diff --git a/cookbook/1-RiskReturnModels.ipynb b/cookbook/1-RiskReturnModels.ipynb
index 3da6e9e0..a1d46f4e 100644
--- a/cookbook/1-RiskReturnModels.ipynb
+++ b/cookbook/1-RiskReturnModels.ipynb
@@ -24,7 +24,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 10,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -32,7 +32,53 @@
     "id": "ajpb4cfuzzCd",
     "outputId": "c075b649-0764-4b2d-cd48-65d6a85e7003"
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Requirement already satisfied: pandas in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (2.2.3)\n",
+      "Requirement already satisfied: numpy in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (2.4.2)\n",
+      "Requirement already satisfied: matplotlib in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (3.10.0)\n",
+      "Requirement already satisfied: PyPortfolioOpt in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (1.6.0)\n",
+      "Requirement already satisfied: python-dateutil>=2.8.2 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from pandas) (2.9.0.post0)\n",
+      "Requirement already satisfied: pytz>=2020.1 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from pandas) (2025.1)\n",
+      "Requirement already satisfied: tzdata>=2022.7 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from pandas) (2025.1)\n",
+      "Requirement already satisfied: contourpy>=1.0.1 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from matplotlib) (1.3.1)\n",
+      "Requirement already satisfied: cycler>=0.10 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from matplotlib) (0.12.1)\n",
+      "Requirement already satisfied: fonttools>=4.22.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from matplotlib) (4.56.0)\n",
+      "Requirement already satisfied: kiwisolver>=1.3.1 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from matplotlib) (1.4.8)\n",
+      "Requirement already satisfied: packaging>=20.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from matplotlib) (24.2)\n",
+      "Requirement already satisfied: pillow>=8 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from matplotlib) (11.1.0)\n",
+      "Requirement already satisfied: pyparsing>=2.3.1 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from matplotlib) (3.2.1)\n",
+      "Requirement already satisfied: cvxpy>=1.1.19 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from PyPortfolioOpt) (1.8.1)\n",
+      "Requirement already satisfied: scikit-base<0.14.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from PyPortfolioOpt) (0.13.1)\n",
+      "Requirement already satisfied: scikit-learn>=0.24.1 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from PyPortfolioOpt) (1.6.1)\n",
+      "Requirement already satisfied: scipy>=1.3.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from PyPortfolioOpt) (1.15.2)\n",
+      "Requirement already satisfied: osqp>=1.0.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from cvxpy>=1.1.19->PyPortfolioOpt) (1.1.1)\n",
+      "Requirement already satisfied: clarabel>=0.5.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from cvxpy>=1.1.19->PyPortfolioOpt) (0.11.1)\n",
+      "Requirement already satisfied: scs>=3.2.4.post1 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from cvxpy>=1.1.19->PyPortfolioOpt) (3.2.11)\n",
+      "Requirement already satisfied: highspy>=1.11.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from cvxpy>=1.1.19->PyPortfolioOpt) (1.13.1)\n",
+      "Requirement already satisfied: six>=1.5 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from python-dateutil>=2.8.2->pandas) (1.17.0)\n",
+      "Requirement already satisfied: joblib>=1.2.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from scikit-learn>=0.24.1->PyPortfolioOpt) (1.4.2)\n",
+      "Requirement already satisfied: threadpoolctl>=3.1.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from scikit-learn>=0.24.1->PyPortfolioOpt) (3.5.0)\n",
+      "Requirement already satisfied: cffi in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from clarabel>=0.5.0->cvxpy>=1.1.19->PyPortfolioOpt) (1.17.1)\n",
+      "Requirement already satisfied: jinja2 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from osqp>=1.0.0->cvxpy>=1.1.19->PyPortfolioOpt) (3.1.5)\n",
+      "Requirement already satisfied: setuptools in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from osqp>=1.0.0->cvxpy>=1.1.19->PyPortfolioOpt) (65.5.0)\n",
+      "Requirement already satisfied: pycparser in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from cffi->clarabel>=0.5.0->cvxpy>=1.1.19->PyPortfolioOpt) (2.22)\n",
+      "Requirement already satisfied: MarkupSafe>=2.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from jinja2->osqp>=1.0.0->cvxpy>=1.1.19->PyPortfolioOpt) (2.1.5)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "[notice] A new release of pip available: 22.3 -> 26.0.1\n",
+      "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
+     ]
+    }
+   ],
    "source": [
     "!pip install pandas numpy matplotlib PyPortfolioOpt\n",
     "import os\n",
@@ -44,7 +90,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 11,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -57,10 +103,10 @@
     {
      "data": {
       "text/plain": [
-       "'1.5.6'"
+       "'1.6.0'"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -78,7 +124,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -87,7 +133,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 13,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -99,7 +145,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -109,7 +155,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -140,7 +186,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 14,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -152,7 +198,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -198,7 +244,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 15,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -210,7 +256,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -220,7 +266,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -249,7 +295,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 16,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -261,7 +307,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -291,7 +337,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 17,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -304,7 +350,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[np.float64(0.2882364468648248), np.float64(0.29381479725985077), np.float64(0.2559298526725975)]\n"
+      "[np.float64(0.28823644686482447), np.float64(0.29381479725985093), np.float64(0.25592985267259755)]\n"
      ]
     }
    ],
@@ -323,7 +369,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 18,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -335,7 +381,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1500x1000 with 3 Axes>"
       ]
@@ -383,7 +429,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.4"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/cookbook/2-Mean-Variance-Optimisation.ipynb b/cookbook/2-Mean-Variance-Optimisation.ipynb
index 7aba6f28..abbe36bf 100644
--- a/cookbook/2-Mean-Variance-Optimisation.ipynb
+++ b/cookbook/2-Mean-Variance-Optimisation.ipynb
@@ -29,9 +29,9 @@
     "\n",
     "Please consult the [docs](https://pyportfolioopt.readthedocs.io/) for more info.\n",
     "\n",
-    "## Downloading data\n",
+    "## Importing data\n",
     "\n",
-    "To download data, we will use `yfinance`, an excellent library that provides free price data from Yahoo Finance, no API key needed.\n",
+    "We will use `load_stockdata`, to import some example price data.\n",
     "\n",
     "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/pyportfolio/pyportfolioopt/blob/master/cookbook/2-Mean-Variance-Optimisation.ipynb)\n",
     "    \n",
@@ -44,379 +44,158 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 57,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:10:54.267009Z",
+     "start_time": "2025-11-12T08:10:53.573242Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "69vaYVwZ-Cxz",
-    "outputId": "dee1bf4a-82ee-4909-e26b-217899258cf2",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:10:54.267009Z",
-     "start_time": "2025-11-12T08:10:53.573242Z"
-    }
+    "outputId": "dee1bf4a-82ee-4909-e26b-217899258cf2"
    },
-   "source": [
-    "!pip install pandas numpy matplotlib yfinance PyPortfolioOpt\n",
-    "import os\n",
-    "if not os.path.isdir('data'):\n",
-    "    os.system('git clone https://github.com/pyportfolio/pyportfolioopt.git')\n",
-    "    os.chdir('PyPortfolioOpt/cookbook')"
-   ],
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Requirement already satisfied: pandas in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (2.3.3)\r\n",
-      "Requirement already satisfied: numpy in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (2.3.4)\r\n",
-      "Requirement already satisfied: matplotlib in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (3.10.7)\r\n",
-      "Requirement already satisfied: yfinance in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (0.2.66)\r\n",
-      "Requirement already satisfied: PyPortfolioOpt in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (1.5.6)\r\n",
-      "Requirement already satisfied: python-dateutil>=2.8.2 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from pandas) (2.9.0.post0)\r\n",
-      "Requirement already satisfied: pytz>=2020.1 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from pandas) (2025.2)\r\n",
-      "Requirement already satisfied: tzdata>=2022.7 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from pandas) (2025.2)\r\n",
-      "Requirement already satisfied: contourpy>=1.0.1 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from matplotlib) (1.3.3)\r\n",
-      "Requirement already satisfied: cycler>=0.10 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from matplotlib) (0.12.1)\r\n",
-      "Requirement already satisfied: fonttools>=4.22.0 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from matplotlib) (4.60.1)\r\n",
-      "Requirement already satisfied: kiwisolver>=1.3.1 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from matplotlib) (1.4.9)\r\n",
-      "Requirement already satisfied: packaging>=20.0 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from matplotlib) (25.0)\r\n",
-      "Requirement already satisfied: pillow>=8 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from matplotlib) (12.0.0)\r\n",
-      "Requirement already satisfied: pyparsing>=3 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from matplotlib) (3.2.5)\r\n",
-      "Requirement already satisfied: requests>=2.31 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from yfinance) (2.32.5)\r\n",
-      "Requirement already satisfied: multitasking>=0.0.7 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from yfinance) (0.0.12)\r\n",
-      "Requirement already satisfied: platformdirs>=2.0.0 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from yfinance) (4.5.0)\r\n",
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-      "\r\n",
-      "\u001B[1m[\u001B[0m\u001B[34;49mnotice\u001B[0m\u001B[1;39;49m]\u001B[0m\u001B[39;49m A new release of pip is available: \u001B[0m\u001B[31;49m24.3.1\u001B[0m\u001B[39;49m -> \u001B[0m\u001B[32;49m25.3\u001B[0m\r\n",
-      "\u001B[1m[\u001B[0m\u001B[34;49mnotice\u001B[0m\u001B[1;39;49m]\u001B[0m\u001B[39;49m To update, run: \u001B[0m\u001B[32;49mpip install --upgrade pip\u001B[0m\r\n"
+      "Requirement already satisfied: pandas in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (2.2.3)\n",
+      "Requirement already satisfied: numpy in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (2.4.2)\n",
+      "Requirement already satisfied: matplotlib in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (3.10.0)\n",
+      "Requirement already satisfied: PyPortfolioOpt in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (1.6.0)\n",
+      "Requirement already satisfied: python-dateutil>=2.8.2 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from pandas) (2.9.0.post0)\n",
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+      "Requirement already satisfied: threadpoolctl>=3.1.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from scikit-learn>=0.24.1->PyPortfolioOpt) (3.5.0)\n",
+      "Requirement already satisfied: cffi in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from clarabel>=0.5.0->cvxpy>=1.1.19->PyPortfolioOpt) (1.17.1)\n",
+      "Requirement already satisfied: jinja2 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from osqp>=1.0.0->cvxpy>=1.1.19->PyPortfolioOpt) (3.1.5)\n",
+      "Requirement already satisfied: setuptools in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from osqp>=1.0.0->cvxpy>=1.1.19->PyPortfolioOpt) (65.5.0)\n",
+      "Requirement already satisfied: pycparser in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from cffi->clarabel>=0.5.0->cvxpy>=1.1.19->PyPortfolioOpt) (2.22)\n",
+      "Requirement already satisfied: MarkupSafe>=2.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from jinja2->osqp>=1.0.0->cvxpy>=1.1.19->PyPortfolioOpt) (2.1.5)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "[notice] A new release of pip available: 22.3 -> 26.0.1\n",
+      "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
      ]
     }
    ],
-   "execution_count": 7
+   "source": [
+    "!pip install pandas numpy matplotlib PyPortfolioOpt\n",
+    "import os\n",
+    "if not os.path.isdir('data'):\n",
+    "    os.system('git clone https://github.com/pyportfolio/pyportfolioopt.git')\n",
+    "    os.chdir('PyPortfolioOpt/cookbook')"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 58,
    "metadata": {
-    "id": "shuJGGeo9ny8",
     "ExecuteTime": {
      "end_time": "2025-11-12T08:10:54.280850Z",
      "start_time": "2025-11-12T08:10:54.278023Z"
-    }
+    },
+    "id": "shuJGGeo9ny8"
    },
+   "outputs": [],
    "source": [
-    "import yfinance as yf\n",
     "import matplotlib.pyplot as plt\n",
     "import pandas as pd\n",
-    "import numpy as np"
-   ],
-   "outputs": [],
-   "execution_count": 8
+    "import numpy as np\n",
+    "from pypfopt.data.data_loader import load_stockdata"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 59,
    "metadata": {
-    "id": "c4r8LJdC9ny8",
     "ExecuteTime": {
      "end_time": "2025-11-12T08:10:54.304666Z",
      "start_time": "2025-11-12T08:10:54.301956Z"
-    }
+    },
+    "id": "c4r8LJdC9ny8"
    },
+   "outputs": [],
    "source": [
     "tickers = [\"MSFT\", \"AMZN\", \"KO\", \"MA\", \"COST\", \n",
     "           \"LUV\", \"XOM\", \"PFE\", \"JPM\", \"UNH\", \n",
     "           \"ACN\", \"DIS\", \"GILD\", \"F\", \"TSLA\"] "
-   ],
-   "outputs": [],
-   "execution_count": 9
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 60,
    "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/"
-    },
-    "id": "XWdfXpB69ny9",
-    "outputId": "e60980bf-21e3-470f-a4f7-99da82c820a4",
     "ExecuteTime": {
-     "end_time": "2025-11-12T08:10:56.505627Z",
-     "start_time": "2025-11-12T08:10:54.345590Z"
-    }
-   },
-   "source": "ohlc = yf.download(tickers, period=\"max\").loc[\"1990\":]",
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/var/folders/_3/k_9k5d5n5zz57w7qfll9rzs40000gn/T/ipykernel_59786/3860718606.py:1: FutureWarning: YF.download() has changed argument auto_adjust default to True\n",
-      "  ohlc = yf.download(tickers, period=\"max\").loc[\"1990\":]\n",
-      "[*********************100%***********************]  15 of 15 completed\n"
-     ]
-    }
-   ],
-   "execution_count": 10
-  },
-  {
-   "cell_type": "code",
-   "metadata": {
+     "end_time": "2025-11-12T08:10:56.559652Z",
+     "start_time": "2025-11-12T08:10:56.550372Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 388
     },
     "id": "S7voZG_T9ny-",
-    "outputId": "de26041a-af6d-4554-eb32-1eb9d57d5f3e",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:10:56.559652Z",
-     "start_time": "2025-11-12T08:10:56.550372Z"
-    }
+    "outputId": "de26041a-af6d-4554-eb32-1eb9d57d5f3e"
    },
+   "outputs": [],
    "source": [
-    "prices = ohlc[\"Close\"].dropna(how=\"all\")\n",
-    "prices.tail()"
-   ],
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Ticker             ACN        AMZN        COST         DIS          F  \\\n",
-       "Date                                                                    \n",
-       "2025-11-05  247.820007  250.199997  935.030029  111.360001  12.960114   \n",
-       "2025-11-06  241.339996  243.039993  923.580017  110.489998  12.969999   \n",
-       "2025-11-07  245.759995  244.410004  922.739990  110.739998  13.210000   \n",
-       "2025-11-10  244.550003  248.399994  915.559998  112.239998  13.160000   \n",
-       "2025-11-11  242.559998  249.100006  913.859985  114.849998  13.300000   \n",
-       "\n",
-       "Ticker            GILD         JPM         KO        LUV          MA  \\\n",
-       "Date                                                                   \n",
-       "2025-11-05  122.580002  311.679993  68.510002  31.620001  553.309998   \n",
-       "2025-11-06  123.400002  313.420013  69.059998  31.510000  553.280029   \n",
-       "2025-11-07  118.839996  314.209991  70.550003  32.450001  551.969971   \n",
-       "2025-11-10  118.150002  316.890015  70.519997  32.660000  552.960022   \n",
-       "2025-11-11  122.559998  315.619995  71.610001  31.990000  558.349976   \n",
-       "\n",
-       "Ticker            MSFT        PFE        TSLA         UNH         XOM  \n",
-       "Date                                                                   \n",
-       "2025-11-05  507.160004  24.184153  462.070007  327.739990  113.680000  \n",
-       "2025-11-06  497.100006  24.420000  445.910004  321.559998  114.500000  \n",
-       "2025-11-07  496.820007  24.430000  429.519989  324.209991  117.220001  \n",
-       "2025-11-10  506.000000  24.389999  445.230011  321.579987  118.220001  \n",
-       "2025-11-11  508.679993  25.510000  439.619995  327.450012  119.779999  "
-      ],
-      "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>Ticker</th>\n",
-       "      <th>ACN</th>\n",
-       "      <th>AMZN</th>\n",
-       "      <th>COST</th>\n",
-       "      <th>DIS</th>\n",
-       "      <th>F</th>\n",
-       "      <th>GILD</th>\n",
-       "      <th>JPM</th>\n",
-       "      <th>KO</th>\n",
-       "      <th>LUV</th>\n",
-       "      <th>MA</th>\n",
-       "      <th>MSFT</th>\n",
-       "      <th>PFE</th>\n",
-       "      <th>TSLA</th>\n",
-       "      <th>UNH</th>\n",
-       "      <th>XOM</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Date</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>2025-11-05</th>\n",
-       "      <td>247.820007</td>\n",
-       "      <td>250.199997</td>\n",
-       "      <td>935.030029</td>\n",
-       "      <td>111.360001</td>\n",
-       "      <td>12.960114</td>\n",
-       "      <td>122.580002</td>\n",
-       "      <td>311.679993</td>\n",
-       "      <td>68.510002</td>\n",
-       "      <td>31.620001</td>\n",
-       "      <td>553.309998</td>\n",
-       "      <td>507.160004</td>\n",
-       "      <td>24.184153</td>\n",
-       "      <td>462.070007</td>\n",
-       "      <td>327.739990</td>\n",
-       "      <td>113.680000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2025-11-06</th>\n",
-       "      <td>241.339996</td>\n",
-       "      <td>243.039993</td>\n",
-       "      <td>923.580017</td>\n",
-       "      <td>110.489998</td>\n",
-       "      <td>12.969999</td>\n",
-       "      <td>123.400002</td>\n",
-       "      <td>313.420013</td>\n",
-       "      <td>69.059998</td>\n",
-       "      <td>31.510000</td>\n",
-       "      <td>553.280029</td>\n",
-       "      <td>497.100006</td>\n",
-       "      <td>24.420000</td>\n",
-       "      <td>445.910004</td>\n",
-       "      <td>321.559998</td>\n",
-       "      <td>114.500000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2025-11-07</th>\n",
-       "      <td>245.759995</td>\n",
-       "      <td>244.410004</td>\n",
-       "      <td>922.739990</td>\n",
-       "      <td>110.739998</td>\n",
-       "      <td>13.210000</td>\n",
-       "      <td>118.839996</td>\n",
-       "      <td>314.209991</td>\n",
-       "      <td>70.550003</td>\n",
-       "      <td>32.450001</td>\n",
-       "      <td>551.969971</td>\n",
-       "      <td>496.820007</td>\n",
-       "      <td>24.430000</td>\n",
-       "      <td>429.519989</td>\n",
-       "      <td>324.209991</td>\n",
-       "      <td>117.220001</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2025-11-10</th>\n",
-       "      <td>244.550003</td>\n",
-       "      <td>248.399994</td>\n",
-       "      <td>915.559998</td>\n",
-       "      <td>112.239998</td>\n",
-       "      <td>13.160000</td>\n",
-       "      <td>118.150002</td>\n",
-       "      <td>316.890015</td>\n",
-       "      <td>70.519997</td>\n",
-       "      <td>32.660000</td>\n",
-       "      <td>552.960022</td>\n",
-       "      <td>506.000000</td>\n",
-       "      <td>24.389999</td>\n",
-       "      <td>445.230011</td>\n",
-       "      <td>321.579987</td>\n",
-       "      <td>118.220001</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2025-11-11</th>\n",
-       "      <td>242.559998</td>\n",
-       "      <td>249.100006</td>\n",
-       "      <td>913.859985</td>\n",
-       "      <td>114.849998</td>\n",
-       "      <td>13.300000</td>\n",
-       "      <td>122.559998</td>\n",
-       "      <td>315.619995</td>\n",
-       "      <td>71.610001</td>\n",
-       "      <td>31.990000</td>\n",
-       "      <td>558.349976</td>\n",
-       "      <td>508.679993</td>\n",
-       "      <td>25.510000</td>\n",
-       "      <td>439.619995</td>\n",
-       "      <td>327.450012</td>\n",
-       "      <td>119.779999</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "execution_count": 11
+    "prices = load_stockdata(tickers=tickers)"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 61,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:10:56.882552Z",
+     "start_time": "2025-11-12T08:10:56.617944Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 563
     },
     "id": "-8Et4dlp9ny-",
-    "outputId": "e35cbcf6-f837-4a84-9946-b7a31d4b6901",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:10:56.882552Z",
-     "start_time": "2025-11-12T08:10:56.617944Z"
-    }
+    "outputId": "e35cbcf6-f837-4a84-9946-b7a31d4b6901"
    },
-   "source": [
-    "prices[prices.index >= \"2008-01-01\"].plot(figsize=(15,10));"
-   ],
    "outputs": [
     {
      "data": {
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",
       "text/plain": [
        "<Figure size 1500x1000 with 1 Axes>"
-      ],
-      "image/png": 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"
+      ]
      },
      "metadata": {},
-     "output_type": "display_data",
-     "jetTransient": {
-      "display_id": null
-     }
+     "output_type": "display_data"
     }
    ],
-   "execution_count": 12
+   "source": [
+    "prices[prices.index >= \"2008-01-01\"].plot(figsize=(15,10));"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -429,115 +208,54 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 62,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:10:57.706490Z",
+     "start_time": "2025-11-12T08:10:56.962206Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 35
     },
     "id": "dTFkI4ll9ny-",
-    "outputId": "2a0c7a48-d357-4445-bdd1-44dbe901c17a",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:10:57.706490Z",
-     "start_time": "2025-11-12T08:10:56.962206Z"
-    }
+    "outputId": "2a0c7a48-d357-4445-bdd1-44dbe901c17a"
    },
-   "source": [
-    "import pypfopt\n",
-    "pypfopt.__version__"
-   ],
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "'1.5.6'"
+       "'1.6.0'"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 62,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 13
+   "source": [
+    "import pypfopt\n",
+    "pypfopt.__version__"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 63,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:10:57.740565Z",
+     "start_time": "2025-11-12T08:10:57.719628Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 520
     },
     "id": "0hDN8ZJG9ny_",
-    "outputId": "35244fed-56ac-4207-ee84-736e924b1210",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:10:57.740565Z",
-     "start_time": "2025-11-12T08:10:57.719628Z"
-    }
+    "outputId": "35244fed-56ac-4207-ee84-736e924b1210"
    },
-   "source": [
-    "from pypfopt import risk_models\n",
-    "from pypfopt import plotting\n",
-    "\n",
-    "sample_cov = risk_models.sample_cov(prices, frequency=252)\n",
-    "sample_cov"
-   ],
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "Ticker       ACN      AMZN      COST       DIS         F      GILD       JPM  \\\n",
-       "Ticker                                                                         \n",
-       "ACN     0.087879  0.045211  0.027071  0.039502  0.042549  0.027293  0.044863   \n",
-       "AMZN    0.045211  0.307429  0.045653  0.054003  0.051213  0.052769  0.061962   \n",
-       "COST    0.027071  0.045653  0.092634  0.027938  0.029847  0.025282  0.035684   \n",
-       "DIS     0.039502  0.054003  0.027938  0.089013  0.042917  0.030226  0.049604   \n",
-       "F       0.042549  0.051213  0.029847  0.042917  0.150588  0.028601  0.059010   \n",
-       "GILD    0.027293  0.052769  0.025282  0.030226  0.028601  0.217525  0.039475   \n",
-       "JPM     0.044863  0.061962  0.035684  0.049604  0.059010  0.039475  0.133386   \n",
-       "KO      0.019031  0.018045  0.017898  0.021648  0.022414  0.016203  0.024977   \n",
-       "LUV     0.036189  0.046514  0.028906  0.041307  0.050190  0.029633  0.052660   \n",
-       "MA      0.043097  0.052424  0.030250  0.046985  0.056848  0.029258  0.062078   \n",
-       "MSFT    0.039949  0.070593  0.033754  0.037004  0.038372  0.032517  0.045667   \n",
-       "PFE     0.024414  0.028826  0.022277  0.024385  0.024299  0.031389  0.031981   \n",
-       "TSLA    0.042784  0.068915  0.030881  0.044845  0.059557  0.028156  0.042675   \n",
-       "UNH     0.028149  0.031414  0.023572  0.028374  0.028534  0.032010  0.037662   \n",
-       "XOM     0.027694  0.024803  0.017215  0.027860  0.030204  0.019950  0.034202   \n",
-       "\n",
-       "Ticker        KO       LUV        MA      MSFT       PFE      TSLA       UNH  \\\n",
-       "Ticker                                                                         \n",
-       "ACN     0.019031  0.036189  0.043097  0.039949  0.024414  0.042784  0.028149   \n",
-       "AMZN    0.018045  0.046514  0.052424  0.070593  0.028826  0.068915  0.031414   \n",
-       "COST    0.017898  0.028906  0.030250  0.033754  0.022277  0.030881  0.023572   \n",
-       "DIS     0.021648  0.041307  0.046985  0.037004  0.024385  0.044845  0.028374   \n",
-       "F       0.022414  0.050190  0.056848  0.038372  0.024299  0.059557  0.028534   \n",
-       "GILD    0.016203  0.029633  0.029258  0.032517  0.031389  0.028156  0.032010   \n",
-       "JPM     0.024977  0.052660  0.062078  0.045667  0.031981  0.042675  0.037662   \n",
-       "KO      0.047342  0.019165  0.023770  0.020717  0.021349  0.014569  0.021770   \n",
-       "LUV     0.019165  0.137159  0.045174  0.033364  0.024131  0.047666  0.030239   \n",
-       "MA      0.023770  0.045174  0.105872  0.045315  0.028930  0.046905  0.037390   \n",
-       "MSFT    0.020717  0.033364  0.045315  0.098125  0.025940  0.052774  0.029705   \n",
-       "PFE     0.021349  0.024131  0.028930  0.025940  0.070425  0.017049  0.027943   \n",
-       "TSLA    0.014569  0.047666  0.046905  0.052774  0.017049  0.335304  0.026924   \n",
-       "UNH     0.021770  0.030239  0.037390  0.029705  0.027943  0.026924  0.130707   \n",
-       "XOM     0.019547  0.022862  0.037327  0.023631  0.021544  0.026332  0.022519   \n",
-       "\n",
-       "Ticker       XOM  \n",
-       "Ticker            \n",
-       "ACN     0.027694  \n",
-       "AMZN    0.024803  \n",
-       "COST    0.017215  \n",
-       "DIS     0.027860  \n",
-       "F       0.030204  \n",
-       "GILD    0.019950  \n",
-       "JPM     0.034202  \n",
-       "KO      0.019547  \n",
-       "LUV     0.022862  \n",
-       "MA      0.037327  \n",
-       "MSFT    0.023631  \n",
-       "PFE     0.021544  \n",
-       "TSLA    0.026332  \n",
-       "UNH     0.022519  \n",
-       "XOM     0.061641  "
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -556,358 +274,395 @@
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
-       "      <th>Ticker</th>\n",
-       "      <th>ACN</th>\n",
+       "      <th></th>\n",
+       "      <th>MSFT</th>\n",
        "      <th>AMZN</th>\n",
-       "      <th>COST</th>\n",
-       "      <th>DIS</th>\n",
-       "      <th>F</th>\n",
-       "      <th>GILD</th>\n",
-       "      <th>JPM</th>\n",
        "      <th>KO</th>\n",
-       "      <th>LUV</th>\n",
        "      <th>MA</th>\n",
-       "      <th>MSFT</th>\n",
+       "      <th>COST</th>\n",
+       "      <th>LUV</th>\n",
+       "      <th>XOM</th>\n",
        "      <th>PFE</th>\n",
-       "      <th>TSLA</th>\n",
+       "      <th>JPM</th>\n",
        "      <th>UNH</th>\n",
-       "      <th>XOM</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Ticker</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",
+       "      <th>ACN</th>\n",
+       "      <th>DIS</th>\n",
+       "      <th>GILD</th>\n",
+       "      <th>F</th>\n",
+       "      <th>TSLA</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>ACN</th>\n",
-       "      <td>0.087879</td>\n",
-       "      <td>0.045211</td>\n",
-       "      <td>0.027071</td>\n",
-       "      <td>0.039502</td>\n",
-       "      <td>0.042549</td>\n",
-       "      <td>0.027293</td>\n",
-       "      <td>0.044863</td>\n",
-       "      <td>0.019031</td>\n",
-       "      <td>0.036189</td>\n",
-       "      <td>0.043097</td>\n",
-       "      <td>0.039949</td>\n",
-       "      <td>0.024414</td>\n",
-       "      <td>0.042784</td>\n",
-       "      <td>0.028149</td>\n",
-       "      <td>0.027694</td>\n",
+       "      <th>MSFT</th>\n",
+       "      <td>0.118042</td>\n",
+       "      <td>-0.000625</td>\n",
+       "      <td>0.002476</td>\n",
+       "      <td>-0.003555</td>\n",
+       "      <td>-0.001978</td>\n",
+       "      <td>0.002496</td>\n",
+       "      <td>-0.001421</td>\n",
+       "      <td>0.002512</td>\n",
+       "      <td>-0.002751</td>\n",
+       "      <td>-0.005036</td>\n",
+       "      <td>0.007886</td>\n",
+       "      <td>-0.003931</td>\n",
+       "      <td>-0.002395</td>\n",
+       "      <td>0.004169</td>\n",
+       "      <td>-0.000947</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>AMZN</th>\n",
-       "      <td>0.045211</td>\n",
-       "      <td>0.307429</td>\n",
-       "      <td>0.045653</td>\n",
-       "      <td>0.054003</td>\n",
-       "      <td>0.051213</td>\n",
-       "      <td>0.052769</td>\n",
-       "      <td>0.061962</td>\n",
-       "      <td>0.018045</td>\n",
-       "      <td>0.046514</td>\n",
-       "      <td>0.052424</td>\n",
-       "      <td>0.070593</td>\n",
-       "      <td>0.028826</td>\n",
-       "      <td>0.068915</td>\n",
-       "      <td>0.031414</td>\n",
-       "      <td>0.024803</td>\n",
+       "      <td>-0.000625</td>\n",
+       "      <td>0.043980</td>\n",
+       "      <td>0.000758</td>\n",
+       "      <td>0.003183</td>\n",
+       "      <td>0.002172</td>\n",
+       "      <td>-0.001754</td>\n",
+       "      <td>0.002383</td>\n",
+       "      <td>0.000902</td>\n",
+       "      <td>0.002105</td>\n",
+       "      <td>0.002064</td>\n",
+       "      <td>-0.000358</td>\n",
+       "      <td>0.004371</td>\n",
+       "      <td>0.000600</td>\n",
+       "      <td>-0.004083</td>\n",
+       "      <td>-0.002212</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>COST</th>\n",
-       "      <td>0.027071</td>\n",
-       "      <td>0.045653</td>\n",
-       "      <td>0.092634</td>\n",
-       "      <td>0.027938</td>\n",
-       "      <td>0.029847</td>\n",
-       "      <td>0.025282</td>\n",
-       "      <td>0.035684</td>\n",
-       "      <td>0.017898</td>\n",
-       "      <td>0.028906</td>\n",
-       "      <td>0.030250</td>\n",
-       "      <td>0.033754</td>\n",
-       "      <td>0.022277</td>\n",
-       "      <td>0.030881</td>\n",
-       "      <td>0.023572</td>\n",
-       "      <td>0.017215</td>\n",
+       "      <th>KO</th>\n",
+       "      <td>0.002476</td>\n",
+       "      <td>0.000758</td>\n",
+       "      <td>0.076737</td>\n",
+       "      <td>-0.003815</td>\n",
+       "      <td>-0.001868</td>\n",
+       "      <td>0.000773</td>\n",
+       "      <td>0.001988</td>\n",
+       "      <td>-0.000708</td>\n",
+       "      <td>0.000801</td>\n",
+       "      <td>-0.003010</td>\n",
+       "      <td>-0.005119</td>\n",
+       "      <td>-0.000958</td>\n",
+       "      <td>-0.003073</td>\n",
+       "      <td>-0.005319</td>\n",
+       "      <td>-0.001311</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>DIS</th>\n",
-       "      <td>0.039502</td>\n",
-       "      <td>0.054003</td>\n",
-       "      <td>0.027938</td>\n",
-       "      <td>0.089013</td>\n",
-       "      <td>0.042917</td>\n",
-       "      <td>0.030226</td>\n",
-       "      <td>0.049604</td>\n",
-       "      <td>0.021648</td>\n",
-       "      <td>0.041307</td>\n",
-       "      <td>0.046985</td>\n",
-       "      <td>0.037004</td>\n",
-       "      <td>0.024385</td>\n",
-       "      <td>0.044845</td>\n",
-       "      <td>0.028374</td>\n",
-       "      <td>0.027860</td>\n",
+       "      <th>MA</th>\n",
+       "      <td>-0.003555</td>\n",
+       "      <td>0.003183</td>\n",
+       "      <td>-0.003815</td>\n",
+       "      <td>0.126109</td>\n",
+       "      <td>0.000245</td>\n",
+       "      <td>-0.004378</td>\n",
+       "      <td>0.002939</td>\n",
+       "      <td>-0.001220</td>\n",
+       "      <td>0.001360</td>\n",
+       "      <td>-0.003197</td>\n",
+       "      <td>-0.001132</td>\n",
+       "      <td>0.002698</td>\n",
+       "      <td>0.001038</td>\n",
+       "      <td>-0.002050</td>\n",
+       "      <td>0.000852</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>F</th>\n",
-       "      <td>0.042549</td>\n",
-       "      <td>0.051213</td>\n",
-       "      <td>0.029847</td>\n",
-       "      <td>0.042917</td>\n",
-       "      <td>0.150588</td>\n",
-       "      <td>0.028601</td>\n",
-       "      <td>0.059010</td>\n",
-       "      <td>0.022414</td>\n",
-       "      <td>0.050190</td>\n",
-       "      <td>0.056848</td>\n",
-       "      <td>0.038372</td>\n",
-       "      <td>0.024299</td>\n",
-       "      <td>0.059557</td>\n",
-       "      <td>0.028534</td>\n",
-       "      <td>0.030204</td>\n",
+       "      <th>COST</th>\n",
+       "      <td>-0.001978</td>\n",
+       "      <td>0.002172</td>\n",
+       "      <td>-0.001868</td>\n",
+       "      <td>0.000245</td>\n",
+       "      <td>0.054877</td>\n",
+       "      <td>-0.000829</td>\n",
+       "      <td>0.003230</td>\n",
+       "      <td>-0.002531</td>\n",
+       "      <td>0.000320</td>\n",
+       "      <td>-0.001268</td>\n",
+       "      <td>0.003008</td>\n",
+       "      <td>-0.003307</td>\n",
+       "      <td>0.001724</td>\n",
+       "      <td>0.000303</td>\n",
+       "      <td>-0.000365</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>GILD</th>\n",
-       "      <td>0.027293</td>\n",
-       "      <td>0.052769</td>\n",
-       "      <td>0.025282</td>\n",
-       "      <td>0.030226</td>\n",
-       "      <td>0.028601</td>\n",
-       "      <td>0.217525</td>\n",
-       "      <td>0.039475</td>\n",
-       "      <td>0.016203</td>\n",
-       "      <td>0.029633</td>\n",
-       "      <td>0.029258</td>\n",
-       "      <td>0.032517</td>\n",
-       "      <td>0.031389</td>\n",
-       "      <td>0.028156</td>\n",
-       "      <td>0.032010</td>\n",
-       "      <td>0.019950</td>\n",
+       "      <th>LUV</th>\n",
+       "      <td>0.002496</td>\n",
+       "      <td>-0.001754</td>\n",
+       "      <td>0.000773</td>\n",
+       "      <td>-0.004378</td>\n",
+       "      <td>-0.000829</td>\n",
+       "      <td>0.036233</td>\n",
+       "      <td>0.002327</td>\n",
+       "      <td>0.001418</td>\n",
+       "      <td>-0.004221</td>\n",
+       "      <td>0.000097</td>\n",
+       "      <td>0.001332</td>\n",
+       "      <td>-0.001026</td>\n",
+       "      <td>-0.000993</td>\n",
+       "      <td>0.000750</td>\n",
+       "      <td>0.000753</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>JPM</th>\n",
-       "      <td>0.044863</td>\n",
-       "      <td>0.061962</td>\n",
-       "      <td>0.035684</td>\n",
-       "      <td>0.049604</td>\n",
-       "      <td>0.059010</td>\n",
-       "      <td>0.039475</td>\n",
-       "      <td>0.133386</td>\n",
-       "      <td>0.024977</td>\n",
-       "      <td>0.052660</td>\n",
-       "      <td>0.062078</td>\n",
-       "      <td>0.045667</td>\n",
-       "      <td>0.031981</td>\n",
-       "      <td>0.042675</td>\n",
-       "      <td>0.037662</td>\n",
-       "      <td>0.034202</td>\n",
+       "      <th>XOM</th>\n",
+       "      <td>-0.001421</td>\n",
+       "      <td>0.002383</td>\n",
+       "      <td>0.001988</td>\n",
+       "      <td>0.002939</td>\n",
+       "      <td>0.003230</td>\n",
+       "      <td>0.002327</td>\n",
+       "      <td>0.065961</td>\n",
+       "      <td>-0.000660</td>\n",
+       "      <td>-0.003515</td>\n",
+       "      <td>0.000203</td>\n",
+       "      <td>-0.000169</td>\n",
+       "      <td>0.001245</td>\n",
+       "      <td>-0.000504</td>\n",
+       "      <td>0.000109</td>\n",
+       "      <td>-0.000574</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>KO</th>\n",
-       "      <td>0.019031</td>\n",
-       "      <td>0.018045</td>\n",
-       "      <td>0.017898</td>\n",
-       "      <td>0.021648</td>\n",
-       "      <td>0.022414</td>\n",
-       "      <td>0.016203</td>\n",
-       "      <td>0.024977</td>\n",
-       "      <td>0.047342</td>\n",
-       "      <td>0.019165</td>\n",
-       "      <td>0.023770</td>\n",
-       "      <td>0.020717</td>\n",
-       "      <td>0.021349</td>\n",
-       "      <td>0.014569</td>\n",
-       "      <td>0.021770</td>\n",
-       "      <td>0.019547</td>\n",
+       "      <th>PFE</th>\n",
+       "      <td>0.002512</td>\n",
+       "      <td>0.000902</td>\n",
+       "      <td>-0.000708</td>\n",
+       "      <td>-0.001220</td>\n",
+       "      <td>-0.002531</td>\n",
+       "      <td>0.001418</td>\n",
+       "      <td>-0.000660</td>\n",
+       "      <td>0.028078</td>\n",
+       "      <td>-0.001671</td>\n",
+       "      <td>0.000092</td>\n",
+       "      <td>-0.000400</td>\n",
+       "      <td>0.000410</td>\n",
+       "      <td>-0.000427</td>\n",
+       "      <td>-0.000098</td>\n",
+       "      <td>0.002261</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>LUV</th>\n",
-       "      <td>0.036189</td>\n",
-       "      <td>0.046514</td>\n",
-       "      <td>0.028906</td>\n",
-       "      <td>0.041307</td>\n",
-       "      <td>0.050190</td>\n",
-       "      <td>0.029633</td>\n",
-       "      <td>0.052660</td>\n",
-       "      <td>0.019165</td>\n",
-       "      <td>0.137159</td>\n",
-       "      <td>0.045174</td>\n",
-       "      <td>0.033364</td>\n",
-       "      <td>0.024131</td>\n",
-       "      <td>0.047666</td>\n",
-       "      <td>0.030239</td>\n",
-       "      <td>0.022862</td>\n",
+       "      <th>JPM</th>\n",
+       "      <td>-0.002751</td>\n",
+       "      <td>0.002105</td>\n",
+       "      <td>0.000801</td>\n",
+       "      <td>0.001360</td>\n",
+       "      <td>0.000320</td>\n",
+       "      <td>-0.004221</td>\n",
+       "      <td>-0.003515</td>\n",
+       "      <td>-0.001671</td>\n",
+       "      <td>0.066765</td>\n",
+       "      <td>0.003138</td>\n",
+       "      <td>0.000485</td>\n",
+       "      <td>0.001515</td>\n",
+       "      <td>0.000608</td>\n",
+       "      <td>-0.002290</td>\n",
+       "      <td>0.001212</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>MA</th>\n",
-       "      <td>0.043097</td>\n",
-       "      <td>0.052424</td>\n",
-       "      <td>0.030250</td>\n",
-       "      <td>0.046985</td>\n",
-       "      <td>0.056848</td>\n",
-       "      <td>0.029258</td>\n",
-       "      <td>0.062078</td>\n",
-       "      <td>0.023770</td>\n",
-       "      <td>0.045174</td>\n",
-       "      <td>0.105872</td>\n",
-       "      <td>0.045315</td>\n",
-       "      <td>0.028930</td>\n",
-       "      <td>0.046905</td>\n",
-       "      <td>0.037390</td>\n",
-       "      <td>0.037327</td>\n",
+       "      <th>UNH</th>\n",
+       "      <td>-0.005036</td>\n",
+       "      <td>0.002064</td>\n",
+       "      <td>-0.003010</td>\n",
+       "      <td>-0.003197</td>\n",
+       "      <td>-0.001268</td>\n",
+       "      <td>0.000097</td>\n",
+       "      <td>0.000203</td>\n",
+       "      <td>0.000092</td>\n",
+       "      <td>0.003138</td>\n",
+       "      <td>0.049726</td>\n",
+       "      <td>0.000776</td>\n",
+       "      <td>0.000094</td>\n",
+       "      <td>0.000319</td>\n",
+       "      <td>-0.000897</td>\n",
+       "      <td>0.001846</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>MSFT</th>\n",
-       "      <td>0.039949</td>\n",
-       "      <td>0.070593</td>\n",
-       "      <td>0.033754</td>\n",
-       "      <td>0.037004</td>\n",
-       "      <td>0.038372</td>\n",
-       "      <td>0.032517</td>\n",
-       "      <td>0.045667</td>\n",
-       "      <td>0.020717</td>\n",
-       "      <td>0.033364</td>\n",
-       "      <td>0.045315</td>\n",
-       "      <td>0.098125</td>\n",
-       "      <td>0.025940</td>\n",
-       "      <td>0.052774</td>\n",
-       "      <td>0.029705</td>\n",
-       "      <td>0.023631</td>\n",
+       "      <th>ACN</th>\n",
+       "      <td>0.007886</td>\n",
+       "      <td>-0.000358</td>\n",
+       "      <td>-0.005119</td>\n",
+       "      <td>-0.001132</td>\n",
+       "      <td>0.003008</td>\n",
+       "      <td>0.001332</td>\n",
+       "      <td>-0.000169</td>\n",
+       "      <td>-0.000400</td>\n",
+       "      <td>0.000485</td>\n",
+       "      <td>0.000776</td>\n",
+       "      <td>0.113508</td>\n",
+       "      <td>-0.001561</td>\n",
+       "      <td>0.002317</td>\n",
+       "      <td>-0.000532</td>\n",
+       "      <td>0.003816</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>PFE</th>\n",
-       "      <td>0.024414</td>\n",
-       "      <td>0.028826</td>\n",
-       "      <td>0.022277</td>\n",
-       "      <td>0.024385</td>\n",
-       "      <td>0.024299</td>\n",
-       "      <td>0.031389</td>\n",
-       "      <td>0.031981</td>\n",
-       "      <td>0.021349</td>\n",
-       "      <td>0.024131</td>\n",
-       "      <td>0.028930</td>\n",
-       "      <td>0.025940</td>\n",
-       "      <td>0.070425</td>\n",
-       "      <td>0.017049</td>\n",
-       "      <td>0.027943</td>\n",
-       "      <td>0.021544</td>\n",
+       "      <th>DIS</th>\n",
+       "      <td>-0.003931</td>\n",
+       "      <td>0.004371</td>\n",
+       "      <td>-0.000958</td>\n",
+       "      <td>0.002698</td>\n",
+       "      <td>-0.003307</td>\n",
+       "      <td>-0.001026</td>\n",
+       "      <td>0.001245</td>\n",
+       "      <td>0.000410</td>\n",
+       "      <td>0.001515</td>\n",
+       "      <td>0.000094</td>\n",
+       "      <td>-0.001561</td>\n",
+       "      <td>0.069010</td>\n",
+       "      <td>0.000615</td>\n",
+       "      <td>-0.000362</td>\n",
+       "      <td>0.000023</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>TSLA</th>\n",
-       "      <td>0.042784</td>\n",
-       "      <td>0.068915</td>\n",
-       "      <td>0.030881</td>\n",
-       "      <td>0.044845</td>\n",
-       "      <td>0.059557</td>\n",
-       "      <td>0.028156</td>\n",
-       "      <td>0.042675</td>\n",
-       "      <td>0.014569</td>\n",
-       "      <td>0.047666</td>\n",
-       "      <td>0.046905</td>\n",
-       "      <td>0.052774</td>\n",
-       "      <td>0.017049</td>\n",
-       "      <td>0.335304</td>\n",
-       "      <td>0.026924</td>\n",
-       "      <td>0.026332</td>\n",
+       "      <th>GILD</th>\n",
+       "      <td>-0.002395</td>\n",
+       "      <td>0.000600</td>\n",
+       "      <td>-0.003073</td>\n",
+       "      <td>0.001038</td>\n",
+       "      <td>0.001724</td>\n",
+       "      <td>-0.000993</td>\n",
+       "      <td>-0.000504</td>\n",
+       "      <td>-0.000427</td>\n",
+       "      <td>0.000608</td>\n",
+       "      <td>0.000319</td>\n",
+       "      <td>0.002317</td>\n",
+       "      <td>0.000615</td>\n",
+       "      <td>0.039763</td>\n",
+       "      <td>-0.000108</td>\n",
+       "      <td>0.002434</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>UNH</th>\n",
-       "      <td>0.028149</td>\n",
-       "      <td>0.031414</td>\n",
-       "      <td>0.023572</td>\n",
-       "      <td>0.028374</td>\n",
-       "      <td>0.028534</td>\n",
-       "      <td>0.032010</td>\n",
-       "      <td>0.037662</td>\n",
-       "      <td>0.021770</td>\n",
-       "      <td>0.030239</td>\n",
-       "      <td>0.037390</td>\n",
-       "      <td>0.029705</td>\n",
-       "      <td>0.027943</td>\n",
-       "      <td>0.026924</td>\n",
-       "      <td>0.130707</td>\n",
-       "      <td>0.022519</td>\n",
+       "      <th>F</th>\n",
+       "      <td>0.004169</td>\n",
+       "      <td>-0.004083</td>\n",
+       "      <td>-0.005319</td>\n",
+       "      <td>-0.002050</td>\n",
+       "      <td>0.000303</td>\n",
+       "      <td>0.000750</td>\n",
+       "      <td>0.000109</td>\n",
+       "      <td>-0.000098</td>\n",
+       "      <td>-0.002290</td>\n",
+       "      <td>-0.000897</td>\n",
+       "      <td>-0.000532</td>\n",
+       "      <td>-0.000362</td>\n",
+       "      <td>-0.000108</td>\n",
+       "      <td>0.114814</td>\n",
+       "      <td>0.002834</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>XOM</th>\n",
-       "      <td>0.027694</td>\n",
-       "      <td>0.024803</td>\n",
-       "      <td>0.017215</td>\n",
-       "      <td>0.027860</td>\n",
-       "      <td>0.030204</td>\n",
-       "      <td>0.019950</td>\n",
-       "      <td>0.034202</td>\n",
-       "      <td>0.019547</td>\n",
-       "      <td>0.022862</td>\n",
-       "      <td>0.037327</td>\n",
-       "      <td>0.023631</td>\n",
-       "      <td>0.021544</td>\n",
-       "      <td>0.026332</td>\n",
-       "      <td>0.022519</td>\n",
-       "      <td>0.061641</td>\n",
+       "      <th>TSLA</th>\n",
+       "      <td>-0.000947</td>\n",
+       "      <td>-0.002212</td>\n",
+       "      <td>-0.001311</td>\n",
+       "      <td>0.000852</td>\n",
+       "      <td>-0.000365</td>\n",
+       "      <td>0.000753</td>\n",
+       "      <td>-0.000574</td>\n",
+       "      <td>0.002261</td>\n",
+       "      <td>0.001212</td>\n",
+       "      <td>0.001846</td>\n",
+       "      <td>0.003816</td>\n",
+       "      <td>0.000023</td>\n",
+       "      <td>0.002434</td>\n",
+       "      <td>0.002834</td>\n",
+       "      <td>0.039648</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "          MSFT      AMZN        KO        MA      COST       LUV       XOM  \\\n",
+       "MSFT  0.118042 -0.000625  0.002476 -0.003555 -0.001978  0.002496 -0.001421   \n",
+       "AMZN -0.000625  0.043980  0.000758  0.003183  0.002172 -0.001754  0.002383   \n",
+       "KO    0.002476  0.000758  0.076737 -0.003815 -0.001868  0.000773  0.001988   \n",
+       "MA   -0.003555  0.003183 -0.003815  0.126109  0.000245 -0.004378  0.002939   \n",
+       "COST -0.001978  0.002172 -0.001868  0.000245  0.054877 -0.000829  0.003230   \n",
+       "LUV   0.002496 -0.001754  0.000773 -0.004378 -0.000829  0.036233  0.002327   \n",
+       "XOM  -0.001421  0.002383  0.001988  0.002939  0.003230  0.002327  0.065961   \n",
+       "PFE   0.002512  0.000902 -0.000708 -0.001220 -0.002531  0.001418 -0.000660   \n",
+       "JPM  -0.002751  0.002105  0.000801  0.001360  0.000320 -0.004221 -0.003515   \n",
+       "UNH  -0.005036  0.002064 -0.003010 -0.003197 -0.001268  0.000097  0.000203   \n",
+       "ACN   0.007886 -0.000358 -0.005119 -0.001132  0.003008  0.001332 -0.000169   \n",
+       "DIS  -0.003931  0.004371 -0.000958  0.002698 -0.003307 -0.001026  0.001245   \n",
+       "GILD -0.002395  0.000600 -0.003073  0.001038  0.001724 -0.000993 -0.000504   \n",
+       "F     0.004169 -0.004083 -0.005319 -0.002050  0.000303  0.000750  0.000109   \n",
+       "TSLA -0.000947 -0.002212 -0.001311  0.000852 -0.000365  0.000753 -0.000574   \n",
+       "\n",
+       "           PFE       JPM       UNH       ACN       DIS      GILD         F  \\\n",
+       "MSFT  0.002512 -0.002751 -0.005036  0.007886 -0.003931 -0.002395  0.004169   \n",
+       "AMZN  0.000902  0.002105  0.002064 -0.000358  0.004371  0.000600 -0.004083   \n",
+       "KO   -0.000708  0.000801 -0.003010 -0.005119 -0.000958 -0.003073 -0.005319   \n",
+       "MA   -0.001220  0.001360 -0.003197 -0.001132  0.002698  0.001038 -0.002050   \n",
+       "COST -0.002531  0.000320 -0.001268  0.003008 -0.003307  0.001724  0.000303   \n",
+       "LUV   0.001418 -0.004221  0.000097  0.001332 -0.001026 -0.000993  0.000750   \n",
+       "XOM  -0.000660 -0.003515  0.000203 -0.000169  0.001245 -0.000504  0.000109   \n",
+       "PFE   0.028078 -0.001671  0.000092 -0.000400  0.000410 -0.000427 -0.000098   \n",
+       "JPM  -0.001671  0.066765  0.003138  0.000485  0.001515  0.000608 -0.002290   \n",
+       "UNH   0.000092  0.003138  0.049726  0.000776  0.000094  0.000319 -0.000897   \n",
+       "ACN  -0.000400  0.000485  0.000776  0.113508 -0.001561  0.002317 -0.000532   \n",
+       "DIS   0.000410  0.001515  0.000094 -0.001561  0.069010  0.000615 -0.000362   \n",
+       "GILD -0.000427  0.000608  0.000319  0.002317  0.000615  0.039763 -0.000108   \n",
+       "F    -0.000098 -0.002290 -0.000897 -0.000532 -0.000362 -0.000108  0.114814   \n",
+       "TSLA  0.002261  0.001212  0.001846  0.003816  0.000023  0.002434  0.002834   \n",
+       "\n",
+       "          TSLA  \n",
+       "MSFT -0.000947  \n",
+       "AMZN -0.002212  \n",
+       "KO   -0.001311  \n",
+       "MA    0.000852  \n",
+       "COST -0.000365  \n",
+       "LUV   0.000753  \n",
+       "XOM  -0.000574  \n",
+       "PFE   0.002261  \n",
+       "JPM   0.001212  \n",
+       "UNH   0.001846  \n",
+       "ACN   0.003816  \n",
+       "DIS   0.000023  \n",
+       "GILD  0.002434  \n",
+       "F     0.002834  \n",
+       "TSLA  0.039648  "
       ]
      },
-     "execution_count": 14,
+     "execution_count": 63,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 14
+   "source": [
+    "from pypfopt import risk_models\n",
+    "from pypfopt import plotting\n",
+    "\n",
+    "sample_cov = risk_models.sample_cov(prices, frequency=252)\n",
+    "sample_cov"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 64,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:10:57.933296Z",
+     "start_time": "2025-11-12T08:10:57.844162Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 297
     },
     "id": "HZ15mDtz9ny_",
-    "outputId": "5fe64424-4756-4289-e29e-39edc3eb83df",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:10:57.933296Z",
-     "start_time": "2025-11-12T08:10:57.844162Z"
-    }
+    "outputId": "5fe64424-4756-4289-e29e-39edc3eb83df"
    },
-   "source": [
-    "plotting.plot_covariance(sample_cov, plot_correlation=True);"
-   ],
    "outputs": [
     {
      "data": {
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
-      ],
-      "image/png": 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"
+      ]
      },
      "metadata": {},
-     "output_type": "display_data",
-     "jetTransient": {
-      "display_id": null
-     }
+     "output_type": "display_data"
     }
    ],
-   "execution_count": 15
+   "source": [
+    "plotting.plot_covariance(sample_cov, plot_correlation=True);"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -920,38 +675,35 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 65,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:10:58.411124Z",
+     "start_time": "2025-11-12T08:10:57.991804Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 297
     },
     "id": "htpILjX-9nzA",
-    "outputId": "254cc6d7-bbee-48bf-c888-82c85a96bf83",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:10:58.411124Z",
-     "start_time": "2025-11-12T08:10:57.991804Z"
-    }
+    "outputId": "254cc6d7-bbee-48bf-c888-82c85a96bf83"
    },
-   "source": [
-    "S = risk_models.CovarianceShrinkage(prices).ledoit_wolf()\n",
-    "plotting.plot_covariance(S, plot_correlation=True);"
-   ],
    "outputs": [
     {
      "data": {
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
-      ],
-      "image/png": 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"
+      ]
      },
      "metadata": {},
-     "output_type": "display_data",
-     "jetTransient": {
-      "display_id": null
-     }
+     "output_type": "display_data"
     }
    ],
-   "execution_count": 16
+   "source": [
+    "S = risk_models.CovarianceShrinkage(prices).ledoit_wolf()\n",
+    "plotting.plot_covariance(S, plot_correlation=True);"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -968,86 +720,82 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 66,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:10:58.430718Z",
+     "start_time": "2025-11-12T08:10:58.418328Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "c_syhOUu9nzH",
-    "outputId": "40e40fd5-06ac-4f42-c375-7a240c15c27e",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:10:58.430718Z",
-     "start_time": "2025-11-12T08:10:58.418328Z"
-    }
+    "outputId": "40e40fd5-06ac-4f42-c375-7a240c15c27e"
    },
-   "source": [
-    "from pypfopt import expected_returns\n",
-    "\n",
-    "mu = expected_returns.capm_return(prices)\n",
-    "mu"
-   ],
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "Ticker\n",
-       "ACN     0.202011\n",
-       "AMZN    0.352581\n",
-       "COST    0.175672\n",
-       "DIS     0.206533\n",
-       "F       0.241105\n",
-       "GILD    0.240912\n",
-       "JPM     0.263090\n",
-       "KO      0.118175\n",
-       "LUV     0.224131\n",
-       "MA      0.244448\n",
-       "MSFT    0.215577\n",
-       "PFE     0.152560\n",
-       "TSLA    0.309169\n",
-       "UNH     0.193748\n",
-       "XOM     0.139997\n",
+       "MSFT    0.201467\n",
+       "AMZN    0.093748\n",
+       "KO      0.102280\n",
+       "MA      0.208713\n",
+       "COST    0.094182\n",
+       "LUV     0.057803\n",
+       "XOM     0.128902\n",
+       "PFE     0.049005\n",
+       "JPM     0.111935\n",
+       "UNH     0.078781\n",
+       "ACN     0.217092\n",
+       "DIS     0.120652\n",
+       "GILD    0.073471\n",
+       "F       0.187965\n",
+       "TSLA    0.088108\n",
        "Name: mkt, dtype: float64"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 66,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 17
+   "source": [
+    "from pypfopt import expected_returns\n",
+    "\n",
+    "mu = expected_returns.capm_return(prices)\n",
+    "mu"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 67,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:10:58.513425Z",
+     "start_time": "2025-11-12T08:10:58.464687Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 374
     },
     "id": "MlqP3XP99nzH",
-    "outputId": "f5e026c2-d259-4894-d3dc-a667d591e101",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:10:58.513425Z",
-     "start_time": "2025-11-12T08:10:58.464687Z"
-    }
+    "outputId": "f5e026c2-d259-4894-d3dc-a667d591e101"
    },
-   "source": [
-    "mu.plot.barh(figsize=(10,6));"
-   ],
    "outputs": [
     {
      "data": {
+      "image/png": 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AAAAaXHBKAtPNN98cV111VRxxxBE1jg0cODCmTJkSJ5xwQloo4umnn17jPqekFHlSHGLV+5yqJFX4kiV7yX1TAAAAjTY4zZgxIy0dPmzYsPTeolUNGjQonY2aPXt23HPPPXHYYYfFJZdcEl/72teiXbt2aZW9ZEle0icJSKvbc88948QTT4xx48bV1fABAADq/h6nJPQkFfNWD01VwSkJR8k9UH/5y1/iJz/5Sfz2t7+NAw88MPbff/80EP3oRz+KXr16rfP8F198caxcubKuhg8AAFCtILcpFRoasaQceVpdb+S0aFHUOt/DAQCAZmPh2AHRELNBUkSuuLg4v+XIAQAAGrs6rarXkM29qF9mqgQAAEiYcQIAAMggOAEAAGQQnAAAADIITgAAABkEJwAAgAyCEwAAQAbBCQAAIIPgBAAAkEFwAgAAyCA4AQAAZBCcAAAAMghOAAAAGQQnAACADIITAABAhsJopnqNnhktilrnexhAA7dw7IB8DwEAaADMOAEAAGQQnAAAADIITgAAAPkKToccckiMHDlyjf2TJ0+O9u3bp6/HjBkTBQUFcdZZZ9Xo88wzz6T7Fy5cmG4nP5PtZP+Gfg4AAECTmXFq1apVTJgwIV555ZV8DwUAAKBhBqfu3btHnz594sILL8z3UAAAABpuOfKxY8fG/vvvH08++WTst99+tXruysrKtFWpqKio1fMDAABNX95nnBL77rtvfPe7343zzz9/vf2++tWvRtu2bWu0Rx55ZL3vKS8vj5KSkupWWlpay6MHAACaugYx45T45S9/Gbvvvnvcf//9se222661zy233JL2WdWJJ5643vOWlZXFueeeW2PGSXgCAAAaRHAqLi6OpUuXrrH/gw8+SGd+VrfrrrvGGWecET/96U/TYhFrkwSerl271ti3xRZbrHccRUVFaQMAAGhwS/WSog9PPfXUGvuTfd26dVvre37xi1/Eyy+/HFOnTq2rYQEAADSc4DR8+PA0BP3oRz+K5557LubPnx9XX311TJkyJUaNGrXW92y33Xbpsrpx48bV1bAAAAAaTnDaZZdd4uGHH46XXnop+vbtG717945p06bFrbfeGv3791/n+84777y06AMAAEBDUZDL5XLRjCTFIdLqeiOnRYui1vkeDtDALRw7IN9DAADqOBsktRmSGg2NoqpefZt7Ub/M/zkAAAAN5jlOAAAADZngBAAAkEFwAgAAyCA4AQAAZBCcAAAAMghOAAAAGQQnAACADIITAABABsEJAAAgg+AEAACQQXACAADIIDgBAABkEJwAAAAyCE4AAAAZBCcAAIAMhdFM9Ro9M1oUtc73MACoYwvHDsj3EABoAsw4AQAAZBCcAAAAMghOAAAADS04DR06NAYOHFj9uqCgIG2bb755dO3aNS6++OJYsWJFenzWrFnpsS233DI+++yzGud54oknqt8LAADQpGec+vfvH4sXL45XXnklRo0aFWPGjIkrrriiRp927drF9OnTa+ybMGFC7LTTTvU8WgAAoDnKe3AqKiqKjh07RufOnWP48OHRt2/fuOuuu2r0OfXUU2PixInV259++mlMnTo13Z+lsrIyKioqajQAAIBGFZxWt8UWW8SyZctq7Dv55JPjkUceiTfeeCPdvu2226JLly6x7777Zp6vvLw8SkpKqltpaWmdjR0AAGiaGkxwyuVy8cADD8TMmTPj0EMPrXFs2223jSOPPDImT56cbiezT6eddtoGnbesrCyWLl1a3RYtWlQn4wcAAJquvAenGTNmRNu2baNVq1ZpOBoyZEh6n9PqkqCUBKd//etfMWfOnDjxxBM3eClgcXFxjQYAANCoglOfPn3imWeeSYtDJPcu3XTTTdGmTZs1+iWhKjk+bNiwOOqoo2LrrbfOy3gBAIDmpzDfA0hCUlKGPEthYWGccsopcfnll8ef//znehkbAABAg5hx2hiXXHJJ/Pvf/45+/frleygAAEAzUu8zTitXrkxnjzZF8pDcDh061PqYAAAAGlRwevfdd6uX5lVVyVuXQw45JK22ty4DBw5c73EAAIBGFZzef//9ePTRR2PWrFlx1llnRb7NvaifCnsAAEDDCk5JOfEnnngiRo0aFcccc0x9fSwAAEDjCU7Tp0+vr48CAABovlX1AAAA8kFwAgAAyCA4AQAAZBCcAAAAMghOAAAAGQQnAACADIITAABABsEJAAAgg+AEAACQQXACAADIIDgBAABkEJwAAAAyCE4AAAAZCqOZ6jV6ZrQoap3vYUANC8cOyPcQAABYCzNOAAAAGQQnAACAhhachg4dGgUFBWnbfPPNo2vXrnHxxRfHihUrYtasWdXHVm0/+9nP0veu63jSlixZUt9fBQAAaCbyco9T//79Y9KkSVFZWRn33ntvjBgxIjbbbLP4yle+kh6fP39+FBcXV/dv27Ztjfevfjyx7bbb1tPoAQCA5iYvwamoqCg6duyYvh4+fHhMnz497rrrrurglISg9u3br/P9WccBAACaXFW9LbbYIt577706OXcyq5W0KhUVFXXyOQAAQNOV1+IQuVwuHnjggZg5c2Yceuih1ft33HHHdHleVVs9VK1+vGfPnuv8jPLy8igpKalupaWldfqdAACApicvM04zZsxIA8/y5ctj5cqVccIJJ8SYMWPiiSeeSI8/8sgj0a5du+r+W265ZY33r348uT9qXcrKyuLcc8+tMeMkPAEAAA0+OPXp0yfGjx+fVtXr1KlTFBbWHMbOO++83nuYso6vfj9V0gAAABpVcGrTpk1ahhwAAKAxaBDFITbWu+++G5999lmNfVtvvfV6l+wBAAA0q+DUvXv3NfbNmTMnDjzwwLyMBwAAaNrqPThNnjx5nccOOeSQtNLeph4HAABocuXIAQAAGoNGuVSvNsy9qF8UFxfnexgAAEAjYMYJAAAgg+AEAACQQXACAADIIDgBAABkEJwAAAAyCE4AAAAZBCcAAIAMghMAAEAGwQkAACCD4AQAAJBBcAIAAMggOAEAAGQQnAAAADIITgAAABkKo5nqNXpmtChqne9hAMAXtnDsgHwPAaDJM+MEAACQQXACAADIIDgBAADUd3D6/PPP46tf/Wp8+9vfrrF/6dKlUVpaGhdeeGG6PWPGjDj44IOjXbt20bp169h///1j8uTJNd6zcOHCKCgoiJYtW8Zbb71V49jixYujsLAwPZ70AwAAaDTBKQk5SQC677774g9/+EP1/rPPPju22mqrGD16dFx33XVxzDHHxEEHHRT/+Mc/4rnnnovjjjsuzjrrrDjvvPPWOOcOO+wQN998c419N910U7ofAACgUS7V69atW4wdOzYNS8nM0J133hlTp05Nw88777wTo0aNipEjR8all14ae+yxR3Tt2jXdd8UVV8RVV12VhqlVnXrqqTFp0qQa+5LtZD8AAECjvccpCU177713nHzyyXHmmWfGL37xi3T7T3/6UyxfvnytM0vf//73o23btjFlypQa+48++uh4//33Y/bs2el28jPZPuqoozLHUVlZGRUVFTUaAABAgwhOyb1H48ePjwcffDC22267+OlPf5ruf/nll6OkpCS23377Nd6z+eabxy677JL2WdVmm20WJ510UkycODHdTn4m28n+LOXl5ennVbXkPisAAIAGU1UvCThJ4YfXXnst3nzzzS90rtNOOy1uvfXWWLJkSfoz2d4QZWVlaWGKqrZo0aIvNA4AAKD5qbPg9Nhjj8U111yTVs874IADYtiwYZHL5dL7n5IA8/bbb6/xnmXLlsWrr76a9lndnnvuGT169Ijjjz8+dt999+jVq9cGjaOoqCiKi4trNAAAgLwHp08++SSGDh0aw4cPjz59+sSECRPi8ccfjxtvvDEGDRqULrFLikCsLjn+8ccfp+FobZJZplmzZm3wbBMAAEBtKIw6kCyPS2aXksp6iS5dusSVV16ZFoQ48sgj4/LLL0+r6LVq1SotHpEEqaTy3gUXXJDu792791rPe8YZZ8TgwYOjffv2dTFsAACA+glODz30UNxwww3pzFByf9OqFfNuv/32dMneAw88kBaBSMLUr3/96/ShuT179kyLSXzve99b57mTB9526NChtocMAACwXgW5ZGqoGUnKkafV9UZOixZF/3+wA4DGauHYAfkeAkCjzgZJDYasWgh1WlUPAACgKaiTe5wag7kX9VNhDwAA2CBmnAAAADIITgAAABkEJwAAgAyCEwAAQAbBCQAAIIPgBAAAkEFwAgAAyCA4AQAAZBCcAAAAMghOAAAAGQQnAACADIITAABABsEJAAAgg+AEAACQoTCaqV6jZ0aLotb5HgY0CAvHDsj3EAAAGjQzTgAAABkEJwAAgAyCEwAAQEMJTkOHDo2BAweusf+QQw6JkSNHrrF/8uTJ0b59+/T12WefHbvvvvtaz/vGG29Ey5Yt46677qqDUQMAADSSGadhw4bFSy+9FI899thaA9a2224b3/zmN/MyNgAAoOlrFMHpS1/6Uuy7774xceLEGvtzuVwanE499dQoLGy2BQIBAIA61iiCU9Ws07Rp0+Ljjz+u3jdr1qx47bXX4rTTTlvn+yorK6OioqJGAwAAaJLB6YQTTojly5fHrbfeWr1v0qRJ8bWvfS26deu2zveVl5dHSUlJdSstLa2nEQMAAE1FowlOSaGIb3/729XL9ZKZo9tuuy2diVqfsrKyWLp0aXVbtGhRPY0YAABoKvJ+Y1BxcXEaaFb3wQcfpDNEq0pC0mGHHRYLFiyIv/3tb2k1vcGDB6/3/EVFRWkDAABotMGpe/fucf/996+x/6mnnlpjCV6fPn1i5513TpfoJcHpuOOOizZt2tTjaAEAgOaoXoNTMrP0zDPP1Nj3rW99K66//vr40Y9+FKeffno6O3TPPffElClT4u67767Rt6CgIC0EcfXVV8f7778f11xzTX0OHwAAaKbqNTglVfD22WefNZbfPfzww3HhhRdG3759Y9myZdGjR4+0CET//v3X+iDd0aNHR8+ePaN37971OHoAAKC5KsglD0NqRpKiEml1vZHTokVR63wPBxqEhWMH5HsIAAB5ywbJyrik9kKTqKoHAADQbItD5Mvci/plpkoAAICEGScAAIAMghMAAEAGwQkAACCD4AQAAJBBcAIAAMggOAEAAGQQnAAAADIITgAAABkEJwAAgAyCEwAAQAbBCQAAIIPgBAAAkEFwAgAAyCA4AQAAZCiMZqrX6JnRoqh1vocBUK8Wjh2Q7yEAQKNkxgkAACCD4AQAAJBBcAIAAKjr4LRkyZI4++yzY5dddomioqIoLS2No446Kh588MHqPo899lh885vfjC233DJatWoVe+65Z1x99dXx+eef1zjXQw89FIceemhstdVW0bp169htt93i1FNPjWXLlsXQoUOjoKBgna1Lly5f9KsAAADUfnBauHBhfPnLX46//vWvccUVV8Tzzz8f9913X/Tp0ydGjBiR9pk+fXocfPDBseOOO8bf/va3eOmll+Kcc86JX/7yl3HcccdFLpdL+7344ovRv3//2G+//eLhhx9Oz3XdddfF5ptvngasX//617F48eLqlpg0aVL19hNPPPFFvgoAAMA6FeSqkssmSGaRnnvuuZg/f360adOmxrEPPvggNttss+jcuXManG677bYax+++++44+uijY+rUqTFkyJC49tpr03D02muvbdBnJ7NMSSgbOHDgRo25oqIiSkpKonTkNFX1gGZHVT0AWDMbLF26NIqLi6NOZpz++9//prNLyczS6qEp0b59+7j//vvjvffei/POO2+N48lyvm7dusWUKVPS7Y4dO6YzR8lsU22qrKxM/4es2gAAADbGJgenBQsWpMvsevTosc4+L7/8cvpz9913X+vx5L1VfQYPHhzHH398Oju1/fbbx7HHHhvXX3/9Fw465eXlaYqsask9WAAAAPUSnDZmhd+G9G3ZsmV6z9Kbb74Zl19+eeywww5x6aWXRs+ePavvadoUZWVl6dRbVVu0aNEmnwsAAGieNjk4JRXvkvuMkmIP65IsxUvMmzdvrceT/VV9qiSB6eSTT05nm1544YX47LPP4sYbb9zUYaaV/pL1iqs2AACAeglOScnwfv36xQ033BAff/zxGseT4hBHHHFE2u+qq65a4/hdd90Vr7zySro8b12S8uXJsr21nR8AAKBRlCNPQlNSKvyAAw5Iq+YlQSiZRRo3blx85StfSYtG/Pa3v40777wzzjzzzLQCX1LCfMKECelzmb7zne/Ed7/73fRcSb/hw4enBSVeffXVdLbp/PPPT38mhSQAAADypfCLvDl56O1TTz0Vv/rVr2LUqFHpvUjbbLNN+myn8ePHp32ScJQ8vynp8/Wvfz1depcs87vwwgtj5MiR6XK/RBK+Zs+eHWeddVa8/fbb0bZt2/T+pjvuuCMtGAEAANAon+PUGHmOE9CceY4TAGzac5y+0IxTYzb3on4KRQAAAHV/jxMAAEBzIDgBAABkEJwAAAAyCE4AAAAZBCcAAIAMghMAAEAGwQkAACCD4AQAAJBBcAIAAMggOAEAAGQQnAAAADIITgAAABkEJwAAgAyCEwAAQAbBCQAAIENhNFO9Rs+MFkWt8z0MAADIm4VjB+R7CI2GGScAAIAMghMAAEAGwQkAAKAhB6ehQ4dGQUFBnHXWWWscGzFiRHos6bOqOXPmRMuWLWPAAOsxAQCAZjLjVFpaGlOnTo1PP/20et9nn30Wf/zjH2OnnXZao/+ECRPi7LPPjocffjjefvvteh4tAADQHOU9OO27775peLr99tur9yWvk9C0zz771Oj70UcfxS233BLDhw9PZ5wmT56cef7KysqoqKio0QAAABpVcEqcdtppMWnSpOrtiRMnxve+9701+k2bNi169OgR3bt3j5NOOintl8vl1nvu8vLyKCkpqW5JSAMAAGh0wSkJQbNnz47XX389bY8++mi6b23L9Kr29+/fP5YuXRoPPfTQes9dVlaW9qtqixYtqrPvAQAANE0N4gG422yzTfXSu2QGKXndoUOHGn3mz58fjz/+eEyfPj3dLiwsjCFDhqRh6pBDDlnnuYuKitIGAADQqINT1XK9H/7wh+nrG264YY3jSUBasWJFdOrUqXpfErKSUHT99deny/AAAACa7FK9qqV3y5Yti+XLl0e/fv1qHEsC08033xxXXXVVPPPMM9Xt2WefTYPUlClT8jZuAACg6WswM07Js5nmzZtX/XpVM2bMiPfffz+GDRu2xszSoEGD0tmotT0LCgAAoEnNOCWKi4vTtrokGPXt23ety/GS4PTkk0/Gc889V0+jBAAAmpu8zjhlPYfpjjvuyDzHAQcckFmSHAAAoEks1atvcy/qt9bZLQAAgAa9VA8AAKAhEpwAAAAyCE4AAAAZBCcAAIAMghMAAEAGwQkAACCD4AQAAJBBcAIAAMggOAEAAGQQnAAAADIITgAAABkEJwAAgAyCEwAAQAbBCQAAIIPgBAAAkKEwmqleo2dGi6LW+R4GQJO2cOyAfA8BAGqFGScAAIAMghMAAEBjCU5Dhw6NgQMH1tj3pz/9KVq1ahVXXXVVfPrppzF69Ojo1q1bFBUVRYcOHWLw4MHxwgsv5G3MAABA89BggtPqfve738WJJ54Y48ePjx/+8IfRt2/fmDhxYvzyl7+Ml19+Oe69995YsWJF9O7dO/7+97/ne7gAAEAT1iCLQ1x++eXp7NLUqVPj2GOPjcsuuyzmzJkTTz/9dOy9995pn86dO8dtt92WBqdhw4bF3Llzo6CgIN9DBwAAmqAGN+N0/vnnxyWXXBIzZsxIQ1Pij3/8Yxx++OHVoalKixYt4v/8n/8TL774Yjz77LNrPV9lZWVUVFTUaAAAAI02OP35z39OZ5vuvPPOOOyww6r3J0vzdt9997W+p2p/0mdtysvLo6SkpLqVlpbW0egBAICmqkEFp7322iu6dOmSLtP76KOPahzL5XKbdM6ysrJYunRpdVu0aFEtjRYAAGguGlRw2mGHHWLWrFnx1ltvRf/+/ePDDz9M9yeV9ObNm7fW91TtT/qsTVKBr7i4uEYDAABotMGpqujDQw89FEuWLKkOT8cdd1w88MADa9zHtHLlyrjmmmtijz32WOP+JwAAgCYbnBLJfUjJzNO7774b/fr1ixEjRsQBBxwQRx11VNx6663xxhtvxBNPPBGDBg1KZ5wmTJigoh4AANC8glNixx13TMPTf/7znzQ83X///XHKKafEBRdcEF27dk1no1q2bJk+w+nAAw/M93ABAIAmrCC3qVUXGqmkHHlaXW/ktGhR1DrfwwFo0haOHZDvIQBAZjZIishl1UJosDNOAAAADUVhNFNzL+qnwh4AALBBzDgBAABkEJwAAAAyCE4AAAAZBCcAAIAMghMAAEAGwQkAACCD4AQAAJBBcAIAAMggOAEAAGQQnAAAADIITgAAABkEJwAAgAyCEwAAQAbBCQAAIENhNFO9Rs+MFkWt8z0MgHqzcOyAfA8BABotM04AAAAZBCcAAIAMghMAAEBdBKc5c+ZEy5YtY8CAmuvlFy5cGAUFBemxt956q8axxYsXR2FhYXo86Zc45JBD0u11tYceeijtN3To0HR77NixNc55xx13pPsBAAAaXHCaMGFCnH322fHwww/H22+/vcbxHXbYIW6++eYa+2666aZ0/6puv/32NFCt2l5//fXo1atX7LffftG7d+/qvq1atYrLLrss3n///U0ZMgAAQP0Fp48++ihuueWWGD58eDrjNHny5DX6nHrqqTFp0qQa+5LtZP+qttpqq+jYsWONdskll8R//vOfmD59ehqWqvTt2zc9Xl5evrFDBgAAqN/gNG3atOjRo0d07949TjrppJg4cWLkcrkafY4++uh0Zmj27NnpdvIz2T7qqKPWe+7f/OY36UzVbbfdFjvuuGONY8nyv0svvTSuu+66ePPNNzd4vJWVlVFRUVGjAQAA1GlwSpbpJYEp0b9//1i6dGn1vUhVNttss+pQlUh+JtvJ/nVJlv2NHDkybrjhhvjqV7+61j7HHntsfOlLX4rRo0dv8HiTGaqSkpLqVlpausHvBQAA2OjgNH/+/Hj88cfj+OOPT7eTYg9DhgxJw9TqTjvttLj11ltjyZIl6c9ke13eeOON+M53vhNnnnlmnH766esdQ3KfU3K/1Lx58zZozGVlZWm4q2qLFi3aoPcBAABsUnBKAtKKFSuiU6dOaWhK2vjx49OldUkoWdWee+6ZLulLQtbuu++eFnxYm08//TSdSerZs2dce+21mWP4xje+Ef369UsD0YYoKiqK4uLiGg0AAGBjFG5oxyQwJfcfXXXVVXHEEUfUODZw4MCYMmVKunRvVcks0w9+8IM0XK1LMsP03//+N2bOnJkGsQ2RlCVPluwl91kBAAA0mOA0Y8aMtMDDsGHD0nuFVjVo0KB0Nmr14HTGGWfE4MGDo3379ms95xVXXJEu47v77rvTYJYs61tV8jlbbLHFGu9LZrNOPPHEGDdu3IYOHwAAoO6X6iXBKCkJvnpoqgpOTz755BoV65IZpA4dOqxzJimpord8+fI0cG2//fZrtKTs+bpcfPHFsXLlyg0dPgAAwCYryK1eS7yJS8JdWl1v5LRoUdQ638MBqDcLxw7I9xAAoEFmg6ReQ1YthI0uRw4AANDcbPA9Tk3N3Iv6qbAHAABsEDNOAAAAGQQnAACADIITAABABsEJAAAgg+AEAACQQXACAADIIDgBAABkEJwAAAAyCE4AAAAZBCcAAIAMghMAAEAGwQkAACCD4AQAAJBBcAIAAMhQGM1Ur9Ezo0VR63wPAwAA1mrh2AH5HgKrMOMEAACQQXACAADIIDgBAADUdXAaOnRoFBQUxFlnnbXGsREjRqTHkj6Jf//73zF8+PDYaaedoqioKDp27Bj9+vWLRx99tPo9Xbp0Sd+zattxxx1jzJgxa+xfvQEAADTY4hClpaUxderUuOaaa2KLLbZI93322Wfxxz/+MQ1JVQYNGhTLli2Lm266KXbZZZd455134sEHH4z33nuvxvkuvvjiOOOMM6q3W7ZsmZ531XC2//77x5lnnlmjHwAAQIMNTvvuu2+8+uqrcfvtt8eJJ56Y7kteJ6Fp5513Trc/+OCDeOSRR2LWrFlx8MEHp/s6d+4cBxxwwBrna9euXTobtbq2bdvWCFPr6gcAANAg73E67bTTYtKkSdXbEydOjO9973s1Qk/S7rjjjqisrIz6knxWRUVFjQYAAJCX4HTSSSfF7Nmz4/XXX09bct9Ssq9KYWFhTJ48OV2m1759+zjooIPiggsuiOeee26Nc51//vnVQStp48aN2+RxlZeXR0lJSXVLlhUCAADkJThts802MWDAgDQcJTNPyesOHTrU6JPc4/T222/HXXfdFf3790+X7SXL/JL3rOrHP/5xPPPMM9XtlFNO2eRxlZWVxdKlS6vbokWLNvlcAABA81Qr9zitulzvhz/8Yfr6hhtuWGufVq1axeGHH562n//853H66afH6NGjqyvvJZLA1bVr11oZU1K9L2kAAAAN4jlOySxSUjVv+fLlaZnxDbHHHnvExx9/XJvDAAAAaLgzTkmlu3nz5lW/XlVScnzw4MHprNRee+2VVsR78skn4/LLL49jjjmmNocBAADQcINTori4eK37kyIPvXv3Tp/1lJQuT2alkkINyXOYkiIRAAAADVVBLpfLRTOSlCNPq+uNnBYtilrnezgAALBWC8cOyPcQmk02WLp06TongOrkHicAAICmqNaX6jUWcy/ql5kqAQAAEmacAAAAMghOAAAAGQQnAACADIITAABABsEJAAAgQ7Orqlf12KqkZjsAANB8Vfx/mWBDHm3b7ILTe++9l/4sLS3N91AAAIAG4MMPP0wfhLs+zS44bbXVVunPN954I/N/DuTzXz+ScL9o0SLPG6PBcp3SGLhOaQxcp/mTzDQloalTp06ZfZtdcGrR4v/d1pWEJhcmDV1yjbpOaehcpzQGrlMaA9dpfmzoZIriEAAAABkEJwAAgAzNLjgVFRXF6NGj05/QULlOaQxcpzQGrlMaA9dp41CQ25DaewAAAM1Ys5txAgAA2FiCEwAAQAbBCQAAIIPgBAAAkEFwAgAAaA7B6YYbboguXbpEq1atonfv3vH444+vt/+tt94aPXr0SPvvueeece+999Y4nhQa/MUvfhHbb799bLHFFtG3b9945ZVX6vhb0NTV9nU6dOjQKCgoqNH69+9fx9+Cpm5jrtMXXnghBg0alPZPrr9rr732C58T8nGdjhkzZo0/T5M/f6G+rtP//d//ja9//eux5ZZbpi353XP1/n4/zb9GH5xuueWWOPfcc9Pa90899VTsvffe0a9fv3j33XfX2v+xxx6L448/PoYNGxZPP/10DBw4MG1z586t7nP55ZfHuHHj4sYbb4x//OMf0aZNm/Scn332WT1+M5qSurhOE0lQWrx4cXWbMmVKPX0jmqKNvU4/+eST2GWXXWLs2LHRsWPHWjkn5OM6TfTs2bPGn6ezZ8+uw29BU7ex1+msWbPSv/f/9re/xZw5c6K0tDSOOOKIeOutt6r7+P20Acg1cgcccEBuxIgR1duff/55rlOnTrny8vK19v/ud7+bGzBgQI19vXv3zn3/+99PX69cuTLXsWPH3BVXXFF9/IMPPsgVFRXlpkyZUmffg6attq/TxKmnnpo75phj6nDUNDcbe52uqnPnzrlrrrmmVs8J9XWdjh49Orf33nvX+lhpvr7on30rVqzItWvXLnfTTTel234/bRga9YzTsmXL4p///Gc6VVmlRYsW6XaS1tcm2b9q/0SS1qv6v/baa7FkyZIafUpKStIp1nWdE+r7Ol31X6i23Xbb6N69ewwfPjzee++9OvoWNHWbcp3m45w0b3V5TSVLnjp16pTOTp144onxxhtv1MKIaY5q4zpNZkqXL18eW221Vbrt99OGoVEHp//85z/x+eefx3bbbVdjf7KdXFxrk+xfX/+qnxtzTqjv67Rqmd7NN98cDz74YFx22WXx0EMPxZFHHpl+FtTHdZqPc9K81dU1lfzyOXny5Ljvvvti/Pjx6S+pyf0mH374YS2MmuamNq7T888/Pw3yVUHJ76cNQ2G+BwBsmuOOO676dVI8Yq+99opdd901nYU67LDD8jo2gMYk+UenKsmfpUmQ6ty5c0ybNi291xTqU3I/3tSpU9O/z5PCEjQcjXrGqUOHDtGyZct45513auxPttd1A2iyf339q35uzDmhvq/TtUmWlySftWDBgloaOc3Jplyn+TgnzVt9XVPt27ePbt26+fOUer9Or7zyyjQ43X///WmIr+L304ahUQenzTffPL785S+nS5WqrFy5Mt3+yle+stb3JPtX7Z/4y1/+Ut1/5513Ti/AVftUVFSk1UvWdU6o7+t0bd588830HqekTCnUx3Waj3PSvNXXNfXRRx/Fq6++6s9T6vU6TarmXXLJJemS0f3226/GMb+fNhC5Rm7q1KlpRZHJkyfnXnzxxdyZZ56Za9++fW7JkiXp8ZNPPjn305/+tLr/o48+missLMxdeeWVuXnz5qWVdDbbbLPc888/X91n7Nix6TnuvPPO3HPPPZdWLtt5551zn376aV6+I41fbV+nH374Ye68887LzZkzJ/faa6/lHnjggdy+++6b22233XKfffZZ3r4nzes6rayszD399NNp23777dNrMnn9yiuvbPA5oSFcp6NGjcrNmjUr/fM0+fO3b9++uQ4dOuTefffdvHxHmt91mvzuufnmm+f+9Kc/5RYvXlzdkr/vV+3j99P8avTBKXHdddfldtppp/SCS8o//v3vf68+dvDBB6dlm1c1bdq0XLdu3dL+PXv2zN1zzz01jiclH3/+85/ntttuu/SiP+yww3Lz58+vt+9D01Sb1+knn3ySO+KII3LbbLNNGqiSErtnnHGGX0ap1+s0+SUz+fe31VvSb0PPCQ3hOh0yZEgaqpLz7bDDDun2ggUL6v170Xyv0+Tv8bVdp8k/nFbx+2n+FST/yfesFwAAQEPWqO9xAgAAqA+CEwAAQAbBCQAAIIPgBAAAkEFwAgAAyCA4AQAAZBCcAAAAMghOAAAAGQQnAACADIITAABABsEJAAAg1u//AhDsOp2nsha4AAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 1000x600 with 1 Axes>"
-      ],
-      "image/png": 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HHvHCCy/EjBkz4vjjj8+WpccpgG233XbZ87feeiseeOCBmD17duy///7Zsm222Sb22muvlfbXpUuXbJRsRZ07d64XzFa3HQAAQNFOR6x18sknx5QpU+qeT548Ob785S/XC1Cp3XbbbVFTU5Nr39L7VVdX12sAAACtOoSdcMIJ8eCDD8a//vWvrKXrvNKyWqWlpTF16tRsKmLXrl1j3333jfPOOy+efPLJlfZ17rnn1oW21K6++ur16ltVVVVUVFTUtTR9EgAAoFWHsE033TQGDx6cBa00IpYed+vWrd426Zqwl19+OW6//fYYNGhQNjUxTWVMr1neN77xjXj88cfr2kknnbRefRszZkwsWrSors2fP3+99gcAALQtLe6asOWnJH7ta1/LHl933XWr3KZDhw5x8MEHZ+073/lOnHLKKTF27Ni6CopJCm89e/ZstH6lSoypAQAAFM1IWJJGt1L1wyVLlmSl5xti5513jnfffbfJ+wYAAFB0I2GpYuGcOXPqHi8vlaEfOnRoNlr28Y9/PKts+Nhjj8Vll10WRxxxRDP1GAAAoBWHsKS8vHyVy1OBjb333ju7l1gqZ59Gy1KBjHSfr1SgAwAAoKUqKRQKhebuRGuWStRnVRJHTY92ZR2buzsA0CzmjR/syANtXvX/skEq4Le6AaUWfU0YAABAMWrR0xFbk6cvHLjGtAsAAJAYCQMAAMiREAYAAJAjIQwAACBHQhgAAECOhDAAAIAcCWEAAAA5EsIAAAByJIQBAADkSAgDAADIkRAGAACQIyEMAAAgR0IYAABAjoQwAACAHAlhAAAAOSrN882KWb+xs6JdWcfm7gYAkIN54wc7zsA6MxIGAACQIyEMAAAgR0IYAABAjooqhA0fPjxKSkri9NNPX2ndGWecka1L2yzv4Ycfjvbt28fgweZ2AwAATa+oQlhSWVkZ06ZNi/fff79u2QcffBC//OUvY+utt15p+0mTJsWZZ54Z999/f7z88ss59xYAAGhrii6E7bHHHlkQmzFjRt2y9DgFsN13373etu+8807cdNNNMXLkyGwkbOrUqc3QYwAAoC0puhCWnHzyyTFlypS655MnT44vf/nLK203ffr06NOnT/Tu3TtOOOGEbLtCobDGfdfU1ER1dXW9BgAA0KZDWApUDz74YPzrX//K2kMPPZQtW9VUxNrlgwYNikWLFsV99923xn1XVVVFRUVFXUujbgAAAG06hG266aZ10wvTiFh63K1bt3rbzJ07Nx555JE49thjs+elpaVx9NFHZ8FsTcaMGZOFtdo2f/78Jv0sAABAcSmNIpWmJH7ta1/LHl933XUrrU9ha+nSpdGjR4+6ZWkqYllZWVx77bXZKNeqpPWpAQAArIuiHAmrnV64ePHiWLJkSQwcOLDeuhS+brjhhrjyyivj8ccfr2tPPPFEFspuvPHGZus3AABQ3Ip2JCzd+2vOnDl1j5c3c+bMePPNN2PEiBErjXgNGTIkGyVb1b3GAAAA1lfRjoQl5eXlWVtRClkDBgxY5ZTDFMIee+yxePLJJ3PqJQAA0JYU1UjYR93n67bbbvvIfey1114fWaYeAABgXRVVCGtOT184cJWjbgAAAG1mOiIAAEBLI4QBAADkSAgDAADIkRAGAACQIyEMAAAgR0IYAABAjoQwAACAHAlhAAAAORLCAAAAciSEAQAA5EgIAwAAyJEQBgAAkCMhDAAAIEdCGAAAQI6EMAAAgByV5vlmxazf2FnRrqxjc3cDAFq1eeMHN3cXAJqckTAAAIAcCWEAAAA5EsIAAABy1GpD2PDhw+PII49cafkBBxwQo0aNWmn51KlTo2vXrtnjM888M3baaadV7vell16K9u3bx+23394EvQYAANq6VhvC1seIESPi2WefjT/+8Y+rDGubbbZZfO5zn2uWvgEAAMWtTYaw3XbbLfbYY4+YPHlyveWFQiELYcOGDYvS0lUXjqypqYnq6up6DQAAoKHaZAirHQ2bPn16vPvuu3XLZs+eHS+++GKcfPLJq31dVVVVVFRU1LXKysqcegwAABSDNhvCjjvuuFiyZEncfPPNdcumTJkSn/nMZ6JXr16rfd2YMWNi0aJFdW3+/Pk59RgAACgGbTaEpSIdX/jCF+qmJKZphbfccks2QrYmZWVlUV5eXq8BAAA01KovfGrFUihKI1Qreuutt7Lpg8tLgeuggw6K559/Pv7whz9kVRGHDh2aY28BAIC2puhCWO/evePuu+9eaflf//rXlaYZ9u/fP7bbbrtsGmIKYcccc0x06tQpx94CAABtTasOYWnE6/HHH6+37POf/3xce+218fWvfz1OOeWUbPrgnXfeGTfeeGPccccd9bYtKSnJinB8//vfjzfffDOuuuqqnD8BAADQ1rTqEJaqGe6+++4rTTG8//774/zzz48BAwbE4sWLo0+fPlkBjkGDBq3yps9jx46Nvn37xt57751j7wEAgLaopJBujsU6SwU9slL1o6ZHu7KOjiQArId54wc7fkCrzwZpxt6aCvi16pGwluTpCweqlAgAAHykNluiHgAAoDkIYQAAADkSwgAAAFpqCFu6dGmMGzcuFixY0HQ9AgAAKGJrFcJKS0vj8ssvz8IYAAAAOUxHPPDAA+O+++5bh7cCAABgrUvUH3roofGtb30rnnrqqfjEJz4RnTp1qrf+8MMPd1QBAAAa62bN7dqtfvCspKQkPvzww2hLGnpDNgAAoLg12c2aly1btr59AwAAaLPWq0T9Bx980Hg9AQAAaAPWOoSl6YYXXXRRbLnlltG5c+f45z//mS3/zne+E5MmTWqKPgIAALTdEHbxxRfH1KlT47LLLosNN9ywbnm/fv3iZz/7WWP3DwAAoG2HsBtuuCF+8pOfxPHHHx/t27evW77rrrvGs88+29j9AwAAaNsh7N///nf07NlzlQU7lixZ0lj9AgAAKEprHcJ23nnneOCBB1Za/qtf/Sp23333xuoXAABAUVrrEvXf/e53Y9iwYdmIWBr9mjFjRsydOzebpjhz5sxoq/qNnRXtyjo2dzeARjRv/GDHEwBo/pGwI444Iu6444645557olOnTlkomzNnTrbs4IMPbvweAgAAtOWRsAULFsRnP/vZ+N3vfrfSuj/96U+xzz77NFbfAAAAis5aj4Qdcsgh8cYbb6y0/KGHHopBgwZFSzB8+PA48sgjV7pmrUOHDnHllVfG+++/H2PHjo1evXpFWVlZdOvWLYYOHRrPPPNMs/UZAABoG9Y6hKWRrhTE3n777bpl999/f3zuc5/Lgk1LlO5flkrqT5w4Mb72ta/FgAEDYvLkyfG9730v/vGPf8RvfvObWLp0aey9997ZaB4AAECLCWEp0Gy99dZx2GGHRU1NTfzhD3+IwYMHx7hx4+L//b//Fy1Nuqn0mWeeGdOmTYsvf/nLMWHChHj44YezIiJf+tKXYptttom99torbrnllthpp51ixIgRUSgUmrvbAABAkVrrENauXbss0GywwQZx4IEHxuGHHx5VVVVx1llnRUtz7rnnxkUXXZQFrqOOOipb9stf/jIrIJJuLr3i50oh8u9//3s88cQTq91nCp7V1dX1GgAAQKMW5njyySdXWnbBBRfEscceGyeccELst99+ddt8/OMfj5bgt7/9bfz617+Oe++9NwuLtdL0w/79+6/yNWkkrHab3XbbbZXbpMB54YUXNlGvAQCAYtegEJYCSUlJSb1perXPf/zjH8dPfvKT7HFa9uGHH0ZLkMLgf//73+w6tTTdsHPnznXr1me64ZgxY+Lss8+ue55GwiorK9e7vwAAQNvQoBD24osvRmuz5ZZbZhUR06hXqtqYRsa6dOmSVURM9zVbldrlaZvVSdUUUwMAAGiyEJaKV7RGqd/33XdfXRC766674phjjonzzz8/u+5r+evCli1bFldddVXsvPPOK10vBgAA0GyFOdI1Uam8+4rSsksvvTRamjRVcPbs2fHaa6/FwIED44wzzsimJ6bqjjfffHO89NJL8eijj8aQIUOykbBJkyZl0yoBAABaRAhL14D16dNnpeV9+/aNH/3oR9ESbbXVVlkQS9eIpSB29913x0knnRTnnXde9OzZMxsla9++fXaPsHQfNAAAgKZSUljLKhUdOnTIRoy22267esv/+c9/ZlP5Pvjgg2hLUmGOioqKqBw1PdqVdWzu7gCNaN74wY4nALDW2WDRokVRXl7eeCNhaXrfQw89tNLytKxHjx5ruzsAAIA2pUGFOZZ36qmnxqhRo2LJkiV1999K9+L65je/GaNHj4626ukLB64x7QIAAKxTCPvGN74Rr7/+enz1q1+NxYsX101RPPfcc7N7aAEAANCI14TVeuedd7JrwzbaaKPYcccd2+y9sxo67xMAAChuDc0Gaz0SVqtz586x5557ruvLAQAA2qQGhbAvfOELMXXq1CzNpcdrMmPGjMbqGwAAQNsMYWlIrfYGxukxAAAATXxN2Lhx4+Kcc86Jjh3dC2t5rgkDAACa5D5hF154YVaMAwAAgHXX4BC2jkUUAQAAWJcQltReFwYAAMC6WasS9b169frIIPbGG2+sY1cAAACK31qFsHRdmOqIAAAAOYWwY445JjbbbLP1eDsAAIC2rcHXhLkeDAAAYP2pjggAANASpyMuW7asaXvSyvUbOyvalbmRNQDQvOaNH+wUQDGVqAcAAGD9CGEAAAA5EsIAAABy1OpD2PDhw+PII4+se5yqOKa24YYbRs+ePWPcuHGxdOnSbP3s2bOzdRtvvHF88MEH9fbz6KOP1r0WAACgqbT6ELaiQYMGxSuvvBLPPfdcjB49Oi644IK4/PLL623TpUuXuPXWW+stmzRpUmy99dY59xYAAGhrii6ElZWVRffu3WObbbaJkSNHxoABA+L222+vt82wYcNi8uTJdc/ff//9mDZtWrYcAACgKRVdCFvRRhttFIsXL6637MQTT4wHHnggXnrppez5LbfcEttuu23sscceH7m/mpqaqK6urtcAAACirYewQqEQ99xzT8yaNSsOPPDAeus222yzOPTQQ2Pq1KnZ8zQqdvLJJzdov1VVVVFRUVHXKisrm6T/AABAcSq6EDZz5szo3LlzdOjQIQtaRx99dHZd2IpS6Eoh7J///Gc8/PDDcfzxxzdo/2PGjIlFixbVtfnz5zfBpwAAAIpVaRSZ/v37x8SJE7PqiD169IjS0lV/xBTQTjvttBgxYkQcdthh8bGPfazB15ylBgAAsC6KLoR16tQpK03/UVI4O+mkk+Kyyy6L3/72t7n0DQAAoOimI66Niy66KP7zn//EwIEDm7srAABAG9HqR8KWLVu22imHHyVNWezWrVuj9wkAAKBoQ9hrr71WN/2wttrh6hxwwAFZ1cTVOfLII9e4HgAAoM1OR3zzzTezSoizZ8/ObsgMAADQGrTakbBUYv7RRx+N0aNHxxFHHNHc3YmnLxwY5eXlzd0NAACghWu1IezWW29t7i4AAAC0nemIAAAArZEQBgAAkCMhDAAAIEdCGAAAQI6EMAAAgBwJYQAAADkSwgAAAHIkhAEAAORICAMAAMiREAYAAJAjIQwAACBHQhgAAECOhDAAAIAcleb5ZsWs39hZ0a6sY3N3AwBoJPPGD3YsgSZhJAwAACBHQhgAAECOhDAAAIActfgQtnDhwjjrrLOiZ8+e0aFDh9h8881j3333jYkTJ8Z7772XbbPtttvGhAkT6l6z4vPlzZs3L0pKSupaly5dom/fvnHGGWfEc889l9vnAgAA2qYWXZjjn//8Zxa4unbtGpdccknssssuUVZWFk899VT85Cc/iS233DIOP/zwddr3Pffck4WvFOTS/n7wgx/ErrvuGnfccUccdNBBjf5ZAAAAWnwI++pXvxqlpaXx2GOPRadOneqWb7/99nHEEUdEoVBY531/7GMfi+7du9ft77DDDsvC14gRI+KFF16I9u3bN8pnAAAAaBXTEV9//fW4++67s2mCywew5aXphI2lXbt22bTHf/3rX/GXv/xltdvV1NREdXV1vQYAANDqQ9jzzz+fjXT17t273vJu3bpF586ds3buuec26nv26dOn7rqx1amqqoqKioq6VllZ2ah9AAAAiluLDWGr88gjj8Tjjz+eXc+VRqUaU+30xjWNsI0ZMyYWLVpU1+bPn9+ofQAAAIpbi70mLFVDTGFo7ty59Zan67eSjTbaqNHfc86cOdnP7bbbbrXbpMIgqQEAABTVSFgqnHHwwQfHtddeG++++26Tv9+yZcvi6quvzgLY7rvv3uTvBwAAtE0tdiQs+eEPf5iVqP/kJz8ZF1xwQXz84x/PCmg8+uij8eyzz8YnPvGJ1b723//+dzZtcXnbbLNNvcIf6R5kqUT9008/nd1XLE11vPPOO1VGBAAA2mYI22GHHeJvf/tbdo+wdC3WggULsqmAO++8c5xzzjlZCfvVueKKK7K2vJ///Ofxmc98Jns8YMCA7GfHjh2zcNa/f//s3mNpGiQAAEBTKSmsz822yErUZ1USR02PdmUdHREAKBLzxg9u7i4ArTQbpAJ+5eXlre+aMAAAgGLUoqcjtiZPXzhwjWkXAAAgMRIGAACQIyEMAAAgR0IYAABAjoQwAACAHAlhAAAAORLCAAAAciSEAQAA5EgIAwAAyJEQBgAAkCMhDAAAIEdCGAAAQI6EMAAAgBwJYQAAADkSwgAAAHJUmuebFbN+Y2dFu7KOzd0NAKCRzBs/2LEEmoSRMAAAgBwJYQAAADkSwgAAAHLU5kPY8OHDo6SkZKX2/PPP53keAACANkJhjogYNGhQTJkypd6B2XTTTZvrnAAAAEVMCIuIsrKy6N69e3OfCwAAoA0QwtZSTU1N1mpVV1c39jkBAACKWJu/JiyZOXNmdO7cua4NHTp0tQesqqoqKioq6lplZWWOpwsAAGjtjIRFRP/+/WPixIl1B6VTp06rPWBjxoyJs88+u95ImCAGAAA0lBD2v9DVs2fPBl8/lhoAAMC6MB0RAAAgR0IYAABAjoQwAACAHLX5a8KmTp2a5/EGAADauDYfwhrL0xcOjPLy8kbbHwAAUJxMRwQAAMiREAYAAJAjIQwAACBHQhgAAECOhDAAAIAcCWEAAAA5EsIAAAByJIQBAADkSAgDAADIkRAGAACQIyEMAAAgR0IYAABAjoQwAACAHAlhAAAAORLCAAAAclSa55sVs35jZ0W7so7N3Q0AaLB54wc7WgDNwEgYAABAjoQwAACAHAlhAAAAOSqKEDZ8+PAoKSnJ2gYbbBCbb755HHzwwTF58uRYtmxZ3XbbbrttTJgwoe75E088EYcffnhsttlm0aFDh2z90UcfHa+99lozfRIAAKDYFUUISwYNGhSvvPJKzJs3L377299G//7946yzzorPf/7zsXTp0pW2/89//hMHHXRQbLLJJjFr1qyYM2dOTJkyJXr06BHvvvtus3wGAACg+BVNdcSysrLo3r179njLLbeMPfbYI/bZZ58saE2dOjVOOeWUets/9NBDsWjRovjZz34WpaX/dxi22267LLytSU1NTdZqVVdXN8nnAQAAilPRjIStyoEHHhi77rprzJgxY6V1KbClEbJbb701CoVCg/dZVVUVFRUVda2ysrKRew0AABSzog5hSZ8+fbIpiitKo2TnnXdeHHfccdGtW7c49NBD4/LLL49XX311jfsbM2ZMNoJW2+bPn9+EvQcAAIpN0YewNMqVCnasysUXXxwLFy6MH/3oR9G3b9/sZwptTz311BqnPZaXl9drAAAADVX0ISwV3EjXeq3Oxz72sRg6dGhcccUV2bapMEd6DAAA0BSKOoT9/ve/z0a1hgwZ0qDtN9xww9hhhx1URwQAAJpM0VRHTBUL09TCDz/8MLuu66677sqKaKQS9SeddNJK28+cOTOmTZsWxxxzTPTq1SubtnjHHXfEb37zm6xUPQAAQFMomhCWQtcWW2yRlZvfeOONs6qIV199dQwbNizatVt5wG/nnXeOjh07xujRo7PiGularx133DErWX/iiSc2y2cAAACKX0lhbeqzs5J0n7CsVP2o6dGurKMjBECrMW/84ObuAkBRZoNURX1NBfyKZiSsuT194UCVEgEAgLZdmAMAAKClEcIAAAByJIQBAADkSAgDAADIkRAGAACQIyEMAAAgR0IYAABAjoQwAACAHAlhAAAAORLCAAAAciSEAQAA5EgIAwAAyJEQBgAAkCMhDAAAIEdCGAAAQI5K83yzYtZv7KxoV9axubsBQAPNGz/YsQKgWRgJAwAAyJEQBgAA0JZD2MKFC+PMM8+M7bffPsrKyqKysjIOO+ywuPfee+u2+eMf/xif+9znYuONN44OHTrELrvsEt///vfjww8/rLev++67Lw488MDYZJNNomPHjrHjjjvGsGHDYvHixTF8+PAoKSlZbdt2222b4dMDAADFrkWFsHnz5sUnPvGJ+P3vfx+XX355PPXUU3HXXXdF//7944wzzsi2ufXWW2P//fePrbbaKv7whz/Es88+G2eddVZ873vfi2OOOSYKhUK23d///vcYNGhQfPKTn4z7778/29c111wTG264YRbWfvCDH8Qrr7xS15IpU6bUPX/00Ueb9VgAAADFqaRQm1pagDS69eSTT8bcuXOjU6dO9da99dZbscEGG8Q222yThbBbbrml3vo77rgjDj/88Jg2bVocffTRMWHChCxovfjiiw167zT6lQLekUceuVZ9rq6ujoqKiqgcNV1hDoBWRGEOABpbbTZYtGhRlJeXt/yRsDfeeCMb9UojXisGsKRr165x9913x+uvvx7nnHPOSuvTlMVevXrFjTfemD3v3r17NqKVRsEaU01NTXZwl28AAAAN1WJC2PPPP59NJezTp89qt/nHP/6R/dxpp51WuT69tnaboUOHxrHHHpuNmm2xxRZx1FFHxbXXXrveoamqqipLt7UtXbMGAADQ6kLY2syKbMi27du3z67xWrBgQVx22WWx5ZZbxiWXXBJ9+/atuwZsXYwZMyYbXqxt8+fPX+d9AQAAbU+LCWGpcmG6LisV2lidNN0wmTNnzirXp+W129RK4evEE0/MRsGeeeaZ+OCDD+JHP/rROvczVWxM8zuXbwAAAK0uhKUy8gMHDozrrrsu3n333ZXWp8IchxxySLbdlVdeudL622+/PZ577rlsCuLqpJL2aWriqvYPAADQpkJYkgJYKh+/1157ZdUPU6hKo1tXX311fOpTn8oKdvz4xz+OX//613HaaadllRRTWftJkyZl9/364he/GF/60peyfaXtRo4cmRXzeOGFF7JRsHPPPTf7mYp4AAAANIfSaEHSDZr/+te/xsUXXxyjR4/Ort3adNNNs3uHTZw4MdsmBa10f7C0zWc/+9lsemGaynj++efHqFGjsimNSQpyDz74YJx++unx8ssvR+fOnbPrwW677basWAcAAEC09fuEtUbuEwbQOrlPGADR1u8TBgAA0Ba0qOmIrdnTFw5UKREAAPhIRsIAAAByJIQBAADkSAgDAADIkRAGAACQIyEMAAAgR0IYAABAjoQwAACAHAlhAAAAORLCAAAAciSEAQAA5EgIAwAAyJEQBgAAkCMhDAAAIEdCGAAAQI5K83yzYtZv7KxoV9axubsBAABtxrzxg6M1MhIGAACQIyEMAAAgR0IYAABAWwthDz/8cLRv3z4GD64/p3PevHlRUlKSrfv3v/9db90rr7wSpaWl2fq0XXLAAQdkz1fX7rvvvmy74cOHZ8/Hjx9fb5+33XZbthwAAKCoQ9ikSZPizDPPjPvvvz9efvnlldZvueWWccMNN9Rbdv3112fLlzdjxowsnC3f/vWvf0W/fv3ik5/8ZOy9995123bo0CEuvfTSePPNN5vwkwEAALSwEPbOO+/ETTfdFCNHjsxGwqZOnbrSNsOGDYspU6bUW5aep+XL22STTaJ79+712kUXXRT//e9/49Zbb82CV60BAwZk66uqqprw0wEAALSwEDZ9+vTo06dP9O7dO0444YSYPHlyFAqFetscfvjh2YjVgw8+mD1PP9Pzww47bI37/uEPf5iNoN1yyy2x1VZb1VuXpjhecsklcc0118SCBQsa3N+ampqorq6u1wAAAFpNCEtTEVP4SgYNGhSLFi2qu3ar1gYbbFAX0JL0Mz1Py1cnTW0cNWpUXHfddfHpT396ldscddRRsdtuu8XYsWMb3N80clZRUVHXKisrG/xaAACAZg1hc+fOjUceeSSOPfbY7HkqtHH00UdnwWxFJ598ctx8882xcOHC7Gd6vjovvfRSfPGLX4zTTjstTjnllDX2IV0Xlq4vmzNnToP6PGbMmCwo1rb58+c36HUAAADNHsJS2Fq6dGn06NEjC2CpTZw4MZs+mALO8nbZZZds2mIKbDvttFNWbGNV3n///WyEq2/fvjFhwoSP7MN+++0XAwcOzMJVQ5SVlUV5eXm9BgAA0FCl0UxS+ErXa1155ZVxyCGH1Ft35JFHxo033phNT1xeGv366le/mgW11UkjX2+88UbMmjUrC3UNkUrVp2mJ6bo0AACAogxhM2fOzIprjBgxIru2anlDhgzJRslWDGGnnnpqDB06NLp27brKfV5++eXZVMU77rgjC3lp6uLy0vtstNFGK70ujbIdf/zxcfXVVzfKZwMAAGhx0xFTyEpl4lcMYLUh7LHHHlup8mAa2erWrdtqR7hSNcQlS5Zk4W2LLbZYqaVS+Kszbty4WLZsWSN8MgAAgNUrKaxYD561koJiViVx1PRoV9bR0QMAgJzMGz+4RWaDVN9iTbUjmr1EPQAAQFvSbNeEFZunLxyoUiIAAPCRjIQBAADkSAgDAADIkRAGAACQIyEMAAAgR0IYAABAjoQwAACAHAlhAAAAORLCAAAAciSEAQAA5EgIAwAAyJEQBgAAkCMhDAAAIEdCGAAAQI6EMAAAgByV5vlmxazf2FnRrqxjc3cDADLzxg92JABaKCNhAAAAORLCAAAAciSEAQAA5KhVhrCHH3442rdvH4MHrzzfffHixXHZZZfFrrvuGh07doxu3brFvvvuG1OmTIklS5Zk2wwfPjxKSkpi/Pjx9V572223ZcsBAACaSqsMYZMmTYozzzwz7r///nj55ZfrBbCBAwdm4eq0006LP/7xj/HII4/EGWecEddcc00888wzddt26NAhLr300njzzTeb6VMAAABtUaurjvjOO+/ETTfdFI899lgsXLgwpk6dGuedd162bsKECVkwS+t23333utdsv/32MXTo0Cyk1RowYEA8//zzUVVVlY2cAQAA5KHVjYRNnz49+vTpE717944TTjghJk+eHIVCIVv3i1/8IgtXywewWhtssEF06tSp7nmaznjJJZdkI2QLFixo8PvX1NREdXV1vQYAAFC0ISxNRUzhKxk0aFAsWrQo7rvvvuz5c889lwW0hjrqqKNit912i7Fjxzb4NWnkrKKioq5VVlauw6cAAADaqlYVwubOnZtd43Xsscdmz0tLS+Poo4/OgllSOyK2NtJ1Yddff33MmTOnQduPGTMmC361bf78+Wv9ngAAQNvVqq4JS2Fr6dKl0aNHj7plKXiVlZXFtddeG7169Ypnn312rfa53377ZcU8UrhKVRM/Snqv1AAAAIo6hKXwdcMNN8SVV14ZhxxySL11Rx55ZNx4441x3HHHZUU6/va3v610XVgqT58Kcyx/XVitVE0xTUtM15kBAAA0pVYTwmbOnJmVkx8xYkR2LdbyhgwZko2SPfjgg3HnnXfGQQcdFBdddFF85jOfiS5dumTVEtO0w7RNClsr2mWXXeL444+Pq6++OsdPBAAAtEWt5pqwFKBS5cMVA1htCEtBK10z9rvf/S6++c1vxo9//OPYZ599Ys8998zC1de//vXo16/favc/bty4WLZsWRN/CgAAoK0rKaxLNQvqpBL1WZXEUdOjXVlHRwaAFmHe+MHN3QWANpsNFi1aFOXl5a1/JAwAAKAYtJprwlq6py8cuMa0CwAAkBgJAwAAyJEQBgAAkCMhDAAAIEdCGAAAQI6EMAAAgBypjrieam+zlu4JAAAAtF3V/8sEH3UrZiFsPb3++uvZz8rKyvXdFQAAUATefvvt7KbNqyOEradNNtkk+/nSSy+t8UDTfP8akQLy/Pnz3cethXKOWj7nqGVzflo+56jlc45atupW9PdcGgFLAaxHjx5r3E4IW0/t2v3fZXUpgLX0/1O0ZencOD8tm3PU8jlHLZvz0/I5Ry2fc9SylbeSv+caMjCjMAcAAECOhDAAAIAcCWHrqaysLMaOHZv9pOVxflo+56jlc45aNuen5XOOWj7nqGUrK8K/t0sKH1U/EQAAgEZjJAwAACBHQhgAAECOhDAAAIAcCWEAAAA5EsIAAAByJISt4Lrrrottt902OnToEHvvvXc88sgjazyAN998c/Tp0yfbfpdddonf/OY39dan4pPf/e53Y4sttoiNNtooBgwYEM8991zjn8k2pLHP0fDhw6OkpKReGzRoUBN/iuK1NufnmWeeiSFDhmTbp+M+YcKE9d4n+Z+jCy64YKXvUPrOkc85+ulPfxqf/exnY+ONN85a+j2z4vZ+F7X8c+R3UfOdnxkzZsQnP/nJ6Nq1a3Tq1Cl22223+PnPf15vG9+hln+Ohre2v+dSiXr+z7Rp0wobbrhhYfLkyYVnnnmmcOqppxa6du1aePXVV1d5iB566KFC+/btC5dddlnh73//e+Hb3/52YYMNNig89dRTdduMHz++UFFRUbjtttsKTzzxROHwww8vbLfddoX333/fYW8h52jYsGGFQYMGFV555ZW69sYbbzg/OZyfRx55pHDOOecUbrzxxkL37t0LV1111Xrvk/zP0dixYwt9+/at9x36z3/+41TkdI6OO+64wnXXXVf429/+VpgzZ05h+PDh2e+dBQsW1G3jd1HLP0d+FzXf+fnDH/5QmDFjRvZ3wvPPP1+YMGFC9rfDXXfdVbeN71DLP0fDWtnfc0LYcvbaa6/CGWecUff8ww8/LPTo0aNQVVW1yoP3pS99qTB48OB6y/bee+/CV77ylezxsmXLsj9aLr/88rr1b731VqGsrCz7g4bmP0e1X9ojjjjC6WiG87O8bbbZZpV/4K/PPsnnHKUQtuuuuzrcjWR9/z+/dOnSQpcuXQrXX3999tzvopZ/jhK/i1rO+Ul233337B9uE9+hln+OWuN3yHTE/1m8eHH85S9/yaYI1GrXrl32/OGHH17lKGJavvz2ycCBA+u2f/HFF2PhwoX1tqmoqMiGXFe3T/I9R7Vmz54dm222WfTu3TtGjhwZr7/+ulORw/lpjn22ZU15PNM06x49esT2228fxx9/fLz00kuN0OO2pzHO0XvvvRdLliyJTTbZJHvud1HLP0e1/C5q/vOTBijuvffemDt3buy3337ZMt+hln+OWuN3SAj7n//+97/x4Ycfxuabb17vAKXnKUitSlq+pu1rf67NPsn3HCVpvvANN9yQfaEvvfTSuO++++LQQw/N3oumPT/Nsc+2rKmOZ/qHpalTp8Zdd90VEydOzP5gSde/vP32243Q67alMc7RueeemwXi2j9w/C5q+eco8buoec/PokWLonPnzrHhhhvG4MGD45prromDDz44W+c71PLPUWv8DpU2dweguR1zzDF1j1Phjo9//OOxww47ZP+actBBBzVr36A1SL/kaqXvTwpl22yzTUyfPj1GjBjRrH1ra8aPHx/Tpk3L/vuVLnan9Zwjv4uaV5cuXeLxxx+Pd955J/sj/uyzz85G9g844IBm7hkNPUet7TtkJOx/unXrFu3bt49XX3213gFKz7t3777Kg5eWr2n72p9rs0/yPUerkr7Q6b2ef/55p6OJz09z7LMty+t4pupVvXr18h3K+RxdccUV2R/4d999d/bHRy2/i1r+OVoVv4vyPT9pOlzPnj2zqnujR4+OL37xi1FVVZWt8x1q+eeoNX6HhLD/SUObn/jEJ7JkXWvZsmXZ80996lOrPHhp+fLbJ7/73e/qtt9uu+2y/zMtv011dXX8+c9/Xu0+yfccrcqCBQuyOcTptgI07flpjn22ZXkdz/SvlC+88ILvUI7n6LLLLouLLroomxKayjgvz++iln+OVsXvonzPz4rSa2pqarLHvkMt/xy1yu9Qc1cGaWnlMlPlwqlTp2YlME877bSsXObChQuz9SeeeGLhW9/6Vr3y56WlpYUrrrgiKzmbKoStqkR92sevf/3rwpNPPplVbVGivuWco7fffjsrv/3www8XXnzxxcI999xT2GOPPQo77rhj4YMPPliPnrZNa3t+ampqspLNqW2xxRbZuUiPn3vuuQbvk+Y/R6NHjy7Mnj07+w6l79yAAQMK3bp1K7z22mtOTw7fo/R7JpV6/tWvflWvNHP679vy2/hd1HLPkd9FzXt+LrnkksLdd99deOGFF7Lt098M6W+Hn/70p/XOoe9Qyz1Hb7fCv+eEsBVcc801ha233jr7j2Uqn/mnP/2pbt3++++flb9c3vTp0wu9evXKtk/3ybnzzjvrrU9lTb/zne8UNt988+z/bAcddFBh7ty5TXlOi15jnqP33nuvcMghhxQ23XTTLJylEtzpXhX+wM/n/KT/UKZ/C1qxpe0auk+a/xwdffTRWUBL+9tyyy2z5+k+LuRzjtJ/t1Z1jtI/OtXyu6hlnyO/i5r3/Jx//vmFnj17Fjp06FDYeOONC5/61KeykLA836GWfY7ea4V/z5Wk/2nu0TgAAIC2wjVhAAAAORLCAAAAciSEAQAA5EgIAwAAyJEQBgAAkCMhDAAAIEdCGAAAQI6EMAAAgBwJYQAAADkSwgAAAHIkhAEAAER+/j/pbZvma4dxzgAAAABJRU5ErkJggg=="
+      ]
      },
      "metadata": {},
-     "output_type": "display_data",
-     "jetTransient": {
-      "display_id": null
-     }
+     "output_type": "display_data"
     }
    ],
-   "execution_count": 18
+   "source": [
+    "mu.plot.barh(figsize=(10,6));"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -1062,102 +810,99 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 68,
    "metadata": {
-    "id": "LTjcmcmK9nzI",
     "ExecuteTime": {
      "end_time": "2025-11-12T08:10:58.581455Z",
      "start_time": "2025-11-12T08:10:58.577196Z"
-    }
+    },
+    "id": "LTjcmcmK9nzI"
    },
+   "outputs": [],
    "source": [
     "from pypfopt import EfficientFrontier"
-   ],
-   "outputs": [],
-   "execution_count": 19
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 69,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:10:58.763512Z",
+     "start_time": "2025-11-12T08:10:58.711335Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "ZD5_4rlY9nzI",
-    "outputId": "81faef92-6667-4452-8859-3a659d235b14",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:10:58.763512Z",
-     "start_time": "2025-11-12T08:10:58.711335Z"
-    }
+    "outputId": "81faef92-6667-4452-8859-3a659d235b14"
    },
-   "source": [
-    "S = risk_models.CovarianceShrinkage(prices).ledoit_wolf()\n",
-    "\n",
-    "# You don't have to provide expected returns in this case\n",
-    "ef = EfficientFrontier(None, S, weight_bounds=(None, None))\n",
-    "ef.min_volatility()\n",
-    "weights = ef.clean_weights()\n",
-    "weights"
-   ],
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "OrderedDict([('ACN', 0.15633),\n",
-       "             ('AMZN', 0.00186),\n",
-       "             ('COST', 0.0855),\n",
-       "             ('DIS', 0.00281),\n",
-       "             ('F', -0.01711),\n",
-       "             ('GILD', 0.03164),\n",
-       "             ('JPM', -0.06418),\n",
-       "             ('KO', 0.2675),\n",
-       "             ('LUV', 0.02184),\n",
-       "             ('MA', 0.17125),\n",
-       "             ('MSFT', -0.00282),\n",
-       "             ('PFE', 0.10258),\n",
-       "             ('TSLA', 0.08633),\n",
-       "             ('UNH', 0.02722),\n",
-       "             ('XOM', 0.12927)])"
+       "OrderedDict([('MSFT', 0.03747),\n",
+       "             ('AMZN', 0.07335),\n",
+       "             ('KO', 0.06401),\n",
+       "             ('MA', 0.03675),\n",
+       "             ('COST', 0.07477),\n",
+       "             ('LUV', 0.10466),\n",
+       "             ('XOM', 0.05218),\n",
+       "             ('PFE', 0.12236),\n",
+       "             ('JPM', 0.06229),\n",
+       "             ('UNH', 0.07738),\n",
+       "             ('ACN', 0.03031),\n",
+       "             ('DIS', 0.05623),\n",
+       "             ('GILD', 0.09076),\n",
+       "             ('F', 0.0398),\n",
+       "             ('TSLA', 0.07768)])"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 69,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 20
+   "source": [
+    "S = risk_models.CovarianceShrinkage(prices).ledoit_wolf()\n",
+    "\n",
+    "# You don't have to provide expected returns in this case\n",
+    "ef = EfficientFrontier(None, S, weight_bounds=(None, None))\n",
+    "ef.min_volatility()\n",
+    "weights = ef.clean_weights()\n",
+    "weights"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 70,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:10:58.841600Z",
+     "start_time": "2025-11-12T08:10:58.785635Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 265
     },
     "id": "RVRwHED99nzJ",
-    "outputId": "f606418a-1614-4c38-9574-c18b1b9c5ac6",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:10:58.841600Z",
-     "start_time": "2025-11-12T08:10:58.785635Z"
-    }
+    "outputId": "f606418a-1614-4c38-9574-c18b1b9c5ac6"
    },
-   "source": [
-    "pd.Series(weights).plot.barh();"
-   ],
    "outputs": [
     {
      "data": {
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
-      ],
-      "image/png": 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"
+      ]
      },
      "metadata": {},
-     "output_type": "display_data",
-     "jetTransient": {
-      "display_id": null
-     }
+     "output_type": "display_data"
     }
    ],
-   "execution_count": 21
+   "source": [
+    "pd.Series(weights).plot.barh();"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -1170,30 +915,30 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 71,
    "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/"
-    },
-    "id": "ZnDm8UkC9nzJ",
-    "outputId": "9302f8ed-698e-461b-c4a1-ad8113f1aa11",
     "ExecuteTime": {
      "end_time": "2025-11-12T08:10:58.878293Z",
      "start_time": "2025-11-12T08:10:58.859196Z"
-    }
+    },
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "ZnDm8UkC9nzJ",
+    "outputId": "9302f8ed-698e-461b-c4a1-ad8113f1aa11"
    },
-   "source": [
-    "ef.portfolio_performance(verbose=True);"
-   ],
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Annual volatility: 15.2%\n"
+      "Annual volatility: 6.3%\n"
      ]
     }
    ],
-   "execution_count": 22
+   "source": [
+    "ef.portfolio_performance(verbose=True);"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -1208,66 +953,60 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 72,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:10:59.124493Z",
+     "start_time": "2025-11-12T08:10:58.891311Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "w10Rcb-X9nzK",
-    "outputId": "052edfa3-7811-459c-debb-644dc7aa2368",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:10:59.124493Z",
-     "start_time": "2025-11-12T08:10:58.891311Z"
-    }
+    "outputId": "052edfa3-7811-459c-debb-644dc7aa2368"
    },
-   "source": [
-    "from pypfopt import DiscreteAllocation\n",
-    "\n",
-    "latest_prices = prices.iloc[-1]  # prices as of the day you are allocating\n",
-    "da = DiscreteAllocation(weights, latest_prices, total_portfolio_value=20000, short_ratio=0.3)\n",
-    "alloc, leftover = da.lp_portfolio()\n",
-    "print(f\"Discrete allocation performed with ${leftover:.2f} leftover\")\n",
-    "alloc"
-   ],
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Discrete allocation performed with $61.86 leftover\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages/cvxpy/problems/problem.py:1539: UserWarning: Solution may be inaccurate. Try another solver, adjusting the solver settings, or solve with verbose=True for more information.\n",
-      "  warnings.warn(\n"
+      "Discrete allocation performed with $60.63 leftover\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "{'ACN': 12,\n",
-       " 'COST': 2,\n",
-       " 'DIS': 1,\n",
-       " 'GILD': 4,\n",
-       " 'KO': 69,\n",
-       " 'LUV': 13,\n",
-       " 'MA': 6,\n",
-       " 'PFE': 74,\n",
-       " 'TSLA': 3,\n",
-       " 'UNH': 1,\n",
-       " 'XOM': 20,\n",
-       " 'F': -92,\n",
-       " 'JPM': -15}"
+       "{'MSFT': 4,\n",
+       " 'AMZN': 3,\n",
+       " 'KO': 13,\n",
+       " 'MA': 26,\n",
+       " 'COST': 22,\n",
+       " 'LUV': 14,\n",
+       " 'XOM': 17,\n",
+       " 'PFE': 11,\n",
+       " 'JPM': 2,\n",
+       " 'UNH': 4,\n",
+       " 'ACN': 2,\n",
+       " 'DIS': 3,\n",
+       " 'GILD': 15,\n",
+       " 'F': 1,\n",
+       " 'TSLA': 8}"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 72,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 23
+   "source": [
+    "from pypfopt import DiscreteAllocation\n",
+    "\n",
+    "latest_prices = prices.iloc[-1]  # prices as of the day you are allocating\n",
+    "da = DiscreteAllocation(weights, latest_prices, total_portfolio_value=20000, short_ratio=0.3)\n",
+    "alloc, leftover = da.lp_portfolio()\n",
+    "print(f\"Discrete allocation performed with ${leftover:.2f} leftover\")\n",
+    "alloc"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -1284,13 +1023,15 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 73,
    "metadata": {
-    "id": "mJcyi2-E9nzK",
     "ExecuteTime": {
      "end_time": "2025-11-12T08:10:59.146835Z",
      "start_time": "2025-11-12T08:10:59.142361Z"
-    }
+    },
+    "id": "mJcyi2-E9nzK"
    },
+   "outputs": [],
    "source": [
     "sector_mapper = {\n",
     "    \"MSFT\": \"Tech\",\n",
@@ -1322,9 +1063,7 @@
     "    \"Energy\": 0.1,\n",
     "    \"Auto\":0.15\n",
     "}"
-   ],
-   "outputs": [],
-   "execution_count": 24
+   ]
   },
   {
    "cell_type": "markdown",
@@ -1340,13 +1079,15 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 74,
    "metadata": {
-    "id": "FRjwf0wN9nzL",
     "ExecuteTime": {
      "end_time": "2025-11-12T08:10:59.198868Z",
      "start_time": "2025-11-12T08:10:59.173173Z"
-    }
+    },
+    "id": "FRjwf0wN9nzL"
    },
+   "outputs": [],
    "source": [
     "mu = expected_returns.capm_return(prices)\n",
     "S = risk_models.CovarianceShrinkage(prices).ledoit_wolf()\n",
@@ -1364,87 +1105,82 @@
     "\n",
     "ef.max_sharpe()\n",
     "weights = ef.clean_weights()"
-   ],
-   "outputs": [],
-   "execution_count": 25
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 75,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:10:59.258345Z",
+     "start_time": "2025-11-12T08:10:59.223857Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "pZAu8ypG9nzL",
-    "outputId": "2a3703a8-bbd0-468d-f0c6-25be50f7b0c7",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:10:59.258345Z",
-     "start_time": "2025-11-12T08:10:59.223857Z"
-    }
+    "outputId": "2a3703a8-bbd0-468d-f0c6-25be50f7b0c7"
    },
-   "source": [
-    "weights"
-   ],
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "OrderedDict([('ACN', 0.15093),\n",
+       "OrderedDict([('MSFT', 0.06991),\n",
        "             ('AMZN', 0.1),\n",
-       "             ('COST', 0.04217),\n",
-       "             ('DIS', 0.0),\n",
-       "             ('F', 0.01733),\n",
-       "             ('GILD', 0.06261),\n",
-       "             ('JPM', 0.01013),\n",
-       "             ('KO', 0.05783),\n",
-       "             ('LUV', 0.03754),\n",
-       "             ('MA', 0.34004),\n",
-       "             ('MSFT', 0.05),\n",
-       "             ('PFE', 0.03928),\n",
-       "             ('TSLA', 0.05),\n",
-       "             ('UNH', 0.04214),\n",
-       "             ('XOM', 0.0)])"
+       "             ('KO', 0.0654),\n",
+       "             ('MA', 0.06956),\n",
+       "             ('COST', 0.06275),\n",
+       "             ('LUV', 0.06099),\n",
+       "             ('XOM', 0.06655),\n",
+       "             ('PFE', 0.05642),\n",
+       "             ('JPM', 0.06554),\n",
+       "             ('UNH', 0.06287),\n",
+       "             ('ACN', 0.07175),\n",
+       "             ('DIS', 0.0651),\n",
+       "             ('GILD', 0.06197),\n",
+       "             ('F', 0.07118),\n",
+       "             ('TSLA', 0.05)])"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 75,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 26
+   "source": [
+    "weights"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 76,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:10:59.332255Z",
+     "start_time": "2025-11-12T08:10:59.272898Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 575
     },
     "id": "izbZQ6-G9nzL",
-    "outputId": "1aafb3d3-a32b-469e-e702-6044c7f54116",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:10:59.332255Z",
-     "start_time": "2025-11-12T08:10:59.272898Z"
-    }
+    "outputId": "1aafb3d3-a32b-469e-e702-6044c7f54116"
    },
-   "source": [
-    "pd.Series(weights).plot.pie(figsize=(10,10));"
-   ],
    "outputs": [
     {
      "data": {
+      "image/png": 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Rt912m3e9hLzHxf3334+5c+d6W9HK5Odt2bIFs2bNQp8+fbwjFW+//bZ31OKll14S/aUqXlNNK3avrkT+uiqYG+zHPF4RPQicBEOtsUbRJahag60B7+a96731iuuF6b0PrMdIj04XXRoRhQAGCwpq8qZ4mzZt8naGuvfee71rIeS9JOT9KORgIZPDw48//uh9zqRJk7yBQZ5G9fDDD+Ouu+7yTqeSyeFk1apVuOmmm1BRUYHo6Gjv+opPPvnEu6CbjiV5JOzfXoftK8pRmtcgz984oepqDwZkD4C+ND+QJZLCNEfrRJcQNIpMRXhx84veNRnyHhnz+s/DlB5ToNfyTz8R+Qf3sSAin2ttdmDXzxXY9VMFWhrav6PwkKQKpCx+zK+1kbJtuXwUHs/eLLqMoJUakYq5A+Z6QwY34SMiX2OwICKfqdxrwvblZdi7uQYeV8d/tSQk6TF88e/8Uhupw3c3DMN/kneILiPoGbQGnN3jbFwy8BIMSx0muhwiChIMFkTU5c5Oe9ZWYcfKctSVdn3/gQl17yNsxyqf1Ebq887tA7Esmm2GAyk3KdcbMM7tdS7CdGGiyyEiFWOwIKJOaayyYMeKcuz+pQoOq+9aXA5MMyHjg4d8djxSl3/cm43NRu4LI0JCWAJm9ZuFiwdczMXeRNQpDBZE1G7yr4vi7fXY+kMpyvIbf3MxdmdFxeox+rNboPG4fX9wUrybfh+DBp1VdBkhTafRYXLWZFyScwnGpo8VXQ4RqQiDBRGdlMcjoXBDNTZ9XYz6cv/v2THW8S0iV3/i9/OQsmgiIjDvLqfoMugwfeL64LLcyzCzz0wYdAbR5RCRwjFYENEJuZ0e5K2pxOZvS9BcG7iryL0z7Oj53j0BOx8pgyYzHfOurBVdBh1HamQqrhl0Deb2n4twfbjocohIoRgsiOgYDpsLO1dWYMv3JWg1OQJ+fmO4DuNX3AetteuLwUk9PIP64eIZRaLLoN+QFJ6EKwdd6V2HEWngLulEdCQGCyI6xGZxetdPyC1j7RbfLcjujJGGjYj99g2hNVBgWScMxVWn7RJdBrVDXFgcLsu5zHuLNcaKLoeIFILBgohgabJ7pzvtXFUBl10Zi6az0oH+798qugwKoLppI3HL8C2iy6AOiDHE4OKBF+OK3CuQEJ4guhwiEozBgiiENdW0YvPXxdi9tqpTG9r5k1anwaStj0FXVy66FAqQffNG4w99N4kugzohQh/h3c37msHXcEdvohDGYEEUgloabFi3bB/y11ZD8ij3V8CwuL1I/PRZ0WVQgGy4ciSeyuSIhZrJG+zN6jsL1w25DmlRaaLLIaIA0wf6hEQkdg3Fxi/3Y/uKcm/HJ6UrD+uPRNFFUMDURAS+UQD5lt1txwf5H+Cjgo9wYZ8LcfMpN6NbVDfRZRFRgDBYEIUAp8ONbT+UYtPXJT7dJdvfamvccPYeCsO+baJLoQCoCrOLLoF8xOVxYXHBYny+73PvRnvXD7mei7yJQgCnQhEFMY/bg7zVlVj/WREsAtrG+sKglBp0W/RX0WVQADx6bwZ2GGtEl0F+IIeKG4bcgEtzLoVRZxRdDhH5CYMFUZDau6kGv3y6D03VrVCz2AQDRi65UXQZFADX/iESZo06AzC1T3pUOm4Zdgtm9JkBrUYruhwi8jEGC6IgU57fiDWf7EV1UTOCxXjTEoRv/k50GeRHmphozLvNJroMCpDnkybirIFzgL5TRJdCRD7ENRZEQaKurAVrluxFyc4GBJvagWcjm8EiuCXEye0FRFdBAZAb0xNnbngf2PAe0Ocs4Jy/A91yRZdFRD7AYEGkchaTHb8s2evdiwJBOv5Y2hyPTL0RWhenyQQrV0I0gGrRZVAA3Ndshabtl9Xe74HXlgMjrgDOeBiIThVdHhF1ASc4EqmU2+3x7pb93iO/YPcvwRsqZDaLC60TZokug/zIFhchugQKgMnxORi1f/2Rd0puYOMC4MURwM8vAm71dK4joiMxWBCpUGleAxb+bR1WLy6Ew+ZGKKjJHC+6BPIjS4xBdAnkZzqNDveU7zvxExwtwLd/Al6bCOxfFcjSiMhHGCyIVKS53oov/70dS1/YgsYqdXd76qiyOiM80fGiyyA/MUVpRJdAfjYrPhe9awpO/sTaPGDB+cDiG4AWTo8jUhMGCyIVcLs82PDFfrz/l7XYt7kWocjl8KBl0sWiyyA/qY8MjZG3UBWpj8StBRs69knbPwReHgms+Ze8KY+/SiMiH2KwIFK4svxGLPz7Oqxdug8upwehrCJ+qOgSyE9qIpyiSyA/ujqqD5I7M/pgbwa+fhD492lA8Rp/lEZEPsRgQaRQrc0OfPvmTnz63OaQm/Z0IlXVEtzpvUSXQX5QYeT3eLBKDkvEVbuWd+0g1TuAN88FltwEmENz1JZIDRgsiBRG8kjYsaIM7/3lF+xZy/nFh5M8QOPYi0SXQX5QamgRXQL5yS26FEQ6LD44kgRsfR94+VRgwxsA9/clUhzuY0GkIE3Vrfj+rV2o2hc8u2b7Wrm+N5JFF0G+pdGgWN8kugrygz7RWZi94wffHtRmAj67G9i5BJjxEpDQ07fHJ6JO44gFkUJGKbZ8V+JdS8FQ8dvqa11wDBwlugzyIU1cLBwaLs4NRndbNdDJ+1T4Q9FK4F/jgV9eBTyhvf6MSCkYLIgEa6ppxZJnNuHnjwpDfnF2e9UPnSG6BPIhKTFOdAnkB6Pi+mFy4c/+PYnTAnz1hwPrL+oK/XsuIjopBgsiQSRJwtbvS72jFJV7TaLLUZVSeyokDfc9CBau+GjRJZCPaaDBvTUBXCNW+gvw2gTg5xfYmpZIIAYLIgFMtVZ88uxmrFpU4N2fgTrGbHLBOupc0WWQj1hjw0SXQD52bsIgDKrYEdiTumzAt38GXj8bqMkL7LmJyIvBgijAoxTbfizDB39fh4oCLlbtito+Z4kugXzEHMM+IsHEqDXizqIAh4rDlW88sO/Fiqfl3UXF1UEUghgsiAKkuc6KT5/fjJ8W7oHLzqH6riptioIUFiG6DPIBUxSntQWTS2MHIqOxRGwRbgfw49+B16cA9XvF1kIUQhgsiAJgx8pyfPC3dSjP5yiFrzisbpgnzhNdBvlAfQSDdrCIM8biht0/QTEqNgOvTQI2vSO6EqKQwGBB5EeWJjuWvrAZK97Lh5OjFD5X1Y1tZ4NBVbhddAnkIzcasxBrVVgzCrlz1NLbgA+vBKyNoqshCmoMFkR+UryzHgsfW4fSPP4h85eKGh3cCamiy6AuKg/3xa7MJFpWZBou2eXjzfB8adenwKsTgf2rRFdCFLQYLIh8zOP2YM2SQnz28lZYW5yiywlqbpeE5gnzRZdBXVSqbxFdAvnAna5IGOS1DUrWXAa8NR347q9c2E3kBwwWRD7U0mDztpHd9HUJIImuJjRUROeKLoG6QqdDmV5hU2eow4bE9sbU/BVQBckDrHoWeOMcoGGf6GqIggqDBZGP7N9Whw8fW8/N7gKsutoDZ/cBosugTtIkxMHNFK569zS1QKO2/49yW1p5Yffmd0VXQhQ0GCyIusjt9uDnjwrw+avbYLNw6lPASUDjqLmiq6BOkhLiRJdAXXR6fC5GFm+EKjnMwKe3AB/fCDhaRVdDpHrclYioi3tTfPP6TlQXNYsuJaSVoQe4hFudHPGRokugLtBr9Li7vBCqt20hULUDmP8OkNRHdDVEqsURC6JO2relFh8+vp6hQgGa6p2wDZkkugzqBGtsmOgSqAtmx+egd00QBAtZzU7gP2cAuz8XXQmRajFYEHWQ2+Xx7p795WvbYW9lVxGlqB90nugSqBNaojlwrlaR+kjcvGc9gordBHxwGfDtI3KLP9HVEKkOgwVRB6c+ffz0Rmz7sUx0KXSUUksiJK1OdBnUQU1RKlvwS4dcE9kbyeYaBB8J+Pl54J2ZgLlWdDFEqsJgQdROFQWNWPTEBtQUs+e+ErW2uGAdN0N0GdRBdRG8KqxGqeFJuCpvOYJa0Urg36cBpetEV0KkGgwWRO2w86dyfPr8FtjM7PqkZNU9ThNdAnVQdYRddAnUCbdqkhARCl2UWiqAN88D1v5bdCVEqsBgQfQbPB4JKxfuwfJ38+Fxc8qG0pXVh8MTFSu6DOqAcoNZdAnUQX2jszEz7weEDI8T+PL3wOIbAKdNdDVEisZgQXQC8p4Uy17cgu1cT6EaTrsH5gkXiS6DOqDYwA0l1eaeVg+08u7VoWb7h8CC84GgXFdC5BsMFkTH0VhlwUdPbkDZ7kbRpVAHVSYNF10CtZfBgEodRyzUZEx8f0zauwYhq3wD8H9nHtjzIgitWbMGOp0O559//hH379+/HxqNxvtYeXn5EY9VVlZCr9d7H5efJzv99NO9H5/otmLFCu/zrr76au/HTzzxxBHH/OSTT7z3k/owWBAdpXhnPT56ciNMNVbRpVAnVFZr4E7JEl0GtYMmMUF0CdQBGmhwb1WF6DLEM5UCb0wF8r9EsHn99ddx++23Y+XKlaioOPb/dWZmJt5+++0j7nvrrbe89x/u448/9gaOw2/FxcUYPHgwRo4ciTFjxhx6bnh4OJ588kk0NvJCXjBgsCA6zJbvSvD5K9vgsHJ/CjWvi2kaP190GdQOnoQY0SVQB5yfMAg5lbtEl6EMDjPwwaXAzy8iWJjNZixcuBA333yzd8RiwYIFxzznqquuwptvvnnEffLH8v2HS0xMRFpa2hG3v/3tb6irq8OSJUu8YaLNlClTvI//4x//8ONXR4HCYEF0cNO779/Ow88fFULycJG22lWE9RNdArWDIz5SdAnUTmG6MNxRtF10GcoirzP59k/Ap7cBbvV3DPzwww8xcOBADBgwAJdffjneeOMNSNKRfw9nzJjhHVlYtWqV92P5rfzx9OnTf/PY//rXv7wjHYsXL0ZW1pEjyvL0qscffxwvvfQSysq4plHtGCwo5LU2O/DJs5uxe3Wl6FLIR2pr3HD0GSq6DDqJ1lij6BKonS6N6Y/0xlLRZSjT5neAd2YBrQ1Q+zQoOVDIpk2bBpPJdGgtRBuDwXAodMjkt/LH8v0nIk+ruuuuu/DKK69g/Pjxx33OrFmzMGzYMDzyyCM+/Zoo8BgsKKQ1VFiw6In1qNrHzjTBpmHEbNEl0Em0RHGndDWIN8bhhrwDV6jpBPb/BPz3LKCuAGqUn5+PdevW4ZJLLvF+LC/Gnj9/vjdsHO3aa6/FokWLUFVV5X0rf3wiJSUlmDt3Lm688UZcf/31v1mDvM5CXq+Rl5fng6+IRGGwoJBVUdiEj/+5EeYGbtAVjMpcGaJLoJNoiOK0QzX4nTETMTZefDmphn0HwkXxaqiNHCBcLhcyMjK8oUK+vfrqq96pS/LIxeGGDBninTIlh5CcnBzvguzjsVqt3pGIQYMG4fnnnz9pDaeddhqmTp2KBx980GdfFwUegwWFpH2ba7H0hS2wt3KRdrBqbnTCOmKK6DLoN9RFqH9eerDLjkzD/J3fiy5DPeQAJk+L2v0F1EIOFPL6h2eeeQZbtmw5dNu6das3aLz//vvHfI48SrF8+fLfHK2QRygaGhq8oxpyUGkPue3ssmXLvG1vSZ3a93+aKIjsWFmOle/n46g1aRSE6gacg+xN34kug06gKoyjhUp3pysCBnnnaWo/lw1YeDkw/QVgxBWiqzmpzz77zLsA+7rrrkNcXNwRj82ZM8c7miGvuTjcDTfcgHnz5iE+Pv64x3z66ae9gUIOCXJwkadNHU4+T0RExDGfJ4+GXHbZZXjxxeDpthVqOGJBIWXt0n1Y8R5DRagobY6DR88FwkpVZuTmeEo2NLYPpuYfuXiX2klyA0tvA356FkonBwe55evRoaItWGzYsAHNzc1H3C+PQCQnJ59wJELuAuV0Or2BJD09/Zib3Nb2RB599FF4PCG4s3uQ0EhH9xIjCkIejxurFy3D1h/lvvnczTOUjJZ+QvSKD0SXQcdx8wOxqNe2ii6DTuBtVxKGl24WXYb6jb0FmPo4wJ2kKQRwxIKCnsvpxGfPPYm1H/8XKZn8IxlqqjPHiS6BjkMTEc5QoWBnJeQyVPjKL/8CPr4xKPa6IDoZBgsKag6bFUue+AsK1h3o0lG6YzlSs/NFl0UBVF5rhCcmUXQZdLSE48/NJvH0Gj3uKlVn21TF2v4h8P7FgMMiuhIiv2KwoKBlbWnGor89jJIdW4+4v2Tb50jNLhFWFwWWy+lB88T5osugo7gT5GmJpERz43PRs3av6DKCT+F3wFszVL+RHtFvYbCgoNTSUIeFf/kDqgr3HPfx0u0fIzmzOuB1kRiVcdyFW2ns8ZGiS6DjiDZE4eb8X0SXEbzKNwBvTAOaK0VXQuQXDBYUdEw1Vfjgzw+gvuzEoxKS5EFl/odITGsMaG0kRlW1B66M3qLLoMO0xhhEl0DHcW1ELyRa6kSXEdzq8oEF5wPNFaIrIfI5BgsKKqaaanz46ENorj35aITb6UTd/oWITWbLy2An975rHHuR6DLoMKZo/vlRmtTwZFyx60fRZYSGhr3Am+cBpjLRlRD5FH+zU5CFigfRXFvT7s9xWFvRUv0hIuNsfq2NxCvX9hJdAh2mMZKdzpXmNk0iwp1W0WWEjsaiA+GiiWv+KHgwWFDIhoo21uYmOM2LERbFVoDBrKHOBUfOGNFl0EE14Q7RJdBh+kd3x4V5P4guI/Q0FQNvng807hddCZFPMFiQ6slhorOhok1LXTW0nqUwGF0+rY2UpX7odNEl0EFV4RwlVJJ7LC5oJe52LISpBFhwAdCwT3QlRF3GYEGqJoeJhX/tWqho01hRjIiIb6HV8Y9rsCq1pUDi7reKUGrk2ialGBc/ABP2sROUUKbSA+Ginm1+Sd0YLCgIQoXv2sbW7M9DXOJP8nJfnx2TlMNscsE26jzRZRCAYl2T6BJIfhGg0eLeynLRZZCsufxAt6i6QtGVEHUagwWpUnNd2/Qn3+9FUblnI5IzNvj8uKQMNX3OFF1CyNNER6FFaxddBgG4IH4QBlTtEl0GtWmpBBacB9Tmi66EqFMYLEidoeKvD3oXbPtL2c6fkJq902/HJ3FKm6IghUWILiO0JcaLroAAhOvCcPu+LaLLoKOZqw/s0M01F6RCDBakKoEIFW1Ktn2N1Owiv5+HAsthdcM8kXtaiOSKjxZdAgG4PKY/0po4DUqRzFXAWxdynwtSHQYLUo3mulrv5neBCBVtSrd/ipSsyoCdjwKjqtso0SWENFtcuOgSQl5iWDyuy5PXk5Giu0W9fSFg7npzEqJAYbAgVbC2NGPxY3+CqboqoOeVJA8q8hYhMb0+oOcl/yqv1sKd2E10GSHLEmsUXULI+50hHdG2ZtFl0MnUFwJvzwRaG0RXQtQuDBakeE67DUue+CsaKsQMCbtdLtTuW4i4FP4RDhYetwTThItFlxGyTFFs+StSj6gMzNvJzfBUo2Yn8O5cwM4WzaR8DBakaB63G8ueewKVhWI7ZDhtNpgqPkR0glVoHeQ7lZE5oksIWQ2R3CtGpLscBhg8TtFlUEeUbwQ+uBRwsZsaKRuDBSmWJEn4+rUXULRZGa1fbeZm2Jo+QkQUf7EHg+oaN1w9ckWXEZJqwvkzJMqw2D6YsodrK1SpaAWw+Dr5ipvoSohOiMFCIa6++mrMnDnzmPtPP/103HXXXcfcv2DBAsTHH2jZePvttyMn5/hXX0tKSqDT6bB06VKozcp338Sulcoarjc31EJyLYUx3CW6FOoqCWgYNUd0FSGpIpwjf6Lc29AougTqirxlwLI7RVdBdEIMFkHguuuuw+7du7F69erjBpDU1FScd566dhve8NkSbFj2MZSoqaoUYcavoNPzqpHalUnZoksISaX6FtElhKSzEwZhWCn3rVC9ze8A3/5ZdBVEx8VgEQSGDRuGESNG4I033jhmKpEcLK666iro9XqoRd5PP2LF/478WpSmtngPYuKWQ6ORRJdCXdBU74R96GTRZYQWjQbF+ibRVYQcvVaPu0p2iy6DfOXnF4B1/ye6CqJjMFgE0ajFhx9+CIvFcui+5cuXo6ioCNdeey3UYv/WTfjq1RfkVASlqyrcisRua0WXQV1UmztNdAkhRRMXC7uGo32BdlFcLrrXccPPoPLlA0D+V6KrIDoCg0WQuPTSS+F0OrFo0aJD97355puYOHEi+vfvDzWoKtyDpc/+Ax63etYvlOetRmrWdtFlUBeUmRMh6dQzoqd2UkKs6BJCTowhGjflrxFdBvma5AY+uhao4PQ2Ug4GiyAhL+SePXv2oelQzc3NWLx4sXckQw0aKsrx8ZN/hdOmvkWdJdu/RWp2oegyqJNazS60jp0huoyQ4YqPFl1CyLk2oicSLNzkMyg5LcB784GmUtGVEHkxWChcbGwsTCbTMfc3NTUhLi7uiPvkEPHTTz+hsLAQCxcu9HaDmjdvHpTO0tSIxY//GdbmY79OtSjZvgwpWeWiy6BOqukxSXQJIcMaFy66hJCSFpGCK7gZXnAzVwHvXQTY1Ps3lIIHg4XCDRgwAJs2bTrmfvm+o6c4nXHGGejVq5d3CpR8u/jiixEVFQUlczkc+PTpv6O5thqqJkko3/URkjLqRFdCnVBWHw5PFKfoBIIlmtPOAul2KR5hLpvoMsjfanYBC68A3Nz4kMRisFAQeWRiy5YtR9wuuOAC7NmzB3fccQe2bduG/Px8PPvss3j//fdx7733HvH5Go3Gu1D71VdfxZo1a1QxDerb/7wkfFdtX+4SXl2wEPGpvGqkNk67By0T54suIyQ0RWtElxAyBsb0wAW7fxRdBgVyA71lx+57RRRIDBYKIndxGj58+BG3d955BytXrvTuUzFlyhSMGTPG2/1JXqQ9bdq04260JweUQYMGeZ+rZOuXLsaun4Lrj57LYUdj2UJEJ7aKLoU6qCpxmOgSQkJ9BDtCBco9LXZoJY/oMiiQtvwPWPG06CoohGkkebMDogDbt3k9Pnnyb5CC9I9eVEISjDEXw9oSJroUaietVoNJO56ArqZEdClB7eNbBuODOO6n4G8T4gfitc3fiC6DRJn9f8DQi0RXQSGIIxYUcPXlpfj8haeDNlTILI318NiXwBiunta5oc7jkdA0jn+I/a3CyNE8f9NqtLinggE5pH16G1C+UXQVFIIYLCigbGYzPnnqUTiswf/iwlRdAYP+c+gMnPqhFuVh/USXEPSKDc2iSwh6M+IHoX81R4VCmtt+YDG3uUZ0JRRiGCwoYDweN5Y9/wSaqioRKupL9yI65gdotME7OhNM6mpccPYdLrqM4KXToUzP5gb+FKELx217N4sug5SguRz48Cp2iqKAYrCggFn+9n9Rsj30dgit3rsdiSlrIIHLmdSgfsSFoksIWpr4OLj5c+BXl0f3QzdThegySClKVgNfPSi6CgohDBYUENu+/xqbv1yGUFW+ey1SM0MvVKlRqSNDdAlBS0rkXiH+lBiWgOvyVooug5Rm/f8Bm/8nugoKEQwW5Hdlu3fihzdeRagr3fEjUrP3iC6DTqKlyQnrqeeILiMoOeKVvWGn2t2s74Yoe4voMkiJPruHi7kpIBgsyK+a62qw9JnH4XaxO5KsZNtnSM0uFV0GnURt/7NFlxCUrDFsv+wvPaMyMXfXD6LLIKXiYm4KEAYL8huX04lP//kYrM1crHm40h2LkZzJX+5KVmaKgcfIF8G+Zo7RiS4haN1l10Pv4QUc+g1czE0BwGBBfrP8rf+gpmiv6DIUR/J4UJn/IRK6NYkuhU7A1upG6/g5ossIOk1RGtElBKURcX1xVsFPossgNeBibvIzBgvyi7yfV2Drt1+KLkOx3E4H6os/QGySRXQpdALVGWNFlxB06iJ4pdQf7q2rF10CqW0x95b3RVdBQYrBgnyuoaIM3/7nZdFlKJ68SaC59kNExdlEl0LHUV5rgCc2SXQZQaUq3CG6hKAzNWEQhpZtFV0Gqc3n9wJ1BaKroCDEYEE+5XTYsezZf8Bps4ouRRVaTY1wWpYgLJIvuJTG5fSgeeJ80WUElXKjWXQJQcWgNeDO4l2iyyA1clqARdcATl7YIt9isCCf+v71V1FXWiy6DFVprq2EDp9Db3SLLoWOUhk7RHQJQaXY0Cy6hKAyPzYH2fX8fUudVL0d+OZh0VVQkGGwIJ/ZtfIH7Fz+negyVKmhvAiRUd9Co/OILoUOU1XtgSuzr+gygoPBgCot91jwlRhDNG7K/1l0GaR26/8L7FoqugoKIgwW5BONleX47nVugtcVNft2ISFpldw3SnQpdJAkAY1j5okuIyhoEuMhsSmUz1wf3gNxrY2iy6BgsPQ2oKlEdBUUJBgsqMvcLic+e/4prqvwgYr8DUjJ4O6oSlKu7Sm6hKDgSYgVXULQSI9IwWW7fhRdBgULmwn46Dr5j7noSigIMFhQl63835uo2c/9KnyldOdKpGbniS6DDmqoc8GRO050GarniIsUXULQuF2KQ5iLi27Jh8rWAT/8TXQVFAQYLKhL9m5ci01fcn6mr5Vs+xKp2VyUqRR1Q84XXYLqtcYaRZcQFHJieuKCPI5WkB/8/AJQyHWS1DUMFtRpLQ11+OrVF0SXEbRKty9BcmaV6DJI/n9hTYGk4QKBrmiJ0YkuISjc22KFhuuwyC8kYMlNQEu16EJIxRgsqNO+fvUF2FrYPtJfJMmDyt0fIiGNCzRFszS7YB0zXXQZqtYYyRfDXTUpPgdjitaLLoOCmaUW+PQW0VWQijFYUKds/fZLFG/bLLqMoOd2uVBX9AHikrmxmGi1vU8XXYKq1UY4RZegajqNDvdU7BddBoUCeTrUhjdFV0EqxWBBHWaqqcaK/70huoyQIXfbaq5aiKg4dt0SqbQhEp7wKNFlqFZVmF10Cao2Mz4XfavzRZdBoeKbPwKNXOdHHcdgQR0iSRK+fu0FtpYNMGuLCY6WxQiPcoguJWQ5bG6YJ3JPi84qN3LUrbMi9BG4tZBtqCmAHGbg01sPbOZD1AEMFtQhW77+DKU7t4kuIyS11NdA414KQ5hbdCkhqyp1pOgSVGu/wSS6BNW6KqovUprZyIECbP9PwNrXRFdBKsNgQe3WVFWJn957S3QZIa2xsgTh4V9Bq/eILiUkVVRr4UlME12G6mjCw1GvbRVdhiolhSXgmrwVosugUPXdX4G6QtFVkIowWFC7SB4Pvnr1eTjt3JRJtNr9+YiLXwFoOEQdaB63hKYJF4suQ30S40VXoFq36FIRaec0MhLEZQU+uUn+5Se6ElIJBgtqF3kTvPLdO0WXQQdVFmxGchrbTopQETlQdAmq406IEV2CKvWOzsKcXT+ILoNCXdn6A5vnEbUDgwWdVENFOVZ98I7oMugoZbtWISVrh+gyQk5NjRvOnoNEl6Eq9rgI0SWo0l1WDXQSrxSTAiz/B1C9S3QVpAIMFtSOKVDPweVgq0glKt3+DVKz94kuI7RIQMPI2aKrUJXWWKPoElTn1Lh+OKPwZ9FlEB3gdgBLfge4uR8N/TYGC/pNGz5bgso9u0WXQb+hZPunSMmqEF1GSCnzZIsuQVWao/inpiM00OC+2hrRZRAdqWob8PPzoqsgheNvezqh+rJSrP7wXdFl0MlIEsp3fYSk9HrRlYQMU4MTtlO4E3d7NUSxi1lHTEsYhMHl20WXQXSslf8EGjhKTifGYEEn3gjv3y/A5eSGbGrgcbtQs3ch4lKaRZcSMupypokuQTVqw12iS1ANg9aAO/Zz7RQplMsGfH6v6CpIwRgs6Lh2/Pgtp0CpjNwK2FSxEDEJ3C8gEErNCZB0etFlqEJlOL8n2+uS2BxkNZSILoPoxPb+AGz/SHQVpFAMFnQMq7kFP723QHQZ1Ak2cwusTR8hIoaL7f3Nanahdfws0WWoQpmB+zC0R6wxBjfuXiW6DKKT++pBwNokugpSIAYLOsaq996CtYVTatTK3FAHyf4pDBHs3uFv1dkTRJegCvv1JtElqMKNYdmI44s1UgNLDfDdX0RXQQrEYEFHqCzMx/YfvhFdBnVRU3UZwvRfQWdgD3x/KqsLgyc6TnQZiqaJikKLliNoJ5MZ2Q2X7PxRdBlE7bdxAVC6TnQVpDAMFnTEnhXfv/4qJIkdXIJBXUkBYmJ/hEYjiS4laLkcHrRMnC+6DGVLjBddgSrc4Y6G0c0ARmoiAcvuAtxszkC/YrCgQ7Z++yWq9xWKLoN8qKpwGxK7rYEk/wEgv6hMGCa6BEVzJUSLLkHxBsX2wrm7l4sug6jjanYCa14WXQUpCIMFebWamrBq4duiyyA/KM/7BalZ20SXEbQqqyW4uvUQXYZi2WPDRZegePc2WaBh+Ce1WvEk0FgsugpSCAYL8lr57puwWyyiyyA/Kd3+PVKzORrlD/LMwaZxF4kuQ7HMsQbRJSja6Qk5GFW8QXQZRJ3nbAW+fEB0FaQQDBaEst07sXPlD6LLID8r2b4MKdllossIShXGvqJLUKzmaP6ZORGdRoe7y7iLMQWBPV8Ce9l8gBgsQp7H7fYu2IbEYfigJ0ko37kYyRm1oisJOnU1Ljj6jRBdhiI1RLIZxInMis9F75oC0WUQ+cbXD8svKkRXQYIxWIS4zV8tQ13JftFlUACDZFXBQiSkcl8BX6sffqHoEhSpJtwhugRFitRH4tYCToGiIFvILbegpZDGYBHCzI0NWL3oXdFlUIC5HA40lC1ETCLX1PhSmSNddAmKVBHWKroERbo6qg+SW6pFl0HkWz8+Dth44SqUMViEsJ8XvgOH1Sq6DBLAbjHDUr8IkTHsm+8rLU1OWEdOE12G4pQazKJLUJyU8ERctYvtZSkItdYBK54SXQUJxGARourLSrBzxfeiyyCBWpsa4LYtgTHCKbqUoFHb7yzRJSiLRoNifZPoKhTnFm0KIh0cMaQgte4/QP1e0VWQIAwWIWrlewu8O21TaDPVVMCg/Rx6Axfc+UKpKQYeY5joMhRDExsDm4a78h6uT3QWZu1iFz4KYm4H8M2fRFdBgjBYhKCyvB3Yt3Gd6DJIIerL9iEq+ntodAyaXWVvdcMyYa7oMpQjMV50BYpzTyugkxjkKcjlfw7sWyG6ChKAwSJERyuIDle9bwcSk1dD4u6/XVadPlZ0CYrhjI8SXYKijI7rj9P2rhZdBlFgfP0QwJkRIYfBIsQUrF2Nyj27RZdBClS+ex1SMzeLLkP1ymv18MQliy5DEWyx4aJLUAwNNLi3plJ0GUSBU70D2Py26CoowBgsQmwPg5/ef0t0GaRgpTuWIzWbwbMr3E4PTBPniy5DEcwxetElKMZ5CYOQW7FTdBlEgbX8CcDJ7pOhhMEihGz/4Rs0VpaLLoMUrmTbF0jNLhFdhqpVxgwWXYIimKJFV6AMRq0RdxTtEF0GUeC1VALr/yu6CgogBosQ4bTZsOaj90SXQSpRuuNjJGfWiC5DtaqqPXBlD0Coq4/g/GrZZbEDkNHIsE4hatVzgL1FdBUUIAwWIWLD50tgaWoUXQaphNyKuDJ/IRLT+D3TKRLQOHoOQl11BDdgjDPG4vrdq0SXQSROaz3wy6uiq6AAYbAIAa3NJmxY9rHoMkhl3E4n6vYvRGwyd07ujDL0QKirMHJu9Y3GLMRaTaLLIBJr9cuAlReqQgGDRQj4ZfEHcFj5B546zmFthbn6Q0TF8funoxrrXbAPGo9QVqIP7RfUWZFpuISb4REBdhPw84uiq6AAYLAIck3VVdj67ZeiyyAVa21ugtP8McKinKJLUZ36wecjZGm1IR8s7nRFwiDvQkxEwNp/A2au3Qt2DBYhMFrhcbtEl0Eq11xXDa1nKQxGfi91RKk1GZJWh1CkSYiHWxO6Gy4Oie2NafnLRZdBpBxOC/DTs6KrID9jsAhippoq5K36UXQZFCQaK4oREfEttDp2+mkvS7ML1jEXIBRJCbEIZfc2sgsO0TE2vAGYykRXQX7EYBHE1n6yyLspHpGv1OzPQ3ziTwfaHlG71PSajFDkjI9CqDojIRenlmwUXQaR8rjtwIqnRFdBfsRgEaSa62qwa8X3osugIFSxZyOSM/iiqb3KGiLhCQ+9F9nWuDCEIr1Gj7tLC0SXQaRcW94FGopEV0F+wmARpNZ98hHcLs6HJ/8o27kSqdm7RJehCg6bG+ZJFyHUtESH5tqSOfE56FW7V3QZRMrlcQE/Py+6CvITBosgZG6ox47l34oug4JcybavkJrNq07tUZUyEqGmKfQGaRClj8TNe9aJLoNI+ba8BzRXiq6C/IDBIgg1rN2PuOgU0WVQCCjd/ilSsvjH4WQqqjVwJ6UjlNRFhN76rmsieyPJXCu6DCLlk9swr35JdBXkBwwWQcZtcUK32oazk6/EjIl3IzW1l+iSKIhJkgcVeYuQmNYguhRF87glNE24GKGkJsyOUJIanoQr89helqjdNi4ALPWiqyAfY7AIMuafyyE5PYBLQkS5EWfEzsfMifchM2Og6NIoSMlreWqLPkBcCttr/paKiAEIJWVhFoSS2zRJiHC0ii6DSF37Wqx9VXQV5GMMFkHEY3fDvOaoaSluCWHlOkwMvxCzJ/wePbufIqo8CmJOmw3NlQsRnWAVXYpi1Va74ew1GKGi2BA6u273jc7GhXk/iC6DSDUknRGF2XNw0/b+sNjZaCaYMFgEEcvaSkjWE/yASoChQoMx+mmYO/4P6N9nbKDLoyBnbWmGrekjRESF1hSYjmgYORshQa9HpTZ0RrDuafVAK3HjSKKTkYzR2Nr9ClygfQVTCubgq8oofLC+VHRZ5EMMFkFCcnlgXlXejicCukoJwz2TcdHYhzBoQGhu3kX+YW6oBdzLYAznFajjKXNnIRRoEuMhaRASxsT3x6S9a0SXQaRonohkrMr+HSY5XsKFe87FzpZf28a9saoILjeDebBgsAgSrZtq4G52dOhzNNVuDHaMxfwxD2PY4Kl+q41CS2NlCcKMX0GnD72uQCdjanDCNvwsBDtPQixCgQYa3FtVIboMIsVyxWThi6y7cKr5WVxeMBlltmM3zixvsuKzbewuGCwYLIKA5JHQsrKs8weocWGAZRjmj3oYo06ZDmhC5FIj+U1t8R7ExK+ARiOJLkVx6gacg2DniA+NTSwuSBiMnEpuFEl0NHvCALyb8RAG1T+BWwpHo9Gp/83n/3vlvoDVRv712/+nSRVsexrhqvPBotk6F3ojF32Gn4IS7MbarZ/A7eaUFuqcqoItyMqNRF0l1/McrrQlHhl6I7Sujo0wqok11ohgF6YLw+1F20SXQaQo5pQReFMzE8+W9oHUgfmQeZXNWLmnFqf15x5cascRiyBgWePboXip0Ynsxj6YN+QBnDbqUuj1wf8igfyjbNdqpGZtF12GolgtLrSOm4lg1hytQ7C7LKY/0hu56JRIVp9+Gh5JfBqDS+/DMyV9OxQq2vyHoxZBgcFC5Vz1Vu+IhT9IJhfS67IxN+d+nDn2aoSFh8b0BvKtku3fIrX7XtFlKEpN9gQEs6ao4J4Cl2CMw/V5q0SXQSSUpNGhLPM83BLzIk4tuglvVWR26XirCuuwozx02lQHKwYLlTOvrfR2evInyexCSnU3zOpzJ84ZfwMiI+P8e0IKOiXbliIlqx1dy0JEWZ0Rnuh4BKvaIO8K9jtjJmJsfAFEoUnShWFP9jxcGv4yJu69HF/UJvvs2P/7pdhnxyIxGCxUTHK60bqhOnDna3UjoTIRM3rcinPH34yYWM6FpHaSJJTv+ghJ6XWiK1EEl8OD5onzEayqwoN3o8Tukem4aOf3ossgCjgpLAabs6/CuZpXcE7BLKxp9P1FxqVbK9Bic/r8uBQ4DBYq1rq1Fp7WwF8ZlGxuxFbG4vy063HBhDuQmNi14U8KDR63G9WFCxGfyiu9sqqEUxCsyo2tCFZ3usJg8PCFD4UOT2QKVmTfjPH2lzCrYCp2myP9dq5WhxufbObotpoxWKiYeY3Yvs+S04OoigicnXQFLpx4N7ql9hFaDymfy2FHY9lCRCcG7wvP9qqsluBK74lgVKwPzvB4SmwfnJO/UnQZRAHhiu2OpVn34JTmZ3BVwSRU2gLTyOXdtSUBOQ/5B4OFStlLmuEsN0MRXBLCy404PWYeZk28D5mZOaIrIgWzW8ywNixCRIwdoUzyAE1jL0Kw0YSHo1ZnQTC6r6FJdAlEfmdLzMFb6X9ETt0/cEfhSLS4Arszwe6qFmwsbgjoOcl3GCxUyiJ4tOK4PBKM5TpMDJuBORMeQK8ew0RXRAplaayHx/4JjEG+yPdkyvVBOMqXGJyL0s+Kz8Ww0s2iyyDym5bUkXgu5e8YWPEnPFKUC6dH3Ga5HLVQLwYLFXKbHWjdXgvFkgB9BTBaOxVzxz+I/n25QRody1RdDoP+c+gMboSq+loXHANGIZi4E2IQbPQaPe4qKxBdBpHPSdCgLv10/DHhaQwpuQcvlPaGEny+rRKmVq5lUiMGCxWyyJ2gXOroE6+r9GC4ezIuGvcQBuecLrocUpj60r2IjvkBGq0Hoap+2HQEE3tsBILN3Phc9KzlXiwUPCStHiVZF+DmmBcxsuhG/K9SWU1Y7C4PPtpUJroM6gQGC5WRPBIsvyhwGtRJaKrcGGQbg/mjH8bwwdNEl0MKUr13OxJT1kDy94YsClVqS4OkETflwNdaYwOzwDNQog1RuDn/F9FlEPmEpI/A7uz5mG98GacVXoqvapOgVO+t5Z4WasRgoTK2vAa4m1S86LXWhf6WU3DxyD9i9LALodHwW5CA8t1rkZq5FaHIbHLCNupcBIuW6OD6mb42ohcSLdx/hdRNCovDhuxrcI70MqYVXIh1TbFQur21Fvyyr150GdRBwfUXIASYf6lAMJDqnehlGoj5wx/ChFMvgk4X2K4TpDylO35AavYehKLaPmciWDREBs/IU7eIZFyx60fRZRB1mjuqG37IvhXjbC9gbsHZKLCoa6oiF3GrD4OFirjqrLAXBle7Q6nRiayGXpg3+AFMHn0ZDIZw0SWRQCXbPkNqdilCTWlTNCRjcHzv10Q4ECxuQyLCncG7izgFL2dcT3yceT+Gmv6JawsmoMquzimKX++oQr1ZxbM0QhCDhYpYNlV7Oy4FI6nZhbTaLMwZeC/OGnsNwsOjRZdEgpTuWIzkzBqEErvVDfPEeQgGVeE2BIP+0d0xI+8H0WUQdYg1aRBeT/8Tcmsfwz17h8Pi0kHNHG4PFm3kIm41YbBQkdYtCm4x6yOS2YXk6lTM7H0Hpo6/EVFRCaJLogCTPB5U5n+IhG7BNTp3MtVpoxEMygwtCAb3WlzQyrsYEqmAqdsYPJ3yOHLKH8bfinKE7kHha++vK4EkBelV1SDEYKES9uJmuBuC40pge0hWN+IrEzA9+2acN+FWxMWmii6JAsjtdKChZCFikxSyu3wAlNfo4IlLhtoVG5qhduPjB2D8PnaCIuXvQVGTcRYeSHgWpxTfiVdKeyIYFde3YlUhGyioBYOFSrRuDq2pIW0kuxsxFdGYlnYdLphwJ5KSskWXRAFib7XAXLsIkbGhEajdLgmmSRdDzTRRUTBp1P3/S6vR4p5KTr0gZe9BsT9rBq6Pegmj912HhZVpCHYfrAu9tXdqxVY8KiC5PbAqeaftQHB6EFURjikJl8E20IG1hZ+iqpobVgW7VlMj9MYlCIucC3urAcGuInoQVD35LzFOXr4NNZsePwgD9n0uugyiY0iGSOSlXYg/1pyBTYWhtQ7x+93VsNhdiArjy1al44iFCtj2NMJjcYkuQxncEsIrDJgcPQ+zJt6P7MxBoisiP2uurYQOn0FvdCPYVVd74MoeALVyxav7xU64Lgy3790sugyiI3jC47E2+3qc5X4Z5xVMxyaTun/OOsPm9OC7vGrRZVA7MFioQKhOg/pNHgnGci3Gh12AORMeQK+ew0VXRH7UUF6EyKhvodEF+WJaCWgcPRdqZY9TV4/8o10e3R/dTMGxVxCpnzs6Hd9m3Y4xrS9gfsGZ2NcaHC2pO2vZ1krRJVA7cExJ4Tx2l3e3bToBCdBXAKM152Dk+GnYVrMC+YWrRVdFflCzbxcyBkSioWaSPJsfwaoM3ZECdbLEqrNXviwxLB7X7f5JdBlEcMT3xtLIeXikeAgsdbz+22blnlqYrE7ERQT/tFg143eswll31ENyBvlVWh/RVnowzD0JF419CINzzhBdDvlBRf4GpGRsQjBrrHfBPngi1MgUpd7A9ztDOqJt6u9oRerVmjwE/0l7BDnVj+K+fafA4uZLtKP3tPhmZ5XoMugk+F2rcJwG1XGaajcG2UZj/uiHMXzIuaLLIR8r3bkCqdl5CGZ1g86DGjVEqfMiSI+oDMzbyc3wSIymtHH4R/ITyC17EI/vHwC3xJdmJ7JsG6dDKR2nQimYu9kB+97Q2iTMp2pd6I+hGDDyVBS5dmDd1qWQuOFVUCjZ9iW6D41ETWkPBKPS1iRkaHXQeNS1YL0m3Ak1usthgMGjztpJvXtQVGdOwdPm87B4fzfR5ajG6sI6NFgcSIxS77TLYMdYrGCtW2u8awioa6R6J3qaBmD+8Icw4dT50OmYp4NB6fYlSM4MzmHx1hYXWsdOh9pUGluhNsPj+mLKHq6toMCQtAYUZc3ENZEvY+zea7C4mqGiI1weCV/u4KiFkjFYKBinQfmW1OhEVkNPzBv8ACaPvgJGg7o72IQ6efSpMn8REtOCs7lBbc/JUJsSo/rWKNxTH5zfP6QskiEK27Mvw4X6V3BG4UVY3qDqHWuE+ozdoRSNwUKhnNUWOCssossISlKzC2m1GZg94B6cNfZahIeHXk/wYOF2OlFbtBBxyWYEm9L6cHgi1PW9Waw3QU3OThiEYaVbRJdBQcwTkYjV2TdisuslTC84H9ua1fUzrURri+pR02ITXQadAIOFQrVuCfGdtgNAsriQXJ2Cmb3vwNTxv0N0NK8gqZHTZkVz1UJExVkRTJx2D8yT5kMtNLGxsGnUs5GnXqvHXSW7RZdBQcoVk4mvsu7EKMtzuLTgdJRYQ3sPCl/ySMAXXMStWAwWCmXdWSe6hJAhWd2Ir4zHBVk34bwJtyIujnNe1cbaYoKjZTHCoxwIJpVJI6AWUmIc1GR+bC661xWJLoOCjCOhHz7IeBBDGp7ATYVjUO/gngv+wO5QysVVrArkqrfCVRNcV1/VQLJ7EFMRjWndrkXrkFaszvsY9fWlosuidmqpr0FCxjIYwmbCadchGFRWa9A3ORO6unIonStBPVM8YgzRuCmfG2mS71hShuEt7Sw8XdIXkqTe/VzUYlNJIyqarMiI51pJpeGIhQJZudO2WE4PIsvDMSXhMlw48R6kpfUVXRG1U2NFMcLDv4JWHxxthT0eCaYJ6pgOZYsNg1pcF94D8a38PUtd15g2AX9PehKDSn+Pp4r7MVQEiCQBn22rEF0GHQeDhQLZdvMPniK4JYSXGzA5ag5mT7gf3bMGi66I2qF2fz7iElYCmuDo1Vwe1h9qYI5Rx5SP9IgUXL7rR9FlkIpJGi0qMqfhzrjnMXz/rfhvebbokkLSZ5wOpUgMFgrjsblgL1JXZ5Wg5wEMFVqMM56PuRMeQO9ep4quiE6ics8mJKetRzCorXHD2XsolM6kkplQt0lxCHOxowx1nKQzojB7Dq6IeAXj916JT6tTRZcU0raVmVDaoL69c4Idg4XC2PY0eq+UkwJJgK4CGIUpmDf+QeT0nyi6IvoNZbtWITV7B4JBw6mzoHT1EcqffjYwpgcu2L1cdBmkMpIxGlu7X4ELtK9gSsEcrGpQV6OCYLZ8DztoKg2DhcLYuL5CFbSVHgx1TsBFYx/C0NyzRJdDJ1Cy7RukZu+D2pW6MqF0NeHK78h1T4sdWkn5AYiUwRORjFXZv8Mkx0u4cM+52NkSJbokOsqKfAYLpWGwUBDJI8GWz2ChJppqN3KsIzF/9MM4dej5gIYL95SmZPunSMlS9yK/5kYnbMOnQMnKw5S9oeeE+IEYV7ROdBmkAq6YLHyRdRdONT+Lywsmo8ymnsYEoWbN3jo4XLxYoCQMFgriKG6Gp1U9G0zRYWpd6NsyGBePeBhjhs+CRsMfLcWQJJTv+ghJ6fVQs9qBZ0PJSg0tUCqtRot7KkpEl0EKZ08YgHczHsKg+idwS+FoNDrZkV/pLA43NuznBVkl4asfBWGbWfWTGpzo2dQf84c9hIkjL4ZOZxRdEslTGtwu1OxdiLiUZqhVaXM8PHqFfj9ptSjRKbfpxIXxg9C/mrts0/GZU0bgpdRHMbDqz3h432DYPXxppCYruM5CURT10+N2uzF+/HjMnj37iPtNJhOys7Px8MMPez/+7LPPMHnyZMTExCAyMhKjRo3CggULjvic/fv3Q6PRQKfTobz8yM2lKisrodfrvY/Lz1MKW566r6jSr6QmJzLre2DeoPtx+ugrYDRwEx/RnHYbTBUfIjpenZtP2iwutE5Q5iJuTXwcXBplTkeI0IXjtr2bRJdBClSffhoeSXwag0vvwzPc2E61GCyURVHBQg4BckD46quv8O677x66//bbb0diYiIeeeQRvPTSS7jwwgsxYcIErF27Ftu2bcPFF1+Mm266Cffdd98xx8zMzMTbb799xH1vvfWW934lcdVZ4apV5wseOjGpxYVutRmYPeAeTBl7LcIjYkWXFNJs5mbYTIsQHq38hcbHU505HkokJSq3S84V0f2QamK/ezpA0uhQlnkebol5EacW3YS3KpT1WoA6bndVC6qb2UJaKRQVLGT9+/fHE0884Q0T8sjCp59+ig8++MAbDqqrq3HvvffirrvuwuOPP47c3Fz07dvXe9/TTz+NZ555xhs2DnfVVVfhzTffPOI++WP5fiXhNKjgJllcSKpOwcxet2Hq+N8hJjpJdEkhy9xQBzg/gTFcfeuZymuN8MQkQmmccZFQosSwBFybt1J0GaQAki4Me7Ln4dLwlzFx7+X4ojZZdEnkQ+wOpRyKCxYyOVSccsopuOKKK3DjjTfiz3/+s/fjjz76CE6n87gjE7/73e8QHR2N999//4j7Z8yYgcbGRqxatcr7sfxW/nj69OlQEk6DCg2S1Y34ynicn3kjzptwG+Lj00SXFJKaqspgNHwJnd4NNXE5PWieOB9KY40LhxLdou+GKLtyF5WT/0lhMdicfRXO1byCcwpmYU2jckfXqPM4HUo5FBks5LUPr776Kr7//nt069YNf/jDH7z379mzB3FxcUhPTz/mc4xGI3r37u19zuEMBgMuv/xyvPHGG96P5bfyx/L9SuGxumDfr95FpdRxksODmIooTE29BtMn3oWU5J6iSwo5dSUFiIlbDo1GXRtSVsYNgdKYY5TXPadnVCbm7PpBdBkkiCcyBSuyb8Z4+0uYVTAVu83KHFUj3/ipoBZuj7p+lwcrRQaLtgAgL8wuKipCWVlZl4517bXXYtGiRaiqqvK+lT9WElthE8AfiNDk9CCyPAxnxl+MCyfci/S0fqIrCilVhVuR2O0XSPK26ipRVS3Bnd4LStIUqbx/v7vteug96pvuRl3jiu2OpVn34JTmZ3BVwSRU2hTaSY18qtnmwuaSRtFlkFKDxerVq/Hcc895uz+NHj0a1113HSRJ8q6/kDtEVVQcu9mVw+HA3r17vc852pAhQzBw4EBccsklyMnJweDBg6Ek9n1Noksg0dwSwiv0OC1qNmZPuB/ds5T1PRrMyvPWoFvWdqiFJAGNYy+CktRFKmtK2Yi4vjiz4CfRZVAA2RJz8Fb6H5FT9w/cUTgSLS7ljaJR6EyHuvrqq72zb+TGQke79dZbvY/Jz5HV1tbi5ptvRvfu3REWFoa0tDRMnToVP//886HP6dmzp/dzDr9lZWXhL3/5yzH3H31DqAeL1tZW7z+2/I98xhln4PXXX8e6devw2muvYc6cOd4pTPIi7aPJj1ssFm94OB55lGL58uWKG62Q2fcqt/87BZgHMFRoMc54PuZO+AP69holuqKQULL9O6RmF0ItyvW9oSTVYXYoyX11daJLoABpSR2J51L+joEVf8IjRblwetgyNlQpKVjI5G0S5OZDVuuvHT9tNhvee+89b4hoI7+23bx5s7djqTydf+nSpTj99NNRX3/k2ttHH33U29So7SZ/jrzm+PD75LBx9PMCTXGR/sEHH/SOTsidodpS2j//+U/vP965556Lp556ytsFKjw83Lu4Ww4acueohx56yHv/mDFjjnvcG264AfPmzUN8fDyUxN3igKumVXQZpDQSoKuQcCrOxPBxU7CjfhXy9vAKrD+VbF+G7oPnoaYsC0pXX+uCY+AoGHevhxKUhynnd9jUhEEYsulL0WWQH0nQoD59Mp63nY//lbBdLB2wvdyEerMdSdFhUIIRI0Z4Z9J8/PHHuOyyy7z3ye/LoaJXrwPTWZuamvDTTz95L3zL+7PJevTo4Z2tczR57zZ5NONocuOiw7dtONHzQnLEYsWKFXjllVe87WDl9RWHd3ySN86Tp0TdeeedWLJkifd/xMiRI73TmuT0Jy/2lgPIicgb4iUnJ3vfKol9H0cr6LdpqzwY6hyP+WMeximDzhZdTvCSJJTtWozkDGVd9TqR+qEzoBQlemX8HjNoDbizeJfoMshPJK0eJVkX4OaYFzGy6Eb8r5Khgo6cJvpTgbJGK6+99tojtjyQ1w9fc801R4QC+fbJJ5/AblfWyG9naSR5eICEaVxSAMvaKtFlkJok61Fo34KN27848JuUfEpvNCK51xVoqlF2W8roOD1GLb1J/iUuthC9HvPvkzceg3CXxw/FA5s/E10G+Zikj0B++gz8ufYMrGviJqN0YrOHZ+LZ+cNElwF5Sr88GvF///d/3ilR+fn53vvl9b6lpaW4/vrrvTNo5E2hFy9e7J1VI0+Zkkc55JELeePnoUOHHjqePHtHntZ0eEdTeT+3O+6444jzys+T93qTb6Io6/J9COKIBXVYnQt9MRj9RgzHfs8urNv6KTweZS2eVTOXw4HGsoWITbsMLQ1RUCqzyQXrqHMRue4LoXVoEuMhacQ3oIgxROOm/F8XO5L6SWFx2Jg6Gw9WTERBQYTockgF1hYpa7PhlJQUnH/++d4AIV/Hl9+XZ88cTl5jId8vz8T55Zdf8OWXX3qn/f/3v/89tMBbdv/99x/x8dHHUQpFTYUKNe5mB1y1vy7qIeoIqcGJHk39cNEpD2LSqEug17Otoq/YLWa01i9CRIwNSlbb5yzRJcCToIwryDeE90BcK9tNBgN3VDf8kH0rxtlewNyCs1FgYaig9ilvsqLSZFXcdKgFCxZ4F2efqIGQvG747LPPxp/+9CdvZ1Q5QDzyyCNHPEcOEn379j10U9qa4TYMFgLZi8Rf5SP1k5qcyKjrjrm59+OMMVfCaORGUL5gaWqAx/YJjBFOKFVpUxSkMLEvuhxx4r/fMiJScdlOboands64nvg4834MNf0T1xZMQJWdF0uo49bvV9YFhmnTpnm3RHA6nd42su2Rm5vr7XSqRgwWAnG3bfIlqcWF1Jp0zO53N6aMux6Rkcq4kqxmppoKGLSfQ29Q5lQzh9UN88R5QmuwxonvwHK7JxZGd3AsfAxF1qRBeD39T8itfQz37B0Oi0snuiRSsY37lTUdSqfTIS8vD7t27fK+fzi5peyZZ56J//3vf9i2bZt3U2h5I2d5KtSFF14INeIaC4EcDBbkB1KrC0mtSZjR4zY0JTTg5+0foaVFWZ0y1KS+bB+69f4ezaYpkDzKuxZT1W0UYvC2sPO3RIl9EZgb0xPnb/tRaA3UOaZuY/Afz4V4pbSn6FIoiChtxEIWG3v8C31yRyh5mwR5U2i5Na08qiEv9pYXc8vbKKgRu0IJ4rG5UPHXNd79Coj8SWPUoiW5BT/vXIympsBvlhMsMgeORl31BGiggPZHh9HpNZi46a/QNVQLOf+2y0bh7903Q5TXpW4YvV8Z+3lQ+/agqM04E89Yz8fCSnG99il46bQabPnz2YgJ/7WDEgWO8i6/hQhHcTNDBQWE5PAguiIKU1OuwoyJdyElhVcHO6N89zqkZop7AX0ibpeE5vHzhZ2/LtIl7NynxecwVKhoD4r9WTNwfdRLGL3vOoYK8hu3R8LmEq5hFYVToQTh+goKOJeEiPIwnBl3MewDnFi/7zOUVxzorU3tU7pjOboPjUJN6QAoSUVULhIEnbsqTEznLJ1Gh3vKi4Scm9pPMkQiL+1C/LHmDGwq/HWHYCJ/2rC/Aaf1TxFdRkjiiIUg9v3cv4IEcUsIK9djYsRMzJ7we/ToforoilSlZNvnSM0ugZJU17jh6j5QyLnLjWI6l8yMz0Wfmj1Czk0n5wmPx9rs63GW+2WcVzAdm0wMFRQ4m0s5YiEKg4UAktsDZ5lZdBkU6jyAoUKDsfppmDv+D+jXZ4zoilSjdMfHSM6sgWJIQMOouUJOvV8f+IskEfoI3Fq4MeDnpZNzR6fj26zbMab1BcwvOBP7WsNFl0QhaEtpk3dDOgo8BgsBnFWtkJwe0WUQHSABukoJIzynY964h5A74DTRFSme5PGgMn8hEropp/tIGboH/JyasDDU6gI/YnFVVF+kNFcF/Lx0Yo743vgo4wEMbXwaNxSOQ62DC2dJnBabC3tr1bkPhNoxWAjgrORoBSmTtsqNIY5xmD/mYZwy6BzR5Sia2+lEffFCxCYp4+e5qd4J29AAh8LEwO/8mhSWgGvyVgT8vHR8rclD8J+0R5BT/Sju23cKLG6+rCBl2MrpUELwN4AAzgqmaFK4GhcGtg7HxaP+iFGnTAc0ymqxqhQOayvMNR8iKs4KJajPPTeg53MnxCDQbtGlItKujDAXyprSxuEfyU8gt+xBPL5/ANwSX06Q8qZDUeCxK5QAjgr+USR1kOqc6I1c9BlxCoqlPKzd8gk8HmXuQi1Ka3MT9GFLEBY1D3aL2OkfpZZEZGh10ATo/5EjLhKB1Ds6C3N2/BDQc9KRe1BUZ07B0+bzsHh/N9HlEP0mBgsxeIkhwOTFRM5KjliQukgNTnRv7IuLhj6ISaMugV5vFF2SojTXVkEnLYPBKG5PB1lriwvWcTMCdj5LbGCD1N1WLXQSg22gSVoDirJm4prIlzF27zVYXM1QQcq3u6oZNid/XwQag0WAuRtskOz8Rid1kkxOZNR1x9zc+3HmmKtgNAb2irWSNZTvR0Tkt9DqxDZmqO4RuHUWLdG6gJ1rZFw/nF64KmDnI3kPiihsz74MF+pfwRmFF2F5g6jdUog6zumWsLOCe4YFGoNFgHEaFAUDqcWFlJo0zO53N84edz0iI+NEl6QINUV5iE/86UCrLUHK6sPhiYoNyLkaowLzdWqgwX21CmrvG+Q8EYlYnX0jJrtewvSC87GtmXtQkDrtKOeeYYHGYBFgXLhNwURqdSGxKgkzetyKaRNuRkwsdzqt2LMRyRni9lhw2j0wT7goIOeqDXcG5DzTEgZhUPn2gJwrlLliMvFV1p0YZXkOlxacjhIr96AgddtT3SK6hJDDxdsBxvUVFIwkmxtxFbE4P/16tAwxY82uxWhorECoKtu5Et2HRqKmNFfI+SuThiMQYxYVYf7vhmXUGnHn/h1+P08ocyT0w8cRc/HX4lxYawM3vY3I3wpqOEsk0BgsAoxToSiYSQ4PoisicXbylbAOsuOXPZ+gpqYIoahk21foPjQCNaW9An7uymoN+qZkQVdb5tfzlBn9//vsktiByNz7md/PE4osKcPwlnYWni7pC0liS2kKPgUcsQg4ToUKILfZAU+zQ3QZRP7nkhBRbsQZsfMxc+J9yMwYiFBUuv1TpGQFfodoj0dC0/j5fj9Psd6/85djjTG4YTcXbPtaY9oE/D3pSQwq/T2eKu7HUEFBq7HViTqzXXQZIYXBIoC4voJCjltCWLkOE8MvxOwJv0fP7qcglEiSBxV5HyIxrSHg5y4P6+/X42siI2HS2vx6jhvDuiPOyl70viBptKjInIY7457H8P234r/l2aJLIgoIrrMILAaLAHJWchoUhSgJMFRoMEY/DXPH/wH9+4xFqHC7XKgt+gBxKYH941ZX44KzzzD/nSAp3n/HBpAZmYpLd37v13OEAklnRGH2HFwR8QrG770Sn1anii6JKKAKuc4ioBgsAsjBEQsKdRKgq5Qw3DMZF417CIMGTEYocNpsaK5ciOgE/y92Plz9iJl+O7YrPgb+dIc7BgY3p452lmSMxtbuV+AC7SuYUjAHqxrYEppCE0csAouLtwPIyYXbRIdoqtwYjLEYPGYi8i0bsGXH1whm1pZm6IwfITxqPmyWwOxcXubKQJqfjm2P818r0kGxvXDu1uV+O34w80QkY3XyHPyhdCzK9oSJLodIuIJqvvYKJAaLAJGcbrjqAnu1kkgValwYgGEYMGoUihzbsH7bZ961CcHIXF+LhPSlMIbPhMPm/1+/zY1O2EacjfBN3/r82JYYA/zl3iYLNAI3GVQjV0wWvombi4eLR6CxkX/aidqw5WxgcSpUgLjqbSI34yVSvjonejXnYP7whzB+xFzodMH54qixsgRhxq+g07sDcr7aAWf75bjN0f7583F6Qg5GFW/wy7GDkT1hAN7NeAiD6p/ALYWj0egMzp8bos5qsDhQz85QAcPfQIEMFkR0UlKjE9nog+5DHkCFoQhrtnwMpzO4fn5qi/cgrV8kmurPkNv1+PVcpc1xyNQboXX5dr1CQ6TvR5V0Gh3uLtvn8+MGI3PKCLypmYlnS/uwXSzRSeypNmNcNKcGBgJHLALE1cBpUEQdIZlcSK/LxpyB9+LMsVcjLDwKwaSqYAuS09b5/Tw2iwutE2b7/Lg1Eb5fWD07Phe9awp8ftxgUp9+Gh5JfBqDS+/DM9zYjqhdCmu4gDtQOGIRIK6G4LriShQoktmFFHM3zOpzJxriavHz1o9gsTQiGJTt+hnZQyJRWzbEr+epzhyHaHzg02NWGn37Oy1SH4lb9qz36TGDhaTRoTxjKh5vnoYvipJFl0OkyhELCgwGiwDhVCiirpFa3UhoTcT07JthSmrC6u0fwdRcA7Ur3f4tug+NRE1pH7+do7zWiF4xidC2+G6jvlJjM3zp6qg+SDbv9ukx1U7ShaEgYwYeqTsTa/ayXSxRZxVwxCJgOBUqQNwcsSDyCcnuRmxFDM5Nuw4XTLgDiYmZULuS7UuRkl3ut+O7nB40T5zv02MW6X23I3ZKeCKu2sX2sm2ksBhszr4K52pewTkFs7CmkaGCqCvYcjZwGCwCQPJIcDUyWBD5kuT0IKoiAmcnXYELJ96Nbqn+u+Lvd5KE8p2LkZRe57dTVMYN9dmxNLGxsGlcPjverdpkRDq4gagnMgUrsm/GePtLmFUwFbvNkaJLIgoK9RaHtzsU+R+DRQC4TXbAzV6zRH7hkhBebsTpMfMwa+J9yMzMgRp53C5UFy5EfKrJL8evqvbAldHbNwdLiPXNcQD0jc7GzF0/IpS5YrtjadY9OKX5GVxVMAmVtsBsoEgUSkoaWkWXEBIYLAKA6yuIAsAjwViuw8SwGZgz4QH06jEMauNy2NFYthDRCb7/AyhJQOPYi3xyLGdCNHzl7lYJOikwe3oojS0xB2+l/xE5df/AHYUj0eLiskcif6kysTtnIPC3WACw1SxRAEmAvgIYrZ2KU8efi201P2JP4S9QC7vFDH3jR4iImQ9ri2/7rpdreyHFB8exxYX74CjAmLj+OG3Ldwg1Lakj8V9pJl4o9dEIEhGdVKWJF3kDgcEiANwcsSASQlfpwXBMxrBxZ2JX02rsyFPHAmFLYx30xk9gDJ8Dh813v6Yb6lxw5IyFMa9rQcsSY+hyLRpocE9NJUKFBA3q0yfjedv5+F+J+hsOEKlNFYNFQHAqVABwDwsisTRVbgyyjcH80Q9j+OBpUANTdTmM+i+gM/h2mlDd0Au6fIymqK5vynZewiDkVuxEsJO0epRkXYCbY17EyKIb8b9KhgoiESoYLAKCIxYBwGBBpBC1LvTHKRgwciT2ubZj/dZlkCQPlKqutBBpfX+EqeEsn+2wXGpNQbpGA4286KKT6iO7FnaMWiPuKNqBYCbpI5CfPgN/rj0D6wp9t9idiDqHaywCgyMWAeCq5zczkZJI9U70Mg3E/OEPYcKpF0GnU+41lqrCbUjstgaSvHjEByzNLlhHd23Uoiaia20bL4sdgIzGEgQjKSwOG7KvwTnSy5hWcCHWNTFUECkB11gEBoOFn3lanZBsodnxhEjppEYnshp6Yd7gBzB59GUwGHyzKNnXyvN+QWrmVp8dr7bP6V36/Apj57tWxRljcf3uVQg27qhu+CH7VoyzvYC5BWejwBIhuiQiOkxNsx1SF0ZqqX2Ue5kuSHAaFJHySc0upCELcwbei9qoCvy8ZRFsNmXt1Fq64wd0PyUSNSX9u36shih0D4uAxt650dQSQ3Onz/07YxZircEzDcoZ1xPLoufhT8VDYanXiS6HiE7A4fagzuxASoxvu+3RkThi4Wdus1N0CUTUTpLZheTqVMzsfQemjr8RUVEJUJKSrZ8hNbu0y8dx2NwwT+rknhZaLUp0ndvELysyDRfv+gHBwJo0CK+n/wm5tY/hnr3DYXExVBApXSXXWfgdg4WfeRgsiFRHsroRX5mA6dk347wJtyIuNhVKUbpjMZIyart8nKrUUZ36PE1cLFyazi14v9MVAYO7a+szRDN1G4OnUx5HTvnD+FtRDpwe3yyqJyL/4zoL/+NUKD/zWNT9R5QolEl2N2IqojEt7TpYhrRize6PUV9fKrYmjwfVBQuR0vtyNFbHd/o45dVa9E7sBl1DdcfOnxgHoOPTxIbG9sa0rerYR+R4e1DUZpyJZ6znY2FxmuhyiKiTuJeF/3HEws/cFo5YEKme04OoinBMSbgMF064B2nd+ggtx+VwoKFkIWKTOr8OxOOWYJpwcYc/zxkf1anz3dvY+XUZIveg2J81A9dHvYTR+67DwkqGCiI144iF/3HEws84FYooiLglhFcYMDl6Hhz93NhQ9AVKy8Vs8mZvtcBcuwiR8Zegtblz3awqI3OQ2MHPscZ2/FxnJuRixKavoBaSIRJ5aRfijzVnYFNhtOhyiMhHuJeF/3HEws88HLEgCj4eCcZyLcaHXYA5Ex5A756nCimj1dQIV+sShEV27vdMdY0brh65Hfocc0zHFinrNXrcXVoANfCEx2Nt9vU4y/0yziuYjk0mhgqiYMLdt/2PwcLPOBWKKIhJgL4CGKWZgnnjH8SAvuMDXkJzbSV0+Ax6Yyf2y5GAhlFzOvQpTR2cCTUnLgc9a/dCydzR6fg263aMaX0B8wvOxL5WZe5nQkRdwzUW/sepUH7GqVBEoUFb6cEwTMIpY09HnukXbM8LXFvVhvIipPb+Fi3ucyC5O3a9qEzKRkd6XtVFtj/AROkjcXPBOiiVI743lkbOwyPFQ2Cp43U2omBX1cxg4W8MFn7GqVBEoUVT7UYuRiF39DgUWDdh046vgADs9lqzbxcyBkShoWaiXEW7P6+p3gn70MkI27aiXc+vDre3+9jXRPZGknk3lKY1eQj+p5+NJ4v7wS0xUBCFCofLA5vTjXAD953xFwYLP/I43JCcnev3TkQqV+tCPwxF/1NPRZFrB9ZtXQpJ8u/vg4r89cgeHIna8o6t+ajNnYasdgaLCmNru56XGp6EK/OU1V62KW0cXnVdiH+XdRddChEJ0mJzMVj4EYOFH3G0goikeid6YgB6DXsIpboC/LJ5Cdx+3CSudMcKdB8aiZrSnHZ/Tpk5EZk6PTRu10mfW6xvX9vY2zRJiHC0L4T4ew+K6swpeNp8Hhbv7ya6HCISrMXmREpMmOgyghbHgP2IwYKI2khNTmTV98S8wfdj8ugrYDRE+O1cJdu+RGp2cbuf32p2oXXczJM/Ua9Huc500qf1i+6OCwO4xuR4JK0BRVkzcU3kyxi79xosrmaoICLAbD/5BRTqPAYLP3Jz4TYRHUVqdiGtNgOzB9yDs8Zei/Bw/7Q0Ld2+BCmZ7d9Vu6a7vDbjt2kS4iG1Y/nGPa1uaP087etEJEMUtmdfhgv1r+CMwouwvCFBSB1EpExmG4OFPzFY+BFHLIjoRCSLC8nVKZjZ+w5MHf87REf79gWwvJ6jIv9DJKY1tOv5pXVh8ETH/eZzPImxJz3O2PgBmLh3DQLNE5GI1dk3YrLrJUwvOB/bmrkHBREdq4UjFn7FYOFHDBZEdDKS1Y34ynhckHUTzptwK+LifDdlx+10orZoIWKTW076XJfDg5YJ83/zOY64yN98XKvR4t6qcgSSKyYTX2XdiVGW53BpwekosXIPCiI6MY5Y+BcXb/sRgwURtZdk9yCmIhrTul2L1iGtWJ33MerrS7t8XKfNipbqRYhMvBStpt9+0V2VOAy/NWZhjf3tBY8XxA/CwH2fIxAcCf3wccRc/LU4F9ZadnghovbhGgv/YrDwI4+9EzvhElFoc3oQWR6OKQmXwZbjwNrCpaiqKuzSIa3NTdAbFyM8ah5sFuMJn1dRLaFvanfoakqO+3hLzIlfwIfpwnD7vq3wN0vKMLylnYWnS/pCas+CDyKiwzBY+BenQvkR97Agok5zSwgvN2By1BzMnnA/umcN7tLhWuqqofEsgyHsxBc85PXWTeNPPB2qKfLEG/1dHtMfaU1l8JfGtAn4e9KTGFT6ezxV3I+hgog6vY8F+Q9HLPxIcnLEgoi6yAMYKrQYZzwfoyecj00V32Ff0cZOHaqxohgpPb+G2z0NHtfxryuVG/si6QSfXxtx/D/ICcY4XJ/3E3xN0mhRmXEOnjRPw6f7U31+fCIKPWY7p6n7E0cs/EhycMSCiHxEAnQVwChMwbzxDyKn/8nbwx5P7f7diEtYCWiOP/pQV+OCs+/w4z5WFW477v2/M2Qg2ta+jfPaQ9IZUZg9B1dEvILxe6/Ep9UMFUTkG1y87V8MFn7EEQsi8gdtpQdDnRNw0diHMDT3rA5/fuWeTUhOW3/Cx+tHXHjc+8uNlmPu6x6Zjot2+WYzPMkYja3dr8AF2lcwpWAOVjX8dvtbIqKO4lQo/+JUKD/iGgsi8idNtRs5GImc0WNRaNuCjdu/kDewaNfnlu1ahe5DolBTNuiYx0odGUg7zucU64/ddftOVxgMnq5NLfBEJGN18hz8oXQsyvb8ducpIqKu4D4W/sVg4UecCkVEAVHrQl8MRr8Rw1Hk2Yl1Wz71bpB3MiXbv0b3UyJRU9LriPtbmpywnnoOIjZ+c+g+TVgYanRHjlicEtsH52z9sdNlu2Ky8E3cXDxcPAKNjfxzRET+x6lQ/sXf5H5UnmyGM8wGnUcDnUfrfat1A1q3Bjq31vu+zgVoXRrvWw27nBBRF0gNTvREf/Qa9hDKdIVYs/ljuN2O3/yckm2fIHvwxagtSz/i/tr+Z6P7YcECifHyJKkjnnNfQ1On6rQnDMBHEXPw6P5c2Gs5I5eIAoftZv2LwcKPVtRuhMl07NSBY8it4XWAVquFXq+HTqeDXqeHXn6r1UOn1R64T6uDTqOHXv5Yo4MOB97qofX+5/0YWuilA2+1bYFGanv/wM0bZOSA49FC6w02gN4t389wQxQMpCYnMtED8wbdj6rwUqzevAgOp/UET5ZQvmsR0gZchobKX/tBlZlikGUMg9Zh937sjo85IlhMSRiEYZu+7FBd5pQReFMzE8+W9mG7WCISwsJg4VcMFn7kdnds8bbH44HD8dtXF/3mqHAjhxqdN9zIQUb3a7DRHnwrhxj5fchh59dQc+Cmg07SeAON/FYrv5VDjBxs5NGag2/lkRvvqI0cclzag28Zboh8RWpxoVtLOmYPuAd10VVYtXURbNZjuzd53C7U7luIxO6Xw1Qb673P1upG6/g5iF7+nvdjR3zEoefLFzzuKslvdx316afhRft0vFWa6ZOvi4ios1ye9q1Do85hsFBQsFCCtnDjUES40R8YwZEDzGHBxvuxPGLjHcHRHnj/6GAjv20LN/KoDQ4EGe+IjUcLvXda2sH75FGbtqDjOhB0GG4omEgWF5IsyZjZ6zY0xtdj9baP0GI+clqT02aDqeJDRKdcBnPTgRBRnTEW0TgQLFpjf11UPS82Fz32fvbb59ToUJ4xFY83T8MXRcl++bqIiDrK084GF9Q5DBZ+pMZgoaxw4xDzE6HHgRGatlCjP3zU5sDUtAPT0tqmp7VNSzsQan6dmnYg2OglHbRyyDk4Nc37vhxi2kZwDgs13jU48tS0E2xeRtQVktWNeGs8zs+8Ec3JLVi9czGamioPPW4zN0NvXITw6IthMxtRVmtAr9gkaJvr0Rx94Hsy2hCFm/esOfE5dGEoyJiBR+rOxJq9bBdLRMrCXOFfDBZ+xGCh7v93wv7/HRVufp2W1hZsjpqWJgcazcHRm4PrbrwjNd5Rm1/fHgg3B5oIeKeoHQw0h4/eeEds2hoKuDlqE8wd62IqojA19Wq0Drbil92foLZuv/cxc0Md4o2fwBg+Gw6bHqZJFyPh81fQGHngr/F1Eb2QYMk79phhMdiSOhsPVk7C7oLIgH9NRETt4eZUKL9isPAjBgvyRbg5sHQ2gOQ8YThw+zXcHAw2ugPB5tD0tMOmpHlHcA6O2hw5Ne3XBgLexgJyqGnrknbYupsDweawqWneaWkMN37l9CCyPAxnxl8M+0An1u1dhorKPWiqKkNy9y/hdp2HypjBSJC7REU40S0iGZfvOrK9rCcyBT8lzcUfSsegssAo7EshImoPToXyLwYLP07nIQqecGMXFm5+XW/TFmgOdk47NGLTFm4OBpujwo3cYMA7WuMNNW1rb34NN23T0g60gT7YMc2lCa1w45YQVq7HpMhZcE7wYEPxlygp2YG0vstRXXsm+mf1Q1WYFbdLCQg/2F3KFdsdX8TOxcP7h6GlgX9KiEgdmCv8i38N/ESjCYEXI0QB4HK5vLeAD90cDDcao+bYaWnaw0dvDjQQOBRy2qamHRZsDo3aHFx3c8TeNm1rbzwHQoz28HDTNoLjCdDvEw9gqNBinPF8jJ5wAbZUfA99yi9oiJsDQ+zXmL77S9gSc7AwbA7+XpwDZw1/zxGRuriZLPyKwcKPwUK+SfwGJlI1+Wf4ULgJNHm9tPHA75Nj9rg5fFra4d3SjpqWJoeZX8ON5sB7B9fZHNjnpq1j2sGgIwcaOeS0AEMiT4eUoEGdVItJ+ni8kPwoXijtHfh/ByIiH+FUKP9isPAjuW0q11kQkS/CjdPp9N4CKSNDgz59TVglnYNJO7pheF0S/mGIQUMtN5giIqJjMVj4EadDEZHapKdr0LefCWFh29HqqMB7sf9GzQYtxqRuRnPLPgx7dz2cvYagadj5qNT3RF0NQwYRqQdfmvkXg4WfRyyIiJQuLU2DfnKYCN8Ju73Qe5/ZmYD/i34LVQ0GlBeVYUr0L7hgwGBcctWpGP32JqTs24YUeQ1M9gA0nToD1eF9UFPt5sJIIlI0XvT1LwYLP2KwICKl6tZNDhPNiIjYCZu9wHuf/eACeau+O14Mew7bzMC4MhvKAegAXKZNwlPpW3DLtcNw+oJt8sp66EvzkVz6NOS9tQek90TzqFmojuqP6moJHvaLJyKlYa7wKwYLP2KwICIlSUnRoP+AFkR6w8Qe7322o7ptNYcNxlPav6Go1YNMtwbbCuoPPKDVYvaen/Fqj2z8K2UbWq8fhPPfyIPkcBz6XH3lfiQufQ6JAPonpaN57GzUxOWisloDj5shg4jE44iFfzFY+BGDBRGJlpyswQA5TETlwWbbfdww0aYu4jQ87rkb1bYD+/D0qnJgQ9uog0aLKHsLZkf1wltN27EgYSes1w/E3DcLIVltxxxLV1/p3bFb3lyvX1wyWsbNRk3iUFTW6uBycp8fIhKDucK/GCz8iKmYiERITtZ6RyaivGEiz3uf7djX/kcoi56Nx2xXoNl94EV/kqTB9t11hx6XNDrvDILLi7bi3UQjXJILC+N2w3p9P1zxZgkks+WEx9aa6hD31X8QB6BPdBzM42ajNmU4KuoNcNoZMogocLQ6vjbzJwYLP+KIBREFSlKSFgMGmBEV3RYmpJOGiTb5sTfiKcs02Dy/vsjPrXVhveuwF/0aeZUFkNZUhrN7n4cvG3d4P14aXYDW63rhdwuqIZmaT3ourdmE2G/fRCzeRK/wKFjGz0Jd2kiUN4bDYWV7biLyL73xwO8y8g8GCz9isCAif0pI0GJgjhnR0bths+3qUJhoszHuIbzQfCrc+HUNRIwE5O36dbTCS/Pr77Mrq0vxpfHXh76LLILt2mzc+bYeUn1Du8+ttVkQ88P/EIP/oYcxDK1jLkR99hiUm6Jhs7CNLRH5nt7I12b+xGDhRwwWRORr8fEaDMxpRUxMPmy2HZ0KE21+jP8n/mvqdcz9wxo9WG8/8oW9PBWqzeDy7Rgx7ExsMh1oTStbFV4K69Xp+MP/9JCqazpci9ZhR/RPHyIaH6K7Tg/rmAtQ32M8ys1xaG1hyCAi3+CIhX8xWPgR11gQkS/ExWmQI4eJ2D0Hw4Sn02FC5oEOn8a/ho9Mcv+mI4VLwN68g52gTjBiIbvS4sCmo56y0ViJv1yeir8szIBUVtHp+jRuFyJXf+K9ZWl1sJ16Dhr6TkZ5awLMJoYMIuo8Bgv/YrDwI4PBILoEIlKpuDh5mlMrYr1hYnuXw0QbtyYSb8f+H74zhR/38RHNEjaZf20h20Y6KlicUbga3XNHoaS18oj7dxpr8IdLEvHER90hFZV0uV6Nx42I9V8iU77Ji9CHnYmGAWeiwpGK5kZnl49PRKHFEMbZJP7EYOFHYWFhoksgIhWJidUgN8eK2LgC2G3bIcHtkzDRxq5NxmtR/8K65uNfsdNBQuXuxuM+dvhUKJlW8uByTTwex5HBQrZX34C758bh2U97AXuK4EvhW35AhnyTv55BE9A46BxUuNPRVM+QQUQnxxEL/2Kw8CMGCyI6mehoDXJzbYiLl8PENp+HiTYWQx88Z3gaeeYTb1Q30qLF1ibr8R88KljIZu75CS/37IVmZ8sxj5XpTbhtphsvft4P2p0Hdvb2tbCdPyNNvgFw9B+JpqHnolKThfpaTpciouPTGxgs/InBwo/Cw48/1YCIQpscJnJybYiP3wu7fSskyeWXMNGmMWwkntQ8jFLrifeM0EgSTHuaTvj40VOhZBGOVsyL6onXm+SpWseq0ZnxuwtceNWYA/3mA/tp+ItxzwakyjcAzl6D0TR8Oqr0PVErhwxu+k1EBxnYFcqvGCz8iCMWRNQmKkoOE3YkJLSFCadfw0SbqsipeNx1E+odv70R3XC7FrtqLB0KFrJL923CW8kRcHmOP0pg0tpw49RivGocgrC1xw8gvmYo2oEU+QbAldUPppEzURXWBzU1bkgMGUQhjVOh/IvBwo84YkEU2iIj5WlOdiQk7oPdviVgYaLN/uhL8bhtLiwHd9P+Le69v7253YmCRaqpEuf2OQ/LDm6YdzxmjQPXn7EHrxmHIeqnLQgkfVkBksqeRhKAAd16oHnMLFRHDUB1tQSPhymDKNRwHwv/YrDwI45YEIWeCDlM5DiQmCSHic0BDxNtdsbdgadbToezHZfoBzm0yC87WbA48VW+Kyv3Y9lJrqPYNW7cMGEXXjWOQNz3RzeqDQx9dTESlz4Puclu/6R0NI+djZq4XFRWa+BxM2QQhQKOWPgXg4UfccSCKDTIP+q5g5xISio6GCYcQsJEm1/i/4qXTYMhtXNxQeR+80mfc6IRC9nAyl0YM2wK1pr2/OYxXBoPbhy1Da8YRyL5yw0QSVdfiYTPX0ECgH5xyWgZNxs1iUNRWauDy3nyER4iUidjOF/6+hP/df2IIxZEwSs8XF4z4URyUhEczs3weOxCw0Sbr+JfxDsmeceH9unj0mB70fFbzLZ3xEJ2ZUsr1rbjfJIGuGXYFjxvHI2MT9dBCbSmOsR99R/Eyf8e0XEwj52F2tQRqKg3wGlnyCAKJuHR3GPMnxgs/IgjFkTBRb5WkJvrQnLy/oNhwgabHYrg0RjxYdy/scwU26HPSy2zobwdz5Pw2/OSJ+1dg16Dx6LI0p6jAXflbsIThtHo/ZEywkUbrdmE2O8WIBYL0Cs8Cq3jZqI2fSTKGyPgsLpFl0dEXRTBYOFXDBZ+xBELIvULC9MgJ8eF5JT9cHrDhFUxYaKNUxOHN2Jew0qTsUOfl+nWYFtBfbue+1tToWQaSLhCisajHTj/H/ptwiOXjsag95QVLtpobRZE//guovEuehjDYB0zA3XZY1FuiobNwr0yiNSIIxb+xWDhRxyxIFInoxHIyXEjJbX4YJhohV1hYaKNTZeJlyNewOYWTYc/t1eVAxva2RnpZMFCNiP/J7zUpx8aHaZ21/DXHpvw+6tGYuQ7mwCPcqcdaR12RP20CFFYhO46Payjz0N9z4koN8ehtYUhg0gtImIYLPyJwcKPOGJBpB4Gw4EwkdqtFC7nRrgVHCbatBhz8E/dYyi0dLyjUZKkwfbdde1+/smmQsnCXDZcFNEd/3Z0bL+KpzK24PZrhmPSgi2AW/nTjTRuFyLXLPXesjQa2EZORUOfySi3JsJsYsggUrLw6I6N7FLHMFj4EUcsiJRNrwdycj3oJocJ10a43RbFh4k2DRET8LjnPlTaOneVP7fWhfWu9n+u5ySLt9tcXLgeb3aLhcPj6FA9L6VuhfW6ITjnzZ2A0wm1kHcsj1j/FTLlmzyCNOwMNAw4CxWOVDQ3qufrIAoFWp0GYRF86etP/Nf1I6PRCIPBAKeK/kgShUKYGJjjQVq3MrjccpgwqyZMtKmImo6/O66FqQPB4HAxEpC3q/2jFe2dCiVLNtfg/P6jsKSx47ts/zdpB1pvyMGsNwogKaHFVieEb/kRGfJN3rtj0Hg0DjoHle50NNZzJINItPAoToPyNwYLP4uJiUFDQ4PoMohCmk4nT3PyIC2t/GCYaIG9YxfUFaMw9lr8w3IBbF1YjzCs0YP19o690G3PVKg2V5YXYklkJwoD8F5cHqzX98elbxZDsligZmE7VyNNvgFw9BuBplPOR6UmC/W1DBlEInDhtv8xWPhZbGwsgwWRoDAxcKCEtPRyeNwb4XI3qzZMtNkS93s82zwG7nZufHc84RKwN699naAO52nniIWsb3U+Jgw/Bz837UZnLInZA+t1fXDdgkpIzb+9I7haGAs2IVW+yV28eg5C04gZqDL0QG2NW05tRBQAbDXrfwwWARixIKLA0GoPhIn0jHJ4PJvgcpngUHmYaLMi/kn8x9S3y8cZ0Sxhk7nj/ygdGbGQXdlkws/ovK+i9sJ6bQ/c9rYOUsPJN/BTE8P+nUiRb/Ju5Fn9YDr1QlRF9EVNtRsSQwaR33DEwv8YLPyMwYLIvzQaCQMHAhkZFfBIcphoCpowIZOgwbL4V7HQJL8M7RodJFTu7tyL9I6MWMjGF61F3yETUGguRWetiCiG9epM3P8/HaSajq0JUQt9WQGSyv6JJAADuvVA8+hZqI7uj+pqufsuUwaRL0WwI5TfMVj4GYMFkX/CxIABQGZm5cEw0QhHEPZIcGsi8G7sf/C1qZMLFo4y0qLF1iZrpz7Xg/Z1hTrcle4I/Bldsy6sHI9ekYo/v58GqaIKwUxfXYzEZc8jUQ4ZiWloHjsb1fGDUFmtgcfNkEHUVRGxDBb+xmDhZwwWRL6h0QD9+wOZWZWQvGGiISjDRBuHNhn/ifoX1jR3/AX9idqimvY0dWnkpKMuyF+JF/vlos7etXVm2401eOiyJDz+YRak4jKEAm1DFeK/+BfiAfSLTULLuNmoSRqKylo9XE7lbiRIpGQxidxfzN8YLPyMwYKoa2GiXz8gK7sKkDbB6apX0xYHndaq74nnw57BTrPvjjncrsWums53WeroVCiZwe3A/LAMvNLFYCEr0Nfjvovi8fQnPYGC/Qgl2uZ6xH39f4gD0Cc6Dpaxs1CTOhwV9UY47QwZRO0Vk8j9xfyNwSIAXaGIqCMk9OunQXZ2NaDZDKezNiTCRBtT2HA8qfkzilt9+4LRvbdr3ZU6MxVKNr9wLV5PT4TN3fXNQor1TbhjlgvPf9YX2l2FCEVaswkx3y1ADBagd1gELONmoTZjFMobI+CwKn/XciKRohks/I7Bws84YkHUHhL69tUgu3sNNN4wUQNnCLb6r4k4E4+7b0etw7ehYpBDi/yyrgaLjo9YyBIs9ZgeOxaLOrFh3vFU6cy4dboHLxsGQre1c+1sg4XGbkX08vcQjffQwxgG65jpqMseh3JTNGyWEPwBIvotGiAmgcHC3xgs/Eyv1yMiIgJWa+cWTBIFLwl9+mjQvXstNFo5TFTDFcKvhUqi5+Fx26Vocft+akvk/q7PqWrvztvHc0XpbnwUrYHkow0b6rWtuHFaKV41DoZx/Q6fHFPttA47on76CFH4CN11elhHnYv6XpNQbo5Da0sI/2ARHRQZY4TO0PnfY9Q+DBYBGrVgsCA6oHdvDXr0qIVWtxkORxVc8uyNEJ/BkRd3C55umQK75PtQ0celwfairu8D4e7kiIWsV+1enJY1FSua8uArLVo7rj+rEP82noKIn7f67LjBQON2IfKXZd5blkYD26nnoKHv6Si3JsJsYsig0MRpUIHBYBGgYFFTUyO6DCJhevXSoEfPWuh0W+FwVDBMHGZ9/J/xoukUePy0/XJqmQ3lPjiOpxNdoQ53ZWMDVnTtEMewaVy4YdJuvGocjpgfN/v24EFC7gYWseFrZMo3+d/slNPROHAKyh2paG4MocVLFPLYESowGCwCIC5O7uVBFFp69tSgZ8866PRymCiH2w3vjX71bfxzWGDq7rfjZ7o12FZQ75NjdXTn7aON3r8eOUMnIa+lGL7k0Lhx49gdeMU4Eolfb/DpsYNR+NblSJdv8r9d7jg0DJqKCk86muo5kkHBjR2hAoPBIgASEhJEl0AUED16aNCzVz303jBRBnm5gDuIdsH2FUmjx0dx/8YnJnmXAv/pVeXABh/t3tzZxduHu8JpwEPwPTck3DRiC140jELaZ+v9cIbgZNy1BmnyTQ4Z/Uag6ZTzUKnJRn0tQwYFH06FCgwGiwBITJT3USUKTtndNejdqwEGw1bYHaXweAAHw8QJuTTRWBDzH/xo8u+wfJKkwfbddT47XlfWWLSZlv8Tnh8wBDU239V1uDuGbMZTYaPRc/E6vxw/mBkLNiFVvgFw9hwE04jpqNT3RG2tWx6uIlI9jlgEBoNFADBYULDJytagd+8GGI3bYbcXQ74obmeYOCm7rhteiXgZG1v835kkt9aF9S7fLQbvzAZ5RzN4nLjE0A0v+ClYyH7ffxMevXg0Bn7AcNFZhv07kSzf5CCc2RemUTNRFd4HNdUeSAwZpFIMFoHBYBEADBYUDDIztejTpxHGsG2w2/d7X2DYu77nWciwGPrjn4YnsMfi/1dmMRKQt8u3L949km/C0LyCNfhPVjdYXf7rlPfnXpvw4BWjMPx/G8BXwl2jLy9EUvk/kQRgYGp3NI+ZharoAaiuBjw+mmZHFAixyQwWgcBgEQBhYWGIioqCxWIRXQpRh2RkaNGnbyPCwuSRiSLvjAiGiY5rDB+Df0h/QLnV9+1kj2dYowfr7b6dJ++LNRayOGsTZkZPwPtNvtkw70T+kbUZd109AuPf3sKuAT6iqylBwrIXIK8aHJCYhuaxs1ETPwiVNRq4XQwZpFwRMQaERRpElxESFLdTyNVXXw2NRuO9GY1G9O3bF48++ihcLheWL19+6LHDb3/84x+9n3uix+VbVVWV0K+LoxakFunpWkya1IwpZ69Gn75vAVjqDRXUOZVR5+FP7j+g3Me7aZ9IuATszfNNJyhfr7Foc0XJTmh9MLXqZJ5P24rvrx0q71Tq93OFGm1DFeK/+Bf6v3crJq37E0aGbUb3DA/0RsW9rCBCfLdI0SWEDEX+tp02bRrefPNN2O12fPHFF7j11lthMBgwbtw47+P5+fmIjY099Pzo6OgjPv/ox2WpqfKSNHGSkpJQWloqtAaiE0lL06Jv3yaER+yE3V7ovY8jE123L+ZKPN46E1Z5RXuAjGiWsMns+wUvvhqxkGXX78cZPabh+8Zd8Ld/J29H6w25mPFGPiR+U/uFtrkesV//F/Jf3d5RsbCMm4Xa1BEorzfCaQ/c9z7RiTBYhHiwkKcOpaXJDfCAm2++GUuWLMHSpUsPBQs5JMTHn7hN48keFyE5WV4GR6Qcqala9OtvQoQ3TBR47+PrLt/ZHnc3/tkyEa4AzvHXQULl7q7vsu3vEQvZlbXV+D5Af4Heid8F6/UDMP+NfZCs/lvbQYDW0oyY795CDN5Cr7AIb8ioyxiF8sYI2K2ckkZiMFgEjirGLCMiIuBQef9KBgtSgpQULSZMMOPss9dhwMC3oNV+cihUkO+sin8MTzbLoSKw5x1p0aKyyT8vnLu68/bRRpRuxpDY3giUj2LzseD6HtDEHDnCTf6jsVsRvfw99Hzvboz7/k6Mcf2AvhlWREQp8pomBbH4VHHBQnOCKfptt7/85S/e58kX0ceOHevdVDkmJgaDBg3CXXfddeg4CxYsaPdF84EDB3ov0otYBqDon25JkvD999/j66+/xu23337o/qysrCOeV1xc7J1qdKLHe/TogZ07d0IkBgsSJTlZi/4DmhEVmQebfbf3PhtHJvxCggZfxL+M90wHRlwDSSNJMO1p8tvxfT1iIbvCBvwegfN5dCFar+uJW96qg9Tov38rOpbWYUfUqsWIwmJk6/SwjjoX9b0modwch9YWbshH/pWQJi5YVFZWHnp/4cKF+POf/+ydsn/4dH75te78+fPx2GOPYcaMGd7AsWvXLnz77bcdPt+qVatgtVoxd+5cvPXWW3jggQeAUA8Wn332mfcf2ul0wuPx4NJLL/UmuvXrD+yo+tNPP3nT3Il2tj76cXl9hmhyjVqt1vv1EPlbUpIGAwaYERWdB5stz3sfw4R/uTXhWBj7b3xuEnNFfLhdi101/us858s1Fm3OLliF9IGnoNJai0D5MWI/bFdn4d53dPDU+X6RO52cxu1C5C/LvLcsjQb2EWejvt/pKLcmw2xyii6PgoxWr0GcwBGLtINT+2XyaIQcGg6/T7Zs2TJMmDAB999//6H7+vfvj5kzZ3b4fK+//rr3dfPkyZNx5513MljIzjjjDLz66qverlAZGRnQH9XRo1evXr85HHSyx0XQ6XTecFFfzz9k5B+JiRoMGGhBdPRu2GzyolgJNpvoqkKDU5uA/4t6DT83i/uV6t7b7N/j+2gfi8PpPS5cpk/BPxG4YCFbE16Gv1+Vhoff6wapsjqg56ZjR9rCN36DTPkmr/M65XQ0DDwLFc5uMDUwZJBvpkFptb6dyulraWlpeO+997Bjxw4MHjy408dpaWnBokWLsHbtWu90KJPJ5L3YPmnSJIR0sJD3fJDbzAablJQUBgvyqYQELQYONCM6Jh82mzzdj2Ei0Kz67ngx7DlsM4urYZBDi/wyPwcLH6+xaDNnz2q8mp0Bi6sVgbTFWIU/XZaMvy3MhFRaHtBz04mFbV2OdPkGwJEzFo2Dp6LCk4HGek6Xos5JzIiC0t1+++3eADBkyBDv9H15rcU555yDyy67zLtWor0++OAD9OvXz7s+Q3bxxRd7RzACGSxUsXi7o2pqarwLVg6/ydOqRBPd8paCQ3y8FmPHWnH2OVsweMg70BsWw2bb4Q0VFFjNYYPxmOEFbAvsa+JjRO73f6rxxxoLWbStGbOjxVxI2m2owwMXO4DePYScn36bMe8XdFv0Vwxf/DtMKvsvBidXIilFkddDScES05UfLKKiovD555+jsLDQuzebvBzg3nvvxejRo9Ha2v4/MG+88QYuv/zyQx/L78sjGPJIRqAE5U/ogAEDjrlvzZo13gQoUnq6fA2GqOPi4jQYmNOK2Ng9B0OEhyMTgtVFnIbHPXej2iZ23VQflwbbi/zTYjYQIxayy/dvw3sJOrilwLcj3advxJ1zXXh+aR9odu8N+PmpfQyFm5Eq3wC4euSi6dQZqDT0RG2Nm9dU6DclpCk/WLTp06eP93b99dfj4Ycf9q6zkBd8X3PNNTgZebH3L7/8gnXr1h2xrsLtdntHMm644QaEZLCQ22mdyOmnn+7tFNXZx0VjsKCOiI3VICfHiti4Atht2yHBzTChEGXRs/GY7Qo0u8U3Y0gtsyEQE3n8sXi7TUZjCc7qdS6+aRTTva9S14JbL/TgJcMA6Lb/2q2FlElfvAvJ8k0OGZl9YRp5Iaoj+qG6xg1J/I8kKUxyljpbTPfs2RORkZGwWNrXlEOe8nTaaafhlVdeOeJ+ecNp+bGQDRbBTF5QLu/JIbcBIzqeGDlMDLQiLr4Qdts2hgkFyo+9EU9ZpsGmgA5vmW4NthUEZt2WPxZvH+6qmgp8I7CBX53WgpvOL8e/jLkwbPT/juDkG/ryQiSVPwO54fyA1O5oHjML1dEDUFUNeDzKvdBIgWEM1yEuNQJK95e//MU75em8887zrrFoamrCiy++6J3Gf/bZZx8x+rBly5YjPldegyGvS37nnXfw6KOPHrP4Wx79ePbZZ73bLrStvfAnBgsBoxb79u0TXQYpSHS0Bjm5NsTLYcK+DZLkYphQqI1xD+GF5lPhVsjci15VDmwI0Isnl5+DxdCyrRh2yhnY0ixuOpJJY8MNU4rwmnEowtdsE1YHdY6upgQJy16A3IC+X2I3tIydjZr4wais0cAd6N0qSRGSs2O87V2VbvLkyd6RhiuvvBLV1dXeLqLDhw/HN998c8T0frPZ7L3/cPLUqSeffNLbHGjWrFnHHDsnJ8d7k0ct5IDhbxpJyXOHgpD8TbJ69WrRZZBgUVEHwkRCwl7Y7Vu9YYKU7cf4f+K/pl5QiiRJA9cPFbC7AjNy8njv7bi04h9+Pce3/SfhHmcxRDNKOry2JhfRKzaLLoV8wBOTCPP42ahJOgUVdXq4HOJHGykwTjkrGxPn9RNdRkjhiEWAcZ1FiIeJHDsSEtvChJMjEyrggQ6fxr+Gj0yJUJLcWhfWByhUyNyS/6/6nVXwM7JyR6KstQoiOTRu3DB+B141nor4bzcKrYW6TtvSgNiv/4tYAL2jYmEZOxO13U5FRUMYHLbANwygwEnp/utmyRQYDBYBxmARWiIjD4SJxMR9sDu2MEyojFsTibdj/w/fmcKhJDESkLerLqDndEPn93NoJQ8u1yTgCYgNFjJ5utvvTt2Kl4yjkPr5etHlkI9oLc2I+f5txOBt9AqLgGXcTNRljEZ5UwTsrQwZwSa1B4NFoDFYBFhSUpJ3R3GHwyG6FPKT8HAgd5ATSYfChAM2u+iqqKPs2mS8FvUvrGv2/wvqjhrW6MF6e2Cnz/mz3ezhZhX8jFd6dEeLU+COgwfJgzS3Dd2MZwyjkf3JOtHlkI9p7FZEL38f0Xgf3fVG2MZcgLru41HeHAOrhdNT1c4QpvPuuk2BxWARYPIiom7duqG0tFR0KeRD4eHymgkHkpP2w+HcDI/HzjChYhZDHzxneBp5ZuUtQQuXgL15gekEFciuUG0i7WbMjeqFN5u2QynuzdmEx4yj0e9DhotgpXU5EPnzx+j+88fI1upgG3Uu6ntPQrklHpZmhgw1Ss6Ohkar/IXbwYbBQtB0KAYL9QsLA3JzXUhK3g+ncxPDRJBoDBuJJzUPo9SqzAWeI5olbDIHfsTTFYA1Fm0u27cZ7ySHw+VRzgu6h/tswp8uH40h764H2PMkqGk8bkSs/QxZaz9DpkYD+/ApqO9/BsqtyTCbnKLLo3ZK7S6vqqFAY7AQgOss1CssTF4z4URySvHBMGGDnWEiaFRFTsXjrptQr9CuMTpIqNzt/122RS3ebtPNVIFz+pyHLxrlXeaV42/Zm3DfVadi9Nub5E0SRJdDAaCRJIRv+haZ8k2eIjn0NDTknI0KZzeYGhgylCyF6yuEYLAQgMFCXYxGuQ+0CympJQfDhJVhIgjtj74Uj9vmwqKA3bRPZKRFi61NYjbYdPtx5+3juaqqGF+EQXH+mb4Ft1w7DKcv2Aa4lDOiQoERtm0l0uWb3D0sZwwaB09DhZSJxjqGDKVhRygxGCwESElJgcFg8O6oSMpkMAA5uW6kHgoTrQwTQWxn3B14uuV0OBU8xUW+cmra0yTs/P7eIO9ouRU7MXLYWdhgKoDS/CtlG1qvH4Tz38iDxEYcIcuYtxbd5BsAZ59haBp2Pip13VFXw8CphIXbCd24cFsEBgsBdDodsrKyUFRUJLoUOoxefyBMdOtWCpdzI9wMEyHhl/i/4mXTYEgK2U37RIbbtdhVYxF2/kB1hTrclWYbNkCZFiTshPX6gZj7ZiEkK3tIhzrD3i1IkW9yCO+Ri6YR01Fl7IWaGjcU/qslKKX2jOHCbUEYLATp0aMHg4VSwkSOHCbK4HJvgtttZpgIIV/Fv4h3TPLMaeVz720Wen5ngEcsZKcXrkbPwWOw31IBJVoYtxvW6/vhijdLIJnFhT5SFn3xLiTLNzlkZPRG86iZqIroh+oaDyTlzrQMKul940WXELIYLATp3r276BJCOkwMHOhBt7QyuL1hogV2zmYIKR6NER/G/RvLTOroGjLIoUV+mdhg4fIE/uqfBhIuRyz+DmUGC9nS6AK0XtcLv1tQDckk9v8RKY++Yh8SP30WiQAGpGShecxsVMcMRFUN4HFzKMNfMvoxWIjCYCFIdnY2tFotPOwsEhA63YEwkfb/7d0HdFRl4jbw506fSSYz6b2RkEYLAUWxIiooAjYsCEEFe1s/3dUtYu+uYlnbioKurq7rX9e2uusWFewiEKUEAgEDCSGEVJJMpnznDsYFKSaZ8t7y/M6ZE0Lagya595m3pW/5oUy0gVOj9alXcuFZ55P4qNUCtXDUij8sTsRUKNm06iV4LL8ALZ5WKNUHjo3ovjAb1zxvQmBHs+g4pFDG7XWIf/sRxAMYmpCK9nGnozF+OOobJfi8LBnhYjBKSBviEh1Dt1gsBJEXb2dkZKCurk50FM0yGHaXifSMrfD7voaXZUL3uo2ZeMz+ML5pV8/c2wKvhKqNYraYFXFA3k/ZPbsww56DP3qUc2De/iyxfY+u89Nx459MCGxrFB2HFM7YvA3uvz8B+Xn1QmcCOg4/DY1J5djaZIJXodtdq2k3KLPFKDqGbrFYCF5nwWIR/jJRXBxAhlwmAsvg9bawTFBQu6UUDxjvxPpOdT0zmFLXjS2iQwTXWIgrYzNrvsKilFj0+pW9k97XlnrcMisFt7ySgUCdcqdvkbIY2psR94+FkCdmDrHHonP86dieOgZbm63wdPtEx1Mdrq8Qi8VC8DqLpUuXio6hepIUQHExkJFZj0CwTOyER9n3HxRlzfYjcJf/etR3q+uZwEyfhJXrdkAJRI1YyJLat+GkoWPwpsIOzNuf7yyNuPHcBNzz1xwENm4WHYdUxtDVAee/nocTzyPfaseuw6Zje+ah2NLiQM8uloz+yCjkNCiRWCwEFwtJkhBQ8N75Si4TRUVAZlYDAoGvg2WCx4LQ/myNmYo7PBei1auuUiHLb/DgK78yfj+IHLGQVW7diDftUIUaUzOuPdOFB/+WD1Rz9z8aHKmnCzEfvowYvIwckwXd46agKecIbGl3oquDZ2Xsl8QRC9FYLASy2+1ISUnBtm3bREdRBUkChg4NICurAZC+QW/vDpYJOqj1cRfi7s5T0K3CTRISAxKq1jRBKbyCi0Vxw2ocNvp4fNZSDTWoM7XiylN9eOSdoTB8p7xD/khdDF4PHEtfR87S15FtMKJ77GTsKDgaWzrd6GxjyeiTkB4DW4xZdAxdY7FQwKgFi8XBy0RhobyLVl+ZaEIvf4dSPyx3/QoPto2DT6WnU5Vt9+JLBY2yiJwK1aeyrROfQT0ajR245BQvnrCUwvTNatFxSCMkvw/2L95B1hfvIFOS0D16InYWHYct3Ulob9H3s23cZlY8FgsFLOD+8ssvRcdQmAAKCyVk52yDFCwT21kmaEA+dN+Lp1sLoVbOALB6lXJGK5QwYiE7suYzFIw4HDUd6tn0otXQjYsnbcITlhGwfq7sna1IfaRAAPZlHwQfGfLOdyOPws7SE7C1Nw2tzforGRmcBiUci4UCigXJAigokJCT0wjJIJeJRnhZJmiAApDwlvsJvNKaDDUr3+nHlz3K+gFQQrGQD8yb7XPgFqhLh+TBvAnVeNJSjpiPl4uOQxpmW/kx0uUHAE/pOOwcPhn1gQw0Nynr90mkcMRCPBYLwZxOJxITE7FjhzJ2fom2IUOAnNztMBqWw9PbAK+86QU3vqBB8El2vBj3NN5vdUDNbAGgZrXyfh+IXrzd55TqJXiksBjNPeLP9hiIHsmHi45YhScsFXD9a5noOKQDltWfI1V+yD+/BeVoKZ+CemMOmhq1WTLi02MQ47aKjqF7LBYKUFBQoKtikZ8P5OY1wWhcDo+nHj4fgg+iwfIYkvB0zOP4tE39hyJVtAWwrEN5h694/cooFlZvN86xZeFxlRULmVfy4+JDVuIPlrFI+vtXouOQjphrliNZfsjfhzklaBkzDQ2WIWhs9MlDvZqQMyxBdARisVCGoUOH4osvvoCW5eXJjx0wmlbA49nCMkFhs8uUhwXW3+O7DqieEQHUr1HmDbMP4hdv9zl73edYmB6PHl8P1EYe+Lm8fDkeshyKzL9p+/c+KZNp8xokyQ/55zo9H62HnoYG+1Bsa/QjoJz9IgYstyxRdARisVCGvLw8mEwmeDW2qCA3V0JefhNMfWXCD/iU90QsqVirdTTuleZj0y4VXw33MLbTgBUtXVCiXoWMWMgSOptwStw4vLZTvYuhry1bhrsth6LgVZYLEsdYvxEJf3sQ8nP9xclZaBt3GhqdpahvBPw+9QxlmCwGrq9QCBYLBTCbzcjPz8e6derf6zwnR0J+/g6YzCvh8XwP+fgAD8sERUCj/Tjc5bsK2z1+zezu0lrdAqVSyhqLPpV11fi/GHk5t3pufn7q14XLcPPMQzHsJZYLEs+4vQ7xbz+KeACF8SnoOOx0bIsfgfrtBvh6lf17NrM4HkazckZV9YzFQkHTodRaLLKzJeQPaYbFvBI9ns2QDwpmmaBI2hw7A3d1z0S7PAymEaN7DFjV2AmlUtKIhWxI4zocMfpELGlZAzW7NXcZfjVnLMa+sAzBZ2KIFMC4sxGuvz8Jl1wyYt3oGH86GpNGY2uTCV4FPpmTw2lQisFioaBioSaZmRIKCnbCYl2Jnp5NCASAHpYJioLVrstxf/vx6FHzZOD98NW0QcmUNmIhq2xpwRKo330Zy3HVBaNx1KLlXHxGimPoaEHcP55FnFzo7bHoHH8atqeOxdZmKzzdyvh+5cJt5WCxUIj4+HjFbzubkSGhsLAFFmsVeno2Bicg9Khv7SSp2Jfu+XikdRT8Kp7+sj/DPAasrVN2sVDCORY/dfjGL1A88iisbd8EtXs0ZQW65o7Aic99B/Tq72AzUgdDVwec/3oBTryAfIsNnYdPR1PmOGxpcaBnl5iSEZdshztF3duMawmLhcJGLZRWLNLTJRQObYU1WCY2sEyQMP90P4RFrTnQIket8re08gYM8gl1ijO714LfQRueSfwWuy4qxWnPrkOgu1t0HKKDkjzdiP3wFcTiFeSYLOgeNwVNueOxpS0OXR3R24wmt4yjFUoiBQLyJBZSgpqaGrzwwguiYyAtTcJQuUzYvkNPz3rRcUjnApIJf3U9hTdatbnjR4FXwpZ/1UHp4s1efGOshNL0Gi2YVFSG7d3N0IrT2osw87lNCHQqd80N0YEEDEZ0j52EHQVHY0tnPDrbIlsyplw+Enkj5c1zSQk4YqEgubm5wR2iegUMg6emymWiDXb7d+ju2b2InCMTJJpXisUi59P4T6t2T1NNqevGFiifR4FToWRmnwfnWjLwiIaKxevOanTNLcDcRfUItCl7ihzRT0l+H+xfvIusL95FpiShZ/RENBdNwJbuZLS3hPf+xmgyILNE3seKlIIjFgrz0ksvobq6OipfKzlZQlFxOxzBMhGdr0nUXz3GVPzB/hi+7tTuFoKZPgkt/5bPeFH+r2GrwY+1lllQolZHPE7ISEaXT1vTh47pysWVzzcj0KzMQxOJBqpnxFHYWXoCtnjT0NocesnILkvAtKvLw5KNwoMjFgpcZxHJYpGUJKFYLhMxq9HdvXubxm6OTJDCdJqL8ID5HlR3Kv+GOxT5DR58pYJSIetVcEzXrp2Y5hyPV1rUe2De/nxo34Su8zPxyz8ZEWhsEh2HKGTWqo+RJj/kUdCSQ7BzxEmoD2SiuWlw06WGjOIUKKXhiIXCtLS0YMGCBWH9nElJhuDIREywTKwO6+cmCredtnG4O3Ajtihwr/RwSgxI8P57K3q86vl31tpmQqk2JQ3BtDg//Brbhlg2wpOC+X/2I7C1QXQUoojwFIxEa/kpqDfmoqmxnyVDAs6/5wjEuLQ7VVaNOGKhMG63G+np6aivrw/p8yQmGlBc3IGY2L4yEQA3GSGlq485GXd6LsJOFd1sD1bZdi++VNm/MyAZIQWUsW/9T+U2bcDR2ZPw3xbtPXlSZWnEb85LxF2vZiFQq/yF/kQDZalZiWT5IY+O5hSjbcx01FuGoLHRJ9++7FdafhxLhQKxWChQWVnZoIpFfLwBJaUdiI1dg+7uVSwTpCobnJW4a9ep6NLB6cPOALB6lQqnthiMij7ArbK5Cf/V6JKcdaYduH6GG/e/kQesqxUdhyhizJvXInHzfZDP0val56P10FOxzVGEhm1+7DkgmV8u1xBSGk6FUiD5LItHH320X+/rdksoKd0Fp3Mturu/DZYJIrWpcl2LB9qPhFcn375HNfvx5ZehjUqKsDF2LiRvF5Ts7JFHY1W7dm+803yxWPB2EgyruBU46YsvKRNth52GRmcZ6huBmbeMgyuZB+MpDUcsFEg+gTs1NRXbtm3b79tdLgmlcpmIq/6hTPg5MkGqtcR9J55sLdFNJbYFgJrVyjoIs98k5Q8HVHqMuBHa1WDswBVT/XjMXALjit0bcBDpgbFpC+Lffgzy5rLDxhwGV/IE0ZFoP5R/ldDxdKg9uVwGjDusGyecuBIjR/0JZstf0d29MlgqiNQoAAnvuP+AJ3RUKmQVbQE0d3igSgblXzImVX+MVLu2d4rZYdiFiyd/D88hw0VHIRIi/qhxoiPQAXDEQqGGDRuGr77+L8pKuxDnWoee7ioE4OPIBGmCT7Lhlbin8E5rLPTEiADq16j3TILg4m0om8nvxUxTKh6CCtewDEC7oQfzJq7HU5ZRsC9dIToOUVTFTZ4sOgIdgPKfftKppKQkHHnkV7BYX0V39/JgqSDSgl5DPJ6KXYx32vRVKmRjOw2ob1H2GoWDkoxQgzPXfQKHSftzr7slL+YetRptEypERyGKGmtpKSx5eaJj0AGwWChYaspJoiMQhVWXKQcP2p/B0g59Dpa2Vqt3tEItayxkcV2tOC22AHrglfy45LAqNE8aKzoKUVTETZokOgIdhDquEjqVmnqK6AhEYdNmHY47zQ9j5S7oUkW3hNrGTqhZQCXFQjZrUxUMKsobCh8CuLRiORpOOUR0FKKIizuJ06CUTB+/dVXKbs9BXNwo0TGIQtZkPxq34HZs7NbvZgO+mjaonkqmQsmymjdjorsUenL1iG9Qe8ahomMQRYy1rBSW3FzRMeggWCwULjV1qugIRCGpiz0dN/Vei20e/ZaKYR4D1tapv1ioacRCVrldfWeFhOpXRcuw5hyWC9KmuMmcIq506rpK6FBqysn830SqtTbuYtzcNQttPv2WCpmjtgNaIO8KpSbl3y/HyDh9rLXY0/z8Zfhm9iGApPQ9vIgGQJIQdzKLhdLxjlXhrNZUuN2cN0vq87XrN7izfRK6/Xo6pWJfBV4JVRtVvmi7j8qKhaxSp9Pv7s76Bp+cXwEY1ff/jGh/HOPGwZKVJToG/QwWCxVI43QoUpn/uB/Ag21juEkygJQ67Rw+o7apULLjq5cg05EKPVqQtgL/unAkYNLnLmykLe4zzxQdgfpBfVcJne4OZTRqf092Uj8/jHjd/Uc805ovOooiZPokrFy3A1qhxmJhDPgw05AIvXoqqQpvXVQGyWoVHYVo0AwuF5wnHC86BvWD+q4SOmQyOZESXGtBpFw+yYHFrufx19YE0VEUI7/BA5+GpoKpsVjIzqheCqdZfwcy9nnBvQqvzCuE5OATVKROrlNOgYHlWBXUeZXQocyMs0VHIDqgHkMSHotdhA/abKKjKEZiQELVmiZoidoWb/eJ6WnH6TH6HkX7a9xaPDcvG5JTvwWL1Ms9g9Og1ILFQiVcrgrExAwVHYNoH53mAtxvexpfdKjzpjNSyrZ70ePV1sJhtY5YyM6rXQmTpO+1Bu/G1ODxuWmQ4t2ioxD1m23YMNhKSkTHoH5S71VChzI4akEKs9M6FrcbH8DqLu1M9wkHZwBYvUpboxVqHrGQpe/8Hie4eXPyH3stHjzfDUOSftedkLpwtEJdWCxUJD3tNBgMFtExiIIaHJNwc+C3+L5HW8/Kh0P5Tj86erzQmgDUfS5C5bbvRUdQhE9tdbhjjh1Suj53yyL1kGw2xE2ZIjoGDQCLhYqYzW4kJ08WHYMItbEzMd9zCXb0slT8lC0A1KzWzk5QWhmxkA3fUoUKV6HoGIqw3NKAm86TIOVkio5CdEBxk06E0ekUHYMGgMVCZbiIm0T7znU1btl1Jjp9nP60PxVtATR3eKBFal5j0aeys1d0BMVYY27CL8/uAQpyRUch2i+eXaE+6r9K6Ex8/GGw2/NExyCd+sx9K+5uOwa9AZaK/TEigPo1Gjllez8CGrhkTFi/FDmOdNExFKPW1IJrzmhDoKRAdBSivVhyc+E45BDRMWiA1H+V0KHMjLNERyAdes/9CB5tHQ5WigMb22lAfUsXtMqv8qlQMkPAj/Mkl+gYilJvbMcV05vgG1EsOgrRj1xnnCE6Ag0Ci4UKpaefAUkyi45BOuGXLHjZ/RxeaOVc7J/TWq3d0QotLN7uc2r1UsRZOG97T02GTlw6ZQt6x5SJjkIknwwM92mnik5Bg8BioUIWSxKSkiaKjkE60Cu58EfnYrzVGic6iuJVdEuobeyElql98XYfh6cTMxycUvpTrVI3Ljp+I7oPHyk6Culc7NFHw5ScLDoGDQKLhUpxETdFWrcxEw/HLMRH7dziuD98NW3QOr8GFm/3mblhGUwGfR+Ytz+7DL2Yd8xadBwzWnQU0jEu2lYv7VwldCYh4UjYbJyaQpHRbinF3ZZH8U2nNqa+RNowjwFr67RfLLSweLtPSms9TnKVio6hSB7Jh4vGf4uWE8aIjkI6ZEpLQ+wxR4uOQYOknauEzkiSAZkZ54iOQRrUbD8Ct0p3YX03l2n3l6O2A3qgpRELWWX9RtERFMuHAC4ZswKNU7grD0VXwuxZkIzamHapR9q6SuhMZuZMGI0O0TFIQ7bGTMXvvNej3sOD7/qrwCuhaqO2F2338UNbF/uS+lU41FUkOoZiBSTgypHf4PtTDxUdhXTCEBsL99mc6q1mLBYqP4k7PZ3zECk81sddiJu6L0Crl6ViIFLquqEXWtkVak9z2neJjqB415Uuw7qzWC4o8twzZsAYGys6BoWAxULlcrIvhKSRnVpInOWuX+G29ino9nP600Bk+iSsXLcDeqG1qVCyo2o+RX4M16v9nN8WLEPVrEPlebiio5BWmc1ImFMpOgWFSHtXCZ2x27ORnDxJdAxSsQ/d9+L+tnHwiQ6iQvkNHvh0VMa0NhVKJiGAWQE+Q9oft2cvw+dzxgAG3jpQ+MVNngxzWproGBQi/nbQgNyci0RHIJVOa3nT/SSebi0UHUWVEgMSqtY0QU/8Gr1kTKtegngLT+Puj9+nL8d/LywPHmBGFE6JF14gOgKFgTavEjoTFzcSbvc40TFIRXySHS+4nscrrTyAaLDKtnvRo7P1KAENToWS2Xq7cJY9R3QM1Xg8eSXenTcMkoVn3FB4OA4/DLZSbv+sBdq8SuhQbs480RFIJTyGJDweuxjvt3FHscFyBoDVq/Q1WiHza3Dxdp9z1n8Ji4E3yv21KP47/HVeESS7TXQU0oDECy8UHYHChMVCIxITJ8Dh4JQWOrhdpjw8YH8Kn3Vob658NJXv9KOjxwu90epUKFlSRyOmuIpFx1CVV1xr8MK8fEixMaKjkIpZi4oQe9RRomNQmGj3KqEzkiQhN2eu6BikYK3W0bjD9BC+4+6aIbEFgJrV+tkJSi/FQla5Zb3oCKrzZuw6PDU3A5Kba1RocBIu4NoKLdH2VUJn0tKmw2LhnHnaV6P9ONwcmI9NPfpaExAJFW0BNHd4oEdaLxaF29ZivJujFgP1gWMjFlyQACkxQXQUUhlTaipcp0wRHYPCSNtXCZ0xGKzIzuIe0LS3zbEzML/3KmzvZakIlREB1K/Rxynb++PTwSVjTmu76AiqtNT2Pe45PwZSaoroKKQi8bPOg2Q2i45BYaT9q4TOZGaeB6ORi3Jpt9Wuy3HzrnPR7mOpCIexnQbUt3RBr7Q+YiEbv+EzFMZmi46hSl9b6nHLLBOkrAzRUUgFDDExiD/nHNExKMy0f5XQGbPZhfT0GaJjkAJ86Z6Pu9omwhPQzwFukdZard/RCq2evL0/lT676Aiq9Z2lETee64WUz+176eDcZ54Bo9MpOgaFmT6uEjqTk30hJImHF+nZP90PYUHrKHCcInwquiXUNnZCz/wBfVwypqz9GInWeNExVKvG1Ixrz+xEoHiI6CikVCYTEio5dVuL9HGV0Bm7PQvpaaeLjkECBCQTXnUvxKJWPlsYbr6aNuidHtZYyCy+HpxjzRQdQ9XqTK24anoz/MOLREchBXJNnQpzJn/GtEgfVwkdys+/CpLEw570xCvFYqHzebzR6hYdRXOGeQxYW8dioYc1Fn3OXv85bEar6Biq1mjswCVTtsI7micq0//Ii7WTr7xCdAyKEP1cJXTGZstAZiYXRelFjzEVj8Q8h/+080YoEhy1HaIjKIJeRixk8Z07MDWOz7aHqtXQjYsnbULPuBGio5BCuM86i6MVGqafq4QO5eVeDoOBixC1rsNSjHusT+DrTv44R0KBV0LVRn0v2u7jhwQ9mf39Gkg6+zdHQofkwbwJ1eg8qlx0FBJMstuRdNmlomNQBPFORMOs1mRkZ80WHYMiqNl2GG6T7kF1F3d+ipSUum7RERRDTyMWsvztNTjKXSI6hib0SD5cdMQqtB4/RnQUEihh1iyYkpJEx6AI0tdVQodycy+B0RgrOgZFQH3MyZjvuwFbPNz7KVIyfRJWrtshOoZi6GmNRZ/Knfz/Hy5eyY+Lx65A00ljRUchAQxOJxLnzRUdgyJMf1cJnTGb3cjJ4Q+y1mxwVuKm7nnY6WWpiKT8Bg98fo4G9fHpZLvZPY2r/QolzlzRMTQjIAGXly/HlumHio5CUZZ44QUwulyiY1CE6e8qodNzLcxm7smuFVWua3Fr53R08YY3ohIDEqrWNImOoSg+na43qOw1i46gOdeWLUPNDJYLvTAmJvLcCp1gsdABkykWuTkXi45BYbDEfSfubTsSXnaKiCvb7kUPR4R0vXi7z+S1HyPFlig6hub8unAZvpvJcqEHSRdfBENMjOgYFAUsFjqRlVUJiyVZdAwapAAkvON+HE+0loCdIvKcAWD1Ko5W/JQPRuiR2d+Lcy3pomNo0q25y/DVnLGAgbcjWmVKT4f73HNFx6Ao4U+yThiNNuTlXS46Bg2CT7LhJdcivNSaKjqKbpTv9KOjxys6huLodSqUbEb1J7CbuH13JNyXsRwfXzBavlCJjkIRkHT5ZTBYeGCvXrBY6Ehmxjmw2XgojZr0GuLxVOxivNvGnb2ixRYAalZzJ6D90ePi7T6urhZMjy0UHUOzHk1ZgffnjZB3HBEdhcLIkpcH92mniY5BUaTfq4QOGQwW5OddJToG9VOXKQcP2p/B0g6T6Ci6UtEWQHOHR3QMRfLquFjIKjd/B4Ok7/8GkbQw4Vu8cVEJJJtNdBQKk6SrroRk4jVMT/gbUmfS00+Hw5EvOgb9jDbrcNxpfhgrd4lOoi9GBFC/hqdsH4iep0LJsnfU4lgemBdRL7lW46V5QyBxoa/qWUtKEHfyyaJjUJSxWOiMJBlRWHCD6Bh0EE32o3ELbsfGbu5IFG1jOw2ob+kSHUOx9HhA3k9VNjWKjqB5rzursXBuFqS4ONFRKATJ11wNSdL3kxF6xKuEDiUnn4D4+PGiY9B+1MWejpt6r8U2nqYtRGs1RysORu9ToWRjNi/D8DiO+kbaezE1eOzCZEgJPINJjexjx8A5YYLoGCQArxI6VTT0d8HRC1KOtXEX4+auWWjzsVSIUNEtobaxU3QMRdP7VKg+ld387xANH9o34b7znZBSkkRHoYEwGJD229+KTkGCsFjoVGxsMTIyzhEdg37wtes3uLN9Erp5mrYwvpo20REUT8+7Qu3phHVLkG7nuUDR8KV1K26bbYGUkSY6CvWT+8wzYSstFR2DBOFVQseG5P8CJhPnsIr2b/cDeLBtDHyig+jYMI8Ba+tYLH6ON8Bn6mUmvxfnmVgsoqXK0ojfnBeAlJclOgr9DENcHJKv/YXoGCQQi4WOWSwJyM+/WnQM3fLDiNfdf8TCVs7XFs1R2yE6gir4WCx+dEb1J4gxOUTH0I11ph24fkY3MDRPdBQ6iOQrr4Qpnuti9IzFQueyMmfB4SgQHUN3fJIDi13P46+tCaKj6F6BV0LVRi7a7g8fLxk/iu1uw2mx/N0ZTZtMLbj6tBb4y3hQoRJZhxYifua5omOQYLxK6JzBYEZR0XzRMXTFY0zBY7GL8EEbD4FSgpS6btERVIO7Qu1t1qYqGLkJRlQ1GDtw2dRt8I3ieSJKk/qb3/AwPGKxICAx4UgkJ08WHUMXOs0FuNf6JL7o4M2IEmT6JKxct0N0DNXgrlB7y2zejIk8MC/qdhq6cPHk7+E5ZLjoKPQD5wknIObww0XHIAVgsaCgoqG/hcFgFx1D03Zax+J24wNY08Wdn5Qiv8EDH3fi6rdejljsY07jVtERdKnd0IN5E9ej64hRoqPonmS3I/XXN4qOQQrBqwQF2WwZyM+7XHQMzWpwTMLNgd/i+x6eUaEUiQEJVWuaRMdQFR6xsq+RdStQHse1FiJ0S17MPWo12iZUiI6ia0mXXQZzRoboGKQQLBb0o5ycebDbueNGuNXGzsR8zyXY0cu7MiUp2+5Fj5f/TwbCB07h25/KLq/oCLrllfy45LAqNE8aKzqKLlkKCpB4wfmiY5CCsFjQjwwGC4q5kDusvnNdjVt2nYlOH6fbKIkzAKxexdGKgeI5Fvs3cd1SZDl4gJsoPgRwacVy1E89RHQU3UmbPx+S2Sw6BikIiwXtJTHxGCQnTxIdQxM+dd+Gu9uOQW+ApUJpynf60dHDZ5kHqpfFYr8MAT9mGbh1tGjXDP8GtWccKjqGbsRNnYqYcfzvTXtjsaB9FBfdCpPJJTqGqr3nfhSPtQ4DK4Xy2AJAzWruBDUYPi7ePqDTqpfAaY4VHUP3flW0DGvO4c1upBmcTqTe8CvRMUiBeJWgfVitycFdomjg/JIFL7ufwwutXMimVBVtATR3eETHUCUvm/IBOXo6cGZMvugYBGB+/jJ8M/sQQOIIW6QkX3MNTElJomOQArFYhOj888/Hqaee+uOfJUkKPiwWCwoLC3HbbbfB69095eK///1v8G3x8fHo7t77UK4vv/zyx49VgvT0M4LToqj/eiUX/uhcjLda40RHoQMwIoD6NTxle7B4QN7Bzdy4HCYDDwhTgruzvsEn51cARm44EG728nKesE0HxKtEmE2ePBn19fVYt24drrvuOtxyyy24//7793ofp9OJ119/fa+/W7hwIXJycqAkJcV3wGjk0H5/dBsz8XDMQnzUbhEdhQ5ibKcB9S1domOoFovFwaW1bMGJLh6YpxQL0lbggwtHADwNOmwkmw3pd98FycDfBbR//M4IM6vVirS0NOTm5uKyyy7D8ccfjzfffHOv95kzZw6effbZH1/v6urCyy+/HPx7pZ1tMbSQh978nHZLKe62PIpvOpUx2kQH1lrN0YpQcFeon1fZsFl0BNrD00nf4q2LyiBZraKjaELKtb+ANZ9T/ujAWCwizG63w+PZez737Nmz8fHHH2Pz5t0XoNdeew15eXmoqFDeIT+ZmeciPn686BiKtcN+BG6V7sL6bk4+V7qKbgm1jZ2iY6gai8XPG7b1W4x1DRUdg/bwgnsVXplXCMnhEB1F1RxjxyK+shJKsOfU8z0f69evFx1N91gsIiQQCOCDDz7A+++/j+OOO26vt6WkpOCkk07CokWLgq/LoxcXXnghlKq05C4YjfyF/FNbYqbjJu/1qPfwkDU18NW0iY6getxutn8qO/ZeQ0fi/TVuLZ6blw3Jyem9gyGXsuAUKIWsA91z6vmej3yOpgjHYhFmb7/9NmJjY2Gz2YLl4eyzzw6us/gpuUjIxWLDhg349NNPcd5550Gp7PZsFAy5XnQMRVkfdyHmd89BK09uVoVhHgPW1rFYhMrrV85NhZIdu/4T5MZwZzileTemBo/PTYMU7xYdRXVSf3k9LNnZUOLU8z0fRi7WF47FIswmTJiA5cuXBxdvy2snFi9ejJiYmH3eTy4d8tvnzp2LqVOnIjExEUqWlVUJl2us6BiKsNz1K9zWPgXdfk5/UgtHbYfoCJrg4yWjXyQEMBvcHU6J/mOvxYPnu2FIUvY1V0lixh8O9znniI5BKsGrRJjJJULeZlbe4cl0kJ0o5LdVVlYGt6BV8jSoPvLwZ1npPTAYbNCzD9334v62cfCJDkL9VuCVULWRi7bDoZcjFv02rXoJ3BYeNKpEn9rqcMccO6T0VNFRFM8QG4v0O+5Q1BSon84Q6XvMmDFDdCRisRDr9ttvx/bt2zFp0iSogcORjyH510CPApDwpvtJPN1aKDoKDVBKHee7hwvXWPSf3bMLM+zK2kKc/me5pQE3nSdByskUHUXRUm+8AeaMDEXPEOl7PPLII6IjEYtF6Px+/0FHJg5GPkQvKSlJkc8EHEhOzlzExY2CnvgkO15wPY9XWpNFR6EByvRJWLluh+gYmsERi4E5d8PXMBvMomPQAawxN+GXZ/cABbmioyhSzDFHw33mmVD6DJG+R3p6uuhIxGIRusbGxuCCIZm8GPuNN9444Psee+yxwd2i3O79LxyTT/CW365kkmREaem9MBj0cRCcx5CEx2MX4/027oqlRvkNHvi4FiZsuN3swCS3NeAkV7HoGHQQtaYWXHNGGwIlBaKjKIohLg7pt90uOgapEIvFIO3cuTM4v09eIyEfgqcnsTFDUVig/YPzdpny8ID9KXzWwV0m1CgxIKFqTZPoGJrCYjFwlVs3io5AP6Pe2I4rpjfBN4IlsE/ab38Dc2qK6BikQiwWgyQvuL700ktx3XXXYfr06dCb7Ow5SErSbqFqtY7GHaaH8N0u0UlosMq2e9HD7YDDqjfAS8ZAFTesxmFu3rAqXZOhE5dO2YLeMWXQu9iJE+HS4X0NhYcUUPrcG1Ks3t4WfP7FFPT0NEBLGu3H4S7fVdjey5tStXIGAOuH29DR4xUdRVPizV58Y1TGybtq8nHB4bjcv0V0DOoHh9+MJz8aCtunK6FHRrcbQ95+C6akJNFRSKX49BMNmtnsxrBhC4LrLrRic+wMzO9lqVC78p1+looI8HAq1KAcWfMZCmKzRMegfthl6MW8Y9ai45jR0KO0W29lqaCQsFhQSOLdhyAv7ypowWrX5bh517lo97FUqJktANSs5k5QkcAfjRAOzPNzAwi18Eg+XDT+W7ScMAZ6Ej9rFuImnSg6BqkciwWFLD/vCrjd46BmX7rn4662ifBwZqDqVbQF0NzhER1Dk3iOxeCdsnYJEqzxomNQP/kQwCVjVqBxyiHQA9vIkUj91S9FxyANYLGgkEmSAcOHPQSzOQFq9E/3Q1jQOgp8Mlb9jAigfg1P2Y4UHxdvD5rV242zrTyMTU3kHn3lyG/w/amHQsuMLheyHnoQkkUf28hTZPEqQWFhtaairPQ+qElAMuFV90IsauXpuFoxttOA+pYu0TE0LaChNVXRds76L2A1WkXHoAG6rnQZ1p2t0XIhSUi/9x6YM1l6KTxYLChskpImIDv7AqiBV4rFQufzeKN1/4cVkjq1VnO0IuIMLBaDldDZhFPiikTHoEH47ZBlqJp1aPBGXEsS582F89hjRccgDWGxoLAqLPgVnM7hULIeYyoeiXkO/2nnM4daUtEtobaxU3QM7eOIRUhm162DBG3dnOrF7dnL8PmcMYBBG7dOjrFjkfyLX4iOQRqjjZ8OUgyDwYLhwx6G0RgLJeqwFOMe6xP4upPf+lrjq2kTHUEfJP7shKKgsRrjeWCeav0+fTn+e2E5YDJBzYyJicj4/e8hGflEAYUXrxAUdg5HHkqKb4fSNNsOw23SPaju4s5PWjPMY8DaOhaLqNDIs7UizWlpER2BQvB48kq8O2+Yehc7GwzIfOB+mFNTRCchDeIVgiIiLW0aMtLPglLUx5yM+b4bsMXDvZ+0yFHbITqCbnDxdugO3/gFimK5aYSaLYr/Dq9eVATJboPaJF1xOWIOP1x0DNIoFguKmOLiWxAXJ/700g3OStzUPQ87vSwVWlTglVC1kYu2o4bFIixme7nGS+3+ErcGL8zLhxQbA7WIOeIIJF12megYpGEsFhQxBoMVI0c8DqslVViGKte1uLVzOrr8nP6kVSl13aIj6AvXWITFlOqPkWxT59k/9D9vxq7DU3MzILldUDpTaioy7r8PEqczUgTxu4siympNwciRTwZLRrQtcd+Je9uOhJedQrMyfRJWrtshOoauBFgswsLs8+AcS4boGBQGHzg2YsEFCZASFVwUTSZkPvQgTAkKzkiawCsERVxc3EiUFN8Zta8XgIR33I/jidYSsFNoW36DBz6ORkUXp0KFzVnrPoPdqL45+rSvpbbvcc/5MZAUuiA65dpr4aioEB2DdIDFgqIiPf005GTPjfjX8Uk2vORahJdaxU2/ouhIDEioWtMkOobucMQifNy7mjEtbqjoGBQmX1vqccssE6RsZY1ExZ18MhLnXig6BukErxAUNYWFNyAh4aiIff5eQzyeil2Md9uUeYYGhVfZdi96uCA/6rgrVHjN3ryaB+ZpyHeWRtx4jhdSvjJ2/bKXlyP97rtExyAdYbGgqJEkI4YPewQOR37YP3eXKQcP2p/B0g51H1pE/eMMAKtXcbRCCBaLsMpt2oBj3CWiY1AY1Ziace2ZnQgUDxGaw5yVhazH/wCDlTuQUfSwWFBUmc1xGDniqbCezN1mHY47zQ9j5a6wfUpSuPKdfnT0eEXH0KWAxGfXw62ymRsQaE2dqRVXTW+Gf3iRkK9vcDqR/dSTXKxNUcdiQVEXE1OA4cMWhOXbr8l+NG7B7djYzSkxemELADWreSMmCqdChd8hm75CmTNPdAwKs0ZjBy6ZshXe0aXR/cImE7IeXgBrQUF0vy4RiwWJkpQ0AQUF14f0OepiT8dNvddiG0/T1pWKtgCaOzyiY+gWF29HxmwPC5sWtRq6cfGkTegZNyJqXzNt/k2IGT8+al+PaE+8QpAwebmXIDV12qA+dm3cxbi5axbafCwVemJEAPVreMq2SByxiIzJ1R8j1Z4kOgZFQIfkwbwJ1eg8qjziXyvhggsQf9ZZEf86RAfCYkFClZbcDadzYM/kfO36De5sn4Runl+gO2M7Dahv6RIdQ9c4YhEZJr8XM03cJlureiQfLjpiFVqPHxOxrxF7/ESk/DK0mQBEoeIVgoQyGm0YNfKPsNmy+vX+/3Y/gAfbxsAX8WSkRK3VHK0QLcDLRsScue4TOEwO0TEoQrySHxePXYGmk8aG/XPbysqQef/9kAz8+SSx+B1IwlmtySgf9RzM5vgDvo8fRrzu/iMWtoZ/q1pSh4puCbWNnaJj6B5HLCInrqsVp8UWio5BERSQgMvLl2PL9EPD9jlNaWnIeuIJGOz2sH1OosHiFYIUISZmCEaOfAoGg22ft/kkBxa7nsdfW7ltnp75atpERyCusYi4WZtWwsDypnnXli1DzYzQy4XB4UD2E4/DnJoSllxEoeJvL1IMt2tMcBta+SC9Ph5jCh6LXYQP2vYtHKQfwzwGrK1jsVACjlhEVlbzZhzHA/N04deFy/DdzBDKhcGAjN8/AFtplLezJToIXiFIUZKTT0BR0S3BP3eaC3Cv9Ul80cFnSPXOUdshOgL9gGssIm/O9m2iI1CU3Jq7DF/NGRssCQOVesOv4JwwISK5iAaLVwhSnKzMmUgacgtuNz6ANV3c+UnvCrwSqjZy0bZS+DkVKuLKv/8GI+N4uJle3JexHB9dUC7vZtLvj0mYU4mEOXMimotoMFgsSJFG5c3GMQkHXsxN+pFS1y06Au0hAEl0BF2Y3cUzevTksZSVeH/eCMBs/tn3dZ1+OlJuvDEquYgGisWCFOve4ixMSXaJjkECZfokrFy3Q3QM2gMXb0fHCeuWINPBcy30ZGHCt3jjohJItgOvKXSeeCLSb78NksSCT8rEYkGKZZQkPF6Wi6PiY0VHIUHyGzzw8SBERfFz8XZUGAM+zDQkio5BUfaSazVemjcEUkzMPm+LGT8emQ/cD2kAU6aIoo1XCFI0q8GARcPzUe7koVF6kxiQULWmSXQM+gku3o6eM6qXIta87w0madvrzmo8My8TUlzcj39nLy9H1mOPQrJYhGYj+jm8QpDixZiMeHHkEAx1WEVHoSgq2+5Fj5fzzJWGIxbRE9PTjjNiuIhbj953bMAjc5MgJcTDWlyM7KefCp5ZQaR0vEKQKiRaTHh5VAFybHy2Rg+cAWD1Ko5WKBFHLKLrvNoVMEkm0TFIgI9tm/GnK4uR88wfYdxj9IJIyXiFINXItFnw2uhClgsdKN/pR0ePV3QM2g8/LxtRlb7zexzvLhYdgwTIjM3EldPvhik5WXQUon7jFYJUJZvlQvNsAaBmNXeCUipOhYq+OdvqREegKEuLScPCSQuDL4nUhFcIUh2WC22raAugucMjOgYdgB/ckSbahm+pQoWrUHQMipJkezIWnrgwOGJBpDYsFqRKLBfaZEQA9Wt4yraScSqUGJWdvaIjUBQk2BLwzInPICcuR3QUokHhFYJUi+VCe8Z2GlDf0iU6Bh0ET94WY8L6pchxpIuOQRHksrrw9AlPY4h7iOgoRIPGYkGqxnKhLa3VHK1QOq6xEMMQ8OM8ySU6BkVIoi0Rz056FsUJXKhP6sYrBKkey4U2VHRLqG3sFB2DfganQolzavVSxFmcomNQmMkLtBdNXoSi+CLRUYhCxisEaQLLhfr5atpER6B+YLEQx+HpxAxHnugYFEbZzmwsnrwYeS7+fyVt4BWCNIPlQr2GeQxYW8dioQYsFmLN3LAMJgMPzNOCAldBsFRkxGaIjkIUNrxCkKawXKiTo7ZDdATqJx8vG0KltNZjsqtEdAwKUWlCKZ6b/BySHTz8jrSFVwjSZLl4fXQhhjqsoqNQPxR4JVRt5KJtteCIhXhz6mtFR6AQlCeXBw+/i7fFi45CFHa8QpAmZdoseLNiKMbGOURHoZ+RUtctOgINAHeFEq+kfhUOdXGhrxqNSx+Hp054Ck4uwieN4hWCNCvebMJfygtxfGKc6Ch0AJk+CSvX7RAdgwbAH+BlQwkq23eJjkADdEzWMXh84uNwmPmEF2kXrxCkaQ6jAYuG5+PstATRUWg/8hs88PkDomPQAHCNhTIcXfMp8mMyRcegfpqUNwkPTXgIFiPX/5G28QpBmmcySHi4NAdX5qSIjkJ7SAxIqFrTJDoGDRDXWCiDhABmBWJFx6B+OLXwVNx39H0wG8yioxBFHK8QpBu/K8jAbYUZkEQHoaCy7V70eP2iY9AA+fkTpBjTqpcg3sLTuJXs/GHn47bxt8HAtUmkE/xOJ125ODsFfyjLhVnizZFIzgCwehVHK9SIU6GUw9bbhbPsOaJj0H4YJSNuOuwmXDf2Oki83pCO8ApBunN6ajz+NHIIYoz89helfKcfHT1e0TFoEFgslOWc9V/CYuC8fSWJMcfgsYmP4azis0RHIYo6XiFIl45JcOK18kIkmnmCbbTZAkDNau4EpVZcY6EsSR2NONlVLDoG/SDVkRo8TfvIzCNFRyESglcI0q3yOAfeqhgaPFCPoqeiLYDmDo/oGDRIPm43qziVW9aLjkDy+SIJJXjx5BdRnMCiR/rFKwTp2hCHFW9XDEW5k/uKR4MRAdSv4Snbaubj4m3FGbptLca7eTMr0lGZRwVHKlJjUkVHIRKKxYJ0L9VqxhujC3FmarzoKJo3ttOA+pYu0TEoBJwKpUyVrW2iI+jW2cVn49HjHuXBd0QsFkS72YwGPFaWi98NSecPRQS1VnO0Qu24eFuZjtjwOQpjs0XH0BV5C9nrx16P3x32OxgNRtFxiBSBVwiiPVyZm4rnRw6BkztGhV1Ft4Taxk7RMShEnAqlXJU+u+gIumEz2vDgMQ9izrA5oqMQKQrvnoh+4vjEOLw7pghD7FbRUTTFV8OpGlrAxdvKNWXtx0i0ckpnpCXaEvHspGcxMXei6ChEisMrBNF+DI2x4e9jhuLYeKfoKJowzGPA2joWCy3wslgolsXXg7OtmaJjaNrwxOF4+ZSXMSJ5hOgoRIrEKwTRAbjMJrw4agguzkoWHUX1HLUdoiNQmHAqlLKds/5z2IwcbY2EGUUzsPikxUiLSRMdhUixWCyIDsIoSbhtaCYeKsmGReIN1WAUeCVUbeSiba3grlDKFt+5A6fEFYmOoSlWoxW3H3E75h8+HxYjzz0iOhheIYj64dz0RLw2uhDJFp7UPVApdd2iI1AYcSqU8s2uWwuJI0thkRmbiRdOegGnFp4qOgqRKvAKQdRPh7hi8P6YIox0cueV/sr0SVi5bofoGBRGnAqlfEMa1+Mod4noGKp3ROYReOWUV1CaWCo6CpFqsFgQDUCGzYI3Rw/F7IxE0VFUIb/BA58/IDoGhRF3hVKHyp0s9IMlj/ZcOupSPD7xcbisLtFxiFSFVwiiQRymd39xNh4vy0UMz7s4oMSAhKo1TaJjUJh5AxyxUINxtV+hxJkrOobqxFni8NjEx3BF+RXBA/CIaGD4U0M0SKenxuP9sUUojbGJjqJIZdu96PH6RcegMOOIhXpU9ppFR1CVkoSS4FayR2cdLToKkWrxCkEUgkKHLXiY3sz0BNFRFMUZAFav4miFFnGNhXpMXvsxUmycttkf0wqmBRdpZzuzRUchUjUWC6IQ2Y0GPFiSg0dLczg16gflO/3o6PGKjkERwF2h1MPs78W5Fp65cDB2kx03H34z7jzyTthMHH0mChWvEERhMiMtAf8YW4SRsfreNcoWAGpWc+GoVnHEQl1mVH8avHmmA099OrPoTNFRiDSDxYIojAocNrw9ZiguyUrW7e1XRVsAzR0e0TEoQrx+vX5nq5OrqwXTYwtFx1Dcrk+VZZV46eSXMMQ1RHQcIk1hsSAKM4vBgFuHZuJPI4cgyayvA/WMCKB+DU/Z1jKOWKjP7O9XcYejHyTZk/Dk8U/il4f8EmYjF7cThRt/0xBFyMTEOPz7kGIcHR8LvRjbaUB9S5foGBRB3oBRdAQaoJymjTiWB+bhmKxj8Nq01zA+c7zoKESaxWJBFEEpVjNeGVWAO4ZmwqGDhd2t1Ryt0DqeY6FOlU2N0Ct5jcn8w+cHz6dIsHEHP6JI0v6dDpFgkiRhXlYy/nNIMQ53x0CrKrol1DZ2io5BEdbLYqFKYzYvw/C4fOjNqORReG3qa5hRNEN0FCJdYLEgipJcuxX/V16o2dELX02b6AgUBTwgT70qe/RTCk0GE64afRUWT16M7DieTUEULbxCEEWRVkcvhnkMWFvHYqEH3oDoBDRYJ1QvQbo9GVon7/T04skv4uKRF8No4JogomhisSASQGujF47aDtERKEp4QJ56mfxezDRpt1iYDWZcOupSvDr1VZQllomOQ6RLvEIQCaKV0YsCr4SqjVy0rRcsFup2RvWniDE5oDXlyeXBQnFF+RWwGC2i4xDpFq8QRIKpffQipa5bdASKIu4KpW7O7lacFlsArYg1x+J3436H5096HgVu7fy7iNRKfXcxRBqk1tGLTJ+Elet2iI5BUcRioX6zNlXBKKl/7cFx2cfhjelv4OySs4O/Q4lIPBYLIgWOXtxdlAWXSfkX/vwGD3x+rubVExYL9cts3oyJKj4wL8WeggXHLsDDxz2M1JhU0XGIaA8sFkQKIz/zdkFmEpaMK8HZaQlQ6m1cYkBC1Zom0TEoylgstGFO41aojQQJZxWdhTdOfQMTcyeKjkNE+8FiQaRQyRYzHi7NwVsVQzEi1g6lKdvuRY/XLzoGRRkXb2vDyLoVGBVXoKotZBeftBg3HX4TnBan6DhEdAC8QhAp3FhXDN4fWxScHuVWyPQoZwBYvYqjFXrU6+eIhVbM6fJBDVvIXj7qcvx16l8xOmW06DhE9DNYLIhUwPDD9Kil40oxM1389KjynX509HgFpyARejkVSjMmrluCLEcalGpizkT8bfrfcFn5ZTAbzaLjEFE/sFgQqUiixYQHS3LwTsVQjHSKmR5lCwA1q7kTlF55OWKhGYaAH+cZ4qE0JQkleHbSs1gwYQGy47JFxyGiAWCxIEU59thj8Ytf/GKfv1+0aBHcbnfwz7fccktwgfOll1661/ssX748+Pe1tbXB1+WX8uvy3/f366hFhSsG740pwn1FWYiP8vSoirYAmjs8Uf2apBxcvK0tp1cvhdMcCyVIsifh1vG34pVTXsEhaYeIjkNEg8BiQapks9mwcOFCrFu3DnqeHlUpT486rBSzMxKj8sNsRAD1a3jKtp5xKpS2OHo6cGZMvtAMVqMV80bMw9unvY3Th54Og8RbEyK14k8vqVJxcTEmTJiA3/72t9C7BLMJ9xdn4+9ji3BUfGSfeRzbaUB9S1dEvwYpWy93hdKcmRuXwySZhHztSXmT8LdT/4ZrKq5BjFk9h4MS0f7xCkGqdc899+C1117DV199JTqKIoxyOvBqeSH+MqoAoyK0/qK1mqMVesddobQnrWULTozygXnDEodh8eTFeOCYB5AZmxnVr01EkSPmKQqiMKioqMBZZ52FG264Af/6178O+H7jx4+HwbB3h+7q6kJ5eTm06OgEJ46KL8Jb21tx74Z61HT1hOXzVnRLWNXYGZbPRerl4VQoTaps2Ix3rdE5NfuaMddg6pCpwTVwRKQtHLEgVbvjjjvw8ccf4x//+McB3+eVV14JLuDe8zF27FhomXzBnpbixoeHluCB4mykW0PfqtFX0xaWbKRuPp6JqEnDtn6LMa6hEfv88qF2V5RfgbdOewvTCqZpplQ0NDTgmmuuQWFhYXDtX2pqKo444gg88cQT2LVrV/B98vLysGDBgh8/5qev76lv05G+h9PpxLBhw3DFFVfoek0hqQdHLEhR4uLi0Nraus/ft7S0wOVy7fP3BQUFuOiii3DjjTcGF3PvT3Z2dvCX/p7sduWdZB0JJoOEWRmJOCM1HgvrtuOxzY1o8Q78UKxhHgPW1rFYEBdva9mczh58HebP6TQ7MatsFmaXzdbcidkbNmwIlgh5x8K77roLI0aMgNVqRVVVFZ5++mlkZmZi2rRpg/rcH3zwQbBQyOVE/nwPP/wwRo0ahbfeegsTJ04M+7+FKFxYLEhxi7L3N/qwbNkyFBUV7fdj5s+fHywYL7/8chQSqpPdaMCVuanB3aP+sLkRf6xrQpe//089O2o7IpqP1MPHxduadey6pcgdPg6bOreG/LnkhdjnlZ6HyrJKuKz7PimkBZdffjlMJlNwnV9MzP8Wng8ZMgTTp09HIBAY9OdOTExEWlraj59v6tSpwUIxd+5c1NTUwGiM7jbjRP3FKwQpymWXXYbq6mpcffXVWLlyJdauXYsHH3wQf/7zn3Hdddft92Pkoef/9//+Hx555JGo51Ubl9mE3xRk4LPDSlGZkQhTP558LvBKqNrIRdv0PwGJNzVaJCGAWYgL6XM4TI7g1rHvnf4erhp9lWZLxY4dO4JPgslTlPYsFXsK53QveZ2gPOVq06ZN+PrrcI8rEYUPiwUpivzMzEcffYQ1a9bg+OOPx7hx4/CXv/wFr776KiZPnnzAj7v++usRG6uMQ57UINVqxn3F2fj40FKclRZ/0IKRUtcdzWikBgYWC62aXr0ELsvAy4XdZMcFwy/Ae2e8F9w61m3bfaCpVq1fvz44IiGPsu8pKSkpeC2SH/LGIuFUUrJ7566+Q2CJlIhToUhxDjnkkIMuxpZP3pYfP12bsX379r3+Tl4gd6Ch6P/+979hSqtu+Q4rHinNxfV5acEpUi83NKPH/7//Zpk+CSvX7RCakRSIB5hplt2zC2fZc/FHT1W/3t9mtOGs4rNw4fALkWhPhN598cUX8Pv9OO+889DTE54d+fr0Xc+0svCdtInFgoiQY7fi3uJs/L+8NDz+fSNe2LoDu3x+5Dd48NUeRYMoiFOhNO3cDV9jUXIMev29Bz0te0bRDMwdMRdJ9iTojbwhiHyDL0/X/emoe6Q2CFm9enXwZX6+2JPSiQ6GTzsR0V5TpG4tzMRXh5fh+pwUbNq07w5dRPjJuTCkLcltDTjJtfcUnz7yzk5zh8/F30//O2449AZdloq+xdUnnHACHnvsMXR2Rv58H3kURF5HKJeK0aNHR/zrEQ0WRyyIaB8JZhOuL8jAZden4OUvv8ezSzZiS0uX6FikoMXbnIyhbZVbN+LNPZ50T49Jx6zSWTij6Izgjk8EPP7448HtZuVzkeTpuSNHjgwusv7yyy+D6wTHjBlzwI/dsmVL8EylPeXm5u61OFw+I0Pebvbbb78NnnshT7N65513uCMUKZoUCGU/NCLSBa/Pj7dX1uOpjzZgdT3Ps9C7DfFXwdDFtTdaN6/8eLQYJJw//HxMzpsMk4HPRf5UfX198AwL+Ya/rq4ueI5FWVkZZsyYEdyO1uFwBNf7/eIXvwg+ZPLr8u5OP/XCCy/gyCOP3Guqk/zxcuGYMGECrr322n3OZCJSGhYLIhqQj6q346mParB0PW8s9WpDwtUw7GoSHYMiRgKGnojWI6+GK/dI0WGISEVYLIhoUL7d0ooXPt2EN1dsRVfvwE/zJvWqSbwWxs5tomNQuFligVHnAuMuBZL4zDgRDRyLBRGFpK27F298swUvfb4ZaxraRcehKKhJuh7GjtBPZyaFcOcAh14MVFQCNm0eaEdE0cFiQURh8/WmnXjx8014Z2U9erx+0XEoQtYn/wqm9jrRMSjUs0gKjgMq5gAlU3joIRGFBYsFEYVd665evLasDi99sRnrGztEx6EwW5fya5jb9l18SirgzgVGzwbKZwKuTNFpiEhjWCyIKKI+37AjWDD+/m0DPBzF0IR1qb+DuXWD6BjUXyYbUDp1d6HIP1o+ull0IiLSKBYLIoqK5k4PXvt69yjGxqbIHyhFkVOddhMsLTWiY9DPSRu5e93EiDMBe7zoNESkAywWRBRV8q+cT2t24MUvNuODVdu4FkOF1qbfAuvOatExaH/kxdcjzgIqZgPpo0SnISKd4Wk3RBRVkiRhfGFS8NHe3YsPVm/D2yvq8fG6Jnh8LBlqEJAX/pKCSED+UcDoyt1Tnsw20YGISKc4YkFEitDa1Yv3v2sInvD9yfomeP381aRUqzPvhH3Hd6Jj6JwEZI0Fyk4Fyqbt3jKWiEgwFgsiUuR6jPe+bcA7VVvx2YZm+FgyFGVV1t1wNFWJjqE/8khR9jigbDpQOo27OhGR4rBYEJGibW/vwXvf1uOtlfX4qrYZ7BjifZd1L2KaVoiOoZ8ykTMeGHbq7mlOzjTRiYiIDojFgohUY1tbd/DwvXeq6rFs807wt5cY32bfj9jt34iOoV2SEcg78oeRialAbIroRERE/cJiQUSqtKWlC+9/24APq7fj84070N3Lhd/RUpXzIJyNX4mOoS0G0+4zJuQyUTIViEkUnYiIaMBYLIhI9bp7ffiythkfVW/HR9VNWLutXXQkTVuZuwBx274QHUP9EoYAQyYABcftLhW2ONGJiIhCwmJBRJrT0NqNj9bJJWM7lqxvQsuuXtGRNGVF7iNwbftMdAx1njEhFwi5SMiP+DzRiYiIworFgog0ze8PYEVdS3AkQy4by79v4S5TIVqe9xjcDZ+IjqGO6U2ZY/5XJOQ/G4yiUxERRQyLBRHp7rwM+ZyM3SMaTcG1GjQwy/IeR0LDEtExlEkehegrEsHpTS7RiYiIoobFgoh0bfOOXfh6czO+3rQTX9XuRPW2dm5p+zO+zn8KifUfio6hjK1gU8p2ny0hP3LGcXoTEemaSXQAIiKRchIdwcdpo7OCr3f0ePHN5p3BoiE/lm9uQXuPV3RMRfHLN9R6ZI3bPZ2pr0RkHQJYnaJTEREpBosFEdEeYq0mHDU0OfiQyYO6Nds7sOL7Vqysa8GKulasqm+Dx6vf7W0D0EGxMFqA1OG7i0TfI2koIEmikxERKRanQhERDVCvz4819e3BReFy2Vhd3x4sH7s8PujBZ0OeQ9rWf0Iz5HUQyaVAcjGQNgLIqNj90mQRnYyISFU4YkFENEBmowEjslzBB5Ab/Dv5OZqtrd2oaezAevmxffdL+fUdnR5oSUCtU6Hs8UByyf8eKT+8dKaJTkZEpAksFkREYSBJEjLd9uDj6KLd06j6tOzy7C4be5QOeYSjbmcX1Dhm7Ff6VCh7ApDywwhE30hEsECkik5GRKRpLBZERBHmdlgwNi8h+PjpieFywZDLhrw71bb2bmxr60Fj2+6X2zt6FHnmhtDF2/LZEM50wJUFxGUCrkwgLuuHl5mAOwdw7P3fmYiIooPFgohIEJvZiGEZruDjQIf7NXX0BEvGNrls7FU8utHww5+bd3miOvLhRyQOeZN277Akr3eISd6jMPSVhh9exqYBBoWPmBAR6RSLBRGRQhkMElLibMHHCLgOupi8sb0HTe096OzxBheRd3p2vww+erzo9PjQ5el7+cPbe3zY1bv7Zd/7y2/zBQLybf5e07yCL3943W8wA+aY3aMHRhMgv240//C6GTBZAatrd0k46CPuf3+W35+FgYhI1bgrFBERERERhYxPDxERERERUchYLIiIiIiIKGQsFkREREREFDIWCyIiIiIiChmLBRERERERhYzFgoiIiIiIQsZiQUREREREIWOxICIiIiKikLFYEBERERFRyFgsiIiIiIgoZCwWREREREQUMhYLIiIiIiIKGYsFERERERGFjMWCiIiIiIhCxmJBREREREQhY7EgIiIiIqKQsVgQkaJ9+umnMBqNmDJlyj5v83g8uO+++zBq1Cg4HA4kJSXhiCOOwHPPPYfe3t7g+5x//vmQJAn33HPPXh/7xhtvBP+eKJz6vt/kh9lsRmpqKk444QQ8++yz8Pv9P75fXl4eFixY8OPrK1aswLRp05CSkgKbzRZ8+9lnn43GxkZB/xIiooFjsSAiRVu4cCGuuuoqfPTRR9i6detepWLSpEnBwnDxxRfjk08+wRdffIErrrgCjz76KL777rsf31e+Ubv33nuxc+dOQf8K0pPJkyejvr4etbW1+Pvf/44JEybgmmuuwSmnnAKv17vP+2/fvh0TJ05EQkIC3n//faxevTpYjjMyMtDZ2Snk30BENBimQX0UEVEUdHR04JVXXsFXX32FhoYGLFq0CL/5zW+Cb5Of7ZXLhvy20aNH//gxQ4YMwYwZM4LFo8/xxx+P9evX4+677w6OcBBFktVqRVpaWvDPmZmZqKiowGGHHRYsD/L38Lx58/Z6/6VLl6K1tRXPPPMMTKbdl+X8/PxgISEiUhOOWBCRYv3lL39BSUkJiouLMWvWrOB0kkAgEHzbiy++GCwMe5aKPvIUlJiYmB9fl6dS3XXXXcGRjLq6uqj+G4hkxx13XHDK3v/93//t8za5hMgjGa+//vqP399ERGrEYkFEip4GJReKvukl8rO6H374YfD1devWBUtHf5122mkoLy/HzTffHLG8RAcjf7/K06N+Sh7NkEfiZs6cGVwndNJJJ+H+++/Htm3bhOQkIhosFgsiUqS1a9cG10yce+65wdflKSLyYla5bMgG88yuvM5i8eLFwTnsRNEmf88eaMOAO++8Mzjd78knn8SwYcOCL+UiUlVVFfWcRESDxWJBRIokFwh5eoi8gFUuFfLjiSeewGuvvRYcuSgqKsKaNWsG9DmPPvro4ILvX//61xHLTXQgcqGV104cSGJiYnB90AMPPBB8X/l7X/4zEZFasFgQkeLIheL555/H73//eyxfvvzHh7wlp3yz9ec//zk4beSDDz7AN998s8/Hy1vNHmg3HXkXqbfeeiu4jS1RtPz73/8Ojj6cccYZ/Xp/i8WCgoIC7gpFRKrCXaGISHHefvvt4Nawc+fOhcvl2utt8o2ZPJqxZMkSvPPOO8Gddm6//XYceeSRcDqdwV2i5ClP8vvIayp+asSIETjvvPPwyCOPRPFfRHrS09MTnNbk8/mC6yTee++94I5k8nazlZWV+/1+f/nll3HOOecER+LkKVNy+X333XeD284SEakFiwURKY5cCuQdn35aKvqKhbxlrLwG45///CceeughPPXUU7j++uuDh+SVlpbi6quvxvDhww/4+W+77bbgNrZEkSAXifT09OD0vfj4+OBuUHKRnTNnDgyGfScKlJWVBb93r7vuOnz//ffB7WqHDh0a3H529uzZQv4NRESDIQW4tx0REREREYWIayyIiIiIiChkLBZERERERBQyFgsiIiIiIgoZiwUREREREYWMxYKIiIiIiELGYkFERERERCFjsSAiIiIiopCxWBARERERUchYLIiIiIiIKGQsFkREREREFDIWCyIiIiIiChmLBRERERERhYzFgoiIiIiIQsZiQUREREREIWOxICIiIiKikLFYEBERERFRyFgsiIiIiIgoZCwWREREREQUMhYLIiIiIiIKGYsFERERERGFjMWCiIiIiIhCxmJBREREREQhY7EgIiIiIqKQsVgQEREREVHIWCyIiIiIiChkLBZERERERBQyFgsiIiIiIgoZiwUREREREYWMxYKIiIiIiELGYkFERERERCFjsSAiIiIiopCxWBARERERUchYLIiIiIiIKGQsFkREREREFDIWCyIiIiIiChmLBRERERERhYzFgoiIiIiIQsZiQUREREREIWOxICIiIiKikLFYEBERERFRyFgsiIiIiIgoZCwWREREREQUMhYLIiIiIiIKGYsFERERERGFjMWCiIiIiIhCxmJBREREREQhY7EgIiIiIqKQsVgQEREREVHIWCyIiIiIiChkLBZERERERBQyFgsiIiIiIgoZiwUREREREYWMxYKIiIiIiELGYkFERERERCFjsSAiIiIiopCxWBARERERUchYLIiIiIiIKGQsFkREREREFDIWCyIiIiIiQqj+Px/SLM3/kxx8AAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
-      ],
-      "image/png": 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"
+      ]
      },
      "metadata": {},
-     "output_type": "display_data",
-     "jetTransient": {
-      "display_id": null
-     }
+     "output_type": "display_data"
     }
    ],
-   "execution_count": 27
+   "source": [
+    "pd.Series(weights).plot.pie(figsize=(10,10));"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -1457,45 +1193,45 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 77,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:10:59.357800Z",
+     "start_time": "2025-11-12T08:10:59.354334Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "JtA8KzWp9nzM",
-    "outputId": "cd007325-fa24-4f41-f8fa-3d149ae7fc23",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:10:59.357800Z",
-     "start_time": "2025-11-12T08:10:59.354334Z"
-    }
+    "outputId": "cd007325-fa24-4f41-f8fa-3d149ae7fc23"
    },
-   "source": [
-    "# O(N^2) loop not a good idea in a coding interview :)\n",
-    "for sector in set(sector_mapper.values()):\n",
-    "    total_weight = 0\n",
-    "    for t,w in weights.items():\n",
-    "        if sector_mapper[t] == sector:\n",
-    "            total_weight += w\n",
-    "    print(f\"{sector}: {total_weight:.3f}\")"
-   ],
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Consumer Discretionary: 0.100\n",
-      "Consumer Staples: 0.100\n",
-      "Healthcare: 0.144\n",
-      "Tech: 0.050\n",
-      "Energy: 0.000\n",
-      "Aerospace: 0.038\n",
-      "Misc: 0.151\n",
-      "Auto: 0.067\n",
-      "Media: 0.000\n",
-      "Financial Services: 0.350\n"
+      "Misc: 0.072\n",
+      "Tech: 0.070\n",
+      "Energy: 0.067\n",
+      "Auto: 0.121\n",
+      "Consumer Staples: 0.128\n",
+      "Financial Services: 0.135\n",
+      "Aerospace: 0.061\n",
+      "Media: 0.065\n",
+      "Healthcare: 0.181\n",
+      "Consumer Discretionary: 0.100\n"
      ]
     }
    ],
-   "execution_count": 28
+   "source": [
+    "# O(N^2) loop not a good idea in a coding interview :)\n",
+    "for sector in set(sector_mapper.values()):\n",
+    "    total_weight = 0\n",
+    "    for t,w in weights.items():\n",
+    "        if sector_mapper[t] == sector:\n",
+    "            total_weight += w\n",
+    "    print(f\"{sector}: {total_weight:.3f}\")"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -1510,108 +1246,108 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 78,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:10:59.468831Z",
+     "start_time": "2025-11-12T08:10:59.450933Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "sKantkrg9nzM",
