{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "64b190db",
   "metadata": {},
   "source": [
    "# Hyper-parameters Optimization for Electricity Load Forecasting\n",
    "\n",
    "In this notebook, we demonstrate how to carry out hyperparameter optimization using a deep learning forecasting model in order to accurately forecast electricity loads with confidence intervals. \n",
    "\n",
    "We will work with [this dataset](https://archive.ics.uci.edu/ml/datasets/ElectricityLoadDiagrams20112014) (readily available in `darts.datasets`), which contains measurements of the electricity consumption for 370 clients of a Portuguese energy company, obtained with a 15 minutes frequency. We will attempt to forecast over a horizon of 2 weeks. At this frequency, this means we attempt to forecast 2,688 time steps in the future. This is a quite demanding requirements, and we will try to find a *good* model to do this.\n",
    "\n",
    "We will use the open-source [Optuna library](https://optuna.org/) for the hyperparameter optimization, and Darts' [TCN Model](https://unit8co.github.io/darts/generated_api/darts.models.forecasting.tcn_model.html) (see [here](https://unit8.com/resources/temporal-convolutional-networks-and-forecasting/) for an introductory article to this model). This model employs dilated convolutions, which work great when capturing such high frequency series (15 minutes) over long periods (multiple weeks), while keeping a small overall model size.\n",
    "\n",
    "It is recommended to have a GPU to run this notebook, although all of the concepts apply irrespective of whether the models run on CPU or GPU.\n",
    "\n",
    "First, we install and import what we need:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "aa35c133",
   "metadata": {},
   "outputs": [],
   "source": [
    "# necessary packages:\n",
    "!pip install -U darts\n",
    "!pip install -U optuna"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "e21e8ba2",
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import optuna\n",
    "import torch\n",
    "from optuna.integration import PyTorchLightningPruningCallback\n",
    "from optuna.visualization import (\n",
    "    plot_contour,\n",
    "    plot_optimization_history,\n",
    "    plot_param_importances,\n",
    ")\n",
    "from pytorch_lightning.callbacks import EarlyStopping\n",
    "from sklearn.preprocessing import MaxAbsScaler\n",
    "from tqdm.notebook import tqdm\n",
    "\n",
    "from darts.dataprocessing.transformers import Scaler\n",
    "from darts.datasets import ElectricityDataset\n",
    "from darts.metrics import smape\n",
    "from darts.models import LinearRegressionModel, TCNModel\n",
    "from darts.utils.likelihood_models.torch import GaussianLikelihood"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bb924d68",
   "metadata": {},
   "source": [
    "## Data Preparation\n",
    "\n",
    "The following cell can take a few minutes to execute. It'll download about 250 MB of data from the Internet. We specify `multivariate=False`, so we get a list of 370 *univariate* `TimeSeries`. We could also have specified `multivariate=True` to obtain one *multivariate* `TimeSeries` containing 370 components."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ad080108",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a0ebc53538cb46f78f4a55ae9fbc4913",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/370 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "all_series = ElectricityDataset(multivariate=False).load()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba412611",
   "metadata": {},
   "source": [
    "We keep the last 80 days for each series, and cast all of them to float32:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "06f710a2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e2a24cf4419e47bbaa15b29fe94fd456",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/370 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "NR_DAYS = 80\n",
    "DAY_DURATION = 24 * 4  # 15 minutes frequency\n",
    "\n",
    "all_series_fp32 = [\n",
    "    s[-(NR_DAYS * DAY_DURATION) :].astype(np.float32) for s in tqdm(all_series)\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70c98f79",
   "metadata": {},
   "source": [
    "We have 370 univariate `TimeSeries`, each with a frequency of 15 minutes. In what follows, we will be training a single global model on all of them.\n",
    "\n",
    "First, we create our training set. We set aside the last 14 days as test set, and the 14 days before that as validation set (which will be used for hyperparameter optimization).\n",
    "\n",
    "Note that the `val` and `test` sets below only contain the 14-days \"forecast evaluation\" parts of the series. Throughout the notebook, we'll evaluate how accurate some 14-days forecasts are over `val` (or `test`). However, to produce these 14-days forecasts, our models will consume a certain lookback window `in_len` worth of time stamps. For this reason, below we will also create validation sets that include these extra `in_len` points (as `in_len` is a hyper-parameter itself, we create these longer validation sets dynamically); it will be mainly useful for early-stopping."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8bdd3ceb",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Split in train/val/test\n",
    "val_len = 14 * DAY_DURATION  # 14 days\n",
    "\n",
    "train = [s[: -(2 * val_len)] for s in all_series_fp32]\n",
    "val = [s[-(2 * val_len) : -val_len] for s in all_series_fp32]\n",
    "test = [s[-val_len:] for s in all_series_fp32]\n",
    "\n",
    "# Scale so that the largest value is 1.\n",
    "# This way of scaling perserves the sMAPE\n",
    "scaler = Scaler(scaler=MaxAbsScaler())\n",
    "train = scaler.fit_transform(train)\n",
    "val = scaler.transform(val)\n",
    "test = scaler.transform(test)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d06f7c90",
   "metadata": {},
   "source": [
    "Let's plot a few of our series:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c32898f8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in [10, 50, 100, 150, 250, 350]:\n",
    "    plt.figure(figsize=(15, 5))\n",
    "    train[i].plot(label=f\"{i}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b9037889",
   "metadata": {},
   "source": [
    "## Build a Simple Linear Model\n",
    "\n",
    "We start off without any hyperparameter optimization, and try a simple linear regression model first. It will serve as a baseline. In this model, we use a lookback window of 1 week.\n",
    "\n",
    "**Note:** doing significantly better than linear regression is often not trivial! We recommend to always consider at least one such reasonably simple baseline first, before jumping to more complex models.\n",
    "\n",
    "`LinearRegressionModel` wraps around `sklearn.linear_model.LinearRegression`, which may take a significant amount of processing and memory. Running this cell takes a couple of minutes, and we recommend skipping it unless you have at least 20GB of RAM on your system."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "74a3b218",
   "metadata": {},
   "outputs": [],
   "source": [
    "lr_model = LinearRegressionModel(lags=7 * DAY_DURATION)\n",
    "lr_model.fit(train);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97dd6233",
   "metadata": {},
   "source": [
    "Let's see how this model is doing:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d44c959c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "linear regression sMAPE: 16.01 +- 20.59\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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3txdlZWWoqqpCS0sLXnjhBRx33HGIxWIYGBjAF7/4RRx55JHYe++9AQAVFRXo6+sbsb+ZB9QQhCAIgiA8BkXOCILY3fnZz36G999/H3PmzMEPf/hDPPjgg1nfd/fddyMajWLOnDmYOXMm/vKXvwAAbr75ZnR1dWHWrFmYO3cu3njjDcydOxcHH3wwZsyYgQsvvBBHHnkkAKCvrw+nn3465syZg6OOOgp33nknAOCCCy7A7bffjoMPPni3aQgiqCN716dHzG5KU1MTGhsbR9sMz0Lnh3AKrSHCzKadKva5QHtkPvMrAV86Wij4M7SGCKfQGiKcQmuoaHLe1ClyRhAEQRAeY1Ba4+iZQRAEQYwwJM4IgiAIwmNQWiNBEMTYhMQZQRAEQXgMc+SMIAiCGDuQOCMIgiAIj0GRM4IgiLEJiTOCIAiC8BjmIdQkzgiCIMYOJM4IgiAIwmMMipyNnhkEQRDECEPijCAIgiA8BkXOCIIgxiYkzgiCIAjCY8RTma9JnBEEQYwdSJwRBEEQhMfoj2e+JnFGEAQxdiBxRhAEQRAeYyCZ+Zq0GUEQxNiBxBlBEARBeAxz5IwgCIIYO5A4IwiCIAiP0Z/IfE1pjQRBEGMHEmcEQRAE4TFInBEEQYxNSJwRBEEQhMeghiAEQRBjExJnBEEQBOEx+hMZRUbajCAIYuzgL/SGSCRSBeAVADMBHBaNRteYXvMB+CuA/QC8H41Gv+OSnQRBEAQxZoibuzWSOiMIghgzFBM5GwBwGoB/ZXntdAA7o9Ho0QDKIpHI4TyNIwiCIIixiKxkviZxRhAEMXYoKM6i0Wg6Go225Xj5CAAv61+/COBIXoYRBEEQxFhFUQq/hyAIgtjzKJjWWIAaAL361z0Aaoe+IRKJXA3gagC4/vrrcfLJJzv8lcRokE6n0dTUNNpmeBY6P4RTaA0RZmKxSgBlAIDOzi40NRUefEZriHAKrSHCKbSGiqOxsTHna07FWTeASv3rKgCdQ98QjUYXAVik/5OSM3ZTmpqa8i6ksQ6dH8IptIYIM6VlmdBZdU0NGhuH7X0Og9YQ4RRaQ4RTaA05x2m3xmUATtK//gKAtx0ejyAIgiDGPArVnBEEQYxJihJnkUjkvwA+D+CvkUjk8kgkcp/+0n8ATI1EIksBJKLR6Dsu2UkQBEEQYwazHiNxRhAEMXYoKq0xGo1+cci3/qF/XwJwOV+TCIIgCGJsQ5EzgiCIsQkNoSYIgiAIj2EWZKTNCIIgxg4kzgiCIAjCY5AgIwiCGJuQOCMIgiAIj0FpjQRBEGMTEmcEQRAE4TEGpTWSOCMIghgzkDgjCIIgCI+hkDgjCIIYk5A4IwiCIAiPQQ1BCIIgxiYkzgiCIAjCY1DkjCAIYmxC4owgCIIgPAbVnBEEQYxNSJwRBEEQhMcgQUYQBDE2IXFGEARBEB6D0hoJgiDGJiTOCIIgCMJjUFojQRDE2ITEGUEQBEF4jEFDqEfPDIIgCGKEIXFGEARBEB6DImcEQRBjExJnBEEQBOExzHqMxBlBEMTYgcQZQRAEQXiMQWmNJM4IgiDGDCTOCIIgCMJjkCAjCIIYm5A4IwiCIAiPMaiV/uiZQRAEQYwwJM4IgiAIwmNQQxCCIIixCYkzgiAIgvAYJM4IgiDGJiTOCIIgCMJjKCTOCIIgxiQkzgiCIAjCY6hUc0YQBDEmIXFGEARBEB6DImcEQRBjExJnBEEQBOExSJARhPsoCn3QCO9B4owgCIIgPAYNoSYId3ljpQr/8SoefIE+YIS3IHFGEARBEB7D7C6SOCMI/lz5axWqClx+G33ACG9B4owgCIIgPAY1BCEIghibkDgjCIIgCI9BaY0E4S70sSK8CokzgiAIgvAYlNZIEAQxNiFxRhAEQRAegyJnBEEQYxMSZwRBEAThMajmjCDchTY9CK9C4owgCIIgPAb5jQRBEGMTEmcEQRAE4TEorZEgCGJsQuKMIAiCIDzGoLRGEmcEwR36XBFehcQZQRAEQXgMZZA4Iy+SIAhirOAv5k2RSOQ3AI4AsAXAldFoNK1/vwTAEwAqAUgALoxGoy3umEoQBEEQYwNqCEIQBDE2KRg5i0QicwE0RqPRowGsA3Cu6eVTAayJRqPHAvgHgK+5YSRBEARBjCXMkbNf/GPUzCCIPRYKSBNepZi0xiMAvKx//SKAI02vbQBQpn9dA6Cdn2kEQRAEMTYhx5EgCGJsUkxaYw2AXfrXPQBqTa+tBzAzEol8DEAA8LmhPxyJRK4GcDUAXH/99Tj55JMdGUyMDul0Gk1NTaNthmeh80M4hdYQYSaVqgcQMP5dzNqgNUQ4ZSytIVluAOADUNzniyiOsbSGnNDY2JjztWLEWTe0mjIAqALQaXrtMgBvRaPRn0UikXMB3ALgB+YfjkajiwAs0v9Je4G7KU1NTXkX0liHzg/hFFpDhBmfTxn072LWBq0hwiljaQ2Jps/YWPmbR4KxtIbcopi0xmUATtK//gKAt02vCcikMrZDE28EQRAEQTiAdjIJgiDGJgXFWTQaXQWgJRKJLAVwEICnIpHIffrL/wRweiQSWQzglwDudMlOgiAIghgzKIMDZ3j/UxWKQpKNIAhiT6eoVvrRaHThkG9do3+/B8ApvI0iCIIgiLHM0IYgkatU3Pp1AT++dHTsIQgnNLWp+OkDKr73FQEzpwmjbQ5BeBoaQk0QBEEQHiNbjOwPT1LkjNg9ufRXKu5/Hjj+Bu+sYeqISngVEmcEkQdlaG4RQRDECJDt1pOWR94OguDBhxu1/7d2ja4dBLE7QOKMIHKwYcMG1NfX44477hhtUwiCGGNk29VPSyNvB0HwIEVrlyCKhsQZQeTglltuQVdXFxYuHFpySRAE4S7Zen9IFDkjdlNS6dG2YDiU1rj7s26rinhyz7uQJM4IIgfxeNz4+sQTT8SFF144itYQBDGWoMgZsSdBKbkEb5auVnHgJSq+9CMSZwQxZkgkEsbXr7/+Oh599FFXatAGBgZw/vnn4+mnn+Z+bIIgnPHwSyrOvUVBU9vIOgDZxBnt9BO7K7IHxZlATSN3ax5+WbshvhIdZUNcoKhW+gQxFjGLM0Z3dzdqa2u5/p4//vGPePLJJ/Hkk09CJe+LIDyDqqr45u9V9A0ApWEVD/145Lw5GmlG7IkEA6NtQQZ63O7eJFKjbYF7UOSMIHKQTSi1t7dz/z3Nzc3cj0kQhHO2twJ9A9rXzR0j+7vJcST2RIIUEiA40Z+pPIEs71k3TBJnBJEDn8837HtuiLNUag/e/iGI3ZiWzszX21tH9ndT5IzYEwnkEGeKomJjk0rZI0TRsPEMANCyh41oIHFGEDlIJpPDvvfkk0+OyO8hCGL06enPfL1uG7Bl18g5juSjEnsiudb11ber2PerKv74f6NvC+F9+uMqNjRl/r1p5+jZ4gYkzhzS3NyMRx55BJJEbbT2NFjN2YEHHoizzz4bAPDII48gnebbE5giZ4QXGEioSOyBLYnt0h9Xhw3MfXnFyP1+F3oPEYSrvLNGxVd/rqClM/d9JFtE+KXlKu5/Xvv623fRPYgoTHPn4H8vWzM6drgFiTOHHH/88bj44ovxu9/9brRNITjDIlpPPPEE/vWvf2HGjBloa2vDdddd58rvIYjRQlFUNHxJxbgzyTECgLSkouoLMp7+9ibctG01ZvZrKm2oQ+AmdCWIQtz2vyrOuknxTL3NEdepeOw14Po/5BFn+qbDjlYVLZ0qLviZglNuHPz+0fh7emIq/t/DKrY2e+NcjlVeWq7iqG8q2Lwz/3VoGXIvfuy1Peu6kThzyLp16wAAzz333ChbkkGWZche7FtbgE8++QTXXHMNmpubXRUsiqIUFf1ikbNwOAxBEHDxxRcD0K41z7x4EmfEaNOf0IqrY3EtYuQFXl6u4oa7FLR2jaw9Xcu78O9D38G/P34NV7RuwJF9rbh9SxRndmzLGxHgzVhPuVq3VcW08xX878veOBFpScX8qxVc/3vvhDRvWqTi2beAtz4abUsGsyVPjytF1aL0876mYsJZKh5/ffh7drS5Z5sZ88q6+W8qfvxXFUdf7431NlY55UYVb38EfOPOAuJMz2qYP0P7/9aWzGup9O5/DUmccaKnp2e0TQCgCY+9994bs2bNGm1TLHPBBRdg0aJFmDhxIiorK/HFL34RF110EV5/Pcvd2wGnnXYa6urq0N/fn/d9TJyFQiEAwA9+8AMAQEtLC+bOnctNoFFaIzHaDJimRgxN5RstfvGgirufAmZcPLIP2k/+vgslO/qGff/E7p0jWnTOIgyT6gd/X5J2f8ejGL51l4qtzcAlt3rj733vEyC6DrjXg+MoU3wz7R2Tzx5ZAVZ+BnRkcZnGVWv/39g0/DW3WfmZ9v+RbvxDZKc7lv91di+etbc2r66rT4u4/s8fFVSeuvtHQEmcccIr4iwWi2Hbtm1Yt26dJfHw4Ycfoq1N26565513cMcdd4x416Q1azJJw6lUCi+88AL++c9/4sQTT8RHH/HbGnzxxRfR19eH9957L+/7zJEzAPD7M22mPvroI0SjfCYfUuSMGG36zeKse9TMGATbfe/q06IWI0Xz1oxn+ZcJB+DLB54AySdi30QfEs0j91llf7E4ZLTawBi5XXgtcujlgcVeO1f5xJmiAKs3DP7egpmAukTEqQu0f2/a5Z5tuaguz3zd/HwLPrxhDZqe3MnVD5JlFacuVHDTIu9EX4ulP67i3Y8Hd9PsG1Bxy98UfLpt5Bcg20ScVKddO1XVBN2dTwDJFPCnpz32obAIiTNOeEWcDQwMGF8XG5HZvHkz5s6di/322w+qquKII47AwoUL8fTTI7tFOG/evJyvzZkzB/fddx/X39fd3Z33dSaamDgDgG9+85vG12+99RYXO3g3GCEIq5jnxbR1j5oZgygvyXxtts9tBtq0++ZPph6M5+qmIiX60D2tBgBw0rJPoEgj41gZtTlDUryOv2H3djqKZagoHW18HvaWvDZ2IZWnP5qiAm3dgw0+dYF2sfeepP1/Y9PI/EFm3eXXJ+cc2teOlZeuwo7/bcLqaz9C02P82gCuWAe8+B5w2/9yO+SIcdn/U3H4N1T885XM925apOLWh4BDvs7/ehXSxCzFfHytgLpK7XvtJjc8NoLPDDfw8O1m96K3t9fS+1tbW9HVxT9HxpyqV6w4++STTwBoAvOvf/2r8f133nmHr3EFMEemAGDSpEmYPHmy8e9rr72Way1dIXE2NHIGAH/84x9x1113AQBWr17NzZZiaW9vd2XdEGMbc+SsfYT3mTb/eQvePWM5Opd1Yts/tqNrRTean29B0tQ5ciQftGK/tlnS6w8Y34tfsB/SgoD9m9ux9f7tI2JHLudk5WcjG0kcLUSPeSdeFme7W+SsQ3eXDj0AuOwU4Gunaf+eNkH7/7aW7D/rJv9+G6hPJ/DDHR8O+v7Wv23j9jvk3S9gZvDUm9r/f/1IZrF9sF77vzktfqRgaY3jazLpsOu2Zl4ncTbGyTaoOBe/+93v8O1vfxvbt2/HPvvsg6OOOoq7PbFYJlG32HS5eDyziq+55hrj682bNzu2J5VK4fDDD8fChQsLvpeJjokTJ+Ltt99GU1MTXnzxxUHv4ZnemE+cSZIESZIgCMIw0cjq+XicHwAQisyXSSaTmDlzJiZNmkTRNoIrZnHWN5D7fW6w6Z4t6FzWhXfPWIE1//MJ3jnlPay8dBWO2JIRQf0j+PD3D2ifrT5fRpzVHVKJ/9ROAQB0LBuZzZF8/rZX6gLdxGuRM7NY9Nqg5GLNkeWRGfKcL3KmqkCnLs5uOFfAX65MY+CBjVj9jY8wrlur9Vy1AfjgM+d29sS0GqSPNhY+1rhUHA9+thSliozSA8pw8uYTIZaI6FnVi5aXRrcQLdWZQssLrYhvH33FsYaP2+MYQ5zVZupyz/qxOeVyFIziCIkzhwx13HOxfv163HjjjbjnnnswdepUxGIxfPLJJ3jkkUe42mOOnBUSZ9u3b4fP58N5552X9fWnnnoKisNhO9FoFO+++y7uuOOOgu9l4mzVqlU44ogjAAAHHXTQoOYm5ro0p2RLRb3tttswYcIELFq0CID2EB4qnurrtTtBR0cHFzuKFWednZ1oa2tDIpHAyy+/zOV35+LNN9/E0qVLXf0dY4WBLQNQJAVKWkHss9ioO3bJ1iTSPYPFvTltsDd/nxzuSLHsntxFmz7FXgnNWRvJtMZgYrg4mzUdeKW6EQCw9a2RCS2ab73jU3HsHe/FUT3N+MH2D7EjWqBafg/Aa5Ez88dW8lgz5GLuKD0xFVPPU3Hlr0dAnGXZOzQ/5ljkrE5OYvnZK7Dh9o1oemIn8D/vYXwqjk+2AAuuVdHU5szWm/+m4s4ngDlXZD+O+Zqe2ZmJkE27fTYClX7s8529AQAffedjpHudb4ja2W9I96Tx1nHv4P2LP8Ab85ag+blRCCsCmDwu8/VFv1BGvSMia6U/vka7Pw9l067dO8PAY7e/3Y9AIFD4TdCc3Wyw9uy8MEfOCqU13nTTTQXFl1PxWFFRUZQ9iqIY4qympmbQa//5z3+Mry+55BJuzm028XrTTTehpaVlUG3ZUOrq6gDwE2fFYq4n/O53vwtAS600X3MepNNpHHfccTjmmGNGXUgwtm7dis7OERwyxYme1b1YfOhSLPv8e3j39OVYcvjbeHX/N9D57uiEPuSkgiVHvo3XZ72Jpsd3YtuD2xG9aCXkv30Gn6rdC3r7R7JdvAolof3exq9OwgkfH4unrjsOrQEtlfi2Le+jJp0csciZklYQSsuQAXzp8358+Wjg3b8ImDoe2B4qRUIQUdKdQFeTu105JEk1Gn/UphO4Z+O7uGfTe/jRjo9wTG8LOi5ehk1/2uKqDaON1yJn5pQ0r3VHLGYP9dm3gJ3twD9ecN+eZJbzYxbbHb3Asd27gEveROzTfohh/cWkgtM6tYh5WgLedpgo86mFjMR5/drz5fvTIpCnaUVM+35vb1TNq0SqNYX2xSP7vE+mVJx1XQJPR95FoilzA1z3i89G5blsrgH+56vAE284vz75KFhzpj9CG2qAGy8YfrNYvQH42m+84b/YgcSZQ4oVZxs3bnTZEg0raY2fffZZweO98cYbjuwx30R27sxdWNvX1wdFUVBeXj7snO6111645ZZbjH+zrpJ2MNessZqyfJx22mnDvsfEWXNzM5ebZLGRM7M4W79+Pa6++mrMmzcPn/vc5yBJefJILNLe3m58XUz6pNsPiq6uLuy3336YPHmy40guL1RVRbypcDind40W+eld3YvuqBZxSXem8f7FH0Dq53fNiiXVmkS6Mw15QMbq6z7Cmu99gtYX2xB6bgv+/clrOKd9C377qOYYjARSrwRVVuEr9+GgP8xCuxjCA28GcNNehyIhiKiS0ziir3XExFm6W1vvMV8AN18m4v9+JWLBTAElIUARRGwOa5tNbz8zvNU+T7a2ALKs7VYfNNCNMmX4Wln3y/WQ+kZ+DY0UViJnqqq6vmbN0bJs4mMoCb1mcuv92/DWCe/gwxvWINnmjqgv5rbY0w/4FQU/3P4h/lv3Ev5b9xI23LkJ8aSKZ5eqGEjwO3/50hoBoK1TxddaMv7HYc/Ox4J/zwcAnNWxDfvGtXvlB+ud2WRlDdWmtWuzM1hqpMQJooD647VMmd4P3f3MD2XZShln/t9ylHcOAEERR799JELjgxjYNIDTzu3FNbfzeRZe/3sFcy5XCn5+ht6Dv/7b0RM+iaSK3n4g4AdqKoDyUiFr9Ozhl7SOkrsjJM4cUmxaIxMmhx56KG666aZB6Yf5RItVik1rVBTFGKD9yCOP4IorrsD111+P7373u1iyZAl+/vOfc7HNLBp27crdHzdX1IzBIkUAMH78+EFCxQpmsVHMMU499dRh3zM3COGRlmpHnAEwmresXbsW27fza1JgFr/mesRsLFmyBD6fDw899BA6OjpsX5d8bN++Hel0GvF4HO+//z7349th012b8cacJdj+SP6BPOnOTLS4cm4lZv1+pvb9rjS2PbgD6gi3WUu2Z+zxlflQPb960OtXtqzHlGRsWKtrt0h1ap/HVjmAAy9RccmvtPOxK1SKv0zUposeHOsYseLudGcmpbHK1FqbfUbXl2g76n0fWmsAZZUN+rLabzJQJWWu2cS75uG0g07GpyWVQErB8id3v2hysViJnF31WxX1Z6ho7nDv82TuRZUs0Gvr4RcUXHbwJvy37iV8/P216F3da3T/44ViuncUajShqirCf1mDZ9e+hqN7M2lxn/2/9fjZz/tw1o9VLPwTz5bxw3+/+XuJ1iTqpBTEUh9O3nQCqiPVqD28BhO+NB4+qPjh9o8AVcVmhy318z1aZVk1OtP6VAXVchoygB5/EAd/TcWUcxS89r6KqrnaZ75ntfN0ZivjGFY/2IwJae3GF//2bFTMKEfDFxoAAAuiG7DoOcfmANDm9n20CVi+Nv/7zOLsgIEeLNywCgt3fIQJKe2Zv+9XFSz/ZGSeZ+aoGbs356qF27BjREziDokzhxQbOWMi59Zbb8WvfvUrlJaW4owzzgAA/PnPf+Zmj9mZzpdGuH79evT29qKxsREXXnghHnjgAdxzzz248847cfTRR+Oss84CAMdOv1mc5XP0C4mzmpoaow4NKC7qV8ieYoREZWVl3td5NigB8kehmL3HHHPMsNecRBOH0tqaKX4uJM6uvfZaqKqKyy67DPX19ca64Yl5w6FQh83Fixfj0EMPxccff8zdDjOf/lJrU/XZ/1uf930JvS37v6dMx6H/XYCpl07BzF9romPdLZ9i7S2fumrnUJhYrD2iBidvOAFrrvscHrjqRLxRM9F4z6UtG/Htu0fmIcvs6VQD2NAELP4g89oH5VqEem5/J3q6RyZimurOiLPK0uGvb9IjZ+mN7u6i79IzqBrHAVWyZtMHkb0x7yLNOfuoVLtPbntpZFOtzFz1WwX7ze/Co7OWYeWVq/D+8iR2tfNbN1aiHvc/r3Vnm/4VFfGkO2vXHDkrFBl64sZtuKwls8NRc1g1AKB9cQd6OAl7sz3pAvasfKYLjSs1HyQpiHjny3OR2KcaUIEJD32MkCLjT884tylXf7Shkb2KuPa5L51WgkCV5kMJooC5f56DYF0AE9NxjE8n8Pjrzoau5xP4i1dlvq7WN0B6/EEourO/ow046bsquhq0z3zv6l7HWSLmH1cKbMw1v62Jwb+N3w//7G/Aj+5T8PTUvYESH+bH2nFQf1fBYxTCXDcWDuZ/L9sgq5aS+Mm2D3B4XxuO62nGz7Z+AFFVsbEJuODn/D57+Y5krjcDgERzEg+WfowfbV+Ng/q7sPw+ASdHtNd2jd4t0hEkzhxiNXI2adIk43vf+ta3AGiCTRAErF+f39ErBnNkKF/krKlJ25rdd999s77e2KgVv+/Y4WzbwSyG8tlTSJwBQFlZmfF1MSmJ2TCfH7PTD2QXRrnE2W9/+9usx7CDOVUvX9oeE2cVFRW49NJLB71mTkV0ilmcFTrPQ7uVvvLKK9xTD82puoXsOfvss7Fy5Up8/vOfB6Bd01tvvRW///3vudrEEKdk8eBNbPtMe+hvlkuwdquAne0q6i6Ygv1v0j532x/aAXnAeXcBKSbh/Us+wM6n8281pzq09d8ihPDpTgHX3KHiqWUi7pg0C1fvqzfhGejCex87f8iqsgolnX8tpLr0tvW+4Z5BeyCMbaEylCoyuqLdzu1R1YKppNHl2vWK+QMoKxn82j03CGjTa+GUDndrzjr0Tfr6KmB6qWbTfrOCxi7xigot1ar89e3oWzeyzUEURcWPj/oUX/zta7hr03JU7epD87Mt+Oz0t3Hh9/jln9ppCOKLp/HNeZ9h+WWr0LWcb12nlbTGfRMZ8b71stk4/PkFmHi21if+/Ys+KCol2oo96QK3kJ/8UntOtQbC+OY+h+PWzxpwI2YgLvpwQLwX1+5ax2XIdi4xNLSBSo2kzxCdEBr0fV9IRMUs7Zk7XT+Hb3wA2+SPnGW+rtNTGjv9oWHvO/vuEHzlPqQ60kbas13MEc5C0c6SmGZTS7AE/7cE+PUjwE+fDuGDA7SusUf2tjjuSNhiCrznW9OSpCKVBhb0tuKRT5egWk6jS79nT0kNYF6/poB2jpAQMrfRV1IKVl72AepX7MRRva24o3klZpUnjA6OJM7GKGbnNN+uSjZxdsIJJ2DixMyO9de+9jXH9hQrhpgzzzoPDqW2thahUAi9vb3o67O/S2y2J18kj9lTW1ub8z3mCKPdod/5ImfZImnmhiZmJkzQHrT33nuvYzFiroPLV+PFhGBpaSn++te/4vnnnzciVW1tbbj11lvxla98xbE95jlqhSJn2ebOrVy50tHvH4qVOkpmz86dO6GqKv7617/illtuwfe+9z1ce+21BSNvVlm1Lf8tdKBV35H1BXDoVSoaz1ZReRrQ/6W9UXVIFeQBGa2vOo96brpnM1r+24pVX/8w7/tYWuMLawOYeeng+1VTsBS9/gCq5DTGpROOunGpioolh7+Ft096N+/7jDRCf/YMBBYhSnziPNrw4TfX4OW9XkN8R/Y13R9X8fv7dCfNFxyWbnz9OQJu+a4mzoI9LouzXu3c11UKOG2mds2OOkpzhu65QcCaslq8XdEAUVGx9uZ1rtoylJ2b0zhy7RaE1Mx9JqnXB45f0eR4N59hJa3xsN5WPPDZUjyxbjHObd2C9v+04J1Tl2PLEw7z4kxYaQhSq4uPn02dh+uiEyAco+Cb/Qeg7OAqJHYm8NHdztPQrUTOKuKaPUsqJ2BXSNtQ2hyuwE+nHgwAODTWDlXNDPa1S65ZcEOFCBNnofHDxVDlLO2Zu6BE8zuczDzLJ856TPuq9ZK2qdAeCA9737rtAtZL2k7NwGZnash8HvJ1/FRVFdVJzaaOIYLx6U7tnjg9ETNGEtjFLFzyzSrr6QeCiozv7tJm4gaq/fjlIQvw6Dit0Ov0Dm09J1MYkS6Oj7+u/Y4Dkz14ceIr6I72QAyLCNYHoSQUbPvHdkzUEi9InI1VzI5wLsfxD3/4g+EUsmYSgCbs1q9fj4MOOggAsGzZMsvDrIdiVQzlEmeCIBh2Pf/881zsyedYb92qTQ+cOnVqzvfss88+OPfccwEUTm/LRb6as2zDnXNFzqqqqoyvX3rpJVu2MMznKF9jD2ZvaWkpgsEgvvjFL2LatGkAtHq+W265BU888QQ+/DC/g14IsxgvFKnK1rFy/vz5eOuttxzZYMZK5Gzvvfc2vp48efKguX333XefUUvJi1Q8/4NI6dY+g73+wZGhvzyrouELWm/iTg5zs7pXFrdZ0b6dicWMPffdKODvPxLw1p9ETDlCW+/7JXoH7apapX/jAPo3DqBvTR/kZO7NAhY5Y23rfT7gBxdqrz1yi4BTz9MKv1o/7MfiD5w99Jse3wmowM7/a876eldfxqnOtoMOALXTte+X9jsXZ33rYnj/kg+yRr7YIPC6KgD62INQvXbNrvsy8LfvC3hgwn6a3e91Q5GcR6s/3qxi4Z8U9MTyn+f2rZm//f2G8bh8v6Nwx2Rt3MkxPS3Y1cIncl5s5CyVVnFR60aMT2fuDd36enrzR5vw7FIVTy9RIcvO1o+VyNk4Zfg6emdHED9snwYAePnRHrz/KT978okzWVZRo6ftfe7IEI6aA/zkcuDMIwF5RjUSAT/qpBTq0gnMvFR1NCg51zUbKkRYpCo8YbgYqjxIE2eHBLTPxQ4He1f59L1ZnDF7hgohRnNAE2fro84inubzkE+cJVJAnX4vOvkLYXz7HGD137W/ZnNYuyfunegzNnHsMmC6jcXz3NLauoHZ/V2okNIQgwKOXXE03nmyBC9VN6Jf9GNBrB2HS5ov4FQwFkJVVTzyivb1jFdMTWX+8znMWzQHALDj0Z2oFrUPRazAM9qrkDhzSKGaqs2bNw9qZjF0N7asrAxr1qzBkUceCVmW8dprrzmyp9i0xkLiDACuuOIKAMBjjz1m255ixeKWLVsAwBAbuaiurgbgTuSsuXm405YrkmcWZ06jMebo04oVK3K+zyzOGHPnzgUweNyAU3vM4ixf5ExRlJzjBH7yk584ssGMFXFmfj1bM5s//OEPjlN1zQSFAjd+fTZOj29wZOgvzwI/WaI5IX0fO69fSncVl27TuUNPIzRFqi75AnD5qQKOnC2gbp4mzvZKxNDkIFO211RXI+eYYwYAbdt08eoL4HvnAzv+JeC2awR0/1fAhScLOOQ4ba1PSMXxq4cdRPJMWQ3B2uFRuhVrVXz+f1RDnHUFsjtpdRP9UAAEJRmqQ2c/esH7aPlvKz74+uphr7G0xrpKIKVHO4PjNJtEUcAZRwLNwVLsDJZAHpDRU6Q4z8fXfqPijkdVnPuT/H9Xty7w15RW44o35+L/FpViVVktenwBTEvGcPsp69HW7dwhKjZy1tOfcWTfqmzANfsegcv3PxoDog/jumP475VrcfaPFfyvw9GQViJn1SnNnmDD4HW0Ua9Z3CfRhzsfc5hxYfrxfOKssy/TifDMM0NY+kcRP79SxLO3iVj7iA+Nh+sbMvFedPYCXX323cJc12yo4KtnaY0Th3/OKvTIWVWbdt9vclDHmE/g95j2ROpZWmMwhPOO17636gEB992o/UEdekRtwxpnmzLFirNYj4JaKQUZAu76eRh33SBihr5v3ekPoccXQLkiYdc6Z2nE5usyUECcjdebk0w6fxKCtUHUVAhY/nQp3j1wGgDgnA5tg72DkzjLlYjWpT8uS+U0Glu7ARE4cd1xqD64CrVH1qBybiWSLUlMWKzZUyiq7FVInDnE7OxncxyXLFlifH3++efnPM6RRx4JAI4bGfCKnAEwGpYsXbrUdiGsWXjkE4vLly8HoEXH8sFEEe/I2be//W2ceeaZw97Pau+GYj4f5mioHczn6IQTTsj5PjbnyxzNO/bYYwEAb7/9tvG9fF0xi6HYyFlPT49h+4IFC7B2babd02hFzrLV3t1yyy2DrvULL/Ab9BMU838uAv2ZQvOfXymg+RnBKLx+pU3bAY195rxucXNbcZ5sf7Pu6NcFMXtvYPl9AkpCmZ8NVGs1tGFFKdi9Kx/mFu9Sf24vpNMUybvjmwIm1AkQBAFV5ZpNJbqQCisydjoQi6m23PfCbS0qPneNirVbgXHp7KlEjPoqASlBe2wqeSKCxRDfrv2uxI7ha5p1kauvyqSiBusyonJctdZmf3m5Fn1te9V5zelnq5N48LOlaPhv/rEvfTs1e8Ljg5jcIOCoOQKuviCA26Zou9Yn7diK7/y6QDvDIsiVIjeUrk4FVXqnvdn3zUXdQWVIiz78cdKBkCHgS53bcWC8By+8NzKRMzmpoFJKQ4KA958MQV0iYtfT2npuC4TR49NShwPdzhxrc5JFPge0J5YRr+GJwyNVVfO0Z+q+cc2rbu227xbmagiSM3KWxZ7y/cogBAT42wYQliW0OkgsyJ/WaHqG62mNt3wvjCd+LkJeLGDuvgKuPlPA3pOAbj3TIN99pBiKTWvs1e8N3aEQRL92PYIBARseFfDUrSLiE7Vnx7blzupNzVUJ+dIaW7syArakMXPNpk0UcOs/tVKdvfp6AVU1ov5OyeVysg6e7F5dvm8ZQmzjyi9i5m1aw626xVvhU5WCzXu8Cokzh5id/WxRBrZ7f+mll+LBBx/MeZySEi1s7nReFa+aM0BLMayoqEBnZ6ftAcDFiMX29nZEo1GUlpbixBNPzHu88nLtpmS3EUe2hiArV67EPffcM0zUjB8/HqFQdictEokYX2eru7LC0Gue63isc6Y59XPatGnDOobyFGf5ImcsajZ9+nS8++67mDFjBp57Tuvvm06nIQgCvvrVrzqugbMizlha8FNPPYXFixdDVVX84he/QElJCe6++24AzoWjWZgHkPtvk5MKAikZaUHAo78J4CeXCxhfqz1gTzhE2wFNCSJS7SlIeaJLhZAkFTs6i7uVy3qa5ecWBPDhP0TMP3Cw9+ILa95VSJXxhoM0QrNwyfe3JXdp13PGIaGsIyV8+nDaoCIbReB2GCQWTV8PJFTsdZ7+d6oq9olra5/NMxtKXRUg6eJMSjhv5AIA/orhTaWYOBtXqWpRUQEI1mZSUQVBwNI/CviktBoA8Nb/OfeIzu7YinopiYvaNuV9X3+z9lxRKzP2/P5bIq74QR0+LamECGD72863z0UROK1zO87oyD9JuKtJW9MDoSC++vnM5+DNqol4rVqr6Z4x0I2p453ZM6hbYx5x1rddu2d2BkIIl2hrekKdgB9dDPzkCgGJKdraCm93FjEvtiFITz9Qrzuy4UlZxNnB2mbf/gntmrX1uBA5G2Ifq/EKZYmciUERpdNKIahatMZJJMZsjiyreO5tFe16VLfbpGuYWGzYV/PDRNMf8s6fBfTomQYsTd0u5kd9Plevb6t2fnpKBl+vfRoFnH2sgIq9tYyCtvXO0iyLjZzt6jCtocbBNoUbw/BX+lGaTKNGSuVNjyyEuV4114bDH/9Pe8+XD9DtmTzYntoFNSiZWgIxIWNScoAiZ2OVQmmNf/nLXwBo6Wfm+VhDYV0fnYoznmmNgiDggAMOAJBJO7RKMWKRtYGfMmXKoJS9bDg9T9nSGnO1f88VNQM0kXjSSSc5soUxVIzlElfbtmlOilmcCYIwrGOi07rFYsVZtjV0+umnD3rPY489ZnS2tIt5TecTZ+l0GqlUCqIo4stf/rIRVWSw6LQ5ymgH1VTwHFJye0XJZn330xdEeWnmYd84TsC1XxKgCgJa9HSZmINCc0kGZJOwyRflFntZFCb7poOvVBdniozFH9gfMG7u0ijniZzJbbnTmwBANMSigu6YA3tS2cWieVe+XkqiRk6h1xfAE38Z0qpRJxgQkNZzpaQ4n9oqX9nwcEObrrVq5BSgaqmYgm+w5zttooBTL9Ic/WCT846NdeniIjlJvcmNWDO4jvK844BPS7QozIT23oK1a4UISDKu27UO1zZ/Ouj6DaVnh2ZPvFSz51tna+fphEOAz8r1qFCiD/0OGyTKMnBGxzbcs/EdJDtyO+mdm7U13RMavOHw/67W0gmn6XWdlc0cxVmeR1B3T6bmbGh3RAComqPZc6CqraHWrhzhryIotuasQckdOQOA0HjtWtZIKSPF16k9f/0PcOaPVBz7bW1dmtMapwWYeB1+fhpqBJx9hv79HofirMi0xrgeTe8ty35+6vfT7k8s+m6XQeIsz6FWrlfRoKc1lkwefG8UBAEVep3g9GSfIzFktidbdLqzV8U/9MSXsw9MZLUHACpmapv405IxipyNVfKlNTY3NxsO9bhx4/Ieh5c445nWCGS6FdptXV+MPSwql69TI4NFieyeJ7Oj39vbixtuuCHnLLdC6YosisdbnOWyh40/GCoaH3/8cQiCYIwayNfxsRiKTWtkkbOha2j16sE1NC+/7KzYo9jUWBYJLSsryxqFmTNHS7vauHGjo3k15ohJOI84Yw/O1mAJhj5jv3w0cMUXgS49fe7TNfYf+rIyeIdYSWR3ZFVVNboMhrI4IQAglmiPhJAqozs2fMe7WHpNc8nSvbnXo69TT02ZnN0J8ZnskeX8DkQ+lFTmekuxzB+V0E+7X1HwJT1CsyFcgWPm5X40MnGW5CTOpCHdzWRZNYrqS2IswpD9/Hzz65pjUpVKOR5oXqoUdx9L62MEQkPqqSY3CPjmDzQxtH+8x1HNIgCUdWc2LBJ5xFD/Ts2eZLlmz5WnASv/JuCF2wXc8btMyl6nw9JOSQaubf4UeydikF/KPXy+V4969JVmv2aVB2nPjcpOZ+nMkqxFlA/rbc07jmPz2iR8UDFQEoQYHL6uWTQtHE9BVFW0Ooic+QUVF7duwMz+wWFus9MdUGSUpdIQfAJC47IP12JpatVSylGanCBoG01hWcJ/39E+H59s0V5jDUGeullBVX8CEIdHhQx76jW/Q4zxa6VfjDjrL89uz+SDtO8L7QlH3VGVQZGz3MdZvQFGw52SKVmauDAxlIg5E2cFUofZZto+jUC97puUTM0mznSx6NCe0YTEmUPyRc7Wrcu0OM42ONiMG+LMaeSMh13F2GNFnPG0J51OG6lujJNPPtn4utCQajeuGZC9AyKQ6SY5VDSeeeaZaGlpwY9//GMAzsWZOWW0mMjZUHvmzJmD7u5uQ5Tl2yQoBrM4yycWmd1MNA/F7/cbUUYn16y1LfMQ8+fJJ2It29sCYQz10/x+AQ/8UER5tXYL7nUwZFmSAb+prXkuR03qleBPyxgQfSirzT6f0VeinZ+wnq6Zz4HIx92PZX4w3p39IKmOFAL9aQyIPpQXETkDBqciWWFQ5GxQWqP2/yta1uNsvaCdRX9ywdIakzH71yxhcoQ6OwYfp0Mr3UBtJSDpUapckcXKahE9vgB8UJFosZ9PpKoq0oI46N8539ul2VQ+cbhjPf24agDA/vFe9DospSztzNx7+lpz39PiLZo9sp5mKQgCDt5fQDAgYMYxFYBfwOTUAPraHG6iFTmjKqZvygyUZ79mVVP1jp9O8r90G65q/hS3bF+NSc/kHqfw2z9q9nTmaHIjBkUEagMQFRVVUgptDmrODm9vxlfbNuP2LVEAQHefto7M9xFW/xaaEBoWDWaEGrRrWS2l0NlXeGBzLkSouH/9W3jos6UQhow1ZuKsYkcPVElF5awK+Muy3xfLqvRoYtJhCYMMQFURUOS899a0nu4dr8wuzqona+enIpXiFqnKt/HV0alokXUBCDcOF0Nl+2obwxNTztIICzXdYSmu9VXAwFa9Qdpe+SJnfQWb93gVEmcOyRc527BhAwDgoosuwl577ZX3OCwi5NSxLpTWKEkSLr30UiM64wVxxsSIFXFm9zzl+rn169fj3XffxcMPP2x8r5A9Tm1hDI2c5Wp2wr5v7hTJGDdunFEf59SeQk1uGPkEflVVlRF15Xl+ihFn5mHlQwkGg45t2mlqFZ5PnLGOhTuDpcMiZwxFL/aWc0S7ikGSgYBJnOVqwMF2Yzv8IVSUZXeKDHGmascoNNw2F+bUz3jP4HtHIqnilBsV/O8iLZSxNVSOslz2sJoz3R674qzPJBCTJnviKcCnKjirM1PX9GGBLAdJ71SRdhA5e/cT0z+GDOo26s2qgbhev5Qr/UsUBXQFtc999zb7zr4kD3YG8qWi+vTU2KrG4eKsbJ9SJIJ+1EtJdG93Jj78A5lNnVgecZZq1WvgqrPXL4l7a/ehyhZn6d7mrqOSnLvTRLxJsyeRw7Gu20uzszyRchbBl4EvdmkRvInLs0fymjtUo5GDWptdnAGZdMcaKYm2bvtpjePjmQ3NWx9UUXOaiv8sG9yef3pC+xCX7Z27hIHVV9aoKchy4e6YuQilJNRIKZQpEkpjg9cjS2sMbejWftf86pzHqajRzomYJ722GCQZ+HrLZ3hs3WLEt+Xe/E1v1O6Niboc6dV12vmpkkdGnAkdSfgABMeH4AsNlw0lUzQ7x6UTtp8ZQ+1hkbM1m1Qc8jUF19yu4KEX2fxHIL5VuzdmE2flulgcn4pTWuNYRFGUQc0OhkYZ1q9fDwBG3VY+Riqt8emnnzYEiDkVLhdMNNptelHInng8brTqH4m0xmw/d9VVV2HffffFggULMH78eCxbtgwnn3wy7r333rzH4nXNhp7bbPPWJElCLBbT8rtzDMbmJfDN9uSKnPX39+PGG28EkFvgj6Q9zCYgvzhjNjmJ5vWYolwBWcmZTsY66K0qq0VZ9mcsVL/z+iVZGSzOckXOuqPdAIBN4QpU5PCLDHGm39fsPvgD5vvikMjZI68ALy0Hnv1fXZyFy1Ge4/wwe4KyAqiqbXG2fmvGnvZdgyNnBwxk8qb+d/oB+NOfq/MeS9LTGlMOrlnSlGYZVAcf56k3tf+Pqwba39Q2rljThmzE9Q2Hnmb7n7OhAj/dk/tYzMmt33u4+BAEAbEq7WLGtjqrh4FJ4MfactujtGu/R6zLniIX2FfbRa/qcjZAWDU1g1DzpOqmdmi/R8oiFgGgbBITQinbkWlgcDRK9md35V5arjmoAHDw4blr3pmzXymnHaU1mlvs/fRvmoEL/6QOsnXGQDcAoOZz1TkPw+owS/QIvl2Hv8zU5aKyb/Czg0XOlFVa5k7NgpqcxwlXaPb4nFwwaNfsyx3bEFYVdD+8Nft7+iUI63shA/AdVJ31PUF95mGllHYmhmSgQkrhnPYtkDuzPxMTSRUVMe3clWURQgBQoqelN6QTjsSikkWcPfySig/WA4ue0/4DgBfeVTGwRa+B22v4w4yJxYZ0AukRGIrtBiTOHDDUKX/++efxu9/9zujQyCJn++67b8FjjVRDEHOnOlVVs9bmZLPLroM9NHK2fv16PPjgg8aO4SWXXGIMcZ40aVLB4zk9T9n+jqGi8PDDD8fLL7+MKVOm5D2WU6HIGPrz2SJnrMlHZWUlxBxV1yMphm6//Xbj61y1eW7Yk69LJ+vqWIw4c2KTNCQ3P5sYim3o14Yw+/xYW1qVM3LGxFm+Qc0F7ZEBv8kpyjVXjA27/risBhU5xVCmxosd2w4BIfP3JHuHRIZjmoN2TfOnAIDNofKc50fwCRACAgRof6PdmrMdTdkblAwkgEP6NQH0bO0U/L/n9sKRs/PfE2UjcmbfK5JN4syXko374Yq1Kn76gPb1hFLZEGcNn2/IeSxFryPq73UYfVXM4iz7GlLSCsoTSSgAJu6XXXykK7Xvx3c5i5wJJq8znkeciW3aoghMyr7jEGjQFldJvnZ0RWBOjVVzNIZQZRX4pBsAEJuaPT02UK31eC1TJEd1i4PEmWnuwNLVKl5arq2h99aqOCCubT5M+Fxugc/EUFiRkUgVOWAuC+WmTS/WhCQWB078Tma9HxfW7KnOJ85KmTjT/ki7kbOyWOaGUWESZ8mUil0dwH7xHgy81wmIwLgTc2cRhcq18+t32Jl5UGpsjuh01/JuCIqKjeFKTN5r+ExGYHDkLOVAfMgKcE3zp7iyZT3m//vDrO/p6M0IfCZ6hsJqYmulJJdI3sTkAHwJCUtXq/jto8Pf970vSpD6JPjKfINGjDD8VX6gxIdSRYYwsHuGzrIn2A4hEon8BsARALYAuDIajaZNr10A4GpoQu9H0Wj0HRfs9CRDner77rsPAHDjjTeitbV1VMTZUDH06KOP4oMPPsCPf/xjVFZWWp7xxOziFTnbf//9AWgi48tf/jKeeuop43VzF8JC9vAQiww2xsAqbkXOsokzNnSbDeHOhhtiKFca4ebNm42v3Y6cmaPT+ebbWYmcObFJSSmDWzQPyPCXZ26l8aYElizQNkGi5fVQBBElOTKK1ABry64AsJdONLTmLFtao6qqhjhbU1qNquxleUakitV42X3Qji9XAL10MtU7+CCplIrfbc4MW98UrsgZWQS09v5SWkJIlZGW7J2jzk4FLFlR6TfdI9f14vROLcV7ZXndsNrAbGTEmZOmMorx8BVVFXK/tobe/0z7nqCqOOndtVASCqoOrszaZc9AX0PxXvuOY1oaHMFLd2UXH/GdCYgA2v0hjG/Ivkkk6xEjlm5oF0HKnN9Ep5RzMzHQoTmOlXvnSAHT65dK485qX83jIYS+7Mfq/agXQr+E5kAJfBOz2yMIApKiDyWKjESfgvIK+59745gmr/+Yb2nnre9FYEeLinONSFXuyJC5S2tMsi/OQqZnR42UQkcgjO6YJtAAoMYvoaGtB4oI1ESqc9uj34dKWHq1zftQiemal5rEefgkFUFFxh82afNV64+tQ6A6uxACgGC5Zk9AcpjWmDBvEmX/o9pe0bpXf1hWg89PyH4cX4kPaUFEQFWQGlCAWntxFlkB5sW0yOHEpuyzStq6gQN1gV9xYPYHR7AmABVAhSyh3cFGo6wAjcl+LNqwTGvM9K3Dsr7vO/Nj+BBaGnW2e4IgCBDqQlB3DCDUlwSQ5/7pUQpe0UgkMhdAYzQaPRrAOgDnml6bBOBLAE6MRqPHjSVhBuR3ymfPno1PP9V2hqdNm1bwWG6Is40bN+LCCy/E7bffjvnz5+Odd94xUi2LhWfNmTkK89FHHw1L3ysUqQKcR6uyicxC7ftz4VZDkPXr1xvnKhaLIRKJYO+99waQvd6MwSNlDygucsZqt4CRTWvMlvLJYAI2V9onwKfmTBpSHzY0crbprsycqGWVDSgND56bM9gg7aHvZKCxPCTqMdQeJaXgzflLkdiZQMzvx7ZQOepybKIzJy0oO3OKRJNjneobbE9g0+D2axtLKnNGzoBMB8mgoti2RzVHPQZkpHvTePfiD1D+w3dRIUvYGirDyvJ6VBZxK5A51JxJQ663pAtYNqD8vPYtmPKxNlKj4ZTcUTMAUPU1FHfQoESSM3V9AJDoyn6idyzpBgA0l5YhFMy+pgW9xb7cyS9y9vqSFCafo2Jn+2BBnO5Jo7JnADKA+v1ziTO9xsthAw7VdM3Evuz3j7bXtFTmD8tq8q6llN6YKJmntq8QZnEWkBQoSmaGF6A51e3r46iXkhAqAyjfP/emFfvchxXZUZqc3yQSq0yRM0ATfv+7+g0oKRU1keq8YsiInOndcO3WDQmmek7/EEF9WF+b8fX+P8q/gR4q0z7zAVl2VCdojrgqWdIIO9/rwpb7tPrXtyvHY0KeSo+Ufh9KOfjcywrQ589ch0RSHfT33fm4ioO/pmKuLuDqjsmeJSP4BKRL9FlweVKiC9ojA7P1Tp/7Jvogqtn/toH39CZyR+Q+QWzUR6DfmT80WhQjt48AwHphvwjgSNNrpwBIAnglEok8HIlEcuzH7pnkc8pbWlqQTCYRDAYLNt0A3ElrfOaZZ4yv169fbwgz5qB+5StfKdouHpEz8/yu7du34zvf+Y7x75kzZ2LevHlF28NTnF177bW2juVW5Oy5555DaWkp1qxZg4qKCrz//vvDfmc2RjJyZh58PZJpjV1dXdi4ceOwwda9vb343ve+ByC/yOchYM0paQAQW9+P9sUdaHp8J1RVRftiLWQklPjwbsU4jM+9YW1Ezpw2BDGnNQ4d+ty+pAMDmzUPaXuwDKogoDaHOBP1BhxsfpvdtEbRdH0kfYdY0XedKz5sNV77d+0UJEVfXnFmHozNo0GJv2UASw5/G50vZOy4b8IBUAQB4VDhqIHiY3WCDtIahwi7dE8aHUs74P+kE9VSEpe1bjBem3Lx5LzHMtaQwxS5QXWCHdk/s80vaA7thkm5n2liiXaPUh0O6TYL/LYdEna2A795ZPBnr+WFVvgUFWvKajBxSvZ7Y1hvg17qsG2bOa3RFxt+/9hy31Z89v+06/ZexbicdZ2AaRxDnzNxljB12PzSQhnjzsycn/3Pl3H1Mu3ZUXlYDYRcG0QA/EycqTLSDiJnftMaqpIHn6OLpB3G15Mvyj1DFDBF8hxGzszijI1cYBzXo/kjM//fDFQfWp33OMGwiLQgQMTgsRxWUU33DLl9sD2KpOCDK7UxNO3+ED4rqUR9nsaxaSbwYw7uQzJgzgNpPEvGVb/N/H3/c6+KCakBTEzHkQr5UTU3d2psukzzK/PVYxa0RwF8pmdZY1Kr39ynEfjhRZn3sWds/bG5xx35dHEWGtg92zUWk9ZYA4B51T0AzFJ1PIB6ACcD+AaA6wH82vzDkUjkamhpj7j++usHtSrf3WHd6vIxfvx4owYtH6ymqK+vz5hnZQfzjKqhfPihllN89dVX48wzz8Tee+9d8HcxJzaRSNiyi7XJBwbPu/rb3/5mfD1jxgy8/PLL6O7uzpu2BmTOU29vry17Wls1h2zixIk488wzcfHFF6O3t9fW4GYmXDo6OpBOp21ft1zibvbs2cO+19/fn/P3sGtv99wwzLWKHR0daGpqwsqVKzF16lRjo8E8ZiAej2f9fezzkUwmua3pzz77zEgTPvnkk/HAAw9AEATccMMNxuesqqoq5+9jKRA7duywHTHt6UjDrCWiF6w0vl593UcAAF+1D9t+Mw/K3SKmj0+gKUfKSBratY/39COdFm2dp6Zd/kHNHHZu6YS6VYHg1/7W7U9kjvm38fujokRBW2tL1mOxqFtAF8Q7draiRLDuGYkmVae8tBNvfzWG3jf7UHFEOaa8qV3PW6fMxTuVWlQo1tuMpqbs4kLxa98PKgqaWzvR1GS98CwRGxwBTjYnkRJE3DplLlaV10IWRPzte51oaiocXZF0f7ijtTunzYXobBVgjmMsPWoZAO3h+oj+vfje5Tj0/snokNuBPMtCEvWhuh19SKdLba2hHW2+QWtox4YurHwphAUHpuDXs+6kHgmx11sgANi2V+7PWErVnhmpmLPPvWIadFQha183tQ6gqUmLvEpdEj77hSaG3q4cjzOTu9DUNNxx7tPv035JdmRPvyma6IulBh1LHpDxyU2Zdvbvl9fh81Ivmpqy18imdYG/c2sbQuO7bdmzqzmIcpMj+86yFBDI3JnOb9+MBn02VeXxwbx/+4Cs3c9DenTa7nkyR86qpcHi7PBm7ZiVx1ZAODb/74jpKeohWTvn25taEYb1+5BkSmVsSCewT7wX57Rvwdz+TlTLac0DPkwt+Pd2dohICj4EVAk7Nu2Av9JeKmpvR0YIKe0J7NixA4IgQFVV9LzWi2SzZu8tex0CCAKkeO77onkNVU20Z097ZwnGm+YbCt0p3P98GJef1AxVBUS1Hj/ZtgoA0Ll/NXY25/ZlkyUiygD07+xCOq3Ye5a1+VArDb5mf74jgXn7pDGQEPDBp9U4aUIPun/TAyEoIDEtu+8BAOmw9gzyxXK/Z7QZOrPWTDHirBsAk8tVADqHvPZGNBpVI5HIawBuHvrD0Wh0EYBF+j93z7YpDth7773zXgDG+PHjAWiRkWLenwtzRGMod955JwDgkEMOKVokm9Po7NhVqBskoNXqFXtsdp4CgYAte1jN1mGHHYa//OUvln8+27HKysps2wNYj0rm+j0TJmgJ6k7XkDmHWxRFLF++HGeffTYALR118uTJg9ILDz30UGN+mBkWoZVl2ZE9bETAUF555RUkk0n4/f5BtYuzZs3K+fuYIKutrbVtU1mo8KbMpDMmYHWqDoCKufuHc/6uYLnmPAWFoO011JVU0WlyrNt+3YTuRa1Id6ex3/f3QexNzdGZ8vDnsO7XVZhenXsNqbKKNViLkKJ1R6yta0Bjo/WddL+6a9C/e17WN1Xe0IRZmz+E9yoy0Zd9pk1AbWX237O5YhuSSCKoyqioqLVlT0jcMux7P5gWwWel2v3tt98Q8LWzCmc4AACC2iOwLFBuew1VlBSeiLzg9wdh8pzqgu/zhbVjhcWw7TWUgIqgutb498q3ffifxbWYUZ3G438IYXoqhqVHL4MALfpasW81GhuzpxSV1Wg1fAHV5+xZhsw9hjn6klqKxsZypHvTeGXO68brayaPx0EHZA+/Knv1ogMbEFAUR/aUBDIbGsG4BHl9KRLLO+Av90MypXK9ceF8pFf7MHliFRobq7MeS/JrnfoqwtU531OIqs0yzC4Vq/ECtDrG0/RaSgCYedmBWVugM+INCbSiXU9rFGyfp4CSiY59tW0TZg10YU5/l5GeGKj24/BHD8trCwD0tPdiIzYjpItPu/ehIDJlHAfGe3D3pvcGvX7ATfth2txpBY/jL1GxTlyHcgUYX92Qc7RFIUoD3cbXQlpFx21d6HizA4nmpHEpF03YH9vCWhLaQQdMQMCf/e+W/FsAAFUl1WhszB3RykdlpTooYl6fTqAjEMbldzRgYxNwSesG7JXUnh/zv7UXGhtz3yOFsmYAfSgRwggE0rbWUFJQUS1lnq/16QROOmyKkUL9zMIEXp+lBRkmnjkBU/fP3adgc2M/etGB8rSzz/1oUYw4WwbgewAeAvAFAG+bXnsbwEL963kANmEMkS3i8YMf/ABXXnml0T7/qKOOKupYbqQ15uKUU04p+ng8a86y8eKLLxYc0M3THiaEsokJq7iV1jiUV155Bc888wzuvfde3HTTTTnfxyuN0Pz3dHZ2GsIMGB7Ne/LJJ3OeSzfSGody00034Yknnhj0PdZ0Jp9NjtIa9RS5raEy48F1+IsLsOF3G9H2SjvK9ivDvgv3xc6ntPc11ud2KgQ9JU1xMD9Ha4M+pBanUzvn63+9EQBQOq0E3Y2aEGnIk2Yp+ASIIRFKUkFAVSBJxWS+D8cnD9+Hm33XQfjoho8BAA+P3xeKIOKwg4CvnijkFGZAZtZZSFEcpDVq5zdaXoc1pTV4q3I8doUykdN8qafDjsXGHzipE9R/dkuoHM3BEjRO9uHSl2dj1rG9uKr5M9R9oQFfPKq6OHv0mjOnqbFBk5M2Y/V2/NPXjCo5jX+dOA7HVmbE5BvVE/KeL79eI+h0YK85rXFefyd+vG0VZvyzHx/21WDlDh9YJd7bFQ2Ysm/2NvoAEGLNHBx22lOG/D1rzlk+7D3Tb5uJP22sBoC8NWeSHo5MOUhJS8UVmP/qb+xah5hPeyYJAKrlNEqnl+DYFUcX7MrMujWGFNl+Xac+XJlRqshY0Dd4I2vfhfsUFGaAKa1RdtatUcjSwOOV6klIHTEBP7tSQP1xudPizAQDQErQP2cO0pmHfiaaHhsciYpPLMdLVZqQmD4ROYUZkFlDaQd1i4oyuBHQ7P4uhFQF9R8nEA6U4Ex9/uNnJZU49awC5yqk2eMknVmWMzM2AWByqn9QbeuGOzMSY6+v528gF6jUPgv+3XTQWUFxFo1GV0UikZZIJLIUwDYAd0Qikfui0eg10Wj0w0gksj0SiSyGVnt2Ud6D7WEwJ3bq1Kn43Oc+h97eXtx8880oKyvD7Nmz0dLSgiuuuKKoY7nVXGIo3/jGNzBx4sSij8ez5mwoAwMDljslOnX43RBnbooPURRx0kkn4fjjj8cNN9yQt/OnG2Lo1Vdfzfte1qhkJOw58MADsXbt2kGvDRVmQHHizIlNsu40tgZK8OCUA/DcbQJq5ldj/mOHItmeQrfqw9tbRTz6mva+iXmeaYLuqKhOxJmkwjckKaHmsGp0vdtt/Dt26Qx07BQAqJiWowMYw1eiiTMnYsinO/rP1U7ByRU9ePngA/Cnj6rx2IoaXP3dfrzWqZ2Ue78j4JAD8juOol5zFlQV204aG/S8MVyBJ8dNH/ZyMV0aGcb4g4SDFta6kEqKIn45dR4A4NpTAJRU4kfTI7j/yxaiBPoaUhw4RWlp8JwzAKjSUwkP62tDUtdmj9ZPx1N103BLTR4xXao73w4H9opDCh6P0Bs47PjngCHM3quox92TZuKMPD1Twnob9IDizB62gZIQRIT1c/VG1QScOzeFjiWdWFFej8d2TsQrUUAQgM8dmPtYhmM9YN+m1MBgcTYj3jPsPZMvnFxQmAGDG4LkG7Cd1550ZpNoQ7gC0xN9mHbVVEy/Ygq6P9Bsa/xK4XE5mj16EyCnjYn0z/3TdVMRVmT8p3YKXn+mEhPqgJIi6ksZQT+QFJk4s3/N2BpqDYRRKydRvlcJfpWajvcqxmF2fxdWl9Ui4fPjS0cBD96U3z5Jvw85EWeyMrgR0BWmWlfGwIxafPGxCARffntUfaSHJs7srSFZGbxJdHbHNqy6Jo2e1b0QfAJi67RxOYe/uCDv0HAACOgbDn4nHW5GkaJa6Uej0YVDvnWN6bXcW/l7OEx4hMNhPPnkk4Nei0ajAAZ3tcuHW5Gzo446yphtdtZZZ+FPf/qTpeM5dWZz/T2BQMBWC/s9MXJm/nmfz4dYLIYnnngCS5YsMZqV+Hw+7LfffnmP42ak6vjjj8cbb7wx7PszZ8503R7W/MPsZPzrX//CJZdcYnSTPPHEE/Haa6/hnHPOybuueNik6uJMFgS8F6rD6koBv1uo4IRDBFx+agATzlRhTjfKK86Czh1ZSS9QTwsCfrLXIbjt0A7M/u0+qDhDwOe7mzAg+vHWU/WGTYXEmSaGWOt6ezYJupO2uGoC2k6doQ1WXg9EmkrwaVcJIAB3fbuwMANMs9cc7OpDv2aSMHzXft9G4JTPFX+ozGw6BzvW+vVOZ7EHAL5UXMKFhr6GnHT8TEuqIc6erpuKMzu24+GGfbChpBI/3fYBAqqKuyceiJdqteYkJ0dyHyugt0E3N2OwA2ulv6K8DvNjHVhVVot3Ksbh3PYtGCclsaqsFr+YMg8QhJzdR4FM5CyoKEXN9swF69a4tGoCOvwhrCmrwQfldbj0DuDsC/uxK1gK9XXt2OccC0yflPv3sKHRUo6B8cXABtf3+AJICyLKFAmP1U/HpWf5UfbiVtQdXo29vz2tqGNlRmjItjsjJlJAQHf0N3x1Fk74ahCzDtV2PcoPsNYrbmjXWLs2ibpjvjNYiv/WTsF5x+e/LrkIBrSNFABQHETO2AbKpnAFfjPzc5gwLYDFa7TjvluZ2WGQFaCqvMC8RV3gO1lDsqQagrrLF0SNnEJwXBCJKRUQV3ciWBvAUfcdgMophc+ZwCJnSRlFSovh9gwRiwCw81+DU+QnnDG+oDADMuMPRIf3odHC3hkkAGSc6mwd9IoVZQy3Imfl5Zmb4rnnnjv07UXbZTdyNtQJ3rRpE/7xj3/gq1/9qq3j7WnibGjXQVVVEQ6Hcemll+LSSy+1dCy3xFlJSQkef/xxNDQM3p7+/ve/j3A4d8jBPPbAiVPE7IlEIvjkk08AAOeccw7efPNN3HPPPWhoaMArr7wCAAV/B49W+iytUdZ3B8/6sYr+OPDieyq+/+fh7z9oeKDGgEWFkHLgpKUy9nxYVotn9qvF168AIAAv1wzv9HfYQQVSnEwzj+x3a8wI2KfezHz/022Zr796UnHH8pkiZ7bFmZyxBwDOOALY0Qb84EIB559QeN2YYd0RnYgh1vFtqFg8dQFw73cF1FUVb4/AQ5wlVYgAZAB/m3AAHhi/HxTdtoXT56NEkfFhmVZjVlMBHD4rt30BXUyLDnesffrie752ChZNOAA7g6WAIOCtqvGYOdCN5eXjtBAVgKo8pc2sE2FQ32wI5i7LzguLbidEHx4en8lgmHMFgNBgA46eU8CxDrCUNAebMnr0VQr48J1pn8N3zwWe+E5YW8u37WXpWIMiZza7NSZSmajHb74bQEmjvboszR7t2RpwGDljaY0pfS1fd5a9v83vA5KCczGkJDL2rIuFsG5N9vcdXuAeDWTWkOQkkqeLxbRPRPtPF+CMkxRU7F+mzeJrScJf4TfWRkHYs8ypONPX0JTLJmNgSxw1kSrUHF6D5K4kpD4JUy7L372WUVGjbxIlZUf+x2hB4swB+cSZVXhHzu6//34899xz+O1vf2ukeeVqrOCmXay259RTT8WNN96I6dOn4+c//7mtYwHeSmt0OnMt289+/etfd2wPrzlnv/nNb/CjH/0I999/P8aNG4f/+Z//wX333YePPvqoqNl9giDA5/NBlmVIkpS3WU0x9nz5y1/GCSecgMMO0wZT3nXXXTjqqKMwZcqUom+8PM6Rou/oK/rv7M8+Cg6P/lTASYcC9dW5bRM5RM5Ya39mz1+fy/6+v31fwEkRYK8JBcQZi1Q5EEOiOljAZqM29zi6wccKszlnDmYw6U4asycyQ8C/f23zYc1a1yftpzUq+m5ubY2AR38qYGoDsHmXJlhzzsTLgThox9oehsDXnVhFEOH3abVo60sG9/N++Ob89gXKfFAAiA4H9oq6oD4mIuJ3n2bET7c/hGWV4we9N5nncSCGRCjQUu5SSRXBgM3IWTp/tNPM5HH5X1cC/CJnwTIf1v0njNoKa5sMZljNGWsIYseZTaQy9UtsTdpFDAqACPgUFT5VQSpt73hsDbLRBaU2ZxELgmB0R3RSJ8g2UFJi7jV0/vHA984vfCyZ3YccrCEjnT4o4oZvDi6SDI23drKEMBNDzmZ2sjU0+YJJeQenFyJcmak1HUgAZdYTtUYVe9XeBICMQOApzpxGPZjTOWfOHDz99NODUuGsRvPMdtkVIKwt+2mnnYYTTjjB1jF42uO1yBm7XqIo4r///S/uuusu28fiHTm76qqrkEgkjCjn7bffjp6enqKEGU+bzNfssssuM5rtCIKA888/H4cffviI2sNmZskm58XcZOMbZwHKmwIuOFHIK8yATLMLOHBkM4519t/1/G8ESG8I+NrpQkFhBphSnBykEZojZwBw29UCvnNe5vW37hXgK1DDYNhjzDmzX3OmyoMjVfnmBxU8FoucOajxYgK/tFRbJ0fMFnDR5wXLwgzIiFfVgVOUbQ0degCQfl3Amfpk0/G1wK6nBZx2eIHodCmfyJmot2Wfe0BhN6U3e8d6ALpjrTvDCQeONdtAmdIoYt9G4M//k/s87FUgdVhhTVyciDM9CqP4RTTUCPDnaR5RCPaZL1HtzzfU0ho1m4pp+pEPQRCMiKej+5AuqL98gg83XwrMz1MHWAiJw+Bw1lRGyiPObji3yHmLAedriN0z2LGcwO5DTrJAzGmNRlaJTdiaDqsyugo3x/UcFDlzAHPK7UYEzPCKnDExlC1KVlNjfReCV+TMjjDMhtNoFfs5r4gzdr2qqqpw6qmnOrKHR8oeMFgMmde2IAiWd1MDgQASiQQ3ceYUHuKMOdbmqNALvxXw4IsqEingjuuKP0+GOHNSc5YeHBUy8/n5wBcLONPDbDKJM9tpjergaN7CrwI+n4jff8vGsUpMkTNJha1i8yFpjfs66KxspBE6uGYKG4pdpEDNBw+nKK1HAVWTOJzSAPj9Ap69zZqNwTIfEgB8DiNngn7NDtpf+/v2nwIcuBdw+hECJtQCZ/wwE7m89kv5bUyLPoQUBYk+BSggnHLBImcH7Sdi/SI98iUBj7yq4v4fCDjoUs2e278hIDIjvz2GY+2gwybr+MlqIJ0wdOhzKg0ELHqH8WQmJc1Ykw4QS31ATHbWmEgX+EfPF3HIhc5sShsdNu1fMxapYs0qGMcfDLzxgfZ1sREe1oDDyRpSOa4hJqYEp+JMX0M+h2sok56voKsPmJynaZAXIXHmAJ5pjTxS5ICMGDKLswceeAArV64suq0/T7t4izOnEUbm6HslFTWfmLYK78iZV8QQT3vYOuSR1sgc/apyYN5+wCFF7PAPhT3QnKSAsRo4f1BAzwsCPt0G/PZRFYcfJOAbZ1k/nliSiVTZ3bH2qRnBOKkeRUfJsh6LY80ZE4tOdtAFvbUzqxuzA1tDcBDtYGTqFp1EzvSf9Ql45lcC/vcVFd8+x55toTLtc+CTHYozfQ3VVAvofVFAODi4tfjTv9LEWkMNUFNRSJxpNiUdRM5YIyCfKS3y+nMEXK+fpw/uBwYSwBGzizhvzLF20FzCcMptpmmaYY4sm0dm53MWT6jwQ4UKQOCwrv2lPqSgpVrajZizDQJWB+kE1h0x5SByBl0MzZvpQ3kHENNT4m++VMAbH2jrq7xocaZdMycRfFUXUizN1gmsAYfqoAbOnNboOHJmiry2dAGzC7zfa5A4c4AXa86Ys28WQ1dccUXRLf1z2WW3IUg2segEL6Y1OhEePM8POwZbA3bhGV3kMlfMBbHoxB6WIje+XsCPLgYWftVeOhoA+PXdQSed7eS0Ch8AVRRRWSZg/oHAk79wkuJk6o7oMHL24C0i5h3lzFEzzzmzPbJGv2bzDxJw0VVCQWc+H4Ewi3o4cfQzYsgpPmPH2nndoioK+NLR2n92CbHW9Q7nirHU2GBQQEXpcHvOsmBj2i8CKSDuIOrB1pAvmP33ztvPQlMZvSbLSec/mV1vDlEPcwohYK87YmJA37QSrWdYZEM0paXZbgiiR2GCHCJ5MofxB2ykR0WlgL5/ivhwo4rqcmCnaRxcWZF9VAxx5kAMsTpVlUNaY2WtFjGXnKxpRcuQADhEzozaaRn/t0TFSZHdqyEI1Zw5wIvizGtiyGtpjTwdfR5iKJuYtgtrIc/ay9uFZ3SRR6SK2SPmydMvFtZd0sk1Y1GPCeME/L+rRUeOPpvB5EScSanhKWlOyKQ1Ko7TGiMzxYJ1dwWPVTK4254dWIrcglkivnqSM3vYLrzspFujvoYEHo61IfAdpDWypjIcPmOsdb3fYeTMEGccoh6yfr+P9zkQ1Ppn1Gji4wQOg8N5ijNzChhgb+hzQhcJPNYQMFgw5mv4kg+2hnhEzlh0KclxDc3ZR8DU8cIgQVZ05CzkPHLGou0qh8hZVS2HUQOqOXLmVJxl1s//LQEUxX6mw2hA4swBXmwIwtPZB7wrzuw6+zzFGXP0E4mE7WPwFNPMHifiTFVVo70/j3PEBKOTc+SGPY7OkR71EHzOb58lTJw5SGtkjj53ceZADPl0cea3MOg157GMbo0O0hqV/FEPK7CGF05a17MUuUKDXYuB7RA7ir5yFPhllSxyxkmccVhDzLGO97oXObMCu2bOImdM4PNLaww5SGtMxjnfh0zt/eM299JEFjnjsIbC+qZDb5fz1Fj/kDUUNrlHpUVGzpjgdNLxkzWi4lFzVlOvt/bvl7Gjzd6zWpbNNWd80hpLVAUtncD6HY4ON+KQOHMAz8gZr6gHzxomwHs1Z06jVTzFGQ/hwfN6me1RVXu7ROaBzzxSU5hNAwMDto/hNUHN0hp5pKQxceao5ox35IxHlzQ1uxNi61hhk1i06YcIulAQOdTnMHGmOkgjZE4ajzXkZ0OfnXT81OsWVQ72lFeIkCHABxWKTZtkWTXqFnkIfDYTylG3RsOx5pdG6CjKkOYnzsSgCMEvwKeq8CsKEjb2PhN6up/CYQ0Bg+9DMZtukc+Ivjq3qbRKu+6xbgcCXyrczbLYFPlQhfO5a6zzMI/a18raTK3yM2/bm3EnpbW6RQAQHN6rDXGvN7lZvtbR4UYcEmcO4NmtkZc481oDDt72OHWu3XD0nVwznpFOv98Pv98PRVE8MQcOAEpLtdkpTs6RG4LaWeSMn1NUWuG8eQJrCMJNnBk1Xva6NSqKakTOfBwcWV9JJnKWtJsdyyJnHMRZuMy5OOOZ1sijdT1LkeMSOSvJzHGy2+Y7LWWir3zSCPVW+o4iZ7pjzWHDIVDGOu05v2YCh5Q0YLAz22/j8ZpikTMOGQVD7YnF7W02+vTNxhCHtMYKXZy9uYKHwB+8hqZNBKaOB46dV/yhwro4kx3UnBkjXDjch1gHypAi4+OtNmea6tF/iUPdohjQNhxERcVhByiDopO7AyTOHMAzcsacWCcRBkVRuApGICNA7KYR8k6z9KI480paI+BcfPAWZzzEkNeuGc+UtFI9BczvoHkCz7bsgLnGy14aoawAPnBM2zNFzuymNwkuiDM4SCPkKvArOURf2RriIM4CfgEpwdlcsZSEzA46B2efNU9wMqOK1S3yiAaHynSfwUlqrH7NRA5rCBhco2NHnLHB6jyir4PtUWxFzrToK7/06lkHZDrrbmuxWb/EImdD6qkCfgEbHxXwxl3F21lapddR9nojcmZePy+/H0ZXn/VzpHCsfTXbtOR3Ks47nhqCjBl4ijNzowKnnRGDwSCXlLShdjm1iQfmtEY7qXtei8LwTkN1Gs1zK3LmlbRGLpEzmZ9jXV7BxJliOxWV7TZ6Ja1RljNRDy4pV6bIWdxm5Iw51jzEWQmHJi6ZukUOa0h30vxO6hY5pjUCQFr/rNpNAUulTZEzDteMzaZL9ds/R4Y4czhgGQBC+uceSQeRM4lz5MwU+RiwIc5Uo/aVb+TMblpjyhx95dCN8MD9tWMEVAWLP7B5EH0NBbKsIb/fWrSI1XbGumVsdygWwWENsetVJipIpgU0tVk/BmuypHCLvrIIvrP619GAxJkDeIozQRAc1zDxdvQB55EG3uJMEARHHQC9FoXhHVl0uob29MgZz7RGkYdjXS5CgqDdiG3Wd/FvCKI9FsI20xplha84M885s+M0ApnIGQ/HmkcTF+akOa2rAIDyKucC3xBnnBxrSXeu+m2mEZodax5rSAizNuhOImd6DRyPyFmF89l04Bh9BQY34LAXOdOjHtwiZ5n7kC1xltaEFACIPGpfQ5mRHsvX2vucGWuIQyQPerfGoKLgt4/as4dnFohoipwBsNVhk9VP865blAecdUEfDUicOYBnt0bAeZSBd4ocwC9y5hXB6LWGIJTWWLxNPFvpO7lm4Bg5Kw1n6nMUm5EYFsnjFfXwl2v3s1Kbc84kWeWa1iiaauCcpjX6OYghVifoJI2QXTMeKWmV5QLS+o67anMwNu81JPuZOLOZBZLODDLnIs50x9rRjCrWlp2DY12qizMx5bx+iZc485vFmY3btco7gl/GM3LGITIUZpEzGc2d9o4h6tcswGHu2hGHZtK9n1xs8yA8I2csw0F/XtupD1ZSfMcxsLRGR3V5owSJMwfwjJwBzpsn8I7CAN5LazTbNNrijGdDEK+IM7fWtNNaSsBDkTOZX7pVWRhI6/U5SsJZ1AOcUkECNVq9aoWcRlqybhOrX5LBp+Onz1QDN+CBmjOWTiQ6aRXPcce6vARICdo5UpM211CKb72Qog/sHbAZOZNkwO+CYy076I7Is+asRI92+hw0cQHntEYj8qEqjiJnPNqyA5nPfViV0Wfj8ZFKA34m8Dl87lnkzFkEn1/0taI2I17tblqBdfzkIs508SorEFTVVsdP1uSGX/SVRc4cfM5GCRJnDnAryrAnRs54NSgBMn+fV8QZj8gZ77TGPTFy5pVrxrq2cUnZ8wmGOJNtOtZG1IPTjnXQJM7spDWyodgyp7rXzJwzJ/OO+DnWZRw6bGbSGjl0kSs1RV9tNpgwxkNwWkPGXDGbA3sl2dRSm2PkDA4iVT5jVh6H1NhK7V7m45Ea60bkzElDEI/UvqYlzgKfQ+2rj9W+ckivNjdMsTukm6VZ8mgIIoiCkeUQVO3ZZDQE4VVzRuJsbOK15gluCCGn4oydI16RGLNNoy3OeAgPlhrL65oxkeeVVvpem3PGZWQFi5zxap6gO9aSzdQLlWOnPWBo5Mz6zzNxpnASZ/4q7d5RLkuOa854tEE3i7O3P7JZiM/Rsa4ohdEdUbEr8FndIq/Ime4Mp2024GDRVwWa0+eYkPMaLzbQmOcg84CDLq28xRlLI9TSGm2sIxZl5xU5M8SiAjv7IIMEPpfImfPaV1Hldx8yz39MpmCv3pRFXzlHO0OKbE+cpfk2BBFZzZmDkRWjBYkzB3gtysAz/YvBS5zxqBfiYRPPa2aO4Dkd+szr/DARbHdoOO817VQs8raJiWAn9kB3FHg5RRlx5ixyxquVfqBGu2ZeEWeBqgAgAuWKhKRNAcvql3wcdtArq3XHWlVw1DedNQbgkdYYDAhIifpAWrsCX+Ir8GU9rVG2GcljjQFkTvdFFjkTnIgzjlEYFqUKOGjiYqwhznPOnDrWbkTO7Igz2RTB55FebaQ1KvbFmc9Ia+QXyQspCqCqtmq8BI6NiTSbMgLWSc0Z7+ZWCtWcjS285sh6TQgB7grG0Y6c+Xw+46bP/s7RtAfwnjhzag9vm5g4c2IPz7RGwCTO7NaccY56+Ct8UAWgRJGNNv1WkDmLM0EUjGieb8DevdHYseZRc1YuQgbgAyCqNp1rhe+MKqdryIiccdpBV/zMKbKZ1sh7DelRD8FRWiO/TnvBoICkUWtq79khcGwqAwzujmgrY9dYQ5y7R6oy7AQYJX1jgHd6dUCVbde+sjXk47CGxIAIISDABxV+mzVeRuSMx6B3mAWjbMseltbIu26R0hrHGF5zZHnbA3gzcuak5oydW17nyGkkZk9fQzzEEE+b2PlxFjnj6xSx6IBkMyUNnOuFBEGAqjuzio2HmsQagnCyBwCCddrGVWkyDVm2fp5Ejg1BRDFTJxhUFHT22jgI5x1rQ5wN2BVnujfOueZMtik8jLRGXmuaRc4czKbzcUxJ8/sydYK2m5RwbEwEAL5S7d4YUu2N0FCNWXn8U+TsiEUlzTf6ajQosTkHDuBbtwhkGt2EVHvRTkPg824qYzP6qro0yNxJI6DRgsSZA9xKSbPrOHoxrdENm5w4/Lxr4JgtdgeH7+lpjV6LnPGwx0gF4eQ4soG9ssOoB6+0RgCGOFNtpKUZjjWnHWsACNZqn7NKOWXLUeNZ6wFkxFBAVbChyYY9bA1xcmQlp5EzJng5bTio+tBfxWath9G1jdMaYvU5TiJnIkfHOuAHkoIzx9GttMawYi9SpTCB78LcNVs1ZyxyxjnNMqw4iJyp/CJnmk3OIlWCxDcLxGfq+OkoNZbbEGoSZ2MSrzmybkTOWJQqmUzaSt9xI3LG/j4n4oz3NaPImTv2AHwFLI9IHmsuwWvH2rljrXsuHMWZ0UDBhnPNUiF5ijN/pXbdSm06akyc8ejWCGTGHwRUBa1dNg7AeQ0ZAt9hzRmvWg8l6DByluIcOdNT0kRHkTN+bdD9PiApspQrZ2mNvBuC2I1UGQ1B3Iic2fCtWfdbXvehTJqlgrjN+mAWOfNz6NYIDK7xsiXOOHaN1exxJhbZnEaFc6ouibMxhtdSwNwQQqIoGn+fneiQG4LRS/Y4jZx5TQzxnnPm1ciZp9Iafc7mnLkROUPYgTjj7FgDgL9cs6dElmw5ajxT0gCgflymZXRPv/Wf5y7wfc4EvpFmyWkNsciZncgrYE5r5OQ06psNooO5YrzTGjM1ZzYjZ8Ya4utY268547tJ5C/LRGHsNQTRI2ecxKLgE4xIlS8t25oBaQh8TpEzp2mELPoqcrovmqOLdhqCsLRG3gLf7gbIaELizAFec6zdEEKAM7t4p+2Z7fGCOOOVisrr/DiJKgLeW9O8beKS1qjw3bFmjrXdOWdGzRmnBxoAI3KmJu1EztiONcfPvO6olSj26mFElk7E6ZqVVvsNe3rtiDPmFHFeQ7bFmcQ3nQgB1trf5qYV55ozURceooO5YoY44yCGAubImc1dfdFFx9qOGDLqFrm30rdZc8a5qQwA+Moyn3s79yGfEcHnVXPGBLWChI1US941Z5m0RhnJtPV7Ee/GRNQQZIziVUffLXFmxy43I2deSGvkFe30ihjymj28beKa1sjpASL5ne3u8W6lDwCCHjkTHYgzXilyAOAr19ZRqSLZctR8nNMaAxW6kyZLziJnXom+8l5DzPm0GTljLbV5iTPmpPmcpDVy7Nbo9/NLa+QVffXrDUHsdkfMzDnjXL9kt5U+5+grkNkksluX5+e4hgDTuAHVZs0Zq1vkJfBZmqWiIOWkIQjnukVKaxxj8BZDvBxrnlEqgE/kbE9Pa9xTxJDX7OFtkxcjZ0nWPCHmrGsbr5Q0IFOjAzvizJW0xsyOtbOaM047snqaZakioSdmXRDxTkkzBL7NGq/MQGM+9qhBfU3bTWvkXAPHIgyinXAHOwb4dfwM+DKDw+0OyDUGq3Ofc2YvjZD3EGoW7QypijEuxApGUxmO90WfKYJv5xz52X2Ic82Z3RovkXvkLFNzZiv6mnZnDZE4G2PwFkNec6wZdgWIefYXjyGQDC+mNdq9ZtStcWRt4lFzJnBsyw4A6YC+nvvtNnPg2wYdAMQSzSZbkTPmWPP8zLOaM8UbNWf+ioxY9FTkzGZqrMq5Xoi1rofN7ogK75oz3Yn120xrVFU1E30NO7dpUEMQp2mN3FrpO3OsedecCYJgONc+G7WCvNcQAPj1tMawjQi+oqjwG90aOTcEURR76d76H8Gttb8RybMr8DmnxlJa49jEa1EYt9Ma7Yoz3vZQWmNuSJzlh2daI6/IWUoXZ2q/w8gZJ3uATKG5aMO55l0vBJgiZ7J1x9HsWPMS1MyeUllC34D1n+fdEERmQ5890hCEV1ojr8iZnzn5NiNnqpqJenCpOfMDSTbnzGZaY6a1v1dqzvhGXwFALGXpqHYi+Hxb6QPOImeykllD3OaKhVl00WZGAee6RdFhKqrREIR7WiM1BBlTeM2RdTut0Wq0wS17vJTWuKeJIa/ZA/CNLvJMa+QV9UiFNJsUu5EzF2rOjAYKNmp0FM4paUAmjbDE1o51JnLGyynKRPJk1rzTEiJncab4naUR8q4XYnPF7EbOeNctOo2cyUqm0x6PweFat0Zns+BEdl/0yJwzVr/Eaw0BMIYsB2yIatYQhFuTG2TEmZ1zJEkq/OA7fD6TimqvQYnxLOMVOXM4/gDsecO5QYlCaY1jC681BPFat0a3I3leEGcsEuOVbo1Ozo3557wizlRVNebr8RRnXkprlIKcImc8xVmpg8hZir84MyJVNnZkJdnkFPFq822kNdpLs2SONa/ukTLrjui45ozTNdPTtoSUzcgZi77yul76ZoNfUaDaUNNSWgW7I/JYQz6fgBSbb2gz5UrkfB/y6Q1B7EZhDIHPybEGMmLIb8MgNtCYawTf1K3R8n1ITzlOCwK3Mo+MGLKXRugz0hr5zhXzXFojibOxhdccWbfEkN1UMLcjZ15Ka9xTxBDvOWc8Z/fxeKDxiJwZUQ9OjqMU4iPOeO5Y+3Vx5rdV68E3JQ0wNwSxLoZk/VLLAAReaXKm7pF2ImdGaiwnx5q1nmbRAstwHsdgRM5szhVTjMgZH3sCAcFowGFHwLINB56ONRscnrL5uTfuQ9zSGp3NOTM6//GMnOnOdcBBzRnXyJkpUmVdnOlpljxb+5ta19uqOTNSY/lHzuzYo3Lv+MlSh0mcjSl4iyGv1S8x7Dq0btnjxbRGr0Q797S0Rq/VCAKAoPJNSZOCbOCzw6gHz65kRutxG06RC2mN5jRCuzvWMse5az5TJE+x48hy7rSnGEOf7YozvilpojH02WbkjPdAY4fdEaUUf8c6raeiSrZrznT/g3u3Rtlo6mMJiXP01WST38az3pXImYPGRFLKhfsQqzmzmUZorCE30hrt3BfTTODzXdNUczbG8Gq3Rq/UnLkxgNpsjxfEGa/ImdfW0J4qzlgETlVV29eMe72QMfDZIylpyMzz8dup9XCl5swUObNaiM+cNJ7dIyt0J022N3eNdzMHFjmzu4YEztFgkVdaI69Ip8/UgMOGo+aGwGdNXCSHkTNea0j0i1D9AnwAVDvXjfM4BiBzHwp6sObMasScjbmQeEbOyjP22OvWyLmpjBHJczaOQeBcc0ZpjWMMr0VhvNat0e3ImZfSGr1yzbwmhrwWWTTbZPccscgZr3ohhUXOHDrWvFLSAKdpjfydIifdGjM71u7UwNmJnLG5a7yayihs59tuWiP3hiCsoYzNtEZmD9fImf0GHLILkTPJiJw5FGec2rIDmeHzgo2Ipxtpjew+FJRlo/a4WIz0aq5zzhzUnLH7kAut/e3OXWOD1Xk1BBFLnEXyjJozXnWUu7E4K6qwJBKJ/AbAEQC2ALgyGo2mh7z+QwDnRqPRCHcLPcyeHmVgOJ1zNhbSGr1yzciewgQCAaTTaUiShFAoZPnneUfOVP3BKDiMnPFy9IFM+o6d7naKpEKEW2mN9tOJ+EbOMpE8J90auUXO9J1mWxEPAOA8HsKvO0WC3blinAW+39y63kb6sBtrSNJTUSWb6cyse6Sf0xoCAIR9QEyy1QjIiJxxcvSBwR0kFQWw8hhg9Us8h1D7nXRrdKPmzGG3Rp8h8L0xjgGGwOc7akBJaI2AeNUcjwQFz0AkEpkLoDEajR4NYB2Ac4e8XgFgtjvmeRuvOrJupRF6pSGIk7RG9jd4pYaJ0hrz40ZqrNNonmDUenByrEPOImdG6IajExIsc9DCmnMbdMCUTqQqkNIWd9AlF8SZqSGIrbRGlfMaCjhcQ5xT0phT5LMpzozUWDciZzZ20WUXoh6K31mzAt7NHIBM5MxnQ5yJbjQEcdCAg21UuJHWaCe92o3ImXnumq20RibwOUVf/Q6uFwAIRlojp0HmYmaQ+e7WFKSYK3IEgJf1r18EcOSQ128A8EeeRu0ueK1ZgdtpjXZrzryY1sirG6HXOmzuaeLMi2mNIueGIEycCUnFcuoOAFciZ4Ey7dEQsFOIzzklDQAEQYDEIh8Wo0PupDWymjObaY3MseaV1si6I9qMwgic15DfQUMZwDSMlmPNWcpB5IzNXeO5hmSHaY1sdh/PyBkTZ44iZy7UvtpJ22ObRDzvQyyN0E5kSGaRM66t/Z1Fqny8B5kbm2jO0hp5Rl/ZNdsTxVkNgF796x4AteyFSCRSBWB2NBp9xwXbPI9bM6q85MgC3mul78WGIF65Zl5bQ16zB3B+zZg483MqWhb9otaiW7U3RFhwwSkKsMiHDeXhRkMQIOPUWHWuZc7NJYAhc84c1JzxinooYc0ewWZtBYsG86o5C5YIkKGJUMVmaiwArjVnCdF+/QlLSeMZfS2v0a59ImYzrZFt7HFKSQMAgdWapqzfGw2Bz3POWXlGDFmNDKmyew1BSmykNcpJFyJnpjRCO5Ezv8JSY3l1R3RWAye40FSGXTO7jXdGi2LCB90AKvWvqwB0ml77DoB78v1wJBK5GsDVAHD99dfj5JNPtmykV4nFYgCAnp4eNDU1cTted3e3reO1t7cDABKJBBd7GMyJbW5utnRc83t52tPf3w8A6OrqsnzcZDIJQDtXPGxiwrOlpcXW8fr6+gDwX0N2j9fW1gZAO0887Ono6ABgf03u2rULgBY54bWG2Jyi7du32xL4LOrR0d2OpibnD5F0qhpJwYeAKmHHph3wV1mL6sq6IzWQHOB2jrpjCQDa32r1mLGeGMIAZFXmex8SRYQgo6W5DVYO27JTi/jL4LeGFL3jX6kiIx5Poqmps8BPDIatoc6eNjQ1Od94iKMUACAkFFt/I1tD/Qk+a0iVQkiIfpQpEnZs2AFfhbW/caCvH3UA0gqfNdTeLhrirG17G9JNKUs/37pLe78s8ltD9XXavSPWlbJ1TBY56+hqg8BhDQFAWpS1etG49fu/qmfW9Cf6uZ2j/rT2PAsrMrbv2IWqsuIzCwZ6+lEGIMXxPjQwMGDYs6ulDU3lxWcTtTZr91SZ47Ms0a8ds0SRsaOrB01N/ZZ+ngn8jp42lHAwSdYFUEiR0T+QQFNTl6WfV5L6Gkrxe5apAe1v3LV5J0qCJVyOyYvGxsacrxXjBSwD8D0ADwH4AoC3Ta/tC+DwSCQCAPtFIpEfR6PRX5l/OBqNLgKwSP+nzVZS3iQYDAIAxo0bl/ckF0t9fT0AIBQK2TpeVVUVAKCiooKLPYzy8nLj+FaOm0hoN45AIMDVnpqaGgBAaWmp5eMyx3zSpElcbDrxxBPxyCOPIBqN2jpeOBwGoF17L6yhyspK4/887GEPMyD/jSgXTDzxXENsPZeXl9s6pqh+CgCYMHEcGhvDju2pKFeQEH0oVyQ0VDWgpNHaA8QvaoK6vKocjY2THNsDAIHWXuzEBvgUxfI5KgltBQD4gnw/94pvPQCgurQWjRbOUd/mPnRBG2jMyx5VVfGR+AmCioKQz/rf6dPX0MTG8WhstN6UZiihas2pERKyrb8xILQAACqry9HYOMGxPTNjKj4WfShTJIyraECJxc9JOLAFAOAvCXK5ZpU1Kh7TPycVQev3tp7KHvRAi3rwWkP77KslJKlJe/dGn7oOANA4ZQLqG4NcbFpb1YoU+hBSRTQ2TrT0s35V20irrK1EY+M4LvbIkxTsRDPCiozx4yeirqr4KGE4oPsfYT5rCAD6+mJYj00IqzLq6sahsbF4e9rKOzAAQOG4huJqHJ9iA8KKhLKyKjQ2Vlv6eZ/6MQCgceoENE5yLvBVWcUarEVYkREIWPdBAtDXUE0FtzW0tXo7EkiirrwONY01XI45EhTc9o1Go6sAtEQikaUADgLwVCQSuU9/7ZJoNHpKNBo9BcD6ocJsT4d3yhXrHMdEzWjbw/BaK30vpTUeeOCBADIRntG2h60hsygaTXvYBgaLWI62PYAmzAFg586dtn6e7VjzGv46KOXKTuqFGzVnRlqj9f001YWaMyCTlmi15syoF+KY1igIAqCn8NhJAePdSl8IiVoaoaQaLcQtwTmdqKEaiLM1HbN+fnivofISIK0/N+I99odQ80xrrKlnTVzs1pzxT2sU9fqcgJ20Rj0Kw6uZA+CsAQerW1RdqIGzV3Om34fcmLum2miYoqjwq3xrzgSfAIREiLA345CNY+BVzw1kUj/3xLRGRKPRhUO+dU2W94ypNvoAf8exrq4OQCY9cbTtYVAr/dzU1molmN3d3bZ+nndd3uTJkwEA27Ztc2QPr/PDopxdXdbSG9yyB8jsUttNmzDmnHF6gDTUAEmjHsbGA421Qef40A+Etb/Nr2pNSgQLTqkbDUGAjFMjW5zlZdSccXSsAUAo9UONSfDbaJ5gtEHn5FjXVgmIi36UKxKkmIRgjbVIisB5PMS4aiAuau5Fb7uE8gOs/TwTZwKnNSQIAkTdSevtsC48MkOx+X3Gaur0RkA2xx+wjRNe9UIAIJbYHz4vulBzZjTgsNNgQv9cGp1MOTBILFqtOdNrHSWe4qzUfk0eq29OCiL8HAUswj4gqUBMygACln5UZA1BQvyumdEQJLZ7iTMaQu0A3o5jQ0MDgEzdj1XcaDsOeK+VvpeGUDPxYVec8Raw06dPBwBs3rzZ1s/zPj8VFRXw+XyIxWJIpazVeZjt4bmGmIDdsWOHrZ8XOXdJm9IgZCJnNjpK8XasAcCvPxx9qmrZCWGF+NwjZ7pTY7Vpihut/QFAYOMGbEQZfJybysyYKmDAp9+n+xysIU5OWjgkGB0t33zXQeSMY2MAZk9fp/0h1DybytQ36NFpGx0tVVWFH/y7NbKhvXaGz/vYs6PEhciQnQYTrJU+zwYlpm6NVpMKWCMjnpEzMShAEQUEVBWKxU0iWR/GnhJFcDQJQgnr+GnjvqivO9GFNbQndmskcsBbDDFx1traauvn3U4j9EorfS+lNVZXVwMAent7jb93NO2ZMmUKRFHEzp07PSFeBUEwoot2omdurCGnkTMf55S0qeOBhGC/kxxvxxrIpCYFVAVW/TTVhRbWQGaYrOW0RjZAmLM4E1lao420NJFzOtHcfTNphLEO6/P73JhRVV6rnZ+YDTHEWmrzXENlVdr56Wm3MR5C3xDgGfWob9CFkI22doq+ptOCAL8LaYQBO+LMhTboTCx6RZyJQQGyoIkhyeImERNDkp/fs0wQBCj6RpqSsHbNWFOjlMBZnDmYledjaY0cI2eZbo32ujOPFiTOHOBW5GzXrl22BuS6Jc7sphG6HTnzgjgLBAIoLy+Hqqro7e0t/AM57OE5jqG+vh6qqtqKwLqxhpgoe+qppzxhj1NxZkTOOKWk7dsIJNkMJht58ZkW1hxrT3QHy6+q1ltYu1VzxiJnVsWZ7jSqvNMabaaAqbIKEYACcHOsF8wElJAmhrZtsT9AWOQ50FhPI0z12nCKWN0cR8e6oVGzp7PVxqaVC1GP2loRMgT4VOt1gswRTwk+ro41i1j4bAhGJs58YY6OtW5PQFHsizOea1oQILHh4RY30ow1xDEaDABqUE+PtRgZYnPXUoIPPF00oUS7D9kSZxITZ/wMmnTORMy6cyZqj6gt/GYPQeLMAbwdx/LycsycOROpVAovvfTSqNvDsCuGvDyEmqdNTuqq3DhHTOS3tLRY/lk3zg+7TjfffLMn7GFpjXbEmapkHGsfJ/FxwFQgre+mxrptFOKrfOtzgEzdiE9VkLZoEktr5GkPYE5rtJZPpLgVOdOdPtHiHC8jnYjjjrUgCIAuFnvbbaQTMaeIo2PNIovpPvvijGfUo2GCZk+i18amnu5Y84x6VJaaNmUsOvqp/kxKmshxXftYOrON2XRG1CPMMVKl2xNUFcvp1YILNWeAqfbV4rxF1QWBD2QG0KsJiz0BXE5rtFWLq290+TiuobojazH1simomFHO7ZgjAYkzB7jhOB5++OEA7HWSc6vmzGuRMy+lNQJaXRWQmb822vaMHz8egL30WCakeNpz+eWXAwDmzJlj+We9FjljURtZELg90AJ+AYEytqtvP+rhcyWtUbUsztwoxAcyw2QtR86S7jhFLH1LtLilz1Lk0qLIdcdaLWFphDbEmQuOta/cQQdSfQ3xbAxQUqlHGCymfwGZa8ZzDYWCmUZAVjtIxrr1FDnez9aw/ciZX+bvWLNjBVX7kTNwjJwBgOxjaYT27kM8BT4AqHrEXLCYXs3EJe+0RtZ4x17dov4sK+F7jnZHSJw5wA3Hkc1gstMK3WuRM6/Z45ZN7JqxAdB27OEpYHlEzpgA5sGFF15o+5huXK+JEyfiT3/6ExYtWlT4zUNgD+Sk4APPZc3y9O20+WYPNIHjA43VHvmgIm2xO6IbtR5ApubMagqYG1EPwEHkLG5aQzx3rHWnaKDL+hpiqZk804kCFdrnXbFR68GiDH6OjQHCVaxRgQ1xpgs6nuJMEASjhq3X4jUb6ONfAwdkxJDfRv00q50LlnGMvjJxZqPmTGDigLc4Y2mNFsUZW0MK77RGFu22GH1lz7KUyDs1Vo++2hBnfon/JtHuCj8PbAziRkpaWVkZAO9EYczHs5vWuCd3awT4iDOvRM7Gwvnx+/34xje+YetnWfpRShTBM0uOibNEzIZTZNR68HUc03rheyqhwNI+nks71qru1Nitz1F4R85CbBaczXohzulEbEZV3EZqrLFjzXENBSv0CIONLmmqvob8HO0pqfIjDXu1MBmBz3cNSX4fkAT6bIoz3tFgQ5xZfNarqmqsodIKd9Iarda+GiMKgpzTGtl9yGKkikVfFc6bVgixkQzW7JH0Z1laELluNNptKqNICkRVhQwgyLF+eneF5KkDWGtwNgeMB6WlpQDsiTOvpjXuyd0agUxaox3x4cY1Y+LMKzVnPDYceK9puyhGETVfx5pFCJI2ZrEwR4r3bqOsn/N0wmLkTH8oq5ydIpbWqFqM5Bmd9jg71nYjZ8wpSgl80xoDFfYbcPhd6JIWrtL3fi3WwgAw0hoDHKMwZTX2a2GYWFQ4P8tkPfW3r8vaGjLEGedosN9mQxAlpdXipgUBZaUca+D0e1rATs2Z5M4mETvnVtMapTjrZsn5vsj+Povp3nG99lL2i5bmWBaCRc4CFvPhje6Roo/v3LXdFG94PLsp8XgcAFBSUsLtmMyR3RPSGr04hNqNmiqvRYacpDV67fy4tYbsIptSQbg61kycWRVCyBTvBzjn6cuCvdb1gmuRM80e1aI9ilGI705ao1VHVhrIrCGeThEbSGsnUmWIM45phCG9xku0UePFHM1gKT97yqp1p9HGgGWj5oyzwGdRlH6LTUoS+iw73lEYv820RhZFSgk+lIT42SMEBCjQal+ltLV7o2DULfJOr7Y3b5E1AuJtD6t9tTrMfCDmTiSPzYKz2sXW3CipJMjVpN0SEmcOcEOcOYmcuSXOWNTC6hyvsTCEGvCeOHMSOUskEgAy65AH7Px4aU3bRTZFPXhGzoK6U5yK2y/EL6t2J3ImWeyOyGo9eDshjtMaeUfOQvYagsR1x5p3vRCzx7J4NaUTlXKMeoT0yJnfxjBaQb/GoXJ+56i8Vk+Rk63bY6whzo4siy7HLYqzeD//UQNAJnJmWZyZmkuU8hRnpro82aLIZ2KFZw0cAMj6Obc7V4x7PRWLxFlMI2RrjnfjJl+pvU0Qc1ZKBT/3Y7eFxJkDvBY5SyaTAIBgkO+2g9ciZzzSGnk2vHAizty4Zqy1v525a2zd8VzTXhOvTmAOQpJz5CxYojnFaYupMgAQMGo9ODshrM237cgZ5/QdXVypFnfQWQMOhXMkz27kjNUV8q4XYlEPq90szelEFVzFmf00QkOccXSsK/Sh2CE7GRdGShrvyJn296X7rV2zZIw13eH8bGVphBbXNMsoSIsi18gZAEhsM9bivZE1fglX8m2tYGzyWP6c6ZtWJXztYZtgViNnTJwpnO/TRmqs1UZJelfXhOgjcQYSZ7j11ltRWVmJ3/zmN5Z/lomzcDjMzR4nkTP2M0zg8cKuOGODtL2S1miO/PGM5jkRH25cM7aG7Ah89jM8I2dM6MXjccvRV7c2HO67eivuPP4TfLjU2ueMpaSlBb55+kHdKZItpsookqINsQVQXsl5rpje8US2GDljM6r8vNsh20xrTLtU6+EzGoJYOz+GOONdLxS25zTKLu1Yl+it9O0NNNbu7SGeaY2VAmRoTW7SFjvbMXHGs2EKAKj6GkpbTEVNMTHHWSyyz2zA4n1a0jtyxkW+aY2Aaa6YxawC1viFdenkhWI0BLFmjzqgnSPWap4XhjizmFGQZJEzjrMNgUwbfL/VdG+TOKvk68Lulox5caYoCvr6+mw51iwFzCuRM6+JM3ZOWcMM3vZYTWt0KwpjFh9W8Zo4cyMaLAiCsYHBxFax9PT0AACqqqq42QMA6lstmPHhdrR8au2aseGvabeiHhajQkbUQxBRXsJXnNmPnGnnKFjmTlqjarWVftydhiliUB83