-    "outputId": "3b60679f-80ef-4ec7-e029-989ef9d27f14",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:10:59.468831Z",
-     "start_time": "2025-11-12T08:10:59.450933Z"
-    }
+    "outputId": "3b60679f-80ef-4ec7-e029-989ef9d27f14"
    },
-   "source": [
-    "ef = EfficientFrontier(mu, S)\n",
-    "ef.add_sector_constraints(sector_mapper, sector_lower, sector_upper)\n",
-    "ef.efficient_risk(target_volatility=0.20)\n",
-    "weights = ef.clean_weights()\n",
-    "weights"
-   ],
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "OrderedDict([('ACN', 0.02674),\n",
-       "             ('AMZN', 0.15123),\n",
-       "             ('COST', 0.1),\n",
-       "             ('DIS', 0.0),\n",
-       "             ('F', 0.0),\n",
-       "             ('GILD', 0.06766),\n",
-       "             ('JPM', 0.06285),\n",
-       "             ('KO', 0.0),\n",
-       "             ('LUV', 0.01736),\n",
-       "             ('MA', 0.37416),\n",
-       "             ('MSFT', 0.05),\n",
+       "OrderedDict([('MSFT', 0.10182),\n",
+       "             ('AMZN', 0.0),\n",
+       "             ('KO', 0.1),\n",
+       "             ('MA', 0.28827),\n",
+       "             ('COST', 0.0),\n",
+       "             ('LUV', 0.0),\n",
+       "             ('XOM', 0.0),\n",
        "             ('PFE', 0.0),\n",
-       "             ('TSLA', 0.15),\n",
+       "             ('JPM', 0.0),\n",
        "             ('UNH', 0.0),\n",
-       "             ('XOM', 0.0)])"
+       "             ('ACN', 0.50991),\n",
+       "             ('DIS', 0.0),\n",
+       "             ('GILD', 0.0),\n",
+       "             ('F', 0.0),\n",
+       "             ('TSLA', 0.0)])"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 78,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 29
+   "source": [
+    "ef = EfficientFrontier(mu, S)\n",
+    "ef.add_sector_constraints(sector_mapper, sector_lower, sector_upper)\n",
+    "ef.efficient_risk(target_volatility=0.20)\n",
+    "weights = ef.clean_weights()\n",
+    "weights"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 79,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:10:59.515789Z",
+     "start_time": "2025-11-12T08:10:59.512558Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "46ylv28y9nzM",
-    "outputId": "de8f0548-437e-4997-cc46-d927d5f61df2",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:10:59.515789Z",
-     "start_time": "2025-11-12T08:10:59.512558Z"
-    }
+    "outputId": "de8f0548-437e-4997-cc46-d927d5f61df2"
    },
-   "source": [
-    "num_small = len([k for k in weights if weights[k] <= 1e-4])\n",
-    "print(f\"{num_small}/{len(ef.tickers)} tickers have zero weight\")"
-   ],
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "6/15 tickers have zero weight\n"
+      "11/15 tickers have zero weight\n"
      ]
     }
    ],
-   "execution_count": 30
+   "source": [
+    "num_small = len([k for k in weights if weights[k] <= 1e-4])\n",
+    "print(f\"{num_small}/{len(ef.tickers)} tickers have zero weight\")"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 80,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:10:59.551022Z",
+     "start_time": "2025-11-12T08:10:59.538041Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "3HWpBJxZ9nzM",
-    "outputId": "cae10c97-978e-40ee-8dd5-796d9635f53f",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:10:59.551022Z",
-     "start_time": "2025-11-12T08:10:59.538041Z"
-    }
+    "outputId": "cae10c97-978e-40ee-8dd5-796d9635f53f"
    },
-   "source": [
-    "ef.portfolio_performance(verbose=True);"
-   ],
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Expected annual return: 26.2%\n",
+      "Expected annual return: 20.2%\n",
       "Annual volatility: 20.0%\n",
-      "Sharpe Ratio: 1.31\n"
+      "Sharpe Ratio: 1.01\n"
      ]
     }
    ],
-   "execution_count": 31
+   "source": [
+    "ef.portfolio_performance(verbose=True);"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -1624,83 +1360,83 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 81,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:10:59.681090Z",
+     "start_time": "2025-11-12T08:10:59.626034Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "wiaa_L2u9nzN",
-    "outputId": "0adbf717-faaa-4142-9fe3-6ca9368cc23f",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:10:59.681090Z",
-     "start_time": "2025-11-12T08:10:59.626034Z"
-    }
+    "outputId": "0adbf717-faaa-4142-9fe3-6ca9368cc23f"
    },
-   "source": [
-    "from pypfopt import objective_functions\n",
-    "\n",
-    "# You must always create a new efficient frontier object\n",
-    "ef = EfficientFrontier(mu, S)\n",
-    "ef.add_sector_constraints(sector_mapper, sector_lower, sector_upper)\n",
-    "ef.add_objective(objective_functions.L2_reg, gamma=0.1)  # gamma is the tuning parameter\n",
-    "ef.efficient_risk(0.2)\n",
-    "weights = ef.clean_weights()\n",
-    "weights"
-   ],
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "OrderedDict([('ACN', 0.06969),\n",
-       "             ('AMZN', 0.16698),\n",
-       "             ('COST', 0.08443),\n",
-       "             ('DIS', 0.00642),\n",
-       "             ('F', 0.0),\n",
-       "             ('GILD', 0.07658),\n",
-       "             ('JPM', 0.09307),\n",
-       "             ('KO', 0.01557),\n",
-       "             ('LUV', 0.04691),\n",
-       "             ('MA', 0.21322),\n",
-       "             ('MSFT', 0.05),\n",
+       "OrderedDict([('MSFT', 0.2),\n",
+       "             ('AMZN', 0.0),\n",
+       "             ('KO', 0.07024),\n",
+       "             ('MA', 0.25408),\n",
+       "             ('COST', 0.02976),\n",
+       "             ('LUV', 0.0),\n",
+       "             ('XOM', 0.0),\n",
        "             ('PFE', 0.0),\n",
-       "             ('TSLA', 0.15),\n",
-       "             ('UNH', 0.02714),\n",
-       "             ('XOM', 0.0)])"
+       "             ('JPM', 0.0),\n",
+       "             ('UNH', 0.0),\n",
+       "             ('ACN', 0.29597),\n",
+       "             ('DIS', 0.0),\n",
+       "             ('GILD', 0.0),\n",
+       "             ('F', 0.14995),\n",
+       "             ('TSLA', 0.0)])"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 81,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 32
+   "source": [
+    "from pypfopt import objective_functions\n",
+    "\n",
+    "# You must always create a new efficient frontier object\n",
+    "ef = EfficientFrontier(mu, S)\n",
+    "ef.add_sector_constraints(sector_mapper, sector_lower, sector_upper)\n",
+    "ef.add_objective(objective_functions.L2_reg, gamma=0.1)  # gamma is the tuning parameter\n",
+    "ef.efficient_risk(0.2)\n",
+    "weights = ef.clean_weights()\n",
+    "weights"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 82,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:10:59.724312Z",
+     "start_time": "2025-11-12T08:10:59.719794Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "G0ZO5l4D9nzN",
-    "outputId": "aefa431d-90b2-493b-8232-8dc8c8213212",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:10:59.724312Z",
-     "start_time": "2025-11-12T08:10:59.719794Z"
-    }
+    "outputId": "aefa431d-90b2-493b-8232-8dc8c8213212"
    },
-   "source": [
-    "num_small = len([k for k in weights if weights[k] <= 1e-4])\n",
-    "print(f\"{num_small}/{len(ef.tickers)} tickers have zero weight\")"
-   ],
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "3/15 tickers have zero weight\n"
+      "9/15 tickers have zero weight\n"
      ]
     }
    ],
-   "execution_count": 33
+   "source": [
+    "num_small = len([k for k in weights if weights[k] <= 1e-4])\n",
+    "print(f\"{num_small}/{len(ef.tickers)} tickers have zero weight\")"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -1713,115 +1449,112 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 83,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:10:59.763277Z",
+     "start_time": "2025-11-12T08:10:59.743844Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "hIdHgQnE9nzO",
-    "outputId": "76b74cec-dbad-4278-ad5c-6a3bb99b404d",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:10:59.763277Z",
-     "start_time": "2025-11-12T08:10:59.743844Z"
-    }
+    "outputId": "76b74cec-dbad-4278-ad5c-6a3bb99b404d"
    },
-   "source": [
-    "ef = EfficientFrontier(mu, S)\n",
-    "ef.add_sector_constraints(sector_mapper, sector_lower, sector_upper)\n",
-    "ef.add_objective(objective_functions.L2_reg, gamma=1)  # gamma is the tuning parameter\n",
-    "ef.efficient_risk(0.2)\n",
-    "weights = ef.clean_weights()\n",
-    "weights"
-   ],
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "OrderedDict([('ACN', 0.05848),\n",
-       "             ('AMZN', 0.13376),\n",
-       "             ('COST', 0.06437),\n",
-       "             ('DIS', 0.06074),\n",
-       "             ('F', 0.05798),\n",
-       "             ('GILD', 0.07793),\n",
-       "             ('JPM', 0.08902),\n",
-       "             ('KO', 0.03563),\n",
-       "             ('LUV', 0.06954),\n",
-       "             ('MA', 0.0797),\n",
-       "             ('MSFT', 0.06526),\n",
-       "             ('PFE', 0.03375),\n",
-       "             ('TSLA', 0.09202),\n",
-       "             ('UNH', 0.05435),\n",
-       "             ('XOM', 0.02747)])"
+       "OrderedDict([('MSFT', 0.10696),\n",
+       "             ('AMZN', 0.0531),\n",
+       "             ('KO', 0.05737),\n",
+       "             ('MA', 0.11059),\n",
+       "             ('COST', 0.05332),\n",
+       "             ('LUV', 0.03513),\n",
+       "             ('XOM', 0.07068),\n",
+       "             ('PFE', 0.03073),\n",
+       "             ('JPM', 0.0622),\n",
+       "             ('UNH', 0.04562),\n",
+       "             ('ACN', 0.11478),\n",
+       "             ('DIS', 0.06656),\n",
+       "             ('GILD', 0.04297),\n",
+       "             ('F', 0.09996),\n",
+       "             ('TSLA', 0.05003)])"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 83,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 34
+   "source": [
+    "ef = EfficientFrontier(mu, S)\n",
+    "ef.add_sector_constraints(sector_mapper, sector_lower, sector_upper)\n",
+    "ef.add_objective(objective_functions.L2_reg, gamma=1)  # gamma is the tuning parameter\n",
+    "ef.efficient_risk(0.2)\n",
+    "weights = ef.clean_weights()\n",
+    "weights"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 84,
    "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/",
-     "height": 575
-    },
-    "id": "p0DzMHim9nzO",
-    "outputId": "baaaab0c-4bee-4883-c0fb-70b4d650ef90",
     "ExecuteTime": {
      "end_time": "2025-11-12T08:10:59.843799Z",
      "start_time": "2025-11-12T08:10:59.793776Z"
-    }
+    },
+    "colab": {
+     "base_uri": "https://localhost:8080/",
+     "height": 575
+    },
+    "id": "p0DzMHim9nzO",
+    "outputId": "baaaab0c-4bee-4883-c0fb-70b4d650ef90"
    },
-   "source": [
-    "pd.Series(weights).plot.pie(figsize=(10, 10));"
-   ],
    "outputs": [
     {
      "data": {
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
-      ],
-      "image/png": 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"
+      ]
      },
      "metadata": {},
-     "output_type": "display_data",
-     "jetTransient": {
-      "display_id": null
-     }
+     "output_type": "display_data"
     }
    ],
-   "execution_count": 35
+   "source": [
+    "pd.Series(weights).plot.pie(figsize=(10, 10));"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 85,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:10:59.872787Z",
+     "start_time": "2025-11-12T08:10:59.861601Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "zFLNfMLr9nzO",
-    "outputId": "69c1cead-6233-465a-a3c3-6c5def23d624",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:10:59.872787Z",
-     "start_time": "2025-11-12T08:10:59.861601Z"
-    }
+    "outputId": "69c1cead-6233-465a-a3c3-6c5def23d624"
    },
-   "source": [
-    "ef.portfolio_performance(verbose=True);"
-   ],
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Expected annual return: 24.0%\n",
-      "Annual volatility: 19.5%\n",
-      "Sharpe Ratio: 1.23\n"
+      "Expected annual return: 14.3%\n",
+      "Annual volatility: 8.4%\n",
+      "Sharpe Ratio: 1.70\n"
      ]
     }
    ],
-   "execution_count": 36
+   "source": [
+    "ef.portfolio_performance(verbose=True);"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -1845,142 +1578,139 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 86,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:10:59.900594Z",
+     "start_time": "2025-11-12T08:10:59.884843Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "XB4Cw8at9nzO",
-    "outputId": "26404432-1324-435e-cde0-c28a242a571e",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:10:59.900594Z",
-     "start_time": "2025-11-12T08:10:59.884843Z"
-    }
+    "outputId": "26404432-1324-435e-cde0-c28a242a571e"
    },
-   "source": [
-    "# Must have no weight bounds to allow shorts\n",
-    "ef = EfficientFrontier(mu, S, weight_bounds=(None, None))\n",
-    "ef.add_objective(objective_functions.L2_reg)\n",
-    "ef.efficient_return(target_return=0.07, market_neutral=True)\n",
-    "weights = ef.clean_weights()\n",
-    "weights"
-   ],
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "OrderedDict([('ACN', -0.02187),\n",
-       "             ('AMZN', 0.16537),\n",
-       "             ('COST', -0.05722),\n",
-       "             ('DIS', -0.01548),\n",
-       "             ('F', 0.03129),\n",
-       "             ('GILD', 0.0305),\n",
-       "             ('JPM', 0.06344),\n",
-       "             ('KO', -0.13748),\n",
-       "             ('LUV', 0.00881),\n",
-       "             ('MA', 0.03921),\n",
-       "             ('MSFT', -0.00471),\n",
-       "             ('PFE', -0.08735),\n",
-       "             ('TSLA', 0.12025),\n",
-       "             ('UNH', -0.02798),\n",
-       "             ('XOM', -0.10678)])"
+       "OrderedDict([('MSFT', 0.12604),\n",
+       "             ('AMZN', -0.04238),\n",
+       "             ('KO', -0.02687),\n",
+       "             ('MA', 0.1375),\n",
+       "             ('COST', -0.04199),\n",
+       "             ('LUV', -0.10258),\n",
+       "             ('XOM', 0.01527),\n",
+       "             ('PFE', -0.11796),\n",
+       "             ('JPM', -0.01215),\n",
+       "             ('UNH', -0.06591),\n",
+       "             ('ACN', 0.15159),\n",
+       "             ('DIS', 0.00214),\n",
+       "             ('GILD', -0.07643),\n",
+       "             ('F', 0.10609),\n",
+       "             ('TSLA', -0.05236)])"
       ]
      },
-     "execution_count": 37,
+     "execution_count": 86,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 37
+   "source": [
+    "# Must have no weight bounds to allow shorts\n",
+    "ef = EfficientFrontier(mu, S, weight_bounds=(None, None))\n",
+    "ef.add_objective(objective_functions.L2_reg)\n",
+    "ef.efficient_return(target_return=0.07, market_neutral=True)\n",
+    "weights = ef.clean_weights()\n",
+    "weights"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 87,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:10:59.922466Z",
+     "start_time": "2025-11-12T08:10:59.912001Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "Uf3oUKFP9nzO",
-    "outputId": "aa726cf0-1200-4fa9-f61d-ca5807679a34",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:10:59.922466Z",
-     "start_time": "2025-11-12T08:10:59.912001Z"
-    }
+    "outputId": "aa726cf0-1200-4fa9-f61d-ca5807679a34"
    },
-   "source": [
-    "ef.portfolio_performance(verbose=True);"
-   ],
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "Expected annual return: 7.0%\n",
-      "Annual volatility: 11.1%\n",
-      "Sharpe Ratio: 0.63\n"
+      "Annual volatility: 9.9%\n",
+      "Sharpe Ratio: 0.71\n"
      ]
     }
    ],
-   "execution_count": 38
+   "source": [
+    "ef.portfolio_performance(verbose=True);"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 88,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:11:00.010248Z",
+     "start_time": "2025-11-12T08:10:59.940068Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 374
     },
     "id": "4rrQKk1Q9nzP",
-    "outputId": "95a52da6-37ed-4dad-cd5b-2701affa6695",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:11:00.010248Z",
-     "start_time": "2025-11-12T08:10:59.940068Z"
-    }
+    "outputId": "95a52da6-37ed-4dad-cd5b-2701affa6695"
    },
-   "source": [
-    "pd.Series(weights).plot.barh(figsize=(10,6));"
-   ],
    "outputs": [
     {
      "data": {
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x600 with 1 Axes>"
-      ],
-      "image/png": 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"
+      ]
      },
      "metadata": {},
-     "output_type": "display_data",
-     "jetTransient": {
-      "display_id": null
-     }
+     "output_type": "display_data"
     }
    ],
-   "execution_count": 39
+   "source": [
+    "pd.Series(weights).plot.barh(figsize=(10,6));"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 89,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:11:00.025904Z",
+     "start_time": "2025-11-12T08:11:00.017340Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "YwR1iKqv9nzP",
-    "outputId": "478e0b8b-c1ed-4826-a1bc-1ad928927123",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:11:00.025904Z",
-     "start_time": "2025-11-12T08:11:00.017340Z"
-    }
+    "outputId": "478e0b8b-c1ed-4826-a1bc-1ad928927123"
    },
-   "source": [
-    "print(f\"Net weight: {sum(weights.values()):.2f}\")"
-   ],
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Net weight: -0.00\n"
+      "Net weight: 0.00\n"
      ]
     }
    ],
-   "execution_count": 40
+   "source": [
+    "print(f\"Net weight: {sum(weights.values()):.2f}\")"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -1997,114 +1727,111 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 90,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:11:00.156565Z",
+     "start_time": "2025-11-12T08:11:00.050782Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 0
     },
     "id": "8FsS5Yqu9nzP",
-    "outputId": "94948fd4-598a-4fa7-a41a-371fbda43f43",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:11:00.156565Z",
-     "start_time": "2025-11-12T08:11:00.050782Z"
-    }
+    "outputId": "94948fd4-598a-4fa7-a41a-371fbda43f43"
    },
-   "source": [
-    "semicov = risk_models.semicovariance(prices, benchmark=0)\n",
-    "plotting.plot_covariance(semicov);"
-   ],
    "outputs": [
     {
      "data": {
+      "image/png": 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XL7uvsqppN7YaZlJSkqSmpjpbSkqKTldLREQUeHYtQrcWKkz1SMqXLy+bNm2S48ePS8eOHeXPP/9U2zHC6MCBA15/xrEd+3iDkUnx8fFujYiIiKzLVMGLoxD366+/llOnTjkDmB49esgXX3zhUddit9vl7bffljp16njUwxAREYWCHLHp1kKF6YIXQF0KMjBnzpyRDh06yNChQ6V58+by4IMPytKlS+Xo0aPy3XffSdeuXVXmZe7cuRxpREREIYndRp5M+0huueUWFcCcO3dOBTDr16+XPn36yNixY6VatWoqKxMZGanmeLn99tuDfblEREQUbvO8LFiwwGsNjOsoIkxQh0ZERBQucv6v60iP44QK0wQvRERE5EmvLh87u42IiIiIgoOZFyIiIhPjqtKeGLwQERGZmCY2setQ86JxqDQRERFRcDDzQkREZGLsNvLE4IWIiMjE7JpNNT2OEyrCNnjJTIgWe6HogJ+n0IXCYoTKC417UW78f3MNOU/Hzr3FKJHnjXv+MhOLGHKe6AsxYpSsxDhDzhNlt4tRrpQ35vcEhSOMef1FnRPDXC1vzGuiyLUsQ86j5WSInDLkVOSHsA1eiIiIrCBHIlTT4zihInQeCREREYUFZl6IiIhMjDUvnhi8EBERmZhdIlTT4zihInQeCREREYUFZl6IiIhMLEezqabHcUIFgxciIiITY82LJ3YbERERkaUENXjp16+f2Gw2eeqppzzuGzp0qLoP+7javn27REZGSqdOnQy8UiIiouDQtAix69C0EFoeIOiPpEKFCrJ48WK5evWqc9u1a9dk0aJFcuutt3rsP3fuXBk+fLhs3rxZTpw4YfDVEhERGStHbLq1UBH04KVx48YqgFm+fLlzG/6NwKVRo0Zu+16+fFmWLFkiQ4YMUZmXBQsWBOGKiYiIKKyDFxgwYIDMnz/feXvevHnSv39/j/0++ugjqVWrltSsWVN69+6t9tM0Lc9jZ2RkSFpamlsjIiKyCrv2v6LdgjUJGaYIXhCIbN26Vf744w/VvvnmG7XNW5eRY3vHjh0lNTVVvv766zyPnZycLAkJCc6GLA8REZFV6FHvYv+/FipM8UhuvvlmZzcQMjD4d2Jiots+hw4dkh07dkjPnj3V7aioKOnevbsKaPKSlJSkghxHS0lJCehjISIiojCZ5wVdR8OGDVP/njlzpsf9CFKys7OlXLlyzm3oMoqJiZEZM2aorIo3uB+NiIjIiuxiU02P44QKU2ReHN1AmZmZkpWVJR06dHC7D0HL+++/L5MnT5a9e/c62/fff6+CmQ8//DBo101ERERhmnnB3C0HDhxw/tvVmjVr5OLFizJw4ECPDEvXrl1VVsbbXDFERERWx+UBTJx5gfj4eNVyQ3DSvn17r11DCF527twp+/btM+gqiYiIjMOCXZNlXq43T8vKlSuve4zmzZtfd7g0ERERhQ7TdBsRERGRj4JdPRZmlNDpNmLwQkREZGKaTqONtBAKXkKnA4yIiIh0h+lLKlWqJLGxsdKiRQs151peli5dqmbDx/7169eXtWvXel2U2bVhxHF+MHghIiIyMX2WBrDdUNcT1hMcOXKkjB8/Xnbv3i0NGjRQ05mcOXPG6/7btm1Tk8lidPCePXukS5cuqu3fv99tPwQrJ0+edLb8TnnC4IWIiMjEgjnaaMqUKTJ48GC13mCdOnVk9uzZUqRIEbW2oDfTpk1Tgcno0aOldu3aMnHiRLUAMyaTdYXJY8uUKeNsJUqUyNd1MXghIiIKI2m5FivGAsbeYOLYXbt2qalKHCIiItTt7du3e/0ZbHfdH5Cpyb3/pk2bpFSpUmqh5SFDhsj58+fz9RjCtmA37tBZiYoI/LIB2oWLYoTYK9fEKB07ey6aGQjnGhUTo9z8798MO1d0do4h58k5d0GMUijCmO9B2p+XxShxMdGGnUtOnTXkNPbMLDFKkUiDXhMGPXealinBcqNdPrk5jpF7gWJ0CU2YMMFj/3PnzklOTo6ULl3abTtuHzx4ULw5deqU1/2x3QGZmUceeUQqV64shw8flrFjx8p9992nApzck9T6ErbBCxERUThKSUlxmxDW6PX/evTo4fw3Cnpvu+02qVq1qsrGtGvXzq9jsNuIiIjIAgsz6tFcZ7N3NF/BS2JiosqEnD592m07bqNOxRtsz8/+UKVKFXWuX3/9VfzF4IWIiMjEgjXaKDo6Wpo0aSIbN27837XY7ep2y5Ytvf4MtrvuDxs2bPC5Pxw7dkzVvJQtW9bva2PwQkRERF5hmPS7774rCxcuVIsno7g2PT1djT6CPn36SFJSknP/ESNGyLp162Ty5MmqLga1NFh/cNiwYer+y5cvq5FI3377rRw5ckQFOg899JBUq1ZNFfb6izUvREREJqZ3wW5+dO/eXc6ePSvjxo1TRbcNGzZUwYmjKPfo0aNqBJJDq1atZNGiRfLSSy+pQtzq1aurdQrr1aun7kc3FBZSRjB06dIlKVeunNx7771qSHV+am8YvBAREZlYMIMXQNbEkTnJDUW2uXXr1k01bwoXLiyff/65FBS7jYiIiMhSmHkhIiIysWBnXsyowJkX9IENHz5cDXVCfxUmv3nwwQfdqo2x1sH999+vpv91LNSEKYcx+Y2rr7/+Wu6++2656aab1PTD6Cvr27evmuXP20JOrg2LRhEREYUaTafh0pqEjgIFL6gUxjCqL7/8Ut5880354YcfVCFP27ZtZejQoWqfFStWSJs2beSWW26Rr776SlUfoxr5lVdeURPVaNp/n86ffvpJzbrXtGlT2bx5szrWO++8o4ZqIcjBegmuizjB/Pnznbe/++47PZ4PIiIiCuVuo7/97W8q64HlsYsWLercXrduXRkwYIAaToUFnTp37ixz5sxx3j9o0CBVqYztH330kapmXr9+vZrEZtKkSc79MOOeY5lsFPkkJCS4nb948eJ5TnxDRERkdew20jHzcuHCBZVlQYbFNXBxDSwQkGDimeeee87jfnQt1ahRw7kMNoIQZFCQdSEiIqLgTlIXkpkXTOOLLp9atWr53Ofnn39W/8ey2N7gZx37YFgVhk+hiwmBzO23367WOMAEOK5rMOQXVst0XTETK2gSERFRGGZeHLUqeu2LiWtQw4JpgtF1VL58eXnttddUF5SjxuVGJCcnq+4mR8u9miYREZGZMfOiY/CCkUCod/G1LDagWwgwpbA32O7YxwFByxNPPCEzZsyQH3/8Ua5duyazZ8++0ctU0xanpqY6G1bTJCIiojAMXjCcGesQzJw5UxXm5oZpfzHlL/bDGge5rVq1Sn755Rfp2bOnz3NgaDUWavJ2fH9h+HbuFTSJiIisgpkXnYdKI3DBMObmzZvLsmXLVDCCbMr06dPVCpIo5P3Xv/4ln3zyiTz55JNqPQMMr547d66at+XRRx+Vxx57TB0L+2HBJxT5Hj58WGVdxowZo/6P4l4iIqJwpGk23VqoKNBQaUxMt3v3bnn11Vdl1KhRqjbl5ptvVnO/zJo1S+2DAAXzu2Cfv/zlL6obCF1OL774ojzzzDOq6wkQAG3dulWeeuopOXHihMTFxal6FyzohCJeIiIiIl2WB0C3DupT0HxB0IJh1Xlp1KiRfPDBBwEpGCYiIrIqxwy5ehwnVHBtIyIiIhPjJHWeuKo0ERERWQozL0RERCamV7GtFkKZFwYvREREJsZuI0/sNiIiIiJLYeaFiIjIxNht5InBCxERkYkh6NCjy0dj8GJ9WmSkaoFmT78qRoiIiRGjRJ435g/g5n//JkbJbOl95fNAiNlvzPpaWnaWGMV+8ZJBJ7Ibcx78TV3932r0gabZjZm3SrtqzPsRRFzLNOQ89kxjzqNpxv090fWFbfBCRERkBQht9ZiXVZPQwYJdIiIishRmXoiIiEwM0/rjPz2OEyoYvBAREZkYRxt5YrcRERERWQozL0RERCaGYdI2zrDrhsELERGRiWGkkS6jjTQJGew2IiIiIksxLHjp16+fdOnSxWP7XXfdJc8884zH9gULFkjx4sXVv4cPHy61a3ufROzo0aMSGRkpq1atCsBVExERmaNgV48WKiyReRk4cKAcPHhQtm3b5jXIKVWqlNx///1BuTYiIqJAYvBi0eClYcOG0rhxY5k3b57bdk3TVPDSt29fiYpi+Q4REVE4sETw4si+fPTRR5Kenu7ctmnTJvn9999lwIABPn8uIyND0tLS3BoREZFVYJSQXi1UWCZ4efzxxyUrK0uWLl3q3DZ//nxp3bq11KhRw+fPJScnS0JCgrNVqFDBoCsmIiLSb7SRHi1UWCZ4QfHuI4884uw6QgZl2bJlKiOTl6SkJElNTXW2lBRjVvQlIiKiwAh6oUh8fLwKKnK7dOmSypS4QqDSrl07+fXXX+Wrr75So4y6deuW5/FjYmJUIyIisqL/Zk30WB5AQkbQg5eaNWvK+vXrPbbv3r3bozuobdu2UrlyZdVdhOClR48eUrRoUQOvloiIiMIqeEGGZe/evW7bHnjgAZkxY4Y8/fTTMmjQIJUl+fTTT+XDDz+U1atXu+1rs9lUce6UKVPk4sWL8vbbbxt5+URERIbjwoxBDl4wOqhRo0YeXUGbN2+WF198Udq3by+ZmZlSq1YtVZjbsWNHr5PdjR8/XurWrSstWrQw8OqJiIiMh94ePXp8NAkdhgUvmI8FzRdvXUfe3HLLLZKTk6PjlREREZGVBL3mhYiIiHxjt5EnBi9ERERmxn4j687zQkRERATMvBAREZmZXosqauw2IiIiIgPoNbW/xm4jIiIiouBg5oWIiMjEONrIU/gGL1GRIpGRAT9NRJxByxckljDmPCKSmVjEkPNEZxs3n0/MfuMW7DwyuJoh56n4droYJSK+mCHn0a5liFHsRWINO1dEVrYx59HsYpScRPe16QIlwqDXRIQ9U8S4l587BB2seXHDbiMiIiKylPDNvBAREVkAC3Y9MfNCRERElsLMCxERkZlxhl0PDF6IiIhMjKONPLHbiIiIiHyaOXOmVKpUSWJjY6VFixayY8cO3zuLyNKlS6VWrVpq//r168vatWt97vvUU0+JzWaTqVOnSn4weCEiIrJK11FB2g1YsmSJjBw5UsaPHy+7d++WBg0aSIcOHeTMmTNe99+2bZv07NlTBg4cKHv27JEuXbqotn//fo99V6xYId9++62UK1cu39ele/CSk5MjrVq1kkceecRte2pqqlSoUEFefPFFdXvNmjXSpk0bKVasmBQpUkSaNWsmCxYscPuZI0eOqIgsMjJSjh8/7nbfyZMnJSoqSt2P/YiIiEK520iPll9TpkyRwYMHS//+/aVOnToye/Zs9Zk9b948r/tPmzZNOnbsKKNHj5batWvLxIkTpXHjxjJjxgy3/fCZPnz4cPn3v/8thQoVCn7wgkADQci6devURTngIm+66SYVvb3zzjvy0EMPyR133CH/+c9/ZN++fdKjRw+VPnruuec8jlm+fHl5//333bYtXLhQbSciIiL9ZWZmyq5du6R9+/bObREREer29u3bvf4MtrvuD8jUuO5vt9vliSeeUAFO3bp1b+jaAtJtVKNGDXn99ddVwIIMySeffCKLFy9WAcjp06dl1KhR8swzz8hrr72mIrlq1aqpbW+++aZMnjxZBTSu+vbtK/Pnz3fbhtvYTkREFNL06DLS/td1lJaW5tYyMrxPHXzu3DnVm1K6dGm37bh96tQprz+D7dfb/4033lA9J08//fQNPyUBq3lB4IK+MURXTz75pIwbN07d/vjjjyUrK8trhuWvf/2rxMXFyYcffui2vXPnznLx4kXZunWruo3/4/aDDz4YqMsnIiIyCZuOTVQJR0JCgrMlJycb9kiQyUHXEnpoUPZhuqHSuKhZs2apPi9UG7/wwgtq+88//6yerLJly3r8THR0tFSpUkXt4wr9Yb1791Z9bK1bt1b/x21/+skQUbpGlYgyiYiIwlVKSorEx8c7b8fExHjdLzExUZWCoMfEFW6XKVPG689ge177b9myRRX73nrrrc77kd1B7wtGHPlbwxrQ0UYIMlDY8/vvv8uxY8cKdKwBAwao4VdIPeH/uO0PRJSuESYiTiIionDtNoqPj3drvoIXJBSaNGkiGzdudKtXwe2WLVt6/Rlsd90fNmzY4NwfvTGoc927d6+zYbQR6l8+//xzv5+SgAUvGC719ttvq1FFzZs3V8OmNE1T9TAYeXTixAmvxUGHDx9W++SG7A3GjWMIFrI59erV8+s6kpKS1PkcDREnERERXR+GSb/77rtqkMyBAwdkyJAhkp6erkYfQZ8+fdTnrMOIESPUgB3Urx48eFAmTJggO3fulGHDhqn7S5YsqT6/XRt6UZCZqVmzpgQ1eLly5Yr069dPPci2bdvK3Llz1aQ2GGLVtWtXdaF4YLnhfjwpCFC8QbZl06ZNfmddABFl7iiTiIgoXDMv+dG9e3d56623VN1qw4YNVaYEwYmjKPfo0aNqYI4DpkpZtGiRzJkzx1nnunLlSr8TDkGteUEUhiwLRhwBZubDg0eR7n333SeTJk1S/VuYfQ8pJAQzGJE0duxYtR0z+HmDsebdunWT4sWLB+KyiYiIzAfzs+gxtb92Y8dA1sSROckNCYXc8DmN5q8bmatN9+Dl66+/VlMJ4wGh3sV1JNHy5ctV99EXX3yhCnMR0KDqGMU6GOuNAl9HKsrrxUZFqQIiIiIiCl+6By+YNTc7O9vrfa7FOBj+jJYXZGyQwfEFKay87iciIrI6fMzp8VGnhdDHJVeVJiIiMrMCrE3kJoSCFy7MSERERJbCzAsREZGZBblg14wYvBAREZmYTftv0+M4oYLdRkRERGQpzLwQERGZGQt2PTB4ISIiMjPWvHgI3+DlzHmRiOiAnybn0iUxQqQYJ/qC90W89JZz7oIYRcvOMuxcFd9ON+ZE1Ssacx78rg4cNuQ8Wpb3OaSs/jdlz8w05jzp6cZ9uJyMNeQ8OWlphpzHrhn3HkHXF77BCxERkRWw28gDC3aJiIjIUph5ISIiMjNmXjwweCEiIjIzBi8e2G1ERERElsLMCxERkZlxqLQHBi9EREQmxuUBPLHbiIiIiCzF8OClX79+YrPZVIuOjpZq1arJyy+/LNnZ2bJp0ybnfa7tpZdeUj/r6360U6dOGf1QiIiIjCvY1aOFiKB0G3Xs2FHmz58vGRkZsnbtWhk6dKgUKlRIWrZsqe4/dOiQxMfHO/ePi4tz+/nc90OpUqUMunoiIiIKu+AlJiZGypQpo/49ZMgQWbFihaxatcoZvCAQKV68uM+fv979REREFLpMUbBbuHBhOX/+fECOjewOmkOaQetgEBER6QFjhHQp2JXQEdSCXU3T5IsvvpDPP/9c7r77buf2W265RXUVOVruwCb3/XXr1vV5juTkZElISHC2ChUqBPQxERERBWSotB4tRAQl87JmzRoVdGRlZYndbpfHH39cJkyYIN999526f8uWLVKsWDHn/iVKlHD7+dz3o17Gl6SkJBk5cqRb5oUBDBERkXUFJXhp27atzJo1S402KleunERFuV9G5cqV86xpud79uetr0IiIiCyJywOYI3gpWrSoGiJNREREZMmC3fw6c+aMXLt2zW1byZIl8+w+IiIisiRmXkIjeKlZs6bHtu3bt8vtt98elOshIiIKFC4PYILgZcGCBT7vu+uuu9QIpBu9n4iIiEKfJTMvREREYYPdRh4YvBAREZkZgxcPXFWaiIiILIWZFyIiIhNjwa4nBi9ERERmptfU/lroLA/AbiMiIiKyFGZeiIiIzIwFux7CN3gpnSgSGfg1j6IMmvVXi48To2QlGnOuQhHGJQbtFy8Zdq6I+P8tKhpIOQcOi1GOPdPEkPPcuuBXMUzxeMNOFXEtQ0KNlmDM6zwiI9OY82iZIkH6NbHmxRO7jYiIiMhSwjfzQkREZAXsNvLAzAsRERFZCjMvREREZqZTzYuEUOaFwQsREZGZsdvIA7uNiIiIyFKYeSEiIjIzZl48MHghIiIyMc7zYoJuo379+kmXLl2c/7bZbKpFR0dLtWrV5OWXX5bs7Gx1/6ZNm9R9JUqUkGvXrrkd57vvvnP+LBEREYWPoNe8dOzYUU6ePCm//PKLjBo1SiZMmCBvvvmm2z7FihWTFStWuG2bO3eu3HrrrQZfLREREUm4By8xMTFSpkwZqVixogwZMkTat28vq1atctunb9++Mm/ePOftq1evyuLFi9V2IiKisKh50aOFiKAHL7kVLlxYMjPd16p44oknZMuWLXL06FF1e9myZVKpUiVp3LjxdY+XkZEhaWlpbo2IiIisyzTBi6Zp8sUXX8jnn38ud999t9t9pUqVkvvuu08WLFigbiMLM2DAAL+Om5ycLAkJCc5WoUKFgFw/ERFRIAt29WihIujBy5o1ayQuLk5iY2NVgNK9e3dV95IbghUEL7/99pts375devXq5dfxk5KSJDU11dlSUlIC8CiIiIgCiF1G5hoq3bZtW5k1a5YabVSuXDmJivJ+SQhsnnzySRk4cKA8+OCDUrJkSb9ratCIiIgoNAQ9eClatKgaIn09CGr69OkjkyZNks8++8yQayMiIgo6TlJnvm6j/Jg4caKcPXtWOnToEOxLISIiCgszZ85Ug2RQ3tGiRQvZsWNHnvsvXbpUatWqpfavX7++rF271u1+lIbgfiQvMI8bRhn/5z//MXfwYrfbfXYNXQ+6lhITEzkxHRERhY1gFuwuWbJERo4cKePHj5fdu3dLgwYNVALhzJkzXvfftm2b9OzZU5V47NmzR01Ki7Z//37nPjVq1JAZM2bIDz/8IFu3blWB0b333quSE/4/JxjmY/CkdOgmwoUHA4ZKY9RRu9rPSVRk4GthbOcviRG0+DgxSnaiMecq9If/L+SCsl805vcEEQnxhpwn58JFMcqxZ5oYcp5bF/wqhiluzO8JbNcyDDmP/dwFMYrtlrLGnOjMeUNOk61lysaLC9XAj/j4eEM/r6qPfk0iY2ILfLycjGvyy5tj8/UYkGlp1qyZ8zMbCQiM2h0+fLi88MILHvtj0E16eroajONw++23S8OGDWX27Nl5Pk6MOG7Xrp25Mi8XL15UDwZT/iNFREREROaVmZkpu3btcvvMjoiIULcx6tcbbM/9GY9Mja/9cY45c+ao4AVZHdMV7GKoM9YjwhIADz30kFGnJSIisjS9F2ZMyzVZq69RuefOnZOcnBwpXbq023bcPnjwoNdznDp1yuv+2O4KyYwePXrIlStXpGzZsrJhwwZVFmK64CX32kRERERk/GijCrkma0U9i7f51QI9TcrevXtVgPTuu+/KY489pop2MSmtJYZKExERkXFSUlLcal58zYWGTEhkZKScPn3abTtuY01Cb7Ddn/0d06SgoSamevXqasFlTCwbckOliYiIwo7OCzPGx8e7NV/BC0b4NmnSRDZu3OjchoJd3G7ZsqXXn8F21/0BXUK+9nc9LtYi9BczL0RERGFU85IfGCbdt29fadq0qTRv3lymTp2qRhP1799f3Y/JY8uXL6/WEYQRI0ZImzZtZPLkydKpUydZvHix7Ny5UxXlAn721Vdflc6dO6taF3QbYR6Z48ePS7du3fy+rrANXmzpV8QWkRPw89j/vCxGsGVni1Gi7HZDzqMZ9NwpBj0m0AwaFqtlGfeaMGoIc+qdlcUoxb87adi5tDRjXutaZpYYJSIj05Dz2PPxbb0gNM2Yx2M23bt3V/OvjBs3ThXdYsjzunXrnEW5R48eVSOQHFq1aiWLFi2Sl156ScaOHau6g1auXCn16tVT96MbCsW+CxcuVIELlvrBUOwtW7ZI3bp1/b6usA1eiIiILCHIywMMGzZMNW8w/UluyKD4yqJg1t3ly5dLQbHmhYiIiCyFmRciIiIz48KMHhi8EBERmVgwC3bNit1GREREZCnMvBAREZkZu408MHghIiIyMXYbeWK3EREREVlKwIKXu+66S5555hmP7QsWLJDixYurf2MhKJvNJk899ZTbPlisCduPHDmibuP/uI3t/p6HiIgoJOi8PEAoCHrmBRPWYDGmX375JdiXQkREZD4MXswXvNSsWVMtjf3iiy8G+1KIiIjIAoIevMDrr78uy5YtU4s3ERER0f/YdGyhwhSjjRo3biyPPfaYjBkzxmMpbVdY8Ml1ASi4evWqWijKFyyx7brMdlpamk5XTUREZAAOlTZn8AKvvPKK1K5dW9avXy+lSpXyus+SJUvUPq569eqV53GxTPc//vEPXa+ViIiIQrDbKD4+XlJTUz22X7p0SRISEjy2V61aVQYPHiwvvPCCaJr38LBChQpSrVo1t1a4cOE8ryMpKUldh6OlpKQU4FEREREFZ54XPVqoiApkIS6yKLnt3r1batSo4fVnxo0bp4KYxYsX63YdMTExqhEREVFoCFjmZciQIfLzzz/L008/Lfv27ZNDhw7JlClT5MMPP5RRo0Z5/ZnSpUvLyJEjZfr06YG6LCIiImvhUGnjgpcqVarI5s2b5eDBg9K+fXtp0aKFfPTRR7J06VLp2LGjz5977rnnJC4uLlCXRUREZD0MXIwr2G3WrJnXriMHzLCLlrtW5uzZs27bKlWq5LMOZtOmTTpdLREREVmBaUYbERERkScuzOiJwQsREZGZcZ4Xc86wS0REROQvZl6IiIhMjN1Gnhi8EBERmRm7jTyw24iIiIgshZkXIiIiE2O3kaewDV4u1y0jUYViA36euH1iiJybPdeLCpQr5YsYcp64mGgxSsTV/608Hmj2IoF/3UGkGKh4vDGn+e6kGOWeTw364xWRzx9vach5ItOuiFEyKpU05DzRBr1P2HIyRH6R4GC3kQd2GxEREZGlhG3mhYiIyBKYefHAzAsRERFZCjMvREREJsaCXU8MXoiIiMyM3UYe2G1ERERElsLMCxERkYnZNE01PY4TKhi8EBERmRm7jYLTbbR9+3aJjIyUTp06edyXmZkpkyZNkgYNGkiRIkUkMTFR7rjjDpk/f75kZWWpffr16yc2m01ef/11t59duXKl2k5EREThw5DgZe7cuTJ8+HDZvHmznDhxwi1w6dChgwpKnnzySdm2bZvs2LFDhg4dKu+88478+OOPzn1jY2PljTfekIsXLxpxyURERKYabaRHCxUB7za6fPmyLFmyRHbu3CmnTp2SBQsWyNixY9V9U6dOVQEN7mvUqJHzZ6pUqSLdunVTwY1D+/bt5ddff5Xk5GSVqSEiIgoL7DYyPvPy0UcfSa1ataRmzZrSu3dvmTdvnmj/VzT073//WwUlroGLQ6FChaRo0aLO2+h2eu2111RG5tixY36fPyMjQ9LS0twaERERWVeEEV1GCFqgY8eOkpqaKl9//bW6/csvv6jAxl8PP/ywNGzYUMaPH+/3zyBTk5CQ4GwVKlS4gUdBREQUHOw2Mjh4OXTokKph6dmzp7odFRUl3bt3VwENODIw+YG6l4ULF8qBAwf82j8pKUkFTI6WkpKS73MSEREFvdtIjxYiAlrzgiAlOztbypUr59yGgCUmJkZmzJghNWrUkIMHD+brmHfeeacq8kVQglFI14NzoREREVFoCFjwgqDl/fffl8mTJ8u9997rdl+XLl3kww8/lMcff1wV7+7Zs8ej7gXDpFGw61r34oDRSeg+Qh0NERFRKOPaRgYGL2vWrFHDmgcOHKhqTVx17dpVZWW2bt0qn376qbRr104mTpworVu3lmLFiqnRR+gewj4IUnKrX7++9OrVS6ZPnx6oyyciIqJwq3lB4IGRRLkDF0fwggAFNTEbNmyQ559/Xv71r3/J7bffLs2aNVNBydNPPy316tXzefyXX35Z7HZ7oC6fiIjIHFjzYlzmZfXq1T7va968uVux7gsvvKCaL5gbJrdKlSqpYdBEREShLpS6fPTAVaWJiIjIUrgwIxERkZmhp0KPFaG10EnfMHghIiIyMY428sRuIyIiIrIUZl6IiIjMjAszemDwQkREZGI2+3+bHscJFew2IiIiIksJ28xL0Z/PS1SkAWseZecE/hwiEnnhshilcITNmBOdOmvMeZBNtRuXT43IyjbkPPbMTDFKxDVj5lzS0ox7nX/+eEvDzvVH5xKGnKfSOyfEKNGFDVpT7kKqMeexG/f35IHdRh6YeSEiIiJLYfBCRERkgaHSerQbMXPmTDWrfWxsrLRo0UJ27NiR5/5Lly6VWrVqqf2xFuHatWvdFl0eM2aM2o6Fl8uVKyd9+vSREyfylxVk8EJERGSFSer0aPm0ZMkSGTlypIwfP152794tDRo0kA4dOsiZM2e87r9t2zbp2bOnWpR5z5490qVLF9X279+v7r9y5Yo6zt///nf1/+XLl6t1Djt37pyv62LwQkRERF5NmTJFBg8eLP3795c6derI7NmzpUiRIjJv3jyv+0+bNk06duwoo0ePltq1a8vEiROlcePGMmPGDHU/FmvGgsyPPfaY1KxZUy3IjPt27dolR48eFX8xeCEiIgqjbqO0tDS35muR48zMTBVUtG/f3rktIiJC3d6+fbvXn8F21/0BmRpf+0NqaqrYbDYpXry4388JgxciIiIz03RsIlKhQgWVAXG05ORkr6c9d+6c5OTkSOnSpd224/apU6e8/gy252f/a9euqRoYdDXFx8f7/ZSE7VBpIiKicJSSkuIWKMTEGDSsPRcU76L7SNM0mTVrVr5+NiiZl379+qkUEVqhQoVUVHbPPfeoPjS7/X9TAKK6eerUqc7b33//vSrqKVWqlKpixv3du3f3WThERERkdXp3G8XHx7s1X8FLYmKiREZGyunTp92243aZMmW8/gy2+7O/I3D5448/VA1MfrIuQe02QkHPyZMn5ciRI/LZZ59J27ZtZcSIEfLAAw9IdrbnJF5nz56Vdu3ayU033SSff/65HDhwQObPn6+GWaWnpwflMRAREYXqaKPo6Ghp0qSJbNy40bkNCQbcbtnS+ySO2O66PyA4cd3fEbj88ssv8sUXX0jJkiXz/ZQErdsIkZ4jEitfvryqRkbVMQKUBQsWyKBBg9z2/+abb1RRz3vvvSdRUf+97MqVK6ugh4iIiPSHYdJ9+/aVpk2bSvPmzVVvCBIGGH0EmKMFn+GOuhkkIdq0aSOTJ0+WTp06yeLFi2Xnzp0yZ84cZ+Dy6KOPqmHSa9asUTU1jnoYJCcQMFmuYPfuu+9WY8gx7js3BDrIyKxYsUL1jxEREYWDYE5S1717d3nrrbdk3Lhx0rBhQ9m7d6+sW7fOWZSL4c3oRXFo1aqVLFq0SAUr+Dz/+OOPZeXKlVKvXj11//Hjx2XVqlVy7NgxdbyyZcs6G+aIsWzBLmbl27dvn8d2ZGXGjh0rjz/+uDz11FMqAkSwg6gvd2WzKwwBcx0GhmFhRERElhHktY2GDRummjebNm3y2NatWzfVvEGtqh4JCFNlXgAPCoW83rz66qsqvYRJcurWrav+j2Dnhx9+8Hk8pLJch4RhiBgRERFZl+mCFxTiopbFFxT2IKJDGgv7omAX//YlKSlJ1co4GoaIERERWUWw1zYyI1N1G3355Zcqi/Lss8/6tT8Ke6pWrZrnaCMUBgdrDDsRERGFUPCCOhR0AaHSGGPAUQCELh4MlUYdS26oSkbVco8ePaRGjRqqe2n16tVqtUoMmSYiIgpJdu2/TY/jhIigBS8IVlBdjGHPJUqUUFXJ06dPV0OysHZCblgQCotBjRo1SnX9IJtSvXp1NXT6iSeeCMpjICIiCvWCXTMKSvCCeVzQrgcT2DlUqVLFOU6ciIiIwpepal6IiIjIHcbf6lFsa5PQweCFiIjIzG5gan+vQmiCV9MNlSYiIiLKCzMvREREJqbXHC220Em8MHghIiIyNY428sBuIyIiIrIUZl6IiIhMzIY1/3QotrWFUMFu2AYvtqvXxBYR+F+k/fwFMUJEieJilKhzxpzHnpllzImQTb161bBzRWh2Q85jz2PZDKvSDHxNRKZdMexcld45Ych5rraoLkYpsu+YIeexX7tmyHk0LVOCBm8Zerxt2CVksNuIiIiILCVsMy9ERERWwG4jT8y8EBERkaUw80JERGRmHCrtgcELERGRmXF5AA/sNiIiIiJLYeaFiIjIxLg8gCcGL0RERGbGbiNjuo1OnTolI0aMkGrVqklsbKyULl1a7rjjDpk1a5ZcufLfiZ8qVaokU6dOdf5M7tuujhw5IjabzdmKFSsmdevWlaFDh8ovv/wSiIdARERE4ZJ5+e2331SgUrx4cXnttdekfv36EhMTIz/88IPMmTNHypcvL507d76hY3/xxRcqaEEAhONNmzZNGjRoIKtXr5Z27drp/VCIiIiCzmb/b9PjOKFC9+Dlb3/7m0RFRcnOnTulaNGizu1VqlSRhx56SLQCpK1KliwpZcqUcR7vwQcfVEHLwIED5fDhwxIZGanLYyAiIjINdhsFttvo/Pnzsn79etWd4xq4uEK3j14iIiJU99Qff/whu3bt8rpPRkaGpKWluTUiIiKyLl2Dl19//VVlVmrWrOm2PTExUeLi4lQbM2aMnqeUWrVqOetivElOTpaEhARnq1Chgq7nJyIiMmSSOj1aiDBknpcdO3bI3r17Vb0KMiF6cnRD+croJCUlSWpqqrOlpKToen4iIiIj1jbSo4UKXWteMLoIQcShQ4fctqM+BQoXLix6O3DggPp/5cqVvd6PYmE0IiIiCg26Zl5QUHvPPffIjBkzJD09XQLNbrfL9OnTVeDSqFGjgJ+PiIgoaAW7erQQoftoo3/+859qqHTTpk1lwoQJctttt6nC2u+++04OHjwoTZo08fmzx48fV91LripWrOhWEIw5ZDBUev/+/WpeGHRJffrppxxpREREFCZ0D16qVq0qe/bsUXO8oN7k2LFjqtumTp068txzz6mh1L689dZbqrn64IMPpHXr1urf7du3V/8vUqSICmratm2r5o5BdxUREVFIQsJEjzlaNAkZAVkeoGzZsvLOO++o5kvu0UG+Rgs5FGR+GCIiIqvSq9jWFkKfo1xVmoiIiCyFCzMSERGZmZqjRY8ZdiVkMHghIiIyMy4P4IHdRkRERGQpzLwQERGZGUYa6bEsoF1CBoMXIiIiE+NoI0/sNiIiIiJLCdvMy9WaZSQqKjbg5ym8P0eMYC9VQoxytXycIecpEmlcbB1xLdOwc+UkJhhynqiTgX99O2gJxQw5T0SGcb+njEolDTtXdGFj1l8rsu+YGKXk8iuGnOfcE4mGnMeWkyHypwQHC3Y9hG3wQkREZAkMXjyw24iIiIgshZkXIiIiM2PmxQMzL0RERGQpzLwQERGZGed58cDghYiIyMQ4z4sndhsRERGRpTDzQkREZGYs2A2NzEu/fv3EZrN5tF9//TXYl0ZERKQvu6ZfCxGWzbx07NhR5s+f77bt5ptvDtr1EBERkTEsG7zExMRImTJlgn0ZREREgcVuo9AJXvyVkZGhmkNaWlpQr4eIiCh/dApeJHSCF0vWvMCaNWskLi7O2bp16+Z1v+TkZElISHC2ChUqGH6tREREVjVz5kypVKmSxMbGSosWLWTHjh157r906VKpVauW2r9+/fqydu1at/uXL18u9957r5QsWVLVq+7duzd8gpe2bduqB+xo06dP97pfUlKSpKamOltKSorh10pERFTgbiM9Wj4tWbJERo4cKePHj5fdu3dLgwYNpEOHDnLmzBmv+2/btk169uwpAwcOlD179kiXLl1U279/v3Of9PR0ad26tbzxxhsSdt1GRYsWlWrVqvlVG4NGRERE+TNlyhQZPHiw9O/fX92ePXu2fPrppzJv3jx54YUXPPafNm2aGlAzevRodXvixImyYcMGmTFjhvpZeOKJJ9T/jxw5IjfKspkXIiKisKDzUOm0tDS35loX6iozM1N27dol7du3d26LiIhQt7dv3+71Z7DddX9ApsbX/jeKwQsREZGZaXb9moiq/XStBUVtqDfnzp2TnJwcKV26tNt23D516pTXn8H2/Owfdt1GRERElH+o/YyPj3fetmJphSWDlwULFgT7EoiIiCw5z0t8fLxb8OJLYmKiREZGyunTp92247avedawPT/73yh2GxEREZlZkJYHiI6OliZNmsjGjRv/dyl2u7rdsmVLrz+D7a77Awp2fe0fVpkXIiIiCjwMk+7bt680bdpUmjdvLlOnTlVDnR2jj/r06SPly5d31s2MGDFC2rRpI5MnT5ZOnTrJ4sWLZefOnTJnzhznMS9cuCBHjx6VEydOqNuHDh1S/0d2xt8MDYMXIiIiMwvi8gDdu3eXs2fPyrhx41TRbcOGDWXdunXOolwEIRiB5NCqVStZtGiRvPTSSzJ27FipXr26rFy5UurVq+fcZ9WqVc7gB3r06KH+j7lkJkyY4Nd1MXghIiIyM8QcugQvckOGDRummjebNm3y2IYZ733Neg/9+vVTrSBY80JERESWwswLERGRmXFVaQ9hG7wU/v28REUEfmx7zsVLYoRIm02MUuRaliHn0U6dFaPYMzMNO1fENe+zWeotx8AV1CMyjHn+7D5mAg2E6Jhow84lF1INOY392jUxyrknEg05T1rDUoacJzvrmshvEhx2TC5n1+k4oYHdRkRERGQpYZt5ISIisgR2G3lg5oWIiIgshZkXIiIiM2PmxQODFyIiIjNT0/rrEHjYQyd4YbcRERERWQozL0RERCamaXbV9DhOqGDwQkREZGaoVdGjy0djt5Ebm82WZ3MstLRixQq5/fbbJSEhQYoVKyZ169aVZ555xnmcBQsWSPHixf06Z61atSQmJkYtFEVEREThQ5fg5eTJk86G5bLj4+Pdtj333HOyceNGtTpl165dZceOHbJr1y559dVXJSsr/7O1bt26Va5evSqPPvqoLFy4UI+HQEREZO7RRnq0EKFLt1GZMmWc/0ZWBdkW122wevVqueOOO2T06NHObTVq1JAuXbrk+3xz586Vxx9/XNq0aSMjRoyQMWPGFPAREBERmRSm9bfpUK+ihU7Ni2GjjRDM/Pjjj7J///4CHefPP/+UpUuXSu/eveWee+6R1NRU2bJli27XSUREROZmWPAyfPhwadasmdSvX18qVaokPXr0kHnz5klGPhdaW7x4sVSvXl3Vy0RGRqrjIBPjC46flpbm1oiIiCyD3UbBC16KFi0qn376qfz666/y0ksvSVxcnIwaNUqaN28uV65c8fs4CHiQdXHAv5GJQUbGm+TkZNWV5WgVKlTQ5fEQEREZQbPbdWuhwvBJ6qpWrSqDBg2S9957T3bv3i0//fSTLFmyxK+fxb7ffvutPP/88xIVFaUaRi8h+EFGxpukpCTVteRoKSkpOj8iIiIiCpt5XtB9VKRIEUlPT/drf3QP3XnnnTJz5ky37fPnz1f3DR482ONnMJwajYiIyJJUdw/neQlK8IK5XpAhuf/++6VixYpy6dIlmT59uhoqjcJbh5ycHNm7d6/bzyL4qFatmnzwwQfy8ssvS7169dzuRyZnypQpqiAYtTBEREQUugwLXjCsGRmTPn36yOnTp6VEiRLSqFEjWb9+vdSsWdO53+XLl9X23F1Nb7zxhpw/f14efvhhj2PXrl1bNWRfEMQQERGFDMyua2PmJaDBS79+/VTLrW3btqrdyM+6ZmXyqochIiIKOSro0GOeF01CBVeVJiIiIkvhwoxEREQmptk10XToNtJCKPPC4IWIiMjM1LT+XB7AFbuNiIiIyFKYeSEiIjIxdht5YvBCRERkZuw28hB2wYsj8sy2Zxpyvhwty5DzaAY9HnWunAxjzqMZ+JgM+j1BhEG/K7uRj8mg35WRrwmbQa9zxaDXRCg+f9lZ1ww5T87/nScY2YtsydJlgt1sHCdE2LRQyiP54dixY1yckYiIbgjWx7vlllsMOde1a9ekcuXKcurUKd2OWaZMGfn9998lNjZWrCzsghe73S4nTpyQYsWKic1m8+tn0tLSVMCDF218fHxAry8Uz8XHxHMF6zxGnisUH5OR5zL7Y8JH5Z9//inlypWTiAjjxroggMnM1C9jFh0dbfnAJSy7jfCiu9GoGS/yQP9RhfK5+Jh4rmCdx8hzheJjMvJcZn5MCQkJYjQEGqEQbOiNQ6WJiIjIUhi8EBERkaUwePFDTEyMjB8/Xv2f5zLveYw8Vyg+JiPPxcfEcwXrPEafiwIj7Ap2iYiIyNqYeSEiIiJLYfBCRERElsLghYiIiCyFwQsRERFZCoMXsqwqVarI+fPng30ZRGRRBw4ckOeeey7Yl0E3gKONKCj2798v9erVK/BsyVjzo1SpUhJoa9askfvvvz+g04IfPXrUr/1uvfVWsYLIyEi/9svJyQn4tZD/8JGwa9cuOXLkiFpCBWvrNGrUyO/lVPzx22+/qePqeUx/paeny+LFi2Xu3Lny7bffSp06ddT7EVkLgxcfb7onT54M6IciPgSv94eL+7Ozs3U/9759++Tnn39W/65Ro4bcdtttYgSsC/Lhhx/Ke++9p94cC/qhZWTwEhUVJaVLl5Z+/fpJ//79pVq1agH9sHf8Wbq+RrANt/X6sD9z5kyezx1ee7t375bmzZvf8O+nYsWK0rdvX/Xh58tDDz0kVmL03+65c+fUBy6eS4cff/xR3nrrLbW9S5cu8vjjj+tyrq+++koGDhwof/zxh9trEIHGvHnz5M477wzIe2z37t1l+vTp6m8sUL755hsVsHz00Udy9epVefbZZ2XQoEFSq1atgJ2TAofBS5A+FD/55BOf923fvl39IWMRSSzKpZcdO3aoN6affvrJ7Y2pbt266o+6WbNmEgibN29Wx1+2bJla1OyRRx6Rrl27Fvh8+D0tXLjwuuuNdO7cWQoKC7jNnz9fnQ/fSFu3bq3e+B599FEpXLiw6BUgYd0tBEgPPviguu1NgwYNAvIBUr9+fVm7dq1z1fXTp0+r39eNBks7d+5Uv3d8y8WH34ABA6RXr15SokQJCZSRI0f6td+UKVMs87fbs2dP9XuYPHmyM+jEBy62Va1aVT777DP1PD/xxBMFOs+vv/6qXlstWrSQESNGqHPgfQLvF3hM+H3iiw+6a/V+j8VCud9//70ux3aF52rBggUq8EpNTVXPJQK9li1bqvMh60IWheCF3NlsNu306dOGn/fgwYNaly5dtMjISK1Pnz7akSNHdDv2jz/+qMXFxWnNmjXTFi1apO3Zs0e1f//731rTpk21YsWKqX30cvLkSS05OVmrVq2aVqpUKW3YsGFaVFSUrufA7+l6LSIiQtPbl19+qX4/RYsW1RISErS//vWv2o4dO3R5zl5//XWtZs2aWunSpbVRo0ZpP/30k2bU6xyvj8OHDztvnzp1Su1TUFevXtU++OAD7e6779aKFCmide/eXVu/fr0WCHfddZdbw2uuRYsWbtvatm1rqb/dSpUqaZs2bXLefvPNN7WqVatqWVlZztt4jAU1dOhQ9Tvyxm63q/vwd2zEa08vsbGxWu/evbV169ZpOTk5zu16vxeR8Ri8+PjDevXVV7Vp06bl2fRy/PhxbdCgQVqhQoW0Bx54QPvhhx80vXXr1k17+OGH1ZtQbtiGN17sowc8hvj4eK1nz57amjVrtOzsbLU9EMFLMIJMh7S0NG3OnDlaq1atVJB022236XbsLVu2aAMGDFBBJT6YcB7XN1+jghe9g7/ffvtNBQ847vnz57VAC9SHopF/u/gAdg2G7rvvPm306NHO24cOHdJuuummAp+nbt262qpVq3zej/uwjx7w+z9z5ozb7wmvDb3hiwCCv7Fjx2oHDhxwbmfwYn3e89Iks2fPzrPgEN0tTz/9dIHOgTTma6+9Ju+88440bNhQNm7cKH/5y18kENCXjfSyt756bBs7dqwqSNUDzoPnZsiQIVK9enUJlGAU+7lCqrtdu3aqPuDgwYMqva4XdEuh4fWBVPdTTz2lutpuuukmsaJjx46p9D3alStXZPTo0RIfHy9WZeTfLp6nS5cuOWteHN2/rn8HGRkZuhSMo+vQFxTY47WuB3xxRveoY20hdLHhNV60aFG3/ZYvX16g8+Dv0lHrgm5q1Pj17t3bFO8fVDAcKu0D+nd///13nw3V8gUxadIk1b+LUSwoYt22bVvA3vwcxbJ5FcOVKVNG7aOHrVu3qmM1adJE9Z/PmDFDFR3qLVjlWij2e//99+Wuu+5SwRlqOlBrgVoYveD1gJoavNlevnxZZs6cKcWLFxc94c0bv6e0tDT1YYzbOBduO1pBZGZmypIlS+Tee+9VzxOKf6dOnarqh15//XWfNT1mZ/Tf7u233+6so/n444/V7+zuu+923o/ie0edUkHgd1+kSBGf9+M+BJ56QBE36l1Qr4aGgAI1PI7bjqaHO+64Q9W8oL4LAdLSpUtVHdff/vY3effdd+Xs2bO6nIeMxYLdII42QqFn+/bt88zwFPSbh0PNmjXVN0V8e/cGb4ovvviiHDp0SPSCkRD48MIbB74t4g0DhZIo3ETWoqAw6gdv6nocyx8YVonHgtEK+GBG4TG+Abdt21aX4+M1h6AIhcEXL15Uxa14rgo6pNzfUTOO0Uy5b99owW7JkiXV7wYfVCgm9fX3FMgMTCAKQY3+20WRLDJ8CCYxgglZ0okTJzrvx3OLjAWyxQV9XF9++aXP7B6+gNxzzz0hMbQd87sgG/PBBx/IhQsXJCsrK9iXRPnE4CVIo42QMvUnbYkPMj1g+Xek7D/99FOPD8MffvhBjW7p06ePvPzyyxIICIocbxZIgeNNcNWqVQU6Jt5w8G3UdVl7jJDBmzgCJ4wyQteLHjAqAY8BQ34RsGDEgl7fDB0KFSok5cuXVx/2uHbc9kavoe1ff/21X/u1adPmho7vOieOt9e63kO/HR/0rlq1aqWCTYzi0us5NPpv1xE4oPsDGVJkM13hbxqvT4zo0iOY9faR4Niu9+8r2BAM4n0IX0TIWhi8ePGPf/xD9cnnlUK1GvQp49vbf/7zHxU41K5dW70Z4RvIF198ofqDN2zYIHFxcQG9DrzxId2ODEZeQ079zbxER0fLv/71L3Ub6XQM+8ZjLVu2rKpBwTn0qOVBDQ+CFr2GKfv7YZ/7z9NKHx6BDo68CccPYL34W8/iOt+M1aEmBl8UHPNekXVYs9M5wJAhGDZsmDN4Qc0GshJ6pre3bNmivkHhw9cbfADjGyPOq4dZs2apot23335b9dM7PlhQU/HKK6/I0KFDpUOHDurbXUGhq8OfLoWCwrXid+OALhd8KP3yyy8qKzJmzBh58803dQle0D0VaKilMtK4cePkhRdecL7O0VWl5xwsegYlZnoO8RrDJHGo48k9xw9qQjBfCrKbes3G7O9rr6ADCK4XlCBjinmAQil4QaHz4cOHg30ZdAOYefGj2whBy969e3XvN8fMpStWrFBZgtwKOkFYbniTRYbCWzCEQr2OHTuq1DS+iRSUY2ZVdLH4ennh229BawLQz49pvR3pcqR+0T3geLNH5gVFtZioqqDwoe6tqwBBEgJArI+CjJaVa7v0fp2jSw/BI9LyqBFC5g/dl3pN6hcs6H5F0IwsZu6aF3RDoMD2mWeecY5qKSh/uoPw2izoIILrQe1Q48aNQyprFYqPKVww8+KHQMV3+JbWtGlT9SGeux9bb6g1QWEfRqy4zjiL2pD77rtPfcD7m+a/HgyRRnYH34LRtYM38UAM8Y2NjVUjf1wLavFh6Xo/AjM9YJSMr2+jWOrggQceUEXPqB0qqO+++049f65LOKDGBq+VQL6u9X6dv/rqqzJhwgRV2IqAZdq0aep1hi5DK68PhcwsglVvxboYQfX888+r4Eav4MXojByRJQR5nhlTMmL2R0zSdPToUTXBFSahmjdvntv9gZgg7N1331UznH711Vfq9uXLl7XWrVurWXAx2Zaerl27pmbybd++vTonJsDDLJfeJsm7UZjx84UXXlD/3rx5s3q+Tpw44bwfs7hiJlIjTJ48WWvZsmWBj4PJx/D6w+R0DRo0UA2vPzy2559/XrPS6xyvq9mzZztvb9iwQYuOjtZ9sj1XjlmVczfX7ZgFtyBuvvlm7ffff/d5PyZbS0xM1PSE52zu3Llap06d1ERx9erV0zp37qwtXLhQ17+pvOzduzcgM1YHUyg+pnDBzIsPWDzQUbyKVDBSxYmJibr1MeNbLkbJYJ4BdK9g/gGk7FGTEqiVizFvCIYFYiE8FLKi5uHEiRMq44IuKj3hsWFyNTQUAuL5w7wKeC5RL6BHYTCuH1kj1Aah+wOjQFy74NAlhzkejIDMC2qHCgLrJmHSM3R7/fWvf3WONsKoKtQsoYYHBcl61UE55nlBhspRyOqY58XVjdZ6IQviWm+EDAzOgddc7tE/etmzZ4/X7Xh8mI8Hz21BX3vIVuY1Bw6eU73mQ3FcOzJ6mPwRBeOYSM5RbI/XPDK3K1eu1O18ocRXd69DIBa+JWMwePGRUkZQ4YDhieh20XuGXQd8qKPAr1u3buqDHZMoBQpS2ghgUH9QqVIl2bRpU8A+SLyNANGzbxkFoeiyWb9+vfod4flzhZlPb3RF5Bsp/PNVfO0vTESHuXhQLO4KQQxea3ijdRSP6wG/D3RJud52Xf25oCNzcL0IjHI/lkDOqeFtNBhG06EwGd1weP2PGjWqQOdAoS4mpvM13BqTNOo5szQCfxT4Yxbf3HMKYV4WrCqNYvWCvi6uVxh8/PhxsRpf3b1kfSzYNdFcMvim+vDDD6vZTvFNG0W0en3Y557HAKMG8EaPeUUCMbEWPsxxLNQ34M0cmQnUv+AxBSqzFExYhRfFzp9//nmBCpAx546vglkUZOJbN775W2WeF2TGXOfhWb16tZod1nUaeL1ec7lhRl9kq/DBj6wjMnV6zN2EGXbREDjkDmBQAIovBgiS0PSAGYrxnCEA8wYBL36XBXntgb/zxLAGh8yAmReTZXww/BfzieDDXk+5J1RDd06gIJOEFD2mLMewaRSf5u5y0xMyVd4KXB999FHdzoHp/71BoIkPSZx78+bNBToHCkAxKscXZCzymtE1vzCB31tvvRWw0UDIBORO2etVxJoXDH3FLLTLli2Txx57TI0603Ok4LPPPqu6cLD8BbrCatWqpbYjeEWWBxPjYR89J95DsOQLAkQ9hvKHS1CCaSgw8ze+BGCEYCDXX6PAYebFi+3bt8v58+fdAgikZfHGjhc80rSoTXD9RplfSP+iJsPXejUYNYPsS6CHPwYCvnEjEEMXRF79zQX9xo2huAjCELwgYHF8iKAWAHNtoBsJQY0eC7D5WgIA9SBYegGvlf/3//6fzJkz54bPgWHdWCPHdep3Vy+99JLKYqGrTw84j+toIHxzx/MZyNFAgYbAGaOB8PvC+knoOgwEBJKoT1u0aJGaV8jRBYegGYELZmPWa1kHdEeibszblAqAGiJkTfRYnDHU4EsHfld4vwYE6RjZie55zG+Erk1MztmyZctgXyrlE4MXH99k8EGClDMglY+5AFAch5lpEVigoBJv/BS86dPx4YEiWRS65s5UIZuAbqq///3vas4NK8wXgZmHERjjDRd1GY6FNNG9OHnyZNV/j4BXr6wcvnFiyC9ey4CsQadOndTwcz269vyZch1Di1GvhG/Aegwzx3WjzsYRyPqCbJneUMSLjCOCJyzsqleXL7JteA3cfPPNXu/Xa04ooybDMxICSHSrOaaHwHsO/rZQ2I0vWMgMY/g+llgga2Hw4gW+4aBv3jGvBhYsRJ8yvvUCvukjC4N0tJnnowh1qDdAYOJrRl98iGBukdzr3Zh5sit8Q0RAgW+Ejq4+dE3hQx5dB6it0Qsyh8hQua5IjA9+bNOjiBvBoz/ZM8ccQ3jcBV1bC18o/Amc8ferF3QX4rWGbioEEQjasAAqltzQg7faIVfIuKxbt67Arz2zTIanJ2RGEahWq1ZN3UZmEYt1OjKkGOGJEXHIXpG1sObFC0yT7vjWC3hjxZuHA96UUlJSdHujcMSPeq7oGw6QrkeXhy+4L/fIHTNDlggfqijaRoCMxwfojsCHIT7okaFAmlsPgR4NlJ/MGrJO6PLRI3gxAjIhGAWEoAUZF9TWIIjAkGUskqgnLNR5PXqMQAvFmhcEfq7fzzGRJf7OHNBtj/d7sh4GL14gcMEfMr6Roo8UkTsWa3Sdx8HXir/+QmCCb7foYkG6HN+sKX9Qp4EZbn1lp/ChkvvD2czQ/YX0Neqrchd8YmkHjF5BMahe8KaO15/rN3oUM2LOISNGA+UuHtZjBmEjlnHA3yuyLehiQ1ceRtChawermQeCnqtT5wW/e3QdOrolk5KS3Opo8B6F4NJKf1Po5kcWHV2xqHNBxtu1fg21RK5fVMk6+InpBdKIGJb4xhtvqG9SKOxCIaUDuiGqVq1aoHMcO3ZMfVjhjQlvehiFgVFG+GMj/6DIDkXNaL7mTdGrEO969RsIogoK6zQhU4QPcWRgUHOF1wleFzt27FC1Vk8++aQE8hu9EaOBvME3YD2CJCOWccBII9R9YBmMUBqpgkwSgmdH8II5hTApomP0GUZToT7J18g7M0LA36NHD/W4ELzgvd01640pI4yaC4r0xZoXL7BAIT6sUOOC2TjxR+364YUhpVh8DWu36AHnQRCDrgKknPFhhRaK86HoCROFobAaRa74Ro0iTcfMoyhwxSzCWElbj1l2/anf0OtbMq4bRbT4oEAGEN2U6J4IpdV8g2XKlCkqeMFr50ah6wG/Dwy3xZcNrBmGD0jUyqH2Se9uI6PgCxo+7B2BHWpD8Hgcw8wxmg5fCDAa00owuR+6JfH3NHz4cOcq6oCMOuYxwvsIWUxwVycwt0uXLmnZ2dke28+fP69lZmbqfj6sZ9S2bVu11gbOQde3fPlytY5M7rVsSpYsqX388ceaFeF1gDWhsB4P1hvatGlTsC8pZBw6dEgrUaKELsfC2mBYb+iOO+7QChUqpF53U6dO1dLS0jQrKlOmjNuaTfi7cr2N5y4+Pl6zkn/84x9aenp6sC+DAoCZFy98jV7JTa/5MPAtEMdC5gVzhuD86B5g5sU/WEcGc5S4FrhiVlLXb1hWgXlp0HWE+Un++c9/OkdMoZg1OTnZUvUGZoRpD1DzgoJbPWFeF/yusIwIuqhwDgzXtxJ0D2H0Dd6DvEG3EV6XqI2xCtQiYd0zPWZWJnPhp6MX6CZCdwPehFCJ7qsVBP6gUFODrg6MLsGQPsyui9oGFEwycLk+TM+OFD1GzeA5dEzJjm4kjJhBfz2mhrcKjCgaPHiwGjGDVDc+RDA8Gq9Fx3IOVkvZmw0CjEBMXOf4XaFGCQGoFWEAAequfEGtX6DXQdMbv5uHLmZevBg6dKh6A0KNAWodUMR400036XoOjFbCukIomsQESr5GL/la/I1EPW8YOeBrKnZMuoUPfkzsZgWozUHg7K0IFBPHoYgcxcl5LSEQ7vxdxgFT+5M7zCGE0UYobM6d4cPrD4XkmH4AmUCrwJdATOLna4I/si4GL34sLIhuHQyLRBEtuiP0mG7eNbPiOF7uXwXneckbgktMzuVrhBbS3Ph9+TshYLBhHpfrZdzwwXvnnXcadk1Wc71lHDBCyN8FCMMNPuSRlcJyBOi6dKw4ji4xjDxChhMz01ppaDH+njBM/nrv2RcuXDDsmkgfDF78gLkA8I0Y82/gDxhD7jAKqaDHvB7MJ6PX+iihCN8OkeZ2zJ6ZG2aKxSrM+NZIRNeH0W0I8DARouvkmajhQQ2WngtcGhW8YPh87oVpb2QiQDIXzvPi5x8A/oDxx6xXJsTXsFcELOiy0nt9lFCEbre8ghf00ftazI6IPCErhWwmMhEI/gF/X3p3mxsJw9hZsBt6WBWaR7cRggh840D6FKMUkDpFF0RBsy6+ugMQ/ePD9q233lLpb8wnQb5hwilM9e1t9AOyLZjoTa9FDInCCYIVTN6GZuXARY8ufjIndht5gWGpWB0WywNg2HKvXr0kMTHRkPVRMNuulSe6MrqPHoshYjgk+ugdQzxR64LJtJC1QpGmlfroiUjfrDneZ5l5CT0MXny84LFeTqNGjfKM3Asynbnr+igIjhzro2DUEYOX/NUOoY8e87y49tF36NBBBTAsziQiCj2sefGxQmug042huj6K0VA7hDlQMO8O+ugRwOD5xAJ9REQUmph5CZJQXR+FiIgo0Bi8BFl6eroKYDCfDGbXRZ0GFo9DrQ0WRiMiIiJ3DF5MJBTWRyEiIgo0Bi8mhOzL6tWrVTaGwQsREZE7Bi9ERERkKZykjoiIiCyFwQsRERFZCoMXIiIishQGL0RERGQpDF6IiIjIUhi8EBERkaUweCEiIiJLYfBCREREYiX/H1cA1wcWT5kmAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
-      ],
-      "image/png": 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"
+      ]
      },
      "metadata": {},
-     "output_type": "display_data",
-     "jetTransient": {
-      "display_id": null
-     }
+     "output_type": "display_data"
     }
    ],
-   "execution_count": 41
+   "source": [
+    "semicov = risk_models.semicovariance(prices, benchmark=0)\n",
+    "plotting.plot_covariance(semicov);"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 91,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:11:00.187295Z",
+     "start_time": "2025-11-12T08:11:00.171234Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "cK0NfwQ69nzP",
-    "outputId": "16b22337-b5ac-42cc-fe4c-8543d96275fd",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:11:00.187295Z",
-     "start_time": "2025-11-12T08:11:00.171234Z"
-    }
+    "outputId": "16b22337-b5ac-42cc-fe4c-8543d96275fd"
    },
-   "source": [
-    "ef = EfficientFrontier(mu, semicov)\n",
-    "ef.efficient_return(0.2)\n",
-    "weights = ef.clean_weights()\n",
-    "weights\n"
-   ],
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "OrderedDict([('ACN', 0.16819),\n",
+       "OrderedDict([('MSFT', 0.22529),\n",
        "             ('AMZN', 0.0),\n",
-       "             ('COST', 0.0607),\n",
-       "             ('DIS', 0.0),\n",
-       "             ('F', 0.0),\n",
-       "             ('GILD', 0.00822),\n",
-       "             ('JPM', 0.0),\n",
-       "             ('KO', 0.25592),\n",
+       "             ('KO', 0.0),\n",
+       "             ('MA', 0.19195),\n",
+       "             ('COST', 0.0),\n",
        "             ('LUV', 0.0),\n",
-       "             ('MA', 0.31923),\n",
-       "             ('MSFT', 0.0),\n",
-       "             ('PFE', 0.07272),\n",
-       "             ('TSLA', 0.10584),\n",
+       "             ('XOM', 0.04775),\n",
+       "             ('PFE', 0.0),\n",
+       "             ('JPM', 0.0),\n",
        "             ('UNH', 0.0),\n",
-       "             ('XOM', 0.00918)])"
+       "             ('ACN', 0.30285),\n",
+       "             ('DIS', 0.01471),\n",
+       "             ('GILD', 0.0),\n",
+       "             ('F', 0.21745),\n",
+       "             ('TSLA', 0.0)])"
       ]
      },
-     "execution_count": 42,
+     "execution_count": 91,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 42
+   "source": [
+    "ef = EfficientFrontier(mu, semicov)\n",
+    "ef.efficient_return(0.2)\n",
+    "weights = ef.clean_weights()\n",
+    "weights\n"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 92,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:11:00.211822Z",
+     "start_time": "2025-11-12T08:11:00.206614Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "TUmSYq629nzP",
-    "outputId": "62eba498-9e70-41b9-c361-5ad7f7814348",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:11:00.211822Z",
-     "start_time": "2025-11-12T08:11:00.206614Z"
-    }
+    "outputId": "62eba498-9e70-41b9-c361-5ad7f7814348"
    },
-   "source": [
-    "ef.portfolio_performance(verbose=True);"
-   ],
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "Expected annual return: 20.0%\n",
-      "Annual volatility: 11.9%\n",
-      "Sharpe Ratio: 1.68\n"
+      "Annual volatility: 16.3%\n",
+      "Sharpe Ratio: 1.23\n"
      ]
     }
    ],
-   "execution_count": 43
+   "source": [
+    "ef.portfolio_performance(verbose=True);"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -2117,52 +1844,52 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 93,
    "metadata": {
-    "id": "1qGD5WW69nzQ",
     "ExecuteTime": {
      "end_time": "2025-11-12T08:11:00.242145Z",
      "start_time": "2025-11-12T08:11:00.234199Z"
-    }
+    },
+    "id": "1qGD5WW69nzQ"
    },
+   "outputs": [],
    "source": [
     "returns = expected_returns.returns_from_prices(prices)\n",
     "returns = returns.dropna()"
-   ],
-   "outputs": [],
-   "execution_count": 44
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 94,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:11:01.171117Z",
+     "start_time": "2025-11-12T08:11:00.267704Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "Tyeys0NY9nzQ",
-    "outputId": "bf3aa95f-99ab-4410-e9f9-c04e10bf82eb",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:11:01.171117Z",
-     "start_time": "2025-11-12T08:11:00.267704Z"
-    }
+    "outputId": "bf3aa95f-99ab-4410-e9f9-c04e10bf82eb"
    },
-   "source": [
-    "from pypfopt import EfficientSemivariance\n",
-    "\n",
-    "es = EfficientSemivariance(mu, returns)\n",
-    "es.efficient_return(0.2)\n",
-    "es.portfolio_performance(verbose=True);\n"
-   ],
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "Expected annual return: 20.0%\n",
-      "Annual semi-deviation: 10.6%\n",
-      "Sortino Ratio: 1.89\n"
+      "Annual semi-deviation: 11.1%\n",
+      "Sortino Ratio: 1.80\n"
      ]
     }
    ],
-   "execution_count": 45
+   "source": [
+    "from pypfopt import EfficientSemivariance\n",
+    "\n",
+    "es = EfficientSemivariance(mu, returns)\n",
+    "es.efficient_return(0.2)\n",
+    "es.portfolio_performance(verbose=True);\n"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -2175,33 +1902,33 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 95,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:11:01.223479Z",
+     "start_time": "2025-11-12T08:11:01.215394Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "6jLzfOCj9nzQ",
-    "outputId": "ba8f4fcc-882a-4764-b0b8-e3906677dbd7",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:11:01.223479Z",
-     "start_time": "2025-11-12T08:11:01.215394Z"
-    }
+    "outputId": "ba8f4fcc-882a-4764-b0b8-e3906677dbd7"
    },
-   "source": [
-    "es.weights = ef.weights\n",
-    "es.portfolio_performance(verbose=True);"
-   ],
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "Expected annual return: 20.0%\n",
-      "Annual semi-deviation: 12.9%\n",
-      "Sortino Ratio: 1.55\n"
+      "Annual semi-deviation: 11.2%\n",
+      "Sortino Ratio: 1.79\n"
      ]
     }
    ],
-   "execution_count": 46
+   "source": [
+    "es.weights = ef.weights\n",
+    "es.portfolio_performance(verbose=True);"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -2227,50 +1954,22 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 96,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:11:01.281295Z",
+     "start_time": "2025-11-12T08:11:01.260523Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 281
     },
     "id": "x1d3qupJ9nzR",
-    "outputId": "daadeac7-706a-445e-fdd6-ab02efc6d005",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:11:01.281295Z",
-     "start_time": "2025-11-12T08:11:01.260523Z"
-    }
+    "outputId": "daadeac7-706a-445e-fdd6-ab02efc6d005"
    },
-   "source": [
-    "returns = expected_returns.returns_from_prices(prices).dropna()\n",
-    "returns.head()"
-   ],
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "Ticker           ACN      AMZN      COST       DIS         F      GILD  \\\n",
-       "Date                                                                     \n",
-       "2010-06-30  0.000000  0.005985 -0.014380 -0.024767  0.020243 -0.019731   \n",
-       "2010-07-01 -0.009573  0.015559  0.001276 -0.000318  0.048611 -0.004084   \n",
-       "2010-07-02 -0.008882 -0.016402 -0.012204 -0.003493 -0.027436  0.021383   \n",
-       "2010-07-06  0.012388  0.008430 -0.004241  0.010835 -0.011673 -0.002868   \n",
-       "2010-07-07  0.022130  0.030620  0.005370  0.044767  0.042322  0.004889   \n",
-       "\n",
-       "Ticker           JPM        KO       LUV        MA      MSFT       PFE  \\\n",
-       "Date                                                                     \n",
-       "2010-06-30 -0.012143 -0.004173  0.000000 -0.017045 -0.012870 -0.001400   \n",
-       "2010-07-01 -0.013129 -0.001796 -0.010801  0.016651  0.006519 -0.002104   \n",
-       "2010-07-02 -0.006929  0.000400 -0.021838  0.000346  0.004749 -0.006325   \n",
-       "2010-07-06  0.013955  0.007593 -0.011163 -0.013513  0.023636  0.010608   \n",
-       "2010-07-07  0.050097  0.020622  0.062089  0.037694  0.020151  0.023093   \n",
-       "\n",
-       "Ticker          TSLA       UNH       XOM  \n",
-       "Date                                      \n",
-       "2010-06-30 -0.002511 -0.008034 -0.003840  \n",
-       "2010-07-01 -0.078473 -0.019366 -0.008060  \n",
-       "2010-07-02 -0.125683  0.016158 -0.000707  \n",
-       "2010-07-06 -0.160937  0.020848  0.015733  \n",
-       "2010-07-07 -0.019243  0.010730  0.016882  "
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -2289,25 +1988,25 @@
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
-       "      <th>Ticker</th>\n",
-       "      <th>ACN</th>\n",
+       "      <th></th>\n",
+       "      <th>MSFT</th>\n",
        "      <th>AMZN</th>\n",
-       "      <th>COST</th>\n",
-       "      <th>DIS</th>\n",
-       "      <th>F</th>\n",
-       "      <th>GILD</th>\n",
-       "      <th>JPM</th>\n",
        "      <th>KO</th>\n",
-       "      <th>LUV</th>\n",
        "      <th>MA</th>\n",
-       "      <th>MSFT</th>\n",
+       "      <th>COST</th>\n",
+       "      <th>LUV</th>\n",
+       "      <th>XOM</th>\n",
        "      <th>PFE</th>\n",
-       "      <th>TSLA</th>\n",
+       "      <th>JPM</th>\n",
        "      <th>UNH</th>\n",
-       "      <th>XOM</th>\n",
+       "      <th>ACN</th>\n",
+       "      <th>DIS</th>\n",
+       "      <th>GILD</th>\n",
+       "      <th>F</th>\n",
+       "      <th>TSLA</th>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Date</th>\n",
+       "      <th>date</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
@@ -2327,206 +2026,231 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>2010-06-30</th>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.005985</td>\n",
-       "      <td>-0.014380</td>\n",
-       "      <td>-0.024767</td>\n",
-       "      <td>0.020243</td>\n",
-       "      <td>-0.019731</td>\n",
-       "      <td>-0.012143</td>\n",
-       "      <td>-0.004173</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>-0.017045</td>\n",
-       "      <td>-0.012870</td>\n",
-       "      <td>-0.001400</td>\n",
-       "      <td>-0.002511</td>\n",
-       "      <td>-0.008034</td>\n",
-       "      <td>-0.003840</td>\n",
+       "      <th>2021-01-04</th>\n",
+       "      <td>-0.007712</td>\n",
+       "      <td>0.000600</td>\n",
+       "      <td>0.003010</td>\n",
+       "      <td>0.014864</td>\n",
+       "      <td>-0.011657</td>\n",
+       "      <td>-0.003387</td>\n",
+       "      <td>-0.000211</td>\n",
+       "      <td>0.003946</td>\n",
+       "      <td>0.022340</td>\n",
+       "      <td>-0.012726</td>\n",
+       "      <td>0.023139</td>\n",
+       "      <td>-0.003010</td>\n",
+       "      <td>0.015339</td>\n",
+       "      <td>0.010526</td>\n",
+       "      <td>0.003121</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2010-07-01</th>\n",
-       "      <td>-0.009573</td>\n",
-       "      <td>0.015559</td>\n",
-       "      <td>0.001276</td>\n",
-       "      <td>-0.000318</td>\n",
-       "      <td>0.048611</td>\n",
-       "      <td>-0.004084</td>\n",
-       "      <td>-0.013129</td>\n",
-       "      <td>-0.001796</td>\n",
-       "      <td>-0.010801</td>\n",
-       "      <td>0.016651</td>\n",
-       "      <td>0.006519</td>\n",
-       "      <td>-0.002104</td>\n",
-       "      <td>-0.078473</td>\n",
-       "      <td>-0.019366</td>\n",
-       "      <td>-0.008060</td>\n",
+       "      <th>2021-01-05</th>\n",
+       "      <td>0.030453</td>\n",
+       "      <td>0.001709</td>\n",
+       "      <td>-0.012451</td>\n",
+       "      <td>-0.017052</td>\n",
+       "      <td>0.000168</td>\n",
+       "      <td>0.009400</td>\n",
+       "      <td>-0.014696</td>\n",
+       "      <td>-0.004913</td>\n",
+       "      <td>-0.018090</td>\n",
+       "      <td>-0.016570</td>\n",
+       "      <td>-0.022582</td>\n",
+       "      <td>-0.003743</td>\n",
+       "      <td>0.004833</td>\n",
+       "      <td>-0.008785</td>\n",
+       "      <td>-0.004344</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2010-07-02</th>\n",
-       "      <td>-0.008882</td>\n",
-       "      <td>-0.016402</td>\n",
-       "      <td>-0.012204</td>\n",
-       "      <td>-0.003493</td>\n",
-       "      <td>-0.027436</td>\n",
-       "      <td>0.021383</td>\n",
-       "      <td>-0.006929</td>\n",
-       "      <td>0.000400</td>\n",
-       "      <td>-0.021838</td>\n",
-       "      <td>0.000346</td>\n",
-       "      <td>0.004749</td>\n",
-       "      <td>-0.006325</td>\n",
-       "      <td>-0.125683</td>\n",
-       "      <td>0.016158</td>\n",
-       "      <td>-0.000707</td>\n",
+       "      <th>2021-01-06</th>\n",
+       "      <td>0.018290</td>\n",
+       "      <td>-0.011353</td>\n",
+       "      <td>-0.013931</td>\n",
+       "      <td>0.026895</td>\n",
+       "      <td>0.015886</td>\n",
+       "      <td>0.007553</td>\n",
+       "      <td>-0.013941</td>\n",
+       "      <td>0.014389</td>\n",
+       "      <td>0.021155</td>\n",
+       "      <td>0.006281</td>\n",
+       "      <td>-0.003132</td>\n",
+       "      <td>0.021948</td>\n",
+       "      <td>-0.002112</td>\n",
+       "      <td>-0.006773</td>\n",
+       "      <td>0.010311</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2010-07-06</th>\n",
-       "      <td>0.012388</td>\n",
-       "      <td>0.008430</td>\n",
-       "      <td>-0.004241</td>\n",
-       "      <td>0.010835</td>\n",
-       "      <td>-0.011673</td>\n",
-       "      <td>-0.002868</td>\n",
-       "      <td>0.013955</td>\n",
-       "      <td>0.007593</td>\n",
-       "      <td>-0.011163</td>\n",
-       "      <td>-0.013513</td>\n",
-       "      <td>0.023636</td>\n",
-       "      <td>0.010608</td>\n",
-       "      <td>-0.160937</td>\n",
-       "      <td>0.020848</td>\n",
-       "      <td>0.015733</td>\n",
+       "      <th>2021-01-07</th>\n",
+       "      <td>0.022595</td>\n",
+       "      <td>0.012095</td>\n",
+       "      <td>-0.001888</td>\n",
+       "      <td>-0.009584</td>\n",
+       "      <td>0.008209</td>\n",
+       "      <td>0.009010</td>\n",
+       "      <td>0.017609</td>\n",
+       "      <td>0.007820</td>\n",
+       "      <td>-0.002052</td>\n",
+       "      <td>0.001059</td>\n",
+       "      <td>-0.028843</td>\n",
+       "      <td>0.001786</td>\n",
+       "      <td>-0.011668</td>\n",
+       "      <td>-0.000734</td>\n",
+       "      <td>-0.010008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2010-07-07</th>\n",
-       "      <td>0.022130</td>\n",
-       "      <td>0.030620</td>\n",
-       "      <td>0.005370</td>\n",
-       "      <td>0.044767</td>\n",
-       "      <td>0.042322</td>\n",
-       "      <td>0.004889</td>\n",
-       "      <td>0.050097</td>\n",
-       "      <td>0.020622</td>\n",
-       "      <td>0.062089</td>\n",
-       "      <td>0.037694</td>\n",
-       "      <td>0.020151</td>\n",
-       "      <td>0.023093</td>\n",
-       "      <td>-0.019243</td>\n",
-       "      <td>0.010730</td>\n",
-       "      <td>0.016882</td>\n",
+       "      <th>2021-01-08</th>\n",
+       "      <td>-0.011230</td>\n",
+       "      <td>-0.007647</td>\n",
+       "      <td>-0.024086</td>\n",
+       "      <td>-0.018204</td>\n",
+       "      <td>0.000468</td>\n",
+       "      <td>0.002196</td>\n",
+       "      <td>0.022548</td>\n",
+       "      <td>0.001136</td>\n",
+       "      <td>-0.018134</td>\n",
+       "      <td>0.034227</td>\n",
+       "      <td>0.030675</td>\n",
+       "      <td>0.023126</td>\n",
+       "      <td>0.013148</td>\n",
+       "      <td>0.028201</td>\n",
+       "      <td>0.007450</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "                MSFT      AMZN        KO        MA      COST       LUV  \\\n",
+       "date                                                                     \n",
+       "2021-01-04 -0.007712  0.000600  0.003010  0.014864 -0.011657 -0.003387   \n",
+       "2021-01-05  0.030453  0.001709 -0.012451 -0.017052  0.000168  0.009400   \n",
+       "2021-01-06  0.018290 -0.011353 -0.013931  0.026895  0.015886  0.007553   \n",
+       "2021-01-07  0.022595  0.012095 -0.001888 -0.009584  0.008209  0.009010   \n",
+       "2021-01-08 -0.011230 -0.007647 -0.024086 -0.018204  0.000468  0.002196   \n",
+       "\n",
+       "                 XOM       PFE       JPM       UNH       ACN       DIS  \\\n",
+       "date                                                                     \n",
+       "2021-01-04 -0.000211  0.003946  0.022340 -0.012726  0.023139 -0.003010   \n",
+       "2021-01-05 -0.014696 -0.004913 -0.018090 -0.016570 -0.022582 -0.003743   \n",
+       "2021-01-06 -0.013941  0.014389  0.021155  0.006281 -0.003132  0.021948   \n",
+       "2021-01-07  0.017609  0.007820 -0.002052  0.001059 -0.028843  0.001786   \n",
+       "2021-01-08  0.022548  0.001136 -0.018134  0.034227  0.030675  0.023126   \n",
+       "\n",
+       "                GILD         F      TSLA  \n",
+       "date                                      \n",
+       "2021-01-04  0.015339  0.010526  0.003121  \n",
+       "2021-01-05  0.004833 -0.008785 -0.004344  \n",
+       "2021-01-06 -0.002112 -0.006773  0.010311  \n",
+       "2021-01-07 -0.011668 -0.000734 -0.010008  \n",
+       "2021-01-08  0.013148  0.028201  0.007450  "
       ]
      },
-     "execution_count": 47,
+     "execution_count": 96,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 47
+   "source": [
+    "returns = expected_returns.returns_from_prices(prices).dropna()\n",
+    "returns.head()"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 97,
    "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/"
-    },
-    "id": "4RdDFhAt9nzR",
-    "outputId": "76d8a6e4-c2b9-4c39-e525-e7b8cf2444e7",
     "ExecuteTime": {
      "end_time": "2025-11-12T08:11:01.949272Z",
      "start_time": "2025-11-12T08:11:01.926301Z"
-    }
-   },
-   "source": [
-    "ef = EfficientFrontier(mu, S)\n",
-    "ef.max_sharpe()\n",
-    "weight_arr = ef.weights\n",
-    "ef.portfolio_performance(verbose=True);"
-   ],
+    },
+    "colab": {
+     "base_uri": "https://localhost:8080/"
+    },
+    "id": "4RdDFhAt9nzR",
+    "outputId": "76d8a6e4-c2b9-4c39-e525-e7b8cf2444e7"
+   },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Expected annual return: 24.2%\n",
-      "Annual volatility: 17.7%\n",
-      "Sharpe Ratio: 1.36\n"
+      "Expected annual return: 12.3%\n",
+      "Annual volatility: 6.9%\n",
+      "Sharpe Ratio: 1.79\n"
      ]
     }
    ],
-   "execution_count": 48
+   "source": [
+    "ef = EfficientFrontier(mu, S)\n",
+    "ef.max_sharpe()\n",
+    "weight_arr = ef.weights\n",
+    "ef.portfolio_performance(verbose=True);"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 98,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:11:02.091064Z",
+     "start_time": "2025-11-12T08:11:02.040248Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 265
     },
     "id": "29a0FtJY9nzR",
-    "outputId": "a053e96e-e6fc-4c93-92ce-2cd3373ae112",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:11:02.091064Z",
-     "start_time": "2025-11-12T08:11:02.040248Z"
-    }
+    "outputId": "a053e96e-e6fc-4c93-92ce-2cd3373ae112"
    },
-   "source": [
-    "# Compute CVaR\n",
-    "portfolio_rets = (returns * weight_arr).sum(axis=1)\n",
-    "portfolio_rets.hist(bins=50);"
-   ],
    "outputs": [
     {
      "data": {
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
-      ],
-      "image/png": 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"
+      ]
      },
      "metadata": {},
-     "output_type": "display_data",
-     "jetTransient": {
-      "display_id": null
-     }
+     "output_type": "display_data"
     }
    ],
-   "execution_count": 49
+   "source": [
+    "# Compute CVaR\n",
+    "portfolio_rets = (returns * weight_arr).sum(axis=1)\n",
+    "portfolio_rets.hist(bins=50);"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 99,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:11:02.123937Z",
+     "start_time": "2025-11-12T08:11:02.110772Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "8LLBZ15l9nzR",
-    "outputId": "5f81ae25-bf09-495e-c389-9df5890717d0",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:11:02.123937Z",
-     "start_time": "2025-11-12T08:11:02.110772Z"
-    }
+    "outputId": "5f81ae25-bf09-495e-c389-9df5890717d0"
    },
-   "source": [
-    "# VaR\n",
-    "var = portfolio_rets.quantile(0.05)\n",
-    "cvar = portfolio_rets[portfolio_rets <= var].mean()\n",
-    "print(\"VaR: {:.2f}%\".format(100*var))\n",
-    "print(\"CVaR: {:.2f}%\".format(100*cvar))"
-   ],
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "VaR: -2.10%\n",
-      "CVaR: -3.12%\n"
+      "VaR: -0.66%\n",
+      "CVaR: -0.82%\n"
      ]
     }
    ],
-   "execution_count": 50
+   "source": [
+    "# VaR\n",
+    "var = portfolio_rets.quantile(0.05)\n",
+    "cvar = portfolio_rets[portfolio_rets <= var].mean()\n",
+    "print(\"VaR: {:.2f}%\".format(100*var))\n",
+    "print(\"CVaR: {:.2f}%\".format(100*cvar))"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -2541,35 +2265,35 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 100,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:11:02.320595Z",
+     "start_time": "2025-11-12T08:11:02.225714Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "bQ79Y0Gr9nzR",
-    "outputId": "b92a041c-9e59-45ba-8cab-ac427d889126",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:11:02.320595Z",
-     "start_time": "2025-11-12T08:11:02.225714Z"
-    }
+    "outputId": "b92a041c-9e59-45ba-8cab-ac427d889126"
    },
-   "source": [
-    "from pypfopt import EfficientCVaR\n",
-    "\n",
-    "ec = EfficientCVaR(mu, returns)\n",
-    "ec.min_cvar()\n",
-    "ec.portfolio_performance(verbose=True);"
-   ],
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Expected annual return: 15.1%\n",
-      "Conditional Value at Risk: 2.07%\n"
+      "Expected annual return: 10.0%\n",
+      "Conditional Value at Risk: 0.73%\n"
      ]
     }
    ],
-   "execution_count": 51
+   "source": [
+    "from pypfopt import EfficientCVaR\n",
+    "\n",
+    "ec = EfficientCVaR(mu, returns)\n",
+    "ec.min_cvar()\n",
+    "ec.portfolio_performance(verbose=True);"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -2582,35 +2306,35 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 101,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:11:02.500080Z",
+     "start_time": "2025-11-12T08:11:02.346234Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "onq8FVDr9nzS",
-    "outputId": "32b82ef5-e86c-414d-b965-d44e27813ff3",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:11:02.500080Z",
-     "start_time": "2025-11-12T08:11:02.346234Z"
-    }
+    "outputId": "32b82ef5-e86c-414d-b965-d44e27813ff3"
    },
-   "source": [
-    "from pypfopt import EfficientCVaR\n",
-    "\n",
-    "ec = EfficientCVaR(mu, returns)\n",
-    "ec.efficient_risk(target_cvar=0.025)\n",
-    "ec.portfolio_performance(verbose=True);"
-   ],
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Expected annual return: 23.4%\n",
+      "Expected annual return: 21.0%\n",
       "Conditional Value at Risk: 2.50%\n"
      ]
     }
    ],
-   "execution_count": 52
+   "source": [
+    "from pypfopt import EfficientCVaR\n",
+    "\n",
+    "ec = EfficientCVaR(mu, returns)\n",
+    "ec.efficient_risk(target_cvar=0.025)\n",
+    "ec.portfolio_performance(verbose=True);"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -2634,70 +2358,67 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 102,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:11:02.560828Z",
+     "start_time": "2025-11-12T08:11:02.535448Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "n0UWSKGj9nzS",
-    "outputId": "08a6de2a-17e4-4f70-92ea-fe86a9c8f442",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:11:02.560828Z",
-     "start_time": "2025-11-12T08:11:02.535448Z"
-    }
+    "outputId": "08a6de2a-17e4-4f70-92ea-fe86a9c8f442"
    },
-   "source": [
-    "from pypfopt import CLA, plotting\n",
-    "\n",
-    "cla = CLA(mu, S)\n",
-    "cla.max_sharpe()\n",
-    "cla.portfolio_performance(verbose=True);"
-   ],
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Expected annual return: 24.2%\n",
-      "Annual volatility: 17.7%\n",
-      "Sharpe Ratio: 1.36\n"
+      "Expected annual return: 12.3%\n",
+      "Annual volatility: 6.9%\n",
+      "Sharpe Ratio: 1.79\n"
      ]
     }
    ],
-   "execution_count": 53
+   "source": [
+    "from pypfopt import CLA, plotting\n",
+    "\n",
+    "cla = CLA(mu, S)\n",
+    "cla.max_sharpe()\n",
+    "cla.portfolio_performance(verbose=True);"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 103,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:11:02.649351Z",
+     "start_time": "2025-11-12T08:11:02.580697Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 297
     },
     "id": "Sk2eFFZ79nzS",
-    "outputId": "6f967d10-32c4-4f83-ecac-aed15aa8180a",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:11:02.649351Z",
-     "start_time": "2025-11-12T08:11:02.580697Z"
-    }
+    "outputId": "6f967d10-32c4-4f83-ecac-aed15aa8180a"
    },
-   "source": [
-    "ax = plotting.plot_efficient_frontier(cla, showfig=False)"
-   ],
    "outputs": [
     {
      "data": {
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
-      ],
-      "image/png": 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"
+      ]
      },
      "metadata": {},
-     "output_type": "display_data",
-     "jetTransient": {
-      "display_id": null
-     }
+     "output_type": "display_data"
     }
    ],
-   "execution_count": 54
+   "source": [
+    "ax = plotting.plot_efficient_frontier(cla, showfig=False)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -2708,3572 +2429,3785 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 104,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2025-11-12T08:11:03.392048Z",
      "start_time": "2025-11-12T08:11:02.679058Z"
     }
    },
-   "source": [
-    "ax = plotting.plot_efficient_frontier(cla, showfig=False, interactive=True)\n",
-    "ax.show()"
-   ],
    "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "        <script type=\"text/javascript\">\n",
-       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
-       "        if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
-       "        if (typeof require !== 'undefined') {\n",
-       "        require.undef(\"plotly\");\n",
-       "        define('plotly', function(require, exports, module) {\n",
-       "            /**\n",
-       "* plotly.js v2.35.2\n",
-       "* Copyright 2012-2024, Plotly, Inc.\n",
-       "* All rights reserved.\n",
-       "* Licensed under the MIT license\n",
-       "*/\n",
-       "/*! For license information please see plotly.min.js.LICENSE.txt */\n",
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r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();h.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color,fontWeight:n.weight,fontStyle:n.style,fontVariant:n.variant,fontShadow:n.fontShadow,fontLineposition:n.fontLineposition,fontTextcase:n.fontTextcase},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){h.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+C).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",C).append(\"rect\"),V.exit().remove();var q=e.font,H=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(H);k.annotationText?G.call(f.makeEditable,{delegate:R,gd:t}).call(W).on(\"edit\",(function(r){e.text=r,this.call(W),S(\"text\",r),y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(W)}else n.selectAll(\"#\"+C).remove();function Z(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,q).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),f.convertToTspans(r,t,Y),r}function Y(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),h=!n.empty(),m=u.bBox((h?n:G).node()),_=m.width,b=m.height,A=e.width||_,D=e.height||b,B=Math.round(A+2*N),q=Math.round(D+2*N);function H(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,Y=[\"x\",\"y\"],X=0;X<Y.length;X++){var $,J,K,Q,tt,et=Y[X],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:y,y:x}[et],at=(I+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=q*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+\"anchor\"],ut=e[et+\"shift\"]*(\"x\"===et?1:-1),ht=L[et],ft=l.getRefType(rt);if(it&&\"domain\"!==ft){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(W=!0):W=!0),$=it._offset+it.r2p(e[et]),Q=.5}else{var dt=\"domain\"===ft;\"x\"===et?(K=e[et],$=dt?it._offset+it._length*K:$=T.l+T.w*K):(K=1-e[et],$=dt?it._offset+it._length*K:$=T.t+T.h*K),Q=e.showarrow?.5:K}if(e.showarrow){ht.head=$;var 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t^!!o.segmentsIntersect(l,h,l+1e6,h+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(f,p,l,h,t[0],t[1],t[2],t[3]);e&&(f=e.x,p=e.y)}));var V=e.arrowwidth,q=e.arrowcolor,H=e.arrowside,G=P.append(\"g\").style({opacity:c.opacity(q)}).classed(\"annotation-arrow-g\",!0),Z=G.append(\"path\").attr(\"d\",\"M\"+f+\",\"+p+\"L\"+l+\",\"+h).style(\"stroke-width\",V+\"px\").call(c.stroke,c.rgb(q));if(g(Z,H,e),k.annotationPosition&&Z.node().parentNode&&!a){var W=l,Y=h;if(e.standoff){var X=Math.sqrt(Math.pow(l-f,2)+Math.pow(h-p,2));W+=e.standoff*(f-l)/X,Y+=e.standoff*(p-h)/X}var $,J,K=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(f-W)+\",\"+(p-Y),transform:s(W,Y)}).style(\"stroke-width\",V+6+\"px\").call(c.stroke,\"rgba(0,0,0,0)\").call(c.fill,\"rgba(0,0,0,0)\");d.init({element:K.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);$=t.x,J=t.y,y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w($,J),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S(\"x\",v(y,t,\"x\",T,e)),S(\"y\",v(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",v(y,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",v(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),z.attr({transform:\"rotate(\"+I+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};e.showarrow&&At(0,0),O&&d.init({element:R.node(),gd:t,prepFn:function(){kt=z.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",v(y,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",v(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(y)i=v(y,t,\"x\",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=v(x,r,\"y\",T,e);else{var u=e._ysize/T.h,h=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(h-r/T.h,u,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),y&&x||(n=d.getCursor(y?.5:i,x?.5:o,e.xanchor,e.yanchor))}z.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",Z(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}t.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&y(t,r);return a.previousPromises(t)},drawOne:y,drawRaw:x}},23768:function(t,e,r){\"use strict\";var n=r(45568),i=r(78766),a=r(11645),o=r(34809),s=o.strScale,l=o.strRotate,c=o.strTranslate;t.exports=function(t,e,r){var o,u,h,f,p=t.node(),d=a[r.arrowhead||0],m=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),y=(r.arrowwidth||1)*(r.startarrowsize||1),v=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,_=d.backoff*g+r.standoff,b=m.backoff*y+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},u={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-u.x,T=o.y-u.y;if(f=(h=Math.atan2(T,w))+Math.PI,_&&b&&_+b>Math.sqrt(w*w+T*T))return void O();if(_){if(_*_>w*w+T*T)return void O();var k=_*Math.cos(h),A=_*Math.sin(h);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(b){if(b*b>w*w+T*T)return void O();var M=b*Math.cos(h),S=b*Math.sin(h);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),C=\"\";if(E<_+b)return void O();var L=p.getPointAtLength(0),I=p.getPointAtLength(.1);h=Math.atan2(L.y-I.y,L.x-I.x),o=p.getPointAtLength(Math.min(b,E)),C=\"0px,\"+b+\"px,\";var P=p.getPointAtLength(E),z=p.getPointAtLength(E-.1);f=Math.atan2(P.y-z.y,P.x-z.x),u=p.getPointAtLength(Math.max(0,E-_)),C+=E-(C?b+_:_)+\"px,\"+E+\"px\",t.style(\"stroke-dasharray\",C)}function O(){t.style(\"stroke-dasharray\",\"0px,100px\")}function D(e,a,o,u){e.path&&(e.noRotate&&(o=0),n.select(p.parentNode).append(\"path\").attr({class:t.attr(\"class\"),d:e.path,transform:c(a.x,a.y)+l(180*o/Math.PI)+s(u)}).style({fill:i.rgb(r.arrowcolor),\"stroke-width\":0}))}v&&D(m,o,h,y),x&&D(d,u,f,g)}},3599:function(t,e,r){\"use strict\";var n=r(3377),i=r(6035);t.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:r(50222),supplyLayoutDefaults:r(63737),includeBasePlot:r(20706)(\"annotations\"),calcAutorange:r(60317),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:r(59741)}},38239:function(t,e,r){\"use strict\";var n=r(50222),i=r(13582).overrideAll,a=r(78032).templatedArray;t.exports=i(a(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},47979:function(t,e,r){\"use strict\";var n=r(34809),i=r(29714);function a(t,e){var r=e.fullSceneLayout.domain,a=e.fullLayout._size,o={pdata:null,type:\"linear\",autorange:!1,range:[-1/0,1/0]};t._xa={},n.extendFlat(t._xa,o),i.setConvert(t._xa),t._xa._offset=a.l+r.x[0]*a.w,t._xa.l2p=function(){return.5*(1+t._pdata[0]/t._pdata[3])*a.w*(r.x[1]-r.x[0])},t._ya={},n.extendFlat(t._ya,o),i.setConvert(t._ya),t._ya._offset=a.t+(1-r.y[1])*a.h,t._ya.l2p=function(){return.5*(1-t._pdata[1]/t._pdata[3])*a.h*(r.y[1]-r.y[0])}}t.exports=function(t){for(var e=t.fullSceneLayout.annotations,r=0;r<e.length;r++)a(e[r],t);t.fullLayout._infolayer.selectAll(\".annotation-\"+t.id).remove()}},34232:function(t,e,r){\"use strict\";var n=r(34809),i=r(29714),a=r(59008),o=r(53271),s=r(38239);function l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function c(t){var n=t+\"axis\",a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(\"visible\")&&(o(t,e,a.fullLayout,l),c(\"x\"),c(\"y\"),c(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}t.exports=function(t,e,r){a(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},9756:function(t,e,r){\"use strict\";var n=r(3377).drawRaw,i=r(25802),a=[\"x\",\"y\",\"z\"];t.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],c=!1,u=0;u<3;u++){var h=a[u],f=l[h],p=e[h+\"axis\"].r2fraction(f);if(p<0||p>1){c=!0;break}}c?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},83348:function(t,e,r){\"use strict\";var n=r(33626),i=r(34809);t.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:r(38239)}}},layoutAttributes:r(38239),handleDefaults:r(34232),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(r)for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:r(47979),draw:r(9756)}},37177:function(t,e,r){\"use 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This does not set the calendar for\",\"interpreting data on this axis, that's specified in the trace\",\"or via the global `layout.calendar`\"].join(\" \"));t.exports={moduleType:\"component\",name:\"calendars\",schema:{traces:{scatter:y,bar:y,box:y,heatmap:y,contour:y,histogram:y,histogram2d:y,histogram2dcontour:y,scatter3d:v,surface:v,mesh3d:v,scattergl:y,ohlc:g,candlestick:g},layout:{calendar:d([\"Sets the default calendar system to use for interpreting and\",\"displaying dates throughout the plot.\"].join(\" \"))},subplots:{xaxis:{calendar:x},yaxis:{calendar:x},scene:{xaxis:{calendar:x},yaxis:{calendar:x},zaxis:{calendar:x}},polar:{radialaxis:{calendar:x}}},transforms:{filter:{valuecalendar:d([\"WARNING: All transforms are deprecated and may be removed from the API in next major version.\",\"Sets the calendar system to use for `value`, if it is a date.\"].join(\" \")),targetcalendar:d([\"WARNING: All transforms are deprecated and may be removed from the API in next major version.\",\"Sets the calendar system to use for `target`, if it is an\",\"array of dates. 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e?e.ypx:J[0]._length/2;if(e.pointerX=_t+$[0]._offset,e.pointerY=bt+J[0]._offset,nt=\"xval\"in e?x.flat(_,e.xval):x.p2c($,_t),it=\"yval\"in e?x.flat(_,e.yval):x.p2c(J,bt),!i(nt[0])||!i(it[0]))return o.warn(\"Fx.hover failed\",e,t),m.unhoverRaw(t,e)}var At=1/0;function Mt(r,n){for(ot=0;ot<yt.length;ot++)if((st=yt[ot])&&st[0]&&st[0].trace&&!0===(lt=st[0].trace).visible&&0!==lt._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(lt._module.name)){if(ht=S,x.isUnifiedHover(ht)&&(ht=ht.charAt(0)),\"splom\"===lt.type?ct=_[ut=0]:(ct=x.getSubplot(lt),ut=_.indexOf(ct)),dt={cd:st,trace:lt,xa:$[ut],ya:J[ut],maxHoverDistance:et,maxSpikeDistance:rt,index:!1,distance:Math.min(At,et),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:d.defaultLine,name:lt.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},b[ct]&&(dt.subplot=b[ct]._subplot),b._splomScenes&&b._splomScenes[lt.uid]&&(dt.scene=b._splomScenes[lt.uid]),\"array\"===ht){var a=e[ot];\"pointNumber\"in a?(dt.index=a.pointNumber,ht=\"closest\"):(ht=\"\",\"xval\"in a&&(ft=a.xval,ht=\"x\"),\"yval\"in a&&(pt=a.yval,ht=ht?\"closest\":\"y\"))}else void 0!==r&&void 0!==n?(ft=r,pt=n):(ft=nt[ut],pt=it[ut]);if(mt=gt.length,0!==et)if(lt._module&&lt._module.hoverPoints){var s=lt._module.hoverPoints(dt,ft,pt,ht,{finiteRange:!0,hoverLayer:b._hoverlayer,hoversubplots:w,gd:t});if(s)for(var l,c=0;c<s.length;c++)l=s[c],i(l.x0)&&i(l.y0)&&gt.push(N(l,S))}else o.log(\"Unrecognized trace type in hover:\",lt);if(\"closest\"===S&&gt.length>mt&&(gt.splice(0,mt),At=gt[0].distance),M&&0!==rt&&0===gt.length){dt.distance=rt,dt.index=!1;var u=lt._module.hoverPoints(dt,ft,pt,\"closest\",{hoverLayer:b._hoverlayer});if(u&&(u=u.filter((function(t){return t.spikeDistance<=rt}))),u&&u.length){var h,f=u.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(f.length){var p=f[0];i(p.x0)&&i(p.y0)&&(h=Et(p),(!vt.vLinePoint||vt.vLinePoint.spikeDistance>h.spikeDistance)&&(vt.vLinePoint=h))}var m=u.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(m.length){var g=m[0];i(g.x0)&&i(g.y0)&&(h=Et(g),(!vt.hLinePoint||vt.hLinePoint.spikeDistance>h.spikeDistance)&&(vt.hLinePoint=h))}}}}}function St(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)h&&h._id!==t[o].xa._id||p&&p._id!==t[o].ya._id||(n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n));return i}function Et(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}Mt();var Ct={fullLayout:b,container:b._hoverlayer,event:e},Lt=t._spikepoints,It={vLinePoint:vt.vLinePoint,hLinePoint:vt.hLinePoint};t._spikepoints=It;var Pt=function(){var t=gt.filter((function(t){return h&&h._id===t.xa._id&&p&&p._id===t.ya._id})),e=gt.filter((function(t){return!(h&&h._id===t.xa._id&&p&&p._id===t.ya._id)}));t.sort(P),e.sort(P),gt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];v.traceIs(s.trace,\"bar-like\")||v.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(gt=t.concat(e),S)};Pt();var zt=S.charAt(0),Ot=(\"x\"===zt||\"y\"===zt)&&gt[0]&&I[gt[0].trace.type];if(M&&0!==rt&&0!==gt.length){var Dt=St(gt.filter((function(t){return t.ya.showspikes})),rt,Ot);vt.hLinePoint=Et(Dt);var Rt=St(gt.filter((function(t){return t.xa.showspikes})),rt,Ot);vt.vLinePoint=Et(Rt)}if(0===gt.length){var Ft=m.unhoverRaw(t,e);return!M||null===vt.hLinePoint&&null===vt.vLinePoint||U(Lt)&&j(t,vt,Ct),Ft}if(M&&U(Lt)&&j(t,vt,Ct),x.isXYhover(ht)&&0!==gt[0].length&&\"splom\"!==gt[0].trace.type){var Bt=gt[0],Nt=(gt=L[Bt.trace.type]?gt.filter((function(t){return t.trace.index===Bt.trace.index})):[Bt]).length;Mt(q(\"x\",Bt,b),q(\"y\",Bt,b));var jt,Ut=[],Vt={},qt=0,Ht=function(t){var e=L[t.trace.type]?z(t):t.trace.index;if(Vt[e]){var r=Vt[e]-1,n=Ut[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(Ut[r]=t)}else qt++,Vt[e]=qt,Ut.push(t)};for(jt=0;jt<Nt;jt++)Ht(gt[jt]);for(jt=gt.length-1;jt>Nt-1;jt--)Ht(gt[jt]);gt=Ut,Pt()}var Gt=t._hoverdata,Zt=[],Wt=H(t),Yt=G(t);for(at=0;at<gt.length;at++){var Xt=gt[at],$t=x.makeEventData(Xt,Xt.trace,Xt.cd);if(!1!==Xt.hovertemplate){var Jt=!1;Xt.cd[Xt.index]&&Xt.cd[Xt.index].ht&&(Jt=Xt.cd[Xt.index].ht),Xt.hovertemplate=Jt||Xt.trace.hovertemplate||!1}if(Xt.xa&&Xt.ya){var Kt=Xt.x0+Xt.xa._offset,Qt=Xt.x1+Xt.xa._offset,te=Xt.y0+Xt.ya._offset,ee=Xt.y1+Xt.ya._offset,re=Math.min(Kt,Qt),ne=Math.max(Kt,Qt),ie=Math.min(te,ee),ae=Math.max(te,ee);$t.bbox={x0:re+Yt,x1:ne+Yt,y0:ie+Wt,y1:ae+Wt}}Xt.eventData=[$t],Zt.push($t)}t._hoverdata=Zt;var oe=\"y\"===S&&(yt.length>1||gt.length>1)||\"closest\"===S&&xt&&gt.length>1,se=d.combine(b.plot_bgcolor||d.background,b.paper_bgcolor),le=D(gt,{gd:t,hovermode:S,rotateLabels:oe,bgColor:se,container:b._hoverlayer,outerContainer:b._paper.node(),commonLabelOpts:b.hoverlabel,hoverdistance:b.hoverdistance}),ce=le.hoverLabels;if(x.isUnifiedHover(S)||(function(t,e,r,n){var i,a,o,s,l,c,u,h=e?\"xa\":\"ya\",f=e?\"ya\":\"xa\",p=0,d=1,m=t.size(),g=new Array(m),y=0,v=n.minX,x=n.maxX,_=n.minY,b=n.maxY,w=function(t){return t*r._invScaleX},T=function(t){return t*r._invScaleY};function k(t){var e=t[0],r=t[t.length-1];if(a=e.pmin-e.pos-e.dp+e.size,o=r.pos+r.dp+r.size-e.pmax,a>.01){for(l=t.length-1;l>=0;l--)t[l].dp+=a;i=!1}if(!(o<.01)){if(a<-.01){for(l=t.length-1;l>=0;l--)t[l].dp-=o;i=!1}if(i){var n=0;for(s=0;s<t.length;s++)(c=t[s]).pos+c.dp+c.size>e.pmax&&n++;for(s=t.length-1;s>=0&&!(n<=0);s--)(c=t[s]).pos>e.pmax-1&&(c.del=!0,n--);for(s=0;s<t.length&&!(n<=0);s++)if((c=t[s]).pos<e.pmin+1)for(c.del=!0,n--,o=2*c.size,l=t.length-1;l>=0;l--)t[l].dp-=o;for(s=t.length-1;s>=0&&!(n<=0);s--)(c=t[s]).pos+c.dp+c.size>e.pmax&&(c.del=!0,n--)}}}for(t.each((function(t){var n=t[h],i=t[f],a=\"x\"===n._id.charAt(0),o=n.range;0===y&&o&&o[0]>o[1]!==a&&(d=-1);var s=0,l=a?r.width:r.height;if(\"x\"===r.hovermode||\"y\"===r.hovermode){var c,u,p=F(t,e),m=t.anchor,k=\"end\"===m?-1:1;if(\"middle\"===m)u=(c=t.crossPos+(a?T(p.y-t.by/2):w(t.bx/2+t.tx2width/2)))+(a?T(t.by):w(t.bx));else if(a)u=(c=t.crossPos+T(E+p.y)-T(t.by/2-E))+T(t.by);else{var M=w(k*E+p.x),S=M+w(k*t.bx);c=t.crossPos+Math.min(M,S),u=t.crossPos+Math.max(M,S)}a?void 0!==_&&void 0!==b&&Math.min(u,b)-Math.max(c,_)>1&&(\"left\"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==v&&void 0!==x&&Math.min(u,x)-Math.max(c,v)>1&&(\"top\"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?A:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=m;){for(p++,i=!0,s=0;s<g.length-1;){var M=g[s],S=g[s+1],C=M[M.length-1],L=S[0];if((a=C.pos+C.dp+C.size-L.pos-L.dp+L.size)>.01){for(l=S.length-1;l>=0;l--)S[l].dp+=a;for(M.push.apply(M,S),g.splice(s+1,1),u=0,l=M.length-1;l>=0;l--)u+=M[l].dp;for(o=u/M.length,l=M.length-1;l>=0;l--)M[l].dp-=o;i=!1}else s++}g.forEach(k)}for(s=g.length-1;s>=0;s--){var I=g[s];for(l=I.length-1;l>=0;l--){var P=I[l],z=P.datum;z.offset=P.dp,z.del=P.del}}}(ce,oe,b,le.commonLabelBoundingBox),B(ce,oe,b._invScaleX,b._invScaleY)),l&&l.tagName){var ue=v.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,Zt);f(n.select(l),ue?\"pointer\":\"\")}l&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Gt)&&(Gt&&t.emit(\"plotly_unhover\",{event:e,points:Gt}),t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:$,yaxes:J,xvals:nt,yvals:it}))}(t,e,r,a,l)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=H(i),o=G(i),s=D(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),h=Math.max(r,n),f=Math.min(s,l),p=Math.max(s,l),m=t.trace;if(v.traceIs(m,\"gl3d\")){var g=i._fullLayout[m.scene]._scene.container,y=g.offsetLeft,x=g.offsetTop;u+=y,h+=y,f+=x,p+=x}c.bbox={x0:u+o,x1:h+o,y0:f+a,y1:p+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||d.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,fontWeight:t.fontWeight,fontStyle:t.fontStyle,fontVariant:t.fontVariant,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||d.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(c=t.offset)})).each((function(t){t.offset-=c})),B(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var O=/<extra>([\\s\\S]*)<\\/extra>/;function D(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,s=e.rotateLabels,u=e.bgColor,f=e.container,m=e.outerContainer,g=e.commonLabelOpts||{};if(0===t.length)return[[]];var y=e.fontFamily||_.HOVERFONT,k=e.fontSize||_.HOVERFONTSIZE,A=e.fontWeight||i.font.weight,M=e.fontStyle||i.font.style,S=e.fontVariant||i.font.variant,L=e.fontTextcase||i.font.textcase,I=e.fontLineposition||i.font.lineposition,P=e.fontShadow||i.font.shadow,O=t[0],D=O.xa,F=O.ya,B=a.charAt(0),N=B+\"Label\",j=O[N];if(void 0===j&&\"multicategory\"===D.type)for(var U=0;U<t.length&&void 0===(j=t[U][N]);U++);var V=Z(r,m),q=V.top,H=V.width,G=V.height,W=void 0!==j&&O.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(W){var Y,X,$=!0;for(Y=0;Y<t.length;Y++)if($&&void 0===t[Y].zLabel&&($=!1),X=t[Y].hoverinfo||t[Y].trace.hoverinfo){var J=Array.isArray(X)?X:X.split(\"+\");if(-1===J.indexOf(\"all\")&&-1===J.indexOf(a)){W=!1;break}}$&&(W=!1)}var K=f.selectAll(\"g.axistext\").data(W?[0]:[]);K.enter().append(\"g\").classed(\"axistext\",!0),K.exit().remove();var Q={minX:0,maxX:0,minY:0,maxY:0};if(K.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),s=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),c=g.bgcolor||d.defaultLine,u=g.bordercolor||d.contrast(c),f=d.contrast(c),m=g.font,v={weight:m.weight||A,style:m.style||M,variant:m.variant||S,textcase:m.textcase||L,lineposition:m.lineposition||I,shadow:m.shadow||P,family:m.family||y,size:m.size||k,color:m.color||f};e.style({fill:c,stroke:u}),s.text(j).call(p.font,v).call(h.positionText,0,0).call(h.convertToTspans,r),t.attr(\"transform\",\"\");var x,_,b=Z(r,s.node());if(\"x\"===a){var w=\"top\"===D.side?\"-\":\"\";s.attr(\"text-anchor\",\"middle\").call(h.positionText,0,\"top\"===D.side?q-b.bottom-E-C:q-b.top+E+C),x=D._offset+(O.x0+O.x1)/2,_=F._offset+(\"top\"===D.side?0:F._length);var T=b.width/2+C,z=x;x<T?z=T:x>i.width-T&&(z=i.width-T),e.attr(\"d\",\"M\"+(x-z)+\",0L\"+(x-z+E)+\",\"+w+E+\"H\"+T+\"v\"+w+(2*C+b.height)+\"H\"+-T+\"V\"+w+E+\"H\"+(x-z-E)+\"Z\"),x=z,Q.minX=x-T,Q.maxX=x+T,\"top\"===D.side?(Q.minY=_-(2*C+b.height),Q.maxY=_-C):(Q.minY=_+C,Q.maxY=_+(2*C+b.height))}else{var R,B,N;\"right\"===F.side?(R=\"start\",B=1,N=\"\",x=D._offset+D._length):(R=\"end\",B=-1,N=\"-\",x=D._offset),_=F._offset+(O.y0+O.y1)/2,s.attr(\"text-anchor\",R),e.attr(\"d\",\"M0,0L\"+N+E+\",\"+E+\"V\"+(C+b.height/2)+\"h\"+N+(2*C+b.width)+\"V-\"+(C+b.height/2)+\"H\"+N+E+\"V-\"+E+\"Z\"),Q.minY=_-(C+b.height/2),Q.maxY=_+(C+b.height/2),\"right\"===F.side?(Q.minX=x+E,Q.maxX=x+E+(2*C+b.width)):(Q.minX=x-E-(2*C+b.width),Q.maxX=x-E);var U,V=b.height/2,H=q-b.top-V,G=\"clip\"+i._uid+\"commonlabel\"+F._id;if(x<b.width+2*C+E){U=\"M-\"+(E+C)+\"-\"+V+\"h-\"+(b.width-C)+\"V\"+V+\"h\"+(b.width-C)+\"Z\";var W=b.width-x+C;h.positionText(s,W,H),\"end\"===R&&s.selectAll(\"tspan\").each((function(){var t=n.select(this),e=p.tester.append(\"text\").text(t.text()).call(p.font,v),i=Z(r,e.node());Math.round(i.width)<Math.round(b.width)&&t.attr(\"x\",W-i.width),e.remove()}))}else h.positionText(s,B*(C+E),H),U=null;var Y=i._topclips.selectAll(\"#\"+G).data(U?[0]:[]);Y.enter().append(\"clipPath\").attr(\"id\",G).append(\"path\"),Y.exit().remove(),Y.select(\"path\").attr(\"d\",U),p.setClipUrl(s,U?G:null,r)}t.attr(\"transform\",l(x,_))})),x.isUnifiedHover(a)){f.selectAll(\"g.hovertext\").remove();var tt=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===tt.length)return[];var et=i.hoverlabel,rt=et.font,nt={showlegend:!0,legend:{title:{text:j,font:rt},font:rt,bgcolor:et.bgcolor,bordercolor:et.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},it={font:rt};b(nt,it,r._fullData);var at=it.legend;at.entries=[];for(var ot=0;ot<tt.length;ot++){var st=tt[ot];if(\"none\"!==st.hoverinfo){var lt=R(st,!0,a,i,j),ct=lt[0],ut=lt[1];st.name=ut,st.text=\"\"!==ut?ut+\" : \"+ct:ct;var ht=st.cd[st.index];ht&&(ht.mc&&(st.mc=ht.mc),ht.mcc&&(st.mc=ht.mcc),ht.mlc&&(st.mlc=ht.mlc),ht.mlcc&&(st.mlc=ht.mlcc),ht.mlw&&(st.mlw=ht.mlw),ht.mrc&&(st.mrc=ht.mrc),ht.dir&&(st.dir=ht.dir)),st._distinct=!0,at.entries.push([st])}}at.entries.sort((function(t,e){return t[0].trace.index-e[0].trace.index})),at.layer=f,at._inHover=!0,at._groupTitleFont=et.grouptitlefont,w(r,at);var 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0),-1===p.indexOf(\"name\")&&(t.name=void 0)),t}function j(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,c=r.event,u=!!e.hLinePoint,h=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),h||u){var f=d.combine(s.plot_bgcolor,s.paper_bgcolor);if(u){var m,y,v=e.hLinePoint;n=v&&v.xa,\"cursor\"===(i=v&&v.ya).spikesnap?(m=c.pointerX,y=c.pointerY):(m=n._offset+v.x,y=i._offset+v.y);var x,_,b=a.readability(v.color,f)<1.5?d.contrast(f):v.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||b,A=g.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,_=m),-1!==w.indexOf(\"across\")){var 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n=r(80337),i=r(10229);t.exports={_isSubplotObj:!0,visible:{valType:\"boolean\",dflt:!0,editType:\"legend\"},bgcolor:{valType:\"color\",editType:\"legend\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"legend\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"legend\"},font:n({editType:\"legend\"}),grouptitlefont:n({editType:\"legend\"}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"v\",editType:\"legend\"},traceorder:{valType:\"flaglist\",flags:[\"reversed\",\"grouped\"],extras:[\"normal\"],editType:\"legend\"},tracegroupgap:{valType:\"number\",min:0,dflt:10,editType:\"legend\"},entrywidth:{valType:\"number\",min:0,editType:\"legend\"},entrywidthmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"pixels\",editType:\"legend\"},indentation:{valType:\"number\",min:-15,dflt:0,editType:\"legend\"},itemsizing:{valType:\"enumerated\",values:[\"trace\",\"constant\"],dflt:\"trace\",editType:\"legend\"},itemwidth:{valType:\"number\",min:30,dflt:30,editType:\"legend\"},itemclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggle\",editType:\"legend\"},itemdoubleclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggleothers\",editType:\"legend\"},groupclick:{valType:\"enumerated\",values:[\"toggleitem\",\"togglegroup\"],dflt:\"togglegroup\",editType:\"legend\"},x:{valType:\"number\",editType:\"legend\"},xref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"legend\"},y:{valType:\"number\",editType:\"legend\"},yref:{valType:\"enumerated\",dflt:\"paper\",values:[\"container\",\"paper\"],editType:\"layoutstyle\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"legend\"},uirevision:{valType:\"any\",editType:\"none\"},valign:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"middle\",editType:\"legend\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"legend\"},font:n({editType:\"legend\"}),side:{valType:\"enumerated\",values:[\"top\",\"left\",\"top 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V,q=i.ensureSingle(N,\"g\",\"scrollbox\"),H=f.title;f._titleWidth=0,f._titleHeight=0,H.text?((V=i.ensureSingle(q,\"text\",w+\"titletext\")).attr(\"text-anchor\",\"start\").call(c.font,H.font).text(H.text),C(V,q,t,f,b)):q.selectAll(\".\"+w+\"titletext\").remove();var G=i.ensureSingle(N,\"rect\",\"scrollbar\",(function(t){t.attr(p.scrollBarEnterAttrs).call(u.fill,p.scrollBarColor)})),Z=q.selectAll(\"g.groups\").data(S);Z.enter().append(\"g\").attr(\"class\",\"groups\"),Z.exit().remove();var W=Z.selectAll(\"g.traces\").data(i.identity);W.enter().append(\"g\").attr(\"class\",\"traces\"),W.exit().remove(),W.style(\"opacity\",(function(t){var e=t[0].trace;return o.traceIs(e,\"pie-like\")?-1!==B.indexOf(t[0].label)?.5:1:\"legendonly\"===e.visible?.5:1})).each((function(){n.select(this).call(M,t,f)})).call(x,t,f).each((function(){T||n.select(this).call(E,t,w)})),i.syncOrAsync([a.previousPromises,function(){return function(t,e,r,i){var a=t._fullLayout,o=P(i);i||(i=a[o]);var 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P=S,z=E;S=k?i.constrain(S,0,d.width-f._width):P,E=M?i.constrain(E,0,d.height-f._effHeight):z,S!==P&&i.log(\"Constrain \"+w+\".x to make legend fit inside graph\"),E!==z&&i.log(\"Constrain \"+w+\".y to make legend fit inside graph\")}c.setTranslate(N,S,E)}if(G.on(\".drag\",null),N.on(\"wheel\",null),T||f._height<=f._maxHeight||t._context.staticPlot){var O=f._effHeight;T&&(O=f._height),U.attr({width:f._width-b,height:O-b,x:b/2,y:b/2}),c.setTranslate(q,0,0),j.select(\"rect\").attr({width:f._width-2*b,height:O-2*b,x:b,y:b}),c.setClipUrl(q,r,t),c.setRect(G,0,0,0,0),delete f._scrollY}else{var D,R,F,B=Math.max(p.scrollBarMinHeight,f._effHeight*f._effHeight/f._height),Z=f._effHeight-B-2*p.scrollBarMargin,W=f._height-f._effHeight,Y=Z/W,X=Math.min(f._scrollY||0,W);U.attr({width:f._width-2*b+p.scrollBarWidth+p.scrollBarMargin,height:f._effHeight-b,x:b/2,y:b/2}),j.select(\"rect\").attr({width:f._width-2*b+p.scrollBarWidth+p.scrollBarMargin,height:f._effHeight-2*b,x:b,y:b+X}),c.setClipUrl(q,r,t),K(X,B,Y),N.on(\"wheel\",(function(){K(X=i.constrain(f._scrollY+n.event.deltaY/Z*W,0,W),B,Y),0!==X&&X!==W&&n.event.preventDefault()}));var $=n.behavior.drag().on(\"dragstart\",(function(){var t=n.event.sourceEvent;D=\"touchstart\"===t.type?t.changedTouches[0].clientY:t.clientY,F=X})).on(\"drag\",(function(){var t=n.event.sourceEvent;2===t.buttons||t.ctrlKey||(R=\"touchmove\"===t.type?t.changedTouches[0].clientY:t.clientY,X=function(t,e,r){var n=(r-e)/Y+t;return i.constrain(n,0,W)}(F,D,R),K(X,B,Y))}));G.call($);var J=n.behavior.drag().on(\"dragstart\",(function(){var t=n.event.sourceEvent;\"touchstart\"===t.type&&(D=t.changedTouches[0].clientY,F=X)})).on(\"drag\",(function(){var t=n.event.sourceEvent;\"touchmove\"===t.type&&(R=t.changedTouches[0].clientY,X=function(t,e,r){var n=(e-r)/Y+t;return i.constrain(n,0,W)}(F,D,R),K(X,B,Y))}));q.call(J)}function K(e,r,n){f._scrollY=t._fullLayout[w]._scrollY=e,c.setTranslate(q,0,-e),c.setRect(G,f._width,p.scrollBarMargin+e*n,p.scrollBarWidth,r),j.select(\"rect\").attr(\"y\",b+e)}t._context.edits.legendPosition&&(N.classed(\"cursor-move\",!0),l.init({element:N.node(),gd:t,prepFn:function(t){if(t.target!==G.node()){var e=c.getTranslate(N);v=e.x,x=e.y}},moveFn:function(t,r){if(void 0!==v&&void 0!==x){var n=v+t,i=x+r;c.setTranslate(N,n,i),e=l.align(n,f._width,_.l,_.l+_.w,f.xanchor),u=l.align(i+f._height,-f._height,_.t+_.h,_.t,f.yanchor)}},doneFn:function(){if(void 0!==e&&void 0!==u){var r={};r[w+\".x\"]=e,r[w+\".y\"]=u,o.call(\"_guiRelayout\",t,r)}},clickFn:function(e,r){var n=s.selectAll(\"g.traces\").filter((function(){var t=this.getBoundingClientRect();return r.clientX>=t.left&&r.clientX<=t.right&&r.clientY>=t.top&&r.clientY<=t.bottom}));n.size()>0&&A(t,N,n,e,r)}}))}],t)}}function k(t,e,r){var n=t[0],i=n.width,a=e.entrywidthmode,o=n.trace.legendwidth||e.entrywidth;return\"fraction\"===a?e._maxWidth*o:r+(o||i)}function A(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label);var c=s.triggerHandler(t,\"plotly_legendclick\",l);if(1===n){if(!1===c)return;e._clickTimeout=setTimeout((function(){t._fullLayout&&f(r,t,n)}),t._context.doubleClickDelay)}else 2===n&&(e._clickTimeout&&clearTimeout(e._clickTimeout),t._legendMouseDownTime=0,!1!==s.triggerHandler(t,\"plotly_legenddoubleclick\",l)&&!1!==c&&f(r,t,n))}function M(t,e,r){var n,a,s=P(r),l=t.data()[0][0],u=l.trace,f=o.traceIs(u,\"pie-like\"),d=!r._inHover&&e._context.edits.legendText&&!f,m=r._maxNameLength;l.groupTitle?(n=l.groupTitle.text,a=l.groupTitle.font):(a=r.font,r.entries?n=l.text:(n=f?l.label:u.name,u._meta&&(n=i.templateString(n,u._meta))));var g=i.ensureSingle(t,\"text\",s+\"text\");g.attr(\"text-anchor\",\"start\").call(c.font,a).text(d?S(n,m):n);var y=r.indentation+r.itemwidth+2*p.itemGap;h.positionText(g,y,0),d?g.call(h.makeEditable,{gd:e,text:n}).call(C,t,e,r).on(\"edit\",(function(n){this.text(S(n,m)).call(C,t,e,r);var a=l.trace._fullInput||{},s={};if(o.hasTransform(a,\"groupby\")){var c=o.getTransformIndices(a,\"groupby\"),h=c[c.length-1],f=i.keyedContainer(a,\"transforms[\"+h+\"].styles\",\"target\",\"value.name\");f.set(l.trace._group,n),s=f.constructUpdate()}else 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a=t.select(\"g[class*=math-group]\"),o=a.node(),s=P(r);r||(r=e._fullLayout[s]);var l,u,f=r.borderwidth,d=(n===b?r.title.font:i.groupTitle?i.groupTitle.font:r.font).size*m;if(o){var g=c.bBox(o);l=g.height,u=g.width,n===b?c.setTranslate(a,f,f+.75*l):c.setTranslate(a,0,.25*l)}else{var y=\".\"+s+(n===b?\"title\":\"\")+\"text\",v=t.select(y),x=h.lineCount(v),_=v.node();if(l=d*x,u=_?c.bBox(_).width:0,n===b)\"left\"===r.title.side&&(u+=2*p.itemGap),h.positionText(v,f+p.titlePad,f+d);else{var w=2*p.itemGap+r.indentation+r.itemwidth;i.groupTitle&&(w=p.itemGap,u-=r.indentation+r.itemwidth),h.positionText(v,w,-d*((x-1)/2-.3))}}n===b?(r._titleWidth=u,r._titleHeight=l):(i.lineHeight=d,i.height=Math.max(l,16)+3,i.width=u)}else t.remove()}(e,r,n,i)}))}function L(t){return i.isRightAnchor(t)?\"right\":i.isCenterAnchor(t)?\"center\":\"left\"}function I(t){return i.isBottomAnchor(t)?\"bottom\":i.isMiddleAnchor(t)?\"middle\":\"top\"}function P(t){return t._id||\"legend\"}t.exports=function(t,e){if(e)T(t,e);else{var r=t._fullLayout,i=r._legends;r._infolayer.selectAll('[class^=\"legend\"]').each((function(){var t=n.select(this),e=t.attr(\"class\").split(\" \")[0];e.match(w)&&-1===i.indexOf(e)&&t.remove()}));for(var a=0;a<i.length;a++){var o=i[a];T(t,t._fullLayout[o])}}}},851:function(t,e,r){\"use strict\";var n=r(33626),i=r(57599);t.exports=function(t,e,r){var a,o,s=e._inHover,l=i.isGrouped(e),c=i.isReversed(e),u={},h=[],f=!1,p={},d=0,m=0;function g(t,n,a){if(!1!==e.visible&&(!r||t===e._id))if(\"\"!==n&&i.isGrouped(e))-1===h.indexOf(n)?(h.push(n),f=!0,u[n]=[a]):u[n].push(a);else{var o=\"~~i\"+d;h.push(o),u[o]=[a],d++}}for(a=0;a<t.length;a++){var y=t[a],v=y[0],x=v.trace,_=x.legend,b=x.legendgroup;if(s||x.visible&&x.showlegend)if(n.traceIs(x,\"pie-like\"))for(p[b]||(p[b]={}),o=0;o<y.length;o++){var w=y[o].label;p[b][w]||(g(_,b,{label:w,color:y[o].color,i:y[o].i,trace:x,pts:y[o].pts}),p[b][w]=!0,m=Math.max(m,(w||\"\").length))}else g(_,b,v),m=Math.max(m,(x.name||\"\").length)}if(!h.length)return[];var T=!f||!l,k=[];for(a=0;a<h.length;a++){var A=u[h[a]];T?k.push(A[0]):k.push(A)}for(T&&(k=[k]),a=0;a<k.length;a++){var M=1/0;for(o=0;o<k[a].length;o++){var S=k[a][o].trace.legendrank;M>S&&(M=S)}k[a][0]._groupMinRank=M,k[a][0]._preGroupSort=a}var E=function(t,e){return t.trace.legendrank-e.trace.legendrank||t._preSort-e._preSort};for(k.forEach((function(t,e){t[0]._preGroupSort=e})),k.sort((function(t,e){return t[0]._groupMinRank-e[0]._groupMinRank||t[0]._preGroupSort-e[0]._preGroupSort})),a=0;a<k.length;a++){k[a].forEach((function(t,e){t._preSort=e})),k[a].sort(E);var C=k[a][0].trace,L=null;for(o=0;o<k[a].length;o++){var I=k[a][o].trace.legendgrouptitle;if(I&&I.text){L=I,s&&(I.font=e._groupTitleFont);break}}if(c&&k[a].reverse(),L){var P=!1;for(o=0;o<k[a].length;o++)if(n.traceIs(k[a][o].trace,\"pie-like\")){P=!0;break}k[a].unshift({i:-1,groupTitle:L,noClick:P,trace:{showlegend:C.showlegend,legendgroup:C.legendgroup,visible:\"toggleitem\"===e.groupclick||C.visible}})}for(o=0;o<k[a].length;o++)k[a][o]=[k[a][o]]}return e._lgroupsLength=k.length,e._maxNameLength=m,k}},22165:function(t,e,r){\"use strict\";var n=r(33626),i=r(34809),a=i.pushUnique,o=!0;t.exports=function(t,e,r){var s=e._fullLayout;if(!e._dragged&&!e._editing){var l,c=s.legend.itemclick,u=s.legend.itemdoubleclick,h=s.legend.groupclick;if(1===r&&\"toggle\"===c&&\"toggleothers\"===u&&o&&e.data&&e._context.showTips?(i.notifier(i._(e,\"Double-click on legend to isolate one trace\"),\"long\"),o=!1):o=!1,1===r?l=c:2===r&&(l=u),l){var f=\"togglegroup\"===h,p=s.hiddenlabels?s.hiddenlabels.slice():[],d=t.data()[0][0];if(!d.groupTitle||!d.noClick){var m=e._fullData,g=(s.shapes||[]).filter((function(t){return 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r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),h(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),b(t,\"geo\"),b(t,\"mapbox\"),b(t,\"map\")}},u.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return c(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},u.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return c(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){b(t,\"mapbox\")}},u.resetViewMap={name:\"resetViewMap\",_cat:\"resetView\",title:function(t){return c(t,\"Reset 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n=r(5832),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},17683:function(t,e,r){\"use strict\";var n=r(34809),i=r(78766),a=r(78032),o=r(50308);t.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var c=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(c,.3)),l(\"activecolor\",i.addOpacity(c,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},95433:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:r(50308),supplyLayoutDefaults:r(17683),manage:r(75442)}},75442:function(t,e,r){\"use strict\";var n=r(5975),i=r(64726),a=r(33626),o=r(36040).isUnifiedHover,s=r(85393),l=r(5832),c=r(87632).DRAW_MODES,u=r(34809).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,h=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var f,p=r.modeBarButtons;f=Array.isArray(p)&&p.length?function(t){for(var e=u([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" 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e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),E=o(e.hovermode),C=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,c=0;c<d.length;c++){var u=d[c].toLowerCase();if(u===a||u===o){s=!0;break}}s||e.push(l[n])}C.push(e)}}var I=[\"toImage\"];s.showEditInChartStudio?I.push(\"editInChartStudio\"):s.showSendToCloud&&I.push(\"sendDataToCloud\"),L(I);var P=[],z=[],O=[],D=[];(m||_||v||x||b)+y+g+w+T+k+A>1?(z=[\"toggleHover\"],O=[\"resetViews\"]):y?(P=[\"zoomInGeo\",\"zoomOutGeo\"],z=[\"hoverClosestGeo\"],O=[\"resetGeo\"]):g?(z=[\"hoverClosest3d\"],O=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],z=[\"toggleHover\"],O=[\"resetViewMapbox\"]):T?(P=[\"zoomInMap\",\"zoomOutMap\"],z=[\"toggleHover\"],O=[\"resetViewMap\"]):_?z=[\"hoverClosestGl2d\"]:v?z=[\"hoverClosestPie\"]:M?(z=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],O=[\"resetViewSankey\"]):z=[\"toggleHover\"],m&&z.push(\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"),(function(t){for(var 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w=\"top\";l.isBottomAnchor(r)&&(_-=f,w=\"bottom\"),l.isMiddleAnchor(r)&&(_-=f/2,w=\"middle\"),h=Math.ceil(h),f=Math.ceil(f),x=Math.round(x),_=Math.round(_),a.autoMargin(t,i+\"-range-selector\",{x:r.x,y:r.y,l:h*d[b],r:h*m[b],b:f*m[w],t:f*d[w]}),o.attr(\"transform\",c(x,_))}(t,f,h,o._name,r)}))}},16383:function(t,e,r){\"use strict\";var n=r(50936),i=r(34809).titleCase;t.exports=function(t,e){var r=t._name,a={};if(\"all\"===e.step)a[r+\".autorange\"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n[\"utc\"+i(s)],c=e.count;switch(e.stepmode){case\"backward\":r=t.l2r(+l.offset(o,-c));break;case\"todate\":var u=l.offset(o,-c);r=t.l2r(+l.ceil(u))}return[r,a[1]]}(t,e);a[r+\".range[0]\"]=o[0],a[r+\".range[1]\"]=o[1]}return a}},44453:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"rangeselector\",schema:{subplots:{xaxis:{rangeselector:r(91032)}}},layoutAttributes:r(91032),handleDefaults:r(86255),draw:r(45431)}},63608:function(t,e,r){\"use 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n=r(34809),i=r(78032),a=r(5975),o=r(63608),s=r(66249);t.exports=function(t,e,r){var l=t[r],c=e[r];if(l.rangeslider||e._requestRangeslider[c._id]){n.isPlainObject(l.rangeslider)||(l.rangeslider={});var u,h,f=l.rangeslider,p=i.newContainer(c,\"rangeslider\");if(b(\"visible\")){b(\"bgcolor\",e.plot_bgcolor),b(\"bordercolor\"),b(\"borderwidth\"),b(\"thickness\"),b(\"autorange\",!c.isValidRange(f.range)),b(\"range\");var d=e._subplots;if(d)for(var m=d.cartesian.filter((function(t){return t.substr(0,t.indexOf(\"y\"))===a.name2id(r)})).map((function(t){return t.substr(t.indexOf(\"y\"),t.length)})),g=n.simpleMap(m,a.id2name),y=0;y<g.length;y++){var v=g[y];u=f[v]||{},h=i.newContainer(p,v,\"yaxis\");var x,_=e[v];u.range&&_.isValidRange(u.range)&&(x=\"fixed\"),\"match\"!==w(\"rangemode\",x)&&w(\"range\",_.range.slice())}p._input=f}}function b(t,e){return n.coerce(f,p,o,t,e)}function w(t,e){return n.coerce(u,h,s,t,e)}}},88887:function(t,e,r){\"use strict\";var 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b(t,e,r,n){e._context.staticPlot||o.ensureSingle(t,\"rect\",m.slideBoxClassName,(function(t){t.attr({y:0,cursor:m.slideBoxCursor,\"shape-rendering\":\"crispEdges\"})})).attr({height:n._height,fill:m.slideBoxFill})}function w(t,e,r,n){var i=o.ensureSingle(t,\"g\",m.grabberMinClassName),a=o.ensureSingle(t,\"g\",m.grabberMaxClassName),s={x:0,width:m.handleWidth,rx:m.handleRadius,fill:c.background,stroke:c.defaultLine,\"stroke-width\":m.handleStrokeWidth,\"shape-rendering\":\"crispEdges\"},l={y:Math.round(n._height/4),height:Math.round(n._height/2)};o.ensureSingle(i,\"rect\",m.handleMinClassName,(function(t){t.attr(s)})).attr(l),o.ensureSingle(a,\"rect\",m.handleMaxClassName,(function(t){t.attr(s)})).attr(l);var u={width:m.grabAreaWidth,x:0,y:0,fill:m.grabAreaFill,cursor:e._context.staticPlot?void 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T,k=o.simpleMap(l.range,r.r2l),A=o.simpleMap(r.range,r.r2l);T=A[0]<A[1]?[Math.min(k[0],A[0]),Math.max(k[1],A[1])]:[Math.max(k[0],A[0]),Math.min(k[1],A[1])],l.range=l._input.range=o.simpleMap(T,r.l2r)}r.cleanRange(\"rangeslider.range\");var M=e._size,S=r.domain;l._width=M.w*(S[1]-S[0]);var E=Math.round(M.l+M.w*S[0]),C=Math.round(M.t+M.h*(1-r._counterDomainMin)+(\"bottom\"===r.side?r._depth:0)+l._offsetShift+m.extraPad);a.attr(\"transform\",s(E,C)),l._rl=o.simpleMap(l.range,r.r2l);var L=l._rl[0],I=l._rl[1],P=I-L;if(l.p2d=function(t){return t/l._width*P+L},l.d2p=function(t){return(t-L)/P*l._width},r.rangebreaks){var z=r.locateBreaks(L,I);if(z.length){var O,D,R=0;for(O=0;O<z.length;O++)R+=(D=z[O]).max-D.min;var F=l._width/(I-L-R),B=[-F*L];for(O=0;O<z.length;O++)D=z[O],B.push(B[B.length-1]-F*(D.max-D.min));for(l.d2p=function(t){for(var e=B[0],r=0;r<z.length;r++){var n=z[r];if(t>=n.max)e=B[r+1];else if(t<n.min)break}return 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r=t._fullLayout,n=e[s],l=e._id.charAt(0),c=0,u=0;return\"bottom\"===e.side&&(c=e._depth,e.title.text!==r._dfltTitle[l]&&(u=1.5*e.title.font.size+10+n._offsetShift,u+=(e.title.text.match(i.BR_TAG_ALL)||[]).length*e.title.font.size*o)),{x:0,y:e._counterDomainMin,l:0,r:0,t:0,b:n._height+c+Math.max(r.margin.b,u),pad:a.extraPad+2*n._offsetShift}}},55429:function(t,e,r){\"use strict\";var n=r(34809),i=r(63608),a=r(66249),o=r(80400);t.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(63608),handleDefaults:r(41295),calcAutorange:r(46223),draw:r(88887),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},66249:function(t){\"use 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w=f(t)&&t._fullLayout._activeSelectionIndex===e;w&&(v=t._fullLayout.activeselection.fillcolor,y=t._fullLayout.activeselection.opacity);for(var T=[],k=1;k>=0;k--){var A=r.append(\"path\").attr(g).style(\"opacity\",k?.1:y).call(o.stroke,x).call(o.fill,v).call(s.dashLine,k?\"solid\":b,k?4+_:_);if(d(A,t,a),w){var M=l(t.layout,\"selections\",a);A.style({cursor:\"move\"});var S={element:A.node(),plotinfo:p,gd:t,editHelpers:M,isActiveSelection:!0},E=n(c,t);i(E,A,S)}else A.style(\"pointer-events\",k?\"all\":\"none\");T[k]=A}var C=T[0];T[1].node().addEventListener(\"click\",(function(){return function(t,e){if(f(t)){var r=+e.node().getAttribute(\"data-index\");if(r>=0){if(r===t._fullLayout._activeSelectionIndex)return void m(t);t._fullLayout._activeSelectionIndex=r,t._fullLayout._deactivateSelection=m,h(t)}}}(t,C)}))}(t._fullLayout._selectionLayer)}function d(t,e,r){var n=r.xref+r.yref;s.setClipUrl(t,\"clip\"+e._fullLayout._uid+n,e)}function m(t){f(t)&&t._fullLayout._activeSelectionIndex>=0&&(a(t),delete t._fullLayout._activeSelectionIndex,h(t))}t.exports={draw:h,drawOne:p,activateLastSelection:function(t){if(f(t)){var e=t._fullLayout.selections.length-1;t._fullLayout._activeSelectionIndex=e,t._fullLayout._deactivateSelection=m,h(t)}}}},52307:function(t,e,r){\"use strict\";var n=r(94850).T,i=r(93049).extendFlat;t.exports={newselection:{mode:{valType:\"enumerated\",values:[\"immediate\",\"gradual\"],dflt:\"immediate\",editType:\"none\"},line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:1,dflt:1,editType:\"none\"},dash:i({},n,{dflt:\"dot\",editType:\"none\"}),editType:\"none\"},editType:\"none\"},activeselection:{fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"none\"},editType:\"none\"}}},43028:function(t){\"use 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v,x=o(a,c,h,d),_={xref:f._id,yref:p._id,opacity:u.opacity,line:{color:u.line.color,width:u.line.width,dash:u.line.dash}};1===x.length&&(v=x[0]),v&&5===v.length&&\"select\"===m?(_.type=\"rect\",_.x0=v[0][1],_.y0=v[0][2],_.x1=v[2][1],_.y1=v[2][2]):(_.type=\"path\",f&&p&&l(x,f,p),_.path=s(x),v=null),i(c);for(var b=e.editHelpers,w=(b||{}).modifyItem,T=[],k=0;k<g.length;k++){var A=c._fullLayout.selections[k];if(A){if(T[k]=A._input,void 0!==d&&k===c._fullLayout._activeSelectionIndex){var M=_;switch(A.type){case\"rect\":w(\"x0\",M.x0),w(\"x1\",M.x1),w(\"y0\",M.y0),w(\"y1\",M.y1);break;case\"path\":w(\"path\",M.path)}}}else T[k]=A}return void 0===d?(T.push(_),T):b?b.getUpdateObj():{}}}}},49801:function(t,e,r){\"use strict\";var n=r(34809).strTranslate;function i(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}t.exports={p2r:i,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},44844:function(t,e,r){\"use strict\";var n=r(7028),i=r(88666);t.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:r(4327),supplyLayoutDefaults:r(2272),supplyDrawNewSelectionDefaults:r(43028),includeBasePlot:r(20706)(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},88666:function(t,e,r){\"use strict\";var 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p=2*f*Math.PI/a;h.push([s+c*Math.cos(p),l+u*Math.sin(p)])}return h},e.ellipseOver=function(t){var e=t.x0,r=t.y0,n=t.x1,i=t.y1,a=n-e,s=i-r,l=((e-=a)+n)/2,c=((r-=s)+i)/2;return{x0:l-(a*=o),y0:c-(s*=o),x1:l+a,y1:c+s}},e.fixDatesForPaths=function(t,e,r){var n=\"date\"===e.type,i=\"date\"===r.type;if(!n&&!i)return t;for(var a=0;a<t.length;a++)for(var o=0;o<t[a].length;o++)for(var s=0;s+2<t[a][o].length;s+=2)n&&(t[a][o][s+1]=t[a][o][s+1].replace(\" \",\"_\")),i&&(t[a][o][s+2]=t[a][o][s+2].replace(\" \",\"_\"));return t}},87562:function(t,e,r){\"use strict\";var n=r(70414),i=n.drawMode,a=n.openMode,o=r(93391),s=o.i000,l=o.i090,c=o.i180,u=o.i270,h=o.cos45,f=o.sin45,p=r(49801),d=p.p2r,m=p.r2p,g=r(78534).clearOutline,y=r(81055),v=y.readPaths,x=y.writePaths,_=y.ellipseOver,b=y.fixDatesForPaths;function w(t,e,r){var n,i=t[0][0],o=e.gd,p=i.getAttribute(\"d\"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=v(p,o,y,w),C={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?\"paper\":T._id,yref:M?\"paper\":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(C.fillcolor=g.fillcolor,C.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)C.type=\"rect\",C.x0=n[0][1],C.y0=n[0][2],C.x1=n[2][1],C.y1=n[2][2];else if(n&&\"drawline\"===r)C.type=\"line\",C.x0=n[0][1],C.y0=n[0][2],C.x1=n[1][1],C.y1=n[1][2];else if(n&&\"drawcircle\"===r){C.type=\"circle\";var L=n[s][1],I=n[l][1],P=n[c][1],z=n[u][1],O=n[s][2],D=n[l][2],R=n[c][2],F=n[u][2],B=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),N=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);B&&(L=m(y.xaxis,L),I=m(y.xaxis,I),P=m(y.xaxis,P),z=m(y.xaxis,z)),N&&(O=m(y.yaxis,O),D=m(y.yaxis,D),R=m(y.yaxis,R),F=m(y.yaxis,F));var j=(I+z)/2,U=(O+R)/2,V=_({x0:j,y0:U,x1:j+(z-I+P-L)/2*h,y1:U+(F-D+R-O)/2*f});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),C.x0=V.x0,C.y0=V.y0,C.x1=V.x1,C.y1=V.y1}else C.type=\"path\",T&&k&&b(E,T,k),C.path=x(E),n=null;return C}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case\"rect\":a=\"drawrect\";break;case\"circle\":a=\"drawcircle\";break;case\"line\":a=\"drawline\";break;case\"path\":var l=o[s].path||\"\";a=\"Z\"===l[l.length-1]?\"drawclosedpath\":\"drawopenpath\"}}var c=w(t,e,a);g(r);for(var u=e.editHelpers,h=(u||{}).modifyItem,f=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(f[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var m=c;switch(d.type){case\"line\":case\"rect\":case\"circle\":h(\"x0\",m.x0-(d.x0shift||0)),h(\"x1\",m.x1-(d.x1shift||0)),h(\"y0\",m.y0-(d.y0shift||0)),h(\"y1\",m.y1-(d.y1shift||0));break;case\"path\":h(\"path\",m.path)}}}return void 0===n?(f.push(c),f):u?u.getUpdateObj():{}}},createShapeObj:w}},78534:function(t){\"use strict\";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._outlining=!1}}},49728:function(t,e,r){\"use strict\";var n=r(2956),i=r(34809),a=r(29714);function o(t,e){var r=0;return(e=e||0)&&t&&(\"category\"===t.type||\"multicategory\"===t.type)&&(r=(t.r2p(1)-t.r2p(0))*e),r}e.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return t}},e.shapePositionToRange=function(t){return\"log\"===t.type?t.d2r:function(t){return t}},e.decodeDate=function(t){return function(e){return e.replace&&(e=e.replace(\"_\",\" \")),t(e)}},e.encodeDate=function(t){return function(e){return t(e).replace(\" \",\"_\")}},e.extractPathCoords=function(t,e,r){var a=[];return t.match(n.segmentRE).forEach((function(t){var o=e[t.charAt(0)].drawn;if(void 0!==o){var s=t.substr(1).match(n.paramRE);if(s&&!(s.length<o)){var l=s[o],c=r?l:i.cleanNumber(l);a.push(c)}}})),a},e.getDataToPixel=function(t,r,n,i,a){var s,l=t._fullLayout._size;if(r)if(\"domain\"===a)s=function(t){return r._length*(i?1-t:t)+r._offset};else{var c=e.shapePositionToRange(r);s=function(t){var e=o(r,n);return r._offset+r.r2p(c(t,!0))+e},\"date\"===r.type&&(s=e.decodeDate(s))}else s=i?function(t){return l.t+l.h*(1-t)}:function(t){return l.l+l.w*t};return s},e.getPixelToData=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){var e=(t-r._offset)/r._length;return n?1-e:e};else{var s=e.rangeToShapePosition(r);a=function(t){return s(r.p2r(t-r._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},e.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},e.makeShapesOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&\"paper\"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&\"paper\"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}},e.makeSelectionsOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.selections[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),{options:r,plotinfo:n}},e.getPathString=function(t,r){var s,l,c,u,h,f,p,d,m=r.type,g=a.getRefType(r.xref),y=a.getRefType(r.yref),v=a.getFromId(t,r.xref),x=a.getFromId(t,r.yref),_=t._fullLayout._size,b=o(v,r.x0shift),w=o(v,r.x1shift),T=o(x,r.y0shift),k=o(x,r.y1shift);if(v?\"domain\"===g?l=function(t){return v._offset+v._length*t}:(s=e.shapePositionToRange(v),l=function(t){return v._offset+v.r2p(s(t,!0))}):l=function(t){return _.l+_.w*t},x?\"domain\"===y?u=function(t){return x._offset+x._length*(1-t)}:(c=e.shapePositionToRange(x),u=function(t){return x._offset+x.r2p(c(t,!0))}):u=function(t){return _.t+_.h*(1-t)},\"path\"===m)return v&&\"date\"===v.type&&(l=e.decodeDate(l)),x&&\"date\"===x.type&&(u=e.decodeDate(u)),function(t,e,r){var a=t.path,o=t.xsizemode,s=t.ysizemode,l=t.xanchor,c=t.yanchor;return a.replace(n.segmentRE,(function(t){var a=0,u=t.charAt(0),h=n.paramIsX[u],f=n.paramIsY[u],p=n.numParams[u],d=t.substr(1).replace(n.paramRE,(function(t){return h[a]?t=\"pixel\"===o?e(l)+Number(t):e(t):f[a]&&(t=\"pixel\"===s?r(c)-Number(t):r(t)),++a>p&&(t=\"X\"),t}));return a>p&&(d=d.replace(/[\\s,]*X.*/,\"\"),i.log(\"Ignoring extra params in segment \"+t)),u+d}))}(r,l,u);if(\"pixel\"===r.xsizemode){var A=l(r.xanchor);h=A+r.x0+b,f=A+r.x1+w}else h=l(r.x0)+b,f=l(r.x1)+w;if(\"pixel\"===r.ysizemode){var M=u(r.yanchor);p=M-r.y0+T,d=M-r.y1+k}else p=u(r.y0)+T,d=u(r.y1)+k;if(\"line\"===m)return\"M\"+h+\",\"+p+\"L\"+f+\",\"+d;if(\"rect\"===m)return\"M\"+h+\",\"+p+\"H\"+f+\"V\"+d+\"H\"+h+\"Z\";var S=(h+f)/2,E=(p+d)/2,C=Math.abs(S-h),L=Math.abs(E-p),I=\"A\"+C+\",\"+L,P=S+C+\",\"+E;return\"M\"+P+I+\" 0 1,1 \"+S+\",\"+(E-L)+I+\" 0 0,1 \"+P+\"Z\"}},43701:function(t,e,r){\"use strict\";var n=r(28231);t.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:r(43144),supplyLayoutDefaults:r(74367),supplyDrawNewShapeDefaults:r(85522),includeBasePlot:r(20706)(\"shapes\"),calcAutorange:r(44959),draw:n.draw,drawOne:n.drawOne}},41235:function(t){\"use strict\";function e(t,e){return e?e.d2l(t):t}function r(t,e){return e?e.l2d(t):t}function n(t){return t.x0shift||0}function i(t){return t.x1shift||0}function a(t){return t.y0shift||0}function o(t){return t.y1shift||0}function s(t,r){return e(t.x1,r)+i(t)-e(t.x0,r)-n(t)}function l(t,r,n){return e(t.y1,n)+o(t)-e(t.y0,n)-a(t)}t.exports={x0:function(t){return t.x0},x1:function(t){return t.x1},y0:function(t){return t.y0},y1:function(t){return t.y1},slope:function(t,e,r){return\"line\"!==t.type?void 0:l(t,0,r)/s(t,e)},dx:s,dy:l,width:function(t,e){return Math.abs(s(t,e))},height:function(t,e,r){return Math.abs(l(t,0,r))},length:function(t,e,r){return\"line\"!==t.type?void 0:Math.sqrt(Math.pow(s(t,e),2)+Math.pow(l(t,0,r),2))},xcenter:function(t,a){return r((e(t.x1,a)+i(t)+e(t.x0,a)+n(t))/2,a)},ycenter:function(t,n,i){return r((e(t.y1,i)+o(t)+e(t.y0,i)+a(t))/2,i)}}},8606:function(t,e,r){\"use strict\";var n=r(80337),i=r(57891),a=r(93049).extendDeepAll,o=r(13582).overrideAll,s=r(49722),l=r(78032).templatedArray,c=r(64194),u=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:u,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:c.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:c.railBgColor},bordercolor:{valType:\"color\",dflt:c.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:c.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:c.tickLength},tickcolor:{valType:\"color\",dflt:c.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:c.minorTickLength}}),\"arraydraw\",\"from-root\")},64194:function(t){\"use strict\";t.exports={name:\"sliders\",containerClassName:\"slider-container\",groupClassName:\"slider-group\",inputAreaClass:\"slider-input-area\",railRectClass:\"slider-rail-rect\",railTouchRectClass:\"slider-rail-touch-rect\",gripRectClass:\"slider-grip-rect\",tickRectClass:\"slider-tick-rect\",inputProxyClass:\"slider-input-proxy\",labelsClass:\"slider-labels\",labelGroupClass:\"slider-label-group\",labelClass:\"slider-label\",currentValueClass:\"slider-current-value\",railHeight:5,menuIndexAttrName:\"slider-active-index\",autoMarginIdRoot:\"slider-\",minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:\"#bec8d9\",railBgColor:\"#f8fafc\",railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:\"#bec8d9\",gripBgColor:\"#f6f8fa\",gripBgActiveColor:\"#dbdde0\",labelPadding:8,labelOffset:0,tickWidth:1,tickColor:\"#333\",tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:\"#333\",minorTickLength:4,currentValuePadding:8,currentValueInset:0}},74537:function(t,e,r){\"use 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n.coerce(t,e,s,r,i)}if(\"skip\"===t.method||Array.isArray(t.args)?r(\"visible\"):e.visible=!1){r(\"method\"),r(\"args\");var i=r(\"label\",\"step-\"+e._index);r(\"value\",i),r(\"execute\")}}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},44097:function(t,e,r){\"use strict\";var n=r(45568),i=r(44122),a=r(78766),o=r(62203),s=r(34809),l=s.strTranslate,c=r(30635),u=r(78032).arrayEditor,h=r(64194),f=r(4530),p=f.LINE_SPACING,d=f.FROM_TL,m=f.FROM_BR;function g(t){return h.autoMarginIdRoot+t._index}function y(t){return t._index}function v(t,e){var r=o.tester.selectAll(\"g.\"+h.labelGroupClass).data(e._visibleSteps);r.enter().append(\"g\").classed(h.labelGroupClass,!0);var a=0,l=0;r.each((function(t){var r=b(n.select(this),{step:t},e).node();if(r){var i=o.bBox(r);l=Math.max(l,i.height),a=Math.max(a,i.width)}})),r.remove();var u=e._dims={};u.inputAreaWidth=Math.max(h.railWidth,h.gripHeight);var f=t._fullLayout._size;u.lx=f.l+f.w*e.x,u.ly=f.t+f.h*(1-e.y),\"fraction\"===e.lenmode?u.outerLength=Math.round(f.w*e.len):u.outerLength=e.len,u.inputAreaStart=0,u.inputAreaLength=Math.round(u.outerLength-e.pad.l-e.pad.r);var p=(u.inputAreaLength-2*h.stepInset)/(e._stepCount-1),y=a+h.labelPadding;if(u.labelStride=Math.max(1,Math.ceil(y/p)),u.labelHeight=l,u.currentValueMaxWidth=0,u.currentValueHeight=0,u.currentValueTotalHeight=0,u.currentValueMaxLines=1,e.currentvalue.visible){var v=o.tester.append(\"g\");r.each((function(t){var r=x(v,e,t.label),n=r.node()&&o.bBox(r.node())||{width:0,height:0},i=c.lineCount(r);u.currentValueMaxWidth=Math.max(u.currentValueMaxWidth,Math.ceil(n.width)),u.currentValueHeight=Math.max(u.currentValueHeight,Math.ceil(n.height)),u.currentValueMaxLines=Math.max(u.currentValueMaxLines,i)})),u.currentValueTotalHeight=u.currentValueHeight+e.currentvalue.offset,v.remove()}u.height=u.currentValueTotalHeight+h.tickOffset+e.ticklen+h.labelOffset+u.labelHeight+e.pad.t+e.pad.b;var _=\"left\";s.isRightAnchor(e)&&(u.lx-=u.outerLength,_=\"right\"),s.isCenterAnchor(e)&&(u.lx-=u.outerLength/2,_=\"center\");var w=\"top\";s.isBottomAnchor(e)&&(u.ly-=u.height,w=\"bottom\"),s.isMiddleAnchor(e)&&(u.ly-=u.height/2,w=\"middle\"),u.outerLength=Math.ceil(u.outerLength),u.height=Math.ceil(u.height),u.lx=Math.round(u.lx),u.ly=Math.round(u.ly);var T={y:e.y,b:u.height*m[w],t:u.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[_],T.r=0,T.xr=e.x+e.len*m[_]):(T.x=e.x,T.l=u.outerLength*d[_],T.r=u.outerLength*m[_]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-h.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=h.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",h.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),u=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)u+=r;else{var f=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(f=s.templateString(f,d)),u+=f}e.currentvalue.suffix&&(u+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(u).call(c.convertToTspans,e._gd);var m=c.lineCount(l),g=(a.currentValueMaxLines+1-m)*e.currentvalue.font.size*p;return c.positionText(l,n,g),l}}function _(t,e,r){s.ensureSingle(t,\"rect\",h.gripRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")})).attr({width:h.gripWidth,height:h.gripHeight,rx:h.gripRadius,ry:h.gripRadius}).call(a.stroke,r.bordercolor).call(a.fill,r.bgcolor).style(\"stroke-width\",r.borderwidth+\"px\")}function b(t,e,r){var n=s.ensureSingle(t,\"text\",h.labelClass,(function(t){t.attr({\"text-anchor\":\"middle\",\"data-notex\":1})})),i=e.step.label,a=r._gd._fullLayout._meta;return a&&(i=s.templateString(i,a)),n.call(o.font,r.font).text(i).call(c.convertToTspans,r._gd),n}function w(t,e){var r=s.ensureSingle(t,\"g\",h.labelsClass),i=e._dims,a=r.selectAll(\"g.\"+h.labelGroupClass).data(i.labelSteps);a.enter().append(\"g\").classed(h.labelGroupClass,!0),a.exit().remove(),a.each((function(t){var r=n.select(this);r.call(b,t,e),o.setTranslate(r,E(e,t.fraction),h.tickOffset+e.ticklen+e.font.size*p+h.labelOffset+i.currentValueTotalHeight)}))}function T(t,e,r,n,i){var a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&k(t,e,r,o,!0,i)}function k(t,e,r,n,a,o){var s=r.active;r.active=n,u(t.layout,h.name,r).applyUpdate(\"active\",n);var l=r.steps[r.active];e.call(S,r,o),e.call(x,r),t.emit(\"plotly_sliderchange\",{slider:r,step:r.steps[r.active],interaction:a,previousActive:s}),l&&l.method&&a&&(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame((function(){var r=e._nextMethod.step;r.method&&(r.execute&&i.executeAPICommand(t,r.method,r.args),e._nextMethod=null,e._nextMethodRaf=null)}))))}function A(t,e,r){if(!e._context.staticPlot){var i=r.node(),o=n.select(e);t.on(\"mousedown\",l),t.on(\"touchstart\",l)}function s(){return r.data()[0]}function l(){var t=s();e.emit(\"plotly_sliderstart\",{slider:t});var l=r.select(\".\"+h.gripRectClass);n.event.stopPropagation(),n.event.preventDefault(),l.call(a.fill,t.activebgcolor);var c=C(t,n.mouse(i)[0]);function u(){var t=s(),a=C(t,n.mouse(i)[0]);T(e,r,t,a,!1)}function f(){var t=s();t._dragging=!1,l.call(a.fill,t.bgcolor),o.on(\"mouseup\",null),o.on(\"mousemove\",null),o.on(\"touchend\",null),o.on(\"touchmove\",null),e.emit(\"plotly_sliderend\",{slider:t,step:t.steps[t.active]})}T(e,r,t,c,!0),t._dragging=!0,o.on(\"mousemove\",u),o.on(\"touchmove\",u),o.on(\"mouseup\",f),o.on(\"touchend\",f)}}function M(t,e){var r=t.selectAll(\"rect.\"+h.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append(\"rect\").classed(h.tickRectClass,!0),r.exit().remove(),r.attr({width:e.tickwidth+\"px\",\"shape-rendering\":\"crispEdges\"}),r.each((function(t,r){var s=r%i.labelStride==0,l=n.select(this);l.attr({height:s?e.ticklen:e.minorticklen}).call(a.fill,e.tickcolor),o.setTranslate(l,E(e,r/(e._stepCount-1))-.5*e.tickwidth,(s?h.tickOffset:h.minorTickOffset)+i.currentValueTotalHeight)}))}function S(t,e,r){for(var n=t.select(\"rect.\"+h.gripRectClass),i=0,a=0;a<e._stepCount;a++)if(e._visibleSteps[a]._index===e.active){i=a;break}var o=E(e,i/(e._stepCount-1));if(!e._invokingCommand){var s=n;r&&e.transition.duration>0&&(s=s.transition().duration(e.transition.duration).ease(e.transition.easing)),s.attr(\"transform\",l(o-.5*h.gripWidth,e._dims.currentValueTotalHeight))}}function E(t,e){var r=t._dims;return r.inputAreaStart+h.stepInset+(r.inputAreaLength-2*h.stepInset)*Math.min(1,Math.max(0,e))}function C(t,e){var r=t._dims;return Math.min(1,Math.max(0,(e-h.stepInset-r.inputAreaStart)/(r.inputAreaLength-2*h.stepInset-2*r.inputAreaStart)))}function L(t,e,r){var n=r._dims,i=s.ensureSingle(t,\"rect\",h.railTouchRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")}));i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,h.tickOffset+r.ticklen+n.labelHeight)}).call(a.fill,r.bgcolor).attr(\"opacity\",0),o.setTranslate(i,0,n.currentValueTotalHeight)}function I(t,e){var r=e._dims,n=r.inputAreaLength-2*h.railInset,i=s.ensureSingle(t,\"rect\",h.railRectClass);i.attr({width:n,height:h.railWidth,rx:h.railRadius,ry:h.railRadius,\"shape-rendering\":\"crispEdges\"}).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\"),o.setTranslate(i,h.railInset,.5*(r.inputAreaWidth-h.railWidth)+r.currentValueTotalHeight)}t.exports=function(t){var e=t._context.staticPlot,r=t._fullLayout,a=function(t,e){for(var r=t[h.name],n=[],i=0;i<r.length;i++){var a=r[i];a.visible&&(a._gd=e,n.push(a))}return n}(r,t),s=r._infolayer.selectAll(\"g.\"+h.containerClassName).data(a.length>0?[0]:[]);function l(e){e._commandObserver&&(e._commandObserver.remove(),delete e._commandObserver),i.autoMargin(t,g(e))}if(s.enter().append(\"g\").classed(h.containerClassName,!0).style(\"cursor\",e?null:\"ew-resize\"),s.exit().each((function(){n.select(this).selectAll(\"g.\"+h.groupClassName).each(l)})).remove(),0!==a.length){var c=s.selectAll(\"g.\"+h.groupClassName).data(a,y);c.enter().append(\"g\").classed(h.groupClassName,!0),c.exit().each(l).remove();for(var u=0;u<a.length;u++){var f=a[u];v(t,f)}c.each((function(e){var r=n.select(this);!function(t){var e=t._dims;e.labelSteps=[];for(var r=t._stepCount,n=0;n<r;n+=e.labelStride)e.labelSteps.push({fraction:n/(r-1),step:t._visibleSteps[n]})}(e),i.manageCommandObserver(t,e,e._visibleSteps,(function(e){var n=r.data()[0];n.active!==e.index&&(n._dragging||k(t,r,n,e.index,!1,!0))})),function(t,e,r){(r.steps[r.active]||{}).visible||(r.active=r._visibleSteps[0]._index),e.call(x,r).call(I,r).call(w,r).call(M,r).call(L,t,r).call(_,t,r);var n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(S,r,!1),e.call(x,r)}(t,n.select(this),e)}))}}},15359:function(t,e,r){\"use strict\";var n=r(64194);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(8606),supplyLayoutDefaults:r(74537),draw:r(44097)}},17240:function(t,e,r){\"use strict\";var n=r(45568),i=r(10721),a=r(44122),o=r(33626),s=r(34809),l=s.strTranslate,c=r(62203),u=r(78766),h=r(30635),f=r(20438),p=r(4530).OPPOSITE_SIDE,d=/ [XY][0-9]* /;t.exports={draw:function(t,e,r){var m,g=t._fullLayout,y=r.propContainer,v=r.propName,x=r.placeholder,_=r.traceIndex,b=r.avoid||{},w=r.attributes,T=r.transform,k=r.containerGroup,A=1,M=y.title,S=(M&&M.text?M.text:\"\").trim(),E=!1,C=M&&M.font?M.font:{},L=C.family,I=C.size,P=C.color,z=C.weight,O=C.style,D=C.variant,R=C.textcase,F=C.lineposition,B=C.shadow,N=!!r.subtitlePropName,j=r.subtitlePlaceholder,U=(y.title||{}).subtitle||{text:\"\",font:{}},V=U.text.trim(),q=!1,H=1,G=U.font,Z=G.family,W=G.size,Y=G.color,X=G.weight,$=G.style,J=G.variant,K=G.textcase,Q=G.lineposition,tt=G.shadow;\"title.text\"===v?m=\"titleText\":-1!==v.indexOf(\"axis\")?m=\"axisTitleText\":v.indexOf(!0)&&(m=\"colorbarTitleText\");var et=t._context.edits[m];function rt(t,e){return void 0!==t&&void 0!==e&&t.replace(d,\" % \")===e.replace(d,\" % \")}\"\"===S?A=0:rt(S,x)&&(et||(S=\"\"),A=.2,E=!0),N&&(\"\"===V?H=0:rt(V,j)&&(et||(V=\"\"),H=.2,q=!0)),r._meta?S=s.templateString(S,r._meta):g._meta&&(S=s.templateString(S,g._meta));var nt,it=S||V||et;k||(k=s.ensureSingle(g._infolayer,\"g\",\"g-\"+e),nt=g._hColorbarMoveTitle);var at=k.selectAll(\"text.\"+e).data(it?[0]:[]);at.enter().append(\"text\"),at.text(S).attr(\"class\",e),at.exit().remove();var ot=null,st=e+\"-subtitle\",lt=V||et;if(N&&lt&&((ot=k.selectAll(\"text.\"+st).data(lt?[0]:[])).enter().append(\"text\"),ot.text(V).attr(\"class\",st),ot.exit().remove()),!it)return k;function ct(t,e){s.syncOrAsync([ut,ht],{title:t,subtitle:e})}function ut(r){var i,o=r.title,f=r.subtitle;if(!T&&nt&&(T={}),T?(i=\"\",T.rotate&&(i+=\"rotate(\"+[T.rotate,w.x,w.y]+\")\"),(T.offset||nt)&&(i+=l(0,(T.offset||0)-(nt||0)))):i=null,o.attr(\"transform\",i),o.style(\"opacity\",A*u.opacity(P)).call(c.font,{color:u.rgb(P),size:n.round(I,2),family:L,weight:z,style:O,variant:D,textcase:R,shadow:B,lineposition:F}).attr(w).call(h.convertToTspans,t,(function(t){if(t){var e=n.select(t.node().parentNode).select(\".\"+st);if(!e.empty()){var r=t.node().getBBox();if(r.height){var i=r.y+r.height+1.6*W;e.attr(\"y\",i)}}}})),f){var p=k.select(\".\"+e+\"-math-group\"),d=o.node().getBBox(),m=p.node()?p.node().getBBox():void 0,g=m?m.y+m.height+1.6*W:d.y+d.height+1.6*W,y=s.extendFlat({},w,{y:g});f.attr(\"transform\",i),f.style(\"opacity\",H*u.opacity(Y)).call(c.font,{color:u.rgb(Y),size:n.round(W,2),family:Z,weight:X,style:$,variant:J,textcase:K,shadow:tt,lineposition:Q}).attr(y).call(h.convertToTspans,t)}return a.previousPromises(t)}function ht(e){var r=e.title,a=n.select(r.node().parentNode);if(b&&b.selection&&b.side&&S){a.attr(\"transform\",null);var o=p[b.side],u=\"left\"===b.side||\"top\"===b.side?-1:1,h=i(b.pad)?b.pad:2,f=c.bBox(a.node()),d={t:0,b:0,l:0,r:0},m=t._fullLayout._reservedMargin;for(var v in m)for(var x in m[v]){var _=m[v][x];d[x]=Math.max(d[x],_)}var w={left:d.l,top:d.t,right:g.width-d.r,bottom:g.height-d.b},T=b.maxShift||u*(w[b.side]-f[b.side]),k=0;if(T<0)k=T;else{var 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pt=at.node().getBBox(),dt=pt.y+pt.height+1.6*W;ot.attr(\"y\",dt)}V?ot.on(\".opacity\",null):(ft(ot,j),q=!0),ot.call(h.makeEditable,{gd:t}).on(\"edit\",(function(e){o.call(\"_guiRelayout\",t,\"title.subtitle.text\",e)})).on(\"cancel\",(function(){this.text(this.attr(\"data-unformatted\")).call(ct)})).on(\"input\",(function(t){this.text(t||\" \").call(h.positionText,ot.attr(\"x\"),ot.attr(\"y\"))}))}return at.classed(\"js-placeholder\",E),ot&&ot.classed(\"js-placeholder\",q),k},SUBTITLE_PADDING_EM:1.6,SUBTITLE_PADDING_MATHJAX_EM:1.6}},85389:function(t,e,r){\"use strict\";var n=r(80337),i=r(10229),a=r(93049).extendFlat,o=r(13582).overrideAll,s=r(57891),l=r(78032).templatedArray,c=l(\"button\",{visible:{valType:\"boolean\"},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},args2:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\",dflt:\"\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"updatemenu\",{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:\"boolean\"},type:{valType:\"enumerated\",values:[\"dropdown\",\"buttons\"],dflt:\"dropdown\"},direction:{valType:\"enumerated\",values:[\"left\",\"right\",\"up\",\"down\"],dflt:\"down\"},active:{valType:\"integer\",min:-1,dflt:0},showactive:{valType:\"boolean\",dflt:!0},buttons:c,x:{valType:\"number\",min:-2,max:3,dflt:-.05},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"right\"},y:{valType:\"number\",min:-2,max:3,dflt:1},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},pad:a(s({editType:\"arraydraw\"}),{}),font:n({}),bgcolor:{valType:\"color\"},bordercolor:{valType:\"color\",dflt:i.borderLine},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"arraydraw\"}}),\"arraydraw\",\"from-root\")},71559:function(t){\"use strict\";t.exports={name:\"updatemenus\",containerClassName:\"updatemenu-container\",headerGroupClassName:\"updatemenu-header-group\",headerClassName:\"updatemenu-header\",headerArrowClassName:\"updatemenu-header-arrow\",dropdownButtonGroupClassName:\"updatemenu-dropdown-button-group\",dropdownButtonClassName:\"updatemenu-dropdown-button\",buttonClassName:\"updatemenu-button\",itemRectClassName:\"updatemenu-item-rect\",itemTextClassName:\"updatemenu-item-text\",menuIndexAttrName:\"updatemenu-active-index\",autoMarginIdRoot:\"updatemenu-\",blankHeaderOpts:{label:\"  \"},minWidth:30,minHeight:30,textPadX:24,arrowPadX:16,rx:2,ry:2,textOffsetX:12,textOffsetY:3,arrowOffsetX:4,gapButtonHeader:5,gapButton:2,activeColor:\"#F4FAFF\",hoverColor:\"#F4FAFF\",arrowSymbol:{left:\"◄\",right:\"►\",up:\"▲\",down:\"▼\"}}},42746:function(t,e,r){\"use strict\";var n=r(34809),i=r(59008),a=r(85389),o=r(71559).name,s=a.buttons;function l(t,e,r){function o(r,i){return n.coerce(t,e,a,r,i)}o(\"visible\",i(t,e,{name:\"buttons\",handleItemDefaults:c}).length>0)&&(o(\"active\"),o(\"direction\"),o(\"type\"),o(\"showactive\"),o(\"x\"),o(\"y\"),n.noneOrAll(t,e,[\"x\",\"y\"]),o(\"xanchor\"),o(\"yanchor\"),o(\"pad.t\"),o(\"pad.r\"),o(\"pad.b\"),o(\"pad.l\"),n.coerceFont(o,\"font\",r.font),o(\"bgcolor\",r.paper_bgcolor),o(\"bordercolor\"),o(\"borderwidth\"))}function c(t,e){function r(r,i){return n.coerce(t,e,s,r,i)}r(\"visible\",\"skip\"===t.method||Array.isArray(t.args))&&(r(\"method\"),r(\"args\"),r(\"args2\"),r(\"label\"),r(\"execute\"))}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},40974:function(t,e,r){\"use strict\";var n=r(45568),i=r(44122),a=r(78766),o=r(62203),s=r(34809),l=r(30635),c=r(78032).arrayEditor,u=r(4530).LINE_SPACING,h=r(71559),f=r(21736);function p(t){return t._index}function d(t,e){return+t.attr(h.menuIndexAttrName)===e._index}function m(t,e,r,n,i,a,o,s){e.active=o,c(t.layout,h.name,e).applyUpdate(\"active\",o),\"buttons\"===e.type?y(t,n,null,null,e):\"dropdown\"===e.type&&(i.attr(h.menuIndexAttrName,\"-1\"),g(t,n,i,a,e),s||y(t,n,i,a,e))}function g(t,e,r,n,i){var a=s.ensureSingle(e,\"g\",h.headerClassName,(function(t){t.style(\"pointer-events\",\"all\")})),l=i._dims,c=i.active,u=i.buttons[c]||h.blankHeaderOpts,f={y:i.pad.t,yPad:0,x:i.pad.l,xPad:0,index:0},p={width:l.headerWidth,height:l.headerHeight};a.call(v,i,u,t).call(M,i,f,p),s.ensureSingle(e,\"text\",h.headerArrowClassName,(function(t){t.attr(\"text-anchor\",\"end\").call(o.font,i.font).text(h.arrowSymbol[i.direction])})).attr({x:l.headerWidth-h.arrowOffsetX+i.pad.l,y:l.headerHeight/2+h.textOffsetY+i.pad.t}),a.on(\"click\",(function(){r.call(S,String(d(r,i)?-1:i._index)),y(t,e,r,n,i)})),a.on(\"mouseover\",(function(){a.call(w)})),a.on(\"mouseout\",(function(){a.call(T,i)})),o.setTranslate(e,l.lx,l.ly)}function y(t,e,r,a,o){r||(r=e).attr(\"pointer-events\",\"all\");var l=function(t){return-1==+t.attr(h.menuIndexAttrName)}(r)&&\"buttons\"!==o.type?[]:o.buttons,c=\"dropdown\"===o.type?h.dropdownButtonClassName:h.buttonClassName,u=r.selectAll(\"g.\"+c).data(s.filterVisible(l)),f=u.enter().append(\"g\").classed(c,!0),p=u.exit();\"dropdown\"===o.type?(f.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),p.transition().attr(\"opacity\",\"0\").remove()):p.remove();var d=0,g=0,y=o._dims,x=-1!==[\"up\",\"down\"].indexOf(o.direction);\"dropdown\"===o.type&&(x?g=y.headerHeight+h.gapButtonHeader:d=y.headerWidth+h.gapButtonHeader),\"dropdown\"===o.type&&\"up\"===o.direction&&(g=-h.gapButtonHeader+h.gapButton-y.openHeight),\"dropdown\"===o.type&&\"left\"===o.direction&&(d=-h.gapButtonHeader+h.gapButton-y.openWidth);var _={x:y.lx+d+o.pad.l,y:y.ly+g+o.pad.t,yPad:h.gapButton,xPad:h.gapButton,index:0},k={l:_.x+o.borderwidth,t:_.y+o.borderwidth};u.each((function(s,l){var c=n.select(this);c.call(v,o,s,t).call(M,o,_),c.on(\"click\",(function(){n.event.defaultPrevented||(s.execute&&(s.args2&&o.active===l?(m(t,o,0,e,r,a,-1),i.executeAPICommand(t,s.method,s.args2)):(m(t,o,0,e,r,a,l),i.executeAPICommand(t,s.method,s.args))),t.emit(\"plotly_buttonclicked\",{menu:o,button:s,active:o.active}))})),c.on(\"mouseover\",(function(){c.call(w)})),c.on(\"mouseout\",(function(){c.call(T,o),u.call(b,o)}))})),u.call(b,o),x?(k.w=Math.max(y.openWidth,y.headerWidth),k.h=_.y-k.t):(k.w=_.x-k.l,k.h=Math.max(y.openHeight,y.headerHeight)),k.direction=o.direction,a&&(u.size()?function(t,e,r,n,i,a){var o,s,l,c=i.direction,u=\"up\"===c||\"down\"===c,f=i._dims,p=i.active;if(u)for(s=0,l=0;l<p;l++)s+=f.heights[l]+h.gapButton;else for(o=0,l=0;l<p;l++)o+=f.widths[l]+h.gapButton;n.enable(a,o,s),n.hbar&&n.hbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),n.vbar&&n.vbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\")}(0,0,0,a,o,k):function(t){var e=!!t.hbar,r=!!t.vbar;e&&t.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){e=!1,r||t.disable()})),r&&t.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){r=!1,e||t.disable()}))}(a))}function v(t,e,r,n){t.call(x,e).call(_,e,r,n)}function x(t,e){s.ensureSingle(t,\"rect\",h.itemRectClassName,(function(t){t.attr({rx:h.rx,ry:h.ry,\"shape-rendering\":\"crispEdges\"})})).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\")}function _(t,e,r,n){var i=s.ensureSingle(t,\"text\",h.itemTextClassName,(function(t){t.attr({\"text-anchor\":\"start\",\"data-notex\":1})})),a=r.label,c=n._fullLayout._meta;c&&(a=s.templateString(a,c)),i.call(o.font,e.font).text(a).call(l.convertToTspans,n)}function b(t,e){var r=e.active;t.each((function(t,i){var o=n.select(this);i===r&&e.showactive&&o.select(\"rect.\"+h.itemRectClassName).call(a.fill,h.activeColor)}))}function w(t){t.select(\"rect.\"+h.itemRectClassName).call(a.fill,h.hoverColor)}function T(t,e){t.select(\"rect.\"+h.itemRectClassName).call(a.fill,e.bgcolor)}function k(t,e){var r=e._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},a=o.tester.selectAll(\"g.\"+h.dropdownButtonClassName).data(s.filterVisible(e.buttons));a.enter().append(\"g\").classed(h.dropdownButtonClassName,!0);var c=-1!==[\"up\",\"down\"].indexOf(e.direction);a.each((function(i,a){var s=n.select(this);s.call(v,e,i,t);var f=s.select(\".\"+h.itemTextClassName),p=f.node()&&o.bBox(f.node()).width,d=Math.max(p+h.textPadX,h.minWidth),m=e.font.size*u,g=l.lineCount(f),y=Math.max(m*g,h.minHeight)+h.textOffsetY;y=Math.ceil(y),d=Math.ceil(d),r.widths[a]=d,r.heights[a]=y,r.height1=Math.max(r.height1,y),r.width1=Math.max(r.width1,d),c?(r.totalWidth=Math.max(r.totalWidth,d),r.openWidth=r.totalWidth,r.totalHeight+=y+h.gapButton,r.openHeight+=y+h.gapButton):(r.totalWidth+=d+h.gapButton,r.openWidth+=d+h.gapButton,r.totalHeight=Math.max(r.totalHeight,y),r.openHeight=r.totalHeight)})),c?r.totalHeight-=h.gapButton:r.totalWidth-=h.gapButton,r.headerWidth=r.width1+h.arrowPadX,r.headerHeight=r.height1,\"dropdown\"===e.type&&(c?(r.width1+=h.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=h.arrowPadX),a.remove();var f=r.totalWidth+e.pad.l+e.pad.r,p=r.totalHeight+e.pad.t+e.pad.b,d=t._fullLayout._size;r.lx=d.l+d.w*e.x,r.ly=d.t+d.h*(1-e.y);var 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f(t,c,x);l.enter().size()&&(c.node().parentNode.appendChild(c.node()),c.call(S)),l.exit().each((function(t){c.call(S),a(t)})).remove(),l.each((function(e){var r=n.select(this),a=\"dropdown\"===e.type?c:null;i.manageCommandObserver(t,e,e.buttons,(function(n){m(t,e,e.buttons[n.index],r,a,_,n.index,!0)})),\"dropdown\"===e.type?(g(t,r,c,_,e),d(c,e)&&y(t,r,c,_,e)):y(t,r,null,null,e)}))}}},46230:function(t,e,r){\"use strict\";var n=r(71559);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(85389),supplyLayoutDefaults:r(42746),draw:r(40974)}},21736:function(t,e,r){\"use strict\";t.exports=s;var n=r(45568),i=r(78766),a=r(62203),o=r(34809);function s(t,e,r){this.gd=t,this.container=e,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll(\"rect.scrollbox-bg\").data([0]),this.bg.exit().on(\".drag\",null).on(\"wheel\",null).remove(),this.bg.enter().append(\"rect\").classed(\"scrollbox-bg\",!0).style(\"pointer-events\",\"all\").attr({opacity:0,x:0,y:0,width:0,height:0})}s.barWidth=2,s.barLength=20,s.barRadius=2,s.barPad=1,s.barColor=\"#808BA4\",s.prototype.enable=function(t,e,r){var o=this.gd._fullLayout,l=o.width,c=o.height;this.position=t;var u,h,f,p,d=this.position.l,m=this.position.w,g=this.position.t,y=this.position.h,v=this.position.direction,x=\"down\"===v,_=\"left\"===v,b=\"up\"===v,w=m,T=y;x||_||\"right\"===v||b||(this.position.direction=\"down\",x=!0),x||b?(h=(u=d)+w,x?(f=g,T=(p=Math.min(f+T,c))-f):T=(p=g+T)-(f=Math.max(p-T,0))):(p=(f=g)+T,_?w=(h=d+w)-(u=Math.max(h-w,0)):(u=d,w=(h=Math.min(u+w,l))-u)),this._box={l:u,t:f,w:w,h:T};var k=m>w,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>c&&(E=c-M);var C=this.container.selectAll(\"rect.scrollbar-horizontal\").data(k?[0]:[]);C.exit().on(\".drag\",null).remove(),C.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(i.fill,s.barColor),k?(this.hbar=C.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var L=y>T,I=s.barWidth+2*s.barPad,P=s.barLength+2*s.barPad,z=d+m,O=g;z+I>l&&(z=l-I);var D=this.container.selectAll(\"rect.scrollbar-vertical\").data(L?[0]:[]);D.exit().on(\".drag\",null).remove(),D.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(i.fill,s.barColor),L?(this.vbar=D.attr({rx:s.barRadius,ry:s.barRadius,x:z,y:O,width:I,height:P}),this._vbarYMin=O+P/2,this._vbarTranslateMax=T-P):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=u-.5,B=L?h+I+.5:h+.5,N=f-.5,j=k?p+M+.5:p+.5,U=o._topdefs.selectAll(\"#\"+R).data(k||L?[0]:[]);if(U.exit().remove(),U.enter().append(\"clipPath\").attr(\"id\",R).append(\"rect\"),k||L?(this._clipRect=U.select(\"rect\").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:m,height:y})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),k||L){var V=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault()})).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(V);var q=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()})).on(\"drag\",this._onBarDrag.bind(this));k&&this.hbar.on(\".drag\",null).call(q),L&&this.vbar.on(\".drag\",null).call(q)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t+=n.event.deltaY),this.vbar&&(e+=n.event.deltaY),this.setTranslate(t,e)},s.prototype._onBarDrag=function(){var t=this.translateX,e=this.translateY;if(this.hbar){var r=t+this._hbarXMin,i=r+this._hbarTranslateMax;t=(o.constrain(n.event.x,r,i)-r)/(i-r)*(this.position.w-this._box.w)}if(this.vbar){var a=e+this._vbarYMin,s=a+this._vbarTranslateMax;e=(o.constrain(n.event.y,a,s)-a)/(s-a)*(this.position.h-this._box.h)}this.setTranslate(t,e)},s.prototype.setTranslate=function(t,e){var r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},4530:function(t){\"use strict\";t.exports={FROM_BL:{left:0,center:.5,right:1,bottom:0,middle:.5,top:1},FROM_TL:{left:0,center:.5,right:1,bottom:1,middle:.5,top:0},FROM_BR:{left:1,center:.5,right:0,bottom:0,middle:.5,top:1},LINE_SPACING:1.3,CAP_SHIFT:.7,MID_SHIFT:.35,OPPOSITE_SIDE:{left:\"right\",right:\"left\",top:\"bottom\",bottom:\"top\"}}},35081:function(t){\"use strict\";t.exports={axisRefDescription:function(t,e,r){return[\"If set to a\",t,\"axis id (e.g. *\"+t+\"* or\",\"*\"+t+\"2*), the `\"+t+\"` position refers to a\",t,\"coordinate. 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y=n/(h[2]-h[0])*(l[2]-l[0])+l[0],v=i/(h[3]-h[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=y,c.boxStart[1]=v,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=y,c.boxEnd[1]=v,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<m,_=Math.abs(c.dragStart[1]-i)<m;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&_)x&&(c.boxEnd[0]=c.boxStart[0]),_&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var b=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*b)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*b*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(b)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(b))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/b*(a>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(b)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(b)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(g(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(f-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=i}return c.mouseListener=n(e,h),e.addEventListener(\"touchstart\",(function(t){var r=a(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=a(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=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),h=o/(a[2]-a[0])*(i[2]-i[0])+i[0],f=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-h)*l+h,i[2]=(i[2]-h)*l+h,i[1]=(i[1]-f)*l+f,i[3]=(i[3]-f)*l+f,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},10749:function(t,e,r){\"use strict\";var n=r(29714),i=r(55010);function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,c,u,h,f,p;for(this.titleEnable=!1,this.backgroundColor=i(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]=i(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]=i((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]=i(r.tickcolor),this.borderLineEnable[f+p]=!1,this.borderLineColor[f+p]=i(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,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,h=c?\"allticks\"===a:-1!==String(a).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]=i(r.gridcolor),this.gridLineWidth[f]=r.gridwidth,this.zeroLineEnable[f]=r.zeroline,this.zeroLineColor[f]=i(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=1.5,n=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.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},t.exports=function(t){return new a(t)}},24585:function(t,e,r){\"use strict\";var n=r(13582).overrideAll,i=r(27672),a=r(6704),o=r(62972),s=r(54826),l=r(37703),c=r(6811),u=r(4173).KO;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(55126),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===u(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},e.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)}},27672:function(t,e,r){\"use strict\";var n,i,a=r(33626),o=r(29714),s=r(32141),l=r(99098).gl_plot2d,c=r(99098).gl_spikes2d,u=r(99098).gl_select_box,h=r(22248),f=r(10749),p=r(77055),d=r(97464),m=r(84391),g=m.enforce,y=m.clean,v=r(32919).doAutoRange,x=r(70414),_=x.drawMode,b=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(54826).SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=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())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=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=i}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);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var h=document.createElement(\"canvas\");h.width=r,h.height=i;var f,p=h.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),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},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(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,i-u.r-(1-h[1])*u.w,a-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[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],v(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){b(t)||_(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var h=i._size,f=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+h.l+f[0]*h.w,l/t.pixelRatio-(h.t+(1-p[1])*h.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var m=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),m.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[m.trace.index]||{},y=m.pointIndex,v=s.castHoverinfo(g,i,y);if(v&&\"all\"!==v){var x=v.split(\"+\");-1===x.indexOf(\"x\")&&(m.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(m.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(m.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(m.textLabel=void 0),-1===x.indexOf(\"name\")&&(m.name=void 0)}s.loneHover({x:m.screenCoord[0],y:m.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",m.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",m.traceCoord[1]),zLabel:m.traceCoord[2],text:m.textLabel,name:m.name,color:s.castHoverOption(g,y,\"bgcolor\")||m.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},2487:function(t,e,r){\"use strict\";var n=r(13582).overrideAll,i=r(6811),a=r(20299),o=r(4173).KO,s=r(34809),l=r(62972),c=\"gl3d\",u=\"scene\";e.name=c,e.attr=u,e.idRoot=u,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(22597),e.layoutAttributes=r(77168),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(15250),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[c],i=0;i<n.length;i++){var s=n[i],l=o(r,c,s),u=e[s],h=u.camera,f=u._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:h},e),u._scene=f),f.viewInitial||(f.viewInitial={up:{x:h.up.x,y:h.up.y,z:h.up.z},eye:{x:h.eye.x,y:h.eye.y,z:h.eye.z},center:{x:h.center.x,y:h.center.y,z:h.center.z}}),f.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[c]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[c],n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,u=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":u,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()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),u+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[c],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},22597:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},63397:function(t,e,r){\"use strict\";var n=r(78766),i=r(25829),a=r(93049).extendFlat,o=r(13582).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:\"plot\"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},34258:function(t,e,r){\"use strict\";var n=r(65657).mix,i=r(34809),a=r(78032),o=r(63397),s=r(4392),l=r(97655),c=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var u,h;function f(t,e){return i.coerce(u,h,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(h=a.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,noAutotickangles:!0,noTicklabelindex:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelshift:!0,noTicklabelstandoff:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),f(\"gridcolor\",n(h.color,r.bgColor,72.72727272727273).toRgbString()),f(\"title.text\",d[0]),h.setScale=i.noop,f(\"showspikes\")&&(f(\"spikesides\"),f(\"spikethickness\"),f(\"spikecolor\",h.color)),f(\"showaxeslabels\"),f(\"showbackground\")&&f(\"backgroundcolor\")}}},95701:function(t,e,r){\"use strict\";var n=r(55010),i=r(34809),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size),s.title.font.weight&&(r.labelFontWeight[o]=s.title.font.weight),s.title.font.style&&(r.labelFontStyle[o]=s.title.font.style),s.title.font.variant&&(r.labelFontVariant[o]=s.title.font.variant)),\"showline\"in s&&(r.lineEnable[o]=s.showline),\"linecolor\"in s&&(r.lineColor[o]=n(s.linecolor)),\"linewidth\"in s&&(r.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(r.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(r.gridColor[o]=n(s.gridcolor)),\"gridwidth\"in s&&(r.gridWidth[o]=s.gridwidth),\"log\"===s.type?r.zeroEnable[o]=!1:\"zeroline\"in s&&(r.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),\"zerolinewidth\"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),\"ticks\"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,\"ticklen\"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(r.lineTickColor[o]=n(s.tickcolor)),\"tickwidth\"in s&&(r.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(r.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(r.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size),s.tickfont.weight&&(r.tickFontWeight[o]=s.tickfont.weight),s.tickfont.style&&(r.tickFontStyle[o]=s.tickfont.style),s.tickfont.variant&&(r.tickFontVariant[o]=s.tickfont.variant)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,\"showbackground\"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},15250:function(t,e,r){\"use strict\";var n=r(34809),i=r(78766),a=r(33626),o=r(4448),s=r(34258),l=r(77168),c=r(4173).KO,u=\"gl3d\";function h(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.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 m=c(n.fullData,u,n.id);s(t,e,{font:n.font,scene:n.id,data:m,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,v=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&v&&x?x/Math.sqrt(y*y+v*v+x*x)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=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(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},77168:function(t,e,r){\"use strict\";var n=r(63397),i=r(13792).u,a=r(93049).extendFlat,o=r(34809).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\"}}t.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},64087:function(t,e,r){\"use strict\";var n=r(55010),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},32412:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var h=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var f=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/f)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=h}}for(e.ticks=l,c=0;c<3;++c)for(o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]),d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(29714),i=r(34809),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},25802:function(t){\"use strict\";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},20299:function(t,e,r){\"use strict\";var n,i,a=r(99098).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(22248),c=r(74043),u=r(33626),h=r(34809),f=h.preserveDrawingBuffer(),p=r(29714),d=r(32141),m=r(55010),g=r(97464),y=r(25802),v=r(95701),x=r(64087),_=r(32412),b=r(32919).applyAutorangeOptions,w=!1;function T(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=v(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:f,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||f)r=!1;else{h.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{f=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){f=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,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(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"touchstart\",(function(){w=!0})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),_(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,f=e.glplot.selection,m=0;m<c.length;++m)\"skip\"!==(t=e.traces[c[m]]).data.hoverinfo&&t.handlePick(f)&&(u=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var v=y(e.glplot.cameraParams,f.dataCoordinate);t=u.data;var x,b=r._fullData[t.index],T=f.index,k={xLabel:g(\"x\",f.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",f.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",f.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(b,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;b.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 0),-1===M.indexOf(\"z\")&&(k.zLabel=void 0),-1===M.indexOf(\"text\")&&(f.textLabel=void 0),-1===M.indexOf(\"name\")&&(u.name=void 0));var E=[];\"cone\"===t.type||\"streamtube\"===t.type?(k.uLabel=g(\"x\",f.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf(\"u\"))&&E.push(\"u: \"+k.uLabel),k.vLabel=g(\"y\",f.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf(\"v\"))&&E.push(\"v: \"+k.vLabel),k.wLabel=g(\"z\",f.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf(\"w\"))&&E.push(\"w: \"+k.wLabel),k.normLabel=f.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf(\"norm\"))&&E.push(\"norm: \"+k.normLabel),\"streamtube\"===t.type&&(k.divergenceLabel=f.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf(\"divergence\"))&&E.push(\"divergence: \"+k.divergenceLabel)),f.textLabel&&E.push(f.textLabel),x=E.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(f.traceCoordinate[3]),t.valuehoverformat),E.push(\"value: \"+k.valueLabel),f.textLabel&&E.push(f.textLabel),x=E.join(\"<br>\")):x=f.textLabel;var C={x:f.traceCoordinate[0],y:f.traceCoordinate[1],z:f.traceCoordinate[2],data:b._input,fullData:b,curveNumber:b.index,pointNumber:T};d.appendArrayPointValue(C,b,T),t._module.eventData&&(C=b._module.eventData(C,f,b,{},T));var L={points:[C]};if(e.fullSceneLayout.hovermode){var I=[];d.loneHover({trace:b,x:(.5+.5*v[0]/v[3])*s,y:(.5-.5*v[1]/v[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:x,name:u.name,color:d.castHoverOption(b,T,\"bgcolor\")||u.color,borderColor:d.castHoverOption(b,T,\"bordercolor\"),fontFamily:d.castHoverOption(b,T,\"font.family\"),fontSize:d.castHoverOption(b,T,\"font.size\"),fontColor:d.castHoverOption(b,T,\"font.color\"),nameLength:d.castHoverOption(b,T,\"namelength\"),textAlign:d.castHoverOption(b,T,\"align\"),hovertemplate:h.castOption(b,T,\"hovertemplate\"),hovertemplateLabels:h.extendFlat({},C,k),eventData:[C]},{container:n,gd:r,inOut_bbox:I}),C.bbox=I[0]}f.distance<5&&(f.buttons||w)?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},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 M=[\"xaxis\",\"yaxis\",\"zaxis\"];function S(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=M[i],o=a.charAt(0),s=n[a],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][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f));else f=s.d2l(l[p],0,c),!isNaN(f)&&isFinite(f)&&(r[0][i]=Math.min(r[0][i],f),r[1][i]=Math.max(r[1][i],f));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}k.plot=function(t,e,r){var n=this;if(n.plotArgs=[t,e,r],!n.glplot.contextLost){var i,a,o,s,l,c,u=e[n.id],h=r[n.id];n.fullLayout=e,n.fullSceneLayout=u,n.axesOptions.merge(e,u),n.spikeOptions.merge(u),n.setViewport(u),n.updateFx(u.dragmode,u.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(m(u.bgcolor)),n.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&S(this,i,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=M[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var p=[1,1,1];for(s=0;s<3;++s)f[1][s]===f[0][s]?p[s]=1:p[s]=1/(f[1][s]-f[0][s]);for(n.dataScale=p,n.convertAnnotations(this),o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&((a=n.traces[i.uid])?a.data.type===i.type?a.update(i):(a.dispose(),a=i._module.plot(this,i),n.traces[i.uid]=a):(a=i._module.plot(this,i),n.traces[i.uid]=a),a.name=i.name);var d=Object.keys(n.traces);t:for(o=0;o<d.length;++o){for(s=0;s<t.length;++s)if(t[s].uid===d[o]&&!0===t[s].visible&&0!==t[s]._length)continue t;(a=n.traces[d[o]]).dispose(),delete n.traces[d[o]]}n.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,y=[[0,0,0],[0,0,0]],v=[],x={};for(o=0;o<3;++o){var _;if((c=(l=u[M[o]]).type)in x?(x[c].acc*=p[o],x[c].count+=1):x[c]={acc:p[o],count:1},l.autorange){y[0][o]=1/0,y[1][o]=-1/0;var w=n.glplot.objects,T=n.fullSceneLayout.annotations||[],k=l._name.charAt(0);for(s=0;s<w.length;s++){var A=w[s],E=A.bounds,C=A._trace.data._pad||0;\"ErrorBars\"===A.constructor.name&&l._lowerLogErrorBound?y[0][o]=Math.min(y[0][o],l._lowerLogErrorBound):y[0][o]=Math.min(y[0][o],E[0][o]/p[o]-C),y[1][o]=Math.max(y[1][o],E[1][o]/p[o]+C)}for(s=0;s<T.length;s++){var L=T[s];if(L.visible){var I=l.r2l(L[k]);y[0][o]=Math.min(y[0][o],I),y[1][o]=Math.max(y[1][o],I)}}if(\"rangemode\"in l&&\"tozero\"===l.rangemode&&(y[0][o]=Math.min(y[0][o],0),y[1][o]=Math.max(y[1][o],0)),y[0][o]>y[1][o])y[0][o]=-1,y[1][o]=1;else{var P=y[1][o]-y[0][o];y[0][o]-=P/32,y[1][o]+=P/32}if(_=[y[0][o],y[1][o]],_=b(_,l),y[0][o]=_[0],y[1][o]=_[1],l.isReversed()){var z=y[0][o];y[0][o]=y[1][o],y[1][o]=z}}else _=l.range,y[0][o]=l.r2l(_[0]),y[1][o]=l.r2l(_[1]);y[0][o]===y[1][o]&&(y[0][o]-=1,y[1][o]+=1),v[o]=y[1][o]-y[0][o],l.range=[y[0][o],y[1][o]],l.limitRange(),n.glplot.setBounds(o,{min:l.range[0]*p[o],max:l.range[1]*p[o]})}var O=u.aspectmode;if(\"cube\"===O)g=[1,1,1];else if(\"manual\"===O){var D=u.aspectratio;g=[D.x,D.y,D.z]}else{if(\"auto\"!==O&&\"data\"!==O)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var R=[1,1,1];for(o=0;o<3;++o){var F=x[c=(l=u[M[o]]).type];R[o]=Math.pow(F.acc,1/F.count)/p[o]}g=\"data\"===O||Math.max.apply(null,R)/Math.min.apply(null,R)<=4?R:[1,1,1]}u.aspectratio.x=h.aspectratio.x=g[0],u.aspectratio.y=h.aspectratio.y=g[1],u.aspectratio.z=h.aspectratio.z=g[2],n.glplot.setAspectratio(u.aspectratio),n.viewInitial.aspectratio||(n.viewInitial.aspectratio={x:u.aspectratio.x,y:u.aspectratio.y,z:u.aspectratio.z}),n.viewInitial.aspectmode||(n.viewInitial.aspectmode=u.aspectmode);var B=u.domain||null,N=e._size||null;if(B&&N){var j=n.container.style;j.position=\"absolute\",j.left=N.l+B.x[0]*N.w+\"px\",j.top=N.t+(1-B.y[1])*N.h+\"px\",j.width=N.w*(B.x[1]-B.x[0])+\"px\",j.height=N.h*(B.y[1]-B.y[0])+\"px\"}n.glplot.redraw()}},k.destroy=function(){var t=this;t.glplot&&(t.camera.mouseListener.enabled=!1,t.container.removeEventListener(\"wheel\",t.camera.wheelListener),t.camera=null,t.glplot.dispose(),t.container.parentNode.removeChild(t.container),t.glplot=null)},k.getCamera=function(){var t,e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),{up:{x:(t=e.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=this,n=t.camera;r.camera.lookAt.apply(this,[[(e=n).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]]),r.glplot.setAspectratio(t.aspectratio),\"orthographic\"===n.projection.type!==r.camera._ortho&&(r.glplot.redraw(),r.glplot.clearRGBA(),r.glplot.dispose(),r.initializeGLPlot())},k.isCameraChanged=function(t){var e=this.getCamera(),r=h.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var 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e=t.id;if(!f[e]&&e.includes(\"-15\")){f[e]=!0;var r=new Image(15,15);r.onload=function(){h.addImage(e,r)},r.crossOrigin=\"Anonymous\",r.src=\"https://unpkg.com/maki@2.1.0/icons/\"+e+\".svg\"}})),h.setTransformRequest((function(t){return{url:t=(t=(t=t.replace(\"https://fonts.openmaptiles.org/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\")).replace(\"https://tiles.basemaps.cartocdn.com/fonts/Open Sans Extrabold\",\"https://fonts.openmaptiles.org/Open Sans Extra Bold\")).replace(\"https://fonts.openmaptiles.org/Open Sans Regular,Arial Unicode MS Regular\",\"https://fonts.openmaptiles.org/Klokantech Noto Sans Regular\")}})),h._canvas.style.left=\"0px\",h._canvas.style.top=\"0px\",o.rejectOnError(i),o.isStatic||o.initFx(t,e);var p=[];p.push(new 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u,h,f={};for(u in a)f[n=a[u]]?f[n].push(u):f[n]=[u];for(n in f){var p=f[n];if(p.length>1)for(r=0;r<p.length;r++)0===(u=p[r]).indexOf(\"trace-\")?(h=u.split(\"trace-\")[1],this.traceHash[h]&&(this.traceHash[h].below=null)):0===u.indexOf(\"layout-\")&&(h=u.split(\"layout-\")[1],this.layerList[h]&&(this.layerList[h].below=null))}};var b={choroplethmap:0,densitymap:1,scattermap:2};function w(t){var e={};return i.isPlainObject(t)?(e.id=t.id,e.style=t):\"string\"==typeof t?(e.id=t,y.stylesMap[t]?e.style=y.stylesMap[t]:e.style=t):(e.id=y.styleValueDflt,e.style=function(t){return y.styleUrlPrefix+t+\"-\"+y.styleUrlSuffix}(y.styleValueDflt)),e.transition={duration:0,delay:0},e}function T(t){return[t.lon,t.lat]}_.updateData=function(t){var e,r,n,i,a=this.traceHash,o=t.slice().sort((function(t,e){return b[t[0].trace.type]-b[e[0].trace.type]}));for(n=0;n<o.length;n++){var 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i=n._fullLayout.clickmode;i.indexOf(\"select\")>-1&&g(e.originalEvent,n,[r.xaxis],[r.yaxis],r.id,t),i.indexOf(\"event\")>-1&&c.click(n,e.originalEvent)}}},_.updateFx=function(t){var e=this,r=e.map,n=e.gd;if(!e.isStatic){var a,o=t.dragmode;a=function(t,r){r.isRect?(t.range={})[e.id]=[c([r.xmin,r.ymin]),c([r.xmax,r.ymax])]:(t.lassoPoints={})[e.id]=r.map(c)};var s=e.dragOptions;e.dragOptions=i.extendDeep(s||{},{dragmode:t.dragmode,element:e.div,gd:n,plotinfo:{id:e.id,domain:t[e.id].domain,xaxis:e.xaxis,yaxis:e.yaxis,fillRangeItems:a},xaxes:[e.xaxis],yaxes:[e.yaxis],subplot:e.id}),r.off(\"click\",e.onClickInPanHandler),f(o)||h(o)?(r.dragPan.disable(),r.on(\"zoomstart\",e.clearOutline),e.dragOptions.prepFn=function(t,r,n){p(t,r,n,e.dragOptions,o)},l.init(e.dragOptions)):(r.dragPan.enable(),r.off(\"zoomstart\",e.clearOutline),e.div.onmousedown=null,e.div.ontouchstart=null,e.div.removeEventListener(\"touchstart\",e.div._ontouchstart),e.onClickInPanHandler=e.onClickInPanFn(e.dragOptions),r.on(\"click\",e.onClickInPanHandler))}function c(t){var r=e.map.unproject(t);return[r.lng,r.lat]}},_.updateFramework=function(t){var e=t[this.id].domain,r=t._size,n=this.div.style;n.width=r.w*(e.x[1]-e.x[0])+\"px\",n.height=r.h*(e.y[1]-e.y[0])+\"px\",n.left=r.l+e.x[0]*r.w+\"px\",n.top=r.t+(1-e.y[1])*r.h+\"px\",this.xaxis._offset=r.l+e.x[0]*r.w,this.xaxis._length=r.w*(e.x[1]-e.x[0]),this.yaxis._offset=r.t+(1-e.y[1])*r.h,this.yaxis._length=r.h*(e.y[1]-e.y[0])},_.updateLayers=function(t){var e,r=t[this.id].layers,n=this.layerList;if(r.length!==n.length){for(e=0;e<n.length;e++)n[e].dispose();for(n=this.layerList=[],e=0;e<r.length;e++)n.push(v(this,e,r[e]))}else for(e=0;e<r.length;e++)n[e].update(r[e])},_.destroy=function(){this.map&&(this.map.remove(),this.map=null,this.container.removeChild(this.div))},_.toImage=function(){return this.map.stop(),this.map.getCanvas().toDataURL()},_.setOptions=function(t,e,r){for(var n in r)this.map[e](t,n,r[n])},_.getMapLayers=function(){return this.map.getStyle().layers},_.addLayer=function(t,e){var r=this.map;if(\"string\"==typeof e){if(\"\"===e)return void r.addLayer(t,e);for(var n=this.getMapLayers(),a=0;a<n.length;a++)if(e===n[a].id)return void r.addLayer(t,e);i.warn([\"Trying to add layer with *below* value\",e,\"referencing a layer that does not exist\",\"or that does not yet exist.\"].join(\" \"))}r.addLayer(t)},_.project=function(t){return this.map.project(new n.LngLat(t[0],t[1]))},_.getView=function(){var t=this.map,e=t.getCenter(),r={lon:e.lng,lat:e.lat},n=t.getCanvas(),i=parseInt(n.style.width),a=parseInt(n.style.height);return{center:r,zoom:t.getZoom(),bearing:t.getBearing(),pitch:t.getPitch(),_derived:{coordinates:[t.unproject([0,0]).toArray(),t.unproject([i,0]).toArray(),t.unproject([i,a]).toArray(),t.unproject([0,a]).toArray()]}}},_.getViewEdits=function(t){for(var e=this.id,r=[\"center\",\"zoom\",\"bearing\",\"pitch\"],n={},i=0;i<r.length;i++){var a=r[i];n[e+\".\"+a]=t[a]}return n},_.getViewEditsWithDerived=function(t){var e=this.id,r=this.getViewEdits(t);return r[e+\"._derived\"]=t._derived,r},t.exports=x},44245:function(t,e,r){\"use strict\";var n=r(62994),i=\"1.13.4\",a='© <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',o=['© <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',a].join(\" \"),s=['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">ODbL</a>'].join(\" 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tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by-sa/3.0\">CC BY SA</a>'].join(\" 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e,r,s=this,c=s.isSmith,u=s.gd,h=s.layers,f=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,m=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,C=s.sectorInRad,L=s.vangles,I=s.radialAxis,P=E.clampTiny,z=E.findXYatLength,O=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(h,\"path\",\"maindrag\",!1===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){v.hover(u,t,s.id),u._fullLayout._lasthover=F,u._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){u._dragging||y.unhover(u,t)};var B,N,j,U,V,q,H,G,Z,W={element:F,gd:u,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function Y(t,e){return Math.sqrt(t*t+e*e)}function X(t,e){return Y(t-A,e-M)}function $(t,e){return Math.atan2(M-e,t-A)}function J(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function K(t,e){if(0===t)return s.pathSector(2*D);var 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z,O,D,B=g.makeRectDragger(u,T,\"crosshair\",-x,-x,v,v),N={element:B,gd:c};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),m.visible&&f<h,{transform:l(_,b)}),N.prepFn=function(){z=null,O=null,D=null,N.moveFn=j,N.doneFn=q,w(c)},N.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<S.MINDRAG&&(t=0,e=0),[t,e]},y.init(N)}function j(t,e){if(z)z(t,e);else{var n=[t,-e],a=[Math.cos(M),Math.sin(M)],s=Math.abs(o.dot(n,a)/Math.sqrt(o.dot(n,n)));isNaN(s)||(z=s<.5?H:G)}var l={};!function(t){null!==O?t[i.id+\".radialaxis.angle\"]=O:null!==D&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=D)}(l),c.emit(\"plotly_relayouting\",l)}function q(){null!==O?a.call(\"_guiRelayout\",c,i.id+\".radialaxis.angle\",O):null!==D&&a.call(\"_guiRelayout\",c,i.id+\".radialaxis.range[\"+r+\"]\",D)}function H(t,e){if(0!==r){var n=_+t,a=b+e;O=Math.atan2(d-a,n-p),i.vangles&&(O=U(O,i.vangles)),O=F(O);var o=l(p,d)+s(-O);u[\"radial-axis\"].attr(\"transform\",o),u[\"radial-line\"].select(\"line\").attr(\"transform\",o);var 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traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"above traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\");var i=this.plotContainer.selectAll(\"g.toplevel\").data(r,String),a=[\"agrid\",\"bgrid\",\"cgrid\"];i.enter().append(\"g\").attr(\"class\",(function(t){return\"toplevel \"+t})).each((function(t){var r=n.select(this);e[t]=r,\"frontplot\"===t?r.append(\"g\").classed(\"scatterlayer\",!0):\"backplot\"===t?r.append(\"g\").classed(\"maplayer\",!0):\"plotbg\"===t?r.append(\"path\").attr(\"d\",\"M0,0Z\"):\"aline\"===t||\"bline\"===t||\"cline\"===t?r.append(\"path\"):\"grids\"===t&&a.forEach((function(t){e[t]=r.append(\"g\").classed(\"grid \"+t,!0)}))})),i.order()};var E=Math.sqrt(4/3);S.adjustLayout=function(t,e){var r,n,i,a,o,l,p=this,d=t.domain,m=(d.x[0]+d.x[1])/2,g=(d.y[0]+d.y[1])/2,y=d.x[1]-d.x[0],v=d.y[1]-d.y[0],x=y*e.w,_=v*e.h,b=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*_?i=(a=_)*E:a=(i=x)/E,o=y*i/x,l=v*a/_,r=e.l+e.w*m-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=b,p.xaxis={type:\"linear\",range:[w+2*k-b,b-w-2*T],domain:[m-o/2,m+o/2],_id:\"x\"},h(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,b-T-k],domain:[g-l/2,g+l/2],_id:\"y\"},h(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=f({},t.aaxis,{range:[w,b-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});h(M,p.graphDiv._fullLayout),M.setScale();var S=p.baxis=f({},t.baxis,{range:[b-w-k,T],side:\"bottom\",domain:p.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:i});h(S,p.graphDiv._fullLayout),S.setScale();var C=p.caxis=f({},t.caxis,{range:[b-w-T,k],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});h(C,p.graphDiv._fullLayout),C.setScale();var L=\"M\"+r+\",\"+(n+a)+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDef.select(\"path\").attr(\"d\",L),p.layers.plotbg.select(\"path\").attr(\"d\",L);var I=\"M0,\"+a+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDefRelative.select(\"path\").attr(\"d\",I);var P=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",P),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var z=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",z),p.layers.bgrid.attr(\"transform\",z);var O=s(r+i/2,n)+\"rotate(30)\"+s(0,-M._offset);p.layers.aaxis.attr(\"transform\",O),p.layers.agrid.attr(\"transform\",O);var D=s(r+i/2,n)+\"rotate(-30)\"+s(0,-C._offset);p.layers.caxis.attr(\"transform\",D),p.layers.cgrid.attr(\"transform\",D),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(c.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(c.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",C.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(c.stroke,C.linecolor||\"#000\").style(\"stroke-width\",(C.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),u.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this,r=e.graphDiv,n=e.id.substr(7)+\"title\",i=e.layers,a=e.aaxis,o=e.baxis,s=e.caxis;if(e.drawAx(a),e.drawAx(o),e.drawAx(s),t){var c=Math.max(a.showticklabels?a.tickfont.size/2:0,(s.showticklabels?.75*s.tickfont.size:0)+(\"outside\"===s.ticks?.87*s.ticklen:0)),u=(o.showticklabels?o.tickfont.size:0)+(\"outside\"===o.ticks?o.ticklen:0)+3;i[\"a-title\"]=_.draw(r,\"a\"+n,{propContainer:a,propName:e.id+\".aaxis.title\",placeholder:l(r,\"Click to enter Component A title\"),attributes:{x:e.x0+e.w/2,y:e.y0-a.title.font.size/3-c,\"text-anchor\":\"middle\"}}),i[\"b-title\"]=_.draw(r,\"b\"+n,{propContainer:o,propName:e.id+\".baxis.title\",placeholder:l(r,\"Click to enter Component B title\"),attributes:{x:e.x0-u,y:e.y0+e.h+.83*o.title.font.size+u,\"text-anchor\":\"middle\"}}),i[\"c-title\"]=_.draw(r,\"c\"+n,{propContainer:s,propName:e.id+\".caxis.title\",placeholder:l(r,\"Click to enter Component C title\"),attributes:{x:e.x0+e.w+u,y:e.y0+e.h+.83*s.title.font.size+u,\"text-anchor\":\"middle\"}})}},S.drawAx=function(t){var e,r=this,n=r.graphDiv,i=t._name,a=i.charAt(0),s=t._id,l=r.layers[i],c=a+\"tickLayout\",u=(e=t).ticks+String(e.ticklen)+String(e.showticklabels);r[c]!==u&&(l.selectAll(\".\"+s+\"tick\").remove(),r[c]=u),t.setScale();var h=d.calcTicks(t),f=d.clipEnds(t,h),p=d.makeTransTickFn(t),m=d.getTickSigns(t)[2],g=o.deg2rad(30),y=m*(t.linewidth||1)/2,v=m*t.ticklen,x=r.w,_=r.h,b=\"b\"===a?\"M0,\"+y+\"l\"+Math.sin(g)*v+\",\"+Math.cos(g)*v:\"M\"+y+\",0l\"+Math.cos(g)*v+\",\"+-Math.sin(g)*v,w={a:\"M0,0l\"+_+\",-\"+x/2,b:\"M0,0l-\"+x/2+\",-\"+_,c:\"M0,0l-\"+_+\",\"+x/2}[a];d.drawTicks(n,t,{vals:\"inside\"===t.ticks?f:h,layer:l,path:b,transFn:p,crisp:!1}),d.drawGrid(n,t,{vals:f,layer:r.layers[a+\"grid\"],path:w,transFn:p,crisp:!1}),d.drawLabels(n,t,{vals:h,layer:l,transFn:p,labelFns:d.makeLabelFns(t,0,30)})};var C=A.MINZOOM/2+.87,L=\"m-0.87,.5h\"+C+\"v3h-\"+(C+5.2)+\"l\"+(C/2+2.6)+\",-\"+(.87*C+4.5)+\"l2.6,1.5l-\"+C/2+\",\"+.87*C+\"Z\",I=\"m0.87,.5h-\"+C+\"v3h\"+(C+5.2)+\"l-\"+(C/2+2.6)+\",-\"+(.87*C+4.5)+\"l-2.6,1.5l\"+C/2+\",\"+.87*C+\"Z\",P=\"m0,1l\"+C/2+\",\"+.87*C+\"l2.6,-1.5l-\"+(C/2+2.6)+\",-\"+(.87*C+4.5)+\"l-\"+(C/2+2.6)+\",\"+(.87*C+4.5)+\"l2.6,1.5l\"+C/2+\",-\"+.87*C+\"Z\",z=!0;function O(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearOutline=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,h,f,p,d,y,_,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),C=M.graphDiv,D=C._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var r=C._fullLayout.clickmode;O(C),2===t&&(C.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",C,R({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&w(e,C,[M.xaxis],[M.yaxis],M.id,M.dragOptions),r.indexOf(\"event\")>-1&&g.click(C,e,M.id)}function B(t,e){return 1-e/M.h}function N(t,e){return 1-(t+(M.h-e)/Math.sqrt(3))/M.w}function j(t,e){return(t-(M.h-e)/Math.sqrt(3))/M.w}function U(i,a){var o=r+i*t,s=n+a*e,l=Math.max(0,Math.min(1,B(0,n),B(0,s))),c=Math.max(0,Math.min(1,N(r,n),N(o,s))),u=Math.max(0,Math.min(1,j(r,n),j(o,s))),m=(l/2+u)*M.w,g=(1-l/2-c)*M.w,v=(m+g)/2,x=g-m,b=(1-l)*M.h,w=b-x/E;x<A.MINZOOM?(p=h,T.attr(\"d\",y),k.attr(\"d\",\"M0,0Z\")):(p={a:h.a+l*f,b:h.b+c*f,c:h.c+u*f},T.attr(\"d\",y+\"M\"+m+\",\"+b+\"H\"+g+\"L\"+v+\",\"+w+\"L\"+m+\",\"+b+\"Z\"),k.attr(\"d\",\"M\"+r+\",\"+n+\"m0.5,0.5h5v-2h-5v-5h-2v5h-5v2h5v5h2ZM\"+m+\",\"+b+L+\"M\"+g+\",\"+b+I+\"M\"+v+\",\"+w+P)),_||(T.transition().style(\"fill\",d>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),k.transition().style(\"opacity\",1).duration(200),_=!0),C.emit(\"plotly_relayouting\",R(p))}function V(){O(C),p!==h&&(a.call(\"_guiRelayout\",C,R(p)),z&&C.data&&C._context.showTips&&(o.notifier(l(C,\"Double-click to zoom back out\"),\"long\"),z=!1))}function q(t,e){var r=t/M.xaxis._m,n=e/M.yaxis._m,i=[(p={a:h.a-n,b:h.b+(r+n)/2,c:h.c-(r-n)/2}).a,p.b,p.c].sort(o.sorterAsc),a=i.indexOf(p.a),l=i.indexOf(p.b),c=i.indexOf(p.c);i[0]<0&&(i[1]+i[0]/2<0?(i[2]+=i[0]+i[1],i[0]=i[1]=0):(i[2]+=i[0]/2,i[1]+=i[0]/2,i[0]=0),p={a:i[a],b:i[l],c:i[c]},e=(h.a-p.a)*M.yaxis._m,t=(h.c-p.c-h.b+p.b)*M.xaxis._m);var f=s(M.x0+t,M.y0+e);M.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",f);var d=s(-t,-e);M.clipDefRelative.select(\"path\").attr(\"transform\",d),M.aaxis.range=[p.a,M.sum-p.b-p.c],M.baxis.range=[M.sum-p.a-p.c,p.b],M.caxis.range=[M.sum-p.a-p.b,p.c],M.drawAxes(!1),M._hasClipOnAxisFalse&&M.plotContainer.select(\".scatterlayer\").selectAll(\".trace\").call(u.hideOutsideRangePoints,M),C.emit(\"plotly_relayouting\",R(p))}function H(){a.call(\"_guiRelayout\",C,R(p))}this.dragOptions={element:S,gd:C,plotinfo:{id:M.id,domain:C._fullLayout[M.id].domain,xaxis:M.xaxis,yaxis:M.yaxis},subplot:M.id,prepFn:function(a,l,u){M.dragOptions.xaxes=[M.xaxis],M.dragOptions.yaxes=[M.yaxis],t=C._fullLayout._invScaleX,e=C._fullLayout._invScaleY;var m=M.dragOptions.dragmode=C._fullLayout.dragmode;v(m)?M.dragOptions.minDrag=1:M.dragOptions.minDrag=void 0,\"zoom\"===m?(M.dragOptions.moveFn=U,M.dragOptions.clickFn=F,M.dragOptions.doneFn=V,function(t,e,a){var l=S.getBoundingClientRect();r=e-l.left,n=a-l.top,C._fullLayout._calcInverseTransform(C);var u=C._fullLayout._invTransform,m=o.apply3DTransform(u)(r,n);r=m[0],n=m[1],h={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=h,f=M.aaxis.range[1]-h.a,d=i(M.graphDiv._fullLayout[M.id].bgcolor).getLuminance(),y=\"M0,\"+M.h+\"L\"+M.w/2+\", 0L\"+M.w+\",\"+M.h+\"Z\",_=!1,T=D.append(\"path\").attr(\"class\",\"zoombox\").attr(\"transform\",s(M.x0,M.y0)).style({fill:d>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"d\",y),k=D.append(\"path\").attr(\"class\",\"zoombox-corners\").attr(\"transform\",s(M.x0,M.y0)).style({fill:c.background,stroke:c.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"d\",\"M0,0Z\"),M.clearOutline(C)}(0,l,u)):\"pan\"===m?(M.dragOptions.moveFn=q,M.dragOptions.clickFn=F,M.dragOptions.doneFn=H,h={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=h,M.clearOutline(C)):(x(m)||v(m))&&b(a,l,u,M.dragOptions,m)}},S.onmousemove=function(t){g.hover(C,t,M.id),C._fullLayout._lasthover=S,C._fullLayout._hoversubplot=M.id},S.onmouseout=function(t){C._dragging||m.unhover(C,t)},m.init(this.dragOptions)}},33626:function(t,e,r){\"use strict\";var n=r(48636),i=r(4969),a=r(36539),o=r(56174),s=r(95425).addStyleRule,l=r(93049),c=r(9829),u=r(6704),h=l.extendFlat,f=l.extendDeepAll;function p(t){var i=t.name,a=t.categories,o=t.meta;if(e.modules[i])n.log(\"Type \"+i+\" already registered\");else{e.subplotsRegistry[t.basePlotModule.name]||function(t){var r=t.name;if(e.subplotsRegistry[r])n.log(\"Plot type \"+r+\" already registered.\");else for(var i in y(t),e.subplotsRegistry[r]=t,e.componentsRegistry)_(i,t.name)}(t.basePlotModule);for(var l={},c=0;c<a.length;c++)l[a[c]]=!0,e.allCategories[a[c]]=!0;for(var u in e.modules[i]={_module:t,categories:l},o&&Object.keys(o).length&&(e.modules[i].meta=o),e.allTypes.push(i),e.componentsRegistry)v(u,i);t.layoutAttributes&&h(e.traceLayoutAttributes,t.layoutAttributes);var f=t.basePlotModule,p=f.name;if(\"mapbox\"===p){var d=f.constants.styleRules;for(var m in d)s(\".js-plotly-plot .plotly .mapboxgl-\"+m,d[m])}\"map\"===p&&r(96144),\"geo\"!==p&&\"mapbox\"!==p&&\"map\"!==p||void 0!==window.PlotlyGeoAssets||(window.PlotlyGeoAssets={topojson:{}})}}function d(t){if(\"string\"!=typeof t.name)throw new Error(\"Component module *name* must be a string.\");var r=t.name;for(var n in e.componentsRegistry[r]=t,t.layoutAttributes&&(t.layoutAttributes._isLinkedToArray&&a(e.layoutArrayContainers,r),y(t)),e.modules)v(r,n);for(var i in e.subplotsRegistry)_(r,i);for(var o in e.transformsRegistry)x(r,o);t.schema&&t.schema.layout&&f(u,t.schema.layout)}function m(t){if(\"string\"!=typeof t.name)throw new Error(\"Transform module *name* must be a string.\");var r=\"Transform module \"+t.name,i=\"function\"==typeof t.transform,a=\"function\"==typeof t.calcTransform;if(!i&&!a)throw new Error(r+\" is missing a *transform* or *calcTransform* method.\");for(var s in i&&a&&n.log([r+\" has both a *transform* and *calcTransform* methods.\",\"Please note that all *transform* methods are executed\",\"before all *calcTransform* methods.\"].join(\" \")),o(t.attributes)||n.log(r+\" registered without an *attributes* object.\"),\"function\"!=typeof t.supplyDefaults&&n.log(r+\" registered without a *supplyDefaults* method.\"),e.transformsRegistry[t.name]=t,e.componentsRegistry)x(s,t.name)}function g(t){var r=t.name,n=r.split(\"-\")[0],i=t.dictionary,a=t.format,o=i&&Object.keys(i).length,s=a&&Object.keys(a).length,l=e.localeRegistry,c=l[r];if(c||(l[r]=c={}),n!==r){var u=l[n];u||(l[n]=u={}),o&&u.dictionary===c.dictionary&&(u.dictionary=i),s&&u.format===c.format&&(u.format=a)}o&&(c.dictionary=i),s&&(c.format=a)}function y(t){if(t.layoutAttributes){var r=t.layoutAttributes._arrayAttrRegexps;if(r)for(var n=0;n<r.length;n++)a(e.layoutArrayRegexes,r[n])}}function v(t,r){var n=e.componentsRegistry[t].schema;if(n&&n.traces){var i=n.traces[r];i&&f(e.modules[r]._module.attributes,i)}}function x(t,r){var n=e.componentsRegistry[t].schema;if(n&&n.transforms){var i=n.transforms[r];i&&f(e.transformsRegistry[r].attributes,i)}}function _(t,r){var n=e.componentsRegistry[t].schema;if(n&&n.subplots){var i=e.subplotsRegistry[r],a=i.layoutAttributes,o=\"subplot\"===i.attr?i.name:i.attr;Array.isArray(o)&&(o=o[0]);var 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strict\";t.exports={barmode:{valType:\"enumerated\",values:[\"stack\",\"group\",\"overlay\",\"relative\"],dflt:\"group\",editType:\"calc\"},barnorm:{valType:\"enumerated\",values:[\"\",\"fraction\",\"percent\"],dflt:\"\",editType:\"calc\"},bargap:{valType:\"number\",min:0,max:1,editType:\"calc\"},bargroupgap:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},barcornerradius:{valType:\"any\",editType:\"calc\"}}},78931:function(t,e,r){\"use strict\";var n=r(33626),i=r(29714),a=r(34809),o=r(25412),s=r(17550).validateCornerradius;t.exports=function(t,e,r){function l(r,n){return a.coerce(t,e,o,r,n)}for(var c=!1,u=!1,h=!1,f={},p=l(\"barmode\"),d=0;d<r.length;d++){var m=r[d];if(n.traceIs(m,\"bar\")&&m.visible){if(c=!0,\"group\"===p){var g=m.xaxis+m.yaxis;f[g]&&(h=!0),f[g]=!0}m.visible&&\"histogram\"===m.type&&\"category\"!==i.getFromId({_fullLayout:e},m[\"v\"===m.orientation?\"xaxis\":\"yaxis\"]).type&&(u=!0)}}if(c){\"overlay\"!==p&&l(\"barnorm\"),l(\"bargap\",u&&!h?0:.2),l(\"bargroupgap\");var y=l(\"barcornerradius\");e.barcornerradius=s(y)}else delete e.barmode}},32995:function(t,e,r){\"use strict\";var n=r(45568),i=r(10721),a=r(34809),o=r(30635),s=r(78766),l=r(62203),c=r(33626),u=r(29714).tickText,h=r(84102),f=h.recordMinTextSize,p=h.clearMinTextSize,d=r(6851),m=r(42843),g=r(56155),y=r(81481),v=y.text,x=y.textposition,_=r(36040).appendArrayPointValue,b=g.TEXTPAD;function w(t){return t.id}function T(t){if(t.ids)return w}function k(t){return(t>0)-(t<0)}function A(t,e){return t<e?1:-1}function M(t,e,r,n){var i;return!e.uniformtext.mode&&S(r)?(n&&(i=n()),t.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){i&&i()})).each(\"interrupt\",(function(){i&&i()}))):t}function S(t){return t&&t.duration>0}function E(t,e,r,n,i){return!(t<0||e<0)&&(r<=t&&n<=e||r<=e&&n<=t||(i?t>=r*(e/n):e>=n*(t/r)))}function C(t){return\"auto\"===t?0:t}function L(t,e){var r=Math.PI/180*e,n=Math.abs(Math.sin(r)),i=Math.abs(Math.cos(r));return{x:t.width*i+t.height*n,y:t.width*n+t.height*i}}function I(t,e,r,n,i,a){var o=!!a.isHorizontal,s=!!a.constrained,l=a.angle||0,c=a.anchor,u=\"end\"===c,h=\"start\"===c,f=((a.leftToRight||0)+1)/2,p=1-f,d=a.hasB,m=a.r,g=a.overhead,y=i.width,v=i.height,x=Math.abs(e-t),_=Math.abs(n-r),w=x>2*b&&_>2*b?b:0;x-=2*w,_-=2*w;var T=C(l);\"auto\"!==l||y<=x&&v<=_||!(y>x||v>_)||(y>_||v>x)&&y<v==x<_||(T+=90);var k,M,S=L(i,T);if(m&&m-g>b){var E=function(t,e,r,n,i,a,o,s,l){var c,u,h,f,p=Math.max(0,Math.abs(e-t)-2*b),d=Math.max(0,Math.abs(n-r)-2*b),m=a-b,g=o?m-Math.sqrt(m*m-(m-o)*(m-o)):m,y=l?2*m:s?m-o:2*g,v=l?2*m:s?2*g:m-o;return 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B=o?A(t,e):A(r,n);o?h?(z=t+B*w,D=-B*F):(z=e-B*w,D=B*F):h?(O=r+B*w,R=-B*F):(O=n-B*w,R=B*F)}return{textX:I,textY:P,targetX:z,targetY:O,anchorX:D,anchorY:R,scale:k,rotate:T}}t.exports={plot:function(t,e,r,h,g,y){var w=e.xaxis,P=e.yaxis,z=t._fullLayout,O=t._context.staticPlot;g||(g={mode:z.barmode,norm:z.barmode,gap:z.bargap,groupgap:z.bargroupgap},p(\"bar\",z));var D=a.makeTraceGroups(h,r,\"trace bars\").each((function(r){var c=n.select(this),h=r[0].trace,p=r[0].t,D=\"waterfall\"===h.type,R=\"funnel\"===h.type,F=\"histogram\"===h.type,B=\"bar\"===h.type,N=B||R,j=0;D&&h.connector.visible&&\"between\"===h.connector.mode&&(j=h.connector.line.width/2);var U=\"h\"===h.orientation,V=S(g),q=a.ensureSingle(c,\"g\",\"points\"),H=T(h),G=q.selectAll(\"g.point\").data(a.identity,H);G.enter().append(\"g\").classed(\"point\",!0),G.exit().remove(),G.each((function(c,T){var S,D,R=n.select(this),q=function(t,e,r,n){var i=[],a=[],o=n?e:r,s=n?r:e;return 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r,n=U?Math.abs(W-Z):Math.abs(G-H),i=U?Math.abs(G-H):Math.abs(W-Z),a=J(Math.abs(Q(K,!0)-Q(0,!0))),o=c.hasB?Math.min(n/2,i/2):Math.min(n/2,a);return r=\"%\"===e?n*(Math.min(50,t)/100):t,J(Math.max(Math.min(r,o),0))}(p.cornerradiusvalue,p.cornerradiusform):0,nt=\"M\"+H+\",\"+Z+\"V\"+W+\"H\"+G+\"V\"+Z+\"Z\",it=0;if(rt&&c.s){var at=0===k(c.s0)||k(c.s)===k(c.s0)?c.s1:c.s0;if((it=J(c.hasB?0:Math.abs(Q(K,!0)-Q(at,!0))))<rt){var ot=A(H,G),st=A(Z,W),lt=ot===-st?1:0;if(U)if(c.hasB)tt=\"M\"+(H+rt*ot)+\",\"+Z+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" \"+H+\",\"+(Z+rt*st)+\"V\"+(W-rt*st)+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" \"+(H+rt*ot)+\",\"+W+\"H\"+(G-rt*ot)+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" \"+G+\",\"+(W-rt*st)+\"V\"+(Z+rt*st)+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" \"+(G-rt*ot)+\",\"+Z+\"Z\";else{var ct=(et=Math.abs(G-H)+it)<rt?rt-Math.sqrt(et*(2*rt-et)):0,ut=it>0?Math.sqrt(it*(2*rt-it)):0,ht=ot>0?Math.max:Math.min;tt=\"M\"+H+\",\"+Z+\"V\"+(W-ct*st)+\"H\"+ht(G-(rt-it)*ot,H)+\"A \"+rt+\",\"+rt+\" 0 0 \"+lt+\" 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mt=M(a.ensureSingle(R,\"path\"),z,g,y);if(mt.style(\"vector-effect\",O?\"none\":\"non-scaling-stroke\").attr(\"d\",isNaN((G-H)*(W-Z))||Y&&t._context.staticPlot?\"M0,0Z\":tt).call(l.setClipUrl,e.layerClipId,t),!z.uniformtext.mode&&V){var gt=l.makePointStyleFns(h);l.singlePointStyle(c,mt,h,gt,t)}!function(t,e,r,n,i,s,c,h,p,g,y,w,T){var k,S=e.xaxis,P=e.yaxis,z=t._fullLayout;function O(e,r,n){return a.ensureSingle(e,\"text\").text(r).attr({class:\"bartext bartext-\"+k,\"text-anchor\":\"middle\",\"data-notex\":1}).call(l.font,n).call(o.convertToTspans,t)}var D=n[0].trace,R=\"h\"===D.orientation,F=function(t,e,r,n,i){var o,s=e[0].trace;return o=s.texttemplate?function(t,e,r,n,i){var o=e[0].trace,s=a.castOption(o,r,\"texttemplate\");if(!s)return\"\";var l,c,h,f,p=\"histogram\"===o.type,d=\"waterfall\"===o.type,m=\"funnel\"===o.type,g=\"h\"===o.orientation;function y(t){return u(f,f.c2l(t),!0).text}g?(l=\"y\",c=i,h=\"x\",f=n):(l=\"x\",c=n,h=\"y\",f=i);var 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i=t[0].trace,o=\"h\"===i.orientation,s=\"waterfall\"===i.type,l=\"funnel\"===i.type;function c(t){return u(o?r:n,+t,!0).text}var h,f,p=i.textinfo,d=t[e],m=p.split(\"+\"),g=[],y=function(t){return-1!==m.indexOf(t)};if(y(\"label\")&&g.push((f=t[e].p,u(o?n:r,f,!0).text)),y(\"text\")&&(0===(h=a.castOption(i,d.i,\"text\"))||h)&&g.push(h),s){var v=+d.rawS||d.s,x=d.v,_=x-v;y(\"initial\")&&g.push(c(_)),y(\"delta\")&&g.push(c(v)),y(\"final\")&&g.push(c(x))}if(l){y(\"value\")&&g.push(c(d.s));var b=0;y(\"percent initial\")&&b++,y(\"percent previous\")&&b++,y(\"percent total\")&&b++;var w=b>1;y(\"percent initial\")&&(h=a.formatPercent(d.begR),w&&(h+=\" of initial\"),g.push(h)),y(\"percent previous\")&&(h=a.formatPercent(d.difR),w&&(h+=\" of previous\"),g.push(h)),y(\"percent total\")&&(h=a.formatPercent(d.sumR),w&&(h+=\" of total\"),g.push(h))}return g.join(\"<br>\")}(e,r,n,i):m.getValue(s.text,r),m.coerceString(v,o)}(z,n,i,S,P);k=function(t,e){var r=m.getValue(t.textposition,e);return m.coerceEnumerated(x,r)}(D,i);var B=\"stack\"===w.mode||\"relative\"===w.mode,N=n[i],j=!B||N._outmost,U=N.hasB,V=g&&g-y>b;if(F&&\"none\"!==k&&(!N.isBlank&&s!==c&&h!==p||\"auto\"!==k&&\"inside\"!==k)){var q=z.font,H=d.getBarColor(n[i],D),G=d.getInsideTextFont(D,i,q,H),Z=d.getOutsideTextFont(D,i,q),W=D.insidetextanchor||\"end\",Y=r.datum();R?\"log\"===S.type&&Y.s0<=0&&(s=S.range[0]<S.range[1]?0:S._length):\"log\"===P.type&&Y.s0<=0&&(h=P.range[0]<P.range[1]?P._length:0);var X,$,J,K,Q,tt=Math.abs(c-s),et=Math.abs(p-h),rt=tt-2*b,nt=et-2*b;if(\"outside\"===k&&(j||N.hasB||(k=\"inside\")),\"auto\"===k)if(j){k=\"inside\",X=O(r,F,Q=a.ensureUniformFontSize(t,G)),J=($=l.bBox(X.node())).width,K=$.height;var it,at=J>0&&K>0;it=V?U?E(rt-2*g,nt,J,K,R)||E(rt,nt-2*g,J,K,R):R?E(rt-(g-y),nt,J,K,R)||E(rt,nt-2*(g-y),J,K,R):E(rt,nt-(g-y),J,K,R)||E(rt-2*(g-y),nt,J,K,R):E(rt,nt,J,K,R),at&&it?k=\"inside\":(k=\"outside\",X.remove(),X=null)}else k=\"inside\";if(!X){var ot=(X=O(r,F,Q=a.ensureUniformFontSize(t,\"outside\"===k?Z:G))).attr(\"transform\");if(X.attr(\"transform\",\"\"),J=($=l.bBox(X.node())).width,K=$.height,X.attr(\"transform\",ot),J<=0||K<=0)return void X.remove()}var st,lt=D.textangle;st=\"outside\"===k?function(t,e,r,n,i,a){var o,s=!!a.isHorizontal,l=!!a.constrained,c=a.angle||0,u=i.width,h=i.height,f=Math.abs(e-t),p=Math.abs(n-r);o=s?p>2*b?b:0:f>2*b?b:0;var d=1;l&&(d=s?Math.min(1,p/h):Math.min(1,f/u));var m=C(c),g=L(i,m),y=(s?g.x:g.y)/2,v=(i.left+i.right)/2,x=(i.top+i.bottom)/2,_=(t+e)/2,w=(r+n)/2,T=0,k=0,M=s?A(e,t):A(r,n);return s?(_=e-M*o,T=M*y):(w=n+M*o,k=-M*y),{textX:v,textY:x,targetX:_,targetY:w,anchorX:T,anchorY:k,scale:d,rotate:m}}(s,c,h,p,$,{isHorizontal:R,constrained:\"both\"===D.constraintext||\"outside\"===D.constraintext,angle:lt}):I(s,c,h,p,$,{isHorizontal:R,constrained:\"both\"===D.constraintext||\"inside\"===D.constraintext,angle:lt,anchor:W,hasB:U,r:g,overhead:y}),st.fontSize=Q.size,f(\"histogram\"===D.type?\"bar\":D.type,st,z),N.transform=st;var ct=M(X,z,w,T);a.setTransormAndDisplay(ct,st)}else r.select(\"text\").remove()}(t,e,R,r,T,H,G,Z,W,rt,it,g,y),e.layerClipId&&l.hideOutsideRangePoint(c,R.select(\"text\"),w,P,h.xcalendar,h.ycalendar)}));var Z=!1===h.cliponaxis;l.setClipUrl(c,Z?null:e.layerClipId,t)}));c.getComponentMethod(\"errorbars\",\"plot\")(t,D,e,g)},toMoveInsideBar:I}},88384:function(t){\"use strict\";function e(t,e,r,n,i){var a=e.c2p(n?t.s0:t.p0,!0),o=e.c2p(n?t.s1:t.p1,!0),s=r.c2p(n?t.p0:t.s0,!0),l=r.c2p(n?t.p1:t.s1,!0);return i?[(a+o)/2,(s+l)/2]:n?[o,(s+l)/2]:[(a+o)/2,l]}t.exports=function(t,r){var n,i=t.cd,a=t.xaxis,o=t.yaxis,s=i[0].trace,l=\"funnel\"===s.type,c=\"h\"===s.orientation,u=[];if(!1===r)for(n=0;n<i.length;n++)i[n].selected=0;else for(n=0;n<i.length;n++){var h=i[n],f=\"ct\"in h?h.ct:e(h,a,o,c,l);r.contains(f,!1,n,t)?(u.push({pointNumber:n,x:a.c2d(h.x),y:o.c2d(h.y)}),h.selected=1):h.selected=0}return u}},2880:function(t,e,r){\"use strict\";t.exports=i;var n=r(34809).distinctVals;function i(t,e){this.traces=t,this.sepNegVal=e.sepNegVal,this.overlapNoMerge=e.overlapNoMerge;for(var r=1/0,i=e.posAxis._id.charAt(0),a=[],o=0;o<t.length;o++){for(var s=t[o],l=0;l<s.length;l++){var c=s[l],u=c.p;void 0===u&&(u=c[i]),void 0!==u&&a.push(u)}s[0]&&s[0].width1&&(r=Math.min(s[0].width1,r))}this.positions=a;var h=n(a);this.distinctPositions=h.vals,1===h.vals.length&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(h.minDiff,r);var 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c(t,e,r){for(var n,o,l,c=t.cd,u=t.xa,h=t.ya,f=c[0].trace,p=u.c2p(e),d=h.c2p(r),m=a.quadrature((function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(u.c2p(t.x)-p)-e,1-3/e)}),(function(t){var e=Math.max(3,t.mrc||0);return Math.max(Math.abs(h.c2p(t.y)-d)-e,1-3/e)})),g=!1,y=0;y<c.length;y++){o=c[y];for(var v=0;v<(o.pts||[]).length;v++){var x=m(l=o.pts[v]);x<=t.distance&&(t.distance=x,g=[y,v])}}if(!g)return!1;l=(o=c[g[0]]).pts[g[1]];var _=u.c2p(l.x,!0),b=h.c2p(l.y,!0),w=l.mrc||1;n=i.extendFlat({},t,{index:l.i,color:(f.marker||{}).color,name:f.name,x0:_-w,x1:_+w,y0:b-w,y1:b+w,spikeDistance:t.distance,hovertemplate:f.hovertemplate});var T,k=o.orig_p,A=void 0!==k?k:o.pos;return\"h\"===f.orientation?(T=h,n.xLabelVal=l.x,n.yLabelVal=A):(T=u,n.xLabelVal=A,n.yLabelVal=l.y),n[T._id.charAt(0)+\"Spike\"]=T.c2p(o.pos,!0),s(l,f,n),n}t.exports={hoverPoints:function(t,e,r,n){var i,a=t.cd[0].trace.hoveron,o=[];return-1!==a.indexOf(\"boxes\")&&(o=o.concat(l(t,e,r,n))),-1!==a.indexOf(\"points\")&&(i=c(t,e,r)),\"closest\"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:c}},53794:function(t,e,r){\"use strict\";t.exports={attributes:r(64625),layoutAttributes:r(64636),supplyDefaults:r(62294).supplyDefaults,crossTraceDefaults:r(62294).crossTraceDefaults,supplyLayoutDefaults:r(65067).supplyLayoutDefaults,calc:r(89429),crossTraceCalc:r(81606).crossTraceCalc,plot:r(95419).plot,style:r(59979).style,styleOnSelect:r(59979).styleOnSelect,hoverPoints:r(11448).hoverPoints,eventData:r(76429),selectPoints:r(72488),moduleType:\"trace\",name:\"box\",basePlotModule:r(37703),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"boxLayout\",\"zoomScale\"],meta:{}}},64636:function(t){\"use 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_=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?i.identity:[]);_.enter().append(\"path\").style(\"vector-effect\",o?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),_.exit().remove(),_.each((function(t){if(t.empty)return n.select(this).attr(\"d\",\"M0,0Z\");var e=h.c2l(t.pos+p,!0),a=h.l2p(e-s)+m,o=h.l2p(e+l)+m,_=f?(a+o)/2:h.l2p(e)+m,b=r.whiskerwidth,w=f?a*b+(1-b)*_:h.l2p(e-d)+m,T=f?o*b+(1-b)*_:h.l2p(e+d)+m,k=h.l2p(e-s*x)+m,A=h.l2p(e+l*x)+m,M=\"sd\"===r.sizemode,S=u.c2p(M?t.mean-t.sd:t.q1,!0),E=M?u.c2p(t.mean+t.sd,!0):u.c2p(t.q3,!0),C=i.constrain(M?u.c2p(t.mean,!0):u.c2p(t.med,!0),Math.min(S,E)+1,Math.max(S,E)-1),L=void 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n=r(34809).isArray1D;t.exports=function(t,e,r){var i=r(\"x\"),a=i&&i.length,o=r(\"y\"),s=o&&o.length;if(!a&&!s)return!1;if(e._cheater=!i,a&&!n(i)||s&&!n(o))e._length=null;else{var l=a?i.length:1/0;s&&(l=Math.min(l,o.length)),e.a&&e.a.length&&(l=Math.min(l,e.a.length)),e.b&&e.b.length&&(l=Math.min(l,e.b.length)),e._length=l}return!0}},92802:function(t,e,r){\"use strict\";var n=r(3208).rb,i=r(6893),a=r(87163),o=r(9829),s=r(10229).defaultLine,l=r(93049).extendFlat,c=i.marker.line;t.exports=l({locations:{valType:\"data_array\",editType:\"calc\"},locationmode:i.locationmode,z:{valType:\"data_array\",editType:\"calc\"},geojson:l({},i.geojson,{}),featureidkey:i.featureidkey,text:l({},i.text,{}),hovertext:l({},i.hovertext,{}),marker:{line:{color:l({},c.color,{dflt:s}),width:l({},c.width,{dflt:1}),editType:\"calc\"},opacity:{valType:\"number\",arrayOk:!0,min:0,max:1,dflt:1,editType:\"style\"},editType:\"calc\"},selected:{marker:{opacity:i.selected.marker.opacity,editType:\"plot\"},editType:\"plot\"},unselected:{marker:{opacity:i.unselected.marker.opacity,editType:\"plot\"},editType:\"plot\"},hoverinfo:l({},o.hoverinfo,{editType:\"calc\",flags:[\"location\",\"z\",\"text\",\"name\"]}),hovertemplate:n(),showlegend:l({},o.showlegend,{dflt:!1})},a(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},12702:function(t,e,r){\"use strict\";var 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t.x0=t.x1=t.xa.c2p(o.ct),t.y0=t.y1=t.ya.c2p(o.ct),t.index=o.index,t.location=o.loc,t.z=o.z,t.zLabel=n.tickText(f.mockAxis,f.mockAxis.c2l(o.z),\"hover\").text,t.hovertemplate=o.hovertemplate,function(t,e,r){if(!e.hovertemplate){var n=r.hi||e.hoverinfo,o=String(r.loc),s=\"all\"===n?i.hoverinfo.flags:n.split(\"+\"),l=-1!==s.indexOf(\"name\"),c=-1!==s.indexOf(\"location\"),u=-1!==s.indexOf(\"z\"),h=-1!==s.indexOf(\"text\"),f=[];!l&&c?t.nameOverride=o:(l&&(t.nameOverride=e.name),c&&f.push(o)),u&&f.push(t.zLabel),h&&a(r,e,f),t.extraText=f.join(\"<br>\")}}(t,h,o),[t]}},58075:function(t,e,r){\"use 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d.geojson=null}if(\"geojson\"===n.fitbounds&&\"geojson-id\"===l){var y=a.computeBbox(a.getTraceGeojson(r));h=[y[0],y[2]],f=[y[1],y[3]]}var v={padded:!0};r._extremes.lon=s(n.lonaxis._ax,h,v),r._extremes.lat=s(n.lataxis._ax,f,v)},plot:function(t,e,r){var a=e.layers.backplot.select(\".choroplethlayer\");i.makeTraceGroups(a,r,\"trace choropleth\").each((function(e){var r=n.select(this).selectAll(\"path.choroplethlocation\").data(i.identity);r.enter().append(\"path\").classed(\"choroplethlocation\",!0),r.exit().remove(),l(t,e)}))}}},43727:function(t){\"use strict\";t.exports=function(t,e){var r,n,i,a,o,s=t.cd,l=t.xaxis,c=t.yaxis,u=[];if(!1===e)for(r=0;r<s.length;r++)s[r].selected=0;else for(r=0;r<s.length;r++)(i=(n=s[r]).ct)&&(a=l.c2p(i),o=c.c2p(i),e.contains([a,o],null,r,t)?(u.push({pointNumber:r,lon:i[0],lat:i[1]}),n.selected=1):n.selected=0);return u}},59342:function(t,e,r){\"use strict\";var n=r(45568),i=r(78766),a=r(62203),o=r(88856);function s(t,e){var 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n=r(92802),i=r(87163),a=r(3208).rb,o=r(9829),s=r(93049).extendFlat;t.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:a({},{keys:[\"properties\"]}),showlegend:s({},o.showlegend,{dflt:!1})},i(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},40980:function(t,e,r){\"use strict\";var n=r(10721),i=r(34809),a=r(88856),o=r(62203),s=r(39532).makeBlank,l=r(3994);function c(t){var e,r=t[0].trace,n=r._opts;if(r.selectedpoints){for(var a=o.makeSelectedPointStyleFns(r),s=0;s<t.length;s++){var l=t[s];l.fOut&&(l.fOut.properties.mo2=a.selectedOpacityFn(l))}e={type:\"identity\",property:\"mo2\"}}else e=i.isArrayOrTypedArray(r.marker.opacity)?{type:\"identity\",property:\"mo\"}:r.marker.opacity;return i.extendFlat(n.fill.paint,{\"fill-opacity\":e}),i.extendFlat(n.line.paint,{\"line-opacity\":e}),n}t.exports={convert:function(t){var e=t[0].trace,r=!0===e.visible&&0!==e._length,o={layout:{visibility:\"none\"},paint:{}},u={layout:{visibility:\"none\"},paint:{}},h=e._opts={fill:o,line:u,geojson:s()};if(!r)return h;var f=l.extractTraceFeature(t);if(!f)return h;var p,d,m,g=a.makeColorScaleFuncFromTrace(e),y=e.marker,v=y.line||{};i.isArrayOrTypedArray(y.opacity)&&(p=function(t){var e=t.mo;return n(e)?+i.constrain(e,0,1):0}),i.isArrayOrTypedArray(v.color)&&(d=function(t){return t.mlc}),i.isArrayOrTypedArray(v.width)&&(m=function(t){return t.mlw});for(var x=0;x<t.length;x++){var _=t[x],b=_.fOut;if(b){var w=b.properties;w.fc=g(_.z),p&&(w.mo=p(_)),d&&(w.mlc=d(_)),m&&(w.mlw=m(_)),_.ct=w.ct,_._polygons=l.feature2polygons(b)}}var T=p?{type:\"identity\",property:\"mo\"}:y.opacity;return i.extendFlat(o.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":T}),i.extendFlat(u.paint,{\"line-color\":d?{type:\"identity\",property:\"mlc\"}:v.color,\"line-width\":m?{type:\"identity\",property:\"mlw\"}:v.width,\"line-opacity\":T}),o.layout.visibility=\"visible\",u.layout.visibility=\"visible\",h.geojson={type:\"FeatureCollection\",features:f},c(t),h},convertOnSelect:c}},94149:function(t,e,r){\"use strict\";var n=r(34809),i=r(39356),a=r(34770);t.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"locations\"),c=s(\"z\"),u=s(\"geojson\");n.isArrayOrTypedArray(l)&&l.length&&n.isArrayOrTypedArray(c)&&c.length&&(\"string\"==typeof u&&\"\"!==u||n.isPlainObject(u))?(s(\"featureidkey\"),e._length=Math.min(l.length,c.length),s(\"below\"),s(\"text\"),s(\"hovertext\"),s(\"hovertemplate\"),s(\"marker.line.width\")&&s(\"marker.line.color\"),s(\"marker.opacity\"),i(t,e,o,s,{prefix:\"\",cLetter:\"z\"}),n.coerceSelectionMarkerOpacity(e,s)):e.visible=!1}},9419:function(t,e,r){\"use strict\";t.exports={attributes:r(34770),supplyDefaults:r(94149),colorbar:r(12431),calc:r(12702),plot:r(30316),hoverPoints:r(94125),eventData:r(38414),selectPoints:r(43727),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.updateOnSelect(e)},getBelow:function(t,e){for(var r=e.getMapLayers(),n=r.length-2;n>=0;n--){var i=r[n].id;if(\"string\"==typeof i&&0===i.indexOf(\"water\"))for(var a=n+1;a<r.length;a++)if(\"string\"==typeof(i=r[a].id)&&-1===i.indexOf(\"plotly-\"))return i}},moduleType:\"trace\",name:\"choroplethmap\",basePlotModule:r(34091),categories:[\"map\",\"gl\",\"noOpacity\",\"showLegend\"],meta:{hr_name:\"choropleth_map\"}}},30316:function(t,e,r){\"use strict\";var n=r(40980).convert,i=r(40980).convertOnSelect,a=r(8814).traceLayerPrefix;function o(t,e){this.type=\"choroplethmap\",this.subplot=t,this.uid=e,this.sourceId=\"source-\"+e,this.layerList=[[\"fill\",a+e+\"-fill\"],[\"line\",a+e+\"-line\"]],this.below=null}var s=o.prototype;s.update=function(t){this._update(n(t)),t[0].trace._glTrace=this},s.updateOnSelect=function(t){this._update(i(t))},s._update=function(t){var e=this.subplot,r=this.layerList,n=e.belowLookup[\"trace-\"+this.uid];e.map.getSource(this.sourceId).setData(t.geojson),n!==this.below&&(this._removeLayers(),this._addLayers(t,n),this.below=n);for(var i=0;i<r.length;i++){var a=r[i],o=a[0],s=a[1],l=t[o];e.setOptions(s,\"setLayoutProperty\",l.layout),\"visible\"===l.layout.visibility&&e.setOptions(s,\"setPaintProperty\",l.paint)}},s._addLayers=function(t,e){for(var r=this.subplot,n=this.layerList,i=this.sourceId,a=0;a<n.length;a++){var o=n[a],s=o[0],l=t[s];r.addLayer({type:s,id:o[1],source:i,layout:l.layout,paint:l.paint},e)}},s._removeLayers=function(){for(var t=this.subplot.map,e=this.layerList,r=e.length-1;r>=0;r--)t.removeLayer(e[r][1])},s.dispose=function(){var t=this.subplot.map;this._removeLayers(),t.removeSource(this.sourceId)},t.exports=function(t,e){var r=e[0].trace,i=new o(t,r.uid),a=i.sourceId,s=n(e),l=i.below=t.belowLookup[\"trace-\"+r.uid];return t.map.addSource(a,{type:\"geojson\",data:s.geojson}),i._addLayers(s,l),e[0].trace._glTrace=i,i}},86227:function(t,e,r){\"use strict\";var n=r(92802),i=r(87163),a=r(3208).rb,o=r(9829),s=r(93049).extendFlat;t.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:a({},{keys:[\"properties\"]}),showlegend:s({},o.showlegend,{dflt:!1})},i(\"\",{cLetter:\"z\",editTypeOverride:\"calc\"}))},51335:function(t,e,r){\"use strict\";var n=r(10721),i=r(34809),a=r(88856),o=r(62203),s=r(39532).makeBlank,l=r(3994);function c(t){var e,r=t[0].trace,n=r._opts;if(r.selectedpoints){for(var a=o.makeSelectedPointStyleFns(r),s=0;s<t.length;s++){var l=t[s];l.fOut&&(l.fOut.properties.mo2=a.selectedOpacityFn(l))}e={type:\"identity\",property:\"mo2\"}}else e=i.isArrayOrTypedArray(r.marker.opacity)?{type:\"identity\",property:\"mo\"}:r.marker.opacity;return i.extendFlat(n.fill.paint,{\"fill-opacity\":e}),i.extendFlat(n.line.paint,{\"line-opacity\":e}),n}t.exports={convert:function(t){var e=t[0].trace,r=!0===e.visible&&0!==e._length,o={layout:{visibility:\"none\"},paint:{}},u={layout:{visibility:\"none\"},paint:{}},h=e._opts={fill:o,line:u,geojson:s()};if(!r)return h;var f=l.extractTraceFeature(t);if(!f)return h;var p,d,m,g=a.makeColorScaleFuncFromTrace(e),y=e.marker,v=y.line||{};i.isArrayOrTypedArray(y.opacity)&&(p=function(t){var e=t.mo;return n(e)?+i.constrain(e,0,1):0}),i.isArrayOrTypedArray(v.color)&&(d=function(t){return t.mlc}),i.isArrayOrTypedArray(v.width)&&(m=function(t){return t.mlw});for(var x=0;x<t.length;x++){var _=t[x],b=_.fOut;if(b){var w=b.properties;w.fc=g(_.z),p&&(w.mo=p(_)),d&&(w.mlc=d(_)),m&&(w.mlw=m(_)),_.ct=w.ct,_._polygons=l.feature2polygons(b)}}var T=p?{type:\"identity\",property:\"mo\"}:y.opacity;return i.extendFlat(o.paint,{\"fill-color\":{type:\"identity\",property:\"fc\"},\"fill-opacity\":T}),i.extendFlat(u.paint,{\"line-color\":d?{type:\"identity\",property:\"mlc\"}:v.color,\"line-width\":m?{type:\"identity\",property:\"mlw\"}:v.width,\"line-opacity\":T}),o.layout.visibility=\"visible\",u.layout.visibility=\"visible\",h.geojson={type:\"FeatureCollection\",features:f},c(t),h},convertOnSelect:c}},8244:function(t,e,r){\"use strict\";var n=r(34809),i=r(39356),a=r(86227);t.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"locations\"),c=s(\"z\"),u=s(\"geojson\");n.isArrayOrTypedArray(l)&&l.length&&n.isArrayOrTypedArray(c)&&c.length&&(\"string\"==typeof 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k=[\"interpolate\",[\"linear\"],[\"get\",\"z\"],_.min,0,_.max,1];return i.extendFlat(c.heatmap.paint,{\"heatmap-weight\":d?k:1/(_.max-_.min),\"heatmap-color\":T,\"heatmap-radius\":m?{type:\"identity\",property:\"r\"}:e.radius,\"heatmap-opacity\":e.opacity}),c.geojson={type:\"FeatureCollection\",features:h},c.heatmap.layout.visibility=\"visible\",c}},1892:function(t,e,r){\"use strict\";var n=r(34809),i=r(39356),a=r(17347);t.exports=function(t,e,r,o){function s(r,i){return n.coerce(t,e,a,r,i)}var l=s(\"lon\")||[],c=s(\"lat\")||[],u=Math.min(l.length,c.length);u?(e._length=u,s(\"z\"),s(\"radius\"),s(\"below\"),s(\"text\"),s(\"hovertext\"),s(\"hovertemplate\"),i(t,e,o,s,{prefix:\"\",cLetter:\"z\"})):e.visible=!1}},8919:function(t){\"use strict\";t.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t.z=e.z,t}},54478:function(t,e,r){\"use strict\";var n=r(29714),i=r(18016).hoverPoints,a=r(18016).getExtraText;t.exports=function(t,e,r){var o=i(t,e,r);if(o){var 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n,i=r(81481),a=r(36640).line,o=r(9829),s=r(80712).axisHoverFormat,l=r(3208).rb,c=r(3208).ay,u=r(87948),h=r(93049).extendFlat,f=r(78766);t.exports={x:i.x,x0:i.x0,dx:i.dx,y:i.y,y0:i.y0,dy:i.dy,xperiod:i.xperiod,yperiod:i.yperiod,xperiod0:i.xperiod0,yperiod0:i.yperiod0,xperiodalignment:i.xperiodalignment,yperiodalignment:i.yperiodalignment,xhoverformat:s(\"x\"),yhoverformat:s(\"y\"),hovertext:i.hovertext,hovertemplate:l({},{keys:u.eventDataKeys}),hoverinfo:h({},o.hoverinfo,{flags:[\"name\",\"x\",\"y\",\"text\",\"percent initial\",\"percent previous\",\"percent total\"]}),textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"percent initial\",\"percent previous\",\"percent 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n=r(29714),i=r(40528),a=r(43179),o=r(48861),s=r(63821).BADNUM;function l(t){return t===s?0:t}t.exports=function(t,e){var r,c,u,h,f,p,d,m,g=n.getFromId(t,e.xaxis||\"x\"),y=n.getFromId(t,e.yaxis||\"y\");\"h\"===e.orientation?(r=g.makeCalcdata(e,\"x\"),u=y.makeCalcdata(e,\"y\"),h=i(e,y,\"y\",u),f=!!e.yperiodalignment,p=\"y\"):(r=y.makeCalcdata(e,\"y\"),u=g.makeCalcdata(e,\"x\"),h=i(e,g,\"x\",u),f=!!e.xperiodalignment,p=\"x\"),c=h.vals;var v,x=Math.min(c.length,r.length),_=new Array(x);for(e._base=[],d=0;d<x;d++){r[d]<0&&(r[d]=s);var b=!1;r[d]!==s&&d+1<x&&r[d+1]!==s&&(b=!0),m=_[d]={p:c[d],s:r[d],cNext:b},e._base[d]=-.5*m.s,f&&(_[d].orig_p=u[d],_[d][p+\"End\"]=h.ends[d],_[d][p+\"Start\"]=h.starts[d]),e.ids&&(m.id=String(e.ids[d])),0===d&&(_[0].vTotal=0),_[0].vTotal+=l(m.s),m.begR=l(m.s)/l(_[0].s)}for(d=0;d<x;d++)(m=_[d]).s!==s&&(m.sumR=m.s/_[0].vTotal,m.difR=void 0!==v?m.s/v:1,v=m.s);return a(_,e),o(_,e),_}},87948:function(t){\"use 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P=h.selectAll(\"g.value-bullet\").data([u.gauge.bar]);P.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),P.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(_)?P.select(\"rect\").transition().duration(_.duration).ease(_.easing).each(\"end\",(function(){b&&b()})).each(\"interrupt\",(function(){b&&b()})).attr(\"width\",Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y)))):P.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y))):0),P.exit().remove();var z=r.filter((function(){return 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n=r(71293).wrap,i=r(65477).hasColorscale,a=r(28379),o=r(48965),s=r(62203),l=r(34809),c=r(10721);function u(t,e,r){t.valueInds.push(e),t.count+=r}function h(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function f(t,e,r){t.valueInds.push(e),t.count+=r}t.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,m,g=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!c(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o)}var l=e.map((function(t){return 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t.dimensions}),p);A.enter().append(\"g\").attr(\"class\",\"dimension\"),A.attr(\"transform\",(function(t){return l(t.x,0)})),A.exit().remove();var M=A.selectAll(\"g.category\").data((function(t){return t.categories}),p),S=M.enter().append(\"g\").attr(\"class\",\"category\");M.attr(\"transform\",(function(t){return l(0,t.y)})),S.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),M.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),T(S);var E=M.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p);E.each((function(){s.raiseToTop(this)})),E.attr(\"fill\",(function(t){return t.color}));var O=E.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);E.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(O),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\"),M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return 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0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",C).on(\"mouseout\",L),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",I).on(\"drag\",P).on(\"dragend\",z)),f.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),f.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function m(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function 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_=t.parcatsViewModel.x+i,b=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),C=n.mouse(h)[0];o.loneHover({trace:f,x:_-d.left+m.left,y:b-d.top+m.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:C<_?\"right\":\"left\",hovertemplate:(f.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:f._input,fullData:f,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:h})}}}function y(t){if(!t.parcatsViewModel.dragDimension&&(b(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(m),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=v(t),r=x(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 i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function _(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=v(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function b(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return u.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,v(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,v(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),h=u.parcatsViewModel,f=h.model.dimensions[u.model.dimensionInd],p=h.trace,d=c.top+c.height/2;h.dimensions.length>1&&f.displayInd===h.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var m=u.model.count,g=u.model.categoryLabel,y=m/u.parcatsViewModel.model.count,v={countLabel:m,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",v.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+v.categoryLabel+\"):\",v.probabilityLabel].join(\" \"));var _=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:_,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", 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e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(c),M(c,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")&&(\"category\"===l?e=E(r,a,c):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),h=c.categoryViewModel,f=h.parcatsViewModel,p=f.model.dimensions[h.model.dimensionInd],d=f.trace,m=l.y+l.height/2;f.dimensions.length>1&&p.displayInd===f.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=h.model.categoryLabel,y=c.parcatsViewModel.model.count,v=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(v+=t.count)}));var x=h.model.count,_=0;f.pathSelection.each((function(t){t.model.color===c.color&&(_+=t.model.count)}));var b=v/y,w=v/_,T=v/x,k={countLabel:v,categoryLabel:g,probabilityLabel:b.toFixed(3)},A=[];-1!==h.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==h.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color ∩ \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=u.mostReadable(c.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(m-e.top),text:M,color:c.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:b,categorycount:x,colorcount:_,bandcolorcount:v}]}}(r,a,c):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,c)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function L(t){var e=t.parcatsViewModel;e.dragDimension||(b(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(m),-1!==e.hoverinfoItems.indexOf(\"skip\"))||(\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event))}function I(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function P(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],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){a.model.dragX=n.event.x;var f=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==f&&a.model.dragX<f.x+f.width&&(a.model.displayInd=f.model.displayInd,f.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function z(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 i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),h=c.map((function(t){return 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e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),h=Math.floor(c*(s.y[1]-s.y[0])),f=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var 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b=y.categoryInds[_],w=i[_][b],T=a[_];x[T]=n[T][w],n[T][w]+=g;var k=t.dimensions[T].categories[w],A=k.bands.length,M=k.bands[A-1];if(void 0===M||y.rawColor!==M.rawColor){var S=void 0===M?0:M.y+M.height;k.bands.push({key:S,color:y.color,rawColor:y.rawColor,height:g,width:k.width,count:y.count,y:S,categoryViewModel:k,parcatsViewModel:t})}else{var E=k.bands[A-1];E.height+=g,E.count+=y.count}}v=\"hspline\"===t.pathShape?B(s,x,l,g,.5):B(s,x,l,g,0),f[m]={key:y.valueInds[0],model:y,height:g,leftXs:s,topYs:x,dimWidths:l,svgD:v,parcatsViewModel:t}}t.paths=f}function j(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 i=e[n].dimensionInd,a=t.model.dimensions[i];r.push(U(t,a))}t.dimensions=r}function U(t,e){var r,n=t.model.dimensions.length,i=e.displayInd;r=40+(n>1?(t.width-80-16)/(n-1):0)*i;var 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r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,v(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),_(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?_(t.parentNode,s):(s(),_(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}t.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);i.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(\".background\").data(o);a.enter().append(\"rect\").classed(\"background\",!0).call(d).call(m).style(\"pointer-events\",i?\"none\":\"auto\").attr(\"transform\",l(0,n.verticalPadding)),a.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(\".highlight-shadow\").data(o);s.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),s.attr(\"y1\",(function(t){return t.height})).call(x);var c=t.selectAll(\".highlight\").data(o);c.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\"),c.attr(\"y1\",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},79846:function(t,e,r){\"use strict\";t.exports={attributes:r(59549),supplyDefaults:r(12842),calc:r(20113),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:r(67207),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},67207:function(t,e,r){\"use strict\";var n=r(45568),i=r(4173).eV,a=r(58823),o=r(62972);e.name=\"parcoords\",e.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},e.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,r=t.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":r,preserveAspectRatio:\"none\",x:0,y:0,width:t.style.width,height:t.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},20113:function(t,e,r){\"use strict\";var n=r(34809).isArrayOrTypedArray,i=r(88856),a=r(71293).wrap;t.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},77911:function(t){\"use strict\";t.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},12842:function(t,e,r){\"use 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s(\"line.colorscale\"),a(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(m)&&m.length||(e.visible=!1),f(e,m,\"values\",g);var y=n.extendFlat({},l.font,{size:Math.round(l.font.size/1.2)});n.coerceFont(u,\"labelfont\",y),n.coerceFont(u,\"tickfont\",y,{autoShadowDflt:!0}),n.coerceFont(u,\"rangefont\",y),u(\"labelangle\"),u(\"labelside\"),u(\"unselected.line.color\"),u(\"unselected.line.opacity\")}},62935:function(t,e,r){\"use strict\";var n=r(34809).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!(\"visible\"in t)}},83910:function(t,e,r){\"use strict\";var n=r(79846);n.plot=r(58823),t.exports=n},1293:function(t,e,r){\"use strict\";var n=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"attribute vec4 p01_04, p05_08, p09_12, p13_16,\",\"               p17_20, p21_24, p25_28, p29_32,\",\"               p33_36, p37_40, p41_44, p45_48,\",\"               p49_52, p53_56, p57_60, colors;\",\"\",\"uniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\",\"             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\",\"\",\"uniform vec2 resolution, viewBoxPos, viewBoxSize;\",\"uniform float maskHeight;\",\"uniform float drwLayer; // 0: context, 1: focus, 2: pick\",\"uniform vec4 contextColor;\",\"uniform sampler2D maskTexture, palette;\",\"\",\"bool isPick    = (drwLayer > 1.5);\",\"bool isContext = (drwLayer < 0.5);\",\"\",\"const vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\",\"const vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\",\"\",\"float val(mat4 p, mat4 v) {\",\"    return dot(matrixCompMult(p, v) * UNITS, UNITS);\",\"}\",\"\",\"float axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\",\"    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\",\"    return y1 * (1.0 - ratio) + y2 * ratio;\",\"}\",\"\",\"int iMod(int a, int b) {\",\"    return a - b * (a / b);\",\"}\",\"\",\"bool fOutside(float p, float lo, float hi) {\",\"    return (lo < hi) && (lo > p || p > hi);\",\"}\",\"\",\"bool vOutside(vec4 p, vec4 lo, vec4 hi) {\",\"    return (\",\"        fOutside(p[0], lo[0], hi[0]) ||\",\"        fOutside(p[1], lo[1], hi[1]) ||\",\"        fOutside(p[2], lo[2], hi[2]) ||\",\"        fOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool mOutside(mat4 p, mat4 lo, mat4 hi) {\",\"    return (\",\"        vOutside(p[0], lo[0], hi[0]) ||\",\"        vOutside(p[1], lo[1], hi[1]) ||\",\"        vOutside(p[2], lo[2], hi[2]) ||\",\"        vOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    return mOutside(A, loA, hiA) ||\",\"           mOutside(B, loB, hiB) ||\",\"           mOutside(C, loC, hiC) ||\",\"           mOutside(D, loD, hiD);\",\"}\",\"\",\"bool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    mat4 pnts[4];\",\"    pnts[0] = A;\",\"    pnts[1] = B;\",\"    pnts[2] = C;\",\"    pnts[3] = D;\",\"\",\"    for(int i = 0; i < 4; ++i) {\",\"        for(int j = 0; j < 4; ++j) {\",\"            for(int k = 0; k < 4; ++k) {\",\"                if(0 == iMod(\",\"                    int(255.0 * texture2D(maskTexture,\",\"                        vec2(\",\"                            (float(i * 2 + j / 2) + 0.5) / 8.0,\",\"                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\",\"                        ))[3]\",\"                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\",\"                    2\",\"                )) return true;\",\"            }\",\"        }\",\"    }\",\"    return false;\",\"}\",\"\",\"vec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float x = 0.5 * sign(v) + 0.5;\",\"    float y = axisY(x, A, B, C, D);\",\"    float z = 1.0 - abs(v);\",\"\",\"    z += isContext ? 0.0 : 2.0 * float(\",\"        outsideBoundingBox(A, B, C, D) ||\",\"        outsideRasterMask(A, B, C, D)\",\"    );\",\"\",\"    return vec4(\",\"        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\",\"        z,\",\"        1.0\",\"    );\",\"}\",\"\",\"void main() {\",\"    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\",\"    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\",\"    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\",\"    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\",\"\",\"    float v = colors[3];\",\"\",\"    gl_Position = position(isContext, v, A, B, C, D);\",\"\",\"    fragColor =\",\"        isContext ? vec4(contextColor) :\",\"        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\",\"}\"].join(\"\\n\"),i=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"void main() {\",\"    gl_FragColor = fragColor;\",\"}\"].join(\"\\n\"),a=r(77911).maxDimensionCount,o=r(34809),s=1e-6,l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function h(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function f(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],h(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function m(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var 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left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:i({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"angle\",dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"},_deprecated:{title:{valType:\"string\",dflt:\"\",editType:\"calc\"},titlefont:c({},h,{}),titleposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"calc\"}}}},96052:function(t,e,r){\"use strict\";var n=r(44122);e.name=\"pie\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a)},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a)}},44148:function(t,e,r){\"use strict\";var n=r(10721),i=r(65657),a=r(78766),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],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={},m=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<f;r++){var v,x,_;if(p){if(v=h[r],!n(v))continue;v=+v}else v=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var b=d[x=String(x)];void 0===b?(d[x]=a.length,(_=-1!==l.indexOf(x))||(g+=v),a.push({v:v,label:x,color:m(u[r],x),i:r,pts:[r],hidden:_})):(y=!0,(i=a[b]).v+=v,i.pts.push(r),i.hidden||(g+=v),!1===i.color&&u[r]&&(i.color=m(u[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var h=i[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=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},46979:function(t,e,r){\"use strict\";var n=r(10721),i=r(34809),a=r(55412),o=r(13792).N,s=r(17550).handleText,l=r(34809).coercePattern;function c(t,e){var r=i.isArrayOrTypedArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function u(t,e,r,n,i){n(\"marker.line.width\")&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var a=n(\"marker.colors\");l(n,\"marker.pattern\",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:c,handleMarkerDefaults:u,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var h=c(l(\"labels\"),l(\"values\")),f=h.len;if(e._hasLabels=h.hasLabels,e._hasValues=h.hasValues,!e._hasLabels&&e._hasValues&&(l(\"label0\"),l(\"dlabel\")),f){e._length=f,u(t,e,n,l,!0),l(\"scalegroup\");var p,d=l(\"text\"),m=l(\"texttemplate\");if(m||(p=l(\"textinfo\",i.isArrayOrTypedArray(d)?\"text+percent\":\"percent\")),l(\"hovertext\"),l(\"hovertemplate\"),m||p&&\"none\"!==p){var g=l(\"textposition\");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&l(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&l(\"insidetextorientation\")}else\"none\"===p&&l(\"textposition\",\"none\");o(e,n,l);var y=l(\"hole\");if(l(\"title.text\")){var v=l(\"title.position\",y?\"middle center\":\"top center\");y||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(l,\"title.font\",n.font)}l(\"sort\"),l(\"direction\"),l(\"rotation\"),l(\"pull\")}else e.visible=!1}}},50568:function(t,e,r){\"use strict\";var n=r(36040).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},75067:function(t,e,r){\"use strict\";var n=r(62203),i=r(78766);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},37252:function(t,e,r){\"use strict\";var n=r(34809);function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r<e.length;r++){var i=t[e[r]];if(i||0===i||\"\"===i)return i}},e.castOption=function(t,r){return n.isArrayOrTypedArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},49913:function(t,e,r){\"use strict\";t.exports={attributes:r(55412),supplyDefaults:r(46979).supplyDefaults,supplyLayoutDefaults:r(13464),layoutAttributes:r(4031),calc:r(44148).calc,crossTraceCalc:r(44148).crossTraceCalc,plot:r(35734).plot,style:r(140),styleOne:r(32891),moduleType:\"trace\",name:\"pie\",basePlotModule:r(96052),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},4031:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},13464:function(t,e,r){\"use strict\";var n=r(34809),i=r(4031);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},35734:function(t,e,r){\"use strict\";var n=r(45568),i=r(44122),a=r(32141),o=r(78766),s=r(62203),l=r(34809),c=l.strScale,u=l.strTranslate,h=r(30635),f=r(84102),p=f.recordMinTextSize,d=f.clearMinTextSize,m=r(56155).TEXTPAD,g=r(37252),y=r(50568),v=r(34809).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u=\"funnelarea\"===c.type;\"_hasHoverLabel\"in c||(c._hasHoverLabel=!1),\"_hasHoverEvent\"in c||(c._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,h=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var f=h.hoverinfo;if(Array.isArray(f)&&(f=a.castHoverinfo({hoverinfo:[g.castOption(f,t.pts)],_module:c._module},r,0)),\"all\"===f&&(f=\"label+text+value+percent+name\"),h.hovertemplate||\"none\"!==f&&\"skip\"!==f&&f){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),m=s+t.pxmid[1]*(1-p),v=r.separators,x=[];if(f&&-1!==f.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(h.hovertext||h.text,t.pts),f&&-1!==f.indexOf(\"text\")){var _=t.text;l.isValidTextValue(_)&&x.push(_)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,v),f&&-1!==f.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,v),f&&-1!==f.indexOf(\"percent\")&&x.push(t.percentLabel);var b=h.hoverlabel,w=b.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:m,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:m-p*i.r,_y1:u?s+t.BL[1]:m+p*i.r,text:x.join(\"<br>\"),name:h.hovertemplate||-1!==f.indexOf(\"name\")?h.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(b.bgcolor,t.pts)||t.color,borderColor:g.castOption(b.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(b.namelength,t.pts),textAlign:g.castOption(b.align,t.pts),hovertemplate:g.castOption(h.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,h)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,h)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function _(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,s=g.castOption(t.insidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,l=g.castOption(t.insidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,c=g.castOption(t.insidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant,u=g.castOption(t.insidetextfont.textcase,e.pts)||g.castOption(t.textfont.textcase,e.pts)||r.textcase,h=g.castOption(t.insidetextfont.lineposition,e.pts)||g.castOption(t.textfont.lineposition,e.pts)||r.lineposition,f=g.castOption(t.insidetextfont.shadow,e.pts)||g.castOption(t.textfont.shadow,e.pts)||r.shadow;return{color:n||o.contrast(e.color),family:i,size:a,weight:s,style:l,variant:c,textcase:u,lineposition:h,shadow:f}}function b(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(h.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,h=\"horizontal\"===u,f=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,m=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,m.push(a)}};if(h||f){for(g=4;g>=-4;g-=2)y(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),\"tan\")}if(h||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),\"rad\")}}if(s||d||h){var v=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/v,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;m.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a)),(d||f)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,m.push(a));for(var x=0,_=0,b=0;b<m.length;b++){var w=m[b].scale;if(_<w&&(_=w,x=b),!d&&_>=1)break}return m[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*m);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function C(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function L(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=P(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c=t.r/(void 0===(l=t.trace.aspectratio)?1:l),u=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(u+=c,o.x-=(1+i)*c,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?u*=2:-1!==a.title.position.indexOf(\"right\")&&(u+=c,o.x+=(1+i)*c,s.tx-=t.titleBox.width/2),r=u/t.titleBox.width,n=I(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function I(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 P(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function z(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=I(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+P(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=I(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?u=(c=r.r)/i.aspectratio:c=(u=r.r)*i.aspectratio,l=(c*=(1+i.baseratio)/2)*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).trace).scalegroup===s){var h=o*r.vTotal;\"funnelarea\"===i.type&&(h/=(1+i.baseratio)/2,h/=i.aspectratio),r.r=Math.sqrt(h)}}}(t,r)}function O(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},h=u(\"label\"),f=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),m=n.separators;if(s=h?[e.label]:[],f){var y=g.getFirstFilled(i.text,e.pts);v(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,m)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,m)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var _=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),b=g.getFirstFilled(i.text,e.pts);(v(b)||\"\"===b)&&(_.text=b),e.text=l.texttemplateString(x,_,t._fullLayout._d3locale,_,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,f=a._size;d(\"pie\",a),b(e,t),z(e,f);var m=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),m=e[0],y=m.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=O(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=O(a,s),r.midangle=s,n=O(a,s+=l*r.v/2),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var b=[[[],[]],[[],[]]],T=!1;v.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,b[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var c=m.cx,u=m.cy,f=n.select(this),d=f.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),f.call(x,t,e),y.pull){var v=+g.castOption(y.pull,i.pts)||0;v>0&&(c+=v*i.pxmid[0],u+=v*i.pxmid[1])}i.cxFinal=c,i.cyFinal=u;var k=y.hole;if(i.v===m.vTotal){var A=\"M\"+(c+i.px0[0])+\",\"+(u+i.px0[1])+I(i.px0,i.pxmid,!0,1)+I(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(c+k*i.px0[0])+\",\"+(u+k*i.px0[1])+I(i.px0,i.pxmid,!1,k)+I(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=I(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(c+k*i.px1[0])+\",\"+(u+k*i.px1[1])+I(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+c+\",\"+u+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}D(t,i,m);var E=g.castOption(y.textposition,i.pts),L=f.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);L.enter().append(\"g\").classed(\"slicetext\",!0),L.exit().remove(),L.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),f=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,weight:g.castOption(t.outsidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,style:g.castOption(t.outsidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,variant:g.castOption(t.outsidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant,textcase:g.castOption(t.outsidetextfont.textcase,e.pts)||g.castOption(t.textfont.textcase,e.pts)||r.textcase,lineposition:g.castOption(t.outsidetextfont.lineposition,e.pts)||g.castOption(t.textfont.lineposition,e.pts)||r.lineposition,shadow:g.castOption(t.outsidetextfont.shadow,e.pts)||g.castOption(t.textfont.shadow,e.pts)||r.shadow}}(y,i,a.font):_(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,f).call(h.convertToTspans,t);var d,v=s.bBox(r.node());if(\"outside\"===E)d=C(v,i);else if(d=w(v,i,m),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=C(v=s.bBox(r.node()),i)}var b=d.textPosAngle,k=void 0===b?i.pxmid:O(m.r,b);if(d.targetX=c+k[0]*d.rCenter+(d.x||0),d.targetY=u+k[1]*d.rCenter+(d.y||0),R(d,v),d.outside){var A=d.targetY;i.yLabelMin=A-v.height/2,i.yLabelMid=A,i.yLabelMax=A+v.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=f.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function I(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*m.r+\",\"+n*m.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(y.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,y.title.font).call(h.convertToTspans,t),e=\"middle center\"===y.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}}(m):L(m,f),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,c,u,h,f,p,d,m;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var i,u,h,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),m=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-m;if(x*c>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(u=0;u<f.length;u++)(h=f[u])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,h.pts)||0)||((t.pxmid[1]-h.pxmid[1])*c>0?(x=h.cyFinal+o(h.px0[1],h.px1[1])-m-t.labelExtraY)*c>0&&(t.labelExtraY+=x):(y+t.labelExtraY-v)*c>0&&(i=3*s*Math.abs(u-f.indexOf(t)),(p=h.cxFinal+a(h.px0[0],h.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:v,o=n?Math.max:Math.min,c=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(u=t[n][r]).sort(i),h=t[1-n][r],f=h.concat(u),d=[],p=0;p<u.length;p++)void 0!==u[p].yLabelMid&&d.push(u[p]);for(m=!1,p=0;n&&p<h.length;p++)if(void 0!==h[p].yLabelMid){m=h[p];break}for(p=0;p<d.length;p++){var _=p&&d[p-1];m&&!p&&(_=m),x(d[p],_)}}}(b,y),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],h=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(h)?s+=\"l\"+h*t.pxmid[0]/t.pxmid[1]+\",\"+h+\"H\"+(a+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(h-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(v,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=f.w*(M.x[1]-M.x[0]),E=f.h*(M.y[1]-M.y[0]),I=(.5*S-m.r)/f.w,P=(.5*E-m.r)/f.h;i.autoMargin(t,\"pie.\"+y.uid+\".automargin\",{xl:M.x[0]-I,xr:M.x[1]+I,yb:M.y[0]-P,yt:M.y[1]+P,l:Math.max(m.cx-m.r-A.left,0),r:Math.max(A.right-(m.cx+m.r),0),b:Math.max(A.bottom-(m.cy+m.r),0),t:Math.max(m.cy-m.r-A.top,0),pad:5})}}))}));setTimeout((function(){m.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:_,positionTitleOutside:L,prerenderTitles:b,layoutAreas:z,attachFxHandlers:x,computeTransform:R}},140:function(t,e,r){\"use strict\";var n=r(45568),i=r(32891),a=r(84102).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll(\"path.surface\").each((function(e){n.select(this).call(i,e,r,t)}))}))}},32891:function(t,e,r){\"use strict\";var n=r(78766),i=r(37252).castOption,a=r(75067);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,c=i(s.width,e.pts)||0;t.call(a,e,r,o).style(\"stroke-width\",c).call(n.stroke,l)}},36961:function(t,e,r){\"use strict\";var n=r(36640);t.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}},71593:function(t,e,r){\"use strict\";var n=r(99098).gl_pointcloud2d,i=r(34809).isArrayOrTypedArray,a=r(55010),o=r(32919).findExtremes,s=r(11539);function l(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 c=l.prototype;c.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:i(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},c.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},c.updateFast=function(t){var e,r,n,i,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++)i=n[2*l],s=n[2*l+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new Int32Array(e),l=0;l<e;l++)i=c[l],s=u[l],r[l]=l,n[2*l]=i,n[2*l+1]=s,i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var m=a(t.marker.color),g=a(t.marker.border.color),y=t.opacity*t.marker.opacity;m[3]*=y,this.pointcloudOptions.color=m;var v=t.marker.blend;null===v&&(v=c.length<100||u.length<100),this.pointcloudOptions.blend=v,g[3]*=y,this.pointcloudOptions.borderColor=g;var x=t.marker.sizemin,_=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=_,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var b=this.scene.xaxis,w=this.scene.yaxis,T=_/2||.5;t._extremes[b._id]=o(b,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=o(w,[d[1],d[3]],{ppad:T})},c.dispose=function(){this.pointcloud.dispose()},t.exports=function(t,e){var r=new l(t,e.uid);return 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l=0;for(T=0;T<r.sourceLinks.length;T++)l+=r.sourceLinks[T].value;for(T=0;T<r.sourceLinks.length;T++)(e=r.sourceLinks[T]).concentrationOut=e.value/l;var u=0;for(T=0;T<r.targetLinks.length;T++)u+=r.targetLinks[T].value;for(T=0;T<r.targetLinks.length;T++)(e=r.targetLinks[T]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(w=0;w<Math.min(a.node.x.length,a.node.y.length,A.nodes.length);w++)if(a.node.x[w]&&a.node.y[w]){var L=[a.node.x[w]*g,a.node.y[w]*y];A.nodes[w].x0=L[0]-d/2,A.nodes[w].x1=L[0]+d/2;var I=A.nodes[w].y1-A.nodes[w].y0;A.nodes[w].y0=L[1]-I/2,A.nodes[w].y1=L[1]+I/2}\"snap\"===a.arrangement&&function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(w=0;w<n.length;w++){var s=t[n[w].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(x=A.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:u.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 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\"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY+r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\"}(t.link,e);var r=Math.abs((t.link.target.x0-t.link.source.x1)/2);e>r&&(e=r);var n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),c=t.link.y0-t.link.width/2,u=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,f=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+c,d=\"C\"+s+\",\"+c+\" \"+l+\",\"+h+\" \"+a+\",\"+h,m=\"C\"+l+\",\"+f+\" \"+s+\",\"+u+\" \"+n+\",\"+u,g=e>0?\"L\"+(a+e)+\",\"+(h+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+f)+m+\"Z\"}}function S(t,e){var r=c(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=f.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function C(t){t.call(E)}function L(t,e){t.call(C),e.attr(\"d\",M())}function I(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function P(t){return t.link.width>1||t.linkLineWidth>0}function z(t){return p(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function O(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(f.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),f.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\"collide\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\"constrain\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),L(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var 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a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}_.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}t.exports=function(t,e,r,n,i){var o=t._context.staticPlot,s=!1;f.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){s=!0}));var m=t._fullLayout._dragCover,_=r.filter((function(t){return v(t).trace.visible})).map(k.bind(null,n)),b=e.selectAll(\".\"+l.cn.sankey).data(_,g);b.exit().remove(),b.enter().append(\"g\").classed(l.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",o?\"none\":\"auto\").attr(\"transform\",z),b.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;f.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",o?\"none\":\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),b.transition().ease(l.ease).duration(l.duration).attr(\"transform\",z);var C=b.selectAll(\".\"+l.cn.sankeyLinks).data(y,g);C.enter().append(\"g\").classed(l.cn.sankeyLinks,!0).style(\"fill\",\"none\");var L=C.selectAll(\".\"+l.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(A.bind(null,t))}),g);L.enter().append(\"path\").classed(l.cn.sankeyLink,!0).call(O,b,i.linkEvents),L.style(\"stroke\",(function(t){return P(t)?u.tinyRGB(c(t.linkLineColor)):t.tinyColorHue})).style(\"stroke-opacity\",(function(t){return P(t)?u.opacity(t.linkLineColor):t.tinyColorAlpha})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})).style(\"stroke-width\",(function(t){return P(t)?t.linkLineWidth:1})).attr(\"d\",M()),L.style(\"opacity\",(function(){return t._context.staticPlot||s||m?1:0})).transition().ease(l.ease).duration(l.duration).style(\"opacity\",1),L.exit().transition().ease(l.ease).duration(l.duration).style(\"opacity\",0).remove();var 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n=r(65477).hasColorscale,i=r(28379),a=r(64726);t.exports=function(t,e){a.hasLines(e)&&n(e,\"line\")&&i(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),a.hasMarkers(e)&&(n(e,\"marker\")&&i(t,e,{vals:e.marker.color,containerStr:\"marker\",cLetter:\"c\"}),n(e,\"marker.line\")&&i(t,e,{vals:e.marker.line.color,containerStr:\"marker.line\",cLetter:\"c\"}))}},32660:function(t){\"use strict\";t.exports={PTS_LINESONLY:20,minTolerance:.2,toleranceGrowth:10,maxScreensAway:20,eventDataKeys:[]}},75603:function(t,e,r){\"use strict\";var n=r(26544),i=r(24782).setGroupPositions;function a(t,e,r,n,i,a,o){i[n]=!0;var s={i:null,gap:!0,s:0};if(s[o]=r,t.splice(e,0,s),e&&r===t[e-1][o]){var l=t[e-1];s.s=l.s,s.i=l.i,s.gap=l.gap}else a&&(s.s=function(t,e,r,n){var i=t[e-1],a=t[e+1];return a?i?i.s+(a.s-i.s)*(r-i[n])/(a[n]-i[n]):a.s:i.s}(t,e,r,o));e||(t[0].t=t[1].t,t[0].trace=t[1].trace,delete t[1].t,delete 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r.yLabel=c[1].toFixed(3),r}},59420:function(t,e,r){\"use strict\";var n=r(37255),i=r(34809).fillText;t.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,h=c-u;return s.x0=Math.max(Math.min(s.x0,h),u),s.x1=Math.max(Math.min(s.x1,h),u),o}var f=s.cd[s.index];s.a=f.a,s.b=f.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,m=p._module.formatLabels(f,p);s.yLabel=m.yLabel,delete s.text;var g=[];if(!p.hovertemplate){var y=(f.hi||p.hoverinfo).split(\"+\");-1!==y.indexOf(\"all\")&&(y=[\"a\",\"b\",\"text\"]),-1!==y.indexOf(\"a\")&&v(d.aaxis,f.a),-1!==y.indexOf(\"b\")&&v(d.baxis,f.b),g.push(\"y: \"+s.yLabel),-1!==y.indexOf(\"text\")&&i(f,p,g),s.extraText=g.join(\"<br>\")}return o}function v(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,g.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},56534:function(t,e,r){\"use 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n=r(3208).rb,i=r(3208).ay,a=r(19326),o=r(36640),s=r(9829),l=r(87163),c=r(94850).T,u=r(93049).extendFlat,h=r(13582).overrideAll,f=o.marker,p=o.line,d=f.line;t.exports=h({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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i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=x(t,i)}return n}function k(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var A=m.SYMBOL_SDF_SIZE,M=m.SYMBOL_SIZE,S=m.SYMBOL_STROKE,E={},C=c.symbolFuncs[0](.05*M);function L(t,e){var r,n,a=t.mx;if(\"circle\"===a)return null;var o=c.symbolNumber(a),s=c.symbolFuncs[o%100],l=!!c.symbolNoDot[o%100],u=!!c.symbolNoFill[o%100],h=d.isDotSymbol(a);if(t.ma&&(a+=\"_\"+t.ma),E[a])return E[a];var f=c.getMarkerAngle(t,e);return r=h&&!l?s(1.1*M,f)+C:s(M,f),n=i(r,{w:A,h:A,viewBox:[-M,-M,M,M],stroke:u?S:-S}),E[a]=n,n||null}t.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return n;if(f.hasText(e)&&(n.text=x(t,e),n.textSel=T(t,e,e.selected),n.textUnsel=T(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=b(0,e),n.markerSel=w(0,e,e.selected),n.markerUnsel=w(0,e,e.unselected),!e.unselected&&l(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=g*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(m.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=k(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=k(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:b,markerSelection:w,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var c=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){c=!0;break}var u=c||n.length>m.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=u.getFromId(t,e.xaxis,\"x\"),c=u.getFromId(t,e.yaxis,\"y\"),h=r.length/2,f={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),c={x:0,y:1}[a],u={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*h),d=1/0,m=-1/0,g=0,y=0;g<h;g++,y+=4){var v=t[g];if(n(v)){var x=r[2*g+c],_=l(v,g),b=_[0],w=_[1];if(n(b)&&n(w)){var T=v-b,k=v+w;p[y+u[0]]=x-i.c2l(T),p[y+u[1]]=i.c2l(k)-x,p[y+u[2]]=0,p[y+u[3]]=0,d=Math.min(d,v-b),m=Math.max(m,v+w)}}}f[a]={positions:r,errors:p,_bnds:[d,m]}}}return p(i,l),p(a,c),f},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,c=r.align,u=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var h=n.sizes?n.sizes[i]:n.size,p=l(s)?s[i].size:s.size,d=l(c)?c.length>1?c[i]:c[0]:c,m=l(u)?u.length>1?u[i]:u[0]:u,g=y[d],v=y[m],x=h?h/.8+1:0,_=-v*x-.5*v;o.offset[i]=[g*x/p,_/p]}}return o}}},86590:function(t,e,r){\"use strict\";var n=r(34809),i=r(33626),a=r(4075),o=r(92089),s=r(32660),l=r(64726),c=r(99867),u=r(99669),h=r(24272),f=r(98168),p=r(54114),d=r(663);t.exports=function(t,e,r,m){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),v=l.isBubble(t),x=c(t,e,m,g);if(x){u(t,e,m,g),g(\"xhoverformat\"),g(\"yhoverformat\");var _=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",_),l.hasMarkers(e)&&(h(t,e,r,m,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||v?1:0)),l.hasLines(e)&&(g(\"connectgaps\"),f(t,e,r,m,g),g(\"line.shape\")),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,m,g,{noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0}));var b=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,b||w||r,{axis:\"y\"}),T(t,e,b||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},85686:function(t,e,r){\"use strict\";var n=r(34809),i=r(78766),a=r(20438).DESELECTDIM;t.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]||{},m=c.textUnselectedOptions[u]||{},g=n.extendFlat({},p);if(h.length||f.length){var y=d.color,v=m.color,x=p.color,_=n.isArrayOrTypedArray(x);for(g.color=new Array(s._length),e=0;e<h.length;e++)r=h[e],g.color[r]=y||(_?x[r]:x);for(e=0;e<f.length;e++){r=f[e];var b=_?x[r]:x;g.color[r]=v||(y?b:i.addOpacity(b,a))}}c.glText[u].update(g)}}},99185:function(t,e,r){\"use strict\";var n=r(15294);t.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},4075:function(t,e,r){\"use strict\";var n=r(29483);e.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},36544:function(t,e,r){\"use strict\";var n=r(33626),i=r(34809),a=r(11539);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=i.isArrayOrTypedArray(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=i.isArrayOrTypedArray(p.size)?p.size[h]:p.size,f.tc=i.isArrayOrTypedArray(p.color)?p.color[h]:p.color,f.tf=Array.isArray(p.family)?p.family[h]:p.family,f.tw=Array.isArray(p.weight)?p.weight[h]:p.weight,f.ty=Array.isArray(p.style)?p.style[h]:p.style,f.tv=Array.isArray(p.variant)?p.variant[h]:p.variant);var d=o.marker;d&&(f.ms=i.isArrayOrTypedArray(d.size)?d.size[h]:d.size,f.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[h]:d.opacity,f.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[h]:d.symbol,f.ma=i.isArrayOrTypedArray(d.angle)?d.angle[h]:d.angle,f.mc=i.isArrayOrTypedArray(d.color)?d.color[h]:d.color);var m=d&&d.line;m&&(f.mlc=Array.isArray(m.color)?m.color[h]:m.color,f.mlw=i.isArrayOrTypedArray(m.width)?m.width[h]:m.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(f.mgt=Array.isArray(g.type)?g.type[h]:g.type,f.mgc=Array.isArray(g.color)?g.color[h]:g.color);var y=s.c2p(f.x,!0),v=l.c2p(f.y,!0),x=f.mrc||1,_=o.hoverlabel;_&&(f.hbg=Array.isArray(_.bgcolor)?_.bgcolor[h]:_.bgcolor,f.hbc=Array.isArray(_.bordercolor)?_.bordercolor[h]:_.bordercolor,f.hts=i.isArrayOrTypedArray(_.font.size)?_.font.size[h]:_.font.size,f.htc=Array.isArray(_.font.color)?_.font.color[h]:_.font.color,f.htf=Array.isArray(_.font.family)?_.font.family[h]:_.font.family,f.hnl=i.isArrayOrTypedArray(_.namelength)?_.namelength[h]:_.namelength);var b=o.hoverinfo;b&&(f.hi=Array.isArray(b)?b[h]:b);var w=o.hovertemplate;w&&(f.ht=Array.isArray(w)?w[h]:w);var T={};T[t.index]=f;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,f),x0:y-x,x1:y+x,xLabelVal:k?k[h]:f.x,y0:v-x,y1:v+x,yLabelVal:A?A[h]:f.y,cd:T,distance:c,spikeDistance:u,hovertemplate:f.ht});return f.htx?M.text=f.htx:f.tx?M.text=f.tx:o.text&&(M.text=o.text),i.fillText(f,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(f,o,M),M}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,h,f,p,d,m=t.cd,g=m[0].t,y=m[0].trace,v=t.xa,x=t.ya,_=g.x,b=g.y,w=v.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=v.p2c(w-k),M=v.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var C=k;if(\"x\"===n){var L=!!y.xperiodalignment,I=!!y.yperiodalignment;for(u=0;u<i.length;u++){if(l=_[a=i[u]],h=Math.abs(v.c2p(l)-w),L){var P=v.c2p(y._xStarts[a]),z=v.c2p(y._xEnds[a]);h=w>=Math.min(P,z)&&w<=Math.max(P,z)?0:1/0}if(h<C){if(C=h,c=b[a],f=x.c2p(c)-T,I){var O=x.c2p(y._yStarts[a]),D=x.c2p(y._yEnds[a]);f=T>=Math.min(O,D)&&T<=Math.max(O,D)?0:1/0}d=Math.sqrt(h*h+f*f),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=_[a=i[u]],c=b[a],h=v.c2p(l)-w,f=x.c2p(c)-T,(p=Math.sqrt(h*h+f*f))<C&&(C=d=p,s=a);return t.index=s,t.distance=C,t.dxy=d,void 0===s?[t]:[o(t,_,b,y)]},calcHover:o}},52378:function(t,e,r){\"use strict\";var n=r(68258);n.plot=r(47731),t.exports=n},47731:function(t,e,r){\"use strict\";var n=r(62172),i=r(49478),a=r(29978),o=r(74024),s=r(34809),l=r(70414).selectMode,c=r(22459),u=r(64726),h=r(17210),f=r(85686).styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,c=i.r*n,u=i.t*n,h=i.w*n,f=i.h*n;return[s+e.domain[0]*h,l+r.domain[0]*f,a-c-(1-e.domain[1])*h,o-u-(1-r.domain[1])*f]}(t.exports=function(t,e,r){if(r.length){var m,g,y=t._fullLayout,v=e._scene,x=e.xaxis,_=e.yaxis;if(v)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var b=v.count,w=y._glcanvas.data()[0].regl;if(h(t,e,r),v.dirty){if(!v.line2d&&!v.error2d||v.scatter2d||v.fill2d||v.glText||w.clear({}),!0===v.error2d&&(v.error2d=a(w)),!0===v.line2d&&(v.line2d=i(w)),!0===v.scatter2d&&(v.scatter2d=n(w)),!0===v.fill2d&&(v.fill2d=i(w)),!0===v.glText)for(v.glText=new Array(b),m=0;m<b;m++)v.glText[m]=new o(w);if(v.glText){if(b>v.glText.length){var T=b-v.glText.length;for(m=0;m<T;m++)v.glText.push(new o(w))}else if(b<v.glText.length){var k=v.glText.length-b;v.glText.splice(b,k).forEach((function(t){t.destroy()}))}for(m=0;m<b;m++)v.glText[m].update(v.textOptions[m])}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 A=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(A)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var 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=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var m=s._nexttrace;if(m){var g=v.lineOptions[e+1];if(g){var y=g.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],_=y[2*e+1];isNaN(x)||isNaN(_)||p.push(x,_)}t.fill=m.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var b=v.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<b.length;a+=2)(isNaN(b[a])||isNaN(b[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(b),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),v.fill2d.update(v.fillOptions))}var M=y.dragmode,S=l(M),E=y.clickmode.indexOf(\"select\")>-1;for(m=0;m<b;m++){var C=r[m][0],L=C.trace,I=C.t,P=I.index,z=L._length,O=I.x,D=I.y;if(L.selectedpoints||S||E){if(S||(S=!0),L.selectedpoints){var R=v.selectBatch[P]=s.selIndices2selPoints(L),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<z;g++)F[g]||B.push(g);v.unselectBatch[P]=B}var N=I.xpx=new Array(z),j=I.ypx=new Array(z);for(g=0;g<z;g++)N[g]=x.c2p(O[g]),j[g]=_.c2p(D[g])}else I.xpx=I.ypx=null}if(S){if(v.select2d||(v.select2d=n(y._glcanvas.data()[1].regl)),v.scatter2d){var U=new Array(b);for(m=0;m<b;m++)U[m]=v.selectBatch[m].length||v.unselectBatch[m].length?v.markerUnselectedOptions[m]:{};v.scatter2d.update(U)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&f(t)}))}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var V={viewport:d(y,x,_,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(_._rl||_.range)[0],(x._rl||x.range)[1],(_._rl||_.range)[1]]},q=s.repeat(V,v.count);v.fill2d&&v.fill2d.update(q),v.line2d&&v.line2d.update(q),v.error2d&&v.error2d.update(q.concat(q)),v.scatter2d&&v.scatter2d.update(q),v.select2d&&v.select2d.update(q),v.glText&&v.glText.forEach((function(t){t.update(V)}))}else v.init()}}).reglPrecompiled=p},62336:function(t,e,r){\"use strict\";var n=r(34809);t.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,c=r.selectBatch,u=r.unselectBatch,h=0;h<t;h++){if(e&&r.fillOrder[h]&&e.draw(r.fillOrder[h]),a&&r.lineOptions[h]&&a.draw(h),i&&(r.errorXOptions[h]&&i.draw(h),r.errorYOptions[h]&&i.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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r,a=e[0].trace,h=!0===a.visible&&0!==a._length,w=\"none\"!==a.fill,T=u.hasLines(a),k=u.hasMarkers(a),A=u.hasText(a),M=k&&\"circle\"===a.marker.symbol,S=k&&\"circle\"!==a.marker.symbol,E=a.cluster&&a.cluster.enabled,C=g(\"fill\"),L=g(\"line\"),I=g(\"circle\"),P=g(\"symbol\"),z={fill:C,line:L,circle:I,symbol:P};if(!h)return z;if((w||T)&&(r=o.calcTraceToLineCoords(e)),w&&(C.geojson=o.makePolygon(r),C.layout.visibility=\"visible\",i.extendFlat(C.paint,{\"fill-color\":a.fillcolor})),T&&(L.geojson=o.makeLine(r),L.layout.visibility=\"visible\",i.extendFlat(L.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),M){var O=function(t){var e,r,a,o,u=t[0].trace,h=u.marker,f=u.selectedpoints,p=i.isArrayOrTypedArray(h.color),d=i.isArrayOrTypedArray(h.size),m=i.isArrayOrTypedArray(h.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(h):i.identity),d&&(a=c(u)),m&&(o=function(t){return 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k=_[e].properties;y.selectedOpacityFn&&(k.mo=g(y.selectedOpacityFn(k))),y.selectedColorFn&&(k.mcc=y.selectedColorFn(k)),y.selectedSizeFn&&(k.mrc=y.selectedSizeFn(k))}return{geojson:{type:\"FeatureCollection\",features:_},mcc:p||y&&y.selectedColorFn?{type:\"identity\",property:\"mcc\"}:h.color,mrc:d||y&&y.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(v=h.size,v/2),mo:m||y&&y.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:g(h.opacity)}}(e);I.geojson=O.geojson,I.layout.visibility=\"visible\",E&&(I.filter=[\"!\",[\"has\",\"point_count\"]],z.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":_(a.cluster.color,a.cluster.step),\"circle-radius\":_(a.cluster.size,a.cluster.step),\"circle-opacity\":_(a.cluster.opacity,a.cluster.step)}},z.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":b(a),\"text-size\":12}}),i.extendFlat(I.paint,{\"circle-color\":O.mcc,\"circle-radius\":O.mrc,\"circle-opacity\":O.mo})}if(M&&E&&(I.filter=[\"!\",[\"has\",\"point_count\"]]),(S||A)&&(P.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,a=n.marker||{},o=a.symbol,s=a.angle,l=\"circle\"!==o?y(o):v,c=\"auto\"!==s?y(s,!0):v,h=u.hasText(n)?y(n.text):v,f=[],g=0;g<t.length;g++){var _=t[g];if(!x(_.lonlat)){var b,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[g]||\"\":w,k=n._module.formatLabels(_,n,r),A={};p(A,n,_.i);var M=n._meta||{};b=i.texttemplateString(T,k,r._d3locale,A,_,M)}else b=h(g);b&&(b=b.replace(d,\"\").replace(m,\"\\n\")),f.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:_.lonlat},properties:{symbol:l(g),angle:c(g),text:b}})}}return{type:\"FeatureCollection\",features:f}}(e,t),i.extendFlat(P.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),S&&(i.extendFlat(P.layout,{\"icon-size\":a.marker.size/10}),\"angle\"in a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),A)){var D=(a.marker||{}).size,R=f(a.textposition,D);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":R.anchor,\"text-offset\":R.offset,\"text-font\":b(a)}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return z}},57387:function(t,e,r){\"use strict\";var n=r(34809),i=r(64726),a=r(24272),o=r(98168),s=r(663),l=r(54114),c=r(71388),u=r(13624).isSupportedFont;t.exports=function(t,e,r,h){function f(r,i){return n.coerce(t,e,c,r,i)}function p(r,i){return n.coerce2(t,e,c,r,i)}var d=function(t,e,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return e._length=a,a}(0,e,f);if(d){if(f(\"text\"),f(\"texttemplate\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"mode\"),f(\"below\"),i.hasMarkers(e)){a(t,e,r,h,f,{noLine:!0,noAngle:!0}),f(\"marker.allowoverlap\"),f(\"marker.angle\");var m=e.marker;\"circle\"!==m.symbol&&(n.isArrayOrTypedArray(m.size)&&(m.size=m.size[0]),n.isArrayOrTypedArray(m.color)&&(m.color=m.color[0]))}i.hasLines(e)&&(o(t,e,r,h,f,{noDash:!0}),f(\"connectgaps\"));var g=p(\"cluster.maxzoom\"),y=p(\"cluster.step\"),v=p(\"cluster.color\",e.marker&&e.marker.color||r),x=p(\"cluster.size\"),_=p(\"cluster.opacity\");if(f(\"cluster.enabled\",!1!==g||!1!==y||!1!==v||!1!==x||!1!==_)||i.hasText(e)){var b=h.font.family;s(t,e,h,f,{noSelect:!0,noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,font:{family:u(b)?b:\"Open Sans Regular\",weight:h.font.weight,style:h.font.style,size:h.font.size,color:h.font.color}})}f(\"fill\"),\"none\"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)}else e.visible=!1}},58240:function(t){\"use strict\";t.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t}},66762:function(t,e,r){\"use strict\";var n=r(29714);t.exports=function(t,e,r){var i={},a=r[e.subplot]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},67275:function(t,e,r){\"use strict\";var n=r(32141),i=r(34809),a=r(11539),o=i.fillText,s=r(63821).BADNUM,l=r(8814).traceLayerPrefix;function c(t,e,r){if(!t.hovertemplate){var n=(e.hi||t.hoverinfo).split(\"+\"),i=-1!==n.indexOf(\"all\"),a=-1!==n.indexOf(\"lon\"),s=-1!==n.indexOf(\"lat\"),l=e.lonlat,c=[];return i||a&&s?c.push(\"(\"+u(l[1])+\", \"+u(l[0])+\")\"):a?c.push(r.lon+u(l[0])):s&&c.push(r.lat+u(l[1])),(i||-1!==n.indexOf(\"text\"))&&o(e,t,c),c.join(\"<br>\")}function u(t){return t+\"°\"}}t.exports={hoverPoints:function(t,e,r){var o=t.cd,u=o[0].trace,h=t.xa,f=t.ya,p=t.subplot,d=[],m=l+u.uid+\"-circle\",g=u.cluster&&u.cluster.enabled;if(g){var y=p.map.queryRenderedFeatures(null,{layers:[m]});d=y.map((function(t){return t.id}))}var v=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),x=e-v;if(n.getClosest(o,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;if(g&&-1===d.indexOf(t.i+1))return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=p.project([n,a]),l=o.x-h.c2p([x,a]),c=o.y-f.c2p([n,r]),u=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+c*c)-u,1-3/u)}),t),!1!==t.index){var _=o[t.index],b=_.lonlat,w=[i.modHalf(b[0],360)+v,b[1]],T=h.c2p(w),k=f.c2p(w),A=_.mrc||1;t.x0=T-A,t.x1=T+A,t.y0=k-A,t.y1=k+A;var M={};M[u.subplot]={_subplot:p};var S=u._module.formatLabels(_,u,M);return t.lonLabel=S.lonLabel,t.latLabel=S.latLabel,t.color=a(u,_),t.extraText=c(u,_,o[0].t.labels),t.hovertemplate=u.hovertemplate,[t]}},getExtraText:c}},30929:function(t,e,r){\"use 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s(t,e,r,n){this.type=\"scattermap\",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+e+\"-fill\",line:\"source-\"+e+\"-line\",circle:\"source-\"+e+\"-circle\",symbol:\"source-\"+e+\"-symbol\",cluster:\"source-\"+e+\"-circle\",clusterCount:\"source-\"+e+\"-circle\"},this.layerIds={fill:a+e+\"-fill\",line:a+e+\"-line\",circle:a+e+\"-circle\",symbol:a+e+\"-symbol\",cluster:a+e+\"-cluster\",clusterCount:a+e+\"-cluster-count\"},this.below=null}var l=s.prototype;l.addSource=function(t,e,r){var i={type:\"geojson\",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:!0,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i)},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},l.addLayer=function(t,e,r){var n={type:e.type,id:this.layerIds[t],source:this.sourceIds[t],layout:e.layout,paint:e.paint};e.filter&&(n.filter=e.filter);for(var i,a=this.layerIds[t],o=this.subplot.getMapLayers(),s=0;s<o.length;s++)if(o[s].id===a){i=!0;break}i?(this.subplot.setOptions(a,\"setLayoutProperty\",n.layout),\"visible\"===n.layout.visibility&&this.subplot.setOptions(a,\"setPaintProperty\",n.paint)):this.subplot.addLayer(n,r)},l.update=function(t){var e=t[0].trace,r=this.subplot,n=r.map,a=i(r.gd,t),s=r.belowLookup[\"trace-\"+this.uid],l=!(!e.cluster||!e.cluster.enabled),c=!!this.clusterEnabled,u=this;function h(t){c?function(t){for(var e=o.cluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(u.layerIds[i])}t||n.removeSource(u.sourceIds.circle)}(t):function(t){for(var e=o.nonCluster,r=e.length-1;r>=0;r--){var i=e[r];n.removeLayer(u.layerIds[i]),t||n.removeSource(u.sourceIds[i])}}(t)}function f(t){l?function(t){t||u.addSource(\"circle\",a.circle,e.cluster);for(var r=o.cluster,n=0;n<r.length;n++){var 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n=r(3208).rb,i=r(3208).ay,a=r(19326),o=r(6893),s=r(36640),l=r(67514),c=r(9829),u=r(87163),h=r(93049).extendFlat,f=r(13582).overrideAll,p=r(67514),d=o.line,m=o.marker;t.exports=f({lon:o.lon,lat:o.lat,cluster:{enabled:{valType:\"boolean\"},maxzoom:h({},p.layers.maxzoom,{}),step:{valType:\"number\",arrayOk:!0,dflt:-1,min:-1},size:{valType:\"number\",arrayOk:!0,dflt:20,min:0},color:{valType:\"color\",arrayOk:!0},opacity:h({},m.opacity,{dflt:1})},mode:h({},s.mode,{dflt:\"markers\"}),text:h({},s.text,{}),texttemplate:i({editType:\"plot\"},{keys:[\"lat\",\"lon\",\"text\"]}),hovertext:h({},s.hovertext,{}),line:{color:d.color,width:d.width},connectgaps:s.connectgaps,marker:h({symbol:{valType:\"string\",dflt:\"circle\",arrayOk:!0},angle:{valType:\"number\",dflt:\"auto\",arrayOk:!0},allowoverlap:{valType:\"boolean\",dflt:!1},opacity:m.opacity,size:m.size,sizeref:m.sizeref,sizemin:m.sizemin,sizemode:m.sizemode},u(\"marker\")),fill:o.fill,fillcolor:a(),textfont:l.layers.symbol.textfont,textposition:l.layers.symbol.textposition,below:{valType:\"string\"},selected:{marker:s.selected.marker},unselected:{marker:s.unselected.marker},hoverinfo:h({},c.hoverinfo,{flags:[\"lon\",\"lat\",\"text\",\"name\"]}),hovertemplate:n()},\"calc\",\"nested\")},2795:function(t){\"use strict\";var e=[\"Metropolis Black Italic\",\"Metropolis Black\",\"Metropolis Bold Italic\",\"Metropolis Bold\",\"Metropolis Extra Bold Italic\",\"Metropolis Extra Bold\",\"Metropolis Extra Light Italic\",\"Metropolis Extra Light\",\"Metropolis Light Italic\",\"Metropolis Light\",\"Metropolis Medium Italic\",\"Metropolis Medium\",\"Metropolis Regular Italic\",\"Metropolis Regular\",\"Metropolis Semi Bold Italic\",\"Metropolis Semi Bold\",\"Metropolis Thin Italic\",\"Metropolis Thin\",\"Open Sans Bold Italic\",\"Open Sans Bold\",\"Open Sans Extrabold Italic\",\"Open Sans Extrabold\",\"Open Sans Italic\",\"Open Sans Light Italic\",\"Open Sans Light\",\"Open Sans Regular\",\"Open Sans Semibold Italic\",\"Open Sans Semibold\",\"Klokantech Noto Sans Bold\",\"Klokantech Noto Sans CJK Bold\",\"Klokantech Noto Sans CJK Regular\",\"Klokantech Noto Sans Italic\",\"Klokantech Noto Sans Regular\"];t.exports={isSupportedFont:function(t){return-1!==e.indexOf(t)}}},27009:function(t,e,r){\"use 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r,a=e[0].trace,h=!0===a.visible&&0!==a._length,w=\"none\"!==a.fill,T=u.hasLines(a),k=u.hasMarkers(a),A=u.hasText(a),M=k&&\"circle\"===a.marker.symbol,S=k&&\"circle\"!==a.marker.symbol,E=a.cluster&&a.cluster.enabled,C=g(\"fill\"),L=g(\"line\"),I=g(\"circle\"),P=g(\"symbol\"),z={fill:C,line:L,circle:I,symbol:P};if(!h)return z;if((w||T)&&(r=o.calcTraceToLineCoords(e)),w&&(C.geojson=o.makePolygon(r),C.layout.visibility=\"visible\",i.extendFlat(C.paint,{\"fill-color\":a.fillcolor})),T&&(L.geojson=o.makeLine(r),L.layout.visibility=\"visible\",i.extendFlat(L.paint,{\"line-width\":a.line.width,\"line-color\":a.line.color,\"line-opacity\":a.opacity})),M){var O=function(t){var e,r,a,o,u=t[0].trace,h=u.marker,f=u.selectedpoints,p=i.isArrayOrTypedArray(h.color),d=i.isArrayOrTypedArray(h.size),m=i.isArrayOrTypedArray(h.opacity);function g(t){return u.opacity*t}p&&(r=s.hasColorscale(u,\"marker\")?s.makeColorScaleFuncFromTrace(h):i.identity),d&&(a=c(u)),m&&(o=function(t){return g(n(t)?+i.constrain(t,0,1):0)});var y,v,_=[];for(e=0;e<t.length;e++){var b=t[e],w=b.lonlat;if(!x(w)){var T={};r&&(T.mcc=b.mcc=r(b.mc)),a&&(T.mrc=b.mrc=a(b.ms)),o&&(T.mo=o(b.mo)),f&&(T.selected=b.selected||0),_.push({type:\"Feature\",id:e+1,geometry:{type:\"Point\",coordinates:w},properties:T})}}if(f)for(y=l.makeSelectedPointStyleFns(u),e=0;e<_.length;e++){var k=_[e].properties;y.selectedOpacityFn&&(k.mo=g(y.selectedOpacityFn(k))),y.selectedColorFn&&(k.mcc=y.selectedColorFn(k)),y.selectedSizeFn&&(k.mrc=y.selectedSizeFn(k))}return{geojson:{type:\"FeatureCollection\",features:_},mcc:p||y&&y.selectedColorFn?{type:\"identity\",property:\"mcc\"}:h.color,mrc:d||y&&y.selectedSizeFn?{type:\"identity\",property:\"mrc\"}:(v=h.size,v/2),mo:m||y&&y.selectedOpacityFn?{type:\"identity\",property:\"mo\"}:g(h.opacity)}}(e);I.geojson=O.geojson,I.layout.visibility=\"visible\",E&&(I.filter=[\"!\",[\"has\",\"point_count\"]],z.cluster={type:\"circle\",filter:[\"has\",\"point_count\"],layout:{visibility:\"visible\"},paint:{\"circle-color\":_(a.cluster.color,a.cluster.step),\"circle-radius\":_(a.cluster.size,a.cluster.step),\"circle-opacity\":_(a.cluster.opacity,a.cluster.step)}},z.clusterCount={type:\"symbol\",filter:[\"has\",\"point_count\"],paint:{},layout:{\"text-field\":\"{point_count_abbreviated}\",\"text-font\":b(a),\"text-size\":12}}),i.extendFlat(I.paint,{\"circle-color\":O.mcc,\"circle-radius\":O.mrc,\"circle-opacity\":O.mo})}if(M&&E&&(I.filter=[\"!\",[\"has\",\"point_count\"]]),(S||A)&&(P.geojson=function(t,e){for(var r=e._fullLayout,n=t[0].trace,a=n.marker||{},o=a.symbol,s=a.angle,l=\"circle\"!==o?y(o):v,c=\"auto\"!==s?y(s,!0):v,h=u.hasText(n)?y(n.text):v,f=[],g=0;g<t.length;g++){var _=t[g];if(!x(_.lonlat)){var b,w=n.texttemplate;if(w){var T=Array.isArray(w)?w[g]||\"\":w,k=n._module.formatLabels(_,n,r),A={};p(A,n,_.i);var M=n._meta||{};b=i.texttemplateString(T,k,r._d3locale,A,_,M)}else b=h(g);b&&(b=b.replace(d,\"\").replace(m,\"\\n\")),f.push({type:\"Feature\",geometry:{type:\"Point\",coordinates:_.lonlat},properties:{symbol:l(g),angle:c(g),text:b}})}}return{type:\"FeatureCollection\",features:f}}(e,t),i.extendFlat(P.layout,{visibility:\"visible\",\"icon-image\":\"{symbol}-15\",\"text-field\":\"{text}\"}),S&&(i.extendFlat(P.layout,{\"icon-size\":a.marker.size/10}),\"angle\"in a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),A)){var D=(a.marker||{}).size,R=f(a.textposition,D);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":R.anchor,\"text-offset\":R.offset,\"text-font\":b(a)}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return z}},38302:function(t,e,r){\"use strict\";var n=r(34809),i=r(64726),a=r(24272),o=r(98168),s=r(663),l=r(54114),c=r(95833),u=r(2795).isSupportedFont;t.exports=function(t,e,r,h){function f(r,i){return n.coerce(t,e,c,r,i)}function p(r,i){return n.coerce2(t,e,c,r,i)}var d=function(t,e,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return e._length=a,a}(0,e,f);if(d){if(f(\"text\"),f(\"texttemplate\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"mode\"),f(\"below\"),i.hasMarkers(e)){a(t,e,r,h,f,{noLine:!0,noAngle:!0}),f(\"marker.allowoverlap\"),f(\"marker.angle\");var m=e.marker;\"circle\"!==m.symbol&&(n.isArrayOrTypedArray(m.size)&&(m.size=m.size[0]),n.isArrayOrTypedArray(m.color)&&(m.color=m.color[0]))}i.hasLines(e)&&(o(t,e,r,h,f,{noDash:!0}),f(\"connectgaps\"));var g=p(\"cluster.maxzoom\"),y=p(\"cluster.step\"),v=p(\"cluster.color\",e.marker&&e.marker.color||r),x=p(\"cluster.size\"),_=p(\"cluster.opacity\");if(f(\"cluster.enabled\",!1!==g||!1!==y||!1!==v||!1!==x||!1!==_)||i.hasText(e)){var b=h.font.family;s(t,e,h,f,{noSelect:!0,noFontVariant:!0,noFontShadow:!0,noFontLineposition:!0,noFontTextcase:!0,font:{family:u(b)?b:\"Open Sans Regular\",weight:h.font.weight,style:h.font.style,size:h.font.size,color:h.font.color}})}f(\"fill\"),\"none\"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)}else e.visible=!1}},68197:function(t){\"use strict\";t.exports=function(t,e){return t.lon=e.lon,t.lat=e.lat,t}},69009:function(t,e,r){\"use strict\";var n=r(29714);t.exports=function(t,e,r){var i={},a=r[e.subplot]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},18016:function(t,e,r){\"use strict\";var n=r(32141),i=r(34809),a=r(11539),o=i.fillText,s=r(63821).BADNUM,l=r(44245).traceLayerPrefix;function c(t,e,r){if(!t.hovertemplate){var n=(e.hi||t.hoverinfo).split(\"+\"),i=-1!==n.indexOf(\"all\"),a=-1!==n.indexOf(\"lon\"),s=-1!==n.indexOf(\"lat\"),l=e.lonlat,c=[];return i||a&&s?c.push(\"(\"+u(l[1])+\", \"+u(l[0])+\")\"):a?c.push(r.lon+u(l[0])):s&&c.push(r.lat+u(l[1])),(i||-1!==n.indexOf(\"text\"))&&o(e,t,c),c.join(\"<br>\")}function u(t){return t+\"°\"}}t.exports={hoverPoints:function(t,e,r){var o=t.cd,u=o[0].trace,h=t.xa,f=t.ya,p=t.subplot,d=[],m=l+u.uid+\"-circle\",g=u.cluster&&u.cluster.enabled;if(g){var y=p.map.queryRenderedFeatures(null,{layers:[m]});d=y.map((function(t){return t.id}))}var v=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),x=e-v;if(n.getClosest(o,(function(t){var e=t.lonlat;if(e[0]===s)return 1/0;if(g&&-1===d.indexOf(t.i+1))return 1/0;var n=i.modHalf(e[0],360),a=e[1],o=p.project([n,a]),l=o.x-h.c2p([x,a]),c=o.y-f.c2p([n,r]),u=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(l*l+c*c)-u,1-3/u)}),t),!1!==t.index){var _=o[t.index],b=_.lonlat,w=[i.modHalf(b[0],360)+v,b[1]],T=h.c2p(w),k=f.c2p(w),A=_.mrc||1;t.x0=T-A,t.x1=T+A,t.y0=k-A,t.y1=k+A;var M={};M[u.subplot]={_subplot:p};var S=u._module.formatLabels(_,u,M);return t.lonLabel=S.lonLabel,t.latLabel=S.latLabel,t.color=a(u,_),t.extraText=c(u,_,o[0].t.labels),t.hovertemplate=u.hovertemplate,[t]}},getExtraText:c}},83866:function(t,e,r){\"use strict\";[\"*scattermapbox* trace is deprecated!\",\"Please consider switching to the *scattermap* trace type and `map` subplots.\",\"Learn more at: https://plotly.com/javascript/maplibre-migration/\"].join(\" \"),t.exports={attributes:r(95833),supplyDefaults:r(38302),colorbar:r(21146),formatLabels:r(69009),calc:r(75649),plot:r(20691),hoverPoints:r(18016).hoverPoints,eventData:r(68197),selectPoints:r(60784),styleOnSelect:function(t,e){e&&e[0].trace._glTrace.update(e)},moduleType:\"trace\",name:\"scattermapbox\",basePlotModule:r(68192),categories:[\"mapbox\",\"gl\",\"symbols\",\"showLegend\",\"scatter-like\"],meta:{}}},20691:function(t,e,r){\"use strict\";var n=r(34809),i=r(27009),a=r(44245).traceLayerPrefix,o={cluster:[\"cluster\",\"clusterCount\",\"circle\"],nonCluster:[\"fill\",\"line\",\"circle\",\"symbol\"]};function s(t,e,r,n){this.type=\"scattermapbox\",this.subplot=t,this.uid=e,this.clusterEnabled=r,this.isHidden=n,this.sourceIds={fill:\"source-\"+e+\"-fill\",line:\"source-\"+e+\"-line\",circle:\"source-\"+e+\"-circle\",symbol:\"source-\"+e+\"-symbol\",cluster:\"source-\"+e+\"-circle\",clusterCount:\"source-\"+e+\"-circle\"},this.layerIds={fill:a+e+\"-fill\",line:a+e+\"-line\",circle:a+e+\"-circle\",symbol:a+e+\"-symbol\",cluster:a+e+\"-cluster\",clusterCount:a+e+\"-cluster-count\"},this.below=null}var l=s.prototype;l.addSource=function(t,e,r){var i={type:\"geojson\",data:e.geojson};r&&r.enabled&&n.extendFlat(i,{cluster:!0,clusterMaxZoom:r.maxzoom});var a=this.subplot.map.getSource(this.sourceIds[t]);a?a.setData(e.geojson):this.subplot.map.addSource(this.sourceIds[t],i)},l.setSourceData=function(t,e){this.subplot.map.getSource(this.sourceIds[t]).setData(e.geojson)},l.addLayer=function(t,e,r){var 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T=0;T<x.length;T++)e.contains([y[T],v[T]],null,T,t)?(p.push({pointNumber:T,x:x[T],y:_[T]}),i(b,T)):-1!==b.indexOf(T)?i(b,T):w.push(T);var k=c.matrixOptions;return b.length||w.length?c.selectBatch.length||c.unselectBatch.length||c.matrix.update(c.unselectedOptions,n.extendFlat({},k,c.selectedOptions,c.viewOpts)):c.matrix.update(k,null),c.selectBatch=b,c.unselectBatch=w,p}},14774:function(t,e,r){\"use strict\";var n=r(87163),i=r(80712).axisHoverFormat,a=r(3208).rb,o=r(42450),s=r(9829),l=r(93049).extendFlat,c={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(c,n(\"\",{colorAttr:\"u/v/w 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C=function(){v=0,M=[],S=[],E=[]};(!v||v<M.length*S.length*E.length)&&C();var L=function(t){return\"x\"===t?m:\"y\"===t?g:y},I=function(t){return\"x\"===t?M:\"y\"===t?S:E},P=function(t){return t[v-1]<t[0]?-1:1},z=L(A[1]),O=L(A[3]),D=L(A[5]),R=I(A[1]).length,F=I(A[3]).length,B=I(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=P(L(A[1])),V=P(L(A[3])),q=P(L(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var H=j(e,r,i),G=j(e,r,i+1),Z=j(e,r+1,i),W=j(e+1,r,i);if(z[H]*U<z[G]*U&&O[H]*V<O[Z]*V&&D[H]*q<D[W]*q||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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y=n[u];r.xMax=Math.max(r.xMax,y),r.xMin=Math.min(r.xMin,y);var v=o[u];r.yMax=Math.max(r.yMax,v),r.yMin=Math.min(r.yMin,v);var x=l[u];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=c,e._normMax=h,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},49280:function(t,e,r){\"use strict\";var n=r(99098).gl_streamtube3d,i=n.createTubeMesh,a=r(34809),o=r(46998).parseColorScale,s=r(88856).extractOpts,l=r(88239),c={xaxis:0,yaxis:1,zaxis:2};function u(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var h=u.prototype;function f(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,u=e._len,h={};function d(t,e){var n=r[e],o=i[c[e]];return a.simpleMap(t,(function(t){return 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P.lightPosition=[O.x,O.y,O.z],P.ambient=e.lighting.ambient,P.diffuse=e.lighting.diffuse,P.specular=e.lighting.specular,P.roughness=e.lighting.roughness,P.fresnel=e.lighting.fresnel,P.opacity=e.opacity,e._pad=P.tubeScale*e.sizeref*2,P}h.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var i=e[n],a=r[c[n]];return i.l2c(t)/a}if(t.object===this.mesh){var i=t.data.position,a=t.data.velocity;return t.traceCoordinate=[n(i[0],\"xaxis\"),n(i[1],\"yaxis\"),n(i[2],\"zaxis\"),n(a[0],\"xaxis\"),n(a[1],\"yaxis\"),n(a[2],\"zaxis\"),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,!0}},h.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},h.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},t.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),a=i(r,n),o=new u(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},52737:function(t,e,r){\"use 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n=r(9829),i=r(3208).rb,a=r(3208).ay,o=r(87163),s=r(13792).u,l=r(55412),c=r(2032),u=r(93049).extendFlat,h=r(94850).k;t.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\"},pattern:h,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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s,l=_.getPtId(t.parent);T.each((function(t){if(_.getPtId(t)===l)return s=t}));var c,u=s.children;u.forEach((function(t,e){if(_.getPtId(t)===r)return c=e}));var h=u.length,f=a(s.x0,s.x1);e={rpx0:z,rpx1:z,x0:f(c/h),x1:f((c+1)/h)}}return a(n,e)}(t);return function(t){return Z(e(t))}})),t.select(\"g.slicetext\").attr(\"opacity\",0)})).remove():T.exit().remove(),T.order();var X=null;if(b&&R){var $=_.getPtId(R);T.each((function(t){null===X&&_.getPtId(t)===$&&(X=t.x1)}))}var J=T;function K(t){var e=t.parent,r=F[_.getPtId(e)],n={};if(r){var i=e.children,o=i.indexOf(t),s=i.length,l=a(r.x0,r.x1);n.x0=l(o/s),n.x1=l(o/s)}else n.x0=n.x1=0;return n}b&&(J=J.transition().each(\"end\",(function(){var e=n.select(this);_.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),J.each((function(i){var c=n.select(this),h=s.ensureSingle(c,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",f?\"none\":\"all\")}));i.rpx0=H(i.y0),i.rpx1=H(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),b?h.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=F[_.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:z,rpx1:z},s.extendFlat(e,K(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return Z(e(t))}})):h.attr(\"d\",Z),c.call(v,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(_.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),h.call(g,i,A,t);var p=s.ensureSingle(c,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,_.determineTextFont(A,i,y.font));w.text(e.formatSliceLabel(i,S,A,r,y)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,T).call(l.convertToTspans,t);var M=o.bBox(w.node());i.transform=m(M,i,k),i.transform.targetX=W(i),i.transform.targetY=Y(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,u(A.type,r,y),s.getTextTransform(r)};b?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[_.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(X){var i=t.x1>X?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,K(t));else e.x0=e.x1=V;else e.x0=e.x1=V;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),c=a(e.x0,t.x0),h=a(e.x1,t.x1),f=a(e.transform.scale,n.scale),p=a(e.transform.rotate,n.rotate),d=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,m=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=c(t),i=h(t),a=function(t){return m(Math.pow(t,d))}(t),s={pxmid:G(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return u(A.type,n,y),{transform:{targetX:W(s),targetY:Y(s),scale:f(t),rotate:p(t),rCenter:a}}}}(t);return function(t){return E(e(t),M)}})):w.attr(\"transform\",E(i,M))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}e.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,c=!r,u=!s.uniformtext.mode&&_.hasTransition(r);h(\"sunburst\",s),(a=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),a.order(),u?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){b(t,e,this,r)}))}))):(a.each((function(e){b(t,e,this,r)})),s.uniformtext.mode&&y(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\")),c&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,c=n[0],u=t.data.data,h=c.hierarchy,f=_.isHierarchyRoot(t),p=_.getParent(h,t),d=_.getValue(t);if(!a){var m,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},v=[];if(y(\"label\")&&u.label&&v.push(u.label),u.hasOwnProperty(\"v\")&&y(\"value\")&&v.push(_.formatValue(u.v,l)),!f){y(\"current path\")&&v.push(_.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var b=x>1;if(x){var w,T=function(t){m=_.formatPercent(w,l),b&&(m+=\" of \"+t),v.push(m)};y(\"percent parent\")&&!f&&(w=d/_.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/_.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/_.getValue(h),T(\"root\"))}}return y(\"text\")&&(m=s.castOption(r,u.i,\"text\"),s.isValidTextValue(m)&&v.push(m)),v.join(\"<br>\")}var k=s.castOption(r,u.i,\"texttemplate\");if(!k)return\"\";var A={};u.label&&(A.label=u.label),u.hasOwnProperty(\"v\")&&(A.value=u.v,A.valueLabel=_.formatValue(u.v,l)),A.currentPath=_.getPath(t.data),f||(A.percentParent=d/_.getValue(p),A.percentParentLabel=_.formatPercent(A.percentParent,l),A.parent=_.getPtLabel(p)),A.percentEntry=d/_.getValue(e),A.percentEntryLabel=_.formatPercent(A.percentEntry,l),A.entry=_.getPtLabel(e),A.percentRoot=d/_.getValue(h),A.percentRootLabel=_.formatPercent(A.percentRoot,l),A.root=_.getPtLabel(h),u.hasOwnProperty(\"color\")&&(A.color=u.color);var M=s.castOption(r,u.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},98972:function(t,e,r){\"use strict\";var n=r(45568),i=r(78766),a=r(34809),o=r(84102).resizeText,s=r(72043);function l(t,e,r,n){var o=e.data.data,l=!e.children,c=o.i,u=a.castOption(r,c,\"marker.line.color\")||i.defaultLine,h=a.castOption(r,c,\"marker.line.width\")||0;t.call(s,e,r,n).style(\"stroke-width\",h).call(i.stroke,u).style(\"opacity\",l?r.leaf.opacity:null)}t.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(e){var r=n.select(this),i=e[0].trace;r.style(\"opacity\",i.opacity),r.selectAll(\"path.surface\").each((function(e){n.select(this).call(l,e,i,t)}))}))},styleOne:l}},16131:function(t,e,r){\"use strict\";var n=r(78766),i=r(87163),a=r(80712).axisHoverFormat,o=r(3208).rb,s=r(9829),l=r(93049).extendFlat,c=r(13582).overrideAll;function u(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var h=t.exports=c(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or 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n=r(28379);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},27159:function(t,e,r){\"use strict\";var n=r(99098).gl_surface3d,i=r(99098).ndarray,a=r(99098).ndarray_linear_interpolate.d2,o=r(69295),s=r(78106),l=r(34809).isArrayOrTypedArray,c=r(46998).parseColorScale,u=r(55010),h=r(88856).extractOpts;function f(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=f.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return l(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function 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32-Math.clz32(t)}:a.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},a.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},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return 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this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],h=8191&u,f=u>>>13,p=0|o[1],d=8191&p,m=p>>>13,g=0|o[2],y=8191&g,v=g>>>13,x=0|o[3],_=8191&x,b=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],C=8191&E,L=E>>>13,I=0|o[7],P=8191&I,z=I>>>13,O=0|o[8],D=8191&O,R=O>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,q=0|s[1],H=8191&q,G=q>>>13,Z=0|s[2],W=8191&Z,Y=Z>>>13,X=0|s[3],$=8191&X,J=X>>>13,K=0|s[4],Q=8191&K,tt=K>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ht=8191&ut,ft=ut>>>13,pt=0|s[9],dt=8191&pt,mt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(c+(n=Math.imul(h,U))|0)+((8191&(i=(i=Math.imul(h,V))+Math.imul(f,U)|0))<<13)|0;c=((a=Math.imul(f,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(m,U)|0,a=Math.imul(m,V);var yt=(c+(n=n+Math.imul(h,H)|0)|0)+((8191&(i=(i=i+Math.imul(h,G)|0)+Math.imul(f,H)|0))<<13)|0;c=((a=a+Math.imul(f,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(v,U)|0,a=Math.imul(v,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0;var vt=(c+(n=n+Math.imul(h,W)|0)|0)+((8191&(i=(i=i+Math.imul(h,Y)|0)+Math.imul(f,W)|0))<<13)|0;c=((a=a+Math.imul(f,Y)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(_,U),i=(i=Math.imul(_,V))+Math.imul(b,U)|0,a=Math.imul(b,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,Y)|0)+Math.imul(m,W)|0,a=a+Math.imul(m,Y)|0;var xt=(c+(n=n+Math.imul(h,$)|0)|0)+((8191&(i=(i=i+Math.imul(h,J)|0)+Math.imul(f,$)|0))<<13)|0;c=((a=a+Math.imul(f,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(_,H)|0,i=(i=i+Math.imul(_,G)|0)+Math.imul(b,H)|0,a=a+Math.imul(b,G)|0,n=n+Math.imul(y,W)|0,i=(i=i+Math.imul(y,Y)|0)+Math.imul(v,W)|0,a=a+Math.imul(v,Y)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(m,$)|0,a=a+Math.imul(m,J)|0;var _t=(c+(n=n+Math.imul(h,Q)|0)|0)+((8191&(i=(i=i+Math.imul(h,tt)|0)+Math.imul(f,Q)|0))<<13)|0;c=((a=a+Math.imul(f,tt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(_,W)|0,i=(i=i+Math.imul(_,Y)|0)+Math.imul(b,W)|0,a=a+Math.imul(b,Y)|0,n=n+Math.imul(y,$)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(v,$)|0,a=a+Math.imul(v,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0;var bt=(c+(n=n+Math.imul(h,rt)|0)|0)+((8191&(i=(i=i+Math.imul(h,nt)|0)+Math.imul(f,rt)|0))<<13)|0;c=((a=a+Math.imul(f,nt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(C,U),i=(i=Math.imul(C,V))+Math.imul(L,U)|0,a=Math.imul(L,V),n=n+Math.imul(M,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,Y)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,Y)|0,n=n+Math.imul(_,$)|0,i=(i=i+Math.imul(_,J)|0)+Math.imul(b,$)|0,a=a+Math.imul(b,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0;var wt=(c+(n=n+Math.imul(h,at)|0)|0)+((8191&(i=(i=i+Math.imul(h,ot)|0)+Math.imul(f,at)|0))<<13)|0;c=((a=a+Math.imul(f,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(P,U),i=(i=Math.imul(P,V))+Math.imul(z,U)|0,a=Math.imul(z,V),n=n+Math.imul(C,H)|0,i=(i=i+Math.imul(C,G)|0)+Math.imul(L,H)|0,a=a+Math.imul(L,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,Y)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,Y)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(_,Q)|0,i=(i=i+Math.imul(_,tt)|0)+Math.imul(b,Q)|0,a=a+Math.imul(b,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0;var Tt=(c+(n=n+Math.imul(h,lt)|0)|0)+((8191&(i=(i=i+Math.imul(h,ct)|0)+Math.imul(f,lt)|0))<<13)|0;c=((a=a+Math.imul(f,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(P,H)|0,i=(i=i+Math.imul(P,G)|0)+Math.imul(z,H)|0,a=a+Math.imul(z,G)|0,n=n+Math.imul(C,W)|0,i=(i=i+Math.imul(C,Y)|0)+Math.imul(L,W)|0,a=a+Math.imul(L,Y)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(_,rt)|0,i=(i=i+Math.imul(_,nt)|0)+Math.imul(b,rt)|0,a=a+Math.imul(b,nt)|0,n=n+Math.imul(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ct)|0;var kt=(c+(n=n+Math.imul(h,ht)|0)|0)+((8191&(i=(i=i+Math.imul(h,ft)|0)+Math.imul(f,ht)|0))<<13)|0;c=((a=a+Math.imul(f,ft)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,H)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(P,W)|0,i=(i=i+Math.imul(P,Y)|0)+Math.imul(z,W)|0,a=a+Math.imul(z,Y)|0,n=n+Math.imul(C,$)|0,i=(i=i+Math.imul(C,J)|0)+Math.imul(L,$)|0,a=a+Math.imul(L,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(_,at)|0,i=(i=i+Math.imul(_,ot)|0)+Math.imul(b,at)|0,a=a+Math.imul(b,ot)|0,n=n+Math.imul(y,lt)|0,i=(i=i+Math.imul(y,ct)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ct)|0,n=n+Math.imul(d,ht)|0,i=(i=i+Math.imul(d,ft)|0)+Math.imul(m,ht)|0,a=a+Math.imul(m,ft)|0;var At=(c+(n=n+Math.imul(h,dt)|0)|0)+((8191&(i=(i=i+Math.imul(h,mt)|0)+Math.imul(f,dt)|0))<<13)|0;c=((a=a+Math.imul(f,mt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,Y)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,Y)|0,n=n+Math.imul(P,$)|0,i=(i=i+Math.imul(P,J)|0)+Math.imul(z,$)|0,a=a+Math.imul(z,J)|0,n=n+Math.imul(C,Q)|0,i=(i=i+Math.imul(C,tt)|0)+Math.imul(L,Q)|0,a=a+Math.imul(L,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(_,lt)|0,i=(i=i+Math.imul(_,ct)|0)+Math.imul(b,lt)|0,a=a+Math.imul(b,ct)|0,n=n+Math.imul(y,ht)|0,i=(i=i+Math.imul(y,ft)|0)+Math.imul(v,ht)|0,a=a+Math.imul(v,ft)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,mt)|0)+Math.imul(m,dt)|0))<<13)|0;c=((a=a+Math.imul(m,mt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,Y))+Math.imul(N,W)|0,a=Math.imul(N,Y),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,J)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(P,Q)|0,i=(i=i+Math.imul(P,tt)|0)+Math.imul(z,Q)|0,a=a+Math.imul(z,tt)|0,n=n+Math.imul(C,rt)|0,i=(i=i+Math.imul(C,nt)|0)+Math.imul(L,rt)|0,a=a+Math.imul(L,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(_,ht)|0,i=(i=i+Math.imul(_,ft)|0)+Math.imul(b,ht)|0,a=a+Math.imul(b,ft)|0;var St=(c+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,mt)|0)+Math.imul(v,dt)|0))<<13)|0;c=((a=a+Math.imul(v,mt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,J))+Math.imul(N,$)|0,a=Math.imul(N,J),n=n+Math.imul(D,Q)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(P,rt)|0,i=(i=i+Math.imul(P,nt)|0)+Math.imul(z,rt)|0,a=a+Math.imul(z,nt)|0,n=n+Math.imul(C,at)|0,i=(i=i+Math.imul(C,ot)|0)+Math.imul(L,at)|0,a=a+Math.imul(L,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ht)|0,i=(i=i+Math.imul(T,ft)|0)+Math.imul(k,ht)|0,a=a+Math.imul(k,ft)|0;var Et=(c+(n=n+Math.imul(_,dt)|0)|0)+((8191&(i=(i=i+Math.imul(_,mt)|0)+Math.imul(b,dt)|0))<<13)|0;c=((a=a+Math.imul(b,mt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(P,at)|0,i=(i=i+Math.imul(P,ot)|0)+Math.imul(z,at)|0,a=a+Math.imul(z,ot)|0,n=n+Math.imul(C,lt)|0,i=(i=i+Math.imul(C,ct)|0)+Math.imul(L,lt)|0,a=a+Math.imul(L,ct)|0,n=n+Math.imul(M,ht)|0,i=(i=i+Math.imul(M,ft)|0)+Math.imul(S,ht)|0,a=a+Math.imul(S,ft)|0;var Ct=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,mt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,mt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(P,lt)|0,i=(i=i+Math.imul(P,ct)|0)+Math.imul(z,lt)|0,a=a+Math.imul(z,ct)|0,n=n+Math.imul(C,ht)|0,i=(i=i+Math.imul(C,ft)|0)+Math.imul(L,ht)|0,a=a+Math.imul(L,ft)|0;var Lt=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,mt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,mt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(P,ht)|0,i=(i=i+Math.imul(P,ft)|0)+Math.imul(z,ht)|0,a=a+Math.imul(z,ft)|0;var It=(c+(n=n+Math.imul(C,dt)|0)|0)+((8191&(i=(i=i+Math.imul(C,mt)|0)+Math.imul(L,dt)|0))<<13)|0;c=((a=a+Math.imul(L,mt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ht)|0,i=(i=i+Math.imul(D,ft)|0)+Math.imul(R,ht)|0,a=a+Math.imul(R,ft)|0;var Pt=(c+(n=n+Math.imul(P,dt)|0)|0)+((8191&(i=(i=i+Math.imul(P,mt)|0)+Math.imul(z,dt)|0))<<13)|0;c=((a=a+Math.imul(z,mt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,ht),i=(i=Math.imul(B,ft))+Math.imul(N,ht)|0,a=Math.imul(N,ft);var zt=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,mt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,mt)|0)+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863;var Ot=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,mt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,mt))+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,l[0]=gt,l[1]=yt,l[2]=vt,l[3]=xt,l[4]=_t,l[5]=bt,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Ct,l[14]=Lt,l[15]=It,l[16]=Pt,l[17]=zt,l[18]=Ot,0!==c&&(l[19]=c,r.length++),r};function m(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,h=(0|t.words[u])*(0|e.words[c]),f=67108863&h;s=67108863&(f=f+s|0),i+=(o=(o=o+(h/67108864|0)|0)+(f>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):m(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var h=l,f=c,p=0;p<o;p++){var d=r[u+p],m=n[u+p],g=r[u+p+o],y=n[u+p+o],v=h*g-f*y;y=h*y+f*g,g=v,r[u+p]=d+g,n[u+p]=m+y,r[u+p+o]=d-g,n[u+p+o]=m-y,p!==s&&(v=l*h-c*f,f=l*f+c*h,h=v)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),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,a,s,l,n,i),this.transform(c,a,u,h,n,i);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,a,n,i),this.conjugate(f,a,n),this.normalize13b(f,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),m(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var h=0|this.words[c];this.words[c]=u<<26-a|h>>>a,u=h&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r||!(this.words[r]&i))},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!=(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var h=l-1;h>=0;h--){var f=67108864*(0|n.words[i.length+h])+(0|n.words[i.length+h-1]);for(f=Math.min(f/o|0,67108863),n._ishlnsubmul(i,f,h);0!==n.negative;)f--,n.negative=0,n._ishlnsubmul(i,1,h),n.isZero()||(n.negative^=1);s&&(s.words[h]=f)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),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;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(h)),i.iushrn(1),o.iushrn(1);for(var d=0,m=1;0==(r.words[0]&m)&&d<26;++d,m<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(h)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var 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(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function v(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){v.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function _(){v.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function b(){v.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){v.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}v.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},v.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},v.prototype.split=function(t,e){t.iushrn(this.n,0,e)},v.prototype.imulK=function(t){return t.imul(this.k)},i(x,v),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(_,v),i(b,v),i(w,v),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new _;else if(\"p192\"===t)e=new b;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var h=this.pow(u,i),f=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var m=p,g=0;0!==m.cmp(s);g++)m=m.redSqr();n(g<d);var y=this.pow(h,new a(1).iushln(d-g-1));f=f.redMul(y),h=y.redSqr(),p=p.redMul(h),d=g}return f},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var h=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==h||0!==o?(o<<=1,o|=h,(4==++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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if(f.right===s){if(!(d=p.left)||0!==d._color){p._color=0,p.right=f.left,f._color=1,f.left=p,l[h-2]=f,l[h-1]=s,i(p),i(f),h>=3&&((m=l[h-3]).right===p?m.right=f:m.left=f);break}f._color=1,p.left=n(1,d),p._color=0,h-=1}else{var d;if(!(d=p.left)||0!==d._color){var m;f.left=s.right,p._color=0,p.right=s.left,s._color=1,s.right=f,s.left=p,l[h-2]=s,l[h-1]=f,i(p),i(f),i(s),h>=3&&((m=l[h-3]).right===p?m.right=s:m.left=s);break}f._color=1,p.left=n(1,d),p._color=0,h-=1}}return l[0]._color=1,new a(o,l[0])},o.forEach=function(t,e,r){if(this.root)switch(arguments.length){case 1:return s(t,this.root);case 2:return l(e,this._compare,t,this.root);case 3:if(this._compare(e,r)>=0)return;return c(e,r,this._compare,t,this.root)}},Object.defineProperty(o,\"begin\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.left;return new u(this,t)}}),Object.defineProperty(o,\"end\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.right;return new u(this,t)}}),o.at=function(t){if(t<0)return new u(this,[]);for(var e=this.root,r=[];;){if(r.push(e),e.left){if(t<e.left._count){e=e.left;continue}t-=e.left._count}if(!t)return new u(this,r);if(t-=1,!e.right)break;if(t>=e.right._count)break;e=e.right}return new u(this,[])},o.ge=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new u(this,n)},o.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new u(this,n)},o.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new u(this,n)},o.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new u(this,n)},o.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new 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e(s._color,s.key,s.value,s.left,o[l+1],s._count);if((s=o[o.length-1]).left&&s.right){var c=o.length;for(s=s.left;s.right;)o.push(s),s=s.right;var u=o[c-1];for(o.push(new e(s._color,u.key,u.value,s.left,s.right,s._count)),o[c-1].key=s.key,o[c-1].value=s.value,l=o.length-2;l>=c;--l)s=o[l],o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);o[c-1].left=o[c]}if(0===(s=o[o.length-1])._color){var h=o[o.length-2];for(h.left===s?h.left=null:h.right===s&&(h.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?f(s,s.left):s.right&&f(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((c=t[l-2]).left===a?c.left=o:c.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((c=t[l-2]).left===a?c.left=s:c.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((c=t[l-2]).left===a?c.left=o:c.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((c=t[l-2]).right===a?c.right=o:c.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return s=(o=a.left=r(o)).right=r(o.right),a.left=s.right,o.right=s.left,s.right=a,s.left=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((c=t[l-2]).right===a?c.right=s:c.left=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.left=n(0,o));a.left=n(0,o);continue}var c;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((c=t[l-2]).right===a?c.right=o:c.left=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(o),p.left===s?p.left=null:p.right=null,new a(this.tree._compare,o[0])},Object.defineProperty(h,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(h,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(h,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),h.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(h,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),h.update=function(t){var r=this._stack;if(0===r.length)throw new Error(\"Can't update empty node!\");var n=new Array(r.length),i=r[r.length-1];n[n.length-1]=new e(i._color,i.key,t,i.left,i.right,i._count);for(var o=r.length-2;o>=0;--o)(i=r[o]).left===r[o+1]?n[o]=new e(i._color,i.key,i.value,n[o+1],i.right,i._count):n[o]=new e(i._color,i.key,i.value,i.left,n[o+1],i._count);return new a(this.tree._compare,n[0])},h.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(h,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},3837:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=new p(t);return r.update(e),r};var n=r(4935),i=r(501),a=r(5304),o=r(6429),s=r(6444),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=ArrayBuffer,u=DataView;function h(t){return Array.isArray(t)||function(t){return c.isView(t)&&!(t instanceof u)}(t)}function f(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\"],this.tickFontWeight=[\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\"],this.labelFontWeight=[\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\"],this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var d=p.prototype;function m(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}d.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?h(a)&&h(a[0]):h(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(h(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if(\"bounds\"in t)for(var p=t.bounds,d=0;d<2;++d)for(var m=0;m<3;++m)p[d][m]!==this.bounds[d][m]&&(f=!0),this.bounds[d][m]=p[d][m];if(\"ticks\"in t)for(r=t.ticks,u=!0,this.autoTicks=!1,d=0;d<3;++d)this.tickSpacing[d]=0;else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(d=0;d<3;++d)r[d].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),l(\"tickFontStyle\")&&(u=!0),l(\"tickFontWeight\")&&(u=!0),l(\"tickFontVariant\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),l(\"labelFontStyle\")&&(g=!0),l(\"labelFontWeight\")&&(g=!0),l(\"labelFontVariant\")&&(g=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\");var y=[{family:this.labelFont[0],style:this.labelFontStyle[0],weight:this.labelFontWeight[0],variant:this.labelFontVariant[0]},{family:this.labelFont[1],style:this.labelFontStyle[1],weight:this.labelFontWeight[1],variant:this.labelFontVariant[1]},{family:this.labelFont[2],style:this.labelFontStyle[2],weight:this.labelFontWeight[2],variant:this.labelFontVariant[2]}],v=[{family:this.tickFont[0],style:this.tickFontStyle[0],weight:this.tickFontWeight[0],variant:this.tickFontVariant[0]},{family:this.tickFont[1],style:this.tickFontStyle[1],weight:this.tickFontWeight[1],variant:this.tickFontVariant[1]},{family:this.tickFont[2],style:this.tickFontStyle[2],weight:this.tickFontWeight[2],variant:this.tickFontVariant[2]}];this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,y,this.ticks,v):this._text=n(this.gl,this.bounds,this.labels,y,this.ticks,v),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var g=[new m,new m,new m];function y(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var h=a,f=s,p=o,d=l;c&1<<u&&(h=s,f=a,p=l,d=o),h[u]=r[0][u],f[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var v=[0,0,0],x={model:l,view:l,projection:l,_ortho:!1};d.isOpaque=function(){return!0},d.isTransparent=function(){return!1},d.drawTransparent=function(t){};var _=[0,0,0],b=[0,0,0],w=[0,0,0];d.draw=function(t){t=t||x;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),u=c.cubeEdges,h=c.axis,p=n[12],d=n[13],m=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*p+i[7]*d+i[11]*m+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=u[A],this.lastCubeProps.axis[A]=h[A];var M=g;for(A=0;A<3;++A)y(g[A],A,this.bounds,u,h);e=this.gl;var S,E,C,L=v;for(A=0;A<3;++A)this.backgroundEnable[A]?L[A]=h[A]:L[A]=0;for(this._background.draw(r,n,i,a,L,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var I=[0,0,0];h[A]>0?I[A]=a[1][A]:I[A]=a[0][A];for(var P=0;P<2;++P){var z=(A+1+P)%3,O=(A+1+(1^P))%3;this.gridEnable[z]&&this._lines.drawGrid(z,O,this.bounds,I,this.gridColor[z],this.gridWidth[z]*this.pixelRatio)}for(P=0;P<2;++P)z=(A+1+P)%3,O=(A+1+(1^P))%3,this.zeroEnable[O]&&Math.min(a[0][O],a[1][O])<=0&&Math.max(a[0][O],a[1][O])>=0&&this._lines.drawZero(z,O,this.bounds,I,this.zeroLineColor[O],this.zeroLineWidth[O]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var D=f(_,M[A].primalMinor),R=f(b,M[A].mirrorMinor),F=this.lineTickLength;for(P=0;P<3;++P){var B=k/r[5*P];D[P]*=F[P]*B,R[P]*=F[P]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,D,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(C=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=f(w,M[A].primalOffset);for(P=0;P<3;++P)this.lineTickEnable[A]&&(q[P]+=k*U[P]*Math.max(this.lineTickLength[P],0)/r[5*P]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,E=1,\"auto\"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),C=[0,0,0],j(A,U,V),P=0;P<3;++P)q[P]+=k*U[P]*this.tickPad[P]/r[5*P];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,C,S)}if(this.labelEnable[A]){for(E=0,C=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),P=0;P<3;++P)q[P]+=k*U[P]*this.labelPad[P]/r[5*P];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],C,S)}}this._text.unbind()},d.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},5304:function(t,e,r){\"use strict\";t.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 m=-1;m<=1;m+=2)h[u]=m,e.push(h[0],h[1],h[2],f[0],f[1],f[2]),s+=1}var g=c;c=u,u=g}var y=n(t,new Float32Array(e)),v=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],v),_=a(t);return _.attributes.position.location=0,_.attributes.normal.location=1,new o(t,y,x,_)};var n=r(2762),i=r(8116),a=r(1879).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},6429:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var v=0,x=0;x<2;++x){u[2]=a[x][2];for(var _=0;_<2;++_){u[1]=a[_][1];for(var b=0;b<2;++b)u[0]=a[b][0],f(l[v],u,s),v+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,C=-1,L=0;L<2;++L){var I=(z=L<<A)+(L<<M)+(1-L<<S),P=z+(1-L<<M)+(L<<S);o(c[z],c[I],c[P],h)<0||(L?E=1:C=1)}if(E<0||C<0)C>E&&(w|=1<<A);else{for(L=0;L<2;++L){I=(z=L<<A)+(L<<M)+(1-L<<S),P=z+(1-L<<M)+(L<<S);var z,O=d([l[z],l[I],l[P],l[z+(1<<M)+(1<<S)]]);L?E=O:C=O}C>E&&(w|=1<<A)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==D&&(F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==D&&N!==F&&(B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N))}var j=m;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1<<A?-1:1;return y};var n=r(8828),i=r(6760),a=r(5202),o=r(3250),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 i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,h=l[0]/l[3]-n,f=l[1]/l[3]-i;o+=Math.abs(c*f-u*h)}return o}var m=[1,1,1],g=[0,0,0],y={cubeEdges:m,axis:g}},501:function(t,e,r){\"use strict\";t.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 m=+r[h][d].x;o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1)}var g=o.length/3|0;s[h]=f,l[h]=g-f,f=o.length/3|0;for(var y=0;y<r[h].length;++y)m=+r[h][y].x,o.push(m,0,1,m,1,1,m,0,-1,m,0,-1,m,1,1,m,1,-1);g=o.length/3|0,c[h]=f,u[h]=g-f}var v=n(t,new Float32Array(o)),x=i(t,[{buffer:v,type:t.FLOAT,size:3,stride:0,offset:0}]),_=a(t);return _.attributes.position.location=0,new p(t,v,x,_,l,s,u,c)};var n=r(2762),i=r(8116),a=r(1879).n,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,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=h(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=f(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,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,i){if(this.tickCount[t]){var a=h(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=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,i,a){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 m=h(l);m[t]=1,this.shader.uniforms.screenAxis=m,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=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=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},1879:function(t,e,r){\"use strict\";var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.n=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * (view * (model * vec4(p, 1.0)));\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\\n\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.Q=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * (view * (model * vec4(nPosition, 1.0)));\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\\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}\"]);e.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},4935:function(t,e,r){\"use strict\";t.exports=function(t,e,r,i,o,l){var c=n(t),h=a(t,[{buffer:c,size:3}]),f=s(t);f.attributes.position.location=0;var p=new u(t,f,c,h);return p.update(e,r,i,o,l),p};var n=r(2762),a=r(8116),o=r(4359),s=r(1879).Q,l=window||i.global||{},c=l.__TEXT_CACHE||{};function u(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}l.__TEXT_CACHE={};var h=u.prototype,f=[0,0];h.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},h.unbind=function(){this.vao.unbind()},h.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=[r.style,r.weight,r.variant,r.family].join(\"_\"),u=c[l];u||(u=c[l]={});var h=u[e];h||(h=u[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r.family,fontStyle:r.style,fontWeight:r.weight,fontVariant:r.variant,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,p=h.positions,d=h.cells,m=0,g=d.length;m<g;++m)for(var y=d[m],v=2;v>=0;--v){var x=p[y[v]];a.push(f*x[0],-f*x[1],t)}}for(var l=[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]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),f[d]=(a.length/3|0)-h[d],l[d]=a.length/3|0;for(var m=0;m<n[d].length;++m)if(n[d][m].text){var g={family:n[d][m].font||i[d].family,style:i[d].fontStyle||i[d].style,weight:i[d].fontWeight||i[d].weight,variant:i[d].fontVariant||i[d].variant};s(n[d][m].x,n[d][m].text,g,n[d][m].fontSize||12,1.25,p)}u[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=u,this.labelOffset=h,this.labelCount=f},h.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},h.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},h.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},6444:function(t,e){\"use strict\";function r(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var h=\"\"+c;h.length<i;)h=\"0\"+h;return u+\".\"+h}return u}e.create=function(t,e){for(var n=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:r(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},5445:function(t,e,r){\"use strict\";t.exports=function(t,e,r,l,h){var f=e.model||c,p=e.view||c,y=e.projection||c,v=e._ortho||!1,x=t.bounds,_=(h=h||a(f,p,y,x,v)).axis;o(u,p,f),o(u,y,u);for(var b=m,w=0;w<3;++w)b[w].lo=1/0,b[w].hi=-1/0,b[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(_[k]<0!=!!w){S[k]=x[w][k];for(var C=0;C<2;++C){S[A]=x[C^w][A];for(var L=0;L<2;++L)S[M]=x[L^C^w][M],E.push(S.slice())}var I=v?5:4;for(C=I;C===I;++C){if(0===E.length)continue t;E=i.positive(E,T[C])}for(C=0;C<E.length;++C){M=E[C];var P=d(g,u,M,r,l);for(L=0;L<3;++L)b[L].lo=Math.min(b[L].lo,M[L]),b[L].hi=Math.max(b[L].hi,M[L]),L!==k&&(b[L].pixelsPerDataUnit=Math.min(b[L].pixelsPerDataUnit,Math.abs(P[L])))}}}}return b};var n=r(5033),i=r(5202),a=r(6429),o=r(6760),s=r(5665),l=r(5352),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,i){for(var a=0;a<3;++a){for(var o=f,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,h=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+h*h)}return t}var m=[new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0),new h(1/0,-1/0,1/0)],g=[0,0,0]},2762:function(t,e,r){\"use strict\";var n=r(1888),i=r(5298),a=r(9618),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var 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}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},6405:function(t,e,r){\"use strict\";var n=r(2931);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,h=1/0,f=-1/0,p=null,d=null,m=[],g=1/0,y=!1,v=\"raw\"===t.coneSizemode,x=0;x<r.length;x++){var _=r[x];s=Math.min(_[0],s),l=Math.max(_[0],l),c=Math.min(_[1],c),u=Math.max(_[1],u),h=Math.min(_[2],h),f=Math.max(_[2],f);var b=i[x];if(n.length(b)>o&&(o=n.length(b)),x&&!v){var w=2*n.distance(p,_)/(n.length(d)+n.length(b));w?(g=Math.min(g,w),y=!1):y=!0}y||(p=_,d=b),m.push(b)}var T=[s,c,h],k=[l,u,f];e&&(e[0]=T,e[1]=k),0===o&&(o=1);var A=1/o;isFinite(g)||(g=1),a.vectorScale=g;var M=t.coneSize||(v?1:.5);t.absoluteConeSize&&(M=t.absoluteConeSize*A),a.coneScale=M,x=0;for(var S=0;x<r.length;x++)for(var E=(_=r[x])[0],C=_[1],L=_[2],I=m[x],P=n.length(I)*A,z=0;z<8;z++){a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.positions.push([E,C,L,S++]),a.vectors.push(I),a.vectors.push(I),a.vectors.push(I),a.vectors.push(I),a.vectors.push(I),a.vectors.push(I),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=r(614);t.exports.createMesh=r(9060),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},9060:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(6760),l=r(7608),c=r(9618),u=r(6729),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function f(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=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 i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],h=[];this.cells=r,this.positions=n,this.vectors=i;var f=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,m=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],m=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),m=Math.max(m,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),m=Math.max(m,y);for(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]],g=0;g<n.length;++g)for(var v=n[g],x=0;x<3;++x)!isNaN(v[x])&&isFinite(v[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],v[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],v[x]));var _=0;t:for(g=0;g<r.length;++g){var b=r[g];if(3===b.length){for(x=0;x<3;++x){v=n[T=b[x]];for(var w=0;w<3;++w)if(isNaN(v[w])||!isFinite(v[w]))continue t}for(x=0;x<3;++x){var T;v=n[T=b[2-x]],a.push(v[0],v[1],v[2],v[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=f;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(m-d),0]:[(v[2]-d)/(m-d),0],l.push(A[0],A[1]),h.push(g)}_+=1}}this.triangleCount=_,this.trianglePositions.update(a),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,i=t.projection||h,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:h.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);for(s(u,c.view,c.model),s(u,c.projection,u),l(u,u),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 m=this.triShader;m.bind(),m.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||h,n=t.view||h,i=t.projection||h,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},t.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=i(t),d=i(t),m=i(t),g=i(t),y=i(t),v=new f(t,h,l,u,p,d,y,m,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return v.update(e),v}},614:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * (view * conePosition);\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},737:function(t){t.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_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\"}},5171:function(t,e,r){var 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worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * (view * worldPosition);\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\"]),o=n([\"precision 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 opacity;\\nvarying vec3 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}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},2260:function(t,e,r){\"use strict\";var n=r(7766);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var c=t.getExtension(\"WEBGL_draw_buffers\");if(!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 i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,c),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var u=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>u||r<0||r>u)throw new 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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 i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a: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,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);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,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var m=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return m._shape[0]},set:function(t){return m.width=t}},1:{get:function(){return m._shape[1]},set:function(t){return m.height=t}}}),this._shapeVector=g,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,m=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=f(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var v=r.getExtension(\"WEBGL_depth_texture\");v?d?t.depth=f(r,i,a,v.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m&&(t.depth=f(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):m&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):m?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){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),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),h(x)}u(r,e)}(this)}var m=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),h(s)),u(n,a)}}Object.defineProperties(m,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),m.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},m.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},2992:function(t,e,r){var n=r(3387).sprintf,i=r(5171),a=r(1848),o=r(1085);t.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),h=t.split(\"\\n\"),f={},p=0;p<h.length;p++){var d=h[p];if(\"\"!==d&&\"\\0\"!==d){var m=parseInt(d.split(\":\")[2]);if(isNaN(m))throw new Error(n(\"Could not parse error: %s\",d));f[m]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if((f[p+3]||f[p+2]||f[p+1])&&(c+=g[p]+\"\\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()}}},2510:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new c(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(2478),i=r(7762),a=r(1888),o=r(9405),s=r(2762),l=r(6768);function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,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 i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var 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(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),f.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.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,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],h=l[2]-l[0],f=l[3]-l[1];t[0]=2*c/h,t[4]=2*u/f,t[6]=2*(a[0]-l[0])/h-1,t[7]=2*(a[1]-l[1])/f-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var m=i.attributes;return this.positionBuffer.bind(),m.position.pointer(),this.weightBuffer.bind(),m.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),m.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),h.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},h.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,h,p,d=t.colorLevels||[0],m=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(c=y[0]=r[0],u=y[1]=o[0],h=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(c=y[0]=r[0]+(r[1]-r[0])/2,u=y[1]=o[0]+(o[1]-o[0])/2,h=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var v=1/(h-c),x=1/(p-u),_=e[0],b=e[1];this.shape=[_,b];var w=(l?(_-1)*(b-1):_*b)*(f.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?_-1:_,C=l?b-1:b,L=0;L<C;++L){var I,P;l?(I=x*(o[L]-u),P=x*(o[L+1]-u)):(I=L<b-1?x*(o[L]-(o[L+1]-o[L])/2-u):x*(o[L]-(o[L]-o[L-1])/2-u),P=L<b-1?x*(o[L]+(o[L+1]-o[L])/2-u):x*(o[L]+(o[L]-o[L-1])/2-u));for(var z=0;z<E;++z){var O,D;l?(O=v*(r[z]-c),D=v*(r[z+1]-c)):(O=z<_-1?v*(r[z]-(r[z+1]-r[z])/2-c):v*(r[z]-(r[z]-r[z-1])/2-c),D=z<_-1?v*(r[z]+(r[z+1]-r[z])/2-c):v*(r[z]+(r[z]-r[z-1])/2-c));for(var R=0;R<f.length;R+=2){var F,B,N,j,U=f[R],V=f[R+1],q=s[l?(L+V)*_+(z+U):L*_+z],H=n.le(d,q);if(H<0)F=m[0],B=m[1],N=m[2],j=m[3];else if(H===g-1)F=m[4*g-4],B=m[4*g-3],N=m[4*g-2],j=m[4*g-1];else{var G=(q-d[H])/(d[H+1]-d[H]),Z=1-G,W=4*H,Y=4*(H+1);F=Z*m[W]+G*m[Y],B=Z*m[W+1]+G*m[Y+1],N=Z*m[W+2]+G*m[Y+2],j=Z*m[W+3]+G*m[Y+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*O+.5*D,k[2*S+1]=.5*I+.5*P,A[2*S]=U,A[2*S+1]=V,M[S]=L*_+z,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},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)}},6768:function(t,e,r){\"use strict\";var n=r(3236);t.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\"])}},7319:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * (view * (model * vec4(p, 1.0)));\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},5714:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=h(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=f(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var m=new y(e,r,o,s,l,d);return m.update(t),m};var n=r(2762),i=r(8116),a=r(7766),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(2478),c=r(9618),u=r(7319),h=u.createShader,f=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function m(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var v=y.prototype;v.isTransparent=function(){return this.hasAlpha},v.isOpaque=function(){return!this.hasAlpha},v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.drawTransparent=v.draw=function(t){if(this.vertexCount){var 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r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),y=0;for(h=0;h<3;++h){if(g[h]<-.001||g[h]>1.0001)return null;y+=g[h]}return Math.abs(y-1)>.001?null:[f,s(t,g),g]}},840:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * (view * (model * vec4(p, 1.0)));\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * (view * (model * vec4(position, 1.0)));\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),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\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:u,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:f,fragment:h,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},7201:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(8406),l=r(6760),c=r(7608),u=r(9618),h=r(6729),f=r(7765),p=r(1888),d=r(840),m=r(7626),g=d.meshShader,y=d.wireShader,v=d.pointShader,x=d.pickShader,_=d.pointPickShader,b=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=f,this.triangleUVs=h,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=m,this.edgeVAO=v,this.edgeCount=0,this.pointPositions=x,this.pointColors=b,this.pointUVs=T,this.pointSizes=k,this.pointIds=_,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,v.vertex,v.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,_.vertex,_.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=f(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var h=c[0];2===c.length&&(h=c[u]);for(var d=n[h][0],m=n[h][1],g=i[h],y=1-g,v=this.positions[d],x=this.positions[m],_=0;_<3;++_)o[s++]=g*v[_]+y*x[_]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=h({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],f=[],p=[],d=[],m=[],g=[],y=[],v=[],x=[],_=[],b=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,C=t.meshColor||[1,1,1,1],L=t.vertexUVs,I=t.vertexIntensity,P=t.cellUVs,z=t.cellIntensity,O=1/0,D=-1/0;if(!L&&!P)if(I)if(t.vertexIntensityBounds)O=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<I.length;++R){var F=I[R];O=Math.min(O,F),D=Math.max(D,F)}else if(z)if(t.cellIntensityBounds)O=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<z.length;++R)F=z[R],O=Math.min(O,F),D=Math.max(D,F);else for(R=0;R<n.length;++R)F=n[R][2],O=Math.min(O,F),D=Math.max(D,F);this.intensity=I||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;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,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]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),Y=S?S[W]:E?E[R]:C,this.opacityscale&&I?a.push(Y[0],Y[1],Y[2],this.opacity*A((I[W]-O)/(D-O),this.opacityscale)):3===Y.length?v.push(Y[0],Y[1],Y[2],this.opacity):(v.push(Y[0],Y[1],Y[2],Y[3]*this.opacity),Y[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],x.push(X[0],X[1]),B?_.push(B[W]):_.push(N),b.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t}for(U=0;U<2;++U)j=n[W=G[U]],p.push(j[0],j[1],j[2]),Y=S?S[W]:E?E[R]:C,this.opacityscale&&I?a.push(Y[0],Y[1],Y[2],this.opacity*A((I[W]-O)/(D-O),this.opacityscale)):3===Y.length?d.push(Y[0],Y[1],Y[2],this.opacity):(d.push(Y[0],Y[1],Y[2],Y[3]*this.opacity),Y[3]<1&&(this.hasAlpha=!0)),X=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],m.push(X[0],X[1]),g.push(R);q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t;for(U=0;U<3;++U){var W,Y,X,$;j=n[W=G[2-U]],i.push(j[0],j[1],j[2]),(Y=S?S[W]:E?E[R]:C)?this.opacityscale&&I?a.push(Y[0],Y[1],Y[2],this.opacity*A((I[W]-O)/(D-O),this.opacityscale)):3===Y.length?a.push(Y[0],Y[1],Y[2],this.opacity):(a.push(Y[0],Y[1],Y[2],Y[3]*this.opacity),Y[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=L?L[W]:I?[(I[W]-O)/(D-O),0]:P?P[R]:z?[(z[R]-O)/(D-O),0]:[(j[2]-O)/(D-O),0],c.push(X[0],X[1]),$=w?w[W]:T[R],l.push($[0],$[1],$[2]),f.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(v),this.pointUVs.update(x),this.pointSizes.update(_),this.pointIds.update(new Uint32Array(b)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(m),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(f))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);for(l(u,s.view,s.model),l(u,s.projection,u),c(u,u),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())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};(s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],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=m(i,[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(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:f[1],index:r[f[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[f[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},t.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,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(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}(t),l=M(t),c=S(t),h=E(t),f=C(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),m=i(t),v=i(t),x=i(t),_=i(t),b=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:_,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),L=i(t),I=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:L,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),P=i(t),z=i(t),O=i(t),D=i(t),R=i(t),F=a(t,[{buffer:P,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:z,type:t.FLOAT,size:4},{buffer:O,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,c,h,f,d,_,m,v,x,b,w,L,k,A,I,P,R,z,O,D,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},8120:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1913:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(2762),i=r(9405),a=r(2478),o=r(3603);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,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,f=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,m=0;m<2;++m){var g=a[m],y=a[m+2]-g,v=.5*(o[m+2]+o[m]),x=o[m+2]-o[m];u[m]=2*y/x,c[m]=2*(g-v)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var _=0;for(m=0;m<2;++m){h[0]=h[1]=0,h[m]=1,r.uniforms.dataAxis=h,r.uniforms.lineWidth=l[m]/(s[m+2]-s[m])*d,r.uniforms.color=f[m];var b=6*n[m].length;p[m]&&b&&i.drawArrays(i.TRIANGLES,_,b),_+=b}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,h=this.ticks,f=s.gl,p=s._tickBounds,d=s.dataBox,m=s.viewBox,g=s.pixelRatio,y=s.screenBox,v=y[2]-y[0],x=y[3]-y[1],_=m[2]-m[0],b=m[3]-m[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=_/v,t[0]*=_/v,e[1]*=b/x,t[1]*=b/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,C=s.tickMarkWidth,L=s.tickMarkColor,I=6*h[0].length,P=Math.min(a.ge(h[0],(d[0]-p[0])/(p[2]-p[0]),l),h[0].length),z=Math.min(a.gt(h[0],(d[2]-p[0])/(p[2]-p[0]),l),h[0].length),O=0+6*P,D=6*Math.max(0,z-P),R=Math.min(a.ge(h[1],(d[1]-p[1])/(p[3]-p[1]),l),h[1].length),F=Math.min(a.gt(h[1],(d[3]-p[1])/(p[3]-p[1]),l),h[1].length),B=I+6*R,N=6*Math.max(0,F-R);i[0]=2*(m[0]-E[1])/v-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[1]*g/v,o[1]=C[1]*g/x,N&&(S.color=L[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,f.drawArrays(f.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/v-1,i[1]=2*(m[1]-E[0])/x-1,o[0]=C[0]*g/v,o[1]=E[0]*g/x,D&&(S.color=L[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,f.drawArrays(f.TRIANGLES,O,D)),i[0]=2*(m[2]+E[3])/v-1,i[1]=(m[3]+m[1])/x-1,o[0]=E[3]*g/v,o[1]=C[3]*g/x,N&&(S.color=L[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,f.drawArrays(f.TRIANGLES,B,N)),i[0]=(m[2]+m[0])/v-1,i[1]=2*(m[3]+E[2])/x-1,o[0]=C[2]*g/v,o[1]=E[2]*g/x,D&&(S.color=L[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,f.drawArrays(f.TRIANGLES,O,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)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],h=0;h<l.length;++h){var d=(l[h].x-c)/(u-c);s.push(d);for(var m=0;m<6;++m)n[i++]=d,n[i++]=f[m],n[i++]=p[m]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},4747:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3603:function(t,e,r){\"use strict\";var n=r(3236),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);t.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},2142:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(2762),i=r(9405),a=r(529),o=r(2478),s=r(3603);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,m=l.prototype;m.drawTicks=(c=[0,0],u=[0,0],h=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,f=e.screenBox,p=e.pixelRatio,d=e.tickEnable,m=e.tickPad,g=e.tickColor,y=e.tickAngle,v=e.labelEnable,x=e.labelPad,_=e.labelColor,b=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(f[2+t]-f[t])-1;var M=2/f[2+(1^t)]-f[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*m[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),v[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=_[t],r.uniforms.angle=b[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*m[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),v[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=h,r.uniforms.screenOffset=u,r.uniforms.color=_[t+2],r.uniforms.angle=b[t+2],a.drawArrays(a.TRIANGLES,w,T))}),m.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),m.bind=(f=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],h=a[o],m=a[o+2]-h,g=i[o],y=i[o+2]-g;p[o]=2*l/u*m/y,f[o]=2*(s-c)/u*m/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=f,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),m.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],h=[-1/0],f=l[o];for(e=0;e<f.length;++e){var p=f[e],d=p.x,m=p.text,g=p.font||\"sans-serif\",y=p.fontStyle||\"normal\",v=p.fontWeight||\"normal\",x=p.fontVariant||\"normal\";i=p.fontSize||12;for(var _=1/(c[o+2]-c[o]),b=c[o],w=m.split(\"\\n\"),T=0;T<w.length;T++)for(n=a(g,w[T],{fontStyle:y,fontWeight:v,fontVariant:x}).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-T*i*1.2,(d-b)*_);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=a(t.labelFont[o],t.labels[o],{fontStyle:t.labelFontStyle[o],fontWeight:t.labelFontWeight[o],fontVariant:t.labelFontVariant[o],textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title,{fontStyle:t.titleFontStyle,fontWeight:t.titleFontWeight,fontVariant:t.titleFontVariant}).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},m.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1850:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(3589),i=r(1913),a=r(2142),o=r(4747),s=r(8120);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,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var 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 m=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(m,e[1],m,e[3],p[d],f[d]):o.drawLine(e[0],m,e[2],m,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 g=this.borderLineEnable,y=this.borderLineWidth,v=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],v[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],v[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],v[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],v[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var h=c[u].pick(a,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,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(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:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],labelFontStyle:t.labelFontStyle||[\"normal\",\"normal\"],labelFontWeight:t.labelFontWeight||[\"normal\",\"normal\"],labelFontVariant:t.labelFontVariant||[\"normal\",\"normal\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\",titleFontStyle:t.titleFontStyle||\"normal\",titleFontWeight:t.titleFontWeight||\"normal\",titleFontVariant:t.titleFontVariant||\"normal\"}),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();for(this.objects.length=0,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}}},4437:function(t,e,r){\"use strict\";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];\"distanceLimits\"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],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,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===f&&t.clientHeight===p;return f=t.clientWidth,p=t.clientHeight,a?!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(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return 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,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,f=!!a.control,p=!!a.alt,m=!!a.shift,g=!!(1&e),y=!!(2&e),v=!!(4&e),x=1/t.clientHeight,_=x*(r-d._lastX),b=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!f&&!p&&!m||g&&!f&&!p&&m)&&c.rotate(A,w*k*_,-T*k*b,0),(l&&g&&!f&&!p&&!m||y||g&&f&&!p&&!m)&&c.pan(A,-d.translateSpeed*_*h,d.translateSpeed*b*h,0),u&&g&&!f&&!p&&!m||v||g&&!f&&p&&!m)){var M=-d.zoomSpeed*b/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,h*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,h*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(3025),i=r(6296),a=r(351),o=r(8512),s=r(24),l=r(7520)},799:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},4100:function(t,e,r){\"use strict\";var n=r(4437),i=r(3837),a=r(5445),o=r(4449),s=r(3589),l=r(2260),c=r(7169),u=r(351),h=r(4772),f=r(4040),p=r(799),d=r(9216)({tablet:!0,featureDetect:!0});function m(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error(\"webgl not supported\");var v=t.bounds||[[-10,-10,-10],[10,10,10]],x=new m,_=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),b=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],C=[],L=[],I=[],P=!0,z=!0,O={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},D=(z=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:v,objects:E,shape:D,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:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:O,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,z=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",P=!0}}}function j(){for(var t=E.length,e=I.length,n=0;n<e;++n)L[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(L[o]+a<255){C[n]=o,i.setPickBase(L[o]+1),L[o]+=a;continue t}var l=s(r,D);C[n]=e,I.push(l),L.push(a),i.setPickBase(1),e+=1}else C[n]=-1}for(;e>0&&0===L[e-1];)L.pop(),I.pop().dispose()}function U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(t=t||{},P=!0,z=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),C.push(-1),P=!0,z=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),C.pop(),P=!0,z=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(_.dispose(),t=0;t<I.length;++t)I[t].dispose();b.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=u(e,(function(t,e,r){if(!F._stopped){var n=I.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(z=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=I[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(C[c]===s){var h=u.pick(l);h&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=h.distance,x.dataPosition=h.position,x.dataCoordinate=h.dataCoordinate,x.data=h,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),P=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),P=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],q=[V[0].slice(),V[1].slice()];function H(){if(!U()){N();var t=F.camera.tick();O.view=F.camera.matrix,P=P||t,z=z||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(L=E[o]).pixelRatio=F.pixelRatio,L.axes=F.axes,P=P||!!L.dirty,z=z||!!L.dirty;var s=L.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var m=.05*(i[p]-n[p]);n[p]=n[p]-m,i[p]=i[p]+m}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||q[0][p]!==d[0][p]||q[1][p]!==d[1][p],q[0][p]=d[0][p],q[1][p]=d[1][p];if(z=z||y,P=P||y){if(y){var v=[0,0,0];for(o=0;o<3;++o)v[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:v}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(D[0]=T,D[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(f(i,-p,p,-1,1,l,c),n._ortho=!0):(h(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var m=0;for(d=0;d<3;++d)m=Math.max(m,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/m,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(L=E[o]).axesBounds=d,F.clipToBounds&&(L.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),z&&(z=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=I.length,n=0;n<e;++n){var i=I[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(C[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(O))}i.end()}}}()),F.axesPixels=a(F.axes,O,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(O)),S.axes=A,x.object&&S.draw(O),r.disable(r.CULL_FACE),o=0;o<e;++o)(L=E[o]).axes=A,L.pixelRatio=F.pixelRatio,L.isOpaque&&L.isOpaque()&&L.draw(O),L.isTransparent&&L.isTransparent()&&(M=!0);if(M){for(_.shape=D,_.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(O),o=0;o<e;++o)(L=E[o]).isOpaque&&L.isOpaque()&&L.draw(O);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(O),o=0;o<e;++o){var L;(L=E[o]).isTransparent&&L.isTransparent()&&L.drawTransparent(O)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),b.bind(),_.color[0].bind(0),b.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}for(P=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(H(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(P=!0,H())},F},createCamera:n}},6640:function(t,e,r){var n=r(3236);e.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}\"]),e.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\"]),e.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\"]),e.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\"])},4696:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(1888),o=r(6640);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var 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,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},783:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],h=e[2],f=e[3],p=r[0],d=r[1],m=r[2],g=r[3];return(a=c*p+u*d+h*m+f*g)<0&&(a=-a,p=-p,d=-d,m=-m,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*h+l*m,t[3]=s*f+l*g,t}},5964:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},9366:function(t,e,r){\"use strict\";var n=r(4359);t.exports=function(t,e,r){var a=[e.style,e.weight,e.variant,e.family].join(\"_\"),o=i[a];if(o||(o=i[a]={}),t in o)return o[t];var s={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e.family,fontStyle:e.style,fontWeight:e.weight,fontVariant:e.variant,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},l=n(t,s);s.triangles=!1;var c,u,h=n(t,s);if(r&&1!==r){for(c=0;c<l.positions.length;++c)for(u=0;u<l.positions[c].length;++u)l.positions[c][u]/=r;for(c=0;c<h.positions.length;++c)for(u=0;u<h.positions[c].length;++u)h.positions[c][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],p=h.positions.length;for(c=0;c<p;++c){var d=h.positions[c];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],d[u]),f[1][u]=Math.max(f[1][u],d[u])}return o[t]=[l,h,f]};var i={}},1283:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * (view * (model * vec4(position, 1)));\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * (view * (model * vec4(dataPosition, 1)));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],h={vertex:a,fragment:l,attributes:u},f={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},m={vertex:o,fragment:c,attributes:u},g={vertex:s,fragment:c,attributes:u};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,h)},e.createOrtho=function(t){return y(t,f)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,m)},e.createPickProject=function(t){return y(t,g)}},8418:function(t,e,r){\"use strict\";var n=r(5219),i=r(2762),a=r(8116),o=r(1888),s=r(6760),l=r(1283),c=r(9366),u=r(5964),h=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],f=ArrayBuffer,p=DataView;function d(t){return Array.isArray(t)||function(t){return f.isView(t)&&!(t instanceof p)}(t)}function m(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function g(t,e,r,n){return m(n,n),m(n,n),m(n,n)}function y(t,e){this.index=t,this.dataCoordinate=this.position=e}function v(t){return!0===t||t>1?1:t}function x(t,e,r,n,i,a,o,s,l,c,u,h){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=h,this.points=[],this._selectResult=new y(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}t.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=i(e),f=i(e),p=i(e),d=i(e),m=new x(e,r,n,o,h,f,p,d,a(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}]),s,c,u);return m.update(t),m};var _=x.prototype;_.pickSlots=1,_.setPickBase=function(t){this.pickId=t},_.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},_.