YDly5lK9UIm986OYaj3K+X3sES63t4MOZJqshHl2/hNFpPQ1PWCxKypr4sJ9w0HfMJAsRs7YfYh36rBRc6ZarF/q0p7FSZ+P61BsAKa0xuJtUtIKfLKipepyXENAJtqpWuzWyFrd+zinWbImPoLFtEYmzniOYAFMTVws+otM4FPkTGPMizO7jqyiKIajSZGz7LC0usrKSq722E1rZJE8nt01gcz1Z2LdCm5cMyasvBI5A+yfo+7ubgAuiDPdMU4MWBND/b2siJrvAy0QtudYS3HdKRJ9KOV3GwKQmSsmW+yOyNJreKakAQBYOpHNOWc8Z3iZj2e1lT6LevCeA8fEmdUddOYUpUQfX3FWxtqy2x8PwaJvvGBDm+MWxZmiiyEfZ3ugryHJYiQvzbq6cnasA3qk0mrkjM3WS3EsF2AYkTMLYkgeYFEYP8o4b1qxz63VCD7rWspbnDGBLlr83Kf73BFnRt2ixc/9QHdmDQWoWyOJM7vijDmZ4XCYa3qTk7bjXhNnfX19ANyLnNmN5LE0RF4w4bEnRc68Is7cipwJ+gM2NWDtAdKvD4nmXXsSDOspexYjZ4m+TK0H7wdaJq3RYuTMhagHAEOcqZLVmjPdseadvmOzs11Sb3UvB/k6sqypjGAxUtXfqTuyPr4trFnEwqp4BYCgnhVRWuMNcabqmyD+cs71QvqalC2KM1afI5bytYd1jbUqzuL6fVHivGkFmOaKWYicSbp4jbuwaWWIM4v3RVEXl/4yvtdM1NeQ1ZEeabbhwNmeQKm9tMZ+PfrqxhraHSFxZtORdSP9y4k9gHvizG63RrciZ3bTGt06P2wNWBUesiwjmUxCEARXOn46iZzxXtehkFaI4JW0RibOkhbrGAZ0J0TlOA8KyDjWViNnTCymXGiYothMa2QNIEoqOdvEBpNatEdlaY2cd6yNmjOLTgjbsVY4i8WAzchZX4d2H00H+DppobKMoy/LxQtqVVWNph0VtZzFmR6FifdZFIz6Ggpyjpyx6Kti8T4ku1S/5C/NDH1WLNRSDuiDz2XO90UgMwLDyjmSTTVwZdzFmZ7WaPE+xMRZgLPAN7rGWkxrZOfIx3kNseir1UHm/XrkTHFhDe2OkDjzmDjbkyJnTJzxjpzZTWt0O3JmVZyx61VaWso1+mqu77J6jrwaOauuruZqj6DXC1ltXR/v1B5oKucdaybOrKbsxdr0PH3OjjVgmudjIa1RVVUE9NbpJTWcbWJpgFZrmOLupBMxcWY1cpbu0+xRwpzXUKmzyFmad8MUXXwGVAVxC3sy8oAMEUBSEFHNeTwEW9MJizVegl6XF+Lc+U/UO/fJcYsDewfciXqwDqRBVYaVTugxfQ2B84YDkGnAYSWCb24uwTtyZjRhsVhzxsRZkHNXXVZLa7W2k62hAOcNB1ZrbLXjZ7zbnY3P3RUSZ7oTajUlbSxFzpymNboVOfOaOLO6hty6XoIg2F7XbkXOvJbWyJyQtMWhzwk99QLlfOsWQ6wuwmLKXoxFPTinyAHmmjMLhfhJrXtkShBR5lJao9VzZBTiV/C9Ziyt0WranqSLM4G3wC+156Rloh7u7OgHVQWJlHV74qIPYc7DaFn9UtKiOBOTmk0hztFgNvTbaoocS7Pk7VizaxZQVUgWop3xbnfWNGBKa7RScxZja8jPde4aAEOcWYmcKSnWoEQwIsq8sJvWqCZYNNidtMaAYm+wOu86yt0VEmc2xdCWLVsAABMmTOBqD4/IGe+oh9caguwpaY1uXS/zMe0KRt42sbRGr4gzHxNnFiNn6R59PATnHfQQS0mzuNvY1azZo5TyFR5AJq3RSgdJJjzioo+7UySwtEaLTojIHFnOO9ZsDVke2Kvv6oNzOhFz+iwPxdYda94ttTNRGAUDFjZBetr0WYJ+P9eMAiAThUlarDVlbdlLqvh+7o3ujzY7//EWZ4IgICXoTUosnCNWc8Y7RQ4wta63UHOW7tHWdL/Pzz2t0Y44S+t1pjEf/wYlPmOumMU1pKfGBqs5bxLp96GgokBVi//cJ3vcE/i7IyTObIqzDz/8EAAwd+5crvYEg0GIooh0Om10FywWJoa4O7KU1pgXu1EhtyKLQEYwWhH5qqqivb0dAFBfX8/VHs9FzliXtITFPH39AcJdnOnDf62mpPW06rUnFe5FzqwMNWaF+AOin386ESsUt5j66dOjHkHO18xoO25xzhnb1fdx3rEO62mbVsVZktVRck6zFEQBki6u4v0WxFk7q4Hj7+izcQwpC3PFVFU16iir63nXeDlrLsE7RQ7QmgsB1jauUvp90c9ZvAKZzrhW5oqZxRnv+xCblyhYENSSvqnX7/OjcRxfe4zaV4vPDt+AZlOYc/q5XxdXQVWBFReNXTOB831xd4XEmU1x1tTUBACYPn06V3sEQbA160ySJMRiMYiiyF187ClpjUyoeCWt0S3hAWQiValU8flE3d3dkCQJlZWVxs/zwmtzzvxMnFkcsKzEtAdaqJrzOIZSFvWw2Npfd2QDnIUHAKg+B5EzH/9htGyumFUB69OdqBBnx9Fut0ZFL8QPc7YnVKadH6td0lK9bMeav6PPuiNaGbIc69A7/7mQqqva6NKqxBWIqoq0IKC2jq/LxEZoWN1wEBPurCHAJM6sdEfUxUegyoUIvt+6gE13a8+9mBjgL85C1jeJ0t1pw55GvvuextBnq+LMr6+hkjp30r2DigwrPUpk/T7kc2GjcXeExJlNcebWgGWzTVaiHuZ5UKy7Ii/2lLRGJha9ktbIhIcbkTMWXbQSfW1tbQUANDQ0cLfHa5EzFvWwMtgUAKA71qEavg+0ErspaV1pV+wBANVG5Czdq9kzIPpRz3nPgXXYhIVzpKoq/GntmlXxjnrYbAgCXeDzdoqCupNmuUGJ7hSBc00ekOmOaCWNsF9vuuNG1zY74oylMsd8AdRxvlXbnU3n16PBvKMeAJBmaY0WImeKHg3mvWkFZIa1Wxn6zGqD4wH+M7PYXDEhVbw9yS73ImeZuWLWosFBfQ2V1fJu7Z9JZ7aSaSn3uSfwd0fGvDiz2+LbrRQ5wJ6zz8RZTU0Nd3vsttJ3a86Z3bRGtzr/eTFyxgZtWxGwbW1tANwRZ56rOQvpwsPqjrWeClJax7tbo2aPz0KOPgAku915wALmyFnx54ilWaYCfpSGOTtFAebIWonkyRBVrQZufL07Q58DqtU1pF+zencaglidUSWzOkoXdqxZA460FXHWrtkju1BHyTp+WknZY+lWMdGPWs7ijKVXW4kGv7xchaBvEtVMdEFQi9bFmRBz574ImCJnFjaJmDhLh/mfHybOrETOtm7SNxxK+d8XjQi+hU0ruV+GqKpICCLKKzlv5uu1qyFFQdrC/rkac2fjc3dlzIsz5sRare9yK0XOrk1MnPEWHoB3I2d2xRlvRz8Y1FqKWUkhBNyrEQTsrSEWORs3jvPWHuxFzhRFcW8NBW3uWOvNJcrH8X2ABGx2/lP0NMKKce7VnKkWWul37nTPsTbEmQUnhKUT9fkCmFDL1x67rfT9cc2migbOa0gX+H6LYpE5RX4XdqxZ5MxKilxSd6xVzm3iARjizIrwSBv1QgHUcE6U8dvotHfOLSrKFO0cTZjC/xwZ4szCNWMbDrzvi4C9oc+JDu2aSZzrKAHzXLHi7dm8wb3zY2foM9sAifkCmLU3X3uEgAAFgA8q0haumaoL/PGTKa0RIHFm27FmkTPeKXKAvZS0rq4uAN4UZ7wjZ3bTGt0SsHYF/khEzryS1mjncxaLxaCqKsrKyozPBC8ENqvGQlt2VVUR0FNBKjhHPQL6bqpVcabqO+jV412InPltRM5a9PolF6Iwgg2nKNWprbc+XwDjOYszv37NAmrxXckUSUEwLUMBUN3gTuTMb7FLmtrnTpolkJkrZkUMsRQwwYU0S9Zpz8rMrN5WzZ5EwI9ggG/Ug6VXW0lnltMKShQZMgQ0THShIYhxzYp/3rP6JTc2idjQZysdLVO6oJZL3BBnekMQC2mNvS16ZNGFDAefjbTGLRs0e9IhPxpqOGc4CAJSonaOkrHi17VP3/hsnE6RM4DEmW3H2s20Rjspadu3bwcATJo0ibs9dsRZMplEKpWC3+83oia8cJrWyFsM2V1DHR0dANxJRfWaOLNjj5vi1WcjnUgekOHTU0GqOA/HZa30/RbTGn36jnXtRBd2G1nkzEIaIdux5j0HDsi0WGbdF4uhT3eKBgIB/ulEocyQ5WIvm2TqIjdxHF97QiERMgT4AKhWNh30yNmEqfyvmZHWaEGcSS6NqwBgRM6sdP7rbmYpcvztYQLfSuQslM60ZQ8E+LtwkqjZZEVQh1LaNaue4EJqLKs9tNBZl33OlDIX7kN6RNdnQZwNdLK0T29Ezjp3aefHjcgiYGoqY6ERUEi/r0/flyJnAImzPSatcfPmzQD4d48E7IkzJjzq6uq4z6qxG8nzWuSMCerJkydztceuTV6LnLkqzoLWZ2alu5lTFEAl54B5sMReilwwzcSZGw1B9HQiK13JetxLSWNOkd+COOvepa3/lIvpTQFVKbpHyUB7povc/pw/9j4fkBJZoxsLUQ89zXLK3u7VC1lJkWOpuoFqzhOogYw4s1C/1Nfm3ixBVp/js+BYHzpJHxrukmMtGWuoOJsUSUFI0qPBbqRXs79zoPjPPRP4cOE+JLL7UKJ4e1J6qm4l52g5YKp9tfDs6G5h92l3olQsnTlV5LD3WI+EgKogLQiY3DjmZQkAEmeGE2s3rdEr4owNxZ42bRp3e+yIIdZcgve8LLM9dtMavRI5Y+Js6tSpXO2xa5ObDUG8GjmzsmMt9WY6blVxFmeZeiG16JS0tKQirH8Gqlx46BtpjRaiMKy5hBspaWz+jRWnqE9PSZNK+NvDhiwHFAWpIpf19o0ZsRgO8U8nYp32rHQjDKW08znFhXQixa8/O6wMe9drT3gPxwUy6cxW6pfYuAo35i8F2ABhC+JM0dNQJ7oQ6QS04d8AIMWK+5yxNNQB0Y/GBr5rGgBUPTVRiBf/uZf72IBlFz73+uBvf6p4e1g9VeV4FyJnJdaHPvfpNWduzRRLW2wEtGUD664ZgN8/5mUJABJn8Pl8EEURqqpaEh/M0XejDbqTqMfEiRO528O6NVo5P2yYsRvNJeymNba0tADgLz7sijMW7XRTnFkRsG42BPGqOBMszBUzBpuK/MWZLyAaRdRSkQ04emJAuexe+2EmzqzUejDH0Y2UNFFvFR9Iy1CLvG79LOrhwg5xJnKmolg/Ldamd7N0oYsckEknKlacpWISgvqOdX0Df3eAjWOQLIghod+9GjhWt2ip85+ekubGoPeAUS9koXFCPxMe7jjWKb3GS+or7nO/Y7PuWAcDKCvhL84UG+KM1VE2NLpQ46VHzgIpGWqRA+hZPRXvWmUA8PsFpPRNGaXIaGe83d2ZYsZ8wyLrFndu1dMsQ5TSyBjz4gywnnLV39+Pnp4ehEIhz9QLMTHkZqTKSiv9kYicWRFnqqpi165dAPgLWLNYLHbnqrW1Fa2trSgvL6e0xhy4Kc5YIb6VmrMUGyTqC6CilK89giBA0h+wySIfsF09KkoVLZ3I70YbdD3lyko6EZsD50bnP59fwIBeaF7srn5cr4ETKl1w9P2ZrmSJIsUQs8eNFt8AIOkp5MWKs7YmPRrsD7hSv6Tojr6VeYKsI6obbdmFoGaPaqFeiLVlD7qwpo3ImYVnKzs/bomzpB7tlPqL+4xt26Q333ApzVLVN2XEIiPmclyGmNI2HCa50M0yEDTfh4pbRyUJ7blX4ULkzO+D5ftiootFp13aJGLpzEXeh3pa3WvgsrtC4gzWHdmmpiYAQGNjI/d6KiDj7FuJerAaL6+Ioc7OTgBazRlv7Jyfvr4+DAwMoLS0lHv3SEEQLHfYXLNmDQBg9uzZ3IeGA94bQu29yJleiG9hx5qlyCWDfvh8/D/3zLFOJ4oT+F163UDK74cg8reHOVuCha5tLOrhxkPfJ2pRSwCQeov77Kf0qIfPBXsEQUDSp9mT6C3uHLEojFzqbiF+qsg0wvYd2nlMBt1x0lgbdCvdEQMJfdSAC44sS0W1MqMqqW/KlHMefQBYj5ypqgp/wr3B80AmcsZSAwuxa7N+T3ejuyYyaY1ikfehxE5tXEuHP+RKmqUmhvT7UJHnqDqhzdGt24dvczRAqzUd8FmzR+nU7ClpcKGuE+b5hsVds369cZPiQiOp3RUSZ7Bed2YWZ27a47XImRVx5tZ8Krv2NDc3AwAmTJjgiqBmNhV7zTZu3AgA2H///bnbAlhfQ7Iso6OjA4IguCKovSbO/KzmzII4i7W7N9gUAGSLjrUx8NmlVBBWiC8MFH/NfPp7gy44jj4f0OvXnIlkW3H3atYYwA17ACAe0M5RvKNIsdjNhtG6u4aK7bTXuYtF8lzasQ5YS7cCMl3bKl1oLmEnrVHuda8jqjFCQ1WLSpFLS0Cp5O6w3pS+ppX+4p6vnZs1MeRrCLlij8q6tMaLuw/FmzR72gJh1PF3P+D3aXXHQGaOYj5S/TKqpRRkCKjdi/85GiQWi9y08ndp4qx8Kn+xCAASqzUtMnKWbNaumVLjzhraHSFxhkzKlZ3ImRtYdWTj8Tj6+/sRCARcaVBiRwz19fUB4D/jzK49zNF3Iw0VsF7j5WZ3TbM9xa6hjo4OqKqK2tpa7jPFAOufMcDlOXDGfKHia85Yhyu3iqiNlLQiHetevZ7KrTz9TK2H9XlHbtQL+UTN4QKA+I54cT+ki7NwrTuObEJ3ZJNFOGkAILVrTpFS6c6ONSvELzatccdnush1IWUPMEfOiltDclJBSNZmeFW5IM7sDJ/392jXrH4q/2sWDAhI6OnMchFRhngSqGB1pm6MGgCQZpGzItMa4zs0x7p0cokr9igVQUgQ4O9PF9WFNL5ds6c9EEY1f3cIfp92bKC4+1D7Js2e7mAQogvNLnyi9UheuFezqWa6O+LMqFsssIYkSYWiqJBbNXvEenfs2R0hcQbrkbMdO3YA8I44M6c0uhkV8oo4s5PW6GYkz2xTsdfMze6agLU19Prrr+OEE04A4E5Ko9kez9Sc2aj16Nii7zZOcCkVhBVRF5nWOKBHaxSX8vStFuJLfRL8koKkIKKyxoVUXV9GnLHUpUIEOzTnqcQlxzEZZOKsyHvRLs0eaZw79hiRsyIjVa2fava45Vhn5ooVt6bjWwc0uwJhVFfwf5aJYWtpjaqqoiKmnaNJB/E/RwE/EGcpaUXULw0kgHFpbe2HJ7nkWOt1eUqRjr6/k33G3LHH5xfRGdAiKsnmZMH396/XOmk3BUtdE2ctTJxtK0KcfaKNXWor49xFymRPnHWwLrKJS1W/tobG7efONUsXkRq7rUVFw5dU+I5TsX6Vdl0D40mcMUicYfePnLmZ0gh4T5x5zR7A+jXzSuSso6MDJ554Ij7++GMA7oszz0TOQtZbWMc3a45j9X6cu4HoyCKrOSvOpoTuqMhV7ojFTK1HcU5av35+dgVLMK7GhU0iMeMU9W8cKPh+KSYhHEsiJYio2Mudhz6r1UoVKc7ENt2Zm+COGJL0nflUkY0KpGbNnsrpbouz4uzp06/rzmAp91mCgKlLa5HiLNmaREhW0OfzuzJqYFAzhyLEUDwF1DNx1ujOmo6XaPcTVpdUiIpO7ZqV7+vOfdEnavVjQCZlMR99n2piaHuoDDUuPO79PqA1oH1eWJQuH9tWaPb01bp3fqxEzpLtSZRLaQyIPkzYx6UIfqiwPU++AXRpbhkmprQ1NN6FDZDdlaK2XCORyG8AHAFgC4Aro9FoWv/+GQBuBpAG8H40Gr3BJTtdxW7NmRtd9gDrURi3xZmdVvpuiiFmj6IoUBSlqIYaXo2cuS3OCkUXFy5cOOjfY0ac2YicoVl7gMw83N2oR7HiTG7S7FHGuyQW9dQ7f28SqqoWjMr3b9SckJ3BMhxXzd8enw/YHNbuJ31r+gq+v39TRizuVcVfLAIZJyTdlX9dq6oKqEBAj+SJE9y5ZizNUuopMr1Jt6fCJXFmzBUrUOOVSKq4+W8qxi/tx0EA+mtKEAy4IPAtdmltW6udn9ZQiStiMeAH4syxLqLTnhY500STW+IsxsRZW2Fxlk4qqO/WIlU1M9yJDAX8QHOwBAfGezCwZQB1R9ZmfZ+SUrDh95vQ9nIbZACfllS5FjlrDeqRs+25I2eSpOIPv4uh7n+3YTyAlgb+zzFmD2uUlMqTXp1Iqli8CpihK6Jd4VKUlbgTnwlXa5/d9l3Zfcb+uIob/5SJpjcmtXt15AR31tDuSMErE4lE5gJojEajRwNYB+Bc08urARwZjUaPAtAQiUQi7pjpLk66NbppT7Fpe0ycudHIAcgILCZwisFNcSYIguGwMwe+EG6LMytr6N1330VzczP8fj8mTZo0KvZIkoSvfOUr+Pvf/z7o+26Js2Kj093d3XjggQewadMmI13XHXGmF+IXUYTf1Kbi3O+nUdcfhwLgkKNcqq0Qi+vWuPwTFV/7tYKeDZpj4JvkjqOPEj96fQGIaQWp9twbV7/+fjv+sP8KrLr6QwBa1KPeBT/EJwKbdHHW+3Ffzllnqa4UohetxLKT3wWgpTfVueMXob9Cc9LSO3JH8v61WEX4JBWvvpyAT1LQ4wtgogstvgEgoadZpnsKiEVFxYbfb8J+u/RnxyyXnCI9UoUCtUKLngN+9ziw6X09hXC2O2va6giNXbo466sscaVkIOAvPuqRSqu4+1EZ49Lafahkijv3of4y7V6ttidyjobpj6s4/7xO/HX6MoRlGS2BMGr3cicKU12ufYYBoH99f873rf3Jp9jwW63R1tN109BbXoIyF06RltaoR87ypDU++mA/9rpjOcanE9gUKse/xfH8jQEgijDSPhO7ckfybn8MOO1GGf+8Wsva2TDOHX8RABr0aUVtu7Lfh16JZr6enOxHjZxCTPSjehqlNTKKeUIcAeBl/esXAVwB4FEAiEaj20zvSwGwsA3tHYqdwZRMJrF48WKsWrUKwOinNS5evBjHH3+88W+3ImdsLhibE1YMTAy5lUZYX1+Pnp4etLe3523yoaoqNm7ciG9961sA4EqzC/NxC12zRx99FBdeeCEAIBwOGymavCm0ht5++2088cQTw77vxgBqsz2FPmOXX345nn322UHfc+NzxhqC+AtEztK9aSw+7D1c2a05BR2BEGrr3blmLK0x38BeVVWx4FrNYfqNHskLuuSk+USt9qdSTiO+NY7QuOGdtFo7FUz9x4eoljPrrClUiloXPvY+UevW2FcaQkV/Ev2bBlC+33BRseXPW9H6Ypvx753BUkx1Z88BPbXa75e35nYaL/mlgmu2rEX6Im1Try0QxswJ7tiTLCJy1tmr4pmD38GE7kz0ceIsd8SQqnelLFS3+NyraVzYuhVndG4HAFS5lDrsK9U+u74i5pxt2KFiy6tdKAeQrnXnMxYYVC+U+xypqoq9L1Ahbh/AWQC6ykuMFE3eKGE/+kU/ypISUu2prJ/72x5S8KU3V6NGTqHP58c9k2bi/Ep3otM1FcD2kBYC6/sklvN9u17WNhoqv3sA/v7yVBw4Ea4I6lAgI876Nw3kzCrY+VgTZisSNoYr8INpEfz9Bnd8D0EQ0MkieTtzRztvfUjFtbs+xbz+TnT5gli+7xRX7AGAhkna+ejvkPHeJyoiB2DQ+JntrZn3flvRxOKyygac78JImN2VYlZLDQDmlfcAGBZTjkQi8wE0RKPRlVleuxrA1QBw/fXX4+STT7ZvrUuw3aEdO3Zg4sSJePnll/G5z31ukNMfi8UwY8aMQT+nKIoRReNJMql9wNra2nIev7Ozc5AwA4Dq6mpX7JEkCYIgoKWlBVu3bs0rcNra2rB8+XJs2rQJgFYf5oZNTPStXbsWpaXZH+TPP/88rrnmmkHfi8fjrtjDzsmOHTtyCtIVK1YYwgwAvv/977tiCwAkEvqsl46OrL/DHHGsrKw0xHQwGHTFJnb83t7enMd/+OGHhwmzYDDoik2dPZpz5ivwGf7kvm7UdGcc75TPh507d3K1hcEiZ23NnWhqyh6JaWoXsU+8BF/s3IFZA90AALEh4co16+8vx/ZQGfZN9GHrkm3onzhcgHy0RBokzACg/qAAWlr4n6OuziCAOjTVlGPGQBIb/70R9RcM3/3d8Z/M7x4QfXi7dgKk+E648VHr0IdbS5tzr+tIKoBTujOvrSqrxaFiC5qaik8TL5ak3syhtyW3PY8/KWKGSZjdM/FA3JdoduX8SEFtbSQ6c6/Rrj4BB7zaiS92aa/HRD/E/VRX1nRMVhGCNkst3/GffSuE93/ajnPatOZfndPLXLEnkcpEztq2t0FuGi7Qlq8L4Hv3VaNvl4Ibmz8DAOyqcMceAKgsrURTsBT7J3qx5d2tKD9k8AZI34CAhx4ox19kbaPta/sdhX5fAF0dO9Htgm8tJ4P4/+2deXxU5dXHv3fW7PtCEgIh7MimPOIC1gXXqsWqKCpS962ur9VabbVafbW2FW21FZf6ulSxilq3uu/i9lgRUEQg7AKBkI2sk8y8fzx3ZhIIYh1n7oSc7+fjJzN3JuT43HPvfX7POc85S1JNxsuWT2pZu2Ztt76OoRD84V4/h61qpsXl5o5qs8BYXtDKunW1P7g9qZZFraeYWo+P3IZ2Vsxbgb9iewGbvsL87YLzinnj6C30L+iMyzUGUO83AYb6lT1f9+8t8lHS6OPI2rV0AjcNGIc7JT5zM4DC0k5qgM76dva2FxPfu30jFcXmnle9OR3I4vpBK9nt+fV0uCwmXxuf+Wsy820Lz99FnNUB4VywbGBL1w+VUv2B24Gf9vTLWut7gHvst9+9bnUCCUcL5s2bx9q1a7n44ov56U9/ylNPPRX5zpw5c7r9Tnp6etz2C4VFYTAY7PHk1dTUMHbs2O2O77bbbnGL5uXl5VFTU4Pb7d7h37j77rs5//zzI++9Xi8TJ06MS3SotLSU+fPn43K5erRn8+bN2wkzgOuuuy4+kRg7MpSXl7fDf//hhx+OvL7nnns4++yzf3A7woRTXH0+X4/2hPushW2ZPn06AEOHDo3L+ISjrx6PZ4f//jXXXLPdsTFjxjBw4MAf3J50T4C1LMazg2sM4Nn3Qrz7yGbCSyDV3hRml4/k7LL4RKg73WYimOHPoqxs+wjmmo0hfvTzDh5c9Q6ZndFJ3LjJJZSV/fDXWG5OiI/TcjiwfgOhJT0/SObf/C4W8GFmIV+k5WABx51ZRFnZD7+qX7wpBIRYOqCEEetqqHuigTGXjO5WnvqGuwPsvmQRFjBj+P60utyU9XdTXp7zg9sDECwLEAQ81W2UFJZEmxzbPP1OiCHVX0feP1Y4iCcKBnH3GE9c9lS1p5hVaH+Ht8fztWxtiGf//g0jgI8yC7hhwO54PTCgPD5RmHF7bKJ5DrTWhnZ4nf3mliD7Ni0D4POMPB6uHMF7R2WQF4dITMHAVkKAL9D5rfe5j2av5cRNqwB4qGgwg/Ytjcs11tkZYqvbLJRlhDJ6tOnUM4KwNcC9y+aR3Rmg3XJhHV9JWVl82sKU5jewzm/EWWpt6nY2PfFmiFFNJsL5cUExTW4v/Quhf//4zD2GNobY5A1Sm5ZCbkMrad+kk7dX9P99UVUI/a8NHIbZZ/bKfBPV2nNUSlyeZWVlUJAT5Iu0HCY3VOP+ykPZpO5/p3pjJ/3rvgRg8snllMep8EaYlhyz2NLxTc9+/chfgoy2z9nKof3YVJjDG9dZcZsvNg1spgbIC0QjeZMvLSL4toVlWaSkhiAUZMw7Jvlu3K0jGfiz+EXyeiPf5Y48DzjYfn0Y8H74A6VUJjAHOFdrXd3D7/YKpk2bBpi9QBdffDEATz/9dCQl7NNPP+Wkk07q9jsTJkyImz11dXUA3HDDDfzxj3+kvLycxx9/PPL5e++9F3m9xx57RF6PGjUqbjYNHz4cgI8++qjHz5966qluwgxg8ODBcUvbC6dwhvfbbcvll1/e4/F43Yy+S1rjq6++CsB9990XV2EG0QWH6uqeL8tweuGUKVM4/vjoNtJ49MmD75bWGOwhxfCUU06Jjz1281fPDvZUAJx2RSsH1pvm5ZcP2pPTh+3Hun49b0b/IWjz21GYHWzqvu6BEOO31nQTZo8UVjKgND4T64Js+CItB4AtH9Zut/+ko7mDgF3S3vWjYoZdUkHNIRUcuW98UlNS7PmNLiwmrSKVpqVNrJvTPUK34M9rcAOr/BnUe3y0udzkxWebKQCeNDfrfalYwRCNi7dPubr3uRBDWkzU+Hfl43ikaAhtLndchBlAS6rxoc6NPe89efFDqGw1dtYVZ7HvaHj25vilEo3azV7/beqgpYdy+iu+CfHks+2UtrfQ6XFx7Ft78O4z8RFmAF470ukPdOxwP9XFdwTJXWWiHq/klPJ4YSUjK+JzjbndFpvt/ULNa3s+Z00tMKaplmw7Qr3q1/tw8a9z4mIPQL+8IMvtvZ31/6knFDK9qMJ8sxnGNJvxOemiHG4+x+KDv8XPh3IzAcvik0KTC7zy7lXdPu/ohD0bzTxgQXpUtB20R/xsqiyFjzLNM3btY+u286XTZtbiCwVZ6c+gZGB8egh2JViYSsCyCKxv7bG3WEsbjGypA+An5+Sy6TkXYwbHb3y8Rea6z+vonma53mwjp7U9RGGgFX9DG948LwNOi09xvd7MTu84Wuv5wEal1LvAbsBcpdRs++NLgUHAnUqpt5RS+8fL0HgS7vHUVfRAtKLe9ddfHzl2+eWXc+KJJ3LbbbfFzZ7XX3898vqKK65g7dq1TJ8+naVLlwImOhOmsrKSZcuW8fzzz3cTaj80++67LwBvvvkm8+bN4/jjj2fBggWRz4877rjtfieeAnZn4ixcGj5R7EycLVmyhDfeeIPMzEyOOuqouNuzs32CYZHk8/lwu908+eSTnH/++XFLO97ZHriuD7cLLriAadOmMWrUKM4666y42ONPM7c+Xyi4w0naIXXRif8xMzLISodzfxIXcwBoDZcf3kHlv+x0OLLWRNc+HjWQaeOn8M2hg0lPjc9DtqIfrPZn0JTio3VtK1/ftKzbWC16rxlfKMgaXxrDTi3l5nNdvHmHi6z0+Ngz3F5YXbjGxeCrhgCwfFYVoS4Tx3FbTWLHc3nl9LeDj+OHxMUcwAjGL9LMhHDTG9vfi3wNrexmp582lBiVGK/iJAD1OSbFO7i65z1w7W0hftRgFhyOnpnF+391cfhe8ZukpeUbRZ3e2cH7C7f/vLYRhtniNX1MFsMHucmPU2VNMNd9u+XCHQwRbA1S2xiic5vCMn+ZC8NaTDTrfXsx76D4PVqpT7XbQ+ygLPuwchhl+1Dqzyq55NIMvJ74jVFpQSdf2osym9/ewmH/E2T8GdFxam8LMtEWQ/2PKOSqGRb9i+JnT0k+WBY8llaOy+9iw7MbaVwcTcttD8BIe3xyD4hmNewzOm4mUZIP72cVE8z0Uv9ZA8/f3S2hjMKVRoV8mpGPJ47nKkxurotv7KIpW5dsf+17PV3GaK/4RFy7/b18L1iQH2znH1dHr6919lbgtgAMt6+xnD2y47I3sLfznZaDtNZXaK3301qforVu11qfax//nda6TGt9gP3f2/E1Nz7sKG3q669NOkp4ogswffp05syZE1fh0VN6F8Dnn38ORPekAVx22WUMHjyYI488Mm72QFSc3XXXXUyaNIm5c+dy1113bfe9rvvRwr8TD3YmzrpWrvzb3/4GwHnnnRc3e8LiY0cVLd944w0AfvKTn1BcHJ+qTV3p18+sMoYF/bZ0FWdgxPVf//rXuEc6ly5d2mOELGyPx+Phrrvu4p///CeLFi2KW0EZj9dFq126fvWKnjfiD7UfHn8vHsr0o7xsed7it2fErzWkK9tcO5vX9izOiq12Jmw1D/38CdnUvOjmzTvi91AbVAJBy+LR4SMBI4TWPLw28nlzrRm3rW4vJx4UNzMi5GRaDCqBtnaoHdePlP4pNK9soebd6MSoss1M2vx75TPvrxb/cwL87znxG6O9R1nMyzLVRr68fSU3zGpha3N0MjJo3WZ8oSDWhHz+869UrjsNXvh9/OxJHeCl3XLBplbat2wfpbbWN1MUaGVrio8p58WpSkoXfAXmvpjb0cYhlwX517vdhVCgEyY3bASgbP/4TxpLC6J9xX55Wzt5R4Y45XfdbUrt7GBAWxNBl8Xcf2TxxUPxFR8UGnHWuKrnyn/9C6PibPCUOCp7m8ElHSxNzabO76dldQtb3qphYVU06mGtbyE92EFrTgrpg+Nf+jwtxWJof6h2pdB+oBHLy/5UFfm8vSVIaXsLQQv+eEsGUybAL0+GVH98BWOby82jKWbFaP4tK5i/NOpHFW0mOt1eGf/zBZCfZVI6AWo/qdvuc299K/0CrZDmJnNEfLJjumJ5LdMkPQhTh7VylD0VXGdP19rau4izCYkZo96GNKHG9M3qqXJdeGIbnujvvffeJKJbwFlnncUzzzyz3fGwEAmLszFjxsRVAHVljz322O7//Z577mH16tXdJtuzZs3ipptuYubMmXGLekD0nOxInIUjNOeeey7nnXceq1at4vbbb4+bPePGjQPo8byBKSgD3YV+PBk0aBAej4evv/6a5557brvPtxVn8WbMmDGUlZWxbt26HqOaYZ9OSYmW0o33alpbhkkneuUV08dr2xX0XK/ZvLwiJYPi3O7VpuJBfn/z7y/6vL3HaF7qV2Z2FLAsTv5NESl+K65jVFlqykb/q7OIYb83KdNfXfs1gQYjytqbzXWfkuWO+9iE2X2o+fnoG+A73LSh2PiCmdyHQiHS7JTPh271U15s8acLXRTmxM+2aQfCJxkFzE/Pw7M1gGfWIu59NnruCjaZxRrvnvn4fUbc7zUqfvZUlHbylT1Jq3lvy3afe9cY8do+KAsrAefMl+sjkOYlLdhJXkcbp9wYoqMjOj7tARjXZOwsOTb+98bKUmi2F9Ke+Jd5Rjz+Rvfv7NO8CReQOyGbAeUeRlXEd5xc5UbgtFU19XjdexvbGNZST8htUTI5/gJ2UL8OcFs8mTMAgJnVy7BCITbbNaQ835hnWWu/+E/yw+xp12I7s6qCgGXxzTMbaF5liia1rWnBTYj69FTSsz28NsvFLefFd2pbVmB84vm8clotFxO21vDO09FoXnmbiV7dfGNixqggGxbZKZ0rnt5+K0N+tbkPuUdkJ+S6B0gfYvx669Imwtu019qmmciZsUnEWc+IOLOZNm0aDz/8MDfffDM33ngjEI2ctbS0RL6TCCzLYurUqWitOe200yL7k7YVZ5WVlQmxB0xE4/nnn2fUqFHdSvbPnTu320T/wgsv5Oqrr+bBBx+M68Q/bMODDz7Y4+dhm2bMmAHAgAED8Pu3r6j0Q3HssccCcO+99/L6669v95BNtBgqKiri6quvBuDSSy/lvvvuo6kpmu4Q9qFE2WNZFpMnTwZMBHPb8QnbE89ztC0eu0T05x+1MumCEGNPD9HaZV9MusuIjwlj3PTLj/8DbfcJ5m+7atrQX5leQl1x15oxqtt/APn58YlwdsXvsxg50FRDWzq6P5vKcuho7KD63+YJ27HViNcOb/xtCbP7UHMefv8oXPRqDgAb/72JUDBEoD2EPxQkCGTlJcamzDSLOy5x8cey0dS6faZM9VPRimPpTeacecvj1ItuGypLOpmfYdLe332ohoambX3IpM4FChNjD4CvwkzSBrQ10dQCL30c/aytsYPiQCudLouMYfGPwliWRVuuKRhRHGixj0FbuxmnUCjEbo1mP1XJUfGPLALklfuod3uhuZOnn2jhpY+6n7PSDbW4Ae+EPLzZ8d+/lOKD/cbCC3nlbPb4GdLayKSGaqrtwoduu3F5R2F82gv0xIkH2U2NvSm8n1WMFYK1T5n03A47QtySmphnGcDMw83PRo+Pl3LNfqmWZ0xxi1AoFCmEUTQsMX27pkyw+CizkDbLResnW5gxs/se4ZxaI2S9lYkT1OHrufHLrfQvNOdv3eZoamx4L272HiLOekLEWRdmzJjBVVddxe677w5ExVm4LHnXVf1EMGHCBB544IFICf9Nm0zCbniin8iJLEBxcTFffPEFmzZt4qqrrgLg3XffdWRiXV5u0gk6Ojq6VdUMk2gx1LUYy8EHH0xmZib33HNP5Fii7QE4+uijAaiqquLss8/uVuzDCR/ab7/9AFMVdcqUKSxatCjyWfgaS6Q9aaXmel78aSsfLwoSWFzPv96JPtA8HUZ8nH5MYib6BePN//uwlnomnhNEnRWkuUtD6lCbscdKTZwYmjTG/PzxlSFeajfR6s8vWEiwI0igydgT9CbuMTJ+aPR1uCF16zetbH67hpYGY0+by53QPQxnHQW77+Xn7/2McWWfR/cqegLGJl9mYs7ZxOHtfJZuzlPonQ0Mn9LEY691meyH+42lxqfnUk8M3M/stZtZXgfACdeFIhPH9rVmol+fmYYrQX7k7W9ERWm7mbCGQlBln7JARzTqkTU6jpVkurDHUIuv7WjnXTdu4YgrQsxbGD1n+XYrD9+IxNgDMPMwi3aXmzmFpiL1jOplVG8xNll2wYlQRvyFYpij9oULjjGv37fTiFf931pCnSE6GkwEtD0lcfYMKLZ45y8W44fCbmeaCP6A5dV0NHXQurWTlFCQgGXhzUzMdXbCgXDgfl6eyzPzouFvLee1Lo2ecxuMD/krErcoE46I1X5YS7j4cDit0VPTahbS8vz4chM3J+pNiDjrgWHDhgHRtMZw5Cw1NXErRV0JV97bNnKWaHHWlXAVvQULFjgysVZK4bL3DB133HEcccQR3T5PtBiyLKtbGmdTUxPnnnsuX331lSP2AAwZsn0lhPC+Oyfs6drj7c0332TMmDGRFEcnfHrwZDO5//GWtdy+/CNur/qYpju/inzu6TCRM296YibW/go/oTw/BR1tvPDla/z+pdf516lRe7CbU1spiRNnpxwSFTkfZEUjCS2rWuhotsWZL3H2qOHR1w0eH5+lmyhR09Im2mxx1u5KnD1g9sS8fruLx18uphOL0s111K4y98SwOPNmJMamwpwgRXtlMT89j8zODm6r+pjf/m5rJGXXajH2uNISN0b5PzJicfSGaqxQiJY2WGHXKeoIp8j6EycWx/7IrOgPbI1W1wxH89oDUdGWHqdG2Nty/AHwnwwzRofVrsMVCnHbP6PiLC88sa6Mf2QxzEkHw5lHwiHX9Kc10095ezNb55u8RlezEUNWZuLEkGVZ3HmZxZonLdIPKKTW4yOwtoXmlc2R6raBBIozgP3GWXx2v4uLrsykKjWT7I4Aa1/cRHO1sWerx5uwRSK32+Kf11s8WVBBk8vDhKYa5v6lJvJ5eov9fC1L3Bw2f3IeWFDzTg2lHjPfePhlaGkLkbbJ+HSoLHE+3dsQcdYDFRUVeDweVq9eTUtLi2ORszDbFr9IdEpaTwwfPhyPx8Py5csjDY0TOT6WZXUrnPLSSy+xcGG0HJgT4uO2225j9uzZvPXWW5FjI0eOdMyenJwcjjnmmG5FPmbPnk1DQ4Mj9uTm5rJ48eJuxx599FGg5z1n8ab/McXggpEt9VTaG7hzP90Q+dzTaUc90hNzm7RcFiMvrYj+fUJkv7Ga1g12ASA7cuZOTdxte/JYi1kXWpx2BKQNz2B+WAxVNdPpgDjrl28x/+8WVXMsjv0REXuaV7XQ2mhHzuJU1GZnFJR4qcrPxQ0suMOkOPns6Ks/K3Hi408/d3Fj+Tg+Tc8nuzPA6VWLIyvWVmviI2cFBxbgzfMSWLaVe7Zo8gKtfLrEfNax1djTkUBxNvxgs6K/r6eeM+06Wgur7EheB2TYJet9+Ym5N1aUWBz2y1Ia3F5GN9cxo3oZ86JJBaS0GXv8BYm7V6f6Le77pYvLTnJTO9YUsMp8aSUArmZzzqyMxJ0zMM/8/kUWe4xwUeU3C2tblzQRtAV+IIE+3RWXy8XSIiOuN362lZaaqDhLJCl+i4Z5KQy5yBS4q3irirXVxq9Twz6UnzibUkpSKDy4gGB7iOy50cJkdz0FKbV2SnFZ4iJ5vQ0RZz3g8XgiDaarqqoi4kwiZ1G8Xm+kWXY43TLR9lx00UVMmTIl8n7s2LG8/PLLgDMCNjMzk3POOYf999+/W0XG2tpaR8QQmH59HR0dTJ06NXJsy5YtjtkzYsQIqqqqIn3zqqpM1S0nfDpjSDqVP68AoLHIpHz6WwLUL7CLONgTa1+Coh4AA88op3xmf8rPr2BlirFp1fNmj5dlizNXAtMaAS49weKBX7mYdiCss8s1dxVnIX9i7Rk3xGJQqcXpP7bYYNvTsqqFdnsPXLtD4gxg+UhT1KJpmZ2KFhFnibNp4iiL3/7cy+LpY2j1uBnbXMuqz81kyBUW+AmKBgO4/S7Gzx6Lr8BH6YY6/rBCs2aVmVB32oK6M4E+lDU2C3e6m8zNTRybZzZSrbELFbRu7cQbChGwLNwJjFBfMNPHuHvHgtvixM0rqVhRTf1WM7H2B8xY+bKdER+NB5lUufTlZqzcduTMnYD9bz0xaYzFqhQTcalf2EDQTmvsSHXGHoBmuzhK/aJGmjcZe8KFZxLN6Esr6HC7GNtUy2dvmftQeruxKbUgsTaNvGE4ltdiy5PruGlSHQCLVoTwhn0oT1Iad4SIsx0Qbla8fv36SFqj05GzsAhKBnEGRMqcOyXOCgsLee2113j77WgHh3BhDqfER5iXXnop8nrlypWO23PLLbdEXjspFsFUkpw927RK1NokxjuRGgsw/Nph7PPviez94kTeC+9l+Icp6OC1q5D6EyjO3KluxszajTE3DqdqoLFn5UPGHqs9GPmOE4wbbEV66TQta6LTTpEjweIszIRhsMFn7snNq5sjaY0Bj3OPNVepGZ/AeuPPPjv6mpKgPWdhrjzZ4tFb/VT3N5HFzQ+sNPaFBX5aYif6hQcVsN97+9LaL51+gRY63jEVNoP2/qXOBEbO3CluSo81rUa4SnP52kWs22CurVa7PUSrJ/FCaOTUAkZeb7ZU/GzjMr5aZcRZii3O/LnOTPZTKtJodrnxNQdo29yOx46+uhO0n2pb9h0Ni+0+bDXvb4HN5lprz3RwPjTS2NP6WS0ta8x8sTHFGXu8WR42jDH+vWXOGgDS7erVqYWJfd5nDMug8iIT6Bj78mKsUIiaBvDZ4swr4myHiDjbAV2b+CZbWqNTBUG2JSzOwnY5NT5dS/w3N5v9Ak6LofHjxzNp0iQAGhsbHbdnxIgRHHDAAYCzkbMwAwaYMs3Lli1j8eLFjqQ1gkklzJ2Yy8BBXlYMMQ+06q9aCIVC0Yl1gtIat6V2slkgCqwwq5+udmOPJ4H7hboycSR8449GzkJ2SloogRGGrpQUWISKTDZD08qWSIGSgIORM3+5sce1vplQKITfLu2fku2MTXV7meeY9am5R7vb7Il1AiNnYfyFfqwjTGW7og/WEAqFIuIsmJLYif7I341g4JnluFJdHFS/ngkLVxIKhWitc06cAQw8ewCtKV7K25tY84wJ56V22D6U44xNWekWK/12ZOg/9aRuNfdqT74z84/8bAtGm6yd2vdr8X1ufLulwLkUuSN+ksZ6byqe5g423rkcgJp05+zJPtw8yxoWNBAMBEnr7KATSM1PvA8N+Z9KUspScK3ayl6Nm6ipB2+zPYdNYJplb0PE2Q4Ii7NVq1Y5XhAkPT2d1NRUWlpaaGhoSJrIWbj6X1icOWVPWlradq+dFh8QFa/JIM6ASBpqbW2t4z5UUVEReb1w4ULH7QHIqDDCsGVtK6FACBemp5gvgXu8ulJU6afVcuFq7iBQH8AVCIszZ+wpK4S6XJNOVPNWDd4qs9c0kOfMfRFg6EgvW10egk2dtFYZEdvudWYSC5BT7qfO7cXd0kHTsma8oRCdgN8hgZ86yaTEe2pbCXYE8YTFWQKjwV0p/mkJ7ZaLouoGWr9pJWgL6lCCo8GeTA+73TqK8feOBeDIjavZtDZAW70ZnzaHfMjlcbFhbyNgW98y0cWwOHNiYg2QmQYL7b2dK17cTEajWaz2ljqzGAuwzz4+ltvVWt0N5tkaKHDuPjS6MlrUpcOOmtdlOifOjjrFjE1JfSMr/mMWrLd4/Ph9iatiG8ad6mbQ+WYf3PRNVXy5ClyNJnLWb5BEznaEiLMdMHjwYAB+85vf8MknnwDdRUAisSyLgQONcy9ZsiQpCoKA82mNXXnvvfcAyMoy5YaTIboYtiXZxNm0adMiTde9DuXFd61uWVdXF+nB5tQCCEDeEPO3A2uaCdSah0eb5cbn0OJecZ6LDT47MrS8GXfApF55HIh6gDlnwaLo+UlZafbmOTkpGlBsRfbmbbnVVLZsSHdu0lhRYrHELou+6XVzX2xye0lxYFIEUN7fTY3HhysYovWbtmjUo9ChRZnhPpbZk+rmFS2Emsx1FnSomEPRIYVsTkslqzPA8qeqabcjZ+0+5wR+yr5GULvWmtRhn12W3SmB7/NGC+/UPLwaVyjEZo8fn0P3IYCyQos/l46MvG92uenIc+66H1gMc4oqaXBHHxari+PfMHxHpJemUJOdTlqwk8X3mz4R631p+B16lpWf2h9cUNm6ldaGTrJb7T5wIs52iIizHXDCCSdsdyxcYt8Jwul6kydPToooAySXOAv3pqurqwMkctYTJ5xwQqRy44oVKwAoLS11zJ6cnBzARPJWrlwJRNMdnWDM7n7W+tJI6exk/bOmauMmbwoJ7LHcjX75sMpOJ2r8shFvu5k4Jqq0f0/k51g8a/fSCdNZ7Jw4619ksTS1e/+negdXrIeUwZI0I84WX2NKEm70puBUMK+8KOpDNW/XkN7STicW3iJn7tX98mBjijk/1YuacG8xUYbOXGcm1i6Pi6XDTJbMli+aaK8x9+lWp1ZkgLI9MggCmZu3RgrL1Hj8+LzOCPyiHFic1r1R8PKUTMcm+gDFubAsNZunZkyiflwRt5WNxuvQ+AD4fRYZZX7OGjqJtv1K+GdBBS05zt0XATYPM9thXHPNs369PxWnMr49GR4yR2XiJsSo5jr6Bex2FQnsu9bbEHG2AwoKCqipqeHUU08F4PTTT3dUfBx44IGAER233347QLeKgE4QFh8PP/ww4GzUIzU1FbfbTWtrK21tbXTYqSAeh/YOQPKJs8MOO4wPP/yw27Fx48Y5ZE00kldXV8cHH3wA9NybLVGccggsSjM2fXmVicJs9KU6NrEuzo02Wm5Y2Ehmk11kwsF0ooJsmF0ygs7LRhN0WzxQNARPunPXWFkB/KNwcLdjW3Kd650zuAw+ySjsdmyDPw2Xy5mJY3EefJJp7Fl4qekpuNnrx+d35tHvclm4hhifXvRCLZ4a49Md+c75tDXQiNfWxQ0EvjH2NGY4Z8+QYR6WpWThDoZY+5gpBuTkfWj3YRZpWW6mD9+fuhEFtLtdPJs/wLGMAjB+DbAslMbyn43ng6wiR+0BGFRiouQP7TaaB4uH4mDwFYCGPUu6vV+SlZuwvms9UXSIuQ/dUr8QbyiEr8iHJ8HtGHoTIs6+hby8PB566CHa29u5//77HbXlzjvv3O7YxIkTHbAkyj777NPt/V577eWQJSblKpxGGN4D5/P5HL0ZJZs4A1M8ZcGCBZSWlrL//vtHSto7QThy9sILLzB37lzAeR9qsEvqh9ngS8XtdsaHBpVAVarxoVX3rSYl0EGzy40/z7lZSL4dpNq8RynzbjyYJwsHObaiD2YfXIvbw19OPBBreBafZBSwrizPMXtyM2F9Tia/7z8mcqwqM/tbfiO+FObAx5kF3Y4tTstxbKIPUH6I2ZuTPm896WtMamyo0LmFPf94syCT+uUWAitMv8OtWc7ZM7AYFmYbH1452/TLq/alOibwAU4+GBo9Pk5x786xww9ifka+o5GzclPIlqVrob3DVLV0KsMhTIVdAPSZd81Pp8Wif3gWl1ROZEFhIR9lFLB+WJGj9vQ7yvz9cNPw7LFZ3/b1Po+Is++A15u4Tu87IiMjg1mzZkXel5SUMHToUActMtHEcGQRomXsnSI7297rYadZOi2EwpGhDRs2JI04AxgzZgzr1q3jrbfe6tagOtGExyfcPDw7O9tRcQawekS/bu/nFfTbwTfjz8B+UJ3X/QHW6nKTneGsGAJYuSFEq3FpRydpZbbuqKr34Lp9b347cHdH05ssy6IkH97J7ses0lG8klNK28H9HbMn1W/RlJPGX0pG4i30sSEnk7n5Ax1d1a/cp/sCSL3bC3nOZaX0q/Szzt7b2fnqegC2OpiS5vFYVI/oPpH+Ksu5/UsAanj0mgrZc6FK5zLiGVIGWenwzWb42lSLd3SRCODMI7v//QxnsxrJzzapn78qGs8NA3encrCzUaqscVmUHBt9npYc49yztTcg4qwXcemllxIMBpkzZw6fffaZ44LR7XZz//33s+eeezJ16lRH9+RBtADH+++/D0TFmlOMHGk2LN99992RgiXJIM6ShT333LPb+8suu8whS6Lk9fdx5G6H8NDJ+/E/gyayxkEfsiyLUeN83F46KnJsTkElAx18po2pNPecG/4PZpmaMvRzLlAVEYvrNoPdZ9XxFfRcE+zktdwy7ijbjV+f7eykqDAHXsrrz6FF+3Nm2d5UpWbhd/A2NG6oxa39RwPQicVjhZVkpDn3LNt/PLyaUxZ532a5qB/krBjaa2qOiXqk5TI/PY+Vg5yNepxyCNx1WfdzlJfl3DlzuSyOsNfxHn/D/HRaDO03zuKBX0XHZMoEZ+dn296Xj5nsrD2WZbH7veM4aOH+TH53X8qmO6juewGS8NnLsCyLE0880WkzIni9Xj7++GOnzQCi1TQvvPBCAPr3d27FGkyvs21xqjpiMjJkyBDOOOMM1q9fzy9+8Qv23Xdfp01i8hiLuW+HePzzFEhLYY+ynf9OPDnlEIuffVLG6zklDG5tpLE0i1S/cw9Z1UMWbEXJ9scSRU6GWUFvaIKf/MqkN5XkO2cPwNlHWXy6xNjyzl8s1AhnJ0X7joaqb7ofGznQGVvAVNp7O7uEt7OjjnNphXP2DOlvccQfBnH1tVkcUL+BeVlFTB3l7H36mpnwwofZ/OoL08PzoPKd/EKc8fssLvgpfPRliIdehmtPc9YegD+cb/HCByG2mk5H7OHs2jAAh3fZaTJ9inN2ABy6J1x5EhTmWFwyDbweZ+9DYVJKU0hxcN90b0EiZ8Iuw6BBg7q9X7JkiUOWGPr168dDDz3U7Vi4RYNguP/++3nxxRc56KCDHGti3pWTD+n+fqzDp+vUw2BMJQQtF0tTsxk31NkH7NByi5Rtoi6VDoozy7K48qTuYzJyoLNjdO5Ui7oXLTY/Z7HfOOcnRPdcYXUTrNOnQFqKs3Z9/kD3vz/e2Qx9TjvSYtKMfO4o241PMgs5RDlrj2VZTDsgOkaDHLzGuvLgNS5C77i4/gznp47lxRa3nGvGqKwQJji3fTpCv3yLf//B4q0/WxTmOHuN+X0Wvz/fxS9OspJGmAnfHYmcCbsMs2bN4tBDD+XDDz9k9uzZXHPNNU6bxKmnnspzzz3HE088wfjx4x1PtRS+naJci7oXIefHJvJx+ETnU0FevQ1++0CIf38E1/7M+YfsV49YPPs+rNsUoijXoqTAWZuumWlSnCacbc7Zcfs7ag6Ao/sCtyXVb7HmSQiFIAR4HE77BBg72OLrf8CUy0KcdZTlaIocmOvszsvMJD8zDSaOcv78TZ0MV8025+2S4523Jxm54KcwrNxi9CAczSjoyuF7JYcdQu/GCoVCifx7Cf1jwg/HunXrKCtzOMfrOxIKhVi4cCEjR45MWBrht43Pxo0beeCBB5gxY4bjqZbCd+P9hSHmLzUP/0Tt7exN15iQnIgP7VosWR2iKBdyMxM34RcfEmJFfOg7s8MLWyJnwi6HZVmMHTvWaTMiFBcXc9VVVzlthvBfMGmMxaQxO/+eIAhCvBg+QKIwgtAXcT5xWBAEQRAEQRAEQRBxJgiCIAiCIAiCkAyIOBMEQRAEQRAEQUgCRJwJgiAIgiAIgiAkASLOBEEQBEEQBEEQkgARZ4IgCIIgCIIgCEmAiDNBEARBEARBEIQkQMSZIAiCIAiCIAhCEiDiTBAEQRAEQRAEIQkQcSYIgiAIgiAIgpAEWKFQyGkbBEEQBEEQBEEQ+jwSORMEQRAEQRAEQUgCRJwJgiAIgiAIgiAkASLOBEEQBEEQBEEQkgARZ4IgCIIgCIIgCEmAiDNBEARBEARBEIQkQMSZIAiCIAiCIAhCEiDiTBAEIcEopSynbRAEoW8j9yEhFpRSmU7bsKvicdoAITlQSg0DhgDvaq0bnbYn2VBKDdZaL7dfW1praRAo/FcopUYCZwC/01o3OG2P0PuQ+7QQK0qpEcDRwBxgHSDPMuG/wvahm4AXgL/LnOiHRyJnAkqpmcBjwBTgZqXUEIdNShqUUpZS6hpgqVLqOvuwrDYK3xmllFspdS3wMPCaCDPh+yD3aSEWlFIupdSVwINABXAF0M9Ro4RehVLKo5S6GrgdyAB+BCDC7IdHxJkAkAVcqLW+HFgDzFRKlTlsU7LgBT4BxgEHK6VKtdZBpZRcO8J3JRfzILsLcCulZiilRjlsk9D7kPu0EAu5wJfAflrrn2MWGQudNUnoZQwEVgNHaq0PA9KUUhXOmrRrImmNfRCl1KHATGAe8HegBBgGfAC8DvwB+AiT8tDnUEodDpyMGY+Htdav2Mf/DVwPnI2kggjfwjY+9ADwHHAV0AG8DfxeKfVbrfWnzlkpJDO2D50EfAjcD5QBDch9WviOKKUOA8ZprW/VWtcAz9vHxwEHAx1KqacxabLyTBO2YxsfWg6Et3dUAEuBoIPm7bLI6n8fQyl1CXAZ8BAwCLgR+BvwY6XURcC5QC1GsPW5DcNKqRTgZ8CjmJSPm8JjoLX+X2CkUmqC1jqklJLFDWE7tvGhEuAGYD7wK631VK31bcBrmPS0PneNCTuniw89hhFlvwKeAA6X+7TwXVBKHY1ZTNxfKXWyfcxSSnmB3TDzgK+AQ4FixwwVkpYd+JAbQGu9ElCYeSSSTfTDIoPZ93gdON2OBt0MZGmt1wK/BrZgJgO/AfKgT+YSDwVatNYvYYRrFmZCFJ78/AYj2C4AxjtjopDkdPWh3wFFwCSt9YIuD7D3MdHqvniNCTunqw9dD1QCaZj7Ty1ynxZ2jsYsAF0GTFVKZWmtQ1rrgNb6Udu3XsGkNm5y0lAhaenJhzptgQ9mAfJoAK21RNB+QESc9QG6rqpqrRdprTeEPwJa7eNLtdb/wOSh343JTe8zdImOLQRKlFJHa60DwFPA8V0mPx7MJtjR9LExEr6dnfjQNPtrLruww98wAk0QIuzEh07XWi/XWj9CH71PCzuniw+t11o3ASswfvJz+3OX/fMkzLaGVYAl0VchzM58iGgqYwtQrZRKTbyVuzZWKCQLbrsiSqm9gRx7dSx8sbnsVQ/LTss7Ehiktb5TKZWP2c9wFvDxrr4Xxh6fmZhywp9rreuVUmla62al1EHANVrrcNrZ88CftNZvKqWOAVZqrec7ZbuQHHwPH7oFE50+HXhMa/0fp2wXkoPv4UN/AD4FTgH0rn6fFnbODnzIa4v68HeGYyKtl2Air0XAOcC/tNafO2C2kET8lz50KdCotW5TSo0G6rXWa5ywe1dGxNkuiFLqXExK3j8xBS0+7PJZPyBTa71UKfVzoBQTQS3QWp/tiMEJxi6JfwAwF1PBKqS1vtH+rBRoBm4FlgD/h+nn8Set9VIn7BWSj+/hQ/8LhDdUC8L3vQ/9UWu9zAl7heRjJz4Uedbb738JXAS8rLU+0xmLhWTje/jQhcDrWuvTHDG4jyBpjbsmLwOTgbcApZTKgEiVxg+A8famzkOBo4D1fUWY2bwMHKe1vhMzRvUQqUr0ESbd83qgE9ObaoMIM2Eb/lsfWi/CTNiG73MfEmEmdOXbfOgD7H3RSqk9MXuH7hJhJmzDf+tDfxVhFn+k2twugFLqTOCnwPla6zV2FR2UUnnAEGB/TCf3/wB7aa2r7c8fBd7RWq93xPAE0WV8zrOLn3zcZfNqJaZ3B5h0oQnh8QFuV0rdrbVuTazFQrIhPiTEiviQECv/pQ/t1cWHvgFO0FrXJdJeIfkQH+odSOSsl6OUygYOwTRLPkAp5evy8X8wF1SlvWGzXmtdbZdpRmv9eB8QZl3H50CllE93byI9AHjJfh2wx8fbZUOsTIj6OOJDQqyIDwmx8j19yAegtV4nk2pBfKj3IOKsF2MX9qjXWk/H9L05CBMpA0Br3Qa8CORjqn39Winl6isP+p2Nj00LUKiUuhb4uf07ASlNLYD4kBA74kNCrMTgQ+2JtlVITsSHehciznoZSqmB9k+3XXExvLK6EvgC04sio8uv7A5MBT4Bfqd38V4U33V87NUiP6Y65ZWYlgK3ymRIEB8SYkV8SIgV8SEhVsSHei9SrbGXoJRKw1TuKsf03QoopTxa644u3ykGfovpf2MBy4F+QLPWel3irU4c32N83EAVJvf6XdloL4gPCbEiPiTEiviQECviQ70fiZz1ErTWzUA7kInpk4TWukMpNVQpdb5SKl9rvRFYDTwLXI5dAnVXF2bwvcbnUiBNa/2A3IgEEB8SYkd8SIgV8SEhVsSHej8SOUtS7BBzqta6zt6QGQDOBxYAF2PEVwi4HXhGa/2IXfTjCeB5rfXdzlieGGR8hFgRHxJiRXxIiBXxISFWxId2PUScJSFKqZMwTaT/rbW+sMvxP2N6UmQBw4DHgKptQtXdQte7IjI+QqyIDwmxIj4kxIr4kBAr4kO7JpLWmGQoU+Y+HTgbsJRSh3f5+E1MefytwJnAuXaoOlI+f1e/0GR8hFgRHxJiRXxIiBXxISFWxId2XaQJdRJgV9S5EtMoeoHW+j77eCpwilLqVa11J7AfJlS9BXgSaAbY1UudyvgIsSI+JMSK+JAQK+JDQqyID/UNRJw5jFLKC1wLLMNUVjwXU/oe4A1gCmZV5G7gL8AkrfUjDpjqCDI+QqyIDwmxIj4kxIr4kBAr4kN9B9lz5hBKqWOBAuA14D6t9UH28fuBxVrrP9o9KQYCNwEfA69orRfb33PpXbhnmYyPECviQ0KsiA8JsSI+JMSK+FDfQ/acJRilVKFS6nngBGAUcDBQrZQ63f7K9cDxSqlCbRoAZgF7Y1ZHIhfXrnqhyfgIsSI+JMSK+JAQK+JDQqyID/VdRJwlnhAwW2s9HVNhZxQwFxitlBqqtV6NqbBzmFLKA0wALtdaH6S1XuKY1YlDxkeIFfEhIVbEh4RYER8SYkV8qI8ie84STw3wCoDWerNSqh/QCCzF9KI4D8gFPrcr6TzglKEOIeMjxIr4kBAr4kNCrIgPCbEiPtRHkT1nDmHnB2cDj2mtj7CPzQZSAR9wDtBoh6r7HDI+QqyIDwmxIj4kxIr4kBAr4kN9D4mcOYsHeE8pNQE4HPg78LXWutZZs5IGGR8hVsSHhFgRHxJiRXxIiBXxoT6ERM4cRCl1BPAs8DrwD631ww6blFTI+AixIj4kxIr4kBAr4kNCrIgP9S0kcuYsW4CrgTukMWCPyPgIsSI+JMSK+JAQK+JDQqyID/UhRJw5y8da64+cNiKJkfERYkV8SIgV8SEhVsSHhFgRH+pDSFqjIAiCIAiCIAhCEiB9zgRBEARBEARBEJIAEWeCIAiCIAiCIAhJgIgzQRAEQRAEQRCEJEDEmSAIgiAIgiAIQhIg1RoFQRCEXQql1C+APwCna63/bwffSQOuBFbu6DuCIAiCkGgkciYIgiD0RdKA64DTHLZDEARBECJIKX1BEASh12NHy64CqoFPgJnA6cCRwMFAKlAFXKO1floptRIY2OWfuB74X/u/k4B04FXgAq31pgT9bwiCIAh9HBFngiAIQq9GKTUOmA98AfwZExErxYizIqAWyADOBsqBQuBY4B/AYuAGYBFwHPBbYDawAfgF8LLW+riE/c8IgiAIfRrZcyYIgiD0dg6wf87SWt+vlCoHfg24gd2A6YCvy/crgFfs19Va6zkASqkH7GPndvnuIXGyWRAEQRC2Q8SZIAiCsKtgbfPTi0lvfA34I3ARJs0xBdhR2kgHcBTQab+XvdmCIAhCwhBxJgiCIPR23rJ/XqqUcmHSGbuSDgwFJnU51gAEgSFKqVOA94DnAQX8DCPoRgGDiEbZBEEQBCGuyIqgIAiC0KvRWn8OXAH0w0TH3rY/CgBzgPGY1MaXu/xOAFNuPwd4BNgPuNk+th9wJ3BEl39LEARBEOKOFAQRBEEQBEEQBEFIAiRyJgiCIAiCIAiCkASIOBMEQRAEQRAEQUgCRJwJgiAIgiAIgiAkASLOBEEQBEEQBEEQkgARZ4IgCIIgCIIgCEmAiDNBEARBEARBEIQkQMSZIAiCIAiCIAhCEiDiTBAEQRAEQRAEIQn4fxRlTFbsgQo9AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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KGhWGNmIJ+3FLR/b3DSUot8bBB6/dLtJKYwcuDAWP4O6778bUqVNx9tlnD3QoeOaZZ7B8+fKBDqMoKHKmUHI0NTWhu7t7oMNQUFDYRVFMIiu637XvisqZyqwVXEAR/MGHUhL83/72t3j55Zfx6KOP5n1vMpksXSBQ5ExBoQ+am5sxfvx4jB07dqBDUVAggddmrBVoISpnidLmDJ6Bl630vaKce+2891o8uiL4CiauvfZarF27Fscffzx+9atf4Utf+hJmzJiBgw8+2Fpw+uabb8Y3vvENHHroofjGN76B7du347TTTsPs2bMxe/ZsLFiwAICxwPR5552H6dOnY8aMGXjyyScBAJdccgnC4TD2228/3HTTTWnfve+++2LGjBm46qqrsHDhQvzrX//C1VdfjVmzZmHNmjX9v0NcQC1CTQRVkuaM999/HwDQ2dk5wJEYiMViuOaaa3Dqqadi3rx5Ax1OGtQYcoZXkjOFoY+eKMO7y+3xFvcIOVv1GcOvn2D40TkaGkfSXyeUcjb44LW7hRf7Fr0Gr51bpUo5fvGLX2D+/Pl47bXX8OMf/xj7778/nnnmGbz66qv45je/iaVLlwIAli9fjrfeegsVFRU466yzcMUVV+Cwww7DZ599hmOPPRYrVqzAT3/6U9TV1eGjjz4CALS2tgIAfv7zn2PYsGFIpVI46qij8OGHH6KxsRFPP/00Vq5cCU3T0NbWhvr6epx88sk46aSTcPrpp5fmB5cAipwRwSuJNWMM3d3dqK6uHuhQAHgvsf7d736Hu+++G3fffbfnYlNQUCgNCr08z/suw6KV9t/xRPb39ieOuJxhWyuwZjPDy3fS32u8aKWvkBseSTks6Kqs0ZN4bviLWV+bBuC/1vuK2+4JLccW9L633nrLUrs+//nPo6WlBR0dRjPvySefjIqKCgDAK6+8klZ62NHRga6uLrzyyit47LHHrOcbGhoAAE888QQefPBBJJNJbNmyBcuXL8e+++6L8vJyfOtb38JJJ52Ek046qbgf5SGossYhhpNPPhk1NTVYt27dQIcCwHvkbPPmzQMdguexfft2q6RAoS88lhMpEEIkZgCQSDm/r7+xzZgsxqebSrN9L1rpew1qv+SGUl8VikVVVZX1WNd1vPPOO1i6dCmWLl2KpqamrCLDunXrcMcdd+B///sfPvzwQ5x44omIRqMIBAJ47733cPrpp+M///kPjjvuuP76KeRQytkQw3/+8x8AwD//+U9cffXVAxyN9+AVhdPLmDRpEnp6evDGG2/giCOOGOhwFBQGDF5RzjhCJbpjp5k5qMR6UMBrtzLl1uhN5FK4bv87wzX3G0eLvVkarebwww/Ho48+ih/96Ed4/fXXMWLECNTW1vZ53xe+8AXcc889Vt66dOlSzJo1C8cccwzuu+8+3HXXXQCMssaOjg5UVVWhrq4OW7duxfPPP4958+ahq6sLPT09OOGEE3DooYdi9913BwDU1NR4prWmUCjljAheS/q9olh5JY7BAK+MoZ6eHgDwjHrmtTHkkcOkUATcHjPPkbNgabarVI/BB69dh5T6quCEm2++GYsXL8aMGTNw7bXX4s9//rPj++6++25EIhHMmDED++67L373u98BAG644Qa0trZi2rRpmDlzJl577TXMnDkT+++/P/bZZx+cddZZOPTQQwEY3gYnnXQSZsyYgcMOOwx33nknAODMM8/E7bffjv33318ZgigoeBFeIUBO8FpsXiNFXoHHDhMAYFsrg6YBI+s9GJwH4HaveKWskaM/lDN12jtD09S+yQVROVM9Z4MDpbxbrF+/3nr8zDPP9Hn95ptvTvt7xIgRePzxx/Gn5xmSKeCCk4zoqqurHQndn/70J8fvfe+99/o8d+ihhw46K31FzoYovJJYeyUOhcELNYZyQ9cZRp/CS1MUOaOEUs4UvAqfx071NCv9gQtDYZDjvFuN0XPucUAg4LFB3o9QZY0KCgqOUKRocCClZqlLBi9Y6d/yF/s8LCsVOcvy2AvwWjxegdcUfEXwFSixqw8hRc6GKLySWHslDg6vlQ56GV47dl6Bl4eQOmbOcHvMBnoR6i07GH74kH1MlXKmwOG165AqaywcXjl2XolDoS8UOSOCSvoVFBQGAiqxLh0Guqyxszf971L1nKnEWkEWXlZfFQYHxMnFXf1epsjZEIVXZtC9EgeHItGFw2vHTsEZagHh0qFUZY072hj2OFPHbY86H7DeGMNP/sSw5JP050umnGV57AV45YrttVuHx8JR16Ei4LWx5BWkLemxi08SKXJGBK8l/SqxdobXjpMIL8emYMNrR0k809UaVc5we2pd/yDDtlb6nXr3kwxrNwPXPuC87QeeBW76A8PXfpz+esl6zjysvnosHM/Aa7cLlVgryCLtOjRwYXgCipwNUXiFnHkljsEARc6cocZQbng5sR4KEA05qJDvOG3NQgirK8hDAaDGUCFQ+yU3dDWGCoa61TtDjSEbBVWwh8Ph2wDMBbAewPmRSCRhPn8qgO+Zb9sdwK8ikchvShCnQpFQCa0zFAEqHF4ZQ16Jw6tQM9Y0SCadx1l3tJ8DAbDbaA1Oc8fKEESBw2u3MqV6DD54egzt4oMor3IWDodnAmiMRCKHA1gJ4HT+WiQSeToSicyLRCLzAKwB8EyJ4vQ8VNKvoLBrwGvnulpfKD8KOWSxLOYfNZW0sQD54ykPOT//3gr6WABVGjsY4bHLkOo5U5CGImc2CilrnAvgJfPxCwAOzXxDOBweA6AsEolsIIxNQQJeURu8EodC8VDHbnBAKWc0yEbOUqn+jQMAklm+c/Eq4P1PSltm6bXT3mvxeAUe42bpBN8j1yFdZ9jZ4b0B5JVj5zWCr9RXG4WUNTYA2GI+bgcwzOE9XwbwpNOHw+HwRQAuAoDLLrsMxxxzjIswvY/e3l40NTUNdBgWOjo6SONJJBKuttfS0mI99sL+6ezstB57Yf+IiEajnthHHNRjyC28NoY6OqoB1ADwxhjq6NEAjDHi2bwFVeW7+m3NAWw0+Fxktn28tdUHYLT197lf6MafXqrCpq09aGpqJw2nozP3GNrRUgmgzvGzzy9ow6iqHsfX3I6hLc1+AKPMx1tRoQ0AI+2DsQCAjs5ONDV1DXAsgIYxYGZa7YXrUFu7PUa8cB3avF0cQ83wJQeeoX39Fw14/YNyvPLLbdhnggdWlDfHNMA8MYba26sA1ALwxhjqjQN8HzU1bUFN5dC+lzU2NmZ9rRBy1gZ+9IwrwU6H95wO4DynD0cikQcBPGj+OWT3dEVFRc4d3d+oqakhjaepqcnV9oYNs7m8F/ZPbW2t9dgL+0eE18ZQbW2tJ+Lx2hiqq2PglzIvjKGqTjueMWPGorbKY9OhHoDPZyeK2fZxwmfvRwA47fPV+NNLDJ3RSjQ2VpPGU1ebO57qmvRY0j5bV4/GxgbH19yOoW7d/r7Ro0ejsdELY8jYR3W1NWhsdCaq/QpNtw6JF65Dwxq8dR2Ka+IYGoPGMQM/hl7/wBhDry8biaMO9oL/nRGPpmmeGENeu5f1RO14xo4di7rqgR9DA4VCRutCAEebj48FsEB8MRwOj4YqaVQYJPBav5CXocoaBwe86HD1yAsMx1+tmzfbwYHMssapE43/P1zb/7Ekckzyl6InzMtljQrO8NqtTByXXilrVMgNjw2h9BL9Xfw6lJecRSKRpQC2hsPh+QD2A/BkOBx+QHhL1pLGXQleS/q9klh7JQ6F4uGVY+eVOLwKL97QzrmF4YV3gQf+NdCRFI5Mcrb7OMMMZOtOY9FoSuS7W2TrOSsVvEzOvBaPgjO83C+kxtDggJevQ/2Ngqz0I5HI1RlPXSy8dj9pRAoKuygUwVdwAy/f0Lp7BzqCwhGLp/+taRpG1DF09gBtXcCI+v6LJRc5K8Ux9iLBV8gNj90uPKngK+SG18aQOGx29THkhSLcIQGVWDvDK3FweO04ifBybAo2vHaYvOiSxuGVfVWslf78e40PcBv9rn4mmbnIWSmOsUqKBh88cmpZ8PIkkcLggBpDNhQ5U1BQUBjESFtfaODCGPTg5OzI/YHDZhipb3WF8Vynszmia+SbiElkWRC7VFBJ0eCDVyY+OMTrkNfUV4+F47lj5xV4uTS2v6HI2RCFVxQrr8TBodSpwuGVYyfG4ZWYvAQvr3M2mA4XL2ssExaA5soZNTnLh5xljSX4PkXOFGSh1NfBB6+lQ+o6ZEORMyJ4LelXSawzvHacFPJDFxiHF8a110aQuqHlRzFljWVB+zkvkrOSlDWqGetBB6/dytIUfI8NIo/tKs8dO69AEXwbipwplBReSKYVBjeUcpYbaT1nave4Ri5y5qWes1JAmTkMPngtwfeyqYzHwvEMvDyGdvXrkCJnQxReSWK9EgeHUs4Kh1eOnSJnueHlGevBhC0txv9iWWOpes7yYUDdGj1WGqswOKAIfuFQWYgzFDmzociZgoJHoIijM7xGyLx2mNQNLT8KOWRX3mvsvBUb7OesskZi5SzfGMpchPqrn7cfl0JV8/IY8ko8XjvvPRaOp8dQMUgkGeZ9V8eND6tZiv6Gl9XX/oYiZ0MUXklovRLHYIDXyJlXjp1SznJDlTXSIrLSflxTYZyTnT39u2MzCVh9tf04nkHcKKB6zgYfxNuFF66LXlbwi4nntSXAG0uBn/65ZOF4Bt7KOFTPmQhFzojgtcRawRnqOBUOL9zwAe+RM68NoaEyY11KFHPMzjvBfuyVnrOA335cCpt9lRQNbnjhmKlJosLhtXuIV+Blgt/fUORsiMILSSzgnTgUBi8859bosRtr2vpCqhLHEYUcs8ljjf+vO9t+c6ncGvPFk4ucLV5FGwugCP5ghNeO2VBIrHWdIRgY6Cj6D167lykF34YiZ0RQiszggDpOhcMLRAjwnnLmNbAsj70Ar8WTCykzuQwJbo0DZQiS2XMmkrPn3wXue4p2z3ot0VfID68pVYN9DOk6w0EXMxx/TemDV2mIMwb7GKKEImdDFCqJHXxQxNEZipzlhnLaowEnZ37hrujFskYAuOwuhqbtdOeCasQffPDaea8P8jHU3m2o0nwxeqA0JcReQjoZGvjfqsqrbShypqCg4Gl4jZx5jUIPtdnGrh6Gt5exfj/WnBCJRIiTs8WrgDeW0sWUbwxlkjO/v+97trWShAJA2aAPRnjtvPdaPMXCKebeWGm+yyvzsGnqqwcI/mAfQ5RQ5IwIXlM9vJDEAt6Jg8Nrx8nL8Mqx80ocImZ2teDYnZsGOgwAg3/GOhMnXMMw91KGx1+l22Yhp70TOautMv5v6wLmfZfhf4vpYsqFNZvT/57S2PcHbG+j+z6VFA0+eE3t9DLBLySezFJiAOiJ0sfiJXjtvFc9ZzZ2odZHhYFAppmDIkfZofaNM7ymnAHALRuWAAC6Vg9H9ZSqAY3FazdYWcz/0Pj/mfkMZx7Vf+cEJ2eiSjV+ZPp7Nm6j+a5cp/q7yxk+XgfUVQPfORU4dJrmWFZZMnJGt1kSDIUxXQoo1YMWTuSsVMqZV+A1gj/YxxAlFDkbovBKEpuZWA80ARno7x9M8MoY8rJbY7KjBItOFQmv3WCpwEsK+wspR+VMg5gGR+MoOR7+r/F9F38R+PmFRnHLpm19DywpORMfD6ExNJThtfM+zTXWA/EUC6f1A3tKVdZYms0WDa+RIa9NOAwkVFnjEIUXkljAi4m1Vy6LCoXCi8oZhy808OPJazdYKlCSs0KOklNZIwAcHbYf9wc5W7jM+P+0z9lRjx+lYcvT6b+im7DkaqiOoaEMrx0zLxN8t2WN/e3S2t/w2jHzsoLf31DkTKGkEMmZvqtPheSBIo7O8DQ5Cw78JTSt52yQn2KplP1jfv0EsHVn/x3vbOTskes1HDbDeExFznKd6vw7GmrSnx8zPP1DmaYhMvCaCiNCXRadUegx6+hm+GRj6Q/qYF/nzImcHXIJww8for+oemVMe+2899qEw0Bi4DOLIQKvJdZeSWK9llh77Th5GV44XoAHx5CYhfgGfjx5ebax2MOVWUZ08R3994ucrPQBYOwIDUcdYDyOxksfDydd+RbDTaboYvFyUuSVeAb+TE9HoVb6e5zJsPfZDCvWl3ZHei3Rd8J37tTx9Z867ywncgYAt/wF+ONzDJt3lOZ8G0h47bwvJp5laxkeeaH/XX37C4qcKZQUXitrVCgcXjleXiNnvqS3poi9tt6RDDIb8J99i2a7+eZkdJ2BMeN9PgfCXW6Wr8b6oayRJ4mZCl4mSJUz8fHAD2mFIpHrmO1oN/5/66PSxuBlt0aO3z4DPPoy0NrZN0CnnjOO83/BcMFtHv1REvCa028x16Hp5zKcc0v/Oej2NxQ5I4LXFBkvJLGA9xJrhcLhlePltXJYLSFMOHggtKGUWDuVDb68qP/UqmyEqDxk/N8fPWecnOVXzui+c7CXpO2KSDNPKOCYlfq4ek2FKRbZlDOO59+l+y6vpIteO2ZuqkA+2ViSUAYcipwplBQUyhklSfAaiRbh5dgGEl4j+F5TznQdCHdux23rFiGxxcFzfRDBybr6H6/L7+N8pxYvacxGzsqGODkrNilibOiWEw0WFKuYl1oZ0V0k1v0JXRfvI31fz0fOjj2IOCAPwNPkrMB4vvNrhh1tHgieGIqcDVF45cYpm1g3NTVh3Lhx+OUvf0kZlidRLDn74IMP8MMf/hA9PUPbUsrL5IwR9v24BWPAjz9bimk9bei895OBDkcKTuSso1t+u/lOLWuNsyx3RGrlLFc8iRw9Z2nLOJSorDFfop9KMRz8bYYvXc/QG2P4bGuJe5lKuvXBi2J7vEpdgOD18mrxfEk5xJePnFHeerwyD+u1PkG3ZPGHD3kgeGIockYEpXo4Q1Y5u+2229Dc3Iwf/OAHJPEMpeM0a9Ys3HLLLbjllltKsn0vECHAe+RMS9h3ed0j5IxDjxJm7AMAJ/JDZRkf0PWsd3xPljU6xPLxnzU0mgtjl0w5yzOkVzcB760A/rUAmHMxw8QzGFZ9NvDnwa6GYhPZUl86vVway1j6+ZJ0IGKJPOdTf5z7/Y1iSuJfXczw7vL+m4gphixuaSEPZcChyJkEvJY0ivBKPLL7yCu/w8tYuXLlQIdQUrgdQ1u3bsWaNWsQi8Xw3e9+F2+88QZNQB7uOdM8YO0vA1E5u+Irxv89BOSsLJXEkytexc83LHF8vVBy9virwIbm0l6TcpU1Tp2k4ebztLT3UaCYssYNzfbjj9Ya/7+8iC6WTAyd6TRaFKN2AqVXRliWx15BPuUsnsj9eUpy5pU54kLVzp4ow1FXGIp5KeGW4Dsdz8GOwX0nH2AUmzQ+8sgjOPDAA9Hc3Iyuri4kk0n09g7uHpF8kFXOFDlTcEvOxowZgylTpuDWW2/FPffcg3nz5pHEo8W9VdaYdlMd5OSMJ0DHHgScbi7CnGmv7wZTOtoRAMOs7p2Or6d4WWMecgYAD/6boAcuy/OplO0a6fc7v4sTyIFSztZt6ftcMABEYwy/+QfDxhKXOSoY8FpZo7h9r5c1/v4/DOEL9bR1FPNNdgxJ5azASZmYQFwTydKd327LGhU5U0hDsUnjOeecgyVLlmDs2LGoqalBQ0MDKisrS0LQvEJq3CTWr732Gr7xjW+gvb2d/Hd4razRze+75557cP3110ttoxB4ZQzJEvx33yW02UK6W6PXyhq9Rs6KPVxcOasoA6oqjMfdBJfHQB6JM59yNm2y/fjTTfLxZEMhZiAlIWfi4zzHzIks+/3AFfcy/N89DGf/lPacGPgzzJvwWlmj18wlRDCkny8//hOweBXwy79lJ2cTx6T/PeTJWY5jlhL23asOxQdvfciwncCUo5jrkAieIsTiDK9EGGL9sB5lqZHHD8pAOBy+DcBcAOsBnB+JRBLCa2cCuAgG0bsuEom8XYI4PQnZkr2uri4AwJo1azBt2jSyuLwEN4n15z//eQBAeXk5gsFgSeIqFr///e9xyy234NVXX8WkSZPItutmDH33u98l+/7BAK+Vxnqt8T3thuYRcrZbtAs/2bAEHUv2As4bV/DnRHJWWWY8plDO/HmkhXzkbMJoDS/eARx7FSPpb9A0YGpPG0bHewE0Ws/nMgPhGGjlzElhaGkHfves8Xj+h3RxKWSHeJwKUQ52dbdGp/NFfC6z56yuKv1v0rJGuk1JodDSWHE/HXcVQ00lwy8v0fCtE4GFy4B532UYPQxofkbul7kl+AuWAXc9wfD7/zJ8vA64+3saLj9NKpQBR947eTgcngmgMRKJHA5gJYDThdfGATgFwFGRSGTerkTMALoFlkuxjtNgVT3E9/z+979HdzeBVZsAt8rZhRdeiHXr1uG6664jjYeib3GoK2eyhIz8/BKPmVLOHPHdzcsxMhnDHn8rbuVbngCVh/pXOctnpQ8Au5scc+M2+XgA4I51i3B10zJ0rbavcYUsQF0KcpZWkpZnSDt977UPpH/otSUDf14MdYh7uBBy5nQZfXkRw/FX69i8g0D1kJi0evE9hhOu1tHcUppxo8F53IqTIJmTDh3dwDePtf/elZWzzH3X2QNc8iuGK+5heNU817c6V4y7j6eIz/VEDeX+43XG3x+uGfzXn0Lu5HMBvGQ+fgHAocJrxwGIAXg5HA7/JRwOVxPH52lQJa+pFL3DmhcT63wxPf7446irq0t7buNG2hUGiyVnuq5jxYoV1t+xGME0vgCvHCcneCW2YgnslVdeiQkTJhT1maLi0Z0fDxS82HNWpru7pvEEqCxIq5wFUVhZYzYrfQAYYV6adnbIxyMisdPO+nI5NXKUqqxRYwwjEtG8M9aFfO/n/4+hpb3/rh9vLGX45d9Ku/Za5q0jFmdYvWngrpHiTy3kmDiR7i98n+GFd4Grfyv/O2TcGo+7iuH5d4Gb/lCiiUbkJ2drN6d/t86A316p4Y/XGQd+qBuC5Nrz2cbXfU8DP/lTieKRGArttHP6A4JC7uQNAPjtqB3AMOG10QBGADgGwNsALiONzuOgcmtMOvm6DjBeffVVzJ8/X3o7xShnZ555Jjo7O7N+ngLFHrPLLrsM++67r/U3NZEuNh4vjhWOlStX4vHHHyffbrH76Ne//jWampqsv8knP0RVzgvKmfg44A1yFnLJWjk5CQWAynLjcXfUMMqQQTDPuMlX1ggAtVWAz2fMGss2xYvJmSYYfyQHsKzx/5o+xp8/mQ8s3JrzvckCj4VMgpR+zud//7zvMvzgdwz/XuD+O4vF4Zcx7HkWw/wPCh8L8URprheFjIV3PmZp4/bF9+zHax1MXooFy/K4GGxrA7bsYPjDf+n7hvKRsxffM/6/8iuGSv7YTRqqKjR87Sjj+aGpnIkVJtnfR+kMmwtue86G1ab/TaHiDTQK6TlrA8B/eh2AnRmvvRaJRFg4HP4fgBsyPxwOhy+C0ZOGyy67DMccc4xMvJ6CaOTR3d2dlhAWgy1btrj+bDZ0dnbm3eYLL7yA9957DzfccAN8Pjupi8ViOOoo44q0aZPR/Z5IJFzF2NbWZj3evHlz0eYn77//vvWYYh+J8WzcuBH+bPZsAG699Vbcf//9ac91dXU5xuF2/4hKXCFjyGn/9fT0kI8foLAxJGLq1KkADHXy0EMPzfPuwpE5hool7OIi3RT7qafbtq7avq0FrIlmIS63Y2jbtiBMkQnd8d6SjIViIZKzYuLZsbMKQC1i0S5s39aJxhEj0bQjgLcWb8WURvdsxK/b2UVmPIwBz71VAaAeTE+gqWlH1u3o+lgAwNX3duDqM7pcx9Pebje0bG/dge4mg8ls3O4HMAo+LYmmpu2On21rLQMwDF3dUTQ1taa95nYM7dhRhqPbjQw9+exaNJ2VfV/vbK0BkL9IpmnzVpQxd8fMOMWNfd3R0YWmpvRJu5UbA3j4+SpcdUYnqsoZAMO94Z2P2rH/xG4sWR3EfpMSqAiBDmwMeLdQU1MTFq004vvL853YfURnjg8a+M1T1bj9HzV47ufbMGN3+Wy3rd04VwBg85ZtGF6ebZtGnE+9CYz/chLv3LMNiz8J4YyfDrfe8c7HwIIlzZg0OiUxhsphzOUDO3a0oKmpMMl7R7sPxjw/8Mx84Jn5Rla+oakDF50oK4EYv72zswubmnoBjEx7NdrTiaYm4zxu2j4KgB9nHrEVV55qXL+amozrg983BvGEhtVrm1BRBgkY8TCmo6mpMEa8cbsffh9DWRC46ZFa7D8ljm8d15P/gwWgvaMaQA0AYEtzc5rZlYimLQFk7jsnbNrUBE1zfx3autX+nq3btqOpNtf6BmOtR3+7djuOu96Ob/P27NdPL6GxsTHra4WQs4UArgTwCIBjAYhzUwsAXG0+ngVgbeaHI5HIgwAeNP8c+GlmQoj9UBUVFTl3dC7U1dW5/mw2VFdX593mBRdcAAA45ZRTcMIJJ1jPi+rVuHHjoGkampqaXMVYU1NjPR4zZgxGjBhR1Oc7OuwaIop9VFtrT7GMGzcOgUD2U+C+++7r81wgEHCMw+3+iUbtxL6QMdTa2trnuVQqhSeeeAKnn356WjmfLAoZQ07YsWMH6XjOHEPFblssZaWIq7LCVhaGNQxDY2NxYzob3I6h4dt0cJpQWevumFEjpK+yHhcTT0UlA8AwrKEajY21OHBvHU07gObO0fhco/taoBDWZ43nn68zXPOQcWuqKA/middIXn7zVA3u+r+6HO/LjboaOwka0zgaNY3GGO/Rjd9fXuZ8nQGAMVuM9wSC5X3e43YMDVtn35qDFaGc26ioLGxyZOTI0Wh0ecwMpdSIybgOpU+N73mujt4Y0BGtxC0XadZ7//ZaLRYsr8WbHwDnnQD84Vo6JZkJpbHG/tGzxgcAHd0MVeX2kgi3/8N4/++eG4lnb5WPq7bG3kfDho1y3NeGMmIf221tfmihcXjx/b6p2F9fG4X7v+9zPYYaGuzvamgYXvCxP+L7zuNpdXMtGhvri44jHca2Q2XVqKqtQWYKOqyhFo2NddB1hpZO47WZU8cgFEyPfepEHcvWAS3RcZizu0xNohGPz+fLu49jcYY532b4YDUQChqOsUs+AZ5ZUIEfnV9P4jxdI1yHRo0ag8YxztvcGU0fR9kwfOQ4VJS5zxe399jfM2LEyDxjyI79yDmjUB5ilrq5enMACd84TBrrkfpRF8h7hYhEIksBbA2Hw/MB7AfgyXA4/ID52ocANobD4dcBnA/gntKF6j1QGYJQ9zEBxcXT0pJuPyaWzsmW0XltoW7ZeKjLCosdQ/F439qKV155BVdeeSUOP/xw0ti8cLwA+WPmtM9kIFbseaGsURebSTzQAwcUV9aYSDI8/w5Dd69ddsXLjRpMXi7bd5ar5+yx/9n7r76fuqa1pB1PVzfD4/9jaG5htltjf/ecib0euRrvhO/95SUaFj+kYcYezu+TcQc0OAXD7r2daYu+c3BXz9VNQFQYGxuagTc/MB7/8Tn3318MnC5JW3cy1B3PcMI1fV98+2NjTTjp7xUeZzMEcarobusCNjmICm8slYsnza2xiJ+3drPz8xNGycUj4u4n4biAMj/fdnYY+6q+Gn2IGQBrjK/cQBdTPny4BvhgtfE4njCIGQdVpb5bQ5BsaHdfTFBUPJkIBTWseUzDpiftYzfvewN/b5ZBQVb6kUjk6oynLhZeux67KLxMzooBj33z5s2YO3cuzjrrLOu1eDwuZWdPtY+oIOvi9+qrr+Ktt97CYYcdRhJPsfsn11jZsKEf7xwmrrvuOjzzzDNYtGhRyb5DlpwlErlKI1xAvIHQe/kUDTEGVmq/7AJRjCHITX9guPWvwNeOBiablSpBU23gPEF2kdFggWRxZH3u148JAy9HgJPmysUjkrM7/67jjkUMRx0I/Oo7xu8upOfsjaVA45d1vHKnhqmTJC2sxT98ubfF+08qQsABe2uoq3IeczIJJANwdNtmXLF5OXb8fQRw+YGO79MAxPupH0bTgICuI5WhWDhdkp57x/j/JYfL4vY24PLfMDx0DZ3teLbk2en51s70npyyEBCLG72UVPEUchV652OGL3w/+ztD/bCKjtHXpmFbm/H36GHO7+P9r1RjrRDRK1f/azwJ5Cj6KRhuyFnADxyyH3DcHA0/fIjB77fP9W1twJjhjpsgjUd3uM+NG8F3qlkW2+w+Di/AG93jgxRUqpBY2kaFYuLh7/3pT3+KDRs24NZbb7Vek1UdBptytm3bNhx33HF47rns064nnXQSmVEJhXI2kPjFL36BlStX4p///GfJvkN23JDvM+HG4AUyxNLiGcBABPC8ghWQhPzGHDp/f8WYIQbsxIy3wsqeboEc6aI4vPKRs/NPNH5QpVTfCeAXyNn8pUYA/1tc3CLUALB5B3DwJQzL18uNw3TlLPdBs8xTzBhrKp3fJ0OoGQOOaTMklRGrsvcAahoQyzH3ctZPdGkzGY7yVBJPrngVt6xfnPe9mcs/ZF7Dfv8f+XgKIWdOx+DWvzK8/6n997Ca7O8tBmkCfgHbuvmPzCKE5Q69gV0ES2jkAydbnKyObnB+H9UkUTHIZcJBZdAhjspctzI+vg7eD9jwDw3P/VLD9d/QwN70IfmaDyceYry+RrLduVBTGcqqAa9CkTMJDDXlzMlsQjaxHWzK2U033YQXX3wRJ554YtZttLe3o6KiAsuWLZOOp1iSl+94iOYXsijmeInlnvSLPnusrJF5iwylKWceKLMUoeeqzzPRY85NVVX0JSdUSVGudc7EITWiLjcxoYpHE1a8FU9Z7nBYXZH9s5nEraMb2O+bcsc97TJUYFkjJ4nZYpUh1IwBvgLOdU0zVJ9s+PsrwPFXMyQl3TUBYM+eDgTAMKMnve/XKcxO4VaaSrG0kjQquFXOXo6k/z28Nvc23MST79Bt3cnw2vvG4wP2Al77Td/zjmJ9w3zgY2ereUhH5SFnVF0NhWimmYtii3hvhbN6VCwKXchcXH9x3AgN1ZXpv2CK2V62WpacCfH0xpB10inXWJ23v1wMXoEiZxKgUoUGuueMv9cpjl1NOcu08s+GeDyOH/3oRyWPJxP5xgqlS2IxyOzFi0ajeOihh7Bli7xHczH7yOn1UpY1eq/nbODjSUMRlVtjh/Vd58siQ5KJY64yInGPjclS1sTBK/5klTyxrDFh2qtrml2KM3FM9s/mKndyi7QZ6zzKWeYxyuZeJ6ucFZqc8P6zUw4Dnv5539hfjgAL5OfR4C9iJmZHm71HA0cyhC/se16+uVRS7RQeF6Kc7Tne+T3D6/q+1w3S1jnL894n3zBU8gP2Ahb/3oeD93MgZ/QFRX3AlbNtJjnLppzxc84rytkXvs9w6Z205CzX9+VbaoRParV30Sn4x1zJsN83GT5Y3XebuY7D87+0x9LxV9Mp5/0NRc4kQKUKlaKssRjw3+EUh2xiK+6jfCpRLlt7KuRL9MvLywvelkwvHke2MdTa2orzzz8fb7/9dtr785HlpUuXSsfkBplrid1000246KKLMG/ePOltF3OeOe2fkpY1FkAaopuj0JM6NvxxI/633+voXku7QmZ6zxnppvsVVRV2stSnrFHy/iqmfuIYeuoNhmeE5Rz33i33dvxESZoWtzfAFSLG7IVwJ47O/tnEp52oTNFOOBRa1phKMTzyovGYJ2rZEjYpcobClbPTb7TJ7ZcO1/D+wxpW/13D906330ex7lG20linZwvpTfrry3SJbD7lbGQ98I+faI6TFA1EZY1pBD/PT+Mli0fmUDn6o6yRl8RuazUCHtXgPPapznuOQnrOOFnyZcnSH/iXfBzicYrnuKRY6y9mOde5mi9bbuk0blY4tNLnUs7KyzTrmvTCu8A7y+ViGigociYBqr4jpZwZyGVrDwBz5sxBc7Ncl6cYw+OPP4599tkHn3xi15yUlRXeTJIv3kKQjXhcd911+OMf/4i5c9OdB/qzBLaYMZRJzl599VUASNu3FHF4gZyl39Byx9P+YQdenf4Gll7wIT6+ajlizTGs+NGqnJ8pOh698P3T7ygiHE0DUtEUwBh5WWMaOTP3178XMJz2o/QAubrQ29SLHW+0YMu/mvHm3LfQtriNNh7BgdAn7KSf/8X4f2IWS+vm/27Ftq+/jUu3rJQLIANpwyZHWeOTb9iPeQKULXmUuT3qevp+yQZxL+1oN/6ftaeGPRo13PVdH75xrPFcS0efjxYNf5Zza2cH8Mu/MWzZYb8uJo/H7tyEC5pX9VHeeiTnZAspSRMVj5lTNHS/pOHVuzQsuM/ec7zfS7asUTze+Y49tzzPtWbYs2/JL/aeD5yQtJoFM7zEMxPUPWeFXKY50cnV3yq7qDmVckblIOv0a3a0ZY8nG8TSb9K1DvsRipxJwClpXLFiBU499VR8/PHHBW+n2IWZqcFjd1LO+rPnLJ8S9d5771lrs7mFGMMFF1yAVatW4bLLLrOeK4aclUI54/+yOS/2pyGI254zgG7iIjOOfDE5kVf6skY7hqvuzR3P1v8aa6I1/9teGy3WTEuw08qJBnGjdHkigS8+MB83blzal5zJljUKxyyVYEilGE6+Lv3Y3Xgu0DjSSFo/uPQjvPflCN4/7wN0rerGugc2pMcjO7xFcuYwhDKVs+613dj09yasvMkg9ke2N+OJH9Ot4ZOmnOVwa1y10X7ME7Js75YuayykzFs4tXnYsW0xJDuN6xFfgrCl3X0sHP4sZPHRl4Ef/I7hhB/Yr4uJ7ne3rMCpLZ/hlJbP0j4nqwaL10KnZJUxZp03fNxWlGk48gANc6fbR63MvI3JnmPFuDXGTFJRHuo7ekSXxlI77vHx02H2fdaaa8NveqwJ6x7YYO1jq+esH6+vFjkrBy7fvBx/XvUm9ulpS3vPys/6fq4YiMcpl9qbj5xZyhkhwefY0e5Q1pjne8Tf0h+un6WAImcScCIeJ5xwAp555hkce+yxBW9HXMxaBm77u0qpnBVDzgpZoHrr1q1531MsxOS9mLJGauXsqaeegs/nQzAYxAcffOD4/sGgnDHGBoycOY1XcZ+RKEvCT+vqYeiJZt9mxYS+bgntSzuw4/UWh3e7Q5oJiOeUs8LjmdDagbJoAnM6dyBoMhayskZRZUgaLodpr2vAj8+3b4c732pNe71zWWd6PLLDW/hBTgqR2HPWubILb8x+Cx9etgw96+yJvJOn0006FNpzxsu/ADshy6acSZc1FqCcdQhmKokkEN8Zx2v7v4kFRxnl4MNrjd/S0iF/XuTrOVsqOCAmkgAYwx++a18Xw13pg45iraqpPW34fNvmPqThynt17H02Q6u57lSuPkWLnBG6NeY77fnadE4ujSPr7SU1St3jxU1HOswUrLYS6F7Xgw+/swwrrl+JljeNelirrJGInBVU1mh+V2WI4bjWJoxIxnD8zk1p77nintIoZ6kUw5qmvuQ/n3JWirLGHQ4TK/lIsnic+rNPkBKKnEnAKWnkikdTU+G2NaUgZ8Ukx6VUzopJrEeNyr/qZDHKVr54ODThStnfyplTPKlUytFI47777sNJJ50k/Z2lQGZZI2V5naxyRrmouhmE9dAH4ON12d+qx5zPw/dOi6DrE8kVO60vEXvgPEbOCsQR7c2Yt2qt9XfFE8bqq2RlhMIxe/RF1sdV7NO/2deAbS/3XaG369NuJLuSdMqZcMycyuV2Ey6FLW86E/nOZZ34yw006ll6z1n2tIAbJwBCWWOWEGTdGv0FDOU24RSKJ4Hu1d3Qozq61/Sge2231U/VRnCqZStrdEIiBVzR9DFGX/yq9dzM7lZMitqGUxQ9XnesW4TvN30MfUP6D/z1E8Cnm4BHXjCVnxzkjCsLlG6NhZY1lgWBZHcSn96xBrM7t1ufpSq17BNYBji55//XVAI962zG3/KWQc762xCktZPhDLOXcoxm39Om9bQWZUyTD2kl+knDHfHfCxgu/w3DlK8xPP2m8QbLrTHLfDSfqClFWeP2tr7PFfM9VIS6v6HImQTyqUKFLgo8EMqZmEzzhLUUJWHFKGeZCb4TSk3OBtIQJB/E8kuvIfPYUSpnxWwr32QCBTkTh5CPsZyLt/a0Zx/Tbx6ygITEpiXWRez2VDSFpic2I94ysGvnTYx24QebPsKkljbrucCT66AndfIZawC47E4dn/8/e6eNGwHs0WhfAzY85FArpAPt77eTkTPxOGlgGFkPLPythk//pmH5IxrKy+x4/BXOmXXHsg6ccLDxeFiWXpmC4xFIfbYR2d3L8IYg6PNjk00FkHdrLKCsURi6iSSQ7LYHStuSdjLiAQD+Ino7UzEdR7f3nWDbTyhLk71Epp33bc7n8MZtxv+i4pGK6ehc0WltgCfWjMlNqvHdU6an8h45Ts7Ky4DNT27Bp7euxs2fLUWZnoLO6MjQpGgnnlj5Oo7fudHx9Y5u4O1lDK+/D2MH3P0xFp1hr2O36dFNYIzBb85ApIjccPMpZ/PN8+z85k/wo//ZjkVjElFM67ZnSLjTpltkKmf7fdMo977/GeO5B/5lvCFTOevd2Iu1961Hb1Nv2vP9pZyJ4+LGc4FkVxKf/GI1tvyrbx2sUs52QeQjHr/97W8d35uJUpCzfERHTFI5ARvonrNCEudQSK67M18M4vbzuUdSlzVmA4WphhsUc6MWx4mu6wOmnOVb541EOctIrHMlftu35j4P49vkiZEufkURycOa36zDB5d8hEVnLpGOIRu0AsL57Zq3HZ+PbY3b1vXSZY32BjLzosxFlEPDna8x7Us76MhiWlkjMHUicMg0DVPGa5g6KT3CZJfzmO34qJPM2r+Q5Ri+fx9Lcz1MpoCe9T04+JFFCHf2VRv7o+dMxLT1W7DxEbvsq/mZrWRGBQAQEhg1y2NUMX71Nsfnd6dUzsRS3Sydf585kLNVP/kE8w9biK9vW2O9RjGuGQO+vm01nlrxKvzLcpdt816v8hDQu8Eu1Z3W3Qpdt+ORvVxf2PwJqvQkLstioNPRA8y91NiR4+M9iP4nXVKPbY2j97Pefl+EuidmjP/TWvpO8KeNIUKlymm9wAP2Mv7PdGtc9bNPsfLGVYiY9w4y5azIssZRDUY5+uantmD17Wvw/nkfINGRLigocrYLIl/SKBKkXGSJauHgYsoaxSSVJ9YD3XNWiEpXCnLGlbN169bhyiuvtJ7PR3D7Sznbe++9izKYGQiIYyeZTA5Yz9maNWtyvk5iDpJR1pjrhrRsZcaLPsBXbl92ez6TNwNKc2ssYLfvfKcVHcs6rHK59iXG3c9rJZGb/7HZMmGQnbEWSWKmscNDV6cntqmo8wHt+LiTjCyKIfgYQ2UOwV5Ug0S0vtsK1pskiSdt3GTZWKZ1dywOND2xGcM+a8OPP1vaJ7OSKmuEMfFRKGqScZz94TI0/8vuSd76/Db4u437Fwk5E2ZB8pGzkVva0v5eXW7UVx7X2oSzTVJESs4051SOG6GIlaq8bPdrO9ZZr1GQD10Hvrbd2Gblk2tzvjcaB2qTcdT95D2sucuuCz9p58Y05Uz2uIklgE5rB3YI8+KiIpX2no866RehzqOcReNIK4EFgC1Bo395ctQuYaUkQ007+r5eFtTSvocfl9Z3jX3VubwLelwfMOVsmFm23P2pfSCbn93q+N7BBkXOJCAmoCtWrMCUKVMc1auvf/3rOOaYY7JuRylnfWPKhlKUNXKceeaZaX/7snW6m+jPssYjjjhC+ruoIcYuTjAkEglS5ayYMbRixYqcr//4xz/G2rW5E4e8EELQWG7lrG1n+ovVe1alKTO9mwjImfgV+c6x7iTeOfE9vPW5t9H6Tpv1/NKLP8Qr+7yG2Nb+M5wBkHOB0FU//RQT//uJ+T6570lTzoTH912h4fCZGeQsgwyVjTGuOZv/sQXYaoxz+bJGkeCznHbZKUE504Ia9v/jTABA78YoFs2dD40x+RI5sawxyzHZozH97+T7OxHfYd8fqlPp12/ZRL+Y5GS3mPM9tPr81zGnY1u/K2eBWPoX/mu4vYDeWduN64/0MRPGUDLLtnj5YMBvTMq89fm30bPGvlbP7twOv4+GDBXq+MnjOqRjG/wr2tKe37O3A7pOV9YoRnHbxRouPjn99VaB/0zvSSdno08yGj+71/aQr3OWD70xYIZAFrcGy/HoqN0BAJNLpL7yNRbTX08vayxPJrH+oQ3o3Wjnipv/ucVS1Epipd/e977fZQ7hqgpjMq39A3utjM8eSTdN6U+HTUoociYBccCsXr26z6w9TyofffRRvPHGG8iGgSBnooLACZiTpX9/kDNuH18IOZNdqDpXcr9u3bq0v7U801ulMgRxws6dBKuoFolilM6uLmE2j1g5K4ac5VsH7+6778YBBxwgGVC6cpbrBqllGIKMPmE09r5xT+vvVI/8nSNNWcyz2xNtzufY5n9uQWJnAp/92bk3wzXyuWsmgS5f9vLg0W8a/V/ySlX6MeO48It935rsTt9H9QfajR2dX3sLAEE5kTiGGMu53lOyy/iyqbfsg6M+noexJ4+Bv8q4DiZbExgf65ZP0lL5x1Bdlf34oM7tqP5pBBsetsfLqET6/aM/yxr36s3ulX/jxg9IErQAy09grfeaXt6BK/fD7fPm4tW6sWmvh/QUwULm9o/Ss5BFXj4Y8ANrfr0WHUISCwAHd243yhoplLMiydm+vW19nm9IxVETi5FZ14smLj4fUN3XPNfCBJPg7/2jPTHr9zMw/NBhAICOjzrg17iCLxcPAJyxfR0O3J7bdbo3Bowxz6cn9tgL5+91OBbWGutr7B7rsggapXLmZJrDt88VsX3eXovl16aXiO58u7Wkylk8gT593dzAZYw/jjdmv4WdC2wi2/lxZ5piqgxBdkHkS0BTqVRB5EZMbGUgo5zpuu5IEmXLwPKVpLW2tsLn88Hn8xWkaMgqMk6fj8fjWLt2bZ+SyXzKWX/1nHkV4hjq6LBv+gOpnGVOMMybN6/Pe9rb5RY9EkPIpZwxxtDZmv5isCGIcaeNxfAjjBt/NjfHouIRE8U8SWMqS/8SR6KDqG6nQMQTQLme/+4prZwJj32MoaEGeP9hDcFA3ySSK2e7Xz4J9eE67HvrPmmvlxEk1uIg8oOlLZqaCd5zFqwNWKprsNb+wO7RTtIySz3LGOo1RdVQEPjK9nV9Xr9zbvoEkmxZY7Z1xZzw5UB6j1fDQfVpf1OQM9GgRE/k/nHxTuMLAyNCWJmqAtM0PDzanpQZloxJjyFfXEhA484b48pZEDraFve97k3p7YDfr5GQszS3xjwTm7E4w4Fd6X1pyyrrAQATujvJlDPxmPm03GteVZnK75hTxmDcqWNRubvRjLrlqWbUfbCVJJ6J0S6cu201vrPyQ+u5tk6G7W3pYz0aByrNeLoDRtAxnz0xfe+ad0jiYQD27W7F0a2b0eVQxMHJFl83bMTGvqWfHcs6StpzBtilja9EGH76Z4aIyQ+nbduO6GZbxStvLIce0zEuZrM5Vda4C6IQcnbkkUfm3c6GDRtIklm35Cwej2P16tV5t+kG+RLrv/zlL6635wZOMcyfPx977LFHn+UP8hHT/iZnFRXGtN8TTzyR832FuF5mQzYy7bQvspGzgVTOMvs3x40bRxaHEIT1UEP2G9LvngV8ZhK3LViO7qoyjD9rHDRNQ82+RrE8CTkTNpG3dDgPOctH3opGnstHtEdHIONNTw6f2Od9lFb6PjC89hsNs/Z0TiB5j9f4r4/H3BcPRkVj+nR7XTIuT4ZEUxmWex0qTha5WgYA9QL5qNaTpCVy2Qh+j0nOPrg3hakOStWI5ekEqT+Vs7Le9OvT2C+lNxhRkDNxDOUiZ68uZvBHTeWsOmAllk+NmIT1ZdUAgAo9JX3MNGHF32xllpycTW5pRaJVXLHbGIJTop1o7Oq0DTgk9pM4hOJ6nqaqriQakkZwY744Gvvesg/WmX1513/yPsrNWm1K5czvB0I5btnjKsxjVmO8qX5/WzEf9TejXF52kqg6lT5Ok0mGOd9mGHUyQ0e3HWtvjKFKN+Lp8dtBt/qFCeQ8JfWFQNeB29dHcMXmjxF5sa9IwLcfSxhqb02zXVI54ZzxAIDuNT3wm+tSyi5CnZWctRn/H3Mlw40PM1z3oPHG8Tvt69DYL41BzT7G+dUYV+Rsl0Yh1vALFy50fO1zn/sc3n33XQSDQXR2dhZsu19oPMWQs56eHjz11FOO75NJ9IH8iXUhSbyYYJeCnLlFf5Oz2lrDL/uwww7Dpk2b8M9//tOxRE+2FDUztqamJoRCIVxwwQVpr4uETVSjSknO8iFTOSsvL89ZUuwuIPuhL4db46+fYCgzk4x7x07FD+cejlCDcXP1hYxLbypKQc7EKevc70125j6fKeIpBtEOI55uXwB/mDYd5+xzON6osxNrXh5FuQi1BuQsI+RkKFDlzJjKWIrYrZEhx9JiFqHmSSMATL9zP+txZSpJagiSrWSvx5yg5kljJtqXtOOF5LuoMhNQKhWmEATNKf7pd++Hg54O9yFnFKVN4iFKxrMH+IfnGCpMNThYE8CxBxnPf24W0GOqHxWpJEFZo70BPWHHE43Zj+PmJbo6456w++WToY0xJh3G3Pg2yjRjW7Jujdb35iFnXS3mmB5bjgP+NAuTLp6IteXV1uvT1m4GIE/OMpUzJ6UcAC44kYF12wo1YLi28gkRvTpIHk93L8O4LzN8YlYGP/0msGSV0eLRG7OVM5GcXbX7bOtxQzIuX14tHLOGpMNSSpycxRn2iHbCl2Ko2bcac1+ag31v2QfBhiBS3SkEu4zxJV3WmOX5TzYBdz7e99WRW4284+D/HoRZv5+BysmG2nntpg+tyR1FznZB5Esac70+duxYHHTQQZbRw0cffSQdj9ues7a2Njz66KNWXCJkk+x85CwfWaqtrcXZZ59NFg8lOcvXk1YIiomH/3a/34/GxkacdtppuPHGG/u8T4acOSlnjzzyCADg4YcfTnuvSPDb2tqsxwNZ1pipnE2ePBlHHHFEn9il4ksra8x+8a+tMkrgACDm82FHpzFeYnGGyFqTdGQpRyoqHDGxzpOlOyln1VPtpEgnJmf5zpCYSc6iPh9eqRqDHf5yNA+rxdyX5gAAGC+3kk2uMwxBKnKYvqbMJM1fZSdF+90+1Xoc1HXSRah9jBWknIlkMVgfxF7XTQFAo8KIhCyZAH7zD4b1W9LHklXWmKMMNbWqA9eMNBJr2UWodWH0dPcyJHOYcPhNA46xJ4/BiCOGo2x0GQ7+j8GKEppGXtaYi5z1xoAKnSf6fvzpOg13f0/DEz/W0Gv2V1YQlMb6BBcQsefs6z/rGxsnixO+0Yi5rxyMPa/ZAzUN9njiZWCyJi4csRzk7JUIQ9s2Y/+U1dnn2MYy+zpUE41JxwMAPmFX+HzZyxpPO4SBpRh85T5r4gwAjlh4qPFZ08FVPh47oGffSl9g+dxbGQ68kOH2vwMP/xeOyln5bpX4rMxo/qxNxUkNOJxGNCdbsQQwPGEck6o9qlB/YD385X5U7GYQ/OhX3iBR8rLdlr/xM4bv35f+YkDXUb29C5pfQ93MWmiahrr9jQnsIGOYYy7voXrOdkHILKrMSdD06dMB0JMzXdeRSqXwyiuvpJWccYiJ9d///ncsW7YMY8eOxbp168AYw+zZs63tyCAzsV60aBE2bNiAP/3pT7j00kvzbt/n8+EnP/kJ9t577z6/0Q3cfD4cDpNtKxPF7F8+nsReuGHDhvV5HxU549+XbRyLY6i/lLN8SwpwcnbXXXfhyiuvxFVXXQUAGDlyZNZtFo2MErlsN6SaSpGc+dHaaZSxHHsVw7/eM44hBRkqxMyBw4mc3V2zJ4Yd2gAAiHfRGpTkQ6yLkzM/2s2qmoZqoO4Ao6TIl2TQGCMoa7Qf+8FQnkU5Y4xZZY0iGZp4/m6WMUgZIyBnYtKI3OSMHzN/dbpSz5W0Sj0pvYCwSOqXfqLj/+5hOOLy9IkaXtYYjPcdI/x4AUDIzOiklTMhvx92EkPw8wxtnX1/o8YY/PG+pZ/DDmkAAhqCjIERTIKIifXGLdn3dU/MJkOhugBG1Gu4/DQNI+uBXrN+kIScCTVkYs/Zkw6FAuVJW32t378O/nI/Rswbbr0+oUfeYELcI9GUhkSS4bxbdVz/oI41Tfarx1zJrP6ukNA7eeOt9ZayWNdlyLSy1vV9es4cil1qKoF5e5nnfE3GOVZrsDktKj+mgfTJqvc/cd7YD37H0NYFS4E+dI4d0+2XaoiaFTtVqWTJyBCHSM54PAGBUFdMsNcAGZmIkhiC7N3Tjqs3fYSGRG7n4JpUAhoDgsOD8FcY42bUF+z7/G4x44ai3Bp3QRTSc5YNPFmcMsWY/SxFWeNvf/tbHHPMMTj++OP7vNfJGfGLX/yiZVU/a9YsALTkbOPGjTjooIMwadIknHfeebj//vsxf/78nJ/XNA3l5eW47bbbSOJxgxdeeAGpVKrPd1PE4oaciY6Vo0aN6vM+anKWLcZs5Kyrq6tkytlXv/rVtG2vXbsWkyZNspQxXtZ42GGH4Ve/+hXKy42bBy05sx9mkrNUiuHQS3UcfYWO19+37bfLa4xj9uIi4I2lQNzHyxoJyJD4OI8hSNKBfL3eVo3v7zRsmj/+hIKcZfujL7hxgtjs3jjSOO/5enBBptMuQs2QVTnTe3WAAb4KHzR/+uy/r8KIJ0ShVKUpZ8hd1sjJYgY542St0pxhlznlRDHMrHDDRqGFLJE0lJFgAAC3iTdjrp1Rg6o97JW8A+bOkXX+E38OL8/b95ssfcFs2IYy/io/tAyXQK3S2Ef+mHwvpUjwT7o6+4/rjTKrJK1MIB+apiHKyxoJ+gQ1QTmLm6WM7V3Og6BMIGcce99gG5TUEpSiir9nc6uGORcz/Ol54Na/AlO+ZpaYmdcnPmbFeM48xoe5DxuT1WVmZY90GWGGW6OTclZRBiQ7zXhqM8hZtXG8fNEUfASTREFh9mzHztwnLFfObvyOHfSkMcAhB9nnPeWSHk6wyFncjidYZ8ez94/2smOLdZGQxTvXvYd57c24uHmVo5suB+/fC9ba8YSGhTD1FsPAiUINHkgociYBN+SMOwJ+6UtfAmDbsVMk+pmJNe8jc+p7czJ4+MpXvmI95uoMJTlbtWpVn9fzOVXyOKjicUMa/H4/fD5fnzJGL5CzvfbaC9/5zncc3+cGhShnPGZxDIlr5L3zzjsl7TmLRqN48sknsX37dvzgBz/Ahg0brH44rpxVVlamfWbMmPQeFCrlTGPps7vL1gELlwH/W2z8zZWzmnrjmN3+d7Nx2lw0dts2auUs9/jWe4141uwxGluO2A2X7HEIWoLlaIka8XTsTGFrnqQhbzxFfDxqkrOoZo/pUw83zjNfmUmGmE6wzpn92AeG8izkjNvoB6r6TrH7y/12PP2onGXrgQuYhL9S55MoEvFk9MBlgju5VZTZZHHkkSMw9+WDceBf90ftjFrrvRU9cel4WAY549jSAqzPWC3DSvSr+x4zrdLYRyTkTIgo08SGI5ViiJsmNwlNQ6giPcXiZY3lFI6fwnkfj+roiTLseZZzXOXJvsqQv9yPPf5vMgDbqZCq5yya0vD+pxnhphhWmf1V1jHLIENlDcbfZSTqKytIOdtrApDsMFWhjDGk+TSLoJXrSenrUEg4KdraclwoGUOl+WW1o9IZZcgkR1W6vHKmCcY2AYcLt2gIwtcxFJ1iq6dUYcI3DWOQERTKmfB4RCKKsiBQWe783kMmc7KYfswqJxilljW6/ITDQEKRMwnkS/SdEsB3330XixcvxtSpRg8DT7RljTcykUqlclrBZ6or55xzDo466ijrb/5Z2bjEfVTIOmaZ8Ao54zjwwAOtx14gZ5qm4Yc//KHrbWYin3LW0tKCUaNG4Yorrsh6PFeuXOnqWGdD5u+56667cPrpp2PevHl9xidXzjLJ2cSJE3Nus7iA7Ic+pM+mZt4sy8zvqa43xu8bS43n6xqMvz/bRN1zlvu9KdMdMtJeiQta9sZnZhM+V67KdB33P0NHzrQ8m7J7zozvv/RLwP+dYbzm58oZRY9XRilqIIsxgJMzovU5ThZL0XOWxVso2hyzXPaylTVWm0mIjLooKmei2rBsLUMqxfCpua7rxNHCPqr0o/6AOlQ0VmDit3az4imL0RiCsCwdi3ucmf5DeQkhT6JF+EySnbkotBuI1v7+LPeRyi8w7NxmfFevL9CHdB82h071EK9D8SjDZ1vTe5hEcLKTST4CZqLPlT4qt0bd4dhdcz/Dft803lSRylJGaP4disvHk3mIfD6kLVnx9v0aTj4UeOR6zVpCJFjb90S0y4dT0mRIXMj8lbezD4ByPWWMtzIffEE7j2PMJrSVBKYyYt9iyOHmwStno3HnskbAJkfVxGWWGgwyvfyRvmNpn92Aey4wTXfq08krj49iwmEgociZBPIleI899lif56ZPn57msEdJzjIT61yGFbFYej3vTTfdlPY3j4tSOXOzZhonZfy3DDQ5e/HFF8n2TbHxiIYgIjJdI6nJmTg2H330UbS0tOCuu+7C73//+6xx5lsMuhhk/p5///vfAIDly5enxTtnzhx89pmxaDFfdoBD0zT8/Oc/z7rNYiB+J7fSZzpDvDXDPYvZbo21w+xjVh4Cpu1tjOvln6T6rHFTdDxCVpRPOeNli3Et/dLP/w6xFJp2SIVTxOpUQMxUzirr/djwDw33XelDWYgrZ7ZSJV3WKDz25diWU78ZB+9roFDy0gm+UdbY/kEHVt+xBrqZMPVu7MWr+70OANACGnyh9Ot5pdmMPyZmTEiUQjmbfi7DfU8DH601/97d3kcigfWX+XDgX2YBAELRhHQ8DIWPI26+kUlejRhNchaXnywSR0Q2chZPAO3bje/q9fVdqe3gg4xEsjolX9YoZrKJGMtKzAC7DzCTDAWFRB+QJNR51Nc7hRVgnMoaAZt4UJEzkST6tPTk/+D9NDx7qw+Tx2lZyxrFGCnIkGimE8wxk8ZLCP01DvHU0vWciX2LTvGk9Zw5lDUCNjmqTiWllbPMcyIYACaO0TDLrMD9+00abr1Iw8t3aki0ZSGLQjyAUs52Scgm+gCdIpQZT6HkbNy4cVi3bh0mT55ckrjEzzupKfn24b333psWz0AYgogK5PDhw3HdddeRxALIG4IAfccUVVkjP17i9sR477zzTtffUwwK3Ufvvfee9ThTOQOA66+/HlVVhtOVzLFLK5EzHaqWXvghXpnyGlpOeBVj4j2oSCXx8KdvWSVn9cPsY3bIfkCtWeYYZAyL+1b7FoVilLOOVuMN8YwxZCtnKfzj9XQ77qLjKeKj3IDEX+HHbqMzerzKbMIoX9YoEmrnALs+6cKCo9424nEoa+Q9cCE9RbDoc4Zy5tew4PNv45NbV6Pp74bb4Y43d1rvCVT7+1zPKyZWQAtqGJmISi+MrWcoeSKuvI/hjseM52bsoVlulpkElidFIQLzBMYAVqAbrq3COBBqM3ELxYqfGOyzLS03+bDi0W3lrDLDeCY03NhHtak4qfqaiDEsX5/9raGk8z7iiW1FUv6YiYuXZyOvHJwM9onH7B/i5Ex2DImLYfv92bdnkTMnMlRDp3aK6lQgx8Xa6lk0j88BewGaBuw32ViewYpHmpwJypnDfVbsOeNkJ5MMcfW1Wk+QukcCttL52l0a5t+r4aufB679uobxozQk2rnamUEWzfhGhVRZ4y4LCkLVn8pZZ2cnDjzwQNx2221Wj9D++++PSZMm9dlWf5GzTGQSjdNPP500Hq8R6mK2wfdffytnhVrZO62VV11d7fDO4uDGiCVTOeOgPHaAochULtuOLc8YSiHrTOLyzStwcOc2jEkY5xjzaxgukLMvHqoh5edmFymYS/q4RwELCFtvNV3dEoJyNn4k8NZDZkka09HeBTTvdPx4QXBDzlDukFgTljWmK2eC0ig8/vDyZWDmelGOypnYA0fccyYagvSs78Ha+9bjo+8us7/biSwGfKgw+ytGJqJShFHMEzP1nlQKWGUI0pi+O5DqscsaRQQbjCQpGC3NOmcL7nMma7l6zgImYawgIGe+tLJG5x9Xl4zj8s3LAQATJ/kxoj49Zr7OYU0yQaq+JmIM3/5V9gHAyU6musiVM07OpJJrIZ5cxAMA6v25lbxALCVtzc7QVznLdo4kc5U11tKRIZGcFaKccZVq0YMael7SUFmuEStnucnif425KsQS9nnWVznjZY0JyJ5mmec9X5euvkbDYTO0tJw22Z5I+34Oi+BHCcb0AEKRMwlQKCf9Sc6efPJJLFmyBNdee62lnHF3xkyUgpw5lTVmWqOXOqkezOQs8/s5MuMrJTlz2vbs2bOxfPlynHrqqdh///1zxuYGmd+Z7xiGQqGs30ty7IQ7vAaGPR58P+3l2lQcCcHggoX8GFFnn4tfPsIoeQKMPoaXI7Jljc6PHd9r9pxNmWyPoUtP1bDnFN70biRFUv1LBX423hJH4J2txh9l2Xu8yojdGvkvj5y9BO9+aZE1nuI77euTY88ZaVljusoQEGot19y1DitvTJdTs7lwlo0ykv2GZEyujFDYfq6yz0OmCWWNmYl+XTo5ozQEOWAv47vPPd5w83zpV/b5ZPec9U2sgyYZoiBn4tYr9BQOmwGcyLbiyLYt1vPfav4Ee/caS9eMHOcQj6WcJeTVV2EDyTxLBQSzlDXyRLbCvDfLjGs9JSb6uX/cSbOce858IZ+x1hhjKJfs8TKUM2HbPuffF2+Jo/nfxnUod1mjvIlLelmj8z5qjHXjV+sWGe8x4/H5NJSXaWkxVhEoeT5hhzj1nAHAwo9YmpV+pgEHV8yrUklruQ23EHcJQ3qPYCa4chbIIIuBGj/gAwKJFPwUE2kDBEXOJOBl5UzX9bQk/t5778Xrr79u/c3JGbcazwSVIYi4j7hZg4itW7em/T18+PA+7xHjGQhylkmGqPrf3G4jk3RnKmdU5jL5yho5GhoaLIOb5557znEbMshFzp555pk+73cqaeQgGUfCEDqgq8Xx9aR4jAIavnS4Uc74/a8aNfRHHWkkjbXJOD5Y7T4UoLieM77eU02dPaaDfsO5LTQihABjGJmIkrm25cLC499F2XJDotMq+pIhrsTUJuPkZY16Use2F7Zj51utSHYmwVIMPWvtBcwd3RorbAJLmVhrAMqiuckDV6syUTbKmFyrT8blYsowuXHC2/draKjRsipn/mo/fGU+BBK6fJllBjm78Rxj1vyP1/mw4QkNw2vt1yqtnjOHMTTMJB9xAuVMKGvcZ1gCj1zDcOnyD3FV0zKUmyVfE2O2+7BToh9qsMkZpclNa6v9+J3f9VUY+dp0wSxKVTlBWaM4AAPIvaFANEcZoUg+JK9DoqmMlmXSafE330fru23md/f12hfLGmVVGFGVzqYunr/Vtrnk41cEL+OrJFDOtLSyRueNvfAewxtLhbLGzDLCWls564lmfro49FHOcsztJtqdyaKmadZEUVVKXu0cKChyJgGK5Ly/es4uv/xy/PnPf7b+3rHD6PrPppyVwhCE25znwoQJExx75QbSECQTVP1vVNsoKytLO7alNARxilccQ2PGjMF//vMf1NXVASgNOcu3zVzjjIac2ftgWk9bn5er9CQuaP7E+luL65gyXsPC+3244zvG98/Y3yRnBEla2j0+R4bes74HVU3GrH55lX3p545yNfsaJagHdrXI93o4PN8yvwXRLfbdu2eNfZx8DuSsfIwxroYnY6SLUPsYs3pMAGDdbzdgxU3pSpWTcha0XMBoj5mPMVSta8v5/qzkbCRXzuJSSpWeppzZjy8S1hnafZwZS5aeM03TUDbaOGbDEnLHzPgt9n0g6BeURr+GA/bWcPHJwPBEFMftNKwknZSzkJncVhGQMzGxnj0ugeGd9vj91bpFKNNTGBO3JyB5CWNaPMP5eS8/4SCeZHrSiK2mEpizr4ampzR8+jd7/wXizgSWE6FyCuv6ZGE9Z1WpBPSN3cb3O5CzoGDAIesemTYp0+ucqLe+02Y95uRZBKUhiKhKZytrFJ/l4yUtHoG8SpMz4bzPFs9PzdTCLrXMopzphiFIIuk+p+nj1uiwLh1Hst25zFKMsZpiEmSAoMiZBAZbWaOI9evXA+jfskYn5SwTFRUV+Na3vpU1noEwBMkWy0ApZ0745je/iZkzZ0pv0w05y1RfTzzxROzYsQOapiEej6Ojo8N1PEDf3yMueO2EXItwUytnThidiGJsQhjrib7fFWwIAhpQk0rkXTg6bzgFKmevHzgfNTuMpKhMIGe8dGTEPEO1PrxjK4ENejp2vtOKd78UwavT3sDHK5P46aXpbp6ZKgwAlI01xtXwhFzJHtC3rJHf2AFg9e1rsP7+DWnvd7Jl5zPGJLOxLD0pavzd0txvz5LwhEbYCqyccuZsdrHneA23XKThmq8Boxo0fPbIRmz8SxMAZwJrkTPJMksjHCHZN7PQ9g86EG81zu+fXqDhF+sj2N1Uq5yOGSdnlS6cgjMhJkuh3gQWf90uZ54U68JTK15FtW6PK0eCX2+c91WppLxTgahUmYk1VxTHjdBQUwn4mI4rNi2z+m8yCSxPbLnVvhQZSus5yz4Yf7v6bSTWdjvGA2T0eEleh8SxrHUmcPx+Cdy/eiFu0IxyBb6uIQcvO02LxyRnFRRlhMhNhipSSczt3G4/4bAbKa30xTFUnkU5A4Av7diACj0Fza/1Gde8rLDGVNZk1LNshiBOyObWKMZEUfo5UMjx022Ew+HbAMwFsB7A+ZFIJGE+Pw/AXwCsAZCKRCJHZdvGUISXyxrzrXO2c6dRTlRqcibGVIhylq/M0kvKmZfIGUBTiuqm58xpDAUCAcydOxcLFizAa6+9hlNOOcV1TJnf2dbW5npbFMeu2DGkOWTNvoAP/tog0J5AZSwOwLnXsrCA+j7uberFx9esQPv7Hdjv9qkYfcKotI+UC4ksvwEOP2I4gE9RnUpI26BnYufbrdbjjz73Jg5MpifLToYXFeOMa8HIRBTthDdYH2NWv0LW9zgYlPDG8xqdYDZW+PyhHVuzvy8PeN9XhZ6SI0OiIYg5vhsSMez23Gf44i27WcYjy65Ybr0vUNn3mHG1c5ik2qnr6WQo0JNA+9IeLDjqHVTvXYUjFh6GkfUaxglKlZMKU2YqD9WJ7BM2hUJUFIcv34berbknG/Vo3+uw5tes874snkSBKZgjNNY30R9Rb79eFgT279qJo9uNnjhfefqaWQDgq/BBC2gIJnUEdB0pXaJHOK2P0vng+5mOEUm7MSnopFTV2om1bM+ZX7wYdSaAl7Zht1g3dlu2Du0fjsF7py5K+0xomINSVUOnVIljqMLs771tfQRVqSS+u8cc/GTDkrT3J7v6XqeChMqZaCD15VkJvFMG/POnGiaNAaq+YLy2Z287LtxqVIIE6gJ9Jv3FigKNMfREC3NZdUKhPWdNj29Gy/yd5vfnUs4I9tEAIa9yFg6HZwJojEQihwNYCeD0jLc8HolE5u1qxAywk7RRo0bleWd2lGrNrHzKGU9wvaac1dfX46CDDgKQbiahyFl+UIylYqz0ObKNod133x2AHJly+s7W1tYs78wPimOnOXzUaZY8H8omGb1x47q68rwzN8SSNK6cvX/+B9j2wnbEtsaw5JtLoUfTg66s6VvWSDVDbAyh9GuPqA7WJvuqGE7uiFV7GPtnfLyboJwoXRniCztng+5gsCD2MVBa6U+IO09a7Xb+BJSPc56s4uBqUYUut26WeHx4b8lVTctQ/dx6LL3kIwBAqjc9y8mnnEmNIaQfM39XAltfMBSFrlXdjp/JXIwWAMpNJaSKQDkTl2Co3Oocg4hU1HkHBBqIHCT1vsfszK7P8MactxDbFkMoCGudRQB9iBnA+3OIerxSGcQDBhk7or3Z6smrT6aT5JBjTxVNWWOmcsY6EohutmWdBUe+jURbhnLmWNbot+KRrY4V46lLxjE8GcO0njZMjnXh7jXvYt/e9KqQcaeN7RuP4NYoX15txzMmmMDyv/gwSevFzqc249BpxmsjEjaZTuzsuwN8QR/8VX74YKhvMqYgYnoWYrpjzxljDB9c+pH1NzdFEmFfqwlcUQcIhZQ1zgXwkvn4BQCHZrx+Wjgcnh8Oh79HGtkgAE/wMtcIKwZUxhtAacgZpSFIvnI0AJgyZQrOP/98/PGPf8Tq1bZTgpd6zgbaECQbqFUhp7JGp21nUzupVOFi3RpzgbLnrLnG6NHSfRqOWJB5WcyP6hlGDdKEzk73sQDpTQo6sO3l7WiLpJ9ry3+4Mu3vqpq+ZY1BIlcyp7LGbGV5HCGHkrSqvYz9OyHWnUZA3UDsOTtn62q8d1ok5/udVA/bMpqirLHvUw0H16f9XTmxAvs/PAOh4UHs/8eZjpvhxiXSJiXCZ+tSRgI9q9uYmW5f3AYg3c3S+O4c5EyyFFXX08mQvythlTEBQNMTfdefcFI9ykeYazA5TAgUC6dJmUyMPW0Mqvcxxu3Io0c4voeTs8oc5dcFQThmtaaT3tQXV6F7dTdW/GgVWEsUV22yl2MQ+yzT4qnnZWmS61QJ52iNGc+FzZ/gB5s+wqVbVqIhEcMjn8xP+4ij6iGeZ5IEXxxDicUt2PDQZzk/w5VfEbYhSErKKp4xljbhUJtKYK9eu+R/smAmU/PDaThs/lyMOLKvQZo4iZaU6O8C0sd0fIcxHucfvhAfXr4Mv5phKPpjs0weieDHsTqVQLdMWWPaJF4cwQCQiqaw4Y8bLQOQeEv6QQiN7HvMqMbQQKIQTb0BAPeKbQcwTHgtAmBv8/Gz4XD4rUgkslj8cDgcvgjARQBw2WWX4ZhjjpGL2EPYtm0bgL5uftnw7LPPoqmpKe05rgL09PT0ea1YiM6HsVjMcmR0wvbt2633OX1vd7cxM9je3o6mpiYkEglX8YmljJnOjE4YNmwYmpubrXHCv5MbmGSLt1B0uVApMr+v00ymOzs7rdfc7h9+HMrLy62154qNh4MrXc3Nza73kUigo9EompqarN8LOKtg2X47V0p37Nghdcz4WCwG2b6PE7vNmzfnnLzIhYQ5ffrx2OF4pG4SZs7VMAsOro0mUrtVOMYTKzduhmXm/nM7hro6EuDavR5PInLmkj7v2fjnTWl/x1OdAAzTlvb2nWhqikLvNe5ilXoSW5q3o6naXSbS1qWBabCSx3cueBc7n27L+Zko6+7z2xljYH4NlakUYt1RNDXl3kZOCGVWU3udJ4km/KQRG280Yuho6ewTTzxqHC/DEIRJjel4tO+1efzd41D21zI0321cJ3vKelDWGMI+r+4FXUs5fl9HzEjuKvUUNm9pxshat2PIflybTKRNYWtVPjQ1NaFneXrlQ0tvC7qb0s/N3nLjej8sGcfO1g40NblThbc0B9LMEzofWIHOT+x7yQeXfIT47un7sC3ZhkRTOuFJmP2etckENm3a5PqcB+C4TsWUV/bB6qOFiY/dGCZdMQG9q3qROiDpeCxSQdM5Me7uWHHEeu37RU0qgaDQM7T5n1uw+Z9bkJm2On5fjfFfXTKObdtbkBjrLq7OTpscc3L2xZ0bAQBHtW/BOIckf3NzX5IdDcSsbciMoc4eLY0MdT26wfF9428ch9oja8GiOra2bzWyXAEdMeP+V6kn0d2TRFPTdoet5Ecqo1S3PhlLc2bkeK6hEaccHEBnXQc6Nzv3a2vlGvxRhlAiiaamZsf3FIKYoIb3NPdg45qNSJlLZbT88CM8+70OBH6Tvt8cx0aVaUiTSmL9xu2oneRuDO3YEcIE83F9Ko7m9hZE/m8dWv6xE5te3IRJv9oNrc+1pX2meceWPtuJ+owxVJ1KoLXN/RgqNRobG7O+Vgg5awPAjWvrAOzkL0QiEesXh8PhfwOYCSCNnEUikQcBPGj+KS9beAjc9j3b2lyZOPnkk/s8N3r0aABGj06uA1UIxBuPpmk54+IJ76hRoxy/t76+HgBQVVWFxsZGNDU1uYovFLIv2J0FKASzZ892/B5+osvup6qqqqI/k/l9DQ0NAAzLdv6a2/0zbJgx13HYYYdhxIgReOyxxwAA999/Py655JKC4uHgx3v48OGu95FoQ69pGhobG9MmH5wWlc72fbW1xmWjrq5O6phlU3czccEFF+D3v/89vva1r2X9Pr7sQLZxXwiCAePc8YUCeCM4FlMmAeMn+FD570q880Wjh+GdmpGI+vzo9Adx+q2T0NjY196/bVQc7diKkK5LnWNVVTusx9UdhdWUjJ5kz8gOaxiGxkbNKBfRVqCM6WioG47GRnf9JxUdDKthz9jnI2YAMHJcAxob6/s8/2H1J0B7AlXMJzWGfNiU9z2NBzaifWYnOj7owOQvTcLoxvRy9URNEivwCar1JBjTMGbMOPj97pL9ULDvRMyEPSZgwk0T8NzdLwIAxk0fh2GNDTm3Uz6xAuvwGcr1JEaOHIOgvtnVfqqssEuF/WCoS9nEPNWaQtcfe7Dm12vT4913Qh83udA+ZdiIJgxLxtBeUYPGxrqiYwGA7T0MOyCsgflJ38R+3fnpKsi4vcahujH9+s4Yw2LfKlToKdSXj0b1iBz2b3ngY0YS/MCYvXFWqBkHfXssJs7cDWdOrMTPzF6h0fuNxripY4Gp2bezcdg2RNGFshSTuy4G7d9fm4rj/h2Lc7zbgNP3NY/dhp6lPahLxVHfMAbBYMxVXNUVNlGv1FOoSKUrdU6TIk7fE50Qw3bsQE0qgVC5+zHU3sXgQ1/yk4ndDt8N9TOyf0fF5FaswwbDgIO5zz+SSQYfa7P+Pqxjm+P7dgTL0ThuFBobs19bVtZ9ilg0hlAihXHjxrmedAgFbWIT35TARwctT3s9k5jte8s+jr9/48gmRD+NoUpPoLpmJIJBd9ehYXX2mAkyhtEVNWj5h6ngv9yBll+0YtPf0kmf0/f0NkaxHTtQpSdRVe1+DA0kCpF8FgI42nx8LIAF/IVwOCysNoLDAEiu2DO4wEujNE3De++9h1tvvbXobZTKSl/X9ZwnbEuLMdNfagMO8fPchCQXpkyZUtJ4vNpzFggE8Le//c16/vjjjx+QuJzKGsVeQaeFxPu7rDEbPv/5z6OpqQl/+ctfsr6HsqzRZybmptEZ6va3bwBLq4bh9vHT8bux+yA01nmSJFBhxBKU3D9pvR6dhZGzcqHXg5d9aJqGmNmA5tSIXnA8Lk6x8lpnIqiZZXuBmNySDFoBMVVNrsScZ2bjkBfmYNRxI/u8HqjxQ/NrqNCNxU0TMiGZO+nfwybgpfpx6Ll1jvXSQU+Fsc+P90LDnPq8m+GlhRWSZY0sYwiemzGjn0nMAOceL/5cdSqBhKTzX7b11jiiTekE16l/SdM09ASN57d9RlNGuCVUgY8vOwiTL54In0/DzoA9eVQ7vTbLh23wYxaSrY0VLmG7R7swdnv+tgEnhMzlGOqScbker4zS4//b/LHj+x4abYztva5zvtfz8tSaVAJRiUPGWHrfIgBU7FaB43d8AbUz7eNU0Zinr1MoI5Qqa0T6mB6VsMfvlqB9j2gJlCGURzYR+86k0pACy8XfrxqGl674HCZdPDFnPNWppFxZY0aZZuiW99P+FolZ+bhyHPL8Qc7xCP3BUtfpAURechaJRJYC2BoOh+cD2A/Ak+Fw+AHz5a+Ew+H3wuHwQgBNkUjkzdKF6j3wRNbn82H27Nm49tpri95GKd0ac60HxcsNuXKTiVKQs0LK9kodj1fJmaYZi6wuX74cH3/8cZoZSrFxUbs1imWFTqWy+dbKkx3bhR6zQCCAcePG5dx3lFb6XBTmyx35hbW6evz23TWb4xR/f1CyKD7fwtNOKBPsh8VdkTA7sHlpi6t4WPp6PtnwxMn2jTUrOTPdCLUeWXLWN6DyjKQsNCqEYG0ADbPrs661GKizk6K4REjcwbPLH8BvGveDtpdN7Ed8bjh2v2xyQbPhtlujZJKWsX++0Na33CwTmoNqKNqgyyRFxhpV+d9XNaUKBz0dxv5/mOnYcwYA0TIjUduxSa7vjCfWeobZTXOoAj0+P9AQskxscoEvGyFLzpzGdCZWVtThqsmzEQ8FMPOB6Y7v4epnXVLSPCHjOpRNGfr38Ak45Lk5mHLVHo6vc4Jfm0ogJkHOdGavTffsMKNYbvKlE6FpGoYJ/Z0hB0OJtHiIes50vS9ZBIDz9zwMd4yfZv3dVFaV00IeSHdspFo4nCNzSYqmUAVumHQgAg7r9lnxCJMyUlb6mfGsdJ5waDi4Hp977zA0HORcWWD3nMmNoYFEQT6ukUjk6oynLjaf/z2A31MHNVjAE7xCe86cUEpylmu9Jw5eopcJKkOQYsjQpZdemjUhGaqGICLBB4CpU416mC1b+tZR50Op3BrFvkGn5RBKTc7E3/PNb34T9957L37729/2mQzhJYu5QLJenvnZijIAPUCbQzl7QuvrhpiJAE/SZMeRi59SVWU3hYn3Q52f9wn3+4cVGFT7WGH2usr5vA/UBBAHAFlylvF3/YF1mPvSwdATOjb+tQllo0IFkaFgXQCJnQnjpp8orNzWEeYhT5mRZRsj+eAvN9VXxozj6LKlqlCCXx+u62M2IyIozOjLkDPRae+BMXvj4uZVmPnb6Yhti2HlzfYC73vfuCdGHNHXNEFEoioIdACtTXLkjJMhPWOcxHx+fGvPw/DYT30FjSG+tlcox+RpQXA4ZrMemoGlF35o/b0tWI4VlfW496vz8MrpzoOME2pZl9Zsy2SlAIjfnNJy50vcMbE6lcAGIuXsiZGT8b0/7oaJhxhlr7udtxs++/MmTLli97zHTFyEWibRN8a0AT3og8/sh9waqkC3MJm3qqI2LzkLZDha5lqsOSfM461Pa4BvmVHafOhrhyDeksDbx70LANhuqnrlOTistRC1rHLmMP5CI0KYdse+WHLuUuu58N8PSJsM7RMPNyjRk9gySMmZWoRaAqLq4RalJGdOJWiZ6E/lLB/mzZuX9bX+WoR6wYIFOV+njAXITvDdEH5KRQ+wx6RIyJyWQ6irc67nLsUYGj16NGpqahyJWCFqI6VyVllunPetXcDfX2H4xs90bBpnnE9Lq+zzKis5oyprNJO0pJCZjz87d71/lSAaiQkZTzx1GXLG0pMxAJhwznhUZqgKwaCG1yfthjdqR6Oq0Zno8DWPqJUzblHvC/ow8bwJGHPi6IK2ExQWXJWy1WacwprkzOVyV1rAGEMBpsspZ+YY+qzM7tlaUdH3vD7oyTDGnT4W0++e1uc1IF05i0uMIV1IrF+qH4d93zkS474yFpO/Mwl1s2xSzxfhzgVWbRyzjmZZcmZuD31LdzsCIbDKwjLkIHFZY3TqMEAz1ILRJ47G5yKHW29pCRrn1fb27DmKWBor5dbocD+8Z+xUnDH182nPHbxf7s3wJRrKpd0R7bkKHRrKd6+y1N7qPatw7Kajscf3d8+7Hb+pJFXqScTiNGN668l74t2aEfjNOGMytssfxJWTD8IlexwCXfPlnWOhWqjbIvgjyrH3jXtiyjV7oGr3KtQJZZ+tAeMcKw9lj8paV0yXU854mWWH3z6XJl86EWO+ONpyggWAYG3uc00krzKlsQMJRc4kkKl6ZIKbauRCqXrOkskkPv00fzNsNnJGtf5a5udrampcbae/yhqnT3cu/ShFLOI28pGzGTNmFBwXZVljPB7Hpk22mYKTcpZtnJdCORMNSzJRjHJG0XNWbpKzFRuAs37C8NeXgEvq98fp+xyJjoDgXJYl5CBXzrIs2FpwOObH15fbZi0rvrhv2nsCNQEc+Oj+1t8iORN3he7n5Mx9TLrDjH7jGeMQfvQABM11px4bMRlBP/D47nvjlxNmoKrc+cYfMtcY0hys7YsB3/ojo/bAh5UNmPrTvXO+Pxv4LHq5LkvOzP/MwPwu78S+oLEBP1fOXIKrHq2BkEXQfje27z4KVAcw64EZmJCF/PvL/WABzVDyYjJjSEisNQ3lw4JG6bdPw/DD7XtWWQHkTDNn2OMSpbpAduXMirnA/c/JUJksOTPjSU6oxrzFh2PuK4fAX+ZD1WT7gjNljnEsL/ty9sTaL5AzqUTfTKzj46rQ+LVx6PYFsKR6OGI+v5Xg18+ux4L78ihVAjmT6jmDTYZ0TYMv42t5K0E++AI++Ct98AHwx1OO17eC4hHU4GRVED/ZbX+81DDeen1VZR0+M6/h9XnSJFGhliLU5m/R/Br2+N7u2OsHRh+gL2RfkDaa14OKHIUCfmFJD5l1znSz5ywFDT+fMAOhI0djt/N2A+C8nlk2UI2hgYT75ekV8ipnr7zyCsLhcM5tlEo527lzZ0EGHPnKGqnI2R133IHm5mZcdtllOP7447FixYqittNf5Kzf1BcThZKzbMdJBHVZYyqVwjnnnJM2jriRTCGxlYKcXXrppVnf13/kzPiv0uzhFktddM2H3oxMe0QWo6hApfE+6Rl0M57twXI8uNtUtLAgmn8K/Fd4S+XulRj1hZF4cvQkfFhWjzcFjxLxlGBmBiNV1shLZQAsOW5fnD65Gw1z6qH5NByx7EgMOzKOHl8AZwHoNW/k2W78QbNsL+WwKHQx4In1hw0j8IU79kDFBHfVDrxfqIzpUrP6fKfrkmWNmknOAoyR9JwxaLh60mwsu7UHC2fWw7/qILxzwnvFbaoyAK0jAXQnAbirt9KFRFaHlrZ/AsKseSHKmWYuvpyUIIuAkOhneb3Q/R+spiFnvG8RPg2VE9NngPb58V5oWdCKK347Dqe2adhzvMMGTNhr5UmuK2Z+lvk0zLx3Og74IGUR2Zt3m4Wvbl+HHz68L3yZLCkDYqIvq5zxMZSCBonuEwRqAkj1xE1FOIhyFxXNonIGh5zx1bs0zNrTuJ9UlOUhsOY5UCm5cLg1hhz6R2fcOw3b3tyJpz8yTECG5fC6EdXX7qjMvcM8XpqGhbWjMfyWMQjWGrHtec0ULP/hSsy4x1m1F8Gv0xV6yrrHDDYociaBfMpZQQ3dJSJnhaK/yhoPOuggHH64UW7x1ltvWcsQFIr+ImeBQAATJ07Ehg2GhezNN9/c5z2lWIQ6c6y4KXOkdmuMx+OWtT8HX29ORH8pZ6+88gpGjRqV9X39XdZYkUXtyURtltUbApXG5beMpaRKZPkNjUHDx0GbCaaumA7/rz9C+bhyzLp/OnQG/GHEntA0o3/goKnAeyuAL8y2t8V7zmTKGvmC0Qwa1k9vxL7X2mO3Owr0mCUrL7wH7DSX8anvu0IDACBo7mMmEQ9gl6T97y4NYw+SKEM3VZgyPSVlCMIzfP6r6opf4QOAMasPAH6mS7o12klsVyCIiZ8zJ1zmNEALasXt//IA0JEAJNROwzzBjE1LN9VJtNqzIU6LGGfCZ5KzVExyDPHYshSdFUpsLIKv60ilmOvlGKxSXQeys/tlk7H7ZZMBAHvlUWF42Z50WaOeHo+oMK6uqMPPd5uFnzXmv4+JiT6VW6Ouaa7VacBQjGNb45YpiBtyxgSDEpZxzC4/DTjygMLHQYBKOWO2cpaJ8V9rxNivjEP8SOM92SYZAXFMp+TKGpPp6rTYSzf6hFEYfUL2+78IPuFQppSzXRP5DEEKWVOLqnwQKJycPfTQQ7jwwgtx7rnnZiWQVIYgTvto2LBhqK2tRUeH8wKLTii1Ichuu+2G22+/HaFQCG+88Qb+9re/4bTTTsOee+7Z572UPWfZCH7m38UQD6qyRr7Iugi+aLaIfMoZFcHPtw/6TTkzkxC/H/j7TRp++TeGb52oobIcOP8XfcdEtnPMb/achXSdxCVNz/ia1+vH4Fct46y/O3uM91WWGzEtuM8wMxlRb3+QJw1y5AxWPJm/q1toWeTErK4aKMvSzxAss8kiY8x1f69mJkVanln7fPCZx6xMT5H0nPEkZFr+1hdHkCln5meDQWDxQ+n7qFhirAUI1FdmH7NM5ax6H4PJB+oKS198ZZyc0ShnLFtZY4Gb52TRb6qvlS5VU4vZS45psQRM6jqUyk4WiwFP9Mv1FKIShFokQ7pkWLycuSrl3k4/zcVWch9xB0lpt0bzeDuRMwDmxIERdLYJNCC9NLaFwK2R/6R8xihZ4+FjiClytksiX1nj3nvn72ugIkFAYWRh/vz5OOywwzB16lRMm5ZdHqZWzjL3UXV1NTo6OqBpWkFxl9oQ5JRTTsFXvvIVAMDEiRNx3XXX5Y2lP8saC1HOqMsaneDkIllqx0+nfeQUZ3+XNWo+DWceZfzjOO4gYNyXCxujPGkMyqoellFB+jl25xPAx+t1zJul4ZqzbGLE+80CAQ0j6jO2ZZEziTEk/JieGPDCuww1lcCh0zVHJ68fn5c9UeG9DwGmIxrP3feQC1w587lNhE3YyplkWaOldhrIV8aUDZwIBcCQLHDNIifw82nSOA0H7J0lUasqbOfxMkJdohQ1pTOrIZ4hPUlr/Mo4gBlLDhQCPoZkyVlmKWomCl39RCTUsYQxWeIKllLl8vMmeBlhhZ5CUqqskV8Yjf8iD2m46x8MG5qB+R9m/1wmfCEfENTgTzCkojr62gsVGA8TTVwkyxoFR0u3jo1iqW4wYzLqoi8Wd/5ba69RKWcFkMVsFSCAWBqbknJr5ASfT1oF3brYCkper0SZ5UBCGYJIIF9ZIwB86UtfyrmNUpY1nn322Wmrp4fDYRx22GEAgEMPPTSry54YF5VSlbmPnn32Wey///54883ClsYrdVljIT1d1LGI28hHxo444ggAyFkOSl3WWChqa52L0anLGvMR1P42BHFyhB47QktL0m6/JPtNT7NK0hiJ4xbfxJx97RKUF98DrnuQ4eyfMqzaaDxXlSMZtMhZUiLRt3rONPzzdeD4qxkO+w7Dc28zxxv3eSdk35ZPSGRlymV4UuRzWULGYfecySlnWhZCXfR2NA0pAodNnhTlcjnnJgR5YwoSqK9myWgKALR05cwX9GHC18ejYoLz4u6Z8JuJsAxZBMQSufTnb7lIw5H7AyccXOB2uMMmdDn1VS88sc4FWzmTdf4z/zfPsQP31vCXG3wYU1wHAwDAZ06C6L0SpbFi36Im33MGmI6NUsqZEc/Rs4G504B7vqeh60UN03Yv7hiKE3sy5EyzDEHyv3fy2OyviQ6bMuXe4r0DcK+caX4NKDNMXFK9NO7V/Q1FziTgpAoV20tVKnJ2yCGH4JFHHsGLL75oPXf00UcXvC1q5SwzsQ6Hw1iyZIlFFvsrnkzycfnll+PSSy/FeeedV/A2BoKc7bvvvlixYgXWrl2bNy6qskaOp59+Gn/961+L3lYpydk3vvGNrN+XCyQEln80y/30G18w/j/nOOCqr+VQhQKC0x5FI755Haqr6qswPfY/YN53zXLMHFd95pfvOWMZqhDHJXcya8FujuF1QG2WNc4AW4XxM12KnHEylGeJpbyg6zlLnyGWgU5QiiqaOWRi9++ZvUvX9y3xdgI/ZozA8ZNBw31XaHlNJHLBz0tjJWzQgfSeswMFdfG6r2t49Tc+hIKFxaiF0pUz1zB3r+yY5sqibKLPMnrOpGIy+3Hl+hZt9VW6rLHatmZ3S2B13SaLFZU+LPitD5edpqGqovjARPVVhlBrXG3PMWnV/IyGtY9pOa/TfoHgS42hjJ4zt+QMsAk+kyD4AwlV1igBJ1Xo2WefTSMc+XokSmGlP2XKFCxYsACapmG//fZDLBbD008/jRNPPLHgbZWanBULShMOETfccENOk4lSx1KoIQgA7LPPPjm3VaqyxlNOOSVrf+BJJ51U0njEz4v7ZPTo0Xj22WdxyimnWM/1l3KWr3/pgas0HHsQcMTMPNvhN1joJMoZP3JV5UCX0Nvl96f3frU6LJrNwcybNJNQzviu5TfYmkrDCOSzrcCTb6Rv97iDcm+LK2dBxqTIEFXPGe8TLNd1qQVp+cHSAfz4fLmYrLXpZJQhrgY73K/2vmFP7PbN8aiYWJhS5Qtq0CFJzvj48wGXnip5zEJ8woFGOfv5RRpOKWxO0Xk7gmIuM4YsQxBJNTgt0adQYTLOsX0nFr8tThhlxjSzbNkBSCpnXKkKMOaafDDYYyhbj1fB8Qjl3qUyBOEYPSx/rAHBHVFmDOmCMREgR878VX7obQkp9XUgoZQzCVAQj1IoZ5nrd4RCIXz1q19FdXWOjs4MeI2clarnrFhiRhmLuA3KRagplbNvf/vb0DQNdXV1uPXWWwEARx55JN5//32sW7cOTz31VEnjAbKPoVAo3Ua7/wxB+LacXw4FjT60cSNy39TEskYK5YyXglRXptvjt/1Xw6t32bFck0PNs8saJZKijN6nOfsCu5slMfdmDJd8xERUzqTKd/h5RtVzxuSUMx7P8Ydo+NE5cjGl+HkmU9bID7fDmNZ8GionVRZsxqJZZIhAySNQFgNl3PFTdjkG4/9jDy5sfays27HIEE3fokwsgJjoy6kw2SoKfnC2McY//GPhcfpMddFHOEkkMy9j9XZKXIcM5Yxv0H0sgFDuDTlCTVUaS1VmmdlzFpJRzvhabZLn/UBBKWcSyGcIUggoyRkVERK30V/9QoXGU2or/f6MRdwGJTmjVM7uuece6/EPfvADhMNhhMPhghZYL3XPWWYZYyHkjEL1tHaR7A1NKGuUUs6sNaoMVJWnlxRWV2o48gCg+yXg9feB4+bk2JS1CDVBUgT7Bru6Kf09558A/OwCDWPzEFifUAImRc749mR7zsSyRoLEemSDXKIP0JQ1WuYSBGSIuxHKJEXWcgwU5Kycl1nKXft5SZq06iEsHE6xkLlsPJp1HZJMrLOsmVVRpuEn3youRqs0lmCSiF+HpJQzgcC6Vs6EnjPpYxakUc4stTNAR/ClyhqtY2ZARjnjk0Q+4mqr/oJSziTgpHrsscceRW2jFFb6FOSslCVp2ZDLoGRXJ2fZTDdEUI4lwCjRFQmPpmk4+uijCyJmYjz9Rc76q+eMqx6yvR6akKTJuDUiQ2XIZvhRWa7hhEPy9O/wskYS1cP4PxgArjoz/T2//0F+YgbY6qJsEuIjPmZBWdWDb4+gP4eTM5mFulmWxNoNuAGHTGmspb7Kh2MrZzL7hzFbfZVMZHliLT2GrGMmFU6GckZA8Cl6zszzzCfjQGqtt2hAZp0zn6B2SpEzMoJPYyZF1YtLRRZZRi+uVM+ZGZMmY0E6gFDKmQSclLMxY8bgo48+shZ3LrTnjFI5k52JBejLGnPF9MQTT2DhwoU45phjSh6PV8lZ5v4R//7Wt76Fz3/+8wXHRVHWOGHCBJx88smutwOUnuBn/l1MWaPUOLByEJoZ6wAYkjKJbIZyVl1Ya5Dztvj+IUmK7Bvsj8/XMHca8IfnGE77XOFqkVi+Q6KcEc0QUzlsUkyP8mOWkFlkOY/JTTGgKCfSUwbnoFDOghVmSiyjwoiJtaxiLkzKyJCzbD1eRW9HuA6lJM57UnLGx5DESZbKMJeQKmsM2gTWdVkjoXLmEyaJKNROqnikS2P5MbPUTvdxWaWxUjOfAwdFziSQTanKtX5YJkrRc0ZZ1tgfytkZZ5yBM844I+d2Sr0IdTEohSFIrv1z5513FpTMUpY1UhB8L5Y1ku4jyRlrTdOQggY/GEl/Dr+h1VVr6OuVWCAC8v05qQyDkmDAUO1OPQI49YjixpVPmJFNEPR4UZWAyZbviGvlyYKXosZ65Qk+RTxcOYNMv1CSkZGzUIUPMcl4xAWE5ceQneiT9JzJxqNpYD4Nms6Qkln0OUffYrGgUM74cgwkZY2ieZOUcmZA+pgR9QlqVORMNCiROM94z1mKsLzaJzWLNnBQZY0SKCSx/slPfoJgMIjbbrvN8XWv95yVap0zt/FQGoKMGTNmQGMRt5Fr/xS67yjdGinV11KRMxnljMIQhEJl4LO6SRmbb06GzHjqq9MNQYqCj6AkLXOtGgkSK5Z+ui8nslcTk5mJBcRyIh1JGSt9ojJLwCZncZlFlgkTa64yyPR62D1n8vEEy+XLm8Q1s6St6/mYll3njJ+iBPuIEUzKUCl5gO2wKcM8uOMnT/RlbmmaUEZIopxRjSEit0bZXlzNrwE+4/KRkrp3pCtnMuCEUYbgDySUciaBQkr29ttvP0Sj0awJdn+UyLnBrmAI8tJLLw1oLOI2nPbPddddh+7u7oJdNinLGgejclbIGKOx0ufbkt9HKZ+GYMpw2iuAWzqDpd/Qci0ynXdT5qy+zCLUfMZa7DlzC4o1mChL0jSqMku+RhVBjxdvpolH5WesKQxBuHIm1S9E6NYYMteR0iQSfcbs855OZSAqayQYQ8b6hrrc4vP8eFP2nEmUpOkZhiBDqefM7luUvQ7RGIIAAAI+IK5L9poa/1Os/2iXNQ5O5UyRMwkUqgrlet2rZY0DYQiSC9Rllo899himT58+oLGI23DaP7fccku/x1UKctZfPWf9VfpJVU4E2LO6qQQD3PaKsbT/UBaUUM74byLsgZNy3BIcLWWSIt74LqsMiWtUkfR6EKoeUuSMiLwCQjmRzHWI0BCkzFybziejnOm26iF70ERbdrm18gjJmRmT1Fp5JkiUszK7JI0x5up+xMmZ5gda/yu3kDlJz5kwhugcP92XWQLCJBHBMdMCGlgccr2dGeucycCqchikPWeqrFECu4KV/lAlZ1Lr1PTDItRu4LWyxv5WzvqNnBGWpPEZQimnvQzb8bJQrnfnAXdrlCknMg83I1hIlKLnrCTKGZNcOByEM9bmMUtEZcaQ+YCiX4gn1lKqh/E/I0gaQ6Zbo4wlKgO96iFvCGL+T7CPuKwko3qAVDmzyZDbSzVX8OHTUF9DZXghoZzBHkOyrqg+ArIIiL24UuEY4MsfyPRPW+ucyYdj9y0OTuVMkTMJUCSyvE8mKdXAYMDLbo2y5IzaEEQmnv7uOSsUu3pZY+ai1E6gsdI3/ycpazSPmUzPmflR/otG1EkExMmZ1OKv6S5pFD1nsi5p1pEi6/UgKmskmbEmKGtkhIk1VztlCL6ePuEggzKrrFFmTNP3C8maOVBOElEYAWlE1v5A+iSI6/M+STeGKMgQY4Cf6N4hLulB4RrLx6RcTOZAlFFfM+4dMuDqq3+QljUqciYBnuAVsr5SNnBylkqlyMwuhrJyJruPKAhsf5U1FgvKskavkEWgsLLGb33rWznXycv8DIVy5iNIQnSxrFEynoY6Ddd/Azhwb/eb0gjIGbOUM3n4CBrx0xZ/lbYdl++Bs4ICTWLN1TcKK32KMkurJE3mOsTHH2FZoyajnFH2nAlqMAk5I+xbpFjInLI0VobAZq6ZJQPRmMhtPLpOp76KS3qQrP9IMIb4PgLBMiwkZY2D3BBEkTMJUCTWmqZZBC2RkFvVtBSJPlViLavEeMk9kpNxSrXTK32CXosnV0zipMiNN95Y0LYolTMKlYFiAWGeFE2dqOHnF/oMa2yX9yNuCCJzg9UzFn+NS5wmvKlb1hDEOlKy16GQqJzJq50UY4gTxmRM4lpNuAg1hZkDpSFIWTmBuQQzjrmxIbl4RDWYpF+Igpzx8loJ5Yx0TIcolTPpcNIItVRZI1EZITXBl3VrFGOS6TmjVM58whiiqHLqbyhyJgFOXGQT2WAwCICOnFGWpMkSEGorfS8oeVTHiyoeDgpCXQpy1h/KWXl5YRaFtMoZBTmTd0e01hciSEIolDO+a3nPmYxduCYYcLjuOQOgEdmgi2tUUfR6EJxmFhlKyihn/KMUSZGZ6PskEiI9o49SBiI5c5uk6TqdcmaZ3Mgu+kypnAXoes4olTMp63rLNZZOFZI2BCHrW5SPB6Al+JZyRuD4SWGl7xdcUQchN1PkTAYUZY0AXbJPWZLGk91oNCq1Ha/1nFEQWN7bREnOvNInWAqC3x89Z2VlZQVti0Y5o2uitg1BCO4ehEkRI3Dc4r9NxvSAzMKaqKxRXKPKK4tQ86RIaq08wjFtWenLKGeE5hIB3nsCCVMZCIm1rFujplmKuUwZob2umFQ4BnjPGQFZpOg58xH0VFESfBLljLS82rwugiEpM4Y8p5yZ/1EQ6hCRujhAUORMAlTEg1o5oyBnFRWGr7dXyBn1ItQy8XByFo/L+CDTxcNB6dY4GJQzkZz1q3Km823RlTVS9HqIk41utxYIyZdZcqc9vgUpRzqeFEmsKyaqHvIlafK9MEZQdGSIJ0VJmUWoCdc548sNyPR4WeorhRosLMcQdXnJ1nVxUkY+KL5wuJR1PT9khMqZVFkjYc9ZmnW9S0JNaggSEsgQiTGRPMFPWSXxBASfgpyF5I13IChnVW6XluHxWGvB6a4dPwcSipxJwKvkjEL14OSst7eXJCbZfcQT8UQiIUXQKPYRP14U5IySUFP0LnrNoCRXTOIxLMSpUfwMiXJGYaVP0nMGMx4KlUGeLLIMpz2ZtZzE9XwoLKyllbOAfDyAOIboygjlTGWM/yiSNL9gnuA6nCQdWRRLY92SM8aMMkQAJFmTzg04JErAKK9DXH2VsUGnLJFLW8dL0hCEhuDTGBP5icoaAb5wuNy9g5d7+whWPOYGHFLKmUnORg7XsO5xmv7gAGMyq2gMGBQ5k4DXyBml6uFFckbRB+c15YySDFHENZh6zsRxUCjZplBgLSt9gjWq+DpOMkmabYPe96liEaQgZ0k++2lAzhCEz35K9JwxwGeZFbiPBSDs9SAkQ9Y4lBlDhCVy1gw6gYLPKOIRlDO3EwU6oz1m/LynsK6nXI5BKrG2FumWDkdQPWR6zvgYoiOLZGWNFCXxBMqZj1I5C3LlTOK8N+MZPRwYWS9b+skJtdxC3QMFRc4k4DVyVoqyRq+QM8DuK4rFYgMaTyl6zobS/uEoNTlzs/9JDUFIyhrpLKwpVIaQ2Z+TIjAE4U3dUmWNBEqV4dZI1XNGY2FtjyGpcADYJWAydZYWmafoNRX2kdtJEGtRbEozB+iuxyLlQuYALFdMXaYkjdQQxNyGREkaZYmcRqCc2aWxtGWWbm9nujiGvKKclaDnTJMyBDF+Cwmhtpx+lXK2y4HarVFWifFyWSNFTJTkw2tljV7bP4OBnFVVVRW9LdpFqF1vwgLF7KdtYS0fT7Bcvrwps6zxoi+6H9saweKvus7sXSN5mlmN+NJljeYDEtXDPGYyJXKEPXA88TTcCN1tgzn0UbqOR1DO3B6zVEoYQwTnGV+yQiewrqchQzyxllc7SZZjCMmf94x0EWoq5cx4THHM9ACdqYyPoAqEHzMZxdwqjSVdK29wGoIUVGkaDodvAzAXwHoA50cikUTG69cCOD0SiYTJI/QwdgW3RllyRhkTBfnwWlkj5f7xWlkjxfHKFdOkSZNw9913Y8KECQVvy2tW+jyRSRKscybe0P7zCw1fuYnhz9cXF2OozNCYdIkkjZcTVVYAq/+uYY9G9/tJ7BuQSYoAo8xSer1FgqRRDIpiIXO7nIiirJGOLPolZqwtpz2SnjyCfiFLDaaZSOOqh4wrqkY4hihKY2lt2eUTa9utUTocwfmPoYfCSp9gXDN+L5O4d3CySHEv85sl8T6pZWHoznvRrXEwGoLkJWfhcHgmgMZIJHJ4OBz+IYDTAfxdeL0GwPTShehdDOWyxlAoBE3TkEwmpXq8vJbse9VKfyjtH47+WI7h8ssvL2pbFH2LlFb6nJwlJJQzp5K0Iw/QsO1fxR/HULmGGIjWOdPkiBlgJ9Yki9ESyDB2iRyTKv201Ve6fiGpNaoolTzBEMS1mQNlWSOBcsbHEIXFNyC4NZKonTRkiAFmaazL7VH2LRL0djJKK32K8mqIPWcE5IwrZwSlsSSGIFx9lZGp+AQToXvkUDYEmQvgJfPxCwAOzXj9ewDupQxqsMCr5IwisdY0jcROvxTkQ0YZolCqvOrW6BVlkcNryzEANKWWlIk1t7BORCl6ztKfdnMdKCsnSPQJ16jShBtswmVM3NqfZAZd06xZXTl3RPpEVqp2h9L5z2+TIbcz1qUoawyAIe7ymFkqjHw4Bvhi7wTlzDQlYPLqK6kDqbWEhnszB1JDEMGYKOlyH4nKGQX54OqrjHJG2bfI1zf0pyQWfdbp7h2ilf5gNAQphC83ANhiPm4HMIy/EA6H6wBMj0QiPwuHnSsaw+HwRQAuAoDLLrsMxxxzjFTAXkJbWxsAoKurC01NTa63wxPizZs3S21nx44dAAzSILMdjrKyMvT09GDt2rWora11tU2eBG/ZssVK1t2CJ5ufffYZqqurXW2Dl2m2tLS43kec/Ij7OZFIuNpee3s7AKCzs1P6mHV1dVnbdLutrVu3AjCUJdl4qM4PPoaam5ulxxA/djLHn2ecbe2taGqS7Mk0PQ3bdnYikQi6iikRNyZ1ovGo9DHriXUDAFgi5XpbO1vjqAKgMyYdD782+sHQ1t6BpqbuorexY7vxvw6N5LoIPwAd6OnqQVNTp6tN8Mb39s52NDXJTV5EE70oB6DHEkgkAu6u06alZm+0V3oftXd0ADAS642btqCmsvhMrbPDiCdJMIYAoxzRB6B583Y01RWvmm/ZbJIpjWYMJc0Znu6OLjQ1dbnbiDnr0NHVjqYmudLxaCqOIIBUNI5Ewu9uDJl2qj0x+THU1tUGwJiU2dy8HaOqip+4bmuNogpACvJjKN5iTMT6mY7Wtk5Xx2zrtqClnG1p3izt9psyx1BHW6fr6xDvD2vraEVTk9xkczRpXMf8TEc0prva57FeM7dKyuewbV1GbhVgDE2bm5GKeq+2sbGxMetrhZCzNgC15uM6ADuF1/4PwD25PhyJRB4E8KD55yAUF7ODE4T6+vqcO7m/ttPQ0AAAqKyslNoOR2VlJVpbW1FfXw+/3+9qmzy5mjBhgqXsuAXFfuKq16hRo1xvgys5iUQC48aNg2besN1sj5tayB57ABg7diwAQ2Fyu63hw4cDMEoSKcYQYOwnmW3xMTR+/PiCF5vOhrq6OgDGWHIbkw8bAQAjRg5DY2ODVDyBMmNCpSxYiWAw98U6G4JBI1GoqKyQPmYtY7djE9ZB093FAgC11TuRAqBJjEMRS/3L4Usx1JRXo7GxvujP+7QkmrAMTHP/m9LiCawAEimU+cvQ2Fib/wMO8GvGGBo2rEF6DFXXRZEE4Nf8CAaDrn6j32+Mocpq+XtHcFQI6/EZfIxhzJixqK8pPgmtqmgx4gq4u+9kYrFvOXy6jvq64WhsLL6Gq7cngZ0wyhop4vGHjONfGapAY+OwPO/Osg1sAgA0DKtHY+NwqXiW17QjASAgMYY09ikAoLZWfgz5RvvxGTYhwHQMHz4SjS7Ko2uqtxuknOA6FAvGsAKfIMAYqmtq0NhYV/Q2NrbpVvLcuFujdIWTPYYqXV9DfOYYGjF6uPQYaq1vx060IsAY/AF3Y6gsYEx2lhHkH/7RAWzARgSYjtGjx6BxFE1Jcn+hkCKGhQCONh8fC2CB8NoUADeEw+EXAOxp9qTtMhjKZY0ATRnhUCzb8/l8JL1LVPFweM2tsT96zooFX6hb6rgRGoLw2dOkTHkTYa9HyGzq1mSK9C0zB/l4AHnzBKv3hKJGDrBKUaVc0kpQ1ijjtFcaG3SZnjO68ibAdkVNxlxa+3OjApJoYI0hGUMQa01sSht0idJY3oMZDNFdF0l6zgj7KANwby6hm7ccBiJTGe7SmnBfs8cNQfyE65wFZQw4+H2H1PFzcLo15r01RCKRpQC2hsPh+QD2A/BkOBx+wHztG5FI5LhIJHIcgE8jkcjPSxqtx0Btpe8lt0bAewYTXoqHyrHRa+TVy+SMYgyRGIKALrHmSYiUlT7lOmcVPEmTNwShiAewzRPgul/I3A4RN9MILKytxJrSwlrGrZHSoESw0nfL8bk7ItViP5ycJVySMyuxJhrTVs+ZRwxBeGLtkxhDqRQdOaNIrCnJmW1MJNFHmaI1lbEmiaSMieit9ANMdz+Jwfct4YRDUOKYDSQK0vcjkcjVGU9d7PCeXcpGH/CelT5lYg1415p9oA1BAGPf9Pb2euqYee14ieSMMeaaXJVCOaMwBCFRzswbiGGl7/L3ETrt8cRKRjmjdEkDYKsMLrM0XSdOinhiLbFGFa15AoHaSankCe6Irtc5S9FNOAB2gu52wV76Mc0nHCTGkLWgsXw4PLGWkRg4gQ0E6RJrOeXM9JOhMEgjIB469RiyTGVkrPRpHT8BY1KG6S63R2kmJaxNNySVM4XsoC5r9NIi1IC8EsMEyx6vKWcU5Ew2FjEer+0fKpUqGAxC13UppYpSEaYoa6RcX8hHoZwRJtZlFeYMusRUI6XTHiCvnHFbdqqyRp6ESKkefBcRjCG/5bRHu1aeW1Csc2a7tkmHY2yOlzW6PM9SlupBEw8Ilj+wFhD2iHLGFRzz1igFMbF2XUZIqZwJpbq6y33ECNddA0AzhrjhEolyJpQ1Sp73lBMOQ9lKXyELqBL9ESNGALCd8tyCuqxRVonh8WiaRpLsUxAiKvLBjTMWLVoktR2v9ZxRjyHZxcypCT4NOTP/J7T7TUnMoPNSEIp4eM+Zj7G0fV9UOJwMEfULWeTMbc+ZTp0U8USWYCFzgn3kJyhrLMW6azRW+lTKGVeoPULwCRZ99lkEn7LnTIKclaCsUYbg2+qrdDjQfMYSGj5xu0XHY/xPV9bIFXyZMcTLGuXD0QIEZIjUSl+e4A8kFDmTABU522OPPQAAq1ev9kQ8HLLJvtfiAejIxwknnAAAWLJkidR2hnLPGSDfd0YdD+Ui1CR1+uYNhGLNLIokxF9m7B+ZBXuzrbvmGn65GWJqQxCehMhMx9pkSD4eP0EpqjWGCPso/ZAwBClRz5lbckZekiZZqmt8mE7B52NIRjGnJGd8DMmYS1CXojLJPsHeKG08XMGXKY3lBJ+658ztMSM1JhKUM1XWuIuBmpytW7eOJB6vuDV6kZxR7aP6+noA3jIE8VrPGeA9ckbSc2b+T5IUmeRMlyhr5Ik+SZ2+UJIWczmMqBNZZqkMbnvOzO0QG4JoMuVEoCf4Mok1pfOfPYYkEmvCGXRxO27Lh6nVVxrljNAQRFJ9TaWYpeDTlMjJqzCMXME395HL69CajXRlqABs5cxj16EAc78INeV5b/ctKuVslwOVW2NtrbFWTnd38QusiihVWaNSzkoTC6CUs/6Oh7LnjKIEzCJnEjfYUpg5BBhD3OUu4qoHVVLElTO3iaNObqXPlSoZQxDzfwrljKBfSCNUO3nySWKlT6x6uC0f5mYXZCVpXPWQWf7A/J8isebKmd/lmI7GhRI5CrLoRYLPlTOX59nqz8x7GUEJIWAr+DLGRKTHTFTOXM5iaKRW+kJZo+o527VA5dZIneh7xRCkVOTMC8oQtZW+1wxBFDnLDkpDEH9Q3g7Z6jmjcCXjjltMd62ckRuCSCpnjNxK39hHUmSoFD1nUmSRbgbdWudMykqfNrG23BrdmspYyhltz5mU+ir0dMtCtucsGgd8lnskXUlaUEaFsZz/pMMxtsfLmV2Ooc4uunMMEMoaJa5DnJz5CRw2NQLljNKYyLbS1127xg4kFDmTgFcTfa8YgniNLFLGREWoKdVOyrJGqmNWUVEBwL0hiCd7zqxtESTWZbypW6bugi4JEUtTYi5XibD6hcgso7nK4DKxZiVKrKV6zuhcyQJWv5A8wacpjbXNHNwmRUlz7FElsrwkzS0545Mn1ARfJrG2CbV8PLLKWW/MTvRJrkM8HgnVwyLUxMqZ20kQPqapJhw4GZJRX32EE40iGXJ7zDTCdc405da468Jr5Mxri1B7LR7KmChUPKB0ZY2unfZ2EeVMbp0z+qSIRDmjmG3kNzTo7ssa+W8hdkd0Tc4spz0aaJbKIF/WSFFOxJUzKXJmXRelw7EXoZZIihImiZIsSrHByxrdGoIQL0Jt9Zx5ZQyVyY2hWMJOJkl64CgWfebXL7LeVzkDjkScTlkEBOWMgpx5xBDEVs6kwxHKGgfnItSKnEmAKnH0alkjlXLmlR44MSbZfUS9zhnFPvL5fBb5cLs4dqms9L1Gzkis9AlusnzBVhk7ZMqeM03oOXNd1siIZ6wtlUFuEWrqxJqirJFkDPHlDwjcIynXzJLpOeOJLJVyxsmZ7jKxJldfOcEnMAShIfhypjLJlGBQQqG+8sQa8soZ+SSRy/M+maDbP4ConLmMJ8msUlR/QP7moYlrwblVzihNbgRDEOXWuItBKWe5sSsYgnhJOQO8d8yGIjnjNzSKpChQxm3i5Z32SByuhNlP18oZFyWJ1/Nxm8jq1D1nFMqZ+T9FOZFV1shkxhBhv5Bgpe92xjphXlb9ROYJlnLmkbJGTjrl1FfzOkTQL8TVV7/LrDqRpO05o1DOOIliREoVkyyvtsgZUTxWn6DLe0csAdq18oR7h+uesxS9A6kyBNkFQeXW6PVE3yvKmRcNQZTamRteI2eU65xRlFzxNYHcOoCJ8ZAoZ2aiF2QM0ZiceQLdjLWccmb1nhAvICynVBE6flKUNep0vSe2+up+xjqZ5DP6tIm17toQxPyfTDmTU2EA0RBEPp6gpb7KK2cka+URJNbUjp/2JJHLskaLnNGEw/eRW7JolKKaMZFY6dsmLm7dGkHo1qj5Nega4If79Q0HEoqcSWCoJ/qyJXJeU4XEmKgMQZTamRucnHnFEISm58z8nyCxDpTLlaYAoDVz0DSkzHMj7pKcoUQW1tI9Zx40BCEh+GXczEGmNNb4j2SdMz9X8iSUMzORDVA52wV4WaOsckasesiQM74tCiv9MgrlzIyLsDQ2yJi1FEaxsIRksnXF5ExcUmYaRaecyamv0bhRgkgVk+3WKLEINWE8AJDy8UmZwVfXqMiZBKit9L2W6PPfpbs807xIzqj2kRd7zgDvkjOvKGckPWfWwp3y8QTL5Ju6Kc0cAEA3SZXbhbF14sVfZcsIyRcQDnIrffmyRookhDt++iXKGinVV048/HDfc5YsWVmjV8aQfFkjpdNeQHIMJVP2dZEk0fdp1ppybs2SbOVMOhwDkkt6UJc1+iUXDo8Jyx/QlsQz9+ZLhBONAKBzchZX5GyXgleVM6pElm9HlpwpK/388Xil9LNUVvpDiZzxOn0KK/1guVw/FWAreVQ3NOnZRkacFPnl9lGpyhoplDOKYR2UVD0AWEkRiXJmLSDsXjnjZY0Bgn4qIxi5MkJrIXMPKWe0hiAEyhnhumsAoFsmLpLl1cTGRG6NgHi/I8XxAgSC75IsiguHU5Ra+iiUM52WwKb4+oZuq0AGEIqcSaAUhiBuLdDFeKgujrLkzGslewC9w6aXFqEG5In+UHdrpFnnjO4GEqqQN5cAYe8JYCtnKZezjZYhCFVSxC2j3V6HrH4hmnB4EkLhjkji1hiyyZBrUC5C7TPOEB+AlGsnOeN/qrJGa6081+qr+T/VvTVEYQhibotgHwWEdcXcIJEylFKALrHmqofrNSDJyZmkcpak7TmTVc6MhcNhxkRw3ovKmVu3Rk7OiM573S850TiAUORMAlSJo2iBLpM0UifWVMqZVxbFBlRZY3/HI7ufvNxzRtEvFCon6D3hHyWbsealIN4wBNGk3RpLo3q4XbAXsAk+zULmZjwSBhwaYYkcIBB8l6oH/5w/SBMPk+1bJF67z0dgKkPqGlsul1gbhiDmH0RjiMkqZylqciZ3rU6ZqR3V8hDWJJHLk95wayR0RxSs690aglCWVwO2cqbKGncxUCaOlGt4DVVy5sWyRreKEIfX1MVSKVVeGUOkVvoEN9lQpdwNFhDGEHFi7ZUZa81KiryhnFnlRBTrihH0VFm24xLW9ZSGIAAsUxm3M9ZeK2ukXueM9+dI9S1aaidBPEGb4LsZ1omkUFFA1i9kbsftdYicnMmVEVKXNfrKKJQzQnJmLfpMsAg1lfoqOdE4kFDkTAJUVvoArU28V8oavZboA3RkaPz48dA0DevXr/cUoZZVhoY6wadZhJquX4grZxQlctRN1CnXypn5gNrC2rVrG1c9aJUzmcTaR5jIkiz+qtONaQBgfAy57aXU6ZRFY0OSPWfm5YLaSt8zC4eHBBt0F8M6bRFq4sTa7RqQXO2kWudMdpKITzjQKWf83uGy5yzK4AOgazTXIVs5k78OUZfGKuVsFwOVWyNgK2duLceB0pU1ei3RlylJoyKwVVVV2HvvvZFMJvHMM89IxzNUyZDX4qHpOTNAkRSVVZiJtcSEA3nPmV9OOaN2SZNWzrh7JE04pOuc0awrJr8mFGX/EiDv+MkJPlV/jmWD7pIsJrihAJXqEZCflKEsa/RZJi7ulTOrf4lokohZ1yGX+yhFe8wgaeLCyzOpyxr9bssae4zP6UT3VnuNTPeLUFvkjEgxlzWVGUgociYBysRx/PjxAID169d7Ih5xO15JrGXjoY7ppJNOAgC88MIL0vEMVbXTa/FQqK+UZY1lFXaS5vqGRmguAYizjW5VD/N/sqRIjgwx6p4z7mwnYcBBSfB9onKmu90ebckV39due85s8kqkeljKmUuVwUxkqYwKbFMZb1jpi2YOrskZofMfYC8c7rq82lTcWIAozbUUfLfxmGpwiGYMyS4+H+s1PqcTkWnxuuj20sidMPlyJbKw1FelnO1aoEwc9913XwDARx99JB0PVaJP1S/klXgAWnXxgAMOAAD09PR4Ih5xO145Zl4jZ7LqK2PManwnWfy13BjTAYnZRhA3UVsz1m7LiagNQXjy4DIJ0YnXqLLNHAj6hUgXf3Xfc6ZZVvrS4QAQ+hbdGt1YyhltWaPbeHgiS5U0+iQTa8aYlbz5CFQGnzCGmAuCn0zR9i8BYlmjyzHEyxqJyJkmYaWfTDLresENfGTBe7zcXoe6ukzy6ieKJ80QxOU2eP5BdMxsUxlFznYpUCaOBx98MADg8ccfd70Nryb6XkmsxZgoyIfsGl5iPF45ZkN9DMlPONA2vqetDSOrnFH1nFG5NVIZgvBkz+2ya/xyQWyDLlXWyP8nGNZ8//jBkHRJPqiVKns5BtmeM5JwpPsWo73mdYio3EpWOeMkMwXARzCuKQxBgmYtKhWBZZLl1ZblPfG6Ym7U13jSIL6AXdIqC9s1tvgDxhjDjQ+YY5pIydNCvKzRvYLP+3jpyhrNe5kqa9y1QJk4HnfccQCA1atXeyIecTteSfS9ppxxcibTJ+i1Y6biyY2Ubs9YUyhDPJEJMubaBt1WzohK0ni/kEvlzFI9qMiQmaC7dUdk5MoZT4rkS9L8FOuKaRpS4Gqny20QO35KjyFicwl7nTN3YyhuKmdc8ZKF7Fp5vA8rqflITFzsfiF3ZY3JlF3mS7WPmKxyxo+1B5SzeMJeQ04jIkMyytnGbUDcnHAoryDaP35j2tIPBt3lMfNZPWeqrFGRMwlQujXW19cDALq6ulxvQ5Wk9W9MsgssU8cjbsdrx2yoxMPXqtFBc56RKmfEibXbRN8iQ0R3F1s5kzOXoF5AmKIkjeqYWdb1Li+NnJz5iWasuVuj2xlr6jJL2Z4znshS9QvZTntuzSWMeFKaRiJQ8146P5grh81E0riGAXSqh+Wy6FI545b3VG6NvPfVTc9ZPGkQX8A+9rKwerxcjKFY3FbyyiqJlDNNQ4qf927JGbFyJluiP5BQ5EwClIljdXU1AIOcMZfNJ0O9JI3SEISyrJFCOaMm1F5z2PTaGHK7f5JmssmIGqrSmqjdmjkQuzXybI+5ZYvEZZbWItRu49FLdMwk9w8A+KnUTnMzyYS7zweI+2Fs5cwtOaMtAeNljW4JfjzKyRmxcub2Xi8oZxTnvaZpSGo8kXVBzlJi2R51Yu0R5cxaQsMdGfITk1f7OlT8vTWl22SaiiwC9qLPbh02+WQFVUyW+qrWOdu1QG2lHwwGkUwmXa915rVE1mv9QoD3yhoVoe7feGTHUMK8yKfI1jviZY2667JGrnpQ9XjxRN9tYk1upS+pnHH1RqeyQbcSa5fl3uZ+TUIjI9QpTXLGmitnRMqQZaXvMknjiSyZUmUtIOySnJlW+gHqeCTHdFLTyNam49e0VNKdIUiAuqzR/GFuTVysxaKJyKI9SSTZc0ZEPLjK7WaSKKUbi9YDdGQRgKWcuSXUliEIlXIWkHT8HEAociYB6sRRVM9k4lFljfljothHXixrpHLYHKrkTDaeZIyWnPESOZmFO22liiQkaWc7lMgQxHXPmXljprKMlkmKALskLUlUkgbIE2r+W/xUM9ZWaazkDDpRos/VE7djKGGWNQaonPaklTM+hnxUcyDQeWmsC5WhFGWNlpGHpFsjGTnjypmLeOIJUakiuneUeU85k56U4T1nVG6NlpI3+MhZoJA3hcPh2wDMBbAewPmRSCRhPj8TwP0AEgA6AJwZiUS6SxOq90BNhqqrq9Ha2oquri4MHz686M97zYDDa4k14D3lzGv7aFch+O7JmdnrQbU2jGg/7HJY+4jLibic45qccbJIZcDByZnbRNZMpqgWW7X6hTxSkgYIibUL1QMQlKoy2pI092TRJENUTnL83HA5prs6jc9V19AqZ27HkNVzBjrljI8hN2vTpRmCELs1ui0p4L1hVIm+FjQML9wYcMQStnJGZXbBVWU3YyiVoo8HEJQzl2WEvOfMR3UdCsiVWQ4k8h4Vk4A1RiKRwwGsBHC68PLySCQyNxKJfA7AYgCnliZMbyKRMAr8g8EgyfaolDOvJLJeXOdMGYLkxq5SZum658xSzugcrgDjQuxWEOb24BrRejWyiTX14q+yPWe8GZxssVVLOXM5pkUzB+LE2jUZIjcEcd+IzxizZtCplDNbfXV3zDq7jHhqamhL0txa6XN1i5Lgy5TGJpJMsNKnVc7cr3NGXdYo59YYJFbOeP9jQFY5I5oAAezScbfKmY9aOeP3xCFqCDIXwEvm4xcAHMpf4AqaiQoAq+hC8z68Ss68onqUKtH3Slmjlw1BvEaG3JrceK3sM2GSM53MfQOWDbru0h2RkwSypEh2AWH+Oar1hWTXOeM9Z1RjyExm/G7HtJlYJzQfWVmjpXq4TGR5gkdVtgeJskbGgABoS640iXXOGGPoNhfsra3zhnLGSS9laawMwU8kDadHgN7MQbas0V9GY/kpszZdPGlfL6iVMzeTRGKPIBURAmzlzM0xYzoT1FfVc1ZIWWMDgC3m43YAw8QXw+HwcQBuBRAH8AvS6DwOanJWVlYGAIjFYq4+v6uoHl4pa6RQztQxG1zxpLjqQZURAdA1wM/clRMBIF8bxiZnLj9PrJzRlTXSlqK6Vc54Yp3S6AxBmOW05+7zPCmiKiOUcWs0ZvW5cka0gyTcGlMpAOa5WVFJlVjbLq1uUBJDEOuYuTUE4ZNERAHJ9r4maUtjYf4uNwQ/reeMbJ0z92OoZMoZv7+6KGvkYzqhaSijMreyFjIffGWNhZCzNgC15uM6ADvFFyORyAsAXgiHw9cAuBgZBC0cDl8E4CIAuOyyy3DMMcdIhuwdcMVk586daGpqkt5eMmncWZubm11tr729HQDQ2dlJEk9bWxsAoLu7G4lEouhtbt26FYDxuyji2b59OwAgHo+73h5Pyjdv3oxQKCQVDydWjDHXMfX09AAAWlpaSPYRJ4o7duxwtT1+zLu6ukji4WPS7faox9C2bdsAGBMgbra3ZbNxjqY0jSQewJyxZgzxmLvfqJlKcltnG5qaOqTjSZrb6+7qdhVPoteYXIom3e3jTHT2dMEPgCVTrrbX0dqBMgAJppPE09phtFX7GHO1vdgmY/8kNR+2bNmMAMHEPl+FIR51N4Z4grdt5za0M/mAkqaK0tnWiaam4tyHY0Ii29bZBjTJJ1Y90R5UAdDjxe+fmLCAcGcvzb11R6u5Rqrubgx1bjLuG0nNh82bN0vHA9gmR4ne4u9lrW011jpeW7ZtJllGI26WEkS7e1ztIz1h7ONoohtNTfJWCF293SgDABf3oqbmMssdsbOX5t66badtJrVp06aiqm+at4asCZAY0XUaADivT8aKv1anelLmNnzYuXNH0dcNJ8TN2apol7sxVGo0NjZmfa0QcrYQwJUAHgFwLIAF/IVwOFwWiUS4zNMOGGNXRCQSeRDAg+afg4++5gBPzsePH59zJxeKyspKAMCwYcNcbY+X2bn9fCZGjBgBwLb5L3ab69atA2AoTBTxiCWAbrfHj9mECRMQCBTkh5MTPp8Puq7D7/e7iolfUBsbG0n2ES+Nra+vd7U92c9nghvbuB0Dsp/PBFelfT6fq+3t/KQT3TBsniniAQCmrQAAaAi42qafrQYADB81DI2NVdLxBMpaAAAVoQpX8YT8rQCA8ip3n8/EmoYt6ALgd3neV5cnkQCgubiGOSEwZic2Yh18jLnaXmdHJ1biUyQ1DeMbx8FPUP6p+9YCADS4uw4F2HIAwISJYxGska8E8YWMSZXK8io0No4u6rM9UQY/Mz4/fPRwjCny806oqTeKfwJa8edtT5QhwFYCAOqG01wXU90xtGCF6zHUtKoFwFowv/t7YSaYxsdQ8dehijIjCWY+DeMnjCeJJ1RuTOyVB8vcXRd14/c0jKhFY2ONdDz1w7eiF0AQuZNqJ9SuZQiw7eZ2aMaQVsbQjGUIgGHcqHFF9WcO28oQYMY5UVlbSTaGENgEAPDrxZ9n8dY4lmEFUtAwYewINDbKXxeDFcZkdbnf3RgaSOQ9mpFIZCmAreFweD6A/QA8GQ6HHzBfPi4cDr8RDodfB/AFAA+XKlAvgq9HJqvAcPB+GLc9VdRllkOtJK2UMQ21YzbUe+Bk3RqpSuQAodfDZfmOn7pfiJeCuDTgsNcXIur18JiVPu8Xki1JozQEscoaXVyGGGN2v1CI5phBwhBEL4HNN+8587lw/ku3HSc2lXE5hnq6zaoNIhMgQG6NqpRZxsaoHGMBwUrfrVujEVOonGgMhSQMQdLWOSMaQxqshcP1eHH7KK10mNJK3+/+vGdCL26IJh2yy5kHoSFIQdJBJBK5OuOpi83nnwXwLHVQgwXUibXXyJnXrPRl9w9gK2eUDpLJZNIzx2yokSGvxZOyzCXokhBmkTN3n+c9Z8FyWkMQ94345r6lMgThZg6SPWdUiaxfco0qPW4c6ITmI7sOWWPIjQ16klklaVSJo4zTnpg4UpncyDh+plL2gr3UCwi7HUPRbtpzDBAmiVyMId6LC0KyCMnlD/gkUbCCmOC7GENiqS5VT57PZ5QAgulFn2cpHfTumgB0PzfgcNFzJvTillGRM76vByE5IzyTdj0MdXI21FQY0THQK/b+XjtmfOzx3+WVeKjHkKyVPpXzH2CbELq1QbfIGbXTnttVsbm1P9EsuqwhiGW0QhUPT9JcVunzZvkU2fLBwuKvbshHwo6HolcIEBrxXYxpnZVOOXNj5pDSRac9ovuGJDnr7eVKFf0Cwm5MZfQY7TkGCJMpbisKODkjMnGxDDjcuDUmQO5EKKWcpYCQORvoLydSyyFMWrohZ1HjN8R9hMqZ7ELmAwhFziTgtcTaa/F4dVFsqkSfIibq0lhZ8lGqeGTHNHXpsKxbo044Y20727n7vM9MZKmVM9cuaeY+8hORRZ+lerj7vB6jVRnERajdLBGRKAHBZ9yMMJH7fU7gEw5JwuuilHKWolfOfCaJcaWcCSoD1bprfsmyxmhPCVQPGYdNTg4IyaK1hIZrcmbcA8uqia5DlpW+uzEU4mOI6Lro95vKGey1E93E4ydSFgFBOXMzhjg50/xKOYMiZ1LwmnLGE2uvkDOv9XdRk0WKmLxGqKnJ0FCbcLB6KyiVM8myxoBO3FthWVi73ECKeIZYopwIsJUhqvV8uJLnZ0Z/VLGI99Ivx8DHo5sxxBPrVAnImZvEWmeiykA0poOc4LvoOUsBZcQqg9W3CHcEP9bD0rZDAbs0tvjPWoSOcNIKltrpon+JMQRTvKyR5pjxckQ3fYu6Tq9UGcqZO+v6ZAoI8fyMUjmTUcyjxv6Jaz46csav+YNwnTNFzlyCMeY5cua1xJovDeCVEjkvKmde6xOkVs74vvZKPLJkWi9lz5mrBXvthTvplDPzf8myRiqDEp9kz5k1q0yVyPp5WaMONyFZyhlhfw5XzlzNWFsGJYTpgPnb3IzpdEMQ2tJY16oHT2SJVAa/X0MS7hXqWC/xmmKwlVw3YwimOq0RKYsA7N5XNwTfjCehaSivICpFlVj0OU05I5pE8/mM3wcUv8iyEQ8ni4TXIRlTmVKUNQbdE/yBhiJnLsGTO5/P5xnDC6+pDKUqSXPdL2SSRQoL/cyYvELOZI+Z19RXr004cJWBlYCcuXLaS9r9QiEyMwd+g3V5Q0vyskYiMwdzbsc9OSPugbPcGt3x10S0BI6fvCTNRSLLyxoplTyZxDql2wYcVOTDVs7cxVPG6FUPrlS6SWTjPfRkSKasETHz4lVGp8LIGIJwchbX/AgR3e55SaubPkFdIPhUZMgYQ7yssUhDkBRQVgrljJcPu5mUMY9ZjLCsUeOOwarnbNcBdVINeJecDZUyy1KQM1XWWNp4qMeQfM8Zd/6jdEkzt+3mhha3Z4jJZhslDUH4jTlAlDjKKmecZJIl+pZyxlyVNXLljNIGHRbBL35cpsykKEmqnFFZ6dP2nMkqZ2SJtU8gZy7MExKcnFGZAEHOEARx+nh4GbIrE5deW4UhS/SDcsoZJ/hUZMhwa3Rvpc/7KEmVM7/7MZ3qNV1sKZUzfu9QPWe7DnYFcua1Ejmv9S8BdH2CXtlHXovHa2SR1/ZTJtaWcpYsPhG1lDPNhyDRBKhsIz7MEpJAiKicSMIGHbDXzyGzZefkjDFXyhlfK4+U4MuYOcS81XOWbqVPq5y5ImcpuwTMR9S/5NMAXaKsMWX252iEShWTUF8R58SDnuC7Us7M/RPTfCijuXXAb7k1ujSVKYFyltDclRGWgiwCwn3RBRlK9pg9Zz4f1RKZliGIGyVvoKHImUtQz+gD3iMfXkusvUZexZjcNHUzxqzfQqXmeU2p8mo8sj1npShrdJMU8XiSmoYgkSBsCSguJxv5TDe1W6PrdcXMRMFHZAiiWYYgLpWzKP0YknHYTJgqQ4J0jSr3Nug6ExJZcsdPl2WNJVTOXPXlmaWxICxrZBI26L4EV87oEn2rDNnNwuFW/xJ9WaMb5UzXgTKr54xOOUtJKGfUajAg9NFKlOom/X4yXwBN9ZzteqAmHoD3yIdXE2uvkFdA7pjxeAKBgGfWgvOaUuU1K32deIFlQG7GmjeCpwjJmVWS5nbxV+6SRtRz5vPLkTNLOSNS8jRhnTM3ESXN8p0UldQJcTkGmXIiwn4hibLGVEqY1Scy4LBt0N2aORCXpEn2nOklMODQZZbQiNOaXQCSC4f32s5/5UQpms8yBHFbGktrwJHu1lgkOUvRG5QA4vqGxX821m1eFymXY1BW+rsevJboA94rSStlPK7WFyrBMZNRYkoZjxePmUw8XiH4qVKWNUrYoCc1H51yxomnyzJC6kWx7Z4zlxuI05oVyCpnyS4jniQlOZPoOUuWQDmTKY3VmTirT2td74bgpylnVGTRZyfWzI1VvGnAoVGWpPFrowuy6EuY5JXSEMQvYS5hKmcxnx9VFTThcOXdlXLGSu3WWHxZo0UWiUp1AZucuTlmvI+yFOTM57ZEfwChyJlLeJGceU05o1Y9NE2zFCavkDOZskZVGpsfXiOLzOxl0EnLiYz/3ShnCaFfiGyJCMmeM74OEJW1fzAk13Om8USWiCymGYK46TnrMqaVk2V0xkQyZY2lVM7cjKFkXEcADDoIF6HmJWluSuQElYGKLGpCz1mxqgdgkzNS1YOPIRfrnPGyRsoFja1+ITfHrNfuOasqpwmHu8+6WTi8NGNIc70IdTJll1nSGoK4V6oS3aaLLVnDmaC+qrLGXQeKnOWH18iH145ZKUpjhxoZ8poDKW80Jy1Js3rOik9E4112bwUVpJUza/FXmttLqFzOrdEquaJajFZSOUvx8p0QfVmjq/WFenmvB+WMtYQhiKXk0fWe+Mrcqx7JJCNXPTRNs1SPVJELCAOw1hWjNHNISSwgzJUzKuIB2JMpPheJfrTNuG9E/QEy5z97CQ1WtJNtKsUspYqSUPPSWG7qU/DndKCcK2dVdJNEjKtebnrO/r+98w6zqyr3/2efOr1m0ibJpFdIgOzQQVRAlHYp/i4gwsWLoigXVBAUK4gFG7aL4kVUBBQEFZWaAEIglA0kJCGE9DpJZibTZ07fvz/W3udM+ilrz5yQ9/M8PEzOnJm8Wfs9e6/veluv/oNPN+1XxNkhhO5NLBSvOCuWNMtCbSq2VvqS1jh09ti2nV8TF3dGlc6NdSHzjpwHmtaUtAJb6QedB2GoXM8ahUOFiTMj3UlOkzgbsEnLZ4mSTleylAed9vLr/OdFWmP+DUHcmjyd9rjRgUA+URi3i5zfl/5s6CDuPjsiedwbnUiJzjTCpLP/yKchiN+dbehB5CwfcdbX7vhQSKPA92UEda5zxexECj+qrs+ncXB40vWhPGrOSlJqP+TXdJ8GsN0mLvk8y7rVNbM1ZhT4pFvjoUc0GgUgHA5r+53FKs6KJa0RCmvo4GXkrFjskblr+6fQ1Fi73z3dK44W1m7kLO73InKW+8/atk0godYoWK4pcubcYvNpgw5gxPVGGQamNeajF1O9alOU1JnW6Hd9KPcfTZ9Y60wnKqSVfr9+n3bTGgPJ3OuVE93qekW1ddxxfq9zb0xEcr9o7oGDTjHkDhAmxygMZCJnAY32FBI56+906jp1tWpktzrBHNMI6VM+pPNABjI+lGv0NZmCUudmEdAoztwar3wOGuNOLS46m8q4jYAkcnbo4IU4K7YUsGKbcwbFm9ZYLPYUa6SqGFNj8xKwTq2HrTH1ggIagsScU32tKWnuszoPMWTHbXxAAoOQpodsuEIZFLRTpPKwyeduZHU99H2Z/+U1OLzPPSHWL/DzObF2C/FTGk/0KaQNer9+n/aHfCQwMMi9eYLbwCWmWZy5kTO3IUsuGDH9kaqkP0/hAYQS7kZf3xq5KWn+RO43xkinfjGkuiO6kbPc1site03pPJCh+NIaS8rcA4fcfzbhHBJRqtGHpCHIoYcrzooprbHYOtsV28a62GrOIhF1Byst1dROiuIT1MUWOSvUJrchCF7UC+XxsXeLqBMaowwUkJLmDseN+Xza5gv5y9QvCqeSxPNo0ZyuhynTV4ifdJs55CGG3OirrbE+Jx31yCMlLe6mWWqso8zMqMpDvPbr92mfoXwSck8jTDoNXOIaI4sAcecUJJ+0RvfAIaDJpyHjQ3YeNXBBN1pepc8et37NyEMsRrscny7xKHKW6xq5GReaI2epfCNnCTstznRGzsqcbIlEHj6UdKKLhsbukW6tqZHn/mMoEXGWJ+4mtpjSGvv6+gAoLy/XYk8xbqyLNVKVzzVzr5dOcVZs16wYBX4hPuQ2BNHVXALAdrMI8+nW6Nac6Ww/7PzT8pov1JdpYa0r0OBGB8KpJNF86mE0pzUCpNwT6zzssfsdhVmmb+OY2Vjn0fDCEUM6o8GFNJVxBX5Co0+rtuPOvSia273aTUONaUyRg0xNXT6RM7/zb/BX6LMp3cI8j4112Dk1CVXqs6e8yq0Xyn19Yl36N/oGKiMABsy7zPZn3S6/Gu9BAAmf21QmN3vsSFJF/oO+zGdVA2UVbiQvj0MZ51nm03jgkJ5JKZGzQ4diqzmzbZuenh6geMRZsTUEKbZW+q44Kysr02ZPoddMd0S4GMVZQTa5XdJ0Fr4XEDmLpVPSNJ42FhL1iGRaWOsSZ76gj4Rh4AciPTkW4tt2Oi1KZz2Mm06UT+TMPUXXOaMqff3zEWdOZEhnmqVRQDMHN5KkNXLmUwOJITPAOWt7nLTGuMbPGGSiMPlEzgIxdc2CGsVZJvqauz1h5zMW0hg5K692fCgPe9z6JZ3iLOAfOPQ5t8+9L+p8xjRG8iATOcvVnsxIGL0+XV6Rnz0AqX79kTx/yE1rzG827lAi4ixPii2tMRKJYNs24XBYWzfCYtxYF1vkrJBr1t/fDxRX5Ex3NE+XWCwp0TSshsIEvltzpjOdqKCGIL0e1MA5D+xCNtYxn58SfbfG9KiASHeOUY9ICsNWw1qDOuf5FCDODFeceZCSZuSTTuQ0vEhq3DimmznksbFO9eiPVBWS1phy0q3imiNnbk1drvVCAEEnVTdYqfE+lBb4eUTOkk7krErfGlU4kbO8ZtM5PmRojE6HggPTGvOLnOk8AAHV/RFyr4Fzo/e6a+DKK/PrZglARL848wVUCrpBfk1KhhIRZ3lSbGmNuqNmUNyt9PPZ7BdbK/1ijJzpFozFJhahMIFvOA81n8aHfkGRs7Q403hCXOJu9HM3yG07HjV8hPWdgRBzrlk0R3EWd+Yd9fiD2mrgYEAhfj4P/Kj+jWy6mUcekTNXDKU0FuITzl/gZ9II9UbO3BqvXCNnrj06O/9B/q30bdsm4KYRaoxUFRI5K3EiZ2GNPl1ZXYA4c+6LgQp96xMODmgIkuPn3uc2ktKc1pjM14c8GOcBUOkI6rzEmfNsDWiMBgf8EHXXqD+/fexQIeIsT4qtW2Nvby/gjTgrlhS5gTYVW1pjPmvkCqFiEWfxeJxkMkkgECiapjLFtkb+PuVDgRqNysPttJfHsyPhpDWiMXJW4p7G57PRd9MaNUfO3Jq6aG+O4szp2tbjC1Kq71adfnL29eaeZulu1Eo1bqzdznb51JzZjviwNR44uK3r3WYsueC2rtfaBt0YkNaYY+t6u9dty+7Vxjo3e5J9SXw2RAwfYY3R4Hybyti2nZ6ZFa7Wt0ZVtep3BfJ41qdT5DRu9MOhAeIs18iZcyCD5rRGt24xlWs02IOmRJARZ/l0jXU7WoY1RoOryqHfybpw05MPFkSc5UmxpTW64qyiokKbPW6EyRU1uaK7QQkUb1pjPvYUW0OQYkyzLDabAo4481fr86FCGoK4G1lbY9Sj1C3Ez2NjHXfsifj8hHWKs4IjZwGt4sxNRe3szrFLWl8Sw9lYl2uaAweZNNtkHi2sXXGms0FJoCz/tMa2beoal9To7bTnpjXmGjmznbTGhOYUsPSMqjxr4Pp9Aa3RYNsd2JvjNUuloDTpplnquy9WVavPWNC2sXNtLNPn1uR5U3OW6zXzKnIWdfZobt1o1vR7IxarapxoZ65plradTv2cPFmfTdXlEPE5a5Tjwd5QI+IsT4qtIYgXaY2VlZW7/O5c8SJtzxVW7vrnQrHVnBVbWqOXYjHfYlwvxVmu1ywVTxGMJUliENa4cUynNebT2a5T+XSqTJ9PlzkRnXw21r3NKpW5KxRKD/vWQcJpYx7L8fQz3p5Ja9QZyXOHPnfnKs56Mxvrcn1llITK8ztBB9IbWTTOOyqtzL8N+s7t6prVjfQmcpZrepObAqY7rTGRZ9TD3Yj3+/1U6Lst5h05iyegNOWmpGlsCFJqpKMe69bmKD4i+huUGIZByvncR3O8Zn43RVxjgxKAqHNfTOYoPFyf1m1P9TBnJmUimdNMylTMxm/bxA2DU0x9sqSmYkDkrDdHHxpiRJzlSbHVnHkROXPFWVdXV16bay9SLd1/Xz6CsdiGPhdbVKjY7IHiqjlLp8j5A4RD+oRHITVnKSdShcb0HbdLmj+PyFnfNnVo0q3xvggQd1LK3GuQ9c85kbNuv960Rrf9dFdXrgONM5FFnRvrsFNEb+fRXMJwxJlPYxt0N/qaT1pjzLnGtcP1Rs76/E4mSFduPuRGzpKa63PcaHCuYjExIHJWqe9cL925z8hx1EAsZlNip0gBfo3NHAzDSLeen/98btfMF3HSLKs0pp+TSUWN9uQoztw11Rw5izmRs1yFh+GRPeFqZU9pKklXb/Y/5844i/j8lGk8tKqpUL8TJHJ2yFBsaY2rVq0CYOTIkdrsCYfDhMNhEolEemByLngRGSokmldMG33IiNdiiApBcYqzYqo58yoKYxdQc2b3KJsMjeLMjZz582jm0L9NHVr1lugVZxFnwWNtuaVYxzs9Smt0Otv1dOWYkpaOnPm1Rs5KKvIfIOxzm9x44UN5NHOwHQFbUa83ctbjUxv1RI4C300B09nNEgZEPbpzsycdOdMs8JNO2qYvx7lrUUfsRn1+rdFyAF+Fumbt23L73LtiqKzGGzEUyzG92u/WnOlsJAXE8oycuZFFnTPFIFPjV5JK0t6d/c+59kcMv9ZGUtUV6hBj4N9xsCDiLE+KLa1x0aJFAJx44ona7AGoqqoCChNDXkTOurtz+OQ7eBFd1CGox44dq82e91rkrJjSGgdGYXQ+QPxO2/Fofx5F1K4401jrUenUDQTz8OloqxJnkVK9J9apKiXOuh3xly3xDjfaqTmt0blm3e05Rj3cTYjPT7nGjXWZm0aY6zDapI0/miQFBDSmNVa40dc8BL47aqBqWHFEznBSwHRHziLOIMBE3uJMb+QsUeKKs9zsiXY6Pq1xLp2L4fhkZ0v2NiUjSfzJFAkMSiv1bnFjzqFMNEeB72Yh6Jy7NtAed9xDtriRRZ2jBgD8jtgrTSXYtjP755kbDY74Alrv0xWlGb+M5vq5H2JEnOWJu7EeNWqUtt9ZSNSjtbUVgHHjxmmzB/REqoolclZs4wYWL14MwJFHHqndnmKrOSsmcZZv3aIbOev2632AuEXrkRzrlyCTkhbQmL5T6Zw2B/MZV+E8ABOaowzhBkecNecqzgZEzjRes5CTvrViVY4Cv9utFwpojXqU1qn19ufY+c8VBv2+ABUaG5S4M6ryEfhulKFmhL6NbEWp8gGARGduURijV71fd+TMFWfJHJs5uOKy3683Bcz99/lyrKeKOT4U1TiixiXopNpab2a/RtEd6h7RHghRWqI3kufWHUa7coycOTVnPp3jKoB4IL+okN+jyJkv6CPh9+EHtmzJ3o9ijk9H/H4CAX3XzDCMdLpuz04RZ4cEL7/8MgAnnHCCtt9ZSIqcKzx0RoWgsMiZG6nSKc50RM6KoXukbdts3LgRgClTpmizpxAx1NXVBRTPOAbbtj0RjG7qb3Nzc04/NzCtUWcnQrd1fSzHtuwAqW79rf3deqFQKsW7G3NsVuBs1FKaN7IVI9WCR3fkK6iD6My0rBum1mjtutw2ReudxgbxoJ950/XZUzVCXf9AfyKn+mB3o9/rDzBvhj57Kpw26KFUKid7bNsmGFM21Y3UeOBQBn1OelM8R3Hm26lS+mNVGpUQA+qFcoyc9TrR2ngwoDWN0A75SGLgi6dyGmrsRs7cNE2dlNSqNepvT7BmS3Z+FN2u7hE7g2G90XIG1L7mGIUJeNQQJB05y9GHQr1qjfx1mhcISDprdOW3srepz8lwiHoQfe2sKmNlaVX6MORgIStxZprm903TfME0zXtN0wwOeP1s0zRfMU1zoWmaP/XOzOLCtm127NgBQFNTk7bf62703WHJueCKJzeypIv6+nog943swI11sUTOvExrzFV8dHZ2Eo1Gqaio0CqG3BrIfLpZLlu2DIBp06Zps6cQcdbe3g4o//FrvGmPGTMGgM2bN+f0c7EOdSLb7Q8ypkGbOenOdvEcxVkqlqIklSKJwWEz9K2PP+QnHvTjx2bhotzuRW4UQGdrf4CaCWpjbLTkVvsaGzCEWmfkzJ1RFu3JTXy0bXdS9ur8lJfq21jPdR7LpfEEa7dm/3OJLrU+fb4AsydpM4fKcoOI2x0xh1P9LS1QmlQ+VFanz4eCAYNYiVqj/tbsfToVT+HripEEAsP0bmSTpW4b9NwEfl+7Nw1KSsMGfe4eJIfNvtvAxYvI2Ygx6ndWJBN86gdZijOnKVF7IKw1/Rwy4xTiOUY7Q/3q2eHTmH4OKt07BSTbY6RySCEu6VP2+Ov01gYDGANSG7Pt2Ni33alV1nnq6fDq4RP4wsRjSB2vrx/DYHBAcWaa5hyg0bKsk4B3gAsHfHsJcIJlWScCw03TNL0xs7iIRCLEYjHC4bDWE31XxOTTfMONJOmOnB1zzDEAvPrqqzn9XGdnJ6lUipKSkvS8NB24/z5XSOSCF2mN+dacbdu2DdDbwAVg2LBhALS0tOT8s0uXLgXgiCOO0GaPW5Pppifmgpv2efjhh2uzB/IXZzs2OCfuFUEmjtZnT5lTn5MeKJ0l0Z3qgdbjD3DOiXrTd2I1Sgx1b8ztXpTyYGYWwIgZ6t5Y1pGbH23bMCBypjMVtSwzIDeXrmTvrlLrE6rSuz7ldQGShkFpKsnOnTmkEznitdcfoFbjo6MkBL1+tRHtbc0+UvXLv9qUpZwBwhq7RwJEq9S9qHdz9j7dv7Efw4aOQCgzYFcTQaezXbIrt0ieG2XQfQBSVwW9bnSxI3ubYk40u0d3mAooGa3uQ8PiEV5/N7uf6XizE4BtwVLtkTM3KpRrnWCpI4bQHKkqK/fRGQiBDbGW7FO+Sx2xGNR84ABQ36h+Z3Uizvad2f1MvyPOejwQZ9XOfa0jv4lQQ0Y2d5vjgaecr58A0nl8lmVttCzL9dIYkF9hyUGGe6JfW1ur9fe6oqGQeirdkbNZs2YBsHVrDsexwEsvvQTAUUcdpdWek046CYB//OMfOf/szp3qTqFTwOYbGdq+fTugX5yNGDECIB3ZzQVX0I0erU95uJ8R9zOTC8uXLwdg9uzZ2uwBmDhxIgCrV6/O6ee6NqpNSLBB7wyvihq3pXZuPtTerG69fYEgfr9ecZasU5ui6JbcxFDc6WJWXqf3VL/p8BKSGFT1RXJqPe5uHNsDIa21DH4nPSmcStHWld3PvL7SZpGlbC+t1rs+hmEQccIEnduz31i3b1Sbor5wUHutR8yJMmxYk709f3nWpizpzszSLM5q1UFqLj695SGVMbK8rJaqcr2fMX+t2oim2mM5RV/73KY4mtvE11UZtAeUgHWjT9mQFmc626E6lI5V96Hh8QidPZBI7H+dbNtm26Pq4PPlqgbtkTM3XTuRQ7dGO2lTEompUQO1esVHZRnsdK5ZJMtrZts2lb3qgCLYoF8MlY5S9tQmomzYnt3PRJw6wT4PBH6Ns93rPMjEWTZ3v1rAzWnrBOp2f4NpmvOA4ZZlvbGX730K+BTA5z73OU477bT8rS0SVq5cCahN/pYtW7T9Xjdi1tbWlvPvdeuF3P/rwk2x7OrqyskmtyZv2rRpWtdo9uzZhEIhmpubeffdd7OOgnV0dDB//nxARXF02gS5r89VV10FQHV1tVZbXJHY3Nyc8+91BWMikdBmk23bhMNhIpEIq1evzinSvGLFCkAJPJ1r1NCgchIXL16c0++NLmjGB0RrA1rtsX0q6m1HUjn93rVvq/tFJOTX7s8JJ5rXt6mLLVuyOyW2bRvD6fR2/JE9bNnSps0eOwWbS8poivSy8OH1TH7/get/bNumpFttWM79SFzrGvUn1QY/lEry9qoWwvaBBcg9/6ikPKneN6oxqv2aRUoClEdibF6xgy1Zprk+8mAXhwOd5WH9PlTqh15Y9mYb9dMPXCPc1uVj66Y6AtgYpT6aW3JLpT8Q0cpakoDdEmXT+k34ggc+m974500APF43hktiHWzZ0qfNHiNcQ48vQEU0wcYVGwlUZydGuzd1UwLEKn1ar5mRKGVHsIQZ/Z1sXdZMf1N2IrZrgzp46wrpvS8C9JaosPTolLLlJw+0c/rcKMOq936QFd0co29dPz2hIMvLaunq3JH1/Ssb+h392be1J+t/a7wljs+GDn+QWHc7W7bkXnKwL/zUsDMQZhLdbF2+ld7hB1Yg0Y1RKiIxOv1BkuEetmzp0GYPQKLCqRlNRHnutQ7G1hz4M9O5XtnQG9bvQyFfNVDGuk3tbMnxsNFrGhsb9/m9bO4GHUCV83U1sEug0jTNMcAdwHl7+2HLsu4C7nL+mHvFexGybt06QG3y9re4uTJ+/HhADUvO5ffatp2up5o6darW+pwJEyYAKjKXi01uzdOUKVO0rhHApEmTWLFiBX/5y1/4yle+ktXPvPnmm+mv582bp82mSZNUoUZra2vWv7OlpSUt8MeMGaN1fdy0xtbWVoYNG5bTqAc3+jp9+nStNtXV1dHc3ExpaWlOv7ezU6WnzJw5U6s9J598MtVGNSNWj2Tk8JH4gwf+vLQ804rPaVNeObGKxkZ9Eer4BB9vsxkjZjN69Oiso3IbI0pMx0pD2j9jFY29QAvvLt//A2Qg8Y44fns5EcPHUXPqaWzUG2lIjW+Dd3pZ/UqI9116YJtW/3gtvpRNjy/AycfV0NioL9Oha1gPbewkZKfY1t2Q1b91a3uKaXElqI88eRiNjRpzY4FoTTN09BHqCtPYOOKA7+/ottm8rJ3Dga7Kcu0+FKrZBq3Q11mWlT3be2zq40rElY0u0W7PhHEpdgbCNCSi1FNPWeP+a6Ft2+atZhW9X1FazdjRAa0+NGJYitZgmIpoglq7jqos7yn+TtVIqnRUBY2Ne5yV583EcTZLgyrjoqQ3+3v18nWbSQC9NRU0NurrXg3Qe0Qva1nPCOdz86Xf1PDkGzD/J3sX1m3r1fa0pbyclGEwtnG41vvQmFmd8G+w21JZr8/2JWpNN4fLmdWg9744vD5FmxM5q0hUZGXTxvnqwGFpeS0Xjta7PgC9E/vZSbsSZ8uqufHymgM+05avUXvqjoYqrT4NMGlsijENMKy+Vvvv9pJs0hpfAk51vv4Q8KL7DdM0K4E/AVdZlpV7HtVBipseV1en90K76Xa5pjW+88472LZNeXm5VmEGKrIDuXdHdKMwbpqdTtwmJW5NUja44uyss85KC04duKMUckkjXLNmTfrrfBp37I9wOMysWbNIJpNYlpXTz3rl1+7va2vLLZKyaZN6iOjepI0cOZJ7p93PZ4zP0vlGdpHmrX/JnOKXT9Q4XAgoc07MA8kkvTkc7HVvUBuWfs1d5ABKRzh1A8k4qzZld6a24mvqwKErEGK43oxvAOomqX/nzvXZ1Qy9/SP1wN8WKmWE5meyv1Q9OktSSRa8nt36bG21mdXnNLlp0utDAAknFTW2Jbv1eXdplNPaVbr6MvSmwwOEa1VOWdvmA0cV27tt/vi0zdiYOmQsGaXfpy88xaAlqH5vfxZ1Z/GOOHbcJhoMEPf5qdJXqgxAdTm0OfZEtmZ3zZJ9SXxbVSQiPFrvGo0dTnp9OtdndyPqXddHYlkHEcPH+lH1Wu0BKGlU9lRHovhsdTi24HX2mQaabgYSUoJFd5bc1Dkq88PXnn3dYuu/1XNvcXkdfs390StKoT2o/pHZpjVueLYDgKVltYQ0p30ChEeotW9IRXnyVbj/6f2/P9YWI7G+l6jho7Whav9vzoPvfMrHpod9XP5hvSLUaw7oKpZlLQa2m6b5AjALeNg0zV87374OmAD8wjTN50zTfJ9XhnpFMpnkrrvuyqmhww9+8ANAb20O5C/OZs6cCWS6EeokH3GWSqV45ZVXABg+fLh2m77+9a8DuW32169fD8DZZ5+t1RZXnLliNBsG1jrlUmuQLW5fHrdmKxueeOKJdF1YTU2NVntcH3jsscey/plLL72UF154AYDJkydrtQdgce14AFb+tTWr90ea1cP4q01HMaJe7xPW3eiXppI056Bf21apDVSyQePALIeps9UDvzYR5Q9P2nz51ym2te3bV+2Uzeb7VTrKplA5IzwQZyMmqYd+39YDb0LspJ0etPr1pqOYoPdAn2CdW/QeY/227H6mZvVO6hIxjBIfFVM07/QB2/GD1PbsNo6b/radADZ9Pj83f0f/Basco65XTxZC6GO32PzkQfjENjU/tESz8ACYOAp2hNQa9W86sPiIOXUwbqOLKs16uqbSSEc9shVnr/9xB/5IgndLqihv1LtGR0zJCL6WVdnZ0zxf3T9fqWwAzQ1KAPwlfsIjQvixqY9nPveb93EW6t6n3Tos3TVnjRMCRA0foXgy66YgbQvVoefiinrt4qyyjLQPRbdld822vK18f0u4HC+6y5c44uz40erzc93PbTp79v3saH+tA4CVpdWESmS6l0tWK2FZ1g2WZZ1kWdbHLMuKWZZ1lfP6rZZlNVqWdYrz37+9NVc/n/nMZ7jqqqu44YYbsnp/R0cHCxcuBIoncuYl+cw5u/POO3nnnXcA/QIWMpGzXMSZ25lPdxRmxgw1HGjx4sVZNwUZGGW7+eabtdoDmdTGjo6OrN7f39/PWWedBSghpDv66gri119/Peufue+++9Jf6x6sbhgGkSlqM7r+5ewOHfpa1Ol/lz+oPQoTcjpmVSXjvLXmAG926OlO0vWc2hj5xuiPwlQ5G7/hsQjf/gN87z4YdZ7Nd+7d+0O2d02mruA3o6ZqjzIANM10UnR3Rmnvtkkm9/3Aj7bH8AE9vgCdgRBNmgP4JU7Re30iyoZt8NybNm+t2bc9fRGb0ZvU/WrkhaMJapxL51I2VgmPRHN2UY/uLWrztG52I2efrH9TNHa2sieyoZ/+6L7XpqvX5vFXIJxKMiyhNpiNF+l/bowZDjvSkbMDr1Gz01iiOak+n/XVeu2ZNBpac4yc/eUnyocWVo+gvkZvJMAwDEZNdxoBZWnPcwuUYNoSLseDfiAAlI5T97cXvhbhg3PVa6+u2PN9ka0R1v9GpXxuCamf0R05Gz3MoC3oCOrmA6+Rbdv0bVD3xvXhCnyaP2Y1FcaA6Gt2kbNwj3pfWyBM0oMWfmEn62IEUWY0QWsnvLhUrcXeDqPdZ8e6kgpGHjxZh55zyMvU885TpXIDN4P7wx0cDLm3Tz8QAwcsZ7vRH+jst99+u1Z7QIkzn89Hd3d31i3+P/e5z6W/1t0GHTLirLU1u6hHf38/Tz2lGo66bdR1MWXKFJqamti5cydvvLFHP5y94kYhv/a1r2kdQO2Sa4fElStXpn35t7/9rXZ7XB/IVky78/FAfT59up9owGHHqAdaPIvTxjU/XUv/CnXNuvxBhtfotSXUkOlu9eKy7CKpz/xiB2NjvWwNlbKpSePQNYfqOVUQNJgc6aIykWnRfPNvbKKxPW3sdwa/riitpmp6hdZuli71zqyzuliUujNtjviEvdfubXbSZtWD6gCkKxDk/JPR3s2y1IkwNCQiNLfB+6+1Oelz+752v3scxsSUX4/8oP70L4DGWU4kJYtZcB3dNtYr6prVTtUv7gEaD1e/t76/nzX7qfF3I4+jY30EbZvm8nKGvU//Go2ohbawMyJiw/7XqG3hTlZ9T52UPF+tOuo21Oi1Z0YTtKYjZ9ltrKucvOf14Qrq9GeiMmq6EtT2juye9ZHtmW6oHmQ1AlA2XtlU1tHP+45Qn+OHn9/zs7bytlVENkcom1TGghoVKtfdmX1kXSZStT2L6GKiK0GqP0U04KffH9AeOZvcCNvdA4csosG2bePvyAzpHu/B6K/wSEfgb49yhprExP/+zeYD19n43mfzydtTdPdlrp8rcluDJVrnhx7sHPLi7LTTTsMwDFpaWg44/DmVSu1SL/SFL3xBqy3hcJimpibi8Xi62+H+aG1t3WUm1fXXX6/VHlBzvGbMmIFt21nXeLni4JJLLiEY1H9C7IqzlpaWrETsww8/nP5aZ70ZqNPGD33oQ3v8PfvDFWe6xx64uOufbeTMFXEnn3xyelSBTnIV025L/9raWh588EHt9gDUT1QPkNLu/W+KItuirLxlVfrPXYGQ9hP0UF0QfAaVyQRPvnhgf27vtvnnI2qj/1LlcBoa9N/GA5UBqqZX4AOOrt91E7J07Z7v37gmE1l8+kfe5PaXObV+kyLdBFNJlq2Di75l75FuueXBrWz62tuAmm/252/qt8dNuxtlZ/ynqxdaO/Yu0J55w6baEbnh4d6EGCYfqTax5d0H3qT9bSHUJNQ1Kx+pv301QFmTsmdkvH+/M4bWO+Wc7vpUNnqzPn6/QWCUsmnn6v2v0fbHlbj/R91Y/lU3FoB6zeUw08ZBW0j5UV+WdYI1zhq1B0LU6S/P4YKzg/T7/ISiCb77qxhvvrv/w6LWdZmBz2P1VzAAUDZefe771vVz2Ycg4IcH5sNdj+5q286X1HPs3Ytm0xZT+Xq6I2fVFZk6weefObCgjjSr93Q7YcWQ5jTCqWNhR1D5dN+m/gOWSbQ+00ogmqTdH+Ibnw1SVqL/3hgeEYKASgs+/Qj1PPvXInjO6cn2f/+EK7+fsTPanInkjWk4uOrCvOSQF2eBQIDhw4dj2/YB64Y++MEPcv755wNw5ZVXpuuNdGEYBh/+8IcBshJnd9xxB2+99RagOj16cVoNcPTRRwPw2muvHfC9tm2nxYcXURhQ8+DGjRtHLBbLqo7JrV268sor02maOrnkkksA+POf/5zV+920WK/EmVszlk3krK+vj4suugjQP7fPJdc0VFecNTU1aR1gvotN48LEDB/lkRg9q/ddq9n+amYNdwZCRH1+JmnOuDJ8BiFn3kzX5ugBH7Cnft4m1ak2aZ2BEF++1JvPvSsi7r8mzvI/ZP6OPz61q329a3rZ/oXFAFSPCjJqmDf2hOpC2M7sqzvXLMJn2zz8bzj/q7vas/XxzAD25lCZ1vldaVuGh8AH5ZEYgQEHRG+v3/O90ZjN0xZUJ9U1C9V7I4bGTAuRxKA2HqOva/9ZHU+/mGCm05zEqPVGDJWOKSVlqAHCHe37PnRY54izcw9T6zN5pjfrA1AzxUm1XLf/9t4dr6tOsS9XZo7ydUdfy0oMwk567I4sa7xqHXHW4ZE4mzrOR1uJEh//d3cf53zZJhbf+/1o8b3bObpbHbgFGku54WKPDmWcyFnf+j6aRhp85Fj1+j2PZ+yKtcfo39iPr9THZ/6amWMa0Juhj2EYjJmp1qdnw4EPQXreUacSm1NOmrjmR+ykRogEAvT4A6T6U8Ta9t18x7ZtVt6m6t0fGdbElLHeXC9fwEdohDqUP3FEhEtO3fM9f38R+qM2dtJm2yvqs9YSLOG4wzwx6aDkkBdnkBkE7HaH2xt9fX0899xz6T+PHTvWE1sOO0x559tvv33A97qtxoGcWqbnyrx58wAlzrZv377PaNVrr73GCSecQCKRoKKiwjObDMPg05/+NJCdINqwYQOQSWHVjRu9dEXF/njkkUfSzVK8jpxlI85uu+22dA2c1+KspaUlq1Rgt7OmF81kXIbVGTznpCu9+P5FxDv3/lDrWqK6OS6qbODG8SZv3m1QEtb/UKuaoTYU47q79htl6I/avPEuVDlRjwvODnly+gmOAAGiO6LMHG/wyLfV37Nmt3n0y27IFIDUVHl78jn5SnXfHRXr50cnqUL7196BVCqzUdv2qrpmfxg+ibtGTvPEDl/Aly58f+V7MUarMk8W7aUHz6srINaVYHTMmY02zIMWaUAg5KfduedueHvfm/14wmbqfW9Rk4zTGwpy9mUe7PIBX8hHf0UJPqBzHx02+6M21/1cXbuJfvWekuHeibNhU0uJGwa+1gix9the32PbNj0r1YdwfYn6XOquM3UJjFCb9lQWqahty3qoTaphxp2BUHq4rm5STg3syHg/m1vg6b00/bVtm83fUHuUZ6tH8thDlVSWeSTOJqjIWfeKHmzb5ndfUX/Py8uh6owUv/q7Tc+76oAtML6C1IBDai8OrBtnZVfbmexLsvLWdwF4tVLdIHSLs9KwwbgRA2op95Pa2L2sm64lXXSHQ/yzbiwjPUpDBQiOVj7UvznCfV/3EV1gEF1gEH/GYFQ9RGPQ3g1b/9qM3dxPc7CUEz9azTEzJXLmIuIMmDtXVZnuLy1t7dpdc3l0NylwmTVrFpBdm/iBNrlixQtccXbvvfcycuTIdLfE3Tn66KNZtGgR4N1G38VNJdxfnVcsFuOiiy7iySefBDIiQTeVlZX4fD56enr2mxq7dOlSLrjggvSf3RpD3bjz8pYtW3bAKMwDDzyQ/lp3l0aXsrIyJk2aRDwe54knntjve//xj3/wqU99Csj4nRcMq4b5NSoEluxL8vbN7+z1fTudVvsLakazNVzuWcFy9VEqV3Jyfzd1Z9rc++Ter9trK1TjhFM7VbihfIR3G1k3cua2aHY3g90Dgg6peGqX6GJNo3f2AEz72lTGf6YJgJO3baG2EhJJVXQOkIql8LX2kwKeHjeex+/y7tDKTW0c74tw+6fVpmLR8j2vm/VWkv9do+6Lht8gWO2NOAPoqVD/3rWL971Je3NBL/O6Won5fJz2j6Mor/EmOg0QqVMb2YVP9e31XrTYyRhujPYy7DFVMlAyRn/3UZcRDX5Wlygx+vQHXqWlbc+Dxuj2GImuBN3+AB1+5c/v3ufNpvGrVwfp8/kJxZPEdu5dLAK8/U6cF/9DqaTXKofxnc/4maR5PpXL7OPU7/3YbCUYz7rRpr17t2j56l58nTHa/SE6rjqMijLvtpIVk8vBUFGoFV9bSW2lwclz1Pe6++CG/7XpeVeJ6fjITCei397kzfqMnOH4547Ifp+vWx9ppm99P+vDFTxRq2rdKz0o7xxek0lt3J84a3O6IloldcR8fk866rqERgd3sScUNAgFDQIBI51q2h+Fdb9cD8CDDeOZNE5zmPMgR8QZmYjK/gSRO3jaxavI2bx58wgEArz55psHbF/vRtduvfVWPvvZz3piD8Ds2bN3+fNtt912wBlaXV3ZzY/KF7eRxpo1a/YZyXvxxRd3iax5Jc58Pl86Cra/Oq/dheTAxhc6mT59OvX19WzdujXdpXJv7NixYxe/Li31ZlNkGAann346sOchx+5cfPHF6a/POOMMT+wBKCuBDfU16T9veWBruqvWQHYuVn68ukRd31pvgp2UO6fDw+PqYXbZbXvvRriuGa5uzkSqasd7Jz4qpqqNTuebSvlUOO7RM+D537euj1R/ihTwSH1TWjh5Se28GgC2/X07s8PqxNwdQdC7tg+frTYrz/zSz3GHeXcSWzlLOUP7ax3MVrPo95rWuOH5jvQQ3Sk3TcbweWeTuyl66MH+XaKJA1m5QF3P5kkN1Jg1ntkCmTEP65f088en9vx+S4f6/0Ut6yBhU3tsDWM/rrdp00BG1cOvRqloqrGxl29/cc86WHejvzlUDk7kparcm2s2daxBs9NZ0O1a19tvs3H7rtfupmvaCbRH2RIqY8UFh/GlS7zzobKxavc8JpZJ9/7qb3a1Z/kCtTdZWVbNKUd6u40M1YcYf5W6r6z/9QbinXEe/a7BX24x8PvV/ahlqbK1rVrdsy45Fa74iDdrdPhxyqeru/t5cem+39f+SgcAT9Y2EvUp4eFFJO+6jxpsCqt/99aHm/cpGN1r5h5OeBUNBgi5kbONe0aE3a6efW1xut7qJm4YPFM9Wjo17oaIM2Dq1KkAzJ8/n1hs76dXA+vRZs6c6dmpfnl5OVOmTCGVSqVnc+2N3t5eNmzYQCAQ4MYbb/Sk8YZLKBTi8ssvp6QkM1fliiuu2OU9u98QvGihP5DKykpGjBhBNBrdQzi77C6G3BbzXuBGnfYnznYfVO1GSXVjGAZNTephtm3bvocwbd2ayU9ramrSPgNuINk2KRkYTTzmmGM8s8cwDCaMNrh24tHp15476gU6F2dShbvf6cHoihMzfLQESwgFIRzy5oFfOk498IfHMw+zhXt58LesjfCBDhU16zxjPCf+h0dqEag/QT0tW59ppXNxZ/rUd6A4275MbYrerKjn2aOmcvhR