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 b=[0,0],w=[0,0,0],T=[0,0,0],k=[0,0,0,1],A=[0,0,0,1],M=h.slice(),S=[0,0,0],E=[[0,0,0],[0,0,0]];function C(t){return t[0]=t[1]=t[2]=0,t}function L(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function I(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}var P=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function z(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||h,u=r.view||h,f=r.projection||h,p=e.axesBounds,d=function(t){for(var e=E,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],b[0]=2/o.drawingBufferWidth,b[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=f,l.screenSize=b,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=d,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(a[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var y=M,v=0;v<16;++v)y[v]=0;for(v=0;v<4;++v)y[5*v]=1;y[5*m]=0,i[m]<0?y[12+m]=p[0][m]:y[12+m]=p[1][m],s(y,c,y),l.model=y;var x=(m+1)%3,_=(m+2)%3,P=C(w),z=C(T);P[x]=1,z[_]=1;var O=g(0,0,0,L(k,P)),D=g(0,0,0,L(A,z));if(Math.abs(O[1])>Math.abs(D[1])){var R=O;O=D,D=R,R=P,P=z,z=R;var F=x;x=_,_=F}O[0]<0&&(P[x]=-1),D[1]>0&&(z[_]=-1);var B=0,N=0;for(v=0;v<4;++v)B+=Math.pow(c[4*x+v],2),N+=Math.pow(c[4*_+v],2);P[x]/=Math.sqrt(B),z[_]/=Math.sqrt(N),l.axes[0]=P,l.axes[1]=z,l.fragClipBounds[0]=I(S,d[0],m,-1e8),l.fragClipBounds[1]=I(S,d[1],m,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var c=t.uniforms;c.model=n.model||h,c.view=n.view||h,c.projection=n.projection||h,b[0]=2/l.drawingBufferWidth,b[1]=2/l.drawingBufferHeight,c.screenSize=b,c.highlightId=r.highlightId,c.highlightScale=r.highlightScale,c.fragClipBounds=P,c.clipBounds=r.axes.bounds,c.opacity=r.opacity,c.pickGroup=r.pickId/255,c.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function O(t,e,r,i){var a;a=d(t)?e<t.length?t[e]:void 0:t,a=u(a);var 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float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * (view * tubePosition);\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7815:function(t,e,r){\"use strict\";var n=r(2931),i=r(9970),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,c=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=a.indexOf(f.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,l=t[0],c=t[1],u=t[2],h=a[0].length,f=a[1].length,p=a[2].length,d=o(a[0],l),m=o(a[1],c),g=o(a[2],u),y=d+1,v=m+1,x=g+1;if(d=s(d,0,h-1),y=s(y,0,h-1),m=s(m,0,f-1),v=s(v,0,f-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||m<0||g<0||y>h-1||v>f-1||x>p-1)return n.create();var _,b,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][m],C=a[1][v],L=a[2][g],I=(l-M)/(S-M),P=(c-E)/(C-E),z=(u-L)/(a[2][x]-L);switch(isFinite(I)||(I=.5),isFinite(P)||(P=.5),isFinite(z)||(z=.5),r.reversedX&&(d=h-1-d,y=h-1-y),r.reversedY&&(m=f-1-m,v=f-1-v),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=m*p,T=v*p,_=d*p*f,b=y*p*f;break;case 4:k=g,A=x,_=d*p,b=y*p,w=m*p*h,T=v*p*h;break;case 3:w=m,T=v,k=g*f,A=x*f,_=d*f*p,b=y*f*p;break;case 2:w=m,T=v,_=d*f,b=y*f,k=g*f*h,A=x*f*h;break;case 1:_=d,b=y,k=g*h,A=x*h,w=m*h*p,T=v*h*p;break;default:_=d,b=y,w=m*h,T=v*h,k=g*h*f,A=x*h*f}var O=i[_+w+k],D=i[_+w+A],R=i[_+T+k],F=i[_+T+A],B=i[b+w+k],N=i[b+w+A],j=i[b+T+k],U=i[b+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,O,B,I),n.lerp(q,D,N,I),n.lerp(H,R,j,I),n.lerp(G,F,U,I);var Z=n.create(),W=n.create();n.lerp(Z,V,H,P),n.lerp(W,q,G,P);var Y=n.create();return n.lerp(Y,Z,W,z),Y}(e,t,p)},m=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],v=e[0][1],x=e[0][2],_=e[1][0],b=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<y||e>_||r<v||r>b||n<x||n>w)},k=10*n.distance(e[0],e[1])/c,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,c=0;c<s;c++){var u=t[c],h=u[0],f=u[1],p=u[2];i[h]||(e.push(h),i[h]=!0),a[f]||(r.push(f),a[f]=!0),o[p]||(n.push(p),o[p]=!0)}var d=l(e),m=l(r),g=l(n),y=Math.min(d,m,g);return isFinite(y)?y:1}(r));for(var C=0;C<E;C++){var L=n.create();n.copy(L,r[C]);var I=[L],P=[],z=d(L),O=L;P.push(z);var D=[],R=m(L,z),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:I,velocities:P,divergences:D});for(var B=0;B<100*c&&I.length<c&&T(L);){B++;var N=n.clone(z),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,L),z=d(N),n.squaredDistance(O,N)-A>-1e-4*A&&(I.push(N),O=N,P.push(z),R=m(N,z),F=n.length(R),isFinite(F)&&F>S&&(S=F),D.push(F)),L=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],h=[],f=[],p=[],d=[],m=0,g=0,y=i.create(),v=i.create(),x=0;x<o.length;x++){var _=o[x],b=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(b)/a,y=i.create(),n.copy(y,b),y[3]=w;for(var T=0;T<8;T++)p[T]=[_[0],_[1],_[2],T];if(f.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(f[T],p[T],p[k],p[k],f[k],f[T]),h.push(v,y,y,y,v,v),d.push(m,g,g,g,m,m);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=f;f=p,p=M;var S=v;v=y,y=S;var E=m;m=g,g=E}return{positions:c,cells:u,vectors:h,vertexIntensity:d}}(t,r,a,o)})),h=[],f=[],p=[],d=[];for(s=0;s<u.length;s++){var m=u[s],g=h.length;for(h=h.concat(m.positions),p=p.concat(m.vectors),d=d.concat(m.vertexIntensity),c=0;c<m.cells.length;c++){var y=m.cells[c],v=[];f.push(v);for(var x=0;x<y.length;x++)v.push(y[x]+g)}}return{positions:h,cells:f,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return h?U.tubeScale=h:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var c=r(6740),u=r(6405).createMesh;t.exports.createTubeMesh=function(t,e){return u(t,e,{shaders:c,traceType:\"streamtube\"})}},990:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\\n  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(localCoordinate, 1.0);\\n  vec4 clipPosition = projection * (view * worldPosition);\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color — in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  mat4 objectOffsetTranslation = mat4(1.0) + mat4(vec4(0), vec4(0), vec4(0), vec4(objectOffset, 0));\\n  vec4 worldPosition = (model * objectOffsetTranslation) * vec4(dataCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * (view * worldPosition);\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.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},e.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}},9499:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=v(e),n=_(e),s=x(e),l=b(e),c=i(e),u=a(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=i(e),f=a(e,[{buffer:h,size:4,stride:20,offset:0},{buffer:h,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),m=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);m.minFilter=e.LINEAR,m.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,m,s,l,h,f,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(8828),i=r(2762),a=r(8116),o=r(7766),s=r(1888),l=r(6729),c=r(5298),u=r(9994),h=r(9618),f=r(3711),p=r(6760),d=r(7608),m=r(2478),g=r(6199),y=r(990),v=y.createShader,x=y.createContourShader,_=y.createPickShader,b=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[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 M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[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,i,a,o,l,c,u,f,p,d,m,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=f,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=m,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[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 C=E.prototype;C.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:S,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},C.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},C.isOpaque=function(){return!this.isTransparent()},C.pickSlots=1,C.setPickBase=function(t){this.pickId=t};var L=[0,0,0],I={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function P(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||L,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=I.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=I.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return I.showSurface=o,I.showContour=s,I}var z={model:T,view:T,projection:T,inverseModel:T.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},O=T.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||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=D,n.vertexColor=this.vertexColor;var s=O;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=P(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var 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(),i=0;i<3;++i)for(h.uniforms.permutation=A[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(h.uniforms.contourColor=this.highlightColor[i],h.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(h.uniforms.contourColor=this.contourColor[i],h.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(h.uniforms.height=this.contourLevels[i][o],f.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(h.uniforms.model=u.projections[i],h.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){h.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var m=0;m<this.contourLevels[o].length;++m)m===this.highlightLevel[o]?(h.uniforms.contourColor=this.highlightColor[o],h.uniforms.contourTint=this.highlightTint[o]):0!==m&&m-1!==this.highlightLevel[o]||(h.uniforms.contourColor=this.contourColor[o],h.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][m]&&(h.uniforms.height=this.contourLevels[o][m],f.draw(r.LINES,this._contourCounts[o][m],this._contourOffsets[o][m]))}for(f.unbind(),(f=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(h.uniforms.model=n.model,h.uniforms.clipBounds=n.clipBounds,h.uniforms.permutation=A[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),h.uniforms.contourColor=this.dynamicColor[i],h.uniforms.contourTint=this.dynamicTint[i],h.uniforms.height=this.dynamicLevel[i],f.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(h.uniforms.model=u.projections[o],h.uniforms.clipBounds=u.clipBounds[o],f.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));f.unbind()}}C.draw=function(t){return R.call(this,t,!1)},C.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,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()]}}C.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,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 i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=P(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},C.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var h=u?a:1-a,f=0;f<2;++f)for(var p=i+u,d=s+f,g=h*(f?l:1-l),y=0;y<3;++y)c[y]+=this._field[y].get(p,d)*g;for(var v=this._pickResult.level,x=0;x<3;++x)if(v[x]=m.le(this.contourLevels[x],c[x]),v[x]<0)this.contourLevels[x].length>0&&(v[x]=0);else if(v[x]<this.contourLevels[x].length-1){var _=this.contourLevels[x][v[x]],b=this.contourLevels[x][v[x]+1];Math.abs(_-c[x])>Math.abs(b-c[x])&&(v[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},C.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))},C.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=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 a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=h(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(y=0;y<2;++y)if(c.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=h(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=h(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var m=[0,0];m[o]=1,this._field[o]=h(this._field[o].data,[a[0]+2,a[1]+2],m,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var v=this._field,x=h(s.mallocFloat(3*v[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),v[o],\"mirror\");var _=h(s.mallocFloat(3*v[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var b=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,C=M*w-S*b,L=b*A-w*T,I=Math.sqrt(E*E+C*C+L*L);I<1e-8?(I=Math.max(Math.abs(E),Math.abs(C),Math.abs(L)))<1e-8?(L=1,C=E=0,I=1):I=1/I:I=1/Math.sqrt(I),_.set(o,y,0,E*I),_.set(o,y,1,C*I),_.set(o,y,2,L*I)}s.free(x.data);var P=[1/0,1/0,1/0],z=[-1/0,-1/0,-1/0],O=1/0,D=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+y+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var Z=o+k[H][0],W=y+k[H][1],Y=this._field[0].get(Z+1,W+1),X=this._field[1].get(Z+1,W+1);G=this._field[2].get(Z+1,W+1),E=_.get(Z+1,W+1,0),C=_.get(Z+1,W+1,1),L=_.get(Z+1,W+1,2),t.intensity&&($=t.intensity.get(Z,W));var $=t.intensity?t.intensity.get(Z,W):G+this.objectOffset[2];F[N++]=Z,F[N++]=W,F[N++]=Y,F[N++]=X,F[N++]=G,F[N++]=0,F[N++]=$,F[N++]=E,F[N++]=C,F[N++]=L,P[0]=Math.min(P[0],Y+this.objectOffset[0]),P[1]=Math.min(P[1],X+this.objectOffset[1]),P[2]=Math.min(P[2],G+this.objectOffset[2]),O=Math.min(O,$),z[0]=Math.max(z[0],Y+this.objectOffset[0]),z[1]=Math.max(z[1],X+this.objectOffset[1]),z[2]=Math.max(z[2],G+this.objectOffset[2]),D=Math.max(D,$),U+=1}}for(t.intensityBounds&&(O=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-O)/(D-O);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(_.data),this.bounds=[P,z],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===O&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[O,D]}if(\"levels\"in t){var J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;o<3;++o)J[o]=J[o].slice(),J[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<J[o].length;++y)J[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<J[o].length;++y)if(J[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=J}if(r){v=this._field,a=this.shape;for(var K=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=f(this._field[Q],tt[o]);et.push(K.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ht=0|Math.floor(ut),ft=ut-ht,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var mt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ct:1-ct;for(Z=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var yt=q?ft:1-ft;if(W=0|Math.min(Math.max(ht+q,0),a[1]),G=dt<2?this._field[mt].get(Z,W):(this.intensity.get(Z,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var vt=gt*yt;nt[dt]+=vt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)K.pop();U-=1}continue t}K.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var _t=s.mallocFloat(K.length);for(o=0;o<K.length;++o)_t[o]=K[o];this._contourBuffer.update(_t),s.freeFloat(_t)}},C.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)},C.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],h=this._field[l],p=this._field[c],d=f(u,r[o]),m=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<m.length;++e)for(var y=m[e],v=0;v<2;++v){var x=g[y[v]],_=+x[0],b=0|_,w=0|Math.min(b+1,i[0]),T=_-b,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,C=1-E,L=k*C,I=k*E,P=T*C,z=T*E,O=L*h.get(b,M)+I*h.get(b,S)+P*h.get(w,M)+z*h.get(w,S),D=L*p.get(b,M)+I*p.get(b,S)+P*p.get(w,M)+z*p.get(w,S);if(isNaN(O)||isNaN(D)){v&&(n-=1);break}a[2*n+0]=O,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},7766:function(t,e,r){\"use strict\";var n=r(9618),i=r(5298),a=r(1888);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),\"number\"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(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,i,a){var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new f(t,o,r,n,i,a)}(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,g=0;if(2===o.length)g=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])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)h=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var v=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,v,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):u(x,e),h=p.subarray(0,y)}var _=m(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,c,h),l||a.free(p),new f(t,_,o[0],o[1],g,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){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function f(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var 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 m(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new f(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return h(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return h(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,h(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=c(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,c,h){var f=h.dtype,p=h.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var m=0,g=0,y=d(p,h.stride.slice());if(\"float32\"===f?m=t.FLOAT:\"float64\"===f?(m=t.FLOAT,y=!1,f=\"float32\"):\"uint8\"===f?m=t.UNSIGNED_BYTE:(m=t.UNSIGNED_BYTE,y=!1,f=\"uint8\"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],h=n(h.data,p,[h.stride[0],h.stride[1],1],h.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])g=t.ALPHA;else 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i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=c(a,o,s);a/=l,o/=l,s/=l;var u=i[0],h=i[4],f=i[8],p=u*a+h*o+f*s,d=c(u-=a*p,h-=o*p,f-=s*p),m=(u/=d)*e+a*r,g=(h/=d)*e+o*r,y=(f/=d)*e+s*r;this.center.move(t,m,g,y);var v=Math.exp(this.computedRadius[0]);v=Math.max(1e-4,v+n),this.radius.set(t,Math.log(v))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],h=e[a+8];if(n){var f=Math.abs(s),p=Math.abs(l),d=Math.abs(h),m=Math.max(f,p,d);f===m?(s=s<0?-1:1,l=h=0):d===m?(h=h<0?-1:1,s=l=0):(l=l<0?-1:1,s=h=0)}else{var g=c(s,l,h);s/=g,l/=g,h/=g}var y,v,x=e[o],_=e[o+4],b=e[o+8],w=x*s+_*l+b*h,T=c(x-=s*w,_-=l*w,b-=h*w),k=l*(b/=T)-h*(_/=T),A=h*(x/=T)-s*b,M=s*_-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,H,G,Z),this.radius.idle(t),this.up.jump(t,s,l,h),this.right.jump(t,x,_,b),2===a){var 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e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},tr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},tr.prototype.serialize=function(){for(var t=[\"step\",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var rr=Object.freeze({__proto__:null,number:er,color:function(t,e,r){return new ce(er(t.r,e.r,r),er(t.g,e.g,r),er(t.b,e.b,r),er(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return er(t,e[n],r)}))}}),nr=.95047,ir=1,ar=1.08883,or=4/29,sr=6/29,lr=3*sr*sr,cr=sr*sr*sr,ur=Math.PI/180,hr=180/Math.PI;function fr(t){return t>cr?Math.pow(t,1/3):t/lr+or}function pr(t){return t>sr?t*t*t:lr*(t-or)}function dr(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function mr(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function gr(t){var e=mr(t.r),r=mr(t.g),n=mr(t.b),i=fr((.4124564*e+.3575761*r+.1804375*n)/nr),a=fr((.2126729*e+.7151522*r+.072175*n)/ir);return{l:116*a-16,a:500*(i-a),b:200*(a-fr((.0193339*e+.119192*r+.9503041*n)/ar)),alpha:t.a}}function yr(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=ir*pr(e),r=nr*pr(r),n=ar*pr(n),new ce(dr(3.2404542*r-1.5371385*e-.4985314*n),dr(-.969266*r+1.8760108*e+.041556*n),dr(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function vr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var xr={forward:gr,reverse:yr,interpolate:function(t,e,r){return{l:er(t.l,e.l,r),a:er(t.a,e.a,r),b:er(t.b,e.b,r),alpha:er(t.alpha,e.alpha,r)}}},_r={forward:function(t){var e=gr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*hr;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*ur,r=t.c;return 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a=Qe(e,n),o=e[a],s=e[a+1],l=wr.interpolationFactor(this.interpolation,n,o,s),c=r[a].evaluate(t),u=r[a+1].evaluate(t);return\"interpolate\"===this.operator?rr[this.type.kind.toLowerCase()](c,u,l):\"interpolate-hcl\"===this.operator?_r.reverse(_r.interpolate(_r.forward(c),_r.forward(u),l)):xr.reverse(xr.interpolate(xr.forward(c),xr.forward(u),l))},wr.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1)t(r[e])},wr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},wr.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var kr=function(t,e){this.type=t,this.args=e};kr.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var c=n&&i.some((function(t){return ie(n,t.type)}));return new kr(c?Jt:r,i)},kr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length&&(n++,(r=a[i].evaluate(t))&&r instanceof pe&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null===r);i+=1);return r},kr.prototype.eachChild=function(t){this.args.forEach(t)},kr.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},kr.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var Ar=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};Ar.prototype.evaluate=function(t){return this.result.evaluate(t)},Ar.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1)t(r[e][1]);t(this.result)},Ar.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new Ar(r,o):null},Ar.prototype.outputDefined=function(){return this.result.outputDefined()},Ar.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var Mr=function(t,e,r){this.type=t,this.index=e,this.input=r};Mr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Zt),n=e.parse(t[2],2,ee(e.expectedType||Jt));if(!r||!n)return null;var i=n.type;return new Mr(i.itemType,r,n)},Mr.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new xe(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new xe(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new xe(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},Mr.prototype.eachChild=function(t){t(this.index),t(this.input)},Mr.prototype.outputDefined=function(){return!1},Mr.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var Sr=function(t,e){this.type=Yt,this.needle=t,this.haystack=e};Sr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);return r&&n?ae(r.type,[Yt,Wt,Zt,Gt,Jt])?new Sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\"):null},Sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(ge(e))+\" instead.\");if(!oe(r,[\"string\",\"array\"]))throw new xe(\"Expected second argument to be of type array or string, but found \"+re(ge(r))+\" instead.\");return r.indexOf(e)>=0},Sr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},Sr.prototype.outputDefined=function(){return!0},Sr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var Er=function(t,e,r){this.type=Zt,this.needle=t,this.haystack=e,this.fromIndex=r};Er.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);if(!r||!n)return null;if(!ae(r.type,[Yt,Wt,Zt,Gt,Jt]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Zt);return i?new Er(r,n,i):null}return new Er(r,n)},Er.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(ge(e))+\" instead.\");if(!oe(r,[\"string\",\"array\"]))throw new xe(\"Expected second argument to be of type array or string, but found \"+re(ge(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},Er.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},Er.prototype.outputDefined=function(){return!1},Er.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var Cr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};Cr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of 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t[0],t[1].outputDefined()}))&&this.otherwise.outputDefined()},Lr.prototype.serialize=function(){var t=[\"case\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var Ir=function(t,e,r,n){this.type=t,this.input=e,this.beginIndex=r,this.endIndex=n};function Pr(t,e){return\"==\"===t||\"!=\"===t?\"boolean\"===e.kind||\"string\"===e.kind||\"number\"===e.kind||\"null\"===e.kind||\"value\"===e.kind:\"string\"===e.kind||\"number\"===e.kind||\"value\"===e.kind}function zr(t,e,r,n){return 0===n.compare(e,r)}function Or(t,e,r){var n=\"==\"!==t&&\"!=\"!==t;return function(){function i(t,e,r){this.type=Yt,this.lhs=t,this.rhs=e,this.collator=r,this.hasUntypedArgument=\"value\"===t.type.kind||\"value\"===e.type.kind}return i.parse=function(t,e){if(3!==t.length&&4!==t.length)return e.error(\"Expected two or three arguments.\");var r=t[0],a=e.parse(t[1],1,Jt);if(!a)return null;if(!Pr(r,a.type))return e.concat(1).error('\"'+r+\"\\\" comparisons are not supported for type 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Xr([new qt(\"\",\"data expressions not supported\")]);var i=Xe(r,[\"zoom\"]);if(!i&&!Jr(e))return Xr([new qt(\"\",\"zoom expressions not supported\")]);var a=gn(r);if(!a&&!i)return Xr([new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(a instanceof qt)return Xr([a]);if(a instanceof wr&&!Kr(e))return Xr([new qt(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!a)return Yr(new fn(n?\"constant\":\"source\",t.value));var o=a instanceof wr?a.interpolation:void 0;return Yr(new pn(n?\"camera\":\"composite\",t.value,a.labels,o))}pn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},pn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},pn.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?wr.interpolationFactor(this.interpolationType,t,e,r):0};var mn=function(t,e){this._parameters=t,this._specification=e,jt(this,rn(this._parameters,this._specification))};function gn(t){var e=null;if(t instanceof Ar)e=gn(t.result);else if(t instanceof kr)for(var r=0,n=t.args;r<n.length;r+=1){var i=n[r];if(e=gn(i))break}else(t instanceof tr||t instanceof wr)&&t.input instanceof Ee&&\"zoom\"===t.input.name&&(e=t);return e instanceof qt||t.eachChild((function(t){var r=gn(t);r instanceof qt?e=r:!e&&r?e=new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):e&&r&&e!==r&&(e=new qt(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))})),e}function yn(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Qr(r);if(\"object\"!==l)return[new Bt(e,r,\"object expected, \"+l+\" found\")];for(var c in r){var u=c.split(\".\")[0],h=n[u]||n[\"*\"],f=void 0;if(i[u])f=i[u];else if(n[u])f=Hn;else if(i[\"*\"])f=i[\"*\"];else{if(!n[\"*\"]){s.push(new Bt(e,r[c],'unknown property \"'+c+'\"'));continue}f=Hn}s=s.concat(f({key:(e?e+\".\":e)+c,value:r[c],valueSpec:h,style:a,styleSpec:o,object:r,objectKey:c},r))}for(var p in n)i[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Bt(e,r,'missing required property \"'+p+'\"'));return s}function vn(t){var e=t.value,r=t.valueSpec,n=t.style,i=t.styleSpec,a=t.key,o=t.arrayElementValidator||Hn;if(\"array\"!==Qr(e))return[new Bt(a,e,\"array expected, \"+Qr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new Bt(a,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new Bt(a,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};i.$version<7&&(s.function=r.function),\"object\"===Qr(r.value)&&(s=r.value);for(var l=[],c=0;c<e.length;c++)l=l.concat(o({array:e,arrayIndex:c,value:e[c],valueSpec:s,style:n,styleSpec:i,key:a+\"[\"+c+\"]\"}));return l}function xn(t){var e=t.key,r=t.value,n=t.valueSpec,i=Qr(r);return\"number\"===i&&r!=r&&(i=\"NaN\"),\"number\"!==i?[new Bt(e,r,\"number expected, \"+i+\" found\")]:\"minimum\"in n&&r<n.minimum?[new Bt(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Bt(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function _n(t){var e,r,n,i=t.valueSpec,a=Ut(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,c=\"array\"===Qr(t.value.stops)&&\"array\"===Qr(t.value.stops[0])&&\"object\"===Qr(t.value.stops[0][0]),u=yn({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Bt(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(vn({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:h})),\"array\"===Qr(r)&&0===r.length&&e.push(new Bt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Hn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&u.push(new Bt(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||u.push(new Bt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Kr(t.valueSpec)&&u.push(new Bt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!$r(t.valueSpec)?u.push(new Bt(t.key,t.value,\"property functions not supported\")):s&&!Jr(t.valueSpec)&&u.push(new Bt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!c||void 0!==t.value.property||u.push(new Bt(t.key,t.value,'\"property\" property is required')),u;function h(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Qr(a))return[new Bt(s,a,\"array expected, \"+Qr(a)+\" found\")];if(2!==a.length)return[new Bt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(c){if(\"object\"!==Qr(a[0]))return[new Bt(s,a,\"object expected, \"+Qr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Bt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Bt(s,a,\"object stop key must have value\")];if(n&&n>Ut(a[0].zoom))return[new Bt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ut(a[0].zoom)!==n&&(n=Ut(a[0].zoom),r=void 0,o={}),e=e.concat(yn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:xn,value:f}}))}else e=e.concat(f({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return un(Vt(a[1]))?e.concat([new Bt(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(Hn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function f(t,n){var s=Qr(t.value),l=Ut(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Bt(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 Bt(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return $r(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Bt(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Bt(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Bt(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Bt(t.key,c,\"integer expected, found \"+l)]}}function bn(t){var e=(\"property\"===t.expressionContext?dn:hn)(Vt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Bt(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Bt(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&&!Ye(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Ye(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Xe(r,[\"zoom\",\"feature-state\"]))return[new Bt(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!We(r))return[new Bt(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function wn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),i}function Tn(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!Tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}mn.deserialize=function(t){return new mn(t._parameters,t._specification)},mn.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var kn={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function An(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};Tn(t)||(t=En(t));var e=hn(t,kn);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:Sn(t)}}function Mn(t,e){return t<e?-1:t>e?1:0}function Sn(t){if(!Array.isArray(t))return!1;if(\"within\"===t[0])return!0;for(var e=1;e<t.length;e++)if(Sn(t[e]))return!0;return!1}function En(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Cn(t[1],t[2],\"==\"):\"!=\"===r?Pn(Cn(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Cn(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(En))):\"all\"===r?[\"all\"].concat(t.slice(1).map(En)):\"none\"===r?[\"all\"].concat(t.slice(1).map(En).map(Pn)):\"in\"===r?Ln(t[1],t.slice(2)):\"!in\"===r?Pn(Ln(t[1],t.slice(2))):\"has\"===r?In(t[1]):\"!has\"===r?Pn(In(t[1])):\"within\"!==r||t}function Cn(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Ln(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Mn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function In(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function Pn(t){return[\"!\",t]}function zn(t){return Tn(Vt(t.value))?bn(jt({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):On(t)}function On(t){var e=t.value,r=t.key;if(\"array\"!==Qr(e))return[new Bt(r,e,\"array expected, \"+Qr(e)+\" found\")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new Bt(r,e,\"filter array must have at least 1 element\")];switch(a=a.concat(wn({key:r+\"[0]\",value:e[0],valueSpec:i.filter_operator,style:t.style,styleSpec:t.styleSpec})),Ut(e[0])){case\"<\":case\"<=\":case\">\":case\">=\":e.length>=2&&\"$type\"===Ut(e[1])&&a.push(new Bt(r,e,'\"$type\" cannot be use with operator \"'+e[0]+'\"'));case\"==\":case\"!=\":3!==e.length&&a.push(new Bt(r,e,'filter array for operator \"'+e[0]+'\" must have 3 elements'));case\"in\":case\"!in\":e.length>=2&&\"string\"!==(n=Qr(e[1]))&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));for(var o=2;o<e.length;o++)n=Qr(e[o]),\"$type\"===Ut(e[1])?a=a.concat(wn({key:r+\"[\"+o+\"]\",value:e[o],valueSpec:i.geometry_type,style:t.style,styleSpec:t.styleSpec})):\"string\"!==n&&\"number\"!==n&&\"boolean\"!==n&&a.push(new Bt(r+\"[\"+o+\"]\",e[o],\"string, number, or boolean expected, \"+n+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var s=1;s<e.length;s++)a=a.concat(On({key:r+\"[\"+s+\"]\",value:e[s],style:t.style,styleSpec:t.styleSpec}));break;case\"has\":case\"!has\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"string\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));break;case\"within\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"object\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"object expected, \"+n+\" found\"))}return a}function Dn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Hn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Bt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Qr(a)&&$r(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Bt(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var h=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&h.push(new Bt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&tn(Vt(a))&&\"identity\"===Ut(a.type)&&h.push(new Bt(r,a,'\"text-font\" does not support identity functions'))),h.concat(Hn({key:t.key,value:a,valueSpec:u,style:n,styleSpec:i,expressionContext:\"property\",propertyType:e,propertyKey:o}))}function Rn(t){return Dn(t,\"paint\")}function Fn(t){return Dn(t,\"layout\")}function Bn(t){var e=[],r=t.value,n=t.key,i=t.style,a=t.styleSpec;r.type||r.ref||e.push(new Bt(n,r,'either \"type\" or \"ref\" is required'));var o,s=Ut(r.type),l=Ut(r.ref);if(r.id)for(var c=Ut(r.id),u=0;u<t.arrayIndex;u++){var h=i.layers[u];Ut(h.id)===c&&e.push(new Bt(n,r.id,'duplicate layer id \"'+r.id+'\", previously used at line '+h.id.__line__))}if(\"ref\"in r)[\"type\",\"source\",\"source-layer\",\"filter\",\"layout\"].forEach((function(t){t in r&&e.push(new Bt(n,r[t],'\"'+t+'\" is prohibited for ref layers'))})),i.layers.forEach((function(t){Ut(t.id)===l&&(o=t)})),o?o.ref?e.push(new Bt(n,r.ref,\"ref cannot reference another ref layer\")):s=Ut(o.type):e.push(new Bt(n,r.ref,'ref layer \"'+l+'\" not found'));else if(\"background\"!==s)if(r.source){var f=i.sources&&i.sources[r.source],p=f&&Ut(f.type);f?\"vector\"===p&&\"raster\"===s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new Bt(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&f.lineMetrics||e.push(new Bt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new Bt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new Bt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new Bt(n,r,'missing required property \"source\"'));return e=e.concat(yn({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return Hn({key:n+\".type\",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:zn,layout:function(t){return yn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Fn(jt({layerType:s},t))}}})},paint:function(t){return yn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Rn(jt({layerType:s},t))}}})}}})),e}function Nn(t){var e=t.value,r=t.key,n=Qr(e);return\"string\"!==n?[new Bt(r,e,\"string expected, \"+n+\" found\")]:[]}var jn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===Qr(r))return Nn({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,Nn({key:e+\".\"+i,value:r[i]}));return n}};function Un(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new Bt(r,e,'\"type\" is required')];var a,o=Ut(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return yn({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:jn});case\"geojson\":if(a=yn({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:jn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],c=l[0],u=l[1],h=\"string\"==typeof c?[c,[\"accumulated\"],[\"get\",s]]:c;a.push.apply(a,bn({key:r+\".\"+s+\".map\",value:u,expressionContext:\"cluster-map\"})),a.push.apply(a,bn({key:r+\".\"+s+\".reduce\",value:h,expressionContext:\"cluster-reduce\"}))}return a;case\"video\":return yn({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case\"image\":return yn({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case\"canvas\":return[new Bt(r,null,\"Please use runtime APIs to add canvas 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0===e?t.specification.default:e,t.specification)};Di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},Di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var Ri=function(t){this.property=t,this.value=new Di(t,void 0)};Ri.prototype.transitioned=function(t,e){return new Bi(this.property,this.value,e,p({},t.transition,this.transition),t.now)},Ri.prototype.untransitioned=function(){return new Bi(this.property,this.value,null,{},0)};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Fi.prototype.getValue=function(t){return w(this._values[t].value.value)},Fi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].value=new Di(this._values[t].property,null===e?void 0:w(e))},Fi.prototype.getTransition=function(t){return w(this._values[t].transition)},Fi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].transition=w(e)||void 0},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},Fi.prototype.transitioned=function(t,e){for(var r=new Ni(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},Fi.prototype.untransitioned=function(){for(var t=new Ni(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var Bi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};Bi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ni.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},Ni.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var ji=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ji.prototype.getValue=function(t){return w(this._values[t].value)},ji.prototype.setValue=function(t,e){this._values[t]=new Di(this._values[t].property,null===e?void 0:w(e))},ji.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},ji.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Ui=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Ui.prototype.isConstant=function(){return\"constant\"===this.value.kind},Ui.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Ui.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Vi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Vi.prototype.get=function(t){return this._values[t]};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},qi.prototype.interpolate=function(t,e,r){var n=rr[this.specification.type];return n?n(t,e,r):t};var Hi=function(t,e){this.specification=t,this.overrides=e};Hi.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Ui(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Ui(this,t.expression,e)},Hi.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Ui(this,{kind:\"constant\",value:void 0},t.parameters);var n=rr[this.specification.type];return n?new Ui(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Hi.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Ui(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Ui(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Ui(this,{kind:\"constant\",value:s},e)}return new Ui(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Hi),Zi=function(t){this.specification=t};Zi.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Oi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Oi(Math.floor(e.zoom),e)),t.expression.evaluate(new Oi(Math.floor(e.zoom+1),e)),e)}},Zi.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Zi.prototype.interpolate=function(t){return t};var Wi=function(t){this.specification=t};Wi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Wi.prototype.interpolate=function(){return!1};var Yi=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new Di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Ri(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};oi(\"DataDrivenProperty\",Hi),oi(\"DataConstantProperty\",qi),oi(\"CrossFadedDataDrivenProperty\",Gi),oi(\"CrossFadedProperty\",Zi),oi(\"ColorRampProperty\",Wi);var Xi=\"-transition\",$i=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new ji(r.layout)),r.paint)){for(var n in this._transitionablePaint=new Fi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Vi(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(Kn,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return x(t,Xi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Jn,n,t,e,r))return!1}if(x(t,Xi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),b(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Qn(this,t.call(Xn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Ft,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof Ui&&$r(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Rt),Ji={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ki=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Qi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function ta(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Ji[i].BYTES_PER_ELEMENT),o=r=ea(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:ea(r,Math.max(n,e)),alignment:e}}function ea(t,e){return Math.ceil(t/e)*e}Qi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Qi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Qi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Qi.prototype.clear=function(){this.length=0},Qi.prototype.resize=function(t){this.reserve(t),this.length=t},Qi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Qi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Qi);ra.prototype.bytesPerElement=4,oi(\"StructArrayLayout2i4\",ra);var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Qi);na.prototype.bytesPerElement=8,oi(\"StructArrayLayout4i8\",na);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.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Qi);ia.prototype.bytesPerElement=12,oi(\"StructArrayLayout2i4i12\",ia);var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Qi);aa.prototype.bytesPerElement=8,oi(\"StructArrayLayout2i4ub8\",aa);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.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}(Qi);oa.prototype.bytesPerElement=8,oi(\"StructArrayLayout2f8\",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.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var h=10*t;return this.uint16[h+0]=e,this.uint16[h+1]=r,this.uint16[h+2]=n,this.uint16[h+3]=i,this.uint16[h+4]=a,this.uint16[h+5]=o,this.uint16[h+6]=s,this.uint16[h+7]=l,this.uint16[h+8]=c,this.uint16[h+9]=u,t},e}(Qi);sa.prototype.bytesPerElement=20,oi(\"StructArrayLayout10ui20\",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.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,h){var f=this.length;return this.resize(f+1),this.emplace(f,t,e,r,n,i,a,o,s,l,c,u,h)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,h,f){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=h,this.int16[p+11]=f,t},e}(Qi);la.prototype.bytesPerElement=24,oi(\"StructArrayLayout4i4ui4i24\",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.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Qi);ca.prototype.bytesPerElement=12,oi(\"StructArrayLayout3f12\",ca);var ua=function(t){function e(){t.apply(this,arguments)}return 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this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,h=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[h+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Qi);ha.prototype.bytesPerElement=20,oi(\"StructArrayLayout6i1ul2ui20\",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,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return 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this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return 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so=function(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((function(t){return\"u_\"+t+\"_t\"})),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((function(t){return{name:\"a_\"+t,type:\"Float32\",components:\"color\"===r?4:2,offset:0}})),this.paintVertexArray=new a};so.prototype.populatePaintArray=function(t,e,r,n,i){var a=this.expression.evaluate(new Oi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new Oi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)},so.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)},so.prototype._setPaintValue=function(t,e,r,n){if(\"color\"===this.type)for(var i=no(r),a=no(n),o=t;o<e;o++)this.paintVertexArray.emplace(o,i[0],i[1],a[0],a[1]);else{for(var s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},so.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},so.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},so.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=h(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},so.prototype.getBinding=function(t,e,r){return new $a(t,e)};var lo=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};lo.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},lo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},lo.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],c=n[o];if(s&&l&&c)for(var u=t;u<e;u++)this.zoomInPaintVertexArray.emplace(u,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(u,l.tl[0],l.tl[1],l.br[0],l.br[1],c.tl[0],c.tl[1],c.br[0],c.br[1],l.pixelRatio,c.pixelRatio)}},lo.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Fa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Fa.members,this.expression.isStateDependent))},lo.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var co=function(t,e,r){this.binders={},this._buffers=[];var n=[];for(var i in t.paint._values)if(r(i)){var a=t.paint.get(i);if(a instanceof Ui&&$r(a.property.specification)){var o=ho(i,t.type),s=a.value,l=a.property.specification.type,c=a.property.useIntegerZoom,u=a.property.specification[\"property-type\"],h=\"cross-faded\"===u||\"cross-faded-data-driven\"===u;if(\"constant\"===s.kind)this.binders[i]=h?new ao(s.value,o):new io(s.value,o,l),n.push(\"/u_\"+i);else if(\"source\"===s.kind||h){var f=fo(i,l,\"source\");this.binders[i]=h?new lo(s,l,c,e,f,t.id):new oo(s,o,l,f),n.push(\"/a_\"+i)}else{var p=fo(i,l,\"composite\");this.binders[i]=new so(s,o,l,c,e,p),n.push(\"/z_\"+i)}}}this.cacheKey=n.sort().join(\"\")};co.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof oo||e instanceof so?e.maxValue:0},co.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof oo||o instanceof so||o instanceof lo)&&o.populatePaintArray(t,e,r,n,i)}},co.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof ao&&n.setConstantPatternPositions(t,e)}},co.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var h in this.binders){var f=this.binders[h];if((f instanceof oo||f instanceof so||f instanceof lo)&&!0===f.expression.isStateDependent){var p=n.paint.get(h);f.expression=p.value,f.updatePaintArray(c.start,c.end,u,t[o],i),a=!0}}}return a},co.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof io||r instanceof ao)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},co.prototype.getBinderAttributes=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof oo||r instanceof so)for(var n=0;n<r.paintVertexAttributes.length;n++)t.push(r.paintVertexAttributes[n].name);else if(r instanceof lo)for(var i=0;i<Fa.members.length;i++)t.push(Fa.members[i].name)}return t},co.prototype.getBinderUniforms=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof io||r instanceof ao||r instanceof so)for(var n=0,i=r.uniformNames;n<i.length;n+=1){var a=i[n];t.push(a)}}return t},co.prototype.getPaintVertexBuffers=function(){return this._buffers},co.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof io||i instanceof ao||i instanceof so)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},co.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,c=o.binding;this.binders[l].setUniform(c,n,r.get(l),s)}},co.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof lo){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof oo||r instanceof so)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},co.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof oo||r instanceof so||r instanceof lo)&&r.upload(t)}this.updatePaintBuffers()},co.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof oo||e instanceof so||e instanceof lo)&&e.destroy()}};var uo=function(t,e,r){void 0===r&&(r=function(){return!0}),this.programConfigurations={};for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.programConfigurations[a.id]=new co(a,e,r)}this.needsUpload=!1,this._featureMap=new qa,this._bufferOffset=0};function ho(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function fo(t,e,r){var n={color:{source:oa,composite:Ta},number:{source:va,composite:oa}},i=function(t){return{\"line-pattern\":{source:sa,composite:sa},\"fill-pattern\":{source:sa,composite:sa},\"fill-extrusion-pattern\":{source:sa,composite:sa}}[t]}(t);return 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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},Ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},Ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=Ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var 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,i=[],a=0;a<e;a++){var o=Xs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var f={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(f.id=this.id),f};var $s=Js;function Js(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(Ks,this,e),this.length=this._features.length}function Ks(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 Qs(t,e,r){if(3===t){var n=new $s(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Js.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Zs(this._pbf,e,this.extent,this._keys,this._values)};var tl={VectorTile:function(t,e){this.layers=t.readFields(Qs,{},e)},VectorTileFeature:Zs,VectorTileLayer:$s},el=tl.VectorTileFeature.types,rl=Math.pow(2,13);function nl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*rl)+o,i*rl*2,a*rl*2,Math.round(s))}var il=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 ia,this.indexArray=new ma,this.programConfigurations=new uo(t.layers,t.zoom),this.segments=new Da,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function al(t,e){return t.x===e.x&&(t.x<0||t.x>po)||t.y===e.y&&(t.y<0||t.y>po)}il.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ns(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,h=vo(o,u);if(this.layers[0]._featureFilter.filter(new Oi(this.zoom),h,r)){var f={id:s,sourceLayerIndex:c,index:l,geometry:u?h.geometry:yo(o),properties:o.properties,type:o.type,patterns:{}};this.hasPattern?this.features.push(js(\"fill-extrusion\",this.layers,f,this.zoom,e)):this.addFeature(f,f.geometry,l,r,{}),e.featureIndex.insert(o,f.geometry,l,c,this.index,!0)}}},il.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},il.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},il.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},il.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},il.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Gs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},il.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},il.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1)l+=u[c].length;for(var h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),f=0,p=s;f<p.length;f+=1){var d=p[f];if(0!==d.length&&!((P=d).every((function(t){return t.x<0}))||P.every((function(t){return t.x>po}))||P.every((function(t){return t.y<0}))||P.every((function(t){return t.y>po}))))for(var m=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var v=d[g-1];if(!al(y,v)){h.vertexLength+4>Da.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(v)._perp()._unit(),_=v.dist(y);m+_>32768&&(m=0),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,m),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,m),m+=_,nl(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,m),nl(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,m);var b=h.vertexLength;this.indexArray.emplaceBack(b,b+2,b+1),this.indexArray.emplaceBack(b+1,b+2,b+3),h.vertexLength+=4,h.primitiveLength+=2}}}}if(h.vertexLength+l>Da.MAX_VERTEX_ARRAY_LENGTH&&(h=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===el[t.type]){for(var w=[],T=[],k=h.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var C=S[E];nl(this.layoutVertexArray,C.x,C.y,0,0,1,1,0),w.push(C.x),w.push(C.y)}}}for(var L=as(w,T),I=0;I<L.length;I+=3)this.indexArray.emplaceBack(k+L[I],k+L[I+2],k+L[I+1]);h.primitiveLength+=L.length/3,h.vertexLength+=l}}var P;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},oi(\"FillExtrusionBucket\",il,{omit:[\"layers\",\"features\"]});var ol={paint:new Yi({\"fill-extrusion-opacity\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Gi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},sl=function(t){function e(e){t.call(this,e,ol)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new il(t)},e.prototype.queryRadius=function(){return zo(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=Oo(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,n,1];qo(c,c,e),i.push(new a(c[0]/c[3],c[1]/c[3]))}return i}(c,l,0,0),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,m=0,g=t;m<g.length;m+=1){for(var y=[],v=[],x=0,_=g[m];x<_.length;x+=1){var b=_[x],w=b.x,T=b.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+c,C=S+u,L=k+h,I=A+f,P=M+p,z=S+d,O=new a((k+s)/C,(A+l)/C);O.z=E/C,y.push(O);var D=new a(L/z,I/z);D.z=P/z,v.push(D)}i.push(y),o.push(v)}return[i,o]}(n,h,u,l);return function(t,e,r){var n=1/0;To(r,e)&&(n=cl(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],h=[l,c,o[s+1],u,l];bo(r,h)&&(n=Math.min(n,cl(r,h)))}return n!==1/0&&n}(p[0],p[1],f)},e}($i);function ll(t,e){return t.x*e.x+t.y*e.y}function cl(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=ll(s,s),h=ll(s,l),f=ll(l,l),p=ll(c,s),d=ll(c,l),m=u*f-h*h,g=(f*p-h*d)/m,y=(u*d-h*p)/m,v=1-g-y,x=i.z*v+r.z*g+a.z*y;if(isFinite(x))return x}return 1/0}for(var _=1/0,b=0,w=e;b<w.length;b+=1){var T=w[b];_=Math.min(_,T.z)}return _}var ul=ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,hl=ta([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]).members,fl=tl.VectorTileFeature.types,pl=Math.cos(Math.PI/180*37.5),dl=Math.pow(2,14)/.5,ml=function(t){var e=this;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.lineClipsArray=[],this.gradients={},this.layers.forEach((function(t){e.gradients[t.id]={}})),this.layoutVertexArray=new aa,this.layoutVertexArray2=new oa,this.indexArray=new ma,this.programConfigurations=new uo(t.layers,t.zoom),this.segments=new Da,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};ml.prototype.populate=function(t,e,r){this.hasPattern=Ns(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,h=s.sourceLayerIndex,f=this.layers[0]._featureFilter.needGeometry,p=vo(l,f);if(this.layers[0]._featureFilter.filter(new Oi(this.zoom),p,r)){var d=n?n.evaluate(p,{},r):void 0,m={id:c,properties:l.properties,type:l.type,sourceLayerIndex:h,index:u,geometry:f?p.geometry:yo(l),patterns:{},sortKey:d};i.push(m)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var v=y[g],x=v,_=x.geometry,b=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js(\"line\",this.layers,v,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(v,_,b,r,{});var k=t[b].feature;e.featureIndex.insert(k,_,b,w,this.index)}},ml.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},ml.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},ml.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},ml.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},ml.prototype.upload=function(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,hl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,ul),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},ml.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},ml.prototype.lineFeatureClips=function(t){if(t.properties&&t.properties.hasOwnProperty(\"mapbox_clip_start\")&&t.properties.hasOwnProperty(\"mapbox_clip_end\"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}},ml.prototype.addFeature=function(t,e,r,n,i){var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(t);for(var u=0,h=e;u<h.length;u+=1){var f=h[u];this.addLine(f,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},ml.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var s=\"Polygon\"===fl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var u,h=this.overscaling<=16?15*po/(512*this.overscaling):0,f=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,m=void 0,g=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],g=t[c].sub(u)._unit()._perp());for(var y=c;y<l;y++)if(!(d=y===l-1?s?t[c+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(m=g),u&&(p=u),u=t[y],g=d?d.sub(u)._unit()._perp():m;var v=(m=m||g).add(g);0===v.x&&0===v.y||v._unit();var x=m.x*g.x+m.y*g.y,_=v.x*g.x+v.y*g.y,b=0!==_?1/_:1/0,w=2*Math.sqrt(2-2*_),T=_<pl&&p&&d,k=m.x*g.y-m.y*g.x>0;if(T&&y>c){var A=u.dist(p);if(A>2*h){var M=u.sub(u.sub(p)._mult(h/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,m,0,0,f),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(b<a?E=\"miter\":b<=2&&(E=\"fakeround\")),\"miter\"===E&&b>i&&(E=\"bevel\"),\"bevel\"===E&&(b>2&&(E=\"flipbevel\"),b<i&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)v._mult(b),this.addCurrentVertex(u,v,0,0,f);else if(\"flipbevel\"===E){if(b>100)v=g.mult(-1);else{var C=b*m.add(g).mag()/m.sub(g).mag();v._perp()._mult(C*(k?-1:1))}this.addCurrentVertex(u,v,0,0,f),this.addCurrentVertex(u,v.mult(-1),0,0,f)}else if(\"bevel\"===E||\"fakeround\"===E){var L=-Math.sqrt(b*b-1),I=k?L:0,P=k?0:L;if(p&&this.addCurrentVertex(u,m,I,P,f),\"fakeround\"===E)for(var z=Math.round(180*w/Math.PI/20),O=1;O<z;O++){var D=O/z;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(m)._mult(D)._add(m)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,f)}d&&this.addCurrentVertex(u,g,-I,-P,f)}else if(\"butt\"===E)this.addCurrentVertex(u,v,0,0,f);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,v,B,B,f)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,m,0,0,f),this.addCurrentVertex(u,m,1,1,f,!0)),d&&(this.addCurrentVertex(u,g,-1,-1,f,!0),this.addCurrentVertex(u,g,0,0,f)));if(T&&y<l-1){var N=u.dist(d);if(N>2*h){var j=u.add(d.sub(u)._mult(h/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,g,0,0,f),u=j}}}}},ml.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>dl/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},ml.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*(this.lineClips?this.scaledDistance*(dl-1):this.scaledDistance);if(this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6),this.lineClips){var u=(this.scaledDistance-this.lineClips.start)/(this.lineClips.end-this.lineClips.start);this.layoutVertexArray2.emplaceBack(u,this.lineClipsArray.length)}var 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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,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Nl(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),Il(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),Il(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Nl(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,zl.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,jl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ul,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,Hl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Vl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,ql,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Zl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,Wl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,Yl,e)},writeBytesField:function(t,e){this.writeTag(t,zl.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,zl.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,zl.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,zl.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,zl.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,zl.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,zl.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,zl.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,zl.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,zl.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var Kl=3;function Ql(t,e,r){1===t&&r.readMessage(tc,e)}function tc(t,e,r){if(3===t){var n=r.readMessage(ec,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new Jo({width:o+2*Kl,height:s+2*Kl},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function ec(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 rc=Kl;function nc(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var 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 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Ko({width:o||1,height:s||1});for(var c in t){var u=t[c],h=r[c].paddedRect;Ko.copy(u.data,l,{x:0,y:0},{x:h.x+ic,y:h.y+ic},u.data)}for(var f in e){var p=e[f],d=n[f].paddedRect,m=d.x+ic,g=d.y+ic,y=p.data.width,v=p.data.height;Ko.copy(p.data,l,{x:0,y:0},{x:m,y:g},p.data),Ko.copy(p.data,l,{x:0,y:v-1},{x:m,y:g-1},{width:y,height:1}),Ko.copy(p.data,l,{x:0,y:0},{x:m,y:g+v},{width:y,height:1}),Ko.copy(p.data,l,{x:y-1,y:0},{x:m-1,y:g},{width:1,height:v}),Ko.copy(p.data,l,{x:0,y:0},{x:m+y,y:g},{width:1,height:v})}this.image=l,this.iconPositions=r,this.patternPositions=n};sc.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2*ic,h:i.data.height+2*ic};r.push(a),e[n]=new ac(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},sc.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)},sc.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},oi(\"ImagePosition\",ac),oi(\"ImageAtlas\",sc);var lc={horizontal:1,vertical:2,horizontalOnly:3},cc=-17;var uc=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};uc.forText=function(t,e){var r=new uc;return r.scale=t||1,r.fontStack=e,r},uc.forImage=function(t){var e=new uc;return e.imageName=t,e};var hc=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function fc(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m){var g,y=hc.fromFeature(t,i);h===lc.vertical&&y.verticalizePunctuation();var v=zi.processBidirectionalText,x=zi.processStyledBidirectionalText;if(v&&1===y.sections.length){g=[];for(var _=0,b=v(y.toString(),_c(y,c,a,e,n,p,d));_<b.length;_+=1){var w=b[_],T=new hc;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,_c(y,c,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new hc;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,_c(y,c,a,e,n,p,d));var C=[],L={positionedLines:C,text:y.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:h,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,h){for(var f=0,p=cc,d=0,m=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,v=0,x=i;v<x.length;v+=1){var _=x[v];_.trim();var b=_.getMaxScale(),w=(b-1)*Cl,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=T;var k=T.positionedGlyphs,A=0;if(_.length()){for(var M=0;M<_.length();M++){var S=_.getSection(M),E=_.getSectionIndex(M),C=_.getCharCode(M),L=0,I=null,P=null,z=null,O=Cl,D=!(l===lc.horizontal||!u&&!mi(C)||u&&(pc[C]||yi(C)));if(S.imageName){var R=n[S.imageName];if(!R)continue;z=S.imageName,t.iconsInText=t.iconsInText||!0,P=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Cl/h,I={width:F[0],height:F[1],left:ic,top:-rc,advance:D?F[1]:F[0]},L=w+(Cl-F[1]*S.scale),O=I.advance;var B=D?F[0]*S.scale-Cl*b:F[1]*S.scale-Cl*b;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[C];if(j&&j.rect)P=j.rect,I=j.metrics;else{var U=e[S.fontStack],V=U&&U[C];if(!V)continue;I=V.metrics}L=(b-S.scale)*Cl}D?(t.verticalizable=!0,k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:I,rect:P}),f+=O*S.scale+c):(k.push({glyph:C,imageName:z,x:f,y:p+L,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:I,rect:P}),f+=I.advance*S.scale+c)}if(0!==k.length){var q=f-c;d=Math.max(q,d),wc(k,0,k.length-1,g,A)}f=0;var H=a*b+A;T.lineOffset=Math.max(A,w),p+=H,m=Math.max(H,m),++y}else p+=a,++y}var G=p-cc,Z=bc(o),W=Z.horizontalAlign,Y=Z.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n-cc:(-n*l+.5)*o;for(var h=0,f=t;h<f.length;h+=1)for(var p=0,d=f[h].positionedGlyphs;p<d.length;p+=1){var m=d[p];m.x+=c,m.y+=u}})(t.positionedLines,g,W,Y,d,m,a,G,i.length),t.top+=-Y*G,t.bottom=t.top+G,t.left+=-W*d,t.right=t.left+d}(L,e,r,n,g,o,s,l,h,c,f,m),!function(t){for(var e=0,r=t;e<r.length;e+=1)if(0!==r[e].positionedGlyphs.length)return!1;return!0}(C)&&L}hc.fromFeature=function(t,e){for(var r=new hc,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},hc.prototype.length=function(){return this.text.length},hc.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},hc.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},hc.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},hc.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&gi(n)&&!El[t[r+1]]||i&&gi(i)&&!El[t[r-1]]||!El[t[r]]?e+=t[r]:e+=El[t[r]]}return e}(this.text)},hc.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&pc[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&pc[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},hc.prototype.substring=function(t,e){var r=new hc;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},hc.prototype.toString=function(){return this.text},hc.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return Math.max(e,t.sections[r].scale)}),0)},hc.prototype.addTextSection=function(t,e){this.text+=t.text,this.sections.push(uc.forText(t.scale,t.fontStack||e));for(var r=this.sections.length-1,n=0;n<t.text.length;++n)this.sectionIndex.push(r)},hc.prototype.addImageSection=function(t){var e=t.image?t.image.name:\"\";if(0!==e.length){var r=this.getNextImageSectionCharCode();r?(this.text+=String.fromCharCode(r),this.sections.push(uc.forImage(e)),this.sectionIndex.push(this.sections.length-1)):k(\"Reached maximum number of images 6401\")}else k(\"Can't add FormattedSection with an empty image.\")},hc.prototype.getNextImageSectionCharCode=function(){return this.imageSectionID?this.imageSectionID>=63743?null:++this.imageSectionID:(this.imageSectionID=57344,this.imageSectionID)};var pc={9:!0,10:!0,11:!0,12:!0,13:!0,32:!0},dc={};function mc(t,e,r,n,i,a){if(e.imageName){var o=n[e.imageName];return o?o.displaySize[0]*e.scale*Cl/a+i:0}var s=r[e.fontStack],l=s&&s[t];return 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a(0,0);u.push({tl:O,tr:D,bl:R,br:F,tex:y,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:Y,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,i,o,s,n,t.allowVerticalPlacement),y=t.textSizeData,v=null;\"source\"===y.kind?(v=[Ac*i.layout.get(\"text-size\").evaluate(s,{})])[0]>eu&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tu+'. Reduce your \"text-size\".'):\"composite\"===y.kind&&((v=[Ac*d.compositeTextSizes[0].evaluate(s,{},m),Ac*d.compositeTextSizes[1].evaluate(s,{},m)])[0]>eu||v[1]>eu)&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tu+'. Reduce your \"text-size\".'),t.addSymbols(t.text,g,v,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,m);for(var x=0,_=h;x<_.length;x+=1)f[_[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function nu(t){for(var e in t)return t[e];return null}function iu(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var au=tl.VectorTileFeature.types,ou=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function su(t,e,r,n,i,a,o,s,l,c,u,h,f){var p=s?Math.min(eu,Math.round(s[0])):0,d=s?Math.min(eu,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*h,256*f)}function lu(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function cu(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(_i(r[e].text))return!0;return!1}var uu=function(t){this.layoutVertexArray=new la,this.indexArray=new ma,this.programConfigurations=t,this.segments=new Da,this.dynamicLayoutVertexArray=new ca,this.opacityVertexArray=new ua,this.placedSymbolArray=new Sa};uu.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},uu.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,wl.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Tl.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,ou,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},uu.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},oi(\"SymbolBuffers\",uu);var hu=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new Da,this.collisionVertexArray=new da};hu.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,kl.members,!0)},hu.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},oi(\"CollisionBuffers\",hu);var fu=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Bo([]),this.placementViewportMatrix=Bo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Mc(this.zoom,e[\"text-size\"]),this.iconSizeData=Mc(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.canOverlap=r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&this.canOverlap,\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return lc[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};fu.prototype.createArrays=function(){this.text=new uu(new uo(this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new uu(new uo(this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new La,this.lineVertexArray=new Ia,this.symbolInstances=new Ca},fu.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=El[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},fu.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof fe&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var h=e.iconDependencies,f=e.glyphDependencies,p=e.availableImages,d=new Oi(this.zoom),m=0,g=t;m<g.length;m+=1){var y=g[m],v=y.feature,x=y.id,_=y.index,b=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T=vo(v,w);if(n._featureFilter.filter(d,T,r)){w||(T.geometry=yo(v));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=fe.factory(A);cu(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Ii()||this.hasRTLText&&zi.isParsed())&&(k=Sl(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof pe?E:pe.fromString(E)}if(k||S){var C=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,L={id:x,text:k,icon:S,index:_,sourceLayerIndex:b,geometry:T.geometry,properties:v.properties,type:au[v.type],sortKey:C};if(this.features.push(L),S&&(h[S.name]=!0),k){var I=a.evaluate(T,{},r).join(\",\"),P=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(lc.vertical)>=0;for(var z=0,O=k.sections;z<O.length;z+=1){var D=O[z];if(D.image)h[D.image.name]=!0;else{var R=di(k.toString()),F=D.fontStack||I,B=f[F]=f[F]||{};this.calculateGlyphDependencies(D.text,B,P,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],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 m=s(p,d,h),g=o(p,d,n[m].geometry);delete e[p],delete r[d],r[l(f,n[g].geometry,!0)]=g,n[m].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},fu.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))},fu.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},fu.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},fu.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},fu.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},fu.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},fu.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},fu.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,h){for(var f=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,f,this.canOverlap?a.sortKey:void 0),m=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===lc.vertical?Math.PI/2:0,v=a.text&&a.text.sections,x=0;x<e.length;x++){var _=e[x],b=_.tl,w=_.tr,T=_.bl,k=_.br,A=_.tex,M=_.pixelOffsetTL,S=_.pixelOffsetBR,E=_.minFontScaleX,C=_.minFontScaleY,L=_.glyphOffset,I=_.isSDF,P=_.sectionIndex,z=d.vertexLength,O=L[1];su(p,s.x,s.y,b.x,O+b.y,A.x,A.y,r,I,M.x,M.y,E,C),su(p,s.x,s.y,w.x,O+w.y,A.x+A.w,A.y,r,I,S.x,M.y,E,C),su(p,s.x,s.y,T.x,O+T.y,A.x,A.y+A.h,r,I,M.x,S.y,E,C),su(p,s.x,s.y,k.x,O+k.y,A.x+A.w,A.y+A.h,r,I,S.x,S.y,E,C),lu(t.dynamicLayoutVertexArray,s,y),f.emplaceBack(z,z+1,z+2),f.emplaceBack(z+1,z+2,z+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(L[0]),x!==e.length-1&&P===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},h,v&&v[P])}t.placedSymbolArray.emplaceBack(s.x,s.y,m,this.glyphOffsetArray.length-m,g,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},fu.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},fu.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),c=l.vertexLength,u=i.layoutVertexArray,h=i.collisionVertexArray,f=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,h,o,f,p,new a(t,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,n)),this._addCollisionDebugVertex(u,h,o,f,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},fu.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},fu.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new hu(fa,Al.members,ba),this.iconCollisionBox=new hu(fa,Al.members,ba);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},fu.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var h=t.get(u);c.textBox={x1:h.x1,y1:h.y1,x2:h.x2,y2:h.y2,anchorPointX:h.anchorPointX,anchorPointY:h.anchorPointY},c.textFeatureIndex=h.featureIndex;break}for(var f=n;f<i;f++){var p=t.get(f);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var m=t.get(d);c.iconBox={x1:m.x1,y1:m.y1,x2:m.x2,y2:m.y2,anchorPointX:m.anchorPointX,anchorPointY:m.anchorPointY},c.iconFeatureIndex=m.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);c.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},c.verticalIconFeatureIndex=y.featureIndex;break}return c},fu.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},fu.prototype.hasTextData=function(){return this.text.segments.get().length>0},fu.prototype.hasIconData=function(){return this.icon.segments.get().length>0},fu.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},fu.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},fu.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},fu.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},fu.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},fu.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},fu.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},oi(\"SymbolBucket\",fu,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),fu.MAX_GLYPHS=65535,fu.addDynamicAttributes=lu;var pu=new Yi({\"symbol-placement\":new qi(Ft.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new qi(Ft.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new qi(Ft.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Hi(Ft.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new qi(Ft.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new qi(Ft.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new qi(Ft.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new qi(Ft.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new qi(Ft.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Hi(Ft.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new qi(Ft.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new qi(Ft.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Hi(Ft.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Hi(Ft.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new qi(Ft.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new qi(Ft.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Hi(Ft.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Hi(Ft.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new qi(Ft.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new qi(Ft.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new qi(Ft.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Hi(Ft.layout_symbol[\"text-field\"]),\"text-font\":new Hi(Ft.layout_symbol[\"text-font\"]),\"text-size\":new Hi(Ft.layout_symbol[\"text-size\"]),\"text-max-width\":new Hi(Ft.layout_symbol[\"text-max-width\"]),\"text-line-height\":new qi(Ft.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Hi(Ft.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Hi(Ft.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Hi(Ft.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new qi(Ft.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Hi(Ft.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new qi(Ft.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new qi(Ft.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Hi(Ft.layout_symbol[\"text-rotate\"]),\"text-padding\":new qi(Ft.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new qi(Ft.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Hi(Ft.layout_symbol[\"text-transform\"]),\"text-offset\":new Hi(Ft.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new qi(Ft.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new qi(Ft.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new qi(Ft.layout_symbol[\"text-optional\"])}),du={paint:new Yi({\"icon-opacity\":new Hi(Ft.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Hi(Ft.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Hi(Ft.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Hi(Ft.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Hi(Ft.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new qi(Ft.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new qi(Ft.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Hi(Ft.paint_symbol[\"text-opacity\"]),\"text-color\":new Hi(Ft.paint_symbol[\"text-color\"],{runtimeType:Xt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Hi(Ft.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Hi(Ft.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Hi(Ft.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new qi(Ft.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new qi(Ft.paint_symbol[\"text-translate-anchor\"])}),layout:pu},mu=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};mu.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},mu.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},mu.prototype.outputDefined=function(){return!1},mu.prototype.serialize=function(){return null},oi(\"FormatSectionOverride\",mu,{omit:[\"defaultValue\"]});var gu=function(t){function e(e){t.call(this,e,du)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||un(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new fu(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=du.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new mu(a),s=new cn(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new fn(\"source\",s):new pn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Ui(a.property,i,a.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=du.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof fe)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ve&&ge(t.value)===Qt){var e=t.value;a(e.sections)}else t instanceof we?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}($i),yu={paint:new Yi({\"background-color\":new qi(Ft.paint_background[\"background-color\"]),\"background-pattern\":new Zi(Ft.paint_background[\"background-pattern\"]),\"background-opacity\":new qi(Ft.paint_background[\"background-opacity\"])})},vu=function(t){function e(e){t.call(this,e,yu)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}($i),xu={paint:new Yi({\"raster-opacity\":new qi(Ft.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new qi(Ft.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new qi(Ft.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new qi(Ft.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new qi(Ft.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new qi(Ft.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new qi(Ft.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new qi(Ft.paint_raster[\"raster-fade-duration\"])})},_u=function(t){function e(e){t.call(this,e,xu)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}($i);var bu=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}($i),wu={circle:Go,heatmap:es,hillshade:ns,fill:Hs,\"fill-extrusion\":sl,line:_l,symbol:gu,background:vu,raster:_u};var Tu=s.HTMLImageElement,ku=s.HTMLCanvasElement,Au=s.HTMLVideoElement,Mu=s.ImageData,Su=s.ImageBitmap,Eu=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Eu.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Tu||t instanceof ku||t instanceof Au||t instanceof Mu||Su&&t instanceof Su?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Tu||t instanceof ku||t instanceof Au||t instanceof Mu||Su&&t instanceof Su?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Eu.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)},Eu.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Eu.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Cu=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()})};Cu.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))},Cu.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Lu=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 Cu(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=S()?t:s};function Iu(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]}Lu.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=L(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ui(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Lu.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 S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Lu.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},Lu.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(hi(e.error)):n(null,hi(e.data)))}else{var i=!1,a=L(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?ui(e):null,data:ui(n,a)},a)}:function(t){i=!0},s=null,l=hi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Lu.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Pu=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]))};Pu.prototype.setNorthEast=function(t){return this._ne=t instanceof Ou?new Ou(t.lng,t.lat):Ou.convert(t),this},Pu.prototype.setSouthWest=function(t){return this._sw=t instanceof Ou?new Ou(t.lng,t.lat):Ou.convert(t),this},Pu.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Ou)e=t,r=t;else{if(!(t instanceof Pu)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Pu.convert(a))}var o=t;return this.extend(Ou.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Ou(e.lng,e.lat),this._ne=new Ou(r.lng,r.lat)),this},Pu.prototype.getCenter=function(){return new Ou((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Pu.prototype.getSouthWest=function(){return this._sw},Pu.prototype.getNorthEast=function(){return this._ne},Pu.prototype.getNorthWest=function(){return new Ou(this.getWest(),this.getNorth())},Pu.prototype.getSouthEast=function(){return new Ou(this.getEast(),this.getSouth())},Pu.prototype.getWest=function(){return this._sw.lng},Pu.prototype.getSouth=function(){return this._sw.lat},Pu.prototype.getEast=function(){return this._ne.lng},Pu.prototype.getNorth=function(){return this._ne.lat},Pu.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Pu.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Pu.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Pu.prototype.contains=function(t){var e=Ou.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Pu.convert=function(t){return!t||t instanceof Pu?t:new Pu(t)};var zu=6371008.8,Ou=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\")};Ou.prototype.wrap=function(){return new Ou(f(this.lng,-180,180),this.lat)},Ou.prototype.toArray=function(){return[this.lng,this.lat]},Ou.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Ou.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return zu*Math.acos(Math.min(i,1))},Ou.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 Pu(new Ou(this.lng-r,this.lat-e),new Ou(this.lng+r,this.lat+e))},Ou.convert=function(t){if(t instanceof Ou)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Ou(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Ou(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 Du=2*Math.PI*zu;function Ru(t){return Du*Math.cos(t*Math.PI/180)}function Fu(t){return(180+t)/360}function Bu(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nu(t,e){return t/Ru(e)}function ju(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Ou.convert(t);return new Uu(Fu(r.lng),Bu(r.lat),Nu(e,r.lat))},Uu.prototype.toLngLat=function(){return new Ou(360*this.x-180,ju(this.y))},Uu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Ru(ju(e));var t,e},Uu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Du*(t=ju(this.y),1/Math.cos(t*Math.PI/180));var t};var Vu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gu(0,t,t,e,r)};Vu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Iu(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Iu(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},Vu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*po,(t.y*e-this.y)*po)},Vu.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var qu=function(t,e){this.wrap=t,this.canonical=e,this.key=Gu(t,e.z,e.z,e.x,e.y)},Hu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Vu(r,+n,+i),this.key=Gu(e,t,r,n,i)};function Gu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Hu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Hu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Hu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hu.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},Hu.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hu(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 Hu(e,this.wrap,e,r,n),new Hu(e,this.wrap,e,r+1,n),new Hu(e,this.wrap,e,r,n+1),new Hu(e,this.wrap,e,r+1,n+1)]},Hu.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))},Hu.prototype.wrapped=function(){return new Hu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Hu.prototype.unwrapTo=function(t){return new Hu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Hu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Hu.prototype.toUnwrapped=function(){return new qu(this.wrap,this.canonical)},Hu.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Hu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Uu(t.x-this.wrap,t.y))},oi(\"CanonicalTileID\",Vu),oi(\"OverscaledTileID\",Hu,{omit:[\"posMatrix\"]});var Zu=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 k('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Zu.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},Zu.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Zu.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)},Zu.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Zu.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Zu.prototype.getPixels=function(){return new Ko({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Zu.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},oi(\"DEMData\",Zu);var Wu=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}};Wu.prototype.encode=function(t){return this._stringToNumber[t]},Wu.prototype.decode=function(t){return this._numberToString[t]};var Yu=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},Xu={geometry:{configurable:!0}};Xu.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},Xu.geometry.set=function(t){this._geometry=t},Yu.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(Yu.prototype,Xu);var $u=function(){this.state={},this.stateChanges={},this.deletedStates={}};$u.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]||{},p(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},$u.prototype.removeFeatureState=function(t,e,r){if(null!==this.deletedStates[t]){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}},$u.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=p({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},$u.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},$u.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),p(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var u=0,h=Object.keys(this.deletedStates[o][c]);u<h.length;u+=1){var f=h[u];delete this.state[o][c][f]}s[c]=this.state[o][c]}r[o]=r[o]||{},p(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Ju=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ti(po,16,0),this.grid3D=new ti(po,16,0),this.featureIndexArray=new za,this.promoteId=e};function Ku(t,e,r,n,i){return _(t,(function(t,a){var o=e instanceof Vi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Qu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function th(t,e){return e-t}Ju.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],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]<po&&u[1]<po&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},Ju.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Pl(this.rawTileData)).layers,this.sourceLayerCoder=new Wu(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Ju.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),c=t.queryGeometry,u=t.queryPadding*s,h=Qu(c),f=this.grid.query(h.minX-u,h.minY-u,h.maxX+u,h.maxY+u),p=Qu(t.cameraQueryGeometry),d=0,m=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(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(Lo(t,h[u]))return!0;for(var f=0;f<t.length-1;f++)if(Io(t[f],t[f+1],c))return!0;return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,i+u)}));d<m.length;d+=1){var g=m[d];f.push(g)}f.sort(th);for(var y,v={},x=function(a){var u=f[a];if(u!==y){y=u;var h=i.featureIndexArray.get(u),p=null;i.loadMatchingFeature(v,h.bucketIndex,h.sourceLayerIndex,h.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=yo(e)),r.queryIntersectsFeature(c,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<f.length;_++)x(_);return v},Ju.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var h=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,h)){var f=this.sourceLayerCoder.decode(r),d=this.vtLayers[f].feature(n);if(i.needGeometry){var m=vo(d,!0);if(!i.filter(new Oi(this.tileID.overscaledZ),m,this.tileID.canonical))return}else if(!i.filter(new Oi(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,f),y=0;y<h.length;y++){var v=h[y];if(!(a&&a.indexOf(v)<0)){var x=s[v];if(x){var _={};void 0!==g&&c&&(_=c.getState(x.sourceLayer||\"_geojsonTileLayer\",g));var b=p({},l[v]);b.paint=Ku(b.paint,x.paint,d,_,o),b.layout=Ku(b.layout,x.layout,d,_,o);var w=!u||u(d,x,_);if(w){var T=new Yu(d,this.z,this.x,this.y,g);T.layer=b;var k=t[v];void 0===k&&(k=t[v]=[]),k.push({featureIndex:n,feature:T,intersectionZ:w})}}}}}},Ju.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=An(i),u=0,h=t;u<h.length;u+=1){var f=h[u];this.loadMatchingFeature(l,r,n,f,c,a,o,s,e)}return l},Ju.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1)if(t===i[n])return!0;return!1},Ju.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},oi(\"FeatureIndex\",Ju,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var eh=function(t,e){this.tileID=t,this.uid=m(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};eh.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<N.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},eh.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},eh.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof fu){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof fu&&o.hasRTLText){this.hasRTLText=!0,zi.isLoading()||zi.isLoaded()||\"deferred\"!==Ii()||Pi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Aa},eh.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\"},eh.prototype.getBucket=function(t){return this.buckets[t.id]},eh.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 Eu(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Eu(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},eh.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},eh.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},eh.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=An(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,h={z:l,x:c,y:u},f=0;f<a.length;f++){var p=a.feature(f);if(o.needGeometry){var d=vo(p,!0);if(!o.filter(new Oi(this.tileID.overscaledZ),d,this.tileID.canonical))continue}else if(!o.filter(new Oi(this.tileID.overscaledZ),p))continue;var m=r.getId(p,i),g=new Yu(p,l,c,u,m);g.tile=h,t.push(g)}}},eh.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},eh.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},eh.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=E(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},eh.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)},eh.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},eh.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},eh.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<N.now()},eh.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},eh.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=N.now()+t},eh.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1)r[i[n]]=!0;this.dependencies[t]=r},eh.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1)if(a[s[o]])return!0}return!1};var rh=s.performance,nh=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},rh.mark(this._marks.start)};nh.prototype.finish=function(){rh.mark(this._marks.end);var t=rh.getEntriesByName(this._marks.measure);return 0===t.length&&(rh.measure(this._marks.measure,this._marks.start,this._marks.end),t=rh.getEntriesByName(this._marks.measure),rh.clearMarks(this._marks.start),rh.clearMarks(this._marks.end),rh.clearMeasures(this._marks.measure)),t},t.Actor=Lu,t.AlphaImage=Jo,t.CanonicalTileID=Vu,t.CollisionBoxArray=Aa,t.Color=ce,t.DEMData=Zu,t.DataConstantProperty=qi,t.DictionaryCoder=Wu,t.EXTENT=po,t.ErrorEvent=Dt,t.EvaluationParameters=Oi,t.Event=Ot,t.Evented=Rt,t.FeatureIndex=Ju,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=sc,t.ImagePosition=ac,t.LineBucket=ml,t.LngLat=Ou,t.LngLatBounds=Pu,t.MercatorCoordinate=Uu,t.ONE_EM=Cl,t.OverscaledTileID=Hu,t.Point=a,t.Point$1=a,t.Properties=Yi,t.Protobuf=Pl,t.RGBAImage=Ko,t.RequestManager=Z,t.RequestPerformance=nh,t.ResourceType=bt,t.SegmentVector=Da,t.SourceFeatureState=$u,t.StructArrayLayout1ui2=wa,t.StructArrayLayout2f1f2i16=pa,t.StructArrayLayout2i4=ra,t.StructArrayLayout3ui6=ma,t.StructArrayLayout4i8=na,t.SymbolBucket=fu,t.Texture=Eu,t.Tile=eh,t.Transitionable=Fi,t.Uniform1f=$a,t.Uniform1i=Xa,t.Uniform2f=Ja,t.Uniform3f=Ka,t.Uniform4f=Qa,t.UniformColor=to,t.UniformMatrix4f=ro,t.UnwrappedTileID=qu,t.ValidationError=Bt,t.WritingMode=lc,t.ZoomHistory=fi,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=lu,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=c,t.bindAll=v,t.browser=N,t.cacheEntryPossiblyAdded=function(t){++xt>ft&&(t.getActor().send(\"enforceCacheSizeLimit\",ht),xt=0)},t.clamp=h,t.clearTileCache=function(t){var e=s.caches.delete(ut);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fc,t.clone=function(t){var e=new Fo(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},t.clone$1=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Fo(9);return Fo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Fo(4);return Fo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=hn,t.createLayout=ta,t.createStyleLayer=function(t){return\"custom\"===t.type?new bu(t):new wu[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if(\"object\"==typeof e&&null!==e&&null!==r){if(\"object\"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return 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r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=b(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new j(s,$,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new j(s,$,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,h=l.range(W(r),Y(a),W(i),Y(n));u<h.length;u+=1){var f=h[u],p=l.points[f];c.push(p.numPoints?G(p):this.points[p.index])}return c},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],h=i.points[u];h.parentId===t&&s.push(h.numPoints?G(h):this.points[h.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?Z(l):this.points[l.index].properties},h=void 0;c?h=l.id:this.options.generateId?h=l.index:this.points[l.index].id&&(h=this.points[l.index].id),void 0!==h&&(u.id=h),a.features.push(u)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(+t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=n.minPoints,l=i/(a*Math.pow(2,e)),c=0;c<t.length;c++){var u=t[c];if(!(u.zoom<=e)){u.zoom=e;for(var h=this.trees[e+1],f=h.within(u.x,u.y,l),p=u.numPoints||1,d=p,m=0,g=f;m<g.length;m+=1){var y=g[m],v=h.points[y];v.zoom>e&&(d+=v.numPoints||1)}if(d>=s){for(var x=u.x*p,_=u.y*p,b=o&&p>1?this._map(u,!0):null,w=(c<<5)+(e+1)+this.points.length,T=0,k=f;T<k.length;T+=1){var A=k[T],M=h.points[A];if(!(M.zoom<=e)){M.zoom=e;var S=M.numPoints||1;x+=M.x*S,_+=M.y*S,M.parentId=w,o&&(b||(b=this._map(u,!0)),o(b,this._map(M)))}}u.parentId=w,r.push(q(x/d,_/d,w,d,b))}else if(r.push(u),d>1)for(var E=0,C=f;E<C.length;E+=1){var L=C[E],I=h.points[L];I.zoom<=e||(I.zoom=e,r.push(I))}}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,h=kt(e,r,n),f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=_t(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,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue;if(f.source=null,0!==t.length){c>1&&console.time(\"clipping\");var m,g,y,v,x,_,b=.5*l.buffer/l.extent,w=.5-b,T=.5+b,k=1+b;m=g=y=v=null,x=lt(t,u,r-b,r+T,0,f.minX,f.maxX,l),_=lt(t,u,r+w,r+k,0,f.minX,f.maxX,l),t=null,x&&(m=lt(x,u,n-b,n+T,1,f.minY,f.maxY,l),g=lt(x,u,n+w,n+k,1,f.minY,f.maxY,l),x=null),_&&(y=lt(_,u,n-b,n+T,1,f.minY,f.maxY,l),v=lt(_,u,n+w,n+k,1,f.minY,f.maxY,l),_=null),c>1&&console.timeEnd(\"clipping\"),s.push(m||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(v||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return vt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,h=r;!l&&c>0;)c--,u=Math.floor(u/2),h=Math.floor(h/2),l=this.tiles[kt(c,u,h)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,h),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,h,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?vt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON 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i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var c={};if(i){var u=i.finish();u&&(c.resourceTiming={},c.resourceTiming[n.source]=JSON.parse(JSON.stringify(u)))}r(null,c)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},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.isParsed())throw new Error(\"RTL text plugin already 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t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var 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],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!(t&&(4!==t.length||t[0]<0||e.data.width<t[0]||t[1]<0||e.data.height<t[1]||t[2]<0||e.data.width<t[2]||t[3]<0||e.data.height<t[3]||t[2]<t[0]||t[3]<t[1]))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,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 i=this.images[n];h(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,m=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(v(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(v(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function v(t,e,r,n,i){r[0]=0,n[0]=-m,n[1]=+m;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+m}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?m:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?m:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var _=function(){this.specification=t.styleSpec.light.position};_.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},_.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 b=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new _,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=\"-transition\",T=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(b),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),h=Math.abs(c-l.right),f=Math.min(u,h),p=void 0,d=i/r*(n+1);if(l.isDash){var m=n-Math.abs(d);p=Math.sqrt(f*f+m*m)}else p=n-Math.sqrt(f*f+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),h=Math.abs(c-l.right),f=Math.min(u,h),p=l.isDash?f:-f;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},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.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.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]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=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 S(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.setSourceProperty=function(t){this._tileJSONRequest&&this._tileJSONRequest.cancel(),t(),this.map.style.sourceCaches[this.id].clearTiles(),this.load()},r.prototype.setTiles=function(t){var e=this;return this.setSourceProperty((function(){e._options.tiles=t})),this},r.prototype.setUrl=function(t){var e=this;return this.setSourceProperty((function(){e.url=t,e._options.url=t})),this},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=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 S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(C),I=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,n.clusterMinPoints||2),extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties,filter:n.filter},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),z=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,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+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(z),D=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(z),R={vector:E,raster:C,\"raster-dem\":L,geojson:I,video:O,image:z,canvas:D};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var c=[],u=0,h=l;u<h.length;u+=1){var f=h[u];c.push({wrappedTileID:f.tileID.wrapped().key,queryResults:f.tile.queryRenderedFeatures(e,r,t._state,f.queryGeometry,f.cameraQueryGeometry,f.scale,i,a,s,F(t.transform,f.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var c in o)for(var u=o[c],h=l[c]=l[c]||{},f=e[c]=e[c]||[],p=0,d=u;p<d.length;p+=1){var m=d[p];h[m.featureIndex]||(h[m.featureIndex]=!0,f.push(m))}}return e}(c);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return p}function N(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var j=function(t,e){this.max=t,this.onRemove=e,this.reset()};j.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},j.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 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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 St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Ct=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Ct.Replace=[1,0],Ct.disabled=new Ct(Ct.Replace,t.Color.transparent,[!1,!1,!1,!1]),Ct.unblended=new Ct(Ct.Replace,t.Color.transparent,[!0,!0,!0,!0]),Ct.alphaBlended=new Ct([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Lt=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Lt.disabled=new Lt(!1,1029,2305),Lt.backCCW=new Lt(!0,1029,2305);var It=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new Z(this),this.clearStencil=new W(this),this.colorMask=new Y(this),this.depthMask=new X(this),this.stencilMask=new $(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ct(this),this.program=new ut(this),this.activeTexture=new ht(this),this.viewport=new ft(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new mt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new _t(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\"),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE)};It.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()},It.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},It.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},It.prototype.createVertexBuffer=function(t,e,r){return new q(this,t,e,r)},It.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},It.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},It.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},It.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))},It.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)},It.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)},It.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Ct.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},It.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Pt=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(zt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(zt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(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],m=this._tiles[p];if(m&&!(m.fadeEndTime&&m.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),c[g.tileID.key]=g.tileID),u[p]=d}}for(var y in this._retainLoadedChildren(u,a,s,l),c)l[y]||(this._coveredTiles[y]=!0,l[y]=c[y])}for(var v in l)this._tiles[v].clearFadeHold();for(var x=0,_=t.keysDifference(this._tiles,l);x<_.length;x+=1){var b=_[x],w=this._tiles[b];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(b)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],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],m=this._tiles[d.key];if(!m.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var v=d.children(this._source.maxzoom);if(n[v[0].key]&&n[v[1].key]&&n[v[2].key]&&n[v[3].key])continue}for(var x=m.wasRequested(),_=d.overscaledZ-1;_>=a;--_){var b=d.scaledTo(_);if(i[b.key])break;if(i[b.key]=!0,!(m=this.getTile(b))&&x&&(m=this._addTile(b)),m&&(n[b.key]=b,x=m.wasRequested(),m.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),h=1/0,f=1/0,p=-1/0,d=-1/0,m=0,g=c;m<g.length;m+=1){var y=g[m];h=Math.min(h,y.x),f=Math.min(f,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var v=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,m=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/m,y=[s.getTilePoint(new t.MercatorCoordinate(h,f)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var v=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:v,cameraQueryGeometry:x,scale:m})}}},x=0;x<u.length;x++)v(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(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.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function zt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function Ot(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Dt(){return new t.window.Worker(oa.workerUrl)}Pt.maxOverzooming=10,Pt.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new Dt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(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]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var qt={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 Ht(t,e,r){r.push({command:qt.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:qt.removeSource,args:[t]}),r[t]=!0}function Zt(t,e,r,n){Gt(t,r,n),Ht(t,e,r)}function Wt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Xt(t){return t.id}function $t(t,e){return t[e.id]=e,t}function Jt(e,r){if(!e)return[{command:qt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:qt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:qt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:qt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:qt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:qt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:qt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:qt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:qt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:qt.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Wt(e,r,a)?n.push({command:qt.setGeoJSONSourceData,args:[a,r[a].data]}):Zt(a,r,n,i)):Ht(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:qt.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,h=(e=e||[]).map(Xt),f=r.map(Xt),p=e.reduce($t,{}),d=r.reduce($t,{}),m=h.slice(),g=Object.create(null);for(i=0,a=0;i<h.length;i++)o=h[i],d.hasOwnProperty(o)?a++:(n.push({command:qt.removeLayer,args:[o]}),m.splice(m.indexOf(o,a),1));for(i=0,a=0;i<f.length;i++)o=f[f.length-1-i],m[m.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:qt.removeLayer,args:[o]}),m.splice(m.lastIndexOf(o,m.length-a),1)):a++,c=m[m.length-i],n.push({command:qt.addLayer,args:[d[o],c]}),m.splice(m.length-i,0,o),g[o]=!0);for(i=0;i<f.length;i++)if(s=p[o=f[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,qt.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,qt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:qt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:qt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),qt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:qt.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),qt.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:qt.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:qt.removeLayer,args:[o]}),c=m[m.lastIndexOf(o)+1],n.push({command:qt.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:qt.setStyle,args:[r]}]}return n}var Kt=function(t,e){this.reset(t,e)};Kt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Kt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(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 ae(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),h=[256/n.width*2+1,256/n.height*2+1],f=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;f.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,m=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var v=d.get(y);if(v.hidden||v.writingMode===t.WritingMode.vertical&&!g)fe(v.numGlyphs,f);else{g=!1;var x=[v.anchorX,v.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,h)){var _=x[3],b=ne(n.transform.cameraToCenterDistance,_),w=t.evaluateSizeForFeature(c,u,v),T=s?w/b:w*b,k=new t.Point(v.anchorX,v.anchorY),A=re(k,a).point,M={},S=le(v,T,!1,l,r,a,o,e.glyphOffsetArray,p,f,A,k,M,m);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(v,T,!0,l,r,a,o,e.glyphOffsetArray,p,f,A,k,M,m).notEnoughRoom)&&fe(v.numGlyphs,f)}else fe(v.numGlyphs,f)}}i?e.text.dynamicLayoutVertexBuffer.updateData(f):e.icon.dynamicLayoutVertexBuffer.updateData(f)}function oe(t,e,r,n,i,a,o,s,l,c,u){var h=s.glyphStartIndex+s.numGlyphs,f=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),m=e.getoffsetX(h-1),g=ue(t*d,r,n,i,a,o,s.segment,f,p,l,c,u);if(!g)return null;var y=ue(t*m,r,n,i,a,o,s.segment,f,p,l,c,u);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,c,u,h,f,p,d){var m,g=r/24,y=e.lineOffsetX*g,v=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,_=e.lineStartIndex,b=e.lineStartIndex+e.lineLength,w=oe(g,l,y,v,n,h,f,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}m=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)m.push(ue(g*l.getoffsetX(M),y,v,n,h,f,e.segment,_,b,c,o,p));m.push(w.last)}else{if(i&&!n){var S=re(f,a).point,E=e.lineStartIndex+e.segment+1,C=new t.Point(c.getx(E),c.gety(E)),L=re(C,a),I=L.signedDistanceFromCamera>0?L.point:ce(f,C,S,1,a),P=se(e.writingMode,S,I,d);if(P)return P}var z=ue(g*l.getoffsetX(e.glyphStartIndex),y,v,n,h,f,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!z)return{notEnoughRoom:!0};m=[z]}for(var O=0,D=m;O<D.length;O+=1){var R=D[O];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function ce(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ue(e,r,n,i,a,o,s,l,c,u,h,f){var p=i?e-r:e+r,d=p>0?1:-1,m=0;i&&(d*=-1,m=Math.PI),d<0&&(m+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,v=a,x=0,_=0,b=Math.abs(p),w=[];x+_<=b;){if((g+=d)<l||g>=c)return null;if(v=y,w.push(y),void 0===(y=f[g])){var T=new t.Point(u.getx(g),u.gety(g)),k=re(T,h);if(k.signedDistanceFromCamera>0)y=f[g]=k.point;else{var A=g-d;y=ce(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,v,b-x+1,h)}}x+=_,_=v.dist(y)}var M=(b-x)/_,S=y.sub(v),E=S.mult(M)._add(v);E._add(S._unit()._perp()._mult(n*d));var C=m+Math.atan2(y.y-v.y,y.x-v.x);return w.push(E),{point:E,angle:C,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.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)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],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 a?o.filter(a):o}var f={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,f,a),i?o.length>0:o},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,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 a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var m=this.circleCells[i];if(null!==m)for(var g=this.circles,y=0,v=m;y<v.length;y+=1){var x=v[y];if(!l.circle[x]){l.circle[x]=!0;var _=3*x;if(this._circleAndRectCollide(g[_],g[_+1],g[_+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var b=g[_],w=g[_+1],T=g[_+2];a.push({key:this.circleKeys[x],x1:b-T,y1:w-T,x2:b+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var 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 m=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,h[m+0],h[m+1],h[m+2],h[m+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,v=0,x=g;v<x.length;v+=1){var _=x[v];if(!c.circle[_]){c.circle[_]=!0;var b=3*_;if(this._circlesCollide(y[b],y[b+1],y[b+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[_])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n),f=l;f<=u;f++)for(var p=c;p<=h;p++){var d=this.xCellCount*p+f;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var h=l-s,f=u-c;return h*h+f*f<=r*r};var he=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function fe(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(he,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,me=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(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+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}me.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},me.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,h,f,p){var d=[],m=new t.Point(r.anchorX,r.anchorY),g=re(m,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),v=(u?a/y:a*y)/t.ONE_EM,x=re(m,s).point,_=oe(v,i,r.lineOffsetX*v,r.lineOffsetY*v,!1,x,m,r,n,s,{}),b=!1,w=!1,T=!0;if(_){for(var k=.5*f*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Kt,E=_.first,C=_.last,L=[],I=E.path.length-1;I>=1;I--)L.push(E.path[I]);for(var P=1;P<C.path.length;P++)L.push(C.path[P]);var z=2.5*k;if(l){var O=L.map((function(t){return re(t,l)}));L=O.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:O.map((function(t){return t.point}))}var D=[];if(L.length>0){for(var R=L[0].clone(),F=L[0].clone(),B=1;B<L.length;B++)R.x=Math.min(R.x,L[B].x),R.y=Math.min(R.y,L[B].y),F.x=Math.max(F.x,L[B].x),F.y=Math.max(F.y,L[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[L]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([L],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/z)+1;for(var q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),Z=G.x+de,W=G.y+de;d.push(Z,W,k,0);var Y=Z-k,X=W-k,$=Z+k,J=W+k;if(T=T&&this.isOffscreen(Y,X,$,J),w=w||this.isInsideGrid(Y,X,$,J),!e&&this.grid.hitTestCircle(Z,W,k,h)&&(b=!0,!c))return{circles:[],offscreen:!1,collisionDetected:b}}}}return{circles:!c&&b||!w?[]:d,offscreen:T,collisionDetected:b}},me.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+de,c.y+de);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var h={},f={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var m=d[p],g=m.key;if(void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]={}),!h[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(m.x1,m.y1),new t.Point(m.x2,m.y1),new t.Point(m.x2,m.y2),new t.Point(m.x1,m.y2)];t.polygonIntersectsPolygon(r,y)&&(h[g.bucketInstanceId][g.featureIndex]=!0,void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]=[]),f[g.bucketInstanceId].push(g.featureIndex))}}return f},me.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},me.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},me.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},me.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},me.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},me.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=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};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var ve=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};ve.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},_e=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},be=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function ke(e,r,n,i,a,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 i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:h,anchorPointY:f}}we.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 Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new me(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,h=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),f=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=ge(n,1,this.transform.zoom),m=te(h,f,p,this.transform,d),g=null;if(f){var y=ee(h,f,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new be(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var v={bucket:a,layout:l,posMatrix:h,textLabelPlaneMatrix:m,labelToScreenMatrix:g,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,_=a.sortKeyRanges;x<_.length;x+=1){var b=_[x],w=b.sortKey,T=b.symbolInstanceStart,k=b.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:v})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:v})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d){var m,g=[h.textOffset0,h.textOffset1],y=Te(t,r,n,g,i),v=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),u,s,l,c.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return v.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID]&&this.prevPlacement.placements[h.crossTileID].text&&(m=this.prevPlacement.variableOffsets[h.crossTileID].anchor),this.variableOffsets[h.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:m},this.markUsedJustification(f,t,h,p),f.allowVerticalPlacement&&(this.markUsedOrientation(f,p,h),this.placedOrientations[h.crossTileID]=p),{shift:y,placedGlyphBoxes:v}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,h=a.textPixelRatio,f=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,m=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),v=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),_=\"map\"===s.get(\"text-rotation-alignment\"),b=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=v&&(x||!o.hasIconData()||y),A=x&&(v||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(f)i.placements[e.crossTileID]=new xe(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,C={box:null,offscreen:null},L={box:null,offscreen:null},I=null,P=null,z=0,O=0,D=0;a.textFeatureIndex?z=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(z=e.featureIndex),a.verticalTextFeatureIndex&&(O=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length&&(s[i]===t.WritingMode.vertical?(C=n(),L=C):C=r(),!(C&&C.box&&C.box.length));i+=1);else C=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,f={box:[],offscreen:!1},p=v?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,c,_,b,h,l,m,y,e,o,n,u);if(k&&(f=k.placedGlyphBoxes)&&f.box&&f.box.length){T=!0,E=k.shift;break}}return f};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=C&&C.box&&C.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),C&&(T=C.box,S=C.offscreen);var V=F(C&&C.box);if(!T&&i.prevPlacement){var q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,v,h,l,m.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(C&&C.box&&C.box.length)}}if(T=(p=C)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Z=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),Y=e.collisionCircleDiameter;I=i.collisionIndex.placeCollisionCircles(v,G,o.lineVertexArray,o.glyphOffsetArray,Z,l,c,u,n,b,m.predicate,Y,W),T=v||I.circles.length>0&&!I.collisionDetected,S=S&&I.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?ke(t,E.x,E.y,_,b,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,h,l,m.predicate)};M=L&&L.box&&L.box.length&&a.verticalIconBox?(P=X(a.verticalIconBox)).box.length>0:(P=X(a.iconBox)).box.length>0,S=S&&P.offscreen}var $=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if($||J?J?$||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(L&&L.box&&O?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,m.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,m.ID)),M&&P&&i.collisionIndex.insertCollisionBox(P.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,m.ID),I&&(T&&i.collisionIndex.insertCollisionCircles(I.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,m.ID),n)){var K=o.bucketInstanceId,Q=i.collisionCircleArrays[K];void 0===Q&&(Q=i.collisionCircleArrays[K]=new _e);for(var tt=0;tt<I.circles.length;tt+=4)Q.circles.push(I.circles[tt+0]),Q.circles.push(I.circles[tt+1]),Q.circles.push(I.circles[tt+2]),Q.circles.push(I.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var C=S[E];M(o.symbolInstances.get(C),o.collisionArrays[C])}else for(var L=e.symbolInstanceStart;L<e.symbolInstanceEnd;L++)M(o.symbolInstances.get(L),o.collisionArrays[L]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var I=this.collisionCircleArrays[o.bucketInstanceId];t.invert(I.invProjMatrix,l),I.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new ve(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new ve(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var h=i[u];if(!this.opacities[u]){var f=new ve(h,n,!1,!1);f.isHidden()||(this.opacities[u]=f,r=r||h.text.placed||h.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new ve(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),h=\"map\"===a.get(\"text-pitch-alignment\"),f=\"none\"!==a.get(\"icon-text-fit\"),p=new ve(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},m=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,m=a.crossTileID,g=r[m],y=i.opacities[m];g?y=o:y||(y=p,i.opacities[m]=y),r[m]=!0;var v=s>0||l>0,x=a.numIconVertices>0,_=i.placedOrientations[a.crossTileID],b=_===t.WritingMode.vertical,w=_===t.WritingMode.horizontal||_===t.WritingMode.horizontalOnly;if(v){var T=Oe(y.text),k=b?De:T;d(e.text,s,k);var A=w?De:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||b?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,_);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var C=Oe(y.icon),L=!(f&&a.verticalPlacedIconSymbolIndex&&b);if(a.placedIconSymbolIndex>=0){var I=L?C:De;d(e.icon,a.numIconVertices,I),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var P=L?De:C;d(e.icon,a.numVerticalIconVertices,P),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var z=e.collisionArrays[n];if(z){var O=new t.Point(0,0);if(z.textBox||z.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[m];R?(O=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&O._rotate(h?i.transform.angle:-i.transform.angle)):D=!1}z.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||b,O.x,O.y),z.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||w,O.x,O.y)}var F=Boolean(!w&&z.verticalIconBox);z.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,f?O.x:0,f?O.y:0),z.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,f?O.x:0,f?O.y:0)}}},g=0;g<e.symbolInstances.length;g++)m(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Ce=Math.pow(2,17),Le=Math.pow(2,16),Ie=Math.pow(2,9),Pe=Math.pow(2,8),ze=Math.pow(2,1);function Oe(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*Se+e*Ee+r*Ce+e*Le+r*Ie+e*Pe+r*ze+e}var De=0,Re=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var h=e.symbolInstances.get(u);h.crossTileID||(h.crossTileID=r.generate(),i[h.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.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 qe=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},He=t.pick(qt,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(qt,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ze=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),We=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new f,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(Ze,!1)},r.prototype._load=function(e,r){if(!r||!qe(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,h=l.x,f=l.y,p=l.sdf,d=l.pixelRatio,m=l.stretchX,g=l.stretchY,y=l.content,v=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,v,{x:h,y:f},{x:0,y:0},{width:c,height:u}),r[s]={data:v,pixelRatio:d,sdf:p,stretchX:m,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}var l={};for(var c in this.sourceCaches){var u=this.sourceCaches[c];l[c]=u.used,u.used=!1}for(var h=0,f=this._order;h<f.length;h+=1){var p=f[h],d=this._layers[p];d.recalculate(e,this._availableImages),!d.isHidden(e.zoom)&&d.source&&(this.sourceCaches[d.source].used=!0)}for(var m in l){var g=this.sourceCaches[m];l[m]!==g.used&&g.fire(new t.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:m}))}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),qe(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Jt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in He)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._afterImageUpdated(e)},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._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Pt(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(qe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is required to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,h=c;u<h.length;u+=1){var f=h[u];i.push(f)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var m=this._order[d];if(r(m))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var v=0,x=t;v<x.length;v+=1){var _=x[v][m];if(_)for(var b=0,w=_;b<w.length;b+=1){var T=w[b];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(B(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,h=Object.keys(l).map(Number);u<h.length;u+=1){var f=h[u];c.push(o[f])}c.sort(N);for(var p=function(){var r=m[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,h=c;u<h.length;u+=1){var f=h[u];o.push(f)}}},d=0,m=c;d<m.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&qe(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var h=u[c],f=this._layers[h];if(\"symbol\"===f.type){if(!l[f.source]){var p=this.sourceCaches[f.source];l[f.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(f,l[f.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var m=0,g=this._order;m<g.length;m+=1){var y=g[m],v=this._layers[y];\"symbol\"===v.type&&this.placement.updateLayerOpacities(v,l[v.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);We.getSourceType=function(t){return R[t]},We.setSourceType=function(t,e){R[t]=e},We.registerForPluginStateChange=t.registerForPluginStateChange;var Ye=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Xe=br(\"#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;}\"),$e=br(\"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=br(\"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);}\"),Ke=br(\"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);}\"),Qe=br(\"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);}\"),tr=br(\"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;}\"),er=br(\"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;}\"),rr=br(\"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;}\"),nr=br(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),ir=br(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),ar=br(\"#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);}\"),or=br(\"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;}\"),sr=br(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),lr=br(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),cr=br(\"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;}\"),ur=br(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),hr=br(\"#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 vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,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;}\"),fr=br(\"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;}\"),pr=br(\"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);}\"),dr=br(\"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 vec2 v_uv;\\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,v_uv);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;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\\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;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);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);}\"),mr=br(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),gr=br(\"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);}\"),yr=br(\"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;}\"),vr=br(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),xr=br(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),_r=br(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function br(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n=e.match(/attribute ([\\w]+) ([\\w]+)/g),i=t.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),a=e.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a=\"float\"===n?\"vec2\":\"vec4\",o=i.match(/color/)?\"color\":a;return s[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Xe,background:$e,backgroundPattern:Je,circle:Ke,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:cr,fillExtrusionPattern:ur,hillshadePrepare:hr,hillshade:fr,line:pr,lineGradient:dr,linePattern:mr,lineSDF:gr,raster:yr,symbolIcon:vr,symbolSDF:xr,symbolTextAndIcon:_r}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r<t.length;r++)if(null!==t[r]){var n=t[r].split(\" \");e.push(n.pop())}return e}Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var 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);a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,m=r;d<m.length;d+=1){var g=m[d];g.bind(),g.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var Ar=function(t,e,r,n,i,a){var o=t.gl;this.program=o.createProgram();for(var s=kr(r.staticAttributes),l=n?n.getBinderAttributes():[],c=s.concat(l),u=r.staticUniforms?kr(r.staticUniforms):[],h=n?n.getBinderUniforms():[],f=[],p=0,d=u.concat(h);p<d.length;p+=1){var m=d[p];f.indexOf(m)<0&&f.push(m)}var g=n?n.defines():[];a&&g.push(\"#define OVERDRAW_INSPECTOR;\");var y=g.concat(Xe.fragmentSource,r.fragmentSource).join(\"\\n\"),v=g.concat(Xe.vertexSource,r.vertexSource).join(\"\\n\"),x=o.createShader(o.FRAGMENT_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(x,y),o.compileShader(x),o.attachShader(this.program,x);var _=o.createShader(o.VERTEX_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(_,v),o.compileShader(_),o.attachShader(this.program,_),this.attributes={};var b={};this.numAttributes=c.length;for(var w=0;w<this.numAttributes;w++)c[w]&&(o.bindAttribLocation(this.program,w,c[w]),this.attributes[c[w]]=w);o.linkProgram(this.program),o.deleteShader(_),o.deleteShader(x);for(var T=0;T<f.length;T++){var k=f[T];if(k&&!b[k]){var A=o.getUniformLocation(this.program,k);A&&(b[k]=A)}}this.fixedUniforms=i(t,b),this.binderUniforms=n?n.getUniforms(t,b):[]}}};function Mr(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m){var g,y=t.gl;if(!this.failedToCreate){for(var v in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[v].set(o[v]);p&&p.setUniforms(t,this.binderUniforms,h,{zoom:f});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],_=0,b=u.get();_<b.length;_+=1){var w=b[_],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,m),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Cr=function(t){return{u_matrix:t}},Lr=function(e,r,n,i){return t.extend(Cr(e),Mr(n,r,i))},Ir=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Lr(e,r,n,i),{u_world:a})},zr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Or=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}},jr=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,c,u,h=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),h),u_image:0,u_latrange:(l=r.tileID,c=Math.pow(2,l.canonical.z),u=l.canonical.y,[new t.MercatorCoordinate(0,u/c).toLngLat().lat,new t.MercatorCoordinate(0,(u+1)/c).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Wr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Zr(r,a);return{u_matrix:Wr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Zr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),h=s.getDash(i.to,c),f=u.width*a.fromScale,p=h.width*a.toScale;return t.extend(Vr(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:a.t})};function Zr(t,e){return 1/ge(t,1,e.tileZoom)}function Wr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Yr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Xr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Xr(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 $r,Jr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Kr=function(e,r,n,i,a,o,s,l,c,u,h){var f=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(f._pitch)*f.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+h})},Qr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Kr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,h=u*(n.tileID.canonical.x+n.tileID.wrap*c),f=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[h>>16,f>>16],u_pixel_coord_lower:[65535&h,65535&f]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image),u_image_height:new t.Uniform1f(e,r.u_image_height)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function nn(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),h=[],f=0,p=0,d=0;d<i.length;d++){var m=i[d],g=r.getTile(m),y=g.getBucket(n);if(y){var v=m.posMatrix;0===a[0]&&0===a[1]||(v=e.translatePosMatrix(m.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,_=y.collisionCircleArray;if(_.length>0){var b=t.create(),w=v;t.mul(b,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(b,b,y.placementViewportMatrix),h.push({circleArray:_,circleOffset:p,transform:w,invTransform:b}),p=f+=_.length/4}x&&u.draw(l,c.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Lt.disabled,Or(v,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&h.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*f),k._trim();for(var A=0,M=0,S=h;M<S.length;M+=1)for(var E=S[M],C=0;C<E.circleArray.length/4;C++){var L=4*C,I=E.circleArray[L+0],P=E.circleArray[L+1],z=E.circleArray[L+2],O=E.circleArray[L+3];k.emplace(A++,I,P,z,O,0),k.emplace(A++,I,P,z,O,1),k.emplace(A++,I,P,z,O,2),k.emplace(A++,I,P,z,O,3)}(!$r||$r.length<2*f)&&($r=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(f));for(var D=l.createIndexBuffer($r,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=h;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Lt.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var an=t.identity(new Float32Array(16));function on(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function sn(e,r,n,i,a,o,s,l,c,u,h){var f=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,m={};p.clear();for(var g=0;g<f.length;g++){var y=f.get(g),v=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||v?null:i[y.crossTileID];if(x){var _=new t.Point(y.anchorX,y.anchorY),b=re(_,n?l:s),w=ne(o.cameraToCenterDistance,b.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=on(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(_.add(M),s).point:b.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,C=0;C<y.numGlyphs;C++)t.addDynamicAttributes(p,S,E);h&&y.associatedIconIndex>=0&&(m[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else fe(y.numGlyphs,p)}if(h){d.clear();for(var L=e.icon.placedSymbolArray,I=0;I<L.length;I++){var P=L.get(I);if(P.hidden)fe(P.numGlyphs,d);else{var z=m[I];if(z)for(var O=0;O<P.numGlyphs;O++)t.addDynamicAttributes(d,z.shiftedAnchor,z.angle);else fe(P.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function ln(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function cn(e,r,n,i,a,o,s,l,c,u,h,f){for(var p=e.context,d=p.gl,m=e.transform,g=\"map\"===l,y=\"map\"===c,v=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!v,_=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),b=!1,w=e.depthModeForSublayer(0,Mt.ReadOnly),T=n.layout.get(\"text-variable-anchor\"),k=[],A=0,M=i;A<M.length;A+=1){var S=M[A],E=r.getTile(S),C=E.getBucket(n);if(C){var L=a?C.text:C.icon;if(L&&L.segments.get().length){var I=L.programConfigurations.get(n.id),P=a||C.sdfIcons,z=a?C.textSizeData:C.iconSizeData,O=y||0!==m.pitch,D=e.useProgram(ln(P,a,C),I),R=t.evaluateSizeForZoom(z,m.zoom),F=void 0,B=[0,0],N=void 0,j=void 0,U=null,V=void 0;if(a){if(N=E.glyphAtlasTexture,j=d.LINEAR,F=E.glyphAtlasTexture.size,C.iconsInText){B=E.imageAtlasTexture.size,U=E.imageAtlasTexture;var q=\"composite\"===z.kind||\"camera\"===z.kind;V=O||e.options.rotating||e.options.zooming||q?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||C.iconsNeedLinear;N=E.imageAtlasTexture,j=P||e.options.rotating||e.options.zooming||H||O?d.LINEAR:d.NEAREST,F=E.imageAtlasTexture.size}var G=ge(E,1,e.transform.zoom),Z=te(S.posMatrix,y,g,e.transform,G),W=ee(S.posMatrix,y,g,e.transform,G),Y=T&&C.hasTextData(),X=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&C.hasIconData();v&&ae(C,S.posMatrix,e,a,Z,W,y,u);var $=e.translatePosMatrix(S.posMatrix,E,o,s),J=v||a&&T||X?an:Z,K=e.translatePosMatrix(W,E,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),tt={program:D,buffers:L,uniformValues:P?C.iconsInText?Qr(z.kind,R,x,y,e,$,J,K,F,B):Kr(z.kind,R,x,y,e,$,J,K,a,F,!0):Jr(z.kind,R,x,y,e,$,J,K,a,F),atlasTexture:N,atlasTextureIcon:U,atlasInterpolation:j,atlasInterpolationIcon:V,isSDF:P,hasHalo:Q};if(_&&C.canOverlap){b=!0;for(var et=0,rt=L.segments.get();et<rt.length;et+=1){var nt=rt[et];k.push({segments:new t.SegmentVector([nt]),sortKey:nt.sortKey,state:tt})}}else k.push({segments:L.segments,sortKey:0,state:tt})}}}b&&k.sort((function(t,e){return t.sortKey-e.sortKey}));for(var it=0,at=k;it<at.length;it+=1){var ot=at[it],st=ot.state;if(p.activeTexture.set(d.TEXTURE0),st.atlasTexture.bind(st.atlasInterpolation,d.CLAMP_TO_EDGE),st.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),st.atlasTextureIcon&&st.atlasTextureIcon.bind(st.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),st.isSDF){var lt=st.uniformValues;st.hasHalo&&(lt.u_is_halo=1,un(st.buffers,ot.segments,n,e,st.program,w,h,f,lt)),lt.u_is_halo=0}un(st.buffers,ot.segments,n,e,st.program,w,h,f,st.uniformValues)}}function un(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Lt.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function hn(t,e,r,n,i,a,o){var s,l,c,u,h,f=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),m=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=f.LINES):(l=d?\"fillPattern\":\"fill\",s=f.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var v=y[g],x=e.getTile(v);if(!d||x.patternsLoaded()){var _=x.getBucket(r);if(_){var b=_.programConfigurations.get(r.id),w=t.useProgram(l,b);d&&(t.context.activeTexture.set(f.TEXTURE0),x.imageAtlasTexture.bind(f.LINEAR,f.CLAMP_TO_EDGE),b.updatePaintBuffers(m));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&b.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(v.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=_.indexBuffer2,h=_.segments2;var E=[f.drawingBufferWidth,f.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Pr(S,t,m,x,E):Ir(S,E)}else u=_.indexBuffer,h=_.segments,c=d?Lr(S,t,m,x):Cr(S);w.draw(t.context,s,i,t.stencilModeForClipping(v),a,Lt.disabled,c,r.id,_.layoutVertexBuffer,u,h,r.paint,t.transform.zoom,b)}}}}function fn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),h=r.getCrossfadeParameters(),f=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var m=d[p],g=e.getTile(m),y=g.getBucket(r);if(y){var v=y.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",v);u&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),v.updatePaintBuffers(h));var _=c.constantOr(null);if(_&&g.imageAtlas){var b=g.imageAtlas,w=b.patternPositions[_.to.toString()],T=b.patternPositions[_.from.toString()];w&&T&&v.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(m.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?Er(k,t,A,f,m,h,g):Sr(k,t,A,f);x.draw(s,s.gl.TRIANGLES,i,a,o,Lt.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,v)}}}function pn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=jr(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Lt.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function dn(e,r,n,i,a,o){var s=e.context,l=s.gl,c=r.dem;if(c&&c.data){var u=c.dim,h=c.stride,f=c.getPixels();if(s.activeTexture.set(l.TEXTURE1),s.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var p=r.demTexture;p.update(f,{premultiply:!1}),p.bind(l.NEAREST,l.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(s,f,l.RGBA,{premultiply:!1}),r.demTexture.bind(l.NEAREST,l.CLAMP_TO_EDGE);s.activeTexture.set(l.TEXTURE0);var d=r.fbo;if(!d){var m=new t.Texture(s,{width:u,height:u,data:null},l.RGBA);m.bind(l.LINEAR,l.CLAMP_TO_EDGE),(d=r.fbo=s.createFramebuffer(u,u,!0)).colorAttachment.set(m.texture)}s.bindFramebuffer.set(d.framebuffer),s.viewport.set([0,0,u,u]),e.useProgram(\"hillshadePrepare\").draw(s,l.TRIANGLES,i,a,o,Lt.disabled,Ur(r.tileID,c),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function mn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),h=a.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}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),vn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),_n=new t.Color(0,1,1,1);function bn(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,vn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,_n)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,c=Et.disabled,u=e.colorModeForRenderPass(),h=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Lt.disabled,Rr(o,t.Color.red),h,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,p=f&&f.byteLength||0,d=Math.floor(p/1024),m=r.getTile(n).tileSize,g=512/Math.min(m,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,c,Ct.alphaBlended,Lt.disabled,Rr(o,t.Color.transparent,g),h,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,h=0,f=e;h<f.length;h+=1){var p=f[h],d=i.getTile(p),m=d.getBucket(n);if(m&&m.text&&m.text.segments.get().length){var g=m.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),v=ge(d,1,r.transform.zoom),x=te(p.posMatrix,u,c,r.transform,v),_=\"none\"!==n.layout.get(\"icon-text-fit\")&&m.hasIconData();if(y){var b=Math.pow(2,l.zoom-d.tileID.overscaledZ);sn(m,c,u,s,t.symbolSize,l,x,p.posMatrix,b,y,_)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&cn(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&cn(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(nn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),nn(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,h=e.depthModeForSublayer(0,Mt.ReadOnly),f=Et.disabled,p=e.colorModeForRenderPass(),d=[],m=0;m<i.length;m++){var g=i[m],y=r.getTile(g),v=y.getBucket(n);if(v){var x=v.programConfigurations.get(n.id),_={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:v.layoutVertexBuffer,indexBuffer:v.indexBuffer,uniformValues:zr(e,g,y,n)};if(l)for(var b=0,w=v.segments.get();b<w.length;b+=1){var T=w[b];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:_})}else d.push({segments:v.segments,sortKey:0,state:_})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,C=S.program,L=S.layoutVertexBuffer,I=S.indexBuffer,P=S.uniformValues,z=M.segments;C.draw(c,u.TRIANGLES,h,f,p,Lt.disabled,P,n.id,L,I,z,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Ct([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);(function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var h=r.getTile(u),f=h.getBucket(n);if(f){var p=f.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),m=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Lt.disabled,Br(u.posMatrix,h,m,n.paint.get(\"heatmap-intensity\")),n.id,f.layoutVertexBuffer,f.indexBuffer,f.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(a){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Lt.disabled,Nr(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1))for(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=h?\"linePattern\":c?\"lineSDF\":f?\"lineGradient\":\"line\",m=e.context,g=m.gl,y=!0,v=0,x=i;v<x.length;v+=1){var _=x[v],b=r.getTile(_);if(!h||b.patternsLoaded()){var w=b.getBucket(n);if(w){var T=w.programConfigurations.get(n.id),k=e.context.program.get(),A=e.useProgram(d,T),M=y||A.program!==k,S=u.constantOr(null);if(S&&b.imageAtlas){var E=b.imageAtlas,C=E.patternPositions[S.to.toString()],L=E.patternPositions[S.from.toString()];C&&L&&T.setConstantPatternPositions(C,L)}var I=h?Hr(e,b,n,p):c?Gr(e,b,n,c,p):f?qr(e,b,n,w.lineClipsArray.length):Vr(e,b,n);if(h)m.activeTexture.set(g.TEXTURE0),b.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),T.updatePaintBuffers(p);else if(c&&(M||e.lineAtlas.dirty))m.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(m);else if(f){var P=w.gradients[n.id],z=P.texture;if(n.gradientVersion!==P.version){var O=256;if(n.stepInterpolant){var D=r.getSource().maxzoom,R=_.canonical.z===D?Math.ceil(1<<e.transform.maxZoom-_.canonical.z):1,F=w.maxLineLength/t.EXTENT*1024*R;O=t.clamp(t.nextPowerOfTwo(F),256,m.maxTextureSize)}P.gradient=t.renderColorRamp({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:O,image:P.gradient||void 0,clips:w.lineClipsArray}),P.texture?P.texture.update(P.gradient):P.texture=new t.Texture(m,P.gradient,g.RGBA),P.version=n.gradientVersion,z=P.texture}m.activeTexture.set(g.TEXTURE0),z.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}A.draw(m,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Lt.disabled,I,n.id,w.layoutVertexBuffer,w.indexBuffer,w.segments,n.paint,e.transform.zoom,T,w.layoutVertexBuffer2),y=!1}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);hn(e,r,n,i,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);hn(e,r,n,i,h,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))fn(t,e,r,n,a,Et.disabled,Ct.disabled),fn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();fn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=t.depthModeForSublayer(0,Mt.ReadOnly),o=t.colorModeForRenderPass(),s=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],l=s[0],c=0,u=s[1];c<u.length;c+=1){var h=u[c],f=e.getTile(h);f.needsHillshadePrepare&&\"offscreen\"===t.renderPass?dn(t,f,r,a,Et.disabled,o):\"translucent\"===t.renderPass&&pn(t,f,r,a,l[h.overscaledZ],o)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof z?[{},n]:t.stencilConfigForOverlap(n),u=c[0],h=c[1],f=h[h.length-1].overscaledZ,p=!t.options.moving,d=0,m=h;d<m.length;d+=1){var g=m[d],y=t.depthModeForSublayer(g.overscaledZ-f,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),v=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);v.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var _=e.findLoadedParent(g,0),b=mn(v,_,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),v.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),_?(_.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,_.tileID.overscaledZ-v.tileID.overscaledZ),T=[v.tileID.canonical.x*w%1,v.tileID.canonical.y*w%1]):v.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Yr(x,T||[0,0],w||1,b,r);o instanceof z?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Lt.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,u[g.overscaledZ],l,Lt.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var h=Et.disabled,f=t.depthModeForSublayer(0,\"opaque\"===u?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),m=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,v=m;y<v.length;y+=1){var x=v[y],_=t.transform.calculatePosMatrix(x.toUnwrapped()),b=c?en(_,i,t,c,{tileID:x,tileSize:l},g):tn(_,i,n);d.draw(a,o.TRIANGLES,f,h,p,Lt.disabled,b,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)An(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Sn=function(t,e){this.context=new It(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Pt.maxUnderzooming+Pt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Sn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Sn.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,Ye.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,Ye.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ye.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Sn.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,Ct.disabled,Lt.disabled,Fr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Sn.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(Ct.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Ct.disabled,Lt.disabled,Fr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Sn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Sn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Ct([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Ct.unblended:Ct.alphaBlended},Sn.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])},Sn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Sn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},h={},f={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),h[p]=u[p].slice().reverse(),f[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var m=0;m<i.length;m++){var g=i[m];if(this.style._layers[g].is3D()){this.opaquePassCutoff=m;break}}this.renderPass=\"offscreen\";for(var y=0,v=i;y<v.length;y+=1){var x=v[y],_=this.style._layers[x];if(_.hasOffscreenPass()&&!_.isHidden(this.transform.zoom)){var b=h[_.source];(\"custom\"===_.type||b.length)&&this.renderLayer(this,a[_.source],_,b)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?f:h)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&Mn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&bn(this),this.context.setDefault()},Sn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),Mn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Sn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Sn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Sn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Sn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Sn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},Sn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Sn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Sn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Sn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.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()},Sn.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)},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var Cn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Cn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Cn(n,i)},Cn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Cn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Cn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,h=0;h<e.points.length;h++){var f=e.points[h][l]-this.min[l];c=Math.min(c,f),u=Math.max(u,f)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var Ln=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};Ln.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},Ln.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},Ln.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Ln.prototype.clone=function(){return new Ln(this.top,this.bottom,this.left,this.right)},Ln.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var In=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Ln,this._posMatrixCache={},this._alignedPosMatrixCache={}},Pn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};In.prototype.clone=function(){var t=new In(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Pn.minZoom.get=function(){return this._minZoom},Pn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Pn.maxZoom.get=function(){return this._maxZoom},Pn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Pn.minPitch.get=function(){return this._minPitch},Pn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Pn.maxPitch.get=function(){return this._maxPitch},Pn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Pn.renderWorldCopies.get=function(){return this._renderWorldCopies},Pn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Pn.worldSize.get=function(){return this.tileSize*this.scale},Pn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Pn.size.get=function(){return new t.Point(this.width,this.height)},Pn.bearing.get=function(){return-this.angle/Math.PI*180},Pn.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))},Pn.pitch.get=function(){return this._pitch/Math.PI*180},Pn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Pn.fov.get=function(){return this._fov/Math.PI*180},Pn.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())},Pn.zoom.get=function(){return this._zoom},Pn.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())},Pn.center.get=function(){return this._center},Pn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Pn.padding.get=function(){return this._edgeInsets.toJSON()},Pn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Pn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},In.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},In.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},In.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},In.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},In.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Cn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],h=[],f=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var m=u.pop(),g=m.x,y=m.y,v=m.fullyVisible;if(!v){var x=m.aabb.intersects(s);if(0===x)continue;v=2===x}var _=m.aabb.distanceX(o),b=m.aabb.distanceY(o),w=Math.max(Math.abs(_),Math.abs(b)),T=3+(1<<f-m.zoom)-2;if(m.zoom===f||w>T&&m.zoom>=l)h.push({tileID:new t.OverscaledTileID(m.zoom===f?p:m.zoom,m.wrap,m.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);u.push({aabb:m.aabb.quadrant(k),zoom:m.zoom+1,x:A,y:M,wrap:m.wrap,fullyVisible:v})}}return h.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},In.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Pn.unmodified.get=function(){return this._unmodified},In.prototype.zoomScale=function(t){return Math.pow(2,t)},In.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},In.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)},In.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Pn.point.get=function(){return this.project(this.center)},In.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},In.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},In.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},In.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},In.prototype.coordinateLocation=function(t){return t.toLngLat()},In.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,h=n[2]/a,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)},In.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])},In.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)))},In.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},In.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])},In.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},In.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},In.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var h=this.latRange;a=t.mercatorYfromLat(h[1])*this.worldSize,e=(o=t.mercatorYfromLat(h[0])*this.worldSize)-a<c.y?c.y/(o-a):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+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var m=p.y,g=c.y/2;m-g<a&&(i=a+g),m+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,v=c.x/2;y-v<s&&(n=s+v),y+v>l&&(n=l-v)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},In.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,h=new Float64Array(16);t.perspective(h,this._fov,this.width/this.height,u,c),h[8]=2*-r.x/this.width,h[9]=2*r.y/this.height,t.scale(h,h,[1,-1,1]),t.translate(h,h,[0,0,-this.cameraToCenterDistance]),t.rotateX(h,h,this._pitch),t.rotateZ(h,h,this.angle),t.translate(h,h,[-s,-l,0]),this.mercatorMatrix=t.scale([],h,[this.worldSize,this.worldSize,this.worldSize]),t.scale(h,h,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=h,this.invProjMatrix=t.invert([],this.projMatrix);var f=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),m=Math.sin(this.angle),g=s-Math.round(s)+d*f+m*p,y=l-Math.round(l)+d*p+m*f,v=new Float64Array(h);if(t.translate(v,v,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=v,h=t.create(),t.scale(h,h,[this.width/2,-this.height/2,1]),t.translate(h,h,[1,-1,0]),this.labelPlaneMatrix=h,h=t.create(),t.scale(h,h,[1,-1,1]),t.translate(h,h,[-1,-1,0]),t.scale(h,h,[2/this.width,2/this.height,1]),this.glCoordMatrix=h,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(h=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=h,this._posMatrixCache={},this._alignedPosMatrixCache={}}},In.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},In.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},In.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(In.prototype,Pn);var zn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};zn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},zn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},zn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var h=this._hashName,f=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===h?(f=!0,e+\"=\"+u):t})).filter((function(t){return t}));return f||p.push(h+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},zn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},zn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},zn.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var On={linearity:.3,easing:t.bezier(0,0,.3,1)},Dn=t.extend({deceleration:2500,maxSpeed:1400},On),Rn=t.extend({deceleration:20,maxSpeed:1400},On),Fn=t.extend({deceleration:1e3,maxSpeed:360},On),Bn=t.extend({deceleration:1e3,maxSpeed:90},On),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Un(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Nn.prototype.clear=function(){this._inertiaBuffer=[]},Nn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Nn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Un(r.pan.mag(),o,t.extend({},Dn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,jn(s,l)}if(r.zoom){var c=Un(r.zoom,o,Rn);s.zoom=this._map.transform.zoom+c.amount,jn(s,c)}if(r.bearing){var u=Un(r.bearing,o,Fn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),jn(s,u)}if(r.pitch){var h=Un(r.pitch,o,Bn);s.pitch=this._map.transform.pitch+h.amount,jn(s,h)}if(s.zoom||s.bearing){var f=void 0===r.pinchAround?r.around:r.pinchAround;s.around=f?this._map.unproject(f):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Vn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),qn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=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),Gn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Gn.prototype.reset=function(){delete this._mousedownPos},Gn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},Gn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseup=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Zn=function(t){this._map=t};Zn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Zn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Zn.prototype.mousedown=function(){this._delayContextMenu=!0},Zn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Zn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Zn.prototype.isEnabled=function(){return!0},Zn.prototype.isActive=function(){return!1},Zn.prototype.enable=function(){},Zn.prototype.disable=function(){};var Wn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Yn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Wn.prototype.isEnabled=function(){return!!this._enabled},Wn.prototype.isActive=function(){return!!this._active},Wn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Wn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Wn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Wn.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Wn.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Wn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Wn.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Wn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Xn=function(t){this.reset(),this.numTouches=t.numTouches};Xn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Xn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Yn(n,r)))},Xn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Yn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Xn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var $n=function(t){this.singleTap=new Xn(t),this.numTaps=t.numTaps,this.reset()};$n.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},$n.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},$n.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},$n.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new $n({numTouches:1,numTaps:2}),this._zoomOut=new $n({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn={};Kn[0]=1,Kn[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=Kn[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)<this._clickTolerance))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Qn.prototype.mouseupWindow=function(t){this._lastPoint&&r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Qn.prototype.enable=function(){this._enabled=!0},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Qn),ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ni=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ni.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ni.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ni.prototype.touchmove=function(t,e,r){if(this._active&&!(r.length<this._minTouches))return t.preventDefault(),this._calculateTransform(t,e,r)},ni.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ni.prototype.touchcancel=function(){this.reset()},ni.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Yn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var h=o.div(s);if(this._sum._add(h),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:h}}},ni.prototype.enable=function(){this._enabled=!0},ni.prototype.disable=function(){this._enabled=!1,this.reset()},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var ii=function(){this.reset()};function ai(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ii.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ii.prototype._start=function(t){},ii.prototype._move=function(t,e,r){return{}},ii.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},ii.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ai(r,e,i),s=ai(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ii.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ai(n,e,a),l=ai(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ii.prototype.touchcancel=function(){this.reset()},ii.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},ii.prototype.disable=function(){this._enabled=!1,this.reset()},ii.prototype.isEnabled=function(){return this._enabled},ii.prototype.isActive=function(){return this._active};function oi(t,e){return Math.log(t/e)/Math.LN2}var si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(oi(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:oi(this._distance,r),pinchAround:e}},e}(ii);function li(t,e){return 180*t.angleWith(e)/Math.PI}var ci=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:li(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=li(t,this._startVector);return Math.abs(r)<e},e}(ii);function ui(t){return Math.abs(t.y)>Math.abs(t.x)}var hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ui(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ui(t)&&ui(e)&&a}},e}(ii),fi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=fi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:di,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var mi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onTimeout\"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%mi==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},gi.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},gi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},gi.prototype.renderFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>mi?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var h=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),f=c(h);o=t.number(l,s,f),h<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var vi=function(){this.reset()};vi.prototype.reset=function(){this._active=!1},vi.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},vi.prototype.enable=function(){this._enabled=!0},vi.prototype.disable=function(){this._enabled=!1,this.reset()},vi.prototype.isEnabled=function(){return this._enabled},vi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new $n({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},xi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},xi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var _i=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};_i.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},_i.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},_i.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},_i.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var bi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};bi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},bi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},bi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},bi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!0}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};Mi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},Mi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Gn(e,t));var n=e.boxZoom=new Wn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new vi;e.doubleClickZoom=new yi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new xi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new hi;this._add(\"touchPitch\",s);var l=new ei(t),c=new ri(t);e.dragRotate=new bi(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new ti(t),h=new ni(t);e.dragPan=new _i(r,u,h),this._add(\"mousePan\",u),this._add(\"touchPan\",h,[\"touchZoom\",\"touchRotate\"]);var f=new ci,p=new si;e.touchZoomRotate=new wi(r,p,f,o),this._add(\"touchRotate\",f,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new gi(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var m=e.keyboard=new pi;this._add(\"keyboard\",m),this._add(\"blockableMapEvent\",new Zn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var v=y[g];t.interactive&&t[v]&&e[v].enable(t[v])}},Mi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},Mi.prototype.stop=function(t){if(!this._updatingCamera){for(var e=0,r=this._handlers;e<r.length;e+=1)r[e].handler.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}},Mi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},Mi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},Mi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},Mi.prototype.isMoving=function(){return Boolean(Ti(this._eventsInProgress))||this.isZooming()},Mi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},Mi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},Mi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},Mi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var h=u[c],f=h.handlerName,p=h.handler,d=h.allowed;if(p.isEnabled()){var m=void 0;this._blockedByActive(o,d,f)?p.reset():p[e||t.type]&&(m=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,m,f,n),m&&m.needsRenderFrame&&this._triggerRenderFrame()),(m||p.isActive())&&(o[f]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ai(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ai(i))&&this._map._stop(!0),this._updatingCamera=!1;var v=i.cameraAnimation;v&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],v(this._map))}else this.stop(!0)},Mi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},Mi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},Mi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ai(t))return this._fireEvents(e,r,!0);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var h=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(h,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,!0)},Mi.prototype._fireEvents=function(e,r,n){var i=this,a=Ti(this._eventsInProgress),o=Ti(e),s={};for(var l in e){var c=e[l].originalEvent;this._eventsInProgress[l]||(s[l+\"start\"]=c),this._eventsInProgress[l]=e[l]}for(var u in!a&&o&&this._fireEvent(\"movestart\",o.originalEvent),s)this._fireEvent(u,s[u]);for(var h in o&&this._fireEvent(\"move\",o.originalEvent),e){var f=e[h].originalEvent;this._fireEvent(h,f)}var p,d={};for(var m in this._eventsInProgress){var g=this._eventsInProgress[m],y=g.handlerName,v=g.originalEvent;this._handlersById[y].isActive()||(delete this._eventsInProgress[m],p=r[y]||v,d[m+\"end\"]=p)}for(var x in d)this._fireEvent(x,d[x]);var _=Ti(this._eventsInProgress);if(n&&(a||o)&&!_){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),w=function(t){return 0!==t&&-i._bearingSnap<t&&t<i._bearingSnap};b?(w(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:p})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:p})),w(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},Mi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},Mi.prototype._requestFrame=function(){var t=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add((function(e){delete t._frameId,t.handleEvent(new ki(\"renderFrame\",{timeStamp:e})),t._applyChanges()}))},Mi.prototype._triggerRenderFrame=function(){void 0===this._frameId&&(this._frameId=this._requestFrame())};var Si=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){e=t.LngLatBounds.convert(e);var n=r&&r.bearing||0;return this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),n,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),h=c.rotate(-n*Math.PI/180),f=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(h.x,f.x),Math.max(h.y,f.y)),d=new t.Point(Math.min(h.x,f.x),Math.min(h.y,f.y)),m=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/m.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/m.y;if(!(y<0||g<0)){var v=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=\"number\"==typeof i.offset.x?new t.Point(i.offset.x,i.offset.y):t.Point.convert(i.offset),_=(i.padding.left-i.padding.right)/2,b=(i.padding.top-i.padding.bottom)/2,w=new t.Point(_,b).rotate(n*Math.PI/180),T=x.add(w).mult(s.scale/s.zoomScale(v));return{center:s.unproject(c.add(u).div(2).sub(T)),zoom:v,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,h=\"pitch\"in e?+e.pitch:s,f=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),m=i.pointLocation(d),g=t.LngLat.convert(e.center||m);this._normalizeCenter(g);var y,v,x=i.project(m),_=i.project(g).sub(x),b=i.zoomScale(c-a);e.around&&(y=t.LngLat.convert(e.around),v=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||h!==s,this._padding=!i.isPaddingEqual(f),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,h,e)),n._padding&&(i.interpolatePadding(l,f,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,v);else{var m=i.zoomScale(i.zoom-a),g=c>a?Math.min(2,b):Math.max(.5,b),w=Math.pow(g,1-e),T=i.unproject(x.add(_.mult(e*w)).mult(m));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,h=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,f=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),m=t.Point.convert(e.offset),g=a.centerPoint.add(m),y=a.pointLocation(g),v=t.LngLat.convert(e.center||y);this._normalizeCenter(v);var x=a.project(y),_=a.project(v).sub(x),b=e.curve,w=Math.max(a.width,a.height),T=w/d,k=_.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);b=Math.sqrt(M/k*2)}var S=b*b;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function C(t){return(Math.exp(t)-Math.exp(-t))/2}function L(t){return(Math.exp(t)+Math.exp(-t))/2}var I=E(0),P=function(t){return L(I)/L(I+b*t)},z=function(t){return w*((L(I)*(C(e=I+b*t)/L(e))-C(I))/S)/k;var e},O=(E(1)-I)/b;if(Math.abs(k)<1e-6||!isFinite(O)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;O=Math.abs(Math.log(T/w))/b,z=function(){return 0},P=function(t){return Math.exp(D*b*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/b:+e.speed;e.duration=1e3*O/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==h,this._pitching=f!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*O,d=1/P(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,h,e)),n._pitching&&(a.pitch=t.number(l,f,e)),n._padding&&(a.interpolatePadding(c,p,e),g=a.centerPoint.add(m));var y=1===e?v:a.unproject(x.add(_.mult(z(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!1)}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),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Ei.prototype.getDefaultPosition=function(){return\"bottom-right\"},Ei.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._compactButton=r.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),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},Ei.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString(\"AttributionControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains(\"mapboxgl-compact-show\")?(this._container.classList.remove(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"false\")):(this._container.classList.add(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"true\"))},Ei.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\",this._setElementTitle(e,\"MapFeedback\")}},Ei.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"visibility\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ei.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var Ci=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Ci.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},Ci.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Ci.prototype.getDefaultPosition=function(){return\"bottom-left\"},Ci.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Ci.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}},Ci.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 Li=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Li.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Li.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},Li.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},Li.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ii={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},Pi=t.window.HTMLImageElement,zi=t.window.HTMLElement,Oi=t.window.ImageBitmap,Di=60,Ri={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Di,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Fi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Ri,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>Di)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new In(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new Li,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ii,e.locale),this._clickTolerance=e.clickTolerance,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 zi))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\",\"_onMapScroll\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1),t.window.addEventListener(\"orientationchange\",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new zn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ei({customAttribution:e.customAttribution})),this.addControl(new Ci,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&(r=e.getDefaultPosition?e.getDefaultPosition():\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.hasControl=function(t){return this._controls.indexOf(t)>-1},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?Di:t)>Di)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Vn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new We(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new We(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof Pi||Oi&&r instanceof Oi){var c=t.browser.getImageData(r),u=c.width,h=c.height,f=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:h},f),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,m=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(m)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof Pi||Oi&&r instanceof Oi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof Pi||Oi&&r instanceof Oi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\"),this._canvas.setAttribute(\"role\",\"region\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new Sn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype._onMapScroll=function(t){if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var h=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:h,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var f=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(f);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}var p=this._sourcesDirty||this._styleDirty||this._placementDirty;return p||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event(\"idle\")),!this._loaded||this._fullyLoaded||p||(this._fullyLoaded=!0),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"orientationchange\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext&&n.loseContext(),Bi(this._canvasContainer),Bi(this._controlContainer),Bi(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Si);function Bi(t){t.parentNode&&t.parentNode.removeChild(t)}var Ni={showCompass:!0,showZoom:!0,visualizePitch:!1},ji=function(e){var n=this;this.options=t.extend({},Ni,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};ji.prototype._updateZoomButtons=function(){var t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute(\"aria-disabled\",e.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",r.toString())},ji.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},ji.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ui(this._map,this._compass,this.options.visualizePitch)),this._container},ji.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},ji.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},ji.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ui=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new ei({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ri({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Vi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ui.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ui.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ui.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ui.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var qi={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 Hi(t,e,r){var n=t.classList;for(var i in qi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Gi,Zi=function(e){function n(n,i){if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._scale=n&&n.scale||1,this._draggable=n&&n.draggable||!1,this._clickTolerance=n&&n.clickTolerance||0,this._isDragging=!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var a=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");a.setAttributeNS(null,\"display\",\"block\"),a.setAttributeNS(null,\"height\",\"41px\"),a.setAttributeNS(null,\"width\",\"27px\"),a.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 m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"opacity\",\"0.25\"),m.setAttributeNS(null,\"fill\",\"#000000\");var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),m.appendChild(g);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");v.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 _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),v.appendChild(x),v.appendChild(_),s.appendChild(l),s.appendChild(p),s.appendChild(m),s.appendChild(y),s.appendChild(v),a.appendChild(s),a.setAttributeNS(null,\"height\",41*this._scale+\"px\"),a.setAttributeNS(null,\"width\",27*this._scale+\"px\"),this._element.appendChild(a),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),Hi(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[r,-1*(24.6+r)],\"bottom-right\":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,qi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){if(!this._isDragging){var r=this._clickTolerance||this._map._clickTolerance;this._isDragging=e.point.dist(this._pointerdownPos)>=r}this._isDragging&&(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._pointerdownPos=null,this._isDragging=!1,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._pointerdownPos=t.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Wi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Yi=0,Xi=!1,$i=function(e){function n(r){e.call(this),this.options=t.extend({},Wi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Gi=\"denied\"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Yi=0,Xi=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&Xi)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Zi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Zi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Yi--,Xi=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Yi>1?(e={maximumAge:6e5,timeout:0},Xi=!0):(e=this.options.positionOptions,Xi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Ji={maxWidth:100,unit:\"metric\"},Ki=function(e){this.options=t.extend({},Ji,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):ta(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?ta(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ta(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ta(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Ki.prototype.getDefaultPosition=function(){return\"bottom-left\"},Ki.prototype._onMove=function(){Qi(this._map,this._container,this.options)},Ki.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},Ki.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Ki.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=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\")};ea.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},ea.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 ra={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\"},na=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=aa(this.options.offset);if(!a){var s,l=this._container.offsetWidth,c=this._container.offsetHeight;s=i.y+o.bottom.y<c?[\"top\"]:i.y>this._map.transform.height-c?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var u=i.add(o[a]).round();r.setTransform(this._container,qi[a]+\" translate(\"+u.x+\"px,\"+u.y+\"px)\"),Hi(this._container,a,\"popup\")}},n.prototype._focusFirstElement=function(){if(this.options.focusAfterOpen&&this._container){var t=this._container.querySelector(na);t&&t.focus()}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function aa(e){if(e){if(\"number\"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),\"top-left\":new t.Point(r,r),\"top-right\":new t.Point(-r,r),bottom:new t.Point(0,-e),\"bottom-left\":new t.Point(r,-r),\"bottom-right\":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,\"top-left\":n,\"top-right\":n,bottom:n,\"bottom-left\":n,\"bottom-right\":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),\"top-left\":t.Point.convert(e[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(e[\"top-right\"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),\"bottom-left\":t.Point.convert(e[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(e[\"bottom-right\"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return aa(new t.Point(0,0))}var oa={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Fi,NavigationControl:ji,GeolocateControl:$i,AttributionControl:Ei,ScaleControl:Ki,FullscreenControl:ea,Popup:ia,Marker:Zi,Style:We,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Ft.workerCount},set workerCount(t){Ft.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return oa})),r}()},27549:function(t,e,r){\"use strict\";t.exports=r(55366)},55366:function(t,e,r){\"use strict\";var n=r(31625),i=r(75144),a=r(5137),o=r(78112),s=r(6807),l=r(68650),c=r(83473),u=r(60201),h=r(10275),f=r(62914);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,c=t.length/2;l<c;l++)s[2*l]=i((t[2*l]-r)*a,0,1),s[2*l+1]=i((t[2*l+1]-n)*o,0,1);return 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t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},74024:function(t,e,r){\"use strict\";var n=r(59518),i=r(6807),a=r(81330),o=r(38862),s=r(93103),l=r(162),c=r(68950),u=r(66127),h=r(5137),f=r(29388),p=r(4957),d=r(44626),m=r(44431),g=r(27976),y=r(12673),v=r(83473),x=r(54689).nextPow2,_=new s,b=!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&&(b=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=_.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),_.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:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst 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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 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return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign 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t.offset&&(t.offset=[t.offset,0]),this.positionOffset=v(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else{var i=t.style,s=t.weight,l=t.stretch,c=t.variant;t=n.parse(n.stringify(t)),i&&(t.style=i),s&&(t.weight=s),l&&(t.stretch=l),c&&(t.variant=c)}var u=n.stringify({size:T.baseFontSize,family:t.family,stretch:b?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),h=p(t.size),f=Math.round(h[0]*d(h[1]));if(f!==e.fontSize[r]&&(o=!0,e.fontSize[r]=f),!(e.font[r]&&u==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[u],e.font[r]))){var m=t.family.join(\", \"),g=[t.style];t.style!=t.variant&&g.push(t.variant),t.variant!=t.weight&&g.push(t.weight),b&&t.weight!=t.stretch&&g.push(t.stretch),e.font[r]={baseString:u,family:m,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(m,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:g.join(\" \")})},T.fonts[u]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:b?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),f=0;f<s.length;f++)s[f]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var _=1;_<t.text.length;_++)this.textOffsets[_]=this.textOffsets[_-1]+t.text[_-1].length,this.count+=t.text[_].length,this.counts.push(t.text[_].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,m(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var C=0;C<S;C++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var L=u.mallocUint8(this.count),I=u.mallocFloat(2*this.count);this.textWidth=[];for(var P=0,z=0;P<this.counts.length;P++){for(var 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n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,-1*(i+=\"number\"==typeof t?t-n.baseline:-n[t])}))),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 Z=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)H.set(l(Z(W,W+4),\"uint8\"),W)}else{var Y=t.color.length;H=u.mallocUint8(4*Y);for(var X=0;X<Y;X++)H.set(l(t.color[X]||0,\"uint8\"),4*X)}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 $=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array($);for(var J=0;J<this.batch.length;J++)this.batch[J]={count:this.counts.length>1?this.counts[J]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[J]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*J,4*J+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[J]:this.opacity,baseline:null!=this.baselineOffset[J]?this.baselineOffset[J]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[J]?this.alignOffset[J]:this.alignOffset[0]:0,atlas:this.fontAtlas[J]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*J,2*J+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},t.exports=T},38862:function(t,e,r){\"use strict\";var n=r(6807);function 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n=t.segments({inverted:!1,regions:[]}),i=0;i<e.coordinates.length;i++)n=t.selectUnion(t.combine(n,r(e.coordinates[i])));return t.polygon(n)}throw new Error(\"PolyBool: Cannot convert GeoJSON object to PolyBool polygon\")},fromPolygon:function(t,e,r){function n(t,r){return e.pointInsideRegion([.5*(t[0][0]+t[1][0]),.5*(t[0][1]+t[1][1])],r)}function i(t){return{region:t,children:[]}}r=t.polygon(t.segments(r));var a=i(null);function o(t,e){for(var r=0;r<t.children.length;r++)if(n(e,(s=t.children[r]).region))return void o(s,e);var a=i(e);for(r=0;r<t.children.length;r++){var s;n((s=t.children[r]).region,e)&&(a.children.push(s),t.children.splice(r,1),r--)}t.children.push(a)}for(var s=0;s<r.regions.length;s++){var l=r.regions[s];l.length<3||o(a,l)}function c(t,e){for(var r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var u=[];function h(t){var e=[c(t.region,!1)];u.push(e);for(var r=0;r<t.children.length;r++)e.push(f(t.children[r]))}function f(t){for(var e=0;e<t.children.length;e++)h(t.children[e]);return c(t.region,!0)}for(s=0;s<a.children.length;s++)h(a.children[s]);return u.length<=0?{type:\"Polygon\",coordinates:[]}:1==u.length?{type:\"Polygon\",coordinates:u[0]}:{type:\"MultiPolygon\",coordinates:u}}};t.exports=e},26202:function(t,e,r){var n=r(48916);t.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,c=n.other.pt,(0!==(u=e.pointsCompare(a,l))?u:e.pointsSame(o,c)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:c,s?c:l)?1:-1)<0;var i,a,o,s,l,c,u}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,(e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var h=e.linesIntersect(o,s,c,u);if(!1===h){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var f=e.pointsSame(o,c),p=e.pointsSame(s,u);if(f&&p)return n;var d=!f&&e.pointBetween(o,c,u),m=!p&&e.pointBetween(s,c,u);if(f)return m?l(n,s):l(t,u),n;d&&(p||(m?l(n,s):l(t,u)),l(n,o))}else 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y,v,x=g();if(x)t?(v=null===f.seg.myFill.below||f.seg.myFill.above!==f.seg.myFill.below)&&(x.seg.myFill.above=!x.seg.myFill.above):x.seg.otherFill=f.seg.myFill,r&&r.segmentUpdate(x.seg),f.other.remove(),f.remove();if(a.getHead()!==f){r&&r.rewind(f.seg);continue}t?(v=null===f.seg.myFill.below||f.seg.myFill.above!==f.seg.myFill.below,f.seg.myFill.below=m?m.seg.myFill.above:i,f.seg.myFill.above=v?!f.seg.myFill.below:f.seg.myFill.below):null===f.seg.otherFill&&(y=m?f.primary===m.primary?m.seg.otherFill.above:m.seg.myFill.above:f.primary?o:i,f.seg.otherFill={above:y,below:y}),r&&r.status(f.seg,!!d&&d.seg,!!m&&m.seg),f.other.status=p.insert(n.node({ev:f}))}else{var _=f.status;if(null===_)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(_.prev)&&s.exists(_.next)&&u(_.prev.ev,_.next.ev),r&&r.statusRemove(_.ev.seg),_.remove(),!f.primary){var 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},17527:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},3944:function(t,e,r){\"use 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this.big_endian?16777216*r[t]+65536*r[t+1]+256*r[t+2]+r[t+3]:r[t]+256*r[t+1]+65536*r[t+2]+16777216*r[t+3]},n.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},n.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},n.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return this.read_uint32(e);case 9:return 0|this.read_uint32(e);default:return null}},n.prototype.scan_ifd=function(t,n,i){var a=this.read_uint16(n);n+=2;for(var o=0;o<a;o++){var s=this.read_uint16(n),l=this.read_uint16(n+2),c=this.read_uint32(n+4),u=this.exif_format_length(l),h=c*u,f=h<=4?n+8:this.read_uint32(n+8),p=!1;if(f+h>this.input.length)throw 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t&&(t=x[t]),null!=t&&t&&t.count&&t.color&&t.opacity&&t.positions&&t.positions.length>1&&(t.scaleRatio=[t.scale[0]*t.viewport.width,t.scale[1]*t.viewport.height],r(t),t.after&&t.after(t))}function T(t){if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var e=0,r=0;if(_.groups=x=t.map((function(t,c){var u=x[c];return t?(\"function\"==typeof t?t={after:t}:\"number\"==typeof t[0]&&(t={positions:t}),t=o(t,{color:\"color colors fill\",capSize:\"capSize cap capsize cap-size\",lineWidth:\"lineWidth line-width width line thickness\",opacity:\"opacity alpha\",range:\"range dataBox\",viewport:\"viewport viewBox\",errors:\"errors error\",positions:\"positions position data points\"}),u||(x[c]=u={id:c,scale:null,translate:null,scaleFract:null,translateFract:null,draw:!0},t=s({},v,t)),a(u,t,[{lineWidth:function(t){return.5*+t},capSize:function(t){return.5*+t},opacity:parseFloat,errors:function(t){return t=l(t),r+=t.length,t},positions:function(t,r){return t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],\"uint8\");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=h(e.scale),e.translateFract=h(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),u):u})),e||r){var f=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*f),b=new Uint8Array(4*f),w=new Float32Array(4*f);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(b.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=u(g);c(T);var k=h(g,T);p(k),d(b),m(w)}}}function k(){c.destroy(),p.destroy(),d.destroy(),m.destroy(),g.destroy()}};var f=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},49478:function(t,e,r){\"use strict\";var n=r(162),i=r(78112),a=r(27976),o=r(6807),s=r(83473),l=r(25782),c=r(90956),u=r(51498),h=u.float32,f=u.fract32,p=r(93103),d=r(5137),m=r(33055);function g(t,e){if(!(this instanceof g))return new g(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=g.shaders.has(t)?g.shaders.get(t):g.shaders.set(t,g.createShaders(t)).get(t),this.update(e)}t.exports=g,g.dashMult=2,g.maxPatternLength=256,g.precisionThreshold=3e6,g.maxPoints=1e4,g.maxLines=2048,g.shaders=new p,g.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:\"\\nprecision highp float;\\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:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:\"\\nprecision highp float;\\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\\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:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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=i}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:\"\\nprecision highp float;\\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:\"\\nprecision highp float;\\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:i,miter:e}},g.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},g.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()},g.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>g.precisionThreshold||e.scale[1]*e.viewport.height>g.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=g.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},g.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,u=this.gl;if(t.forEach((function(t,p){var y=e.passes[p];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=o(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin join type mode\",miterLimit:\"miterlimit miterLimit\",dashes:\"dash dashes dasharray dash-array dashArray\",color:\"color colour stroke colors colours stroke-color strokeColor\",fill:\"fill fill-color fillColor\",opacity:\"alpha opacity\",overlay:\"overlay crease overlap intersect\",close:\"closed close closed-path closePath\",range:\"range dataBox\",viewport:\"viewport viewBox\",hole:\"holes hole hollow\",splitNull:\"splitNull\"}),y||(e.passes[p]=y={id:p,scale:null,scaleFract:null,translate:null,translateFract:null,count:0,hole:[],depth:0,dashLength:1,dashTexture:r.texture({channels:1,data:new Uint8Array([255]),width:1,height:1,mag:\"linear\",min:\"linear\"}),colorBuffer:r.buffer({usage:\"dynamic\",type:\"uint8\",data:new Uint8Array}),positionBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),positionFractBuffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array})},t=a({},g.defaults,t)),null!=t.thickness&&(y.thickness=parseFloat(t.thickness)),null!=t.opacity&&(y.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(y.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(y.overlay=!!t.overlay,p<g.maxLines&&(y.depth=2*(g.maxLines-1-p%g.maxLines)/g.maxLines-1)),null!=t.join&&(y.join=t.join),null!=t.hole&&(y.hole=t.hole),null!=t.fill&&(y.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(y.viewport=d(t.viewport)),y.viewport||(y.viewport=d([u.drawingBufferWidth,u.drawingBufferHeight])),null!=t.close&&(y.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var v,x;if(t.positions.x&&t.positions.y){var _=t.positions.x,b=t.positions.y;x=y.count=Math.max(_.length,b.length),v=new Float64Array(2*x);for(var w=0;w<x;w++)v[2*w]=_[w],v[2*w+1]=b[w]}else v=s(t.positions,\"float64\"),x=y.count=Math.floor(v.length/2);var T=y.bounds=i(v,2);if(y.fill){for(var k=[],A={},M=0,S=0,E=0,C=y.count;S<C;S++){var L=v[2*S],I=v[2*S+1];isNaN(L)||isNaN(I)||null==L||null==I?(L=v[2*M],I=v[2*M+1],A[S]=M):M=S,k[E++]=L,k[E++]=I}if(t.splitNull){y.count-1 in A||(A[y.count]=y.count-1);var P=Object.keys(A).map(Number).sort((function(t,e){return t-e})),z=[],O=0,D=null!=y.hole?y.hole[0]:null;if(null!=D){var R=m(P,(function(t){return t>=D}));(P=P.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*O,2*P[t]).concat(D?k.slice(2*D):[]),r=(y.hole||[]).map((function(e){return e-D+(P[t]-O)})),n=l(e,r);n=n.map((function(e){return e+O+(e+O<P[t]?0:D-P[t])})),z.push.apply(z,n),O=P[t]+1},B=0;B<P.length;B++)F(B);for(var N=0,j=z.length;N<j;N++)null!=A[z[N]]&&(z[N]=A[z[N]]);y.triangles=z}else{for(var U=l(k,y.hole||[]),V=0,q=U.length;V<q;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);y.triangles=U}}var H=new Float64Array(v);c(H,2,T);var G=new Float64Array(2*x+6);y.close?v[0]===v[2*x-2]&&v[1]===v[2*x-1]?(G[0]=H[2*x-4],G[1]=H[2*x-3]):(G[0]=H[2*x-2],G[1]=H[2*x-1]):(G[0]=H[0],G[1]=H[1]),G.set(H,2),y.close?v[0]===v[2*x-2]&&v[1]===v[2*x-1]?(G[2*x+2]=H[2],G[2*x+3]=H[3],y.count-=1):(G[2*x+2]=H[0],G[2*x+3]=H[1],G[2*x+4]=H[2],G[2*x+5]=H[3]):(G[2*x+2]=H[2*x-2],G[2*x+3]=H[2*x-1],G[2*x+4]=H[2*x-2],G[2*x+5]=H[2*x-1]);var Z=h(G);y.positionBuffer(Z);var W=f(G,Z);y.positionFractBuffer(W)}if(t.range?y.range=t.range:y.range||(y.range=y.bounds),(t.range||t.positions)&&y.count){var Y=y.bounds,X=Y[2]-Y[0],$=Y[3]-Y[1],J=y.range[2]-y.range[0],K=y.range[3]-y.range[1];y.scale=[X/J,$/K],y.translate=[-y.range[0]/J+Y[0]/J||0,-y.range[1]/K+Y[1]/K||0],y.scaleFract=f(y.scale),y.translateFract=f(y.translate)}if(t.dashes){var Q,tt=0;if(!t.dashes||t.dashes.length<2)tt=1,Q=new Uint8Array([255,255,255,255,255,255,255,255]);else{tt=0;for(var et=0;et<t.dashes.length;++et)tt+=t.dashes[et];Q=new Uint8Array(tt*g.dashMult);for(var rt=0,nt=255,it=0;it<2;it++)for(var at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*g.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}y.dashLength=tt,y.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=y.count,ct=t.color;ct||(ct=\"transparent\");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&\"number\"!=typeof ct[0]){for(var ht=0;ht<lt;ht++){var ft=n(ct[ht],\"uint8\");ut.set(ft,4*ht)}ut.set(n(ct[0],\"uint8\"),4*lt)}else for(var pt=n(ct,\"uint8\"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);y.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ut})}}else e.passes[p]=null})),t.length<this.passes.length){for(var p=t.length;p<this.passes.length;p++){var y=this.passes[p];y&&(y.colorBuffer.destroy(),y.positionBuffer.destroy(),y.dashTexture.destroy())}this.passes.length=t.length}for(var v=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&v.push(this.passes[x]);return this.passes=v,this}},g.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},62172:function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){var r=null==t?null:\"undefined\"!=typeof Symbol&&t[Symbol.iterator]||t[\"@@iterator\"];if(null!=r){var n,i,a,o,s=[],l=!0,c=!1;try{if(a=(r=r.call(t)).next,0===e){if(Object(r)!==r)return;l=!1}else for(;!(l=(n=a.call(r)).done)&&(s.push(n.value),s.length!==e);l=!0);}catch(t){c=!0,i=t}finally{try{if(!l&&null!=r.return&&(o=r.return(),Object(o)!==o))return}finally{if(c)throw i}}return s}}(t,e)||i(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function i(t,e){if(t){if(\"string\"==typeof t)return a(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return\"Object\"===r&&t.constructor&&(r=t.constructor.name),\"Map\"===r||\"Set\"===r?Array.from(t):\"Arguments\"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?a(t,e):void 0}}function a(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var o=r(162),s=r(78112),l=r(46762),c=r(27549),u=r(27976),h=r(76765),f=r(6807),p=r(79788),d=r(83473),m=r(39488),g=r(51498),y=r(5137),v=x;function x(t,e){var r=this;if(!(this instanceof x))return new x(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,i=(t=e.regl)._gl,a=[];this.tooManyColors=m,n=t.texture({data:new Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),u(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop(\"elements\"),count:t.prop(\"count\"),offset:t.prop(\"offset\"),primitive:\"points\"},s=u({},o);s.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float opacity;\\nuniform sampler2D markerTexture;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\\n\\n  // max-distance alpha\\n  if (dist < 0.003) discard;\\n\\n  // null-border case\\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\\n  }\\n  else {\\n    float 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=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\n// `invariant` effectively turns off optimizations for the position.\\n// We need this because -fast-math on M1 Macs is re-ordering\\n// floating point operations in a way that causes floating point\\n// precision limits to put points in the wrong locations.\\ninvariant gl_Position;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\\n\"]),this.drawMarker=t(s);var l=u({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\n// `invariant` effectively turns off optimizations for the position.\\n// We need this because -fast-math on M1 Macs is re-ordering\\n// floating point operations in a way that causes floating point\\n// precision limits to put points in the wrong locations.\\ninvariant gl_Position;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),m&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}x.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},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if(\"number\"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(!0===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(r=this.getMarkerDrawOptions(l,o,e))||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t)}(r)||i(r)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}());s.length&&this.drawMarker(s)}},x.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;if(this.regl,!a)return r?[u({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[u({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var h=[],f=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),m=0;m<r.length;m++){var g=r[m];d[g]=p?p[g]:1}l.subdata(d)}for(var y=f.length;y--;){var v=n(f[y],2),x=v[0],_=v[1];h.push(u({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:_-x}))}return h},x.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,l=this.maxSize,h=this.maxColors,m=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=f(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=u({},x.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var v=0,_=0;if(p(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=x.defaults.size),v+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=x.defaults.borderSize),v+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=x.defaults.color),e=t.updateColor(e),_++,e},borderColor:function(e,r){return null==e&&(e=x.defaults.borderColor),e=t.updateColor(e),_++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,l=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=d(t,\"float64\");var u=e.count=Math.floor(t.length/2),h=e.bounds=u?s(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=c(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=o.elements(f)}var p=g.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:g.fract32(t,p),usage:\"dynamic\"}),l({data:new Uint8Array(u),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var h={data:a[u],type:\"uint8\",usage:\"static\"};i[u]?i[u](h):i[u]=o.buffer(h),i[u].data=a[u]}}else i[t.addMarker(e)]=!0;return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=g.fract(e.scale),e.translateFract=g.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),v){var b=n,w=b.count,T=b.size,k=b.borderSize,A=b.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/l),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/l);A({data:M,usage:\"dynamic\"})}if(_){var E,C=n,L=C.count,I=C.color,P=C.borderColor,z=C.colorBuffer;if(t.tooManyColors){if(I.length||P.length){E=new Uint8Array(8*L);for(var O=0;O<L;O++){var D=I[O];E[8*O]=m[4*D],E[8*O+1]=m[4*D+1],E[8*O+2]=m[4*D+2],E[8*O+3]=m[4*D+3];var R=P[O];E[8*O+4]=m[4*R],E[8*O+5]=m[4*R+1],E[8*O+6]=m[4*R+2],E[8*O+7]=m[4*R+3]}}}else if(I.length||P.length){E=new Uint8Array(4*L+2);for(var F=0;F<L;F++)null!=I[F]&&(E[4*F]=I[F]%h,E[4*F+1]=Math.floor(I[F]/h)),null!=P[F]&&(E[4*F+2]=P[F]%h,E[4*F+3]=Math.floor(P[F]/h))}z({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},x.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},x.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var s=0;s<t.length;s+=4)a.push(t.slice(s,s+4));else for(var c=0;c<t.length;c+=4)a.push(t.subarray(c,c+4));t=a}for(var u=0;u<t.length;u++){var h=t[u];h=o(h,\"uint8\");var f=l(h,!1);if(null==e[f]){var p=r.length;e[f]=Math.floor(p/4),r[p]=h[0],r[p+1]=h[1],r[p+2]=h[2],r[p+3]=h[3]}i[u]=e[f]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},x.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},x.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=r(27976);t.exports=function(t,e){var r=new v(t,e),n=r.render.bind(r);return _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},31239:function(t,e,r){\"use strict\";var n=r(62172),i=r(6807),a=r(78112),o=r(16494),s=r(27902),l=r(5137),c=r(83473);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,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x,s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y,l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}t.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency opaque\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",borderColor:\"borderColors borderColor bordercolor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range ranges databox dataBox\",viewport:\"viewport viewBox viewbox\",domain:\"domain domains area areas\",padding:\"pad padding paddings pads margin margins\",transpose:\"transpose transposed\",diagonal:\"diagonal diag showDiagonal\",upper:\"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf\",lower:\"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower\"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var m=s.columns,g=s.count,y=s.viewport.width,v=s.viewport.height,x=s.viewport.x,_=s.viewport.y,b=y/m,w=v/m;s.passes=[];for(var T=0;T<m;T++)for(var k=0;k<m;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=h(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:m},y:{buffer:s.buffer,offset:T,count:g,stride:m}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=f(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?f(s.padding,T,k):s.padding;if(s.domain){var E=f(s.domain,T,k),C=E[0],L=E[1],I=E[2],P=E[3];M.viewport=[x+C*y+S[0],_+L*v+S[1],x+I*y-S[2],_+P*v-S[3]]}else M.viewport=[x+k*b+b*S[0],_+T*w+w*S[1],x+(k+1)*b-b*S[2],_+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?f(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],h=u.passes,f=u.passOffset;h=h.map((function(t,e){n[f+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return 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t},toMonthIndex:function(t,e,r){var i=this.intercalaryMonth(t);if(r&&e!==i||e<1||e>12)throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return i?!r&&e<=i?e-1:e:e-1},toChineseMonth:function(t,e){t.year&&(e=(t=t.year()).month());var r=this.intercalaryMonth(t);if(e<0||e>(r?12:11))throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return r?e<r?e+1:e:e+1},intercalaryMonth:function(t){return t=this._validateYear(t),h[t-h[0]]>>13},isIntercalaryMonth:function(t,e){t.year&&(e=(t=t.year()).month());var r=this.intercalaryMonth(t);return!!r&&r===e},leapYear:function(t){return 0!==this.intercalaryMonth(t)},weekOfYear:function(t,e,r){var i,o=this._validateYear(t,n.local.invalidyear),s=f[o-f[0]],l=s>>9&4095,c=s>>5&15,u=31&s;(i=a.newDate(l,c,u)).add(4-(i.dayOfWeek()||7),\"d\");var h=this.toJD(t,e,r)-i.toJD();return 1+Math.floor(h/7)},monthsInYear:function(t){return this.leapYear(t)?13:12},daysInMonth:function(t,e){t.year&&(e=t.month(),t=t.year()),t=this._validateYear(t);var r=h[t-h[0]];if(e>(r>>13?12:11))throw n.local.invalidMonth.replace(/\\{0\\}/,this.local.name);return r&1<<12-e?30:29},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,s,r,n.local.invalidDate);t=this._validateYear(i.year()),e=i.month(),r=i.day();var o=this.isIntercalaryMonth(t,e),s=this.toChineseMonth(t,e),l=function(t,e,r,n,i){var a,o,s;if(\"object\"==typeof t)o=t,a=e||{};else{var l;if(!(\"number\"==typeof t&&t>=1888&&t<=2111))throw new Error(\"Lunar year outside range 1888-2111\");if(!(\"number\"==typeof e&&e>=1&&e<=12))throw new Error(\"Lunar month outside range 1 - 12\");if(!(\"number\"==typeof r&&r>=1&&r<=30))throw new Error(\"Lunar day outside range 1 - 30\");\"object\"==typeof n?(l=!1,a=n):(l=!!n,a={}),o={year:t,month:e,day:r,isIntercalary:l}}s=o.day-1;var c,u=h[o.year-h[0]],p=u>>13;c=p&&(o.month>p||o.isIntercalary)?o.month:o.month-1;for(var d=0;d<c;d++)s+=u&1<<12-d?30:29;var m=f[o.year-f[0]],g=new Date(m>>9&4095,(m>>5&15)-1,(31&m)+s);return a.year=g.getFullYear(),a.month=1+g.getMonth(),a.day=g.getDate(),a}(t,s,r,o);return a.toJD(l.year,l.month,l.day)},fromJD:function(t){var e=a.fromJD(t),r=function(t,e,r,n){var i,a;if(\"object\"==typeof t)i=t,a=e||{};else{if(!(\"number\"==typeof t&&t>=1888&&t<=2111))throw new Error(\"Solar year outside range 1888-2111\");if(!(\"number\"==typeof e&&e>=1&&e<=12))throw new Error(\"Solar month outside range 1 - 12\");if(!(\"number\"==typeof r&&r>=1&&r<=31))throw new Error(\"Solar day outside range 1 - 31\");i={year:t,month:e,day:r},a={}}var o=f[i.year-f[0]],s=i.year<<9|i.month<<5|i.day;a.year=s>=o?i.year:i.year-1,o=f[a.year-f[0]];var l,c=new Date(o>>9&4095,(o>>5&15)-1,31&o),u=new Date(i.year,i.month-1,i.day);l=Math.round((u-c)/864e5);var p,d=h[a.year-h[0]];for(p=0;p<13;p++){var m=d&1<<12-p?30:29;if(l<m)break;l-=m}var g=d>>13;return!g||p<g?(a.isIntercalary=!1,a.month=1+p):p===g?(a.isIntercalary=!0,a.month=p):(a.isIntercalary=!1,a.month=p),a.day=1+l,a}(e.year(),e.month(),e.day()),n=this.toMonthIndex(r.year,r.month,r.isIntercalary);return this.newDate(r.year,n,r.day)},fromString:function(t){var e=t.match(s),r=this._validateYear(+e[1]),n=+e[2],i=!!e[3],a=this.toMonthIndex(r,n,i),o=+e[4];return this.newDate(r,a,o)},add:function(t,e,r){var n=t.year(),i=t.month(),a=this.isIntercalaryMonth(n,i),s=this.toChineseMonth(n,i),l=Object.getPrototypeOf(o.prototype).add.call(this,t,e,r);if(\"y\"===r){var c=l.year(),u=l.month(),h=this.isIntercalaryMonth(c,s),f=a&&h?this.toMonthIndex(c,s,!0):this.toMonthIndex(c,s,!1);f!==u&&l.month(f)}return l}});var s=/^\\s*(-?\\d\\d\\d\\d|\\d\\d)[-/](\\d?\\d)([iI]?)[-/](\\d?\\d)/m,l=/^\\d?\\d[iI]?/m,c=/^闰?十?[一二三四五六七八九]?月/m,u=/^闰?十?[一二三四五六七八九]?/m;n.calendars.chinese=o;var 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n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.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 i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.coptic=a},28569:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.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 i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},81133:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.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 i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},78295:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.hebrew=a},25512:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Islamic\",jdEpoch:1948439.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Islamic\",epochs:[\"BH\",\"AH\"],monthNames:[\"Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' al-thani\",\"Jumada al-awwal\",\"Jumada al-thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-ahad\",\"Yawm al-ithnayn\",\"Yawm ath-thulaathaa'\",\"Yawm al-arbi'aa'\",\"Yawm al-khamīs\",\"Yawm al-jum'a\",\"Yawm as-sabt\"],dayNamesShort:[\"Aha\",\"Ith\",\"Thu\",\"Arb\",\"Kha\",\"Jum\",\"Sab\"],dayNamesMin:[\"Ah\",\"It\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!1}},leapYear:function(t){return(11*this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year()+14)%30<11},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return this.leapYear(t)?355:354},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),t=t<=0?t+1:t,(r=i.day())+Math.ceil(29.5*(e-1))+354*(t-1)+Math.floor((3+11*t)/30)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t)+.5;var e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},42645:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Julian\",jdEpoch:1721423.5,daysPerMonth:[31,28,31,30,31,30,31,31,30,31,30,31],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Julian\",epochs:[\"BC\",\"AD\"],monthNames:[\"January\",\"February\",\"March\",\"April\",\"May\",\"June\",\"July\",\"August\",\"September\",\"October\",\"November\",\"December\"],monthNamesShort:[\"Jan\",\"Feb\",\"Mar\",\"Apr\",\"May\",\"Jun\",\"Jul\",\"Aug\",\"Sep\",\"Oct\",\"Nov\",\"Dec\"],dayNames:[\"Sunday\",\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\"],dayNamesShort:[\"Sun\",\"Mon\",\"Tue\",\"Wed\",\"Thu\",\"Fri\",\"Sat\"],dayNamesMin:[\"Su\",\"Mo\",\"Tu\",\"We\",\"Th\",\"Fr\",\"Sa\"],digits:null,dateFormat:\"mm/dd/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()<0?e.year()+1:e.year())%4==0},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},62324:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Mayan\",jdEpoch:584282.5,hasYearZero:!0,minMonth:0,firstMonth:0,minDay:0,regionalOptions:{\"\":{name:\"Mayan\",epochs:[\"\",\"\"],monthNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],monthNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\"],dayNames:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesShort:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],dayNamesMin:[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\"],digits:null,dateFormat:\"YYYY.m.d\",firstDay:0,isRTL:!1,haabMonths:[\"Pop\",\"Uo\",\"Zip\",\"Zotz\",\"Tzec\",\"Xul\",\"Yaxkin\",\"Mol\",\"Chen\",\"Yax\",\"Zac\",\"Ceh\",\"Mac\",\"Kankin\",\"Muan\",\"Pax\",\"Kayab\",\"Cumku\",\"Uayeb\"],tzolkinMonths:[\"Imix\",\"Ik\",\"Akbal\",\"Kan\",\"Chicchan\",\"Cimi\",\"Manik\",\"Lamat\",\"Muluc\",\"Oc\",\"Chuen\",\"Eb\",\"Ben\",\"Ix\",\"Men\",\"Cib\",\"Caban\",\"Etznab\",\"Cauac\",\"Ahau\"]}},leapYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o(8+(t-=this.jdEpoch)+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s(20+(t-=this.jdEpoch),20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},91662:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar;var o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},66445:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return 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9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},41858:function(t,e,r){var n=r(24453),i=r(27976),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},57985:function(t,e,r){var n=r(24453),i=r(27976);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thalāthā’\",\"Yawm al-Arba‘ā’\",\"Yawm al-Khamīs\",\"Yawm al-Jum‘a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return i&&(i=(t=null!=t.year?t.year:t)>=1276&&t<=1500),i},_validate:function(t,e,r,i){var a=n.baseCalendar.prototype._validate.apply(this,arguments);if(a.year<1276||a.year>1500)throw i.replace(/\\{0\\}/,this.local.name);return a}}),n.calendars.ummalqura=a;var 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n=r(27976);function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day(),\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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t=ae(e);if(r){if(r===t)continue;r=dt;break}r=t}return _t(r||dt,e)}return pt}function oe(t){const e=typeof t;return null===t?\"\":\"string\"===e||\"number\"===e||\"boolean\"===e?String(t):t instanceof Xt||t instanceof Kt||t instanceof Qt||t instanceof ee||t instanceof re?t.toString():JSON.stringify(t)}class se{constructor(t,e){this.type=t,this.value=e}static parse(t,e){if(2!==t.length)return e.error(`'literal' expression requires exactly one argument, but found ${t.length-1} instead.`);if(!ie(t[1]))return e.error(\"invalid value\");const r=t[1];let n=ae(r);const i=e.expectedType;return\"array\"!==n.kind||0!==n.N||!i||\"array\"!==i.kind||\"number\"==typeof i.N&&0!==i.N||(n=i),new se(n,r)}evaluate(){return this.value}eachChild(){}outputDefined(){return!0}}class le{constructor(t){this.name=\"ExpressionEvaluationError\",this.message=t}toJSON(){return this.message}}const ce={string:ut,number:ct,boolean:ht,object:pt};class ue{constructor(t,e){this.type=t,this.args=e}static 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st,a=[]){this.registry=t,this.path=r,this.key=r.map((t=>`[${t}]`)).join(\"\"),this.scope=i,this.errors=a,this.expectedType=n,this._isConstant=e}parse(t,e,r,n,i={}){return e?this.concat(e,r,n)._parse(t,i):this._parse(t,i)}_parse(t,e){function r(t,e,r){return\"assert\"===r?new ue(e,[t]):\"coerce\"===r?new fe(e,[t]):t}if(null!==t&&\"string\"!=typeof t&&\"boolean\"!=typeof t&&\"number\"!=typeof t||(t=[\"literal\",t]),Array.isArray(t)){if(0===t.length)return this.error('Expected an array with at least one element. 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be{constructor(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a}static parse(t,e){if(t.length<5)return e.error(`Expected at least 4 arguments, but found only ${t.length-1}.`);if(t.length%2!=1)return e.error(\"Expected an even number of arguments.\");let r,n;e.expectedType&&\"value\"!==e.expectedType.kind&&(n=e.expectedType);const i={},a=[];for(let o=2;o<t.length-1;o+=2){let s=t[o];const l=t[o+1];Array.isArray(s)||(s=[s]);const c=e.concat(o);if(0===s.length)return c.error(\"Expected at least one branch label.\");for(const t of s){if(\"number\"!=typeof t&&\"string\"!=typeof t)return c.error(\"Branch labels must be numbers or strings.\");if(\"number\"==typeof t&&Math.abs(t)>Number.MAX_SAFE_INTEGER)return c.error(`Branch labels must be integers no larger than ${Number.MAX_SAFE_INTEGER}.`);if(\"number\"==typeof t&&Math.floor(t)!==t)return c.error(\"Numeric branch labels must be integer values.\");if(r){if(c.checkSubtype(r,ae(t)))return null}else r=ae(t);if(void 0!==i[String(t)])return c.error(\"Branch labels must be unique.\");i[String(t)]=a.length}const u=e.parse(l,o,n);if(!u)return null;n=n||u.type,a.push(u)}const o=e.parse(t[1],1,dt);if(!o)return null;const s=e.parse(t[t.length-1],t.length-1,n);return s?\"value\"!==o.type.kind&&e.concat(1).checkSubtype(r,o.type)?null:new be(r,n,o,i,a,s):null}evaluate(t){const e=this.input.evaluate(t);return(ae(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)}eachChild(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)}outputDefined(){return this.outputs.every((t=>t.outputDefined()))&&this.otherwise.outputDefined()}}class we{constructor(t,e,r){this.type=t,this.branches=e,this.otherwise=r}static parse(t,e){if(t.length<4)return e.error(`Expected at least 3 arguments, but found only ${t.length-1}.`);if(t.length%2!=0)return e.error(\"Expected an odd number of arguments.\");let 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Qt(Ie(t.values,e.values,r))},variableAnchorOffsetCollection:function(t,e,r){const n=t.values,i=e.values;if(n.length!==i.length)throw new le(`Cannot interpolate values of different length. from: ${t.toString()}, to: ${e.toString()}`);const a=[];for(let t=0;t<n.length;t+=2){if(n[t]!==i[t])throw new le(`Cannot interpolate values containing mismatched anchors. from[${t}]: ${n[t]}, to[${t}]: ${i[t]}`);a.push(n[t]);const[e,o]=n[t+1],[s,l]=i[t+1];a.push([Le(e,s,r),Le(o,l,r)])}return new ee(a)}};class ze{constructor(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(const[t,e]of i)this.labels.push(t),this.outputs.push(e)}static interpolationFactor(t,e,r,n){let i=0;if(\"exponential\"===t.name)i=Oe(e,t.base,r,n);else if(\"linear\"===t.name)i=Oe(e,1,r,n);else if(\"cubic-bezier\"===t.name){const a=t.controlPoints;i=new Ce(a[0],a[1],a[2],a[3]).solve(Oe(e,1,r,n))}return i}static 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e.error(\"Expected one argument.\");const r=t[1];if(\"object\"!=typeof r||Array.isArray(r))return e.error(\"Collator options argument must be an object.\");const n=e.parse(void 0!==r[\"case-sensitive\"]&&r[\"case-sensitive\"],1,ht);if(!n)return null;const i=e.parse(void 0!==r[\"diacritic-sensitive\"]&&r[\"diacritic-sensitive\"],1,ht);if(!i)return null;let a=null;return r.locale&&(a=e.parse(r.locale,1,ut),!a)?null:new Ge(n,i,a)}evaluate(t){return new $t(this.caseSensitive.evaluate(t),this.diacriticSensitive.evaluate(t),this.locale?this.locale.evaluate(t):null)}eachChild(t){t(this.caseSensitive),t(this.diacriticSensitive),this.locale&&t(this.locale)}outputDefined(){return!1}}class Ze{constructor(t,e,r,n,i){this.type=ut,this.number=t,this.locale=e,this.currency=r,this.minFractionDigits=n,this.maxFractionDigits=i}static parse(t,e){if(3!==t.length)return e.error(\"Expected two arguments.\");const r=e.parse(t[1],1,ct);if(!r)return null;const n=t[2];if(\"object\"!=typeof n||Array.isArray(n))return e.error(\"NumberFormat options argument must be an object.\");let i=null;if(n.locale&&(i=e.parse(n.locale,1,ut),!i))return null;let a=null;if(n.currency&&(a=e.parse(n.currency,1,ut),!a))return null;let o=null;if(n[\"min-fraction-digits\"]&&(o=e.parse(n[\"min-fraction-digits\"],1,ct),!o))return null;let s=null;return n[\"max-fraction-digits\"]&&(s=e.parse(n[\"max-fraction-digits\"],1,ct),!s)?null:new Ze(r,i,a,o,s)}evaluate(t){return new Intl.NumberFormat(this.locale?this.locale.evaluate(t):[],{style:this.currency?\"currency\":\"decimal\",currency:this.currency?this.currency.evaluate(t):void 0,minimumFractionDigits:this.minFractionDigits?this.minFractionDigits.evaluate(t):void 0,maximumFractionDigits:this.maxFractionDigits?this.maxFractionDigits.evaluate(t):void 0}).format(this.number.evaluate(t))}eachChild(t){t(this.number),this.locale&&t(this.locale),this.currency&&t(this.currency),this.minFractionDigits&&t(this.minFractionDigits),this.maxFractionDigits&&t(this.maxFractionDigits)}outputDefined(){return!1}}class We{constructor(t){this.type=gt,this.sections=t}static parse(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");const r=t[1];if(!Array.isArray(r)&&\"object\"==typeof r)return e.error(\"First argument must be an image or text section.\");const n=[];let i=!1;for(let r=1;r<=t.length-1;++r){const a=t[r];if(i&&\"object\"==typeof a&&!Array.isArray(a)){i=!1;let t=null;if(a[\"font-scale\"]&&(t=e.parse(a[\"font-scale\"],1,ct),!t))return null;let r=null;if(a[\"text-font\"]&&(r=e.parse(a[\"text-font\"],1,_t(ut)),!r))return null;let o=null;if(a[\"text-color\"]&&(o=e.parse(a[\"text-color\"],1,ft),!o))return null;const s=n[n.length-1];s.scale=t,s.font=r,s.textColor=o}else{const a=e.parse(t[r],1,dt);if(!a)return null;const 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r=Math.pow(2,e.z),n=(t[0]/$e+e.x)/r,i=(t[1]/$e+e.y)/r;return[(o=n,360*o-180),(a=i,360/Math.PI*Math.atan(Math.exp((180-360*a)*Math.PI/180))-90)];var a,o}function Qe(t,e){t[0]=Math.min(t[0],e[0]),t[1]=Math.min(t[1],e[1]),t[2]=Math.max(t[2],e[0]),t[3]=Math.max(t[3],e[1])}function tr(t,e){return!(t[0]<=e[0]||t[2]>=e[2]||t[1]<=e[1]||t[3]>=e[3])}function er(t,e,r){const n=t[0]-e[0],i=t[1]-e[1],a=t[0]-r[0],o=t[1]-r[1];return n*o-a*i==0&&n*a<=0&&i*o<=0}function rr(t,e,r,n){const i=[e[0]-t[0],e[1]-t[1]];return 0!=(a=[n[0]-r[0],n[1]-r[1]],o=i,a[0]*o[1]-a[1]*o[0])&&!(!lr(t,e,r,n)||!lr(r,n,t,e));var a,o}function nr(t,e,r){for(const n of r)for(let r=0;r<n.length-1;++r)if(rr(t,e,n[r],n[r+1]))return!0;return!1}function ir(t,e,r=!1){let n=!1;for(const s of e)for(let e=0;e<s.length-1;e++){if(er(t,s[e],s[e+1]))return r;i=t,a=s[e],o=s[e+1],a[1]>i[1]!=o[1]>i[1]&&i[0]<(o[0]-a[0])*(i[1]-a[1])/(o[1]-a[1])+a[0]&&(n=!n)}var i,a,o;return n}function ar(t,e){for(const r of e)if(ir(t,r))return!0;return!1}function 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Object.keys(this._values))if(this._values[t].prior)return!0;return!1}}class $i{constructor(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)}hasValue(t){return void 0!==this._values[t].value}getValue(t){return b(this._values[t].value)}setValue(t,e){this._values[t]=new Gi(this._values[t].property,null===e?void 0:b(e))}serialize(){const t={};for(const e of Object.keys(this._values)){const r=this.getValue(e);void 0!==r&&(t[e]=r)}return t}possiblyEvaluate(t,e,r){const n=new Ki(this._properties);for(const i of Object.keys(this._values))n._values[i]=this._values[i].possiblyEvaluate(t,e,r);return n}}class Ji{constructor(t,e,r){this.property=t,this.value=e,this.parameters=r}isConstant(){return\"constant\"===this.value.kind}constantOr(t){return\"constant\"===this.value.kind?this.value.value:t}evaluate(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)}}class Ki{constructor(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)}get(t){return this._values[t]}}class Qi{constructor(t){this.specification=t}possiblyEvaluate(t,e){if(t.isDataDriven())throw new Error(\"Value should not be data driven\");return t.expression.evaluate(e)}interpolate(t,e,r){const n=this.specification.type,i=Pe[n];return i?i(t,e,r):t}}class ta{constructor(t,e){this.specification=t,this.overrides=e}possiblyEvaluate(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Ji(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Ji(this,t.expression,e)}interpolate(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Ji(this,{kind:\"constant\",value:void 0},t.parameters);const n=this.specification.type,i=Pe[n];if(i){const n=i(t.value.value,e.value.value,r);return new Ji(this,{kind:\"constant\",value:n},t.parameters)}return t}evaluate(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)}}class ea extends ta{possiblyEvaluate(t,e,r,n){if(void 0===t.value)return new Ji(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){const i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Ji(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){const r=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Ji(this,{kind:\"constant\",value:r},e)}return new Ji(this,t.expression,e)}evaluate(t,e,r,n,i,a){if(\"source\"===t.kind){const o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value}_calculate(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}}interpolate(t){return t}}class ra{constructor(t){this.specification=t}possiblyEvaluate(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){const i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Hi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Hi(Math.floor(e.zoom),e)),t.expression.evaluate(new Hi(Math.floor(e.zoom+1),e)),e)}}_calculate(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}}interpolate(t){return t}}class na{constructor(t){this.specification=t}possiblyEvaluate(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)}interpolate(){return!1}}class ia{constructor(t){this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[];for(const e in t){const r=t[e];r.specification.overridable&&this.overridableProperties.push(e);const n=this.defaultPropertyValues[e]=new Gi(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new Zi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}}}Mi(\"DataDrivenProperty\",ta),Mi(\"DataConstantProperty\",Qi),Mi(\"CrossFadedDataDrivenProperty\",ea),Mi(\"CrossFadedProperty\",ra),Mi(\"ColorRampProperty\",na);const aa=\"-transition\";class oa extends G{constructor(t,e){if(super(),this.id=t.id,this.type=t.type,this._featureFilter={filter:()=>!0,needGeometry:!1},\"custom\"!==t.type&&(this.metadata=t.metadata,this.minzoom=t.minzoom,this.maxzoom=t.maxzoom,\"background\"!==t.type&&(this.source=t.source,this.sourceLayer=t[\"source-layer\"],this.filter=t.filter),e.layout&&(this._unevaluatedLayout=new $i(e.layout)),e.paint)){this._transitionablePaint=new Wi(e.paint);for(const e in t.paint)this.setPaintProperty(e,t.paint[e],{validate:!1});for(const e in t.layout)this.setLayoutProperty(e,t.layout[e],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new Ki(e.paint)}}getCrossfadeParameters(){return this._crossfadeParameters}getLayoutProperty(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)}setLayoutProperty(t,e,r={}){if(null!=e){const n=`layers.${this.id}.layout.${t}`;if(this._validate(wi,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e}getPaintProperty(t){return t.endsWith(aa)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)}setPaintProperty(t,e,r={}){if(null!=e){const n=`layers.${this.id}.paint.${t}`;if(this._validate(bi,n,t,e,r))return!1}if(t.endsWith(aa))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;{const r=this._transitionablePaint._values[t],n=\"cross-faded-data-driven\"===r.property.specification[\"property-type\"],i=r.value.isDataDriven(),a=r.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);const o=this._transitionablePaint._values[t].value;return o.isDataDriven()||i||n||this._handleOverridablePaintPropertyUpdate(t,a,o)}}_handleSpecialPaintPropertyUpdate(t){}_handleOverridablePaintPropertyUpdate(t,e,r){return!1}isHidden(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility}updateTransitions(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)}hasTransition(){return this._transitioningPaint.hasTransition()}recalculate(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)}serialize(){const t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),_(t,((t,e)=>!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)))}_validate(t,e,r,n,i={}){return(!i||!1!==i.validate)&&Ti(this,t.call(vi,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Z,style:{glyphs:!0,sprite:!0}}))}is3D(){return!1}isTileClipped(){return!1}hasOffscreenPass(){return!1}resize(){}isStateDependent(){for(const t in this.paint._values){const e=this.paint.get(t);if(e instanceof Ji&&hn(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1}}const sa={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array};class la{constructor(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8}}class ca{constructor(){this.isTransferred=!1,this.capacity=-1,this.resize(0)}static serialize(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}}static deserialize(t){const e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e}_trim(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())}clear(){this.length=0}resize(t){this.reserve(t),this.length=t}reserve(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);const e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}}_refreshViews(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")}}function ua(t,e=1){let r=0,n=0;return{members:t.map((t=>{const i=(s=t.type,sa[s].BYTES_PER_ELEMENT),a=r=ha(r,Math.max(e,i)),o=t.components||1;var s;return n=Math.max(n,i),r+=i*o,{name:t.name,type:t.type,components:o,offset:a}})),size:ha(r,Math.max(n,e)),alignment:e}}function ha(t,e){return Math.ceil(t/e)*e}class fa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e){const r=this.length;return this.resize(r+1),this.emplace(r,t,e)}emplace(t,e,r){const n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t}}fa.prototype.bytesPerElement=4,Mi(\"StructArrayLayout2i4\",fa);class pa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t}}pa.prototype.bytesPerElement=6,Mi(\"StructArrayLayout3i6\",pa);class da extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n){const i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)}emplace(t,e,r,n,i){const a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t}}da.prototype.bytesPerElement=8,Mi(\"StructArrayLayout4i8\",da);class ma extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t}}ma.prototype.bytesPerElement=12,Mi(\"StructArrayLayout2i4i12\",ma);class ga extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t}}ga.prototype.bytesPerElement=8,Mi(\"StructArrayLayout2i4ub8\",ga);class ya extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e){const r=this.length;return this.resize(r+1),this.emplace(r,t,e)}emplace(t,e,r){const n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t}}ya.prototype.bytesPerElement=8,Mi(\"StructArrayLayout2f8\",ya);class va extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l,c){const u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)}emplace(t,e,r,n,i,a,o,s,l,c,u){const h=10*t;return this.uint16[h+0]=e,this.uint16[h+1]=r,this.uint16[h+2]=n,this.uint16[h+3]=i,this.uint16[h+4]=a,this.uint16[h+5]=o,this.uint16[h+6]=s,this.uint16[h+7]=l,this.uint16[h+8]=c,this.uint16[h+9]=u,t}}va.prototype.bytesPerElement=20,Mi(\"StructArrayLayout10ui20\",va);class xa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l,c,u,h){const f=this.length;return this.resize(f+1),this.emplace(f,t,e,r,n,i,a,o,s,l,c,u,h)}emplace(t,e,r,n,i,a,o,s,l,c,u,h,f){const p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=h,this.int16[p+11]=f,t}}xa.prototype.bytesPerElement=24,Mi(\"StructArrayLayout4i4ui4i24\",xa);class _a extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t}}_a.prototype.bytesPerElement=12,Mi(\"StructArrayLayout3f12\",_a);class ba extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)}emplaceBack(t){const e=this.length;return this.resize(e+1),this.emplace(e,t)}emplace(t,e){const r=1*t;return this.uint32[r+0]=e,t}}ba.prototype.bytesPerElement=4,Mi(\"StructArrayLayout1ul4\",ba);class wa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a,o,s,l){const c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)}emplace(t,e,r,n,i,a,o,s,l,c){const u=10*t,h=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[h+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t}}wa.prototype.bytesPerElement=20,Mi(\"StructArrayLayout6i1ul2ui20\",wa);class Ta extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t}}Ta.prototype.bytesPerElement=12,Mi(\"StructArrayLayout2i2i2i12\",Ta);class ka extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i){const a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)}emplace(t,e,r,n,i,a){const o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t}}ka.prototype.bytesPerElement=16,Mi(\"StructArrayLayout2f1f2i16\",ka);class Aa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)}emplaceBack(t,e,r,n,i,a){const o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)}emplace(t,e,r,n,i,a,o){const s=16*t,l=4*t,c=8*t;return this.uint8[s+0]=e,this.uint8[s+1]=r,this.float32[l+1]=n,this.float32[l+2]=i,this.int16[c+6]=a,this.int16[c+7]=o,t}}Aa.prototype.bytesPerElement=16,Mi(\"StructArrayLayout2ub2f2i16\",Aa);class Ma extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t}}Ma.prototype.bytesPerElement=6,Mi(\"StructArrayLayout3ui6\",Ma);class Sa extends ca{_refreshViews(){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)}emplaceBack(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g){const y=this.length;return this.resize(y+1),this.emplace(y,t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g)}emplace(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y){const v=24*t,x=12*t,_=48*t;return this.int16[v+0]=e,this.int16[v+1]=r,this.uint16[v+2]=n,this.uint16[v+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[v+10]=l,this.uint16[v+11]=c,this.uint16[v+12]=u,this.float32[x+7]=h,this.float32[x+8]=f,this.uint8[_+36]=p,this.uint8[_+37]=d,this.uint8[_+38]=m,this.uint32[x+10]=g,this.int16[v+22]=y,t}}Sa.prototype.bytesPerElement=48,Mi(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Sa);class Ea extends ca{_refreshViews(){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)}emplaceBack(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,k,A,M,S){const E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,k,A,M,S)}emplace(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x,_,b,w,T,k,A,M,S,E){const C=32*t,L=16*t;return this.int16[C+0]=e,this.int16[C+1]=r,this.int16[C+2]=n,this.int16[C+3]=i,this.int16[C+4]=a,this.int16[C+5]=o,this.int16[C+6]=s,this.int16[C+7]=l,this.uint16[C+8]=c,this.uint16[C+9]=u,this.uint16[C+10]=h,this.uint16[C+11]=f,this.uint16[C+12]=p,this.uint16[C+13]=d,this.uint16[C+14]=m,this.uint16[C+15]=g,this.uint16[C+16]=y,this.uint16[C+17]=v,this.uint16[C+18]=x,this.uint16[C+19]=_,this.uint16[C+20]=b,this.uint16[C+21]=w,this.uint16[C+22]=T,this.uint32[L+12]=k,this.float32[L+13]=A,this.float32[L+14]=M,this.uint16[C+30]=S,this.uint16[C+31]=E,t}}Ea.prototype.bytesPerElement=64,Mi(\"StructArrayLayout8i15ui1ul2f2ui64\",Ea);class Ca extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t){const e=this.length;return this.resize(e+1),this.emplace(e,t)}emplace(t,e){const r=1*t;return this.float32[r+0]=e,t}}Ca.prototype.bytesPerElement=4,Mi(\"StructArrayLayout1f4\",Ca);class La extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=6*t,a=3*t;return this.uint16[i+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,t}}La.prototype.bytesPerElement=12,Mi(\"StructArrayLayout1ui2f12\",La);class Ia extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e,r){const n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)}emplace(t,e,r,n){const i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t}}Ia.prototype.bytesPerElement=8,Mi(\"StructArrayLayout1ul2ui8\",Ia);class Pa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t,e){const r=this.length;return this.resize(r+1),this.emplace(r,t,e)}emplace(t,e,r){const n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t}}Pa.prototype.bytesPerElement=4,Mi(\"StructArrayLayout2ui4\",Pa);class za extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)}emplaceBack(t){const e=this.length;return this.resize(e+1),this.emplace(e,t)}emplace(t,e){const r=1*t;return this.uint16[r+0]=e,t}}za.prototype.bytesPerElement=2,Mi(\"StructArrayLayout1ui2\",za);class Oa extends ca{_refreshViews(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)}emplaceBack(t,e,r,n){const i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)}emplace(t,e,r,n,i){const a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t}}Oa.prototype.bytesPerElement=16,Mi(\"StructArrayLayout4f16\",Oa);class Da extends la{get anchorPointX(){return this._structArray.int16[this._pos2+0]}get anchorPointY(){return this._structArray.int16[this._pos2+1]}get x1(){return this._structArray.int16[this._pos2+2]}get y1(){return this._structArray.int16[this._pos2+3]}get x2(){return this._structArray.int16[this._pos2+4]}get y2(){return this._structArray.int16[this._pos2+5]}get featureIndex(){return this._structArray.uint32[this._pos4+3]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+8]}get bucketIndex(){return this._structArray.uint16[this._pos2+9]}get anchorPoint(){return new a(this.anchorPointX,this.anchorPointY)}}Da.prototype.size=20;class Ra extends wa{get(t){return new Da(this,t)}}Mi(\"CollisionBoxArray\",Ra);class Fa extends la{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get glyphStartIndex(){return this._structArray.uint16[this._pos2+2]}get numGlyphs(){return this._structArray.uint16[this._pos2+3]}get vertexStartIndex(){return this._structArray.uint32[this._pos4+2]}get lineStartIndex(){return this._structArray.uint32[this._pos4+3]}get lineLength(){return this._structArray.uint32[this._pos4+4]}get segment(){return this._structArray.uint16[this._pos2+10]}get lowerSize(){return this._structArray.uint16[this._pos2+11]}get upperSize(){return this._structArray.uint16[this._pos2+12]}get lineOffsetX(){return this._structArray.float32[this._pos4+7]}get lineOffsetY(){return this._structArray.float32[this._pos4+8]}get writingMode(){return this._structArray.uint8[this._pos1+36]}get placedOrientation(){return this._structArray.uint8[this._pos1+37]}set placedOrientation(t){this._structArray.uint8[this._pos1+37]=t}get hidden(){return this._structArray.uint8[this._pos1+38]}set hidden(t){this._structArray.uint8[this._pos1+38]=t}get crossTileID(){return this._structArray.uint32[this._pos4+10]}set crossTileID(t){this._structArray.uint32[this._pos4+10]=t}get associatedIconIndex(){return this._structArray.int16[this._pos2+22]}}Fa.prototype.size=48;class Ba extends Sa{get(t){return new Fa(this,t)}}Mi(\"PlacedSymbolArray\",Ba);class Na extends la{get anchorX(){return this._structArray.int16[this._pos2+0]}get anchorY(){return this._structArray.int16[this._pos2+1]}get rightJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+2]}get centerJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+3]}get leftJustifiedTextSymbolIndex(){return this._structArray.int16[this._pos2+4]}get verticalPlacedTextSymbolIndex(){return this._structArray.int16[this._pos2+5]}get placedIconSymbolIndex(){return this._structArray.int16[this._pos2+6]}get verticalPlacedIconSymbolIndex(){return this._structArray.int16[this._pos2+7]}get key(){return this._structArray.uint16[this._pos2+8]}get textBoxStartIndex(){return this._structArray.uint16[this._pos2+9]}get textBoxEndIndex(){return this._structArray.uint16[this._pos2+10]}get verticalTextBoxStartIndex(){return this._structArray.uint16[this._pos2+11]}get verticalTextBoxEndIndex(){return this._structArray.uint16[this._pos2+12]}get iconBoxStartIndex(){return this._structArray.uint16[this._pos2+13]}get iconBoxEndIndex(){return this._structArray.uint16[this._pos2+14]}get verticalIconBoxStartIndex(){return this._structArray.uint16[this._pos2+15]}get verticalIconBoxEndIndex(){return this._structArray.uint16[this._pos2+16]}get featureIndex(){return this._structArray.uint16[this._pos2+17]}get numHorizontalGlyphVertices(){return this._structArray.uint16[this._pos2+18]}get numVerticalGlyphVertices(){return this._structArray.uint16[this._pos2+19]}get numIconVertices(){return this._structArray.uint16[this._pos2+20]}get numVerticalIconVertices(){return this._structArray.uint16[this._pos2+21]}get useRuntimeCollisionCircles(){return this._structArray.uint16[this._pos2+22]}get crossTileID(){return this._structArray.uint32[this._pos4+12]}set crossTileID(t){this._structArray.uint32[this._pos4+12]=t}get textBoxScale(){return this._structArray.float32[this._pos4+13]}get collisionCircleDiameter(){return this._structArray.float32[this._pos4+14]}get textAnchorOffsetStartIndex(){return this._structArray.uint16[this._pos2+30]}get textAnchorOffsetEndIndex(){return this._structArray.uint16[this._pos2+31]}}Na.prototype.size=64;class ja extends Ea{get(t){return new Na(this,t)}}Mi(\"SymbolInstanceArray\",ja);class Ua extends Ca{getoffsetX(t){return this.float32[1*t+0]}}Mi(\"GlyphOffsetArray\",Ua);class Va extends pa{getx(t){return this.int16[3*t+0]}gety(t){return this.int16[3*t+1]}gettileUnitDistanceFromAnchor(t){return this.int16[3*t+2]}}Mi(\"SymbolLineVertexArray\",Va);class qa extends la{get textAnchor(){return this._structArray.uint16[this._pos2+0]}get textOffset0(){return this._structArray.float32[this._pos4+1]}get textOffset1(){return this._structArray.float32[this._pos4+2]}}qa.prototype.size=12;class Ha extends La{get(t){return new qa(this,t)}}Mi(\"TextAnchorOffsetArray\",Ha);class Ga extends la{get featureIndex(){return this._structArray.uint32[this._pos4+0]}get sourceLayerIndex(){return this._structArray.uint16[this._pos2+2]}get bucketIndex(){return this._structArray.uint16[this._pos2+3]}}Ga.prototype.size=8;class Za extends Ia{get(t){return new Ga(this,t)}}Mi(\"FeatureIndexArray\",Za);class Wa extends fa{}class Ya extends fa{}class Xa extends fa{}class $a extends ma{}class Ja extends ga{}class Ka extends ya{}class Qa extends va{}class to extends xa{}class eo extends _a{}class ro extends ba{}class no extends Ta{}class io extends Aa{}class ao extends Ma{}class oo extends Pa{}const so=ua([{name:\"a_pos\",components:2,type:\"Int16\"}],4),{members:lo,size:co,alignment:uo}=so;class ho{constructor(t=[]){this.segments=t}prepareSegment(t,e,r,n){let i=this.segments[this.segments.length-1];return t>ho.MAX_VERTEX_ARRAY_LENGTH&&T(`Max vertices per segment is ${ho.MAX_VERTEX_ARRAY_LENGTH}: bucket requested ${t}`),(!i||i.vertexLength+t>ho.MAX_VERTEX_ARRAY_LENGTH||i.sortKey!==n)&&(i={vertexOffset:e.length,primitiveOffset:r.length,vertexLength:0,primitiveLength:0},void 0!==n&&(i.sortKey=n),this.segments.push(i)),i}get(){return this.segments}destroy(){for(const t of this.segments)for(const e in t.vaos)t.vaos[e].destroy()}static simpleSegment(t,e,r,n){return new ho([{vertexOffset:t,primitiveOffset:e,vertexLength:r,primitiveLength:n,vaos:{},sortKey:0}])}}function fo(t,e){return 256*(t=m(Math.floor(t),0,255))+m(Math.floor(e),0,255)}ho.MAX_VERTEX_ARRAY_LENGTH=Math.pow(2,16)-1,Mi(\"SegmentVector\",ho);const po=ua([{name:\"a_pattern_from\",components:4,type:\"Uint16\"},{name:\"a_pattern_to\",components:4,type:\"Uint16\"},{name:\"a_pixel_ratio_from\",components:1,type:\"Uint16\"},{name:\"a_pixel_ratio_to\",components:1,type:\"Uint16\"}]);var mo={exports:{}},go={exports:{}};!function(t){t.exports=function(t,e){var r,n,i,a,o,s,l,c;for(r=3&t.length,n=t.length-r,i=e,o=3432918353,s=461845907,c=0;c<n;)l=255&t.charCodeAt(c)|(255&t.charCodeAt(++c))<<8|(255&t.charCodeAt(++c))<<16|(255&t.charCodeAt(++c))<<24,++c,i=27492+(65535&(a=5*(65535&(i=(i^=l=(65535&(l=(l=(65535&l)*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295)<<13|i>>>19))+((5*(i>>>16)&65535)<<16)&4294967295))+((58964+(a>>>16)&65535)<<16);switch(l=0,r){case 3:l^=(255&t.charCodeAt(c+2))<<16;case 2:l^=(255&t.charCodeAt(c+1))<<8;case 1:i^=l=(65535&(l=(l=(65535&(l^=255&t.charCodeAt(c)))*o+(((l>>>16)*o&65535)<<16)&4294967295)<<15|l>>>17))*s+(((l>>>16)*s&65535)<<16)&4294967295}return i^=t.length,i=2246822507*(65535&(i^=i>>>16))+((2246822507*(i>>>16)&65535)<<16)&4294967295,i=3266489909*(65535&(i^=i>>>13))+((3266489909*(i>>>16)&65535)<<16)&4294967295,(i^=i>>>16)>>>0}}(go);var yo=go.exports,vo={exports:{}};!function(t){t.exports=function(t,e){for(var r,n=t.length,i=e^n,a=0;n>=4;)r=1540483477*(65535&(r=255&t.charCodeAt(a)|(255&t.charCodeAt(++a))<<8|(255&t.charCodeAt(++a))<<16|(255&t.charCodeAt(++a))<<24))+((1540483477*(r>>>16)&65535)<<16),i=1540483477*(65535&i)+((1540483477*(i>>>16)&65535)<<16)^(r=1540483477*(65535&(r^=r>>>24))+((1540483477*(r>>>16)&65535)<<16)),n-=4,++a;switch(n){case 3:i^=(255&t.charCodeAt(a+2))<<16;case 2:i^=(255&t.charCodeAt(a+1))<<8;case 1:i=1540483477*(65535&(i^=255&t.charCodeAt(a)))+((1540483477*(i>>>16)&65535)<<16)}return i=1540483477*(65535&(i^=i>>>13))+((1540483477*(i>>>16)&65535)<<16),(i^=i>>>15)>>>0}}(vo);var xo=yo,_o=vo.exports;mo.exports=xo,mo.exports.murmur3=xo,mo.exports.murmur2=_o;var bo=r(mo.exports);class wo{constructor(){this.ids=[],this.positions=[],this.indexed=!1}add(t,e,r,n){this.ids.push(To(t)),this.positions.push(e,r,n)}getPositions(t){if(!this.indexed)throw new Error(\"Trying to get index, but feature positions are not indexed\");const e=To(t);let r=0,n=this.ids.length-1;for(;r<n;){const t=r+n>>1;this.ids[t]>=e?n=t:r=t+1}const i=[];for(;this.ids[r]===e;){const t=this.positions[3*r],e=this.positions[3*r+1],n=this.positions[3*r+2];i.push({index:t,start:e,end:n}),r++}return i}static serialize(t,e){const r=new Float64Array(t.ids),n=new Uint32Array(t.positions);return ko(r,n,0,r.length-1),e&&e.push(r.buffer,n.buffer),{ids:r,positions:n}}static deserialize(t){const e=new wo;return e.ids=t.ids,e.positions=t.positions,e.indexed=!0,e}}function To(t){const e=+t;return!isNaN(e)&&e<=Number.MAX_SAFE_INTEGER?e:bo(String(t))}function ko(t,e,r,n){for(;r<n;){const i=t[r+n>>1];let a=r-1,o=n+1;for(;;){do{a++}while(t[a]<i);do{o--}while(t[o]>i);if(a>=o)break;Ao(t,a,o),Ao(e,3*a,3*o),Ao(e,3*a+1,3*o+1),Ao(e,3*a+2,3*o+2)}o-r<n-o?(ko(t,e,r,o),r=o+1):(ko(t,e,o+1,n),n=o)}}function Ao(t,e,r){const n=t[e];t[e]=t[r],t[r]=n}Mi(\"FeaturePositionMap\",wo);class Mo{constructor(t,e){this.gl=t.gl,this.location=e}}class So extends Mo{constructor(t,e){super(t,e),this.current=0}set(t){this.current!==t&&(this.current=t,this.gl.uniform1f(this.location,t))}}class Eo extends Mo{constructor(t,e){super(t,e),this.current=[0,0,0,0]}set(t){t[0]===this.current[0]&&t[1]===this.current[1]&&t[2]===this.current[2]&&t[3]===this.current[3]||(this.current=t,this.gl.uniform4f(this.location,t[0],t[1],t[2],t[3]))}}class Co extends Mo{constructor(t,e){super(t,e),this.current=Xt.transparent}set(t){t.r===this.current.r&&t.g===this.current.g&&t.b===this.current.b&&t.a===this.current.a||(this.current=t,this.gl.uniform4f(this.location,t.r,t.g,t.b,t.a))}}const Lo=new Float32Array(16);function Io(t){return[fo(255*t.r,255*t.g),fo(255*t.b,255*t.a)]}class Po{constructor(t,e,r){this.value=t,this.uniformNames=e.map((t=>`u_${t}`)),this.type=r}setUniform(t,e,r){t.set(r.constantOr(this.value))}getBinding(t,e,r){return\"color\"===this.type?new Co(t,e):new So(t,e)}}class zo{constructor(t,e){this.uniformNames=e.map((t=>`u_${t}`)),this.patternFrom=null,this.patternTo=null,this.pixelRatioFrom=1,this.pixelRatioTo=1}setConstantPatternPositions(t,e){this.pixelRatioFrom=e.pixelRatio,this.pixelRatioTo=t.pixelRatio,this.patternFrom=e.tlbr,this.patternTo=t.tlbr}setUniform(t,e,r,n){const i=\"u_pattern_to\"===n?this.patternTo:\"u_pattern_from\"===n?this.patternFrom:\"u_pixel_ratio_to\"===n?this.pixelRatioTo:\"u_pixel_ratio_from\"===n?this.pixelRatioFrom:null;i&&t.set(i)}getBinding(t,e,r){return\"u_pattern\"===r.substr(0,9)?new Eo(t,e):new So(t,e)}}class Oo{constructor(t,e,r,n){this.expression=t,this.type=r,this.maxValue=0,this.paintVertexAttributes=e.map((t=>({name:`a_${t}`,type:\"Float32\",components:\"color\"===r?2:1,offset:0}))),this.paintVertexArray=new n}populatePaintArray(t,e,r,n,i){const a=this.paintVertexArray.length,o=this.expression.evaluate(new Hi(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)}updatePaintArray(t,e,r,n){const i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)}_setPaintValue(t,e,r){if(\"color\"===this.type){const n=Io(r);for(let r=t;r<e;r++)this.paintVertexArray.emplace(r,n[0],n[1])}else{for(let n=t;n<e;n++)this.paintVertexArray.emplace(n,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}}upload(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()}}class Do{constructor(t,e,r,n,i,a){this.expression=t,this.uniformNames=e.map((t=>`u_${t}_t`)),this.type=r,this.useIntegerZoom=n,this.zoom=i,this.maxValue=0,this.paintVertexAttributes=e.map((t=>({name:`a_${t}`,type:\"Float32\",components:\"color\"===r?4:2,offset:0}))),this.paintVertexArray=new a}populatePaintArray(t,e,r,n,i){const a=this.expression.evaluate(new Hi(this.zoom),e,{},n,[],i),o=this.expression.evaluate(new Hi(this.zoom+1),e,{},n,[],i),s=this.paintVertexArray.length;this.paintVertexArray.resize(t),this._setPaintValue(s,t,a,o)}updatePaintArray(t,e,r,n){const i=this.expression.evaluate({zoom:this.zoom},r,n),a=this.expression.evaluate({zoom:this.zoom+1},r,n);this._setPaintValue(t,e,i,a)}_setPaintValue(t,e,r,n){if(\"color\"===this.type){const i=Io(r),a=Io(n);for(let r=t;r<e;r++)this.paintVertexArray.emplace(r,i[0],i[1],a[0],a[1])}else{for(let i=t;i<e;i++)this.paintVertexArray.emplace(i,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}}upload(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))}destroy(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()}setUniform(t,e){const r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=m(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)}getBinding(t,e,r){return new So(t,e)}}class Ro{constructor(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i}populatePaintArray(t,e,r){const n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)}updatePaintArray(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)}_setPaintValues(t,e,r,n){if(!n||!r)return;const{min:i,mid:a,max:o}=r,s=n[i],l=n[a],c=n[o];if(s&&l&&c)for(let r=t;r<e;r++)this.zoomInPaintVertexArray.emplace(r,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(r,l.tl[0],l.tl[1],l.br[0],l.br[1],c.tl[0],c.tl[1],c.br[0],c.br[1],l.pixelRatio,c.pixelRatio)}upload(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,po.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,po.members,this.expression.isStateDependent))}destroy(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()}}class Fo{constructor(t,e,r){this.binders={},this._buffers=[];const n=[];for(const i in t.paint._values){if(!r(i))continue;const a=t.paint.get(i);if(!(a instanceof Ji&&hn(a.property.specification)))continue;const o=No(i,t.type),s=a.value,l=a.property.specification.type,c=a.property.useIntegerZoom,u=a.property.specification[\"property-type\"],h=\"cross-faded\"===u||\"cross-faded-data-driven\"===u;if(\"constant\"===s.kind)this.binders[i]=h?new zo(s.value,o):new Po(s.value,o,l),n.push(`/u_${i}`);else if(\"source\"===s.kind||h){const r=jo(i,l,\"source\");this.binders[i]=h?new Ro(s,l,c,e,r,t.id):new Oo(s,o,l,r),n.push(`/a_${i}`)}else{const t=jo(i,l,\"composite\");this.binders[i]=new Do(s,o,l,c,e,t),n.push(`/z_${i}`)}}this.cacheKey=n.sort().join(\"\")}getMaxValue(t){const e=this.binders[t];return e instanceof Oo||e instanceof Do?e.maxValue:0}populatePaintArrays(t,e,r,n,i){for(const a in this.binders){const o=this.binders[a];(o instanceof Oo||o instanceof Do||o instanceof Ro)&&o.populatePaintArray(t,e,r,n,i)}}setConstantPatternPositions(t,e){for(const r in this.binders){const n=this.binders[r];n instanceof zo&&n.setConstantPatternPositions(t,e)}}updatePaintArrays(t,e,r,n,i){let a=!1;for(const o in t){const s=e.getPositions(o);for(const e of s){const s=r.feature(e.index);for(const r in this.binders){const l=this.binders[r];if((l instanceof Oo||l instanceof Do||l instanceof Ro)&&!0===l.expression.isStateDependent){const c=n.paint.get(r);l.expression=c.value,l.updatePaintArray(e.start,e.end,s,t[o],i),a=!0}}}}return a}defines(){const t=[];for(const e in this.binders){const r=this.binders[e];(r instanceof Po||r instanceof zo)&&t.push(...r.uniformNames.map((t=>`#define HAS_UNIFORM_${t}`)))}return t}getBinderAttributes(){const t=[];for(const e in this.binders){const r=this.binders[e];if(r instanceof Oo||r instanceof Do)for(let e=0;e<r.paintVertexAttributes.length;e++)t.push(r.paintVertexAttributes[e].name);else if(r instanceof Ro)for(let e=0;e<po.members.length;e++)t.push(po.members[e].name)}return t}getBinderUniforms(){const t=[];for(const e in this.binders){const r=this.binders[e];if(r instanceof Po||r instanceof zo||r instanceof Do)for(const e of r.uniformNames)t.push(e)}return t}getPaintVertexBuffers(){return this._buffers}getUniforms(t,e){const r=[];for(const n in this.binders){const i=this.binders[n];if(i instanceof Po||i instanceof zo||i instanceof Do)for(const a of i.uniformNames)if(e[a]){const o=i.getBinding(t,e[a],a);r.push({name:a,property:n,binding:o})}}return r}setUniforms(t,e,r,n){for(const{name:t,property:i,binding:a}of e)this.binders[i].setUniform(a,n,r.get(i),t)}updatePaintBuffers(t){this._buffers=[];for(const e in this.binders){const r=this.binders[e];if(t&&r instanceof Ro){const e=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;e&&this._buffers.push(e)}else(r instanceof Oo||r instanceof Do)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}}upload(t){for(const e in this.binders){const r=this.binders[e];(r instanceof Oo||r instanceof Do||r instanceof Ro)&&r.upload(t)}this.updatePaintBuffers()}destroy(){for(const t in this.binders){const e=this.binders[t];(e instanceof Oo||e instanceof Do||e instanceof Ro)&&e.destroy()}}}class Bo{constructor(t,e,r=(()=>!0)){this.programConfigurations={};for(const n of t)this.programConfigurations[n.id]=new Fo(n,e,r);this.needsUpload=!1,this._featureMap=new wo,this._bufferOffset=0}populatePaintArrays(t,e,r,n,i,a){for(const r in this.programConfigurations)this.programConfigurations[r].populatePaintArrays(t,e,n,i,a);void 0!==e.id&&this._featureMap.add(e.id,r,this._bufferOffset,t),this._bufferOffset=t,this.needsUpload=!0}updatePaintArrays(t,e,r,n){for(const i of r)this.needsUpload=this.programConfigurations[i.id].updatePaintArrays(t,this._featureMap,e,i,n)||this.needsUpload}get(t){return this.programConfigurations[t]}upload(t){if(this.needsUpload){for(const e in this.programConfigurations)this.programConfigurations[e].upload(t);this.needsUpload=!1}}destroy(){for(const t in this.programConfigurations)this.programConfigurations[t].destroy()}}function No(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(`${e}-`,\"\").replace(/-/g,\"_\")]}function jo(t,e,r){const n={color:{source:ya,composite:Oa},number:{source:Ca,composite:ya}},i=function(t){return{\"line-pattern\":{source:Qa,composite:Qa},\"fill-pattern\":{source:Qa,composite:Qa},\"fill-extrusion-pattern\":{source:Qa,composite:Qa}}[t]}(t);return 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Ya,this.indexArray=new ao,this.segments=new ho,this.programConfigurations=new Bo(t.layers,t.zoom),this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id))}populate(t,e,r){const n=this.layers[0],i=[];let a=null,o=!1;\"circle\"===n.type&&(a=n.layout.get(\"circle-sort-key\"),o=!a.isConstant());for(const{feature:e,id:n,index:s,sourceLayerIndex:l}of t){const t=this.layers[0]._featureFilter.needGeometry,c=Go(e,t);if(!this.layers[0]._featureFilter.filter(new Hi(this.zoom),c,r))continue;const u=o?a.evaluate(c,{},r):void 0,h={id:n,properties:e.properties,type:e.type,sourceLayerIndex:l,index:s,geometry:t?c.geometry:Ho(e),patterns:{},sortKey:u};i.push(h)}o&&i.sort(((t,e)=>t.sortKey-e.sortKey));for(const n of i){const{geometry:i,index:a,sourceLayerIndex:o}=n,s=t[a].feature;this.addFeature(n,i,a,r),e.featureIndex.insert(s,i,a,o,this.index)}}update(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)}isEmpty(){return 0===this.layoutVertexArray.length}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,lo),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())}addFeature(t,e,r,n){for(const r of e)for(const e of r){const r=e.x,n=e.y;if(r<0||r>=Uo||n<0||n>=Uo)continue;const i=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray,t.sortKey),a=i.vertexLength;Zo(this.layoutVertexArray,r,n,-1,-1),Zo(this.layoutVertexArray,r,n,1,-1),Zo(this.layoutVertexArray,r,n,1,1),Zo(this.layoutVertexArray,r,n,-1,1),this.indexArray.emplaceBack(a,a+1,a+2),this.indexArray.emplaceBack(a,a+3,a+2),i.vertexLength+=4,i.primitiveLength+=2}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,{},n)}}function Yo(t,e){for(let r=0;r<t.length;r++)if(ns(e,t[r]))return!0;for(let r=0;r<e.length;r++)if(ns(t,e[r]))return!0;return!!Ko(t,e)}function Xo(t,e,r){return!!ns(t,e)||!!ts(e,t,r)}function $o(t,e){if(1===t.length)return rs(e,t[0]);for(let r=0;r<e.length;r++){const n=e[r];for(let e=0;e<n.length;e++)if(ns(t,n[e]))return!0}for(let r=0;r<t.length;r++)if(rs(e,t[r]))return!0;for(let r=0;r<e.length;r++)if(Ko(t,e[r]))return!0;return!1}function Jo(t,e,r){if(t.length>1){if(Ko(t,e))return!0;for(let n=0;n<e.length;n++)if(ts(e[n],t,r))return!0}for(let 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Qi(Z.paint_circle[\"circle-translate\"]),\"circle-translate-anchor\":new Qi(Z.paint_circle[\"circle-translate-anchor\"]),\"circle-pitch-scale\":new Qi(Z.paint_circle[\"circle-pitch-scale\"]),\"circle-pitch-alignment\":new Qi(Z.paint_circle[\"circle-pitch-alignment\"]),\"circle-stroke-width\":new ta(Z.paint_circle[\"circle-stroke-width\"]),\"circle-stroke-color\":new ta(Z.paint_circle[\"circle-stroke-color\"]),\"circle-stroke-opacity\":new ta(Z.paint_circle[\"circle-stroke-opacity\"])})},get layout(){return ls=ls||new ia({\"circle-sort-key\":new ta(Z.layout_circle[\"circle-sort-key\"])})}},hs=1e-6,fs=\"undefined\"!=typeof Float32Array?Float32Array:Array;function ps(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}function ds(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],h=e[8],f=e[9],p=e[10],d=e[11],m=e[12],g=e[13],y=e[14],v=e[15],x=r[0],_=r[1],b=r[2],w=r[3];return t[0]=x*n+_*s+b*h+w*m,t[1]=x*i+_*l+b*f+w*g,t[2]=x*a+_*c+b*p+w*y,t[3]=x*o+_*u+b*d+w*v,x=r[4],_=r[5],b=r[6],w=r[7],t[4]=x*n+_*s+b*h+w*m,t[5]=x*i+_*l+b*f+w*g,t[6]=x*a+_*c+b*p+w*y,t[7]=x*o+_*u+b*d+w*v,x=r[8],_=r[9],b=r[10],w=r[11],t[8]=x*n+_*s+b*h+w*m,t[9]=x*i+_*l+b*f+w*g,t[10]=x*a+_*c+b*p+w*y,t[11]=x*o+_*u+b*d+w*v,x=r[12],_=r[13],b=r[14],w=r[15],t[12]=x*n+_*s+b*h+w*m,t[13]=x*i+_*l+b*f+w*g,t[14]=x*a+_*c+b*p+w*y,t[15]=x*o+_*u+b*d+w*v,t}Math.hypot||(Math.hypot=function(){for(var t=0,e=arguments.length;e--;)t+=arguments[e]*arguments[e];return Math.sqrt(t)});var ms=function(t,e,r,n,i){var a,o=1/Math.tan(e/2);return t[0]=o/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=o,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=-1,t[12]=0,t[13]=0,t[15]=0,null!=i&&i!==1/0?(a=1/(n-i),t[10]=(i+n)*a,t[14]=2*i*n*a):(t[10]=-1,t[14]=-2*n),t};var gs=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t};var ys=ds;function vs(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3];return t[0]=r[0]*n+r[4]*i+r[8]*a+r[12]*o,t[1]=r[1]*n+r[5]*i+r[9]*a+r[13]*o,t[2]=r[2]*n+r[6]*i+r[10]*a+r[14]*o,t[3]=r[3]*n+r[7]*i+r[11]*a+r[15]*o,t}var xs,_s=function(t,e,r){return t[0]=e[0]*r[0],t[1]=e[1]*r[1],t[2]=e[2]*r[2],t[3]=e[3]*r[3],t};xs=new fs(4),fs!=Float32Array&&(xs[0]=0,xs[1]=0,xs[2]=0,xs[3]=0);class bs extends oa{constructor(t){super(t,us)}createBucket(t){return new Wo(t)}queryRadius(t){const e=t;return as(\"circle-radius\",this,e)+as(\"circle-stroke-width\",this,e)+os(this.paint.get(\"circle-translate\"))}queryIntersectsFeature(t,e,r,n,i,a,o,s){const l=ss(t,this.paint.get(\"circle-translate\"),this.paint.get(\"circle-translate-anchor\"),a.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 t.map((t=>ws(t,e)))}(l,s),f=u?c*o:c;for(const t of n)for(const e of t){const t=u?e:ws(e,s);let r=f;const n=vs([],[e.x,e.y,0,1],s);if(\"viewport\"===this.paint.get(\"circle-pitch-scale\")&&\"map\"===this.paint.get(\"circle-pitch-alignment\")?r*=n[3]/a.cameraToCenterDistance:\"map\"===this.paint.get(\"circle-pitch-scale\")&&\"viewport\"===this.paint.get(\"circle-pitch-alignment\")&&(r*=a.cameraToCenterDistance/n[3]),Xo(h,t,r))return!0}return!1}}function ws(t,e){const r=vs([],[t.x,t.y,0,1],e);return new a(r[0]/r[3],r[1]/r[3])}class Ts extends Wo{}let ks;Mi(\"HeatmapBucket\",Ts,{omit:[\"layers\"]});var As={get paint(){return ks=ks||new ia({\"heatmap-radius\":new 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ta(Z.paint_fill[\"fill-outline-color\"]),\"fill-translate\":new Qi(Z.paint_fill[\"fill-translate\"]),\"fill-translate-anchor\":new Qi(Z.paint_fill[\"fill-translate-anchor\"]),\"fill-pattern\":new ea(Z.paint_fill[\"fill-pattern\"])})},get layout(){return dl=dl||new ia({\"fill-sort-key\":new ta(Z.layout_fill[\"fill-sort-key\"])})}};class yl extends oa{constructor(t){super(t,gl)}recalculate(t,e){super.recalculate(t,e);const r=this.paint._values[\"fill-outline-color\"];\"constant\"===r.value.kind&&void 0===r.value.value&&(this.paint._values[\"fill-outline-color\"]=this.paint._values[\"fill-color\"])}createBucket(t){return new pl(t)}queryRadius(){return os(this.paint.get(\"fill-translate\"))}queryIntersectsFeature(t,e,r,n,i,a,o){return $o(ss(t,this.paint.get(\"fill-translate\"),this.paint.get(\"fill-translate-anchor\"),a.angle,o),n)}isTileClipped(){return!0}}const vl=ua([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_normal_ed\",components:4,type:\"Int16\"}],4),xl=ua([{name:\"a_centroid\",components:2,type:\"Int16\"}],4),{members:_l,size:bl,alignment:wl}=vl;var Tl={},kl=n,Al=Ml;function Ml(t,e,r,n,i){this.properties={},this.extent=r,this.type=0,this._pbf=t,this._geometry=-1,this._keys=n,this._values=i,t.readFields(Sl,this,e)}function Sl(t,e,r){1==t?e.id=r.readVarint():2==t?function(t,e){for(var r=t.readVarint()+t.pos;t.pos<r;){var n=e._keys[t.readVarint()],i=e._values[t.readVarint()];e.properties[n]=i}}(r,e):3==t?e.type=r.readVarint():4==t&&(e._geometry=r.pos)}function El(t){for(var e,r,n=0,i=0,a=t.length,o=a-1;i<a;o=i++)e=t[i],n+=((r=t[o]).x-e.x)*(e.y+r.y);return n}Ml.types=[\"Unknown\",\"Point\",\"LineString\",\"Polygon\"],Ml.prototype.loadGeometry=function(){var t=this._pbf;t.pos=this._geometry;for(var e,r=t.readVarint()+t.pos,n=1,i=0,a=0,o=0,s=[];t.pos<r;){if(i<=0){var l=t.readVarint();n=7&l,i=l>>3}if(i--,1===n||2===n)a+=t.readSVarint(),o+=t.readSVarint(),1===n&&(e&&s.push(e),e=[]),e.push(new kl(a,o));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&s.push(e),s},Ml.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},Ml.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=Ml.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var 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,i=[],a=0;a<e;a++){var o=El(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var f={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(f.id=this.id),f};var Cl=Al,Ll=Il;function Il(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(Pl,this,e),this.length=this._features.length}function Pl(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))}Il.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 Cl(this._pbf,e,this.extent,this._keys,this._values)};var zl=Ll,Ol=function(t,e){this.layers=t.readFields(Dl,{},e)};function Dl(t,e,r){if(3===t){var n=new zl(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Tl.VectorTile=Ol,Tl.VectorTileFeature=Al,Tl.VectorTileLayer=Ll;const Rl=Tl.VectorTileFeature.types,Fl=Math.pow(2,13);function Bl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Fl)+o,i*Fl*2,a*Fl*2,Math.round(s))}class Nl{constructor(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((t=>t.id)),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new $a,this.centroidVertexArray=new Wa,this.indexArray=new ao,this.programConfigurations=new Bo(t.layers,t.zoom),this.segments=new ho,this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id))}populate(t,e,r){this.features=[],this.hasPattern=hl(\"fill-extrusion\",this.layers,e);for(const{feature:n,id:i,index:a,sourceLayerIndex:o}of t){const t=this.layers[0]._featureFilter.needGeometry,s=Go(n,t);if(!this.layers[0]._featureFilter.filter(new Hi(this.zoom),s,r))continue;const l={id:i,sourceLayerIndex:o,index:a,geometry:t?s.geometry:Ho(n),properties:n.properties,type:n.type,patterns:{}};this.hasPattern?this.features.push(fl(\"fill-extrusion\",this.layers,l,this.zoom,e)):this.addFeature(l,l.geometry,a,r,{}),e.featureIndex.insert(n,l.geometry,a,o,this.index,!0)}}addFeatures(t,e,r){for(const t of this.features){const{geometry:n}=t;this.addFeature(t,n,t.index,e,r)}}update(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)}isEmpty(){return 0===this.layoutVertexArray.length&&0===this.centroidVertexArray.length}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,_l),this.centroidVertexBuffer=t.createVertexBuffer(this.centroidVertexArray,xl.members,!0),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.centroidVertexBuffer.destroy())}addFeature(t,e,r,n,i){for(const r of br(e,500)){const e={x:0,y:0,vertexCount:0};let n=0;for(const t of r)n+=t.length;let i=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray);for(const t of r){if(0===t.length)continue;if(Ul(t))continue;let r=0;for(let n=0;n<t.length;n++){const a=t[n];if(n>=1){const o=t[n-1];if(!jl(a,o)){i.vertexLength+4>ho.MAX_VERTEX_ARRAY_LENGTH&&(i=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));const t=a.sub(o)._perp()._unit(),n=o.dist(a);r+n>32768&&(r=0),Bl(this.layoutVertexArray,a.x,a.y,t.x,t.y,0,0,r),Bl(this.layoutVertexArray,a.x,a.y,t.x,t.y,0,1,r),e.x+=2*a.x,e.y+=2*a.y,e.vertexCount+=2,r+=n,Bl(this.layoutVertexArray,o.x,o.y,t.x,t.y,0,0,r),Bl(this.layoutVertexArray,o.x,o.y,t.x,t.y,0,1,r),e.x+=2*o.x,e.y+=2*o.y,e.vertexCount+=2;const s=i.vertexLength;this.indexArray.emplaceBack(s,s+2,s+1),this.indexArray.emplaceBack(s+1,s+2,s+3),i.vertexLength+=4,i.primitiveLength+=2}}}}if(i.vertexLength+n>ho.MAX_VERTEX_ARRAY_LENGTH&&(i=this.segments.prepareSegment(n,this.layoutVertexArray,this.indexArray)),\"Polygon\"!==Rl[t.type])continue;const a=[],o=[],s=i.vertexLength;for(const t of r)if(0!==t.length){t!==r[0]&&o.push(a.length/2);for(let r=0;r<t.length;r++){const n=t[r];Bl(this.layoutVertexArray,n.x,n.y,0,0,1,1,0),e.x+=n.x,e.y+=n.y,e.vertexCount+=1,a.push(n.x),a.push(n.y)}}const l=js(a,o);for(let t=0;t<l.length;t+=3)this.indexArray.emplaceBack(s+l[t],s+l[t+2],s+l[t+1]);i.primitiveLength+=l.length/3,i.vertexLength+=n;for(let t=0;t<e.vertexCount;t++){const t=Math.floor(e.x/e.vertexCount),r=Math.floor(e.y/e.vertexCount);this.centroidVertexArray.emplaceBack(t,r)}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)}}function jl(t,e){return t.x===e.x&&(t.x<0||t.x>Uo)||t.y===e.y&&(t.y<0||t.y>Uo)}function Ul(t){return t.every((t=>t.x<0))||t.every((t=>t.x>Uo))||t.every((t=>t.y<0))||t.every((t=>t.y>Uo))}let Vl;Mi(\"FillExtrusionBucket\",Nl,{omit:[\"layers\",\"features\"]});var ql={get paint(){return Vl=Vl||new ia({\"fill-extrusion-opacity\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new ta(Z[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ea(Z[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new ta(Z[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new ta(Z[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new Qi(Z[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})}};class Hl extends oa{constructor(t){super(t,ql)}createBucket(t){return new Nl(t)}queryRadius(){return os(this.paint.get(\"fill-extrusion-translate\"))}is3D(){return!0}queryIntersectsFeature(t,e,r,n,i,o,s,l){const c=ss(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){const i=[];for(const r of t){const t=[r.x,r.y,n,1];vs(t,t,e),i.push(new a(t[0]/t[3],t[1]/t[3]))}return i}(c,l,0,0),p=function(t,e,r,n){const 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;for(const e of t){const t=[],r=[];for(const i of e){const e=i.x,o=i.y,m=n[0]*e+n[4]*o+n[12],g=n[1]*e+n[5]*o+n[13],y=n[2]*e+n[6]*o+n[14],v=n[3]*e+n[7]*o+n[15],x=y+c,_=v+u,b=m+h,w=g+f,T=y+p,k=v+d,A=new a((m+s)/_,(g+l)/_);A.z=x/_,t.push(A);const M=new a(b/k,w/k);M.z=T/k,r.push(M)}i.push(t),o.push(r)}return[i,o]}(n,h,u,l);return function(t,e,r){let n=1/0;$o(r,e)&&(n=Zl(r,e[0]));for(let i=0;i<e.length;i++){const a=e[i],o=t[i];for(let t=0;t<a.length-1;t++){const e=a[t],i=a[t+1],s=o[t],l=[e,i,o[t+1],s,e];Yo(r,l)&&(n=Math.min(n,Zl(r,l)))}}return n!==1/0&&n}(p[0],p[1],f)}}function Gl(t,e){return t.x*e.x+t.y*e.y}function Zl(t,e){if(1===t.length){let r=0;const n=e[r++];let i;for(;!i||n.equals(i);)if(i=e[r++],!i)return 1/0;for(;r<e.length;r++){const a=e[r],o=t[0],s=i.sub(n),l=a.sub(n),c=o.sub(n),u=Gl(s,s),h=Gl(s,l),f=Gl(l,l),p=Gl(c,s),d=Gl(c,l),m=u*f-h*h,g=(f*p-h*d)/m,y=(u*d-h*p)/m,v=1-g-y,x=n.z*v+i.z*g+a.z*y;if(isFinite(x))return x}return 1/0}{let t=1/0;for(const r of e)t=Math.min(t,r.z);return t}}const Wl=ua([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4),{members:Yl,size:Xl,alignment:$l}=Wl,Jl=ua([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]),{members:Kl,size:Ql,alignment:tc}=Jl,ec=Tl.VectorTileFeature.types,rc=Math.cos(Math.PI/180*37.5),nc=Math.pow(2,14)/.5;class ic{constructor(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((t=>t.id)),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((t=>{this.gradients[t.id]={}})),this.layoutVertexArray=new Ja,this.layoutVertexArray2=new Ka,this.indexArray=new ao,this.programConfigurations=new Bo(t.layers,t.zoom),this.segments=new ho,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id))}populate(t,e,r){this.hasPattern=hl(\"line\",this.layers,e);const n=this.layers[0].layout.get(\"line-sort-key\"),i=!n.isConstant(),a=[];for(const{feature:e,id:o,index:s,sourceLayerIndex:l}of t){const t=this.layers[0]._featureFilter.needGeometry,c=Go(e,t);if(!this.layers[0]._featureFilter.filter(new Hi(this.zoom),c,r))continue;const u=i?n.evaluate(c,{},r):void 0,h={id:o,properties:e.properties,type:e.type,sourceLayerIndex:l,index:s,geometry:t?c.geometry:Ho(e),patterns:{},sortKey:u};a.push(h)}i&&a.sort(((t,e)=>t.sortKey-e.sortKey));for(const n of a){const{geometry:i,index:a,sourceLayerIndex:o}=n;if(this.hasPattern){const t=fl(\"line\",this.layers,n,this.zoom,e);this.patternFeatures.push(t)}else this.addFeature(n,i,a,r,{});const s=t[a].feature;e.featureIndex.insert(s,i,a,o,this.index)}}update(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)}addFeatures(t,e,r){for(const t of this.patternFeatures)this.addFeature(t,t.geometry,t.index,e,r)}isEmpty(){return 0===this.layoutVertexArray.length}uploadPending(){return!this.uploaded||this.programConfigurations.needsUpload}upload(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,Kl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Yl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())}lineFeatureClips(t){if(t.properties&&Object.prototype.hasOwnProperty.call(t.properties,\"mapbox_clip_start\")&&Object.prototype.hasOwnProperty.call(t.properties,\"mapbox_clip_end\"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}}addFeature(t,e,r,n,i){const a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(t);for(const r of e)this.addLine(r,t,o,s,l,c);this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)}addLine(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(let e=0;e<t.length-1;e++)this.totalDistance+=t[e].dist(t[e+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}const o=\"Polygon\"===ec[e.type];let s=t.length;for(;s>=2&&t[s-1].equals(t[s-2]);)s--;let l=0;for(;l<s-1&&t[l].equals(t[l+1]);)l++;if(s<(o?3:2))return;\"bevel\"===r&&(i=1.05);const c=this.overscaling<=16?15*Uo/(512*this.overscaling):0,u=this.segments.prepareSegment(10*s,this.layoutVertexArray,this.indexArray);let h,f,p,d,m;this.e1=this.e2=-1,o&&(h=t[s-2],m=t[l].sub(h)._unit()._perp());for(let e=l;e<s;e++){if(p=e===s-1?o?t[l+1]:void 0:t[e+1],p&&t[e].equals(p))continue;m&&(d=m),h&&(f=h),h=t[e],m=p?p.sub(h)._unit()._perp():d,d=d||m;let g=d.add(m);0===g.x&&0===g.y||g._unit();const y=d.x*m.x+d.y*m.y,v=g.x*m.x+g.y*m.y,x=0!==v?1/v:1/0,_=2*Math.sqrt(2-2*v),b=v<rc&&f&&p,w=d.x*m.y-d.y*m.x>0;if(b&&e>l){const t=h.dist(f);if(t>2*c){const e=h.sub(h.sub(f)._mult(c/t)._round());this.updateDistance(f,e),this.addCurrentVertex(e,d,0,0,u),f=e}}const T=f&&p;let k=T?r:o?\"butt\":n;if(T&&\"round\"===k&&(x<a?k=\"miter\":x<=2&&(k=\"fakeround\")),\"miter\"===k&&x>i&&(k=\"bevel\"),\"bevel\"===k&&(x>2&&(k=\"flipbevel\"),x<i&&(k=\"miter\")),f&&this.updateDistance(f,h),\"miter\"===k)g._mult(x),this.addCurrentVertex(h,g,0,0,u);else if(\"flipbevel\"===k){if(x>100)g=m.mult(-1);else{const t=x*d.add(m).mag()/d.sub(m).mag();g._perp()._mult(t*(w?-1:1))}this.addCurrentVertex(h,g,0,0,u),this.addCurrentVertex(h,g.mult(-1),0,0,u)}else if(\"bevel\"===k||\"fakeround\"===k){const t=-Math.sqrt(x*x-1),e=w?t:0,r=w?0:t;if(f&&this.addCurrentVertex(h,d,e,r,u),\"fakeround\"===k){const t=Math.round(180*_/Math.PI/20);for(let e=1;e<t;e++){let r=e/t;if(.5!==r){const t=r-.5;r+=r*t*(r-1)*((1.0904+y*(y*(3.55645-1.43519*y)-3.2452))*t*t+(.848013+y*(.215638*y-1.06021)))}const n=m.sub(d)._mult(r)._add(d)._unit()._mult(w?-1:1);this.addHalfVertex(h,n.x,n.y,!1,w,0,u)}}p&&this.addCurrentVertex(h,m,-e,-r,u)}else if(\"butt\"===k)this.addCurrentVertex(h,g,0,0,u);else if(\"square\"===k){const t=f?1:-1;this.addCurrentVertex(h,g,t,t,u)}else\"round\"===k&&(f&&(this.addCurrentVertex(h,d,0,0,u),this.addCurrentVertex(h,d,1,1,u,!0)),p&&(this.addCurrentVertex(h,m,-1,-1,u,!0),this.addCurrentVertex(h,m,0,0,u)));if(b&&e<s-1){const t=h.dist(p);if(t>2*c){const e=h.add(p.sub(h)._mult(c/t)._round());this.updateDistance(h,e),this.addCurrentVertex(e,m,0,0,u),h=e}}}}addCurrentVertex(t,e,r,n,i,a=!1){const o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>nc/2&&0===this.totalDistance&&(this.distance=0,this.updateScaledDistance(),this.addCurrentVertex(t,e,r,n,i,a))}addHalfVertex({x:t,y:e},r,n,i,a,o,s){const l=.5*(this.lineClips?this.scaledDistance*(nc-1):this.scaledDistance);if(this.layoutVertexArray.emplaceBack((t<<1)+(i?1:0),(e<<1)+(a?1:0),Math.round(63*r)+128,Math.round(63*n)+128,1+(0===o?0:o<0?-1:1)|(63&l)<<2,l>>6),this.lineClips){const t=(this.scaledDistance-this.lineClips.start)/(this.lineClips.end-this.lineClips.start);this.layoutVertexArray2.emplaceBack(t,this.lineClipsArray.length)}const 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ra(Z.paint_line[\"line-dasharray\"]),\"line-pattern\":new ea(Z.paint_line[\"line-pattern\"]),\"line-gradient\":new na(Z.paint_line[\"line-gradient\"])})},get layout(){return ac=ac||new ia({\"line-cap\":new Qi(Z.layout_line[\"line-cap\"]),\"line-join\":new ta(Z.layout_line[\"line-join\"]),\"line-miter-limit\":new Qi(Z.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new Qi(Z.layout_line[\"line-round-limit\"]),\"line-sort-key\":new ta(Z.layout_line[\"line-sort-key\"])})}};class lc extends ta{possiblyEvaluate(t,e){return e=new Hi(Math.floor(e.zoom),{now:e.now,fadeDuration:e.fadeDuration,zoomHistory:e.zoomHistory,transition:e.transition}),super.possiblyEvaluate(t,e)}evaluate(t,e,r,n){return e=y({},e,{zoom:Math.floor(e.zoom)}),super.evaluate(t,e,r,n)}}let cc;class uc extends oa{constructor(t){super(t,sc),this.gradientVersion=0,cc||(cc=new lc(sc.paint.properties[\"line-width\"].specification),cc.useIntegerZoom=!0)}_handleSpecialPaintPropertyUpdate(t){if(\"line-gradient\"===t){const 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l=ss(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),c=s/2*hc(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){const r=[];for(let n=0;n<t.length;n++){const i=t[n],o=[];for(let t=0;t<i.length;t++){const r=i[t-1],n=i[t],s=i[t+1],l=0===t?new a(0,0):n.sub(r)._unit()._perp(),c=t===i.length-1?new a(0,0):s.sub(n)._unit()._perp(),u=l._add(c)._unit(),h=u.x*c.x+u.y*c.y;0!==h&&u._mult(1/h),o.push(u._mult(e)._add(n))}r.push(o)}return r}(n,u*s)),function(t,e,r){for(let n=0;n<e.length;n++){const i=e[n];if(t.length>=3)for(let e=0;e<i.length;e++)if(ns(t,i[e]))return!0;if(Jo(t,i,r))return!0}return!1}(l,n,c)}isTileClipped(){return!0}}function hc(t,e){return e>0?e+2*t:t}const 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mc=ua([{name:\"a_pos\",components:2,type:\"Int16\"},{name:\"a_anchor_pos\",components:2,type:\"Int16\"},{name:\"a_extrude\",components:2,type:\"Int16\"}],4),gc=ua([{name:\"a_pos\",components:2,type:\"Float32\"},{name:\"a_radius\",components:1,type:\"Float32\"},{name:\"a_flags\",components:2,type:\"Int16\"}],4);function yc(t,e,r){return t.sections.forEach((t=>{t.text=function(t,e,r){const 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vc={\"!\":\"︕\",\"#\":\"＃\",$:\"＄\",\"%\":\"％\",\"&\":\"＆\",\"(\":\"︵\",\")\":\"︶\",\"*\":\"＊\",\"+\":\"＋\",\",\":\"︐\",\"-\":\"︲\",\".\":\"・\",\"/\":\"／\",\":\":\"︓\",\";\":\"︔\",\"<\":\"︿\",\"=\":\"＝\",\">\":\"﹀\",\"?\":\"︖\",\"@\":\"＠\",\"[\":\"﹇\",\"\\\\\":\"＼\",\"]\":\"﹈\",\"^\":\"＾\",_:\"︳\",\"`\":\"｀\",\"{\":\"︷\",\"|\":\"―\",\"}\":\"︸\",\"~\":\"～\",\"¢\":\"￠\",\"£\":\"￡\",\"¥\":\"￥\",\"¦\":\"￤\",\"¬\":\"￢\",\"¯\":\"￣\",\"–\":\"︲\",\"—\":\"︱\",\"‘\":\"﹃\",\"’\":\"﹄\",\"“\":\"﹁\",\"”\":\"﹂\",\"…\":\"︙\",\"‧\":\"・\",\"₩\":\"￦\",\"、\":\"︑\",\"。\":\"︒\",\"〈\":\"︿\",\"〉\":\"﹀\",\"《\":\"︽\",\"》\":\"︾\",\"「\":\"﹁\",\"」\":\"﹂\",\"『\":\"﹃\",\"』\":\"﹄\",\"【\":\"︻\",\"】\":\"︼\",\"〔\":\"︹\",\"〕\":\"︺\",\"〖\":\"︗\",\"〗\":\"︘\",\"！\":\"︕\",\"（\":\"︵\",\"）\":\"︶\",\"，\":\"︐\",\"－\":\"︲\",\"．\":\"・\",\"：\":\"︓\",\"；\":\"︔\",\"＜\":\"︿\",\"＞\":\"﹀\",\"？\":\"︖\",\"［\":\"﹇\",\"］\":\"﹈\",\"＿\":\"︳\",\"｛\":\"︷\",\"｜\":\"―\",\"｝\":\"︸\",\"｟\":\"︵\",\"｠\":\"︶\",\"｡\":\"︒\",\"｢\":\"﹁\",\"｣\":\"﹂\"};var xc=24,_c=wc,bc={read:function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,h=r?i-1:0,f=r?-1:1,p=t[e+h];for(h+=f,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+h],h+=f,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+h],h+=f,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},write:function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,h=u>>1,f=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,m=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+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,i),o+=h):(s=e*Math.pow(2,h-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*m}};function wc(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new Uint8Array(t||0),this.pos=0,this.type=0,this.length=this.buf.length}wc.Varint=0,wc.Fixed64=1,wc.Bytes=2,wc.Fixed32=5;var Tc=4294967296,kc=1/Tc,Ac=\"undefined\"==typeof TextDecoder?null:new TextDecoder(\"utf-8\");function Mc(t){return t.type===wc.Bytes?t.readVarint()+t.pos:t.pos+1}function Sc(t,e,r){return r?4294967296*e+(t>>>0):4294967296*(e>>>0)+(t>>>0)}function Ec(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 i=r.pos-1;i>=t;i--)r.buf[i+n]=r.buf[i]}function Cc(t,e){for(var r=0;r<t.length;r++)e.writeVarint(t[r])}function Lc(t,e){for(var r=0;r<t.length;r++)e.writeSVarint(t[r])}function Ic(t,e){for(var r=0;r<t.length;r++)e.writeFloat(t[r])}function Pc(t,e){for(var r=0;r<t.length;r++)e.writeDouble(t[r])}function zc(t,e){for(var r=0;r<t.length;r++)e.writeBoolean(t[r])}function Oc(t,e){for(var r=0;r<t.length;r++)e.writeFixed32(t[r])}function Dc(t,e){for(var r=0;r<t.length;r++)e.writeSFixed32(t[r])}function Rc(t,e){for(var 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t.push(this.readSFixed32());var e=Mc(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==wc.Bytes)return t.push(this.readFixed64());var e=Mc(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==wc.Bytes)return t.push(this.readSFixed64());var e=Mc(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===wc.Varint)for(;this.buf[this.pos++]>127;);else if(e===wc.Bytes)this.pos=this.readVarint()+this.pos;else if(e===wc.Fixed32)this.pos+=4;else{if(e!==wc.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),Nc(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),Nc(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),Nc(this.buf,-1&t,this.pos),Nc(this.buf,Math.floor(t*kc),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),Nc(this.buf,-1&t,this.pos),Nc(this.buf,Math.floor(t*kc),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,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Ec(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),bc.write(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),bc.write(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&&Ec(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,wc.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,Cc,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Lc,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,zc,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Ic,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,Pc,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Oc,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Dc,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,Rc,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,Fc,e)},writeBytesField:function(t,e){this.writeTag(t,wc.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,wc.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,wc.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,wc.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,wc.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,wc.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,wc.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,wc.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,wc.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,wc.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var Uc=r(_c);const Vc=3;function qc(t,e,r){1===t&&r.readMessage(Hc,e)}function Hc(t,e,r){if(3===t){const{id:t,bitmap:n,width:i,height:a,left:o,top:s,advance:l}=r.readMessage(Gc,{});e.push({id:t,bitmap:new Cs({width:i+2*Vc,height:a+2*Vc},n),metrics:{width:i,height:a,left:o,top:s,advance:l}})}}function Gc(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())}const Zc=Vc;function Wc(t){let e=0,r=0;for(const n of t)e+=n.w*n.h,r=Math.max(r,n.w);t.sort(((t,e)=>e.h-t.h));const n=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}];let i=0,a=0;for(const e of t)for(let t=n.length-1;t>=0;t--){const r=n[t];if(!(e.w>r.w||e.h>r.h)){if(e.x=r.x,e.y=r.y,a=Math.max(a,e.y+e.h),i=Math.max(i,e.x+e.w),e.w===r.w&&e.h===r.h){const e=n.pop();t<n.length&&(n[t]=e)}else 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10===t&&(n-=1e4),r&&(n+=150),40!==t&&65288!==t||(n+=50),41!==e&&65289!==e||(n+=50),n}function lu(t,e,r,n,i,a){let o=null,s=ou(e,r,i,a);for(const t of n){const n=ou(e-t.x,r,i,a)+t.badness;n<=s&&(o=t,s=n)}return{index:t,x:e,priorBreak:o,badness:s}}function cu(t){return t?cu(t.priorBreak).concat(t.index):[]}function uu(t,e,r,n,i,a){if(!t)return[];const o=[],s=function(t,e,r,n,i,a){let o=0;for(let r=0;r<t.length();r++){const s=t.getSection(r);o+=au(t.getCharCode(r),s,n,i,e,a)}return o/Math.max(1,Math.ceil(o/r))}(t,e,r,n,i,a),l=t.text.indexOf(\"​\")>=0;let c=0;for(let r=0;r<t.length();r++){const h=t.getSection(r),f=t.getCharCode(r);if(ru[f]||(c+=au(f,h,n,i,e,a)),r<t.length()-1){const e=!((u=f)<11904||!(zi[\"Bopomofo Extended\"](u)||zi.Bopomofo(u)||zi[\"CJK Compatibility Forms\"](u)||zi[\"CJK Compatibility Ideographs\"](u)||zi[\"CJK Compatibility\"](u)||zi[\"CJK Radicals Supplement\"](u)||zi[\"CJK Strokes\"](u)||zi[\"CJK Symbols and Punctuation\"](u)||zi[\"CJK Unified Ideographs Extension A\"](u)||zi[\"CJK Unified Ideographs\"](u)||zi[\"Enclosed CJK Letters and Months\"](u)||zi[\"Halfwidth and Fullwidth Forms\"](u)||zi.Hiragana(u)||zi[\"Ideographic Description Characters\"](u)||zi[\"Kangxi Radicals\"](u)||zi[\"Katakana Phonetic Extensions\"](u)||zi.Katakana(u)||zi[\"Vertical Forms\"](u)||zi[\"Yi Radicals\"](u)||zi[\"Yi Syllables\"](u)));(nu[f]||e||h.imageName||r!==t.length()-2&&iu[t.getCharCode(r+1)])&&o.push(lu(r+1,c,s,o,su(f,t.getCharCode(r+1),e&&l),!1))}}var u;return cu(lu(t.length(),c,s,o,0,!0))}function hu(t){let e=.5,r=.5;switch(t){case\"right\":case\"top-right\":case\"bottom-right\":e=1;break;case\"left\":case\"top-left\":case\"bottom-left\":e=0}switch(t){case\"bottom\":case\"bottom-right\":case\"bottom-left\":r=1;break;case\"top\":case\"top-right\":case\"top-left\":r=0}return{horizontalAlign:e,verticalAlign:r}}function fu(t,e,r,n,i){if(!n&&!i)return;const a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n;for(let n=e;n<=r;n++)t[n].x-=s,t[n].y+=i}function pu(t,e,r){const{horizontalAlign:n,verticalAlign:i}=hu(r),a=e[0],o=e[1],s=a-t.displaySize[0]*n,l=s+t.displaySize[0],c=o-t.displaySize[1]*i;return{image:t,top:c,bottom:c+t.displaySize[1],left:s,right:l}}function du(t){var e,r;let n=t.left,i=t.top,a=t.right-n,o=t.bottom-i;const s=t.image.content[2]-t.image.content[0],l=t.image.content[3]-t.image.content[1],c=null!==(e=t.image.textFitWidth)&&void 0!==e?e:\"stretchOrShrink\",u=null!==(r=t.image.textFitHeight)&&void 0!==r?r:\"stretchOrShrink\",h=s/l;if(\"proportional\"===u){if(\"stretchOnly\"===c&&a/o<h||\"proportional\"===c){const t=Math.ceil(o*h);n*=t/a,a=t}}else if(\"proportional\"===c&&\"stretchOnly\"===u&&0!==h&&a/o>h){const t=Math.ceil(a/h);i*=t/o,o=t}return{x1:n,y1:i,x2:n+a,y2:i+o}}function mu(t,e,r,n,i,a){const o=t.image;let s;if(o.content){const t=o.content,e=o.pixelRatio||1;s=[t[0]/e,t[1]/e,o.displaySize[0]-t[2]/e,o.displaySize[1]-t[3]/e]}const l=e.left*a,c=e.right*a;let u,h,f,p;\"width\"===r||\"both\"===r?(p=i[0]+l-n[3],h=i[0]+c+n[1]):(p=i[0]+(l+c-o.displaySize[0])/2,h=p+o.displaySize[0]);const d=e.top*a,m=e.bottom*a;return\"height\"===r||\"both\"===r?(u=i[1]+d-n[0],f=i[1]+m+n[2]):(u=i[1]+(d+m-o.displaySize[1])/2,f=u+o.displaySize[1]),{image:o,top:u,right:h,bottom:f,left:p,collisionPadding:s}}const gu=255,yu=128,vu=gu*yu;function xu(t,e){const{expression:r}=e;if(\"constant\"===r.kind)return{kind:\"constant\",layoutSize:r.evaluate(new Hi(t+1))};if(\"source\"===r.kind)return{kind:\"source\"};{const{zoomStops:e,interpolationType:n}=r;let i=0;for(;i<e.length&&e[i]<=t;)i++;i=Math.max(0,i-1);let a=i;for(;a<e.length&&e[a]<t+1;)a++;a=Math.min(e.length-1,a);const o=e[i],s=e[a];return\"composite\"===r.kind?{kind:\"composite\",minZoom:o,maxZoom:s,interpolationType:n}:{kind:\"camera\",minZoom:o,maxZoom:s,minSize:r.evaluate(new Hi(o)),maxSize:r.evaluate(new Hi(s)),interpolationType:n}}}function _u(t,e,r){let n=\"never\";const i=t.get(e);return i?n=i:t.get(r)&&(n=\"always\"),n}const bu=Tl.VectorTileFeature.types,wu=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function Tu(t,e,r,n,i,a,o,s,l,c,u,h,f){const p=s?Math.min(vu,Math.round(s[0])):0,d=s?Math.min(vu,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*h,256*f)}function ku(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Au(t){for(const e of t.sections)if(Vi(e.text))return!0;return!1}class Mu{constructor(t){this.layoutVertexArray=new to,this.indexArray=new ao,this.programConfigurations=t,this.segments=new ho,this.dynamicLayoutVertexArray=new eo,this.opacityVertexArray=new ro,this.hasVisibleVertices=!1,this.placedSymbolArray=new Ba}isEmpty(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length}upload(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,fc.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,pc.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,wu,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())}}Mi(\"SymbolBuffers\",Mu);class Su{constructor(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new ho,this.collisionVertexArray=new io}upload(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,dc.members,!0)}destroy(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())}}Mi(\"CollisionBuffers\",Su);class Eu{constructor(e){this.collisionBoxArray=e.collisionBoxArray,this.zoom=e.zoom,this.overscaling=e.overscaling,this.layers=e.layers,this.layerIds=this.layers.map((t=>t.id)),this.index=e.index,this.pixelRatio=e.pixelRatio,this.sourceLayerIndex=e.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ps([]),this.placementViewportMatrix=ps([]);const r=this.layers[0]._unevaluatedLayout._values;this.textSizeData=xu(this.zoom,r[\"text-size\"]),this.iconSizeData=xu(this.zoom,r[\"icon-size\"]);const n=this.layers[0].layout,i=n.get(\"symbol-sort-key\"),a=n.get(\"symbol-z-order\");this.canOverlap=\"never\"!==_u(n,\"text-overlap\",\"text-allow-overlap\")||\"never\"!==_u(n,\"icon-overlap\",\"icon-allow-overlap\")||n.get(\"text-ignore-placement\")||n.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=\"viewport-y\"!==a&&!i.isConstant();const o=\"viewport-y\"===a||\"auto\"===a&&!this.sortFeaturesByKey;this.sortFeaturesByY=o&&this.canOverlap,\"point\"===n.get(\"symbol-placement\")&&(this.writingModes=n.get(\"text-writing-mode\").map((e=>t.ai[e]))),this.stateDependentLayerIds=this.layers.filter((t=>t.isStateDependent())).map((t=>t.id)),this.sourceID=e.sourceID}createArrays(){this.text=new Mu(new Bo(this.layers,this.zoom,(t=>/^text/.test(t)))),this.icon=new Mu(new Bo(this.layers,this.zoom,(t=>/^icon/.test(t)))),this.glyphOffsetArray=new Ua,this.lineVertexArray=new Va,this.symbolInstances=new ja,this.textAnchorOffsets=new Ha}calculateGlyphDependencies(t,e,r,n,i){for(let a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){const r=vc[t.charAt(a)];r&&(e[r.charCodeAt(0)]=!0)}}populate(e,r,n){const i=this.layers[0],a=i.layout,o=a.get(\"text-font\"),s=a.get(\"text-field\"),l=a.get(\"icon-image\"),c=(\"constant\"!==s.value.kind||s.value.value instanceof Kt&&!s.value.value.isEmpty()||s.value.value.toString().length>0)&&(\"constant\"!==o.value.kind||o.value.value.length>0),u=\"constant\"!==l.value.kind||!!l.value.value||Object.keys(l.parameters).length>0,h=a.get(\"symbol-sort-key\");if(this.features=[],!c&&!u)return;const f=r.iconDependencies,p=r.glyphDependencies,d=r.availableImages,m=new Hi(this.zoom);for(const{feature:r,id:s,index:l,sourceLayerIndex:g}of e){const e=i._featureFilter.needGeometry,y=Go(r,e);if(!i._featureFilter.filter(m,y,n))continue;let v,x;if(e||(y.geometry=Ho(r)),c){const t=i.getValueAndResolveTokens(\"text-field\",y,n,d),e=Kt.factory(t),r=this.hasRTLText=this.hasRTLText||Au(e);(!r||\"unavailable\"===qi.getRTLTextPluginStatus()||r&&qi.isParsed())&&(v=yc(e,i,y))}if(u){const t=i.getValueAndResolveTokens(\"icon-image\",y,n,d);x=t instanceof re?t:re.fromString(t)}if(!v&&!x)continue;const _=this.sortFeaturesByKey?h.evaluate(y,{},n):void 0,b={id:s,text:v,icon:x,index:l,sourceLayerIndex:g,geometry:y.geometry,properties:r.properties,type:bu[r.type],sortKey:_};if(this.features.push(b),x&&(f[x.name]=!0),v){const e=o.evaluate(y,{},n).join(\",\"),r=\"viewport\"!==a.get(\"text-rotation-alignment\")&&\"point\"!==a.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(t.ai.vertical)>=0;for(const t of v.sections)if(t.image)f[t.image.name]=!0;else{const n=Oi(v.toString()),i=t.fontStack||e,a=p[i]=p[i]||{};this.calculateGlyphDependencies(t.text,a,r,this.allowVerticalPlacement,n)}}}\"line\"===a.get(\"symbol-placement\")&&(this.features=function(t){const e={},r={},n=[];let i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){const a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){const a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){const n=r?e[0][e[0].length-1]:e[0][0];return`${t}:${n.x}:${n.y}`}for(let c=0;c<t.length;c++){const u=t[c],h=u.geometry,f=u.text?u.text.toString():null;if(!f){a(c);continue}const p=l(f,h),d=l(f,h,!0);if(p in r&&d in e&&r[p]!==e[d]){const t=s(p,d,h),i=o(p,d,n[t].geometry);delete e[p],delete r[d],r[l(f,n[i].geometry,!0)]=i,n[t].geometry=null}else p in r?o(p,d,h):d in e?s(p,d,h):(a(c),e[p]=i-1,r[d]=i-1)}return n.filter((t=>t.geometry))}(this.features)),this.sortFeaturesByKey&&this.features.sort(((t,e)=>t.sortKey-e.sortKey))}update(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))}isEmpty(){return 0===this.symbolInstances.length&&!this.hasRTLText}uploadPending(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload}upload(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0}destroyDebugData(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()}destroy(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()}addToLineVertexArray(t,e){const r=this.lineVertexArray.length;if(void 0!==t.segment){let r=t.dist(e[t.segment+1]),n=t.dist(e[t.segment]);const i={};for(let n=t.segment+1;n<e.length;n++)i[n]={x:e[n].x,y:e[n].y,tileUnitDistanceFromAnchor:r},n<e.length-1&&(r+=e[n+1].dist(e[n]));for(let r=t.segment||0;r>=0;r--)i[r]={x:e[r].x,y:e[r].y,tileUnitDistanceFromAnchor:n},r>0&&(n+=e[r-1].dist(e[r]));for(let t=0;t<e.length;t++){const e=i[t];this.lineVertexArray.emplaceBack(e.x,e.y,e.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}}addSymbols(e,r,n,i,a,o,s,l,c,u,h,f){const p=e.indexArray,d=e.layoutVertexArray,m=e.segments.prepareSegment(4*r.length,d,p,this.canOverlap?o.sortKey:void 0),g=this.glyphOffsetArray.length,y=m.vertexLength,v=this.allowVerticalPlacement&&s===t.ai.vertical?Math.PI/2:0,x=o.text&&o.text.sections;for(let t=0;t<r.length;t++){const{tl:i,tr:a,bl:s,br:c,tex:u,pixelOffsetTL:h,pixelOffsetBR:g,minFontScaleX:y,minFontScaleY:_,glyphOffset:b,isSDF:w,sectionIndex:T}=r[t],k=m.vertexLength,A=b[1];Tu(d,l.x,l.y,i.x,A+i.y,u.x,u.y,n,w,h.x,h.y,y,_),Tu(d,l.x,l.y,a.x,A+a.y,u.x+u.w,u.y,n,w,g.x,h.y,y,_),Tu(d,l.x,l.y,s.x,A+s.y,u.x,u.y+u.h,n,w,h.x,g.y,y,_),Tu(d,l.x,l.y,c.x,A+c.y,u.x+u.w,u.y+u.h,n,w,g.x,g.y,y,_),ku(e.dynamicLayoutVertexArray,l,v),p.emplaceBack(k,k+1,k+2),p.emplaceBack(k+1,k+2,k+3),m.vertexLength+=4,m.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(b[0]),t!==r.length-1&&T===r[t+1].sectionIndex||e.programConfigurations.populatePaintArrays(d.length,o,o.index,{},f,x&&x[T])}e.placedSymbolArray.emplaceBack(l.x,l.y,g,this.glyphOffsetArray.length-g,y,c,u,l.segment,n?n[0]:0,n?n[1]:0,i[0],i[1],s,0,!1,0,h)}_addCollisionDebugVertex(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))}addCollisionDebugVertices(t,e,r,n,i,o,s){const l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),c=l.vertexLength,u=i.layoutVertexArray,h=i.collisionVertexArray,f=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,h,o,f,p,new a(t,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,e)),this._addCollisionDebugVertex(u,h,o,f,p,new a(r,n)),this._addCollisionDebugVertex(u,h,o,f,p,new a(t,n)),l.vertexLength+=4;const d=i.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4}addDebugCollisionBoxes(t,e,r,n){for(let i=t;i<e;i++){const t=this.collisionBoxArray.get(i),e=t.x1,a=t.y1,o=t.x2,s=t.y2;this.addCollisionDebugVertices(e,a,o,s,n?this.textCollisionBox:this.iconCollisionBox,t.anchorPoint,r)}}generateCollisionDebugBuffers(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Su(no,mc.members,oo),this.iconCollisionBox=new Su(no,mc.members,oo);for(let t=0;t<this.symbolInstances.length;t++){const e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}}_deserializeCollisionBoxesForSymbol(t,e,r,n,i,a,o,s,l){const c={};for(let n=e;n<r;n++){const e=t.get(n);c.textBox={x1:e.x1,y1:e.y1,x2:e.x2,y2:e.y2,anchorPointX:e.anchorPointX,anchorPointY:e.anchorPointY},c.textFeatureIndex=e.featureIndex;break}for(let e=n;e<i;e++){const r=t.get(e);c.verticalTextBox={x1:r.x1,y1:r.y1,x2:r.x2,y2:r.y2,anchorPointX:r.anchorPointX,anchorPointY:r.anchorPointY},c.verticalTextFeatureIndex=r.featureIndex;break}for(let e=a;e<o;e++){const r=t.get(e);c.iconBox={x1:r.x1,y1:r.y1,x2:r.x2,y2:r.y2,anchorPointX:r.anchorPointX,anchorPointY:r.anchorPointY},c.iconFeatureIndex=r.featureIndex;break}for(let e=s;e<l;e++){const r=t.get(e);c.verticalIconBox={x1:r.x1,y1:r.y1,x2:r.x2,y2:r.y2,anchorPointX:r.anchorPointX,anchorPointY:r.anchorPointY},c.verticalIconFeatureIndex=r.featureIndex;break}return c}deserializeCollisionBoxes(t){this.collisionArrays=[];for(let e=0;e<this.symbolInstances.length;e++){const r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}}hasTextData(){return this.text.segments.get().length>0}hasIconData(){return this.icon.segments.get().length>0}hasDebugData(){return this.textCollisionBox&&this.iconCollisionBox}hasTextCollisionBoxData(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0}hasIconCollisionBoxData(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0}addIndicesForPlacedSymbol(t,e){const r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs;for(let e=r.vertexStartIndex;e<n;e+=4)t.indexArray.emplaceBack(e,e+1,e+2),t.indexArray.emplaceBack(e+1,e+2,e+3)}getSortedSymbolIndexes(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;const e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[];for(let t=0;t<this.symbolInstances.length;++t){a.push(t);const o=this.symbolInstances.get(t);n.push(0|Math.round(e*o.anchorX+r*o.anchorY)),i.push(o.featureIndex)}return a.sort(((t,e)=>n[t]-n[e]||i[e]-i[t])),a}addToSortKeyRanges(t,e){const r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})}sortFeatures(t){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(const t of this.symbolInstanceIndexes){const e=this.symbolInstances.get(t);this.featureSortOrder.push(e.featureIndex),[e.rightJustifiedTextSymbolIndex,e.centerJustifiedTextSymbolIndex,e.leftJustifiedTextSymbolIndex].forEach(((t,e,r)=>{t>=0&&r.indexOf(t)===e&&this.addIndicesForPlacedSymbol(this.text,t)})),e.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,e.verticalPlacedTextSymbolIndex),e.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,e.placedIconSymbolIndex),e.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,e.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}}}let Cu;Mi(\"SymbolBucket\",Eu,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Eu.MAX_GLYPHS=65535,Eu.addDynamicAttributes=ku;let Lu;var Iu={get paint(){return Lu=Lu||new ia({\"icon-opacity\":new ta(Z.paint_symbol[\"icon-opacity\"]),\"icon-color\":new ta(Z.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new ta(Z.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new ta(Z.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new ta(Z.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new Qi(Z.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new Qi(Z.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new ta(Z.paint_symbol[\"text-opacity\"]),\"text-color\":new ta(Z.paint_symbol[\"text-color\"],{runtimeType:ft,getOverride:t=>t.textColor,hasOverride:t=>!!t.textColor}),\"text-halo-color\":new ta(Z.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new ta(Z.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new ta(Z.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new Qi(Z.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new Qi(Z.paint_symbol[\"text-translate-anchor\"])})},get layout(){return Cu=Cu||new ia({\"symbol-placement\":new Qi(Z.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new Qi(Z.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new Qi(Z.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new ta(Z.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new Qi(Z.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new Qi(Z.layout_symbol[\"icon-allow-overlap\"]),\"icon-overlap\":new Qi(Z.layout_symbol[\"icon-overlap\"]),\"icon-ignore-placement\":new Qi(Z.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new Qi(Z.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new Qi(Z.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new ta(Z.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new Qi(Z.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new Qi(Z.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new ta(Z.layout_symbol[\"icon-image\"]),\"icon-rotate\":new ta(Z.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new ta(Z.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new Qi(Z.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new ta(Z.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new ta(Z.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new Qi(Z.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new Qi(Z.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new Qi(Z.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new ta(Z.layout_symbol[\"text-field\"]),\"text-font\":new ta(Z.layout_symbol[\"text-font\"]),\"text-size\":new ta(Z.layout_symbol[\"text-size\"]),\"text-max-width\":new ta(Z.layout_symbol[\"text-max-width\"]),\"text-line-height\":new Qi(Z.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new ta(Z.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new ta(Z.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new ta(Z.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new Qi(Z.layout_symbol[\"text-variable-anchor\"]),\"text-variable-anchor-offset\":new ta(Z.layout_symbol[\"text-variable-anchor-offset\"]),\"text-anchor\":new ta(Z.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new Qi(Z.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new Qi(Z.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new ta(Z.layout_symbol[\"text-rotate\"]),\"text-padding\":new Qi(Z.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new Qi(Z.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new ta(Z.layout_symbol[\"text-transform\"]),\"text-offset\":new ta(Z.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new Qi(Z.layout_symbol[\"text-allow-overlap\"]),\"text-overlap\":new Qi(Z.layout_symbol[\"text-overlap\"]),\"text-ignore-placement\":new Qi(Z.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new Qi(Z.layout_symbol[\"text-optional\"])})}};class Pu{constructor(t){if(void 0===t.property.overrides)throw new Error(\"overrides must be provided to instantiate FormatSectionOverride class\");this.type=t.property.overrides?t.property.overrides.runtimeType:lt,this.defaultValue=t}evaluate(t){if(t.formattedSection){const 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}eachChild(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)}outputDefined(){return!1}serialize(){return null}}Mi(\"FormatSectionOverride\",Pu,{omit:[\"defaultValue\"]});class zu extends oa{constructor(t){super(t,Iu)}recalculate(t,e){if(super.recalculate(t,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\"]=\"map\"===this.layout.get(\"text-rotation-alignment\")?\"map\":\"viewport\"),\"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\")){const t=this.layout.get(\"text-writing-mode\");if(t){const e=[];for(const r of t)e.indexOf(r)<0&&e.push(r);this.layout._values[\"text-writing-mode\"]=e}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()}getValueAndResolveTokens(t,e,r,n){const i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||kn(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,((e,r)=>t&&r in t?String(t[r]):\"\"))}(e.properties,i)}createBucket(t){return new Eu(t)}queryRadius(){return 0}queryIntersectsFeature(){throw new Error(\"Should take a different path in FeatureIndex\")}_setPaintOverrides(){for(const t of Iu.paint.overridableProperties){if(!zu.hasPaintOverride(this.layout,t))continue;const e=this.paint.get(t),r=new Pu(e),n=new Tn(r,e.property.specification);let i=null;i=\"constant\"===e.value.kind||\"source\"===e.value.kind?new Mn(\"source\",n):new Sn(\"composite\",n,e.value.zoomStops),this.paint._values[t]=new Ji(e.property,i,e.parameters)}}_handleOverridablePaintPropertyUpdate(t,e,r){return!(!this.layout||e.isDataDriven()||r.isDataDriven())&&zu.hasPaintOverride(this.layout,t)}static hasPaintOverride(t,e){const r=t.get(\"text-field\"),n=Iu.paint.properties[e];let i=!1;const a=t=>{for(const e of t)if(n.overrides&&n.overrides.hasOverride(e))return void(i=!0)};if(\"constant\"===r.value.kind&&r.value.value instanceof Kt)a(r.value.value.sections);else if(\"source\"===r.value.kind){const t=e=>{if(!i)if(e instanceof se&&ae(e.value)===gt){const t=e.value;a(t.sections)}else e instanceof We?a(e.sections):e.eachChild(t)},e=r.value;e._styleExpression&&t(e._styleExpression.expression)}return i}}let Ou;var Du={get paint(){return Ou=Ou||new ia({\"background-color\":new Qi(Z.paint_background[\"background-color\"]),\"background-pattern\":new ra(Z.paint_background[\"background-pattern\"]),\"background-opacity\":new Qi(Z.paint_background[\"background-opacity\"])})}};class Ru extends oa{constructor(t){super(t,Du)}}let Fu;var Bu={get paint(){return Fu=Fu||new ia({\"raster-opacity\":new Qi(Z.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new Qi(Z.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new Qi(Z.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new Qi(Z.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new Qi(Z.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new Qi(Z.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new Qi(Z.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new Qi(Z.paint_raster[\"raster-fade-duration\"])})}};class Nu extends oa{constructor(t){super(t,Bu)}}class ju extends oa{constructor(t){super(t,{}),this.onAdd=t=>{this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},this.onRemove=t=>{this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},this.implementation=t}is3D(){return\"3d\"===this.implementation.renderingMode}hasOffscreenPass(){return void 0!==this.implementation.prerender}recalculate(){}updateTransitions(){}hasTransition(){return!1}serialize(){throw new Error(\"Custom layers cannot be serialized\")}}class Uu{constructor(t){this._methodToThrottle=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=()=>{this._triggered=!1,this._methodToThrottle()})}trigger(){this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((()=>{this._triggered=!1,this._methodToThrottle()}),0))}remove(){delete this._channel,this._methodToThrottle=()=>{}}}const Vu=6371008.8;class qu{constructor(t,e){if(isNaN(t)||isNaN(e))throw new Error(`Invalid LngLat object: (${t}, ${e})`);if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")}wrap(){return new qu(g(this.lng,-180,180),this.lat)}toArray(){return[this.lng,this.lat]}toString(){return`LngLat(${this.lng}, ${this.lat})`}distanceTo(t){const e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return Vu*Math.acos(Math.min(i,1))}static convert(t){if(t instanceof qu)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new qu(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new qu(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>]\")}}const Hu=2*Math.PI*Vu;function Gu(t){return Hu*Math.cos(t*Math.PI/180)}function Zu(t){return(180+t)/360}function Wu(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Yu(t,e){return t/Gu(e)}function Xu(t){const e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}class $u{constructor(t,e,r=0){this.x=+t,this.y=+e,this.z=+r}static fromLngLat(t,e=0){const r=qu.convert(t);return new $u(Zu(r.lng),Wu(r.lat),Yu(e,r.lat))}toLngLat(){return new qu(360*this.x-180,Xu(this.y))}toAltitude(){return t=this.z,e=this.y,t*Gu(Xu(e));var t,e}meterInMercatorCoordinateUnits(){return 1/Hu*(t=Xu(this.y),1/Math.cos(t*Math.PI/180));var t}}function Ju(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}class Ku{constructor(t,e,r){if(t<0||t>25||r<0||r>=Math.pow(2,t)||e<0||e>=Math.pow(2,t))throw new Error(`x=${e}, y=${r}, z=${t} outside of bounds. 0<=x<${Math.pow(2,t)}, 0<=y<${Math.pow(2,t)} 0<=z<=25 `);this.z=t,this.x=e,this.y=r,this.key=eh(0,t,t,e,r)}equals(t){return this.z===t.z&&this.x===t.x&&this.y===t.y}url(t,e,r){const n=(a=this.x,o=this.y,s=this.z,l=Ju(256*a,256*(o=Math.pow(2,s)-o-1),s),c=Ju(256*(a+1),256*(o+1),s),l[0]+\",\"+l[1]+\",\"+c[0]+\",\"+c[1]),i=function(t,e,r){let n,i=\"\";for(let a=t;a>0;a--)n=1<<a-1,i+=(e&n?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);var a,o,s,l,c;return t[(this.x+this.y)%t.length].replace(/{prefix}/g,(this.x%16).toString(16)+(this.y%16).toString(16)).replace(/{z}/g,String(this.z)).replace(/{x}/g,String(this.x)).replace(/{y}/g,String(\"tms\"===r?Math.pow(2,this.z)-this.y-1:this.y)).replace(/{ratio}/g,e>1?\"@2x\":\"\").replace(/{quadkey}/g,i).replace(/{bbox-epsg-3857}/g,n)}isChildOf(t){const e=this.z-t.z;return e>0&&t.x===this.x>>e&&t.y===this.y>>e}getTilePoint(t){const e=Math.pow(2,this.z);return new a((t.x*e-this.x)*Uo,(t.y*e-this.y)*Uo)}toString(){return`${this.z}/${this.x}/${this.y}`}}class Qu{constructor(t,e){this.wrap=t,this.canonical=e,this.key=eh(t,e.z,e.z,e.x,e.y)}}class th{constructor(t,e,r,n,i){if(t<r)throw new Error(`overscaledZ should be >= z; overscaledZ = ${t}; z = ${r}`);this.overscaledZ=t,this.wrap=e,this.canonical=new Ku(r,+n,+i),this.key=eh(e,t,r,n,i)}clone(){return new th(this.overscaledZ,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)}equals(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)}scaledTo(t){if(t>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${t}; overscaledZ = ${this.overscaledZ}`);const e=this.canonical.z-t;return t>this.canonical.z?new th(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new th(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)}calculateScaledKey(t,e){if(t>this.overscaledZ)throw new Error(`targetZ > this.overscaledZ; targetZ = ${t}; overscaledZ = ${this.overscaledZ}`);const r=this.canonical.z-t;return t>this.canonical.z?eh(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):eh(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)}isChildOf(t){if(t.wrap!==this.wrap)return!1;const e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e}children(t){if(this.overscaledZ>=t)return[new th(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];const e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new th(e,this.wrap,e,r,n),new th(e,this.wrap,e,r+1,n),new th(e,this.wrap,e,r,n+1),new th(e,this.wrap,e,r+1,n+1)]}isLessThan(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))}wrapped(){return new th(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)}unwrapTo(t){return new th(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)}overscaleFactor(){return Math.pow(2,this.overscaledZ-this.canonical.z)}toUnwrapped(){return new Qu(this.wrap,this.canonical)}toString(){return`${this.overscaledZ}/${this.canonical.x}/${this.canonical.y}`}getTilePoint(t){return this.canonical.getTilePoint(new $u(t.x-this.wrap,t.y))}}function eh(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);const a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}Mi(\"CanonicalTileID\",Ku),Mi(\"OverscaledTileID\",th,{omit:[\"posMatrix\"]});class rh{constructor(t,e,r,n=1,i=1,a=1,o=0){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&![\"mapbox\",\"terrarium\",\"custom\"].includes(r))return void T(`\"${r}\" is not a valid encoding type. Valid types include \"mapbox\", \"terrarium\" and \"custom\".`);this.stride=e.height;const s=this.dim=e.height-2;switch(this.data=new Uint32Array(e.data.buffer),r){case\"terrarium\":this.redFactor=256,this.greenFactor=1,this.blueFactor=1/256,this.baseShift=32768;break;case\"custom\":this.redFactor=n,this.greenFactor=i,this.blueFactor=a,this.baseShift=o;break;default:this.redFactor=6553.6,this.greenFactor=25.6,this.blueFactor=.1,this.baseShift=1e4}for(let t=0;t<s;t++)this.data[this._idx(-1,t)]=this.data[this._idx(0,t)],this.data[this._idx(s,t)]=this.data[this._idx(s-1,t)],this.data[this._idx(t,-1)]=this.data[this._idx(t,0)],this.data[this._idx(t,s)]=this.data[this._idx(t,s-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(s,-1)]=this.data[this._idx(s-1,0)],this.data[this._idx(-1,s)]=this.data[this._idx(0,s-1)],this.data[this._idx(s,s)]=this.data[this._idx(s-1,s-1)],this.min=Number.MAX_SAFE_INTEGER,this.max=Number.MIN_SAFE_INTEGER;for(let t=0;t<s;t++)for(let e=0;e<s;e++){const r=this.get(t,e);r>this.max&&(this.max=r),r<this.min&&(this.min=r)}}get(t,e){const r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return this.unpack(r[n],r[n+1],r[n+2])}getUnpackVector(){return[this.redFactor,this.greenFactor,this.blueFactor,this.baseShift]}_idx(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)}unpack(t,e,r){return t*this.redFactor+e*this.greenFactor+r*this.blueFactor-this.baseShift}getPixels(){return new Ls({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))}backfillBorder(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");let n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}const s=-e*this.dim,l=-r*this.dim;for(let e=a;e<o;e++)for(let r=n;r<i;r++)this.data[this._idx(r,e)]=t.data[this._idx(r+s,e+l)]}}Mi(\"DEMData\",rh);class nh{constructor(t){this._stringToNumber={},this._numberToString=[];for(let e=0;e<t.length;e++){const r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}}encode(t){return this._stringToNumber[t]}decode(t){if(t>=this._numberToString.length)throw new Error(`Out of bounds. Index requested n=${t} can't be >= this._numberToString.length ${this._numberToString.length}`);return this._numberToString[t]}}class ih{constructor(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i}get geometry(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry}set geometry(t){this._geometry=t}toJSON(){const t={geometry:this.geometry};for(const e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t}}class ah{constructor(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ki(Uo,16,0),this.grid3D=new ki(Uo,16,0),this.featureIndexArray=new Za,this.promoteId=e}insert(t,e,r,n,i,a){const o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);const s=a?this.grid3D:this.grid;for(let t=0;t<e.length;t++){const r=e[t],n=[1/0,1/0,-1/0,-1/0];for(let t=0;t<r.length;t++){const e=r[t];n[0]=Math.min(n[0],e.x),n[1]=Math.min(n[1],e.y),n[2]=Math.max(n[2],e.x),n[3]=Math.max(n[3],e.y)}n[0]<Uo&&n[1]<Uo&&n[2]>=0&&n[3]>=0&&s.insert(o,n[0],n[1],n[2],n[3])}}loadVTLayers(){return this.vtLayers||(this.vtLayers=new Tl.VectorTile(new Uc(this.rawTileData)).layers,this.sourceLayerCoder=new nh(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers}query(t,e,r,n){this.loadVTLayers();const i=t.params||{},o=Uo/t.tileSize/t.scale,s=zn(i.filter),l=t.queryGeometry,c=t.queryPadding*o,u=sh(l),h=this.grid.query(u.minX-c,u.minY-c,u.maxX+c,u.maxY+c),f=sh(t.cameraQueryGeometry),p=this.grid3D.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c,((e,r,n,i)=>function(t,e,r,n,i){for(const a of t)if(e<=a.x&&r<=a.y&&n>=a.x&&i>=a.y)return!0;const o=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(const e of o)if(ns(t,e))return!0;for(let e=0;e<t.length-1;e++)if(is(t[e],t[e+1],o))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)));for(const t of p)h.push(t);h.sort(lh);const d={};let m;for(let a=0;a<h.length;a++){const c=h[a];if(c===m)continue;m=c;const u=this.featureIndexArray.get(c);let f=null;this.loadMatchingFeature(d,u.bucketIndex,u.sourceLayerIndex,u.featureIndex,s,i.layers,i.availableImages,e,r,n,((e,r,n)=>(f||(f=Ho(e)),r.queryIntersectsFeature(l,e,n,f,this.z,t.transform,o,t.pixelPosMatrix))))}return d}loadMatchingFeature(t,e,r,n,i,a,o,s,l,c,u){const h=this.bucketLayerIDs[e];if(a&&!function(t,e){for(let r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,h))return;const f=this.sourceLayerCoder.decode(r),p=this.vtLayers[f].feature(n);if(i.needGeometry){const t=Go(p,!0);if(!i.filter(new Hi(this.tileID.overscaledZ),t,this.tileID.canonical))return}else if(!i.filter(new Hi(this.tileID.overscaledZ),p))return;const d=this.getId(p,f);for(let e=0;e<h.length;e++){const r=h[e];if(a&&a.indexOf(r)<0)continue;const i=s[r];if(!i)continue;let f={};d&&c&&(f=c.getState(i.sourceLayer||\"_geojsonTileLayer\",d));const m=y({},l[r]);m.paint=oh(m.paint,i.paint,p,f,o),m.layout=oh(m.layout,i.layout,p,f,o);const g=!u||u(p,i,f);if(!g)continue;const v=new ih(p,this.z,this.x,this.y,d);v.layer=m;let x=t[r];void 0===x&&(x=t[r]=[]),x.push({featureIndex:n,feature:v,intersectionZ:g})}}lookupSymbolFeatures(t,e,r,n,i,a,o,s){const l={};this.loadVTLayers();const c=zn(i);for(const i of t)this.loadMatchingFeature(l,r,n,i,c,a,o,s,e);return l}hasLayer(t){for(const e of this.bucketLayerIDs)for(const r of e)if(t===r)return!0;return!1}getId(t,e){let r=t.id;if(this.promoteId){const n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];r=t.properties[n],\"boolean\"==typeof r&&(r=Number(r))}return r}}function oh(t,e,r,n,i){return x(t,((t,a)=>{const o=e instanceof Ki?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function sh(t){let e=1/0,r=1/0,n=-1/0,i=-1/0;for(const a of t)e=Math.min(e,a.x),r=Math.min(r,a.y),n=Math.max(n,a.x),i=Math.max(i,a.y);return{minX:e,minY:r,maxX:n,maxY:i}}function lh(t,e){return e-t}function ch(t,e,r,n,i){const o=[];for(let s=0;s<t.length;s++){const l=t[s];let c;for(let t=0;t<l.length-1;t++){let s=l[t],u=l[t+1];s.x<e&&u.x<e||(s.x<e?s=new a(e,s.y+(u.y-s.y)*((e-s.x)/(u.x-s.x)))._round():u.x<e&&(u=new a(e,s.y+(u.y-s.y)*((e-s.x)/(u.x-s.x)))._round()),s.y<r&&u.y<r||(s.y<r?s=new a(s.x+(u.x-s.x)*((r-s.y)/(u.y-s.y)),r)._round():u.y<r&&(u=new a(s.x+(u.x-s.x)*((r-s.y)/(u.y-s.y)),r)._round()),s.x>=n&&u.x>=n||(s.x>=n?s=new a(n,s.y+(u.y-s.y)*((n-s.x)/(u.x-s.x)))._round():u.x>=n&&(u=new a(n,s.y+(u.y-s.y)*((n-s.x)/(u.x-s.x)))._round()),s.y>=i&&u.y>=i||(s.y>=i?s=new a(s.x+(u.x-s.x)*((i-s.y)/(u.y-s.y)),i)._round():u.y>=i&&(u=new a(s.x+(u.x-s.x)*((i-s.y)/(u.y-s.y)),i)._round()),c&&s.equals(c[c.length-1])||(c=[s],o.push(c)),c.push(u)))))}}return o}Mi(\"FeatureIndex\",ah,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});class uh extends a{constructor(t,e,r,n){super(t,e),this.angle=r,void 0!==n&&(this.segment=n)}clone(){return new uh(this.x,this.y,this.angle,this.segment)}}function hh(t,e,r,n,i){if(void 0===e.segment||0===r)return!0;let a=e,o=e.segment+1,s=0;for(;s>-r/2;){if(o--,o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;const l=[];let c=0;for(;s<r/2;){const e=t[o-1],r=t[o],a=t[o+1];if(!a)return!1;let u=e.angleTo(r)-r.angleTo(a);for(u=Math.abs((u+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:u}),c+=u;s-l[0].distance>n;)c-=l.shift().angleDelta;if(c>i)return!1;o++,s+=r.dist(a)}return!0}function fh(t){let e=0;for(let r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function ph(t,e,r){return t?.6*e*r:0}function dh(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function mh(t,e,r,n,i,a){const o=ph(r,i,a),s=dh(r,n)*a;let l=0;const c=fh(t)/2;for(let r=0;r<t.length-1;r++){const n=t[r],i=t[r+1],a=n.dist(i);if(l+a>c){const u=(c-l)/a,h=Pe.number(n.x,i.x,u),f=Pe.number(n.y,i.y,u),p=new uh(h,f,i.angleTo(n),r);return p._round(),!o||hh(t,p,s,o,e)?p:void 0}l+=a}}function gh(t,e,r,n,i,a,o,s,l){const c=ph(n,a,o),u=dh(n,i),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),yh(t,f?e/2*s%e:(u/2+2*a)*o*s%e,e,c,r,h,f,!1,l)}function yh(t,e,r,n,i,a,o,s,l){const c=a/2,u=fh(t);let h=0,f=e-r,p=[];for(let e=0;e<t.length-1;e++){const o=t[e],s=t[e+1],d=o.dist(s),m=s.angleTo(o);for(;f+r<h+d;){f+=r;const g=(f-h)/d,y=Pe.number(o.x,s.x,g),v=Pe.number(o.y,s.y,g);if(y>=0&&y<l&&v>=0&&v<l&&f-c>=0&&f+c<=u){const r=new uh(y,v,m,e);r._round(),n&&!hh(t,r,a,n,i)||p.push(r)}}h+=d}return s||p.length||o||(p=yh(t,h/2,r,n,i,a,o,!0,l)),p}Mi(\"Anchor\",uh);const vh=Yc;function xh(t,e,r,n){const i=[],o=t.image,s=o.pixelRatio,l=o.paddedRect.w-2*vh,c=o.paddedRect.h-2*vh;let u={x1:t.left,y1:t.top,x2:t.right,y2:t.bottom};const h=o.stretchX||[[0,l]],f=o.stretchY||[[0,c]],p=(t,e)=>t+e[1]-e[0],d=h.reduce(p,0),m=f.reduce(p,0),g=l-d,y=c-m;let v=0,x=d,_=0,b=m,w=0,T=g,k=0,A=y;if(o.content&&n){const e=o.content,r=e[2]-e[0],n=e[3]-e[1];(o.textFitWidth||o.textFitHeight)&&(u=du(t)),v=_h(h,0,e[0]),_=_h(f,0,e[1]),x=_h(h,e[0],e[2]),b=_h(f,e[1],e[3]),w=e[0]-v,k=e[1]-_,T=r-x,A=n-b}const M=u.x1,S=u.y1,E=u.x2-M,C=u.y2-S,L=(t,n,i,l)=>{const c=wh(t.stretch-v,x,E,M),u=Th(t.fixed-w,T,t.stretch,d),h=wh(n.stretch-_,b,C,S),f=Th(n.fixed-k,A,n.stretch,m),p=wh(i.stretch-v,x,E,M),g=Th(i.fixed-w,T,i.stretch,d),y=wh(l.stretch-_,b,C,S),L=Th(l.fixed-k,A,l.stretch,m),I=new a(c,h),P=new a(p,h),z=new a(p,y),O=new a(c,y),D=new a(u/s,f/s),R=new a(g/s,L/s),F=e*Math.PI/180;if(F){const t=Math.sin(F),e=Math.cos(F),r=[e,-t,t,e];I._matMult(r),P._matMult(r),O._matMult(r),z._matMult(r)}const B=t.stretch+t.fixed,N=i.stretch+i.fixed,j=n.stretch+n.fixed,U=l.stretch+l.fixed;return{tl:I,tr:P,bl:O,br:z,tex:{x:o.paddedRect.x+vh+B,y:o.paddedRect.y+vh+j,w:N-B,h:U-j},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:D,pixelOffsetBR:R,minFontScaleX:T/s/E,minFontScaleY:A/s/C,isSDF:r}};if(n&&(o.stretchX||o.stretchY)){const t=bh(h,g,d),e=bh(f,y,m);for(let r=0;r<t.length-1;r++){const n=t[r],a=t[r+1];for(let t=0;t<e.length-1;t++){const r=e[t],o=e[t+1];i.push(L(n,r,a,o))}}}else i.push(L({fixed:0,stretch:-1},{fixed:0,stretch:-1},{fixed:0,stretch:l+1},{fixed:0,stretch:c+1}));return i}function _h(t,e,r){let n=0;for(const i of t)n+=Math.max(e,Math.min(r,i[1]))-Math.max(e,Math.min(r,i[0]));return n}function bh(t,e,r){const n=[{fixed:-vh,stretch:0}];for(const[e,r]of t){const t=n[n.length-1];n.push({fixed:e-t.stretch,stretch:t.stretch}),n.push({fixed:e-t.stretch,stretch:t.stretch+(r-e)})}return n.push({fixed:e+vh,stretch:r}),n}function wh(t,e,r,n){return t/e*r+n}function Th(t,e,r,n){return t-e*r/n}class kh{constructor(t,e,r,n,i,o,s,l,c,u){var h;if(this.boxStartIndex=t.length,c){let t=o.top,e=o.bottom;const r=o.collisionPadding;r&&(t-=r[1],e+=r[3]);let n=e-t;n>0&&(n=Math.max(10,n),this.circleDiameter=n)}else{const c=(null===(h=o.image)||void 0===h?void 0:h.content)&&(o.image.textFitWidth||o.image.textFitHeight)?du(o):{x1:o.left,y1:o.top,x2:o.right,y2:o.bottom};c.y1=c.y1*s-l[0],c.y2=c.y2*s+l[2],c.x1=c.x1*s-l[3],c.x2=c.x2*s+l[1];const f=o.collisionPadding;if(f&&(c.x1-=f[0]*s,c.y1-=f[1]*s,c.x2+=f[2]*s,c.y2+=f[3]*s),u){const t=new a(c.x1,c.y1),e=new a(c.x2,c.y1),r=new a(c.x1,c.y2),n=new a(c.x2,c.y2),i=u*Math.PI/180;t._rotate(i),e._rotate(i),r._rotate(i),n._rotate(i),c.x1=Math.min(t.x,e.x,r.x,n.x),c.x2=Math.max(t.x,e.x,r.x,n.x),c.y1=Math.min(t.y,e.y,r.y,n.y),c.y2=Math.max(t.y,e.y,r.y,n.y)}t.emplaceBack(e.x,e.y,c.x1,c.y1,c.x2,c.y2,r,n,i)}this.boxEndIndex=t.length}}class Ah{constructor(t=[],e=((t,e)=>t<e?-1:t>e?1:0)){if(this.data=t,this.length=this.data.length,this.compare=e,this.length>0)for(let t=(this.length>>1)-1;t>=0;t--)this._down(t)}push(t){this.data.push(t),this._up(this.length++)}pop(){if(0===this.length)return;const t=this.data[0],e=this.data.pop();return--this.length>0&&(this.data[0]=e,this._down(0)),t}peek(){return this.data[0]}_up(t){const{data:e,compare:r}=this,n=e[t];for(;t>0;){const i=t-1>>1,a=e[i];if(r(n,a)>=0)break;e[t]=a,t=i}e[t]=n}_down(t){const{data:e,compare:r}=this,n=this.length>>1,i=e[t];for(;t<n;){let n=1+(t<<1);const a=n+1;if(a<this.length&&r(e[a],e[n])<0&&(n=a),r(e[n],i)>=0)break;e[t]=e[n],t=n}e[t]=i}}function Mh(t,e=1,r=!1){let n=1/0,i=1/0,o=-1/0,s=-1/0;const l=t[0];for(let t=0;t<l.length;t++){const e=l[t];(!t||e.x<n)&&(n=e.x),(!t||e.y<i)&&(i=e.y),(!t||e.x>o)&&(o=e.x),(!t||e.y>s)&&(s=e.y)}const c=o-n,u=s-i,h=Math.min(c,u);let f=h/2;const p=new Ah([],Sh);if(0===h)return new a(n,i);for(let e=n;e<o;e+=h)for(let 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u=3===n?l.length-1:l.length,h=0;h<u;h++){1===h&&1!==n&&e.writeVarint(M(2,u-1));var f=l[h].x-i,p=l[h].y-a;e.writeVarint(S(f)),e.writeVarint(S(p)),i+=f,a+=p}3===n&&e.writeVarint(M(7,1))}}function C(t,e){var r=typeof t;\"string\"===r?e.writeStringField(1,t):\"boolean\"===r?e.writeBooleanField(7,t):\"number\"===r&&(t%1!=0?e.writeDoubleField(3,t):t<0?e.writeSVarintField(6,t):e.writeVarintField(5,t))}d.exports=w,d.exports.fromVectorTileJs=w,d.exports.fromGeojsonVt=function(t,e){e=e||{};var r={};for(var n in t)r[n]=new b(t[n].features,e),r[n].name=n,r[n].version=e.version,r[n].extent=e.extent;return w({layers:r})},d.exports.GeoJSONWrapper=b;var L=d.exports,I=t.bx(L);const P={minZoom:0,maxZoom:16,minPoints:2,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:t=>t},z=Math.fround||(O=new Float32Array(1),t=>(O[0]=+t,O[0]));var O;const D=3,R=5,F=6;class B{constructor(t){this.options=Object.assign(Object.create(P),t),this.trees=new Array(this.options.maxZoom+1),this.stride=this.options.reduce?7:6,this.clusterProps=[]}load(t){const{log:e,minZoom:r,maxZoom:n}=this.options;e&&console.time(\"total time\");const i=`prepare ${t.length} points`;e&&console.time(i),this.points=t;const a=[];for(let e=0;e<t.length;e++){const r=t[e];if(!r.geometry)continue;const[n,i]=r.geometry.coordinates,o=z(U(n)),s=z(V(i));a.push(o,s,1/0,e,-1,1),this.options.reduce&&a.push(0)}let o=this.trees[n+1]=this._createTree(a);e&&console.timeEnd(i);for(let t=n;t>=r;t--){const r=+Date.now();o=this.trees[t]=this._createTree(this._cluster(o,t)),e&&console.log(\"z%d: %d clusters in %dms\",t,o.numItems,+Date.now()-r)}return e&&console.timeEnd(\"total time\"),this}getClusters(t,e){let r=((t[0]+180)%360+360)%360-180;const n=Math.max(-90,Math.min(90,t[1]));let i=180===t[2]?180:((t[2]+180)%360+360)%360-180;const a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){const t=this.getClusters([r,n,180,a],e),o=this.getClusters([-180,n,i,a],e);return t.concat(o)}const o=this.trees[this._limitZoom(e)],s=o.range(U(r),V(a),U(i),V(n)),l=o.data,c=[];for(const t of s){const e=this.stride*t;c.push(l[e+R]>1?N(l,e,this.clusterProps):this.points[l[e+D]])}return c}getChildren(t){const e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);const a=i.data;if(e*this.stride>=a.length)throw new Error(n);const o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=a[e*this.stride],l=a[e*this.stride+1],c=i.within(s,l,o),u=[];for(const e of c){const r=e*this.stride;a[r+4]===t&&u.push(a[r+R]>1?N(a,r,this.clusterProps):this.points[a[r+D]])}if(0===u.length)throw new Error(n);return u}getLeaves(t,e,r){e=e||10,r=r||0;const n=[];return this._appendLeaves(n,t,e,r,0),n}getTile(t,e,r){const n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),{extent:a,radius:o}=this.options,s=o/a,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.data,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.data,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.data,-1,r,i,u),u.features.length?u:null}getClusterExpansionZoom(t){let e=this._getOriginZoom(t)-1;for(;e<=this.options.maxZoom;){const r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e}_appendLeaves(t,e,r,n,i){const a=this.getChildren(e);for(const e of a){const a=e.properties;if(a&&a.cluster?i+a.point_count<=n?i+=a.point_count:i=this._appendLeaves(t,a.cluster_id,r,n,i):i<n?i++:t.push(e),t.length===r)break}return i}_createTree(e){const r=new t.aw(e.length/this.stride|0,this.options.nodeSize,Float32Array);for(let t=0;t<e.length;t+=this.stride)r.add(e[t],e[t+1]);return r.finish(),r.data=e,r}_addTileFeatures(t,e,r,n,i,a){for(const o of 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a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:t.length,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0};for(const e of t)pt(o,e,a,i);return o}function pt(t,e,r,n){const i=e.geometry,a=e.type,o=[];if(t.minX=Math.min(t.minX,e.minX),t.minY=Math.min(t.minY,e.minY),t.maxX=Math.max(t.maxX,e.maxX),t.maxY=Math.max(t.maxY,e.maxY),\"Point\"===a||\"MultiPoint\"===a)for(let e=0;e<i.length;e+=3)o.push(i[e],i[e+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===a)dt(o,i,t,r,!1,!1);else if(\"MultiLineString\"===a||\"Polygon\"===a)for(let e=0;e<i.length;e++)dt(o,i[e],t,r,\"Polygon\"===a,0===e);else if(\"MultiPolygon\"===a)for(let e=0;e<i.length;e++){const n=i[e];for(let e=0;e<n.length;e++)dt(o,n[e],t,r,!0,0===e)}if(o.length){let r=e.tags||null;if(\"LineString\"===a&&n.lineMetrics){r={};for(const t in e.tags)r[t]=e.tags[t];r.mapbox_clip_start=i.start/i.size,r.mapbox_clip_end=i.end/i.size}const s={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:r};null!==e.id&&(s.id=e.id),t.features.push(s)}}function dt(t,e,r,n,i,a){const o=n*n;if(n>0&&e.size<(i?o:n))return void(r.numPoints+=e.length/3);const s=[];for(let t=0;t<e.length;t+=3)(0===n||e[t+2]>o)&&(r.numSimplified++,s.push(e[t],e[t+1])),r.numPoints++;i&&function(t,e){let r=0;for(let e=0,n=t.length,i=n-2;e<n;i=e,e+=2)r+=(t[e]-t[i])*(t[e+1]+t[i+1]);if(r>0===e)for(let e=0,r=t.length;e<r/2;e+=2){const n=t[e],i=t[e+1];t[e]=t[r-2-e],t[e+1]=t[r-1-e],t[r-2-e]=n,t[r-1-e]=i}}(s,a),t.push(s)}const mt={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0};class gt{constructor(t,e){const r=(e=this.options=function(t,e){for(const r in e)t[r]=e[r];return t}(Object.create(mt),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.\");let n=function(t,e){const r=[];if(\"FeatureCollection\"===t.type)for(let n=0;n<t.features.length;n++)Y(r,t.features[n],e,n);else\"Feature\"===t.type?Y(r,t,e):Y(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){const r=e.buffer/e.extent;let n=t;const i=tt(t,1,-1-r,r,0,-1,2,e),a=tt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=tt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=lt(i,1).concat(n)),a&&(n=n.concat(lt(a,-1)))),n}(n,e),n.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)))}splitTile(t,e,r,n,i,a,o){const s=[t,e,r,n],l=this.options,c=l.debug;for(;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();const u=1<<e,h=yt(e,r,n);let f=this.tiles[h];if(!f&&(c>1&&console.time(\"creation\"),f=this.tiles[h]=ft(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\"));const t=`z${e}`;this.stats[t]=(this.stats[t]||0)+1,this.total++}if(f.source=t,null==i){if(e===l.indexMaxZoom||f.numPoints<=l.indexMaxPoints)continue}else{if(e===l.maxZoom||e===i)continue;if(null!=i){const t=i-e;if(r!==a>>t||n!==o>>t)continue}}if(f.source=null,0===t.length)continue;c>1&&console.time(\"clipping\");const p=.5*l.buffer/l.extent,d=.5-p,m=.5+p,g=1+p;let y=null,v=null,x=null,_=null,b=tt(t,u,r-p,r+m,0,f.minX,f.maxX,l),w=tt(t,u,r+d,r+g,0,f.minX,f.maxX,l);t=null,b&&(y=tt(b,u,n-p,n+m,1,f.minY,f.maxY,l),v=tt(b,u,n+d,n+g,1,f.minY,f.maxY,l),b=null),w&&(x=tt(w,u,n-p,n+m,1,f.minY,f.maxY,l),_=tt(w,u,n+d,n+g,1,f.minY,f.maxY,l),w=null),c>1&&console.timeEnd(\"clipping\"),s.push(y||[],e+1,2*r,2*n),s.push(v||[],e+1,2*r,2*n+1),s.push(x||[],e+1,2*r+1,2*n),s.push(_||[],e+1,2*r+1,2*n+1)}}getTile(t,e,r){t=+t,e=+e,r=+r;const n=this.options,{extent:i,debug:a}=n;if(t<0||t>24)return null;const o=1<<t,s=yt(t,e=e+o&o-1,r);if(this.tiles[s])return ut(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);let l,c=t,u=e,h=r;for(;!l&&c>0;)c--,u>>=1,h>>=1,l=this.tiles[yt(c,u,h)];return l&&l.source?(a>1&&(console.log(\"found parent tile z%d-%d-%d\",c,u,h),console.time(\"drilling down\")),this.splitTile(l.source,c,u,h,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?ut(this.tiles[s],i):null):null}}function yt(t,e,r){return 32*((1<<t)*r+e)+t}function vt(t,e){return e?t.properties[e]:t.id}function xt(t,e){if(null==t)return!0;if(\"Feature\"===t.type)return null!=vt(t,e);if(\"FeatureCollection\"===t.type){const r=new Set;for(const n of t.features){const t=vt(n,e);if(null==t)return!1;if(r.has(t))return!1;r.add(t)}return!0}return!1}function _t(t,e){const r=new Map;if(null==t);else if(\"Feature\"===t.type)r.set(vt(t,e),t);else for(const n of t.features)r.set(vt(n,e),n);return r}class bt extends a{constructor(){super(...arguments),this._dataUpdateable=new Map}loadVectorTile(e,r){return t._(this,void 0,void 0,(function*(){const t=e.tileID.canonical;if(!this._geoJSONIndex)throw new Error(\"Unable to parse the data into a cluster or geojson\");const r=this._geoJSONIndex.getTile(t.z,t.x,t.y);if(!r)return null;const n=new p(r.features);let i=I(n);return 0===i.byteOffset&&i.byteLength===i.buffer.byteLength||(i=new Uint8Array(i)),{vectorTile:n,rawData:i.buffer}}))}loadData(e){return t._(this,void 0,void 0,(function*(){var r;null===(r=this._pendingRequest)||void 0===r||r.abort();const n=!!(e&&e.request&&e.request.collectResourceTiming)&&new t.bu(e.request);this._pendingRequest=new AbortController;try{this._pendingData=this.loadAndProcessGeoJSON(e,this._pendingRequest),this._geoJSONIndex=e.cluster?new B(function({superclusterOptions:e,clusterProperties:r}){if(!r||!e)return e;const n={},i={},a={accumulated:null,zoom:0},o={properties:null},s=Object.keys(r);for(const e of s){const[a,o]=r[e],s=t.bB(o),l=t.bB(\"string\"==typeof a?[a,[\"accumulated\"],[\"get\",e]]:a);n[e]=s.value,i[e]=l.value}return e.map=t=>{o.properties=t;const e={};for(const t of s)e[t]=n[t].evaluate(a,o);return e},e.reduce=(t,e)=>{o.properties=e;for(const e of s)a.accumulated=t[e],t[e]=i[e].evaluate(a,o)},e}(e)).load((yield this._pendingData).features):(i=yield this._pendingData,a=e.geojsonVtOptions,new gt(i,a)),this.loaded={};const r={};if(n){const t=n.finish();t&&(r.resourceTiming={},r.resourceTiming[e.source]=JSON.parse(JSON.stringify(t)))}return r}catch(e){if(delete this._pendingRequest,t.bA(e))return{abandoned:!0};throw e}var i,a}))}getData(){return t._(this,void 0,void 0,(function*(){return this._pendingData}))}reloadTile(t){const e=this.loaded,r=t.uid;return e&&e[r]?super.reloadTile(t):this.loadTile(t)}loadAndProcessGeoJSON(e,r){return t._(this,void 0,void 0,(function*(){let n=yield this.loadGeoJSON(e,r);if(delete this._pendingRequest,\"object\"!=typeof n)throw new Error(`Input data given to '${e.source}' is not a valid GeoJSON object.`);if(u(n,!0),e.filter){const r=t.bB(e.filter,{type:\"boolean\",\"property-type\":\"data-driven\",overridable:!1,transition:!1});if(\"error\"===r.result)throw new Error(r.value.map((t=>`${t.key}: ${t.message}`)).join(\", \"));const i=n.features.filter((t=>r.value.evaluate({zoom:0},t)));n={type:\"FeatureCollection\",features:i}}return n}))}loadGeoJSON(e,r){return t._(this,void 0,void 0,(function*(){const{promoteId:n}=e;if(e.request){const i=yield t.h(e.request,r);return this._dataUpdateable=xt(i.data,n)?_t(i.data,n):void 0,i.data}if(\"string\"==typeof e.data)try{const t=JSON.parse(e.data);return this._dataUpdateable=xt(t,n)?_t(t,n):void 0,t}catch(t){throw new Error(`Input data given to '${e.source}' is not a valid GeoJSON object.`)}if(!e.dataDiff)throw new Error(`Input data given to '${e.source}' is not a valid GeoJSON object.`);if(!this._dataUpdateable)throw new Error(`Cannot update existing geojson data in ${e.source}`);return function(t,e,r){var n,i,a,o;if(e.removeAll&&t.clear(),e.remove)for(const r of e.remove)t.delete(r);if(e.add)for(const n of e.add){const e=vt(n,r);null!=e&&t.set(e,n)}if(e.update)for(const r of e.update){let e=t.get(r.id);if(null==e)continue;const s=r.newGeometry||r.removeAllProperties,l=!r.removeAllProperties&&((null===(n=r.removeProperties)||void 0===n?void 0:n.length)>0||(null===(i=r.addOrUpdateProperties)||void 0===i?void 0:i.length)>0);if((s||l)&&(e=Object.assign({},e),t.set(r.id,e),l&&(e.properties=Object.assign({},e.properties))),r.newGeometry&&(e.geometry=r.newGeometry),r.removeAllProperties)e.properties={};else if((null===(a=r.removeProperties)||void 0===a?void 0:a.length)>0)for(const t of r.removeProperties)Object.prototype.hasOwnProperty.call(e.properties,t)&&delete e.properties[t];if((null===(o=r.addOrUpdateProperties)||void 0===o?void 0:o.length)>0)for(const{key:t,value:n}of r.addOrUpdateProperties)e.properties[t]=n}}(this._dataUpdateable,e.dataDiff,n),{type:\"FeatureCollection\",features:Array.from(this._dataUpdateable.values())}}))}removeSource(e){return t._(this,void 0,void 0,(function*(){this._pendingRequest&&this._pendingRequest.abort()}))}getClusterExpansionZoom(t){return this._geoJSONIndex.getClusterExpansionZoom(t.clusterId)}getClusterChildren(t){return this._geoJSONIndex.getChildren(t.clusterId)}getClusterLeaves(t){return this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset)}}class wt{constructor(e){this.self=e,this.actor=new t.F(e),this.layerIndexes={},this.availableImages={},this.workerSources={},this.demWorkerSources={},this.externalWorkerSourceTypes={},this.self.registerWorkerSource=(t,e)=>{if(this.externalWorkerSourceTypes[t])throw new Error(`Worker source with name \"${t}\" already registered.`);this.externalWorkerSourceTypes[t]=e},this.self.addProtocol=t.bh,this.self.removeProtocol=t.bi,this.self.registerRTLTextPlugin=e=>{if(t.bC.isParsed())throw new Error(\"RTL text plugin already registered.\");t.bC.setMethods(e)},this.actor.registerMessageHandler(\"LDT\",((t,e)=>this._getDEMWorkerSource(t,e.source).loadTile(e))),this.actor.registerMessageHandler(\"RDT\",((e,r)=>t._(this,void 0,void 0,(function*(){this._getDEMWorkerSource(e,r.source).removeTile(r)})))),this.actor.registerMessageHandler(\"GCEZ\",((e,r)=>t._(this,void 0,void 0,(function*(){return this._getWorkerSource(e,r.type,r.source).getClusterExpansionZoom(r)})))),this.actor.registerMessageHandler(\"GCC\",((e,r)=>t._(this,void 0,void 0,(function*(){return this._getWorkerSource(e,r.type,r.source).getClusterChildren(r)})))),this.actor.registerMessageHandler(\"GCL\",((e,r)=>t._(this,void 0,void 0,(function*(){return this._getWorkerSource(e,r.type,r.source).getClusterLeaves(r)})))),this.actor.registerMessageHandler(\"LD\",((t,e)=>this._getWorkerSource(t,e.type,e.source).loadData(e))),this.actor.registerMessageHandler(\"GD\",((t,e)=>this._getWorkerSource(t,e.type,e.source).getData())),this.actor.registerMessageHandler(\"LT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).loadTile(e))),this.actor.registerMessageHandler(\"RT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).reloadTile(e))),this.actor.registerMessageHandler(\"AT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).abortTile(e))),this.actor.registerMessageHandler(\"RMT\",((t,e)=>this._getWorkerSource(t,e.type,e.source).removeTile(e))),this.actor.registerMessageHandler(\"RS\",((e,r)=>t._(this,void 0,void 0,(function*(){if(!this.workerSources[e]||!this.workerSources[e][r.type]||!this.workerSources[e][r.type][r.source])return;const t=this.workerSources[e][r.type][r.source];delete this.workerSources[e][r.type][r.source],void 0!==t.removeSource&&t.removeSource(r)})))),this.actor.registerMessageHandler(\"RM\",(e=>t._(this,void 0,void 0,(function*(){delete this.layerIndexes[e],delete this.availableImages[e],delete this.workerSources[e],delete this.demWorkerSources[e]})))),this.actor.registerMessageHandler(\"SR\",((e,r)=>t._(this,void 0,void 0,(function*(){this.referrer=r})))),this.actor.registerMessageHandler(\"SRPS\",((t,e)=>this._syncRTLPluginState(t,e))),this.actor.registerMessageHandler(\"IS\",((e,r)=>t._(this,void 0,void 0,(function*(){this.self.importScripts(r)})))),this.actor.registerMessageHandler(\"SI\",((t,e)=>this._setImages(t,e))),this.actor.registerMessageHandler(\"UL\",((e,r)=>t._(this,void 0,void 0,(function*(){this._getLayerIndex(e).update(r.layers,r.removedIds)})))),this.actor.registerMessageHandler(\"SL\",((e,r)=>t._(this,void 0,void 0,(function*(){this._getLayerIndex(e).replace(r)}))))}_setImages(e,r){return t._(this,void 0,void 0,(function*(){this.availableImages[e]=r;for(const t in this.workerSources[e]){const n=this.workerSources[e][t];for(const t in n)n[t].availableImages=r}}))}_syncRTLPluginState(e,r){return t._(this,void 0,void 0,(function*(){if(t.bC.isParsed())return t.bC.getState();if(\"loading\"!==r.pluginStatus)return t.bC.setState(r),r;const e=r.pluginURL;if(this.self.importScripts(e),t.bC.isParsed()){const r={pluginStatus:\"loaded\",pluginURL:e};return t.bC.setState(r),r}throw t.bC.setState({pluginStatus:\"error\",pluginURL:\"\"}),new Error(`RTL Text Plugin failed to import scripts from ${e}`)}))}_getAvailableImages(t){let e=this.availableImages[t];return e||(e=[]),e}_getLayerIndex(t){let r=this.layerIndexes[t];return r||(r=this.layerIndexes[t]=new e),r}_getWorkerSource(t,e,r){if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){const n={sendAsync:(e,r)=>(e.targetMapId=t,this.actor.sendAsync(e,r))};switch(e){case\"vector\":this.workerSources[t][e][r]=new a(n,this._getLayerIndex(t),this._getAvailableImages(t));break;case\"geojson\":this.workerSources[t][e][r]=new bt(n,this._getLayerIndex(t),this._getAvailableImages(t));break;default:this.workerSources[t][e][r]=new this.externalWorkerSourceTypes[e](n,this._getLayerIndex(t),this._getAvailableImages(t))}}return this.workerSources[t][e][r]}_getDEMWorkerSource(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new o),this.demWorkerSources[t][e]}}return t.i(self)&&(self.worker=new wt(self)),wt})),r(\"index\",0,(function(t,e){var r=\"4.5.2\";let n,i;const a={now:\"undefined\"!=typeof performance&&performance&&performance.now?performance.now.bind(performance):Date.now.bind(Date),frameAsync(t){return new Promise(((r,n)=>{const i=requestAnimationFrame(r);t.signal.addEventListener(\"abort\",(()=>{cancelAnimationFrame(i),n(e.c())}))}))},getImageData(t,e=0){return this.getImageCanvasContext(t).getImageData(-e,-e,t.width+2*e,t.height+2*e)},getImageCanvasContext(t){const e=window.document.createElement(\"canvas\"),r=e.getContext(\"2d\",{willReadFrequently:!0});if(!r)throw new Error(\"failed to create canvas 2d context\");return e.width=t.width,e.height=t.height,r.drawImage(t,0,0,t.width,t.height),r},resolveURL(t){return n||(n=document.createElement(\"a\")),n.href=t,n.href},hardwareConcurrency:\"undefined\"!=typeof navigator&&navigator.hardwareConcurrency||4,get prefersReducedMotion(){return!!matchMedia&&(null==i&&(i=matchMedia(\"(prefers-reduced-motion: reduce)\")),i.matches)}};class o{static testProp(t){if(!o.docStyle)return t[0];for(let e=0;e<t.length;e++)if(t[e]in o.docStyle)return t[e];return t[0]}static create(t,e,r){const n=window.document.createElement(t);return void 0!==e&&(n.className=e),r&&r.appendChild(n),n}static createNS(t,e){return window.document.createElementNS(t,e)}static disableDrag(){o.docStyle&&o.selectProp&&(o.userSelect=o.docStyle[o.selectProp],o.docStyle[o.selectProp]=\"none\")}static enableDrag(){o.docStyle&&o.selectProp&&(o.docStyle[o.selectProp]=o.userSelect)}static setTransform(t,e){t.style[o.transformProp]=e}static addEventListener(t,e,r,n={}){\"passive\"in n?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)}static removeEventListener(t,e,r,n={}){\"passive\"in n?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)}static suppressClickInternal(t){t.preventDefault(),t.stopPropagation(),window.removeEventListener(\"click\",o.suppressClickInternal,!0)}static suppressClick(){window.addEventListener(\"click\",o.suppressClickInternal,!0),window.setTimeout((()=>{window.removeEventListener(\"click\",o.suppressClickInternal,!0)}),0)}static getScale(t){const e=t.getBoundingClientRect();return{x:e.width/t.offsetWidth||1,y:e.height/t.offsetHeight||1,boundingClientRect:e}}static getPoint(t,r,n){const i=r.boundingClientRect;return new e.P((n.clientX-i.left)/r.x-t.clientLeft,(n.clientY-i.top)/r.y-t.clientTop)}static mousePos(t,e){const r=o.getScale(t);return o.getPoint(t,r,e)}static touchPos(t,e){const r=[],n=o.getScale(t);for(let i=0;i<e.length;i++)r.push(o.getPoint(t,n,e[i]));return r}static mouseButton(t){return t.button}static remove(t){t.parentNode&&t.parentNode.removeChild(t)}}o.docStyle=\"undefined\"!=typeof window&&window.document&&window.document.documentElement.style,o.selectProp=o.testProp([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]),o.transformProp=o.testProp([\"transform\",\"WebkitTransform\"]);const s={supported:!1,testSupport:function(t){!u&&c&&(h?f(t):l=t)}};let l,c,u=!1,h=!1;function f(t){const e=t.createTexture();t.bindTexture(t.TEXTURE_2D,e);try{if(t.texImage2D(t.TEXTURE_2D,0,t.RGBA,t.RGBA,t.UNSIGNED_BYTE,c),t.isContextLost())return;s.supported=!0}catch(t){}t.deleteTexture(e),u=!0}var p;\"undefined\"!=typeof document&&(c=document.createElement(\"img\"),c.onload=()=>{l&&f(l),l=null,h=!0},c.onerror=()=>{u=!0,l=null},c.src=\"data:image/webp;base64,UklGRh4AAABXRUJQVlA4TBEAAAAvAQAAAAfQ//73v/+BiOh/AAA=\"),function(t){let r,n,i,a;t.resetRequestQueue=()=>{r=[],n=0,i=0,a={}},t.addThrottleControl=t=>{const e=i++;return a[e]=t,e},t.removeThrottleControl=t=>{delete a[t],l()};t.getImage=(t,n,i=!0)=>new Promise(((a,o)=>{s.supported&&(t.headers||(t.headers={}),t.headers.accept=\"image/webp,*/*\"),e.e(t,{type:\"image\"});const c={abortController:n,requestParameters:t,supportImageRefresh:i,state:\"queued\",onError:t=>{o(t)},onSuccess:t=>{a(t)}};r.push(c),l()}));const o=t=>e._(this,void 0,void 0,(function*(){t.state=\"running\";const{requestParameters:r,supportImageRefresh:i,onError:a,onSuccess:o,abortController:s}=t,u=!1===i&&!e.i(self)&&!e.g(r.url)&&(!r.headers||Object.keys(r.headers).reduce(((t,e)=>t&&\"accept\"===e),!0));n++;const h=u?c(r,s):e.m(r,s);try{const r=yield h;delete t.abortController,t.state=\"completed\",r.data instanceof HTMLImageElement||e.b(r.data)?o(r):r.data&&o({data:yield(f=r.data,\"function\"==typeof createImageBitmap?e.d(f):e.f(f)),cacheControl:r.cacheControl,expires:r.expires})}catch(e){delete t.abortController,a(e)}finally{n--,l()}var f})),l=()=>{const t=(()=>{for(const t of Object.keys(a))if(a[t]())return!0;return!1})()?e.a.MAX_PARALLEL_IMAGE_REQUESTS_PER_FRAME:e.a.MAX_PARALLEL_IMAGE_REQUESTS;for(let e=n;e<t&&r.length>0;e++){const t=r.shift();t.abortController.signal.aborted?e--:o(t)}},c=(t,r)=>new Promise(((n,i)=>{const a=new Image,o=t.url,s=t.credentials;s&&\"include\"===s?a.crossOrigin=\"use-credentials\":(s&&\"same-origin\"===s||!e.s(o))&&(a.crossOrigin=\"anonymous\"),r.signal.addEventListener(\"abort\",(()=>{a.src=\"\",i(e.c())})),a.fetchPriority=\"high\",a.onload=()=>{a.onerror=a.onload=null,n({data:a})},a.onerror=()=>{a.onerror=a.onload=null,r.signal.aborted||i(new Error(\"Could not load image. Please make sure to use a supported image type such as PNG or JPEG. Note that SVGs are not supported.\"))},a.src=o}))}(p||(p={})),p.resetRequestQueue();class d{constructor(t){this._transformRequestFn=t}transformRequest(t,e){return this._transformRequestFn&&this._transformRequestFn(t,e)||{url:t}}setTransformRequest(t){this._transformRequestFn=t}}function m(t){var r=new e.A(3);return r[0]=t[0],r[1]=t[1],r[2]=t[2],r}var g,y=function(t,e,r){return t[0]=e[0]-r[0],t[1]=e[1]-r[1],t[2]=e[2]-r[2],t};g=new e.A(3),e.A!=Float32Array&&(g[0]=0,g[1]=0,g[2]=0);var v=function(t){var e=t[0],r=t[1];return e*e+r*r};function x(t){const e=[];if(\"string\"==typeof t)e.push({id:\"default\",url:t});else if(t&&t.length>0){const r=[];for(const{id:n,url:i}of t){const t=`${n}${i}`;-1===r.indexOf(t)&&(r.push(t),e.push({id:n,url:i}))}}return e}function _(t,e,r){const n=t.split(\"?\");return n[0]+=`${e}${r}`,n.join(\"?\")}function b(t,r,n,i){return e._(this,void 0,void 0,(function*(){const o=x(t),s=n>1?\"@2x\":\"\",l={},c={};for(const{id:t,url:n}of o){const a=r.transformRequest(_(n,s,\".json\"),\"SpriteJSON\");l[t]=e.h(a,i);const o=r.transformRequest(_(n,s,\".png\"),\"SpriteImage\");c[t]=p.getImage(o,i)}return yield Promise.all([...Object.values(l),...Object.values(c)]),function(t,r){return e._(this,void 0,void 0,(function*(){const e={};for(const n in t){e[n]={};const i=a.getImageCanvasContext((yield r[n]).data),o=(yield t[n]).data;for(const t in o){const{width:r,height:a,x:s,y:l,sdf:c,pixelRatio:u,stretchX:h,stretchY:f,content:p,textFitWidth:d,textFitHeight:m}=o[t],g={width:r,height:a,x:s,y:l,context:i};e[n][t]={data:null,pixelRatio:u,sdf:c,stretchX:h,stretchY:f,content:p,textFitWidth:d,textFitHeight:m,spriteData:g}}}return e}))}(l,c)}))}!function(){var t=new e.A(2);e.A!=Float32Array&&(t[0]=0,t[1]=0)}();class w{constructor(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)}update(t,r,n){const{width:i,height:a}=t,o=!(this.size&&this.size[0]===i&&this.size[1]===a||n),{context:s}=this,{gl:l}=s;if(this.useMipmap=Boolean(r&&r.useMipmap),l.bindTexture(l.TEXTURE_2D,this.texture),s.pixelStoreUnpackFlipY.set(!1),s.pixelStoreUnpack.set(1),s.pixelStoreUnpackPremultiplyAlpha.set(this.format===l.RGBA&&(!r||!1!==r.premultiply)),o)this.size=[i,a],t instanceof HTMLImageElement||t instanceof HTMLCanvasElement||t instanceof HTMLVideoElement||t instanceof ImageData||e.b(t)?l.texImage2D(l.TEXTURE_2D,0,this.format,this.format,l.UNSIGNED_BYTE,t):l.texImage2D(l.TEXTURE_2D,0,this.format,i,a,0,this.format,l.UNSIGNED_BYTE,t.data);else{const{x:r,y:o}=n||{x:0,y:0};t instanceof HTMLImageElement||t instanceof HTMLCanvasElement||t instanceof HTMLVideoElement||t instanceof ImageData||e.b(t)?l.texSubImage2D(l.TEXTURE_2D,0,r,o,l.RGBA,l.UNSIGNED_BYTE,t):l.texSubImage2D(l.TEXTURE_2D,0,r,o,i,a,l.RGBA,l.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&l.generateMipmap(l.TEXTURE_2D)}bind(t,e,r){const{context:n}=this,{gl:i}=n;i.bindTexture(i.TEXTURE_2D,this.texture),r!==i.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=i.LINEAR),t!==this.filter&&(i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MAG_FILTER,t),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_S,e),i.texParameteri(i.TEXTURE_2D,i.TEXTURE_WRAP_T,e),this.wrap=e)}isSizePowerOfTwo(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0}destroy(){const{gl:t}=this.context;t.deleteTexture(this.texture),this.texture=null}}function T(t){const{userImage:e}=t;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}class k extends e.E{constructor(){super(),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new e.R({width:1,height:1}),this.dirty=!0}isLoaded(){return this.loaded}setLoaded(t){if(this.loaded!==t&&(this.loaded=t,t)){for(const{ids:t,promiseResolve:e}of this.requestors)e(this._getImagesForIds(t));this.requestors=[]}}getImage(t){const r=this.images[t];if(r&&!r.data&&r.spriteData){const t=r.spriteData;r.data=new e.R({width:t.width,height:t.height},t.context.getImageData(t.x,t.y,t.width,t.height).data),r.spriteData=null}return r}addImage(t,e){if(this.images[t])throw new Error(`Image id ${t} already exist, use updateImage instead`);this._validate(t,e)&&(this.images[t]=e)}_validate(t,r){let n=!0;const i=r.data||r.spriteData;return this._validateStretch(r.stretchX,i&&i.width)||(this.fire(new e.j(new Error(`Image \"${t}\" has invalid \"stretchX\" value`))),n=!1),this._validateStretch(r.stretchY,i&&i.height)||(this.fire(new e.j(new Error(`Image \"${t}\" has invalid \"stretchY\" value`))),n=!1),this._validateContent(r.content,r)||(this.fire(new e.j(new Error(`Image \"${t}\" has invalid \"content\" value`))),n=!1),n}_validateStretch(t,e){if(!t)return!0;let r=0;for(const n of t){if(n[0]<r||n[1]<n[0]||e<n[1])return!1;r=n[1]}return!0}_validateContent(t,e){if(!t)return!0;if(4!==t.length)return!1;const r=e.spriteData,n=r&&r.width||e.data.width,i=r&&r.height||e.data.height;return!(t[0]<0||n<t[0]||t[1]<0||i<t[1]||t[2]<0||n<t[2]||t[3]<0||i<t[3]||t[2]<t[0]||t[3]<t[1])}updateImage(t,e,r=!0){const n=this.getImage(t);if(r&&(n.data.width!==e.data.width||n.data.height!==e.data.height))throw new Error(`size mismatch between old image (${n.data.width}x${n.data.height}) and new image (${e.data.width}x${e.data.height}).`);e.version=n.version+1,this.images[t]=e,this.updatedImages[t]=!0}removeImage(t){const e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()}listImages(){return Object.keys(this.images)}getImages(t){return new Promise(((e,r)=>{let n=!0;if(!this.isLoaded())for(const e of t)this.images[e]||(n=!1);this.isLoaded()||n?e(this._getImagesForIds(t)):this.requestors.push({ids:t,promiseResolve:e})}))}_getImagesForIds(t){const r={};for(const n of t){let t=this.getImage(n);t||(this.fire(new e.k(\"styleimagemissing\",{id:n})),t=this.getImage(n)),t?r[n]={data:t.data.clone(),pixelRatio:t.pixelRatio,sdf:t.sdf,version:t.version,stretchX:t.stretchX,stretchY:t.stretchY,content:t.content,textFitWidth:t.textFitWidth,textFitHeight:t.textFitHeight,hasRenderCallback:Boolean(t.userImage&&t.userImage.render)}:e.w(`Image \"${n}\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.`)}return r}getPixelSize(){const{width:t,height:e}=this.atlasImage;return{width:t,height:e}}getPattern(t){const r=this.patterns[t],n=this.getImage(t);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{const r={w:n.data.width+2,h:n.data.height+2,x:0,y:0},i=new e.I(r,n);this.patterns[t]={bin:r,position:i}}return this._updatePatternAtlas(),this.patterns[t].position}bind(t){const e=t.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new w(t,this.atlasImage,e.RGBA),this.atlasTexture.bind(e.LINEAR,e.CLAMP_TO_EDGE)}_updatePatternAtlas(){const t=[];for(const e in this.patterns)t.push(this.patterns[e].bin);const{w:r,h:n}=e.p(t),i=this.atlasImage;i.resize({width:r||1,height:n||1});for(const t in this.patterns){const{bin:r}=this.patterns[t],n=r.x+1,a=r.y+1,o=this.getImage(t).data,s=o.width,l=o.height;e.R.copy(o,i,{x:0,y:0},{x:n,y:a},{width:s,height:l}),e.R.copy(o,i,{x:0,y:l-1},{x:n,y:a-1},{width:s,height:1}),e.R.copy(o,i,{x:0,y:0},{x:n,y:a+l},{width:s,height:1}),e.R.copy(o,i,{x:s-1,y:0},{x:n-1,y:a},{width:1,height:l}),e.R.copy(o,i,{x:0,y:0},{x:n+s,y:a},{width:1,height:l})}this.dirty=!0}beginFrame(){this.callbackDispatchedThisFrame={}}dispatchRenderCallbacks(t){for(const r of t){if(this.callbackDispatchedThisFrame[r])continue;this.callbackDispatchedThisFrame[r]=!0;const t=this.getImage(r);t||e.w(`Image with ID: \"${r}\" was not found`),T(t)&&this.updateImage(r,t)}}}const A=1e20;function M(t,e,r,n,i,a,o,s,l){for(let c=e;c<e+n;c++)S(t,r*a+c,a,i,o,s,l);for(let c=r;c<r+i;c++)S(t,c*a+e,1,n,o,s,l)}function S(t,e,r,n,i,a,o){a[0]=0,o[0]=-A,o[1]=A,i[0]=t[e];for(let s=1,l=0,c=0;s<n;s++){i[s]=t[e+s*r];const n=s*s;do{const t=a[l];c=(i[s]-i[t]+n-t*t)/(s-t)/2}while(c<=o[l]&&--l>-1);l++,a[l]=s,o[l]=c,o[l+1]=A}for(let s=0,l=0;s<n;s++){for(;o[l+1]<s;)l++;const n=a[l],c=s-n;t[e+s*r]=i[n]+c*c}}class E{constructor(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}}setURL(t){this.url=t}getGlyphs(t){return e._(this,void 0,void 0,(function*(){const e=[];for(const r in t)for(const n of t[r])e.push(this._getAndCacheGlyphsPromise(r,n));const r=yield Promise.all(e),n={};for(const{stack:t,id:e,glyph:i}of r)n[t]||(n[t]={}),n[t][e]=i&&{id:i.id,bitmap:i.bitmap.clone(),metrics:i.metrics};return n}))}_getAndCacheGlyphsPromise(t,r){return e._(this,void 0,void 0,(function*(){let e=this.entries[t];e||(e=this.entries[t]={glyphs:{},requests:{},ranges:{}});let n=e.glyphs[r];if(void 0!==n)return{stack:t,id:r,glyph:n};if(n=this._tinySDF(e,t,r),n)return e.glyphs[r]=n,{stack:t,id:r,glyph:n};const i=Math.floor(r/256);if(256*i>65535)throw new Error(\"glyphs > 65535 not supported\");if(e.ranges[i])return{stack:t,id:r,glyph:n};if(!this.url)throw new Error(\"glyphsUrl is not set\");if(!e.requests[i]){const r=E.loadGlyphRange(t,i,this.url,this.requestManager);e.requests[i]=r}const a=yield e.requests[i];for(const t in a)this._doesCharSupportLocalGlyph(+t)||(e.glyphs[+t]=a[+t]);return e.ranges[i]=!0,{stack:t,id:r,glyph:a[r]||null}}))}_doesCharSupportLocalGlyph(t){return!!this.localIdeographFontFamily&&(e.u[\"CJK Unified Ideographs\"](t)||e.u[\"Hangul Syllables\"](t)||e.u.Hiragana(t)||e.u.Katakana(t))}_tinySDF(t,r,n){const i=this.localIdeographFontFamily;if(!i)return;if(!this._doesCharSupportLocalGlyph(n))return;let a=t.tinySDF;if(!a){let e=\"400\";/bold/i.test(r)?e=\"900\":/medium/i.test(r)?e=\"500\":/light/i.test(r)&&(e=\"200\"),a=t.tinySDF=new E.TinySDF({fontSize:48,buffer:6,radius:16,cutoff:.25,fontFamily:i,fontWeight:e})}const o=a.draw(String.fromCharCode(n));return{id:n,bitmap:new e.o({width:o.width||60,height:o.height||60},o.data),metrics:{width:o.glyphWidth/2||24,height:o.glyphHeight/2||24,left:o.glyphLeft/2+.5||0,top:o.glyphTop/2-27.5||-8,advance:o.glyphAdvance/2||24,isDoubleResolution:!0}}}}E.loadGlyphRange=function(t,r,n,i){return e._(this,void 0,void 0,(function*(){const a=256*r,o=a+255,s=i.transformRequest(n.replace(\"{fontstack}\",t).replace(\"{range}\",`${a}-${o}`),\"Glyphs\"),l=yield e.l(s,new AbortController);if(!l||!l.data)throw new Error(`Could not load glyph range. range: ${r}, ${a}-${o}`);const c={};for(const t of e.n(l.data))c[t.id]=t;return c}))},E.TinySDF=class{constructor({fontSize:t=24,buffer:e=3,radius:r=8,cutoff:n=.25,fontFamily:i=\"sans-serif\",fontWeight:a=\"normal\",fontStyle:o=\"normal\"}={}){this.buffer=e,this.cutoff=n,this.radius=r;const s=this.size=t+4*e,l=this._createCanvas(s),c=this.ctx=l.getContext(\"2d\",{willReadFrequently:!0});c.font=`${o} ${a} ${t}px ${i}`,c.textBaseline=\"alphabetic\",c.textAlign=\"left\",c.fillStyle=\"black\",this.gridOuter=new Float64Array(s*s),this.gridInner=new Float64Array(s*s),this.f=new Float64Array(s),this.z=new Float64Array(s+1),this.v=new Uint16Array(s)}_createCanvas(t){const e=document.createElement(\"canvas\");return e.width=e.height=t,e}draw(t){const{width:e,actualBoundingBoxAscent:r,actualBoundingBoxDescent:n,actualBoundingBoxLeft:i,actualBoundingBoxRight:a}=this.ctx.measureText(t),o=Math.ceil(r),s=Math.max(0,Math.min(this.size-this.buffer,Math.ceil(a-i))),l=Math.min(this.size-this.buffer,o+Math.ceil(n)),c=s+2*this.buffer,u=l+2*this.buffer,h=Math.max(c*u,0),f=new Uint8ClampedArray(h),p={data:f,width:c,height:u,glyphWidth:s,glyphHeight:l,glyphTop:o,glyphLeft:0,glyphAdvance:e};if(0===s||0===l)return p;const{ctx:d,buffer:m,gridInner:g,gridOuter:y}=this;d.clearRect(m,m,s,l),d.fillText(t,m,m+o);const v=d.getImageData(m,m,s,l);y.fill(A,0,h),g.fill(0,0,h);for(let t=0;t<l;t++)for(let e=0;e<s;e++){const r=v.data[4*(t*s+e)+3]/255;if(0===r)continue;const n=(t+m)*c+e+m;if(1===r)y[n]=0,g[n]=A;else{const t=.5-r;y[n]=t>0?t*t:0,g[n]=t<0?t*t:0}}M(y,0,0,c,u,c,this.f,this.v,this.z),M(g,m,m,s,l,c,this.f,this.v,this.z);for(let t=0;t<h;t++){const e=Math.sqrt(y[t])-Math.sqrt(g[t]);f[t]=Math.round(255-255*(e/this.radius+this.cutoff))}return p}};class C{constructor(){this.specification=e.v.light.position}possiblyEvaluate(t,r){return e.y(t.expression.evaluate(r))}interpolate(t,r,n){return{x:e.z.number(t.x,r.x,n),y:e.z.number(t.y,r.y,n),z:e.z.number(t.z,r.z,n)}}}const L=\"-transition\";let I;class P extends e.E{constructor(t){super(),I=I||new e.q({anchor:new e.D(e.v.light.anchor),position:new C,color:new e.D(e.v.light.color),intensity:new e.D(e.v.light.intensity)}),this._transitionable=new e.T(I),this.setLight(t),this._transitioning=this._transitionable.untransitioned()}getLight(){return this._transitionable.serialize()}setLight(t,r={}){if(!this._validate(e.r,t,r))for(const e in t){const r=t[e];e.endsWith(L)?this._transitionable.setTransition(e.slice(0,-11),r):this._transitionable.setValue(e,r)}}updateTransitions(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)}hasTransition(){return this._transitioning.hasTransition()}recalculate(t){this.properties=this._transitioning.possiblyEvaluate(t)}_validate(t,r,n){return(!n||!1!==n.validate)&&e.t(this,t.call(e.x,{value:r,style:{glyphs:!0,sprite:!0},styleSpec:e.v}))}}const z=new e.q({\"sky-color\":new e.D(e.v.sky[\"sky-color\"]),\"horizon-color\":new e.D(e.v.sky[\"horizon-color\"]),\"fog-color\":new e.D(e.v.sky[\"fog-color\"]),\"fog-ground-blend\":new e.D(e.v.sky[\"fog-ground-blend\"]),\"horizon-fog-blend\":new e.D(e.v.sky[\"horizon-fog-blend\"]),\"sky-horizon-blend\":new e.D(e.v.sky[\"sky-horizon-blend\"]),\"atmosphere-blend\":new e.D(e.v.sky[\"atmosphere-blend\"])}),O=\"-transition\";class D extends e.E{constructor(t){super(),this._transitionable=new e.T(z),this.setSky(t),this._transitioning=this._transitionable.untransitioned()}setSky(t,r={}){if(!this._validate(e.B,t,r))for(const e in t){const r=t[e];e.endsWith(O)?this._transitionable.setTransition(e.slice(0,-11),r):this._transitionable.setValue(e,r)}}getSky(){return this._transitionable.serialize()}updateTransitions(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)}hasTransition(){return this._transitioning.hasTransition()}recalculate(t){this.properties=this._transitioning.possiblyEvaluate(t)}_validate(t,r,n={}){return!1!==(null==n?void 0:n.validate)&&e.t(this,t.call(e.x,e.e({value:r,style:{glyphs:!0,sprite:!0},styleSpec:e.v})))}calculateFogBlendOpacity(t){return t<60?0:t<70?(t-60)/10:1}}class R{constructor(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}}getDash(t,e){const r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]}getDashRanges(t,e,r){const n=[];let i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});let s=t[0];for(let e=1;e<t.length;e++){o=!o;const l=t[e];i=s*r,s+=l,a=s*r,n.push({left:i,right:a,isDash:o,zeroLength:0===l})}return n}addRoundDash(t,e,r){const n=e/2;for(let e=-r;e<=r;e++){const i=this.nextRow+r+e,a=this.width*i;let o=0,s=t[o];for(let i=0;i<this.width;i++){i/s.right>1&&(s=t[++o]);const l=Math.abs(i-s.left),c=Math.abs(i-s.right),u=Math.min(l,c);let h;const f=e/r*(n+1);if(s.isDash){const t=n-Math.abs(f);h=Math.sqrt(u*u+t*t)}else h=n-Math.sqrt(u*u+f*f);this.data[a+i]=Math.max(0,Math.min(255,h+128))}}}addRegularDash(t){for(let e=t.length-1;e>=0;--e){const r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}const e=t[0],r=t[t.length-1];e.isDash===r.isDash&&(e.left=r.left-this.width,r.right=e.right+this.width);const n=this.width*this.nextRow;let i=0,a=t[i];for(let e=0;e<this.width;e++){e/a.right>1&&(a=t[++i]);const r=Math.abs(e-a.left),o=Math.abs(e-a.right),s=Math.min(r,o),l=a.isDash?s:-s;this.data[n+e]=Math.max(0,Math.min(255,l+128))}}addDash(t,r){const n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return e.w(\"LineAtlas out of space\"),null;let a=0;for(let e=0;e<t.length;e++)a+=t[e];if(0!==a){const e=this.width/a,i=this.getDashRanges(t,this.width,e);r?this.addRoundDash(i,e,n):this.addRegularDash(i)}const o={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,o}bind(t){const e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))}}const F=\"maplibre_preloaded_worker_pool\";class B{constructor(){this.active={}}acquire(t){if(!this.workers)for(this.workers=[];this.workers.length<B.workerCount;)this.workers.push(new Worker(e.a.WORKER_URL));return this.active[t]=!0,this.workers.slice()}release(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((t=>{t.terminate()})),this.workers=null)}isPreloaded(){return!!this.active[F]}numActive(){return Object.keys(this.active).length}}const N=Math.floor(a.hardwareConcurrency/2);let j,U;function V(){return j||(j=new B),j}B.workerCount=e.C(globalThis)?Math.max(Math.min(N,3),1):1;class q{constructor(t,r){this.workerPool=t,this.actors=[],this.currentActor=0,this.id=r;const n=this.workerPool.acquire(r);for(let t=0;t<n.length;t++){const i=n[t],a=new e.F(i,r);a.name=`Worker ${t}`,this.actors.push(a)}if(!this.actors.length)throw new Error(\"No actors found\")}broadcast(t,e){const r=[];for(const n of this.actors)r.push(n.sendAsync({type:t,data:e}));return Promise.all(r)}getActor(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]}remove(t=!0){this.actors.forEach((t=>{t.remove()})),this.actors=[],t&&this.workerPool.release(this.id)}registerMessageHandler(t,e){for(const r of this.actors)r.registerMessageHandler(t,e)}}function H(){return U||(U=new q(V(),e.G),U.registerMessageHandler(\"GR\",((t,r,n)=>e.m(r,n)))),U}function G(t,r){const n=e.H();return e.J(n,n,[1,1,0]),e.K(n,n,[.5*t.width,.5*t.height,1]),e.L(n,n,t.calculatePosMatrix(r.toUnwrapped()))}function Z(t,e,r,n,i,a){const o=function(t,e,r){if(t)for(const n of t){const t=e[n];if(t&&t.source===r&&\"fill-extrusion\"===t.type)return!0}else for(const t in e){const n=e[t];if(n.source===r&&\"fill-extrusion\"===n.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(W);const c=[];for(const n of l)c.push({wrappedTileID:n.tileID.wrapped().key,queryResults:n.tile.queryRenderedFeatures(e,r,t._state,n.queryGeometry,n.cameraQueryGeometry,n.scale,i,a,s,G(t.transform,n.tileID))});const u=function(t){const e={},r={};for(const n of t){const t=n.queryResults,i=n.wrappedTileID,a=r[i]=r[i]||{};for(const r in t){const n=t[r],i=a[r]=a[r]||{},o=e[r]=e[r]||[];for(const t of n)i[t.featureIndex]||(i[t.featureIndex]=!0,o.push(t))}}return e}(c);for(const e in u)u[e].forEach((e=>{const r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return u}function W(t,e){const r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}function Y(t,r,n){return e._(this,void 0,void 0,(function*(){let i=t;if(t.url?i=(yield e.h(r.transformRequest(t.url,\"Source\"),n)).data:yield a.frameAsync(n),!i)return null;const o=e.M(e.e(i,t),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);return\"vector_layers\"in i&&i.vector_layers&&(o.vectorLayerIds=i.vector_layers.map((t=>t.id))),o}))}class X{constructor(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):Array.isArray(t)&&(4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1])))}setNorthEast(t){return this._ne=t instanceof e.N?new e.N(t.lng,t.lat):e.N.convert(t),this}setSouthWest(t){return this._sw=t instanceof e.N?new e.N(t.lng,t.lat):e.N.convert(t),this}extend(t){const r=this._sw,n=this._ne;let i,a;if(t instanceof e.N)i=t,a=t;else{if(!(t instanceof X)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){const e=t;return this.extend(X.convert(e))}{const r=t;return this.extend(e.N.convert(r))}}return t&&(\"lng\"in t||\"lon\"in t)&&\"lat\"in t?this.extend(e.N.convert(t)):this}if(i=t._sw,a=t._ne,!i||!a)return this}return r||n?(r.lng=Math.min(i.lng,r.lng),r.lat=Math.min(i.lat,r.lat),n.lng=Math.max(a.lng,n.lng),n.lat=Math.max(a.lat,n.lat)):(this._sw=new e.N(i.lng,i.lat),this._ne=new e.N(a.lng,a.lat)),this}getCenter(){return new e.N((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)}getSouthWest(){return this._sw}getNorthEast(){return this._ne}getNorthWest(){return new e.N(this.getWest(),this.getNorth())}getSouthEast(){return new e.N(this.getEast(),this.getSouth())}getWest(){return this._sw.lng}getSouth(){return this._sw.lat}getEast(){return this._ne.lng}getNorth(){return this._ne.lat}toArray(){return[this._sw.toArray(),this._ne.toArray()]}toString(){return`LngLatBounds(${this._sw.toString()}, ${this._ne.toString()})`}isEmpty(){return!(this._sw&&this._ne)}contains(t){const{lng:r,lat:n}=e.N.convert(t),i=this._sw.lat<=n&&n<=this._ne.lat;let a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a}static convert(t){return t instanceof X?t:t?new X(t):t}static fromLngLat(t,r=0){const n=360*r/40075017,i=n/Math.cos(Math.PI/180*t.lat);return new X(new e.N(t.lng-i,t.lat-n),new e.N(t.lng+i,t.lat+n))}}class ${constructor(t,e,r){this.bounds=X.convert(this.validateBounds(t)),this.minzoom=e||0,this.maxzoom=r||24}validateBounds(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]}contains(t){const r=Math.pow(2,t.z),n=Math.floor(e.O(this.bounds.getWest())*r),i=Math.floor(e.Q(this.bounds.getNorth())*r),a=Math.ceil(e.O(this.bounds.getEast())*r),o=Math.ceil(e.Q(this.bounds.getSouth())*r);return t.x>=n&&t.x<a&&t.y>=i&&t.y<o}}class J extends e.E{constructor(t,r,n,i){if(super(),this.id=t,this.dispatcher=n,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,e.e(this,e.M(r,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=e.e({type:\"vector\"},r),this._collectResourceTiming=r.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(i)}load(){return e._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new e.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{const t=yield Y(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,this.map.style.sourceCaches[this.id].clearTiles(),t&&(e.e(this,t),t.bounds&&(this.tileBounds=new $(t.bounds,this.minzoom,this.maxzoom)),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(t){this._tileJSONRequest=null,this.fire(new e.j(t))}}))}loaded(){return this._loaded}hasTile(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)}onAdd(t){this.map=t,this.load()}setSourceProperty(t){this._tileJSONRequest&&this._tileJSONRequest.abort(),t(),this.load()}setTiles(t){return this.setSourceProperty((()=>{this._options.tiles=t})),this}setUrl(t){return this.setSourceProperty((()=>{this.url=t,this._options.url=t})),this}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}serialize(){return e.e({},this._options)}loadTile(t){return e._(this,void 0,void 0,(function*(){const e=t.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),r={request:this.map._requestManager.transformRequest(e,\"Tile\"),uid:t.uid,tileID:t.tileID,zoom:t.tileID.overscaledZ,tileSize:this.tileSize*t.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};r.request.collectResourceTiming=this._collectResourceTiming;let n=\"RT\";if(t.actor&&\"expired\"!==t.state){if(\"loading\"===t.state)return new Promise(((e,r)=>{t.reloadPromise={resolve:e,reject:r}}))}else t.actor=this.dispatcher.getActor(),n=\"LT\";t.abortController=new AbortController;try{const e=yield t.actor.sendAsync({type:n,data:r},t.abortController);if(delete t.abortController,t.aborted)return;this._afterTileLoadWorkerResponse(t,e)}catch(e){if(delete t.abortController,t.aborted)return;if(e&&404!==e.status)throw e;this._afterTileLoadWorkerResponse(t,null)}}))}_afterTileLoadWorkerResponse(t,e){if(e&&e.resourceTiming&&(t.resourceTiming=e.resourceTiming),e&&this.map._refreshExpiredTiles&&t.setExpiryData(e),t.loadVectorData(e,this.map.painter),t.reloadPromise){const e=t.reloadPromise;t.reloadPromise=null,this.loadTile(t).then(e.resolve).catch(e.reject)}}abortTile(t){return e._(this,void 0,void 0,(function*(){t.abortController&&(t.abortController.abort(),delete t.abortController),t.actor&&(yield t.actor.sendAsync({type:\"AT\",data:{uid:t.uid,type:this.type,source:this.id}}))}))}unloadTile(t){return e._(this,void 0,void 0,(function*(){t.unloadVectorData(),t.actor&&(yield t.actor.sendAsync({type:\"RMT\",data:{uid:t.uid,type:this.type,source:this.id}}))}))}hasTransition(){return!1}}class K extends e.E{constructor(t,r,n,i){super(),this.id=t,this.dispatcher=n,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=e.e({type:\"raster\"},r),e.e(this,e.M(r,[\"url\",\"scheme\",\"tileSize\"]))}load(){return e._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new e.k(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=new AbortController;try{const t=yield Y(this._options,this.map._requestManager,this._tileJSONRequest);this._tileJSONRequest=null,this._loaded=!0,t&&(e.e(this,t),t.bounds&&(this.tileBounds=new $(t.bounds,this.minzoom,this.maxzoom)),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}catch(t){this._tileJSONRequest=null,this.fire(new e.j(t))}}))}loaded(){return this._loaded}onAdd(t){this.map=t,this.load()}onRemove(){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null)}setSourceProperty(t){this._tileJSONRequest&&(this._tileJSONRequest.abort(),this._tileJSONRequest=null),t(),this.load()}setTiles(t){return this.setSourceProperty((()=>{this._options.tiles=t})),this}setUrl(t){return this.setSourceProperty((()=>{this.url=t,this._options.url=t})),this}serialize(){return e.e({},this._options)}hasTile(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)}loadTile(t){return e._(this,void 0,void 0,(function*(){const e=t.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme);t.abortController=new AbortController;try{const r=yield p.getImage(this.map._requestManager.transformRequest(e,\"Tile\"),t.abortController,this.map._refreshExpiredTiles);if(delete t.abortController,t.aborted)return void(t.state=\"unloaded\");if(r&&r.data){this.map._refreshExpiredTiles&&r.cacheControl&&r.expires&&t.setExpiryData({cacheControl:r.cacheControl,expires:r.expires});const e=this.map.painter.context,n=e.gl,i=r.data;t.texture=this.map.painter.getTileTexture(i.width),t.texture?t.texture.update(i,{useMipmap:!0}):(t.texture=new w(e,i,n.RGBA,{useMipmap:!0}),t.texture.bind(n.LINEAR,n.CLAMP_TO_EDGE,n.LINEAR_MIPMAP_NEAREST)),t.state=\"loaded\"}}catch(e){if(delete t.abortController,t.aborted)t.state=\"unloaded\";else if(e)throw t.state=\"errored\",e}}))}abortTile(t){return e._(this,void 0,void 0,(function*(){t.abortController&&(t.abortController.abort(),delete t.abortController)}))}unloadTile(t){return e._(this,void 0,void 0,(function*(){t.texture&&this.map.painter.saveTileTexture(t.texture)}))}hasTransition(){return!1}}class Q extends K{constructor(t,r,n,i){super(t,r,n,i),this.type=\"raster-dem\",this.maxzoom=22,this._options=e.e({type:\"raster-dem\"},r),this.encoding=r.encoding||\"mapbox\",this.redFactor=r.redFactor,this.greenFactor=r.greenFactor,this.blueFactor=r.blueFactor,this.baseShift=r.baseShift}loadTile(t){return e._(this,void 0,void 0,(function*(){const r=t.tileID.canonical.url(this.tiles,this.map.getPixelRatio(),this.scheme),n=this.map._requestManager.transformRequest(r,\"Tile\");t.neighboringTiles=this._getNeighboringTiles(t.tileID),t.abortController=new AbortController;try{const r=yield p.getImage(n,t.abortController,this.map._refreshExpiredTiles);if(delete t.abortController,t.aborted)return void(t.state=\"unloaded\");if(r&&r.data){const n=r.data;this.map._refreshExpiredTiles&&r.cacheControl&&r.expires&&t.setExpiryData({cacheControl:r.cacheControl,expires:r.expires});const i=e.b(n)&&e.U()?n:yield this.readImageNow(n),a={type:this.type,uid:t.uid,source:this.id,rawImageData:i,encoding:this.encoding,redFactor:this.redFactor,greenFactor:this.greenFactor,blueFactor:this.blueFactor,baseShift:this.baseShift};if(!t.actor||\"expired\"===t.state){t.actor=this.dispatcher.getActor();const e=yield t.actor.sendAsync({type:\"LDT\",data:a});t.dem=e,t.needsHillshadePrepare=!0,t.needsTerrainPrepare=!0,t.state=\"loaded\"}}}catch(e){if(delete t.abortController,t.aborted)t.state=\"unloaded\";else if(e)throw t.state=\"errored\",e}}))}readImageNow(t){return e._(this,void 0,void 0,(function*(){if(\"undefined\"!=typeof VideoFrame&&e.V()){const r=t.width+2,n=t.height+2;try{return new e.R({width:r,height:n},yield e.W(t,-1,-1,r,n))}catch(t){}}return a.getImageData(t,1)}))}_getNeighboringTiles(t){const r=t.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?t.wrap-1:t.wrap,o=(r.x+1+n)%n,s=r.x+1===n?t.wrap+1:t.wrap,l={};return l[new e.S(t.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new e.S(t.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new e.S(t.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new e.S(t.overscaledZ,t.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new e.S(t.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new e.S(t.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new e.S(t.overscaledZ,t.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new e.S(t.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l}unloadTile(t){return e._(this,void 0,void 0,(function*(){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&&(yield t.actor.sendAsync({type:\"RDT\",data:{type:this.type,uid:t.uid,source:this.id}}))}))}}class tt extends e.E{constructor(t,r,n,i){super(),this.id=t,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._pendingLoads=0,this.actor=n.getActor(),this.setEventedParent(i),this._data=r.data,this._options=e.e({},r),this._collectResourceTiming=r.collectResourceTiming,void 0!==r.maxzoom&&(this.maxzoom=r.maxzoom),r.type&&(this.type=r.type),r.attribution&&(this.attribution=r.attribution),this.promoteId=r.promoteId;const a=e.X/this.tileSize;this.workerOptions=e.e({source:this.id,cluster:r.cluster||!1,geojsonVtOptions:{buffer:(void 0!==r.buffer?r.buffer:128)*a,tolerance:(void 0!==r.tolerance?r.tolerance:.375)*a,extent:e.X,maxZoom:this.maxzoom,lineMetrics:r.lineMetrics||!1,generateId:r.generateId||!1},superclusterOptions:{maxZoom:void 0!==r.clusterMaxZoom?r.clusterMaxZoom:this.maxzoom-1,minPoints:Math.max(2,r.clusterMinPoints||2),extent:e.X,radius:(r.clusterRadius||50)*a,log:!1,generateId:r.generateId||!1},clusterProperties:r.clusterProperties,filter:r.filter},r.workerOptions),\"string\"==typeof this.promoteId&&(this.workerOptions.promoteId=this.promoteId)}load(){return e._(this,void 0,void 0,(function*(){yield this._updateWorkerData()}))}onAdd(t){this.map=t,this.load()}setData(t){return this._data=t,this._updateWorkerData(),this}updateData(t){return this._updateWorkerData(t),this}getData(){return e._(this,void 0,void 0,(function*(){const t=e.e({type:this.type},this.workerOptions);return this.actor.sendAsync({type:\"GD\",data:t})}))}setClusterOptions(t){return this.workerOptions.cluster=t.cluster,t&&(void 0!==t.clusterRadius&&(this.workerOptions.superclusterOptions.radius=t.clusterRadius),void 0!==t.clusterMaxZoom&&(this.workerOptions.superclusterOptions.maxZoom=t.clusterMaxZoom)),this._updateWorkerData(),this}getClusterExpansionZoom(t){return this.actor.sendAsync({type:\"GCEZ\",data:{type:this.type,clusterId:t,source:this.id}})}getClusterChildren(t){return this.actor.sendAsync({type:\"GCC\",data:{type:this.type,clusterId:t,source:this.id}})}getClusterLeaves(t,e,r){return this.actor.sendAsync({type:\"GCL\",data:{type:this.type,source:this.id,clusterId:t,limit:e,offset:r}})}_updateWorkerData(t){return e._(this,void 0,void 0,(function*(){const r=e.e({type:this.type},this.workerOptions);t?r.dataDiff=t:\"string\"==typeof this._data?(r.request=this.map._requestManager.transformRequest(a.resolveURL(this._data),\"Source\"),r.request.collectResourceTiming=this._collectResourceTiming):r.data=JSON.stringify(this._data),this._pendingLoads++,this.fire(new e.k(\"dataloading\",{dataType:\"source\"}));try{const t=yield this.actor.sendAsync({type:\"LD\",data:r});if(this._pendingLoads--,this._removed||t.abandoned)return void this.fire(new e.k(\"dataabort\",{dataType:\"source\"}));let n=null;t.resourceTiming&&t.resourceTiming[this.id]&&(n=t.resourceTiming[this.id].slice(0));const i={dataType:\"source\"};this._collectResourceTiming&&n&&n.length>0&&e.e(i,{resourceTiming:n}),this.fire(new e.k(\"data\",Object.assign(Object.assign({},i),{sourceDataType:\"metadata\"}))),this.fire(new e.k(\"data\",Object.assign(Object.assign({},i),{sourceDataType:\"content\"})))}catch(t){if(this._pendingLoads--,this._removed)return void this.fire(new e.k(\"dataabort\",{dataType:\"source\"}));this.fire(new e.j(t))}}))}loaded(){return 0===this._pendingLoads}loadTile(t){return e._(this,void 0,void 0,(function*(){const e=t.actor?\"RT\":\"LT\";t.actor=this.actor;const r={type:this.type,uid:t.uid,tileID:t.tileID,zoom:t.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:this.map.getPixelRatio(),showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};t.abortController=new AbortController;const n=yield this.actor.sendAsync({type:e,data:r},t.abortController);delete t.abortController,t.unloadVectorData(),t.aborted||t.loadVectorData(n,this.map.painter,\"RT\"===e)}))}abortTile(t){return e._(this,void 0,void 0,(function*(){t.abortController&&(t.abortController.abort(),delete t.abortController),t.aborted=!0}))}unloadTile(t){return e._(this,void 0,void 0,(function*(){t.unloadVectorData(),yield this.actor.sendAsync({type:\"RMT\",data:{uid:t.uid,type:this.type,source:this.id}})}))}onRemove(){this._removed=!0,this.actor.sendAsync({type:\"RS\",data:{type:this.type,source:this.id}})}serialize(){return e.e({},this._options,{type:this.type,data:this._data})}hasTransition(){return!1}}var et=e.Y([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]);class rt extends e.E{constructor(t,e,r,n){super(),this.id=t,this.dispatcher=r,this.coordinates=e.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(n),this.options=e}load(t){return e._(this,void 0,void 0,(function*(){this._loaded=!1,this.fire(new e.k(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,this._request=new AbortController;try{const e=yield p.getImage(this.map._requestManager.transformRequest(this.url,\"Image\"),this._request);this._request=null,this._loaded=!0,e&&e.data&&(this.image=e.data,t&&(this.coordinates=t),this._finishLoading())}catch(t){this._request=null,this._loaded=!0,this.fire(new e.j(t))}}))}loaded(){return this._loaded}updateImage(t){return t.url?(this._request&&(this._request.abort(),this._request=null),this.options.url=t.url,this.load(t.coordinates).finally((()=>{this.texture=null})),this):this}_finishLoading(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))}onAdd(t){this.map=t,this.load()}onRemove(){this._request&&(this._request.abort(),this._request=null)}setCoordinates(t){this.coordinates=t;const r=t.map(e.Z.fromLngLat);this.tileID=function(t){let r=1/0,n=1/0,i=-1/0,a=-1/0;for(const e of t)r=Math.min(r,e.x),n=Math.min(n,e.y),i=Math.max(i,e.x),a=Math.max(a,e.y);const o=i-r,s=a-n,l=Math.max(o,s),c=Math.max(0,Math.floor(-Math.log(l)/Math.LN2)),u=Math.pow(2,c);return new e.a1(c,Math.floor((r+i)/2*u),Math.floor((n+a)/2*u))}(r),this.minzoom=this.maxzoom=this.tileID.z;const n=r.map((t=>this.tileID.getTilePoint(t)._round()));return this._boundsArray=new e.$,this._boundsArray.emplaceBack(n[0].x,n[0].y,0,0),this._boundsArray.emplaceBack(n[1].x,n[1].y,e.X,0),this._boundsArray.emplaceBack(n[3].x,n[3].y,0,e.X),this._boundsArray.emplaceBack(n[2].x,n[2].y,e.X,e.X),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this}prepare(){if(0===Object.keys(this.tiles).length||!this.image)return;const t=this.map.painter.context,r=t.gl;this.boundsBuffer||(this.boundsBuffer=t.createVertexBuffer(this._boundsArray,et.members)),this.boundsSegments||(this.boundsSegments=e.a0.simpleSegment(0,0,4,2)),this.texture||(this.texture=new w(t,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE));let n=!1;for(const t in this.tiles){const e=this.tiles[t];\"loaded\"!==e.state&&(e.state=\"loaded\",e.texture=this.texture,n=!0)}n&&this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}loadTile(t){return e._(this,void 0,void 0,(function*(){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={}):t.state=\"errored\"}))}serialize(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}}hasTransition(){return!1}}class nt extends rt{constructor(t,e,r,n){super(t,e,r,n),this.roundZoom=!0,this.type=\"video\",this.options=e}load(){return e._(this,void 0,void 0,(function*(){this._loaded=!1;const t=this.options;this.urls=[];for(const e of t.urls)this.urls.push(this.map._requestManager.transformRequest(e,\"Source\").url);try{const t=yield e.a3(this.urls);if(this._loaded=!0,!t)return;this.video=t,this.video.loop=!0,this.video.addEventListener(\"playing\",(()=>{this.map.triggerRepaint()})),this.map&&this.video.play(),this._finishLoading()}catch(t){this.fire(new e.j(t))}}))}pause(){this.video&&this.video.pause()}play(){this.video&&this.video.play()}seek(t){if(this.video){const r=this.video.seekable;t<r.start(0)||t>r.end(0)?this.fire(new e.j(new e.a2(`sources.${this.id}`,null,`Playback for this video can be set only between the ${r.start(0)} and ${r.end(0)}-second mark.`))):this.video.currentTime=t}}getVideo(){return this.video}onAdd(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))}prepare(){if(0===Object.keys(this.tiles).length||this.video.readyState<2)return;const t=this.map.painter.context,r=t.gl;this.boundsBuffer||(this.boundsBuffer=t.createVertexBuffer(this._boundsArray,et.members)),this.boundsSegments||(this.boundsSegments=e.a0.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new w(t,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE));let n=!1;for(const t in this.tiles){const e=this.tiles[t];\"loaded\"!==e.state&&(e.state=\"loaded\",e.texture=this.texture,n=!0)}n&&this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}}hasTransition(){return this.video&&!this.video.paused}}class it extends rt{constructor(t,r,n,i){super(t,r,n,i),r.coordinates?Array.isArray(r.coordinates)&&4===r.coordinates.length&&!r.coordinates.some((t=>!Array.isArray(t)||2!==t.length||t.some((t=>\"number\"!=typeof t))))||this.fire(new e.j(new e.a2(`sources.${t}`,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new e.j(new e.a2(`sources.${t}`,null,'missing required property \"coordinates\"'))),r.animate&&\"boolean\"!=typeof r.animate&&this.fire(new e.j(new e.a2(`sources.${t}`,null,'optional \"animate\" property must be a boolean value'))),r.canvas?\"string\"==typeof r.canvas||r.canvas instanceof HTMLCanvasElement||this.fire(new e.j(new e.a2(`sources.${t}`,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new e.j(new e.a2(`sources.${t}`,null,'missing required property \"canvas\"'))),this.options=r,this.animate=void 0===r.animate||r.animate}load(){return e._(this,void 0,void 0,(function*(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof HTMLCanvasElement?this.options.canvas:document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new e.j(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())}))}getCanvas(){return this.canvas}onAdd(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()}onRemove(){this.pause()}prepare(){let t=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,t=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,t=!0),this._hasInvalidDimensions())return;if(0===Object.keys(this.tiles).length)return;const r=this.map.painter.context,n=r.gl;this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,et.members)),this.boundsSegments||(this.boundsSegments=e.a0.simpleSegment(0,0,4,2)),this.texture?(t||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new w(r,this.canvas,n.RGBA,{premultiply:!0});let i=!1;for(const t in this.tiles){const e=this.tiles[t];\"loaded\"!==e.state&&(e.state=\"loaded\",e.texture=this.texture,i=!0)}i&&this.fire(new e.k(\"data\",{dataType:\"source\",sourceDataType:\"idle\",sourceId:this.id}))}serialize(){return{type:\"canvas\",coordinates:this.coordinates}}hasTransition(){return this._playing}_hasInvalidDimensions(){for(const t of[this.canvas.width,this.canvas.height])if(isNaN(t)||t<=0)return!0;return!1}}const at={},ot=t=>{switch(t){case\"geojson\":return tt;case\"image\":return rt;case\"raster\":return K;case\"raster-dem\":return Q;case\"vector\":return J;case\"video\":return nt;case\"canvas\":return it}return at[t]};const st=\"RTLPluginLoaded\";class lt extends e.E{constructor(){super(...arguments),this.status=\"unavailable\",this.url=null,this.dispatcher=H()}_syncState(t){return this.status=t,this.dispatcher.broadcast(\"SRPS\",{pluginStatus:t,pluginURL:this.url}).catch((t=>{throw this.status=\"error\",t}))}getRTLTextPluginStatus(){return this.status}clearRTLTextPlugin(){this.status=\"unavailable\",this.url=null}setRTLTextPlugin(t){return e._(this,arguments,void 0,(function*(t,e=!1){if(this.url)throw new Error(\"setRTLTextPlugin cannot be called multiple times.\");if(this.url=a.resolveURL(t),!this.url)throw new Error(`requested url ${t} is invalid`);if(\"unavailable\"===this.status){if(!e)return this._requestImport();this.status=\"deferred\",this._syncState(this.status)}else if(\"requested\"===this.status)return this._requestImport()}))}_requestImport(){return e._(this,void 0,void 0,(function*(){yield this._syncState(\"loading\"),this.status=\"loaded\",this.fire(new e.k(st))}))}lazyLoad(){\"unavailable\"===this.status?this.status=\"requested\":\"deferred\"===this.status&&this._requestImport()}}let ct=null;function ut(){return ct||(ct=new lt),ct}class ht{constructor(t,r){this.timeAdded=0,this.fadeEndTime=0,this.tileID=t,this.uid=e.a4(),this.uses=0,this.tileSize=r,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.rtt=[],this.rttCoords={},this.expiredRequestCount=0,this.state=\"loading\"}registerFadeDuration(t){const e=t+this.timeAdded;e<this.fadeEndTime||(this.fadeEndTime=e)}wasRequested(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state}clearTextures(t){this.demTexture&&t.saveTileTexture(this.demTexture),this.demTexture=null}loadVectorData(t,r,n){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){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){const r={};if(!e)return r;for(const n of t){const t=n.layerIds.map((t=>e.getLayer(t))).filter(Boolean);if(0!==t.length){n.layers=t,n.stateDependentLayerIds&&(n.stateDependentLayers=n.stateDependentLayerIds.map((e=>t.filter((t=>t.id===e))[0])));for(const e of t)r[e.id]=n}}return r}(t.buckets,r.style),this.hasSymbolBuckets=!1;for(const t in this.buckets){const r=this.buckets[t];if(r instanceof e.a6){if(this.hasSymbolBuckets=!0,!n)break;r.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(const t in this.buckets){const r=this.buckets[t];if(r instanceof e.a6&&r.hasRTLText){this.hasRTLText=!0,ut().lazyLoad();break}}this.queryPadding=0;for(const t in this.buckets){const e=this.buckets[t];this.queryPadding=Math.max(this.queryPadding,r.style.getLayer(t).queryRadius(e))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new e.a5}unloadVectorData(){for(const 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\"}getBucket(t){return this.buckets[t.id]}upload(t){for(const e in this.buckets){const r=this.buckets[e];r.uploadPending()&&r.upload(t)}const e=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new w(t,this.imageAtlas.image,e.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new w(t,this.glyphAtlasImage,e.ALPHA),this.glyphAtlasImage=null)}prepare(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)}queryRenderedFeatures(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}}querySourceFeatures(t,r){const n=this.latestFeatureIndex;if(!n||!n.rawTileData)return;const i=n.loadVTLayers(),a=r&&r.sourceLayer?r.sourceLayer:\"\",o=i._geojsonTileLayer||i[a];if(!o)return;const s=e.a7(r&&r.filter),{z:l,x:c,y:u}=this.tileID.canonical,h={z:l,x:c,y:u};for(let r=0;r<o.length;r++){const i=o.feature(r);if(s.needGeometry){const t=e.a8(i,!0);if(!s.filter(new e.a9(this.tileID.overscaledZ),t,this.tileID.canonical))continue}else if(!s.filter(new e.a9(this.tileID.overscaledZ),i))continue;const f=n.getId(i,a),p=new e.aa(i,l,c,u,f);p.tile=h,t.push(p)}}hasData(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state}patternsLoaded(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length}setExpiryData(t){const r=this.expirationTime;if(t.cacheControl){const r=e.ab(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){const t=Date.now();let e=!1;if(this.expirationTime>t)e=!1;else if(r)if(this.expirationTime<r)e=!0;else{const n=this.expirationTime-r;n?this.expirationTime=t+Math.max(n,3e4):e=!0}else e=!0;e?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}}getExpiryTimeout(){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)}setFeatureState(t,e){if(!this.latestFeatureIndex||!this.latestFeatureIndex.rawTileData||0===Object.keys(t).length)return;const r=this.latestFeatureIndex.loadVTLayers();for(const n in this.buckets){if(!e.style.hasLayer(n))continue;const i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(!o||!s||0===Object.keys(s).length)continue;i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});const l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}holdingForFade(){return void 0!==this.symbolFadeHoldUntil}symbolFadeFinished(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<a.now()}clearFadeHold(){this.symbolFadeHoldUntil=void 0}setHoldDuration(t){this.symbolFadeHoldUntil=a.now()+t}setDependencies(t,e){const r={};for(const t of e)r[t]=!0;this.dependencies[t]=r}hasDependency(t,e){for(const r of t){const t=this.dependencies[r];if(t)for(const r of e)if(t[r])return!0}return!1}}class ft{constructor(t,e){this.max=t,this.onRemove=e,this.reset()}reset(){for(const t in this.data)for(const e of this.data[t])e.timeout&&clearTimeout(e.timeout),this.onRemove(e.value);return this.data={},this.order=[],this}add(t,e,r){const n=t.wrapped().key;void 0===this.data[n]&&(this.data[n]=[]);const i={value:e,timeout:void 0};if(void 0!==r&&(i.timeout=setTimeout((()=>{this.remove(t,i)}),r)),this.data[n].push(i),this.order.push(n),this.order.length>this.max){const t=this._getAndRemoveByKey(this.order[0]);t&&this.onRemove(t)}return this}has(t){return t.wrapped().key in this.data}getAndRemove(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null}_getAndRemoveByKey(t){const e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value}getByKey(t){const e=this.data[t];return e?e[0].value:null}get(t){return this.has(t)?this.data[t.wrapped().key][0].value:null}remove(t,e){if(!this.has(t))return this;const r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this}setMaxSize(t){for(this.max=t;this.order.length>this.max;){const t=this._getAndRemoveByKey(this.order[0]);t&&this.onRemove(t)}return this}filter(t){const e=[];for(const r in this.data)for(const n of this.data[r])t(n.value)||e.push(n);for(const t of e)this.remove(t.value.tileID,t)}}class pt{constructor(){this.state={},this.stateChanges={},this.deletedStates={}}updateState(t,r,n){const i=String(r);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][i]=this.stateChanges[t][i]||{},e.e(this.stateChanges[t][i],n),null===this.deletedStates[t]){this.deletedStates[t]={};for(const e in this.state[t])e!==i&&(this.deletedStates[t][e]=null)}else if(this.deletedStates[t]&&null===this.deletedStates[t][i]){this.deletedStates[t][i]={};for(const e in this.state[t][i])n[e]||(this.deletedStates[t][i][e]=null)}else for(const e in n)this.deletedStates[t]&&this.deletedStates[t][i]&&null===this.deletedStates[t][i][e]&&delete this.deletedStates[t][i][e]}removeFeatureState(t,e,r){if(null===this.deletedStates[t])return;const n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e)if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null;else this.deletedStates[t]=null}getState(t,r){const n=String(r),i=this.state[t]||{},a=this.stateChanges[t]||{},o=e.e({},i[n],a[n]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){const e=this.deletedStates[t][r];if(null===e)return{};for(const t in e)delete o[t]}return o}initializeTileState(t,e){t.setFeatureState(this.state,e)}coalesceChanges(t,r){const n={};for(const t in this.stateChanges){this.state[t]=this.state[t]||{};const r={};for(const n in this.stateChanges[t])this.state[t][n]||(this.state[t][n]={}),e.e(this.state[t][n],this.stateChanges[t][n]),r[n]=this.state[t][n];n[t]=r}for(const t in this.deletedStates){this.state[t]=this.state[t]||{};const r={};if(null===this.deletedStates[t])for(const e in this.state[t])r[e]={},this.state[t][e]={};else for(const e in this.deletedStates[t]){if(null===this.deletedStates[t][e])this.state[t][e]={};else for(const r of Object.keys(this.deletedStates[t][e]))delete this.state[t][e][r];r[e]=this.state[t][e]}n[t]=n[t]||{},e.e(n[t],r)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(n).length)for(const e in t)t[e].setFeatureState(n,r)}}class dt extends e.E{constructor(t,e,r){super(),this.id=t,this.dispatcher=r,this.on(\"data\",(t=>this._dataHandler(t))),this.on(\"dataloading\",(()=>{this._sourceErrored=!1})),this.on(\"error\",(()=>{this._sourceErrored=this._source.loaded()})),this._source=((t,e,r,n)=>{const i=new(ot(e.type))(t,e,r,n);if(i.id!==t)throw new Error(`Expected Source id to be ${t} instead of ${i.id}`);return i})(t,e,r,this),this._tiles={},this._cache=new ft(0,(t=>this._unloadTile(t))),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._maxTileCacheZoomLevels=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new pt,this._didEmitContent=!1,this._updated=!1}onAdd(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._maxTileCacheZoomLevels=t?t._maxTileCacheZoomLevels:null,this._source&&this._source.onAdd&&this._source.onAdd(t)}onRemove(t){this.clearTiles(),this._source&&this._source.onRemove&&this._source.onRemove(t)}loaded(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;if(!(void 0===this.used&&void 0===this.usedForTerrain||this.used||this.usedForTerrain))return!0;if(!this._updated)return!1;for(const t in this._tiles){const e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0}getSource(){return this._source}pause(){this._paused=!0}resume(){if(!this._paused)return;const t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform,this.terrain)}_loadTile(t,r,n){return e._(this,void 0,void 0,(function*(){try{yield this._source.loadTile(t),this._tileLoaded(t,r,n)}catch(r){t.state=\"errored\",404!==r.status?this._source.fire(new e.j(r,{tile:t})):this.update(this.transform,this.terrain)}}))}_unloadTile(t){this._source.unloadTile&&this._source.unloadTile(t)}_abortTile(t){this._source.abortTile&&this._source.abortTile(t),this._source.fire(new e.k(\"dataabort\",{tile:t,coord:t.tileID,dataType:\"source\"}))}serialize(){return this._source.serialize()}prepare(t){this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null);for(const e in this._tiles){const r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}}getIds(){return Object.values(this._tiles).map((t=>t.tileID)).sort(mt).map((t=>t.key))}getRenderableIds(t){const r=[];for(const e in this._tiles)this._isIdRenderable(e,t)&&r.push(this._tiles[e]);return t?r.sort(((t,r)=>{const n=t.tileID,i=r.tileID,a=new e.P(n.canonical.x,n.canonical.y)._rotate(this.transform.angle),o=new e.P(i.canonical.x,i.canonical.y)._rotate(this.transform.angle);return n.overscaledZ-i.overscaledZ||o.y-a.y||o.x-a.x})).map((t=>t.tileID.key)):r.map((t=>t.tileID)).sort(mt).map((t=>t.key))}hasRenderableParent(t){const e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)}_isIdRenderable(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())}reload(){if(this._paused)this._shouldReloadOnResume=!0;else{this._cache.reset();for(const t in this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")}}_reloadTile(t,r){return e._(this,void 0,void 0,(function*(){const e=this._tiles[t];e&&(\"loading\"!==e.state&&(e.state=r),yield this._loadTile(e,t,r))}))}_tileLoaded(t,r,n){t.timeAdded=a.now(),\"expired\"===n&&(t.refreshedUponExpiration=!0),this._setTileReloadTimer(r,t),\"raster-dem\"===this.getSource().type&&t.dem&&this._backfillDEM(t),this._state.initializeTileState(t,this.map?this.map.painter:null),t.aborted||this._source.fire(new e.k(\"data\",{dataType:\"source\",tile:t,coord:t.tileID}))}_backfillDEM(t){const e=this.getRenderableIds();for(let n=0;n<e.length;n++){const i=e[n];if(t.neighboringTiles&&t.neighboringTiles[i]){const e=this.getTileByID(i);r(t,e),r(e,t)}}function r(t,e){t.needsHillshadePrepare=!0,t.needsTerrainPrepare=!0;let r=e.tileID.canonical.x-t.tileID.canonical.x;const n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}}getTile(t){return this.getTileByID(t.key)}getTileByID(t){return this._tiles[t]}_retainLoadedChildren(t,e,r,n){for(const i in this._tiles){let a=this._tiles[i];if(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)continue;let o=a.tileID;for(;a&&a.tileID.overscaledZ>e+1;){const t=a.tileID.scaledTo(a.tileID.overscaledZ-1);a=this._tiles[t.key],a&&a.hasData()&&(o=t)}let s=o;for(;s.overscaledZ>e;)if(s=s.scaledTo(s.overscaledZ-1),t[s.key]){n[o.key]=o;break}}}findLoadedParent(t,e){if(t.key in this._loadedParentTiles){const r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(let r=t.overscaledZ-1;r>=e;r--){const e=t.scaledTo(r),n=this._getLoadedTile(e);if(n)return n}}findLoadedSibling(t){return this._getLoadedTile(t)}_getLoadedTile(t){const e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)}updateCacheSize(t){const r=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),n=null===this._maxTileCacheZoomLevels?e.a.MAX_TILE_CACHE_ZOOM_LEVELS:this._maxTileCacheZoomLevels,i=Math.floor(r*n),a=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,i):i;this._cache.setMaxSize(a)}handleWrapJump(t){const e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){const t={};for(const e in this._tiles){const n=this._tiles[e];n.tileID=n.tileID.unwrapTo(n.tileID.wrap+r),t[n.tileID.key]=n}this._tiles=t;for(const t in this._timers)clearTimeout(this._timers[t]),delete this._timers[t];for(const t in this._tiles){const e=this._tiles[t];this._setTileReloadTimer(t,e)}}}_updateCoveredAndRetainedTiles(t,e,r,n,i,o){const s={},l={},c=Object.keys(t),u=a.now();for(const r of c){const n=t[r],i=this._tiles[r];if(!i||0!==i.fadeEndTime&&i.fadeEndTime<=u)continue;const a=this.findLoadedParent(n,e),o=this.findLoadedSibling(n),c=a||o||null;c&&(this._addTile(c.tileID),s[c.tileID.key]=c.tileID),l[r]=n}this._retainLoadedChildren(l,n,r,t);for(const e in s)t[e]||(this._coveredTiles[e]=!0,t[e]=s[e]);if(o){const e={},r={};for(const t of i)this._tiles[t.key].hasData()?e[t.key]=t:r[t.key]=t;for(const n in r){const i=r[n].children(this._source.maxzoom);this._tiles[i[0].key]&&this._tiles[i[1].key]&&this._tiles[i[2].key]&&this._tiles[i[3].key]&&(e[i[0].key]=t[i[0].key]=i[0],e[i[1].key]=t[i[1].key]=i[1],e[i[2].key]=t[i[2].key]=i[2],e[i[3].key]=t[i[3].key]=i[3],delete r[n])}for(const n in r){const i=r[n],a=this.findLoadedParent(i,this._source.minzoom),o=this.findLoadedSibling(i),s=a||o||null;if(s){e[s.tileID.key]=t[s.tileID.key]=s.tileID;for(const t in e)e[t].isChildOf(s.tileID)&&delete e[t]}}for(const t in this._tiles)e[t]||(this._coveredTiles[t]=!0)}}update(t,r){if(!this._sourceLoaded||this._paused)return;let n;this.transform=t,this.terrain=r,this.updateCacheSize(t),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used||this.usedForTerrain?this._source.tileID?n=t.getVisibleUnwrappedCoordinates(this._source.tileID).map((t=>new e.S(t.canonical.z,t.wrap,t.canonical.z,t.canonical.x,t.canonical.y))):(n=t.coveringTiles({tileSize:this.usedForTerrain?this.tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:!this.usedForTerrain&&this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled,terrain:r}),this._source.hasTile&&(n=n.filter((t=>this._source.hasTile(t))))):n=[];const i=t.coveringZoomLevel(this._source),a=Math.max(i-dt.maxOverzooming,this._source.minzoom),o=Math.max(i+dt.maxUnderzooming,this._source.minzoom);if(this.usedForTerrain){const t={};for(const e of n)if(e.canonical.z>this._source.minzoom){const r=e.scaledTo(e.canonical.z-1);t[r.key]=r;const n=e.scaledTo(Math.max(this._source.minzoom,Math.min(e.canonical.z,5)));t[n.key]=n}n=n.concat(Object.values(t))}const s=0===n.length&&!this._updated&&this._didEmitContent;this._updated=!0,s&&this.fire(new e.k(\"data\",{sourceDataType:\"idle\",dataType:\"source\",sourceId:this.id}));const l=this._updateRetainedTiles(n,i);gt(this._source.type)&&this._updateCoveredAndRetainedTiles(l,a,o,i,n,r);for(const t in l)this._tiles[t].clearFadeHold();const c=e.ac(this._tiles,l);for(const t of c){const e=this._tiles[t];e.hasSymbolBuckets&&!e.holdingForFade()?e.setHoldDuration(this.map._fadeDuration):e.hasSymbolBuckets&&!e.symbolFadeFinished()||this._removeTile(t)}this._updateLoadedParentTileCache(),this._updateLoadedSiblingTileCache()}releaseSymbolFadeTiles(){for(const t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)}_updateRetainedTiles(t,e){var r;const n={},i={},a=Math.max(e-dt.maxOverzooming,this._source.minzoom),o=Math.max(e+dt.maxUnderzooming,this._source.minzoom),s={};for(const r of t){const t=this._addTile(r);n[r.key]=r,t.hasData()||e<this._source.maxzoom&&(s[r.key]=r)}this._retainLoadedChildren(s,e,o,n);for(const o of t){let t=this._tiles[o.key];if(t.hasData())continue;if(e+1>this._source.maxzoom){const t=o.children(this._source.maxzoom)[0],e=this.getTile(t);if(e&&e.hasData()){n[t.key]=t;continue}}else{const t=o.children(this._source.maxzoom);if(n[t[0].key]&&n[t[1].key]&&n[t[2].key]&&n[t[3].key])continue}let s=t.wasRequested();for(let e=o.overscaledZ-1;e>=a;--e){const a=o.scaledTo(e);if(i[a.key])break;if(i[a.key]=!0,t=this.getTile(a),!t&&s&&(t=this._addTile(a)),t){const e=t.hasData();if((e||!(null===(r=this.map)||void 0===r?void 0:r.cancelPendingTileRequestsWhileZooming)||s)&&(n[a.key]=a),s=t.wasRequested(),e)break}}}return n}_updateLoadedParentTileCache(){this._loadedParentTiles={};for(const t in this._tiles){const e=[];let r,n=this._tiles[t].tileID;for(;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);const t=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(t),r)break;n=t}for(const t of e)this._loadedParentTiles[t]=r}}_updateLoadedSiblingTileCache(){this._loadedSiblingTiles={};for(const t in this._tiles){const e=this._tiles[t].tileID,r=this._getLoadedTile(e);this._loadedSiblingTiles[e.key]=r}}_addTile(t){let r=this._tiles[t.key];if(r)return r;r=this._cache.getAndRemove(t),r&&(this._setTileReloadTimer(t.key,r),r.tileID=t,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[t.key]&&(clearTimeout(this._cacheTimers[t.key]),delete this._cacheTimers[t.key],this._setTileReloadTimer(t.key,r)));const n=r;return r||(r=new ht(t,this._source.tileSize*t.overscaleFactor()),this._loadTile(r,t.key,r.state)),r.uses++,this._tiles[t.key]=r,n||this._source.fire(new e.k(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r}_setTileReloadTimer(t,e){t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);const r=e.getExpiryTimeout();r&&(this._timers[t]=setTimeout((()=>{this._reloadTile(t,\"expired\"),delete this._timers[t]}),r))}_removeTile(t){const 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))))}_dataHandler(t){const e=t.sourceDataType;\"source\"===t.dataType&&\"metadata\"===e&&(this._sourceLoaded=!0),this._sourceLoaded&&!this._paused&&\"source\"===t.dataType&&\"content\"===e&&(this.reload(),this.transform&&this.update(this.transform,this.terrain),this._didEmitContent=!0)}clearTiles(){this._shouldReloadOnResume=!1,this._paused=!1;for(const t in this._tiles)this._removeTile(t);this._cache.reset()}tilesIn(t,r,n){const i=[],a=this.transform;if(!a)return i;const o=n?a.getCameraQueryGeometry(t):t,s=t.map((t=>a.pointCoordinate(t,this.terrain))),l=o.map((t=>a.pointCoordinate(t,this.terrain))),c=this.getIds();let u=1/0,h=1/0,f=-1/0,p=-1/0;for(const t of l)u=Math.min(u,t.x),h=Math.min(h,t.y),f=Math.max(f,t.x),p=Math.max(p,t.y);for(let t=0;t<c.length;t++){const n=this._tiles[c[t]];if(n.holdingForFade())continue;const o=n.tileID,d=Math.pow(2,a.zoom-n.tileID.overscaledZ),m=r*n.queryPadding*e.X/n.tileSize/d,g=[o.getTilePoint(new e.Z(u,h)),o.getTilePoint(new e.Z(f,p))];if(g[0].x-m<e.X&&g[0].y-m<e.X&&g[1].x+m>=0&&g[1].y+m>=0){const t=s.map((t=>o.getTilePoint(t))),e=l.map((t=>o.getTilePoint(t)));i.push({tile:n,tileID:o,queryGeometry:t,cameraQueryGeometry:e,scale:d})}}return i}getVisibleCoordinates(t){const e=this.getRenderableIds(t).map((t=>this._tiles[t].tileID));for(const t of e)t.posMatrix=this.transform.calculatePosMatrix(t.toUnwrapped());return e}hasTransition(){if(this._source.hasTransition())return!0;if(gt(this._source.type)){const t=a.now();for(const e in this._tiles)if(this._tiles[e].fadeEndTime>=t)return!0}return!1}setFeatureState(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)}removeFeatureState(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)}getFeatureState(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)}setDependencies(t,e,r){const n=this._tiles[t];n&&n.setDependencies(e,r)}reloadTilesForDependencies(t,e){for(const r in this._tiles)this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\");this._cache.filter((r=>!r.hasDependency(t,e)))}}function mt(t,e){const r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function gt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}dt.maxOverzooming=10,dt.maxUnderzooming=3;class yt{constructor(t,e){this.reset(t,e)}reset(t,e){this.points=t||[],this._distances=[0];for(let t=1;t<this.points.length;t++)this._distances[t]=this._distances[t-1]+this.points[t].dist(this.points[t-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding}lerp(t){if(1===this.points.length)return this.points[0];t=e.ad(t,0,1);let r=1,n=this._distances[r];const i=t*this.paddedLength+this.padding;for(;n<i&&r<this._distances.length;)n=this._distances[++r];const a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))}}function vt(t,e){let r=!0;return\"always\"===t||\"never\"!==t&&\"never\"!==e||(r=!1),r}class xt{constructor(t,e,r){const n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(let t=0;t<this.xCellCount*this.yCellCount;t++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0}keysLength(){return this.boxKeys.length+this.circleKeys.length}insert(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)}insertCircle(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)}_insertBoxCell(t,e,r,n,i,a){this.boxCells[i].push(a)}_insertCircleCell(t,e,r,n,i,a){this.circleCells[i].push(a)}_query(t,e,r,n,i,a,o){if(r<0||t>this.width||n<0||e>this.height)return[];const s=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return[{key:null,x1:t,y1:e,x2:r,y2:n}];for(let t=0;t<this.boxKeys.length;t++)s.push({key:this.boxKeys[t],x1:this.bboxes[4*t],y1:this.bboxes[4*t+1],x2:this.bboxes[4*t+2],y2:this.bboxes[4*t+3]});for(let t=0;t<this.circleKeys.length;t++){const e=this.circles[3*t],r=this.circles[3*t+1],n=this.circles[3*t+2];s.push({key:this.circleKeys[t],x1:e-n,y1:r-n,x2:e+n,y2:r+n})}}else{const l={hitTest:i,overlapMode:a,seenUids:{box:{},circle:{}}};this._forEachCell(t,e,r,n,this._queryCell,s,l,o)}return s}query(t,e,r,n){return this._query(t,e,r,n,!1,null)}hitTest(t,e,r,n,i,a){return this._query(t,e,r,n,!0,i,a).length>0}hitTestCircle(t,e,r,n,i){const a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!1;const c=[],u={hitTest:!0,overlapMode:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),c.length>0}_queryCell(t,e,r,n,i,a,o,s){const{seenUids:l,hitTest:c,overlapMode:u}=o,h=this.boxCells[i];if(null!==h){const i=this.bboxes;for(const o of h)if(!l.box[o]){l.box[o]=!0;const h=4*o,f=this.boxKeys[o];if(t<=i[h+2]&&e<=i[h+3]&&r>=i[h+0]&&n>=i[h+1]&&(!s||s(f))&&(!c||!vt(u,f.overlapMode))&&(a.push({key:f,x1:i[h],y1:i[h+1],x2:i[h+2],y2:i[h+3]}),c))return!0}}const f=this.circleCells[i];if(null!==f){const i=this.circles;for(const o of f)if(!l.circle[o]){l.circle[o]=!0;const h=3*o,f=this.circleKeys[o];if(this._circleAndRectCollide(i[h],i[h+1],i[h+2],t,e,r,n)&&(!s||s(f))&&(!c||!vt(u,f.overlapMode))){const t=i[h],e=i[h+1],r=i[h+2];if(a.push({key:f,x1:t-r,y1:e-r,x2:t+r,y2:e+r}),c)return!0}}}return!1}_queryCellCircle(t,e,r,n,i,a,o,s){const{circle:l,seenUids:c,overlapMode:u}=o,h=this.boxCells[i];if(null!==h){const t=this.bboxes;for(const e of h)if(!c.box[e]){c.box[e]=!0;const r=4*e,n=this.boxKeys[e];if(this._circleAndRectCollide(l.x,l.y,l.radius,t[r+0],t[r+1],t[r+2],t[r+3])&&(!s||s(n))&&!vt(u,n.overlapMode))return a.push(!0),!0}}const f=this.circleCells[i];if(null!==f){const t=this.circles;for(const e of f)if(!c.circle[e]){c.circle[e]=!0;const r=3*e,n=this.circleKeys[e];if(this._circlesCollide(t[r],t[r+1],t[r+2],l.x,l.y,l.radius)&&(!s||s(n))&&!vt(u,n.overlapMode))return a.push(!0),!0}}}_forEachCell(t,e,r,n,i,a,o,s){const l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),h=this._convertToYCellCoord(n);for(let f=l;f<=u;f++)for(let l=c;l<=h;l++){const c=this.xCellCount*l+f;if(i.call(this,t,e,r,n,c,a,o,s))return}}_convertToXCellCoord(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))}_convertToYCellCoord(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))}_circlesCollide(t,e,r,n,i,a){const o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s}_circleAndRectCollide(t,e,r,n,i,a,o){const s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;const c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;const h=l-s,f=u-c;return h*h+f*f<=r*r}}function _t(t,r,n,i,a){const o=e.H();return r?(e.K(o,o,[1/a,1/a,1]),n||e.ae(o,o,i.angle)):e.L(o,i.labelPlaneMatrix,t),o}function bt(t,r,n,i,a){if(r){const r=e.af(t);return e.K(r,r,[a,a,1]),n||e.ae(r,r,-i.angle),r}return i.glCoordMatrix}function wt(t,r,n){let i;n?(i=[t.x,t.y,n(t.x,t.y),1],e.ag(i,i,r)):(i=[t.x,t.y,0,1],function(t,e,r){const n=e[0],i=e[1];t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15]}(i,i,r));const a=i[3];return{point:new e.P(i[0]/a,i[1]/a),signedDistanceFromCamera:a,isOccluded:!1}}function Tt(t,e){return.5+t/e*.5}function kt(t,e){return t.x>=-e[0]&&t.x<=e[0]&&t.y>=-e[1]&&t.y<=e[1]}function At(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m){const g=i?t.textSizeData:t.iconSizeData,y=e.ah(g,n.transform.zoom),v=[256/n.width*2+1,256/n.height*2+1],x=i?t.text.dynamicLayoutVertexArray:t.icon.dynamicLayoutVertexArray;x.clear();const _=t.lineVertexArray,b=i?t.text.placedSymbolArray:t.icon.placedSymbolArray,w=n.transform.width/n.transform.height;let T=!1;for(let i=0;i<b.length;i++){const k=b.get(i);if(k.hidden||k.writingMode===e.ai.vertical&&!T){Rt(k.numGlyphs,x);continue}T=!1;const A=wt(new e.P(k.anchorX,k.anchorY),r,m);if(!kt(A.point,v)){Rt(k.numGlyphs,x);continue}const M=A.signedDistanceFromCamera,S=Tt(n.transform.cameraToCenterDistance,M),E=e.aj(g,y,k),C=s?E/S:E*S,L={getElevation:m,labelPlaneMatrix:a,lineVertexArray:_,pitchWithMap:s,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:!1},projection:u,tileAnchorPoint:new e.P(k.anchorX,k.anchorY),unwrappedTileID:h,width:f,height:p,translation:d},I=Et(L,k,C,!1,l,r,o,t.glyphOffsetArray,x,w,c);T=I.useVertical,(I.notEnoughRoom||T||I.needsFlipping&&Et(L,k,C,!0,l,r,o,t.glyphOffsetArray,x,w,c).notEnoughRoom)&&Rt(k.numGlyphs,x)}i?t.text.dynamicLayoutVertexBuffer.updateData(x):t.icon.dynamicLayoutVertexBuffer.updateData(x)}function Mt(t,e,r,n,i,a,o,s){const l=a.glyphStartIndex+a.numGlyphs,c=a.lineStartIndex,u=a.lineStartIndex+a.lineLength,h=e.getoffsetX(a.glyphStartIndex),f=e.getoffsetX(l-1),p=Ot(t*h,r,n,i,a.segment,c,u,s,o);if(!p)return null;const d=Ot(t*f,r,n,i,a.segment,c,u,s,o);return d?s.projectionCache.anyProjectionOccluded?null:{first:p,last:d}:null}function St(t,r,n,i){return t===e.ai.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(t===e.ai.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function Et(t,r,n,i,a,o,s,l,c,u,h){const f=n/24,p=r.lineOffsetX*f,d=r.lineOffsetY*f;let m;if(r.numGlyphs>1){const e=r.glyphStartIndex+r.numGlyphs,n=r.lineStartIndex,o=r.lineStartIndex+r.lineLength,c=Mt(f,l,p,d,i,r,h,t);if(!c)return{notEnoughRoom:!0};const g=wt(c.first.point,s,t.getElevation).point,y=wt(c.last.point,s,t.getElevation).point;if(a&&!i){const t=St(r.writingMode,g,y,u);if(t)return t}m=[c.first];for(let a=r.glyphStartIndex+1;a<e-1;a++)m.push(Ot(f*l.getoffsetX(a),p,d,i,r.segment,n,o,t,h));m.push(c.last)}else{if(a&&!i){const n=wt(t.tileAnchorPoint,o,t.getElevation).point,i=r.lineStartIndex+r.segment+1,a=new e.P(t.lineVertexArray.getx(i),t.lineVertexArray.gety(i)),s=wt(a,o,t.getElevation),l=s.signedDistanceFromCamera>0?s.point:function(t,e,r,n,i,a){return Ct(t,e,r,n,i,a)}(t.tileAnchorPoint,a,n,1,o,t),c=St(r.writingMode,n,l,u);if(c)return c}const n=Ot(f*l.getoffsetX(r.glyphStartIndex),p,d,i,r.segment,r.lineStartIndex,r.lineStartIndex+r.lineLength,t,h);if(!n||t.projectionCache.anyProjectionOccluded)return{notEnoughRoom:!0};m=[n]}for(const t of m)e.ak(c,t.point,t.angle);return{}}function Ct(t,e,r,n,i,a){const o=t.add(t.sub(e)._unit()),s=void 0!==i?wt(o,i,a.getElevation).point:It(o.x,o.y,a).point,l=r.sub(s);return r.add(l._mult(n/l.mag()))}function Lt(t,r,n){const i=r.projectionCache;if(i.projections[t])return i.projections[t];const a=new e.P(r.lineVertexArray.getx(t),r.lineVertexArray.gety(t)),o=It(a.x,a.y,r);if(o.signedDistanceFromCamera>0)return i.projections[t]=o.point,i.anyProjectionOccluded=i.anyProjectionOccluded||o.isOccluded,o.point;const s=t-n.direction,l=0===n.distanceFromAnchor?r.tileAnchorPoint:new e.P(r.lineVertexArray.getx(s),r.lineVertexArray.gety(s)),c=n.absOffsetX-n.distanceFromAnchor+1;return function(t,e,r,n,i){return Ct(t,e,r,n,void 0,i)}(l,a,n.previousVertex,c,r)}function It(t,r,n){const i=t+n.translation[0],a=r+n.translation[1];let o;return!n.pitchWithMap&&n.projection.useSpecialProjectionForSymbols?(o=n.projection.projectTileCoordinates(i,a,n.unwrappedTileID,n.getElevation),o.point.x=(.5*o.point.x+.5)*n.width,o.point.y=(.5*-o.point.y+.5)*n.height):(o=wt(new e.P(i,a),n.labelPlaneMatrix,n.getElevation),o.isOccluded=!1),o}function Pt(t,e,r){return t._unit()._perp()._mult(e*r)}function zt(t,r,n,i,a,o,s,l,c){if(l.projectionCache.offsets[t])return l.projectionCache.offsets[t];const u=n.add(r);if(t+c.direction<i||t+c.direction>=a)return l.projectionCache.offsets[t]=u,u;const h=Lt(t+c.direction,l,c),f=Pt(h.sub(n),s,c.direction),p=n.add(f),d=h.add(f);return l.projectionCache.offsets[t]=e.al(o,u,p,d)||u,l.projectionCache.offsets[t]}function Ot(t,e,r,n,i,a,o,s,l){const c=n?t-e:t+e;let u=c>0?1:-1,h=0;n&&(u*=-1,h=Math.PI),u<0&&(h+=Math.PI);let f,p=u>0?a+i:a+i+1;s.projectionCache.cachedAnchorPoint?f=s.projectionCache.cachedAnchorPoint:(f=It(s.tileAnchorPoint.x,s.tileAnchorPoint.y,s).point,s.projectionCache.cachedAnchorPoint=f);let d,m,g=f,y=f,v=0,x=0;const _=Math.abs(c),b=[];let w;for(;v+x<=_;){if(p+=u,p<a||p>=o)return null;v+=x,y=g,m=d;const t={absOffsetX:_,direction:u,distanceFromAnchor:v,previousVertex:y};if(g=Lt(p,s,t),0===r)b.push(y),w=g.sub(y);else{let e;const n=g.sub(y);e=0===n.mag()?Pt(Lt(p+u,s,t).sub(g),r,u):Pt(n,r,u),m||(m=y.add(e)),d=zt(p,e,g,a,o,m,r,s,t),b.push(m),w=d.sub(m)}x=w.mag()}const T=(_-v)/x,k=w._mult(T)._add(m||y),A=h+Math.atan2(g.y-y.y,g.x-y.x);return b.push(k),{point:k,angle:l?A:0,path:b}}const Dt=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function Rt(t,e){for(let r=0;r<t;r++){const t=e.length;e.resize(t+4),e.float32.set(Dt,3*t)}}const Ft=100;class Bt{constructor(t,e,r=new xt(t.width+200,t.height+200,25),n=new xt(t.width+200,t.height+200,25)){this.transform=t,this.mapProjection=e,this.grid=r,this.ignoredGrid=n,this.pitchFactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+Ft,this.screenBottomBoundary=t.height+Ft,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200,this.perspectiveRatioCutoff=.6}placeCollisionBox(t,e,r,n,i,a,o,s,l,c,u){const h=t.anchorPointX+s[0],f=t.anchorPointY+s[1],p=this.projectAndGetPerspectiveRatio(n,h,f,i,c),d=this._projectCollisionBox(t,r,n,i,a,o,s,p,c,u),[m,g,y,v]=d.box;return this.mapProjection.useSpecialProjectionForSymbols&&(a?d.allPointsOccluded:this.mapProjection.isOccluded(h,f,i))||p.perspectiveRatio<this.perspectiveRatioCutoff||!this.isInsideGrid(m,g,y,v)||\"always\"!==e&&this.grid.hitTest(m,g,y,v,e,l)?{box:[m,g,y,v],placeable:!1,offscreen:!1}:{box:[m,g,y,v],placeable:!0,offscreen:this.isOffscreen(m,g,y,v)}}placeCollisionCircles(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g){const y=[],v=new e.P(r.anchorX,r.anchorY),x=this.getPerspectiveRatio(o,v.x,v.y,s,g),_=(h?a/x:a*x)/e.aq,b=r.lineOffsetX*_,w=r.lineOffsetY*_,T={getElevation:g,labelPlaneMatrix:l,lineVertexArray:n,pitchWithMap:h,projectionCache:{projections:{},offsets:{},cachedAnchorPoint:void 0,anyProjectionOccluded:!1},projection:this.mapProjection,tileAnchorPoint:v,unwrappedTileID:s,width:this.transform.width,height:this.transform.height,translation:m},k=Mt(_,i,b,w,!1,r,!1,T);let A=!1,M=!1,S=!0;if(k){const r=.5*p*x+d,n=new e.P(-100,-100),i=new e.P(this.screenRightBoundary,this.screenBottomBoundary),a=new yt,o=k.first,s=k.last;let l=[];for(let t=o.path.length-1;t>=1;t--)l.push(o.path[t]);for(let t=1;t<s.path.length;t++)l.push(s.path[t]);const h=2.5*r;if(c){const t=this.projectPathToScreenSpace(l,T,c);l=t.some((t=>t.signedDistanceFromCamera<=0))?[]:t.map((t=>t.point))}let m=[];if(l.length>0){const t=l[0].clone(),r=l[0].clone();for(let e=1;e<l.length;e++)t.x=Math.min(t.x,l[e].x),t.y=Math.min(t.y,l[e].y),r.x=Math.max(r.x,l[e].x),r.y=Math.max(r.y,l[e].y);m=t.x>=n.x&&r.x<=i.x&&t.y>=n.y&&r.y<=i.y?[l]:r.x<n.x||t.x>i.x||r.y<n.y||t.y>i.y?[]:e.am([l],n.x,n.y,i.x,i.y)}for(const e of m){a.reset(e,.25*r);let n=0;n=a.length<=.5*r?1:Math.ceil(a.paddedLength/h)+1;for(let e=0;e<n;e++){const i=e/Math.max(n-1,1),o=a.lerp(i),s=o.x+Ft,l=o.y+Ft;y.push(s,l,r,0);const c=s-r,h=l-r,p=s+r,d=l+r;if(S=S&&this.isOffscreen(c,h,p,d),M=M||this.isInsideGrid(c,h,p,d),\"always\"!==t&&this.grid.hitTestCircle(s,l,r,t,f)&&(A=!0,!u))return{circles:[],offscreen:!1,collisionDetected:A}}}}return{circles:!u&&A||!M||x<this.perspectiveRatioCutoff?[]:y,offscreen:S,collisionDetected:A}}projectPathToScreenSpace(t,e,r){return t.map((t=>wt(t,r,e.getElevation)))}queryRenderedSymbols(t){if(0===t.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};const r=[];let n=1/0,i=1/0,a=-1/0,o=-1/0;for(const s of t){const t=new e.P(s.x+Ft,s.y+Ft);n=Math.min(n,t.x),i=Math.min(i,t.y),a=Math.max(a,t.x),o=Math.max(o,t.y),r.push(t)}const s=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o)),l={},c={};for(const t of s){const n=t.key;if(void 0===l[n.bucketInstanceId]&&(l[n.bucketInstanceId]={}),l[n.bucketInstanceId][n.featureIndex])continue;const i=[new e.P(t.x1,t.y1),new e.P(t.x2,t.y1),new e.P(t.x2,t.y2),new e.P(t.x1,t.y2)];e.an(r,i)&&(l[n.bucketInstanceId][n.featureIndex]=!0,void 0===c[n.bucketInstanceId]&&(c[n.bucketInstanceId]=[]),c[n.bucketInstanceId].push(n.featureIndex))}return c}insertCollisionBox(t,e,r,n,i,a){const o={bucketInstanceId:n,featureIndex:i,collisionGroupID:a,overlapMode:e};(r?this.ignoredGrid:this.grid).insert(o,t[0],t[1],t[2],t[3])}insertCollisionCircles(t,e,r,n,i,a){const o=r?this.ignoredGrid:this.grid,s={bucketInstanceId:n,featureIndex:i,collisionGroupID:a,overlapMode:e};for(let e=0;e<t.length;e+=4)o.insertCircle(s,t[e],t[e+1],t[e+2])}projectAndGetPerspectiveRatio(t,r,n,i,a){const o=this.mapProjection.useSpecialProjectionForSymbols?this.mapProjection.projectTileCoordinates(r,n,i,a):wt(new e.P(r,n),t,a);return{point:new e.P((o.point.x+1)/2*this.transform.width+Ft,(1-o.point.y)/2*this.transform.height+Ft),perspectiveRatio:.5+this.transform.cameraToCenterDistance/o.signedDistanceFromCamera*.5,isOccluded:o.isOccluded,signedDistanceFromCamera:o.signedDistanceFromCamera}}getPerspectiveRatio(t,r,n,i,a){const o=this.mapProjection.useSpecialProjectionForSymbols?this.mapProjection.projectTileCoordinates(r,n,i,a):wt(new e.P(r,n),t,a);return.5+this.transform.cameraToCenterDistance/o.signedDistanceFromCamera*.5}isOffscreen(t,e,r,n){return r<Ft||t>=this.screenRightBoundary||n<Ft||e>this.screenBottomBoundary}isInsideGrid(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary}getViewportMatrix(){const t=e.ao([]);return e.J(t,t,[-100,-100,0]),t}_projectCollisionBox(t,r,n,i,a,o,s,l,c,u){const h=r*l.perspectiveRatio;let f=new e.P(1,0),p=new e.P(0,1);const d=new e.P(t.anchorPointX+s[0],t.anchorPointY+s[1]);if(o&&!a){const t=this.projectAndGetPerspectiveRatio(n,d.x+1,d.y,i,c).point.sub(l.point).unit(),r=Math.atan(t.y/t.x)+(t.x<0?Math.PI:0),a=Math.sin(r),o=Math.cos(r);f=new e.P(o,a),p=new e.P(-a,o)}else if(!o&&a){const t=-this.transform.angle,r=Math.sin(t),n=Math.cos(t);f=new e.P(n,r),p=new e.P(-r,n)}let m=l.point,g=h;if(a){m=d;const t=this.transform.zoom-Math.floor(this.transform.zoom);if(g=Math.pow(2,-t),g*=this.mapProjection.getPitchedTextCorrection(this.transform,d,i),!u){const t=l.signedDistanceFromCamera/this.transform.cameraToCenterDistance;g*=e.ad(.5+.5*t,0,4)}}u&&(m=m.add(f.mult(u.x*g)).add(p.mult(u.y*g)));const y=t.x1*g,v=t.x2*g,x=(y+v)/2,_=t.y1*g,b=t.y2*g,w=(_+b)/2,T=[{offsetX:y,offsetY:_},{offsetX:x,offsetY:_},{offsetX:v,offsetY:_},{offsetX:v,offsetY:w},{offsetX:v,offsetY:b},{offsetX:x,offsetY:b},{offsetX:y,offsetY:b},{offsetX:y,offsetY:w}];let k=[];for(const{offsetX:t,offsetY:r}of T)k.push(new e.P(m.x+f.x*t+p.x*r,m.y+f.y*t+p.y*r));let A=!1;if(a){const t=k.map((t=>this.projectAndGetPerspectiveRatio(n,t.x,t.y,i,c)));A=t.some((t=>!t.isOccluded)),k=t.map((t=>t.point))}else A=!0;return{box:e.ap(k),allPointsOccluded:!A}}}function Nt(t,r,n){return r*(e.X/(t.tileSize*Math.pow(2,n-t.tileID.overscaledZ)))}class jt{constructor(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}isHidden(){return 0===this.opacity&&!this.placed}}class Ut{constructor(t,e,r,n,i){this.text=new jt(t?t.text:null,e,r,i),this.icon=new jt(t?t.icon:null,e,n,i)}isHidden(){return this.text.isHidden()&&this.icon.isHidden()}}class Vt{constructor(t,e,r){this.text=t,this.icon=e,this.skipFade=r}}class qt{constructor(){this.invProjMatrix=e.H(),this.viewportMatrix=e.H(),this.circles=[]}}class Ht{constructor(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i}}class Gt{constructor(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}}get(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){const e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:t=>t.collisionGroupID===e}}return this.collisionGroups[t]}}function Zt(t,r,n,i,a){const{horizontalAlign:o,verticalAlign:s}=e.av(t),l=-(o-.5)*r,c=-(s-.5)*n;return new e.P(l+i[0]*a,c+i[1]*a)}class Wt{constructor(t,e,r,n,i,a){this.transform=t.clone(),this.terrain=r,this.collisionIndex=new Bt(this.transform,e),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=n,this.retainedQueryData={},this.collisionGroups=new Gt(i),this.collisionCircleArrays={},this.collisionBoxArrays=new Map,this.prevPlacement=a,a&&(a.prevPlacement=void 0),this.placedOrientations={}}_getTerrainElevationFunc(t){const e=this.terrain;return e?(r,n)=>e.getElevation(t,r,n):null}getBucketParts(t,r,n,i){const a=n.getBucket(r),o=n.latestFeatureIndex;if(!a||!o||r.id!==a.layerIds[0])return;const s=n.collisionBoxArray,l=a.layers[0].layout,c=a.layers[0].paint,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),h=n.tileSize/e.X,f=n.tileID.toUnwrapped(),p=this.transform.calculatePosMatrix(f),d=\"map\"===l.get(\"text-pitch-alignment\"),m=\"map\"===l.get(\"text-rotation-alignment\"),g=Nt(n,1,this.transform.zoom),y=this.collisionIndex.mapProjection.translatePosition(this.transform,n,c.get(\"text-translate\"),c.get(\"text-translate-anchor\")),v=this.collisionIndex.mapProjection.translatePosition(this.transform,n,c.get(\"icon-translate\"),c.get(\"icon-translate-anchor\")),x=_t(p,d,m,this.transform,g);let _=null;if(d){const t=bt(p,d,m,this.transform,g);_=e.L([],this.transform.labelPlaneMatrix,t)}this.retainedQueryData[a.bucketInstanceId]=new Ht(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);const b={bucket:a,layout:l,translationText:y,translationIcon:v,posMatrix:p,unwrappedTileID:f,textLabelPlaneMatrix:x,labelToScreenMatrix:_,scale:u,textPixelRatio:h,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:e.ah(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(const e of a.sortKeyRanges){const{sortKey:r,symbolInstanceStart:n,symbolInstanceEnd:i}=e;t.push({sortKey:r,symbolInstanceStart:n,symbolInstanceEnd:i,parameters:b})}else t.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:b})}attemptAnchorPlacement(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y,v,x){const _=e.ar[t.textAnchor],b=[t.textOffset0,t.textOffset1],w=Zt(_,n,i,b,a),T=this.collisionIndex.placeCollisionBox(r,f,l,c,u,s,o,g,h.predicate,x,w);if((!v||this.collisionIndex.placeCollisionBox(v,f,l,c,u,s,o,y,h.predicate,x,w).placeable)&&T.placeable){let t;if(this.prevPlacement&&this.prevPlacement.variableOffsets[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID]&&this.prevPlacement.placements[p.crossTileID].text&&(t=this.prevPlacement.variableOffsets[p.crossTileID].anchor),0===p.crossTileID)throw new Error(\"symbolInstance.crossTileID can't be 0\");return this.variableOffsets[p.crossTileID]={textOffset:b,width:n,height:i,anchor:_,textBoxScale:a,prevAnchor:t},this.markUsedJustification(d,_,p,m),d.allowVerticalPlacement&&(this.markUsedOrientation(d,m,p),this.placedOrientations[p.crossTileID]=m),{shift:w,placedGlyphBoxes:T}}}placeLayerBucketPart(t,r,n){const{bucket:i,layout:a,translationText:o,translationIcon:s,posMatrix:l,unwrappedTileID:c,textLabelPlaneMatrix:u,labelToScreenMatrix:h,textPixelRatio:f,holdingForFade:p,collisionBoxArray:d,partiallyEvaluatedTextSize:m,collisionGroup:g}=t.parameters,y=a.get(\"text-optional\"),v=a.get(\"icon-optional\"),x=e.as(a,\"text-overlap\",\"text-allow-overlap\"),_=\"always\"===x,b=e.as(a,\"icon-overlap\",\"icon-allow-overlap\"),w=\"always\"===b,T=\"map\"===a.get(\"text-rotation-alignment\"),k=\"map\"===a.get(\"text-pitch-alignment\"),A=\"none\"!==a.get(\"icon-text-fit\"),M=\"viewport-y\"===a.get(\"symbol-z-order\"),S=_&&(w||!i.hasIconData()||v),E=w&&(_||!i.hasTextData()||y);!i.collisionArrays&&d&&i.deserializeCollisionBoxes(d);const C=this.retainedQueryData[i.bucketInstanceId].tileID,L=this._getTerrainElevationFunc(C),I=(t,d,w)=>{var M,C;if(r[t.crossTileID])return;if(p)return void(this.placements[t.crossTileID]=new Vt(!1,!1,!1));let I=!1,P=!1,z=!0,O=null,D={box:null,placeable:!1,offscreen:null},R={box:null,placeable:!1,offscreen:null},F=null,B=null,N=null,j=0,U=0,V=0;d.textFeatureIndex?j=d.textFeatureIndex:t.useRuntimeCollisionCircles&&(j=t.featureIndex),d.verticalTextFeatureIndex&&(U=d.verticalTextFeatureIndex);const q=d.textBox;if(q){const r=r=>{let n=e.ai.horizontal;if(i.allowVerticalPlacement&&!r&&this.prevPlacement){const e=this.prevPlacement.placedOrientations[t.crossTileID];e&&(this.placedOrientations[t.crossTileID]=e,n=e,this.markUsedOrientation(i,n,t))}return n},a=(r,n)=>{if(i.allowVerticalPlacement&&t.numVerticalGlyphVertices>0&&d.verticalTextBox){for(const t of i.writingModes)if(t===e.ai.vertical?(D=n(),R=D):D=r(),D&&D.placeable)break}else D=r()},u=t.textAnchorOffsetStartIndex,h=t.textAnchorOffsetEndIndex;if(h===u){const n=(e,r)=>{const n=this.collisionIndex.placeCollisionBox(e,x,f,l,c,k,T,o,g.predicate,L);return n&&n.placeable&&(this.markUsedOrientation(i,r,t),this.placedOrientations[t.crossTileID]=r),n};a((()=>n(q,e.ai.horizontal)),(()=>{const r=d.verticalTextBox;return i.allowVerticalPlacement&&t.numVerticalGlyphVertices>0&&r?n(r,e.ai.vertical):{box:null,offscreen:null}})),r(D&&D.placeable)}else{let p=e.ar[null===(C=null===(M=this.prevPlacement)||void 0===M?void 0:M.variableOffsets[t.crossTileID])||void 0===C?void 0:C.anchor];const m=(r,a,d)=>{const m=r.x2-r.x1,y=r.y2-r.y1,v=t.textBoxScale,_=A&&\"never\"===b?a:null;let w=null,M=\"never\"===x?1:2,S=\"never\";p&&M++;for(let e=0;e<M;e++){for(let e=u;e<h;e++){const n=i.textAnchorOffsets.get(e);if(p&&n.textAnchor!==p)continue;const a=this.attemptAnchorPlacement(n,r,m,y,v,T,k,f,l,c,g,S,t,i,d,o,s,_,L);if(a&&(w=a.placedGlyphBoxes,w&&w.placeable))return I=!0,O=a.shift,w}p?p=null:S=x}return n&&!w&&(w={box:this.collisionIndex.placeCollisionBox(q,\"always\",f,l,c,k,T,o,g.predicate,L,new e.P(0,0)).box,offscreen:!1,placeable:!1}),w};a((()=>m(q,d.iconBox,e.ai.horizontal)),(()=>{const r=d.verticalTextBox,n=D&&D.placeable;return i.allowVerticalPlacement&&!n&&t.numVerticalGlyphVertices>0&&r?m(r,d.verticalIconBox,e.ai.vertical):{box:null,occluded:!0,offscreen:null}})),D&&(I=D.placeable,z=D.offscreen);const y=r(D&&D.placeable);if(!I&&this.prevPlacement){const e=this.prevPlacement.variableOffsets[t.crossTileID];e&&(this.variableOffsets[t.crossTileID]=e,this.markUsedJustification(i,e.anchor,t,y))}}}if(F=D,I=F&&F.placeable,z=F&&F.offscreen,t.useRuntimeCollisionCircles){const r=i.text.placedSymbolArray.get(t.centerJustifiedTextSymbolIndex),s=e.aj(i.textSizeData,m,r),f=a.get(\"text-padding\"),p=t.collisionCircleDiameter;B=this.collisionIndex.placeCollisionCircles(x,r,i.lineVertexArray,i.glyphOffsetArray,s,l,c,u,h,n,k,g.predicate,p,f,o,L),B.circles.length&&B.collisionDetected&&!n&&e.w(\"Collisions detected, but collision boxes are not shown\"),I=_||B.circles.length>0&&!B.collisionDetected,z=z&&B.offscreen}if(d.iconFeatureIndex&&(V=d.iconFeatureIndex),d.iconBox){const t=t=>this.collisionIndex.placeCollisionBox(t,b,f,l,c,k,T,s,g.predicate,L,A&&O?O:void 0);R&&R.placeable&&d.verticalIconBox?(N=t(d.verticalIconBox),P=N.placeable):(N=t(d.iconBox),P=N.placeable),z=z&&N.offscreen}const H=y||0===t.numHorizontalGlyphVertices&&0===t.numVerticalGlyphVertices,G=v||0===t.numIconVertices;H||G?G?H||(P=P&&I):I=P&&I:P=I=P&&I;const Z=I&&F.placeable,W=P&&N.placeable;if(Z&&(R&&R.placeable&&U?this.collisionIndex.insertCollisionBox(F.box,x,a.get(\"text-ignore-placement\"),i.bucketInstanceId,U,g.ID):this.collisionIndex.insertCollisionBox(F.box,x,a.get(\"text-ignore-placement\"),i.bucketInstanceId,j,g.ID)),W&&this.collisionIndex.insertCollisionBox(N.box,b,a.get(\"icon-ignore-placement\"),i.bucketInstanceId,V,g.ID),B&&I&&this.collisionIndex.insertCollisionCircles(B.circles,x,a.get(\"text-ignore-placement\"),i.bucketInstanceId,j,g.ID),n&&this.storeCollisionData(i.bucketInstanceId,w,d,F,N,B),0===t.crossTileID)throw new Error(\"symbolInstance.crossTileID can't be 0\");if(0===i.bucketInstanceId)throw new Error(\"bucket.bucketInstanceId can't be 0\");this.placements[t.crossTileID]=new Vt(I||S,P||E,z||i.justReloaded),r[t.crossTileID]=!0};if(M){if(0!==t.symbolInstanceStart)throw new Error(\"bucket.bucketInstanceId should be 0\");const e=i.getSortedSymbolIndexes(this.transform.angle);for(let t=e.length-1;t>=0;--t){const r=e[t];I(i.symbolInstances.get(r),i.collisionArrays[r],r)}}else for(let e=t.symbolInstanceStart;e<t.symbolInstanceEnd;e++)I(i.symbolInstances.get(e),i.collisionArrays[e],e);if(n&&i.bucketInstanceId in this.collisionCircleArrays){const t=this.collisionCircleArrays[i.bucketInstanceId];e.at(t.invProjMatrix,l),t.viewportMatrix=this.collisionIndex.getViewportMatrix()}i.justReloaded=!1}storeCollisionData(t,e,r,n,i,a){if(r.textBox||r.iconBox){let a,o;this.collisionBoxArrays.has(t)?a=this.collisionBoxArrays.get(t):(a=new Map,this.collisionBoxArrays.set(t,a)),a.has(e)?o=a.get(e):(o={text:null,icon:null},a.set(e,o)),r.textBox&&(o.text=n.box),r.iconBox&&(o.icon=i.box)}if(a){let e=this.collisionCircleArrays[t];void 0===e&&(e=this.collisionCircleArrays[t]=new qt);for(let t=0;t<a.circles.length;t+=4)e.circles.push(a.circles[t+0]),e.circles.push(a.circles[t+1]),e.circles.push(a.circles[t+2]),e.circles.push(a.collisionDetected?1:0)}}markUsedJustification(t,r,n,i){const a={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};let o;o=i===e.ai.vertical?n.verticalPlacedTextSymbolIndex:a[e.au(r)];const s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];for(const e of s)e>=0&&(t.text.placedSymbolArray.get(e).crossTileID=o>=0&&e!==o?0:n.crossTileID)}markUsedOrientation(t,r,n){const i=r===e.ai.horizontal||r===e.ai.horizontalOnly?r:0,a=r===e.ai.vertical?r:0,o=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];for(const e of o)t.text.placedSymbolArray.get(e).placedOrientation=i;n.verticalPlacedTextSymbolIndex&&(t.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)}commit(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;const e=this.prevPlacement;let r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;const n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(const t in this.placements){const e=this.placements[t],a=i[t];a?(this.opacities[t]=new Ut(a,n,e.text,e.icon),r=r||e.text!==a.text.placed||e.icon!==a.icon.placed):(this.opacities[t]=new Ut(null,n,e.text,e.icon,e.skipFade),r=r||e.text||e.icon)}for(const t in i){const e=i[t];if(!this.opacities[t]){const i=new Ut(e,n,!1,!1);i.isHidden()||(this.opacities[t]=i,r=r||e.text.placed||e.icon.placed)}}for(const t in a)this.variableOffsets[t]||!this.opacities[t]||this.opacities[t].isHidden()||(this.variableOffsets[t]=a[t]);for(const t in o)this.placedOrientations[t]||!this.opacities[t]||this.opacities[t].isHidden()||(this.placedOrientations[t]=o[t]);if(e&&void 0===e.lastPlacementChangeTime)throw new Error(\"Last placement time for previous placement is not defined\");r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)}updateLayerOpacities(t,e){const r={};for(const n of e){const e=n.getBucket(t);e&&n.latestFeatureIndex&&t.id===e.layerIds[0]&&this.updateBucketOpacities(e,n.tileID,r,n.collisionBoxArray)}}updateBucketOpacities(t,r,n,i){t.hasTextData()&&(t.text.opacityVertexArray.clear(),t.text.hasVisibleVertices=!1),t.hasIconData()&&(t.icon.opacityVertexArray.clear(),t.icon.hasVisibleVertices=!1),t.hasIconCollisionBoxData()&&t.iconCollisionBox.collisionVertexArray.clear(),t.hasTextCollisionBoxData()&&t.textCollisionBox.collisionVertexArray.clear();const a=t.layers[0],o=a.layout,s=new Ut(null,0,!1,!1,!0),l=o.get(\"text-allow-overlap\"),c=o.get(\"icon-allow-overlap\"),u=a._unevaluatedLayout.hasValue(\"text-variable-anchor\")||a._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),h=\"map\"===o.get(\"text-rotation-alignment\"),f=\"map\"===o.get(\"text-pitch-alignment\"),p=\"none\"!==o.get(\"icon-text-fit\"),d=new Ut(null,0,l&&(c||!t.hasIconData()||o.get(\"icon-optional\")),c&&(l||!t.hasTextData()||o.get(\"text-optional\")),!0);!t.collisionArrays&&i&&(t.hasIconCollisionBoxData()||t.hasTextCollisionBoxData())&&t.deserializeCollisionBoxes(i);const m=(t,e,r)=>{for(let n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r);t.hasVisibleVertices=t.hasVisibleVertices||r!==ne},g=this.collisionBoxArrays.get(t.bucketInstanceId);for(let r=0;r<t.symbolInstances.length;r++){const i=t.symbolInstances.get(r),{numHorizontalGlyphVertices:a,numVerticalGlyphVertices:o,crossTileID:l}=i,c=n[l];let y=this.opacities[l];c?y=s:y||(y=d,this.opacities[l]=y),n[l]=!0;const v=a>0||o>0,x=i.numIconVertices>0,_=this.placedOrientations[i.crossTileID],b=_===e.ai.vertical,w=_===e.ai.horizontal||_===e.ai.horizontalOnly;if(v){const e=re(y.text),r=b?ne:e;m(t.text,a,r);const n=w?ne:e;m(t.text,o,n);const s=y.text.isHidden();[i.rightJustifiedTextSymbolIndex,i.centerJustifiedTextSymbolIndex,i.leftJustifiedTextSymbolIndex].forEach((e=>{e>=0&&(t.text.placedSymbolArray.get(e).hidden=s||b?1:0)})),i.verticalPlacedTextSymbolIndex>=0&&(t.text.placedSymbolArray.get(i.verticalPlacedTextSymbolIndex).hidden=s||w?1:0);const l=this.variableOffsets[i.crossTileID];l&&this.markUsedJustification(t,l.anchor,i,_);const c=this.placedOrientations[i.crossTileID];c&&(this.markUsedJustification(t,\"left\",i,c),this.markUsedOrientation(t,c,i))}if(x){const e=re(y.icon),r=!(p&&i.verticalPlacedIconSymbolIndex&&b);if(i.placedIconSymbolIndex>=0){const n=r?e:ne;m(t.icon,i.numIconVertices,n),t.icon.placedSymbolArray.get(i.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(i.verticalPlacedIconSymbolIndex>=0){const n=r?ne:e;m(t.icon,i.numVerticalIconVertices,n),t.icon.placedSymbolArray.get(i.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}const T=g&&g.has(r)?g.get(r):{text:null,icon:null};if(t.hasIconCollisionBoxData()||t.hasTextCollisionBoxData()){const n=t.collisionArrays[r];if(n){let r=new e.P(0,0);if(n.textBox||n.verticalTextBox){let e=!0;if(u){const t=this.variableOffsets[l];t?(r=Zt(t.anchor,t.width,t.height,t.textOffset,t.textBoxScale),h&&r._rotate(f?this.transform.angle:-this.transform.angle)):e=!1}if(n.textBox||n.verticalTextBox){let i;n.textBox&&(i=b),n.verticalTextBox&&(i=w),Yt(t.textCollisionBox.collisionVertexArray,y.text.placed,!e||i,T.text,r.x,r.y)}}if(n.iconBox||n.verticalIconBox){const e=Boolean(!w&&n.verticalIconBox);let i;n.iconBox&&(i=e),n.verticalIconBox&&(i=!e),Yt(t.iconCollisionBox.collisionVertexArray,y.icon.placed,i,T.icon,p?r.x:0,p?r.y:0)}}}}if(t.sortFeatures(this.transform.angle),this.retainedQueryData[t.bucketInstanceId]&&(this.retainedQueryData[t.bucketInstanceId].featureSortOrder=t.featureSortOrder),t.hasTextData()&&t.text.opacityVertexBuffer&&t.text.opacityVertexBuffer.updateData(t.text.opacityVertexArray),t.hasIconData()&&t.icon.opacityVertexBuffer&&t.icon.opacityVertexBuffer.updateData(t.icon.opacityVertexArray),t.hasIconCollisionBoxData()&&t.iconCollisionBox.collisionVertexBuffer&&t.iconCollisionBox.collisionVertexBuffer.updateData(t.iconCollisionBox.collisionVertexArray),t.hasTextCollisionBoxData()&&t.textCollisionBox.collisionVertexBuffer&&t.textCollisionBox.collisionVertexBuffer.updateData(t.textCollisionBox.collisionVertexArray),t.text.opacityVertexArray.length!==t.text.layoutVertexArray.length/4)throw new Error(`bucket.text.opacityVertexArray.length (= ${t.text.opacityVertexArray.length}) !== bucket.text.layoutVertexArray.length (= ${t.text.layoutVertexArray.length}) / 4`);if(t.icon.opacityVertexArray.length!==t.icon.layoutVertexArray.length/4)throw new Error(`bucket.icon.opacityVertexArray.length (= ${t.icon.opacityVertexArray.length}) !== bucket.icon.layoutVertexArray.length (= ${t.icon.layoutVertexArray.length}) / 4`);if(t.bucketInstanceId in this.collisionCircleArrays){const e=this.collisionCircleArrays[t.bucketInstanceId];t.placementInvProjMatrix=e.invProjMatrix,t.placementViewportMatrix=e.viewportMatrix,t.collisionCircleArray=e.circles,delete this.collisionCircleArrays[t.bucketInstanceId]}}symbolFadeChange(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment}zoomAdjustment(t){return Math.max(0,(this.transform.zoom-t)/1.5)}hasTransitions(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration}stillRecent(t,e){const r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t}setStale(){this.stale=!0}}function Yt(t,e,r,n,i,a){n&&0!==n.length||(n=[0,0,0,0]);const o=n[0]-Ft,s=n[1]-Ft,l=n[2]-Ft,c=n[3]-Ft;t.emplaceBack(e?1:0,r?1:0,i||0,a||0,o,s),t.emplaceBack(e?1:0,r?1:0,i||0,a||0,l,s),t.emplaceBack(e?1:0,r?1:0,i||0,a||0,l,c),t.emplaceBack(e?1:0,r?1:0,i||0,a||0,o,c)}const Xt=Math.pow(2,25),$t=Math.pow(2,24),Jt=Math.pow(2,17),Kt=Math.pow(2,16),Qt=Math.pow(2,9),te=Math.pow(2,8),ee=Math.pow(2,1);function re(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;const e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Xt+e*$t+r*Jt+e*Kt+r*Qt+e*te+r*ee+e}const ne=0;function ie(){return{isOccluded(t,e,r){return!1},getPitchedTextCorrection(t,e,r){return 1},get useSpecialProjectionForSymbols(){return!1},projectTileCoordinates(t,e,r,n){throw new Error(\"Not implemented.\")},translatePosition(t,e,r,n){return function(t,e,r,n,i=!1){if(!r[0]&&!r[1])return[0,0];const a=i?\"map\"===n?t.angle:0:\"viewport\"===n?-t.angle:0;if(a){const t=Math.sin(a),e=Math.cos(a);r=[r[0]*e-r[1]*t,r[0]*t+r[1]*e]}return[i?r[0]:Nt(e,r[0],t.zoom),i?r[1]:Nt(e,r[1],t.zoom)]}(t,e,r,n)},getCircleRadiusCorrection(t){return 1}}}class ae{constructor(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&!t.layout.get(\"symbol-sort-key\").isConstant(),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]}continuePlacement(t,e,r,n,i){const a=this._bucketParts;for(;this._currentTileIndex<t.length;){const r=t[this._currentTileIndex];if(e.getBucketParts(a,n,r,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort(((t,e)=>t.sortKey-e.sortKey)));this._currentPartIndex<a.length;){const t=a[this._currentPartIndex];if(e.placeLayerBucketPart(t,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1}}class oe{constructor(t,e,r,n,i,a,o,s){this.placement=new Wt(t,ie(),e,a,o,s),this._currentPlacementIndex=r.length-1,this._forceFullPlacement=n,this._showCollisionBoxes=i,this._done=!1}isDone(){return this._done}continuePlacement(t,e,r){const n=a.now(),i=()=>!this._forceFullPlacement&&a.now()-n>2;for(;this._currentPlacementIndex>=0;){const n=e[t[this._currentPlacementIndex]],a=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===n.type&&(!n.minzoom||n.minzoom<=a)&&(!n.maxzoom||n.maxzoom>a)){if(this._inProgressLayer||(this._inProgressLayer=new ae(n)),this._inProgressLayer.continuePlacement(r[n.source],this.placement,this._showCollisionBoxes,n,i))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0}commit(t){return this.placement.commit(t),this.placement}}const se=512/e.X/2;class le{constructor(t,r,n){this.tileID=t,this.bucketInstanceId=n,this._symbolsByKey={};const i=new Map;for(let t=0;t<r.length;t++){const e=r.get(t),n=e.key,a=i.get(n);a?a.push(e):i.set(n,[e])}for(const[t,r]of i){const n={positions:r.map((t=>({x:Math.floor(t.anchorX*se),y:Math.floor(t.anchorY*se)}))),crossTileIDs:r.map((t=>t.crossTileID))};if(n.positions.length>128){const t=new e.aw(n.positions.length,16,Uint16Array);for(const{x:e,y:r}of n.positions)t.add(e,r);t.finish(),delete n.positions,n.index=t}this._symbolsByKey[t]=n}}getScaledCoordinates(t,r){const{x:n,y:i,z:a}=this.tileID.canonical,{x:o,y:s,z:l}=r.canonical,c=l-a,u=se/Math.pow(2,c),h=(o*e.X+t.anchorX)*u,f=(s*e.X+t.anchorY)*u,p=n*e.X*se,d=i*e.X*se;return{x:Math.floor(h-p),y:Math.floor(f-d)}}findMatches(t,e,r){const n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z);for(let i=0;i<t.length;i++){const a=t.get(i);if(a.crossTileID)continue;const o=this._symbolsByKey[a.key];if(!o)continue;const s=this.getScaledCoordinates(a,e);if(o.index){const t=o.index.range(s.x-n,s.y-n,s.x+n,s.y+n).sort();for(const e of t){const t=o.crossTileIDs[e];if(!r[t]){r[t]=!0,a.crossTileID=t;break}}}else if(o.positions)for(let t=0;t<o.positions.length;t++){const e=o.positions[t],i=o.crossTileIDs[t];if(Math.abs(e.x-s.x)<=n&&Math.abs(e.y-s.y)<=n&&!r[i]){r[i]=!0,a.crossTileID=i;break}}}}getCrossTileIDsLists(){return Object.values(this._symbolsByKey).map((({crossTileIDs:t})=>t))}}class ce{constructor(){this.maxCrossTileID=0}generate(){return++this.maxCrossTileID}}class ue{constructor(){this.indexes={},this.usedCrossTileIDs={},this.lng=0}handleWrapJump(t){const e=Math.round((t-this.lng)/360);if(0!==e)for(const t in this.indexes){const r=this.indexes[t],n={};for(const t in r){const i=r[t];i.tileID=i.tileID.unwrapTo(i.tileID.wrap+e),n[i.tileID.key]=i}this.indexes[t]=n}this.lng=t}addBucket(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(let t=0;t<e.symbolInstances.length;t++)e.symbolInstances.get(t).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});const n=this.usedCrossTileIDs[t.overscaledZ];for(const r in this.indexes){const i=this.indexes[r];if(Number(r)>t.overscaledZ)for(const r in i){const a=i[r];a.tileID.isChildOf(t)&&a.findMatches(e.symbolInstances,t,n)}else{const a=i[t.scaledTo(Number(r)).key];a&&a.findMatches(e.symbolInstances,t,n)}}for(let t=0;t<e.symbolInstances.length;t++){const i=e.symbolInstances.get(t);i.crossTileID||(i.crossTileID=r.generate(),n[i.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}removeBucketCrossTileIDs(t,e){for(const r of e.getCrossTileIDsLists())for(const e of r)delete this.usedCrossTileIDs[t][e]}removeStaleBuckets(t){let e=!1;for(const r in this.indexes){const n=this.indexes[r];for(const i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e}}class he{constructor(){this.layerIndexes={},this.crossTileIDs=new ce,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}}addLayer(t,e,r){let n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new ue);let i=!1;const a={};n.handleWrapJump(r);for(const r of e){const e=r.getBucket(t);e&&t.id===e.layerIds[0]&&(e.bucketInstanceId||(e.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(r.tileID,e,this.crossTileIDs)&&(i=!0),a[e.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i}pruneUnusedLayers(t){const e={};t.forEach((t=>{e[t]=!0}));for(const t in this.layerIndexes)e[t]||delete this.layerIndexes[t]}}const fe=(t,r)=>e.t(t,r&&r.filter((t=>\"source.canvas\"!==t.identifier))),pe=e.ax();class de extends e.E{constructor(t,r={}){super(),this._rtlPluginLoaded=()=>{for(const t in this.sourceCaches){const e=this.sourceCaches[t].getSource().type;\"vector\"!==e&&\"geojson\"!==e||this.sourceCaches[t].reload()}},this.map=t,this.dispatcher=new q(V(),t._getMapId()),this.dispatcher.registerMessageHandler(\"GG\",((t,e)=>this.getGlyphs(t,e))),this.dispatcher.registerMessageHandler(\"GI\",((t,e)=>this.getImages(t,e))),this.imageManager=new k,this.imageManager.setEventedParent(this),this.glyphManager=new E(t._requestManager,r.localIdeographFontFamily),this.lineAtlas=new R(256,512),this.crossTileSymbolIndex=new he,this._spritesImagesIds={},this._layers={},this._order=[],this.sourceCaches={},this.zoomHistory=new e.ay,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"SR\",e.az()),ut().on(st,this._rtlPluginLoaded),this.on(\"data\",(t=>{if(\"source\"!==t.dataType||\"metadata\"!==t.sourceDataType)return;const e=this.sourceCaches[t.sourceId];if(!e)return;const r=e.getSource();if(r&&r.vectorLayerIds)for(const t in this._layers){const e=this._layers[t];e.source===r.id&&this._validateLayer(e)}}))}loadURL(t,r={},n){this.fire(new e.k(\"dataloading\",{dataType:\"style\"})),r.validate=\"boolean\"!=typeof r.validate||r.validate;const i=this.map._requestManager.transformRequest(t,\"Style\");this._loadStyleRequest=new AbortController;const a=this._loadStyleRequest;e.h(i,this._loadStyleRequest).then((t=>{this._loadStyleRequest=null,this._load(t.data,r,n)})).catch((t=>{this._loadStyleRequest=null,t&&!a.signal.aborted&&this.fire(new e.j(t))}))}loadJSON(t,r={},n){this.fire(new e.k(\"dataloading\",{dataType:\"style\"})),this._frameRequest=new AbortController,a.frameAsync(this._frameRequest).then((()=>{this._frameRequest=null,r.validate=!1!==r.validate,this._load(t,r,n)})).catch((()=>{}))}loadEmpty(){this.fire(new e.k(\"dataloading\",{dataType:\"style\"})),this._load(pe,{validate:!1})}_load(t,r,n){var i;const a=r.transformStyle?r.transformStyle(n,t):t;if(!r.validate||!fe(this,e.x(a))){this._loaded=!0,this.stylesheet=a;for(const t in a.sources)this.addSource(t,a.sources[t],{validate:!1});a.sprite?this._loadSprite(a.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(a.glyphs),this._createLayers(),this.light=new P(this.stylesheet.light),this.sky=new D(this.stylesheet.sky),this.map.setTerrain(null!==(i=this.stylesheet.terrain)&&void 0!==i?i:null),this.fire(new e.k(\"data\",{dataType:\"style\"})),this.fire(new e.k(\"style.load\"))}}_createLayers(){const t=e.aA(this.stylesheet.layers);this.dispatcher.broadcast(\"SL\",t),this._order=t.map((t=>t.id)),this._layers={},this._serializedLayers=null;for(const r of t){const t=e.aB(r);t.setEventedParent(this,{layer:{id:r.id}}),this._layers[r.id]=t}}_loadSprite(t,r=!1,n=void 0){let i;this.imageManager.setLoaded(!1),this._spriteRequest=new AbortController,b(t,this.map._requestManager,this.map.getPixelRatio(),this._spriteRequest).then((t=>{if(this._spriteRequest=null,t)for(const e in t){this._spritesImagesIds[e]=[];const n=this._spritesImagesIds[e]?this._spritesImagesIds[e].filter((e=>!(e in t))):[];for(const t of n)this.imageManager.removeImage(t),this._changedImages[t]=!0;for(const n in t[e]){const i=\"default\"===e?n:`${e}:${n}`;this._spritesImagesIds[e].push(i),i in this.imageManager.images?this.imageManager.updateImage(i,t[e][n],!1):this.imageManager.addImage(i,t[e][n]),r&&(this._changedImages[i]=!0)}}})).catch((t=>{this._spriteRequest=null,i=t,this.fire(new e.j(i))})).finally((()=>{this.imageManager.setLoaded(!0),this._availableImages=this.imageManager.listImages(),r&&(this._changed=!0),this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"})),n&&n(i)}))}_unloadSprite(){for(const t of Object.values(this._spritesImagesIds).flat())this.imageManager.removeImage(t),this._changedImages[t]=!0;this._spritesImagesIds={},this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"}))}_validateLayer(t){const r=this.sourceCaches[t.source];if(!r)return;const n=t.sourceLayer;if(!n)return;const i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new e.j(new Error(`Source layer \"${n}\" does not exist on source \"${i.id}\" as specified by style layer \"${t.id}\".`)))}loaded(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(const t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()}_serializeByIds(t){const e=this._serializedAllLayers();if(!t||0===t.length)return Object.values(e);const r=[];for(const n of t)e[n]&&r.push(e[n]);return r}_serializedAllLayers(){let t=this._serializedLayers;if(t)return t;t=this._serializedLayers={};const e=Object.keys(this._layers);for(const r of e){const e=this._layers[r];\"custom\"!==e.type&&(t[r]=e.serialize())}return t}hasTransitions(){if(this.light&&this.light.hasTransition())return!0;if(this.sky&&this.sky.hasTransition())return!0;for(const t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(const t in this._layers)if(this._layers[t].hasTransition())return!0;return!1}_checkLoaded(){if(!this._loaded)throw new Error(\"Style is not done loading.\")}update(t){if(!this._loaded)return;const r=this._changed;if(r){const e=Object.keys(this._updatedLayers),r=Object.keys(this._removedLayers);(e.length||r.length)&&this._updateWorkerLayers(e,r);for(const t in this._updatedSources){const e=this._updatedSources[t];if(\"reload\"===e)this._reloadSource(t);else{if(\"clear\"!==e)throw new Error(`Invalid action ${e}`);this._clearSource(t)}}this._updateTilesForChangedImages(),this._updateTilesForChangedGlyphs();for(const e in this._updatedPaintProps)this._layers[e].updateTransitions(t);this.light.updateTransitions(t),this.sky.updateTransitions(t),this._resetUpdates()}const n={};for(const t in this.sourceCaches){const e=this.sourceCaches[t];n[t]=e.used,e.used=!1}for(const e of this._order){const r=this._layers[e];r.recalculate(t,this._availableImages),!r.isHidden(t.zoom)&&r.source&&(this.sourceCaches[r.source].used=!0)}for(const t in n){const r=this.sourceCaches[t];!!n[t]!=!!r.used&&r.fire(new e.k(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:t}))}this.light.recalculate(t),this.sky.recalculate(t),this.z=t.zoom,r&&this.fire(new e.k(\"data\",{dataType:\"style\"}))}_updateTilesForChangedImages(){const t=Object.keys(this._changedImages);if(t.length){for(const e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}}_updateTilesForChangedGlyphs(){if(this._glyphsDidChange){for(const t in this.sourceCaches)this.sourceCaches[t].reloadTilesForDependencies([\"glyphs\"],[\"\"]);this._glyphsDidChange=!1}}_updateWorkerLayers(t,e){this.dispatcher.broadcast(\"UL\",{layers:this._serializeByIds(t),removedIds:e})}_resetUpdates(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={},this._glyphsDidChange=!1}setState(t,r={}){var n;this._checkLoaded();const i=this.serialize();if(t=r.transformStyle?r.transformStyle(i,t):t,(null===(n=r.validate)||void 0===n||n)&&fe(this,e.x(t)))return!1;(t=e.aC(t)).layers=e.aA(t.layers);const a=e.aD(i,t),o=this._getOperationsToPerform(a);if(o.unimplemented.length>0)throw new Error(`Unimplemented: ${o.unimplemented.join(\", \")}.`);if(0===o.operations.length)return!1;for(const t of o.operations)t();return this.stylesheet=t,this._serializedLayers=null,!0}_getOperationsToPerform(t){const e=[],r=[];for(const n of t)switch(n.command){case\"setCenter\":case\"setZoom\":case\"setBearing\":case\"setPitch\":continue;case\"addLayer\":e.push((()=>this.addLayer.apply(this,n.args)));break;case\"removeLayer\":e.push((()=>this.removeLayer.apply(this,n.args)));break;case\"setPaintProperty\":e.push((()=>this.setPaintProperty.apply(this,n.args)));break;case\"setLayoutProperty\":e.push((()=>this.setLayoutProperty.apply(this,n.args)));break;case\"setFilter\":e.push((()=>this.setFilter.apply(this,n.args)));break;case\"addSource\":e.push((()=>this.addSource.apply(this,n.args)));break;case\"removeSource\":e.push((()=>this.removeSource.apply(this,n.args)));break;case\"setLayerZoomRange\":e.push((()=>this.setLayerZoomRange.apply(this,n.args)));break;case\"setLight\":e.push((()=>this.setLight.apply(this,n.args)));break;case\"setGeoJSONSourceData\":e.push((()=>this.setGeoJSONSourceData.apply(this,n.args)));break;case\"setGlyphs\":e.push((()=>this.setGlyphs.apply(this,n.args)));break;case\"setSprite\":e.push((()=>this.setSprite.apply(this,n.args)));break;case\"setSky\":e.push((()=>this.setSky.apply(this,n.args)));break;case\"setTerrain\":e.push((()=>this.map.setTerrain.apply(this,n.args)));break;case\"setTransition\":e.push((()=>{}));break;default:r.push(n.command)}return{operations:e,unimplemented:r}}addImage(t,r){if(this.getImage(t))return this.fire(new e.j(new Error(`An image named \"${t}\" already exists.`)));this.imageManager.addImage(t,r),this._afterImageUpdated(t)}updateImage(t,e){this.imageManager.updateImage(t,e)}getImage(t){return this.imageManager.getImage(t)}removeImage(t){if(!this.getImage(t))return this.fire(new e.j(new Error(`An image named \"${t}\" does not exist.`)));this.imageManager.removeImage(t),this._afterImageUpdated(t)}_afterImageUpdated(t){this._availableImages=this.imageManager.listImages(),this._changedImages[t]=!0,this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"}))}listImages(){return this._checkLoaded(),this.imageManager.listImages()}addSource(t,r,n={}){if(this._checkLoaded(),void 0!==this.sourceCaches[t])throw new Error(`Source \"${t}\" already exists.`);if(!r.type)throw new Error(`The type property must be defined, but only the following properties were given: ${Object.keys(r).join(\", \")}.`);if([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(e.x.source,`sources.${t}`,r,null,n))return;this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);const i=this.sourceCaches[t]=new dt(t,r,this.dispatcher);i.style=this,i.setEventedParent(this,(()=>({isSourceLoaded:i.loaded(),source:i.serialize(),sourceId:t}))),i.onAdd(this.map),this._changed=!0}removeSource(t){if(this._checkLoaded(),void 0===this.sourceCaches[t])throw new Error(\"There is no source with this ID\");for(const r in this._layers)if(this._layers[r].source===t)return this.fire(new e.j(new Error(`Source \"${t}\" cannot be removed while layer \"${r}\" is using it.`)));const r=this.sourceCaches[t];delete this.sourceCaches[t],delete this._updatedSources[t],r.fire(new e.k(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:t})),r.setEventedParent(null),r.onRemove(this.map),this._changed=!0}setGeoJSONSourceData(t,e){if(this._checkLoaded(),void 0===this.sourceCaches[t])throw new Error(`There is no source with this ID=${t}`);const r=this.sourceCaches[t].getSource();if(\"geojson\"!==r.type)throw new Error(`geojsonSource.type is ${r.type}, which is !== 'geojson`);r.setData(e),this._changed=!0}getSource(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()}addLayer(t,r,n={}){this._checkLoaded();const i=t.id;if(this.getLayer(i))return void this.fire(new e.j(new Error(`Layer \"${i}\" already exists on this map.`)));let a;if(\"custom\"===t.type){if(fe(this,e.aE(t)))return;a=e.aB(t)}else{if(\"source\"in t&&\"object\"==typeof t.source&&(this.addSource(i,t.source),t=e.aC(t),t=e.e(t,{source:i})),this._validate(e.x.layer,`layers.${i}`,t,{arrayIndex:-1},n))return;a=e.aB(t),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}})}const o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new e.j(new Error(`Cannot add layer \"${i}\" before non-existing layer \"${r}\".`)));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){const t=this._removedLayers[i];delete this._removedLayers[i],t.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}moveLayer(t,r){if(this._checkLoaded(),this._changed=!0,!this._layers[t])return void this.fire(new e.j(new Error(`The layer '${t}' does not exist in the map's style and cannot be moved.`)));if(t===r)return;const n=this._order.indexOf(t);this._order.splice(n,1);const i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new e.j(new Error(`Cannot move layer \"${t}\" before non-existing layer \"${r}\".`))):(this._order.splice(i,0,t),this._layerOrderChanged=!0)}removeLayer(t){this._checkLoaded();const r=this._layers[t];if(!r)return void this.fire(new e.j(new Error(`Cannot remove non-existing layer \"${t}\".`)));r.setEventedParent(null);const n=this._order.indexOf(t);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[t]=r,delete this._layers[t],this._serializedLayers&&delete this._serializedLayers[t],delete this._updatedLayers[t],delete this._updatedPaintProps[t],r.onRemove&&r.onRemove(this.map)}getLayer(t){return this._layers[t]}getLayersOrder(){return[...this._order]}hasLayer(t){return t in this._layers}setLayerZoomRange(t,r,n){this._checkLoaded();const i=this.getLayer(t);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new e.j(new Error(`Cannot set the zoom range of non-existing layer \"${t}\".`)))}setFilter(t,r,n={}){this._checkLoaded();const i=this.getLayer(t);if(i){if(!e.aF(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(e.x.filter,`layers.${i.id}.filter`,r,null,n)||(i.filter=e.aC(r),this._updateLayer(i)))}else this.fire(new e.j(new Error(`Cannot filter non-existing layer \"${t}\".`)))}getFilter(t){return e.aC(this.getLayer(t).filter)}setLayoutProperty(t,r,n,i={}){this._checkLoaded();const a=this.getLayer(t);a?e.aF(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new e.j(new Error(`Cannot style non-existing layer \"${t}\".`)))}getLayoutProperty(t,r){const n=this.getLayer(t);if(n)return n.getLayoutProperty(r);this.fire(new e.j(new Error(`Cannot get style of non-existing layer \"${t}\".`)))}setPaintProperty(t,r,n,i={}){this._checkLoaded();const a=this.getLayer(t);a?e.aF(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[t]=!0,this._serializedLayers=null):this.fire(new e.j(new Error(`Cannot style non-existing layer \"${t}\".`)))}getPaintProperty(t,e){return this.getLayer(t).getPaintProperty(e)}setFeatureState(t,r){this._checkLoaded();const n=t.source,i=t.sourceLayer,a=this.sourceCaches[n];if(void 0===a)return void this.fire(new e.j(new Error(`The source '${n}' does not exist in the map's style.`)));const o=a.getSource().type;\"geojson\"===o&&i?this.fire(new e.j(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===t.id&&this.fire(new e.j(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,t.id,r)):this.fire(new e.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}removeFeatureState(t,r){this._checkLoaded();const n=t.source,i=this.sourceCaches[n];if(void 0===i)return void this.fire(new e.j(new Error(`The source '${n}' does not exist in the map's style.`)));const a=i.getSource().type,o=\"vector\"===a?t.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof t.id&&\"number\"!=typeof t.id?this.fire(new e.j(new Error(\"A feature id is required to remove its specific state property.\"))):i.removeFeatureState(o,t.id,r):this.fire(new e.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}getFeatureState(t){this._checkLoaded();const r=t.source,n=t.sourceLayer,i=this.sourceCaches[r];if(void 0!==i)return\"vector\"!==i.getSource().type||n?(void 0===t.id&&this.fire(new e.j(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,t.id)):void this.fire(new e.j(new Error(\"The sourceLayer parameter must be provided for vector source types.\")));this.fire(new e.j(new Error(`The source '${r}' does not exist in the map's style.`)))}getTransition(){return e.e({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)}serialize(){if(!this._loaded)return;const t=e.aG(this.sourceCaches,(t=>t.serialize())),r=this._serializeByIds(this._order),n=this.map.getTerrain()||void 0,i=this.stylesheet;return e.aH({version:i.version,name:i.name,metadata:i.metadata,light:i.light,sky:i.sky,center:i.center,zoom:i.zoom,bearing:i.bearing,pitch:i.pitch,sprite:i.sprite,glyphs:i.glyphs,transition:i.transition,sources:t,layers:r,terrain:n},(t=>void 0!==t))}_updateLayer(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._serializedLayers=null,this._changed=!0}_flattenAndSortRenderedFeatures(t){const e=t=>\"fill-extrusion\"===this._layers[t].type,r={},n=[];for(let i=this._order.length-1;i>=0;i--){const a=this._order[i];if(e(a)){r[a]=i;for(const e of t){const t=e[a];if(t)for(const e of t)n.push(e)}}}n.sort(((t,e)=>e.intersectionZ-t.intersectionZ));const i=[];for(let a=this._order.length-1;a>=0;a--){const o=this._order[a];if(e(o))for(let t=n.length-1;t>=0;t--){const e=n[t].feature;if(r[e.layer.id]<a)break;i.push(e),n.pop()}else for(const e of t){const t=e[o];if(t)for(const e of t)i.push(e.feature)}}return i}queryRenderedFeatures(t,r,n){r&&r.filter&&this._validate(e.x.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);const i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new e.j(new Error(\"parameters.layers must be an Array.\"))),[];for(const t of r.layers){const r=this._layers[t];if(!r)return this.fire(new e.j(new Error(`The layer '${t}' does not exist in the map's style and cannot be queried for features.`))),[];i[r.source]=!0}}const a=[];r.availableImages=this._availableImages;const o=this._serializedAllLayers();for(const e in this.sourceCaches)r.layers&&!i[e]||a.push(Z(this.sourceCaches[e],this._layers,o,t,r,n));return this.placement&&a.push(function(t,e,r,n,i,a,o){const s={},l=a.queryRenderedSymbols(n),c=[];for(const t of Object.keys(l).map(Number))c.push(o[t]);c.sort(W);for(const r of c){const n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(const t in n){const e=s[t]=s[t]||[],i=n[t];i.sort(((t,e)=>{const n=r.featureSortOrder;if(n){const r=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-r}return e.featureIndex-t.featureIndex}));for(const t of i)e.push(t)}}for(const e in s)s[e].forEach((n=>{const i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}));return s}(this._layers,o,this.sourceCaches,t,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(a)}querySourceFeatures(t,r){r&&r.filter&&this._validate(e.x.filter,\"querySourceFeatures.filter\",r.filter,null,r);const n=this.sourceCaches[t];return n?function(t,e){const r=t.getRenderableIds().map((e=>t.getTileByID(e))),n=[],i={};for(let t=0;t<r.length;t++){const a=r[t],o=a.tileID.canonical.key;i[o]||(i[o]=!0,a.querySourceFeatures(n,e))}return n}(n,r):[]}getLight(){return this.light.getLight()}setLight(t,r={}){this._checkLoaded();const n=this.light.getLight();let i=!1;for(const r in t)if(!e.aF(t[r],n[r])){i=!0;break}if(!i)return;const o={now:a.now(),transition:e.e({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(t,r),this.light.updateTransitions(o)}getSky(){var t;return null===(t=this.stylesheet)||void 0===t?void 0:t.sky}setSky(t,r={}){const n=this.sky.getSky();let i=!1;t||n&&(i=!0);for(const r in t)if(!e.aF(t[r],n[r])){i=!0;break}if(!i)return;const o={now:a.now(),transition:e.e({duration:300,delay:0},this.stylesheet.transition)};this.stylesheet.sky=t,this.sky.setSky(t,r),this.sky.updateTransitions(o)}_validate(t,r,n,i,a={}){return(!a||!1!==a.validate)&&fe(this,t.call(e.x,e.e({key:r,style:this.serialize(),value:n,styleSpec:e.v},i)))}_remove(t=!0){this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._loadStyleRequest&&(this._loadStyleRequest.abort(),this._loadStyleRequest=null),this._spriteRequest&&(this._spriteRequest.abort(),this._spriteRequest=null),ut().off(st,this._rtlPluginLoaded);for(const t in this._layers)this._layers[t].setEventedParent(null);for(const t in this.sourceCaches){const e=this.sourceCaches[t];e.setEventedParent(null),e.onRemove(this.map)}this.imageManager.setEventedParent(null),this.setEventedParent(null),t&&this.dispatcher.broadcast(\"RM\",void 0),this.dispatcher.remove(t)}_clearSource(t){this.sourceCaches[t].clearTiles()}_reloadSource(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()}_updateSources(t){for(const e in this.sourceCaches)this.sourceCaches[e].update(t,this.map.terrain)}_generateCollisionBoxes(){for(const t in this.sourceCaches)this._reloadSource(t)}_updatePlacement(t,e,r,n,i=!1){let o=!1,s=!1;const l={};for(const e of this._order){const r=this._layers[e];if(\"symbol\"!==r.type)continue;if(!l[r.source]){const t=this.sourceCaches[r.source];l[r.source]=t.getRenderableIds(!0).map((e=>t.getTileByID(e))).sort(((t,e)=>e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)))}const n=this.crossTileSymbolIndex.addLayer(r,l[r.source],t.center.lng);o=o||n}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((i=i||this._layerOrderChanged||0===r)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(a.now(),t.zoom))&&(this.pauseablePlacement=new oe(t,this.map.terrain,this._order,i,e,r,n,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(a.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(const t of this._order){const e=this._layers[t];\"symbol\"===e.type&&this.placement.updateLayerOpacities(e,l[e.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(a.now())}_releaseSymbolFadeTiles(){for(const t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()}getImages(t,r){return e._(this,void 0,void 0,(function*(){const t=yield this.imageManager.getImages(r.icons);this._updateTilesForChangedImages();const e=this.sourceCaches[r.source];return e&&e.setDependencies(r.tileID.key,r.type,r.icons),t}))}getGlyphs(t,r){return e._(this,void 0,void 0,(function*(){const t=yield this.glyphManager.getGlyphs(r.stacks),e=this.sourceCaches[r.source];return e&&e.setDependencies(r.tileID.key,r.type,[\"\"]),t}))}getGlyphsUrl(){return this.stylesheet.glyphs||null}setGlyphs(t,r={}){this._checkLoaded(),t&&this._validate(e.x.glyphs,\"glyphs\",t,null,r)||(this._glyphsDidChange=!0,this.stylesheet.glyphs=t,this.glyphManager.entries={},this.glyphManager.setURL(t))}addSprite(t,r,n={},i){this._checkLoaded();const a=[{id:t,url:r}],o=[...x(this.stylesheet.sprite),...a];this._validate(e.x.sprite,\"sprite\",o,null,n)||(this.stylesheet.sprite=o,this._loadSprite(a,!0,i))}removeSprite(t){this._checkLoaded();const r=x(this.stylesheet.sprite);if(r.find((e=>e.id===t))){if(this._spritesImagesIds[t])for(const e of this._spritesImagesIds[t])this.imageManager.removeImage(e),this._changedImages[e]=!0;r.splice(r.findIndex((e=>e.id===t)),1),this.stylesheet.sprite=r.length>0?r:void 0,delete this._spritesImagesIds[t],this._availableImages=this.imageManager.listImages(),this._changed=!0,this.dispatcher.broadcast(\"SI\",this._availableImages),this.fire(new e.k(\"data\",{dataType:\"style\"}))}else this.fire(new e.j(new Error(`Sprite \"${t}\" doesn't exists on this map.`)))}getSprite(){return x(this.stylesheet.sprite)}setSprite(t,r={},n){this._checkLoaded(),t&&this._validate(e.x.sprite,\"sprite\",t,null,r)||(this.stylesheet.sprite=t,t?this._loadSprite(t,!0,n):(this._unloadSprite(),n&&n(null)))}}var me=e.Y([{name:\"a_pos\",type:\"Int16\",components:2}]);const ge={prelude:ye(\"#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\\n\",\"#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;}\\n#ifdef TERRAIN3D\\nuniform sampler2D u_terrain;uniform float u_terrain_dim;uniform mat4 u_terrain_matrix;uniform vec4 u_terrain_unpack;uniform float u_terrain_exaggeration;uniform highp sampler2D u_depth;\\n#endif\\nconst highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitShifts=vec4(1.)/bitSh;highp float unpack(highp vec4 color) {return dot(color,bitShifts);}highp float depthOpacity(vec3 frag) {\\n#ifdef TERRAIN3D\\nhighp float d=unpack(texture2D(u_depth,frag.xy*0.5+0.5))+0.0001-frag.z;return 1.0-max(0.0,min(1.0,-d*500.0));\\n#else\\nreturn 1.0;\\n#endif\\n}float calculate_visibility(vec4 pos) {\\n#ifdef TERRAIN3D\\nvec3 frag=pos.xyz/pos.w;highp float d=depthOpacity(frag);if (d > 0.95) return 1.0;return (d+depthOpacity(frag+vec3(0.0,0.01,0.0)))/2.0;\\n#else\\nreturn 1.0;\\n#endif\\n}float ele(vec2 pos) {\\n#ifdef TERRAIN3D\\nvec4 rgb=(texture2D(u_terrain,pos)*255.0)*u_terrain_unpack;return rgb.r+rgb.g+rgb.b-u_terrain_unpack.a;\\n#else\\nreturn 0.0;\\n#endif\\n}float get_elevation(vec2 pos) {\\n#ifdef TERRAIN3D\\nvec2 coord=(u_terrain_matrix*vec4(pos,0.0,1.0)).xy*u_terrain_dim+1.0;vec2 f=fract(coord);vec2 c=(floor(coord)+0.5)/(u_terrain_dim+2.0);float d=1.0/(u_terrain_dim+2.0);float tl=ele(c);float tr=ele(c+vec2(d,0.0));float bl=ele(c+vec2(0.0,d));float br=ele(c+vec2(d,d));float elevation=mix(mix(tl,tr,f.x),mix(bl,br,f.x),f.y);return elevation*u_terrain_exaggeration;\\n#else\\nreturn 0.0;\\n#endif\\n}\"),background:ye(\"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);}\"),backgroundPattern:ye(\"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);}\"),circle:ye(\"varying vec3 v_data;varying float v_visibility;\\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=v_visibility*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;varying float v_visibility;\\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);float ele=get_elevation(circle_center);v_visibility=calculate_visibility(u_matrix*vec4(circle_center,ele,1.0));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,ele,1);} else {gl_Position=u_matrix*vec4(circle_center,ele,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);}\"),clippingMask:ye(\"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);}\"),heatmap:ye(\"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;}\"),heatmapTexture:ye(\"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;}\"),collisionBox:ye(\"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_anchor_pos;attribute vec2 a_placed;attribute vec2 a_box_real;uniform mat4 u_matrix;uniform vec2 u_pixel_extrude_scale;varying float v_placed;varying float v_notUsed;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}void main() {gl_Position=projectTileWithElevation(a_anchor_pos,get_elevation(a_anchor_pos));gl_Position.xy=((a_box_real+0.5)*u_pixel_extrude_scale*2.0-1.0)*vec2(1.0,-1.0)*gl_Position.w;if (gl_Position.z/gl_Position.w < 1.1) {gl_Position.z=0.5;}v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),collisionCircle:ye(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),debug:ye(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,get_elevation(a_pos),1);}\"),fill:ye(\"#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);}\"),fillOutline:ye(\"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;}\"),fillOutlinePattern:ye(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),fillPattern:ye(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),fillExtrusion:ye(\"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;\\n#ifdef TERRAIN3D\\nattribute vec2 a_centroid;\\n#endif\\nvarying 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;\\n#ifdef TERRAIN3D\\nfloat height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\\n#else\\nfloat height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\\n#endif\\nbase=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;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;}\"),fillExtrusionPattern:ye(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;\\n#ifdef TERRAIN3D\\nattribute vec2 a_centroid;\\n#endif\\nvarying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;\\n#ifdef TERRAIN3D\\nfloat height_terrain3d_offset=get_elevation(a_centroid);float base_terrain3d_offset=height_terrain3d_offset-(base > 0.0 ? 0.0 : 10.0);\\n#else\\nfloat height_terrain3d_offset=0.0;float base_terrain3d_offset=0.0;\\n#endif\\nbase=max(0.0,base)+base_terrain3d_offset;height=max(0.0,height)+height_terrain3d_offset;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;}\"),hillshadePrepare:ye(\"#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 vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,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;}\"),hillshade:ye(\"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;}\"),line:ye(\"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;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat 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;\\n#endif\\nv_width2=vec2(outset,inset);}\"),lineGradient:ye(\"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 vec2 v_uv;\\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,v_uv);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;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\\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;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);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;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat 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;\\n#endif\\nv_width2=vec2(outset,inset);}\"),linePattern:ye(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat 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;\\n#endif\\nv_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),lineSDF:ye(\"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;\\n#ifdef TERRAIN3D\\nv_gamma_scale=1.0;\\n#else\\nfloat 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;\\n#endif\\nv_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);}\"),raster:ye(\"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;}\"),symbolIcon:ye(\"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}\",\"attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_tex;varying float v_fade_opacity;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);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=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);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;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}gl_Position=finalPos;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;float visibility=calculate_visibility(projectedPoint);v_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));}\"),symbolSDF:ye(\"#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 inner_edge=(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);inner_edge=inner_edge+gamma*gamma_scale;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(inner_edge-gamma_scaled,inner_edge+gamma_scaled,dist);if (u_is_halo) {lowp float halo_edge=(6.0-halo_width/fontScale)/SDF_PX;alpha=min(smoothstep(halo_edge-gamma_scaled,halo_edge+gamma_scaled,dist),1.0-alpha);}gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec2 v_data0;varying vec3 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);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=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);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;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),symbolTextAndIcon:ye(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;uniform bool u_is_along_line;uniform bool u_is_variable_anchor;uniform vec2 u_translation;uniform float u_pitched_scale;varying vec4 v_data0;varying vec4 v_data1;vec4 projectTileWithElevation(vec2 posInTile,float elevation) {return u_matrix*vec4(posInTile,elevation,1.0);}\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;float ele=get_elevation(a_pos);highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec2 translated_a_pos=a_pos+u_translation;vec4 projectedPoint=projectTileWithElevation(translated_a_pos,ele);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=projectTileWithElevation(translated_a_pos+vec2(1,0),ele);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;if (u_is_along_line || u_is_variable_anchor) {projected_pos=vec4(a_projected_pos.xy,ele,1.0);} else if (u_pitch_with_map) {projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy+u_translation,ele,1.0);} else {projected_pos=u_label_plane_matrix*projectTileWithElevation(a_projected_pos.xy+u_translation,ele);}float z=float(u_pitch_with_map)*projected_pos.z/projected_pos.w;float projectionScaling=1.0;vec4 finalPos=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale)*projectionScaling,z,1.0);if(u_pitch_with_map) {finalPos=projectTileWithElevation(finalPos.xy,finalPos.z);}float gamma_scale=finalPos.w;gl_Position=finalPos;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float visibility=calculate_visibility(projectedPoint);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(visibility,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\"),terrain:ye(\"uniform sampler2D u_texture;uniform vec4 u_fog_color;uniform vec4 u_horizon_color;uniform float u_fog_ground_blend;uniform float u_fog_ground_blend_opacity;uniform float u_horizon_fog_blend;varying vec2 v_texture_pos;varying float v_fog_depth;const float gamma=2.2;vec4 gammaToLinear(vec4 color) {return pow(color,vec4(gamma));}vec4 linearToGamma(vec4 color) {return pow(color,vec4(1.0/gamma));}void main() {vec4 surface_color=texture2D(u_texture,v_texture_pos);if (v_fog_depth > u_fog_ground_blend) {vec4 surface_color_linear=gammaToLinear(surface_color);float blend_color=smoothstep(0.0,1.0,max((v_fog_depth-u_horizon_fog_blend)/(1.0-u_horizon_fog_blend),0.0));vec4 fog_horizon_color_linear=mix(gammaToLinear(u_fog_color),gammaToLinear(u_horizon_color),blend_color);float factor_fog=max(v_fog_depth-u_fog_ground_blend,0.0)/(1.0-u_fog_ground_blend);gl_FragColor=linearToGamma(mix(surface_color_linear,fog_horizon_color_linear,pow(factor_fog,2.0)*u_fog_ground_blend_opacity));} else {gl_FragColor=surface_color;}}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform mat4 u_fog_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;varying float v_fog_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);vec4 pos=u_fog_matrix*vec4(a_pos3d.xy,ele,1.0);v_fog_depth=pos.z/pos.w*0.5+0.5;}\"),terrainDepth:ye(\"varying float v_depth;const highp vec4 bitSh=vec4(256.*256.*256.,256.*256.,256.,1.);const highp vec4 bitMsk=vec4(0.,vec3(1./256.0));highp vec4 pack(highp float value) {highp vec4 comp=fract(value*bitSh);comp-=comp.xxyz*bitMsk;return comp;}void main() {gl_FragColor=pack(v_depth);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying float v_depth;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);v_depth=gl_Position.z/gl_Position.w;}\"),terrainCoords:ye(\"precision mediump float;uniform sampler2D u_texture;uniform float u_terrain_coords_id;varying vec2 v_texture_pos;void main() {vec4 rgba=texture2D(u_texture,v_texture_pos);gl_FragColor=vec4(rgba.r,rgba.g,rgba.b,u_terrain_coords_id);}\",\"attribute vec3 a_pos3d;uniform mat4 u_matrix;uniform float u_ele_delta;varying vec2 v_texture_pos;void main() {float ele=get_elevation(a_pos3d.xy);float ele_delta=a_pos3d.z==1.0 ? u_ele_delta : 0.0;v_texture_pos=a_pos3d.xy/8192.0;gl_Position=u_matrix*vec4(a_pos3d.xy,ele-ele_delta,1.0);}\"),sky:ye(\"uniform vec4 u_sky_color;uniform vec4 u_horizon_color;uniform float u_horizon;uniform float u_sky_horizon_blend;void main() {float y=gl_FragCoord.y;if (y > u_horizon) {float blend=y-u_horizon;if (blend < u_sky_horizon_blend) {gl_FragColor=mix(u_sky_color,u_horizon_color,pow(1.0-blend/u_sky_horizon_blend,2.0));} else {gl_FragColor=u_sky_color;}}}\",\"attribute vec2 a_pos;void main() {gl_Position=vec4(a_pos,1.0,1.0);}\")};function ye(t,e){const r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n=e.match(/attribute ([\\w]+) ([\\w]+)/g),i=t.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),a=e.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,((t,e,r,n,i)=>(s[i]=!0,\"define\"===e?`\\n#ifndef HAS_UNIFORM_u_${i}\\nvarying ${r} ${n} ${i};\\n#else\\nuniform ${r} ${n} u_${i};\\n#endif\\n`:`\\n#ifdef HAS_UNIFORM_u_${i}\\n    ${r} ${n} ${i} = u_${i};\\n#endif\\n`))),vertexSource:e=e.replace(r,((t,e,r,n,i)=>{const a=\"float\"===n?\"vec2\":\"vec4\",o=i.match(/color/)?\"color\":a;return s[i]?\"define\"===e?`\\n#ifndef HAS_UNIFORM_u_${i}\\nuniform lowp float u_${i}_t;\\nattribute ${r} ${a} a_${i};\\nvarying ${r} ${n} ${i};\\n#else\\nuniform ${r} ${n} u_${i};\\n#endif\\n`:\"vec4\"===o?`\\n#ifndef HAS_UNIFORM_u_${i}\\n    ${i} = a_${i};\\n#else\\n    ${r} ${n} ${i} = u_${i};\\n#endif\\n`:`\\n#ifndef HAS_UNIFORM_u_${i}\\n    ${i} = unpack_mix_${o}(a_${i}, u_${i}_t);\\n#else\\n    ${r} ${n} ${i} = u_${i};\\n#endif\\n`:\"define\"===e?`\\n#ifndef HAS_UNIFORM_u_${i}\\nuniform lowp float u_${i}_t;\\nattribute ${r} ${a} a_${i};\\n#else\\nuniform ${r} ${n} u_${i};\\n#endif\\n`:\"vec4\"===o?`\\n#ifndef HAS_UNIFORM_u_${i}\\n    ${r} ${n} ${i} = a_${i};\\n#else\\n    ${r} ${n} ${i} = u_${i};\\n#endif\\n`:`\\n#ifndef HAS_UNIFORM_u_${i}\\n    ${r} ${n} ${i} = unpack_mix_${o}(a_${i}, u_${i}_t);\\n#else\\n    ${r} ${n} ${i} = u_${i};\\n#endif\\n`})),staticAttributes:n,staticUniforms:o}}class ve{constructor(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null}bind(t,e,r,n,i,a,o,s,l){this.context=t;let c=this.boundPaintVertexBuffers.length!==n.length;for(let t=0;!c&&t<n.length;t++)this.boundPaintVertexBuffers[t]!==n[t]&&(c=!0);!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||c||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s||this.boundDynamicVertexBuffer3!==l?this.freshBind(e,r,n,i,a,o,s,l):(t.bindVertexArray.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind(),l&&l.bind())}freshBind(t,e,r,n,i,a,o,s){const l=t.numAttributes,c=this.context,u=c.gl;this.vao&&this.destroy(),this.vao=c.createVertexArray(),c.bindVertexArray.set(this.vao),this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o,this.boundDynamicVertexBuffer3=s,e.enableAttributes(u,t);for(const e of r)e.enableAttributes(u,t);a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),s&&s.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(const e of r)e.bind(),e.setVertexAttribPointers(u,t,i);a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),s&&(s.bind(),s.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l}destroy(){this.vao&&(this.context.deleteVertexArray(this.vao),this.vao=null)}}const xe=(t,r,n,i,a)=>({u_matrix:t,u_texture:0,u_ele_delta:r,u_fog_matrix:n,u_fog_color:i?i.properties.get(\"fog-color\"):e.aN.white,u_fog_ground_blend:i?i.properties.get(\"fog-ground-blend\"):1,u_fog_ground_blend_opacity:i?i.calculateFogBlendOpacity(a):0,u_horizon_color:i?i.properties.get(\"horizon-color\"):e.aN.white,u_horizon_fog_blend:i?i.properties.get(\"horizon-fog-blend\"):1});function _e(t){const e=[];for(let r=0;r<t.length;r++){if(null===t[r])continue;const n=t[r].split(\" \");e.push(n.pop())}return e}class be{constructor(t,r,n,i,a,o){const s=t.gl;this.program=s.createProgram();const l=_e(r.staticAttributes),c=n?n.getBinderAttributes():[],u=l.concat(c),h=ge.prelude.staticUniforms?_e(ge.prelude.staticUniforms):[],f=r.staticUniforms?_e(r.staticUniforms):[],p=n?n.getBinderUniforms():[],d=h.concat(f).concat(p),m=[];for(const t of d)m.indexOf(t)<0&&m.push(t);const g=n?n.defines():[];a&&g.push(\"#define OVERDRAW_INSPECTOR;\"),o&&g.push(\"#define TERRAIN3D;\");const y=g.concat(ge.prelude.fragmentSource,r.fragmentSource).join(\"\\n\"),v=g.concat(ge.prelude.vertexSource,r.vertexSource).join(\"\\n\"),x=s.createShader(s.FRAGMENT_SHADER);if(s.isContextLost())return void(this.failedToCreate=!0);if(s.shaderSource(x,y),s.compileShader(x),!s.getShaderParameter(x,s.COMPILE_STATUS))throw new Error(`Could not compile fragment shader: ${s.getShaderInfoLog(x)}`);s.attachShader(this.program,x);const _=s.createShader(s.VERTEX_SHADER);if(s.isContextLost())return void(this.failedToCreate=!0);if(s.shaderSource(_,v),s.compileShader(_),!s.getShaderParameter(_,s.COMPILE_STATUS))throw new Error(`Could not compile vertex shader: ${s.getShaderInfoLog(_)}`);s.attachShader(this.program,_),this.attributes={};const b={};this.numAttributes=u.length;for(let t=0;t<this.numAttributes;t++)u[t]&&(s.bindAttribLocation(this.program,t,u[t]),this.attributes[u[t]]=t);if(s.linkProgram(this.program),!s.getProgramParameter(this.program,s.LINK_STATUS))throw new Error(`Program failed to link: ${s.getProgramInfoLog(this.program)}`);s.deleteShader(_),s.deleteShader(x);for(let t=0;t<m.length;t++){const e=m[t];if(e&&!b[e]){const t=s.getUniformLocation(this.program,e);t&&(b[e]=t)}}this.fixedUniforms=i(t,b),this.terrainUniforms=((t,r)=>({u_depth:new e.aI(t,r.u_depth),u_terrain:new e.aI(t,r.u_terrain),u_terrain_dim:new e.aJ(t,r.u_terrain_dim),u_terrain_matrix:new e.aK(t,r.u_terrain_matrix),u_terrain_unpack:new e.aL(t,r.u_terrain_unpack),u_terrain_exaggeration:new e.aJ(t,r.u_terrain_exaggeration)}))(t,b),this.binderUniforms=n?n.getUniforms(t,b):[]}draw(t,e,r,n,i,a,o,s,l,c,u,h,f,p,d,m,g,y){const v=t.gl;if(this.failedToCreate)return;if(t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),s){t.activeTexture.set(v.TEXTURE2),v.bindTexture(v.TEXTURE_2D,s.depthTexture),t.activeTexture.set(v.TEXTURE3),v.bindTexture(v.TEXTURE_2D,s.texture);for(const t in this.terrainUniforms)this.terrainUniforms[t].set(s[t])}for(const t in this.fixedUniforms)this.fixedUniforms[t].set(o[t]);d&&d.setUniforms(t,this.binderUniforms,f,{zoom:p});let x=0;switch(e){case v.LINES:x=2;break;case v.TRIANGLES:x=3;break;case v.LINE_STRIP:x=1}for(const r of h.get()){const n=r.vaos||(r.vaos={});(n[l]||(n[l]=new ve)).bind(t,this,c,d?d.getPaintVertexBuffers():[],u,r.vertexOffset,m,g,y),v.drawElements(e,r.primitiveLength*x,v.UNSIGNED_SHORT,r.primitiveOffset*x*2)}}}function we(t,e,r){const n=1/Nt(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}const Te=(t,r,n,i)=>{const a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=function(){var t=new e.A(9);return e.A!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t}();\"viewport\"===a.properties.get(\"anchor\")&&function(t,e){var r=Math.sin(e),n=Math.cos(e);t[0]=n,t[1]=r,t[2]=0,t[3]=-r,t[4]=n,t[5]=0,t[6]=0,t[7]=0,t[8]=1}(l,-r.transform.angle),function(t,e,r){var n=e[0],i=e[1],a=e[2];t[0]=n*r[0]+i*r[3]+a*r[6],t[1]=n*r[1]+i*r[4]+a*r[7],t[2]=n*r[2]+i*r[5]+a*r[8]}(s,s,l);const c=a.properties.get(\"color\");return{u_matrix:t,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},ke=(t,r,n,i,a,o,s)=>e.e(Te(t,r,n,i),we(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8}),Ae=t=>({u_matrix:t}),Me=(t,r,n,i)=>e.e(Ae(t),we(n,r,i)),Se=(t,e)=>({u_matrix:t,u_world:e}),Ee=(t,r,n,i,a)=>e.e(Me(t,r,n,i),{u_world:a}),Ce=(t,e,r,n)=>{const i=t.transform;let a,o;if(\"map\"===n.paint.get(\"circle-pitch-alignment\")){const t=Nt(r,1,i.zoom);a=!0,o=[t,t]}else a=!1,o=i.pixelsToGLUnits;return{u_camera_to_center_distance:i.cameraToCenterDistance,u_scale_with_map:+(\"map\"===n.paint.get(\"circle-pitch-scale\")),u_matrix:t.translatePosMatrix(e.posMatrix,r,n.paint.get(\"circle-translate\"),n.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.pixelRatio,u_extrude_scale:o}},Le=(t,e)=>({u_matrix:e,u_pixel_extrude_scale:[1/t.width,1/t.height]}),Ie=(t,e,r)=>({u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}),Pe=(t,e,r=1)=>({u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}),ze=t=>({u_matrix:t}),Oe=(t,e,r,n)=>({u_matrix:t,u_extrude_scale:Nt(e,1,r),u_intensity:n}),De=(t,r,n,i)=>{const a=e.H();e.aQ(a,0,t.width,t.height,0,0,1);const o=t.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}},Re=(t,e,r,n)=>{const i=r.paint.get(\"hillshade-shadow-color\"),a=r.paint.get(\"hillshade-highlight-color\"),o=r.paint.get(\"hillshade-accent-color\");let s=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(s-=t.transform.angle);const l=!t.options.moving;return{u_matrix:n?n.posMatrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),l),u_image:0,u_latrange:Be(0,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},Fe=(t,r)=>{const n=r.stride,i=e.H();return e.aQ(i,0,e.X,-e.X,0,0,1),e.J(i,i,[0,-e.X,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:t.overscaledZ,u_unpack:r.getUnpackVector()}};function Be(t,r){const n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new e.Z(0,i/n).toLngLat().lat,new e.Z(0,(i+1)/n).toLngLat().lat]}const Ne=(t,e,r,n)=>{const i=t.transform;return{u_matrix:He(t,e,r,n),u_ratio:1/Nt(e,1,i.zoom),u_device_pixel_ratio:t.pixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},je=(t,r,n,i,a)=>e.e(Ne(t,r,n,a),{u_image:0,u_image_height:i}),Ue=(t,e,r,n,i)=>{const a=t.transform,o=qe(e,a);return{u_matrix:He(t,e,r,i),u_texsize:e.imageAtlasTexture.size,u_ratio:1/Nt(e,1,a.zoom),u_device_pixel_ratio:t.pixelRatio,u_image:0,u_scale:[o,n.fromScale,n.toScale],u_fade:n.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Ve=(t,r,n,i,a,o)=>{const s=t.transform,l=t.lineAtlas,c=qe(r,s),u=\"round\"===n.layout.get(\"line-cap\"),h=l.getDash(i.from,u),f=l.getDash(i.to,u),p=h.width*a.fromScale,d=f.width*a.toScale;return e.e(Ne(t,r,n,o),{u_patternscale_a:[c/p,-h.height/2],u_patternscale_b:[c/d,-f.height/2],u_sdfgamma:l.width/(256*Math.min(p,d)*t.pixelRatio)/2,u_image:0,u_tex_y_a:h.y,u_tex_y_b:f.y,u_mix:a.t})};function qe(t,e){return 1/Nt(t,1,e.tileZoom)}function He(t,e,r,n){return t.translatePosMatrix(n?n.posMatrix:e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}const Ge=(t,e,r,n,i)=>{return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Ze(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Ze(t){t*=Math.PI/180;const 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]}const We=(t,e,r,n,i,a,o,s,l,c,u,h,f,p)=>{const d=o.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:d.cameraToCenterDistance,u_pitch:d.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:d.width/d.height,u_fade_change:o.options.fadeDuration?o.symbolFadeChange:1,u_matrix:s,u_label_plane_matrix:l,u_coord_matrix:c,u_is_text:+h,u_pitch_with_map:+n,u_is_along_line:i,u_is_variable_anchor:a,u_texsize:f,u_texture:0,u_translation:u,u_pitched_scale:p}},Ye=(t,r,n,i,a,o,s,l,c,u,h,f,p,d,m)=>{const g=s.transform;return e.e(We(t,r,n,i,a,o,s,l,c,u,h,f,p,m),{u_gamma_scale:i?Math.cos(g._pitch)*g.cameraToCenterDistance:1,u_device_pixel_ratio:s.pixelRatio,u_is_halo:+d})},Xe=(t,r,n,i,a,o,s,l,c,u,h,f,p,d)=>e.e(Ye(t,r,n,i,a,o,s,l,c,u,h,!0,f,!0,d),{u_texsize_icon:p,u_texture_icon:1}),$e=(t,e,r)=>({u_matrix:t,u_opacity:e,u_color:r}),Je=(t,r,n,i,a,o)=>e.e(function(t,e,r,n){const i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),{width:o,height:s}=r.imageManager.getPixelSize(),l=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/l,u=c*(n.tileID.canonical.x+n.tileID.wrap*l),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[o,s],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/Nt(n,1,r.transform.tileZoom),u_pixel_coord_upper:[u>>16,h>>16],u_pixel_coord_lower:[65535&u,65535&h]}}(i,o,n,a),{u_matrix:t,u_opacity:r}),Ke={fillExtrusion:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_lightpos:new e.aO(t,r.u_lightpos),u_lightintensity:new e.aJ(t,r.u_lightintensity),u_lightcolor:new e.aO(t,r.u_lightcolor),u_vertical_gradient:new e.aJ(t,r.u_vertical_gradient),u_opacity:new e.aJ(t,r.u_opacity)}),fillExtrusionPattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_lightpos:new e.aO(t,r.u_lightpos),u_lightintensity:new e.aJ(t,r.u_lightintensity),u_lightcolor:new e.aO(t,r.u_lightcolor),u_vertical_gradient:new e.aJ(t,r.u_vertical_gradient),u_height_factor:new e.aJ(t,r.u_height_factor),u_image:new e.aI(t,r.u_image),u_texsize:new e.aP(t,r.u_texsize),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade),u_opacity:new e.aJ(t,r.u_opacity)}),fill:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix)}),fillPattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_image:new e.aI(t,r.u_image),u_texsize:new e.aP(t,r.u_texsize),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade)}),fillOutline:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_world:new e.aP(t,r.u_world)}),fillOutlinePattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_world:new e.aP(t,r.u_world),u_image:new e.aI(t,r.u_image),u_texsize:new e.aP(t,r.u_texsize),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade)}),circle:(t,r)=>({u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_scale_with_map:new e.aI(t,r.u_scale_with_map),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_extrude_scale:new e.aP(t,r.u_extrude_scale),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_matrix:new e.aK(t,r.u_matrix)}),collisionBox:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_pixel_extrude_scale:new e.aP(t,r.u_pixel_extrude_scale)}),collisionCircle:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_inv_matrix:new e.aK(t,r.u_inv_matrix),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_viewport_size:new e.aP(t,r.u_viewport_size)}),debug:(t,r)=>({u_color:new e.aM(t,r.u_color),u_matrix:new e.aK(t,r.u_matrix),u_overlay:new e.aI(t,r.u_overlay),u_overlay_scale:new e.aJ(t,r.u_overlay_scale)}),clippingMask:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix)}),heatmap:(t,r)=>({u_extrude_scale:new e.aJ(t,r.u_extrude_scale),u_intensity:new e.aJ(t,r.u_intensity),u_matrix:new e.aK(t,r.u_matrix)}),heatmapTexture:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_world:new e.aP(t,r.u_world),u_image:new e.aI(t,r.u_image),u_color_ramp:new e.aI(t,r.u_color_ramp),u_opacity:new e.aJ(t,r.u_opacity)}),hillshade:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_image:new e.aI(t,r.u_image),u_latrange:new e.aP(t,r.u_latrange),u_light:new e.aP(t,r.u_light),u_shadow:new e.aM(t,r.u_shadow),u_highlight:new e.aM(t,r.u_highlight),u_accent:new e.aM(t,r.u_accent)}),hillshadePrepare:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_image:new e.aI(t,r.u_image),u_dimension:new e.aP(t,r.u_dimension),u_zoom:new e.aJ(t,r.u_zoom),u_unpack:new e.aL(t,r.u_unpack)}),line:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels)}),lineGradient:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels),u_image:new e.aI(t,r.u_image),u_image_height:new e.aJ(t,r.u_image_height)}),linePattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_texsize:new e.aP(t,r.u_texsize),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_image:new e.aI(t,r.u_image),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels),u_scale:new e.aO(t,r.u_scale),u_fade:new e.aJ(t,r.u_fade)}),lineSDF:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ratio:new e.aJ(t,r.u_ratio),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_units_to_pixels:new e.aP(t,r.u_units_to_pixels),u_patternscale_a:new e.aP(t,r.u_patternscale_a),u_patternscale_b:new e.aP(t,r.u_patternscale_b),u_sdfgamma:new e.aJ(t,r.u_sdfgamma),u_image:new e.aI(t,r.u_image),u_tex_y_a:new e.aJ(t,r.u_tex_y_a),u_tex_y_b:new e.aJ(t,r.u_tex_y_b),u_mix:new e.aJ(t,r.u_mix)}),raster:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_tl_parent:new e.aP(t,r.u_tl_parent),u_scale_parent:new e.aJ(t,r.u_scale_parent),u_buffer_scale:new e.aJ(t,r.u_buffer_scale),u_fade_t:new e.aJ(t,r.u_fade_t),u_opacity:new e.aJ(t,r.u_opacity),u_image0:new e.aI(t,r.u_image0),u_image1:new e.aI(t,r.u_image1),u_brightness_low:new e.aJ(t,r.u_brightness_low),u_brightness_high:new e.aJ(t,r.u_brightness_high),u_saturation_factor:new e.aJ(t,r.u_saturation_factor),u_contrast_factor:new e.aJ(t,r.u_contrast_factor),u_spin_weights:new e.aO(t,r.u_spin_weights)}),symbolIcon:(t,r)=>({u_is_size_zoom_constant:new e.aI(t,r.u_is_size_zoom_constant),u_is_size_feature_constant:new e.aI(t,r.u_is_size_feature_constant),u_size_t:new e.aJ(t,r.u_size_t),u_size:new e.aJ(t,r.u_size),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_pitch:new e.aJ(t,r.u_pitch),u_rotate_symbol:new e.aI(t,r.u_rotate_symbol),u_aspect_ratio:new e.aJ(t,r.u_aspect_ratio),u_fade_change:new e.aJ(t,r.u_fade_change),u_matrix:new e.aK(t,r.u_matrix),u_label_plane_matrix:new e.aK(t,r.u_label_plane_matrix),u_coord_matrix:new e.aK(t,r.u_coord_matrix),u_is_text:new e.aI(t,r.u_is_text),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_is_along_line:new e.aI(t,r.u_is_along_line),u_is_variable_anchor:new e.aI(t,r.u_is_variable_anchor),u_texsize:new e.aP(t,r.u_texsize),u_texture:new e.aI(t,r.u_texture),u_translation:new e.aP(t,r.u_translation),u_pitched_scale:new e.aJ(t,r.u_pitched_scale)}),symbolSDF:(t,r)=>({u_is_size_zoom_constant:new e.aI(t,r.u_is_size_zoom_constant),u_is_size_feature_constant:new e.aI(t,r.u_is_size_feature_constant),u_size_t:new e.aJ(t,r.u_size_t),u_size:new e.aJ(t,r.u_size),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_pitch:new e.aJ(t,r.u_pitch),u_rotate_symbol:new e.aI(t,r.u_rotate_symbol),u_aspect_ratio:new e.aJ(t,r.u_aspect_ratio),u_fade_change:new e.aJ(t,r.u_fade_change),u_matrix:new e.aK(t,r.u_matrix),u_label_plane_matrix:new e.aK(t,r.u_label_plane_matrix),u_coord_matrix:new e.aK(t,r.u_coord_matrix),u_is_text:new e.aI(t,r.u_is_text),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_is_along_line:new e.aI(t,r.u_is_along_line),u_is_variable_anchor:new e.aI(t,r.u_is_variable_anchor),u_texsize:new e.aP(t,r.u_texsize),u_texture:new e.aI(t,r.u_texture),u_gamma_scale:new e.aJ(t,r.u_gamma_scale),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_is_halo:new e.aI(t,r.u_is_halo),u_translation:new e.aP(t,r.u_translation),u_pitched_scale:new e.aJ(t,r.u_pitched_scale)}),symbolTextAndIcon:(t,r)=>({u_is_size_zoom_constant:new e.aI(t,r.u_is_size_zoom_constant),u_is_size_feature_constant:new e.aI(t,r.u_is_size_feature_constant),u_size_t:new e.aJ(t,r.u_size_t),u_size:new e.aJ(t,r.u_size),u_camera_to_center_distance:new e.aJ(t,r.u_camera_to_center_distance),u_pitch:new e.aJ(t,r.u_pitch),u_rotate_symbol:new e.aI(t,r.u_rotate_symbol),u_aspect_ratio:new e.aJ(t,r.u_aspect_ratio),u_fade_change:new e.aJ(t,r.u_fade_change),u_matrix:new e.aK(t,r.u_matrix),u_label_plane_matrix:new e.aK(t,r.u_label_plane_matrix),u_coord_matrix:new e.aK(t,r.u_coord_matrix),u_is_text:new e.aI(t,r.u_is_text),u_pitch_with_map:new e.aI(t,r.u_pitch_with_map),u_is_along_line:new e.aI(t,r.u_is_along_line),u_is_variable_anchor:new e.aI(t,r.u_is_variable_anchor),u_texsize:new e.aP(t,r.u_texsize),u_texsize_icon:new e.aP(t,r.u_texsize_icon),u_texture:new e.aI(t,r.u_texture),u_texture_icon:new e.aI(t,r.u_texture_icon),u_gamma_scale:new e.aJ(t,r.u_gamma_scale),u_device_pixel_ratio:new e.aJ(t,r.u_device_pixel_ratio),u_is_halo:new e.aI(t,r.u_is_halo),u_translation:new e.aP(t,r.u_translation),u_pitched_scale:new e.aJ(t,r.u_pitched_scale)}),background:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_opacity:new e.aJ(t,r.u_opacity),u_color:new e.aM(t,r.u_color)}),backgroundPattern:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_opacity:new e.aJ(t,r.u_opacity),u_image:new e.aI(t,r.u_image),u_pattern_tl_a:new e.aP(t,r.u_pattern_tl_a),u_pattern_br_a:new e.aP(t,r.u_pattern_br_a),u_pattern_tl_b:new e.aP(t,r.u_pattern_tl_b),u_pattern_br_b:new e.aP(t,r.u_pattern_br_b),u_texsize:new e.aP(t,r.u_texsize),u_mix:new e.aJ(t,r.u_mix),u_pattern_size_a:new e.aP(t,r.u_pattern_size_a),u_pattern_size_b:new e.aP(t,r.u_pattern_size_b),u_scale_a:new e.aJ(t,r.u_scale_a),u_scale_b:new e.aJ(t,r.u_scale_b),u_pixel_coord_upper:new e.aP(t,r.u_pixel_coord_upper),u_pixel_coord_lower:new e.aP(t,r.u_pixel_coord_lower),u_tile_units_to_pixels:new e.aJ(t,r.u_tile_units_to_pixels)}),terrain:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_texture:new e.aI(t,r.u_texture),u_ele_delta:new e.aJ(t,r.u_ele_delta),u_fog_matrix:new e.aK(t,r.u_fog_matrix),u_fog_color:new e.aM(t,r.u_fog_color),u_fog_ground_blend:new e.aJ(t,r.u_fog_ground_blend),u_fog_ground_blend_opacity:new e.aJ(t,r.u_fog_ground_blend_opacity),u_horizon_color:new e.aM(t,r.u_horizon_color),u_horizon_fog_blend:new e.aJ(t,r.u_horizon_fog_blend)}),terrainDepth:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_ele_delta:new e.aJ(t,r.u_ele_delta)}),terrainCoords:(t,r)=>({u_matrix:new e.aK(t,r.u_matrix),u_texture:new e.aI(t,r.u_texture),u_terrain_coords_id:new e.aJ(t,r.u_terrain_coords_id),u_ele_delta:new e.aJ(t,r.u_ele_delta)}),sky:(t,r)=>({u_sky_color:new e.aM(t,r.u_sky_color),u_horizon_color:new e.aM(t,r.u_horizon_color),u_horizon:new e.aJ(t,r.u_horizon),u_sky_horizon_blend:new e.aJ(t,r.u_sky_horizon_blend)})};class Qe{constructor(t,e,r){this.context=t;const n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer}bind(){this.context.bindElementBuffer.set(this.buffer)}updateData(t){const e=this.context.gl;if(!this.dynamicDraw)throw new Error(\"Attempted to update data while not in dynamic mode.\");this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)}destroy(){const t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)}}const tr={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"};class er{constructor(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;const i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer}bind(){this.context.bindVertexBuffer.set(this.buffer)}updateData(t){if(t.length!==this.length)throw new Error(`Length of new data is ${t.length}, which doesn't match current length of ${this.length}`);const e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)}enableAttributes(t,e){for(let r=0;r<this.attributes.length;r++){const n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}}setVertexAttribPointers(t,e,r){for(let n=0;n<this.attributes.length;n++){const i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[tr[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}}destroy(){const t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)}}const rr=new WeakMap;function nr(t){var e;if(rr.has(t))return rr.get(t);{const r=null===(e=t.getParameter(t.VERSION))||void 0===e?void 0:e.startsWith(\"WebGL 2.0\");return rr.set(t,r),r}}class ir{constructor(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1}get(){return this.current}set(t){}getDefault(){return this.default}setDefault(){this.set(this.default)}}class ar extends ir{getDefault(){return e.aN.transparent}set(t){const e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)}}class or extends ir{getDefault(){return 1}set(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)}}class sr extends ir{getDefault(){return 0}set(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)}}class lr extends ir{getDefault(){return[!0,!0,!0,!0]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)}}class cr extends ir{getDefault(){return!0}set(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)}}class ur extends ir{getDefault(){return 255}set(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)}}class hr extends ir{getDefault(){return{func:this.gl.ALWAYS,ref:0,mask:255}}set(t){const e=this.current;(t.func!==e.func||t.ref!==e.ref||t.mask!==e.mask||this.dirty)&&(this.gl.stencilFunc(t.func,t.ref,t.mask),this.current=t,this.dirty=!1)}}class fr extends ir{getDefault(){const t=this.gl;return[t.KEEP,t.KEEP,t.KEEP]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||this.dirty)&&(this.gl.stencilOp(t[0],t[1],t[2]),this.current=t,this.dirty=!1)}}class pr extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;t?e.enable(e.STENCIL_TEST):e.disable(e.STENCIL_TEST),this.current=t,this.dirty=!1}}class dr extends ir{getDefault(){return[0,1]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.depthRange(t[0],t[1]),this.current=t,this.dirty=!1)}}class mr extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;t?e.enable(e.DEPTH_TEST):e.disable(e.DEPTH_TEST),this.current=t,this.dirty=!1}}class gr extends ir{getDefault(){return this.gl.LESS}set(t){(t!==this.current||this.dirty)&&(this.gl.depthFunc(t),this.current=t,this.dirty=!1)}}class yr extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;t?e.enable(e.BLEND):e.disable(e.BLEND),this.current=t,this.dirty=!1}}class vr extends ir{getDefault(){const t=this.gl;return[t.ONE,t.ZERO]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.blendFunc(t[0],t[1]),this.current=t,this.dirty=!1)}}class xr extends ir{getDefault(){return e.aN.transparent}set(t){const e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)}}class _r extends ir{getDefault(){return this.gl.FUNC_ADD}set(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=!1)}}class br extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;t?e.enable(e.CULL_FACE):e.disable(e.CULL_FACE),this.current=t,this.dirty=!1}}class wr extends ir{getDefault(){return this.gl.BACK}set(t){(t!==this.current||this.dirty)&&(this.gl.cullFace(t),this.current=t,this.dirty=!1)}}class Tr extends ir{getDefault(){return this.gl.CCW}set(t){(t!==this.current||this.dirty)&&(this.gl.frontFace(t),this.current=t,this.dirty=!1)}}class kr extends ir{getDefault(){return null}set(t){(t!==this.current||this.dirty)&&(this.gl.useProgram(t),this.current=t,this.dirty=!1)}}class Ar extends ir{getDefault(){return this.gl.TEXTURE0}set(t){(t!==this.current||this.dirty)&&(this.gl.activeTexture(t),this.current=t,this.dirty=!1)}}class Mr extends ir{getDefault(){const t=this.gl;return[0,0,t.drawingBufferWidth,t.drawingBufferHeight]}set(t){const e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)}}class Sr extends ir{getDefault(){return null}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}}class Er extends ir{getDefault(){return null}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}}class Cr extends ir{getDefault(){return null}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}}class Lr extends ir{getDefault(){return null}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}}class Ir extends ir{getDefault(){return null}set(t){const e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1}}class Pr extends ir{getDefault(){return null}set(t){var e;if(t===this.current&&!this.dirty)return;const r=this.gl;nr(r)?r.bindVertexArray(t):null===(e=r.getExtension(\"OES_vertex_array_object\"))||void 0===e||e.bindVertexArrayOES(t),this.current=t,this.dirty=!1}}class zr extends ir{getDefault(){return 4}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}}class Or extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}}class Dr extends ir{getDefault(){return!1}set(t){if(t===this.current&&!this.dirty)return;const e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}}class Rr extends ir{constructor(t,e){super(t),this.context=t,this.parent=e}getDefault(){return null}}class Fr extends Rr{setDirty(){this.dirty=!0}set(t){if(t===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);const e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}}class Br extends Rr{set(t){if(t===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);const e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}}class Nr extends Rr{set(t){if(t===this.current&&!this.dirty)return;this.context.bindFramebuffer.set(this.parent);const e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_STENCIL_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}}class jr{constructor(t,e,r,n,i){this.context=t,this.width=e,this.height=r;const a=t.gl,o=this.framebuffer=a.createFramebuffer();if(this.colorAttachment=new Fr(t,o),n)this.depthAttachment=i?new Nr(t,o):new Br(t,o);else if(i)throw new Error(\"Stencil cannot be set without depth\");if(a.checkFramebufferStatus(a.FRAMEBUFFER)!==a.FRAMEBUFFER_COMPLETE)throw new Error(\"Framebuffer is not complete\")}destroy(){const t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){const e=this.depthAttachment.get();e&&t.deleteRenderbuffer(e)}t.deleteFramebuffer(this.framebuffer)}}class Ur{constructor(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r}}Ur.Replace=[1,0],Ur.disabled=new Ur(Ur.Replace,e.aN.transparent,[!1,!1,!1,!1]),Ur.unblended=new Ur(Ur.Replace,e.aN.transparent,[!0,!0,!0,!0]),Ur.alphaBlended=new Ur([1,771],e.aN.transparent,[!0,!0,!0,!0]);class Vr{constructor(t){var e,r;if(this.gl=t,this.clearColor=new ar(this),this.clearDepth=new or(this),this.clearStencil=new sr(this),this.colorMask=new lr(this),this.depthMask=new cr(this),this.stencilMask=new ur(this),this.stencilFunc=new hr(this),this.stencilOp=new fr(this),this.stencilTest=new pr(this),this.depthRange=new dr(this),this.depthTest=new mr(this),this.depthFunc=new gr(this),this.blend=new yr(this),this.blendFunc=new vr(this),this.blendColor=new xr(this),this.blendEquation=new _r(this),this.cullFace=new br(this),this.cullFaceSide=new wr(this),this.frontFace=new Tr(this),this.program=new kr(this),this.activeTexture=new Ar(this),this.viewport=new Mr(this),this.bindFramebuffer=new Sr(this),this.bindRenderbuffer=new Er(this),this.bindTexture=new Cr(this),this.bindVertexBuffer=new Lr(this),this.bindElementBuffer=new Ir(this),this.bindVertexArray=new Pr(this),this.pixelStoreUnpack=new zr(this),this.pixelStoreUnpackPremultiplyAlpha=new Or(this),this.pixelStoreUnpackFlipY=new Dr(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.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE),nr(t)){this.HALF_FLOAT=t.HALF_FLOAT;const n=t.getExtension(\"EXT_color_buffer_half_float\");this.RGBA16F=null!==(e=t.RGBA16F)&&void 0!==e?e:null==n?void 0:n.RGBA16F_EXT,this.RGB16F=null!==(r=t.RGB16F)&&void 0!==r?r:null==n?void 0:n.RGB16F_EXT,t.getExtension(\"EXT_color_buffer_float\")}else{t.getExtension(\"EXT_color_buffer_half_float\"),t.getExtension(\"OES_texture_half_float_linear\");const e=t.getExtension(\"OES_texture_half_float\");this.HALF_FLOAT=null==e?void 0:e.HALF_FLOAT_OES}}setDefault(){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()}setDirty(){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.bindVertexArray.dirty=!0,this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0}createIndexBuffer(t,e){return new Qe(this,t,e)}createVertexBuffer(t,e,r){return new er(this,t,e,r)}createRenderbuffer(t,e,r){const n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i}createFramebuffer(t,e,r,n){return new jr(this,t,e,r,n)}clear({color:t,depth:e,stencil:r}){const n=this.gl;let i=0;t&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(t),this.colorMask.set([!0,!0,!0,!0])),void 0!==e&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(e),this.depthMask.set(!0)),void 0!==r&&(i|=n.STENCIL_BUFFER_BIT,this.clearStencil.set(r),this.stencilMask.set(255)),n.clear(i)}setCullFace(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))}setDepthMode(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)}setStencilMode(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)}setColorMode(t){e.aF(t.blendFunction,Ur.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(t.blendFunction),this.blendColor.set(t.blendColor)),this.colorMask.set(t.mask)}createVertexArray(){var t;return nr(this.gl)?this.gl.createVertexArray():null===(t=this.gl.getExtension(\"OES_vertex_array_object\"))||void 0===t?void 0:t.createVertexArrayOES()}deleteVertexArray(t){var e;return nr(this.gl)?this.gl.deleteVertexArray(t):null===(e=this.gl.getExtension(\"OES_vertex_array_object\"))||void 0===e?void 0:e.deleteVertexArrayOES(t)}unbindVAO(){this.bindVertexArray.set(null)}}class qr{constructor(t,e,r){this.func=t,this.mask=e,this.range=r}}qr.ReadOnly=!1,qr.ReadWrite=!0,qr.disabled=new qr(519,qr.ReadOnly,[0,1]);const Hr=7680;class Gr{constructor(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a}}Gr.disabled=new Gr({func:519,mask:0},0,0,Hr,Hr,Hr);class Zr{constructor(t,e,r){this.enable=t,this.mode=e,this.frontFace=r}}let Wr;function Yr(t,r,n,i,a){const o=t.context,s=o.gl,l=t.useProgram(\"collisionBox\"),c=[];let u=0,h=0;for(let f=0;f<i.length;f++){const p=i[f],d=r.getTile(p).getBucket(n);if(!d)continue;const m=a?d.textCollisionBox:d.iconCollisionBox,g=d.collisionCircleArray;if(g.length>0){const r=e.H();e.aR(r,d.placementInvProjMatrix,t.transform.glCoordMatrix),e.aR(r,r,d.placementViewportMatrix),c.push({circleArray:g,circleOffset:h,transform:p.posMatrix,invTransform:r,coord:p}),u+=g.length/4,h=u}m&&l.draw(o,s.LINES,qr.disabled,Gr.disabled,t.colorModeForRenderPass(),Zr.disabled,Le(t.transform,p.posMatrix),t.style.map.terrain&&t.style.map.terrain.getTerrainData(p),n.id,m.layoutVertexBuffer,m.indexBuffer,m.segments,null,t.transform.zoom,null,null,m.collisionVertexBuffer)}if(!a||!c.length)return;const f=t.useProgram(\"collisionCircle\"),p=new e.aS;p.resize(4*u),p._trim();let d=0;for(const t of c)for(let e=0;e<t.circleArray.length/4;e++){const r=4*e,n=t.circleArray[r+0],i=t.circleArray[r+1],a=t.circleArray[r+2],o=t.circleArray[r+3];p.emplace(d++,n,i,a,o,0),p.emplace(d++,n,i,a,o,1),p.emplace(d++,n,i,a,o,2),p.emplace(d++,n,i,a,o,3)}(!Wr||Wr.length<2*u)&&(Wr=function(t){const r=2*t,n=new e.aU;n.resize(r),n._trim();for(let t=0;t<r;t++){const e=6*t;n.uint16[e+0]=4*t+0,n.uint16[e+1]=4*t+1,n.uint16[e+2]=4*t+2,n.uint16[e+3]=4*t+2,n.uint16[e+4]=4*t+3,n.uint16[e+5]=4*t+0}return n}(u));const m=o.createIndexBuffer(Wr,!0),g=o.createVertexBuffer(p,e.aT.members,!0);for(const r of c){const i=Ie(r.transform,r.invTransform,t.transform);f.draw(o,s.TRIANGLES,qr.disabled,Gr.disabled,t.colorModeForRenderPass(),Zr.disabled,i,t.style.map.terrain&&t.style.map.terrain.getTerrainData(r.coord),n.id,g,m,e.a0.simpleSegment(0,2*r.circleOffset,r.circleArray.length,r.circleArray.length/2),null,t.transform.zoom,null,null,null)}g.destroy(),m.destroy()}Zr.disabled=new Zr(!1,1029,2305),Zr.backCCW=new Zr(!0,1029,2305);const Xr=e.ao(new Float32Array(16));function $r(t,r,n,i,a){if(\"translucent\"!==t.renderPass)return;const o=Gr.disabled,s=t.colorModeForRenderPass();(n._unevaluatedLayout.hasValue(\"text-variable-anchor\")||n._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"))&&function(t,r,n,i,a,o,s,l,c){const u=r.transform,h=ie(),f=\"map\"===a,p=\"map\"===o;for(const a of t){const t=i.getTile(a),o=t.getBucket(n);if(!o||!o.text||!o.text.segments.get().length)continue;const d=o.textSizeData,m=e.ah(d,u.zoom),g=Nt(t,1,r.transform.zoom),y=_t(a.posMatrix,p,f,r.transform,g),v=\"none\"!==n.layout.get(\"icon-text-fit\")&&o.hasIconData();if(m){const e=Math.pow(2,u.zoom-t.tileID.overscaledZ),n=r.style.map.terrain?(t,e)=>r.style.map.terrain.getElevation(a,t,e):null,i=h.translatePosition(u,t,s,l);Qr(o,f,p,c,u,y,a.posMatrix,e,m,v,h,i,a.toUnwrapped(),n)}}}(i,t,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&en(t,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&en(t,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Yr(t,r,n,i,!0),Yr(t,r,n,i,!1))}function Jr(t,r,n,i,a,o){const{horizontalAlign:s,verticalAlign:l}=e.av(t),c=-(s-.5)*r,u=-(l-.5)*n;return new e.P((c/a+i[0])*o,(u/a+i[1])*o)}function Kr(t,r,n,i,a,o){const s=r.tileAnchorPoint.add(new e.P(r.translation[0],r.translation[1]));if(r.pitchWithMap){let t=i.mult(o);return n||(t=t.rotate(-a)),wt(s.add(t),r.labelPlaneMatrix,r.getElevation).point}if(n){const e=It(r.tileAnchorPoint.x+1,r.tileAnchorPoint.y,r).point.sub(t),n=Math.atan(e.y/e.x)+(e.x<0?Math.PI:0);return t.add(i.rotate(n))}return t.add(i)}function Qr(t,r,n,i,a,o,s,l,c,u,h,f,p,d){const m=t.text.placedSymbolArray,g=t.text.dynamicLayoutVertexArray,y=t.icon.dynamicLayoutVertexArray,v={};g.clear();for(let y=0;y<m.length;y++){const x=m.get(y),_=t.allowVerticalPlacement&&!x.placedOrientation,b=x.hidden||!x.crossTileID||_?null:i[x.crossTileID];if(b){const i=new e.P(x.anchorX,x.anchorY),m={getElevation:d,width:a.width,height:a.height,labelPlaneMatrix:o,lineVertexArray:null,pitchWithMap:n,projection:h,projectionCache:null,tileAnchorPoint:i,translation:f,unwrappedTileID:p},y=n?wt(i,s,d):It(i.x,i.y,m),_=Tt(a.cameraToCenterDistance,y.signedDistanceFromCamera);let w=e.aj(t.textSizeData,c,x)*_/e.aq;n&&(w*=t.tilePixelRatio/l);const{width:T,height:k,anchor:A,textOffset:M,textBoxScale:S}=b,E=Jr(A,T,k,M,S,w),C=h.getPitchedTextCorrection(a,i.add(new e.P(f[0],f[1])),p),L=Kr(y.point,m,r,E,a.angle,C),I=t.allowVerticalPlacement&&x.placedOrientation===e.ai.vertical?Math.PI/2:0;for(let t=0;t<x.numGlyphs;t++)e.ak(g,L,I);u&&x.associatedIconIndex>=0&&(v[x.associatedIconIndex]={shiftedAnchor:L,angle:I})}else Rt(x.numGlyphs,g)}if(u){y.clear();const r=t.icon.placedSymbolArray;for(let t=0;t<r.length;t++){const n=r.get(t);if(n.hidden)Rt(n.numGlyphs,y);else{const r=v[t];if(r)for(let t=0;t<n.numGlyphs;t++)e.ak(y,r.shiftedAnchor,r.angle);else Rt(n.numGlyphs,y)}}t.icon.dynamicLayoutVertexBuffer.updateData(y)}t.text.dynamicLayoutVertexBuffer.updateData(g)}function tn(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function en(t,r,n,i,a,o,s,l,c,u,h,f){const p=t.context,d=p.gl,m=t.transform,g=ie(),y=\"map\"===l,v=\"map\"===c,x=\"viewport\"!==l&&\"point\"!==n.layout.get(\"symbol-placement\"),_=y&&!v&&!x,b=!v&&x,w=!n.layout.get(\"symbol-sort-key\").isConstant();let T=!1;const k=t.depthModeForSublayer(0,qr.ReadOnly),A=n._unevaluatedLayout.hasValue(\"text-variable-anchor\")||n._unevaluatedLayout.hasValue(\"text-variable-anchor-offset\"),M=[],S=g.getCircleRadiusCorrection(m);for(const l of i){const i=r.getTile(l),c=i.getBucket(n);if(!c)continue;const h=a?c.text:c.icon;if(!h||!h.segments.get().length||!h.hasVisibleVertices)continue;const f=h.programConfigurations.get(n.id),p=a||c.sdfIcons,k=a?c.textSizeData:c.iconSizeData,E=v||0!==m.pitch,C=t.useProgram(tn(p,a,c),f),L=e.ah(k,m.zoom),I=t.style.map.terrain&&t.style.map.terrain.getTerrainData(l);let P,z,O,D,R=[0,0],F=null;if(a){if(z=i.glyphAtlasTexture,O=d.LINEAR,P=i.glyphAtlasTexture.size,c.iconsInText){R=i.imageAtlasTexture.size,F=i.imageAtlasTexture;const e=\"composite\"===k.kind||\"camera\"===k.kind;D=E||t.options.rotating||t.options.zooming||e?d.LINEAR:d.NEAREST}}else{const e=1!==n.layout.get(\"icon-size\").constantOr(0)||c.iconsNeedLinear;z=i.imageAtlasTexture,O=p||t.options.rotating||t.options.zooming||e||E?d.LINEAR:d.NEAREST,P=i.imageAtlasTexture.size}const B=Nt(i,1,t.transform.zoom),N=b?l.posMatrix:Xr,j=_t(N,v,y,t.transform,B),U=bt(N,v,y,t.transform,B),V=bt(l.posMatrix,v,y,t.transform,B),q=g.translatePosition(t.transform,i,o,s),H=A&&c.hasTextData(),G=\"none\"!==n.layout.get(\"icon-text-fit\")&&H&&c.hasIconData();if(x){const e=t.style.map.terrain?(e,r)=>t.style.map.terrain.getElevation(l,e,r):null,r=\"map\"===n.layout.get(\"text-rotation-alignment\");At(c,l.posMatrix,t,a,j,V,v,u,r,g,l.toUnwrapped(),m.width,m.height,q,e)}const Z=l.posMatrix,W=a&&A||G,Y=x||W?Xr:j,X=U,$=p&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1);let J;J=p?c.iconsInText?Xe(k.kind,L,_,v,x,W,t,Z,Y,X,q,P,R,S):Ye(k.kind,L,_,v,x,W,t,Z,Y,X,q,a,P,!0,S):We(k.kind,L,_,v,x,W,t,Z,Y,X,q,a,P,S);const K={program:C,buffers:h,uniformValues:J,atlasTexture:z,atlasTextureIcon:F,atlasInterpolation:O,atlasInterpolationIcon:D,isSDF:p,hasHalo:$};if(w&&c.canOverlap){T=!0;const t=h.segments.get();for(const r of t)M.push({segments:new e.a0([r]),sortKey:r.sortKey,state:K,terrainData:I})}else M.push({segments:h.segments,sortKey:0,state:K,terrainData:I})}T&&M.sort(((t,e)=>t.sortKey-e.sortKey));for(const e of M){const r=e.state;if(p.activeTexture.set(d.TEXTURE0),r.atlasTexture.bind(r.atlasInterpolation,d.CLAMP_TO_EDGE),r.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),r.atlasTextureIcon&&r.atlasTextureIcon.bind(r.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),r.isSDF){const i=r.uniformValues;r.hasHalo&&(i.u_is_halo=1,rn(r.buffers,e.segments,n,t,r.program,k,h,f,i,e.terrainData)),i.u_is_halo=0}rn(r.buffers,e.segments,n,t,r.program,k,h,f,r.uniformValues,e.terrainData)}}function rn(t,e,r,n,i,a,o,s,l,c){const u=n.context,h=u.gl;i.draw(u,h.TRIANGLES,a,o,s,Zr.disabled,l,c,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function nn(t,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===t.renderPass){const a=t.context,o=a.gl,s=Gr.disabled,l=new Ur([o.ONE,o.ONE],e.aN.transparent,[!0,!0,!0,!0]);(function(t,e,r){const n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);let i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{const a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1,!1),function(t,e,r,n){var i,a;const o=t.gl,s=null!==(i=t.HALF_FLOAT)&&void 0!==i?i:o.UNSIGNED_BYTE,l=null!==(a=t.RGBA16F)&&void 0!==a?a:o.RGBA;o.texImage2D(o.TEXTURE_2D,0,l,e.width/4,e.height/4,0,o.RGBA,s,null),n.colorAttachment.set(r)}(t,e,a,i)}})(a,t,n),a.clear({color:e.aN.transparent});for(let e=0;e<i.length;e++){const c=i[e];if(r.hasRenderableParent(c))continue;const u=r.getTile(c),h=u.getBucket(n);if(!h)continue;const f=h.programConfigurations.get(n.id),p=t.useProgram(\"heatmap\",f),{zoom:d}=t.transform;p.draw(a,o.TRIANGLES,qr.disabled,s,l,Zr.disabled,Oe(c.posMatrix,u,d,n.paint.get(\"heatmap-intensity\")),null,n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,t.transform.zoom,f)}a.viewport.set([0,0,t.width,t.height])}else\"translucent\"===t.renderPass&&(t.context.setColorMode(t.colorModeForRenderPass()),function(t,e){const r=t.context,n=r.gl,i=e.heatmapFbo;if(!i)return;r.activeTexture.set(n.TEXTURE0),n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),r.activeTexture.set(n.TEXTURE1);let a=e.colorRampTexture;a||(a=e.colorRampTexture=new w(r,e.colorRamp,n.RGBA)),a.bind(n.LINEAR,n.CLAMP_TO_EDGE),t.useProgram(\"heatmapTexture\").draw(r,n.TRIANGLES,qr.disabled,Gr.disabled,t.colorModeForRenderPass(),Zr.disabled,De(t,e,0,1),null,e.id,t.viewportBuffer,t.quadTriangleIndexBuffer,t.viewportSegments,e.paint,t.transform.zoom)}(t,n))}function an(t,e,r,n,i){if(!r||!n||!n.imageAtlas)return;const a=n.imageAtlas.patternPositions;let o=a[r.to.toString()],s=a[r.from.toString()];if(!o&&s&&(o=s),!s&&o&&(s=o),!o||!s){const t=i.getPaintProperty(e);o=a[t],s=a[t]}o&&s&&t.setConstantPatternPositions(o,s)}function on(t,e,r,n,i,a,o){const s=t.context.gl,l=\"fill-pattern\",c=r.paint.get(l),u=c&&c.constantOr(1),h=r.getCrossfadeParameters();let f,p,d,m,g;o?(p=u&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",f=s.LINES):(p=u?\"fillPattern\":\"fill\",f=s.TRIANGLES);const y=c.constantOr(null);for(const c of n){const n=e.getTile(c);if(u&&!n.patternsLoaded())continue;const v=n.getBucket(r);if(!v)continue;const x=v.programConfigurations.get(r.id),_=t.useProgram(p,x),b=t.style.map.terrain&&t.style.map.terrain.getTerrainData(c);u&&(t.context.activeTexture.set(s.TEXTURE0),n.imageAtlasTexture.bind(s.LINEAR,s.CLAMP_TO_EDGE),x.updatePaintBuffers(h)),an(x,l,y,n,r);const w=b?c:null,T=w?w.posMatrix:c.posMatrix,k=t.translatePosMatrix(T,n,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){m=v.indexBuffer2,g=v.segments2;const e=[s.drawingBufferWidth,s.drawingBufferHeight];d=\"fillOutlinePattern\"===p&&u?Ee(k,t,h,n,e):Se(k,e)}else m=v.indexBuffer,g=v.segments,d=u?Me(k,t,h,n):Ae(k);_.draw(t.context,f,i,t.stencilModeForClipping(c),a,Zr.disabled,d,b,r.id,v.layoutVertexBuffer,m,g,r.paint,t.transform.zoom,x)}}function sn(t,e,r,n,i,a,o){const s=t.context,l=s.gl,c=\"fill-extrusion-pattern\",u=r.paint.get(c),h=u.constantOr(1),f=r.getCrossfadeParameters(),p=r.paint.get(\"fill-extrusion-opacity\"),d=u.constantOr(null);for(const u of n){const n=e.getTile(u),m=n.getBucket(r);if(!m)continue;const g=t.style.map.terrain&&t.style.map.terrain.getTerrainData(u),y=m.programConfigurations.get(r.id),v=t.useProgram(h?\"fillExtrusionPattern\":\"fillExtrusion\",y);h&&(t.context.activeTexture.set(l.TEXTURE0),n.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f)),an(y,c,d,n,r);const x=t.translatePosMatrix(u.posMatrix,n,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),_=r.paint.get(\"fill-extrusion-vertical-gradient\"),b=h?ke(x,t,_,p,u,f,n):Te(x,t,_,p);v.draw(s,s.gl.TRIANGLES,i,a,o,Zr.backCCW,b,g,r.id,m.layoutVertexBuffer,m.indexBuffer,m.segments,r.paint,t.transform.zoom,y,t.style.map.terrain&&m.centroidVertexBuffer)}}function ln(t,e,r,n,i,a,o){const s=t.context,l=s.gl,c=r.fbo;if(!c)return;const u=t.useProgram(\"hillshade\"),h=t.style.map.terrain&&t.style.map.terrain.getTerrainData(e);s.activeTexture.set(l.TEXTURE0),l.bindTexture(l.TEXTURE_2D,c.colorAttachment.get());const f=h?e:null;u.draw(s,l.TRIANGLES,i,a,o,Zr.disabled,Re(t,r,n,f),h,n.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}function cn(t,e,r,n,i,a){const o=t.context,s=o.gl,l=e.dem;if(l&&l.data){const c=l.dim,u=l.stride,h=l.getPixels();if(o.activeTexture.set(s.TEXTURE1),o.pixelStoreUnpackPremultiplyAlpha.set(!1),e.demTexture=e.demTexture||t.getTileTexture(u),e.demTexture){const t=e.demTexture;t.update(h,{premultiply:!1}),t.bind(s.NEAREST,s.CLAMP_TO_EDGE)}else e.demTexture=new w(o,h,s.RGBA,{premultiply:!1}),e.demTexture.bind(s.NEAREST,s.CLAMP_TO_EDGE);o.activeTexture.set(s.TEXTURE0);let f=e.fbo;if(!f){const t=new w(o,{width:c,height:c,data:null},s.RGBA);t.bind(s.LINEAR,s.CLAMP_TO_EDGE),f=e.fbo=o.createFramebuffer(c,c,!0,!1),f.colorAttachment.set(t.texture)}o.bindFramebuffer.set(f.framebuffer),o.viewport.set([0,0,c,c]),t.useProgram(\"hillshadePrepare\").draw(o,s.TRIANGLES,n,i,a,Zr.disabled,Fe(e.tileID,l),null,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments),e.needsHillshadePrepare=!1}}function un(t,r,n,i,o,s){const l=i.paint.get(\"raster-fade-duration\");if(!s&&l>0){const i=a.now(),s=(i-t.timeAdded)/l,c=r?(i-r.timeAdded)/l:-1,u=n.getSource(),h=o.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),f=!r||Math.abs(r.tileID.overscaledZ-h)>Math.abs(t.tileID.overscaledZ-h),p=f&&t.refreshedUponExpiration?1:e.ad(f?s:1-c,0,1);return t.refreshedUponExpiration&&s>=1&&(t.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}const hn=new e.aN(1,0,0,1),fn=new e.aN(0,1,0,1),pn=new e.aN(0,0,1,1),dn=new e.aN(1,0,1,1),mn=new e.aN(0,1,1,1);function gn(t){const e=t.transform.padding;yn(t,t.transform.height-(e.top||0),3,hn),yn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,pn),vn(t,t.transform.width-(e.right||0),3,dn);const r=t.transform.centerPoint;!function(t,e,r,n){const i=20,a=2;xn(t,e-a/2,r-i/2,a,i,n),xn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,mn)}function yn(t,e,r,n){xn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){xn(t,e-r/2,0,r,t.transform.height,n)}function xn(t,e,r,n,i,a){const o=t.context,s=o.gl;s.enable(s.SCISSOR_TEST),s.scissor(e*t.pixelRatio,r*t.pixelRatio,n*t.pixelRatio,i*t.pixelRatio),o.clear({color:a}),s.disable(s.SCISSOR_TEST)}function _n(t,r,n){const i=t.context,a=i.gl,o=n.posMatrix,s=t.useProgram(\"debug\"),l=qr.disabled,c=Gr.disabled,u=t.colorModeForRenderPass(),h=\"$debug\",f=t.style.map.terrain&&t.style.map.terrain.getTerrainData(n);i.activeTexture.set(a.TEXTURE0);const p=r.getTileByID(n.key).latestRawTileData,d=p&&p.byteLength||0,m=Math.floor(d/1024),g=r.getTile(n).tileSize,y=512/Math.min(g,512)*(n.overscaledZ/t.transform.zoom)*.5;let v=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(v+=` => ${n.overscaledZ}`),function(t,e){t.initDebugOverlayCanvas();const r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(t,`${v} ${m}kB`),s.draw(i,a.TRIANGLES,l,c,Ur.alphaBlended,Zr.disabled,Pe(o,e.aN.transparent,y),null,h,t.debugBuffer,t.quadTriangleIndexBuffer,t.debugSegments),s.draw(i,a.LINE_STRIP,l,c,u,Zr.disabled,Pe(o,e.aN.red),f,h,t.debugBuffer,t.tileBorderIndexBuffer,t.debugSegments)}function bn(t,e,r){const n=t.context,i=n.gl,a=t.colorModeForRenderPass(),o=new qr(i.LEQUAL,qr.ReadWrite,t.depthRangeFor3D),s=t.useProgram(\"terrain\"),l=e.getTerrainMesh();n.bindFramebuffer.set(null),n.viewport.set([0,0,t.width,t.height]);for(const c of r){const r=t.renderToTexture.getTexture(c),u=e.getTerrainData(c.tileID);n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,r.texture);const h=t.transform.calculatePosMatrix(c.tileID.toUnwrapped()),f=e.getMeshFrameDelta(t.transform.zoom),p=t.transform.calculateFogMatrix(c.tileID.toUnwrapped()),d=xe(h,f,p,t.style.sky,t.transform.pitch);s.draw(n,i.TRIANGLES,o,Gr.disabled,a,Zr.backCCW,d,u,\"terrain\",l.vertexBuffer,l.indexBuffer,l.segments)}}class wn{constructor(t,e,r){this.vertexBuffer=t,this.indexBuffer=e,this.segments=r}destroy(){this.vertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.vertexBuffer=null,this.indexBuffer=null,this.segments=null}}class Tn{constructor(t,r){this.context=new Vr(t),this.transform=r,this._tileTextures={},this.terrainFacilitator={dirty:!0,matrix:e.ao(new Float64Array(16)),renderTime:0},this.setup(),this.numSublayers=dt.maxUnderzooming+dt.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new he}resize(t,e,r){if(this.width=Math.floor(t*r),this.height=Math.floor(e*r),this.pixelRatio=r,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(const t of this.style._order)this.style._layers[t].resize()}setup(){const t=this.context,r=new e.aX;r.emplaceBack(0,0),r.emplaceBack(e.X,0),r.emplaceBack(0,e.X),r.emplaceBack(e.X,e.X),this.tileExtentBuffer=t.createVertexBuffer(r,me.members),this.tileExtentSegments=e.a0.simpleSegment(0,0,4,2);const n=new e.aX;n.emplaceBack(0,0),n.emplaceBack(e.X,0),n.emplaceBack(0,e.X),n.emplaceBack(e.X,e.X),this.debugBuffer=t.createVertexBuffer(n,me.members),this.debugSegments=e.a0.simpleSegment(0,0,4,5);const i=new e.$;i.emplaceBack(0,0,0,0),i.emplaceBack(e.X,0,e.X,0),i.emplaceBack(0,e.X,0,e.X),i.emplaceBack(e.X,e.X,e.X,e.X),this.rasterBoundsBuffer=t.createVertexBuffer(i,et.members),this.rasterBoundsSegments=e.a0.simpleSegment(0,0,4,2);const a=new e.aX;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=t.createVertexBuffer(a,me.members),this.viewportSegments=e.a0.simpleSegment(0,0,4,2);const o=new e.aZ;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=t.createIndexBuffer(o);const s=new e.aY;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=t.createIndexBuffer(s);const l=this.context.gl;this.stencilClearMode=new Gr({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)}clearStencil(){const t=this.context,r=t.gl;this.nextStencilID=1,this.currentStencilSource=void 0;const n=e.H();e.aQ(n,0,this.width,this.height,0,0,1),e.K(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(t,r.TRIANGLES,qr.disabled,this.stencilClearMode,Ur.disabled,Zr.disabled,ze(n),null,\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)}_renderTileClippingMasks(t,e){if(this.currentStencilSource===t.source||!t.isTileClipped()||!e||!e.length)return;this.currentStencilSource=t.source;const r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Ur.disabled),r.setDepthMode(qr.disabled);const i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(const t of e){const e=this._tileClippingMaskIDs[t.key]=this.nextStencilID++,a=this.style.map.terrain&&this.style.map.terrain.getTerrainData(t);i.draw(r,n.TRIANGLES,qr.disabled,new Gr({func:n.ALWAYS,mask:0},e,255,n.KEEP,n.KEEP,n.REPLACE),Ur.disabled,Zr.disabled,ze(t.posMatrix),a,\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}stencilModeFor3D(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();const t=this.nextStencilID++,e=this.context.gl;return new Gr({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)}stencilModeForClipping(t){const e=this.context.gl;return new Gr({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)}stencilConfigForOverlap(t){const e=this.context.gl,r=t.sort(((t,e)=>e.overscaledZ-t.overscaledZ)),n=r[r.length-1].overscaledZ,i=r[0].overscaledZ-n+1;if(i>1){this.currentStencilSource=void 0,this.nextStencilID+i>256&&this.clearStencil();const t={};for(let r=0;r<i;r++)t[r+n]=new Gr({func:e.GEQUAL,mask:255},r+this.nextStencilID,255,e.KEEP,e.KEEP,e.REPLACE);return this.nextStencilID+=i,[t,r]}return[{[n]:Gr.disabled},r]}colorModeForRenderPass(){const t=this.context.gl;if(this._showOverdrawInspector){const r=1/8;return new Ur([t.CONSTANT_COLOR,t.ONE],new e.aN(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Ur.unblended:Ur.alphaBlended}depthModeForSublayer(t,e,r){if(!this.opaquePassEnabledForLayer())return qr.disabled;const n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new qr(r||this.context.gl.LEQUAL,e,[n,n])}opaquePassEnabledForLayer(){return this.currentLayer<this.opaquePassCutoff}render(t,r){var n;this.style=t,this.options=r,this.lineAtlas=t.lineAtlas,this.imageManager=t.imageManager,this.glyphManager=t.glyphManager,this.symbolFadeChange=t.placement.symbolFadeChange(a.now()),this.imageManager.beginFrame();const i=this.style._order,o=this.style.sourceCaches,s={},l={},c={};for(const t in o){const e=o[t];e.used&&e.prepare(this.context),s[t]=e.getVisibleCoordinates(),l[t]=s[t].slice().reverse(),c[t]=e.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(let t=0;t<i.length;t++){const e=i[t];if(this.style._layers[e].is3D()){this.opaquePassCutoff=t;break}}this.maybeDrawDepthAndCoords(!1),this.renderToTexture&&(this.renderToTexture.prepareForRender(this.style,this.transform.zoom),this.opaquePassCutoff=0),this.renderPass=\"offscreen\";for(const t of i){const e=this.style._layers[t];if(!e.hasOffscreenPass()||e.isHidden(this.transform.zoom))continue;const r=l[e.source];(\"custom\"===e.type||r.length)&&this.renderLayer(this,o[e.source],e,r)}if(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?e.aN.black:e.aN.transparent,depth:1}),this.clearStencil(),(null===(n=this.style.stylesheet)||void 0===n?void 0:n.sky)&&function(t,r){const n=t.context,i=n.gl,a=((t,e,r)=>({u_sky_color:t.properties.get(\"sky-color\"),u_horizon_color:t.properties.get(\"horizon-color\"),u_horizon:(e.height/2+e.getHorizon())*r,u_sky_horizon_blend:t.properties.get(\"sky-horizon-blend\")*e.height/2*r}))(r,t.style.map.transform,t.pixelRatio),o=new qr(i.LEQUAL,qr.ReadWrite,[0,1]),s=Gr.disabled,l=t.colorModeForRenderPass(),c=t.useProgram(\"sky\");if(!r.mesh){const t=new e.aX;t.emplaceBack(-1,-1),t.emplaceBack(1,-1),t.emplaceBack(1,1),t.emplaceBack(-1,1);const i=new e.aY;i.emplaceBack(0,1,2),i.emplaceBack(0,2,3),r.mesh=new wn(n.createVertexBuffer(t,me.members),n.createIndexBuffer(i),e.a0.simpleSegment(0,0,t.length,i.length))}c.draw(n,i.TRIANGLES,o,s,l,Zr.disabled,a,void 0,\"sky\",r.mesh.vertexBuffer,r.mesh.indexBuffer,r.mesh.segments)}(this,this.style.sky),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(t._order.length+2)*this.numSublayers*this.depthEpsilon],!this.renderToTexture)for(this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){const t=this.style._layers[i[this.currentLayer]],e=o[t.source],r=s[t.source];this._renderTileClippingMasks(t,r),this.renderLayer(this,e,t,r)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){const t=this.style._layers[i[this.currentLayer]],e=o[t.source];if(this.renderToTexture&&this.renderToTexture.renderLayer(t))continue;const r=(\"symbol\"===t.type?c:l)[t.source];this._renderTileClippingMasks(t,s[t.source]),this.renderLayer(this,e,t,r)}if(this.options.showTileBoundaries){const t=function(t,e){let r=null;const n=Object.values(t._layers).flatMap((r=>r.source&&!r.isHidden(e)?[t.sourceCaches[r.source]]:[])),i=n.filter((t=>\"vector\"===t.getSource().type)),a=n.filter((t=>\"vector\"!==t.getSource().type)),o=t=>{(!r||r.getSource().maxzoom<t.getSource().maxzoom)&&(r=t)};return i.forEach((t=>o(t))),r||a.forEach((t=>o(t))),r}(this.style,this.transform.zoom);t&&function(t,e,r){for(let n=0;n<r.length;n++)_n(t,e,r[n])}(this,t,t.getVisibleCoordinates())}this.options.showPadding&&gn(this),this.context.setDefault()}maybeDrawDepthAndCoords(t){if(!this.style||!this.style.map||!this.style.map.terrain)return;const r=this.terrainFacilitator.matrix,n=this.transform.modelViewProjectionMatrix;let i=this.terrainFacilitator.dirty;i||(i=t?!e.a_(r,n):!e.a$(r,n)),i||(i=this.style.map.terrain.sourceCache.tilesAfterTime(this.terrainFacilitator.renderTime).length>0),i&&(e.b0(r,n),this.terrainFacilitator.renderTime=Date.now(),this.terrainFacilitator.dirty=!1,function(t,r){const n=t.context,i=n.gl,a=Ur.unblended,o=new qr(i.LEQUAL,qr.ReadWrite,[0,1]),s=r.getTerrainMesh(),l=r.sourceCache.getRenderableTiles(),c=t.useProgram(\"terrainDepth\");n.bindFramebuffer.set(r.getFramebuffer(\"depth\").framebuffer),n.viewport.set([0,0,t.width/devicePixelRatio,t.height/devicePixelRatio]),n.clear({color:e.aN.transparent,depth:1});for(const e of l){const l=r.getTerrainData(e.tileID),u={u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped()),u_ele_delta:r.getMeshFrameDelta(t.transform.zoom)};c.draw(n,i.TRIANGLES,o,Gr.disabled,a,Zr.backCCW,u,l,\"terrain\",s.vertexBuffer,s.indexBuffer,s.segments)}n.bindFramebuffer.set(null),n.viewport.set([0,0,t.width,t.height])}(this,this.style.map.terrain),function(t,r){const n=t.context,i=n.gl,a=Ur.unblended,o=new qr(i.LEQUAL,qr.ReadWrite,[0,1]),s=r.getTerrainMesh(),l=r.getCoordsTexture(),c=r.sourceCache.getRenderableTiles(),u=t.useProgram(\"terrainCoords\");n.bindFramebuffer.set(r.getFramebuffer(\"coords\").framebuffer),n.viewport.set([0,0,t.width/devicePixelRatio,t.height/devicePixelRatio]),n.clear({color:e.aN.transparent,depth:1}),r.coordsIndex=[];for(const e of c){const c=r.getTerrainData(e.tileID);n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,l.texture);const h={u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped()),u_terrain_coords_id:(255-r.coordsIndex.length)/255,u_texture:0,u_ele_delta:r.getMeshFrameDelta(t.transform.zoom)};u.draw(n,i.TRIANGLES,o,Gr.disabled,a,Zr.backCCW,h,c,\"terrain\",s.vertexBuffer,s.indexBuffer,s.segments),r.coordsIndex.push(e.tileID.key)}n.bindFramebuffer.set(null),n.viewport.set([0,0,t.width,t.height])}(this,this.style.map.terrain))}renderLayer(t,r,n,i){if(!n.isHidden(this.transform.zoom)&&(\"background\"===n.type||\"custom\"===n.type||(i||[]).length))switch(this.id=n.id,n.type){case\"symbol\":$r(t,r,n,i,this.style.placement.variableOffsets);break;case\"circle\":!function(t,r,n,i){if(\"translucent\"!==t.renderPass)return;const a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=!n.layout.get(\"circle-sort-key\").isConstant();if(0===a.constantOr(1)&&(0===o.constantOr(1)||0===s.constantOr(1)))return;const c=t.context,u=c.gl,h=t.depthModeForSublayer(0,qr.ReadOnly),f=Gr.disabled,p=t.colorModeForRenderPass(),d=[];for(let a=0;a<i.length;a++){const o=i[a],s=r.getTile(o),c=s.getBucket(n);if(!c)continue;const u=c.programConfigurations.get(n.id),h=t.useProgram(\"circle\",u),f=c.layoutVertexBuffer,p=c.indexBuffer,m=t.style.map.terrain&&t.style.map.terrain.getTerrainData(o),g={programConfiguration:u,program:h,layoutVertexBuffer:f,indexBuffer:p,uniformValues:Ce(t,o,s,n),terrainData:m};if(l){const t=c.segments.get();for(const r of t)d.push({segments:new e.a0([r]),sortKey:r.sortKey,state:g})}else d.push({segments:c.segments,sortKey:0,state:g})}l&&d.sort(((t,e)=>t.sortKey-e.sortKey));for(const e of d){const{programConfiguration:r,program:i,layoutVertexBuffer:a,indexBuffer:o,uniformValues:s,terrainData:l}=e.state,d=e.segments;i.draw(c,u.TRIANGLES,h,f,p,Zr.disabled,s,l,n.id,a,o,d,n.paint,t.transform.zoom,r)}}(t,r,n,i);break;case\"heatmap\":nn(t,r,n,i);break;case\"line\":!function(t,r,n,i){if(\"translucent\"!==t.renderPass)return;const a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0===a.constantOr(1)||0===o.constantOr(1))return;const s=t.depthModeForSublayer(0,qr.ReadOnly),l=t.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=h?\"linePattern\":c?\"lineSDF\":f?\"lineGradient\":\"line\",m=t.context,g=m.gl;let y=!0;for(const a of i){const i=r.getTile(a);if(h&&!i.patternsLoaded())continue;const o=i.getBucket(n);if(!o)continue;const v=o.programConfigurations.get(n.id),x=t.context.program.get(),_=t.useProgram(d,v),b=y||_.program!==x,T=t.style.map.terrain&&t.style.map.terrain.getTerrainData(a),k=u.constantOr(null);if(k&&i.imageAtlas){const t=i.imageAtlas,e=t.patternPositions[k.to.toString()],r=t.patternPositions[k.from.toString()];e&&r&&v.setConstantPatternPositions(e,r)}const A=T?a:null,M=h?Ue(t,i,n,p,A):c?Ve(t,i,n,c,p,A):f?je(t,i,n,o.lineClipsArray.length,A):Ne(t,i,n,A);if(h)m.activeTexture.set(g.TEXTURE0),i.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),v.updatePaintBuffers(p);else if(c&&(b||t.lineAtlas.dirty))m.activeTexture.set(g.TEXTURE0),t.lineAtlas.bind(m);else if(f){const i=o.gradients[n.id];let s=i.texture;if(n.gradientVersion!==i.version){let l=256;if(n.stepInterpolant){const n=r.getSource().maxzoom,i=a.canonical.z===n?Math.ceil(1<<t.transform.maxZoom-a.canonical.z):1,s=o.maxLineLength/e.X*1024*i;l=e.ad(e.aV(s),256,m.maxTextureSize)}i.gradient=e.aW({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:l,image:i.gradient||void 0,clips:o.lineClipsArray}),i.texture?i.texture.update(i.gradient):i.texture=new w(m,i.gradient,g.RGBA),i.version=n.gradientVersion,s=i.texture}m.activeTexture.set(g.TEXTURE0),s.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}_.draw(m,g.TRIANGLES,s,t.stencilModeForClipping(a),l,Zr.disabled,M,T,n.id,o.layoutVertexBuffer,o.indexBuffer,o.segments,n.paint,t.transform.zoom,v,o.layoutVertexBuffer2),y=!1}}(t,r,n,i);break;case\"fill\":!function(t,r,n,i){const a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0===o.constantOr(1))return;const s=t.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=t.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(e.aN.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(t.renderPass===c){const e=t.depthModeForSublayer(1,\"opaque\"===t.renderPass?qr.ReadWrite:qr.ReadOnly);on(t,r,n,i,e,s,!1)}if(\"translucent\"===t.renderPass&&n.paint.get(\"fill-antialias\")){const e=t.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,qr.ReadOnly);on(t,r,n,i,e,s,!0)}}(t,r,n,i);break;case\"fill-extrusion\":!function(t,e,r,n){const i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){const a=new qr(t.context.gl.LEQUAL,qr.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))sn(t,e,r,n,a,Gr.disabled,Ur.disabled),sn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{const i=t.colorModeForRenderPass();sn(t,e,r,n,a,Gr.disabled,i)}}}(t,r,n,i);break;case\"hillshade\":!function(t,e,r,n){if(\"offscreen\"!==t.renderPass&&\"translucent\"!==t.renderPass)return;const i=t.context,a=t.depthModeForSublayer(0,qr.ReadOnly),o=t.colorModeForRenderPass(),[s,l]=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n];for(const n of l){const i=e.getTile(n);void 0!==i.needsHillshadePrepare&&i.needsHillshadePrepare&&\"offscreen\"===t.renderPass?cn(t,i,r,a,Gr.disabled,o):\"translucent\"===t.renderPass&&ln(t,n,i,r,a,s[n.overscaledZ],o)}i.viewport.set([0,0,t.width,t.height])}(t,r,n,i);break;case\"raster\":!function(t,e,r,n){if(\"translucent\"!==t.renderPass)return;if(0===r.paint.get(\"raster-opacity\"))return;if(!n.length)return;const i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),[c,u]=o instanceof rt?[{},n]:t.stencilConfigForOverlap(n),h=u[u.length-1].overscaledZ,f=!t.options.moving;for(const n of u){const u=t.depthModeForSublayer(n.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?qr.ReadWrite:qr.ReadOnly,a.LESS),p=e.getTile(n);p.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));const d=e.findLoadedParent(n,0),m=e.findLoadedSibling(n),g=un(p,d||m||null,e,r,t.transform,t.style.map.terrain);let y,v;const x=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),p.texture.bind(x,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),d?(d.texture.bind(x,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),y=Math.pow(2,d.tileID.overscaledZ-p.tileID.overscaledZ),v=[p.tileID.canonical.x*y%1,p.tileID.canonical.y*y%1]):p.texture.bind(x,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),p.texture.useMipmap&&i.extTextureFilterAnisotropic&&t.transform.pitch>20&&a.texParameterf(a.TEXTURE_2D,i.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,i.extTextureFilterAnisotropicMax);const _=t.style.map.terrain&&t.style.map.terrain.getTerrainData(n),b=_?n:null,w=b?b.posMatrix:t.transform.calculatePosMatrix(n.toUnwrapped(),f),T=Ge(w,v||[0,0],y||1,g,r);o instanceof rt?s.draw(i,a.TRIANGLES,u,Gr.disabled,l,Zr.disabled,T,_,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,u,c[n.overscaledZ],l,Zr.disabled,T,_,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}(t,r,n,i);break;case\"background\":!function(t,e,r,n){const i=r.paint.get(\"background-color\"),a=r.paint.get(\"background-opacity\");if(0===a)return;const o=t.context,s=o.gl,l=t.transform,c=l.tileSize,u=r.paint.get(\"background-pattern\");if(t.isPatternMissing(u))return;const h=!u&&1===i.a&&1===a&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass!==h)return;const f=Gr.disabled,p=t.depthModeForSublayer(0,\"opaque\"===h?qr.ReadWrite:qr.ReadOnly),d=t.colorModeForRenderPass(),m=t.useProgram(u?\"backgroundPattern\":\"background\"),g=n||l.coveringTiles({tileSize:c,terrain:t.style.map.terrain});u&&(o.activeTexture.set(s.TEXTURE0),t.imageManager.bind(t.context));const y=r.getCrossfadeParameters();for(const e of g){const l=n?e.posMatrix:t.transform.calculatePosMatrix(e.toUnwrapped()),h=u?Je(l,a,t,u,{tileID:e,tileSize:c},y):$e(l,a,i),g=t.style.map.terrain&&t.style.map.terrain.getTerrainData(e);m.draw(o,s.TRIANGLES,p,f,d,Zr.disabled,h,g,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}(t,0,n,i);break;case\"custom\":!function(t,e,r){const n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){const e=i.prerender;e&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),e.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Gr.disabled);const e=\"3d\"===i.renderingMode?new qr(t.context.gl.LEQUAL,qr.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,qr.ReadOnly);n.setDepthMode(e),i.render(n.gl,t.transform.customLayerMatrix(),{farZ:t.transform.farZ,nearZ:t.transform.nearZ,fov:t.transform._fov,modelViewProjectionMatrix:t.transform.modelViewProjectionMatrix,projectionMatrix:t.transform.projectionMatrix}),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}(t,0,n)}}translatePosMatrix(t,r,n,i,a){if(!n[0]&&!n[1])return t;const o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){const t=Math.sin(o),e=Math.cos(o);n=[n[0]*e-n[1]*t,n[0]*t+n[1]*e]}const s=[a?n[0]:Nt(r,n[0],this.transform.zoom),a?n[1]:Nt(r,n[1],this.transform.zoom),0],l=new Float32Array(16);return e.J(l,t,s),l}saveTileTexture(t){const e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]}getTileTexture(t){const e=this._tileTextures[t];return e&&e.length>0?e.pop():null}isPatternMissing(t){if(!t)return!1;if(!t.from||!t.to)return!0;const e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r}useProgram(t,e){this.cache=this.cache||{};const r=t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\")+(this.style.map.terrain?\"/terrain\":\"\");return this.cache[r]||(this.cache[r]=new be(this.context,ge[t],e,Ke[t],this._showOverdrawInspector,this.style.map.terrain)),this.cache[r]}setCustomLayerDefaults(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()}setBaseState(){const 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)}initDebugOverlayCanvas(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;const t=this.context.gl;this.debugOverlayTexture=new w(this.context,this.debugOverlayCanvas,t.RGBA)}}destroy(){this.debugOverlayTexture&&this.debugOverlayTexture.destroy()}overLimit(){const{drawingBufferWidth:t,drawingBufferHeight:e}=this.context.gl;return this.width!==t||this.height!==e}}class kn{constructor(t,e){this.points=t,this.planes=e}static fromInvProjectionMatrix(t,r,n){const i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((n=>{const a=1/(n=e.ag([],n,t))[3]/r*i;return e.b1(n,n,[a,a,1/n[3],a])})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((t=>{const e=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t}([],function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t}([],y([],a[t[0]],a[t[1]]),y([],a[t[2]],a[t[1]]))),r=(n=e,i=a[t[1]],-(n[0]*i[0]+n[1]*i[1]+n[2]*i[2]));var n,i;return e.concat(r)}));return new kn(a,o)}}class An{constructor(t,e){this.min=t,this.max=e,this.center=function(t,e,r){return t[0]=e[0]*r,t[1]=e[1]*r,t[2]=e[2]*r,t}([],function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t}([],this.min,this.max),.5)}quadrant(t){const e=[t%2==0,t<2],r=m(this.min),n=m(this.max);for(let t=0;t<e.length;t++)r[t]=e[t]?this.min[t]:this.center[t],n[t]=e[t]?this.center[t]:this.max[t];return n[2]=this.max[2],new An(r,n)}distanceX(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]}distanceY(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]}intersects(t){const r=[[this.min[0],this.min[1],this.min[2],1],[this.max[0],this.min[1],this.min[2],1],[this.max[0],this.max[1],this.min[2],1],[this.min[0],this.max[1],this.min[2],1],[this.min[0],this.min[1],this.max[2],1],[this.max[0],this.min[1],this.max[2],1],[this.max[0],this.max[1],this.max[2],1],[this.min[0],this.max[1],this.max[2],1]];let n=!0;for(let i=0;i<t.planes.length;i++){const a=t.planes[i];let o=0;for(let t=0;t<r.length;t++)e.b2(a,r[t])>=0&&o++;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(let e=0;e<3;e++){let r=Number.MAX_VALUE,n=-Number.MAX_VALUE;for(let i=0;i<t.points.length;i++){const a=t.points[i][e]-this.min[e];r=Math.min(r,a),n=Math.max(n,a)}if(n<0||r>this.max[e]-this.min[e])return 0}return 1}}class Mn{constructor(t=0,e=0,r=0,n=0){if(isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n}interpolate(t,r,n){return null!=r.top&&null!=t.top&&(this.top=e.z.number(t.top,r.top,n)),null!=r.bottom&&null!=t.bottom&&(this.bottom=e.z.number(t.bottom,r.bottom,n)),null!=r.left&&null!=t.left&&(this.left=e.z.number(t.left,r.left,n)),null!=r.right&&null!=t.right&&(this.right=e.z.number(t.right,r.right,n)),this}getCenter(t,r){const n=e.ad((this.left+t-this.right)/2,0,t),i=e.ad((this.top+r-this.bottom)/2,0,r);return new e.P(n,i)}equals(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right}clone(){return new Mn(this.top,this.bottom,this.left,this.right)}toJSON(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}}}const Sn=85.051129;class En{constructor(t,r,n,i,a){this.tileSize=512,this._renderWorldCopies=void 0===a||!!a,this._minZoom=t||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new e.N(0,0),this._elevation=0,this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new Mn,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={},this.minElevationForCurrentTile=0}clone(){const t=new En(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.apply(this),t}apply(t){this.tileSize=t.tileSize,this.latRange=t.latRange,this.width=t.width,this.height=t.height,this._center=t._center,this._elevation=t._elevation,this.minElevationForCurrentTile=t.minElevationForCurrentTile,this.zoom=t.zoom,this.angle=t.angle,this._fov=t._fov,this._pitch=t._pitch,this._unmodified=t._unmodified,this._edgeInsets=t._edgeInsets.clone(),this._calcMatrices()}get minZoom(){return this._minZoom}set minZoom(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))}get maxZoom(){return this._maxZoom}set maxZoom(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))}get minPitch(){return this._minPitch}set minPitch(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))}get maxPitch(){return this._maxPitch}set maxPitch(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))}get renderWorldCopies(){return this._renderWorldCopies}set renderWorldCopies(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t}get worldSize(){return this.tileSize*this.scale}get centerOffset(){return this.centerPoint._sub(this.size._div(2))}get size(){return new e.P(this.width,this.height)}get bearing(){return-this.angle/Math.PI*180}set bearing(t){const r=-e.b3(t,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=function(){var t=new e.A(4);return e.A!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t}(),function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=Math.sin(r),l=Math.cos(r);t[0]=n*l+a*s,t[1]=i*l+o*s,t[2]=n*-s+a*l,t[3]=i*-s+o*l}(this.rotationMatrix,this.rotationMatrix,this.angle))}get pitch(){return this._pitch/Math.PI*180}set pitch(t){const r=e.ad(t,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())}get fov(){return this._fov/Math.PI*180}set fov(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())}get zoom(){return this._zoom}set zoom(t){const e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.tileZoom=Math.max(0,Math.floor(e)),this.scale=this.zoomScale(e),this._constrain(),this._calcMatrices())}get center(){return this._center}set center(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())}get elevation(){return this._elevation}set elevation(t){t!==this._elevation&&(this._elevation=t,this._constrain(),this._calcMatrices())}get padding(){return this._edgeInsets.toJSON()}set padding(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())}get centerPoint(){return this._edgeInsets.getCenter(this.width,this.height)}isPaddingEqual(t){return this._edgeInsets.equals(t)}interpolatePadding(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()}coveringZoomLevel(t){const e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)}getVisibleUnwrappedCoordinates(t){const r=[new e.b4(0,t)];if(this._renderWorldCopies){const n=this.pointCoordinate(new e.P(0,0)),i=this.pointCoordinate(new e.P(this.width,0)),a=this.pointCoordinate(new e.P(this.width,this.height)),o=this.pointCoordinate(new e.P(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=1;for(let n=s-c;n<=l+c;n++)0!==n&&r.push(new e.b4(n,t))}return r}coveringTiles(t){var r,n;let i=this.coveringZoomLevel(t);const a=i;if(void 0!==t.minzoom&&i<t.minzoom)return[];void 0!==t.maxzoom&&i>t.maxzoom&&(i=t.maxzoom);const o=this.pointCoordinate(this.getCameraPoint()),s=e.Z.fromLngLat(this.center),l=Math.pow(2,i),c=[l*o.x,l*o.y,0],u=[l*s.x,l*s.y,0],h=kn.fromInvProjectionMatrix(this.invModelViewProjectionMatrix,this.worldSize,i);let f=t.minzoom||0;!t.terrain&&this.pitch<=60&&this._edgeInsets.top<.1&&(f=i);const p=t.terrain?2/Math.min(this.tileSize,t.tileSize)*this.tileSize:3,d=t=>({aabb:new An([t*l,0,0],[(t+1)*l,l,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}),m=[],g=[],y=i,x=t.reparseOverscaled?a:i;if(this._renderWorldCopies)for(let t=1;t<=3;t++)m.push(d(-t)),m.push(d(t));for(m.push(d(0));m.length>0;){const i=m.pop(),a=i.x,o=i.y;let s=i.fullyVisible;if(!s){const t=i.aabb.intersects(h);if(0===t)continue;s=2===t}const l=t.terrain?c:u,d=i.aabb.distanceX(l),_=i.aabb.distanceY(l),b=Math.max(Math.abs(d),Math.abs(_)),w=p+(1<<y-i.zoom)-2;if(i.zoom===y||b>w&&i.zoom>=f){const t=y-i.zoom,r=c[0]-.5-(a<<t),n=c[1]-.5-(o<<t);g.push({tileID:new e.S(i.zoom===y?x:i.zoom,i.wrap,i.zoom,a,o),distanceSq:v([u[0]-.5-a,u[1]-.5-o]),tileDistanceToCamera:Math.sqrt(r*r+n*n)})}else for(let l=0;l<4;l++){const c=(a<<1)+l%2,u=(o<<1)+(l>>1),h=i.zoom+1;let f=i.aabb.quadrant(l);if(t.terrain){const a=new e.S(h,i.wrap,h,c,u),o=t.terrain.getMinMaxElevation(a),s=null!==(r=o.minElevation)&&void 0!==r?r:this.elevation,l=null!==(n=o.maxElevation)&&void 0!==n?n:this.elevation;f=new An([f.min[0],f.min[1],s],[f.max[0],f.max[1],l])}m.push({aabb:f,zoom:h,x:c,y:u,wrap:i.wrap,fullyVisible:s})}}return g.sort(((t,e)=>t.distanceSq-e.distanceSq)).map((t=>t.tileID))}resize(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()}get unmodified(){return this._unmodified}zoomScale(t){return Math.pow(2,t)}scaleZoom(t){return Math.log(t)/Math.LN2}project(t){const r=e.ad(t.lat,-85.051129,Sn);return new e.P(e.O(t.lng)*this.worldSize,e.Q(r)*this.worldSize)}unproject(t){return new e.Z(t.x/this.worldSize,t.y/this.worldSize).toLngLat()}get point(){return this.project(this.center)}getCameraPosition(){return{lngLat:this.pointLocation(this.getCameraPoint()),altitude:Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter+this.elevation}}recalculateZoom(t){const r=this.elevation,n=Math.cos(this._pitch)*this.cameraToCenterDistance/this._pixelPerMeter,i=this.pointLocation(this.centerPoint,t),a=t.getElevationForLngLatZoom(i,this.tileZoom);if(!(this.elevation-a))return;const o=n+r-a,s=Math.cos(this._pitch)*this.cameraToCenterDistance/o/e.b5(1,i.lat)/this.tileSize,l=this.scaleZoom(s);this._elevation=a,this._center=i,this.zoom=l}setLocationAtPoint(t,r){const n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(t),o=new e.Z(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())}locationPoint(t,e){return e?this.coordinatePoint(this.locationCoordinate(t),e.getElevationForLngLatZoom(t,this.tileZoom),this.pixelMatrix3D):this.coordinatePoint(this.locationCoordinate(t))}pointLocation(t,e){return this.coordinateLocation(this.pointCoordinate(t,e))}locationCoordinate(t){return e.Z.fromLngLat(t)}coordinateLocation(t){return t&&t.toLngLat()}pointCoordinate(t,r){if(r){const e=r.pointCoordinate(t);if(null!=e)return e}const n=[t.x,t.y,0,1],i=[t.x,t.y,1,1];e.ag(n,n,this.pixelMatrixInverse),e.ag(i,i,this.pixelMatrixInverse);const a=n[3],o=i[3],s=n[0]/a,l=i[0]/o,c=n[1]/a,u=i[1]/o,h=n[2]/a,f=i[2]/o,p=h===f?0:(0-h)/(f-h);return new e.Z(e.z.number(s,l,p)/this.worldSize,e.z.number(c,u,p)/this.worldSize)}coordinatePoint(t,r=0,n=this.pixelMatrix){const i=[t.x*this.worldSize,t.y*this.worldSize,r,1];return e.ag(i,i,n),new e.P(i[0]/i[3],i[1]/i[3])}getBounds(){const t=Math.max(0,this.height/2-this.getHorizon());return(new X).extend(this.pointLocation(new e.P(0,t))).extend(this.pointLocation(new e.P(this.width,t))).extend(this.pointLocation(new e.P(this.width,this.height))).extend(this.pointLocation(new e.P(0,this.height)))}getMaxBounds(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new X([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null}getHorizon(){return Math.tan(Math.PI/2-this._pitch)*this.cameraToCenterDistance*.85}setMaxBounds(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-85.051129,Sn])}calculateTileMatrix(t){const r=t.canonical,n=this.worldSize/this.zoomScale(r.z),i=r.x+Math.pow(2,r.z)*t.wrap,a=e.ao(new Float64Array(16));return e.J(a,a,[i*n,r.y*n,0]),e.K(a,a,[n/e.X,n/e.X,1]),a}calculatePosMatrix(t,r=!1){const n=t.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];const a=this.calculateTileMatrix(t);return e.L(a,r?this.alignedModelViewProjectionMatrix:this.modelViewProjectionMatrix,a),i[n]=new Float32Array(a),i[n]}calculateFogMatrix(t){const r=t.key,n=this._fogMatrixCache;if(n[r])return n[r];const i=this.calculateTileMatrix(t);return e.L(i,this.fogMatrix,i),n[r]=new Float32Array(i),n[r]}customLayerMatrix(){return this.mercatorMatrix.slice()}getConstrained(t,r){r=e.ad(+r,this.minZoom,this.maxZoom);const n={center:new e.N(t.lng,t.lat),zoom:r};let i=this.lngRange;if(!this._renderWorldCopies&&null===i){const t=180-1e-10;i=[-t,t]}const a=this.tileSize*this.zoomScale(n.zoom);let o=0,s=a,l=0,c=a,u=0,h=0;const{x:f,y:p}=this.size;if(this.latRange){const t=this.latRange;o=e.Q(t[1])*a,s=e.Q(t[0])*a,s-o<p&&(u=p/(s-o))}i&&(l=e.b3(e.O(i[0])*a,0,a),c=e.b3(e.O(i[1])*a,0,a),c<l&&(c+=a),c-l<f&&(h=f/(c-l)));const{x:d,y:m}=this.project.call({worldSize:a},t);let g,y;const v=Math.max(h||0,u||0);if(v){const t=new e.P(h?(c+l)/2:d,u?(s+o)/2:m);return n.center=this.unproject.call({worldSize:a},t).wrap(),n.zoom+=this.scaleZoom(v),n}if(this.latRange){const t=p/2;m-t<o&&(y=o+t),m+t>s&&(y=s-t)}if(i){const t=(l+c)/2;let r=d;this._renderWorldCopies&&(r=e.b3(d,t-a/2,t+a/2));const n=f/2;r-n<l&&(g=l+n),r+n>c&&(g=c-n)}if(void 0!==g||void 0!==y){const t=new e.P(null!=g?g:d,null!=y?y:m);n.center=this.unproject.call({worldSize:a},t).wrap()}return n}_constrain(){if(!this.center||!this.width||!this.height||this._constraining)return;this._constraining=!0;const t=this._unmodified,{center:e,zoom:r}=this.getConstrained(this.center,this.zoom);this.center=e,this.zoom=r,this._unmodified=t,this._constraining=!1}_calcMatrices(){if(!this.height)return;const t=this._fov/2,r=this.centerOffset,n=this.point.x,i=this.point.y;this.cameraToCenterDistance=.5/Math.tan(t)*this.height,this._pixelPerMeter=e.b5(1,this.center.lat)*this.worldSize;let a=e.ao(new Float64Array(16));e.K(a,a,[this.width/2,-this.height/2,1]),e.J(a,a,[1,-1,0]),this.labelPlaneMatrix=a,a=e.ao(new Float64Array(16)),e.K(a,a,[1,-1,1]),e.J(a,a,[-1,-1,0]),e.K(a,a,[2/this.width,2/this.height,1]),this.glCoordMatrix=a;const o=this.cameraToCenterDistance+this._elevation*this._pixelPerMeter/Math.cos(this._pitch),s=Math.min(this.elevation,this.minElevationForCurrentTile),l=o-s*this._pixelPerMeter/Math.cos(this._pitch),c=s<0?l:o,u=Math.PI/2+this._pitch,h=this._fov*(.5+r.y/this.height),f=Math.sin(h)*c/Math.sin(e.ad(Math.PI-u-h,.01,Math.PI-.01)),p=this.getHorizon(),d=2*Math.atan(p/this.cameraToCenterDistance)*(.5+r.y/(2*p)),m=Math.sin(d)*c/Math.sin(e.ad(Math.PI-u-d,.01,Math.PI-.01)),g=Math.min(f,m);this.farZ=1.01*(Math.cos(Math.PI/2-this._pitch)*g+c),this.nearZ=this.height/50,a=new Float64Array(16),e.b6(a,this._fov,this.width/this.height,this.nearZ,this.farZ),a[8]=2*-r.x/this.width,a[9]=2*r.y/this.height,this.projectionMatrix=e.af(a),e.K(a,a,[1,-1,1]),e.J(a,a,[0,0,-this.cameraToCenterDistance]),e.b7(a,a,this._pitch),e.ae(a,a,this.angle),e.J(a,a,[-n,-i,0]),this.mercatorMatrix=e.K([],a,[this.worldSize,this.worldSize,this.worldSize]),e.K(a,a,[1,1,this._pixelPerMeter]),this.pixelMatrix=e.L(new Float64Array(16),this.labelPlaneMatrix,a),e.J(a,a,[0,0,-this.elevation]),this.modelViewProjectionMatrix=a,this.invModelViewProjectionMatrix=e.at([],a),this.fogMatrix=new Float64Array(16),e.b6(this.fogMatrix,this._fov,this.width/this.height,o,this.farZ),this.fogMatrix[8]=2*-r.x/this.width,this.fogMatrix[9]=2*r.y/this.height,e.K(this.fogMatrix,this.fogMatrix,[1,-1,1]),e.J(this.fogMatrix,this.fogMatrix,[0,0,-this.cameraToCenterDistance]),e.b7(this.fogMatrix,this.fogMatrix,this._pitch),e.ae(this.fogMatrix,this.fogMatrix,this.angle),e.J(this.fogMatrix,this.fogMatrix,[-n,-i,0]),e.K(this.fogMatrix,this.fogMatrix,[1,1,this._pixelPerMeter]),e.J(this.fogMatrix,this.fogMatrix,[0,0,-this.elevation]),this.pixelMatrix3D=e.L(new Float64Array(16),this.labelPlaneMatrix,a);const y=this.width%2/2,v=this.height%2/2,x=Math.cos(this.angle),_=Math.sin(this.angle),b=n-Math.round(n)+x*y+_*v,w=i-Math.round(i)+x*v+_*y,T=new Float64Array(a);if(e.J(T,T,[b>.5?b-1:b,w>.5?w-1:w,0]),this.alignedModelViewProjectionMatrix=T,a=e.at(new Float64Array(16),this.pixelMatrix),!a)throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=a,this._posMatrixCache={},this._alignedPosMatrixCache={},this._fogMatrixCache={}}maxPitchScaleFactor(){if(!this.pixelMatrixInverse)return 1;const t=this.pointCoordinate(new e.P(0,0)),r=[t.x*this.worldSize,t.y*this.worldSize,0,1];return e.ag(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance}getCameraPoint(){const t=this._pitch,r=Math.tan(t)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new e.P(0,r))}getCameraQueryGeometry(t){const r=this.getCameraPoint();if(1===t.length)return[t[0],r];{let n=r.x,i=r.y,a=r.x,o=r.y;for(const e of t)n=Math.min(n,e.x),i=Math.min(i,e.y),a=Math.max(a,e.x),o=Math.max(o,e.y);return[new e.P(n,i),new e.P(a,i),new e.P(a,o),new e.P(n,o),new e.P(n,i)]}}lngLatToCameraDepth(t,r){const n=this.locationCoordinate(t),i=[n.x*this.worldSize,n.y*this.worldSize,r,1];return e.ag(i,i,this.modelViewProjectionMatrix),i[2]/i[3]}}function Cn(t,e){let r,n=!1,i=null,a=null;const o=()=>{i=null,n&&(t.apply(a,r),i=setTimeout(o,e),n=!1)};return(...t)=>(n=!0,a=this,r=t,i||o(),i)}class Ln{constructor(t){this._getCurrentHash=()=>{const t=window.location.hash.replace(\"#\",\"\");if(this._hashName){let e;return t.split(\"&\").map((t=>t.split(\"=\"))).forEach((t=>{t[0]===this._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")}return t.split(\"/\")},this._onHashChange=()=>{const t=this._getCurrentHash();if(t.length>=3&&!t.some((t=>isNaN(t)))){const e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},this._updateHashUnthrottled=()=>{const t=window.location.href.replace(/(#.+)?$/,this.getHashString());window.history.replaceState(window.history.state,null,t)},this._removeHash=()=>{const t=this._getCurrentHash();if(0===t.length)return;const e=t.join(\"/\");let r=e;r.split(\"&\").length>0&&(r=r.split(\"&\")[0]),this._hashName&&(r=`${this._hashName}=${e}`);let n=window.location.hash.replace(r,\"\");n.startsWith(\"#&\")?n=n.slice(0,1)+n.slice(2):\"#\"===n&&(n=\"\");let i=window.location.href.replace(/(#.+)?$/,n);i=i.replace(\"&&\",\"&\"),window.history.replaceState(window.history.state,null,i)},this._updateHash=Cn(this._updateHashUnthrottled,300),this._hashName=t&&encodeURIComponent(t)}addTo(t){return this._map=t,addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this}remove(){return removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),this._removeHash(),delete this._map,this}getHashString(t){const e=this._map.getCenter(),r=Math.round(100*this._map.getZoom())/100,n=Math.ceil((r*Math.LN2+Math.log(512/360/.5))/Math.LN10),i=Math.pow(10,n),a=Math.round(e.lng*i)/i,o=Math.round(e.lat*i)/i,s=this._map.getBearing(),l=this._map.getPitch();let c=\"\";if(c+=t?`/${a}/${o}/${r}`:`${r}/${o}/${a}`,(s||l)&&(c+=\"/\"+Math.round(10*s)/10),l&&(c+=`/${Math.round(l)}`),this._hashName){const t=this._hashName;let e=!1;const r=window.location.hash.slice(1).split(\"&\").map((r=>{const n=r.split(\"=\")[0];return n===t?(e=!0,`${n}=${c}`):r})).filter((t=>t));return e||r.push(`${t}=${c}`),`#${r.join(\"&\")}`}return`#${c}`}}const In={linearity:.3,easing:e.b8(0,0,.3,1)},Pn=e.e({deceleration:2500,maxSpeed:1400},In),zn=e.e({deceleration:20,maxSpeed:1400},In),On=e.e({deceleration:1e3,maxSpeed:360},In),Dn=e.e({deceleration:1e3,maxSpeed:90},In);class Rn{constructor(t){this._map=t,this.clear()}clear(){this._inertiaBuffer=[]}record(t){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:a.now(),settings:t})}_drainInertiaBuffer(){const t=this._inertiaBuffer,e=a.now();for(;t.length>0&&e-t[0].time>160;)t.shift()}_onMoveEnd(t){if(this._drainInertiaBuffer(),this._inertiaBuffer.length<2)return;const r={zoom:0,bearing:0,pitch:0,pan:new e.P(0,0),pinchAround:void 0,around:void 0};for(const{settings:t}of this._inertiaBuffer)r.zoom+=t.zoomDelta||0,r.bearing+=t.bearingDelta||0,r.pitch+=t.pitchDelta||0,t.panDelta&&r.pan._add(t.panDelta),t.around&&(r.around=t.around),t.pinchAround&&(r.pinchAround=t.pinchAround);const n=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,i={};if(r.pan.mag()){const a=Bn(r.pan.mag(),n,e.e({},Pn,t||{}));i.offset=r.pan.mult(a.amount/r.pan.mag()),i.center=this._map.transform.center,Fn(i,a)}if(r.zoom){const t=Bn(r.zoom,n,zn);i.zoom=this._map.transform.zoom+t.amount,Fn(i,t)}if(r.bearing){const t=Bn(r.bearing,n,On);i.bearing=this._map.transform.bearing+e.ad(t.amount,-179,179),Fn(i,t)}if(r.pitch){const t=Bn(r.pitch,n,Dn);i.pitch=this._map.transform.pitch+t.amount,Fn(i,t)}if(i.zoom||i.bearing){const t=void 0===r.pinchAround?r.around:r.pinchAround;i.around=t?this._map.unproject(t):this._map.getCenter()}return this.clear(),e.e(i,{noMoveStart:!0})}}function Fn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Bn(t,r,n){const{maxSpeed:i,linearity:a,deceleration:o}=n,s=e.ad(t*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}class Nn extends e.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(t,r,n,i={}){const a=o.mousePos(r.getCanvas(),n),s=r.unproject(a);super(t,e.e({point:a,lngLat:s,originalEvent:n},i)),this._defaultPrevented=!1,this.target=r}}class jn extends e.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(t,r,n){const i=\"touchend\"===t?n.changedTouches:n.touches,a=o.touchPos(r.getCanvasContainer(),i),s=a.map((t=>r.unproject(t))),l=a.reduce(((t,e,r,n)=>t.add(e.div(n.length))),new e.P(0,0));super(t,{points:a,point:l,lngLats:s,lngLat:r.unproject(l),originalEvent:n}),this._defaultPrevented=!1}}class Un extends e.k{preventDefault(){this._defaultPrevented=!0}get defaultPrevented(){return this._defaultPrevented}constructor(t,e,r){super(t,{originalEvent:r}),this._defaultPrevented=!1}}class Vn{constructor(t,e){this._map=t,this._clickTolerance=e.clickTolerance}reset(){delete this._mousedownPos}wheel(t){return this._firePreventable(new Un(t.type,this._map,t))}mousedown(t,e){return this._mousedownPos=e,this._firePreventable(new Nn(t.type,this._map,t))}mouseup(t){this._map.fire(new Nn(t.type,this._map,t))}click(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Nn(t.type,this._map,t))}dblclick(t){return this._firePreventable(new Nn(t.type,this._map,t))}mouseover(t){this._map.fire(new Nn(t.type,this._map,t))}mouseout(t){this._map.fire(new Nn(t.type,this._map,t))}touchstart(t){return this._firePreventable(new jn(t.type,this._map,t))}touchmove(t){this._map.fire(new jn(t.type,this._map,t))}touchend(t){this._map.fire(new jn(t.type,this._map,t))}touchcancel(t){this._map.fire(new jn(t.type,this._map,t))}_firePreventable(t){if(this._map.fire(t),t.defaultPrevented)return{}}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class qn{constructor(t){this._map=t}reset(){this._delayContextMenu=!1,this._ignoreContextMenu=!0,delete this._contextMenuEvent}mousemove(t){this._map.fire(new Nn(t.type,this._map,t))}mousedown(){this._delayContextMenu=!0,this._ignoreContextMenu=!1}mouseup(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Nn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)}contextmenu(t){this._delayContextMenu?this._contextMenuEvent=t:this._ignoreContextMenu||this._map.fire(new Nn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()}isEnabled(){return!0}isActive(){return!1}enable(){}disable(){}}class Hn{constructor(t){this._map=t}get transform(){return this._map._requestedCameraState||this._map.transform}get center(){return{lng:this.transform.center.lng,lat:this.transform.center.lat}}get zoom(){return this.transform.zoom}get pitch(){return this.transform.pitch}get bearing(){return this.transform.bearing}unproject(t){return this.transform.pointLocation(e.P.convert(t),this._map.terrain)}}class Gn{constructor(t,e){this._map=t,this._tr=new Hn(t),this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1}isEnabled(){return!!this._enabled}isActive(){return!!this._active}enable(){this.isEnabled()||(this._enabled=!0)}disable(){this.isEnabled()&&(this._enabled=!1)}mousedown(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(o.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)}mousemoveWindow(t,e){if(!this._active)return;const r=e;if(this._lastPos.equals(r)||!this._box&&r.dist(this._startPos)<this._clickTolerance)return;const n=this._startPos;this._lastPos=r,this._box||(this._box=o.create(\"div\",\"maplibregl-boxzoom\",this._container),this._container.classList.add(\"maplibregl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));const i=Math.min(n.x,r.x),a=Math.max(n.x,r.x),s=Math.min(n.y,r.y),l=Math.max(n.y,r.y);o.setTransform(this._box,`translate(${i}px,${s}px)`),this._box.style.width=a-i+\"px\",this._box.style.height=l-s+\"px\"}mouseupWindow(t,r){if(!this._active)return;if(0!==t.button)return;const n=this._startPos,i=r;if(this.reset(),o.suppressClick(),n.x!==i.x||n.y!==i.y)return this._map.fire(new e.k(\"boxzoomend\",{originalEvent:t})),{cameraAnimation:t=>t.fitScreenCoordinates(n,i,this._tr.bearing,{linear:!0})};this._fireEvent(\"boxzoomcancel\",t)}keydown(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))}reset(){this._active=!1,this._container.classList.remove(\"maplibregl-crosshair\"),this._box&&(o.remove(this._box),this._box=null),o.enableDrag(),delete this._startPos,delete this._lastPos}_fireEvent(t,r){return this._map.fire(new e.k(t,{originalEvent:r}))}}function Zn(t,e){if(t.length!==e.length)throw new Error(`The number of touches and points are not equal - touches ${t.length}, points ${e.length}`);const r={};for(let n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}class Wn{constructor(t){this.reset(),this.numTouches=t.numTouches}reset(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1}touchstart(t,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=t.timeStamp),n.length===this.numTouches&&(this.centroid=function(t){const r=new e.P(0,0);for(const e of t)r._add(e);return r.div(t.length)}(r),this.touches=Zn(n,r)))}touchmove(t,e,r){if(this.aborted||!this.centroid)return;const n=Zn(r,e);for(const t in this.touches){const e=this.touches[t],r=n[t];(!r||r.dist(e)>30)&&(this.aborted=!0)}}touchend(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){const t=!this.aborted&&this.centroid;if(this.reset(),t)return t}}}class Yn{constructor(t){this.singleTap=new Wn(t),this.numTaps=t.numTaps,this.reset()}reset(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()}touchstart(t,e,r){this.singleTap.touchstart(t,e,r)}touchmove(t,e,r){this.singleTap.touchmove(t,e,r)}touchend(t,e,r){const n=this.singleTap.touchend(t,e,r);if(n){const e=t.timeStamp-this.lastTime<500,r=!this.lastTap||this.lastTap.dist(n)<30;if(e&&r||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}}}class Xn{constructor(t){this._tr=new Hn(t),this._zoomIn=new Yn({numTouches:1,numTaps:2}),this._zoomOut=new Yn({numTouches:2,numTaps:1}),this.reset()}reset(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()}touchstart(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)}touchmove(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)}touchend(t,e,r){const n=this._zoomIn.touchend(t,e,r),i=this._zoomOut.touchend(t,e,r),a=this._tr;return n?(this._active=!0,t.preventDefault(),setTimeout((()=>this.reset()),0),{cameraAnimation:e=>e.easeTo({duration:300,zoom:a.zoom+1,around:a.unproject(n)},{originalEvent:t})}):i?(this._active=!0,t.preventDefault(),setTimeout((()=>this.reset()),0),{cameraAnimation:e=>e.easeTo({duration:300,zoom:a.zoom-1,around:a.unproject(i)},{originalEvent:t})}):void 0}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class $n{constructor(t){this._enabled=!!t.enable,this._moveStateManager=t.moveStateManager,this._clickTolerance=t.clickTolerance||1,this._moveFunction=t.move,this._activateOnStart=!!t.activateOnStart,t.assignEvents(this),this.reset()}reset(t){this._active=!1,this._moved=!1,delete this._lastPoint,this._moveStateManager.endMove(t)}_move(...t){const e=this._moveFunction(...t);if(e.bearingDelta||e.pitchDelta||e.around||e.panDelta)return this._active=!0,e}dragStart(t,e){this.isEnabled()&&!this._lastPoint&&this._moveStateManager.isValidStartEvent(t)&&(this._moveStateManager.startMove(t),this._lastPoint=e.length?e[0]:e,this._activateOnStart&&this._lastPoint&&(this._active=!0))}dragMove(t,e){if(!this.isEnabled())return;const r=this._lastPoint;if(!r)return;if(t.preventDefault(),!this._moveStateManager.isValidMoveEvent(t))return void this.reset(t);const n=e.length?e[0]:e;return!this._moved&&n.dist(r)<this._clickTolerance?void 0:(this._moved=!0,this._lastPoint=n,this._move(r,n))}dragEnd(t){this.isEnabled()&&this._lastPoint&&this._moveStateManager.isValidEndEvent(t)&&(this._moved&&o.suppressClick(),this.reset(t))}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}getClickTolerance(){return this._clickTolerance}}const Jn={0:1,2:2};class Kn{constructor(t){this._correctEvent=t.checkCorrectEvent}startMove(t){const e=o.mouseButton(t);this._eventButton=e}endMove(t){delete this._eventButton}isValidStartEvent(t){return this._correctEvent(t)}isValidMoveEvent(t){return!function(t,e){const r=Jn[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton)}isValidEndEvent(t){return o.mouseButton(t)===this._eventButton}}class Qn{constructor(){this._firstTouch=void 0}_isOneFingerTouch(t){return 1===t.targetTouches.length}_isSameTouchEvent(t){return t.targetTouches[0].identifier===this._firstTouch}startMove(t){const e=t.targetTouches[0].identifier;this._firstTouch=e}endMove(t){delete this._firstTouch}isValidStartEvent(t){return this._isOneFingerTouch(t)}isValidMoveEvent(t){return this._isOneFingerTouch(t)&&this._isSameTouchEvent(t)}isValidEndEvent(t){return this._isOneFingerTouch(t)&&this._isSameTouchEvent(t)}}const ti=t=>{t.mousedown=t.dragStart,t.mousemoveWindow=t.dragMove,t.mouseup=t.dragEnd,t.contextmenu=t=>{t.preventDefault()}},ei=({enable:t,clickTolerance:e,bearingDegreesPerPixelMoved:r=.8})=>{const n=new Kn({checkCorrectEvent:t=>0===o.mouseButton(t)&&t.ctrlKey||2===o.mouseButton(t)});return new $n({clickTolerance:e,move:(t,e)=>({bearingDelta:(e.x-t.x)*r}),moveStateManager:n,enable:t,assignEvents:ti})},ri=({enable:t,clickTolerance:e,pitchDegreesPerPixelMoved:r=-.5})=>{const n=new Kn({checkCorrectEvent:t=>0===o.mouseButton(t)&&t.ctrlKey||2===o.mouseButton(t)});return new $n({clickTolerance:e,move:(t,e)=>({pitchDelta:(e.y-t.y)*r}),moveStateManager:n,enable:t,assignEvents:ti})};class ni{constructor(t,e){this._clickTolerance=t.clickTolerance||1,this._map=e,this.reset()}reset(){this._active=!1,this._touches={},this._sum=new e.P(0,0)}_shouldBePrevented(t){return t<(this._map.cooperativeGestures.isEnabled()?2:1)}touchstart(t,e,r){return this._calculateTransform(t,e,r)}touchmove(t,e,r){if(this._active){if(!this._shouldBePrevented(r.length))return t.preventDefault(),this._calculateTransform(t,e,r);this._map.cooperativeGestures.notifyGestureBlocked(\"touch_pan\",t)}}touchend(t,e,r){this._calculateTransform(t,e,r),this._active&&this._shouldBePrevented(r.length)&&this.reset()}touchcancel(){this.reset()}_calculateTransform(t,r,n){n.length>0&&(this._active=!0);const i=Zn(n,r),a=new e.P(0,0),o=new e.P(0,0);let s=0;for(const t in i){const e=i[t],r=this._touches[t];r&&(a._add(e),o._add(e.sub(r)),s++,i[t]=e)}if(this._touches=i,this._shouldBePrevented(s)||!o.mag())return;const l=o.div(s);return this._sum._add(l),this._sum.mag()<this._clickTolerance?void 0:{around:a.div(s),panDelta:l}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class ii{constructor(){this.reset()}reset(){this._active=!1,delete this._firstTwoTouches}touchstart(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))}touchmove(t,e,r){if(!this._firstTwoTouches)return;t.preventDefault();const[n,i]=this._firstTwoTouches,a=ai(r,e,n),o=ai(r,e,i);if(!a||!o)return;const s=this._aroundCenter?null:a.add(o).div(2);return this._move([a,o],s,t)}touchend(t,e,r){if(!this._firstTwoTouches)return;const[n,i]=this._firstTwoTouches,a=ai(r,e,n),s=ai(r,e,i);a&&s||(this._active&&o.suppressClick(),this.reset())}touchcancel(){this.reset()}enable(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around}disable(){this._enabled=!1,this.reset()}isEnabled(){return!!this._enabled}isActive(){return!!this._active}}function ai(t,e,r){for(let n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}function oi(t,e){return Math.log(t/e)/Math.LN2}class si extends ii{reset(){super.reset(),delete this._distance,delete this._startDistance}_start(t){this._startDistance=this._distance=t[0].dist(t[1])}_move(t,e){const r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(oi(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:oi(this._distance,r),pinchAround:e}}}function li(t,e){return 180*t.angleWith(e)/Math.PI}class ci extends ii{reset(){super.reset(),delete this._minDiameter,delete this._startVector,delete this._vector}_start(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])}_move(t,e,r){const n=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:li(this._vector,n),pinchAround:e}}_isBelowThreshold(t){this._minDiameter=Math.min(this._minDiameter,t.mag());const e=25/(Math.PI*this._minDiameter)*360,r=li(t,this._startVector);return Math.abs(r)<e}}function ui(t){return Math.abs(t.y)>Math.abs(t.x)}class hi extends ii{constructor(t){super(),this._currentTouchCount=0,this._map=t}reset(){super.reset(),this._valid=void 0,delete this._firstMove,delete this._lastPoints}touchstart(t,e,r){super.touchstart(t,e,r),this._currentTouchCount=r.length}_start(t){this._lastPoints=t,ui(t[0].sub(t[1]))&&(this._valid=!1)}_move(t,e,r){if(this._map.cooperativeGestures.isEnabled()&&this._currentTouchCount<3)return;const n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);return this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid?(this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}):void 0}gestureBeginsVertically(t,e,r){if(void 0!==this._valid)return this._valid;const n=t.mag()>=2,i=e.mag()>=2;if(!n&&!i)return;if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;const a=t.y>0==e.y>0;return ui(t)&&ui(e)&&a}}const fi={panStep:100,bearingStep:15,pitchStep:10};class pi{constructor(t){this._tr=new Hn(t);const e=fi;this._panStep=e.panStep,this._bearingStep=e.bearingStep,this._pitchStep=e.pitchStep,this._rotationDisabled=!1}reset(){this._active=!1}keydown(t){if(t.altKey||t.ctrlKey||t.metaKey)return;let e=0,r=0,n=0,i=0,a=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(),i=-1);break;case 39:t.shiftKey?r=1:(t.preventDefault(),i=1);break;case 38:t.shiftKey?n=1:(t.preventDefault(),a=-1);break;case 40:t.shiftKey?n=-1:(t.preventDefault(),a=1);break;default:return}return this._rotationDisabled&&(r=0,n=0),{cameraAnimation:o=>{const s=this._tr;o.easeTo({duration:300,easeId:\"keyboardHandler\",easing:di,zoom:e?Math.round(s.zoom)+e*(t.shiftKey?2:1):s.zoom,bearing:s.bearing+r*this._bearingStep,pitch:s.pitch+n*this._pitchStep,offset:[-i*this._panStep,-a*this._panStep],center:s.center},{originalEvent:t})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}disableRotation(){this._rotationDisabled=!0}enableRotation(){this._rotationDisabled=!1}}function di(t){return t*(2-t)}const mi=4.000244140625;class gi{constructor(t,e){this._onTimeout=t=>{this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},this._map=t,this._tr=new Hn(t),this._triggerRenderFrame=e,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222}setZoomRate(t){this._defaultZoomRate=t}setWheelZoomRate(t){this._wheelZoomRate=t}isEnabled(){return!!this._enabled}isActive(){return!!this._active||void 0!==this._finishTimeout}isZooming(){return!!this._zooming}enable(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around)}disable(){this.isEnabled()&&(this._enabled=!1)}_shouldBePrevented(t){return!!this._map.cooperativeGestures.isEnabled()&&!(t.ctrlKey||this._map.cooperativeGestures.isBypassed(t))}wheel(t){if(!this.isEnabled())return;if(this._shouldBePrevented(t))return void this._map.cooperativeGestures.notifyGestureBlocked(\"wheel_zoom\",t);let e=t.deltaMode===WheelEvent.DOM_DELTA_LINE?40*t.deltaY:t.deltaY;const r=a.now(),n=r-(this._lastWheelEventTime||0);this._lastWheelEventTime=r,0!==e&&e%mi==0?this._type=\"wheel\":0!==e&&Math.abs(e)<4?this._type=\"trackpad\":n>400?(this._type=null,this._lastValue=e,this._timeout=setTimeout(this._onTimeout,40,t)):this._type||(this._type=Math.abs(n*e)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,e+=this._lastValue)),t.shiftKey&&e&&(e/=4),this._type&&(this._lastWheelEvent=t,this._delta-=e,this._active||this._start(t)),t.preventDefault()}_start(t){if(!this._delta)return;this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);const r=o.mousePos(this._map.getCanvas(),t),n=this._tr;r.y>n.transform.height/2-n.transform.getHorizon()?this._around=e.N.convert(this._aroundCenter?n.center:n.unproject(r)):this._around=e.N.convert(n.center),this._aroundPoint=n.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._triggerRenderFrame())}renderFrame(){if(!this._frameId)return;if(this._frameId=null,!this.isActive())return;const t=this._tr.transform;if(0!==this._delta){const e=\"wheel\"===this._type&&Math.abs(this._delta)>mi?this._wheelZoomRate:this._defaultZoomRate;let r=2/(1+Math.exp(-Math.abs(this._delta*e)));this._delta<0&&0!==r&&(r=1/r);const n=\"number\"==typeof this._targetZoom?t.zoomScale(this._targetZoom):t.scale;this._targetZoom=Math.min(t.maxZoom,Math.max(t.minZoom,t.scaleZoom(n*r))),\"wheel\"===this._type&&(this._startZoom=t.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}const r=\"number\"==typeof this._targetZoom?this._targetZoom:t.zoom,n=this._startZoom,i=this._easing;let o,s=!1;const l=a.now()-this._lastWheelEventTime;if(\"wheel\"===this._type&&n&&i&&l){const t=Math.min(l/200,1),a=i(t);o=e.z.number(n,r,a),t<1?this._frameId||(this._frameId=!0):s=!0}else o=r,s=!0;return this._active=!0,s&&(this._active=!1,this._finishTimeout=setTimeout((()=>{this._zooming=!1,this._triggerRenderFrame(),delete this._targetZoom,delete this._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!s,zoomDelta:o-t.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}_smoothOutEasing(t){let r=e.b9;if(this._prevEase){const t=this._prevEase,n=(a.now()-t.start)/t.duration,i=t.easing(n+.01)-t.easing(n),o=.27/Math.sqrt(i*i+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=e.b8(o,s,.25,1)}return this._prevEase={start:a.now(),duration:t,easing:r},r}reset(){this._active=!1,this._zooming=!1,delete this._targetZoom,this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout)}}class yi{constructor(t,e){this._clickZoom=t,this._tapZoom=e}enable(){this._clickZoom.enable(),this._tapZoom.enable()}disable(){this._clickZoom.disable(),this._tapZoom.disable()}isEnabled(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()}isActive(){return this._clickZoom.isActive()||this._tapZoom.isActive()}}class vi{constructor(t){this._tr=new Hn(t),this.reset()}reset(){this._active=!1}dblclick(t,e){return t.preventDefault(),{cameraAnimation:r=>{r.easeTo({duration:300,zoom:this._tr.zoom+(t.shiftKey?-1:1),around:this._tr.unproject(e)},{originalEvent:t})}}}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class xi{constructor(){this._tap=new Yn({numTouches:1,numTaps:1}),this.reset()}reset(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,delete this._tapPoint,this._tap.reset()}touchstart(t,e,r){if(!this._swipePoint)if(this._tapTime){const n=e[0],i=t.timeStamp-this._tapTime<500,a=this._tapPoint.dist(n)<30;i&&a?r.length>0&&(this._swipePoint=n,this._swipeTouch=r[0].identifier):this.reset()}else this._tap.touchstart(t,e,r)}touchmove(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;const n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)}touchend(t,e,r){if(this._tapTime)this._swipePoint&&0===r.length&&this.reset();else{const n=this._tap.touchend(t,e,r);n&&(this._tapTime=t.timeStamp,this._tapPoint=n)}}touchcancel(){this.reset()}enable(){this._enabled=!0}disable(){this._enabled=!1,this.reset()}isEnabled(){return this._enabled}isActive(){return this._active}}class _i{constructor(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r}enable(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"maplibregl-touch-drag-pan\")}disable(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"maplibregl-touch-drag-pan\")}isEnabled(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()}isActive(){return this._mousePan.isActive()||this._touchPan.isActive()}}class bi{constructor(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r}enable(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()}disable(){this._mouseRotate.disable(),this._mousePitch.disable()}isEnabled(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())}isActive(){return this._mouseRotate.isActive()||this._mousePitch.isActive()}}class wi{constructor(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0}enable(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"maplibregl-touch-zoom-rotate\")}disable(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"maplibregl-touch-zoom-rotate\")}isEnabled(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()}isActive(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()}disableRotation(){this._rotationDisabled=!0,this._touchRotate.disable()}enableRotation(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()}}class Ti{constructor(t,e){this._bypassKey=-1!==navigator.userAgent.indexOf(\"Mac\")?\"metaKey\":\"ctrlKey\",this._map=t,this._options=e,this._enabled=!1}isActive(){return!1}reset(){}_setupUI(){if(this._container)return;const t=this._map.getCanvasContainer();t.classList.add(\"maplibregl-cooperative-gestures\"),this._container=o.create(\"div\",\"maplibregl-cooperative-gesture-screen\",t);let e=this._map._getUIString(\"CooperativeGesturesHandler.WindowsHelpText\");\"metaKey\"===this._bypassKey&&(e=this._map._getUIString(\"CooperativeGesturesHandler.MacHelpText\"));const r=this._map._getUIString(\"CooperativeGesturesHandler.MobileHelpText\"),n=document.createElement(\"div\");n.className=\"maplibregl-desktop-message\",n.textContent=e,this._container.appendChild(n);const i=document.createElement(\"div\");i.className=\"maplibregl-mobile-message\",i.textContent=r,this._container.appendChild(i),this._container.setAttribute(\"aria-hidden\",\"true\")}_destroyUI(){this._container&&(o.remove(this._container),this._map.getCanvasContainer().classList.remove(\"maplibregl-cooperative-gestures\")),delete this._container}enable(){this._setupUI(),this._enabled=!0}disable(){this._enabled=!1,this._destroyUI()}isEnabled(){return this._enabled}isBypassed(t){return t[this._bypassKey]}notifyGestureBlocked(t,r){this._enabled&&(this._map.fire(new e.k(\"cooperativegestureprevented\",{gestureType:t,originalEvent:r})),this._container.classList.add(\"maplibregl-show\"),setTimeout((()=>{this._container.classList.remove(\"maplibregl-show\")}),100))}}const ki=t=>t.zoom||t.drag||t.pitch||t.rotate;class Ai extends e.k{}function Mi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}class Si{constructor(t,e){this.handleWindowEvent=t=>{this.handleEvent(t,`${t.type}Window`)},this.handleEvent=(t,e)=>{if(\"blur\"===t.type)return void this.stop(!0);this._updatingCamera=!0;const r=\"renderFrame\"===t.type?void 0:t,n={needsRenderFrame:!1},i={},a={},s=t.touches,l=s?this._getMapTouches(s):void 0,c=l?o.touchPos(this._map.getCanvas(),l):o.mousePos(this._map.getCanvas(),t);for(const{handlerName:o,handler:s,allowed:u}of this._handlers){if(!s.isEnabled())continue;let h;this._blockedByActive(a,u,o)?s.reset():s[e||t.type]&&(h=s[e||t.type](t,c,l),this.mergeHandlerResult(n,i,h,o,r),h&&h.needsRenderFrame&&this._triggerRenderFrame()),(h||s.isActive())&&(a[o]=s)}const u={};for(const t in this._previousActiveHandlers)a[t]||(u[t]=r);this._previousActiveHandlers=a,(Object.keys(u).length||Mi(n))&&(this._changes.push([n,i,u]),this._triggerRenderFrame()),(Object.keys(a).length||Mi(n))&&this._map._stop(!0),this._updatingCamera=!1;const{cameraAnimation:h}=n;h&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],h(this._map))},this._map=t,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Rn(t),this._bearingSnap=e.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(e);const r=this._el;this._listeners=[[r,\"touchstart\",{passive:!0}],[r,\"touchmove\",{passive:!1}],[r,\"touchend\",void 0],[r,\"touchcancel\",void 0],[r,\"mousedown\",void 0],[r,\"mousemove\",void 0],[r,\"mouseup\",void 0],[document,\"mousemove\",{capture:!0}],[document,\"mouseup\",void 0],[r,\"mouseover\",void 0],[r,\"mouseout\",void 0],[r,\"dblclick\",void 0],[r,\"click\",void 0],[r,\"keydown\",{capture:!1}],[r,\"keyup\",void 0],[r,\"wheel\",{passive:!1}],[r,\"contextmenu\",void 0],[window,\"blur\",void 0]];for(const[t,e,r]of this._listeners)o.addEventListener(t,e,t===document?this.handleWindowEvent:this.handleEvent,r)}destroy(){for(const[t,e,r]of this._listeners)o.removeEventListener(t,e,t===document?this.handleWindowEvent:this.handleEvent,r)}_addDefaultHandlers(t){const e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Vn(e,t));const n=e.boxZoom=new Gn(e,t);this._add(\"boxZoom\",n),t.interactive&&t.boxZoom&&n.enable();const i=e.cooperativeGestures=new Ti(e,t.cooperativeGestures);this._add(\"cooperativeGestures\",i),t.cooperativeGestures&&i.enable();const a=new Xn(e),s=new vi(e);e.doubleClickZoom=new yi(s,a),this._add(\"tapZoom\",a),this._add(\"clickZoom\",s),t.interactive&&t.doubleClickZoom&&e.doubleClickZoom.enable();const l=new xi;this._add(\"tapDragZoom\",l);const c=e.touchPitch=new hi(e);this._add(\"touchPitch\",c),t.interactive&&t.touchPitch&&e.touchPitch.enable(t.touchPitch);const u=ei(t),h=ri(t);e.dragRotate=new bi(t,u,h),this._add(\"mouseRotate\",u,[\"mousePitch\"]),this._add(\"mousePitch\",h,[\"mouseRotate\"]),t.interactive&&t.dragRotate&&e.dragRotate.enable();const f=(({enable:t,clickTolerance:e})=>{const r=new Kn({checkCorrectEvent:t=>0===o.mouseButton(t)&&!t.ctrlKey});return new $n({clickTolerance:e,move:(t,e)=>({around:e,panDelta:e.sub(t)}),activateOnStart:!0,moveStateManager:r,enable:t,assignEvents:ti})})(t),p=new ni(t,e);e.dragPan=new _i(r,f,p),this._add(\"mousePan\",f),this._add(\"touchPan\",p,[\"touchZoom\",\"touchRotate\"]),t.interactive&&t.dragPan&&e.dragPan.enable(t.dragPan);const d=new ci,m=new si;e.touchZoomRotate=new wi(r,m,d,l),this._add(\"touchRotate\",d,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",m,[\"touchPan\",\"touchRotate\"]),t.interactive&&t.touchZoomRotate&&e.touchZoomRotate.enable(t.touchZoomRotate);const g=e.scrollZoom=new gi(e,(()=>this._triggerRenderFrame()));this._add(\"scrollZoom\",g,[\"mousePan\"]),t.interactive&&t.scrollZoom&&e.scrollZoom.enable(t.scrollZoom);const y=e.keyboard=new pi(e);this._add(\"keyboard\",y),t.interactive&&t.keyboard&&e.keyboard.enable(),this._add(\"blockableMapEvent\",new qn(e))}_add(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e}stop(t){if(!this._updatingCamera){for(const{handler:t}of this._handlers)t.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}}isActive(){for(const{handler:t}of this._handlers)if(t.isActive())return!0;return!1}isZooming(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()}isRotating(){return!!this._eventsInProgress.rotate}isMoving(){return Boolean(ki(this._eventsInProgress))||this.isZooming()}_blockedByActive(t,e,r){for(const n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1}_getMapTouches(t){const e=[];for(const r of t){const t=r.target;this._el.contains(t)&&e.push(r)}return e}mergeHandlerResult(t,r,n,i,a){if(!n)return;e.e(t,n);const o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}_applyChanges(){const t={},r={},n={};for(const[i,a,o]of this._changes)i.panDelta&&(t.panDelta=(t.panDelta||new e.P(0,0))._add(i.panDelta)),i.zoomDelta&&(t.zoomDelta=(t.zoomDelta||0)+i.zoomDelta),i.bearingDelta&&(t.bearingDelta=(t.bearingDelta||0)+i.bearingDelta),i.pitchDelta&&(t.pitchDelta=(t.pitchDelta||0)+i.pitchDelta),void 0!==i.around&&(t.around=i.around),void 0!==i.pinchAround&&(t.pinchAround=i.pinchAround),i.noInertia&&(t.noInertia=i.noInertia),e.e(r,a),e.e(n,o);this._updateMapTransform(t,r,n),this._changes=[]}_updateMapTransform(t,e,r){const n=this._map,i=n._getTransformForUpdate(),a=n.terrain;if(!(Mi(t)||a&&this._terrainMovement))return this._fireEvents(e,r,!0);let{panDelta:o,zoomDelta:s,bearingDelta:l,pitchDelta:c,around:u,pinchAround:h}=t;void 0!==h&&(u=h),n._stop(!0),u=u||n.transform.centerPoint;const f=i.pointLocation(o?u.sub(o):u);l&&(i.bearing+=l),c&&(i.pitch+=c),s&&(i.zoom+=s),a?this._terrainMovement||!e.drag&&!e.zoom?e.drag&&this._terrainMovement?i.center=i.pointLocation(i.centerPoint.sub(o)):i.setLocationAtPoint(f,u):(this._terrainMovement=!0,this._map._elevationFreeze=!0,i.setLocationAtPoint(f,u)):i.setLocationAtPoint(f,u),n._applyUpdatedTransform(i),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,!0)}_fireEvents(t,r,n){const i=ki(this._eventsInProgress),o=ki(t),s={};for(const e in t){const{originalEvent:r}=t[e];this._eventsInProgress[e]||(s[`${e}start`]=r),this._eventsInProgress[e]=t[e]}!i&&o&&this._fireEvent(\"movestart\",o.originalEvent);for(const t in s)this._fireEvent(t,s[t]);o&&this._fireEvent(\"move\",o.originalEvent);for(const e in t){const{originalEvent:r}=t[e];this._fireEvent(e,r)}const l={};let c;for(const t in this._eventsInProgress){const{handlerName:e,originalEvent:n}=this._eventsInProgress[t];this._handlersById[e].isActive()||(delete this._eventsInProgress[t],c=r[e]||n,l[`${t}end`]=c)}for(const t in l)this._fireEvent(t,l[t]);const u=ki(this._eventsInProgress),h=(i||o)&&!u;if(h&&this._terrainMovement){this._map._elevationFreeze=!1,this._terrainMovement=!1;const t=this._map._getTransformForUpdate();t.recalculateZoom(this._map.terrain),this._map._applyUpdatedTransform(t)}if(n&&h){this._updatingCamera=!0;const t=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),r=t=>0!==t&&-this._bearingSnap<t&&t<this._bearingSnap;!t||!t.essential&&a.prefersReducedMotion?(this._map.fire(new e.k(\"moveend\",{originalEvent:c})),r(this._map.getBearing())&&this._map.resetNorth()):(r(t.bearing||this._map.getBearing())&&(t.bearing=0),t.freezeElevation=!0,this._map.easeTo(t,{originalEvent:c})),this._updatingCamera=!1}}_fireEvent(t,r){this._map.fire(new e.k(t,r?{originalEvent:r}:{}))}_requestFrame(){return this._map.triggerRepaint(),this._map._renderTaskQueue.add((t=>{delete this._frameId,this.handleEvent(new Ai(\"renderFrame\",{timeStamp:t})),this._applyChanges()}))}_triggerRenderFrame(){void 0===this._frameId&&(this._frameId=this._requestFrame())}}class Ei extends e.E{constructor(t,e){super(),this._renderFrameCallback=()=>{const t=Math.min((a.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(t)),t<1&&this._easeFrameId?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},this._moving=!1,this._zooming=!1,this.transform=t,this._bearingSnap=e.bearingSnap,this.on(\"moveend\",(()=>{delete this._requestedCameraState}))}getCenter(){return new e.N(this.transform.center.lng,this.transform.center.lat)}setCenter(t,e){return this.jumpTo({center:t},e)}panBy(t,r,n){return t=e.P.convert(t).mult(-1),this.panTo(this.transform.center,e.e({offset:t},r),n)}panTo(t,r,n){return this.easeTo(e.e({center:t},r),n)}getZoom(){return this.transform.zoom}setZoom(t,e){return this.jumpTo({zoom:t},e),this}zoomTo(t,r,n){return this.easeTo(e.e({zoom:t},r),n)}zoomIn(t,e){return this.zoomTo(this.getZoom()+1,t,e),this}zoomOut(t,e){return this.zoomTo(this.getZoom()-1,t,e),this}getBearing(){return this.transform.bearing}setBearing(t,e){return this.jumpTo({bearing:t},e),this}getPadding(){return this.transform.padding}setPadding(t,e){return this.jumpTo({padding:t},e),this}rotateTo(t,r,n){return this.easeTo(e.e({bearing:t},r),n)}resetNorth(t,r){return this.rotateTo(0,e.e({duration:1e3},t),r),this}resetNorthPitch(t,r){return this.easeTo(e.e({bearing:0,pitch:0,duration:1e3},t),r),this}snapToNorth(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this}getPitch(){return this.transform.pitch}setPitch(t,e){return this.jumpTo({pitch:t},e),this}cameraForBounds(t,e){t=X.convert(t);const r=e&&e.bearing||0;return this._cameraForBoxAndBearing(t.getNorthWest(),t.getSouthEast(),r,e)}_cameraForBoxAndBearing(t,r,n,i){const a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=e.e({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){const t=i.padding;i.padding={top:t,bottom:t,right:t,left:t}}i.padding=e.e(a,i.padding);const o=this.transform,s=o.padding,l=new X(t,r),c=o.project(l.getNorthWest()),u=o.project(l.getNorthEast()),h=o.project(l.getSouthEast()),f=o.project(l.getSouthWest()),p=e.ba(-n),d=c.rotate(p),m=u.rotate(p),g=h.rotate(p),y=f.rotate(p),v=new e.P(Math.max(d.x,m.x,y.x,g.x),Math.max(d.y,m.y,y.y,g.y)),x=new e.P(Math.min(d.x,m.x,y.x,g.x),Math.min(d.y,m.y,y.y,g.y)),_=v.sub(x),b=(o.width-(s.left+s.right+i.padding.left+i.padding.right))/_.x,w=(o.height-(s.top+s.bottom+i.padding.top+i.padding.bottom))/_.y;if(w<0||b<0)return void e.w(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\");const T=Math.min(o.scaleZoom(o.scale*Math.min(b,w)),i.maxZoom),k=e.P.convert(i.offset),A=(i.padding.left-i.padding.right)/2,M=(i.padding.top-i.padding.bottom)/2,S=new e.P(A,M).rotate(e.ba(n)),E=k.add(S).mult(o.scale/o.zoomScale(T));return{center:o.unproject(c.add(h).div(2).sub(E)),zoom:T,bearing:n}}fitBounds(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)}fitScreenCoordinates(t,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(e.P.convert(t)),this.transform.pointLocation(e.P.convert(r)),n,i),i,a)}_fitInternal(t,r,n){return t?(delete(r=e.e(t,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this}jumpTo(t,r){this.stop();const n=this._getTransformForUpdate();let i=!1,a=!1,o=!1;return\"zoom\"in t&&n.zoom!==+t.zoom&&(i=!0,n.zoom=+t.zoom),void 0!==t.center&&(n.center=e.N.convert(t.center)),\"bearing\"in t&&n.bearing!==+t.bearing&&(a=!0,n.bearing=+t.bearing),\"pitch\"in t&&n.pitch!==+t.pitch&&(o=!0,n.pitch=+t.pitch),null==t.padding||n.isPaddingEqual(t.padding)||(n.padding=t.padding),this._applyUpdatedTransform(n),this.fire(new e.k(\"movestart\",r)).fire(new e.k(\"move\",r)),i&&this.fire(new e.k(\"zoomstart\",r)).fire(new e.k(\"zoom\",r)).fire(new e.k(\"zoomend\",r)),a&&this.fire(new e.k(\"rotatestart\",r)).fire(new e.k(\"rotate\",r)).fire(new e.k(\"rotateend\",r)),o&&this.fire(new e.k(\"pitchstart\",r)).fire(new e.k(\"pitch\",r)).fire(new e.k(\"pitchend\",r)),this.fire(new e.k(\"moveend\",r))}calculateCameraOptionsFromTo(t,r,n,i=0){const a=e.Z.fromLngLat(t,r),o=e.Z.fromLngLat(n,i),s=o.x-a.x,l=o.y-a.y,c=o.z-a.z,u=Math.hypot(s,l,c);if(0===u)throw new Error(\"Can't calculate camera options with same From and To\");const h=Math.hypot(s,l),f=this.transform.scaleZoom(this.transform.cameraToCenterDistance/u/this.transform.tileSize),p=180*Math.atan2(s,-l)/Math.PI;let d=180*Math.acos(h/u)/Math.PI;return d=c<0?90-d:90+d,{center:o.toLngLat(),zoom:f,pitch:d,bearing:p}}easeTo(t,r){var n;this._stop(!1,t.easeId),(!1===(t=e.e({offset:[0,0],duration:500,easing:e.b9},t)).animate||!t.essential&&a.prefersReducedMotion)&&(t.duration=0);const i=this._getTransformForUpdate(),o=i.zoom,s=i.bearing,l=i.pitch,c=i.padding,u=\"bearing\"in t?this._normalizeBearing(t.bearing,s):s,h=\"pitch\"in t?+t.pitch:l,f=\"padding\"in t?t.padding:i.padding,p=e.P.convert(t.offset);let d=i.centerPoint.add(p);const m=i.pointLocation(d),{center:g,zoom:y}=i.getConstrained(e.N.convert(t.center||m),null!==(n=t.zoom)&&void 0!==n?n:o);this._normalizeCenter(g,i);const v=i.project(m),x=i.project(g).sub(v),_=i.zoomScale(y-o);let b,w;t.around&&(b=e.N.convert(t.around),w=i.locationPoint(b));const T={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||y!==o,this._rotating=this._rotating||s!==u,this._pitching=this._pitching||h!==l,this._padding=!i.isPaddingEqual(f),this._easeId=t.easeId,this._prepareEase(r,t.noMoveStart,T),this.terrain&&this._prepareElevation(g),this._ease((n=>{if(this._zooming&&(i.zoom=e.z.number(o,y,n)),this._rotating&&(i.bearing=e.z.number(s,u,n)),this._pitching&&(i.pitch=e.z.number(l,h,n)),this._padding&&(i.interpolatePadding(c,f,n),d=i.centerPoint.add(p)),this.terrain&&!t.freezeElevation&&this._updateElevation(n),b)i.setLocationAtPoint(b,w);else{const t=i.zoomScale(i.zoom-o),e=y>o?Math.min(2,_):Math.max(.5,_),r=Math.pow(e,1-n),a=i.unproject(v.add(x.mult(n*r)).mult(t));i.setLocationAtPoint(i.renderWorldCopies?a.wrap():a,d)}this._applyUpdatedTransform(i),this._fireMoveEvents(r)}),(e=>{this.terrain&&t.freezeElevation&&this._finalizeElevation(),this._afterEase(r,e)}),t),this}_prepareEase(t,r,n={}){this._moving=!0,r||n.moving||this.fire(new e.k(\"movestart\",t)),this._zooming&&!n.zooming&&this.fire(new e.k(\"zoomstart\",t)),this._rotating&&!n.rotating&&this.fire(new e.k(\"rotatestart\",t)),this._pitching&&!n.pitching&&this.fire(new e.k(\"pitchstart\",t))}_prepareElevation(t){this._elevationCenter=t,this._elevationStart=this.transform.elevation,this._elevationTarget=this.terrain.getElevationForLngLatZoom(t,this.transform.tileZoom),this._elevationFreeze=!0}_updateElevation(t){this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);const r=this.terrain.getElevationForLngLatZoom(this._elevationCenter,this.transform.tileZoom);if(t<1&&r!==this._elevationTarget){const e=this._elevationTarget-this._elevationStart,n=(r-(e*t+this._elevationStart))/(1-t);this._elevationStart+=t*(e-n),this._elevationTarget=r}this.transform.elevation=e.z.number(this._elevationStart,this._elevationTarget,t)}_finalizeElevation(){this._elevationFreeze=!1,this.transform.recalculateZoom(this.terrain)}_getTransformForUpdate(){return this.transformCameraUpdate||this.terrain?(this._requestedCameraState||(this._requestedCameraState=this.transform.clone()),this._requestedCameraState):this.transform}_elevateCameraIfInsideTerrain(t){const e=t.getCameraPosition(),r=this.terrain.getElevationForLngLatZoom(e.lngLat,t.zoom);if(e.altitude<r){const n=this.calculateCameraOptionsFromTo(e.lngLat,r,t.center,t.elevation);return{pitch:n.pitch,zoom:n.zoom}}return{}}_applyUpdatedTransform(t){const e=[];if(this.terrain&&e.push((t=>this._elevateCameraIfInsideTerrain(t))),this.transformCameraUpdate&&e.push((t=>this.transformCameraUpdate(t))),!e.length)return;const r=t.clone();for(const t of e){const e=r.clone(),{center:n,zoom:i,pitch:a,bearing:o,elevation:s}=t(e);n&&(e.center=n),void 0!==i&&(e.zoom=i),void 0!==a&&(e.pitch=a),void 0!==o&&(e.bearing=o),void 0!==s&&(e.elevation=s),r.apply(e)}this.transform.apply(r)}_fireMoveEvents(t){this.fire(new e.k(\"move\",t)),this._zooming&&this.fire(new e.k(\"zoom\",t)),this._rotating&&this.fire(new e.k(\"rotate\",t)),this._pitching&&this.fire(new e.k(\"pitch\",t))}_afterEase(t,r){if(this._easeId&&r&&this._easeId===r)return;delete this._easeId;const n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new e.k(\"zoomend\",t)),i&&this.fire(new e.k(\"rotateend\",t)),a&&this.fire(new e.k(\"pitchend\",t)),this.fire(new e.k(\"moveend\",t))}flyTo(t,r){var n;if(!t.essential&&a.prefersReducedMotion){const n=e.M(t,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(n,r)}this.stop(),t=e.e({offset:[0,0],speed:1.2,curve:1.42,easing:e.b9},t);const i=this._getTransformForUpdate(),o=i.zoom,s=i.bearing,l=i.pitch,c=i.padding,u=\"bearing\"in t?this._normalizeBearing(t.bearing,s):s,h=\"pitch\"in t?+t.pitch:l,f=\"padding\"in t?t.padding:i.padding,p=e.P.convert(t.offset);let d=i.centerPoint.add(p);const m=i.pointLocation(d),{center:g,zoom:y}=i.getConstrained(e.N.convert(t.center||m),null!==(n=t.zoom)&&void 0!==n?n:o);this._normalizeCenter(g,i);const v=i.zoomScale(y-o),x=i.project(m),_=i.project(g).sub(x);let b=t.curve;const w=Math.max(i.width,i.height),T=w/v,k=_.mag();if(\"minZoom\"in t){const r=e.ad(Math.min(t.minZoom,o,y),i.minZoom,i.maxZoom),n=w/i.zoomScale(r-o);b=Math.sqrt(n/k*2)}const A=b*b;function M(t){const e=(T*T-w*w+(t?-1:1)*A*A*k*k)/(2*(t?T:w)*A*k);return Math.log(Math.sqrt(e*e+1)-e)}function S(t){return(Math.exp(t)-Math.exp(-t))/2}function E(t){return(Math.exp(t)+Math.exp(-t))/2}const C=M(!1);let L=function(t){return E(C)/E(C+b*t)},I=function(t){return w*((E(C)*(S(e=C+b*t)/E(e))-S(C))/A)/k;var e},P=(M(!0)-C)/b;if(Math.abs(k)<1e-6||!isFinite(P)){if(Math.abs(w-T)<1e-6)return this.easeTo(t,r);const e=T<w?-1:1;P=Math.abs(Math.log(T/w))/b,I=()=>0,L=t=>Math.exp(e*b*t)}if(\"duration\"in t)t.duration=+t.duration;else{const e=\"screenSpeed\"in t?+t.screenSpeed/b:+t.speed;t.duration=1e3*P/e}return t.maxDuration&&t.duration>t.maxDuration&&(t.duration=0),this._zooming=!0,this._rotating=s!==u,this._pitching=h!==l,this._padding=!i.isPaddingEqual(f),this._prepareEase(r,!1),this.terrain&&this._prepareElevation(g),this._ease((n=>{const a=n*P,m=1/L(a);i.zoom=1===n?y:o+i.scaleZoom(m),this._rotating&&(i.bearing=e.z.number(s,u,n)),this._pitching&&(i.pitch=e.z.number(l,h,n)),this._padding&&(i.interpolatePadding(c,f,n),d=i.centerPoint.add(p)),this.terrain&&!t.freezeElevation&&this._updateElevation(n);const v=1===n?g:i.unproject(x.add(_.mult(I(a))).mult(m));i.setLocationAtPoint(i.renderWorldCopies?v.wrap():v,d),this._applyUpdatedTransform(i),this._fireMoveEvents(r)}),(()=>{this.terrain&&t.freezeElevation&&this._finalizeElevation(),this._afterEase(r)}),t),this}isEasing(){return!!this._easeFrameId}stop(){return this._stop()}_stop(t,e){var r;if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){const t=this._onEaseEnd;delete this._onEaseEnd,t.call(this,e)}return t||null===(r=this.handlers)||void 0===r||r.stop(!1),this}_ease(t,e,r){!1===r.animate||0===r.duration?(t(1),e()):(this._easeStart=a.now(),this._easeOptions=r,this._onEaseFrame=t,this._onEaseEnd=e,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))}_normalizeBearing(t,r){t=e.b3(t,-180,180);const n=Math.abs(t-r);return Math.abs(t-360-r)<n&&(t-=360),Math.abs(t+360-r)<n&&(t+=360),t}_normalizeCenter(t,e){if(!e.renderWorldCopies||e.lngRange)return;const r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}queryTerrainElevation(t){return this.terrain?this.terrain.getElevationForLngLatZoom(e.N.convert(t),this.transform.tileZoom)-this.transform.elevation:null}}const Ci={compact:!0,customAttribution:'<a href=\"https://maplibre.org/\" target=\"_blank\">MapLibre</a>'};class Li{constructor(t=Ci){this._toggleAttribution=()=>{this._container.classList.contains(\"maplibregl-compact\")&&(this._container.classList.contains(\"maplibregl-compact-show\")?(this._container.setAttribute(\"open\",\"\"),this._container.classList.remove(\"maplibregl-compact-show\")):(this._container.classList.add(\"maplibregl-compact-show\"),this._container.removeAttribute(\"open\")))},this._updateData=t=>{!t||\"metadata\"!==t.sourceDataType&&\"visibility\"!==t.sourceDataType&&\"style\"!==t.dataType&&\"terrain\"!==t.type||this._updateAttributions()},this._updateCompact=()=>{this._map.getCanvasContainer().offsetWidth<=640||this._compact?!1===this._compact?this._container.setAttribute(\"open\",\"\"):this._container.classList.contains(\"maplibregl-compact\")||this._container.classList.contains(\"maplibregl-attrib-empty\")||(this._container.setAttribute(\"open\",\"\"),this._container.classList.add(\"maplibregl-compact\",\"maplibregl-compact-show\")):(this._container.setAttribute(\"open\",\"\"),this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.remove(\"maplibregl-compact\",\"maplibregl-compact-show\"))},this._updateCompactMinimize=()=>{this._container.classList.contains(\"maplibregl-compact\")&&this._container.classList.contains(\"maplibregl-compact-show\")&&this._container.classList.remove(\"maplibregl-compact-show\")},this.options=t}getDefaultPosition(){return\"bottom-right\"}onAdd(t){return this._map=t,this._compact=this.options.compact,this._container=o.create(\"details\",\"maplibregl-ctrl maplibregl-ctrl-attrib\"),this._compactButton=o.create(\"summary\",\"maplibregl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=o.create(\"div\",\"maplibregl-ctrl-attrib-inner\",this._container),this._updateAttributions(),this._updateCompact(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"terrain\",this._updateData),this._map.on(\"resize\",this._updateCompact),this._map.on(\"drag\",this._updateCompactMinimize),this._container}onRemove(){o.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"terrain\",this._updateData),this._map.off(\"resize\",this._updateCompact),this._map.off(\"drag\",this._updateCompactMinimize),this._map=void 0,this._compact=void 0,this._attribHTML=void 0}_setElementTitle(t,e){const r=this._map._getUIString(`AttributionControl.${e}`);t.title=r,t.setAttribute(\"aria-label\",r)}_updateAttributions(){if(!this._map.style)return;let t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((t=>\"string\"!=typeof t?\"\":t))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){const t=this._map.style.stylesheet;this.styleOwner=t.owner,this.styleId=t.id}const e=this._map.style.sourceCaches;for(const r in e){const n=e[r];if(n.used||n.usedForTerrain){const e=n.getSource();e.attribution&&t.indexOf(e.attribution)<0&&t.push(e.attribution)}}t=t.filter((t=>String(t).trim())),t.sort(((t,e)=>t.length-e.length)),t=t.filter(((e,r)=>{for(let n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}));const r=t.join(\" | \");r!==this._attribHTML&&(this._attribHTML=r,t.length?(this._innerContainer.innerHTML=r,this._container.classList.remove(\"maplibregl-attrib-empty\")):this._container.classList.add(\"maplibregl-attrib-empty\"),this._updateCompact(),this._editLink=null)}}class Ii{constructor(t={}){this._updateCompact=()=>{const t=this._container.children;if(t.length){const e=t[0];this._map.getCanvasContainer().offsetWidth<=640||this._compact?!1!==this._compact&&e.classList.add(\"maplibregl-compact\"):e.classList.remove(\"maplibregl-compact\")}},this.options=t}getDefaultPosition(){return\"bottom-left\"}onAdd(t){this._map=t,this._compact=this.options&&this.options.compact,this._container=o.create(\"div\",\"maplibregl-ctrl\");const e=o.create(\"a\",\"maplibregl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://maplibre.org/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"block\",this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container}onRemove(){o.remove(this._container),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._compact=void 0}}class Pi{constructor(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1}add(t){const e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e}remove(t){const e=this._currentlyRunning,r=e?this._queue.concat(e):this._queue;for(const e of r)if(e.id===t)return void(e.cancelled=!0)}run(t=0){if(this._currentlyRunning)throw new Error(\"Attempting to run(), but is already running.\");const e=this._currentlyRunning=this._queue;this._queue=[];for(const r of e)if(!r.cancelled&&(r.callback(t),this._cleared))break;this._cleared=!1,this._currentlyRunning=!1}clear(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]}}var zi=e.Y([{name:\"a_pos3d\",type:\"Int16\",components:3}]);class Oi extends e.E{constructor(t){super(),this.sourceCache=t,this._tiles={},this._renderableTilesKeys=[],this._sourceTileCache={},this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.deltaZoom=1,t.usedForTerrain=!0,t.tileSize=this.tileSize*2**this.deltaZoom}destruct(){this.sourceCache.usedForTerrain=!1,this.sourceCache.tileSize=null}update(t,r){this.sourceCache.update(t,r),this._renderableTilesKeys=[];const n={};for(const i of t.coveringTiles({tileSize:this.tileSize,minzoom:this.minzoom,maxzoom:this.maxzoom,reparseOverscaled:!1,terrain:r}))n[i.key]=!0,this._renderableTilesKeys.push(i.key),this._tiles[i.key]||(i.posMatrix=new Float64Array(16),e.aQ(i.posMatrix,0,e.X,0,e.X,0,1),this._tiles[i.key]=new ht(i,this.tileSize));for(const t in this._tiles)n[t]||delete this._tiles[t]}freeRtt(t){for(const e in this._tiles){const r=this._tiles[e];(!t||r.tileID.equals(t)||r.tileID.isChildOf(t)||t.isChildOf(r.tileID))&&(r.rtt=[])}}getRenderableTiles(){return this._renderableTilesKeys.map((t=>this.getTileByID(t)))}getTileByID(t){return this._tiles[t]}getTerrainCoords(t){const r={};for(const n of this._renderableTilesKeys){const i=this._tiles[n].tileID;if(i.canonical.equals(t.canonical)){const i=t.clone();i.posMatrix=new Float64Array(16),e.aQ(i.posMatrix,0,e.X,0,e.X,0,1),r[n]=i}else if(i.canonical.isChildOf(t.canonical)){const a=t.clone();a.posMatrix=new Float64Array(16);const o=i.canonical.z-t.canonical.z,s=i.canonical.x-(i.canonical.x>>o<<o),l=i.canonical.y-(i.canonical.y>>o<<o),c=e.X>>o;e.aQ(a.posMatrix,0,c,0,c,0,1),e.J(a.posMatrix,a.posMatrix,[-s*c,-l*c,0]),r[n]=a}else if(t.canonical.isChildOf(i.canonical)){const a=t.clone();a.posMatrix=new Float64Array(16);const o=t.canonical.z-i.canonical.z,s=t.canonical.x-(t.canonical.x>>o<<o),l=t.canonical.y-(t.canonical.y>>o<<o),c=e.X>>o;e.aQ(a.posMatrix,0,e.X,0,e.X,0,1),e.J(a.posMatrix,a.posMatrix,[s*c,l*c,0]),e.K(a.posMatrix,a.posMatrix,[1/2**o,1/2**o,0]),r[n]=a}}return r}getSourceTile(t,e){const r=this.sourceCache._source;let n=t.overscaledZ-this.deltaZoom;if(n>r.maxzoom&&(n=r.maxzoom),n<r.minzoom)return null;this._sourceTileCache[t.key]||(this._sourceTileCache[t.key]=t.scaledTo(n).key);let i=this.sourceCache.getTileByID(this._sourceTileCache[t.key]);if((!i||!i.dem)&&e)for(;n>=r.minzoom&&(!i||!i.dem);)i=this.sourceCache.getTileByID(t.scaledTo(n--).key);return i}tilesAfterTime(t=Date.now()){return Object.values(this._tiles).filter((e=>e.timeAdded>=t))}}class Di{constructor(t,e,r){this.painter=t,this.sourceCache=new Oi(e),this.options=r,this.exaggeration=\"number\"==typeof r.exaggeration?r.exaggeration:1,this.qualityFactor=2,this.meshSize=128,this._demMatrixCache={},this.coordsIndex=[],this._coordsTextureSize=1024}getDEMElevation(t,r,n,i=e.X){var a;if(!(r>=0&&r<i&&n>=0&&n<i))return 0;const o=this.getTerrainData(t),s=null===(a=o.tile)||void 0===a?void 0:a.dem;if(!s)return 0;const l=function(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t}([],[r/i*e.X,n/i*e.X],o.u_terrain_matrix),c=[l[0]*s.dim,l[1]*s.dim],u=Math.floor(c[0]),h=Math.floor(c[1]),f=c[0]-u,p=c[1]-h;return s.get(u,h)*(1-f)*(1-p)+s.get(u+1,h)*f*(1-p)+s.get(u,h+1)*(1-f)*p+s.get(u+1,h+1)*f*p}getElevationForLngLatZoom(t,r){const{tileID:n,mercatorX:i,mercatorY:a}=this._getOverscaledTileIDFromLngLatZoom(t,r);return this.getElevation(n,i%e.X,a%e.X,e.X)}getElevation(t,r,n,i=e.X){return this.getDEMElevation(t,r,n,i)*this.exaggeration}getTerrainData(t){if(!this._emptyDemTexture){const t=this.painter.context,r=new e.R({width:1,height:1},new Uint8Array(4));this._emptyDepthTexture=new w(t,r,t.gl.RGBA,{premultiply:!1}),this._emptyDemUnpack=[0,0,0,0],this._emptyDemTexture=new w(t,new e.R({width:1,height:1}),t.gl.RGBA,{premultiply:!1}),this._emptyDemTexture.bind(t.gl.NEAREST,t.gl.CLAMP_TO_EDGE),this._emptyDemMatrix=e.ao([])}const r=this.sourceCache.getSourceTile(t,!0);if(r&&r.dem&&(!r.demTexture||r.needsTerrainPrepare)){const t=this.painter.context;r.demTexture=this.painter.getTileTexture(r.dem.stride),r.demTexture?r.demTexture.update(r.dem.getPixels(),{premultiply:!1}):r.demTexture=new w(t,r.dem.getPixels(),t.gl.RGBA,{premultiply:!1}),r.demTexture.bind(t.gl.NEAREST,t.gl.CLAMP_TO_EDGE),r.needsTerrainPrepare=!1}const n=r&&r+r.tileID.key+t.key;if(n&&!this._demMatrixCache[n]){const n=this.sourceCache.sourceCache._source.maxzoom;let i=t.canonical.z-r.tileID.canonical.z;t.overscaledZ>t.canonical.z&&(t.canonical.z>=n?i=t.canonical.z-n:e.w(\"cannot calculate elevation if elevation maxzoom > source.maxzoom\"));const a=t.canonical.x-(t.canonical.x>>i<<i),o=t.canonical.y-(t.canonical.y>>i<<i),s=e.bb(new Float64Array(16),[1/(e.X<<i),1/(e.X<<i),0]);e.J(s,s,[a*e.X,o*e.X,0]),this._demMatrixCache[t.key]={matrix:s,coord:t}}return{u_depth:2,u_terrain:3,u_terrain_dim:r&&r.dem&&r.dem.dim||1,u_terrain_matrix:n?this._demMatrixCache[t.key].matrix:this._emptyDemMatrix,u_terrain_unpack:r&&r.dem&&r.dem.getUnpackVector()||this._emptyDemUnpack,u_terrain_exaggeration:this.exaggeration,texture:(r&&r.demTexture||this._emptyDemTexture).texture,depthTexture:(this._fboDepthTexture||this._emptyDepthTexture).texture,tile:r}}getFramebuffer(t){const e=this.painter,r=e.width/devicePixelRatio,n=e.height/devicePixelRatio;return!this._fbo||this._fbo.width===r&&this._fbo.height===n||(this._fbo.destroy(),this._fboCoordsTexture.destroy(),this._fboDepthTexture.destroy(),delete this._fbo,delete this._fboDepthTexture,delete this._fboCoordsTexture),this._fboCoordsTexture||(this._fboCoordsTexture=new w(e.context,{width:r,height:n,data:null},e.context.gl.RGBA,{premultiply:!1}),this._fboCoordsTexture.bind(e.context.gl.NEAREST,e.context.gl.CLAMP_TO_EDGE)),this._fboDepthTexture||(this._fboDepthTexture=new w(e.context,{width:r,height:n,data:null},e.context.gl.RGBA,{premultiply:!1}),this._fboDepthTexture.bind(e.context.gl.NEAREST,e.context.gl.CLAMP_TO_EDGE)),this._fbo||(this._fbo=e.context.createFramebuffer(r,n,!0,!1),this._fbo.depthAttachment.set(e.context.createRenderbuffer(e.context.gl.DEPTH_COMPONENT16,r,n))),this._fbo.colorAttachment.set(\"coords\"===t?this._fboCoordsTexture.texture:this._fboDepthTexture.texture),this._fbo}getCoordsTexture(){const t=this.painter.context;if(this._coordsTexture)return this._coordsTexture;const r=new Uint8Array(this._coordsTextureSize*this._coordsTextureSize*4);for(let t=0,e=0;t<this._coordsTextureSize;t++)for(let n=0;n<this._coordsTextureSize;n++,e+=4)r[e+0]=255&n,r[e+1]=255&t,r[e+2]=n>>8<<4|t>>8,r[e+3]=0;const n=new e.R({width:this._coordsTextureSize,height:this._coordsTextureSize},new Uint8Array(r.buffer)),i=new w(t,n,t.gl.RGBA,{premultiply:!1});return i.bind(t.gl.NEAREST,t.gl.CLAMP_TO_EDGE),this._coordsTexture=i,i}pointCoordinate(t){this.painter.maybeDrawDepthAndCoords(!0);const r=new Uint8Array(4),n=this.painter.context,i=n.gl,a=Math.round(t.x*this.painter.pixelRatio/devicePixelRatio),o=Math.round(t.y*this.painter.pixelRatio/devicePixelRatio),s=Math.round(this.painter.height/devicePixelRatio);n.bindFramebuffer.set(this.getFramebuffer(\"coords\").framebuffer),i.readPixels(a,s-o-1,1,1,i.RGBA,i.UNSIGNED_BYTE,r),n.bindFramebuffer.set(null);const l=r[0]+(r[2]>>4<<8),c=r[1]+((15&r[2])<<8),u=this.coordsIndex[255-r[3]],h=u&&this.sourceCache.getTileByID(u);if(!h)return null;const f=this._coordsTextureSize,p=(1<<h.tileID.canonical.z)*f;return new e.Z((h.tileID.canonical.x*f+l)/p+h.tileID.wrap,(h.tileID.canonical.y*f+c)/p,this.getElevation(h.tileID,l,c,f))}depthAtPoint(t){const e=new Uint8Array(4),r=this.painter.context,n=r.gl;return r.bindFramebuffer.set(this.getFramebuffer(\"depth\").framebuffer),n.readPixels(t.x,this.painter.height/devicePixelRatio-t.y-1,1,1,n.RGBA,n.UNSIGNED_BYTE,e),r.bindFramebuffer.set(null),(e[0]/16777216+e[1]/65536+e[2]/256+e[3])/256}getTerrainMesh(){if(this._mesh)return this._mesh;const t=this.painter.context,r=new e.bc,n=new e.aY,i=this.meshSize,a=e.X/i,o=i*i;for(let t=0;t<=i;t++)for(let e=0;e<=i;e++)r.emplaceBack(e*a,t*a,0);for(let t=0;t<o;t+=i+1)for(let e=0;e<i;e++)n.emplaceBack(e+t,i+e+t+1,i+e+t+2),n.emplaceBack(e+t,i+e+t+2,e+t+1);const s=r.length,l=s+2*(i+1);for(const t of[0,1])for(let n=0;n<=i;n++)for(const i of[0,1])r.emplaceBack(n*a,t*e.X,i);for(let t=0;t<2*i;t+=2)n.emplaceBack(l+t,l+t+1,l+t+3),n.emplaceBack(l+t,l+t+3,l+t+2),n.emplaceBack(s+t,s+t+3,s+t+1),n.emplaceBack(s+t,s+t+2,s+t+3);const c=r.length,u=c+2*(i+1);for(const t of[0,1])for(let n=0;n<=i;n++)for(const i of[0,1])r.emplaceBack(t*e.X,n*a,i);for(let t=0;t<2*i;t+=2)n.emplaceBack(c+t,c+t+1,c+t+3),n.emplaceBack(c+t,c+t+3,c+t+2),n.emplaceBack(u+t,u+t+3,u+t+1),n.emplaceBack(u+t,u+t+2,u+t+3);return this._mesh=new wn(t.createVertexBuffer(r,zi.members),t.createIndexBuffer(n),e.a0.simpleSegment(0,0,r.length,n.length)),this._mesh}getMeshFrameDelta(t){return 2*Math.PI*e.bd/Math.pow(2,t)/5}getMinTileElevationForLngLatZoom(t,e){var r;const{tileID:n}=this._getOverscaledTileIDFromLngLatZoom(t,e);return null!==(r=this.getMinMaxElevation(n).minElevation)&&void 0!==r?r:0}getMinMaxElevation(t){const e=this.getTerrainData(t).tile,r={minElevation:null,maxElevation:null};return e&&e.dem&&(r.minElevation=e.dem.min*this.exaggeration,r.maxElevation=e.dem.max*this.exaggeration),r}_getOverscaledTileIDFromLngLatZoom(t,r){const n=e.Z.fromLngLat(t.wrap()),i=(1<<r)*e.X,a=n.x*i,o=n.y*i,s=Math.floor(a/e.X),l=Math.floor(o/e.X);return{tileID:new e.S(r,0,r,s,l),mercatorX:a,mercatorY:o}}}class Ri{constructor(t,e,r){this._context=t,this._size=e,this._tileSize=r,this._objects=[],this._recentlyUsed=[],this._stamp=0}destruct(){for(const t of this._objects)t.texture.destroy(),t.fbo.destroy()}_createObject(t){const e=this._context.createFramebuffer(this._tileSize,this._tileSize,!0,!0),r=new w(this._context,{width:this._tileSize,height:this._tileSize,data:null},this._context.gl.RGBA);return r.bind(this._context.gl.LINEAR,this._context.gl.CLAMP_TO_EDGE),e.depthAttachment.set(this._context.createRenderbuffer(this._context.gl.DEPTH_STENCIL,this._tileSize,this._tileSize)),e.colorAttachment.set(r.texture),{id:t,fbo:e,texture:r,stamp:-1,inUse:!1}}getObjectForId(t){return this._objects[t]}useObject(t){t.inUse=!0,this._recentlyUsed=this._recentlyUsed.filter((e=>t.id!==e)),this._recentlyUsed.push(t.id)}stampObject(t){t.stamp=++this._stamp}getOrCreateFreeObject(){for(const t of this._recentlyUsed)if(!this._objects[t].inUse)return this._objects[t];if(this._objects.length>=this._size)throw new Error(\"No free RenderPool available, call freeAllObjects() required!\");const t=this._createObject(this._objects.length);return this._objects.push(t),t}freeObject(t){t.inUse=!1}freeAllObjects(){for(const t of this._objects)this.freeObject(t)}isFull(){return!(this._objects.length<this._size)&&!1===this._objects.some((t=>!t.inUse))}}const Fi={background:!0,fill:!0,line:!0,raster:!0,hillshade:!0};class Bi{constructor(t,e){this.painter=t,this.terrain=e,this.pool=new Ri(t.context,30,e.sourceCache.tileSize*e.qualityFactor)}destruct(){this.pool.destruct()}getTexture(t){return this.pool.getObjectForId(t.rtt[this._stacks.length-1].id).texture}prepareForRender(t,e){this._stacks=[],this._prevType=null,this._rttTiles=[],this._renderableTiles=this.terrain.sourceCache.getRenderableTiles(),this._renderableLayerIds=t._order.filter((r=>!t._layers[r].isHidden(e))),this._coordsDescendingInv={};for(const e in t.sourceCaches){this._coordsDescendingInv[e]={};const r=t.sourceCaches[e].getVisibleCoordinates();for(const t of r){const r=this.terrain.sourceCache.getTerrainCoords(t);for(const t in r)this._coordsDescendingInv[e][t]||(this._coordsDescendingInv[e][t]=[]),this._coordsDescendingInv[e][t].push(r[t])}}this._coordsDescendingInvStr={};for(const e of t._order){const r=t._layers[e],n=r.source;if(Fi[r.type]&&!this._coordsDescendingInvStr[n]){this._coordsDescendingInvStr[n]={};for(const t in this._coordsDescendingInv[n])this._coordsDescendingInvStr[n][t]=this._coordsDescendingInv[n][t].map((t=>t.key)).sort().join()}}for(const t of this._renderableTiles)for(const e in this._coordsDescendingInvStr){const r=this._coordsDescendingInvStr[e][t.tileID.key];r&&r!==t.rttCoords[e]&&(t.rtt=[])}}renderLayer(t){if(t.isHidden(this.painter.transform.zoom))return!1;const r=t.type,n=this.painter,i=this._renderableLayerIds[this._renderableLayerIds.length-1]===t.id;if(Fi[r]&&(this._prevType&&Fi[this._prevType]||this._stacks.push([]),this._prevType=r,this._stacks[this._stacks.length-1].push(t.id),!i))return!0;if(Fi[this._prevType]||Fi[r]&&i){this._prevType=r;const t=this._stacks.length-1,i=this._stacks[t]||[];for(const r of this._renderableTiles){if(this.pool.isFull()&&(bn(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects()),this._rttTiles.push(r),r.rtt[t]){const e=this.pool.getObjectForId(r.rtt[t].id);if(e.stamp===r.rtt[t].stamp){this.pool.useObject(e);continue}}const a=this.pool.getOrCreateFreeObject();this.pool.useObject(a),this.pool.stampObject(a),r.rtt[t]={id:a.id,stamp:a.stamp},n.context.bindFramebuffer.set(a.fbo.framebuffer),n.context.clear({color:e.aN.transparent,stencil:0}),n.currentStencilSource=void 0;for(let t=0;t<i.length;t++){const e=n.style._layers[i[t]],o=e.source?this._coordsDescendingInv[e.source][r.tileID.key]:[r.tileID];n.context.viewport.set([0,0,a.fbo.width,a.fbo.height]),n._renderTileClippingMasks(e,o),n.renderLayer(n,n.style.sourceCaches[e.source],e,o),e.source&&(r.rttCoords[e.source]=this._coordsDescendingInvStr[e.source][r.tileID.key])}}return bn(this.painter,this.terrain,this._rttTiles),this._rttTiles=[],this.pool.freeAllObjects(),Fi[r]}return!1}}const Ni={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"MapLibre logo\",\"Map.Title\":\"Map\",\"Marker.Title\":\"Map marker\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"Popup.Close\":\"Close popup\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\",\"TerrainControl.Enable\":\"Enable terrain\",\"TerrainControl.Disable\":\"Disable terrain\",\"CooperativeGesturesHandler.WindowsHelpText\":\"Use Ctrl + scroll to zoom the map\",\"CooperativeGesturesHandler.MacHelpText\":\"Use ⌘ + scroll to zoom the map\",\"CooperativeGesturesHandler.MobileHelpText\":\"Use two fingers to move the map\"},ji=r,Ui={hash:!1,interactive:!0,bearingSnap:7,attributionControl:Ci,maplibreLogo:!1,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,refreshExpiredTiles:!0,scrollZoom:!0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,cooperativeGestures:!1,trackResize:!0,center:[0,0],zoom:0,bearing:0,pitch:0,renderWorldCopies:!0,maxTileCacheSize:null,maxTileCacheZoomLevels:e.a.MAX_TILE_CACHE_ZOOM_LEVELS,transformRequest:null,transformCameraUpdate:null,fadeDuration:300,crossSourceCollisions:!0,clickTolerance:3,localIdeographFontFamily:\"sans-serif\",pitchWithRotate:!0,validateStyle:!0,maxCanvasSize:[4096,4096],cancelPendingTileRequestsWhileZooming:!0};const Vi=t=>{t.touchstart=t.dragStart,t.touchmoveWindow=t.dragMove,t.touchend=t.dragEnd},qi={showCompass:!0,showZoom:!0,visualizePitch:!1};class Hi{constructor(t,r,n=!1){this.mousedown=t=>{this.startMouse(e.e({},t,{ctrlKey:!0,preventDefault:()=>t.preventDefault()}),o.mousePos(this.element,t)),o.addEventListener(window,\"mousemove\",this.mousemove),o.addEventListener(window,\"mouseup\",this.mouseup)},this.mousemove=t=>{this.moveMouse(t,o.mousePos(this.element,t))},this.mouseup=t=>{this.mouseRotate.dragEnd(t),this.mousePitch&&this.mousePitch.dragEnd(t),this.offTemp()},this.touchstart=t=>{1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=o.touchPos(this.element,t.targetTouches)[0],this.startTouch(t,this._startPos),o.addEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),o.addEventListener(window,\"touchend\",this.touchend))},this.touchmove=t=>{1!==t.targetTouches.length?this.reset():(this._lastPos=o.touchPos(this.element,t.targetTouches)[0],this.moveTouch(t,this._lastPos))},this.touchend=t=>{0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),delete this._startPos,delete this._lastPos,this.offTemp()},this.reset=()=>{this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),this.touchRotate.reset(),this.touchPitch&&this.touchPitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()},this._clickTolerance=10;const i=t.dragRotate._mouseRotate.getClickTolerance(),a=t.dragRotate._mousePitch.getClickTolerance();this.element=r,this.mouseRotate=ei({clickTolerance:i,enable:!0}),this.touchRotate=(({enable:t,clickTolerance:e,bearingDegreesPerPixelMoved:r=.8})=>{const n=new Qn;return new $n({clickTolerance:e,move:(t,e)=>({bearingDelta:(e.x-t.x)*r}),moveStateManager:n,enable:t,assignEvents:Vi})})({clickTolerance:i,enable:!0}),this.map=t,n&&(this.mousePitch=ri({clickTolerance:a,enable:!0}),this.touchPitch=(({enable:t,clickTolerance:e,pitchDegreesPerPixelMoved:r=-.5})=>{const n=new Qn;return new $n({clickTolerance:e,move:(t,e)=>({pitchDelta:(e.y-t.y)*r}),moveStateManager:n,enable:t,assignEvents:Vi})})({clickTolerance:a,enable:!0})),o.addEventListener(r,\"mousedown\",this.mousedown),o.addEventListener(r,\"touchstart\",this.touchstart,{passive:!1}),o.addEventListener(r,\"touchcancel\",this.reset)}startMouse(t,e){this.mouseRotate.dragStart(t,e),this.mousePitch&&this.mousePitch.dragStart(t,e),o.disableDrag()}startTouch(t,e){this.touchRotate.dragStart(t,e),this.touchPitch&&this.touchPitch.dragStart(t,e),o.disableDrag()}moveMouse(t,e){const r=this.map,{bearingDelta:n}=this.mouseRotate.dragMove(t,e)||{};if(n&&r.setBearing(r.getBearing()+n),this.mousePitch){const{pitchDelta:n}=this.mousePitch.dragMove(t,e)||{};n&&r.setPitch(r.getPitch()+n)}}moveTouch(t,e){const r=this.map,{bearingDelta:n}=this.touchRotate.dragMove(t,e)||{};if(n&&r.setBearing(r.getBearing()+n),this.touchPitch){const{pitchDelta:n}=this.touchPitch.dragMove(t,e)||{};n&&r.setPitch(r.getPitch()+n)}}off(){const t=this.element;o.removeEventListener(t,\"mousedown\",this.mousedown),o.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),o.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),o.removeEventListener(window,\"touchend\",this.touchend),o.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()}offTemp(){o.enableDrag(),o.removeEventListener(window,\"mousemove\",this.mousemove),o.removeEventListener(window,\"mouseup\",this.mouseup),o.removeEventListener(window,\"touchmove\",this.touchmove,{passive:!1}),o.removeEventListener(window,\"touchend\",this.touchend)}}let Gi;function Zi(t,r,n){const i=new e.N(t.lng,t.lat);if(t=new e.N(t.lng,t.lat),r){const i=new e.N(t.lng-360,t.lat),a=new e.N(t.lng+360,t.lat),o=n.locationPoint(t).distSqr(r);n.locationPoint(i).distSqr(r)<o?t=i:n.locationPoint(a).distSqr(r)<o&&(t=a)}for(;Math.abs(t.lng-n.center.lng)>180;){const e=n.locationPoint(t);if(e.x>=0&&e.y>=0&&e.x<=n.width&&e.y<=n.height)break;t.lng>n.center.lng?t.lng-=360:t.lng+=360}return t.lng!==i.lng&&n.locationPoint(t).y>n.height/2-n.getHorizon()?t:i}const Wi={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 Yi(t,e,r){const n=t.classList;for(const t in Wi)n.remove(`maplibregl-${r}-anchor-${t}`);n.add(`maplibregl-${r}-anchor-${e}`)}class Xi extends e.E{constructor(t){if(super(),this._onKeyPress=t=>{const e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},this._onMapClick=t=>{const e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},this._update=t=>{var e;if(!this._map)return;const r=this._map.loaded()&&!this._map.isMoving();(\"terrain\"===(null==t?void 0:t.type)||\"render\"===(null==t?void 0:t.type)&&!r)&&this._map.once(\"render\",this._update),this._map.transform.renderWorldCopies?this._lngLat=Zi(this._lngLat,this._flatPos,this._map.transform):this._lngLat=null===(e=this._lngLat)||void 0===e?void 0:e.wrap(),this._flatPos=this._pos=this._map.project(this._lngLat)._add(this._offset),this._map.terrain&&(this._flatPos=this._map.transform.locationPoint(this._lngLat)._add(this._offset));let n=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?n=`rotateZ(${this._rotation}deg)`:\"map\"===this._rotationAlignment&&(n=`rotateZ(${this._rotation-this._map.getBearing()}deg)`);let i=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?i=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(i=`rotateX(${this._map.getPitch()}deg)`),this._subpixelPositioning||t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),o.setTransform(this._element,`${Wi[this._anchor]} translate(${this._pos.x}px, ${this._pos.y}px) ${i} ${n}`),a.frameAsync(new AbortController).then((()=>{this._updateOpacity(t&&\"moveend\"===t.type)})).catch((()=>{}))},this._onMove=t=>{if(!this._isDragging){const e=this._clickTolerance||this._map._clickTolerance;this._isDragging=t.point.dist(this._pointerdownPos)>=e}this._isDragging&&(this._pos=t.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 e.k(\"dragstart\"))),this.fire(new e.k(\"drag\")))},this._onUp=()=>{this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new e.k(\"dragend\")),this._state=\"inactive\"},this._addDragHandler=t=>{this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,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))},this._anchor=t&&t.anchor||\"center\",this._color=t&&t.color||\"#3FB1CE\",this._scale=t&&t.scale||1,this._draggable=t&&t.draggable||!1,this._clickTolerance=t&&t.clickTolerance||0,this._subpixelPositioning=t&&t.subpixelPositioning||!1,this._isDragging=!1,this._state=\"inactive\",this._rotation=t&&t.rotation||0,this._rotationAlignment=t&&t.rotationAlignment||\"auto\",this._pitchAlignment=t&&t.pitchAlignment&&\"auto\"!==t.pitchAlignment?t.pitchAlignment:this._rotationAlignment,this.setOpacity(),this.setOpacity(null==t?void 0:t.opacity,null==t?void 0:t.opacityWhenCovered),t&&t.element)this._element=t.element,this._offset=e.P.convert(t&&t.offset||[0,0]);else{this._defaultMarker=!0,this._element=o.create(\"div\");const r=o.createNS(\"http://www.w3.org/2000/svg\",\"svg\"),n=41,i=27;r.setAttributeNS(null,\"display\",\"block\"),r.setAttributeNS(null,\"height\",`${n}px`),r.setAttributeNS(null,\"width\",`${i}px`),r.setAttributeNS(null,\"viewBox\",`0 0 ${i} ${n}`);const a=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");a.setAttributeNS(null,\"stroke\",\"none\"),a.setAttributeNS(null,\"stroke-width\",\"1\"),a.setAttributeNS(null,\"fill\",\"none\"),a.setAttributeNS(null,\"fill-rule\",\"evenodd\");const s=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");const l=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");const c=[{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\"}];for(const t of c){const e=o.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");e.setAttributeNS(null,\"opacity\",\"0.04\"),e.setAttributeNS(null,\"cx\",\"10.5\"),e.setAttributeNS(null,\"cy\",\"5.80029008\"),e.setAttributeNS(null,\"rx\",t.rx),e.setAttributeNS(null,\"ry\",t.ry),l.appendChild(e)}const u=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");u.setAttributeNS(null,\"fill\",this._color);const h=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");h.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\"),u.appendChild(h);const f=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");f.setAttributeNS(null,\"opacity\",\"0.25\"),f.setAttributeNS(null,\"fill\",\"#000000\");const p=o.createNS(\"http://www.w3.org/2000/svg\",\"path\");p.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\"),f.appendChild(p);const d=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),d.setAttributeNS(null,\"fill\",\"#FFFFFF\");const m=o.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");const g=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");g.setAttributeNS(null,\"fill\",\"#000000\"),g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"cx\",\"5.5\"),g.setAttributeNS(null,\"cy\",\"5.5\"),g.setAttributeNS(null,\"r\",\"5.4999962\");const y=o.createNS(\"http://www.w3.org/2000/svg\",\"circle\");y.setAttributeNS(null,\"fill\",\"#FFFFFF\"),y.setAttributeNS(null,\"cx\",\"5.5\"),y.setAttributeNS(null,\"cy\",\"5.5\"),y.setAttributeNS(null,\"r\",\"5.4999962\"),m.appendChild(g),m.appendChild(y),s.appendChild(l),s.appendChild(u),s.appendChild(f),s.appendChild(d),s.appendChild(m),r.appendChild(s),r.setAttributeNS(null,\"height\",n*this._scale+\"px\"),r.setAttributeNS(null,\"width\",i*this._scale+\"px\"),this._element.appendChild(r),this._offset=e.P.convert(t&&t.offset||[0,-14])}if(this._element.classList.add(\"maplibregl-marker\"),this._element.addEventListener(\"dragstart\",(t=>{t.preventDefault()})),this._element.addEventListener(\"mousedown\",(t=>{t.preventDefault()})),Yi(this._element,this._anchor,\"marker\"),t&&t.className)for(const e of t.className.split(\" \"))this._element.classList.add(e);this._popup=null}addTo(t){return this.remove(),this._map=t,this._element.setAttribute(\"aria-label\",t._getUIString(\"Marker.Title\")),t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),t.on(\"terrain\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this}remove(){return this._opacityTimeout&&(clearTimeout(this._opacityTimeout),delete this._opacityTimeout),this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"terrain\",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),o.remove(this._element),this._popup&&this._popup.remove(),this}getLngLat(){return this._lngLat}setLngLat(t){return this._lngLat=e.N.convert(t),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this}getElement(){return this._element}setPopup(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){const e=38.1,r=13.5,n=Math.abs(r)/Math.SQRT2;t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-e],\"bottom-left\":[n,-1*(e-r+n)],\"bottom-right\":[-n,-1*(e-r+n)],left:[r,-1*(e-r)],right:[-r,-1*(e-r)]}:this._offset}this._popup=t,this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this}setSubpixelPositioning(t){return this._subpixelPositioning=t,this}getPopup(){return this._popup}togglePopup(){const t=this._popup;return this._element.style.opacity===this._opacityWhenCovered?this:t?(t.isOpen()?t.remove():(t.setLngLat(this._lngLat),t.addTo(this._map)),this):this}_updateOpacity(t=!1){var r,n;if(!(null===(r=this._map)||void 0===r?void 0:r.terrain))return void(this._element.style.opacity!==this._opacity&&(this._element.style.opacity=this._opacity));if(t)this._opacityTimeout=null;else{if(this._opacityTimeout)return;this._opacityTimeout=setTimeout((()=>{this._opacityTimeout=null}),100)}const i=this._map,a=i.terrain.depthAtPoint(this._pos),o=i.terrain.getElevationForLngLatZoom(this._lngLat,i.transform.tileZoom);if(i.transform.lngLatToCameraDepth(this._lngLat,o)-a<.006)return void(this._element.style.opacity=this._opacity);const s=-this._offset.y/i.transform._pixelPerMeter,l=Math.sin(i.getPitch()*Math.PI/180)*s,c=i.terrain.depthAtPoint(new e.P(this._pos.x,this._pos.y-this._offset.y)),u=i.transform.lngLatToCameraDepth(this._lngLat,o+l)-c>.006;(null===(n=this._popup)||void 0===n?void 0:n.isOpen())&&u&&this._popup.remove(),this._element.style.opacity=u?this._opacityWhenCovered:this._opacity}getOffset(){return this._offset}setOffset(t){return this._offset=e.P.convert(t),this._update(),this}addClassName(t){this._element.classList.add(t)}removeClassName(t){this._element.classList.remove(t)}toggleClassName(t){return this._element.classList.toggle(t)}setDraggable(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}isDraggable(){return this._draggable}setRotation(t){return this._rotation=t||0,this._update(),this}getRotation(){return this._rotation}setRotationAlignment(t){return this._rotationAlignment=t||\"auto\",this._update(),this}getRotationAlignment(){return this._rotationAlignment}setPitchAlignment(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this}getPitchAlignment(){return this._pitchAlignment}setOpacity(t,e){return void 0===t&&void 0===e&&(this._opacity=\"1\",this._opacityWhenCovered=\"0.2\"),void 0!==t&&(this._opacity=t),void 0!==e&&(this._opacityWhenCovered=e),this._map&&this._updateOpacity(!0),this}}const $i={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};let Ji=0,Ki=!1;class Qi extends e.E{constructor(t){super(),this._onSuccess=t=>{if(this._map){if(this._isOutOfMapMaxBounds(t))return this._setErrorState(),this.fire(new e.k(\"outofmaxbounds\",t)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=t,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\");break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(t),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(t),this.options.showUserLocation&&this._dotElement.classList.remove(\"maplibregl-user-location-dot-stale\"),this.fire(new e.k(\"geolocate\",t)),this._finish()}},this._updateCamera=t=>{const r=new e.N(t.coords.longitude,t.coords.latitude),n=t.coords.accuracy,i=this._map.getBearing(),a=e.e({bearing:i},this.options.fitBoundsOptions),o=X.fromLngLat(r,n);this._map.fitBounds(o,a,{geolocateSource:!0})},this._updateMarker=t=>{if(t){const r=new e.N(t.coords.longitude,t.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=t.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},this._onZoom=()=>{this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},this._onError=t=>{if(this._map){if(this.options.trackUserLocation)if(1===t.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;const t=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=t,this._geolocateButton.setAttribute(\"aria-label\",t),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===t.code&&Ki)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"maplibregl-user-location-dot-stale\"),this.fire(new e.k(\"error\",t)),this._finish()}},this._finish=()=>{this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},this._setupUI=()=>{this._map&&(this._container.addEventListener(\"contextmenu\",(t=>t.preventDefault())),this._geolocateButton=o.create(\"button\",\"maplibregl-ctrl-geolocate\",this._container),o.create(\"span\",\"maplibregl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",\"true\"),this._geolocateButton.type=\"button\",this._geolocateButton.disabled=!0)},this._finishSetupUI=t=>{if(this._map){if(!1===t){e.w(\"Geolocation support is not available so the GeolocateControl will be disabled.\");const t=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=t,this._geolocateButton.setAttribute(\"aria-label\",t)}else{const t=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.disabled=!1,this._geolocateButton.title=t,this._geolocateButton.setAttribute(\"aria-label\",t)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=o.create(\"div\",\"maplibregl-user-location-dot\"),this._userLocationDotMarker=new Xi({element:this._dotElement}),this._circleElement=o.create(\"div\",\"maplibregl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Xi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",(()=>this.trigger())),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(t=>{const r=t.originalEvent&&\"resize\"===t.originalEvent.type;t.geolocateSource||\"ACTIVE_LOCK\"!==this._watchState||r||(this._watchState=\"BACKGROUND\",this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this.fire(new e.k(\"trackuserlocationend\")),this.fire(new e.k(\"userlocationlostfocus\")))}))}},this.options=e.e({},$i,t)}onAdd(t){return this._map=t,this._container=o.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),function(){return e._(this,arguments,void 0,(function*(t=!1){if(void 0!==Gi&&!t)return Gi;if(void 0===window.navigator.permissions)return Gi=!!window.navigator.geolocation,Gi;try{const t=yield window.navigator.permissions.query({name:\"geolocation\"});Gi=\"denied\"!==t.state}catch(t){Gi=!!window.navigator.geolocation}return Gi}))}().then((t=>this._finishSetupUI(t))),this._container}onRemove(){void 0!==this._geolocationWatchID&&(window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),o.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ji=0,Ki=!1}_isOutOfMapMaxBounds(t){const e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())}_setErrorState(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\");break;case\"ACTIVE_ERROR\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}}_updateCircleRadius(){const t=this._map.getBounds(),e=t.getSouthEast(),r=t.getNorthEast(),n=e.distanceTo(r),i=this._map._container.clientHeight,a=Math.ceil(this._accuracy/(n/i)*2);this._circleElement.style.width=`${a}px`,this._circleElement.style.height=`${a}px`}trigger(){if(!this._setup)return e.w(\"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 e.k(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ji--,Ki=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background-error\"),this.fire(new e.k(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new e.k(\"trackuserlocationstart\")),this.fire(new e.k(\"userlocationfocus\"));break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-active\");break;case\"OFF\":break;default:throw new Error(`Unexpected watchState ${this._watchState}`)}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){let t;this._geolocateButton.classList.add(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),Ji++,Ji>1?(t={maximumAge:6e5,timeout:0},Ki=!0):(t=this.options.positionOptions,Ki=!1),this._geolocationWatchID=window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,t)}}else window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0}_clearWatch(){window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"maplibregl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)}}const ta={maxWidth:100,unit:\"metric\"};function ea(t,e,r){const n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){const r=3.2808*s;r>5280?ra(e,n,r/5280,t._getUIString(\"ScaleControl.Miles\")):ra(e,n,r,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?ra(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ra(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ra(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function ra(t,e,r,n){const i=function(t){const e=Math.pow(10,`${Math.floor(t)}`.length-1);let r=t/e;return r=r>=10?10:r>=5?5:r>=3?3:r>=2?2:r>=1?1:function(t){const e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(r),e*r}(r),a=i/r;t.style.width=e*a+\"px\",t.innerHTML=`${i}&nbsp;${n}`}class na extends e.E{constructor(t={}){super(),this._onFullscreenChange=()=>{var t;let e=window.document.fullscreenElement||window.document.mozFullScreenElement||window.document.webkitFullscreenElement||window.document.msFullscreenElement;for(;null===(t=null==e?void 0:e.shadowRoot)||void 0===t?void 0:t.fullscreenElement;)e=e.shadowRoot.fullscreenElement;e===this._container!==this._fullscreen&&this._handleFullscreenChange()},this._onClickFullscreen=()=>{this._isFullscreen()?this._exitFullscreen():this._requestFullscreen()},this._fullscreen=!1,t&&t.container&&(t.container instanceof HTMLElement?this._container=t.container:e.w(\"Full screen control 'container' must be a DOM element.\")),\"onfullscreenchange\"in document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in document&&(this._fullscreenchange=\"MSFullscreenChange\")}onAdd(t){return this._map=t,this._container||(this._container=this._map.getContainer()),this._controlContainer=o.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._setupUI(),this._controlContainer}onRemove(){o.remove(this._controlContainer),this._map=null,window.document.removeEventListener(this._fullscreenchange,this._onFullscreenChange)}_setupUI(){const t=this._fullscreenButton=o.create(\"button\",\"maplibregl-ctrl-fullscreen\",this._controlContainer);o.create(\"span\",\"maplibregl-ctrl-icon\",t).setAttribute(\"aria-hidden\",\"true\"),t.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),window.document.addEventListener(this._fullscreenchange,this._onFullscreenChange)}_updateTitle(){const t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t}_getTitle(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")}_isFullscreen(){return this._fullscreen}_handleFullscreenChange(){this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"maplibregl-ctrl-fullscreen\"),this._updateTitle(),this._fullscreen?(this.fire(new e.k(\"fullscreenstart\")),this._prevCooperativeGesturesEnabled=this._map.cooperativeGestures.isEnabled(),this._map.cooperativeGestures.disable()):(this.fire(new e.k(\"fullscreenend\")),this._prevCooperativeGesturesEnabled&&this._map.cooperativeGestures.enable())}_exitFullscreen(){window.document.exitFullscreen?window.document.exitFullscreen():window.document.mozCancelFullScreen?window.document.mozCancelFullScreen():window.document.msExitFullscreen?window.document.msExitFullscreen():window.document.webkitCancelFullScreen?window.document.webkitCancelFullScreen():this._togglePseudoFullScreen()}_requestFullscreen(){this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen?this._container.webkitRequestFullscreen():this._togglePseudoFullScreen()}_togglePseudoFullScreen(){this._container.classList.toggle(\"maplibregl-pseudo-fullscreen\"),this._handleFullscreenChange(),this._map.resize()}}const ia={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\",subpixelPositioning:!1},aa=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \");class oa extends e.E{constructor(t){super(),this.remove=()=>(this._content&&o.remove(this._content),this._container&&(o.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\"),delete this._map,this.fire(new e.k(\"close\"))),this),this._onMouseUp=t=>{this._update(t.point)},this._onMouseMove=t=>{this._update(t.point)},this._onDrag=t=>{this._update(t.point)},this._update=t=>{var e;const r=this._lngLat||this._trackPointer;if(!this._map||!r||!this._content)return;if(!this._container){if(this._container=o.create(\"div\",\"maplibregl-popup\",this._map.getContainer()),this._tip=o.create(\"div\",\"maplibregl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className)for(const t of this.options.className.split(\" \"))this._container.classList.add(t);this._closeButton&&this._closeButton.setAttribute(\"aria-label\",this._map._getUIString(\"Popup.Close\")),this._trackPointer&&this._container.classList.add(\"maplibregl-popup-track-pointer\")}if(this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer?this._lngLat=Zi(this._lngLat,this._flatPos,this._map.transform):this._lngLat=null===(e=this._lngLat)||void 0===e?void 0:e.wrap(),this._trackPointer&&!t)return;const n=this._flatPos=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat);this._map.terrain&&(this._flatPos=this._trackPointer&&t?t:this._map.transform.locationPoint(this._lngLat));let i=this.options.anchor;const a=sa(this.options.offset);if(!i){const t=this._container.offsetWidth,e=this._container.offsetHeight;let r;r=n.y+a.bottom.y<e?[\"top\"]:n.y>this._map.transform.height-e?[\"bottom\"]:[],n.x<t/2?r.push(\"left\"):n.x>this._map.transform.width-t/2&&r.push(\"right\"),i=0===r.length?\"bottom\":r.join(\"-\")}let s=n.add(a[i]);this.options.subpixelPositioning||(s=s.round()),o.setTransform(this._container,`${Wi[i]} translate(${s.x}px,${s.y}px)`),Yi(this._container,i,\"popup\")},this._onClose=()=>{this.remove()},this.options=e.e(Object.create(ia),t)}addTo(t){return this._map&&this.remove(),this._map=t,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new e.k(\"open\")),this}isOpen(){return!!this._map}getLngLat(){return this._lngLat}setLngLat(t){return this._lngLat=e.N.convert(t),this._pos=null,this._flatPos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"maplibregl-track-pointer\")),this}trackPointer(){return this._trackPointer=!0,this._pos=null,this._flatPos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"maplibregl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"maplibregl-track-pointer\")),this}getElement(){return this._container}setText(t){return this.setDOMContent(document.createTextNode(t))}setHTML(t){const e=document.createDocumentFragment(),r=document.createElement(\"body\");let n;for(r.innerHTML=t;n=r.firstChild,n;)e.appendChild(n);return this.setDOMContent(e)}getMaxWidth(){var t;return null===(t=this._container)||void 0===t?void 0:t.style.maxWidth}setMaxWidth(t){return this.options.maxWidth=t,this._update(),this}setDOMContent(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=o.create(\"div\",\"maplibregl-popup-content\",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this}addClassName(t){return this._container&&this._container.classList.add(t),this}removeClassName(t){return this._container&&this._container.classList.remove(t),this}setOffset(t){return this.options.offset=t,this._update(),this}toggleClassName(t){if(this._container)return this._container.classList.toggle(t)}setSubpixelPositioning(t){this.options.subpixelPositioning=t}_createCloseButton(){this.options.closeButton&&(this._closeButton=o.create(\"button\",\"maplibregl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))}_focusFirstElement(){if(!this.options.focusAfterOpen||!this._container)return;const t=this._container.querySelector(aa);t&&t.focus()}}function sa(t){if(t){if(\"number\"==typeof t){const r=Math.round(Math.abs(t)/Math.SQRT2);return{center:new e.P(0,0),top:new e.P(0,t),\"top-left\":new e.P(r,r),\"top-right\":new e.P(-r,r),bottom:new e.P(0,-t),\"bottom-left\":new e.P(r,-r),\"bottom-right\":new e.P(-r,-r),left:new e.P(t,0),right:new e.P(-t,0)}}if(t instanceof e.P||Array.isArray(t)){const r=e.P.convert(t);return{center:r,top:r,\"top-left\":r,\"top-right\":r,bottom:r,\"bottom-left\":r,\"bottom-right\":r,left:r,right:r}}return{center:e.P.convert(t.center||[0,0]),top:e.P.convert(t.top||[0,0]),\"top-left\":e.P.convert(t[\"top-left\"]||[0,0]),\"top-right\":e.P.convert(t[\"top-right\"]||[0,0]),bottom:e.P.convert(t.bottom||[0,0]),\"bottom-left\":e.P.convert(t[\"bottom-left\"]||[0,0]),\"bottom-right\":e.P.convert(t[\"bottom-right\"]||[0,0]),left:e.P.convert(t.left||[0,0]),right:e.P.convert(t.right||[0,0])}}return sa(new e.P(0,0))}const la=r;t.AJAXError=e.bg,t.Evented=e.E,t.LngLat=e.N,t.MercatorCoordinate=e.Z,t.Point=e.P,t.addProtocol=e.bh,t.config=e.a,t.removeProtocol=e.bi,t.AttributionControl=Li,t.BoxZoomHandler=Gn,t.CanvasSource=it,t.CooperativeGesturesHandler=Ti,t.DoubleClickZoomHandler=yi,t.DragPanHandler=_i,t.DragRotateHandler=bi,t.EdgeInsets=Mn,t.FullscreenControl=na,t.GeoJSONSource=tt,t.GeolocateControl=Qi,t.Hash=Ln,t.ImageSource=rt,t.KeyboardHandler=pi,t.LngLatBounds=X,t.LogoControl=Ii,t.Map=class extends Ei{constructor(t){e.be.mark(e.bf.create);const r=Object.assign(Object.assign({},Ui),t);if(null!=r.minZoom&&null!=r.maxZoom&&r.minZoom>r.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=r.minPitch&&null!=r.maxPitch&&r.minPitch>r.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=r.minPitch&&r.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=r.maxPitch&&r.maxPitch>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(super(new En(r.minZoom,r.maxZoom,r.minPitch,r.maxPitch,r.renderWorldCopies),{bearingSnap:r.bearingSnap}),this._idleTriggered=!1,this._crossFadingFactor=1,this._renderTaskQueue=new Pi,this._controls=[],this._mapId=e.a4(),this._contextLost=t=>{t.preventDefault(),this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this.fire(new e.k(\"webglcontextlost\",{originalEvent:t}))},this._contextRestored=t=>{this._setupPainter(),this.resize(),this._update(),this.fire(new e.k(\"webglcontextrestored\",{originalEvent:t}))},this._onMapScroll=t=>{if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},this._onWindowOnline=()=>{this._update()},this._interactive=r.interactive,this._maxTileCacheSize=r.maxTileCacheSize,this._maxTileCacheZoomLevels=r.maxTileCacheZoomLevels,this._failIfMajorPerformanceCaveat=!0===r.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=!0===r.preserveDrawingBuffer,this._antialias=!0===r.antialias,this._trackResize=!0===r.trackResize,this._bearingSnap=r.bearingSnap,this._refreshExpiredTiles=!0===r.refreshExpiredTiles,this._fadeDuration=r.fadeDuration,this._crossSourceCollisions=!0===r.crossSourceCollisions,this._collectResourceTiming=!0===r.collectResourceTiming,this._locale=Object.assign(Object.assign({},Ni),r.locale),this._clickTolerance=r.clickTolerance,this._overridePixelRatio=r.pixelRatio,this._maxCanvasSize=r.maxCanvasSize,this.transformCameraUpdate=r.transformCameraUpdate,this.cancelPendingTileRequestsWhileZooming=!0===r.cancelPendingTileRequestsWhileZooming,this._imageQueueHandle=p.addThrottleControl((()=>this.isMoving())),this._requestManager=new d(r.transformRequest),\"string\"==typeof r.container){if(this._container=document.getElementById(r.container),!this._container)throw new Error(`Container '${r.container}' not found.`)}else{if(!(r.container instanceof HTMLElement))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=r.container}if(r.maxBounds&&this.setMaxBounds(r.maxBounds),this._setupContainer(),this._setupPainter(),this.on(\"move\",(()=>this._update(!1))).on(\"moveend\",(()=>this._update(!1))).on(\"zoom\",(()=>this._update(!0))).on(\"terrain\",(()=>{this.painter.terrainFacilitator.dirty=!0,this._update(!0)})).once(\"idle\",(()=>{this._idleTriggered=!0})),\"undefined\"!=typeof window){addEventListener(\"online\",this._onWindowOnline,!1);let t=!1;const e=Cn((t=>{this._trackResize&&!this._removed&&this.resize(t)._update()}),50);this._resizeObserver=new ResizeObserver((r=>{t?e(r):t=!0})),this._resizeObserver.observe(this._container)}this.handlers=new Si(this,r);const n=\"string\"==typeof r.hash&&r.hash||void 0;this._hash=r.hash&&new Ln(n).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:r.center,zoom:r.zoom,bearing:r.bearing,pitch:r.pitch}),r.bounds&&(this.resize(),this.fitBounds(r.bounds,e.e({},r.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=r.localIdeographFontFamily,this._validateStyle=r.validateStyle,r.style&&this.setStyle(r.style,{localIdeographFontFamily:r.localIdeographFontFamily}),r.attributionControl&&this.addControl(new Li(\"boolean\"==typeof r.attributionControl?void 0:r.attributionControl)),r.maplibreLogo&&this.addControl(new Ii,r.logoPosition),this.on(\"style.load\",(()=>{this.transform.unmodified&&this.jumpTo(this.style.stylesheet)})),this.on(\"data\",(t=>{this._update(\"style\"===t.dataType),this.fire(new e.k(`${t.dataType}data`,t))})),this.on(\"dataloading\",(t=>{this.fire(new e.k(`${t.dataType}dataloading`,t))})),this.on(\"dataabort\",(t=>{this.fire(new e.k(\"sourcedataabort\",t))}))}_getMapId(){return this._mapId}addControl(t,r){if(void 0===r&&(r=t.getDefaultPosition?t.getDefaultPosition():\"top-right\"),!t||!t.onAdd)return this.fire(new e.j(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));const n=t.onAdd(this);this._controls.push(t);const i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this}removeControl(t){if(!t||!t.onRemove)return this.fire(new e.j(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));const r=this._controls.indexOf(t);return r>-1&&this._controls.splice(r,1),t.onRemove(this),this}hasControl(t){return this._controls.indexOf(t)>-1}calculateCameraOptionsFromTo(t,e,r,n){return null==n&&this.terrain&&(n=this.terrain.getElevationForLngLatZoom(r,this.transform.tileZoom)),super.calculateCameraOptionsFromTo(t,e,r,n)}resize(t){var r;const n=this._containerDimensions(),i=n[0],a=n[1],o=this._getClampedPixelRatio(i,a);if(this._resizeCanvas(i,a,o),this.painter.resize(i,a,o),this.painter.overLimit()){const t=this.painter.context.gl;this._maxCanvasSize=[t.drawingBufferWidth,t.drawingBufferHeight];const e=this._getClampedPixelRatio(i,a);this._resizeCanvas(i,a,e),this.painter.resize(i,a,e)}this.transform.resize(i,a),null===(r=this._requestedCameraState)||void 0===r||r.resize(i,a);const s=!this._moving;return s&&(this.stop(),this.fire(new e.k(\"movestart\",t)).fire(new e.k(\"move\",t))),this.fire(new e.k(\"resize\",t)),s&&this.fire(new e.k(\"moveend\",t)),this}_getClampedPixelRatio(t,e){const{0:r,1:n}=this._maxCanvasSize,i=this.getPixelRatio(),a=t*i,o=e*i,s=a>r?r/a:1,l=o>n?n/o:1;return Math.min(s,l)*i}getPixelRatio(){var t;return null!==(t=this._overridePixelRatio)&&void 0!==t?t:devicePixelRatio}setPixelRatio(t){this._overridePixelRatio=t,this.resize()}getBounds(){return this.transform.getBounds()}getMaxBounds(){return this.transform.getMaxBounds()}setMaxBounds(t){return this.transform.setMaxBounds(X.convert(t)),this._update()}setMinZoom(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")}getMinZoom(){return this.transform.minZoom}setMaxZoom(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\")}getMaxZoom(){return this.transform.maxZoom}setMinPitch(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")}getMinPitch(){return this.transform.minPitch}setMaxPitch(t){if((t=null==t?60:t)>85)throw new Error(\"maxPitch must be less than or equal to 85\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")}getMaxPitch(){return this.transform.maxPitch}getRenderWorldCopies(){return this.transform.renderWorldCopies}setRenderWorldCopies(t){return this.transform.renderWorldCopies=t,this._update()}project(t){return this.transform.locationPoint(e.N.convert(t),this.style&&this.terrain)}unproject(t){return this.transform.pointLocation(e.P.convert(t),this.terrain)}isMoving(){var t;return this._moving||(null===(t=this.handlers)||void 0===t?void 0:t.isMoving())}isZooming(){var t;return this._zooming||(null===(t=this.handlers)||void 0===t?void 0:t.isZooming())}isRotating(){var t;return this._rotating||(null===(t=this.handlers)||void 0===t?void 0:t.isRotating())}_createDelegatedListener(t,e,r){if(\"mouseenter\"===t||\"mouseover\"===t){let n=!1;const i=i=>{const a=this.getLayer(e)?this.queryRenderedFeatures(i.point,{layers:[e]}):[];a.length?n||(n=!0,r.call(this,new Nn(t,this,i.originalEvent,{features:a}))):n=!1};return{layer:e,listener:r,delegates:{mousemove:i,mouseout:()=>{n=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){let n=!1;const i=i=>{(this.getLayer(e)?this.queryRenderedFeatures(i.point,{layers:[e]}):[]).length?n=!0:n&&(n=!1,r.call(this,new Nn(t,this,i.originalEvent)))},a=e=>{n&&(n=!1,r.call(this,new Nn(t,this,e.originalEvent)))};return{layer:e,listener:r,delegates:{mousemove:i,mouseout:a}}}{const n=t=>{const n=this.getLayer(e)?this.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(this,t),delete t.features)};return{layer:e,listener:r,delegates:{[t]:n}}}}on(t,e,r){if(void 0===r)return super.on(t,e);const n=this._createDelegatedListener(t,e,r);this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(n);for(const t in n.delegates)this.on(t,n.delegates[t]);return this}once(t,e,r){if(void 0===r)return super.once(t,e);const n=this._createDelegatedListener(t,e,r);for(const t in n.delegates)this.once(t,n.delegates[t]);return this}off(t,e,r){if(void 0===r)return super.off(t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&(n=>{const i=n[t];for(let t=0;t<i.length;t++){const n=i[t];if(n.layer===e&&n.listener===r){for(const t in n.delegates)this.off(t,n.delegates[t]);return i.splice(t,1),this}}})(this._delegatedListeners),this}queryRenderedFeatures(t,r){if(!this.style)return[];let n;const i=t instanceof e.P||Array.isArray(t),a=i?t:[[0,0],[this.transform.width,this.transform.height]];if(r=r||(i?{}:t)||{},a instanceof e.P||\"number\"==typeof a[0])n=[e.P.convert(a)];else{const t=e.P.convert(a[0]),r=e.P.convert(a[1]);n=[t,new e.P(r.x,t.y),r,new e.P(t.x,r.y),t]}return this.style.queryRenderedFeatures(n,r,this.transform)}querySourceFeatures(t,e){return this.style.querySourceFeatures(t,e)}setStyle(t,r){return!1!==(r=e.e({},{localIdeographFontFamily:this._localIdeographFontFamily,validate:this._validateStyle},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&t?(this._diffStyle(t,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(t,r))}setTransformRequest(t){return this._requestManager.setTransformRequest(t),this}_getUIString(t){const e=this._locale[t];if(null==e)throw new Error(`Missing UI string '${t}'`);return e}_updateStyle(t,e){if(e.transformStyle&&this.style&&!this.style._loaded)return void this.style.once(\"style.load\",(()=>this._updateStyle(t,e)));const r=this.style&&e.transformStyle?this.style.serialize():void 0;return this.style&&(this.style.setEventedParent(null),this.style._remove(!t)),t?(this.style=new de(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t,e,r):this.style.loadJSON(t,e,r),this):(delete this.style,this)}_lazyInitEmptyStyle(){this.style||(this.style=new de(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())}_diffStyle(t,r){if(\"string\"==typeof t){const n=t,i=this._requestManager.transformRequest(n,\"Style\");e.h(i,new AbortController).then((t=>{this._updateDiff(t.data,r)})).catch((t=>{t&&this.fire(new e.j(t))}))}else\"object\"==typeof t&&this._updateDiff(t,r)}_updateDiff(t,r){try{this.style.setState(t,r)&&this._update(!0)}catch(n){e.w(`Unable to perform style diff: ${n.message||n.error||n}.  Rebuilding the style from scratch.`),this._updateStyle(t,r)}}getStyle(){if(this.style)return this.style.serialize()}isStyleLoaded(){return this.style?this.style.loaded():e.w(\"There is no style added to the map.\")}addSource(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)}isSourceLoaded(t){const r=this.style&&this.style.sourceCaches[t];if(void 0!==r)return r.loaded();this.fire(new e.j(new Error(`There is no source with ID '${t}'`)))}setTerrain(t){if(this.style._checkLoaded(),this._terrainDataCallback&&this.style.off(\"data\",this._terrainDataCallback),t){const r=this.style.sourceCaches[t.source];if(!r)throw new Error(`cannot load terrain, because there exists no source with ID: ${t.source}`);null===this.terrain&&r.reload();for(const r in this.style._layers){const n=this.style._layers[r];\"hillshade\"===n.type&&n.source===t.source&&e.w(\"You are using the same source for a hillshade layer and for 3D terrain. Please consider using two separate sources to improve rendering quality.\")}this.terrain=new Di(this.painter,r,t),this.painter.renderToTexture=new Bi(this.painter,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._terrainDataCallback=e=>{\"style\"===e.dataType?this.terrain.sourceCache.freeRtt():\"source\"===e.dataType&&e.tile&&(e.sourceId!==t.source||this._elevationFreeze||(this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom)),this.terrain.sourceCache.freeRtt(e.tile.tileID))},this.style.on(\"data\",this._terrainDataCallback)}else this.terrain&&this.terrain.sourceCache.destruct(),this.terrain=null,this.painter.renderToTexture&&this.painter.renderToTexture.destruct(),this.painter.renderToTexture=null,this.transform.minElevationForCurrentTile=0,this.transform.elevation=0;return this.fire(new e.k(\"terrain\",{terrain:t})),this}getTerrain(){var t,e;return null!==(e=null===(t=this.terrain)||void 0===t?void 0:t.options)&&void 0!==e?e:null}areTilesLoaded(){const t=this.style&&this.style.sourceCaches;for(const e in t){const r=t[e]._tiles;for(const t in r){const e=r[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}}return!0}removeSource(t){return this.style.removeSource(t),this._update(!0)}getSource(t){return this.style.getSource(t)}addImage(t,r,n={}){const{pixelRatio:i=1,sdf:o=!1,stretchX:s,stretchY:l,content:c,textFitWidth:u,textFitHeight:h}=n;this._lazyInitEmptyStyle();if(!(r instanceof HTMLImageElement||e.b(r))){if(void 0===r.width||void 0===r.height)return this.fire(new e.j(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));{const{width:n,height:a,data:f}=r,p=r;return this.style.addImage(t,{data:new e.R({width:n,height:a},new Uint8Array(f)),pixelRatio:i,stretchX:s,stretchY:l,content:c,textFitWidth:u,textFitHeight:h,sdf:o,version:0,userImage:p}),p.onAdd&&p.onAdd(this,t),this}}{const{width:n,height:f,data:p}=a.getImageData(r);this.style.addImage(t,{data:new e.R({width:n,height:f},p),pixelRatio:i,stretchX:s,stretchY:l,content:c,textFitWidth:u,textFitHeight:h,sdf:o,version:0})}}updateImage(t,r){const n=this.style.getImage(t);if(!n)return this.fire(new e.j(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));const i=r instanceof HTMLImageElement||e.b(r)?a.getImageData(r):r,{width:o,height:s,data:l}=i;if(void 0===o||void 0===s)return this.fire(new e.j(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(o!==n.data.width||s!==n.data.height)return this.fire(new e.j(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));const c=!(r instanceof HTMLImageElement||e.b(r));return n.data.replace(l,c),this.style.updateImage(t,n),this}getImage(t){return this.style.getImage(t)}hasImage(t){return t?!!this.style.getImage(t):(this.fire(new e.j(new Error(\"Missing required image id\"))),!1)}removeImage(t){this.style.removeImage(t)}loadImage(t){return p.getImage(this._requestManager.transformRequest(t,\"Image\"),new AbortController)}listImages(){return this.style.listImages()}addLayer(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)}moveLayer(t,e){return this.style.moveLayer(t,e),this._update(!0)}removeLayer(t){return this.style.removeLayer(t),this._update(!0)}getLayer(t){return this.style.getLayer(t)}getLayersOrder(){return this.style.getLayersOrder()}setLayerZoomRange(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)}setFilter(t,e,r={}){return this.style.setFilter(t,e,r),this._update(!0)}getFilter(t){return this.style.getFilter(t)}setPaintProperty(t,e,r,n={}){return this.style.setPaintProperty(t,e,r,n),this._update(!0)}getPaintProperty(t,e){return this.style.getPaintProperty(t,e)}setLayoutProperty(t,e,r,n={}){return this.style.setLayoutProperty(t,e,r,n),this._update(!0)}getLayoutProperty(t,e){return this.style.getLayoutProperty(t,e)}setGlyphs(t,e={}){return this._lazyInitEmptyStyle(),this.style.setGlyphs(t,e),this._update(!0)}getGlyphs(){return this.style.getGlyphsUrl()}addSprite(t,e,r={}){return this._lazyInitEmptyStyle(),this.style.addSprite(t,e,r,(t=>{t||this._update(!0)})),this}removeSprite(t){return this._lazyInitEmptyStyle(),this.style.removeSprite(t),this._update(!0)}getSprite(){return this.style.getSprite()}setSprite(t,e={}){return this._lazyInitEmptyStyle(),this.style.setSprite(t,e,(t=>{t||this._update(!0)})),this}setLight(t,e={}){return this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)}getLight(){return this.style.getLight()}setSky(t){return this._lazyInitEmptyStyle(),this.style.setSky(t),this._update(!0)}getSky(){return this.style.getSky()}setFeatureState(t,e){return this.style.setFeatureState(t,e),this._update()}removeFeatureState(t,e){return this.style.removeFeatureState(t,e),this._update()}getFeatureState(t){return this.style.getFeatureState(t)}getContainer(){return this._container}getCanvasContainer(){return this._canvasContainer}getCanvas(){return this._canvas}_containerDimensions(){let t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]}_setupContainer(){const t=this._container;t.classList.add(\"maplibregl-map\");const e=this._canvasContainer=o.create(\"div\",\"maplibregl-canvas-container\",t);this._interactive&&e.classList.add(\"maplibregl-interactive\"),this._canvas=o.create(\"canvas\",\"maplibregl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",this._interactive?\"0\":\"-1\"),this._canvas.setAttribute(\"aria-label\",this._getUIString(\"Map.Title\")),this._canvas.setAttribute(\"role\",\"region\");const r=this._containerDimensions(),n=this._getClampedPixelRatio(r[0],r[1]);this._resizeCanvas(r[0],r[1],n);const i=this._controlContainer=o.create(\"div\",\"maplibregl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((t=>{a[t]=o.create(\"div\",`maplibregl-ctrl-${t} `,i)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)}_resizeCanvas(t,e,r){this._canvas.width=Math.floor(r*t),this._canvas.height=Math.floor(r*e),this._canvas.style.width=`${t}px`,this._canvas.style.height=`${e}px`}_setupPainter(){const t={alpha:!0,stencil:!0,depth:!0,failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1};let e=null;this._canvas.addEventListener(\"webglcontextcreationerror\",(r=>{e={requestedAttributes:t},r&&(e.statusMessage=r.statusMessage,e.type=r.type)}),{once:!0});const r=this._canvas.getContext(\"webgl2\",t)||this._canvas.getContext(\"webgl\",t);if(!r){const t=\"Failed to initialize WebGL\";throw e?(e.message=t,new Error(JSON.stringify(e))):new Error(t)}this.painter=new Tn(r,this.transform),s.testSupport(r)}loaded(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()}_update(t){return this.style&&this.style._loaded?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this}_requestRenderFrame(t){return this._update(),this._renderTaskQueue.add(t)}_cancelRenderFrame(t){this._renderTaskQueue.remove(t)}_render(t){const r=this._idleTriggered?this._fadeDuration:0;if(this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(t),this._removed)return;let n=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;const t=this.transform.zoom,i=a.now();this.style.zoomHistory.update(t,i);const o=new e.a9(t,{now:i,fadeDuration:r,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),s=o.crossFadingFactor();1===s&&s===this._crossFadingFactor||(n=!0,this._crossFadingFactor=s),this.style.update(o)}this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this.terrain?(this.terrain.sourceCache.update(this.transform,this.terrain),this.transform.minElevationForCurrentTile=this.terrain.getMinTileElevationForLngLatZoom(this.transform.center,this.transform.tileZoom),this._elevationFreeze||(this.transform.elevation=this.terrain.getElevationForLngLatZoom(this.transform.center,this.transform.tileZoom))):(this.transform.minElevationForCurrentTile=0,this.transform.elevation=0),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,r,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:r,showPadding:this.showPadding}),this.fire(new e.k(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,e.be.mark(e.bf.load),this.fire(new e.k(\"load\"))),this.style&&(this.style.hasTransitions()||n)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles();const i=this._sourcesDirty||this._styleDirty||this._placementDirty;return i||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new e.k(\"idle\")),!this._loaded||this._fullyLoaded||i||(this._fullyLoaded=!0,e.be.mark(e.bf.fullLoad)),this}redraw(){return this.style&&(this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._render(0)),this}remove(){var t;this._hash&&this._hash.remove();for(const t of this._controls)t.onRemove(this);this._controls=[],this._frameRequest&&(this._frameRequest.abort(),this._frameRequest=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),\"undefined\"!=typeof window&&removeEventListener(\"online\",this._onWindowOnline,!1),p.removeThrottleControl(this._imageQueueHandle),null===(t=this._resizeObserver)||void 0===t||t.disconnect();const r=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");(null==r?void 0:r.loseContext)&&r.loseContext(),this._canvas.removeEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.removeEventListener(\"webglcontextlost\",this._contextLost,!1),o.remove(this._canvasContainer),o.remove(this._controlContainer),this._container.classList.remove(\"maplibregl-map\"),e.be.clearMetrics(),this._removed=!0,this.fire(new e.k(\"remove\"))}triggerRepaint(){this.style&&!this._frameRequest&&(this._frameRequest=new AbortController,a.frameAsync(this._frameRequest).then((t=>{e.be.frame(t),this._frameRequest=null,this._render(t)})).catch((()=>{})))}get showTileBoundaries(){return!!this._showTileBoundaries}set showTileBoundaries(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())}get showPadding(){return!!this._showPadding}set showPadding(t){this._showPadding!==t&&(this._showPadding=t,this._update())}get showCollisionBoxes(){return!!this._showCollisionBoxes}set showCollisionBoxes(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())}get showOverdrawInspector(){return!!this._showOverdrawInspector}set showOverdrawInspector(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())}get repaint(){return!!this._repaint}set repaint(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())}get vertices(){return!!this._vertices}set vertices(t){this._vertices=t,this._update()}get version(){return ji}getCameraTargetElevation(){return this.transform.elevation}},t.MapMouseEvent=Nn,t.MapTouchEvent=jn,t.MapWheelEvent=Un,t.Marker=Xi,t.NavigationControl=class{constructor(t){this._updateZoomButtons=()=>{const t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute(\"aria-disabled\",e.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",r.toString())},this._rotateCompassArrow=()=>{const t=this.options.visualizePitch?`scale(${1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)}) rotateX(${this._map.transform.pitch}deg) rotateZ(${this._map.transform.angle*(180/Math.PI)}deg)`:`rotate(${this._map.transform.angle*(180/Math.PI)}deg)`;this._compassIcon.style.transform=t},this._setButtonTitle=(t,e)=>{const r=this._map._getUIString(`NavigationControl.${e}`);t.title=r,t.setAttribute(\"aria-label\",r)},this.options=e.e({},qi,t),this._container=o.create(\"div\",\"maplibregl-ctrl maplibregl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(t=>t.preventDefault())),this.options.showZoom&&(this._zoomInButton=this._createButton(\"maplibregl-ctrl-zoom-in\",(t=>this._map.zoomIn({},{originalEvent:t}))),o.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",\"true\"),this._zoomOutButton=this._createButton(\"maplibregl-ctrl-zoom-out\",(t=>this._map.zoomOut({},{originalEvent:t}))),o.create(\"span\",\"maplibregl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",\"true\")),this.options.showCompass&&(this._compass=this._createButton(\"maplibregl-ctrl-compass\",(t=>{this.options.visualizePitch?this._map.resetNorthPitch({},{originalEvent:t}):this._map.resetNorth({},{originalEvent:t})})),this._compassIcon=o.create(\"span\",\"maplibregl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",\"true\"))}onAdd(t){return 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-       "        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",
-       "                        })                };                });            </script>        </div>"
-      ]
+      }
      },
      "metadata": {},
-     "output_type": "display_data",
-     "jetTransient": {
-      "display_id": null
-     }
+     "output_type": "display_data"
     }
    ],
-   "execution_count": 55
+   "source": [
+    "ax = plotting.plot_efficient_frontier(cla, showfig=False, interactive=True)\n",
+    "ax.show()"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -7224,13 +7062,15 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 105,
    "metadata": {
-    "id": "OavRfyqJ9nzT",
     "ExecuteTime": {
      "end_time": "2025-11-12T08:11:03.546654Z",
      "start_time": "2025-11-12T08:11:03.525307Z"
-    }
+    },
+    "id": "OavRfyqJ9nzT"
    },
+   "outputs": [],
    "source": [
     "import cvxpy as cp\n",
     "\n",
@@ -7240,50 +7080,47 @@
     "ef = EfficientFrontier(mu, S,)\n",
     "big_tech_indices = [t in {\"MSFT\", \"AMZN\", \"TSLA\"} for t in tickers]\n",
     "ef.add_constraint(lambda w: cp.sum(w[big_tech_indices]) <= 0.3)"
-   ],
-   "outputs": [],
-   "execution_count": 56
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 106,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2025-11-12T08:11:03.581303Z",
      "start_time": "2025-11-12T08:11:03.565993Z"
     }
    },
-   "source": [
-    "mu"
-   ],
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "Ticker\n",
-       "ACN     0.202011\n",
-       "AMZN    0.352581\n",
-       "COST    0.175672\n",
-       "DIS     0.206533\n",
-       "F       0.241105\n",
-       "GILD    0.240912\n",
-       "JPM     0.263090\n",
-       "KO      0.118175\n",
-       "LUV     0.224131\n",
-       "MA      0.244448\n",
-       "MSFT    0.215577\n",
-       "PFE     0.152560\n",
-       "TSLA    0.309169\n",
-       "UNH     0.193748\n",
-       "XOM     0.139997\n",
+       "MSFT    0.201467\n",
+       "AMZN    0.093748\n",
+       "KO      0.102280\n",
+       "MA      0.208713\n",
+       "COST    0.094182\n",
+       "LUV     0.057803\n",
+       "XOM     0.128902\n",
+       "PFE     0.049005\n",
+       "JPM     0.111935\n",
+       "UNH     0.078781\n",
+       "ACN     0.217092\n",
+       "DIS     0.120652\n",
+       "GILD    0.073471\n",
+       "F       0.187965\n",
+       "TSLA    0.088108\n",
        "Name: mkt, dtype: float64"
       ]
      },
-     "execution_count": 57,
+     "execution_count": 106,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 57
+   "source": [
+    "mu"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -7296,39 +7133,36 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 107,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:11:03.791655Z",
+     "start_time": "2025-11-12T08:11:03.644554Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 297
     },
     "id": "BOehDOq19nzT",
-    "outputId": "171cb51c-a5c4-402a-e17e-86d1dda072b1",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:11:03.791655Z",
-     "start_time": "2025-11-12T08:11:03.644554Z"
-    }
+    "outputId": "171cb51c-a5c4-402a-e17e-86d1dda072b1"
    },
-   "source": [
-    "ax = plotting.plot_efficient_frontier(ef, ef_param=\"risk\", \n",
-    "                                      ef_param_range=np.linspace(0.2, 0.5, 50), \n",
-    "                                      showfig=False);"
-   ],
    "outputs": [
     {
      "data": {
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
-      ],
-      "image/png": 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"
+      ]
      },
      "metadata": {},
-     "output_type": "display_data",
-     "jetTransient": {
-      "display_id": null
-     }
+     "output_type": "display_data"
     }
    ],
-   "execution_count": 58
+   "source": [
+    "ax = plotting.plot_efficient_frontier(ef, ef_param=\"risk\", \n",
+    "                                      ef_param_range=np.linspace(0.2, 0.5, 50), \n",
+    "                                      showfig=False);"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -7347,49 +7181,49 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 108,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:11:03.861119Z",
+     "start_time": "2025-11-12T08:11:03.853260Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "esHxc73V9nzT",
-    "outputId": "decb7120-4d2e-49f3-f7d9-fcb5b78cdcce",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:11:03.861119Z",
-     "start_time": "2025-11-12T08:11:03.853260Z"
-    }
+    "outputId": "decb7120-4d2e-49f3-f7d9-fcb5b78cdcce"
    },
-   "source": [
-    "n_samples = 10000\n",
-    "w = np.random.dirichlet(np.ones(len(mu)), n_samples)\n",
-    "rets = w.dot(mu)\n",
-    "stds = np.sqrt((w.T * (S @ w.T)).sum(axis=0))\n",
-    "sharpes = rets / stds\n",
-    "\n",
-    "print(\"Sample portfolio returns:\", rets)\n",
-    "print(\"Sample portfolio volatilities:\", stds)"
-   ],
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Sample portfolio returns: [0.20296863 0.22650091 0.21093727 ... 0.24826296 0.22017591 0.19811965]\n",
-      "Sample portfolio volatilities: 0       0.176258\n",
-      "1       0.212849\n",
-      "2       0.186047\n",
-      "3       0.182062\n",
-      "4       0.202531\n",
+      "Sample portfolio returns: [0.12467897 0.12292268 0.13073263 ... 0.10921034 0.1218503  0.13818197]\n",
+      "Sample portfolio volatilities: 0       0.080237\n",
+      "1       0.084807\n",
+      "2       0.113201\n",
+      "3       0.088431\n",
+      "4       0.079990\n",
       "          ...   \n",
-      "9995    0.199046\n",
-      "9996    0.204033\n",
-      "9997    0.220805\n",
-      "9998    0.190212\n",
-      "9999    0.187209\n",
+      "9995    0.078739\n",
+      "9996    0.116583\n",
+      "9997    0.085528\n",
+      "9998    0.104105\n",
+      "9999    0.099938\n",
       "Length: 10000, dtype: float64\n"
      ]
     }
    ],
-   "execution_count": 59
+   "source": [
+    "n_samples = 10000\n",
+    "w = np.random.dirichlet(np.ones(len(mu)), n_samples)\n",
+    "rets = w.dot(mu)\n",
+    "stds = np.sqrt((w.T * (S @ w.T)).sum(axis=0))\n",
+    "sharpes = rets / stds\n",
+    "\n",
+    "print(\"Sample portfolio returns:\", rets)\n",
+    "print(\"Sample portfolio volatilities:\", stds)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -7402,13 +7236,15 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 109,
    "metadata": {
-    "id": "H3nL43aM9nzT",
     "ExecuteTime": {
      "end_time": "2025-11-12T08:11:03.903943Z",
      "start_time": "2025-11-12T08:11:03.892669Z"
-    }
+    },
+    "id": "H3nL43aM9nzT"
    },
+   "outputs": [],
    "source": [
     "# mus = []\n",
     "# stds = []\n",
@@ -7422,24 +7258,43 @@
     "#     mus.append(ret)\n",
     "#     stds.append(std)\n",
     "#     sharpes.append(ret / std)"
-   ],
-   "outputs": [],
-   "execution_count": 60
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 110,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:11:04.201554Z",
+     "start_time": "2025-11-12T08:11:03.927248Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 297
     },
     "id": "WjCjkC9p9nzU",
-    "outputId": "386b35b3-75fd-4186-8f65-f16317246965",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:11:04.201554Z",
-     "start_time": "2025-11-12T08:11:03.927248Z"
-    }
+    "outputId": "386b35b3-75fd-4186-8f65-f16317246965"
    },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\shuvam\\sparkle\\pyportfolio\\pypfopt\\base\\_base_optimizer.py:335: UserWarning: Solution may be inaccurate. Try another solver, adjusting the solver settings, or solve with verbose=True for more information.\n",
+      "  self._opt.solve(\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "# Plot efficient frontier with Monte Carlo sim\n",
     "ef = EfficientFrontier(mu, S)\n",
@@ -7460,36 +7315,14 @@
     "ax.legend()\n",
     "plt.tight_layout()\n",
     "plt.show()\n"
-   ],
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ],
-      "image/png": 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"
-     },
-     "metadata": {},
-     "output_type": "display_data",
-     "jetTransient": {
-      "display_id": null
-     }
-    }
-   ],
-   "execution_count": 61
+   ]
   },
   {
    "cell_type": "code",
-   "metadata": {
-    "id": "dZ0tR7Lt9nzU",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:11:04.252440Z",
-     "start_time": "2025-11-12T08:11:04.243455Z"
-    }
-   },
-   "source": [],
+   "execution_count": null,
+   "metadata": {},
    "outputs": [],
-   "execution_count": null
+   "source": []
   }
  ],
  "metadata": {
@@ -7501,9 +7334,9 @@
    "provenance": []
   },
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "name": "python3",
-   "language": "python"
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -7515,7 +7348,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.4"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/cookbook/3-Advanced-Mean-Variance-Optimisation.ipynb b/cookbook/3-Advanced-Mean-Variance-Optimisation.ipynb
index d15ccf97..54a3eb39 100644
--- a/cookbook/3-Advanced-Mean-Variance-Optimisation.ipynb
+++ b/cookbook/3-Advanced-Mean-Variance-Optimisation.ipynb
@@ -18,7 +18,7 @@
     "\n",
     "## Acquiring data\n",
     "\n",
-    "As discussed in the previous notebook, assets are an exogenous input (i.e you must come up with a list of tickers). We will use `yfinance` to download data for thesee tickers\n",
+    "As discussed in the previous notebook, assets are an exogenous input (i.e you must come up with a list of tickers). We will use `load_stockdata` from `pypfopt.data.data_loader` to import data for thesee tickers\n",
     "\n",
     "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/pyportfolio/pyportfolioopt/blob/master/cookbook/3-Advanced-Mean-Variance-Optimisation.ipynb)\n",
     "    \n",
@@ -31,346 +31,126 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 57,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:11:09.802872Z",
+     "start_time": "2025-11-12T08:11:09.179468Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "kWJJAvG4_iEz",
-    "outputId": "26b7d743-eb20-4fb5-a99d-f4a5098ee8ad",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:11:09.802872Z",
-     "start_time": "2025-11-12T08:11:09.179468Z"
-    }
+    "outputId": "26b7d743-eb20-4fb5-a99d-f4a5098ee8ad"
    },
-   "source": [
-    "!pip install pandas numpy matplotlib yfinance PyPortfolioOpt\n",
-    "import os\n",
-    "if not os.path.isdir('data'):\n",
-    "    os.system('git clone https://github.com/pyportfolio/pyportfolioopt.git')\n",
-    "    os.chdir('PyPortfolioOpt/cookbook')"
-   ],
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Requirement already satisfied: pandas in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (2.3.3)\r\n",
-      "Requirement already satisfied: numpy in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (2.3.4)\r\n",
-      "Requirement already satisfied: matplotlib in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (3.10.7)\r\n",
-      "Requirement already satisfied: yfinance in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (0.2.66)\r\n",
-      "Requirement already satisfied: PyPortfolioOpt in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (1.5.6)\r\n",
-      "Requirement already satisfied: python-dateutil>=2.8.2 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from pandas) (2.9.0.post0)\r\n",
-      "Requirement already satisfied: pytz>=2020.1 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from pandas) (2025.2)\r\n",
-      "Requirement already satisfied: tzdata>=2022.7 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from pandas) (2025.2)\r\n",
-      "Requirement already satisfied: contourpy>=1.0.1 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from matplotlib) (1.3.3)\r\n",
-      "Requirement already satisfied: cycler>=0.10 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from matplotlib) (0.12.1)\r\n",
-      "Requirement already satisfied: fonttools>=4.22.0 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from matplotlib) (4.60.1)\r\n",
-      "Requirement already satisfied: kiwisolver>=1.3.1 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from matplotlib) (1.4.9)\r\n",
-      "Requirement already satisfied: packaging>=20.0 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from matplotlib) (25.0)\r\n",
-      "Requirement already satisfied: pillow>=8 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from matplotlib) (12.0.0)\r\n",
-      "Requirement already satisfied: pyparsing>=3 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from matplotlib) (3.2.5)\r\n",
-      "Requirement already satisfied: requests>=2.31 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from yfinance) (2.32.5)\r\n",
-      "Requirement already satisfied: multitasking>=0.0.7 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from yfinance) (0.0.12)\r\n",
-      "Requirement already satisfied: platformdirs>=2.0.0 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from yfinance) (4.5.0)\r\n",
-      "Requirement already satisfied: frozendict>=2.3.4 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from yfinance) (2.4.7)\r\n",
-      "Requirement already satisfied: peewee>=3.16.2 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from yfinance) (3.18.3)\r\n",
-      "Requirement already satisfied: beautifulsoup4>=4.11.1 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from yfinance) (4.14.2)\r\n",
-      "Requirement already satisfied: curl_cffi>=0.7 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from yfinance) (0.13.0)\r\n",
-      "Requirement already satisfied: protobuf>=3.19.0 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from yfinance) (6.33.0)\r\n",
-      "Requirement already satisfied: websockets>=13.0 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from yfinance) (15.0.1)\r\n",
-      "Requirement already satisfied: cvxpy>=1.1.19 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from PyPortfolioOpt) (1.7.3)\r\n",
-      "Requirement already satisfied: scikit-learn>=0.24.1 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from PyPortfolioOpt) (1.7.2)\r\n",
-      "Requirement already satisfied: scipy>=1.3.0 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from PyPortfolioOpt) (1.16.3)\r\n",
-      "Requirement already satisfied: soupsieve>1.2 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from beautifulsoup4>=4.11.1->yfinance) (2.8)\r\n",
-      "Requirement already satisfied: typing-extensions>=4.0.0 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from beautifulsoup4>=4.11.1->yfinance) (4.15.0)\r\n",
-      "Requirement already satisfied: cffi>=1.12.0 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from curl_cffi>=0.7->yfinance) (2.0.0)\r\n",
-      "Requirement already satisfied: certifi>=2024.2.2 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from curl_cffi>=0.7->yfinance) (2025.11.12)\r\n",
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-      "\r\n",
-      "\u001B[1m[\u001B[0m\u001B[34;49mnotice\u001B[0m\u001B[1;39;49m]\u001B[0m\u001B[39;49m A new release of pip is available: \u001B[0m\u001B[31;49m24.3.1\u001B[0m\u001B[39;49m -> \u001B[0m\u001B[32;49m25.3\u001B[0m\r\n",
-      "\u001B[1m[\u001B[0m\u001B[34;49mnotice\u001B[0m\u001B[1;39;49m]\u001B[0m\u001B[39;49m To update, run: \u001B[0m\u001B[32;49mpip install --upgrade pip\u001B[0m\r\n"
+      "Requirement already satisfied: pandas in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (2.2.3)\n",
+      "Requirement already satisfied: numpy in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (2.4.2)\n",
+      "Requirement already satisfied: matplotlib in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (3.10.0)\n",
+      "Requirement already satisfied: PyPortfolioOpt in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (1.6.0)\n",
+      "Requirement already satisfied: python-dateutil>=2.8.2 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from pandas) (2.9.0.post0)\n",
+      "Requirement already satisfied: pytz>=2020.1 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from pandas) (2025.1)\n",
+      "Requirement already satisfied: tzdata>=2022.7 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from pandas) (2025.1)\n",
+      "Requirement already satisfied: contourpy>=1.0.1 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from matplotlib) (1.3.1)\n",
+      "Requirement already satisfied: cycler>=0.10 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from matplotlib) (0.12.1)\n",
+      "Requirement already satisfied: fonttools>=4.22.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from matplotlib) (4.56.0)\n",
+      "Requirement already satisfied: kiwisolver>=1.3.1 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from matplotlib) (1.4.8)\n",
+      "Requirement already satisfied: packaging>=20.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from matplotlib) (24.2)\n",
+      "Requirement already satisfied: pillow>=8 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from matplotlib) (11.1.0)\n",
+      "Requirement already satisfied: pyparsing>=2.3.1 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from matplotlib) (3.2.1)\n",
+      "Requirement already satisfied: cvxpy>=1.1.19 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from PyPortfolioOpt) (1.8.1)\n",
+      "Requirement already satisfied: scikit-base<0.14.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from PyPortfolioOpt) (0.13.1)\n",
+      "Requirement already satisfied: scikit-learn>=0.24.1 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from PyPortfolioOpt) (1.6.1)\n",
+      "Requirement already satisfied: scipy>=1.3.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from PyPortfolioOpt) (1.15.2)\n",
+      "Requirement already satisfied: osqp>=1.0.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from cvxpy>=1.1.19->PyPortfolioOpt) (1.1.1)\n",
+      "Requirement already satisfied: clarabel>=0.5.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from cvxpy>=1.1.19->PyPortfolioOpt) (0.11.1)\n",
+      "Requirement already satisfied: scs>=3.2.4.post1 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from cvxpy>=1.1.19->PyPortfolioOpt) (3.2.11)\n",
+      "Requirement already satisfied: highspy>=1.11.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from cvxpy>=1.1.19->PyPortfolioOpt) (1.13.1)\n",
+      "Requirement already satisfied: six>=1.5 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from python-dateutil>=2.8.2->pandas) (1.17.0)\n",
+      "Requirement already satisfied: joblib>=1.2.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from scikit-learn>=0.24.1->PyPortfolioOpt) (1.4.2)\n",
+      "Requirement already satisfied: threadpoolctl>=3.1.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from scikit-learn>=0.24.1->PyPortfolioOpt) (3.5.0)\n",
+      "Requirement already satisfied: cffi in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from clarabel>=0.5.0->cvxpy>=1.1.19->PyPortfolioOpt) (1.17.1)\n",
+      "Requirement already satisfied: jinja2 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from osqp>=1.0.0->cvxpy>=1.1.19->PyPortfolioOpt) (3.1.5)\n",
+      "Requirement already satisfied: setuptools in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from osqp>=1.0.0->cvxpy>=1.1.19->PyPortfolioOpt) (65.5.0)\n",
+      "Requirement already satisfied: pycparser in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from cffi->clarabel>=0.5.0->cvxpy>=1.1.19->PyPortfolioOpt) (2.22)\n",
+      "Requirement already satisfied: MarkupSafe>=2.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from jinja2->osqp>=1.0.0->cvxpy>=1.1.19->PyPortfolioOpt) (2.1.5)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "[notice] A new release of pip available: 22.3 -> 26.0.1\n",
+      "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
      ]
     }
    ],
-   "execution_count": 1
+   "source": [
+    "!pip install pandas numpy matplotlib PyPortfolioOpt\n",
+    "import os\n",
+    "if not os.path.isdir('data'):\n",
+    "    os.system('git clone https://github.com/pyportfolio/pyportfolioopt.git')\n",
+    "    os.chdir('PyPortfolioOpt/cookbook')"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 58,
    "metadata": {
-    "id": "yd0GLGye_YO1",
     "ExecuteTime": {
      "end_time": "2025-11-12T08:11:10.264980Z",
      "start_time": "2025-11-12T08:11:09.806374Z"
-    }
+    },
+    "id": "yd0GLGye_YO1"
    },
+   "outputs": [],
    "source": [
-    "import yfinance as yf\n",
     "import pandas as pd\n",
-    "import numpy as np"
-   ],
-   "outputs": [],
-   "execution_count": 2
+    "import numpy as np\n",
+    "from pypfopt.data.data_loader import load_stockdata"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 59,
    "metadata": {
-    "id": "HRko0Vbr_YO2",
     "ExecuteTime": {
      "end_time": "2025-11-12T08:11:10.269816Z",
      "start_time": "2025-11-12T08:11:10.268385Z"
-    }
+    },
+    "id": "HRko0Vbr_YO2"
    },
+   "outputs": [],
    "source": [
     "tickers = [\"BLK\", \"BAC\", \"AAPL\", \"TM\", \"WMT\",\n",
     "           \"JD\", \"INTU\", \"MA\", \"UL\", \"CVS\",\n",
     "           \"DIS\", \"AMD\", \"NVDA\", \"PBI\", \"TGT\"]"
-   ],
-   "outputs": [],
-   "execution_count": 3
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 60,
    "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/"
-    },
-    "id": "b8QidoAw_YO2",
-    "outputId": "cc6b4958-fa84-48d8-9a8a-3dd63d59d085",
     "ExecuteTime": {
-     "end_time": "2025-11-12T08:11:12.635987Z",
-     "start_time": "2025-11-12T08:11:10.275576Z"
-    }
-   },
-   "source": [
-    "ohlc = yf.download(tickers, period=\"max\")"
-   ],
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/var/folders/_3/k_9k5d5n5zz57w7qfll9rzs40000gn/T/ipykernel_60284/3917095853.py:1: FutureWarning: YF.download() has changed argument auto_adjust default to True\n",
-      "  ohlc = yf.download(tickers, period=\"max\")\n",
-      "[*********************100%***********************]  15 of 15 completed\n"
-     ]
-    }
-   ],
-   "execution_count": 4
-  },
-  {
-   "cell_type": "code",
-   "metadata": {
+     "end_time": "2025-11-12T08:11:12.676295Z",
+     "start_time": "2025-11-12T08:11:12.665179Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 368
     },
     "id": "41-UTlPR_YO3",
-    "outputId": "45e79da8-c066-4962-d5e2-57baafa8d68c",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:11:12.676295Z",
-     "start_time": "2025-11-12T08:11:12.665179Z"
-    }
+    "outputId": "45e79da8-c066-4962-d5e2-57baafa8d68c"
    },
+   "outputs": [],
    "source": [
-    "prices = ohlc[\"Close\"]\n",
-    "prices.tail()"
-   ],
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Ticker            AAPL         AMD        BAC          BLK        CVS  \\\n",
-       "Date                                                                    \n",
-       "2025-11-05  269.878387  256.329987  52.450001  1073.569946  78.550003   \n",
-       "2025-11-06  269.508728  237.699997  53.290001  1069.439941  78.660004   \n",
-       "2025-11-07  268.209991  233.539993  53.200001  1082.199951  78.989998   \n",
-       "2025-11-10  269.429993  243.979996  53.419998  1082.630005  77.540001   \n",
-       "2025-11-11  275.250000  237.520004  53.630001  1085.760010  79.870003   \n",
-       "\n",
-       "Ticker             DIS        INTU         JD          MA        NVDA  \\\n",
-       "Date                                                                    \n",
-       "2025-11-05  111.360001  655.330017  32.040001  553.309998  195.210007   \n",
-       "2025-11-06  110.489998  653.640015  31.950001  553.280029  188.080002   \n",
-       "2025-11-07  110.739998  648.849976  31.790001  551.969971  188.149994   \n",
-       "2025-11-10  112.239998  653.270020  31.410000  552.960022  199.050003   \n",
-       "2025-11-11  114.849998  654.320007  31.610001  558.349976  193.160004   \n",
-       "\n",
-       "Ticker           PBI        TGT          TM         UL         WMT  \n",
-       "Date                                                                \n",
-       "2025-11-05  9.389523  91.940002  199.149994  60.760719  101.470001  \n",
-       "2025-11-06  9.280573  89.150002  202.940002  60.383999  101.680000  \n",
-       "2025-11-07  9.340000  91.239998  201.979996  61.470001  102.589996  \n",
-       "2025-11-10  9.270000  90.730003  203.940002  60.810001  102.419998  \n",
-       "2025-11-11  9.440000  91.580002  205.990005  61.070000  103.440002  "
-      ],
-      "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>Ticker</th>\n",
-       "      <th>AAPL</th>\n",
-       "      <th>AMD</th>\n",
-       "      <th>BAC</th>\n",
-       "      <th>BLK</th>\n",
-       "      <th>CVS</th>\n",
-       "      <th>DIS</th>\n",
-       "      <th>INTU</th>\n",
-       "      <th>JD</th>\n",
-       "      <th>MA</th>\n",
-       "      <th>NVDA</th>\n",
-       "      <th>PBI</th>\n",
-       "      <th>TGT</th>\n",
-       "      <th>TM</th>\n",
-       "      <th>UL</th>\n",
-       "      <th>WMT</th>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Date</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>2025-11-05</th>\n",
-       "      <td>269.878387</td>\n",
-       "      <td>256.329987</td>\n",
-       "      <td>52.450001</td>\n",
-       "      <td>1073.569946</td>\n",
-       "      <td>78.550003</td>\n",
-       "      <td>111.360001</td>\n",
-       "      <td>655.330017</td>\n",
-       "      <td>32.040001</td>\n",
-       "      <td>553.309998</td>\n",
-       "      <td>195.210007</td>\n",
-       "      <td>9.389523</td>\n",
-       "      <td>91.940002</td>\n",
-       "      <td>199.149994</td>\n",
-       "      <td>60.760719</td>\n",
-       "      <td>101.470001</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2025-11-06</th>\n",
-       "      <td>269.508728</td>\n",
-       "      <td>237.699997</td>\n",
-       "      <td>53.290001</td>\n",
-       "      <td>1069.439941</td>\n",
-       "      <td>78.660004</td>\n",
-       "      <td>110.489998</td>\n",
-       "      <td>653.640015</td>\n",
-       "      <td>31.950001</td>\n",
-       "      <td>553.280029</td>\n",
-       "      <td>188.080002</td>\n",
-       "      <td>9.280573</td>\n",
-       "      <td>89.150002</td>\n",
-       "      <td>202.940002</td>\n",
-       "      <td>60.383999</td>\n",
-       "      <td>101.680000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2025-11-07</th>\n",
-       "      <td>268.209991</td>\n",
-       "      <td>233.539993</td>\n",
-       "      <td>53.200001</td>\n",
-       "      <td>1082.199951</td>\n",
-       "      <td>78.989998</td>\n",
-       "      <td>110.739998</td>\n",
-       "      <td>648.849976</td>\n",
-       "      <td>31.790001</td>\n",
-       "      <td>551.969971</td>\n",
-       "      <td>188.149994</td>\n",
-       "      <td>9.340000</td>\n",
-       "      <td>91.239998</td>\n",
-       "      <td>201.979996</td>\n",
-       "      <td>61.470001</td>\n",
-       "      <td>102.589996</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2025-11-10</th>\n",
-       "      <td>269.429993</td>\n",
-       "      <td>243.979996</td>\n",
-       "      <td>53.419998</td>\n",
-       "      <td>1082.630005</td>\n",
-       "      <td>77.540001</td>\n",
-       "      <td>112.239998</td>\n",
-       "      <td>653.270020</td>\n",
-       "      <td>31.410000</td>\n",
-       "      <td>552.960022</td>\n",
-       "      <td>199.050003</td>\n",
-       "      <td>9.270000</td>\n",
-       "      <td>90.730003</td>\n",
-       "      <td>203.940002</td>\n",
-       "      <td>60.810001</td>\n",
-       "      <td>102.419998</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2025-11-11</th>\n",
-       "      <td>275.250000</td>\n",
-       "      <td>237.520004</td>\n",
-       "      <td>53.630001</td>\n",
-       "      <td>1085.760010</td>\n",
-       "      <td>79.870003</td>\n",
-       "      <td>114.849998</td>\n",
-       "      <td>654.320007</td>\n",
-       "      <td>31.610001</td>\n",
-       "      <td>558.349976</td>\n",
-       "      <td>193.160004</td>\n",
-       "      <td>9.440000</td>\n",
-       "      <td>91.580002</td>\n",
-       "      <td>205.990005</td>\n",
-       "      <td>61.070000</td>\n",
-       "      <td>103.440002</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "execution_count": 5
+    "prices = load_stockdata(tickers=tickers)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -385,27 +165,38 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 61,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 35
     },
     "id": "5_0F7H7k_YO4",
-    "outputId": "973ab4df-85ba-45bc-a907-2be2ec28793c",
     "jupyter": {
      "is_executing": true
-    }
+    },
+    "outputId": "973ab4df-85ba-45bc-a907-2be2ec28793c"
    },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'1.6.0'"
+      ]
+     },
+     "execution_count": 61,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "import pypfopt\n",
     "pypfopt.__version__"
-   ],
-   "outputs": [],
-   "execution_count": null
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 62,
    "metadata": {
     "id": "U6m_oOBG_YO4"
    },
@@ -420,7 +211,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 63,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -432,7 +223,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
       ]
@@ -447,7 +238,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 64,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -459,7 +250,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -487,7 +278,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 65,
    "metadata": {
     "id": "70ib0FwA_YO5"
    },
@@ -499,7 +290,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 66,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -511,24 +302,24 @@
     {
      "data": {
       "text/plain": [
-       "OrderedDict([('AAPL', 0.04712),\n",
-       "             ('AMD', 0.0),\n",
-       "             ('BAC', 0.03863),\n",
-       "             ('BLK', 0.06667),\n",
-       "             ('CVS', 0.06667),\n",
-       "             ('DIS', 0.06667),\n",
-       "             ('INTU', 0.06667),\n",
-       "             ('JD', 0.19043),\n",
-       "             ('MA', 0.06667),\n",
-       "             ('NVDA', 0.05715),\n",
-       "             ('PBI', 0.06667),\n",
-       "             ('TGT', 0.06667),\n",
+       "OrderedDict([('BLK', 0.06667),\n",
+       "             ('BAC', 0.07983),\n",
+       "             ('AAPL', 0.06667),\n",
        "             ('TM', 0.06667),\n",
+       "             ('WMT', 0.06667),\n",
+       "             ('JD', 0.06667),\n",
+       "             ('INTU', 0.06667),\n",
+       "             ('MA', 0.0443),\n",
        "             ('UL', 0.06667),\n",
-       "             ('WMT', 0.06667)])"
+       "             ('CVS', 0.07587),\n",
+       "             ('DIS', 0.06667),\n",
+       "             ('AMD', 0.06667),\n",
+       "             ('NVDA', 0.06667),\n",
+       "             ('PBI', 0.06667),\n",
+       "             ('TGT', 0.06667)])"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 66,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -556,7 +347,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 67,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -568,24 +359,24 @@
     {
      "data": {
       "text/plain": [
-       "OrderedDict([('AAPL', 0.0),\n",
+       "OrderedDict([('BLK', 0.02806),\n",
+       "             ('BAC', 0.34701),\n",
+       "             ('AAPL', 0.0),\n",
+       "             ('TM', 0.0622),\n",
+       "             ('WMT', 0.06667),\n",
+       "             ('JD', 0.07787),\n",
+       "             ('INTU', 0.0),\n",
+       "             ('MA', 0.0),\n",
+       "             ('UL', 0.0),\n",
+       "             ('CVS', 0.28462),\n",
+       "             ('DIS', 0.0431),\n",
        "             ('AMD', 0.0),\n",
-       "             ('BAC', 0.0),\n",
-       "             ('BLK', 0.06667),\n",
-       "             ('CVS', 0.0538),\n",
-       "             ('DIS', 0.0),\n",
-       "             ('INTU', 0.00851),\n",
-       "             ('JD', 0.298),\n",
-       "             ('MA', 0.27222),\n",
-       "             ('NVDA', 0.0),\n",
+       "             ('NVDA', 0.02379),\n",
        "             ('PBI', 0.0),\n",
-       "             ('TGT', 0.0),\n",
-       "             ('TM', 0.06667),\n",
-       "             ('UL', 0.14875),\n",
-       "             ('WMT', 0.08539)])"
+       "             ('TGT', 0.06667)])"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 67,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -611,7 +402,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 68,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -623,24 +414,24 @@
     {
      "data": {
       "text/plain": [
-       "OrderedDict([('AAPL', 0.0623),\n",
-       "             ('AMD', 0.05356),\n",
-       "             ('BAC', 0.06263),\n",
-       "             ('BLK', 0.07041),\n",
-       "             ('CVS', 0.06715),\n",
-       "             ('DIS', 0.06528),\n",
-       "             ('INTU', 0.06667),\n",
-       "             ('JD', 0.07589),\n",
-       "             ('MA', 0.07336),\n",
-       "             ('NVDA', 0.06317),\n",
-       "             ('PBI', 0.0644),\n",
-       "             ('TGT', 0.06588),\n",
-       "             ('TM', 0.06934),\n",
-       "             ('UL', 0.07131),\n",
-       "             ('WMT', 0.06866)])"
+       "OrderedDict([('BLK', 0.06676),\n",
+       "             ('BAC', 0.07158),\n",
+       "             ('AAPL', 0.06283),\n",
+       "             ('TM', 0.06769),\n",
+       "             ('WMT', 0.06878),\n",
+       "             ('JD', 0.06939),\n",
+       "             ('INTU', 0.06472),\n",
+       "             ('MA', 0.06166),\n",
+       "             ('UL', 0.0629),\n",
+       "             ('CVS', 0.07157),\n",
+       "             ('DIS', 0.06681),\n",
+       "             ('AMD', 0.06446),\n",
+       "             ('NVDA', 0.06675),\n",
+       "             ('PBI', 0.06572),\n",
+       "             ('TGT', 0.06837)])"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 68,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -665,7 +456,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 69,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -677,24 +468,24 @@
     {
      "data": {
       "text/plain": [
-       "OrderedDict([('AAPL', 0.02309),\n",
-       "             ('AMD', 0.0),\n",
-       "             ('BAC', 0.01226),\n",
-       "             ('BLK', 0.099),\n",
-       "             ('CVS', 0.06667),\n",
-       "             ('DIS', 0.04427),\n",
-       "             ('INTU', 0.05892),\n",
-       "             ('JD', 0.16678),\n",
-       "             ('MA', 0.14089),\n",
-       "             ('NVDA', 0.02294),\n",
-       "             ('PBI', 0.03273),\n",
-       "             ('TGT', 0.04921),\n",
-       "             ('TM', 0.08801),\n",
-       "             ('UL', 0.11292),\n",
-       "             ('WMT', 0.08232)])"
+       "OrderedDict([('BLK', 0.06667),\n",
+       "             ('BAC', 0.13774),\n",
+       "             ('AAPL', 0.0232),\n",
+       "             ('TM', 0.07336),\n",
+       "             ('WMT', 0.09046),\n",
+       "             ('JD', 0.09757),\n",
+       "             ('INTU', 0.03845),\n",
+       "             ('MA', 0.013),\n",
+       "             ('UL', 0.02072),\n",
+       "             ('CVS', 0.13294),\n",
+       "             ('DIS', 0.06667),\n",
+       "             ('AMD', 0.0389),\n",
+       "             ('NVDA', 0.06667),\n",
+       "             ('PBI', 0.05086),\n",
+       "             ('TGT', 0.08281)])"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 69,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -710,7 +501,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 70,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -723,9 +514,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Expected annual return: 17.0%\n",
-      "Annual volatility: 10.1%\n",
-      "Sharpe Ratio: 1.69\n"
+      "Expected annual return: 3.0%\n",
+      "Annual volatility: 9.7%\n",
+      "Sharpe Ratio: 0.31\n"
      ]
     }
    ],
@@ -744,7 +535,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 71,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/",
@@ -756,7 +547,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
       ]
@@ -797,7 +588,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 72,
    "metadata": {
     "id": "5WjglE6d_YO9"
    },
@@ -823,7 +614,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 73,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -835,24 +626,24 @@
     {
      "data": {
       "text/plain": [
-       "OrderedDict([('AAPL', 0.03946),\n",
-       "             ('AMD', 0.02568),\n",
-       "             ('BAC', 0.0386),\n",
-       "             ('BLK', 0.07889),\n",
-       "             ('CVS', 0.05889),\n",
-       "             ('DIS', 0.04687),\n",
-       "             ('INTU', 0.05174),\n",
-       "             ('JD', 0.17291),\n",
-       "             ('MA', 0.12155),\n",
-       "             ('NVDA', 0.03982),\n",
-       "             ('PBI', 0.04325),\n",
-       "             ('TGT', 0.04885),\n",
-       "             ('TM', 0.07227),\n",
-       "             ('UL', 0.09158),\n",
-       "             ('WMT', 0.06963)])"
+       "OrderedDict([('BLK', 0.06134),\n",
+       "             ('BAC', 0.12392),\n",
+       "             ('AAPL', 0.04174),\n",
+       "             ('TM', 0.06798),\n",
+       "             ('WMT', 0.07782),\n",
+       "             ('JD', 0.0837),\n",
+       "             ('INTU', 0.04715),\n",
+       "             ('MA', 0.03877),\n",
+       "             ('UL', 0.04158),\n",
+       "             ('CVS', 0.12008),\n",
+       "             ('DIS', 0.06228),\n",
+       "             ('AMD', 0.04705),\n",
+       "             ('NVDA', 0.06144),\n",
+       "             ('PBI', 0.05161),\n",
+       "             ('TGT', 0.07355)])"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 73,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -866,7 +657,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 74,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -879,9 +670,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Expected annual return: 18.0%\n",
-      "Annual volatility: 10.7%\n",
-      "Sharpe Ratio: 1.68\n"
+      "Expected annual return: 3.3%\n",
+      "Annual volatility: 10.1%\n",
+      "Sharpe Ratio: 0.32\n"
      ]
     }
    ],
@@ -900,7 +691,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 75,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -912,24 +703,24 @@
     {
      "data": {
       "text/plain": [
-       "OrderedDict([('AAPL', 0.03989),\n",
-       "             ('AMD', 0.02581),\n",
-       "             ('BAC', 0.03888),\n",
-       "             ('BLK', 0.08151),\n",
-       "             ('CVS', 0.06007),\n",
-       "             ('DIS', 0.04754),\n",
-       "             ('INTU', 0.05276),\n",
-       "             ('JD', 0.15),\n",
-       "             ('MA', 0.12901),\n",
-       "             ('NVDA', 0.04043),\n",
-       "             ('PBI', 0.04397),\n",
-       "             ('TGT', 0.04958),\n",
-       "             ('TM', 0.07429),\n",
-       "             ('UL', 0.09494),\n",
-       "             ('WMT', 0.0713)])"
+       "OrderedDict([('BLK', 0.06135),\n",
+       "             ('BAC', 0.12391),\n",
+       "             ('AAPL', 0.04174),\n",
+       "             ('TM', 0.06797),\n",
+       "             ('WMT', 0.07782),\n",
+       "             ('JD', 0.08367),\n",
+       "             ('INTU', 0.04715),\n",
+       "             ('MA', 0.03877),\n",
+       "             ('UL', 0.04158),\n",
+       "             ('CVS', 0.12007),\n",
+       "             ('DIS', 0.0623),\n",
+       "             ('AMD', 0.04706),\n",
+       "             ('NVDA', 0.06144),\n",
+       "             ('PBI', 0.05163),\n",
+       "             ('TGT', 0.07354)])"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 75,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -960,7 +751,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 76,
    "metadata": {
     "id": "WYIshUU__YO-"
    },
@@ -973,7 +764,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 77,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -985,24 +776,24 @@
     {
      "data": {
       "text/plain": [
-       "OrderedDict([('AAPL', 0.04227),\n",
-       "             ('AMD', 0.03306),\n",
-       "             ('BAC', 0.04204),\n",
-       "             ('BLK', 0.08771),\n",
-       "             ('CVS', 0.0706),\n",
-       "             ('DIS', 0.0552),\n",
-       "             ('INTU', 0.06376),\n",
-       "             ('JD', 0.10104),\n",
-       "             ('MA', 0.09691),\n",
-       "             ('NVDA', 0.04684),\n",
-       "             ('PBI', 0.05062),\n",
-       "             ('TGT', 0.0585),\n",
-       "             ('TM', 0.08268),\n",
-       "             ('UL', 0.09063),\n",
-       "             ('WMT', 0.07813)])"
+       "OrderedDict([('BLK', 0.06667),\n",
+       "             ('BAC', 0.06667),\n",
+       "             ('AAPL', 0.06667),\n",
+       "             ('TM', 0.06667),\n",
+       "             ('WMT', 0.06667),\n",
+       "             ('JD', 0.06667),\n",
+       "             ('INTU', 0.06667),\n",
+       "             ('MA', 0.06667),\n",
+       "             ('UL', 0.06667),\n",
+       "             ('CVS', 0.06667),\n",
+       "             ('DIS', 0.06667),\n",
+       "             ('AMD', 0.06667),\n",
+       "             ('NVDA', 0.06667),\n",
+       "             ('PBI', 0.06667),\n",
+       "             ('TGT', 0.06667)])"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 77,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1045,7 +836,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 78,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -1057,24 +848,24 @@
     {
      "data": {
       "text/plain": [
-       "OrderedDict([('AAPL', 0.05695),\n",
-       "             ('AMD', 0.0304),\n",
-       "             ('BAC', 0.05892),\n",
-       "             ('BLK', 0.07322),\n",
-       "             ('CVS', 0.06945),\n",
-       "             ('DIS', 0.0644),\n",
-       "             ('INTU', 0.06689),\n",
+       "OrderedDict([('BLK', 0.06439),\n",
+       "             ('BAC', 0.06453),\n",
+       "             ('AAPL', 0.06398),\n",
+       "             ('TM', 0.06443),\n",
+       "             ('WMT', 0.06447),\n",
        "             ('JD', 0.1),\n",
-       "             ('MA', 0.07491),\n",
-       "             ('NVDA', 0.05933),\n",
-       "             ('PBI', 0.06263),\n",
-       "             ('TGT', 0.06564),\n",
-       "             ('TM', 0.07206),\n",
-       "             ('UL', 0.07388),\n",
-       "             ('WMT', 0.07132)])"
+       "             ('INTU', 0.06418),\n",
+       "             ('MA', 0.06384),\n",
+       "             ('UL', 0.064),\n",
+       "             ('CVS', 0.06454),\n",
+       "             ('DIS', 0.06439),\n",
+       "             ('AMD', 0.06414),\n",
+       "             ('NVDA', 0.06439),\n",
+       "             ('PBI', 0.06425),\n",
+       "             ('TGT', 0.06446)])"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 78,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1108,7 +899,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 79,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -1120,24 +911,24 @@
     {
      "data": {
       "text/plain": [
-       "OrderedDict([('AAPL', 0.04699),\n",
-       "             ('AMD', 0.03341),\n",
-       "             ('BAC', 0.04672),\n",
-       "             ('BLK', 0.07872),\n",
-       "             ('CVS', 0.06334),\n",
-       "             ('DIS', 0.05386),\n",
-       "             ('INTU', 0.05806),\n",
-       "             ('JD', 0.13128),\n",
-       "             ('MA', 0.10312),\n",
-       "             ('NVDA', 0.04802),\n",
-       "             ('PBI', 0.05095),\n",
-       "             ('TGT', 0.05554),\n",
-       "             ('TM', 0.07354),\n",
-       "             ('UL', 0.08566),\n",
-       "             ('WMT', 0.07079)])"
+       "OrderedDict([('BLK', 0.06414),\n",
+       "             ('BAC', 0.10512),\n",
+       "             ('AAPL', 0.04703),\n",
+       "             ('TM', 0.06939),\n",
+       "             ('WMT', 0.07655),\n",
+       "             ('JD', 0.08082),\n",
+       "             ('INTU', 0.05212),\n",
+       "             ('MA', 0.04418),\n",
+       "             ('UL', 0.04686),\n",
+       "             ('CVS', 0.10367),\n",
+       "             ('DIS', 0.0648),\n",
+       "             ('AMD', 0.05179),\n",
+       "             ('NVDA', 0.06425),\n",
+       "             ('PBI', 0.05574),\n",
+       "             ('TGT', 0.07354)])"
       ]
      },
-     "execution_count": 24,
+     "execution_count": 79,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1157,7 +948,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 80,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -1169,24 +960,24 @@
     {
      "data": {
       "text/plain": [
-       "OrderedDict([('AAPL', 0.1),\n",
-       "             ('AMD', 0.0339),\n",
-       "             ('BAC', 0.04866),\n",
-       "             ('BLK', 0.07516),\n",
-       "             ('CVS', 0.06205),\n",
-       "             ('DIS', 0.05424),\n",
-       "             ('INTU', 0.05646),\n",
-       "             ('JD', 0.11054),\n",
-       "             ('MA', 0.09092),\n",
-       "             ('NVDA', 0.049),\n",
-       "             ('PBI', 0.05258),\n",
-       "             ('TGT', 0.05526),\n",
-       "             ('TM', 0.06836),\n",
-       "             ('UL', 0.0771),\n",
-       "             ('WMT', 0.06577)])"
+       "OrderedDict([('BLK', 0.1),\n",
+       "             ('BAC', 0.09752),\n",
+       "             ('AAPL', 0.04681),\n",
+       "             ('TM', 0.06702),\n",
+       "             ('WMT', 0.07246),\n",
+       "             ('JD', 0.07691),\n",
+       "             ('INTU', 0.05186),\n",
+       "             ('MA', 0.04374),\n",
+       "             ('UL', 0.04673),\n",
+       "             ('CVS', 0.09528),\n",
+       "             ('DIS', 0.06269),\n",
+       "             ('AMD', 0.05138),\n",
+       "             ('NVDA', 0.06267),\n",
+       "             ('PBI', 0.05454),\n",
+       "             ('TGT', 0.07039)])"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 80,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1203,7 +994,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 81,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -1215,24 +1006,24 @@
     {
      "data": {
       "text/plain": [
-       "OrderedDict([('AAPL', 0.09422),\n",
-       "             ('AMD', 0.1627),\n",
-       "             ('BAC', 0.04346),\n",
-       "             ('BLK', -0.04221),\n",
-       "             ('CVS', -0.1778),\n",
-       "             ('DIS', 0.20785),\n",
-       "             ('INTU', 0.1059),\n",
-       "             ('JD', 0.31068),\n",
-       "             ('MA', 0.37613),\n",
-       "             ('NVDA', 0.41065),\n",
-       "             ('PBI', -0.02656),\n",
-       "             ('TGT', 0.01202),\n",
-       "             ('TM', -0.47356),\n",
-       "             ('UL', -0.83251),\n",
-       "             ('WMT', -0.17096)])"
+       "OrderedDict([('BLK', -0.00721),\n",
+       "             ('BAC', -0.47178),\n",
+       "             ('AAPL', 0.30834),\n",
+       "             ('TM', 0.11669),\n",
+       "             ('WMT', -0.12519),\n",
+       "             ('JD', -0.00213),\n",
+       "             ('INTU', 0.00338),\n",
+       "             ('MA', 0.33556),\n",
+       "             ('UL', 0.33878),\n",
+       "             ('CVS', -0.81831),\n",
+       "             ('DIS', 0.11905),\n",
+       "             ('AMD', 0.21248),\n",
+       "             ('NVDA', -0.09365),\n",
+       "             ('PBI', 0.22629),\n",
+       "             ('TGT', -0.1423)])"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 81,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1265,7 +1056,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 82,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -1277,24 +1068,24 @@
     {
      "data": {
       "text/plain": [
-       "OrderedDict([('AAPL', 0.0),\n",
-       "             ('AMD', 0.05561),\n",
+       "OrderedDict([('BLK', 0.0),\n",
        "             ('BAC', 0.0),\n",
-       "             ('BLK', 0.0),\n",
-       "             ('CVS', 0.0),\n",
-       "             ('DIS', 0.0),\n",
-       "             ('INTU', 0.0),\n",
+       "             ('AAPL', 0.2054),\n",
+       "             ('TM', 0.00401),\n",
+       "             ('WMT', 0.0),\n",
        "             ('JD', 0.0),\n",
-       "             ('MA', 0.0),\n",
-       "             ('NVDA', 0.94439),\n",
-       "             ('PBI', 0.0),\n",
-       "             ('TGT', 0.0),\n",
-       "             ('TM', 0.0),\n",
-       "             ('UL', 0.0),\n",
-       "             ('WMT', 0.0)])"
+       "             ('INTU', 0.0),\n",
+       "             ('MA', 0.24622),\n",
+       "             ('UL', 0.23133),\n",
+       "             ('CVS', 0.0),\n",
+       "             ('DIS', 0.02419),\n",
+       "             ('AMD', 0.14958),\n",
+       "             ('NVDA', 0.0),\n",
+       "             ('PBI', 0.13927),\n",
+       "             ('TGT', 0.0)])"
       ]
      },
-     "execution_count": 27,
+     "execution_count": 82,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1318,7 +1109,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 83,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -1330,10 +1121,10 @@
     {
      "data": {
       "text/plain": [
-       "np.float64(1.0)"
+       "np.float64(0.9999999999999999)"
       ]
      },
-     "execution_count": 28,
+     "execution_count": 83,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1344,7 +1135,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 84,
    "metadata": {
     "colab": {
      "base_uri": "https://localhost:8080/"
@@ -1356,24 +1147,24 @@
     {
      "data": {
       "text/plain": [
-       "OrderedDict([('AAPL', 0.06667),\n",
-       "             ('AMD', 0.06667),\n",
+       "OrderedDict([('BLK', 0.06667),\n",
        "             ('BAC', 0.06667),\n",
-       "             ('BLK', 0.06667),\n",
-       "             ('CVS', 0.06667),\n",
-       "             ('DIS', 0.06667),\n",
-       "             ('INTU', 0.06667),\n",
+       "             ('AAPL', 0.06667),\n",
+       "             ('TM', 0.06667),\n",
+       "             ('WMT', 0.06667),\n",
        "             ('JD', 0.06667),\n",
+       "             ('INTU', 0.06667),\n",
        "             ('MA', 0.06667),\n",
+       "             ('UL', 0.06667),\n",
+       "             ('CVS', 0.06667),\n",
+       "             ('DIS', 0.06667),\n",
+       "             ('AMD', 0.06667),\n",
        "             ('NVDA', 0.06667),\n",
        "             ('PBI', 0.06667),\n",
-       "             ('TGT', 0.06667),\n",
-       "             ('TM', 0.06667),\n",
-       "             ('UL', 0.06667),\n",
-       "             ('WMT', 0.06667)])"
+       "             ('TGT', 0.06667)])"
       ]
      },
-     "execution_count": 29,
+     "execution_count": 84,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1409,9 +1200,9 @@
    "provenance": []
   },
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "name": "python3",
-   "language": "python"
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -1423,7 +1214,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.4"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/cookbook/4-Black-Litterman-Allocation.ipynb b/cookbook/4-Black-Litterman-Allocation.ipynb
index 46c1a0b8..6d361ee5 100644
--- a/cookbook/4-Black-Litterman-Allocation.ipynb
+++ b/cookbook/4-Black-Litterman-Allocation.ipynb
@@ -35,156 +35,118 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 55,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:11:48.286018Z",
+     "start_time": "2025-11-12T08:11:47.649567Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "sXdbiHc0AnfS",
-    "outputId": "5ced30c2-5248-4827-a15d-955380574b51",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:11:48.286018Z",
-     "start_time": "2025-11-12T08:11:47.649567Z"
-    }
+    "outputId": "5ced30c2-5248-4827-a15d-955380574b51"
    },
-   "source": [
-    "!pip install pandas numpy matplotlib yfinance PyPortfolioOpt\n",
-    "import os\n",
-    "if not os.path.isdir('data'):\n",
-    "    os.system('git clone https://github.com/pyportfolio/pyportfolioopt.git')\n",
-    "    os.chdir('PyPortfolioOpt/cookbook')"
-   ],
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Requirement already satisfied: pandas in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (2.3.3)\r\n",
-      "Requirement already satisfied: numpy in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (2.3.4)\r\n",
-      "Requirement already satisfied: matplotlib in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (3.10.7)\r\n",
-      "Requirement already satisfied: yfinance in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (0.2.66)\r\n",
-      "Requirement already satisfied: PyPortfolioOpt in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (1.5.6)\r\n",
-      "Requirement already satisfied: python-dateutil>=2.8.2 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from pandas) (2.9.0.post0)\r\n",
-      "Requirement already satisfied: pytz>=2020.1 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from pandas) (2025.2)\r\n",
-      "Requirement already satisfied: tzdata>=2022.7 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from pandas) (2025.2)\r\n",
-      "Requirement already satisfied: contourpy>=1.0.1 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from matplotlib) (1.3.3)\r\n",
-      "Requirement already satisfied: cycler>=0.10 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from matplotlib) (0.12.1)\r\n",
-      "Requirement already satisfied: fonttools>=4.22.0 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from matplotlib) (4.60.1)\r\n",
-      "Requirement already satisfied: kiwisolver>=1.3.1 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from matplotlib) (1.4.9)\r\n",
-      "Requirement already satisfied: packaging>=20.0 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from matplotlib) (25.0)\r\n",
-      "Requirement already satisfied: pillow>=8 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from matplotlib) (12.0.0)\r\n",
-      "Requirement already satisfied: pyparsing>=3 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from matplotlib) (3.2.5)\r\n",
-      "Requirement already satisfied: requests>=2.31 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from yfinance) (2.32.5)\r\n",
-      "Requirement already satisfied: multitasking>=0.0.7 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from yfinance) (0.0.12)\r\n",
-      "Requirement already satisfied: platformdirs>=2.0.0 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from yfinance) (4.5.0)\r\n",
-      "Requirement already satisfied: frozendict>=2.3.4 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from yfinance) (2.4.7)\r\n",
-      "Requirement already satisfied: peewee>=3.16.2 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from yfinance) (3.18.3)\r\n",
-      "Requirement already satisfied: beautifulsoup4>=4.11.1 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from yfinance) (4.14.2)\r\n",
-      "Requirement already satisfied: curl_cffi>=0.7 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from yfinance) (0.13.0)\r\n",
-      "Requirement already satisfied: protobuf>=3.19.0 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from yfinance) (6.33.0)\r\n",
-      "Requirement already satisfied: websockets>=13.0 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from yfinance) (15.0.1)\r\n",
-      "Requirement already satisfied: cvxpy>=1.1.19 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from PyPortfolioOpt) (1.7.3)\r\n",
-      "Requirement already satisfied: scikit-learn>=0.24.1 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from PyPortfolioOpt) (1.7.2)\r\n",
-      "Requirement already satisfied: scipy>=1.3.0 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from PyPortfolioOpt) (1.16.3)\r\n",
-      "Requirement already satisfied: soupsieve>1.2 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from beautifulsoup4>=4.11.1->yfinance) (2.8)\r\n",
-      "Requirement already satisfied: typing-extensions>=4.0.0 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from beautifulsoup4>=4.11.1->yfinance) (4.15.0)\r\n",
-      "Requirement already satisfied: cffi>=1.12.0 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from curl_cffi>=0.7->yfinance) (2.0.0)\r\n",
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-      "Requirement already satisfied: osqp>=1.0.0 in /Users/thomasschmelzer/projects/PyPortfolioOpt/.venv/lib/python3.12/site-packages (from cvxpy>=1.1.19->PyPortfolioOpt) (1.0.5)\r\n",
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-      "\r\n",
-      "\u001B[1m[\u001B[0m\u001B[34;49mnotice\u001B[0m\u001B[1;39;49m]\u001B[0m\u001B[39;49m A new release of pip is available: \u001B[0m\u001B[31;49m24.3.1\u001B[0m\u001B[39;49m -> \u001B[0m\u001B[32;49m25.3\u001B[0m\r\n",
-      "\u001B[1m[\u001B[0m\u001B[34;49mnotice\u001B[0m\u001B[1;39;49m]\u001B[0m\u001B[39;49m To update, run: \u001B[0m\u001B[32;49mpip install --upgrade pip\u001B[0m\r\n"
+      "Requirement already satisfied: pandas in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (2.2.3)\n",
+      "Requirement already satisfied: numpy in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (2.4.2)\n",
+      "Requirement already satisfied: matplotlib in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (3.10.0)\n",
+      "Requirement already satisfied: PyPortfolioOpt in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (1.6.0)\n",
+      "Requirement already satisfied: python-dateutil>=2.8.2 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from pandas) (2.9.0.post0)\n",
+      "Requirement already satisfied: pytz>=2020.1 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from pandas) (2025.1)\n",
+      "Requirement already satisfied: tzdata>=2022.7 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from pandas) (2025.1)\n",
+      "Requirement already satisfied: contourpy>=1.0.1 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from matplotlib) (1.3.1)\n",
+      "Requirement already satisfied: cycler>=0.10 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from matplotlib) (0.12.1)\n",
+      "Requirement already satisfied: fonttools>=4.22.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from matplotlib) (4.56.0)\n",
+      "Requirement already satisfied: kiwisolver>=1.3.1 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from matplotlib) (1.4.8)\n",
+      "Requirement already satisfied: packaging>=20.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from matplotlib) (24.2)\n",
+      "Requirement already satisfied: pillow>=8 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from matplotlib) (11.1.0)\n",
+      "Requirement already satisfied: pyparsing>=2.3.1 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from matplotlib) (3.2.1)\n",
+      "Requirement already satisfied: cvxpy>=1.1.19 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from PyPortfolioOpt) (1.8.1)\n",
+      "Requirement already satisfied: scikit-base<0.14.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from PyPortfolioOpt) (0.13.1)\n",
+      "Requirement already satisfied: scikit-learn>=0.24.1 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from PyPortfolioOpt) (1.6.1)\n",
+      "Requirement already satisfied: scipy>=1.3.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from PyPortfolioOpt) (1.15.2)\n",
+      "Requirement already satisfied: osqp>=1.0.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from cvxpy>=1.1.19->PyPortfolioOpt) (1.1.1)\n",
+      "Requirement already satisfied: clarabel>=0.5.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from cvxpy>=1.1.19->PyPortfolioOpt) (0.11.1)\n",
+      "Requirement already satisfied: scs>=3.2.4.post1 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from cvxpy>=1.1.19->PyPortfolioOpt) (3.2.11)\n",
+      "Requirement already satisfied: highspy>=1.11.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from cvxpy>=1.1.19->PyPortfolioOpt) (1.13.1)\n",
+      "Requirement already satisfied: six>=1.5 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from python-dateutil>=2.8.2->pandas) (1.17.0)\n",
+      "Requirement already satisfied: joblib>=1.2.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from scikit-learn>=0.24.1->PyPortfolioOpt) (1.4.2)\n",
+      "Requirement already satisfied: threadpoolctl>=3.1.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from scikit-learn>=0.24.1->PyPortfolioOpt) (3.5.0)\n",
+      "Requirement already satisfied: cffi in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from clarabel>=0.5.0->cvxpy>=1.1.19->PyPortfolioOpt) (1.17.1)\n",
+      "Requirement already satisfied: jinja2 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from osqp>=1.0.0->cvxpy>=1.1.19->PyPortfolioOpt) (3.1.5)\n",
+      "Requirement already satisfied: setuptools in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from osqp>=1.0.0->cvxpy>=1.1.19->PyPortfolioOpt) (65.5.0)\n",
+      "Requirement already satisfied: pycparser in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from cffi->clarabel>=0.5.0->cvxpy>=1.1.19->PyPortfolioOpt) (2.22)\n",
+      "Requirement already satisfied: MarkupSafe>=2.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from jinja2->osqp>=1.0.0->cvxpy>=1.1.19->PyPortfolioOpt) (2.1.5)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "[notice] A new release of pip available: 22.3 -> 26.0.1\n",
+      "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
      ]
     }
    ],
-   "execution_count": 6
+   "source": [
+    "!pip install pandas numpy matplotlib PyPortfolioOpt\n",
+    "import os\n",
+    "if not os.path.isdir('data'):\n",
+    "    os.system('git clone https://github.com/pyportfolio/pyportfolioopt.git')\n",
+    "    os.chdir('PyPortfolioOpt/cookbook')"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 56,
    "metadata": {
-    "id": "bs5cBlLfAbNf",
     "ExecuteTime": {
      "end_time": "2025-11-12T08:11:48.297230Z",
      "start_time": "2025-11-12T08:11:48.294399Z"
-    }
+    },
+    "id": "bs5cBlLfAbNf"
    },
+   "outputs": [],
    "source": [
     "import numpy as np\n",
     "import pandas as pd\n",
     "import matplotlib.pyplot as plt\n",
-    "import yfinance as yf"
-   ],
-   "outputs": [],
-   "execution_count": 7
+    "from pypfopt.data.data_loader import load_stockdata, load_marketcaps"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 57,
    "metadata": {
-    "id": "_2kfAeqOAbNg",
     "ExecuteTime": {
      "end_time": "2025-11-12T08:11:48.315503Z",
      "start_time": "2025-11-12T08:11:48.312797Z"
-    }
+    },
+    "id": "_2kfAeqOAbNg"
    },
+   "outputs": [],
    "source": [
     "tickers = [\"MSFT\", \"AMZN\", \"NAT\", \"BAC\", \"DPZ\", \"DIS\", \"KO\", \"MCD\", \"COST\", \"SBUX\"]"
-   ],
-   "outputs": [],
-   "execution_count": 8
+   ]
   },
   {
+   "cell_type": "code",
+   "execution_count": 58,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2025-11-12T08:11:49.603251Z",
      "start_time": "2025-11-12T08:11:48.335629Z"
     }
    },
-   "cell_type": "code",
-   "source": [
-    "ohlc = yf.download(tickers, period=\"max\")\n",
-    "prices = ohlc[\"Close\"]\n",
-    "prices.tail()"
-   ],
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/var/folders/_3/k_9k5d5n5zz57w7qfll9rzs40000gn/T/ipykernel_60334/2708075403.py:1: FutureWarning: YF.download() has changed argument auto_adjust default to True\n",
-      "  ohlc = yf.download(tickers, period=\"max\")\n",
-      "[*********************100%***********************]  10 of 10 completed\n"
-     ]
-    },
     {
      "data": {
-      "text/plain": [
-       "Ticker            AMZN        BAC        COST         DIS         DPZ  \\\n",
-       "Date                                                                    \n",
-       "2025-11-05  250.199997  52.450001  935.030029  111.360001  400.410004   \n",
-       "2025-11-06  243.039993  53.290001  923.580017  110.489998  401.459991   \n",
-       "2025-11-07  244.410004  53.200001  922.739990  110.739998  410.179993   \n",
-       "2025-11-10  248.399994  53.419998  915.559998  112.239998  407.589996   \n",
-       "2025-11-11  249.100006  53.630001  913.859985  114.849998  409.230011   \n",
-       "\n",
-       "Ticker             KO         MCD        MSFT   NAT       SBUX  \n",
-       "Date                                                            \n",
-       "2025-11-05  68.510002  305.670013  507.160004  3.57  82.879997  \n",
-       "2025-11-06  69.059998  298.410004  497.100006  3.59  82.220001  \n",
-       "2025-11-07  70.550003  299.660004  496.820007  3.56  85.570000  \n",
-       "2025-11-10  70.519997  299.100006  506.000000  3.65  84.599998  \n",
-       "2025-11-11  71.610001  306.829987  508.679993  3.63  86.419998  "
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -203,20 +165,20 @@
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
-       "      <th>Ticker</th>\n",
+       "      <th></th>\n",
+       "      <th>MSFT</th>\n",
        "      <th>AMZN</th>\n",
+       "      <th>NAT</th>\n",
        "      <th>BAC</th>\n",
-       "      <th>COST</th>\n",
-       "      <th>DIS</th>\n",
        "      <th>DPZ</th>\n",
+       "      <th>DIS</th>\n",
        "      <th>KO</th>\n",
        "      <th>MCD</th>\n",
-       "      <th>MSFT</th>\n",
-       "      <th>NAT</th>\n",
+       "      <th>COST</th>\n",
        "      <th>SBUX</th>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Date</th>\n",
+       "      <th>date</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
@@ -231,115 +193,207 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>2025-11-05</th>\n",
-       "      <td>250.199997</td>\n",
-       "      <td>52.450001</td>\n",
-       "      <td>935.030029</td>\n",
-       "      <td>111.360001</td>\n",
-       "      <td>400.410004</td>\n",
-       "      <td>68.510002</td>\n",
-       "      <td>305.670013</td>\n",
-       "      <td>507.160004</td>\n",
-       "      <td>3.57</td>\n",
-       "      <td>82.879997</td>\n",
+       "      <th>2021-01-01</th>\n",
+       "      <td>131.295831</td>\n",
+       "      <td>296.721734</td>\n",
+       "      <td>232.401545</td>\n",
+       "      <td>243.061192</td>\n",
+       "      <td>232.251792</td>\n",
+       "      <td>226.714336</td>\n",
+       "      <td>205.824532</td>\n",
+       "      <td>127.745580</td>\n",
+       "      <td>51.380529</td>\n",
+       "      <td>79.898561</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2021-01-04</th>\n",
+       "      <td>130.283265</td>\n",
+       "      <td>296.899868</td>\n",
+       "      <td>238.671610</td>\n",
+       "      <td>241.727036</td>\n",
+       "      <td>231.373707</td>\n",
+       "      <td>226.031949</td>\n",
+       "      <td>206.444122</td>\n",
+       "      <td>127.140749</td>\n",
+       "      <td>50.781585</td>\n",
+       "      <td>79.547343</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2021-01-05</th>\n",
+       "      <td>134.250739</td>\n",
+       "      <td>297.407284</td>\n",
+       "      <td>245.713955</td>\n",
+       "      <td>240.661725</td>\n",
+       "      <td>230.162426</td>\n",
+       "      <td>225.185988</td>\n",
+       "      <td>203.873733</td>\n",
+       "      <td>130.591434</td>\n",
+       "      <td>50.790121</td>\n",
+       "      <td>80.452200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2021-01-06</th>\n",
+       "      <td>136.706214</td>\n",
+       "      <td>294.030801</td>\n",
+       "      <td>246.661663</td>\n",
+       "      <td>239.795313</td>\n",
+       "      <td>236.112588</td>\n",
+       "      <td>230.128279</td>\n",
+       "      <td>201.033590</td>\n",
+       "      <td>131.184790</td>\n",
+       "      <td>51.596978</td>\n",
+       "      <td>81.184599</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2025-11-06</th>\n",
-       "      <td>243.039993</td>\n",
-       "      <td>53.290001</td>\n",
-       "      <td>923.580017</td>\n",
-       "      <td>110.489998</td>\n",
-       "      <td>401.459991</td>\n",
-       "      <td>69.059998</td>\n",
-       "      <td>298.410004</td>\n",
-       "      <td>497.100006</td>\n",
-       "      <td>3.59</td>\n",
-       "      <td>82.220001</td>\n",
+       "      <th>2021-01-07</th>\n",
+       "      <td>139.795039</td>\n",
+       "      <td>297.587133</td>\n",
+       "      <td>244.974456</td>\n",
+       "      <td>239.231142</td>\n",
+       "      <td>232.953930</td>\n",
+       "      <td>230.539394</td>\n",
+       "      <td>200.653953</td>\n",
+       "      <td>133.182859</td>\n",
+       "      <td>52.020537</td>\n",
+       "      <td>81.299196</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2025-11-07</th>\n",
-       "      <td>244.410004</td>\n",
-       "      <td>53.200001</td>\n",
-       "      <td>922.739990</td>\n",
-       "      <td>110.739998</td>\n",
-       "      <td>410.179993</td>\n",
-       "      <td>70.550003</td>\n",
-       "      <td>299.660004</td>\n",
-       "      <td>496.820007</td>\n",
-       "      <td>3.56</td>\n",
-       "      <td>85.570000</td>\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",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2025-11-10</th>\n",
-       "      <td>248.399994</td>\n",
-       "      <td>53.419998</td>\n",
-       "      <td>915.559998</td>\n",
-       "      <td>112.239998</td>\n",
-       "      <td>407.589996</td>\n",
-       "      <td>70.519997</td>\n",
-       "      <td>299.100006</td>\n",
-       "      <td>506.000000</td>\n",
-       "      <td>3.65</td>\n",
-       "      <td>84.599998</td>\n",
+       "      <th>2023-11-20</th>\n",
+       "      <td>177.462826</td>\n",
+       "      <td>464.912592</td>\n",
+       "      <td>672.301063</td>\n",
+       "      <td>387.472514</td>\n",
+       "      <td>261.603321</td>\n",
+       "      <td>376.332974</td>\n",
+       "      <td>101.317900</td>\n",
+       "      <td>168.578776</td>\n",
+       "      <td>68.069208</td>\n",
+       "      <td>67.267696</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2025-11-11</th>\n",
-       "      <td>249.100006</td>\n",
-       "      <td>53.630001</td>\n",
-       "      <td>913.859985</td>\n",
-       "      <td>114.849998</td>\n",
-       "      <td>409.230011</td>\n",
-       "      <td>71.610001</td>\n",
-       "      <td>306.829987</td>\n",
-       "      <td>508.679993</td>\n",
-       "      <td>3.63</td>\n",
-       "      <td>86.419998</td>\n",
+       "      <th>2023-11-21</th>\n",
+       "      <td>176.200688</td>\n",
+       "      <td>467.773657</td>\n",
+       "      <td>671.947264</td>\n",
+       "      <td>384.432159</td>\n",
+       "      <td>260.850804</td>\n",
+       "      <td>369.415006</td>\n",
+       "      <td>101.433351</td>\n",
+       "      <td>173.110283</td>\n",
+       "      <td>67.963309</td>\n",
+       "      <td>67.056869</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-11-22</th>\n",
+       "      <td>177.577507</td>\n",
+       "      <td>471.595354</td>\n",
+       "      <td>672.801908</td>\n",
+       "      <td>387.754766</td>\n",
+       "      <td>262.512227</td>\n",
+       "      <td>363.789606</td>\n",
+       "      <td>101.905173</td>\n",
+       "      <td>171.934122</td>\n",
+       "      <td>66.529335</td>\n",
+       "      <td>66.072427</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-11-23</th>\n",
+       "      <td>174.334341</td>\n",
+       "      <td>466.324903</td>\n",
+       "      <td>651.524261</td>\n",
+       "      <td>392.006779</td>\n",
+       "      <td>257.600156</td>\n",
+       "      <td>356.779867</td>\n",
+       "      <td>101.794949</td>\n",
+       "      <td>175.722651</td>\n",
+       "      <td>67.520947</td>\n",
+       "      <td>65.352407</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-11-24</th>\n",
+       "      <td>174.039155</td>\n",
+       "      <td>460.050858</td>\n",
+       "      <td>651.204185</td>\n",
+       "      <td>399.344748</td>\n",
+       "      <td>254.430849</td>\n",
+       "      <td>357.875239</td>\n",
+       "      <td>102.296637</td>\n",
+       "      <td>172.569006</td>\n",
+       "      <td>68.463430</td>\n",
+       "      <td>65.708388</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
+       "<p>756 rows × 10 columns</p>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "                  MSFT        AMZN         NAT         BAC         DPZ  \\\n",
+       "date                                                                     \n",
+       "2021-01-01  131.295831  296.721734  232.401545  243.061192  232.251792   \n",
+       "2021-01-04  130.283265  296.899868  238.671610  241.727036  231.373707   \n",
+       "2021-01-05  134.250739  297.407284  245.713955  240.661725  230.162426   \n",
+       "2021-01-06  136.706214  294.030801  246.661663  239.795313  236.112588   \n",
+       "2021-01-07  139.795039  297.587133  244.974456  239.231142  232.953930   \n",
+       "...                ...         ...         ...         ...         ...   \n",
+       "2023-11-20  177.462826  464.912592  672.301063  387.472514  261.603321   \n",
+       "2023-11-21  176.200688  467.773657  671.947264  384.432159  260.850804   \n",
+       "2023-11-22  177.577507  471.595354  672.801908  387.754766  262.512227   \n",
+       "2023-11-23  174.334341  466.324903  651.524261  392.006779  257.600156   \n",
+       "2023-11-24  174.039155  460.050858  651.204185  399.344748  254.430849   \n",
+       "\n",
+       "                   DIS          KO         MCD       COST       SBUX  \n",
+       "date                                                                  \n",
+       "2021-01-01  226.714336  205.824532  127.745580  51.380529  79.898561  \n",
+       "2021-01-04  226.031949  206.444122  127.140749  50.781585  79.547343  \n",
+       "2021-01-05  225.185988  203.873733  130.591434  50.790121  80.452200  \n",
+       "2021-01-06  230.128279  201.033590  131.184790  51.596978  81.184599  \n",
+       "2021-01-07  230.539394  200.653953  133.182859  52.020537  81.299196  \n",
+       "...                ...         ...         ...        ...        ...  \n",
+       "2023-11-20  376.332974  101.317900  168.578776  68.069208  67.267696  \n",
+       "2023-11-21  369.415006  101.433351  173.110283  67.963309  67.056869  \n",
+       "2023-11-22  363.789606  101.905173  171.934122  66.529335  66.072427  \n",
+       "2023-11-23  356.779867  101.794949  175.722651  67.520947  65.352407  \n",
+       "2023-11-24  357.875239  102.296637  172.569006  68.463430  65.708388  \n",
+       "\n",
+       "[756 rows x 10 columns]"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 58,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 9
+   "source": [
+    "prices = load_stockdata(tickers=tickers)\n",
+    "prices"
+   ]
   },
   {
+   "cell_type": "code",
+   "execution_count": 59,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2025-11-12T08:11:50.666914Z",
      "start_time": "2025-11-12T08:11:49.678109Z"
     }
    },
-   "cell_type": "code",
-   "source": [
-    "market_prices = yf.download(\"SPY\", period=\"max\")[\"Close\"]\n",
-    "market_prices.head()"
-   ],
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/var/folders/_3/k_9k5d5n5zz57w7qfll9rzs40000gn/T/ipykernel_60334/3562423400.py:1: FutureWarning: YF.download() has changed argument auto_adjust default to True\n",
-      "  market_prices = yf.download(\"SPY\", period=\"max\")[\"Close\"]\n",
-      "[*********************100%***********************]  1 of 1 completed\n"
-     ]
-    },
     {
      "data": {
-      "text/plain": [
-       "Ticker            SPY\n",
-       "Date                 \n",
-       "1993-01-29  24.313040\n",
-       "1993-02-01  24.485947\n",
-       "1993-02-02  24.537836\n",
-       "1993-02-03  24.797226\n",
-       "1993-02-04  24.900978"
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -358,84 +412,93 @@
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
-       "      <th>Ticker</th>\n",
+       "      <th></th>\n",
        "      <th>SPY</th>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Date</th>\n",
+       "      <th>date</th>\n",
        "      <th></th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>1993-01-29</th>\n",
-       "      <td>24.313040</td>\n",
+       "      <th>2021-01-01</th>\n",
+       "      <td>228.311197</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1993-02-01</th>\n",
-       "      <td>24.485947</td>\n",
+       "      <th>2021-01-04</th>\n",
+       "      <td>227.755471</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1993-02-02</th>\n",
-       "      <td>24.537836</td>\n",
+       "      <th>2021-01-05</th>\n",
+       "      <td>231.789748</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1993-02-03</th>\n",
-       "      <td>24.797226</td>\n",
+       "      <th>2021-01-06</th>\n",
+       "      <td>229.689287</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>1993-02-04</th>\n",
-       "      <td>24.900978</td>\n",
+       "      <th>2021-01-07</th>\n",
+       "      <td>231.250131</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "                   SPY\n",
+       "date                  \n",
+       "2021-01-01  228.311197\n",
+       "2021-01-04  227.755471\n",
+       "2021-01-05  231.789748\n",
+       "2021-01-06  229.689287\n",
+       "2021-01-07  231.250131"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 59,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 10
+   "source": [
+    "market_prices = load_stockdata(tickers=[\"SPY\"])\n",
+    "market_prices.head()"
+   ]
   },
   {
+   "cell_type": "code",
+   "execution_count": 60,
    "metadata": {
     "ExecuteTime": {
      "end_time": "2025-11-12T08:11:59.042866Z",
      "start_time": "2025-11-12T08:11:50.786533Z"
     }
    },
-   "cell_type": "code",
-   "source": [
-    "mcaps = {}\n",
-    "for t in tickers:\n",
-    "    stock = yf.Ticker(t)\n",
-    "    mcaps[t] = stock.info[\"marketCap\"]\n",
-    "mcaps"
-   ],
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "{'MSFT': 3780701847552,\n",
-       " 'AMZN': 2662932938752,\n",
-       " 'NAT': 768654912,\n",
-       " 'BAC': 391632846848,\n",
-       " 'DPZ': 13826333696,\n",
-       " 'DIS': 206492696576,\n",
-       " 'KO': 308038205440,\n",
-       " 'MCD': 218510311424,\n",
-       " 'COST': 405003698176,\n",
-       " 'SBUX': 98250891264}"
+       "{'AMZN': 1199323675973,\n",
+       " 'BAC': 316257187682,\n",
+       " 'COST': 120876806275,\n",
+       " 'DIS': 1204224448427,\n",
+       " 'DPZ': 1417604792703,\n",
+       " 'KO': 370891997157,\n",
+       " 'MCD': 866730312191,\n",
+       " 'MSFT': 586002134695,\n",
+       " 'NAT': 1225646524971,\n",
+       " 'SBUX': 914859618512}"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 60,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 11
+   "source": [
+    "mcaps = load_marketcaps(tickers=tickers)\n",
+    "mcaps"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -448,180 +511,173 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 61,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:11:59.682503Z",
+     "start_time": "2025-11-12T08:11:59.065472Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 35
     },
     "id": "KMyL_d0mAbNj",
-    "outputId": "83c8ff0b-6ac3-4c80-9bea-8f6216384238",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:11:59.682503Z",
-     "start_time": "2025-11-12T08:11:59.065472Z"
-    }
+    "outputId": "83c8ff0b-6ac3-4c80-9bea-8f6216384238"
    },
-   "source": [
-    "import pypfopt\n",
-    "pypfopt.__version__"
-   ],
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "'1.5.6'"
+       "'1.6.0'"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 61,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 12
+   "source": [
+    "import pypfopt\n",
+    "pypfopt.__version__"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 62,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:11:59.856517Z",
+     "start_time": "2025-11-12T08:11:59.688275Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "V35ccSUSAbNj",
-    "outputId": "bdc6d9bc-33c2-47b6-ac60-c43a4cfed6b5",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:11:59.856517Z",
-     "start_time": "2025-11-12T08:11:59.688275Z"
-    }
+    "outputId": "bdc6d9bc-33c2-47b6-ac60-c43a4cfed6b5"
    },
-   "source": [
-    "from pypfopt import black_litterman, risk_models\n",
-    "from pypfopt import BlackLittermanModel, plotting\n",
-    "\n",
-    "S = risk_models.CovarianceShrinkage(prices).ledoit_wolf()\n",
-    "delta = black_litterman.market_implied_risk_aversion(market_prices)\n",
-    "delta"
-   ],
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "np.float64(3.426860188963759)"
+       "np.float64(3.137363404997928)"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 62,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 13
+   "source": [
+    "from pypfopt import black_litterman, risk_models\n",
+    "from pypfopt import BlackLittermanModel, plotting\n",
+    "\n",
+    "S = risk_models.CovarianceShrinkage(prices).ledoit_wolf()\n",
+    "delta = black_litterman.market_implied_risk_aversion(market_prices)\n",
+    "delta"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 63,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:11:59.931229Z",
+     "start_time": "2025-11-12T08:11:59.862786Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 297
     },
     "id": "tgz3bOltAbNj",
-    "outputId": "41740df8-87ca-45c7-b0ef-4af343ae3b0a",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:11:59.931229Z",
-     "start_time": "2025-11-12T08:11:59.862786Z"
-    }
+    "outputId": "41740df8-87ca-45c7-b0ef-4af343ae3b0a"
    },
-   "source": [
-    "plotting.plot_covariance(S, plot_correlation=True);"
-   ],
    "outputs": [
     {
      "data": {
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
-      ],
-      "image/png": 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"
+      ]
      },
      "metadata": {},
-     "output_type": "display_data",
-     "jetTransient": {
-      "display_id": null
-     }
+     "output_type": "display_data"
     }
    ],
-   "execution_count": 14
+   "source": [
+    "plotting.plot_covariance(S, plot_correlation=True);"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 64,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:11:59.947356Z",
+     "start_time": "2025-11-12T08:11:59.944497Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "qknxazUhAbNk",
-    "outputId": "eb6b5bdf-7a31-4c76-90e0-ca2a751126ee",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:11:59.947356Z",
-     "start_time": "2025-11-12T08:11:59.944497Z"
-    }
+    "outputId": "eb6b5bdf-7a31-4c76-90e0-ca2a751126ee"
    },
-   "source": [
-    "market_prior = black_litterman.market_implied_prior_returns(mcaps, delta, S)\n",
-    "market_prior"
-   ],
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "Ticker\n",
-       "AMZN    0.217688\n",
-       "BAC     0.104540\n",
-       "COST    0.077448\n",
-       "DIS     0.092606\n",
-       "DPZ     0.039139\n",
-       "KO      0.051818\n",
-       "MCD     0.056672\n",
-       "MSFT    0.160434\n",
-       "NAT     0.041953\n",
-       "SBUX    0.078963\n",
+       "MSFT    0.025293\n",
+       "AMZN    0.022358\n",
+       "NAT     0.046473\n",
+       "BAC    -0.000086\n",
+       "DPZ     0.013902\n",
+       "DIS     0.034530\n",
+       "KO      0.012965\n",
+       "MCD     0.031959\n",
+       "COST    0.000844\n",
+       "SBUX    0.015641\n",
        "dtype: float64"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 64,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 15
+   "source": [
+    "market_prior = black_litterman.market_implied_prior_returns(mcaps, delta, S)\n",
+    "market_prior"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 65,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:12:00.051238Z",
+     "start_time": "2025-11-12T08:11:59.998069Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 320
     },
     "id": "9exlhi1BAbNk",
-    "outputId": "a1292c4b-38b9-4c02-919d-b9cf33a4309e",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:12:00.051238Z",
-     "start_time": "2025-11-12T08:11:59.998069Z"
-    }
+    "outputId": "a1292c4b-38b9-4c02-919d-b9cf33a4309e"
    },
-   "source": [
-    "market_prior.plot.barh(figsize=(10,5));"
-   ],
    "outputs": [
     {
      "data": {
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x500 with 1 Axes>"
-      ],
-      "image/png": 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"
+      ]
      },
      "metadata": {},
-     "output_type": "display_data",
-     "jetTransient": {
-      "display_id": null
-     }
+     "output_type": "display_data"
     }
    ],
-   "execution_count": 16
+   "source": [
+    "market_prior.plot.barh(figsize=(10,5));"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -638,13 +694,15 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 66,
    "metadata": {
-    "id": "uTP2BVZIAbNl",
     "ExecuteTime": {
      "end_time": "2025-11-12T08:12:00.073557Z",
      "start_time": "2025-11-12T08:12:00.071602Z"
-    }
+    },
+    "id": "uTP2BVZIAbNl"
    },
+   "outputs": [],
    "source": [
     "# You don't have to provide views on all the assets\n",
     "viewdict = {\n",
@@ -661,9 +719,7 @@
     "}\n",
     "\n",
     "bl = BlackLittermanModel(S, pi=market_prior, absolute_views=viewdict)"
-   ],
-   "outputs": [],
-   "execution_count": 17
+   ]
   },
   {
    "cell_type": "markdown",
@@ -687,13 +743,15 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 67,
    "metadata": {
-    "id": "Z0Pzoio1AbNm",
     "ExecuteTime": {
      "end_time": "2025-11-12T08:12:00.083852Z",
      "start_time": "2025-11-12T08:12:00.081123Z"
-    }
+    },
+    "id": "Z0Pzoio1AbNm"
    },
+   "outputs": [],
    "source": [
     "confidences = [\n",
     "    0.6,\n",
@@ -707,39 +765,50 @@
     "    0.1,\n",
     "    0.4\n",
     "]"
-   ],
-   "outputs": [],
-   "execution_count": 18
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 68,
    "metadata": {
-    "id": "EaRmLt4IAbNm",
     "ExecuteTime": {
      "end_time": "2025-11-12T08:12:00.091810Z",
      "start_time": "2025-11-12T08:12:00.090062Z"
-    }
+    },
+    "id": "EaRmLt4IAbNm"
    },
+   "outputs": [],
    "source": [
     "bl = BlackLittermanModel(S, pi=market_prior, absolute_views=viewdict, omega=\"idzorek\", view_confidences=confidences)"
-   ],
-   "outputs": [],
-   "execution_count": 19
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 69,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:12:00.127798Z",
+     "start_time": "2025-11-12T08:12:00.096978Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 428
     },
     "id": "fo6SKTGAAbNn",
-    "outputId": "49517772-73fa-405b-a164-8a39c1456faf",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:12:00.127798Z",
-     "start_time": "2025-11-12T08:12:00.096978Z"
-    }
+    "outputId": "49517772-73fa-405b-a164-8a39c1456faf"
    },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 700x700 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "fig, ax = plt.subplots(figsize=(7,7))\n",
     "im = ax.imshow(bl.omega)\n",
@@ -751,54 +820,38 @@
     "ax.set_xticklabels(bl.tickers)\n",
     "ax.set_yticklabels(bl.tickers)\n",
     "plt.show()"
-   ],
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Figure size 700x700 with 1 Axes>"
-      ],
-      "image/png": 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AGCGIAQAAGCGIAQAAGCGIAQAAGCGIAQAAGCGIAQAAGCGIAQAAGCGIAQAAGCGIAQAAGCGIAQAAGCGIAQAAGCGIAQAAGCGIAQAAGCGIAQAAGCGIAQAAGCGIAQAAVKcglpycLD6fzw01a9aUU045RXr37i1paWly5MiRwHzNmjWTxx9/PPD8iy++kH79+snJJ58s0dHRbvrQoUPll19+sdgMAACA0CwRS0pKkt27d8v27dvlzTfflJ49e8qECRPk8ssvl7y8vCLz79mzRy6++GJp0KCBvPXWW5Keni7z5s2TJk2ayMGDB022AQAA4M+IFCNRUVESFxfnHjdt2lQ6deok3bt3d2Fr/vz5MmbMmKD5P/jgA8nKypI5c+ZIZOT/rXbz5s1dgAMAAAhFVaqN2EUXXSRnn322LF68uMg0DW1aUrZkyRLxPK/My8zJyZHs7OygAQAAoCqoUkFMtWnTxlVXFqalZZMmTZKrrrpKGjZsKJdeeqlMnz5dfv7551KXl5qaKrGxsYEhISHhOK49AABACAcxLe3SRvzFmTp1qmRmZsrTTz8t7du3d/9rcNu8eXOJy0tJSXFVmv4hIyPjOK49AABACAcxbYSvbb9KctJJJ8ngwYPlkUcecfNqY319XFpbtJiYmKABAACgKqhSQWzNmjWudGvgwIFlmr9WrVpyxhlncNckAAAISWZ3TWojeq1mzM/Pd+28Vq1a5dpzafcVI0eOLDL/ihUrZOHChXLllVdKq1atXBXm66+/LitXrnTdWAAAAIQasyCmwatx48auK4oTTzzR3S05c+ZMGTVqlNSoUbSgrl27dlKnTh25/fbbXTsvrXJs2bKl687i6quvNtkGAACAP8PnHUtfEGFAu6/Quyd7SH+J9NW0Xh1UYxFtW0o4yk//znoVAMBUnpcra2WZu0nwaG3Tq1QbMQAAgOqEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGAk0uqNgeouP/07CUe+qCgJN15OjvUqAAhTlIgBAAAYIYgBAAAYIYgBAAAYIYgBAAAYIYgBAAAYIYgBAAAYIYgBAAAYIYgBAAAYIYgBAAAYIYgBAAAYIYgBAAAYIYgBAAAYIYgBAAAYIYgBAAAYIYgBAAAYIYgBAAAYIYgBAAAYIYgBAAAYIYgBAAAYIYgBAAAYIYgBAAAYIYgBAAAYIYgBAACEaxBLTk4Wn8/nhpo1a8opp5wivXv3lrS0NDly5EhgvmbNmgXmO+GEE6RTp06yaNEiN2379u2BacUNzZs3P96bAQAAEJolYklJSbJ7924XqN58803p2bOnTJgwQS6//HLJy8sLzDdlyhQ338aNG6VLly4ydOhQ+fDDDyUhIcGNLzy8/vrrEhERIePHj6+MzQAAAAi9IBYVFSVxcXHStGlTV9I1adIkWbZsmQtl8+fPD8xXr149N1+rVq1k1qxZUrt27UDY0vEFBy0JGzdunAwbNkzuuOOOytgMAACA8GgjdtFFF8nZZ58tixcvLnZ6ZGSkq8r8448/ikzLzc2VgQMHukD27LPPlvo+OTk5kp2dHTQAAABIdW+s36ZNG1ddWZiGr9TUVMnKynKBrbAbb7xRtm3bJkuWLJHo6OhS30OXExsbGxi0mhMAAECqexDzPM9VMfpNnDhR6tatK3Xq1JFp06bJQw89JH369Al6zdNPP+2qM1977TWJj48/6nukpKS4QOcfMjIyjsu2AAAAHKtIMZSenh50x+Odd97p7rLUMKZ3VxYMaWr9+vVy8803y1NPPSXnnntumdun6QAAAFDVmJWIrVmzRjZv3uzaevk1bNhQWrRoEWiMX5CWZOm81113nYwZM8ZgjQEAAEKwREwbzGdmZkp+fr78/PPPsmrVKtd2S7uvGDly5FFff/jwYRkwYIC76/Luu+92yypMwxsAAEAoqZQgpsGrcePG7k7IE0880d0tOXPmTBk1apTUqHH0QrlPPvlE/vWvf7nHJTW21/ZmAAAAocTnVbMEo91X6N2TPaS/RPpqWq8OEHZ8Ydgm08vJsV4FACEkz8uVtbLM3SQYExNT6rz8rUkAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjkVZvDCA8eTk5Em5qREdLODpy+LD1KgDVHiViAAAARghiAAAARghiAAAARghiAAAARghiAAAARghiAAAARghiAAAARghiAAAARghiAAAARghiAAAARghiAAAARghiAAAARghiAAAARghiAAAARghiAAAARghiAAAARghiAAAARghiAAAARghiAAAARghiAAAARghiAAAARghiAAAARghiAAAA1T2IJScnyxVXXBE07tVXX5Xo6GiZMWOGHDp0SCZPniytWrWSqKgoadiwoQwePFi+/vprs3UGAAAIiyBW2Jw5c2T48OEye/ZsufHGG6VXr16SlpYmDzzwgGzdulVWrlwpeXl50q1bN/n444+tVxcAAOCYRUoV9PDDD7vSr4ULF8qAAQNk2rRp8tFHH8nGjRvl7LPPdvOcdtpp8tprr7kgdu2118pXX30lPp/PetUBAABCt0Rs4sSJcv/998uKFStcCFMvvvii9O7dOxDC/GrUqCG33nqrbNmyRb744otil5eTkyPZ2dlBAwAAQFVQpYLYm2++6UrDli1bJhdffHFgvFZFtm3bttjX+MfrPMVJTU2V2NjYwJCQkHCc1h4AACCEg1iHDh2kWbNmrlryt99+C5rmeV65lpmSkiJZWVmBISMjo4LWFgAAIIyCWNOmTWXt2rXy008/SVJSkhw4cMCN1zsl09PTi32Nf7zOUxy9wzImJiZoAAAAqAqqVBDzN8J/7733JDMzMxDGrrzySnnnnXeKtAM7cuSIPPbYY9KuXbsi7ccAAACquioXxJS249KSsV9++UUSExNl/Pjx0rVrV+nbt68sWrRIfvzxR/n0009l4MCBrkRs7ty53DEJAABCTpUMYio+Pt6FsX//+98ujL399tsycuRImTRpkrRo0cKVlkVERLg+xLp37269ugAAAMfM55W3FXyI0u4r9O7JHtJfIn01rVcHQAioER0t4ejI4cPWqwCEpTwvV9bKMneT4NHaplfZEjEAAIBwRxADAAAwQhADAAAwQhADAAAwQhADAAAwQhADAAAwQhADAAAwQhADAAAwQhADAAAwQhADAAAwQhADAAAwQhADAAAwQhADAAAwQhADAAAwQhADAAAwQhADAAAwQhADAAAwQhADAAAwQhADAAAwEmn1xgAQKo4cPizhKCImRsJRfna29SoAZUaJGAAAgBGCGAAAgBGCGAAAgBGCGAAAgBGCGAAAgBGCGAAAgBGCGAAAgBGCGAAAgBGCGAAAgBGCGAAAgBGCGAAAgBGCGAAAgBGCGAAAgBGCGAAAgBGCGAAAgBGCGAAAgBGCGAAAgBGCGAAAgBGCGAAAgBGCGAAAgBGCGAAAgBGCGAAAgBGCGAAAQLgEseTkZPH5fHL99dcXmTZ+/Hg3Tefxy8zMlJtuuklOP/10iYqKkoSEBOnbt6+sXr06ME+zZs3c63SoXbu2ez5kyBBZs2ZNRa8+AABAaJeIaZhauHChHDp0KDDu8OHD8uKLL8qpp54aGLd9+3bp3LmzC1TTp0+XzZs3y6pVq6Rnz54utBU0ZcoU2b17t3z77bfy3HPPSf369aVXr14yderU47EJAAAAx13k8Vhop06dZNu2bbJ48WIZPny4G6ePNYQ1b948MN8NN9zgSrk2bNggJ5xwQmB8+/btZfTo0UHLrFevnsTFxbnHupwLLrhAGjduLH/7299k0KBB0rp16+OxKQAAAKHXRkyD1Lx58wLP09LS5Jprrgk8//XXX13pl5Z8FQxhflridTQTJkwQz/Nk2bJlJc6Tk5Mj2dnZQQMAAEBYB7ERI0bI+vXrZceOHW744IMP3Di/77//3oWoNm3alPs9GjRoICeffLKr4ixJamqqxMbGBgatNgUAAAjbqknVqFEj6dOnj8yfP98FLn3csGHDwHQdVxF0OVq9WZKUlBS57bbbAs+1RIwwBgAAwjqI+asnb7zxRvd41qxZQdNatmzpAtQ333xT7uXv3btX9uzZE9TurDC9E1MHAACAatWPWFJSkvzxxx+Sm5sriYmJRaoVdZwGtIMHDxZ57f79+4+6/CeeeEJq1KghV1xxRYWuNwAAQMiXiEVEREh6enrgcWEaws477zzp2rWr656iQ4cOkpeXJ//85z9l9uzZgdeqAwcOuD7HNNT98MMP8vzzz8ucOXNcG7AWLVocz80AAAAIvSCmYmJiSpymnbh+/vnnri+w22+/3fUTpm3LtG8xDWIFaTcVOtSqVct1Y9G9e3fX6av2OQYAABCKfF5FtZoPEdpYX++e7CH9JdJX03p1AMBMRCkXyqEsn26KYCzPy5W1skyysrJKLZBS/K1JAAAAIwQxAAAAIwQxAAAAIwQxAAAAIwQxAAAAIwQxAAAAIwQxAAAAIwQxAAAAIwQxAAAAIwQxAAAAIwQxAAAAIwQxAAAAIwQxAAAAIwQxAAAAIwQxAAAAIwQxAAAAIwQxAAAAIwQxAAAAIwQxAAAAI5FWbwwAsJWfnR2WuyAyIV7CUV7GTutVwHFAiRgAAIARghgAAIARghgAAIARghgAAIARghgAAIARghgAAIARghgAAIARghgAAIARghgAAIARghgAAIARghgAAIARghgAAIARghgAAIARghgAAIARghgAAIARghgAAIARghgAAIARghgAAIARghgAAIARghgAAIARghgAAIARghgAAIARghgAAECoBrHk5GTx+Xxy/fXXF5k2fvx4N03nUXv27JFx48bJqaeeKlFRURIXFyeJiYnywQcfBF7TrFkz95qCQ3x8vNx3331FxhceAAAAQklkRSwkISFBFi5cKI899pjUrl3bjTt8+LC8+OKLLnT5DRw4UP744w9ZsGCBnH766fLzzz/L6tWrZe/evUHLmzJliowdOzbwPCIiwi23YNjr0qWLXHfddUHzAQAAVLsg1qlTJ9m2bZssXrxYhg8f7sbpYw1hzZs3d8/3798v69atk7Vr18qFF17oxp122mnStWvXIsurV6+eKy0rrG7dukHhrKT5AAAAqlUbsdGjR8u8efMCz9PS0uSaa64JClE6LF26VHJycqSy6HtlZ2cHDQAAAGEVxEaMGCHr16+XHTt2uEHbfek4v8jISJk/f76rlqxfv76cd955MmnSJPnyyy+LLGvixImB4KbDzJkzy71eqampEhsbGxi0GhUAACCsglijRo2kT58+LmxpyZg+btiwYdA82kZs165dsnz5cklKSnLVlFqtqa8p6M4775RNmzYFhpEjR5Z7vVJSUiQrKyswZGRklHtZAAAAVa6NWMHqyRtvvNE9njVrVrHzREdHS+/evd1w7733ypgxY2Ty5MmBOyuVBrgWLVpUyDrp3Zk6AAAAhHU/YlrKpXdF5ubmum4pyqJdu3Zy8ODBilwNAACA6lcipncypqenBx4XpF1UDB482JWadejQwd3x+Nlnn8nDDz8s/fv3r8jVAAAAqH5BTMXExBQ7Xhvdd+vWzfU1pl1daKmZNpzXfsC00T4AAEB14/M8z5NqRLuv0Lsne0h/ifTVtF4dAEAFi0yID8vPNC9jp/UqoIzyvFxZK8vcTYIlFVD58bcmAQAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjERavTEAAMdDXsbOsPxg39q1ScJRYpOOUp1RIgYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAABDuQSw5OVl8Pp889NBDQeOXLl3qxhfWpk0biYqKkszMTPd87dq1br7SBp0HAAAgVFRqiVh0dLRMmzZN9u3bV+p869evl0OHDsmgQYNkwYIFbty5554ru3fvDgxDhgyRpKSkoHE6DwAAQKio1CDWq1cviYuLk9TU1FLnmzt3rlx11VVy9dVXS1pamhtXq1Yt91r/ULt2bVdiVnCczlNYTk6OZGdnBw0AAADVLohFRETIgw8+KE8++aTs3Lmz2HkOHDggixYtkhEjRkjv3r0lKytL1q1bV+731NAXGxsbGBISEv7EFgAAAIRwY/0BAwZIx44dZfLkycVOX7hwobRs2VLat2/vgtuVV17pSsjKKyUlxYU5/5CRkfEn1h4AACDE75rUdmLa9is9Pb3INK2K1NIwP32sJWRaUlYeWn0ZExMTNAAAAFTbIHbBBRdIYmKiK60qaMuWLfLxxx/LXXfdJZGRkW7o3r27/P77766kDAAAIJxEWr2xdmOhVZStW7cOjNMqSA1ps2bNCpp33rx5btrYsWMN1hQAACDMOnQ966yzZPjw4TJz5kz3PDc3V/7xj3/IsGHD5MwzzwwaxowZI5988ol8/fXXVqsLAAAQXj3rT5kyRY4cOeIeL1++XPbu3esa8xfWtm1bN/yZRvsAAABVjc/zPE+qEe1HTLux6CH9JdJX03p1AAAok7d2bQrLTyqxSUcJN3lerqyVZa63hqPdJMjfmgQAADBCEAMAADBCEAMAADBCEAMAADBCEAMAADBCEAMAADBCEAMAADBCEAMAADBCEAMAADBCEAMAADBCEAMAADBCEAMAADBCEAMAADBCEAMAADBCEAMAADBCEAMAADBCEAMAADBCEAMAADBCEAMAADASafXGAACg7BKbdAzLj6tGhzYSbmrk54h8VcZ5j/fKAAAAoHgEMQAAACMEMQAAACMEMQAAACMEMQAAACMEMQAAACMEMQAAACMEMQAAACMEMQAAACMEMQAAACMEMQAAACMEMQAAACMEMQAAACMEMQAAACMEMQAAACMEMQAAACMEMQAAACMEMQAAACMEMQAAACMEMQAAACMEMQAAACMEMQAAACMEMQAAgFAMYnv27JFx48bJqaeeKlFRURIXFyeJiYnywQcfuOnNmjUTn8/nhoiICGnSpIlce+21sm/fvsAy5s+fL/Xr1y92+fq6pUuXuscrV66UWrVqyeeffx40z4wZM6Rhw4aSmZn5ZzYFAAAgtILYwIEDZePGjbJgwQLZunWrLF++XHr06CF79+4NzDNlyhTZvXu3/Pjjj/LCCy/I+++/LzfffPMxv9dll10mI0eOdENOTo4bt2XLFvnrX/8qs2bNciEQAAAglESW94X79++XdevWydq1a+XCCy9040477TTp2rVr0Hz16tULhKSmTZvKqFGj5KWXXirXez722GNy1llnyeTJk+WBBx5wy+rbt68MHTq0xNdoaPMHN5WdnV2u9wYAAKgyQaxu3bpu0KrD7t27u6rJo/npp5/k9ddfl27dupXrPTXUpaWluerPH374QTIyMmTVqlWlviY1NVX++7//u1zvBwAAUCWrJiMjI137Lq2W1DZe5513nkyaNEm+/PLLoPkmTpzoAlvt2rUlPj7etft69NFHy73CF110kQwaNEheeeUVmTlzppx00kmlzp+SkiJZWVmBQcMbAABAWLQR27Vrl2sblpSU5KopO3Xq5AKa35133imbNm1yAW316tVuXJ8+fSQ/P79c76mlaloKVqdOHVc1ejRaUhcTExM0AAAAhEX3FdHR0dK7d2+599575cMPP5Tk5GTXhstP72hs0aKFtGzZ0pVmPf74426+d999103XYHTw4EE5cuRIkTZoKjY2Nmj82LFjpXPnzrJixQqZPXu2vPfee392EwAAAMKjH7F27dq5YFUS7cZCHTp0yP3funVrycvLc6VmBfm7qWjVqlVg3Jw5c2T9+vUyd+5c6dmzp+s6Y/To0aW+HwAAQNgFMe2iQku4nn/+eVftqI3nFy1aJA8//LD0798/MN+BAwdcH1/ahcWGDRtcVWWjRo3k3HPPddPbt28vl1xyiQtUWnWpy9GqxxtuuMHdDal3WqodO3bIbbfdJo888oi7O1NNmzbNtTm7++67//wnAQAAUMl8nud55Xmhdglx3333ydtvvy3btm2T3NxcSUhIkMGDB7tG+9o4Xzt01QDlpwGsS5cuMnXqVOnYsWNQNaRWZ77xxhuuzZk26h8wYICr7tSG/rqKWv2ppWlvvfVW0HpoCZn2XaYhzt+NRmm0+wqt7uwh/SXSV7M8mw4AACpIjQ5twu6zzMvPkTVfTXc3CR6tbXq5g1ioIogBAFB11KjmQYy/NQkAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGCEIAYAAGAkUqoZz/Pc/3mSK/J/DwEAgJEa+Tlh99nn/X/b5M8cpal2QezAgQPu//Wy0npVAADAV+GdOWJjY0udx+eVJa6FkSNHjsiuXbukXr164vP5jut7ZWdnS0JCgmRkZEhMTIyEC7YrtLC/Qks47q9w3CbFdoWW7Er8Hmq00hDWpEkTqVGj9FZg1a5ETD+Q+Pj4Sn1P3eHhdPDxY7tCC/srtITj/grHbVJsV2iJqaTv4dFKwvxorA8AAGCEIAYAAGCEIHYcRUVFyeTJk93/4YTtCi3sr9ASjvsrHLdJsV2hJaqKfg+rXWN9AACAqoISMQAAACMEMQAAACMEMQAAACMEMQAAACMEMQAAACMEsRJ89NFHEhERIX369Akav337dvenkXTaTz/9FDRt9+7dEhkZ6abrfKpHjx7ueUnDe++95+ZLTk52zx966KGgZS5duvS4/ykm/3v7h5NOOkmSkpLkyy+/LDLvX/7yF7ftixYtKnZZ33//vVxzzTXurxfoLcLNmzeXYcOGyWeffSaVITMzU2666SY5/fTT3fvrn7Po27evrF69OjDPhx9+KJdddpmceOKJEh0dLWeddZY8+uijkp+fH7Qs3TcXXXSRNGjQQOrUqSMtW7aUUaNGyR9//FHkMys8NGvW7Lhva8F1qFmzppxyyinSu3dvSUtLc3/Ky0/X5fHHHw88/+KLL6Rfv35y8sknu+3X6UOHDpVffvlFLB3L9vjnO+GEE6RTp06B76P/91nSoN9Ha7qdV1xxRdC4V1991e2LGTNmyKFDh9wt9q1atXLf4YYNG8rgwYPl66+/lqrAv5+uv/76ItPGjx/vpuk8x/KbLLhPa9eu7Z4PGTJE1qxZU2W2Zc+ePTJu3Dg59dRT3XbExcVJYmKifPDBB8Vuh3/QY+F9991X6vfyeB/jy3OOadOmjdtO3X9q7dq1R90Gned42nOUfVDw89fzlP55oWuvvVb27dsXWMb8+fOlfv36xS5fX6efh1q5cqXUqlVLPv/886B59Deqv0n/51IRCGIlmDt3rjt4vP/+++5vUxbWtGlTee6554LGLViwwI0vaPHixS6gFRx27NghZ555ppxzzjnSrVu3wLx6IJ42bVrQl6ayaPDyr58eIDVQXn755UHz/P7777Jw4UK566673MmxMA1bnTt3lq1bt8ozzzwjW7ZskSVLlrgf9O23337ct0FPwvr+evCePn26bN68WVatWiU9e/Z0B1Wl63PhhRe6g+O7774r33zzjUyYMEEeeOABufLKK93fB1O67vqZ6D7S74Au68knn3Q/TA1sTzzxRNA+VfPmzQs8//TTT6Uy95tu+5tvvum2VbdH911eXl6xB7KLL77Yhcu33npL0tPT3XrrAevgwYNirazbM2XKFDffxo0bpUuXLi5IasDWk3zh35sOr7/+ujsw+78HVcmcOXNk+PDhMnv2bLnxxhulV69e7vel30n9LekJQbddjxUff/yxVAX6OeuxQEOj3+HDh+XFF190J8lj+U0W3qfffvutO7bqyVI/i6lTp1aJbRk4cKD7vulxXvfL8uXL3YX23r17i90O/6CvueOOO4LG6fGn8HyVoaznmPXr17vPY9CgQW571bnnnhu0vhqUC543dNB5jqeBZdgH/s/1xx9/lBdeeMEdv2+++eZjfi+9WB85cqQbcnJyAueFv/71rzJr1iwXAiuM9iOGYAcOHPDq1q3rffPNN97QoUO9qVOnBqb98MMPeqb2/vrXv3otW7YMel2rVq28e++9103X+UoyZswYLy4uzsvIyAiMGzVqlHf55Zd7bdq08e68887A+CVLlrjlHU/63v379w8at27dOve+v/zyS2Dc/Pnzve7du3v79+/36tSp4/3444+BaUeOHPHat2/vde7c2cvPzy/yHvv27fOOt0svvdRr2rSp99tvvxX7/jr+pJNO8v7rv/6ryPTly5e77V24cKF7/thjj3nNmjUr83vra3VfVabi9ptavXq1W59nn33WPT/ttNPc9ihdx8jISC83N9erasqzPUq3Rb+Pd999d7HLzczM9OLj470RI0Z4VW07p02b5kVHR3uLFy92zx966CHP5/N5mzZtCnqN/qbOOeccr127du63VhXW/8wzz/Sef/75wPgXXnjB69Chg5um85TlN+lXeJ/6/e1vf/Nq1KjhjsWW26Lrqt/BtWvXlrq8krajvPNVpGM5xyQnJ7vf05tvvunOa8fyez1e9pVhHxT3ud5///3ud+M3b948LzY2tkzH8ezsbLfMiRMnuuOM/gYHDx7sVTRKxIrxyiuvuFKc1q1by4gRI9zVaeF+b7VqR68q9MpB6f/6XIvcS/PUU0+5q73XXnutyB8f1yv2Bx980JW87Ny5U6z89ttv8vzzz0uLFi1cNWXBUkL9PPQPmV566aWuiNdv06ZNrupES76K+0vzJRUFV5Rff/3VXWnrVbZWVxX3/m+//ba7ctKr08J0v2lV0EsvveSe69WOXlXp1VSo0erUs88+25XGFqbbpaUrWjIYKn05l7Y9SktvtSpTq4wLy83NdVfRut3PPvusVCUTJ06U+++/X1asWCEDBgxw47QURqtjdXsL0t/Urbfe6q7ItWq5Khg9erQrTfXT46Q2SziW3+TRaGmofk+XLVtWgWt+7NtSt25dN2i1lb90JBSV5Rxz4MABV9Wvx3r9LmZlZcm6devEWt1y7ANtPqSl4QVrno5FvXr13HdBqyO11DojI8OVXFc0glgx/IFDadGrfhH9bbn89MDvD2lK/9fnOr4kelK/5ZZbXLFmSUW4ekDu2LGjayNSmfRk4P+i65dPi3xffvnlQKj67rvvXLWIVgEp3VY9cPlP5jpdaYC1oG3TdF1Ke38tylZt27Ytdrq+1j+PtsnRtm1ajdm4cWO3X/7+979Ldna2hALdFn87xYK6d+8ukyZNkquuusq1c9BArVVGP//8s4Ti9mj4Sk1Ndb9RDWyFaVXftm3bXPDUapmqQqtdH374YRcwtKrYT79/JX0//eP931FregzQC1BtaqGDttPxHzfL+ps8Gq1C17aMxe37ytwWDft64alVYhogzzvvPPc7Kq4drQZs/7FUh5kzZ0pVcrRzjFbTanvY9u3bu+CmTTb0nGgtsoz7wP/5a1tDLezQdl/aBri89LiiVbRaQKP7smDhREUhiBWi7RM2bNjgTsL+na/ho7gvol5F6ZWDNtrT//V5SbS+WnfmddddJ2PGjCl1p2gdvn7ZtP1OZdE2G1qqpYNuvzaA1JO0HpT8QVPH6cnbX3+uJz9/Y1rr0pVjef+yzKsHIA2aetWoJ0xt+6dXknpwqqz2HH+GbmNJDYC1zY1+Z59++mm3Pfq/niy1/U6obI//YKs3UejvRRsgF76xRrdLD9zFlT5b69Chg2tYrCdDLYEuyPq3VFaNGjVyn7l+xvpb0cf+40NFbkdp3+XK2halJavaXlgvUvUCXRum640iBWsG1J133hk4luqgbYyqmtLOMf5CBT99rOc3LSmzNrAM+8D/+WtA898Qovuz8M1YZaWlalqyq8ea41UySBArRAOXVt1o42UNYTpoUaQezDV4FKR32+kJTEObXq1qA/ziaKNHvQrRk17Bu9dKcsEFF7jQk5KSIpVFqw60KlIHbfysDYi18bZW5+gXWH+0b7zxRuAz0S+lVj34SwS1Wk9p43cLegWnB+vS3t+/jiUFXB3vn8dPA9jVV1/tSsO06lUb8eoJvqrTbSntDkG9qtNSv0ceecTNq993fRwq2+M/2GpQ1iYBGswK0tINbaBbWumzJf1e6UlED/J6QvGf5PT7V9r30z9PVaEXn/5SisIXomX5TR6NNiXQG0wq427X0rbFT0tVtbru3nvvdTeH6J2IhUuWNMD5j6U6HO9mGeVR0jlGq7615kNvyPIf67UU3X+jVlUQfZR94P/89funpVl6ztX59OYsFRMT485tBe/EVvv373f/a9ObgsaOHetuONFaI80ChWvHKgJBrAANYNp+S+uDC17RaJsMPVH52w8VpD9YPaCWVhqmJWAaWvSqQr/YZaFX+Fq3rd1oWNADqFZLaojUu7b0RKF3qxT8XPTz0HY7+gXWou527dq5z67wF7zgl/x40SoMPbDoibe4u//0/S+55BI3n65jYXqFpdWr/pLQ4mh3F1pNWRXuLiyNllJq6ZZePZaF3gl6xhlnVNntKm57/AdbbftVuLRE23HovGUpfbZ02mmnuYO6lk76w5hWA73zzjtF2oHpb+qxxx5zv7HC7ccs6Xpr9bC2xdPf37H+Jo9G707W41Dh7j4qe1tKovujqv5uynOO0YIIDWn6/St4rL/tttuqRPVkefaB1m4o/12x2vZbz/W6XQX5u6koeKGjBRJ6UafbrrVG2nWGnusrep+XLRVUE5p49epa+x0pnIr1wK47Q3+shdOyliyUdNWj7W80gOkXXnd+4b5H9H20LrswLW3TxoGV1b5AGz/6100/Ay0B0ioTbcSuVxRatFv4BKA/AG1ArLcIa4NcLdLX283PP/98ueeee1xpoS5Dt10byh+PK4mC9ICv7Qa6du3qbmHW6h/9zP/5z3+6KxktUdBuNfRkpydpbT+kV0dafK0lLFp1rLdkK51Pf6hakqkhRUvCNKRrqZg2dK0q/PtNSy21nZcWoWubKe3uobgqEf2O65WtfgZ6wNFqH90/GrYLNlYOle0pTPeT7jMtcbr77ruL7eunQm87r4CuE/RCTg/yevLX7dV2Y/q70wsGbWSsn4NWi+v3V0NaZfQ5VVZ6kvOX1PlPeMf6m/TTIKr7S4PQDz/84G4Y0hOh7n8N3ZbboiVzepzXk7Bug7aj1e56tNlC//79JRQVPsfo5/6Pf/zD7afCtTt6QaPtrPT4pzU7FvaWcR/4v0d6bNOLMi3d06pnf8m4rr9elOty9Dem/dtpkyRtv63NkPxdUGmzHA2gWlOgF03+Kl1t36nHlgo9D1T4fZghTG/tveyyy4qd9sknn7hbW7/44gv3/8aNG4udT8cX7L5Cu0DQ5yUNeittSbcC6zJq1apVKd1XFFynevXqeV26dPFeffVVd+u/dnfwyiuvFPvacePGef/xH/8ReP7tt996I0eO9Jo0aeLWXW/9HTZsmPf55597lWHXrl3e+PHj3fvq++ut8/369fPefffdwDzvv/++l5iY6MXExLh5tNuNRx55xMvLywvMo+ur3R00b97ci4qKct1eXHDBBa6bi6rUfYV/n+k+atSokderVy8vLS0tqAuRgrd0b9u2zRs7dqy7Jb127dpe/fr13b72fw8tlWd7CtNb20v7vVWFQ15xv/WdO3e67nC0e5isrCzvnnvu8Vq0aOHVrFnTa9CggTdw4EBv8+bNXlVwtG4LCnZfUdbfpE7z7x+d59RTT/WGDBnirVmzpkpsy+HDh113Dp06dXJdH2h3Ka1bt3bdGP3+++8h031FaecYPd5rVyF6zC9O27ZtvVtvvbXU5R1Ph8uwDwp+j3TQY4ie0wufr7UrjJtvvtk744wz3HFQf3t33XWX67pKaRcxF198sXfJJZcUWQ/t2ikiIuKoXZkcC5/+U3GxDgAAAGVFGzEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAAAjBDEAAACx8f8ARhuo2JrVDh4AAAAASUVORK5CYII="
-     },
-     "metadata": {},
-     "output_type": "display_data",
-     "jetTransient": {
-      "display_id": null
-     }
-    }
-   ],
-   "execution_count": 20
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 70,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:12:00.136042Z",
+     "start_time": "2025-11-12T08:12:00.132744Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "58aBtbhuAbNn",
-    "outputId": "31bcfa00-46ba-4600-b626-c7cf15a352b8",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:12:00.136042Z",
-     "start_time": "2025-11-12T08:12:00.132744Z"
-    }
+    "outputId": "31bcfa00-46ba-4600-b626-c7cf15a352b8"
    },
-   "source": [
-    "np.diag(bl.omega)"
-   ],
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array([0.0045619 , 0.00873095, 0.01198575, 0.00493244, 0.00088379,\n",
-       "       0.00112096, 0.0016701 , 0.0034398 , 0.04152296, 0.00552791])"
+       "array([0.00150597, 0.00214868, 0.01107929, 0.0034324 , 0.00059481,\n",
+       "       0.00162626, 0.00189831, 0.00573102, 0.04536189, 0.00295041])"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 70,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 21
+   "source": [
+    "np.diag(bl.omega)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -813,13 +866,15 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 71,
    "metadata": {
-    "id": "QQtnWs9xAbNn",
     "ExecuteTime": {
      "end_time": "2025-11-12T08:12:00.143365Z",
      "start_time": "2025-11-12T08:12:00.140675Z"
-    }
+    },
+    "id": "QQtnWs9xAbNn"
    },
+   "outputs": [],
    "source": [
     "intervals = [\n",
     "    (0, 0.25),\n",
@@ -833,32 +888,22 @@
     "    (0.1, 0.9),\n",
     "    (0, 0.3)\n",
     "]"
-   ],
-   "outputs": [],
-   "execution_count": 22
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 72,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:12:00.151331Z",
+     "start_time": "2025-11-12T08:12:00.149767Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "avW4ld8bAbNo",
-    "outputId": "540d7109-e20f-4eb4-e32d-fb16ae670a5b",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:12:00.151331Z",
-     "start_time": "2025-11-12T08:12:00.149767Z"
-    }
+    "outputId": "540d7109-e20f-4eb4-e32d-fb16ae670a5b"
    },
-   "source": [
-    "variances = []\n",
-    "for lb, ub in intervals:\n",
-    "    sigma = (ub - lb)/2\n",
-    "    variances.append(sigma ** 2)\n",
-    "\n",
-    "print(variances)\n",
-    "omega = np.diag(variances)"
-   ],
    "outputs": [
     {
      "name": "stdout",
@@ -868,7 +913,15 @@
      ]
     }
    ],
-   "execution_count": 23
+   "source": [
+    "variances = []\n",
+    "for lb, ub in intervals:\n",
+    "    sigma = (ub - lb)/2\n",
+    "    variances.append(sigma ** 2)\n",
+    "\n",
+    "print(variances)\n",
+    "omega = np.diag(variances)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -883,63 +936,62 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 73,
    "metadata": {
-    "id": "478dHIDHAbNo",
     "ExecuteTime": {
      "end_time": "2025-11-12T08:12:00.159726Z",
      "start_time": "2025-11-12T08:12:00.155670Z"
-    }
+    },
+    "id": "478dHIDHAbNo"
    },
+   "outputs": [],
    "source": [
     "# We are using the shortcut to automatically compute market-implied prior\n",
     "bl = BlackLittermanModel(S, pi=\"market\", market_caps=mcaps, risk_aversion=delta,\n",
     "                        absolute_views=viewdict, omega=omega)"
-   ],
-   "outputs": [],
-   "execution_count": 24
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 74,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:12:00.168392Z",
+     "start_time": "2025-11-12T08:12:00.165958Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "A9VSO7xAAbNo",
-    "outputId": "c501cc36-8719-4826-d2b9-c138ab2f46c5",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:12:00.168392Z",
-     "start_time": "2025-11-12T08:12:00.165958Z"
-    }
+    "outputId": "c501cc36-8719-4826-d2b9-c138ab2f46c5"
    },
-   "source": [
-    "# Posterior estimate of returns\n",
-    "ret_bl = bl.bl_returns()\n",
-    "ret_bl"
-   ],
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "Ticker\n",
-       "AMZN    0.183882\n",
-       "BAC     0.135815\n",
-       "COST    0.067281\n",
-       "DIS     0.074143\n",
-       "DPZ     0.107602\n",
-       "KO      0.007914\n",
-       "MCD     0.102838\n",
-       "MSFT    0.107538\n",
-       "NAT     0.063471\n",
-       "SBUX    0.086751\n",
+       "MSFT    0.095047\n",
+       "AMZN    0.031365\n",
+       "NAT     0.055978\n",
+       "BAC     0.013864\n",
+       "DPZ     0.082278\n",
+       "DIS     0.041040\n",
+       "KO     -0.025142\n",
+       "MCD     0.105681\n",
+       "COST    0.008812\n",
+       "SBUX    0.021346\n",
        "dtype: float64"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 74,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 25
+   "source": [
+    "# Posterior estimate of returns\n",
+    "ret_bl = bl.bl_returns()\n",
+    "ret_bl"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -952,39 +1004,22 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 75,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:12:00.193309Z",
+     "start_time": "2025-11-12T08:12:00.188595Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 363
     },
     "id": "KHfvi6KvAbNp",
-    "outputId": "ee876b7b-a24c-4dea-c344-a1c8a5c6c7d4",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:12:00.193309Z",
-     "start_time": "2025-11-12T08:12:00.188595Z"
-    }
+    "outputId": "ee876b7b-a24c-4dea-c344-a1c8a5c6c7d4"
    },
-   "source": [
-    "rets_df = pd.DataFrame([market_prior, ret_bl, pd.Series(viewdict)], \n",
-    "             index=[\"Prior\", \"Posterior\", \"Views\"]).T\n",
-    "rets_df"
-   ],
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "         Prior  Posterior  Views\n",
-       "AMZN  0.217688   0.183882   0.10\n",
-       "BAC   0.104540   0.135815   0.30\n",
-       "COST  0.077448   0.067281   0.05\n",
-       "DIS   0.092606   0.074143   0.05\n",
-       "DPZ   0.039139   0.107602   0.20\n",
-       "KO    0.051818   0.007914  -0.05\n",
-       "MCD   0.056672   0.102838   0.15\n",
-       "MSFT  0.160434   0.107538   0.10\n",
-       "NAT   0.041953   0.063471   0.50\n",
-       "SBUX  0.078963   0.086751   0.10"
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -1011,110 +1046,124 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
+       "      <th>MSFT</th>\n",
+       "      <td>0.025293</td>\n",
+       "      <td>0.095047</td>\n",
+       "      <td>0.10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th>AMZN</th>\n",
-       "      <td>0.217688</td>\n",
-       "      <td>0.183882</td>\n",
+       "      <td>0.022358</td>\n",
+       "      <td>0.031365</td>\n",
        "      <td>0.10</td>\n",
        "    </tr>\n",
        "    <tr>\n",
+       "      <th>NAT</th>\n",
+       "      <td>0.046473</td>\n",
+       "      <td>0.055978</td>\n",
+       "      <td>0.50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
        "      <th>BAC</th>\n",
-       "      <td>0.104540</td>\n",
-       "      <td>0.135815</td>\n",
+       "      <td>-0.000086</td>\n",
+       "      <td>0.013864</td>\n",
        "      <td>0.30</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>COST</th>\n",
-       "      <td>0.077448</td>\n",
-       "      <td>0.067281</td>\n",
-       "      <td>0.05</td>\n",
+       "      <th>DPZ</th>\n",
+       "      <td>0.013902</td>\n",
+       "      <td>0.082278</td>\n",
+       "      <td>0.20</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>DIS</th>\n",
-       "      <td>0.092606</td>\n",
-       "      <td>0.074143</td>\n",
+       "      <td>0.034530</td>\n",
+       "      <td>0.041040</td>\n",
        "      <td>0.05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>DPZ</th>\n",
-       "      <td>0.039139</td>\n",
-       "      <td>0.107602</td>\n",
-       "      <td>0.20</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
        "      <th>KO</th>\n",
-       "      <td>0.051818</td>\n",
-       "      <td>0.007914</td>\n",
+       "      <td>0.012965</td>\n",
+       "      <td>-0.025142</td>\n",
        "      <td>-0.05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>MCD</th>\n",
-       "      <td>0.056672</td>\n",
-       "      <td>0.102838</td>\n",
+       "      <td>0.031959</td>\n",
+       "      <td>0.105681</td>\n",
        "      <td>0.15</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>MSFT</th>\n",
-       "      <td>0.160434</td>\n",
-       "      <td>0.107538</td>\n",
-       "      <td>0.10</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>NAT</th>\n",
-       "      <td>0.041953</td>\n",
-       "      <td>0.063471</td>\n",
-       "      <td>0.50</td>\n",
+       "      <th>COST</th>\n",
+       "      <td>0.000844</td>\n",
+       "      <td>0.008812</td>\n",
+       "      <td>0.05</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>SBUX</th>\n",
-       "      <td>0.078963</td>\n",
-       "      <td>0.086751</td>\n",
+       "      <td>0.015641</td>\n",
+       "      <td>0.021346</td>\n",
        "      <td>0.10</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "         Prior  Posterior  Views\n",
+       "MSFT  0.025293   0.095047   0.10\n",
+       "AMZN  0.022358   0.031365   0.10\n",
+       "NAT   0.046473   0.055978   0.50\n",
+       "BAC  -0.000086   0.013864   0.30\n",
+       "DPZ   0.013902   0.082278   0.20\n",
+       "DIS   0.034530   0.041040   0.05\n",
+       "KO    0.012965  -0.025142  -0.05\n",
+       "MCD   0.031959   0.105681   0.15\n",
+       "COST  0.000844   0.008812   0.05\n",
+       "SBUX  0.015641   0.021346   0.10"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 75,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 26
+   "source": [
+    "rets_df = pd.DataFrame([market_prior, ret_bl, pd.Series(viewdict)], \n",
+    "             index=[\"Prior\", \"Posterior\", \"Views\"]).T\n",
+    "rets_df"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 76,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:12:00.515591Z",
+     "start_time": "2025-11-12T08:12:00.468401Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 503
     },
     "id": "n55wKWFuAbNp",
-    "outputId": "9445d68a-279e-4cfe-85a6-0609e411b03c",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:12:00.515591Z",
-     "start_time": "2025-11-12T08:12:00.468401Z"
-    }
+    "outputId": "9445d68a-279e-4cfe-85a6-0609e411b03c"
    },
-   "source": [
-    "rets_df.plot.bar(figsize=(12,8));"
-   ],
    "outputs": [
     {
      "data": {
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1200x800 with 1 Axes>"
-      ],
-      "image/png": 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"
+      ]
      },
      "metadata": {},
-     "output_type": "display_data",
-     "jetTransient": {
-      "display_id": null
-     }
+     "output_type": "display_data"
     }
    ],
-   "execution_count": 27
+   "source": [
+    "rets_df.plot.bar(figsize=(12,8));"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -1129,38 +1178,35 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 77,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:12:00.645620Z",
+     "start_time": "2025-11-12T08:12:00.522725Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 297
     },
     "id": "i6S1l2-aAbNp",
-    "outputId": "411f2876-67fb-4d2d-8f88-4b63463bf10f",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:12:00.645620Z",
-     "start_time": "2025-11-12T08:12:00.522725Z"
-    }
+    "outputId": "411f2876-67fb-4d2d-8f88-4b63463bf10f"
    },
-   "source": [
-    "S_bl = bl.bl_cov()\n",
-    "plotting.plot_covariance(S_bl);"
-   ],
    "outputs": [
     {
      "data": {
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
-      ],
-      "image/png": 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"
+      ]
      },
      "metadata": {},
-     "output_type": "display_data",
-     "jetTransient": {
-      "display_id": null
-     }
+     "output_type": "display_data"
     }
    ],
-   "execution_count": 28
+   "source": [
+    "S_bl = bl.bl_cov()\n",
+    "plotting.plot_covariance(S_bl);"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -1175,153 +1221,150 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 78,
    "metadata": {
-    "id": "hDS0vIUCAbNp",
     "ExecuteTime": {
      "end_time": "2025-11-12T08:12:00.665877Z",
      "start_time": "2025-11-12T08:12:00.663664Z"
-    }
+    },
+    "id": "hDS0vIUCAbNp"
    },
+   "outputs": [],
    "source": [
     "from pypfopt import EfficientFrontier, objective_functions"
-   ],
-   "outputs": [],
-   "execution_count": 29
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 79,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:12:00.685494Z",
+     "start_time": "2025-11-12T08:12:00.673018Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "qylII3-oAbNp",
-    "outputId": "f81f870a-3181-42ba-afcf-321674ddf5d7",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:12:00.685494Z",
-     "start_time": "2025-11-12T08:12:00.673018Z"
-    }
+    "outputId": "f81f870a-3181-42ba-afcf-321674ddf5d7"
    },
-   "source": [
-    "ef = EfficientFrontier(ret_bl, S_bl)\n",
-    "ef.add_objective(objective_functions.L2_reg)\n",
-    "ef.max_sharpe()\n",
-    "weights = ef.clean_weights()\n",
-    "weights"
-   ],
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/Users/thomasschmelzer/projects/PyPortfolioOpt/pypfopt/efficient_frontier/efficient_frontier.py:259: UserWarning: max_sharpe transforms the optimization problem so additional objectives may not work as expected.\n",
+      "C:\\Users\\shuvam\\sparkle\\pyportfolio\\pypfopt\\efficient_frontier\\efficient_frontier.py:281: UserWarning: max_sharpe transforms the optimization problem so additional objectives may not work as expected.\n",
       "  warnings.warn(\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "OrderedDict([('AMZN', 0.20061),\n",
-       "             ('BAC', 0.14324),\n",
-       "             ('COST', 0.0697),\n",
-       "             ('DIS', 0.07017),\n",
-       "             ('DPZ', 0.12808),\n",
+       "OrderedDict([('MSFT', 0.20167),\n",
+       "             ('AMZN', 0.07034),\n",
+       "             ('NAT', 0.11937),\n",
+       "             ('BAC', 0.03304),\n",
+       "             ('DPZ', 0.18847),\n",
+       "             ('DIS', 0.08964),\n",
        "             ('KO', 0.0),\n",
-       "             ('MCD', 0.11522),\n",
-       "             ('MSFT', 0.1165),\n",
-       "             ('NAT', 0.06627),\n",
-       "             ('SBUX', 0.09021)])"
+       "             ('MCD', 0.22902),\n",
+       "             ('COST', 0.02021),\n",
+       "             ('SBUX', 0.04825)])"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 79,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 30
+   "source": [
+    "ef = EfficientFrontier(ret_bl, S_bl)\n",
+    "ef.add_objective(objective_functions.L2_reg)\n",
+    "ef.max_sharpe()\n",
+    "weights = ef.clean_weights()\n",
+    "weights"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 80,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:12:00.718526Z",
+     "start_time": "2025-11-12T08:12:00.691823Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 575
     },
     "id": "9_pWobQoAbNq",
-    "outputId": "e50c07ee-7274-4936-8f0f-e347309013b9",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:12:00.718526Z",
-     "start_time": "2025-11-12T08:12:00.691823Z"
-    }
+    "outputId": "e50c07ee-7274-4936-8f0f-e347309013b9"
    },
-   "source": [
-    "pd.Series(weights).plot.pie(figsize=(10,10));"
-   ],
    "outputs": [
     {
      "data": {
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
-      ],
-      "image/png": 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"
+      ]
      },
      "metadata": {},
-     "output_type": "display_data",
-     "jetTransient": {
-      "display_id": null
-     }
+     "output_type": "display_data"
     }
    ],
-   "execution_count": 31
+   "source": [
+    "pd.Series(weights).plot.pie(figsize=(10,10));"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 81,
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:12:00.746224Z",
+     "start_time": "2025-11-12T08:12:00.725538Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "8YHugSK8AbNq",
-    "outputId": "095c7b24-0f63-4c6a-a80b-91247548486b",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:12:00.746224Z",
-     "start_time": "2025-11-12T08:12:00.725538Z"
-    }
+    "outputId": "095c7b24-0f63-4c6a-a80b-91247548486b"
    },
-   "source": [
-    "from pypfopt import DiscreteAllocation\n",
-    "\n",
-    "da = DiscreteAllocation(weights, prices.iloc[-1], total_portfolio_value=20000)\n",
-    "alloc, leftover = da.lp_portfolio()\n",
-    "print(f\"Leftover: ${leftover:.2f}\")\n",
-    "alloc"
-   ],
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Leftover: $16.30\n"
+      "Leftover: $16.89\n"
      ]
     },
     {
      "data": {
       "text/plain": [
-       "{'AMZN': 16,\n",
-       " 'BAC': 54,\n",
-       " 'COST': 2,\n",
-       " 'DIS': 13,\n",
-       " 'DPZ': 6,\n",
-       " 'MCD': 7,\n",
-       " 'MSFT': 4,\n",
-       " 'NAT': 366,\n",
-       " 'SBUX': 21}"
+       "{'MSFT': 23,\n",
+       " 'AMZN': 3,\n",
+       " 'NAT': 4,\n",
+       " 'BAC': 1,\n",
+       " 'DPZ': 15,\n",
+       " 'DIS': 5,\n",
+       " 'MCD': 27,\n",
+       " 'COST': 6,\n",
+       " 'SBUX': 14}"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 81,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 32
+   "source": [
+    "from pypfopt import DiscreteAllocation\n",
+    "\n",
+    "da = DiscreteAllocation(weights, prices.iloc[-1], total_portfolio_value=20000)\n",
+    "alloc, leftover = da.lp_portfolio()\n",
+    "print(f\"Leftover: ${leftover:.2f}\")\n",
+    "alloc"
+   ]
   }
  ],
  "metadata": {
@@ -1331,9 +1374,9 @@
    "provenance": []
   },
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "name": "python3",
-   "language": "python"
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -1345,7 +1388,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.4"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/cookbook/5-Hierarchical-Risk-Parity.ipynb b/cookbook/5-Hierarchical-Risk-Parity.ipynb
index 694701bd..37fafaff 100644
--- a/cookbook/5-Hierarchical-Risk-Parity.ipynb
+++ b/cookbook/5-Hierarchical-Risk-Parity.ipynb
@@ -42,167 +42,117 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 10,
    "id": "kvgN-hAEBYHZ",
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:12:02.268679Z",
+     "start_time": "2025-11-12T08:12:01.796130Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "kvgN-hAEBYHZ",
-    "outputId": "2cd60bf1-d484-405c-8d92-a8101f6e6750",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:12:02.268679Z",
-     "start_time": "2025-11-12T08:12:01.796130Z"
-    }
+    "outputId": "2cd60bf1-d484-405c-8d92-a8101f6e6750"
    },
-   "source": [
-    "!pip install pandas numpy matplotlib yfinance PyPortfolioOpt\n",
-    "import os\n",
-    "if not os.path.isdir('data'):\n",
-    "    os.system('git clone https://github.com/pyportfolio/pyportfolioopt.git')\n",
-    "    os.chdir('PyPortfolioOpt/cookbook')"
-   ],
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
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-      "\r\n",
-      "\u001B[1m[\u001B[0m\u001B[34;49mnotice\u001B[0m\u001B[1;39;49m]\u001B[0m\u001B[39;49m A new release of pip is available: \u001B[0m\u001B[31;49m24.3.1\u001B[0m\u001B[39;49m -> \u001B[0m\u001B[32;49m25.3\u001B[0m\r\n",
-      "\u001B[1m[\u001B[0m\u001B[34;49mnotice\u001B[0m\u001B[1;39;49m]\u001B[0m\u001B[39;49m To update, run: \u001B[0m\u001B[32;49mpip install --upgrade pip\u001B[0m\r\n"
+      "Requirement already satisfied: pandas in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (2.2.3)\n",
+      "Requirement already satisfied: numpy in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (2.4.2)\n",
+      "Requirement already satisfied: matplotlib in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (3.10.0)\n",
+      "Requirement already satisfied: PyPortfolioOpt in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (1.6.0)\n",
+      "Requirement already satisfied: python-dateutil>=2.8.2 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from pandas) (2.9.0.post0)\n",
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+      "Requirement already satisfied: six>=1.5 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from python-dateutil>=2.8.2->pandas) (1.17.0)\n",
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+      "Requirement already satisfied: threadpoolctl>=3.1.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from scikit-learn>=0.24.1->PyPortfolioOpt) (3.5.0)\n",
+      "Requirement already satisfied: cffi in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from clarabel>=0.5.0->cvxpy>=1.1.19->PyPortfolioOpt) (1.17.1)\n",
+      "Requirement already satisfied: jinja2 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from osqp>=1.0.0->cvxpy>=1.1.19->PyPortfolioOpt) (3.1.5)\n",
+      "Requirement already satisfied: setuptools in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from osqp>=1.0.0->cvxpy>=1.1.19->PyPortfolioOpt) (65.5.0)\n",
+      "Requirement already satisfied: pycparser in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from cffi->clarabel>=0.5.0->cvxpy>=1.1.19->PyPortfolioOpt) (2.22)\n",
+      "Requirement already satisfied: MarkupSafe>=2.0 in c:\\users\\shuvam\\appdata\\local\\programs\\python\\python311\\lib\\site-packages (from jinja2->osqp>=1.0.0->cvxpy>=1.1.19->PyPortfolioOpt) (2.1.5)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "[notice] A new release of pip available: 22.3 -> 26.0.1\n",
+      "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
      ]
     }
    ],
-   "execution_count": 1
+   "source": [
+    "!pip install pandas numpy matplotlib PyPortfolioOpt\n",
+    "import os\n",
+    "if not os.path.isdir('data'):\n",
+    "    os.system('git clone https://github.com/pyportfolio/pyportfolioopt.git')\n",
+    "    os.chdir('PyPortfolioOpt/cookbook')"
+   ]
   },
   {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "c442e17aa1dc9965",
    "metadata": {
     "ExecuteTime": {
      "end_time": "2025-11-12T08:12:02.992222Z",
      "start_time": "2025-11-12T08:12:02.272939Z"
     }
    },
-   "cell_type": "code",
-   "source": [
-    "import pandas as pd\n",
-    "import yfinance as yf\n",
-    "import pypfopt\n",
-    "\n",
-    "pypfopt.__version__"
-   ],
-   "id": "c442e17aa1dc9965",
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "'1.5.6'"
+       "'1.6.0'"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 2
+   "source": [
+    "import pandas as pd\n",
+    "import pypfopt\n",
+    "from pypfopt.data.data_loader import load_stockdata\n",
+    "\n",
+    "pypfopt.__version__"
+   ]
   },
   {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "575bf519e8a54e4a",
    "metadata": {
     "ExecuteTime": {
      "end_time": "2025-11-12T08:12:05.557248Z",
      "start_time": "2025-11-12T08:12:02.995259Z"
     }
    },
-   "cell_type": "code",
-   "source": [
-    "tickers = [\"BLK\", \"BAC\", \"AAPL\", \"TM\", \"WMT\",\n",
-    "           \"JD\", \"INTU\", \"MA\", \"UL\", \"CVS\",\n",
-    "           \"DIS\", \"AMD\", \"NVDA\", \"PBI\", \"TGT\"]\n",
-    "\n",
-    "ohlc = yf.download(tickers, period=\"max\")\n",
-    "prices = ohlc[\"Close\"]\n",
-    "prices.tail()"
-   ],
-   "id": "575bf519e8a54e4a",
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/var/folders/_3/k_9k5d5n5zz57w7qfll9rzs40000gn/T/ipykernel_60451/1837682728.py:5: FutureWarning: YF.download() has changed argument auto_adjust default to True\n",
-      "  ohlc = yf.download(tickers, period=\"max\")\n",
-      "[*********************100%***********************]  15 of 15 completed\n"
-     ]
-    },
     {
      "data": {
-      "text/plain": [
-       "Ticker            AAPL         AMD        BAC          BLK        CVS  \\\n",
-       "Date                                                                    \n",
-       "2025-11-05  269.878387  256.329987  52.450001  1073.569946  78.550003   \n",
-       "2025-11-06  269.508728  237.699997  53.290001  1069.439941  78.660004   \n",
-       "2025-11-07  268.209991  233.539993  53.200001  1082.199951  78.989998   \n",
-       "2025-11-10  269.429993  243.979996  53.419998  1082.630005  77.540001   \n",
-       "2025-11-11  275.250000  237.520004  53.630001  1085.760010  79.870003   \n",
-       "\n",
-       "Ticker             DIS        INTU         JD          MA        NVDA  \\\n",
-       "Date                                                                    \n",
-       "2025-11-05  111.360001  655.330017  32.040001  553.309998  195.210007   \n",
-       "2025-11-06  110.489998  653.640015  31.950001  553.280029  188.080002   \n",
-       "2025-11-07  110.739998  648.849976  31.790001  551.969971  188.149994   \n",
-       "2025-11-10  112.239998  653.270020  31.410000  552.960022  199.050003   \n",
-       "2025-11-11  114.849998  654.320007  31.610001  558.349976  193.160004   \n",
-       "\n",
-       "Ticker           PBI        TGT          TM         UL         WMT  \n",
-       "Date                                                                \n",
-       "2025-11-05  9.389523  91.940002  199.149994  60.760719  101.470001  \n",
-       "2025-11-06  9.280573  89.150002  202.940002  60.383999  101.680000  \n",
-       "2025-11-07  9.340000  91.239998  201.979996  61.470001  102.589996  \n",
-       "2025-11-10  9.270000  90.730003  203.940002  60.810001  102.419998  \n",
-       "2025-11-11  9.440000  91.580002  205.990005  61.070000  103.440002  "
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -221,25 +171,25 @@
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
-       "      <th>Ticker</th>\n",
-       "      <th>AAPL</th>\n",
-       "      <th>AMD</th>\n",
-       "      <th>BAC</th>\n",
+       "      <th></th>\n",
        "      <th>BLK</th>\n",
-       "      <th>CVS</th>\n",
-       "      <th>DIS</th>\n",
-       "      <th>INTU</th>\n",
+       "      <th>BAC</th>\n",
+       "      <th>AAPL</th>\n",
+       "      <th>TM</th>\n",
+       "      <th>WMT</th>\n",
        "      <th>JD</th>\n",
+       "      <th>INTU</th>\n",
        "      <th>MA</th>\n",
+       "      <th>UL</th>\n",
+       "      <th>CVS</th>\n",
+       "      <th>DIS</th>\n",
+       "      <th>AMD</th>\n",
        "      <th>NVDA</th>\n",
        "      <th>PBI</th>\n",
        "      <th>TGT</th>\n",
-       "      <th>TM</th>\n",
-       "      <th>UL</th>\n",
-       "      <th>WMT</th>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Date</th>\n",
+       "      <th>date</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
@@ -259,150 +209,281 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>2025-11-05</th>\n",
-       "      <td>269.878387</td>\n",
-       "      <td>256.329987</td>\n",
-       "      <td>52.450001</td>\n",
-       "      <td>1073.569946</td>\n",
-       "      <td>78.550003</td>\n",
-       "      <td>111.360001</td>\n",
-       "      <td>655.330017</td>\n",
-       "      <td>32.040001</td>\n",
-       "      <td>553.309998</td>\n",
-       "      <td>195.210007</td>\n",
-       "      <td>9.389523</td>\n",
-       "      <td>91.940002</td>\n",
-       "      <td>199.149994</td>\n",
-       "      <td>60.760719</td>\n",
-       "      <td>101.470001</td>\n",
+       "      <th>2021-01-01</th>\n",
+       "      <td>99.678920</td>\n",
+       "      <td>243.061192</td>\n",
+       "      <td>85.231056</td>\n",
+       "      <td>190.319299</td>\n",
+       "      <td>156.885255</td>\n",
+       "      <td>78.967265</td>\n",
+       "      <td>139.616432</td>\n",
+       "      <td>65.889588</td>\n",
+       "      <td>173.448899</td>\n",
+       "      <td>253.865357</td>\n",
+       "      <td>226.714336</td>\n",
+       "      <td>68.637661</td>\n",
+       "      <td>209.389368</td>\n",
+       "      <td>271.803186</td>\n",
+       "      <td>240.196262</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2021-01-04</th>\n",
+       "      <td>97.031552</td>\n",
+       "      <td>241.727036</td>\n",
+       "      <td>82.691515</td>\n",
+       "      <td>189.923327</td>\n",
+       "      <td>159.801401</td>\n",
+       "      <td>79.315505</td>\n",
+       "      <td>140.308696</td>\n",
+       "      <td>66.869000</td>\n",
+       "      <td>166.613668</td>\n",
+       "      <td>256.071502</td>\n",
+       "      <td>226.031949</td>\n",
+       "      <td>69.886845</td>\n",
+       "      <td>208.376632</td>\n",
+       "      <td>257.042918</td>\n",
+       "      <td>241.719643</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2021-01-05</th>\n",
+       "      <td>95.891954</td>\n",
+       "      <td>240.661725</td>\n",
+       "      <td>79.791371</td>\n",
+       "      <td>190.005155</td>\n",
+       "      <td>160.947747</td>\n",
+       "      <td>80.149243</td>\n",
+       "      <td>140.342242</td>\n",
+       "      <td>65.728726</td>\n",
+       "      <td>168.781889</td>\n",
+       "      <td>257.543183</td>\n",
+       "      <td>225.185988</td>\n",
+       "      <td>68.558348</td>\n",
+       "      <td>205.306042</td>\n",
+       "      <td>257.483402</td>\n",
+       "      <td>244.642931</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2025-11-06</th>\n",
-       "      <td>269.508728</td>\n",
-       "      <td>237.699997</td>\n",
-       "      <td>53.290001</td>\n",
-       "      <td>1069.439941</td>\n",
-       "      <td>78.660004</td>\n",
-       "      <td>110.489998</td>\n",
-       "      <td>653.640015</td>\n",
-       "      <td>31.950001</td>\n",
-       "      <td>553.280029</td>\n",
-       "      <td>188.080002</td>\n",
-       "      <td>9.280573</td>\n",
-       "      <td>89.150002</td>\n",
-       "      <td>202.940002</td>\n",
-       "      <td>60.383999</td>\n",
-       "      <td>101.680000</td>\n",
+       "      <th>2021-01-06</th>\n",
+       "      <td>96.869824</td>\n",
+       "      <td>239.795313</td>\n",
+       "      <td>80.867784</td>\n",
+       "      <td>187.004685</td>\n",
+       "      <td>162.955586</td>\n",
+       "      <td>81.451779</td>\n",
+       "      <td>136.842043</td>\n",
+       "      <td>67.496486</td>\n",
+       "      <td>173.097473</td>\n",
+       "      <td>259.161933</td>\n",
+       "      <td>230.128279</td>\n",
+       "      <td>68.057855</td>\n",
+       "      <td>201.129055</td>\n",
+       "      <td>263.262290</td>\n",
+       "      <td>242.210868</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2025-11-07</th>\n",
-       "      <td>268.209991</td>\n",
-       "      <td>233.539993</td>\n",
-       "      <td>53.200001</td>\n",
-       "      <td>1082.199951</td>\n",
-       "      <td>78.989998</td>\n",
-       "      <td>110.739998</td>\n",
-       "      <td>648.849976</td>\n",
-       "      <td>31.790001</td>\n",
-       "      <td>551.969971</td>\n",
-       "      <td>188.149994</td>\n",
-       "      <td>9.340000</td>\n",
-       "      <td>91.239998</td>\n",
-       "      <td>201.979996</td>\n",
-       "      <td>61.470001</td>\n",
-       "      <td>102.589996</td>\n",
+       "      <th>2021-01-07</th>\n",
+       "      <td>99.019639</td>\n",
+       "      <td>239.231142</td>\n",
+       "      <td>81.130220</td>\n",
+       "      <td>187.681523</td>\n",
+       "      <td>164.842627</td>\n",
+       "      <td>81.513278</td>\n",
+       "      <td>139.294123</td>\n",
+       "      <td>66.849581</td>\n",
+       "      <td>176.780048</td>\n",
+       "      <td>267.194540</td>\n",
+       "      <td>230.539394</td>\n",
+       "      <td>67.054195</td>\n",
+       "      <td>198.012522</td>\n",
+       "      <td>260.457168</td>\n",
+       "      <td>248.111604</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2025-11-10</th>\n",
-       "      <td>269.429993</td>\n",
-       "      <td>243.979996</td>\n",
-       "      <td>53.419998</td>\n",
-       "      <td>1082.630005</td>\n",
-       "      <td>77.540001</td>\n",
-       "      <td>112.239998</td>\n",
-       "      <td>653.270020</td>\n",
-       "      <td>31.410000</td>\n",
-       "      <td>552.960022</td>\n",
-       "      <td>199.050003</td>\n",
-       "      <td>9.270000</td>\n",
-       "      <td>90.730003</td>\n",
-       "      <td>203.940002</td>\n",
-       "      <td>60.810001</td>\n",
-       "      <td>102.419998</td>\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>2025-11-11</th>\n",
-       "      <td>275.250000</td>\n",
-       "      <td>237.520004</td>\n",
-       "      <td>53.630001</td>\n",
-       "      <td>1085.760010</td>\n",
-       "      <td>79.870003</td>\n",
-       "      <td>114.849998</td>\n",
-       "      <td>654.320007</td>\n",
-       "      <td>31.610001</td>\n",
-       "      <td>558.349976</td>\n",
-       "      <td>193.160004</td>\n",
-       "      <td>9.440000</td>\n",
-       "      <td>91.580002</td>\n",
-       "      <td>205.990005</td>\n",
-       "      <td>61.070000</td>\n",
-       "      <td>103.440002</td>\n",
+       "      <th>2023-11-20</th>\n",
+       "      <td>236.957811</td>\n",
+       "      <td>387.472514</td>\n",
+       "      <td>73.227495</td>\n",
+       "      <td>201.199378</td>\n",
+       "      <td>153.952289</td>\n",
+       "      <td>107.773849</td>\n",
+       "      <td>29.576250</td>\n",
+       "      <td>28.650668</td>\n",
+       "      <td>93.906929</td>\n",
+       "      <td>543.967296</td>\n",
+       "      <td>376.332974</td>\n",
+       "      <td>76.977638</td>\n",
+       "      <td>168.277816</td>\n",
+       "      <td>811.267098</td>\n",
+       "      <td>158.874208</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-11-21</th>\n",
+       "      <td>237.618544</td>\n",
+       "      <td>384.432159</td>\n",
+       "      <td>72.594342</td>\n",
+       "      <td>201.984769</td>\n",
+       "      <td>153.962735</td>\n",
+       "      <td>108.929653</td>\n",
+       "      <td>30.303914</td>\n",
+       "      <td>29.173991</td>\n",
+       "      <td>93.998433</td>\n",
+       "      <td>537.480002</td>\n",
+       "      <td>369.415006</td>\n",
+       "      <td>74.658651</td>\n",
+       "      <td>166.003208</td>\n",
+       "      <td>805.701067</td>\n",
+       "      <td>159.605292</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-11-22</th>\n",
+       "      <td>234.597076</td>\n",
+       "      <td>387.754766</td>\n",
+       "      <td>72.448156</td>\n",
+       "      <td>204.429219</td>\n",
+       "      <td>153.434877</td>\n",
+       "      <td>107.750260</td>\n",
+       "      <td>29.483114</td>\n",
+       "      <td>29.005877</td>\n",
+       "      <td>90.595175</td>\n",
+       "      <td>535.082155</td>\n",
+       "      <td>363.789606</td>\n",
+       "      <td>73.224889</td>\n",
+       "      <td>163.351990</td>\n",
+       "      <td>768.336524</td>\n",
+       "      <td>158.053646</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-11-23</th>\n",
+       "      <td>233.845057</td>\n",
+       "      <td>392.006779</td>\n",
+       "      <td>71.440980</td>\n",
+       "      <td>205.501927</td>\n",
+       "      <td>154.327505</td>\n",
+       "      <td>106.905692</td>\n",
+       "      <td>29.443086</td>\n",
+       "      <td>28.845528</td>\n",
+       "      <td>92.135848</td>\n",
+       "      <td>536.892266</td>\n",
+       "      <td>356.779867</td>\n",
+       "      <td>73.557159</td>\n",
+       "      <td>165.408290</td>\n",
+       "      <td>752.725250</td>\n",
+       "      <td>158.913698</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2023-11-24</th>\n",
+       "      <td>233.152263</td>\n",
+       "      <td>399.344748</td>\n",
+       "      <td>70.460618</td>\n",
+       "      <td>212.595307</td>\n",
+       "      <td>155.704857</td>\n",
+       "      <td>105.833903</td>\n",
+       "      <td>29.710853</td>\n",
+       "      <td>28.583528</td>\n",
+       "      <td>93.372593</td>\n",
+       "      <td>529.689613</td>\n",
+       "      <td>357.875239</td>\n",
+       "      <td>74.372150</td>\n",
+       "      <td>168.331164</td>\n",
+       "      <td>721.033031</td>\n",
+       "      <td>157.330357</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
+       "<p>756 rows × 15 columns</p>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "                   BLK         BAC       AAPL          TM         WMT  \\\n",
+       "date                                                                    \n",
+       "2021-01-01   99.678920  243.061192  85.231056  190.319299  156.885255   \n",
+       "2021-01-04   97.031552  241.727036  82.691515  189.923327  159.801401   \n",
+       "2021-01-05   95.891954  240.661725  79.791371  190.005155  160.947747   \n",
+       "2021-01-06   96.869824  239.795313  80.867784  187.004685  162.955586   \n",
+       "2021-01-07   99.019639  239.231142  81.130220  187.681523  164.842627   \n",
+       "...                ...         ...        ...         ...         ...   \n",
+       "2023-11-20  236.957811  387.472514  73.227495  201.199378  153.952289   \n",
+       "2023-11-21  237.618544  384.432159  72.594342  201.984769  153.962735   \n",
+       "2023-11-22  234.597076  387.754766  72.448156  204.429219  153.434877   \n",
+       "2023-11-23  233.845057  392.006779  71.440980  205.501927  154.327505   \n",
+       "2023-11-24  233.152263  399.344748  70.460618  212.595307  155.704857   \n",
+       "\n",
+       "                    JD        INTU         MA          UL         CVS  \\\n",
+       "date                                                                    \n",
+       "2021-01-01   78.967265  139.616432  65.889588  173.448899  253.865357   \n",
+       "2021-01-04   79.315505  140.308696  66.869000  166.613668  256.071502   \n",
+       "2021-01-05   80.149243  140.342242  65.728726  168.781889  257.543183   \n",
+       "2021-01-06   81.451779  136.842043  67.496486  173.097473  259.161933   \n",
+       "2021-01-07   81.513278  139.294123  66.849581  176.780048  267.194540   \n",
+       "...                ...         ...        ...         ...         ...   \n",
+       "2023-11-20  107.773849   29.576250  28.650668   93.906929  543.967296   \n",
+       "2023-11-21  108.929653   30.303914  29.173991   93.998433  537.480002   \n",
+       "2023-11-22  107.750260   29.483114  29.005877   90.595175  535.082155   \n",
+       "2023-11-23  106.905692   29.443086  28.845528   92.135848  536.892266   \n",
+       "2023-11-24  105.833903   29.710853  28.583528   93.372593  529.689613   \n",
+       "\n",
+       "                   DIS        AMD        NVDA         PBI         TGT  \n",
+       "date                                                                   \n",
+       "2021-01-01  226.714336  68.637661  209.389368  271.803186  240.196262  \n",
+       "2021-01-04  226.031949  69.886845  208.376632  257.042918  241.719643  \n",
+       "2021-01-05  225.185988  68.558348  205.306042  257.483402  244.642931  \n",
+       "2021-01-06  230.128279  68.057855  201.129055  263.262290  242.210868  \n",
+       "2021-01-07  230.539394  67.054195  198.012522  260.457168  248.111604  \n",
+       "...                ...        ...         ...         ...         ...  \n",
+       "2023-11-20  376.332974  76.977638  168.277816  811.267098  158.874208  \n",
+       "2023-11-21  369.415006  74.658651  166.003208  805.701067  159.605292  \n",
+       "2023-11-22  363.789606  73.224889  163.351990  768.336524  158.053646  \n",
+       "2023-11-23  356.779867  73.557159  165.408290  752.725250  158.913698  \n",
+       "2023-11-24  357.875239  74.372150  168.331164  721.033031  157.330357  \n",
+       "\n",
+       "[756 rows x 15 columns]"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 3
+   "source": [
+    "tickers = [\"BLK\", \"BAC\", \"AAPL\", \"TM\", \"WMT\",\n",
+    "           \"JD\", \"INTU\", \"MA\", \"UL\", \"CVS\",\n",
+    "           \"DIS\", \"AMD\", \"NVDA\", \"PBI\", \"TGT\"]\n",
+    "\n",
+    "prices = load_stockdata(tickers=tickers)\n",
+    "prices"
+   ]
   },
   {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "5a2e5f13dd84fb3d",
    "metadata": {
     "ExecuteTime": {
      "end_time": "2025-11-12T08:12:05.687775Z",
      "start_time": "2025-11-12T08:12:05.676600Z"
     }
    },
-   "cell_type": "code",
-   "source": [
-    "from pypfopt import expected_returns\n",
-    "\n",
-    "rets = expected_returns.returns_from_prices(prices)\n",
-    "rets.tail()"
-   ],
-   "id": "5a2e5f13dd84fb3d",
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "Ticker          AAPL       AMD       BAC       BLK       CVS       DIS  \\\n",
-       "Date                                                                     \n",
-       "2025-11-05  0.000370  0.025115 -0.020359  0.012888  0.006019 -0.000987   \n",
-       "2025-11-06 -0.001370 -0.072680  0.016015 -0.003847  0.001400 -0.007813   \n",
-       "2025-11-07 -0.004819 -0.017501 -0.001689  0.011931  0.004195  0.002263   \n",
-       "2025-11-10  0.004549  0.044703  0.004135  0.000397 -0.018357  0.013545   \n",
-       "2025-11-11  0.021601 -0.026478  0.003931  0.002891  0.030049  0.023254   \n",
-       "\n",
-       "Ticker          INTU        JD        MA      NVDA       PBI       TGT  \\\n",
-       "Date                                                                     \n",
-       "2025-11-05 -0.007707  0.006914  0.001013 -0.017515 -0.010438  0.021783   \n",
-       "2025-11-06 -0.002579 -0.002809 -0.000054 -0.036525 -0.011603 -0.030346   \n",
-       "2025-11-07 -0.007328 -0.005008 -0.002368  0.000372  0.006403  0.023444   \n",
-       "2025-11-10  0.006812 -0.011953  0.001794  0.057933 -0.007495 -0.005590   \n",
-       "2025-11-11  0.001607  0.006367  0.009747 -0.029591  0.018339  0.009368   \n",
-       "\n",
-       "Ticker            TM        UL       WMT  \n",
-       "Date                                      \n",
-       "2025-11-05 -0.023248  0.007893 -0.007822  \n",
-       "2025-11-06  0.019031 -0.006200  0.002070  \n",
-       "2025-11-07 -0.004730  0.017985  0.008950  \n",
-       "2025-11-10  0.009704 -0.010737 -0.001657  \n",
-       "2025-11-11  0.010052  0.004276  0.009959  "
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -421,25 +502,25 @@
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
-       "      <th>Ticker</th>\n",
-       "      <th>AAPL</th>\n",
-       "      <th>AMD</th>\n",
-       "      <th>BAC</th>\n",
+       "      <th></th>\n",
        "      <th>BLK</th>\n",
-       "      <th>CVS</th>\n",
-       "      <th>DIS</th>\n",
-       "      <th>INTU</th>\n",
+       "      <th>BAC</th>\n",
+       "      <th>AAPL</th>\n",
+       "      <th>TM</th>\n",
+       "      <th>WMT</th>\n",
        "      <th>JD</th>\n",
+       "      <th>INTU</th>\n",
        "      <th>MA</th>\n",
+       "      <th>UL</th>\n",
+       "      <th>CVS</th>\n",
+       "      <th>DIS</th>\n",
+       "      <th>AMD</th>\n",
        "      <th>NVDA</th>\n",
        "      <th>PBI</th>\n",
        "      <th>TGT</th>\n",
-       "      <th>TM</th>\n",
-       "      <th>UL</th>\n",
-       "      <th>WMT</th>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>Date</th>\n",
+       "      <th>date</th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
        "      <th></th>\n",
@@ -459,106 +540,136 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>2025-11-05</th>\n",
-       "      <td>0.000370</td>\n",
-       "      <td>0.025115</td>\n",
-       "      <td>-0.020359</td>\n",
-       "      <td>0.012888</td>\n",
-       "      <td>0.006019</td>\n",
-       "      <td>-0.000987</td>\n",
-       "      <td>-0.007707</td>\n",
-       "      <td>0.006914</td>\n",
-       "      <td>0.001013</td>\n",
-       "      <td>-0.017515</td>\n",
-       "      <td>-0.010438</td>\n",
-       "      <td>0.021783</td>\n",
-       "      <td>-0.023248</td>\n",
-       "      <td>0.007893</td>\n",
-       "      <td>-0.007822</td>\n",
+       "      <th>2023-11-20</th>\n",
+       "      <td>0.017760</td>\n",
+       "      <td>0.009193</td>\n",
+       "      <td>0.008098</td>\n",
+       "      <td>-0.021412</td>\n",
+       "      <td>0.003140</td>\n",
+       "      <td>0.004429</td>\n",
+       "      <td>0.008234</td>\n",
+       "      <td>-0.036671</td>\n",
+       "      <td>0.004683</td>\n",
+       "      <td>-0.016386</td>\n",
+       "      <td>-0.015543</td>\n",
+       "      <td>0.002896</td>\n",
+       "      <td>-0.005415</td>\n",
+       "      <td>-0.000531</td>\n",
+       "      <td>0.009905</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2025-11-06</th>\n",
-       "      <td>-0.001370</td>\n",
-       "      <td>-0.072680</td>\n",
-       "      <td>0.016015</td>\n",
-       "      <td>-0.003847</td>\n",
-       "      <td>0.001400</td>\n",
-       "      <td>-0.007813</td>\n",
-       "      <td>-0.002579</td>\n",
-       "      <td>-0.002809</td>\n",
-       "      <td>-0.000054</td>\n",
-       "      <td>-0.036525</td>\n",
-       "      <td>-0.011603</td>\n",
-       "      <td>-0.030346</td>\n",
-       "      <td>0.019031</td>\n",
-       "      <td>-0.006200</td>\n",
-       "      <td>0.002070</td>\n",
+       "      <th>2023-11-21</th>\n",
+       "      <td>0.002788</td>\n",
+       "      <td>-0.007847</td>\n",
+       "      <td>-0.008646</td>\n",
+       "      <td>0.003904</td>\n",
+       "      <td>0.000068</td>\n",
+       "      <td>0.010724</td>\n",
+       "      <td>0.024603</td>\n",
+       "      <td>0.018266</td>\n",
+       "      <td>0.000974</td>\n",
+       "      <td>-0.011926</td>\n",
+       "      <td>-0.018383</td>\n",
+       "      <td>-0.030125</td>\n",
+       "      <td>-0.013517</td>\n",
+       "      <td>-0.006861</td>\n",
+       "      <td>0.004602</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2025-11-07</th>\n",
-       "      <td>-0.004819</td>\n",
-       "      <td>-0.017501</td>\n",
-       "      <td>-0.001689</td>\n",
-       "      <td>0.011931</td>\n",
-       "      <td>0.004195</td>\n",
-       "      <td>0.002263</td>\n",
-       "      <td>-0.007328</td>\n",
-       "      <td>-0.005008</td>\n",
-       "      <td>-0.002368</td>\n",
-       "      <td>0.000372</td>\n",
-       "      <td>0.006403</td>\n",
-       "      <td>0.023444</td>\n",
-       "      <td>-0.004730</td>\n",
-       "      <td>0.017985</td>\n",
-       "      <td>0.008950</td>\n",
+       "      <th>2023-11-22</th>\n",
+       "      <td>-0.012716</td>\n",
+       "      <td>0.008643</td>\n",
+       "      <td>-0.002014</td>\n",
+       "      <td>0.012102</td>\n",
+       "      <td>-0.003428</td>\n",
+       "      <td>-0.010827</td>\n",
+       "      <td>-0.027086</td>\n",
+       "      <td>-0.005762</td>\n",
+       "      <td>-0.036205</td>\n",
+       "      <td>-0.004461</td>\n",
+       "      <td>-0.015228</td>\n",
+       "      <td>-0.019204</td>\n",
+       "      <td>-0.015971</td>\n",
+       "      <td>-0.046375</td>\n",
+       "      <td>-0.009722</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2025-11-10</th>\n",
-       "      <td>0.004549</td>\n",
-       "      <td>0.044703</td>\n",
-       "      <td>0.004135</td>\n",
-       "      <td>0.000397</td>\n",
-       "      <td>-0.018357</td>\n",
-       "      <td>0.013545</td>\n",
-       "      <td>0.006812</td>\n",
-       "      <td>-0.011953</td>\n",
-       "      <td>0.001794</td>\n",
-       "      <td>0.057933</td>\n",
-       "      <td>-0.007495</td>\n",
-       "      <td>-0.005590</td>\n",
-       "      <td>0.009704</td>\n",
-       "      <td>-0.010737</td>\n",
-       "      <td>-0.001657</td>\n",
+       "      <th>2023-11-23</th>\n",
+       "      <td>-0.003206</td>\n",
+       "      <td>0.010966</td>\n",
+       "      <td>-0.013902</td>\n",
+       "      <td>0.005247</td>\n",
+       "      <td>0.005818</td>\n",
+       "      <td>-0.007838</td>\n",
+       "      <td>-0.001358</td>\n",
+       "      <td>-0.005528</td>\n",
+       "      <td>0.017006</td>\n",
+       "      <td>0.003383</td>\n",
+       "      <td>-0.019269</td>\n",
+       "      <td>0.004538</td>\n",
+       "      <td>0.012588</td>\n",
+       "      <td>-0.020318</td>\n",
+       "      <td>0.005442</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2025-11-11</th>\n",
-       "      <td>0.021601</td>\n",
-       "      <td>-0.026478</td>\n",
-       "      <td>0.003931</td>\n",
-       "      <td>0.002891</td>\n",
-       "      <td>0.030049</td>\n",
-       "      <td>0.023254</td>\n",
-       "      <td>0.001607</td>\n",
-       "      <td>0.006367</td>\n",
-       "      <td>0.009747</td>\n",
-       "      <td>-0.029591</td>\n",
-       "      <td>0.018339</td>\n",
-       "      <td>0.009368</td>\n",
-       "      <td>0.010052</td>\n",
-       "      <td>0.004276</td>\n",
-       "      <td>0.009959</td>\n",
+       "      <th>2023-11-24</th>\n",
+       "      <td>-0.002963</td>\n",
+       "      <td>0.018719</td>\n",
+       "      <td>-0.013723</td>\n",
+       "      <td>0.034517</td>\n",
+       "      <td>0.008925</td>\n",
+       "      <td>-0.010026</td>\n",
+       "      <td>0.009094</td>\n",
+       "      <td>-0.009083</td>\n",
+       "      <td>0.013423</td>\n",
+       "      <td>-0.013415</td>\n",
+       "      <td>0.003070</td>\n",
+       "      <td>0.011080</td>\n",
+       "      <td>0.017671</td>\n",
+       "      <td>-0.042103</td>\n",
+       "      <td>-0.009964</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "                 BLK       BAC      AAPL        TM       WMT        JD  \\\n",
+       "date                                                                     \n",
+       "2023-11-20  0.017760  0.009193  0.008098 -0.021412  0.003140  0.004429   \n",
+       "2023-11-21  0.002788 -0.007847 -0.008646  0.003904  0.000068  0.010724   \n",
+       "2023-11-22 -0.012716  0.008643 -0.002014  0.012102 -0.003428 -0.010827   \n",
+       "2023-11-23 -0.003206  0.010966 -0.013902  0.005247  0.005818 -0.007838   \n",
+       "2023-11-24 -0.002963  0.018719 -0.013723  0.034517  0.008925 -0.010026   \n",
+       "\n",
+       "                INTU        MA        UL       CVS       DIS       AMD  \\\n",
+       "date                                                                     \n",
+       "2023-11-20  0.008234 -0.036671  0.004683 -0.016386 -0.015543  0.002896   \n",
+       "2023-11-21  0.024603  0.018266  0.000974 -0.011926 -0.018383 -0.030125   \n",
+       "2023-11-22 -0.027086 -0.005762 -0.036205 -0.004461 -0.015228 -0.019204   \n",
+       "2023-11-23 -0.001358 -0.005528  0.017006  0.003383 -0.019269  0.004538   \n",
+       "2023-11-24  0.009094 -0.009083  0.013423 -0.013415  0.003070  0.011080   \n",
+       "\n",
+       "                NVDA       PBI       TGT  \n",
+       "date                                      \n",
+       "2023-11-20 -0.005415 -0.000531  0.009905  \n",
+       "2023-11-21 -0.013517 -0.006861  0.004602  \n",
+       "2023-11-22 -0.015971 -0.046375 -0.009722  \n",
+       "2023-11-23  0.012588 -0.020318  0.005442  \n",
+       "2023-11-24  0.017671 -0.042103 -0.009964  "
       ]
      },
-     "execution_count": 4,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 4
+   "source": [
+    "from pypfopt import expected_returns\n",
+    "\n",
+    "rets = expected_returns.returns_from_prices(prices)\n",
+    "rets.tail()"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -574,132 +685,129 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 14,
    "id": "crazy-minority",
    "metadata": {
-    "id": "crazy-minority",
     "ExecuteTime": {
      "end_time": "2025-11-12T08:12:05.760765Z",
      "start_time": "2025-11-12T08:12:05.758585Z"
-    }
+    },
+    "id": "crazy-minority"
    },
+   "outputs": [],
    "source": [
     "from pypfopt import HRPOpt"
-   ],
-   "outputs": [],
-   "execution_count": 5
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 15,
    "id": "determined-license",
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:12:05.831839Z",
+     "start_time": "2025-11-12T08:12:05.809500Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "determined-license",
-    "outputId": "ba776958-535f-475b-b6bf-7c6994d311f8",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:12:05.831839Z",
-     "start_time": "2025-11-12T08:12:05.809500Z"
-    }
+    "outputId": "ba776958-535f-475b-b6bf-7c6994d311f8"
    },
-   "source": [
-    "hrp = HRPOpt(rets)\n",
-    "hrp.optimize()\n",
-    "weights = hrp.clean_weights()\n",
-    "weights"
-   ],
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "OrderedDict([('AAPL', 0.03963),\n",
-       "             ('AMD', 0.02907),\n",
-       "             ('BAC', 0.0417),\n",
-       "             ('BLK', 0.04516),\n",
-       "             ('CVS', 0.11381),\n",
-       "             ('DIS', 0.05955),\n",
-       "             ('INTU', 0.03699),\n",
-       "             ('JD', 0.0467),\n",
-       "             ('MA', 0.04823),\n",
-       "             ('NVDA', 0.02293),\n",
-       "             ('PBI', 0.07645),\n",
-       "             ('TGT', 0.07642),\n",
-       "             ('TM', 0.09703),\n",
-       "             ('UL', 0.17211),\n",
-       "             ('WMT', 0.09423)])"
+       "OrderedDict([('BLK', 0.05462),\n",
+       "             ('BAC', 0.13642),\n",
+       "             ('AAPL', 0.03071),\n",
+       "             ('TM', 0.06986),\n",
+       "             ('WMT', 0.08478),\n",
+       "             ('JD', 0.08316),\n",
+       "             ('INTU', 0.04527),\n",
+       "             ('MA', 0.02827),\n",
+       "             ('UL', 0.03587),\n",
+       "             ('CVS', 0.1418),\n",
+       "             ('DIS', 0.04977),\n",
+       "             ('AMD', 0.03914),\n",
+       "             ('NVDA', 0.06482),\n",
+       "             ('PBI', 0.04034),\n",
+       "             ('TGT', 0.09517)])"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 6
+   "source": [
+    "hrp = HRPOpt(rets)\n",
+    "hrp.optimize()\n",
+    "weights = hrp.clean_weights()\n",
+    "weights"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 16,
    "id": "existing-memphis",
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:12:06.356024Z",
+     "start_time": "2025-11-12T08:12:05.897973Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 575
     },
     "id": "existing-memphis",
-    "outputId": "721f641a-3871-4bae-84f8-94cc0b75be87",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:12:06.356024Z",
-     "start_time": "2025-11-12T08:12:05.897973Z"
-    }
+    "outputId": "721f641a-3871-4bae-84f8-94cc0b75be87"
    },
-   "source": [
-    "pd.Series(weights).plot.pie(figsize=(10, 10));"
-   ],
    "outputs": [
     {
      "data": {
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x1000 with 1 Axes>"
-      ],
-      "image/png": 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"
+      ]
      },
      "metadata": {},
-     "output_type": "display_data",
-     "jetTransient": {
-      "display_id": null
-     }
+     "output_type": "display_data"
     }
    ],
-   "execution_count": 7
+   "source": [
+    "pd.Series(weights).plot.pie(figsize=(10, 10));"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 17,
    "id": "dramatic-spyware",
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:12:06.396576Z",
+     "start_time": "2025-11-12T08:12:06.371921Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/"
     },
     "id": "dramatic-spyware",
-    "outputId": "03958175-ebf7-4eb0-cc3a-57d969056f36",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:12:06.396576Z",
-     "start_time": "2025-11-12T08:12:06.371921Z"
-    }
+    "outputId": "03958175-ebf7-4eb0-cc3a-57d969056f36"
    },
-   "source": [
-    "hrp.portfolio_performance(verbose=True);"
-   ],
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Expected annual return: 18.9%\n",
-      "Annual volatility: 18.9%\n",
-      "Sharpe Ratio: 1.00\n"
+      "Expected annual return: 7.5%\n",
+      "Annual volatility: 6.2%\n",
+      "Sharpe Ratio: 1.21\n"
      ]
     }
    ],
-   "execution_count": 8
+   "source": [
+    "hrp.portfolio_performance(verbose=True);"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -715,40 +823,37 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 18,
    "id": "upset-meaning",
    "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-11-12T08:12:06.500586Z",
+     "start_time": "2025-11-12T08:12:06.418947Z"
+    },
     "colab": {
      "base_uri": "https://localhost:8080/",
      "height": 297
     },
     "id": "upset-meaning",
-    "outputId": "65f2985a-e74f-405c-a01a-d7877a0e5326",
-    "ExecuteTime": {
-     "end_time": "2025-11-12T08:12:06.500586Z",
-     "start_time": "2025-11-12T08:12:06.418947Z"
-    }
+    "outputId": "65f2985a-e74f-405c-a01a-d7877a0e5326"
    },
-   "source": [
-    "from pypfopt import plotting\n",
-    "\n",
-    "plotting.plot_dendrogram(hrp); "
-   ],
    "outputs": [
     {
      "data": {
+      "image/png": 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UJQpqejxt2rQD9h84cKBt2LChwXM33nija8m78847mwxrmZmZbgMAAECSgp2oJW3SpEk2YsQIGzlypC1atMiqq6vdKFmZOHGiZWdnu+5UzXM3ZMiQBj/ftWtX9+f+zwMAACDgYDd+/HjbuXOnzZ4927Zv327Dhg2z4uLi+gEVFRUVbqQsAAAAQh7sRN2ujXW9yqpVq5r92fvuu+9QXhIAAAAHQdMaAACAJwh2AAAAniDYAQAAeIJgBwAA4AmCHQAAgCcIdgAAAJ4g2AEAAHiCYAcAAOAJgh0AAIAnCHYAAACeINgBAAB4gmAHAADgCYIdAACAJwh2AAAAniDYAQAAeIJgBwAA4AmCHQAAgCcIdgAAAJ4g2AEAAHiCYAcAAOAJgh0AAIAnCHYAAACeINgBAAB4gmAHAADgCYIdAACAJwh2AAAAniDYAQAAeIJgBwAA4AmCHQAAgCcIdgAAAJ4g2AEAAHiCYAcAAOAJgh0AAIAnCHYAAACeINgBAAB4gmAHAADgCYIdAACAJwh2AAAAniDYAQAAeIJgBwAA4AmCHQAAgCcIdgAAAJ4g2AEAAKRzsFu8eLH169fPOnbsaKNGjbKysrIm933sscdsxIgR1rVrVzvyyCNt2LBh9sADDxzOMQMAAKAlgl1RUZHNmDHD8vPzbd26dZaTk2N5eXm2Y8eORvfv1q2bzZo1y0pLS+3VV1+1yZMnu+2pp55K9KUBAADQksFu4cKFNmXKFBfOBg8ebAUFBZaVlWWFhYWN7j9mzBi7+OKLbdCgQXb88cfb9OnTbejQobZ69epEXxoAAAAtFexqa2utvLzcxo4d+/d/oG1b91gtcgcTiUSspKTENm/ebGeeeWYiLw0AAICDaG8JqKqqsn379lnPnj0bPK/HmzZtavLndu3aZdnZ2VZTU2Pt2rWz3/zmN3bOOec0ub/20xa1e/fuRA4TAAAgLSUU7A5Vp06dbP369fbpp5+6FjvV6PXv39910zZm7ty5NmfOnCAODQAAID2DXffu3V2LW2VlZYPn9bhXr15N/py6awcMGOD+W6Ni33jjDRfemgp2M2fOdOEvtsWub9++iRwqAABA2kmoxi4jI8Nyc3Ndq1tUXV2dezx69Oi4/x39TGxX6/4yMzOtc+fODTYAAAC0cFesWtImTZrk5qYbOXKkLVq0yKqrq90oWZk4caKrp1OLnOhP7asRsQpzTz75pJvH7q677kr0pQEAANCSwW78+PG2c+dOmz17tm3fvt11rRYXF9cPqKioqHBdr1EKfVOnTrWtW7faEUccYQMHDrRly5a5fwcAAAApHjwxbdo0tzVm1apVDR7feuutbgMAAEBysVYsAACAJwh2AAAAniDYAQAAeIJgBwAA4AmCHQAAgCcIdgAAAJ4g2AEAAHiCYAcAAOAJgh0AAIAnCHYAAACeINgBAAB4gmAHAADgCYIdAACAJwh2AAAAniDYAQAAeIJgBwAA4AmCHQAAgCcIdgAAAJ4g2AEAAHiCYAcAAOAJgh0AAIAnCHYAAACeINgBAAB4gmAHAADgCYIdAACAJwh2AAAAniDYAQAAeIJgBwAA4AmCHQAAgCcIdgAAAJ4g2AEAAHiCYAcAAOAJgh0AAIAnCHYAAACeINgBAAB4gmAHAADgCYIdAACAJwh2AAAAniDYAQAAeIJgBwAA4AmCHQAAgCcIdgAAAJ4g2AEAAKRzsFu8eLH169fPOnbsaKNGjbKysrIm9126dKmdccYZdvTRR7tt7Nixze4PAACAgIJdUVGRzZgxw/Lz823dunWWk5NjeXl5tmPHjkb3X7VqlV166aX2xz/+0UpLS61v37527rnn2vvvv3+IhwwAAIAWCXYLFy60KVOm2OTJk23w4MFWUFBgWVlZVlhY2Oj+Dz74oE2dOtWGDRtmAwcOtHvuucfq6uqspKQk0ZcGAABASwW72tpaKy8vd92p9f9A27busVrj4rFnzx7bu3evdevWrcl9ampqbPfu3Q02AAAAtGCwq6qqsn379lnPnj0bPK/H27dvj+vfuP76661Pnz4NwuH+5s6da126dKnf1H0LAACAEI2KnTdvni1fvtxWrlzpBl40ZebMmbZr1676bcuWLUEeJgAAQKvUPpGdu3fvbu3atbPKysoGz+txr169mv3ZO+64wwW7Z5991oYOHdrsvpmZmW4DAABAklrsMjIyLDc3t8HAh+hAiNGjRzf5cz//+c/tlltuseLiYhsxYkQiLwkAAIBktNiJpjqZNGmSC2gjR460RYsWWXV1tRslKxMnTrTs7GxXJyfz58+32bNn20MPPeTmvovW4h111FFuAwAAQIqC3fjx423nzp0urCmkaRoTtcRFB1RUVFS4kbJRd911lxtN+61vfavBv6N58G666aaW+H8AAADAoQQ7mTZtmtuampA41rvvvntoRwYAAICEsFYsAACAJwh2AAAAniDYAQAAeIJgBwAA4AmCHQAAgCcIdgAAAJ4g2AEAAHiCYAcAAOAJgh0AAIAnCHYAAACeINgBAAB4gmAHAADgCYIdAACAJwh2AAAAniDYAQAAeIJgBwAA4AmCHQAAgCcIdgAAAJ4g2AEAAHiCYAcAAOAJgh0AAIAnCHYAAACeINgBAAB4gmAHAADgCYIdAACAJwh2AAAAniDYAQAAeIJgBwAA4AmCHQAAgCcIdgAAAJ4g2AEAAHiCYAcAAOAJgh0AAIAnCHYAAACeINgBAAB4gmAHAADgCYIdAACAJwh2AAAAniDYAQAAeIJgBwAA4AmCHQAAgCcIdgAAAOkc7BYvXmz9+vWzjh072qhRo6ysrKzJfTdu3Gjjxo1z+7dp08YWLVp0OMcLAACAlgp2RUVFNmPGDMvPz7d169ZZTk6O5eXl2Y4dOxrdf8+ePda/f3+bN2+e9erVK9GXAwAAQLKC3cKFC23KlCk2efJkGzx4sBUUFFhWVpYVFhY2uv8pp5xiCxYssEsuucQyMzMTfTkAAAAkI9jV1tZaeXm5jR079u//QNu27nFpaWki/xQAAABaWPtEdq6qqrJ9+/ZZz549Gzyvx5s2bWqxg6qpqXFb1O7du1vs3wYAAPBVKEfFzp0717p06VK/9e3bN9WHBAAA4Few6969u7Vr184qKysbPK/HLTkwYubMmbZr1676bcuWLS32bwMAAPgqoWCXkZFhubm5VlJSUv9cXV2dezx69OgWOygNsujcuXODDQAAAC1YYyea6mTSpEk2YsQIGzlypJuXrrq62o2SlYkTJ1p2drbrTo0OuHj99dfr//v999+39evX21FHHWUDBgxI9OUBAADQUsFu/PjxtnPnTps9e7Zt377dhg0bZsXFxfUDKioqKtxI2aht27bZySefXP/4jjvucNtZZ51lq1atSvTlAQAA0FLBTqZNm+a2xuwf1rTiRCQSOZSXAQAAQGsfFQsAAIDEEewAAAA8QbADAADwBMEOAADAEwQ7AAAATxDsAAAAPEGwAwAA8ATBDgAAwBMEOwAAAE8Q7AAAADxBsAMAAPAEwQ4AAMATBDsAAABPEOwAAAA8QbADAADwBMEOAADAEwQ7AAAATxDsAAAAPEGwAwAA8ATBDgAAwBMEOwAAAE8Q7AAAADxBsAMAAPAEwQ4AAMATBDsAAABPEOwAAAA8QbADAADwBMEOAADAEwQ7AAAATxDsAAAAPEGwAwAA8ATBDgAAwBMEOwAAAE8Q7AAAADxBsAMAAPAEwQ4AAMATBDsAAABPEOwAAAA8QbADAADwBMEOAADAEwQ7AAAATxDsAAAAPEGwAwAASOdgt3jxYuvXr5917NjRRo0aZWVlZc3uv2LFChs4cKDb/6STTrInn3zyUI8XAAAALRXsioqKbMaMGZafn2/r1q2znJwcy8vLsx07djS6/5o1a+zSSy+1K664wl5++WW76KKL3Pbaa68l+tIAAABoyWC3cOFCmzJlik2ePNkGDx5sBQUFlpWVZYWFhY3uf+edd9p5551n1113nQ0aNMhuueUWGz58uP36179O9KUBAADQjPaWgNraWisvL7eZM2fWP9e2bVsbO3aslZaWNvozel4tfLHUwvf73/++ydepqalxW9SuXbvcn7t377bDsaf2c6ur2VP/b32ekdD/flKF9djCelxhPrawHleYjy2sxxXmYwvrcQnH5s9xhfnYwnpcyTi2aP6JRCIH3zmSgPfff1//YmTNmjUNnr/uuusiI0eObPRnOnToEHnooYcaPLd48eJIjx49mnyd/Px89zpsbGxsbGxsbGzmti1bthw0q4Un3sZQi2BsK19dXZ19+OGHdswxx1ibNm1SemwAAABBUkvdJ598Yn369DnovgkFu+7du1u7du2ssrKywfN63KtXr0Z/Rs8nsr9kZma6LVbXrl0TOVQAAABvdOnSpeUHT2RkZFhubq6VlJQ0aE3T49GjRzf6M3o+dn955plnmtwfAAAAhybhrlh1kU6aNMlGjBhhI0eOtEWLFll1dbUbJSsTJ0607Oxsmzt3rns8ffp0O+uss+wXv/iFnX/++bZ8+XJbu3atLVmy5BAPGQAAAC0S7MaPH287d+602bNn2/bt223YsGFWXFxsPXv2dH9fUVHhRspGnXbaafbQQw/ZjTfeaDfccIN9+ctfdiNihwwZkuhLAwAAoBltNIKiuR0AAADQOrBWLAAAgCcIdgAAAJ4g2AEAAHiCYAcAAOAJgh1C7R/+4R8OmAcRAJA+NNvGZ599lurDaDUYFYtQ09Q5y5Yts+9+97upPhQgpXSD8/TTT9vbb7/tlhbq1KmTDRgwwPLy8uxrX/taqg+v1frTn/5kzz//vJuOC+GkFa8eeOABrgNxCuVasclUVVVl//Vf/2UffPCBnXDCCXbBBRc0mHcv2T7++OOElkfThM6XXHJJUo8JwVi/fr0LqXfccUdSX6dz584J7a/1l3ft2mVBeuutt9wKNPuHlHPOOceOP/54C5va2lr77//+7/rzRk5OTmCv/f7779u3v/1t9/qN3YcvWLDAzRf68MMPW+/evS2sXn/9dfcdCNvFedWqVW5eVoLd32zbts392dyapNpH542gPm++tD9VVVW5a/q0adOS+jpeBrvf/e53ds8991hRUZFb3zaqtLTUBbmPPvrIfVD0wdTqGc8++6wdeeSRgRzb2LFj3Z13PGu+3XXXXfYv//IvgQW7Cy+8MKH99f49/vjjSTseH7z77rtugu4HH3zQ3njjDfeeJTvYffrpp3bEEUe4kHT00UdbmOjYpkyZYitWrHDLEe5PN1n6vN99992BfSejnnrqKXfO+PnPf97gvLFp0yb33VAIjbr44ovdCbp9+/ZJD5Rasee1115z79uECRPc5O5HHXWUey/1/L//+7/bvffea1//+tftpZdesg4dOlgYrVy50gWosAW7VNDvrCk6R3Ts2NG++MUv2vDhw5P+GYtVXl5uo0aNct8BrTLVFH32r7/+elu3bp2ddNJJgR1fa7Rnzx63KIOuAcoan3/+OcHuUIPd3r17G5ycFeR0UlTLhE4uWhLtD3/4gxUUFLgP8Zw5cwK7az377LNda0VzF93bb7/drdYR5Jq6r776qjupxCuRfQ/HY4895lp44j2mn/3sZ5ZKf/nLX1zrib7IupnQhVbL6k2dOtXdWCTbpZdeak888YRbEea8885zF1IFE10sUknfQR2HWkjOPffcJkOKgnBlZaX7jgSpsLDQfc5izxty2WWXueejSyk++eSTLqT827/9m11zzTVJPSa9F/pe6rOk32ss3RyefvrpbtPn6/LLL3fnPi3riHD73ve+585VzbVE6e979OhhCxcuPOB3nyyLFy+2r3zlKwf9XOvv9X351a9+ZUuXLg3k2IK63rQE3bTqRlHfWzV+KNypR0INNUFcA/TB8s5xxx0XmTVrVoPnVq9eHWnTpk3kRz/6UYPnL7jggsiQIUMCO7Znn302kpWVFRk+fHjkL3/5S6P7XHvtte5Yzz333Eh1dXUknel9SGRr27ZtSo5zz549kd/97neRr3/965GMjAy3nXHGGe54VqxYEfjx6HPz4IMPRs4///xIhw4dIp07d45MnDgxUlxcHNm3b18kFR599FH3O5o/f36z+82dO9e9bytXrowEqX///pGf/OQnDZ5bt26dO+bLL7+8wfNnnnlmJDc3N+nHpPPTV7/61bj21X4XXnhhJKxuvfXWlH0/w3Zca9eubXZ74YUXIkuWLImMHDky0q5du8jTTz8dyHH169cvkp+fH9e+N910U+RLX/pSJAj6Dvbo0cO9Xjxb//79I6lQWloamTZtmjtWfaZ0LPrznnvuCfQ4vGyx27Fjh33pS19q8JyKjpX4tdZtLHVX/fSnPw3s2NRa9x//8R+u5ULdsmqa7datm/s73b2pu0V3Qt/61rdc2g9rt0qQ1Ko6btw4C6PoXZma2nVXNmbMGHfXq+NVy53ufoOs4YzKyspyLXXadBzqYlRrzj/90z+5FqnvfOc7rjtA9WJB0eurNu0nP/lJs/vp+6iuHrVWXXTRRYEdn9a+1l11LLV66ryhFpZYOi61/CfbK6+84s4J8dAgiqBaT3B4cnNzD7rPGWec4VqJTznlFJs/f767ViWbakj79esX177HHXdcfT1eELKzs90WNps3b3bXAJ2v3nnnHVcjrO+sWlkzMzPdNSDokhgvg90xxxzj6uhirV692oWk/b9QquMJuolXU3ioG1g1Mfrv5557zhWP64Ogbscrr7zS1RiFqelZ4aCsrMx1menirA9rUNRVp99pGP3jP/6ju4lQ17kK3Hv27Fn/dx9++KGFgd47dQNrU52YTjq/+c1v7Atf+EIg4SRK9Tjq1oyHbnx0sgySPmcK5/ufNxTMVXcUSwOg9u3bF0ixdbwXM+2n/WGuyytea9eutbDKyMhwjREaIBMEXQ/jPW/pGqsbyKBce+21oazPHDx4sPXq1ctdv/W7UhCPiq3LDZKXwW7o0KHujv9f//VfXeGpRpVpSLumBNi/zkhvfHOjf5JFNTGq1VFhtFp5FAg0qEKtGfPmzbNU0YAN3XnofVMrhe4YVUukVpS//vWv9fvpQ3z//fe7YejpTF/oP//5z+69UKG7Cv9T8Xk6mDVr1rgWMw1a2Llzp6vLCnqKDLWkqyA8HtpP+wdp0KBBrh5m+vTp9ReuF154wY04VeiLtWXLFve7TzbN3aW7/nhDQOx3NAiq/4qXzsFB+fWvf53Q/mG6iW7sxiyoOdx07VSPUnMDJ6L+8z//0+2f7jp06ODOFe+99547L+g9ifc7myxeBjsNW1dw0ogipWcFJg2maOzDqg9xbMIOkpra1dWjVp+NGze6QRy6K0kVBbof/vCH7s5fTcf//M//7Jrm9X6qdVHdyBrRo/dMIUGjoTQyKp1t3brVtbhqGhMNwFEwVxDQneWwYcNSemwbNmxwv1Pd5OikoxOOvgMK5X379g38eKqrq91o3XjoBmz/1rNk+/GPf2zf+MY33PdRv0N9znUMauncn763J598cmDvWzytKGpND1qi56ugAlRjI65bq5dfftmOPfbYQF5LA2+uuOIKdzP/ox/9qNngrLn/NPtEuqusrHQ3zLoGqNdGN4E6j+gaEG+3douLeOrhhx+OnHjiiZGOHTtGTjjhhEhhYeEB+5SUlESOOuqoSFFRUWDHddJJJx2wHXPMMe44G/u7oUOHBnZsp556auT000+P1NbWuscqom3fvn1kwoQJB+x79tlnRwYPHpz0Y1KB7oYNGyKtwWeffRZZvny5K3jX4AkVzWqbPn16ZOvWrYEdx2233eYGBOm1jz/+eDeQaOPGjZFUUwH0Qw89FNe+y5YtS0mh/YIFCyJdunRxx6pBTo0VkqtAWn9/7733Jv14ogOC4tlSMXjo3XffTXhD/B5//HF3Lvnxj38cyOtpYNV5553nPkf6U9/DV155JfLOO++4P/U4+vd5eXmRurq6QI5Ln20NBgu7ioqKyLx589x1W8fcqVMn917pnFxTUxPYcbDyRMDU7ZroXesf//hHC6rJ/6abbqq/U/vf//1fV1yvqTs0mCOW7ujUOhVEF4FqrVTwr+Jw0YS2jdVqqftOxxUGamGJDgBQN6h+52rBU+1Yfn5+Ul9bNWFqGdNAiXimy9GxJXvajuhxqSUunnm51DJcU1MTSB3b/vSaqlXTVBONfVf1mVdLnurskl2KcCjTMCX789VaaJoYlZaoVELnNg0YUktKGBxszlB9xt58803XI6CeEZUEJDrx+KFSd75aYpcsWXLA909xQZ951en+4he/iLsF/nCpx0E1wUHW9LXE50+teLoO6PeoljwNgNHvXiVOyeRlsNOHUnNkBTk7vI/Ld2nAhL5MGrmrQR77hy012yf7wqs6RM37o9GnGkUce1yqS4zWTOpjrPoG1X2oKy1skxTrfdV7ppN1st+zREfhKrwEEaAmT56c8M/89re/TcqxoGXsf15oaqJd3WSonCMoGk2sm5rYmkMdj8pd1OWeauqia+4GP/Z9+/73v5+SOShVm65VmjSx+u7du12wHDhwoDu/BtU1HDvwKlHDhw+3sNDcnboGaHCk5tJN9vnWy2CnC5u+NPoQatJO1RSlrK/7MKilRx+IoJa6CWOw02AE3a1pot+opo5Lq4hohKqm9ghzvUyya7P0fiUq3kENPjuUUczRqYrCckFTa4ouwPp9BjHNjiaYbi6gqGVTN1w6T6jFXYNTgpjC6Zvf/GZ97avOEZpgWoPB1HqnQTlMI9V6lseKvabHI/L/q0qlorX/YDTATjNiaOWaZPJy8IRaRRQ89KGbNWtW/QoOCnkqbgzr1BmNdcEGvYahhv5H7w7V5akviKZ80Bq3sf7nf/4nkOPREkkq5o2HmrhTWcwbzyLtQRTcK9hphKfCL+Kn7v5EyySSffHQSheHMuBA01aoXEGjVpPZXabVQg5G3YqavkkDd9RipnNyEEtjadBLtJVQA4d++ctfupCngWqpHtikgWlXXXXVAdPohF0qlseK0nVJs0jofBrkMmvJWIoz2cHOyxa7/e949SFUnZialnWnpg+GTnr6hQRVI3AobrvtNhfsgrrzCGMXnr7MmqA4doJYnVx0cdAI3tgJZdVtp5N5UFMDxLtIu96nIBdpV6vNAw88ELo5n8LYIhZL9aWJhqhk17NpGp1E6POnmwrNOan6TtVC6fsTBvo8qotUwSrZdOHX+UAlOVFqqdMUNWrJU61zKu3fO9Ial8fS9VNlMmeeeWbSj0ETb+vz/OKLL7pzgmq+9d599atftVRr+/+1w/psxROndI7RRMbJFJ7YmyTqZ9emhdfVrakPh/q5VYulYkbNIK+QFy3MT2dBDdJIhL4w+0/joAJa3X03Ni2E5vIKUhgXaQ/rvdqhtCAG2Z2iYBc2h1NkrcEdKksIS7DT3Ilq7QkqjOw/sCX62KepUJJJ56poo4i6XdW9r1CnQRXx9qK0FJ1btekmWtdwTbelz7VWv1CplbZUzamXnZ3tjkst/gqbKh8KYo7LtA52sSlZ3WHaNOu+ikI1Ykp3TfqgqEk53WnuPxUb664sOpJMYSSIVqamfPnLX3Z3afE092s/7R8kFmlPLHCqhVxB+MQTT7Sw0mhcnRf271bXZ0s3gDp5B30DcSh0rlM9T1goFATZhaaBV1omLvb1dR3QnGPr169PycjwsAvj8lj7h6jrrrvObRrUoWPVOVVd/FoBQg04eQE30qiGVHP66T275ZZb3LHpfK8GI7Us6twRuEia0VwyWox83Lhxbu44zTXTp0+fSBgFvTh1ZWWlm/csOieWNs3z98wzz0RS+R5oEXvNHdacl156yc25p/2DFMZF2hOZLy5IN9xwg1ucW8eXk5MTmT9/vpv3KUxeffXV+oW7dZxdu3aNHHvsse7P6DxxAwYMiLz++uupPtRWRfOd6fN/2mmnBfJ60fNXvFvQ8//pNa+++urI/fffH/cWBL0Puh5q3ryysrIGf/fWW2+549b1M0w0v97XvvY1d2xz5sxJ6bFoDtjf//73ke985ztuHkxljIsvvjiyYsWKyF//+tfAjsP7GjvR/6IK25WoV65c6YYbK0WrgFGtKCqoDWqh9kTXMFTdVlDdUZq/Tq2YWootOpJMdyAaZZeqNe/UWqJCZy2DpXpD3QXFtiBqZQzdtek41RSuO/Eg75DUPaE7Wg3QOZhbb73V1YocyqjVZI0gE+0bZIu1Rnvru6iWE41wVv2hfq+qUwyypm5/6jrXnGGqxfrZz37mutVj12lVd4u61fV71GdQ9WIapJDODlY3qXpXtQLpvKISGLWE7t+ynY4jw6Pf0Xgvv0GN8lTpi45Nrer6PenP6PJYugao1fqRRx5xo45TST1KaqnT9vrrr1v//v3d8Wqd9eOOO87CQOcTfebVZazruEo9dF4JgtddsdECYtUIaNkPdQOomVZhToWfqZgbKMxrGKrrSd2Eas6O0lxx6nrSyVmTFQdNIU2FuwrhmhBZS5ipdihaw6bRujo5qhleoT3oZu+wLtKuOf/UbRJGCnLa7rzzTve71XdUc0/qpufcc891ITkVowVVbF9RUeFuAhsrrtfvb+bMme7YNNHofffd5wbwpLN4RxKrrlQ3X0GEukMJaamou7v55pvtvPPOszAJ5fJY/083XKoZ1flCQUl1bJp0WvXLmuoqbOUcTz31lCtr0hRXyhpBvn9eBju17CjJq0ZAF31dRJSUx48fn9IWgbAX7uqitv/arxp1pPdQX/hUBDvRCCy1xCmga9DLpk2b3ISZOnkrqKsOUF/wVAyBD+si7Sq6D/uIOxWzawJWbapT0TGrLkprN6ci2KkeTcHyYCMm1ZqtYKe1ZNM92OlcG89Eu1pnOozT72jaJrX4KzCo9T9ImnMzNzfXwkR1wWr10qbvpEKUNgU9hTz9rnX+1aCxIOtM9b3U4D4dg1oLdZMQZE9bvNf2Z555xmUPDRJSTadusNVLo4aJIFv3vQx26irRPF66I1IXT6rvNOKl7jAt46WWKB2/PsRB32Xs34oZfZyqwSVaSic6J1t09FPYhHmR9tYwJ5ZOhDoh6kKh76tGqqfChg0b4i6V0EVFLY7pLowjiQ9GJSbRAQL6b91ghGHajLDp27evu9HXFrs8llrU582bF9jyWKI58zTwSjd9Ksv51a9+5bamtGnTxrWWpaK05NRTT7Xbb7/dNTaoRTsVvAx2mlBX8z+pNqy5UKcPhkbW6M8gZyJXq4QuZmphUh2PLhK6wGnkZ/SuURc5LX2jkBr08lexs92rHlEUONUFGvSyLRrZF8Y52WJdffXVbot3RvR0phsEjUjXiVAtXnqs7ijVrqWqPCJK4TzeaQpUonAo8/Ihdd14CiUKdKpdFrUiKpiqxVgtVWiaphLRyFNtsctj6boVRLBT3ZzOnboOxaNNgOdZ3RRE1+aOXeVKPWDaGpPs66aXwU5fXAU7FVU2R4WhqtvSh/YHP/hBIMdWXFzsug4VJPVh0BeksLDQzQukOjHVNehip/75uXPn1hfnB0Vd1o0VeGri31Qs2xL2sT0suB4/rXn56KOPum50TWq6aNEiNx1AYzcMqaAW63hv8HRTpu4ohJda0hU+FOY0KbF+Zzrna54x3TTrZixVgwAUhjSVSGsS7VFSl6K+u5o2LKjpdNTgEGafffaZO7fp89acoK6bXo6KVYJWINIX+mDUYqYRVOryC4Ja51RAr9fTBU0nF7VWqGVK9WPROw19idSkq1+PlscJQqKz3Euy79Za0wztOPjvUjczaqGLZ8CJvgtBdnfq+NRCHk9Bu1rdFerDuB4lzLWcqEV47969rs5Jj9XFr/KWMI3uDKMw9ijpmn7GGWe4P1Uzn8q59FrDddPLYKdmddUAxNMKp2H4Gum2/1qoyaIuHNUsaN1EUauiVipobIJbra6gegbdeaYrXWwbe2/CQqM5dfLLyclJ9aGEXhiXrPNxoXH87XepwQnqDdFksbHCEOwOZX3RIGrG1KOkLsVoj5KuPbE9SmqAiPYo6X3UVB5B9CipK3br1q3ufdA2cOBAF/KiW2upow+Kl12xiYzY0X7qggmKCj8V7qJ69Ojh/ox9LvbvghpFGWaankZbGOdk0yLrCuA60egYY2sscHgjwoOuYdN0J/CDbrhUU6fWJgUStfhrVgTNdxYGGowQz02Ezv+akSComjHV0KmhIbZH6aqrrnIDJRrrUQoq2KlWTcFO9fPaNGBB05xoeTMdU58+fdwKP9Ggl5OTk9b1zF4GO/2StUZnPLSf9g9S7AcunT98PszJ9uabb7oWRV1EZs2a5VpYR48e7UKe6iW1LBvip5usJ554wr2nahVQ7UpQgigCRzCihf6aIkOfpQULFrjv5ogRI1wLXqrPuwerGVOgu/vuu23+/PnusWpSg7Bx48b6uUJFo8QVnnQ+i33P1E2rEezxTMzeUo499lhXH6ktOsuAAt6f/vQnt6neTyNTRQMnP/roI0tbEQ99//vfj3Tr1s0tkdUc/b32u+qqqwI7Ni17ctttt0XKy8vd9txzz7nnCgoK6p+LbrfcckvgS92Ejd6bBx98MNIa6Hc2Y8YMtwSVjjsjI8MtObZ8+fLInj17Un14oV5uSsvWfe9734t06dLFvXc9evSITJ48OdWHBo+WknzkkUci3/zmN+uXkhw6dKg7F2sZubDQslOLFi1yy3rp3K+lslatWhXY6+t9WbZsWf3jnTt3uudKSkoO2Ff7heX6tG3bNned0JJ1bVKwRFzYeBns3n77bbdO24knnujWEG2Mnh8yZIjbT2vgBSX6oYvdGnsu9vl01pqCXWxQUWC/8sor3Y2D/h86deoUmTBhQqS4uDjVhxcaa9eujVxzzTWR3r1713/Wv/vd70bWrFnj3kMgGT7++OPIkiVLImPGjKk/12p94LAEOn0XFOief/75lJ9vq6qqQhnsNmzYELnrrrsil19+ef3azkcccYQLdtdee21k5cqVkXTmZVes6ii0SoHqnTSCRo+1BqSWm9Lao+p+VeFnVlaW60ILctg5dTz+U5eFioy1aUoAzdumQToa3av521I12XMYaDUYdY1p09QJGh2rLh0tCaQaqHHjxrmubCCZg+tUF6ZNdVv6TsYzg0KySg90blC38fbt2905Q9ckjQBNldi5TJubx1TrtQbl+eefd92tqq976aWX3GBH1aXr+q7VX/SnVvEIcjWMUIt47M9//nPk6quvru8ai27Z2dmu+1Utewi31thiF9v98+ijj0bGjRtX3/2jO/J0deqpp7o7a3WzTp06NfLiiy/W/51azfX+6P0Cgmole/jhhyMXXnhhJDMzM9DX/uyzzyILFy6sb60+++yzIy+88EIk1cLaoxQtbbnssstcSyHX7jRssYvS6ETdDWlTS50mRlVRZdALxcPPtXUbo/IGLSKvVoCVK1e6O1593tQapQJkjdJLV1q4W1NQaCSxJopNxdq+SG/R76da6PT91DVByxUGPU+mvgdaDWPYsGHu+hRtoWtuJHgQ65yHtUdJPW4a2KH59bT0n1roonPa6b1EGsxjBwStrKzMhTmVAGh6AoWWvLw8F+ZSvVRWWKhbWu+RRrLpIqVuV41wGzNmjOuiTfXcYvCXJnmPjl5Xl6fKJfTZ06S7mrYj6FGysXM6xvva6T5nohpnSktL60fB6kZR601rWjAFPE13Eu2S7RDgEqFhRLADDsPs2bPdXaSCib5KOrGoZkwtdEHcYbdGqs2JLsK+adMmtz5rtLZIwe7iiy9O9SHC03pOfS+j9ZypvImYM2dOwj/D8oUHBt3169e7kBed9mTbtm2WmZnpprUJajWpMCLYAYd5563JiRXmtDE58aG1pBQVFbnlilQQfcEFF7hWTs1fSEsnDoUG4KgVvXv37m49Yg2kU9ddWFaeQMtS9+yLL77oziWlpaVpvyoMwQ44DC+//LKdfPLJqT4ML2optVC7Rg6r9kndLhq1rklIgUNdUqyxes4wBLvoqNNEDB8+PCnH0tpoJLG6YaOrUGiUbHT0rlrrTjnlFBfib7vtNktXBDvgMAwdOjSh/XUn+corryTteHygWfe1Lqa6aoNYHxP+CXs9J+sSJ0bngWiQ08303r173fuilX2iAym0qQu2Q5rX1wnBDjgMulDEc4JWwfbmzZvT/gQNBCms9Zz3339/wj+TzkveRQebqBU2GuK0DRo0KNWHFkoEOyCJFOi03qPWfdRd5oQJE6ywsDDVhwWkHeo5Wy+tAasg17t371QfSqtAsAOSQFOezJs3zy2grUCnaU9mzZoV6ConAA5EPSd8R7ADktBCFxvobrzxRresHYBwoZ4TPiLYAS0U6NRCt3Tp0vouVwU6ZkUHAASJNX2Aw6BanWig+/zzz23ixImuy5VABwBIBVrsgMOg2hzNq6Q1H2+44Ya4Ah3zUQEAkoVgBwS05iPzUQEAko2uWOAw/Pa3v031IQAAUI8WOwAAAE/8vR8JAAAArRrBDgAAwBMEOwAAAE8Q7AAAADxBsAMAAPAEwQ4AAMATBDsAAABPEOwAAADMD/8H/lo7zwHiGGIAAAAASUVORK5CYII=",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
-      ],
-      "image/png": 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"
+      ]
      },
      "metadata": {},
-     "output_type": "display_data",
-     "jetTransient": {
-      "display_id": null
-     }
+     "output_type": "display_data"
     }
    ],
-   "execution_count": 9
+   "source": [
+    "from pypfopt import plotting\n",
+    "\n",
+    "plotting.plot_dendrogram(hrp); "
+   ]
   },
   {
    "cell_type": "markdown",
@@ -762,17 +867,17 @@
   },
   {
    "cell_type": "code",
+   "execution_count": null,
    "id": "macro-found",
    "metadata": {
-    "id": "macro-found",
     "ExecuteTime": {
      "end_time": "2025-11-12T08:12:06.518660Z",
      "start_time": "2025-11-12T08:12:06.514826Z"
-    }
+    },
+    "id": "macro-found"
    },
-   "source": [],
    "outputs": [],
-   "execution_count": null
+   "source": []
   }
  ],
  "metadata": {
@@ -782,9 +887,9 @@
    "provenance": []
   },
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "name": "python3",
-   "language": "python"
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -796,7 +901,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.4"
+   "version": "3.11.0"
   }
  },
  "nbformat": 4,
diff --git a/pypfopt/data/__init__.py b/pypfopt/data/__init__.py
new file mode 100644
index 00000000..ebc6902d
--- /dev/null
+++ b/pypfopt/data/__init__.py
@@ -0,0 +1,3 @@
+from .data_loader import load_stockdata, available_tickers, load_marketcaps
+
+__all__ = ["load_stockdata", "available_tickers", "load_marketcaps"]
\ No newline at end of file
diff --git a/pypfopt/data/data_loader.py b/pypfopt/data/data_loader.py
new file mode 100644
index 00000000..d8cb80d9
--- /dev/null
+++ b/pypfopt/data/data_loader.py
@@ -0,0 +1,47 @@
+import pandas as pd
+from importlib import resources
+
+
+def _load_raw_data(filename: str, **read_csv_kwargs):
+    with resources.files(__package__).joinpath(filename).open("r") as f:
+        return pd.read_csv(f, **read_csv_kwargs)
+
+
+def load_stockdata(tickers: list = None, start: str = None, end: str = None):
+
+    df = _load_raw_data("stock_prices.csv", parse_dates=["date"])
+
+    if start is not None:
+        df = df[df["date"] >= pd.to_datetime(start)]
+    if end is not None:
+        df = df[df["date"] <= pd.to_datetime(end)]
+
+    if tickers is not None:
+        cols = ["date"] + tickers
+        df = df[cols]
+
+    return df.set_index("date")
+
+
+def load_marketcaps(tickers: list = None):
+
+    df = _load_raw_data("market_caps.csv")
+
+    if tickers is not None:
+        available = set(df["ticker"])
+        invalid = set(tickers) - available
+        if invalid:
+            raise ValueError(f"Invalid tickers: {invalid}")
+
+        df = df[df["ticker"].isin(tickers)]
+
+    return dict(zip(df["ticker"], df["market_cap"]))
+
+
+def available_tickers():
+
+    df = _load_raw_data("stock_prices.csv", parse_dates=["date"])
+    cols = [c for c in df.columns if c != "date"]
+    cols.sort()
+
+    return cols
diff --git a/pypfopt/data/market_caps.csv b/pypfopt/data/market_caps.csv
new file mode 100644
index 00000000..50a87159
--- /dev/null
+++ b/pypfopt/data/market_caps.csv
@@ -0,0 +1,34 @@
+ticker,market_cap
+AAPL,752207537100
+ACN,1901675041287
+AMD,1465327913913
+AMZN,1199323675973
+BAC,316257187682
+BLK,316209068070
+COST,120876806275
+CVS,1733021410820
+DIS,1204224448427
+DPZ,1417604792703
+F,46066066120
+GILD,1939970155063
+INTU,1665723068396
+JD,428616525803
+JPM,367740809578
+KO,370891997157
+LUV,611963274704
+MA,1051889081106
+MCD,866730312191
+MSFT,586002134695
+NAT,1225646524971
+NVDA,283290252000
+PBI,587828573827
+PFE,735891877370
+SBUX,914859618512
+SPY,1571426042979
+TGT,403349195405
+TM,1030897704635
+TSLA,1186867064879
+UL,97668573376
+UNH,1217051979543
+WMT,345195626756
+XOM,134777928005
diff --git a/pypfopt/data/stock_prices.csv b/pypfopt/data/stock_prices.csv
new file mode 100644
index 00000000..fb8e3668
--- /dev/null
+++ b/pypfopt/data/stock_prices.csv
@@ -0,0 +1,757 @@
+date,AAPL,ACN,AMD,AMZN,BAC,BLK,COST,CVS,DIS,DPZ,F,GILD,INTU,JD,JPM,KO,LUV,MA,MCD,MSFT,NAT,NVDA,PBI,PFE,SBUX,SPY,TGT,TM,TSLA,UL,UNH,WMT,XOM
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diff --git a/pyproject.toml b/pyproject.toml
index f73f7125..947c0ce9 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -62,7 +62,6 @@ all_extras = [
 dev = [
     "pytest>=9.0.0",
     "pytest-cov>=7.0.0",
-    "yfinance>=0.2.66",
 ]
 
 # notebook tests
@@ -87,6 +86,9 @@ requires = [
 [tool.setuptools.packages.find]
 exclude = ["example", "example.*", "tests", "tests.*"]
 
+[tool.setuptools.package-data]
+pypfopt = ["data/*.csv"]
+
 [tool.ruff]
 line-length = 88
 # Keep Ruff aligned with project target version