3olFlxFnDqf2OOVPH1++nEAqlRZnbYtUFG9VaRWT9U7N2IPaY2oA6FzSxdSx4POplM/du1l2vK3WqOys0Uz+wkRPbZo5V/nn2LUt+5xLt8Oxp3KyN10aB1I7Rf0do2L9XHabzcqNu9r02Mvqz2ZAHYLM+PZ0glXeRfIaG2B1aTWP1Kv7486XO5h7ZYov/CLFrMtS/PShTIqcu+H1klH1mbbvix9Rabqzr7Bp+qjN+ubMWlVuUvelVyobmDPH2+h0qdNOP/D0Fg7vVTYt2C1BZb2l1sgeW84lp3lqDgAzb5uusgtS0PlmF9UVBhecYjB7glqj9hXKnjtfV2vpRT2eS7nT6GZYPMLfnt13mn7XUuXTq0qVMY/d7s2zY+40eKpmNAnDYPs/d9D+csde39f5jlqjjSXlnDRbpUR6hXtI5KYHD8SNnPU467O2pJKEz+fJ+JWDGRFnZNLAYN8t9d16ohtuuIHly5d70ljCZcQINZRnfw1K3nrrLWzbZtasWZ4KM5fbbruNvr4+ysrUzW/ZsmV873vfS39/YP3bGWecwR133OG5TSeeeCIAf/3rX/f6/d3FmTtQ2wtcf9hfnZd7Pa+77joWLly4R0RSJw0NqpB9f3VwrnA79dRTWb9+Pccdd5xn9rjidaCf7I3+frXzf+211zz368mNaqP252Hj068t/UKm1vPls18FIGSnuON/fKy417uHWelYtSGaWxPhBid4+MQre26u/35Xh5rfNXMYF983zZMxAxmbShl1wUhSMZtXzrcoTamU3YFpjVsXqwd+/7Ay1vzJR9CD5hu74wv4mPPLw/CFDEa1dvLd9RYty3qxbZv7f6o+f5uH11Be6q0tpc5csWhzlHDIYEwDpFKwacAZTFunTekOtUZjTI+KhAZQMU59Zo7rbuHWK/Z+ih7dqD5jY+Z4L86OOtnt2Kic5neP22xttXn1bZvDL0/x60chmEpSsbMPfFA53ds1Ov4wuOxD0D9Vifuzdm5i07J+fvVAglGLt/K1n8XSQ3E3hJUtV/+Hd/YEAwb9s1RGR/f/raZndS9rnTOzF1SvLxIJm6ao2uRuqqjk4r00WNBJ+bxyRp6t9iAf71AHnys3wlOvZnypb7WyZ9Sccs8ake1O3fHqmr1zy7sk+5Ms+dxSbn7y30zs76Z/qXqurHeu2SlHeGeTv8RPqiasBriv2nszKTtl0+N8b2O4nO4nDD58rDc2jaqHreFyHmtQpTbbH9v7vrFku7LnSzdW8PwvvN36VxytUlF3PNmyy4EnZMRZp3NItC6sDhjP8m77cVAi4gwVGTr33HOBTCe93XHbgLubXi9xxdnukZaBuMLjqKOO8tweF8Mw6Ozs5MorrwTYRZy5tk6YMIHHH388ncbmJZdddhmgBPPRRx+9hxhzhx5PmzaNa6+91tOHiBsZ2l+7+KVLVShkzpw5nHDCCZ7ZApko4f7EWXOzisDo7jq6N1xhvL/IWSQSoauri0AgkK4D9ZKPvl/5w58bMtGMriVdrPvVetoW7iS+UzXdiBsG/3ESTBztnf+UjC4BH0S2RTjSOQ1etVtG6rqtNg1O2mNwvPcba4CZ35lBoMJPojNB/5PKX9zIWSRq89B9atOdGj24x55lTWXM/l81P29mfyf1X3qRld9dzahtSpzNOrPGcxvcQdRuTZ476HrDgL3R75+AsVG1CanyWHgAVH+wig4n/3Ty4k28vnLX7/dFbEp3qms27RjvfajCSdc9vkFFhL93HzSeb3PMp22WOQkPY6O9+Gyb8onl+Eu9rTsJBQ1+f7OPPz46nJr3D6MymeB3qxbyl3ee5QtblvPFjctoflLdw98ZMYz1Dxr84vPeio9rfjmapWU1BFI2b9+dGQjnZr9290NjVF2ze35Z7ul9CNRzftYPZgAwO9bJ1eeo+9HfF6r/L19n07NK2TNu7uB97iddO4HSsSV0LeniyTHz2fLAVkojca7buhx/d5wdwRK2hsqwfqOial4SOFI97+c9sQx7L+nDka0RUpEU7f4Q02cGqfCoWQqoOraaClVLBiqSvzux9hil/TEiho+xM0r2+L5uQqNCjP34GOyknR4M7uKKs5ZlzoFDuJzOxw1PuuoezIg4c7jpppsA1f5992HL8XicBQsWAIMjztwudR/72MfSnf12xxUeRx55pOf2DCQQCHDXXXdRVlZGZ2dnerN9//33A94Mnd4XZ511FmeddRagIi0nn3wyO3eqNIx169axcuVKysvLWbJkieeRPLfj55Yte5+2un79ep566ikMw0iPJvAS10/3JxZXrlQ7t4GRY6/IJnL24osvAsr/B+M09uJTDe6+0WDUaD+/GTE1/fqKm1fyyrmZsRE3jTcZN8JbW3xBH8HhQUjBhIC6/zz8b3hgfmbQ8sKl0OCkPc6Y6/0DFiA8LMTM76mN2tqbV/D35fO5cO277FjQwjOv28zq6wAgNEhicSCjzxvF5qsz97+1P1rLiHiEPn+AG2/2LkruEna6NUa3RbBTNk3OQNeBA5effNVmnBP1qJjmvTgL1Abovf04UsDkSBcnXpngyu+n0hG0t9erFEOAumneb6zLJym/8K3p4vJRO/f6ntOHq/WpnOn9+rgYPoPZ35mGEdz1PjOvpxW647QFQnzw7DKaRhqe34smN/lZd4xKs9zxyp73x65um0ZngHnDrMFZo3BDmNJxpST7kpyaUs+Qux9JMvXCOP/7SIpG58Dhg+cMnjgL1YWYfMPkPV6fFFG1VIvL6zjzeIO507x/doy6YSq9vgAj2nuYf8+efu1GzbaEy/jyx7wX08cfBqud9Mn21zrSjTh6VvaQ6E3w7N+cOspwOZPGDI4IGv8pFclrW7jr+rg1Z81O1sWEY8s9q+k8mBFx5jBQ5HzjG99g06ZN6Qfavffey5IlSwBVb+Y1bjt9UClnuzfX6Orq4i9/+QvAoEQYdscwjHS3ytraWl544QV+9atfAd4Mwt4XPp+PRx99NB1B6+3tTXeLdFMdzzzzTE/HDLi40Sd3ptruPP744wBccMEFg+JDjY2q4Oaxxx7jG9/4xh7NZXp6evj+978PDE701Y2c7S/t89RTVb6OV8129sYnzjRY96CPPy8Zzx+OPWKP76eAC66sGhSx6Obpx257i4awSiG85BabPz2jvr+uWbW3Bqie6F1Hu90ZfcEoqo9UD/4ANhe0bsD6f2/Q9+cNjI310uUPMvOMmkGzZyB1H2zgnJkf3OW11VXVGJpnUu2NQHmA8IgQqZhN3/o+jp6h/s4/PmWnnx0dzXHqEjGMEh+lYwZHUH/yP4P0NVYStG2u37yMu/8FzzpJBW+/1EtVMk4sFEiPSvCSUF0onY72X2tWsPVhNXzZ5cuXwv/MdWrgBlGcAVRMreC4x45hyk2TGH3hrtkDy8pqueLMwdseuZ8ve3kHw5wDmD5nxnH72n5CdorOcNjTerzdGX+VulClP1/KvO4W7nn3BW5auIiF97VTYqeI1ZZQ6tHMvn0x5pLRHHnPHOY9eBRz7931YPrZ6lFMG6RHx+TZJSyoUT7z/IMde3z/7YXKp1sryjjnRO/t+fS5Bp2BEM9Wj8SO2Sz74tu8+73VPH/8i7z0oVd4+nfqubumpJIRdYMjhCqmVuAv9xPZHCG6IzOw242cNfarNZp+wuB+7g8WRJw5hMNhJkyYAMDtt9/OuHHj0htqtyvi3LlzByXq8YlPfIIbbrgBUJvov/3tb7t0JHzjjTfo7u5mwoQJHHvssZ7bszcGjhI4+eST2b59O6FQKF0HNlgYhsHvf//7dGe/s846i3g8zrPPPguQTlf1Glec/eEPf+DHP/7xHt9fvVoNfzRNc1DscWevPfPMM9xyyy3cddddPProo+n0U3eWGKjr5zVudG7BggWYpsm1117Lxo2ZdIeBnStvueUWz+3ZnVDQ4Gd/HM7F0963y+uLy+v4+n8PTovfUqdFc89bXTwydU369Z8/rDb7O9ptJkScKMMgRGFcfCEfR949h4bTdm2oU/ZHNcNnaXkt/+/Dg7dpHMhZx0F1tY8EmQ1H5NTBE/dVc9Shw7/nLeTDZTupLFO1Qg89C3c9mpmXVTKp3NMujbtzxI9VtPP47h3c/85zRE5/ir+OfYZF31WfuZ7ZDYNWKzTnVyqbom9dHxVtfSz/vcGq+w3s531851M+upapg6PKmd41t9kXNUdVM+WGyRzx69nsmJTp5nv3yKmDEoFxmT2vlBeqRuBPpPifrW8zo6+Dqh+9SfPft7HpVeVDbV70Yd8P4z/ZROm4UlJ9Sb65cTHVyTgj4/1c06z2Q/bswW+vZxgGo84ZScMHGxjxkeGM/h/VJvU7Y2bzVkUdJ84enGtWXmpwzn+pz/6YVduxkzaJngRbHtxKvDPO60+oA/WxcysGpQ737BMMzj4e7ndS9FsWtLL6B+oZ0rOih+PeWQ/A4ed7ONxsNwy/kT6YWX/XRmzbZtkNb3P8opU0xPqpTcbo9QX4j/MH59DqYEPE2QDefffdXf7szmRyU9Wuu+66QbEjEAhw++2385Of/ASAyy+/HL/fz7XXXquGPzrt0Y855hhPGwLsj1/84hd7vNbY2DhoD/zdGdhl84477khHsKZN82YI7e6cfvrpaaH8xS9+kU9/+tO8/vrrrFixglQqlR6E7XZR9Jp58+btMuT6+uuv59xzz+Xzn/88kKk3O++886ir8/4hO3Xq1HTq5+uvv87PfvYzmpqa0g143M/Y+PHjB6VecW8MrzV44EdhHj5NRRL/UTeW6E1HEAoOjk9XnZK5XpFntvF7Z9jqqyvA9z6b+x+MMjwewQ75KJs0uBu1sqYy5v1pLvNrRhHf7TN+1Cnl+AZReAykJGzQ+g8Dfnk8P2ycxc/ffyzfuNO74eW7U39S5rPTed9GPuvMuf/Pb9pc9UObo3tUStiwed6nWQ5k6qm1TPmKSgGrTqrayXBfnLN3blKvedxCfyCljaWMOl999rc+3IzfbzA2FKPlmVYiWyPsfHEnht+gdhBt2hvH3Hck/zXlRM6f8QHGzhzcDeOZx8H9o5XQmNvTxg/XvUbl0hbe/MQSXvmDqht+K1QzqDYZfoOpN03eY5foDlOvOHbwNvr74vCvTuLMWafxYvUIykrg1ME5+wTg6E8MpzUQZmxnN29euYTnjnqeJZ9Zygsff4vKtSpS9eFPeDvvdSDnv89ga7icl6v3vP+VOvNXT7lscAX1lOuVT6/5yVqenfM8G3+7ielvbuST29Reu3tiDcNrRYbsDVmVAQQCAe6+++70n3/+859z5JFH8tBDDwGZVLHB4uKLL95l4/yzn/2MCy+8kI9//ONDYs9ApkyZwubNm5kzZ076tTFjvJtPcyBuv/329Ndf+tKX0rVNg2XT8OHDeemll5g+fToAv/71rzFNk5kzZ/LDH/6QVavUtNXBEmfV1dU888wzfOUrX9nl9fvvv59rr72WW2+9FfB+5IGLYRg88MAD3Hjjjbu8fumll3L11Venx1kMpU8DfOQ4g7v/1MBH2j7EnatmcuvV3ndCdak8poJ5D6k05diOGMM+9hT/2bKWgBM1N52Nvv/IOnyBobl1p649jP+c/v7Mn4GTPuV9He7+MAyDcy6q4O8vN/LIfYOTguoy5j8zn5+2l3Zy5ekpKvxJrty2kml9HRzWqzZpI8/yuGhxL0z+wkRG/Npkc2hPIX/Uhwc3StX03yrTYs2P17LwlJdYMOM5Xvvo6zxnvoCdsKk9piZdwzdUzJjiZ+XTZdxydYD7vza4hw01lQbjjiznn7V7Pq+O36QOrsqPHryNvkvjf47mtDUf4IztpzHr9hnp1yM+P0d9zLvRNNniH5C+PKoeKj1svLE79SMDPDJWiY9tj24n1qYOQSIvttIY66fP52fiyR729N+Niz6g/n9b4+FcM/EYPn7MqfxueKZGb0H1KMZMHdzPWI1ZQ/URag0iWzK9HE7oVhk89ScNvcAvVoYmF6WIueKKKxg/fjyXXnopzc3N6cHUZWVlg9rsAlTXxmXLlrFy5Uqef/55brvtNh555JH09ydO9HZmzoFobGzkt7/9bbruzctW7Adi7ty5tLW1cfbZZ/PSSy+lXx+MBi4uhmHwpz/9ieuvv5758+enX3cFSVlZ2S5i1mtM08Q0TVpbW7nrrrvSr//sZz9Lfz0YnRpdTjnlFE455RT6+vr4+c9/nn79zjvvTH99/PHHD5o9xUjDB4Yx+YZJ6ZSUy3as4bIda1hU2UC3XwnF0SfVDJl937vK4OQ5AUaE38eUqjgVk8vxhYrjjG8wN2YuofoQH95xOs/Ne4H+Df2sNBfgjr0/ry2Ttltz5OBGzkDdj+ZeWE/g8OMJvriN9TcsU7YcW8PoE2oG1Za6Y2sZec4Itj26na6lmfrXVFQdPFTNHrxN7P6orTT40iVD83d/7yqDE9+awf3DJzG5v4tbNmZSz5PAZ78y+OIMIFil7jtjLxtD55IudqyJMv3W6dQ3Dm692YGI7n1ErWcYhkHv0SNZu3UjTdEe2oIlu8ypfKu8jgsH8RCtJGxw5Vk2//dPH2tLq6AH/lrfxKZwOQnD4PWKYfzIw9lm+2L6t6bx5ieXUDm9gr51ffRvyqzR6DOGXuAXK8a+pol7xKD+ZYXw8ssv8/GPf5wNGzYwZcoUfvrTn6YbFgwV//rXvzjvvPOIx+OUlZXR3Nzs6by1gWzZsmWvUY3e3l7Gjh1LIpFg27Zt6TloQ0lzczPXXHMNEyZM4Ac/+MGg/J27r8/3v//9dAdQl8svv5zf/e53g2LPQPr6+rjnnntYtGgR9913H+Xl5fT29lJfX88zzzzj6by1fdHb28uWLVu477770jVmV199NT/+8Y8HpYFLMeL6UDKa4snRT+/zfUfeM4dR54wcRMuEA9H24k5eOee1vX6vcmYFJ73g7egMl33dp23bZssDWzECBqMvHDWo9W8uXcu7eeuaZXTtpdX3sf86mrpjh0Z8FBO9/TY+H5SdZnNq+xY+v1XVd/1i1HQeeX0cJYOwud6XDxUrxslK4I8dDhv/MrgHRd/8bYpb77EpTSXo9Qf5+sY3OaZbZTg8dOkJ3PPTwW12Yds2/3gRXntHbbW3t8Nzb8Lp8+An1xiDUv8Ge/qQbdsYhkGyL8nzH1hE/6petnz2SK781uDVvhYp+/zHizg7yNiwYQMtLS2D1ljCZX837E2bNhEOh9MjAA5Fdl+fWCzGzTffzLZt2/j73//OyJEjmT9//i6NVARFe3s7ra2tTJkyZahNGVIG+lC8K8HbN66g5blWYjt2bL2WegAADsNJREFUPRI++aUTBqUtu5AbW//azI4nWtj26DZSscyjbvo3pzLxmgmDYsPBsrFO9iV5cqzKLhBhtieu4ChLxvHZcNicIIvuHBzhcbD4kMufF9h84vs2f7vN4LR5g7vRj8VtXlwK53zZpqcfDGy+fE6cj54VZEqTj/LSQ1N4HGw+NISIOBMKQz5s+2d/6xONRgkEAvj9g9P1Tzg42ZcPdbzewUunq3mHNXOrOf6poenQKmRP86PbePOKJdQeXcPRf5uHPywb692JNEcwgj7Cw4orPa4Y+OvzNnf+zeYrHzd4ZyN89BSorx6aqMfBQDJp71J/NthsbbV5eTmcdzKHeiQIODh9aIgQcSYUhnzY9o+sj1Ao+/OhnYvaaX22lfGfaSJUK5tZYe/IfUgoFPEhoVDEh7Jmn+JMGoIIgiAUOXXH1VJ3nKR+CYIgCMJ7neJosyUIgiAIgiAIgnCII+JMEARBEARBEAShCBBxJgiCIAiCIAiCUASIOBMEQRAEQRAEQSgCRJwJgiAIgiAIgiAUASLOBEEQBEEQBEEQigARZ4IgCIIgCIIgCEWAiDNBEARBEARBEIQiQMSZIAiCIAiCIAhCESDiTBAEQRAEQRAEoQgwbNseahsEQRAEQRAEQRAOeSRyJgiCIAiCIAiCUASIOBMEQRAEQRAEQSgCRJwJgiAIgiAIgiAUASLOBEEQBEEQBEEQigARZ4IgCIIgCIIgCEWAiDNBEARBEARBEIQiQMSZIAjCIGOapjHUNgiCcGgj9yGhEEzTrBxqG96rBIbaAKE4ME1zKjAZeMGyrO6htqfYME1zkmVZa5yvDcuyZECgkBOmac4APgHcallW11DbIxx8yH1aKBTTNKcDZwN/ArYA8iwTcsLxoduAfwG/lT2RfiRyJmCa5mXAA8AHge+apjl5iE0qGkzTNEzTvBlYZZrmN5yX5bRRyBrTNP2maX4duBeYL8JMyAe5TwuFYJqmzzTNLwG/B8YDNwAjh9Qo4aDCNM2AaZpfAe4AKoCTAUSY6UfEmQBQBXzOsqwvApuAy0zTbBxim4qFIPAaMAc41TTN0ZZlpUzTlM+OkC21qAfZLwG/aZqXmqY5c4htEg4+5D4tFEIt8DZwkmVZn0UdMjYMrUnCQUYTsBE407KsDwFlpmmOH1qT3ptIWuMhiGmapwOXAS8BvwVGAVOBRcAC4AfAK6iUh0MO0zTPAC5Brce9lmU95bz+OPAt4JNIKoiwH3bzoXuAfwA3AQng38D3TdP8pmVZrw+dlUIx4/jQxcDLwN1AI9CF3KeFLDFN80PAHMuybrcsqw34p/P6HOBUIGGa5l9RabLyTBP2YDcfWgO45R3jgVVAagjNe88ip/+HGKZpXgt8HvgDMAH4NnAn8BHTNK8BrgLaUYLtkCsYNk2zBLgcuB+V8nGbuwaWZX0HmGGa5lzLsmzTNOVwQ9iD3XxoFHALsBj4smVZ51qW9WNgPio97ZD7jAkHZoAPPYASZV8GHgLOkPu0kA2maZ6NOkx8n2malzivGaZpBoFZqH3AO8DpwIghM1QoWvbhQ34Ay7LWAyZqH4lkE+lFFvPQYwFwhRMN+i5QZVnWZuCrwE7UZuBrQB0ckrnEU4B+y7KeQAnXKtSGyN38fA0l2K4GjhgaE4UiZ6AP3QoMB06wLOutAQ+wF1HR6kPxMyYcmIE+9C1gIlCGuv+0I/dp4cBYqAOgzwPnmqZZZVmWbVlW3LKs+x3fegqV2tgylIYKRcvefCjpCHxQB5BnA1iWJRE0jYg4OwQYeKpqWdYyy7K2ud8CIs7rqyzLug+Vh/4rVG76IcOA6NhSYJRpmmdblhUHHgEuHLD5CaCKYA/jEFsjYf8cwIc+6rzN5zR2uBMl0AQhzQF86ArLstZYlvVHDtH7tHBgBvhQs2VZvcA6lJ981vm+z/n/xaiyhg2AIdFXweVAPkQmlbEf2GGaZungW/nexrBtOXB7L2Ka5rFAjXM65n7YfM6ph+Gk5Z0JTLAs6xemadaj6hmuBF59r9fCOOtzGaqd8BLLsjpN0yyzLKvPNM0PADdbluWmnf0T+JFlWc+apvkfwHrLshYPle1CcZCHD30PFZ2+AnjAsqw3hsp2oTjIw4d+ALwOfAyw3uv3aeHA7MOHgo6od98zDRVpvRYVeR0OfAr4u2VZS4bAbKGIyNGHrgO6LcuKmqZ5GNBpWdamobD7vYyIs/cgpmlehUrJexDV0OLlAd8bCVRalrXKNM3PAqNREdRhlmV9ckgMHmSclvinAA+jOljZlmV92/neaKAPuB1YCfwONc/jR5ZlrRoKe4XiIw8f+g7gFlQLQr73oR9alrV6KOwVio8D+FD6We/8+UbgGuBJy7L+e2gsFoqNPHzoc8ACy7L+a0gMPkSQtMb3Jk8CJwLPAaZpmhWQ7tK4CDjCKeo8HTgLaD5UhJnDk8AFlmX9ArVGnZDuSvQKKt3zW0ASNZtqmwgzYTdy9aFmEWbCbuRzHxJhJgxkfz60CKcu2jTNeajaoV+KMBN2I1cf+l8RZt4j3ebeA5im+d/AecBnLMva5HTRwTTNOmAy8D7UJPc3gGMsy9rhfP9+4HnLspqHxPBBYsD6fNppfvLqgOLViajZHaDShea66wPcYZrmryzLigyuxUKxIT4kFIr4kFAoOfrQMQN8aCvw/yzL6hhMe4XiQ3zo4EAiZwc5pmlWA6ehhiWfYppmaMC330B9oCY6BZudlmXtcNo0Y1nWnw8BYTZwfd5vmmbI2nWI9DjgCefruLM+wQEFsbIhOsQRHxIKRXxIKJQ8fSgEYFnWFtlUC+JDBw8izg5inMYenZZlXYSae/MBVKQMAMuyosBjQD2q29dXTdP0HSoP+gOtj0M/0GCa5teBzzo/E5fW1AKIDwmFIz4kFEoBPhQbbFuF4kR86OBCxNlBhmmaTc7//U7HRfdkdT2wHDWLomLAjxwJnAu8BtxqvcdnUWS7Ps5pURjVnfJLqJECt8tmSBAfEgpFfEgoFPEhoVDEhw5epFvjQYJpmmWozl1jUXO34qZpBizLSgx4zwjgm6j5NwawBhgJ9FmWtWXwrR488lgfP7AWlXv9ghTaC+JDQqGIDwmFIj4kFIr40MGPRM4OEizL6gNiQCVqThKWZSVM05ximuZnTNOstyxrO7AReBT4Ik4L1Pe6MIO81uc6oMyyrHvkRiSA+JBQOOJDQqGIDwmFIj508CORsyLFCTGXWpbV4RRkxoHPAG8B/4MSXzZwB/A3y7L+6DT9eAj4p2VZvxoaywcHWR+hUMSHhEIRHxIKRXxIKBTxofceIs6KENM0L0YNkX7csqzPDXj9Z6iZFFXAVOABYO1uoepdQtfvRWR9hEIRHxIKRXxIKBTxIaFQxIfem0haY5Fhqjb35cAnAcM0zTMGfPtZVHv8HuC/gaucUHW6ff57/YMm6yMUiviQUCjiQ0KhiA8JhSI+9N5FhlAXAU5HnS+hBkW/ZVnW/zmvlwIfM03zacuyksBJqFD1TuAvQB/Ae73VqayPUCjiQ0KhiA8JhSI+JBSK+NChgYizIcY0zSDwdWA1qrPiVajW9wDPAB9EnYr8Cvg5cIJlWX8cAlOHBFkfoVDEh4RCER8SCkV8SCgU8aFDB6k5GyJM0zwfGAbMB/7PsqwPOK/fDaywLOuHzkyKJuA24FXgKcuyVjjv81nv4Zllsj5CoYgPCYUiPiQUiviQUCjiQ4ceUnM2yJim2WCa5j+B/wfMBE4FdpimeYXzlm8BF5qm2WCpAYBVwLGo05H0h+u9+kGT9REKRXxIKBTxIaFQxIeEQhEfOnQRcTb42MCvLcu6CNVhZybwMHCYaZpTLMvaiOqw8yHTNAPAXOCLlmV9wLKslUNm9eAh6yMUiviQUCjiQ0KhiA8JhSI+dIgiNWeDTxvwFIBlWa2maY4EuoFVqFkUnwZqgSVOJ517hsrQIULWRygU8SGhUMSHhEIRHxIKRXzoEEVqzoYIJz+4GnjAsqwPO6/9GigFQsCngG4nVH3IIesjFIr4kFAo4kNCoYgPCYUiPnToIZGzoSUALDRNcy5wBvBb4F3LstqH1qyiQdZHKBTxIaFQxIeEQhEfEgpFfOgQQiJnQ4hpmh8GHgUWAPdZlnXvEJtUVMj6CIUiPiQUiviQUCjiQ0KhiA8dWkjkbGjZCXwF+KkMBtwrsj5CoYgPCYUiPiQUiviQUCjiQ4cQIs6Gllcty3plqI0oYmR9hEIRHxIKRXxIKBTxIaFQxIcOISStURAEQRAEQRAEoQiQOWeCIAiCIAiCIAhFgIgzQRAEQRAEQRCEIkDEmSAIgiAIgiAIQhEg4kwQBEEQBEEQBKEIkG6NgiAIwnsK0zSvB34AXGFZ1u/28Z4y4EvA+n29RxAEQRAGG4mcCYIgCIciZcA3gP8aYjsEQRAEIY200hcEQRAOepxo2U3ADuA14DLgCuBM4FSgFFgL3GxZ1l9N01wPNA34Fd8CvuP8dzFQDjwNXG1ZVssg/TMEQRCEQxwRZ4IgCMJBjWmac4DFwHLgZ6iI2GiUOBsOtAMVwCeBsUADcD5wH7ACuAVYBlwAfBP4NbANuB540rKsCwbtHyMIgiAc0kjNmSAIgnCwc4rz/59YlnW3aZpjga8CfmAWcBEQGvD+8cBTztc7LMv6E4Bpmvc4r1014L2neWSzIAiCIOyBiDNBEAThvYKx2/+DqPTG+cAPgWtQaY4lwL7SRhLAWUDS+bPUZguCIAiDhogzQRAE4WDnOef/15mm6UOlMw6kHJgCnDDgtS4gBUw2TfNjwELgn4AJXI4SdDOBCWSibIIgCILgKXIiKAiCIBzUWJa1BLgBGImKjv3b+VYc+BNwBCq18ckBPxNHtduvAf4InAR813ntJOAXwIcH/C5BEARB8BxpCCIIgiAIgiAIglAESORMEARBEARBEAShCBBxJgiCIAiCIAiCUASIOBMEQRAEQRAEQSgCRJwJgiAIgiAIgiAUASLOBEEQBEEQBEEQigARZ4IgCIIgCIIgCEWAiDNBEARBEARBEIQiQMSZIAiCIAiCIAhCEfD/AZcL15dCeQaNAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def eval_model(preds, name, train_set=train, val_set=val):\n",
    "    smapes = smape(preds, val_set)\n",
    "    print(f\"{name} sMAPE: {np.mean(smapes):.2f} +- {np.std(smapes):.2f}\")\n",
    "\n",
    "    for i in [10, 50, 100, 150, 250, 350]:\n",
    "        plt.figure(figsize=(15, 5))\n",
    "        train_set[i][-7 * DAY_DURATION :].plot()\n",
    "        val_set[i].plot(label=\"actual\")\n",
    "        preds[i].plot(label=\"forecast\")\n",
    "\n",
    "\n",
    "lr_preds = lr_model.predict(series=train, n=val_len)\n",
    "eval_model(lr_preds, \"linear regression\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "236e8ba5",
   "metadata": {},
   "source": [
    "This model is already doing quite well out of the box! Let's see now if we can do better using deep learning.\n",
    "\n",
    "## Build a Simple TCN Model\n",
    "We now build a [TCN model](https://unit8co.github.io/darts/generated_api/darts.models.forecasting.tcn_model.html) with some simple choice of hyperparameters, but without any hyperparameter optimization."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "59fc1d7f",
   "metadata": {},
   "outputs": [],
   "source": [
    "\"\"\" We write a function to build and fit a TCN Model, which we will re-use later.\n",
    "\"\"\"\n",
    "\n",
    "\n",
    "def build_fit_tcn_model(\n",
    "    in_len,\n",
    "    out_len,\n",
    "    kernel_size,\n",
    "    num_filters,\n",
    "    weight_norm,\n",
    "    dilation_base,\n",
    "    dropout,\n",
    "    lr,\n",
    "    include_dayofweek,\n",
    "    likelihood=None,\n",
    "    callbacks=None,\n",
    "):\n",
    "    # reproducibility\n",
    "    torch.manual_seed(42)\n",
    "\n",
    "    # some fixed parameters that will be the same for all models\n",
    "    BATCH_SIZE = 1024\n",
    "    MAX_N_EPOCHS = 30\n",
    "    NR_EPOCHS_VAL_PERIOD = 1\n",
    "    MAX_SAMPLES_PER_TS = 1000\n",
    "\n",
    "    # throughout training we'll monitor the validation loss for early stopping\n",
    "    early_stopper = EarlyStopping(\"val_loss\", min_delta=0.001, patience=3, verbose=True)\n",
    "    if callbacks is None:\n",
    "        callbacks = [early_stopper]\n",
    "    else:\n",
    "        callbacks = [early_stopper] + callbacks\n",
    "\n",
    "    # detect if a GPU is available\n",
    "    if torch.cuda.is_available():\n",
    "        pl_trainer_kwargs = {\n",
    "            \"accelerator\": \"gpu\",\n",
    "            \"gpus\": -1,\n",
    "            \"auto_select_gpus\": True,\n",
    "            \"callbacks\": callbacks,\n",
    "        }\n",
    "        num_workers = 4\n",
    "    else:\n",
    "        pl_trainer_kwargs = {\"callbacks\": callbacks}\n",
    "        num_workers = 0\n",
    "\n",
    "    # optionally also add the day of the week (cyclically encoded) as a past covariate\n",
    "    encoders = {\"cyclic\": {\"past\": [\"dayofweek\"]}} if include_dayofweek else None\n",
    "\n",
    "    # build the TCN model\n",
    "    model = TCNModel(\n",
    "        input_chunk_length=in_len,\n",
    "        output_chunk_length=out_len,\n",
    "        batch_size=BATCH_SIZE,\n",
    "        n_epochs=MAX_N_EPOCHS,\n",
    "        nr_epochs_val_period=NR_EPOCHS_VAL_PERIOD,\n",
    "        kernel_size=kernel_size,\n",
    "        num_filters=num_filters,\n",
    "        weight_norm=weight_norm,\n",
    "        dilation_base=dilation_base,\n",
    "        dropout=dropout,\n",
    "        optimizer_kwargs={\"lr\": lr},\n",
    "        add_encoders=encoders,\n",
    "        likelihood=likelihood,\n",
    "        pl_trainer_kwargs=pl_trainer_kwargs,\n",
    "        model_name=\"tcn_model\",\n",
    "        force_reset=True,\n",
    "        save_checkpoints=True,\n",
    "    )\n",
    "\n",
    "    # when validating during training, we can use a slightly longer validation\n",
    "    # set which also contains the first input_chunk_length time steps\n",
    "    model_val_set = scaler.transform([\n",
    "        s[-((2 * val_len) + in_len) : -val_len] for s in all_series_fp32\n",
    "    ])\n",
    "\n",
    "    # train the model\n",
    "    model.fit(\n",
    "        series=train,\n",
    "        val_series=model_val_set,\n",
    "        max_samples_per_ts=MAX_SAMPLES_PER_TS,\n",
    "        dataloader_kwargs={\"num_workers\": num_workers},\n",
    "    )\n",
    "\n",
    "    # reload best model over course of training\n",
    "    model = TCNModel.load_from_checkpoint(\"tcn_model\")\n",
    "\n",
    "    return model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c9515451",
   "metadata": {},
   "outputs": [],
   "source": [
    "model = build_fit_tcn_model(\n",
    "    in_len=7 * DAY_DURATION,\n",
    "    out_len=6 * DAY_DURATION,\n",
    "    kernel_size=5,\n",
    "    num_filters=5,\n",
    "    weight_norm=False,\n",
    "    dilation_base=2,\n",
    "    dropout=0.2,\n",
    "    lr=1e-3,\n",
    "    include_dayofweek=True,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "65a71c90",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "GPU available: True, used: True\n",
      "TPU available: False, using: 0 TPU cores\n",
      "IPU available: False, using: 0 IPUs\n",
      "LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4776436e36af4e67b5b4356ecea7409b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Predicting: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "First TCN model sMAPE: 16.94 +- 20.03\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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9OOqoo3DSSSfh888/x88//4z77rsPH3/8MYYMGdKZzUMFKnLG4B32BOWMJGTpSs4qKys72wQGhqTAyJkz7AGPXgYGBoaU48EHH8ScOXPw008/4e6778b48ePx6aef4scff8Q555yDpUuXAgA2bVgJjJoN+LJw9dVn45prrsGBBx6ILVu24Oijj8aqVatw7733oqCgAL//Lvmh19bWApDyNnTr1g3RaBSHH344li1bhtLSUkyfPh2rV68Gx3Goq6tDYWEh/vznP2PatGk45ZRTzExOOzBy1snY05SzaDTaiZYoWL9+vWqgdhY5e/rpp/Huu+/i+++/R25ubqfYwNA1wLiZMzByxsDgPtJtkWhPH+dfF3/nyXn/VH001XG//PILPv74YwDAYYcdhurqajQ0NAAAphxyPNatyAIAzJw5U+V62NDQgKamJsycORPvvfdefHtRUREA4IMPPsCLL76ISCSCiooKrFy5EiNGjEBmZiYuvPBCTJs2DdOmTXPlt3YGuj4zSHPsCcpZOro1XnHFFfHVGwBoaWnpFDv+8Y9/YP78+XjppZc65foMXQdpMrR2G3T9Jy8DQ+qRduSssw1gMEVWVk78b0EQMH/+fCxduhRLly5FeXm56YL1xo0b8eijj+KHH37AsmXLcNxxx6GtrQ1+vx8LFy7EKaecgi+//BLHHLP7Rl0x5ayTsSeQs3R0a2xtbVV97ux6c2S5AQaGRJBuk6J0xx7w6GVgSDnYYyi9QKtweYWDDjoI77zzDm6//XbMmjUL3bt3R36+vuTLUUcdhaeffho33CCluFi6dCnGjRuHI488Es888wyefPJJAJJbY0NDA3JyclBQUICqqip88803OOSQQ9DU1ISWlhb86U9/wpQpUzB48GAAQF5eHhobd68aoEw5SzF27dqFl19+Of55TyBn6aicadHZ5IyBIVmwSZEz7AGPXgYGBgLpVspnT8Bdd92FxYsXY8yYMbj55pvxxhtvxPeRz+CnnnoKZWVlGDNmDEaMGIHnn38egFR2qra2FqNGjcLYsWPx008/YezYsRg/fjyGDRuGM888E1OmTAEANDY2Ytq0aRgzZgwOPPBAPP64lED+9NNPxyOPPILx48dj/fr1qfvxSYApZynGcccdh4ULF8Y/72kxZ+lCzrSkuLPJGXtpMCSLNBlauw0YOWNgcB/p9iojzRFFNu5ThU2bNsX//vTTT3X777rrLvyyTMSzi6Q71L17d7z//vu643Jzc1WETsbrr79ueF1yfi1jypQpu10q/a7PDNII3377ra7j7AnKmZFb40svvYSLLrqIkRIGBpfAhpJzvPqViAseFCAI+sa76TkBD77NGpWBwQnS7TlE2kP+XbZaxEm3CthUkWYG70FIVRHq3RFMOUshjj32WN22PVU5u+SSSwAAZ599Ng455JCU26QlxYIgQBCEPeJ+MHRNsCmGM3AALnxIarXTDgOO3lfZV10v4uH/AoCIm89mMwgGBlqkMzkTRED2kZl0ibRjV72I2f9hY7wzsAdoEwmDzUQ7GXuCcmbl1thZWRK1qKysRG5uLq688srONoWBISGk26QoHWGm1DdpHkOR9Kj4wcDAkCTIKYeR6/f26tTZwqDGHjD9TRiMnLkEQRAwe/ZsNDc3O/renqDUWGVr7Cy3Ri0pfvvtt9Ha2opnnnmmU+xJB/dOURQxd+7ceJFHht0LadCF0h5kmUVVLErKLWFg6JpIt7FE2mPgvcxS7XciGDkzR9dnBinCc889h6lTpzouerenK2edhT2h3Z3iu+++w5QpUzBmzJjONoUhATByZg9SEVMRNdZ2DAyuIN3GklnMmQw2FUgPpMMCdTqBkTOX8MEHHwAAZs2a5eh7XV0527JlC2688cb4ZxrlrL29Hbfeeisee+wx3H333a4RutraWtx0001Ys2aN5XGbN2925Xq7G2bOnAkA2LZtWydbwkCLrVXK+En3V9u3C0Q89I5oOOaXrhNxy4sCWtu9/RVR0sXJZtKWTvholohnPklzIxn2OMz5TcRdr6oT6pCv63SYcKtizgymEl18CpbWsCPOezJYQhCXkGgq9q6u4EybNg2///57/DMN0XriiSfwr3/9K/553LhxOOGEE5K25ZprrsEbb7yBZ555BpMnTzY97phjjsGqVauSvp4TpMNLrKv3xa6I424iyFnndyFLHHuDZOAh4zlMHqHeN/5CaZ+PF3HvRd71w6hJ/Em6t92pd0gG/uVgoE93Nk4Z0gMHXyX1y6H9gTOOkLaRYywaBfydPMvUJgTRgo2mzoOWODOirIA1hUtIVAHr6soZScwAOuVs3bp1qs8VFRWu2mIXF7h69WpXruclHnvsMRx00EFobW117Zy7Iznbtm0bQqGQYX2UPQG/b1D+ThOPYUOIggg+Ntbrm8yPW7HRWztMlTOL76TDwomMxvTIn8TAoMLWHcrfZmOss2CnkO+Gr70uAzvi7ATTZ4uYeFHXKY3QtZlBCsGUMzp0ZswZ2da7e7tff/31+OWXX/Duu++6ds7dcaHg5ptvxuLFi3H66ad3timWCEdE7Kzz9qWRzq+kOQfNxbN/zAVEEcGA+XEdEW/tIOPMrJSzdHW3SSdbGBhkkGPJTJ3uLNgqZ7v3VKDLINm+ctJtIpasBf75dNd4SO5+s7E0RaLkbHecECeDaFSdo9poVdqrlep0JmSJ/uaOjg7XbEjn9jGDm8qhl5h0iYiefxaxYbt3L450nbgLYQFNq5vQr6MFflFEhgU5C3tNzkwmkdq2EzTuNumCdL3HDHs2yG6pWgBJg/5qF3O2G772ugzsMmkmgvawO+fpbOxZzMADiKKIt956C5s2bUro+15OiNvb2/Hqq69i+/btnl3DKWiUs1SQs0jEehaYLlkl7eCmnbsjOdtd8Nsf0v/fL/LuGunaZSONyljjYU3OPFfOKGPOVPu8NckR0mGyy8BgBbKPRtPgmaQqmWEwfnj22us0eOGh0FVuJyNnSeK9997DOeeck3ACCS+VswceeAAXXngh9t9/f8+u4RSCIKjIlxER0xIOL0jDzz//bLn/7bffdv2aXsBNIsvImffwsonTdd4eaVAYFwfroO8Oj1c9Iyar+tq2Y8oZAwM9yH5p5jrcWRBsYuDYa6/z4GbMmYyucj8ZOUsSixcvTur7Xk6I5bT+W7Zs8ewaTiEIgop8ad0cjeBGGy1btgyLFtHLFr/++mvS10wF3CRne5qLrdvoCIs4+14B7/9gfk88JWdpOnEPE+SMF0XLCZvnbo0JxJylQq0SRRFXPiHg5NsENLeaX5ApZwzpCNFELUuH/mrn1sjQefDi3jByxgDAenJM43Lm5YQ4EZc3r935BEFQuRQauRd64dY4depUR8enmqgk+puZcmaNVLqnvj0DeOd74PS7GTkjQSpnPETLCVsq3RotY85SnNSgqgZ4ZjrwyWzgf7+bH5eu95gh9RDSgfnEYObKmA5kyNatkc2COw1exJx1FTdV1i2ThNnk74UXXkAwGMT8+fMtv+/lhNjpxP2RRx5BdnY2VqxY4ZFFUnuRalmqyFldXZ2j4xNN8JJqMHJmjsbGRvTo0QN/+9vfUnK9OosU8TK8bOF0nbirYs5slDOv3Rppi1ALKVbOSHdLq4D2dJjsMnQ+ylaLCB4u4j8fp8eg322UM1bnLK3AlDNzMHKWJMzc8i677DJEo1FcddVVlt9PJ3J24403or29HXfeeadHFiWmnHUGaSCVsx07dqCsrCzlNtAg1QlBWltbMXv2bCp31M7GjBkzUFNTk7L4Qe1wK1utT5+/p8ecHVm3HbWXzEdHjXGWUS+UMzEqYsMzm9Dwe4N5QhDNd1JdoJq8RsRiaKUrAWdILa75j4hoFLjq3+nXIchXQzq8Jli2xvSFFwlBuooS2kV+RufBbnJs5x6Xbm6NgLdFVxNRzjqbnO21116YNGkSli5d6tn10sGtkaYvnn322Zg6dSoeffRR167rFTpTCfztDxGTLhFR8pcUkrP0m6cBAMINihR0YdU6RFc1YMNTxtWmvYg5K/9gO1bfsQa/HDLPNM239lGpcrdJgVpF2mLVBumgRDB0PtKNT6SzcmangjNylh5wLSGIO6fpdDByliSMCNDcuXPjf9tNeL2cQCZKzryM0+msmDOnIN0aGxsbAQA//fRTZ5ljCq/dGh9//HF8+eWX8c+ffPIJAOCll15y7brJwGr8pD5uUPl7wUrpf+3KcTqRs5oGETc/L2DdVu/G29fzRMz6n36MCx3Gzxgv3Bqb17fE/6aNh7HL8OY2REpyJh/38Lsivl3Q+c9JBgZAeQ+t3izipueVfkkzlZi9VMTdr4mexdC99Z1y3s2V+v2MnHUeyOfeTc+LaGhOvg90FeXM39kG7O4wIjJnnXVW/G878uXlBDId1BgtOivmzCmM7ovTuLVUwEu3xuXLl+O6664DoL8nzc3Nrl03GVj1lVQrZ1YxTDK8tMhpV7jySRH/nQm89KWI6i/dtUwUREQaIzjuJh/OrwzjFO0BmnvDiwKOr9mK9f5iAPmu2kKCdBm0WuEXRCk+7sjacrRsKEa3cTme2QRYuzWSfVwQgfkrlAmwOJvNLPdEpBuhkHvo+AtFtBEeyzR8a+o/pIOGD+Dw18NctksUsW6b8vnSR0WselvdeGnWlHsUyO7x+jdATqaI/1yT3B1Jt7GRKLoIx+w8GMXekAWpUz1BXLduHSZOnIivvvpK9VJ/+eWXsd9++6G2ttb2HF6So+effx6TJk2Kf96dyBnZdv/73/8wYcIE12LR0oFIa39zTU2N6bHpQs7M8N577+HEE0/sbDN08PJx4LTga9OCGpyxYz1q690fb2VnLMH3g39ESXsLsgX9GOc0w+uo2u24pHItHvptnuu2kCDbKGIRGyMIwBF12/GPilVYdvgvntoEaNwadeRMbdcO+0f4HolddSImXyrg9W86//2xp0FeGGrThJLK42rGQhETLhSwcpP5vSnf5b5d2nG9frv+mK6itOyO0E5fVmxK/pyMnDEASD7mzG0XwosuughLlizBtGnTVOe++OKLsWDBAjz++OO25/CSHL311lvYtk1ZytodYs5kkMrZ1KlT8euvv2LatGkptEqPVCcEkdHURJGaMAUws/mMM85IsSV0boVedmWnXkGXzV+Ms3duwOTGna7bsnOmNNPar3EHcqIGfnqahijt8JDsE5ciJ2uk+6CW2IoiMLit0TubNLBSzsgh3taRvrGFnY0H3haxcBVw/gPuNJAoiqisTs/G3l0moPK4Ovp6Eb+uAy58KLXtqV3oOPMI/TG7S1t6hfYOETUNndPPrUqYJIqucjsZOUsSdpNjuwmv20SInDQbnbujwzhLmpc2WSFdyZlRKv36+vr437Ji2tDQkDKbjJDqVPoZGRmuX7erQJV5qhOun2hmtKJIu7uGEGjh/YbKmfYN2s55V7qC7NamypnmMZ7qRAZWCUFIUw77p9gpfUsURUTb0zuPf6v9q80RzrlfSujDYvvsYfY6OE9DlA0zkYoiMgRv0jpqY1gLDLyTu8pkPlHsc5aI4mn6zMKpgLbfJDqt+ORn5YtdhWwzcpYkjMhZdnZ2/G9ZgXn//fepv58MyEmz0QSaJsYtlRN+GnKWjD2rVq0ybXsrGJGzOXPm4Ouvv07YFi+QanKWm5vr2vW6MsjbQrpZpYNbYzQq4g3CJtHD6Umrz48sg4mXth06UlRXkCQ+5ETRSK1KJRWhVc46C2Vn/orv+nyPjlqJAW2tEvH6NyIikfQhLm6vF709Q/r/2enp8xtlpMMEdNEq8hliDG1B9ZxM/TG3bv0Nn6z6Ef6aVveMi+Hjn9WfjchhOrRlZ2JLlfT/krXq7e//IFq6oboBXQmTBC/32PvKF7uKmypLCJIkjGLOsrOz0dIiZQjjOA6zZs3C6aefbvh9txUIVfC4wVu9M8iZ1floyFkyBHbEiBEJfc8s5uy4445DVVVVfJtbql46xpwZ/bbs7GxUV1e7ds2uBPJOkLeFdLPyNCEIZVd49WvgkkdEfBX7PKa5Bh3VvREsDrpihxhVDPnH9pWG5EyLiD815Iyso6Zya9QSItFb0qoF+YjTKWcurS4ng50zJNfXXT9Vo89JJRh1noiGZqChmcM/dNleOgdMzE8t9r2UXAim+052hn7bATG36rwlVQAGuWCZhPXlos6NkpEzc5DN8ONiEaff7X3SIbeebRkB5e+ucjupOGYoFHooFArNCYVCb4VCoQCx/S+hUGhW7N+WUCh0tXempieMiMOuXUpkK8/zWL58uaPvJ2MLWYvLaOKuVYTq6+tx6qmn4ttvv/XEJjeUMy9T+5tBJiqPPPKIbl8qXRn/+OMPnHTSSfjtt98M9992222WiTucgIZoBgIBw+3RaBQXXnghXn/9dVds2Z3w0hciLn1EoFI4PFXOKD2D5q9Qj6+pDVX4Zepck6OdI1yv+BKZEjNe3RDRgPIqct1llrgU6eZkpqJJNgCiR/dq+/QKLLlgKaJtykXJX6wlZ1rSnQoS0hEWcfa9Aj74UcTClXp/3YZYiODVT4lYX961WVE6/rpku6YoirjkEQEvf+nOrxMEoKrG/lw5WerPy9Z717rbDRKMGHkX8F1lNu8i5q3Qb7v5eQEPvi3iwgcFnHmPgI5w8vdOF3Pm8JQ/LhZx6h0CmtuUbe/O7BphF7bkLBQKjQVQWlZWdhCA1YCSFbmsrGx6WVnZIWVlZYcAWA/gU4/sTFvQxJxZHeNmJ5o1a5btubXqyJ133omPPvoIxx57rCc2uUHOjNRJryG304033qjb5/crgnMybWXnggoAF154IaZPn4799tvP9Ng77rgjYRtI0JAzI3dPAPj666/x6quv4vzzz3fFFlp0ZqFpGZc8IuLFL4B5K+z7QjokBDE6rq3CvbizSIN9JWltO/A+ZYPQ5t1iTIeKkCkNoYs5E7yblC+9aBkqP6vC1reUxEjWqfStP3uB178B3vkeOO0uEZMvs35OnXF3ekyEusB8jBpGzxEhLKD6lxqq2MCflwIvfQFc/LB7jXb1UxTkTOPWOPUq726az2B2y5Qzc5DtsEuTwbe6XsRD7wL/96KIV78G/jtT7wbpBpyuwx9+jYiPZgELV6m3L13nmkmdBhrl7AAAMe9rfAtgivaAUCjUG0BGWVnZZhdt2y1Ak63RilysWrUK7733niu2yK6UVrZpydmaNWt0x3z33Xeu2APQk7NIJII33ngDW7du1U0AFixYgK+++sro654hFQWn7VxQAcRdCNva2uL9SHvsG2+84bptRvZs2LAB69YZP/XcUu+sIIoi3nnnHZUN6bRCNnOx8rehWaKY0pizjuoO/HrRb9jy+lbVdq+F6MbVFJk8NQ1RFFWyOYTr7cldolhAqEBkJjf/jhaV3alwawzXKTKe2q1RsnHechEzFop65cwjeyp2iXjtaxHtHSKqzZwDDC6+vYt7ObvxiJk+W8Rvf3j7rPrlurVYcMIirLplte2xdS4n2xVFYHOV/XHZGnLmth0kjCI4DBOSMABQP5J31qn3GbWbG23p1cJTh3evkJSBhpwVAZAf1fUAuhkccxKAj90yaneCnarD87wlgfv8889xxhlnYObMmUnboiVCNMqZ2aR6x44dSdtDA5mcPffcczjvvPMwatQond1vvvkmpk2bpkrB7zW++OIL01pebil5ZL8w6yPdu3eP//3ZZ58ZXr+pqQnl5eVJ20O2ezQa1fWnIUOGmH6XJgtosvjss89w9tlnY5999vH8WomgnWgC7dA7v3IdXln3C7gWTfowF0F2IVEUsevnalRMr8Ty61aqVtO9prOLz/rV/iCia5V/tB0nb/oj/jlc63JfIvrxo8Q6GCnaj37gF8yZ8j9EW+QFEHU7rfw/zdKsCxCJYUxeS570HHCFiKOvF1GXooz+B1wh4oIHRTzwtqhzrbRCME0i173q18lOGJdvEHHSbSLGXeCmR4p+W9M70tq4djHGCG6TFBF6d1wjGMWceQUj5czQrbGLJJBIFmSfqtU8c4zGgNO6mkZwKyGIFkb3fncDzWO1DkB+7O8CAEaz+VMAGPozhUKhSwBcAgBXXnkljjzySOdWpjHsivG2t7dTqQpz587F8OHDk7JFm6jBaMKsncjv3Glc42jDhg0Ih5WJZDgcTogA2ClndXV1eOKJJ3DttdcCkOK5ZBKixfLly1PqxrZ+/XrD7dp2KC8vT6h9yPtTX19v+P3MTGWp8eSTT8bTTz+NY445RnccGWuYKMgi21u2bFER9K1b9S98s340bdo0PPjggygqKkraJhKzZ8/WXbutrU23zQhukFcjCAIAsTd4iBCIysp19XWQHpcSTqneBACo/n4DyifkGZ4rsTFWEv+rta0D5eXViNRGsPZ0dd8t37gNvjzJJbWpqRCAJvgD3rWRERqbGuPXW/0vtX/M9rUVyM13L66zsdH4XLX1TQDU2Ue3rt6KQK8AduwMgGSQm17cgoIr8+EmGuoa4m1QWekH0EOyq64J5eWNgNgb4DisXr8jvg8Adu2qgbRmqr9niT6nAWBTpdSXZixsx77DOgDo+2ltTS1QLoLsdxwiKC93v1aeUzQ1FQCQMiW705el39jW1oby8lqbY82xeEUG5DVtt8ZYe3s3ABmG5xRyfLbX2bEzE8n3IaUPNDQ2oaU1A4A+Jlk6l3Rsc3Osbxuco62t1dVn0K5dypiSUVvfhlNuFXDYuHbIv7+jvR3l5d57fmixocKH21/Px+Hj23HBMS2mxz30fh5yMgRceaJXtSCle1C9axe2bevAnW/m4+v5Ss2B8vJy7KjjAfRSfauqahfKy40X0mj70K5dytgAgI6OMModVSMvMdxaU70D5eXpL5+Vlpaa7qMhZ3MBXAvgTQBHA/gfuTMUCvWChUtjWVnZiwBejH1MHx8klyDXfTJDVlYW8vKMJ2MkCgsLLW8UDUiVBTCOD9Jex0zx6NOnj+q48vLyhOyzI1OZmZlxYmaHXr16Jd1GTtCjRw/D7cXFxarPpaWlCbUPSSyys7NV349Go/D5fBg2bJjKzfSqq65CY6N+KT0/Pz/ptiH7ae/evVWErHfv3rrjyeuR5SO++uor9O/fH88++2xS9miRn69MjuVrk+TV6vd71W+aW0XcvvVXjG6uxd+GHox2XhpzBQWFMHrcZeflmtqS2BiTli/P2rEeJSJQWro3/vjveoQr1Apd7x5KNsbMLAGjmvWTEbfa6DeYJ0CSkV+g9Nf1GRvRDuU5tP6CjZj0wQT0ONx4/DlFc34rqqAnD5lZ+rIQvXr0QlZpFjbsEiFw6gm52+2Tm630hR3NIuT+kpGVi/ZPa/D22tm4ZtC+6FbcE2Rfys3vFv+stSnR53Q0Slw/IwPZJhJHUWERSkv7gCw0kJ3pT+lz2QzZ2YpN7tgjnS8zMzOp83XforStW+2Uman/rXK/4vIzbK+Tl29uE30fUmzIyc41ndxJ55KOzcvLRWkpucihnKP/V1tRePdA5AzKhhuoalJ+o4zvyqT3xcdzlGtkZqrbSxRFCALg83m7EPzkZwJ+Xgb8vCwTt19ovJDZ3Cri6U+l3/DA3ws9skS6Bz16dIcQAF79Vt1mpaWl8GXq27JbcXeUlhq3EW0f6rZJfV6/P+BwjBjLdyW9e5ratrvAVvwrKytbCqAqFArNATASwMehUOgF4pA91qURoIs5o8k26EXsDI1bo1lqfbdc9xJJCJIuaG83TpLgls1mbo3ffPMNcnNz8cEHHyAY1Kc3N7o3brgVkjZEo1HVdex+s/b627dvT9oeN+FVxs+WdmC/xp3IESIY3lIX3246nD144ftEAWfu3IBDV27Aj2N/RvUveuIlEJm1/C1hPLRpse6YlIJsBoN0aYv+usSb68ZuTM+OVqBRIrAccbNW3y2peFLMmRodNS67WxI+PKQ7T96mWqy+Yw2KIh04ZdcmlbtYn/Zm+D7dhICLRXs//EmE/1D7lOOA8TslG1HULqxNq/hPN5Hsz0p5NsA844y6JJy4rdKitLoOZ+xYD17TYLOXKp+1TcFpjl19uz4GPlHQut1ppyiXnL0Lb/WfgyqD56ibqKcQwsjfEE5BTUGz16Rnbo1JZms0Q1dI8kLlmVlWVnZDWVnZQWVlZWeVlZV1lJWVXUrse66srOxx70xMbySbrVGGGy82LRGiSQiyO5GzVL/8W1uNi2J6EXO2efNm/PqrFKtz7rnnoq2tDaeddpqhS6zR9c2IZKL2RCIRbNq0yfKaALBw4UJUVlaqXGC15/IStG6uXmX8bHZYN1X04K0RJNq6bVsbqufo+4wYEdDaLuKnJSKO/WCh6zY4BdkMnNclzoisjJOadiEv0oHX1v2CY56YhSn1VejbrsySKqZXAgAqqwGf5nGz8BR3CS1ZD05+tA1tqcOUN8sU0zlONZF+6Y+5KHh/LY6tdc/966936p+rpjFJBo/gU39YjHnHLkT5e+4syDS2iJj1qwjBrZlakkjWCi9imrQ1qdo7iL6U48fy61ei8it9ho71/96AXw6Zi2iTu+xMBHDtwkU4e+cGHFZXAQDwCwL2am3Ap7PN3wV+Ub1PCLv33rAiD93DbZhaVwEulqRpzm8i6hqlNjz0+9/Rs60Vi0/1dgGrnWKthxyHX8+DK+nrzcBxQLtJSLRRW7rxStWRM5duf5o8OpJCFwib61wkm63RTSSSEMSMnLmlDrlJzlKtsmmzX7ptB9l3PvjgA0yYMAHbt29XxWq98soruu+lgpxFo1FcdNFFltdctmwZJk+ejJKSEp1y1hm16azgpXImgxxtZusIggfL6EHR/rcJYRFn3yvisH+KKKg3j29IGVTkzNtlToFYcb59y1KUdCiM+pZty/D8+nmq46OtUZx+twifxmWm4Td36xvK5Kx5fTMaX/4DWdEIRhDqKwBEON5Q5Ti8bjtK2r27jzTkjBcF3LH5V4xorQcAVH5Bka6PAsdcL+LQq6XyFE6QrsKdF8oZ+Vo9/BoR/3xK6avc7zXY8tpWLDlnqe57a+5Zh4bfG5H5s7vxpWTbT2iSYoauqliJf29YgMhXSiIv7aRZ++zaOdNJvJE1rJKevLDuf7ixfDkOq6/AzDLg4KuUkhFRuXE7vH2HGREh7ZyN/A0n3irixuc6h5wZkR03CJD2FG6N4TSbfiQERs4cQBRF3HvvvZgxY0Z8WzopZzTn/O6773D//ffH95nVrUpH5SwVGQFJHHXUUYbbb7nlFlfOb9QvNm3apIsdpPmeGZFM1B7t/TfqDwsXKgqMm+Rs6dKluOmmm1TJdh566CF88YXD2RoBNxdIfl8v4sbnBDQ0iyrljCb1ushzCNeFXV0hDlK4uLU0C/hktvUxKVWmiecC57Hfl0iQMxEcBJtn0nd9Z2JwayP8HreHbNf/jpiP1tc24IKqtbprRjgunhaaJyaye7U14uU/VOHfroLG7W1iUzUmNymTadGl5eq5sZDFj392dr50zdbomYuVKOJPNVsxoK0Rb3+i3DCOwv1NbHV3wZhso6kNVYAo4oiYgjZx1RacsWM9LqtYrZs0BwwWlprWuZP4wko5y4xd99ryFXF39LWxEOtavxJvueCkMrRVtGm/7gq0RKhlSyt+Gv0zNr28Jb5NSzCf/dQTUxSbTKZYRq9PLzQHmkdIW7uI/3tBwKJV5ge74XLZ2UiTJLi7B3744Yd4wV95ImNHGDpTOTOaIM+YMQMzZszAIYccgilTpnhOzgoLCy0zWqYzOTPLsvnDDz+4cn6j++Pz+dC/f3/MnTvX9HtG98Yua6hTe7Rkz67ttS6gyUz0x48fD0AaOw888ACWLFmCm2++OeHzAe6SszHnS78tHBHxl4NICUj5U/XzyQ+NYXw/5EfkDsvFwf/TlYxMCDTK2UvT7X+/GBbBBZObSdLedy6FypkYIdx1OQ400/gTajajg/N27VJOpS8X7R7S1ogavzoRR4Tj0RGbxOVEU+M5wMEq5kz526fzSXLXDqdDdk9TzqY2VOLvFVJNs0v3OsCZTXXuFZ0HrBWxYDiCs3duAAD81DwEcpZJAAgYvAM7drYDe+fotjsFbf95dOMiHDdSySLOE8+H6p+rseq2NRj/ytik7dGiQ0PO1j30B9oq2rHyplUYeFF/APpFEi/rtHFwppx5EnNGcc4nPwQefAd48B3zAc+Usz0MVVV6t426ujrL70yfPp1qMp8q5UyGbLdXbo0rVqzAyJEjbdOpdjY5O/74410/Jy2MyBnHcaqshEZIBTnT3remJutqodoMkm64EX7xxRcYOXIkJk6cmPS5vFggWbtV/dIifzE58nzEp53z6wAATTSFmimRQdHW67fYP1+ibcnfMzKOygrvvdOCh2IvVzNy5tYzkVTOIhxP1V6cCO+VM82MhxdFBDTXjHIc2mKPvSwDhdQrtdN8EqhcL6p1o3c50IP2dG3tIva/XMDr37h6+ThEETj9LgFn35vY+PCqjtY+LYqbbV7Uun5iZbWI0ecq9nebbV8LLRlkEH01h4hHPvThWaj4vDL+2WhhSXAhriraGkX7/ctwQIMzV1tBEHWLDm3b3VPO5vwmYtjZAmYvFXVEyMiDID4ORRFXla/E0dXu1nolnx/XPqO3SYYREXPFrVFzDhHA2fcKOPUOAUdcI4A7WMBJtwoqOzdUULzLGDnbs9HR0YEVK1bYHjd//vwUWONsghwIBLBx40bPEoKcf/75WLlype1xnU3ORowY4fo5aWGWsMXudxrdG7fdGrV1zYzS95NoaFDH47hBzlasWEHVh0iIooiNGzfqtnsRcxbwA1Fi4m+2QE4m7FjvQSmxoGg/VjvaJDtPi61gG0FoT57AipQZxSZs3o63H6+G0CGYvoV2fLMT1b/UoGZebVI2kTFnYZ43dKXSgofoPTmLiti4Xd1/tAkSeFGZMGUL+mdltNmbpXSamDMBWnLmrg20E6xnpgPz7V/DCaM9DLz/I/DODBGr7lyDbe86G8ReuDVyHJArKDNpO9fmu18Xse88dT1BbaZEJ9AuCmhPRZIu7Tj69fzfsP1jyeWxe1hPfCIuJCvZ9m45xJ8rcevWZSgKSyphVjQCn00nXbdNrwhH293r2AdfJWLNFuDKJ8X4ogsgkUKjxEjyOJzYVI1j6spxVcUq12wB1Ori4jVSIiQjGL0+vUoI8s73wEezgB9i+VimzwFqiOkFzXBiytkejkmTJumy1CUKN1ZATz31VNVnqwnpbbfdhsGDB5uSy2TJGa2S46T9vCBnfn/nefaakTO75B5G98Yss2Si9miVMy35AtR9tr6+XrXPrXHhFDfffDMGDx6s2+6Fcub3AVEiSxr5UieHM0kGDo3FYbgJGrfGcGyCcc4O48LqACC4MAmhJWcA8NCmxVh+w0pT5WzrO9uw4IRFmD9tYVLPR9KmPzLzVav6VrCbyCWL9d/XYvDp1uQsQJAzI+UsXO/NOKMiZ1rWQama0oJmgvXTEhHXP+stiZZJ4l5tDdj4n01YdpV9HT8Z4fowWq8vw9R6ady7mYGSdHPta5McpqYBOLlaXYqWdhwYQad4aD7bnXvpJcsAQJWcR0akPnlyRsb0/nP7CmQIUXy0+ie8sM48XAAAhp2tX5QR2tx/d3TLB1oIXhoVYFhmJRwBzq9ch3u2/Oq6DfHrEjj7Pn3/FATRO+WM8pzk84hmsYMpZ3sYtDFdy5Ytc+3cyZKzyspK3bZdu8wzHy1atMjyfMm6NdIqFU5IxZ5AzjiOS0g5e/zxx7F9+3a8//77qkQdidrz/vvvq/YZkTOSgH3//feqfamOD5Tx8MMPG253m5zxooDNmyJ4/UvlvHnRMJ77Y65OnSLJmd+DtAU0CUEi7d65NYpREVvf2obmDc3Ubo0ytr1djqho8rYlThVtSmIiSZAzvyjQKWeiiAyD497/LoqFK925hxk7WlSzWk7UTwwDogCsqsNlFavRLaxftAnXeROHRhPbom0dt10saSZ/b83wPtBMfnTkJhDzt/7JjRB+rcGN2yRC51bMEAc1ObuicrXl8U0Gr1kjsk8L7atLe+szKd7/Dc0CBrbr3bvDDckvOATylVpvo5prURojryVh8/lGj45WZEYjOk8EN9y9tejdTZ3pt7YRWLHZ2K3xlOpNrl9fBs0YiwomypkHMWdmr2mn5KwrpNJnCUG6CH7//XfdtmTSqyc7md1dyJlZQpRUwKyNEiFnra2tKC0tjX9OZKJE2rN4sbrGi5Fbo5U62lnKmRncJmfP/TEPfVe24Py9D8TZsW1H15ajf3szztmxHqvEIfFjzciAEBbAB5JfH6NSztrs+0Oiytm298rx+z8lBf6ItYfq9rdxPBp9AfSIGD+P6ucaJ94hu3C4IQx/XmKvK4FIiR0UBUPSpQUPIMvAjfCieyJo8gUgznbHV420hYe+rwREAX0eXIg+ACY26Rfb5GQiboOmCLVOOXN5QkQzZFNR4Dkcs0OXACUGMSpi1+xqdJtcBF+28j4RRREbnlK7WEeiQNC+RrQtOA7IoHBnlmFEzq4vX45bB0xI6Po6xSOi7rc0tr1w+nocX6OPfXNjwcGXo9yHDt4XSwQkwcids0dHK15f9wtq/UGVGzrgzBuA2j5erZxd/piI7r8BJ2iO86JYOAmaMRaNpq7Omdlzh0yeQqWcpSYHn6dgylmaINlVRzcSQpDYU8hZuilnP/74o23KeK+yf1rds7POOku37cYbbzQ9vqysDKeccgra2rxJQyyDtgi12zFnfTukldiRRF0qcmJNDmczF59oqzs2aScThteiSN2fKDlrXKmsfhtNZObn98TarALH5w3XKOM9GRIiECvfGULUMEOcFgc1VGFssz7WLRlXMCOoEzmIenJG2NrHwAXMDVdU7RDiOItJoVXMmctujTQr82bDfw1FAhxayBNGv2p8i4i2C4g0RrDk/KVYdMpivP53tdtgxy79+8rNbHu8gzlDc4v+2HHNNRjeWm9wtD10Q0jzfKFR80fONY5/jbjgqkv2xfxoGDnEQst15Xq31NfX/QIAKIp0qI4FAC+Stvp9QDPxavx6vj7BDmDcX0RRxAUPCvj3hy4kTqEYYxETcuZFQhAze8hEJTQLMsytkSFt4EYRYhLMrVGPkpISV69t1MbXX3+97fe8IjxuE5iPP/4Yb7zxhqvntENmZqbhdq8I7fXEi95sZf3Z9cYJgQSXag1lUkyEyNg4MyQ60eeDymtEMCBnAjiYeS5aoXWb0s/DScShRImYEUk5S7zd79+0JKlECoA6O+V5VevifxspZ3aqqOBCoVztnLDvjlrsO2+tccwdmUpfo58ILpOzjrB60TJi0LfMyNlfbnWRnMW6Hnkvok1RzJowGz+MnIWqr3YAABq+VzIDhuvC+GHYLNV5ztqx3jVyFgxHsHebdZImEmETt+bS9pbEvCy0X9E8O5JxmXRDOdOOi0c3KmEch9brQ0As4ZI8S7az36dWziJR/WKHvF2LX9eKeO1r4J9PJ9/HaQhWJGrs1miW2dEJtJenIWd7ilsjI2dpgmSVM7cn7F1FOdtrr70s9ztxazS6fjL37c9//nNC35s0aVLC17SCFxkN3cgi6QS5ubmG290iZ/NXmN9vbTIHO0RdCjQvjNiPC6E+jFu3/OaJPTxRG23Dv/Wr4QIHRKlybKnRXqksOCWT+IKMGQkKUSql0Qz9OpoxpE0ff0kLURRVq/qTG3fG/+ZFURfXNJxQZo3gpnLWs6MVJ+7ajNO+K0NoxWYcU6PPSkg+7rTKjcuiIpZvBE6+TbrGNU8LCBwmYsN29TXN5s3rt7tnhzxBzibuTf1vDWivbFdly2zhlYW+nT/qXVDP3LkBDSvpCZUVJpf94ej4DM64n/QItyZUH85OOetm4sJshpd77Y22ntkAgPIPtqPiM4cESgMvXBGTBUm0ogJU2RojUQM3YRgr2OSiSLLzRiq3RsGYNF3+mIhr/+PunMFs8YIsjs3cGhl2K7itnKUjOfvqq69sU7prYffwcqKcGZEzWrc6I9CUYUglvCBnqYzpE0XRNAmOW+TsH/8270/kS5Nm5e6P9e7YVEQxETq0rgIHNO6wPKatJpzQy55Uzja/oo8hkZSz5Fafk3JrJBTKDFGgai8rnFNlnvHS3hj1x2yC0XAQkR9VP2OsEhgAQNSF8gfynfn3hgW4uEpJt94jElvwI/sE0bG1dzTqsnIGSGm0AanwLAA896mGnJnMYDrCwOrN7tgjTxj/QaQxX3CCcUKt3/6IXdPk0q2bks+qCwDFtc7qJAZNKoQXRToScgHTPd861P3wsoo1js63PjMfW05Rytr8eoH1QpIZNm4XsXiN6EqtNBmCSwlBSDLWaLBmSauc8cQNM4oldILl+qozhjaYTQ2e+ED6f0uViEWrnLd5Im6NVKn004+bOwYjZ2mCZFdA0s2tkXYy7ISc/fjjjzjppJMSNckQyZIzL2FWg84reEHOUhnT99///td0n1u/LRKVgseNQCoJNJc79cbk3XeCAaAbhXI2psW+VtjvlyzD5pe3OLaBJGdGEDjOcOLhBNGWxEiIKIqoX6ooXUFBwD6tiStfADCx2aQYEI09FgSmtKMVxQYZGa3gRiY5jgP2a9iBfE0hYy5mKk+u1BP2e62cGUHL8Q2VM1HE4NYGjD7LHYPClKfJEKIYd4GIphbR9H3ebhCHlgiiDt8NQRO2WBxpT6gmlPY7nEY507q82qGd5xHOSj5TyuDTRYQuFtFQ7967zC0Ph5YmAX/fvhITG3eh3iBFAG3MWZiIH6xOLGQwjkOvtr9PZjFnJAacKmLfS0VsrnR232kTgjh1a2TKGUPawG1ytmTJElx33XWGKdRp4IVyBgAzZ850dLwd6Q0E6F8IRhkI3UgfPXDgQMPtRvW6vIQbBObkk09WffZSOfviiy/w4Ycfxj9/+eWXpse6GXP25IYFhtvJNOjyy8wqPskojbRTTNyHTjmjxcqbrVNyG8GOnEXBmazb0yNRErL9A3VduRwhknASBDdglzSjIOrMfdONArkcB9y+1UipkGzlCZM//VlAayx+iddMwN1OCEIDI45ybO02PL1hAW4o/x1hF9zbaOPERrTW4+KKNdLE2+SyRklCEoFgUhvQDEETt8bicFtCKoP2O1py5hRtvA8dGep3RTIp9Wtrkx8Xc/J7AQCiLsUGV31aiT/VluOeLb9SkzMjt8a6FxSX1uok1ploa+5FBXolarXDtT3t6zGuLmp2sJgzhk5Duiln9957Lx5//HHcfvvtCX3fCxUmEbhJzox+UzL3LScnBwDwpz/9yXC/GWmjQSLt78Y9e/XVV1WfvSRn2pg9K/vdImc+H1BoMoEmyRnX1AGIommSEADYu7U+6aK0ItwlZ4kIXByFckbr1rgxIxfVp+6j256ocrb17W0Jfc8OP46ahcbVzsm127EwbpCzAW3Gv4OL/6/YPPtXES98KuKBjWX4v63qOp8pUc5sPvOigKNrpVi5Axt2oNkFL8JoVFpkoWnpE2u2QIwI+iJwMYTdImeUytmKm1ZhyflLTbOMdvdIOXOKKMejQ1NjYN0DzuLqVPYkuVDQyvvwYN/REACIHaIrCw8dRHxiR10YvEWMshh7L0SiQFjz7Gz7RHEdr0tifY/WnTUSpVeinL5mdQlBosCRteV4f/UsDCE8HMiYM5atkUEHMr7ITMEZMmSI4XY7/N///R+eeeaZhL4LuE/OZKxdu9b+IAOkCzkjceihh2LOnDmqbcFgMKlzOq3n1dbWhn333Rd33HFH3HXUjCB27949ZXYB7twzbXum0q3RioC5Rc6sVtFJJWHc7bNwecVqyyQhOdFI0i+Rqcv+QO+wi8mARGD7xxX2xxGwU844n+lcVYdlOUXYeehA3XYhQdeiVhcWBy7cewraNPm02yrasfLmVSbfMIfowpJuvS+AJTndAABrb1+DTQm4opJ4cvU8031BIYrTdyqBKTyAxqoOjGmp1dWLC69zJ9mFFYzS/svo3dGC91fPUmUxbHZhaISjUqZG2snStjtX4bcr9HVHASDS6E7hKoEyg+Dml7eg8vMqFC6tMtxfFOlAJAGCr11zyqlNLvFTM+9HOKgeq80bkjhn7MGa6FNfBACOi6tZ9cuSc4UGgDCRsvaBH2bh/dWzcPl26RkiJQNS3tlytslIVJ1oRndOh91p1SYRw84W8MnPIjWR+nIucPg1+ufW+KZqHFOjXvxy+j4zWrv85/aVyBUiuLxC8eKwU878goChLXU4tmYr/IKQ0IJDuoGRswRx5JFHGm4fNGhQwue88sorE/6uV+Qs0Ql7upAzUtkqLi7Gvvvuq9rvRDkzgiAIjuLzvvzySyxatAj33ntv/HtmBKa4uDhhuzqLnGnb0yvlzIhsWd2HZGMoZbRbLHxrU49Pq90Gv0XsRZYQTcg3XhRF/LFNims5eDVFRLdDLL1kGZrW0ddN5DOsJ4o9u3GIUBQLWpTbHe/1GKwqOCoj0ZpwZVuUsaUlWACwJSPH9hyVwWz8EnNxIpGIai4rZ4mUFpDx3x6DsS4rP/555U3OSSIgqYq1C81jETkAJ1Zvwem7lD62b+NOhC3KMrRXufse4kR9hkYAqGsUsbNOVLk1HtCwQ5VgBXCHnEWidOUqZNR8rM9yKcOt8hmCz9nU7bQK45piANC63fk9q9J0m6mzVuqO4cd3sz3Pw31H4d5+Y1EbyEBUUA8Kzs8l7JkiK2fNPvv3u1aZIhGIXX/uEfPRvCG5WrIdmnIg2UIU02olcnPz1mU4qVpZZIk0RdG+qwP8V1sso/eckrMrnhCxZgtw8u0itbvu1U8ZW3Df5iW4qmIVmtYp8p3TUhFWt5fcJZMzURDh79D/6Ec3LsTjGxfhyorVOG3XRqacMehhVmfJazByZgztw12bZMOJcmamZDlpe5JUyH+bEZjOImcvv/yy7bF9+/Y13K79LV6Rs4svvli37dNPPzU9/oUXXnDlula1XYoNEnP0MkkeAgBZQiShukc3Py9i7zNFPP6+8+/SonUL/ao177d+jeTncuiwccP6pHgA7howHg3+oGEChkTjPpo5pf81ERO1GwaG8Pch++HBvqMtv/9VkdTPjdJccwn4gMruUWJO4otCEY5DTjS5xYa6X+vx+9UrMO/YhRZHiejXrp6Qjmqpw/MfmT/bwy4pQwAwpLUBn6z6Ef84Uq8MFh0nouefRdXktMGnf5Y3uVDJIxKVxqobcCt+yUg560iwWnJ7pTMG2xEWMepce9LE97Ne+KgMZOHnghLMz+8JQK+67Ph2JxaevNiRbXFEpJM1+uw9N6r9GbptRgmMyMRCiSBskXF2iiaTbl1ZHZb9/XfkvLHa1I0ecE7OyGkZDYHJikYQsFmYeOU9xT43lDMZ5DNXXhRdeHIZDr7vJxRpEieRavnEpl1MOWPQo6uRs0RXrmpr7bPDJQonNtmRMyfK2Y8//oiJEyfqtifT9hzHmWZlzM/PN9xOg2TIGU2bFBYWUp1z4cKFllkUE8Vrr73m+jlp4LTw5lMmyUMASTlLhJw9HGvOe97wLuo50uzOJBIADg1x2Hug9auG/CXrtoloDPVW7U90UhsmFge6E7F5bbwPmzLzUB1Qntff9B+o+u6lex2A50uGAjAmZ4kgrpzZEFpAinsxQoTjkZskWWjbbj8h5wC0GTybtIWyVXAxKchFlWsRFAVcUam4N8m3oVdHK87asR4ffqEMyOKI/jc1bk1eOnOqnFnBrbTsokFCkH/1G5PQudocKme7aPPpZFsTI06jCT31sf6Y6p/pM6OS7/rKHdLfC/N62H6PfAbIkBdyrh6seNrwGclNlyP19GO2eV0zds40LgtDwik5yyBe7XZEKiBE8dHqn/DOmtmq7b07WvAwUdT7za+VE7lVZB1QvxMiUaCtsh3Vs2sAABOblH7h1zAxN8IF0gGMnLmMZGOYEkU6KWfLli2zPygJJEI8ZGjrkjmJiRo9ejSmT5+u2+6k7Y2ub1YrLTs7m/q8WiRDzmhS+Ofl5VGd89///jfOPPNMbNhg7laTCiTTZ0hYuTU6RaLKmYw2E1se6jsai3ITV10BqIrr2sFusSQ7m8cJB+v71N+H7KccQ5CNt74Dzm8arjo2kUmtKIjwxd7Sz/UeqtrXHiM+Tb4ArhiyH87b+0D8kVcQ3/96z72wLSMHQkyNMCyinQBfk2POaNwad/mNF/oiHKeKT/ES7QYE0W9xv+VYGa8gPyof3FSGM3duwDkbJeJ2YH0Vztmhrz/X/FxiMdMkIlHg3KrEk1OQEF1Kyy4adL5ElbP1Vy9zlNxG+9wxzUib4yzeOBwBqg7q7+g7JEgX8ZkLpH64I5Cl7Oc4vNtDnwH51xy9+6WsuP2RVYD1gyWX5mQLvkfq6cdspDGCQJHxIilJzA08/CxB5lyxe/cUxjxBcjQLQRdVrsXIlrr45wCRzjXZhCDDifMWRsKY1LgTEEVEIiJ+HDlL+V6sCSY07cJnq35QnSMnGmHZGhn02B3JmVm2QMA5Ofv73/+Oa6+9NmFbaOBkoq2dOHIcpyJDLS3O/F6M7m8y5MzK7S8rK8t0HwCMHTsW77zzjuE+r8mZU1Wvrq7OsT1u4s0338T555+ffFZUF+fE2UI0qRW+DpPYn6pAVtJKT0etgx+qMeOror4qd0GOl/5psSlTIfh9Ne5zrRp3JKfK2YZnN+G7fjNRWiu5ImlJRhvxeXNmHnYGs9AiKtumFw+I/50ZBHxBl5Qz2a2R5/Bed+v45J0BvbsVICln24L2sXLJghOBNk7/fMoQze/FH5vcWzona/MVhdtx9+YlKFonqQk9Y0lw9omVRTi/ap3hOaIOJsRm6Nbain2b7FUMGoguZNcEAN7gvRxOkJwBwJwp/8PWt+gym7ZqXndmmSCR49clAlqRXYj7+41Bgy+AR0tH6b7yyVB9plZakGRDzpJLpqff2rMITQZujh/00I/DRsIFOhpTube+sQ0rb1mV8DtErDB2cTcit5HGCBpNPFii3ZRFm6SUM5uhqnqHEDZqVeQgSc4cdO9/PiXgtpfVv/30ncoibr+OZty1ZSleW/cL/JuMkw3du/lX3bZcIczqnO1poMn41lnkLJkCyc8++6zpPicPourqajz77LP44Ycf7A9OAk5+q5H9JPkYOnSobr8Rxo8fDyB5cqaF3+/HmWeeabjPzkW2ra3N9LuJ9Ae5f5PtY0YQb775ZkfnTkYFdAuvv/46fvvNqJ4TPdwkZ1lRSTlra3f2ss+IdUGy0KuWjHEUp3yw72i8130Qdv5lbzzRZ6RqX6QucXL2XVEp5hQobolCRDTNf/xKr70BAB8aEBVS7XKi5AHA6tvXQGgT0K9eImcdPI/1BBnMyteTjhZB6fdkex47GcalABJRzuIJQTjsNHCnItFokswgynF4p6daAdj2bjnaKhNfJDLDGUQyEBnZFvFut/zHnVmRNr3/eVXrEGqqxshX1ZMxuRB2wIQwuuHedEll8uqbDLeUM95AGghTLKo9XTIcpw47BOftfSAe0sRb/v7PFVTXbtF4imqzdsaR40cHsQgyP68HHi0dhbn5vXDG0KlYmVOk+wrPcxh2j/qdTJvhlCRnsutthBikPt44liyqIbVRcHgt9lwCFHJW/UsNNr2wBfVLnNdJbPqjGb41dYb7sg1clMONEWxsNAkvaFd+qFNyFjRwa5zYuAsn7dqkO5YsMk+q5c0agntiufKMoPUEaWwR8e+PgPKd6u1tBkp9z3AbBj00X7VtPOHWqEVAFJlb456Gv/3tb7bHJJv9L1GYKVwPP/yw5fc2bNiAAQMGmO53opzRKC5uwE1yVlhYaBsft27dOixcKAXOG7lBPvbYY9T2aOHz+TBq1Cgcc8wxun1Gv3O//QhXMAvCk4xyRqp5ZosNhxxyiOl53n9fn6kiVX3DDm1ticegiKKIYys3J/z9tZmS2lgfm3QHRAEzy4CsI0Xc6yB+LDN2S1TuZRz5p3l9tR8KSvB0yXCcMXQq5hT0xlu99kLhuYMws6hP3C7AWdFn7RjTuleJEdFQOQOAT7oPxCnDDsXiPH2ynS+L++PgBQcCAJrWNiWlenZwPtwyQIkXjRrEfDVFCHJGbM/NBlqC7jzXSeXMTt3UqocywhyPFl8AMwtL4tuWXbUcC/5sldzDOfp2GGeny7UgZ00NyfsTDSkFCjTJdQqjymeyH/QOt8EnCrosjfFjXZik5QjurciI7e6QM5/Be5nGrfHbbn3R4gtgZzALfxCLFU6gzYBpGo+XE8AbA4cBAF7svQ/u7T8OO4KxxT6i7x+3v/IVngcCBep+T+vSfPMLSr+Qn38R4r2jLZpOoiH27FueXYi/jDgMG4hsqFG/mjAkUvOsdr75HONPNXrFct7CiM6dMA7CdTgZ5SwSleK17tnyKy6sWqeqKwaoF/+CxOKHNrX/sHrlt9GSIrNpZbuBUm+EQ+srrQ+o9SbMJ5VIjxnTbgi5gLAWBQUFhttpsX693m+eBmYkyk4ZsiJmQPLFsZOBUfINIPn4IZIo+P1+2+QW3bt3j5Myo1irl156KWFb5PP26KEPXDZyuSwqKsJPP/2ESZMm4c033zQ9byJtZKScJaIEZ2To3bHcqjOWLNatM3Z/okFHOLlV9GsG74t7+o3F34dIsxEfgJufl8btHa/Qj7OsODkzHvMcAL1DkYR2nse33fqiwS+dxO8DArF3Lbmq3NHk4H5pTNeu4AsdgmXlUDMSAgA5Q7IRKPSjvaoD7Q6UIS06OB5NPj+qApnYHsxC1CAVeQehnJGTxwcv5fBj3/5YlJt43UEZLS3Sfamq5xCxIWdNfADfFfbRbZfLErzTQ11Ts3k9vYt2+S77/maW+OOWbeYxxRkJV5YirmswPyNbav3Tm1T77ty8FFlm5Cxpa8zdBctL7VPF69Au4JdlItaXJ26ZKIgY8odUt6w6qDxrWw3qYT3XeyiuHzQJjT4/HtG4EVYE9Yt7NO97kpwdXbMNEwiXz/snKAk0xCwffunVB6cPnYrPis3nGaMI0fyreUBU86yIUhLaZ4hwcL+BcmY13G4aGMIPBSV4tHQUohyvUpiEgPr+8xnOMxBHYoSqLLcYVRrF/Lwd+njG/ut3oH+78eKIvy2CQ+u2A4BhZlsraJWzG8qVenx5mjhWcvGvOJZMKSBEUWSQlVgGrXJmJoa2u7WI2+xe1tjOAiNnCcJs8turl74ejtn2119/Xbdt2LBhCdljNvm1i1uyUzSSyYyYDA455BCUlZUZ7nNTOTNSwrRp2rVxYc899xz19bUwizkzij3r00c/MYtGozjkkEOwcOFCjBql99mXkQw5o1HOnCJdSiucc845CX/XyqXRMGGEFhyHBfk9URvIiNfWSaQArKFyRl5GNFfOtmsmZD6f8sImywz9b3ES5EyrnIVFcJoJ10cWkzUSHMchs1SazHTsStx1u4PnAY7DRXtPwWV7HYCJQ/X3y4gs9esJ9OnOIRL0464B49WpuROI67vn1VgsDDhVn/msWz/dsY0+Pz7uPlC3XY6jiSYRV3jF4/bPahrXWC3O27QajauSK0Ztt/q+9m71AsnEZnMXJzdeSWSNPrJW3pLJQ4wOt4TYGsVBfxew1xnODWtY3oAtr2/F5leU0gJFA5WJvlF2zzDHY1V2IU4feghmEUorILnW/qdEPd+IUizKyOUJhrQ24B8Vq3BlrFjw2sx8lBcRi9Oi1P6Nfut3yKASpR+HI8D7P6n3CwnUOJRVH9Jl0WqmsyUzF4/3HYWdMWUvl5g2aRdynChndYvr8Ps1K/Dzz9LLozKQZbsoQ4Pry1egb3tz0tkaD2xQUvhrf5UczwkAT2yQVPkX/5iLSUbxl7JSSfnaMFurNUp0Y4YTqs29WNxSqDsTjJwlCDOC0LNnT8PtRpNcI79/p8Vy165di4EDB+KLL74w3J+sm+XcuXOpj02GnD399NO47777UFlZidtvv92QuMpIlpy1tiqBuUakaNq0aTj00ENNj7noootw//33q2L1ElWGZHJIEsbrrrsOCxYswPHHH4+HHnpIdQ9or+OWW6NWBbv77ruxcqW+4CgJo35NY7coirjppptoTE0K//jHPzBz5kzH37MiZy0O67nJE76oRUFfM8jkjFQ2yOx/HKAiZ03EivoX3dTZ0Hy8opyRk9AtWxMnZ1r3KiEsqNwaTxx+GF7rTR/4HyiUnmFhJ3FwGsg2CRyPKMfjzvPtydkRIWD209I22bOJioRb4Lt5SqICcuJolpTAiIDJ5DcZcqaNoYuC003uE6ntVdzRjp8PnofaxsTfBYKoT7OeqATmBjkjFxtIdSocdJaNEAC4iIAPVs/Spf+mwS9T52H5dSux4alNysagYluHATmL9xGTvqJV26xqccmQlbPiiFrJbud5ZASAt3sMRlluMTCMzotogLpqBn77XW1DNIEFrHjMGfG7OU5UKTPbgtn4d58Rht/PJKZrgkbKFSP09sw9agG2vrkNPb+U1LEoxzkiIFYoDrc5jzkjbreWSJHPhIFtjbiuXIlBzBKi8AtCPBGP7ryx9qadBpktwDgpWWHlxeJWbGdngpEzl2HmImdEktyIwzn00EOxebP5CoKV8jFokHW2MBlr19K5cpmRM5rfGQqFcOutt6JXr1645557LN0tk8nWqIWRcsZxHG655Zb4Zy058/v9uOWWW3D55ZfH25fWJhrl7I477sC+++4LjuNw4403Yv/9Fad8IwXKSJX1yq3xjjvuwPDh6jTnWowdO9b03FaYMWOGbYykG3j66adx5JFHOv6eVRp9I5ciK8iT/ETImd8HXFi5Fm+snUNsJSYhmpiztbH4ifJglioGA5DImfzCfqWXQphMM7AZQDvGjJQz0q0xbFK/ywwyOXOUQVKDMOdTuU/lZgEnT1UfU69Z4b/7fA4DY6v68vCMqiZ7zu2Qg+wFcKpzRQxexauzjSe3MtE0+k6iiHKcLimMWRyXHXhBxM3PJ0HOBH2uFSt1zAq+mrakPTrI/kwmLCDv32IHpStyhAiGt9YlbA9Zo44j3LeMFg60yS600E6GIw32Y0xOpa9t1Tbeh6Af+G/PIbhzwASMHMLbjpHiAqC7ppv3zFDbJCQw0Y7HnBEG8Bwwq6AES3O64dmSYbh07ymYUVRq+H2SxAQ0voNCAs9sGTTkjFwksfIw4AGEI4klkwL0RIo80+hmfYxcd4M6gjJkt2LamDMzha2kw4Wq8QDgUlbUzgQjZ0mgW7duWLRoEd5+++34NnKyT9b7olXOnGL79u2W+63I2ffff5/09UmYvQSNYpC0cOI+l0xmSi3M6pyR9lilu5dJt1PFU3t9K7WKhBE5W7NmDU4//XTVtkSUPLfcGgcMGKCLdaSxp7PT7dvBUjlzSM7kCd9/V83CuSZpwM3Q0RDGSVqXDg74ols//JGZh1XZhapg7sdLR+HTbv1xx4AJAICnrlZnMJPdGv9X0AtPlUjEO+gkk4JWOeN53HiG8lmICOhxqDR5rQxYu1lrMfQsAWJu8spZmOfiCiEg/e53buew6EUOH98rtUezL4DrBk3CFXJMIDHsZeVMFduUwOPbz5PKmXIC8u+5eT1xw8AQNmfmqSZyn3frh10H9cPGWCKHpJQzzWfB4HylSUyUNlYk/FVEBfN4SqfIqGh2XGRZizDRLuTEmVzoMKqVpUUL70NrvvRsH9riPOOfIYYqzMYowczmDOuSC7/k90JL79z4ZxrlzDSZA+9DMADs/JzDqrc49O1p3z8nDQPyNSbWDlUTXSfJiWT44+RMuUccJHXx1oET8ZWBG7GMj+9VPysyNYXdhHDifVMAj6hNs8wnCmdXBc2flxlC1HmdM+J3aYmUTxRR0t4CiKLh879Xh3EpAEBR2WnJmdFxWdEIRrS6My6aaiMYepaAB97efQueMXKWBHJychAKhXDKKadg2LBhuPjii1WT/dGjlVS1XpEzO1hNrmmTl9C6RjolZ8XFykPY7BrPPPOMrqZWsm6NJOT7RSbXOOKII1T20JCzRJOUyOemTcJhRM4KCgp0apUTslhTU4OtW7c6ytZoBy05o4k5s2rnzoQoilixUcQOi6SeRvEeViAnwn81SGNshX9WrNJtWz+uH54vGYarh+yHKMerlLPaQAZeKhmKyli82WRC+PQRCUEAYGtsMudEOdNC4Hicd6zy+4QOAfmj83HwvCmqwtM0WLsVWL5TMjBcl3iQdwfnAyka+nggI8ghNIxDiAi7WZ1diM2ZufFjyOMBtZokOly1BoBMX0w549QxZ2R/2BHIjKcZJ4nBCyXDUPnX4fFJeDLkTAuBs09Q4gTJDGVBkNJhu4VkSD2gVs7IenlksgmzsgcPE+nqOzgey0ZLSkj3SPLZ5N7pMRjcKCUdPfmEXZDbHXf2H6fKOmiEJn8Apxbvj57HSISgY4f9u1XU/C+jjfMhIwB0L+QwbIDUNtPvs+5TB4zikK/JS8IPysOhvx2MgnGS7YkUoPfJbnYa5YwGE4eqn4lrJ6pdwcWwt8pZjV+ZL+2wKLeRGw0j4rBt/EQBa616dfX2lXj5j/9hfHMNggbP/zu2LDU9r7xoRetmaaScad1kk8HPC6JYuxW45UVGzvZIyMk2MjIysHLlSrz44oumbo125IycTCfjhkGqeIA1saIlXbTJHJySs7vvvjv+txkJuOKKK1BXVwdBEHDQQQcBcNetUSZFf/vb3yAIAgRBQFZWloooWJFo2e5klTNSWbK6ntm90LqOOrGnuLgY/fv3jytXtETRKtmMtt1plDMzFfOrr76y/a6XeP4zYNS5Io66zrgvdXC8YX0WAJiT3wtbhvfGz6dOUG1PZnLWf12Vbtuyg/ZSfTZLCAJI6aplV6Jh/ZXsj4ASt5LhJCZGc6kbzwCGD1T6sExicvfJRZtFZkYzRGPLvdEkMnCFOU41OSPJg3ZyGD+GGFJ+g9ubyAp6gJfdGqFTzuR03r8T9Z9qApn4pHhAvB4c+RvcJFMCOJXKkCwCEBJ+jwmieabIRBBJshA12S4kUYsSz8kWTb/+b/dB+LGgBOEDeuHnfMntfFZBCX7eJA22/u3JlYYAgEV53cH5yWBT5e+KYDbK8vQZgM2Q2UciAaTLpB20zxhZOSNx8DgOx0w2P8fF04A8zfjLzway+mbBnx8b9wm4NZopZ3bo1Q3o3wtYuUnZ1lyUgyP+UGLQk1HOohynig82AuleTdZCXJFdiN+zC+Of/7ZjPQ65+wfUWKTpt7RF8zPkeLL7Ni8xTOOfaTEmc2OZHtspiavRdODyWGKZZo0XygriN9PCiFzubmDkLAmQdabkCfXYsWNx44034rXXXlMda0fOfD5ffHKaTKp4LeGymlzTqiK0LnJOyRnZfla2cBwHjuPiv81Nt0aj6wD0Ko5T5UxLvJzec7N7obU3EbIoxy7SKmcLFizAOeecY3hMIuTMrM29UNScxHs+M136LS0txv07zPG6wpwyGnwBLD1xNNb3sIlJcTBRiwTV7bE6q0AXW8KbpNIHYrEXT3E452jg3Ts47NUXcfVIDpjPMCnqawSt6VqOncxKMwAIMUYiJHEerXJGkhzt5FAG2e0MMu87+l1CRMCun6uRj5j7D8eryRk4XDFkf9zZf5zKrQkAXum9Dz6JZW0kHx/agrqcL3GypnWzTBbnv/0zyk5fQn38uq0iHv2viLZ2EYKgTPaSgdyDly5N/Fy8KMbrY33YfaDKdfDLRUqn0E4o3+61Fx7rOwr/vYvHv0tH4s7+4/Bar71RF5t4j22uxarb1yRsl3xNFTlLAnFyVmFPzuTxriXQ7bGYMy0yLNaAu+UDOVkcSokuL48qPpbC3olCPa6pGkfUbldS6auUM/vz9CzUv6N5HggWBdH7BIlkJ6WcgTMshE2CVGFJd/kbB03C2izF20le4FtzT2LlXf56h/k7Yr+Gnab7jDCkVcrQWt9kc2AMRsrZuOYaANARQ5r6fVpkubi401mg+tWhUOihUCg0JxQKvRUKhQKafaeHQqEfQ6HQrFAotL/ZOboijJQDjuPw0EMP4bzzzlNtN1KptA8BmcS0tye+qq5VH6xqeLmtnJkdd+KJJxpuJ9uPxhaZBCTq1khmYLRDqsiZfB1aMkWrnLkVc2amZgGS2+4bb7xhmCBES86ScWv0gpxpXWWtIE/kzVbzA6KgWqF9ukRpjzDHI+AHam2yi2c4eJm05agXOyIch/1Gaki/jXI2chCHN27l0b+XtCDxdCwOTS4CGnSUTU59Ld3UI8klQJmcJVL8VUaY59XKGemyaEJq3FTONv5nExaeVIZ/rv5N+i40rcZxqA1kSGqHBUlS7dIcF+yeeGZegeMcTYJWE5NEI2R0RLBzpkHKbROMPFfEDc+JePi/0or+32Or6MlAXrC4//nEyNnx1Vvw4aofsVesOO+OQGa88PfC3O6qiX+zz49nNGnpzzgC6N+LQzvvQ1leD0R4HnWEy9qm5zYnpZ7tDGSCNyFnVgWXjZDZW7KrrcJ+7iGbrI1LajNQzgDgqEkWnicBad9VJxELFbFXFxfb54QM3b95Ca7ZviIeLxmFM+XMaJzLt1kmi8kqZ3bkrIX34dx9DsKZQ6fG61HK2GXg5sgH6Mct2ZJGHhgySsLm8WVGGNQmveCqG2wOjIE2Ng2IlUFxiDyLWmy7C2x/dSgUGgugtKys7CAAqwGcQuzrA+AEAIeXlZUdUlZWNs8zS9MQpPJjB5qYM7fJ2WuvvaaK69KCdtKbrFvjHXfcgQ8++ABz5szBU089Fd9Oq5xpj0nErfHZZ5/FpZdeSv09p+QsWbdG2u+bka5E3Ro/++wz3bm15zrzzDMtz2G0AOCmW6Pf70+6JIQWTorFy80RIMbBS4cqxVaDoqBy8ZlRpNSnC/MSOauxIWdO0pZXDlCP6QjH4/gDgCtPUrbZuTVqIROR9rhbY+Kp9OXzj39tLHKH5WLE/YnVbpQRJ2dJTIrCHKeOOaMY3j6b450oeds/UWfIiHIcrjvNuephNZcPFtPHh2pPEwWHMGffKDcPnIhVWQV40iQFeaKQY1UWrxFNC9TSwFeqLPjJp8mJJvZsvqxyDTJFIZ6kIMJx+KmgBFcO2Q/39xurUqtbeL/OtdlIMarVTLYjFAk4jFBRnI8w79MpZ1uDUsxomUHBdKs+H+hGn3Qnrpxp5gXtsYUoLS79M/DRPdZ9valVuemyqiL/NsFB6noZcmwoSaCjufbvELmN/vcMmf029n+MLCadrdGkKXbeMglv9RiCufk9sSuQiXp/EO28D3f1H4dbY8mcvi7qi7kaZZ3PcEDOCNMPra90bL8ZCmJKNy05o62HVh7MtiWzRpiwa4f9QWkOmrt6AIAZsb+/BTCF2HcMgHYA38dUtVztl7syaLIQnn322QCA+++/X7fPa3J2zDHH6PaTSUpoE5Ik69aYnZ2NU089FQceeCCOOuqo+HZSObNSaGTIE3Qn7SPbdMoppzhSYLxSzrRtJF9n27ZtVN83I8qJujWSqqaRcgZIZQ6sYER0tHYm69boVjFsGYkoZ7KrXzg/A1sKC1QFaX3EKjL5MomAQ8AH3Huh9VhzUt9FO7Nu53nwPHDiQYSbtMXKuVFgvExEZPUk0WyN24NZ8fOX/Lk3Dv7fFOQMsc4YZ3v6JN0ao+AgcOq03jTJAeyUs2TcmwRwOH6Ku+SMz0xcYRY4jmqF+vecbrh+8L4oz/bmVR8VYLqsbpfpc59b9sKRSw6Mf14fy2rphoskEFPiOA4bM/MQ4XmVi2Mb70OVxj4jctakSRzSvpN+hT+rv3J+2QVVq5xdM3hfXDNoXyzO05Mzvw/Yf6RuMwBntQTlLmiknBk+W3wcTj5Ev2MikTPq7KMIEhU7bdytMYlxFuE44F8hdD+sGOWn2C8oyON8MnGozp4EyGL8XCbKWbcpRZh6ZiHe6zkYgkbBXpTXA0tjpRoiPI9/9RsL8m0hk0YaCMTKR6Ixq/4pPeIJZGTkR6V+XE2ZbJFWOXumZFhCiyulLc04oMFcGdwdQEPOigDIfLgeAJkztheA7gCOBDAPwJWuWpfmoCFnb775Jurr6zFp0iQ0NzerYtEyM9UStRvkjFQYZMJDFsZ+7rnnHJ8zWeWMtIlUZcy2m0E+/pFHHqGyhwRJRN955x3b42nuLWlTom6J8j0iC2M7+b6MZBKCaL9DkiRRFG3vf2mpvlaM226NbpMzJ0qc3HVkt0YxwKOtQ525TaVUEX1N4Dj4/cC0A6xfhMfWlFPbo52hN/MB+H1qtx3Hylnsp8RjzoQotcvVJz9L7bK+Xw9cPuQA8LRp0SghxGxK1K1RJh1mCUHMYJRKn4STSVpji7pNEo3vslKVnLSPNmOcAPPYjsqJfXTbmr6js9+p214kCoypNXaHbLRIJlM+pgR7XTcEvJ/H9WMOwMOlozAvX3rvnb1zA3bNTqxOmso2ixX8Rl8AK3KK8ESfEbhqsJQBw4icadPdd+yiJ2e+bOK5HDsP51ffs1afH2tN6uP5eGDGY8a/IVAgkzP694ZRzJlVt9buI9Wpof05PHmV9FmnnHUkToYiHI/AhG7Y98MQuJ7mmQ9lyOPc5+Pw0o1qe/hA8vZE9eXVkTs0B/t9vm/cxdMOIsepSL4j5Yz4u7TdeamMIfcPx1GfT0B2f/VCRH4kOeXsomnGx3FQLwKcNPwww+NejiVMInHrVqmUVbKJdzoLNKmz6gDIy8wFAGo0+34qKysTQ6HQDwBu0345FApdAuASALjyyisTKv6aDjC6wR0dHSgvp5tUNTbGAibrlaWF0aNH49BDD8WUKVNQXl4en5xu2bKFmhxoUVurZO7ZuXMn2tvb8cYbb+C2227DnXfeqaolRdoeCARM1Z/KykoUFBTY/taKCuPiNpWVlXFytGOHIjfX1NTgoosuQkNDA5qbm9Hc3Gx5/qIiKYuZ3++nbndZsamoqIiT3pYW5aFkdp6MjAyccMIJ6Nu3L9W1WltbqY6bO3euzr7y8nLccccduOOOO3DPPfdYnqetrc1wf0OD+qm4a9cu6jaSIROoXbuUyVF7e7tpn5Fx+eWXY/HixTj33HPj+9va1IHlVVVVtvaQfZdEIBAwVFaHDBmC7t27Y8GCBbp9+++/P+bNM/eydjJ2o5FiAMH4ZCTKi2huiUjkLLYq/2GPQZjctAsLhvVVfbc40o6W5kaUlzcBKDG9xjG12xAOD6GyKaLJV9zC+7BjRwV2VQcASCusVuRs544qlAfUb8ddu/wAekDgeIQ5DgFRxLZN28AH7V/8384H9gawrjGISD6PpsaG2O81gr4NHr2kDvNWBbGzzofZv+ufey2xcdtU3+S4TwNKhr1IuB2AdP6qqgp0NJNtpLdr546quFoaCXcDkIEn+ozAqbs2oW9HC8KtYWp7yneJIJcw8nNF1TijRV19PZTXsRodbR0Ih2ltUjOHKMfpiocDwIzCPij5S2+Ef6/DLwVKsfuaXdb1NWXQ9iG5/Vta2nHz2t8Mj2g2SVcPAKvG9Ij/7sqsXlhVmIOjapV2WPiXMvScNQYl3ZJRPfS/46K9psAvCvHC6jOJosYd7U0oL2/EZ3cHcMKdeiULACrWVKC1H90kuaFRKTsejbH0hrYG0C5bBXwC6murcNrUAuRkiXj1W0XRrm6T+mJ7TZttH6qrywGQr4tLbeN9CLa1ory8zvB7HHqrFgV2VG1XLxRFswAUorGpBeXl9WiLSAuWNTtrwFF06d7deuq2RTkOdXW7UF7egZambEhTWHNEwu0oL5emuO0tmQCK0NQk/abmGJmpq65DebnzrLOyPSRBH/XLcHAZHMrLy1HTwAHobfi9nEwBzW1KYzX6AnFXwvao8ZzACPUNuQDywIki+pjUMWzjfaaeHJEM6RkcmOoHXgQ2ZOZicFsT8mO21DVGUV5eYduHKioDkHSd2Hk7lLlfrT+IoljMGAd15sV2jetwrS+IF0uGoiy3GBfF6oV+0a0fjq/ZiqZYMpX1m7arMhKnE4wWtmXQ9LC5AK4F8CaAowH8j9j3PwA3xP4eB2CD9stlZWUvAngx9nH3pLAwdsvKysqybFwjdOumCI8DBw7Ejz/+GP+ckyM9LAsLCx2fV0afPsoqZ//+/ZGTk4PS0tK4i6OckQ9QdwwrclZcXIxAIGBrk5la07evMmElr1FSUoKXXnrJ8pwkzjrrLDz33HPgeZ66fWRS2KdPn3j8Xa9eyiTD6jyffvqp7fnJuDkam5544gnd90tLS1FaWopp00yWjwj4fD7D62hjC/Py8hz3Ifn+lZQoE9WMjAyVC6DROUtLS3UESatMFRUV2drTu7f+xeT3+zFp0iSdygwAc+bMQUlJCX744QccccQRqn3vv/8++vfvr/uODLN2NEJmpjQJ4WOEhw/40RH1o52YrK3KLsSpww7Bwfv7gYXAmqx8DG1twO/ZRTi8KB+lpQWARQbFpbndMIVijAGA36cmsc0+P/r3LQGfAciP2CW5xTiooQpLDYrjlpT0QmmpepW2ISzGv9vO+RAQI+hd1Dvu7mSNLdJ/sVMWFsq/1wj6Nrj8lCJcl8lh5SYRI8/RvyKC2dIqbXYwm/qe/Ybl8b/lWmGZmQrx69unBIV5ZBvo7Sop6YXSXtIxOdnS/plFpVic2x1vr50NTqR/DoHfrPo4ci8funfvjvXYKO3mzYv7ksjLK4DZa9TP+ame0xLUMRkCjN0aOQD7jOyOk/aeotpeWlqKquN3ovKLKmT1y8RN3DD8uXoLJjTXqI7rXdwbgXyaPhSrsRgwX5RsslDOggW5KC2V3BgDAcHw+MlX9UJ0Fr3KQPYhwNgNrCLDPO68e7dclJbmo7QUOOZrAd/GHpE/5/fC1JjLVR5H95xetUlE+c6NiJdOjt2rnlMGQDysFs//bu9mmpkh9df37pU+v/qt0uH6DeuHlViDaKMAv99vaVN+vvSs0CpnbbwPJdlZKC01dmPmeQHknL9fP/U1ehRL5w1mZKO0NBc1BXWoQR0Kcguo2qggRz9Hi3A8+vTujtJSDt2LlWecGbIyM+LX6tkj9jszpN/UWNSEXahGXhb9u1Xbh6Q6Zwr6D1feUXmF5vbdf7EP//1BxIKV0mcyo2NOYS61Pbk50j3rFmlHhiig1hfE90V9VLU2rVzsS4b2RrfSbkApsOaVUlzzaBAfrv4JOUIEmdEIWjukvlNeXm5p0/qd6t+al6OMozv7j8dTG6TBwouiabKs5dmFuGlgSJJkRREr8rthUH8er0b3xnE1W5EpROETBRR164PiAne9OVIB2ydVWVnZUgBVoVBoDoCRAD4OhUIvxPYtA7A1FArNAnABgKe9M7VzYaScJVJE2kpidTvmzEhtGDBgAF555RV8/fXXqu1Wbl7JuDVOnz5d9Zl0v3Oahc9p8gzSJvJe0cS30SKRDJIknLaBl26NRkWora5phUQSghhB/h1Gbo2ynYcddhgee+wxS6VMCye/ieMAThRxRF1MGfZxaG3Xr+K1+AJxl76bBoZwR//xmF3QyzBIXmePk6BnzTATOA5+HzBiIIcXrpfO81Sf4Xi2ZBgeJIrgyjCOC1H+lifp0Va6eyZPN2SznD4WZXsyTVY346n0E4z1kBNdOE0IQnZhMv5MdklMJhaG93EIFFmTltAw4LN/KY3522ucLubs6sGT8VpPqcZdIkWxZZhla/SLAjgOmP20/qaOeWYUQu9NwMELDsJ+5/XAnQMm4OG+o9TndVAk97iarZi6aA3+yJYWg/wl6gWZJt68vaKE36n8p/b4BB5j6ms47NgZhJsaed8e7jsaPxRIC2C07bNmK0AOfPl54fdzGP7KeLzdcy/jL6rsUX/+4G7pHP17Ab5MHzgfBzEs2vYj+bdoM8K2c9ZujXaRC/J9i8d4+eljzr6aJ2L9Zv1xUU6K+QWABgqBkoyFksd8NAo89ZGIReuSH/cCeNMi1Nr3xGFEaUxt25ELBU66pQgAohhXPVt8PkPF3AxF+xfF//b1zkKE5+Oxlr3DrWhtB6IU7tWkW+PRNdvQfaO0qBPmOKwnCqdXBzJMa5a1cz7lx3Mc/jVsAqqvGY8O3oedgUz4IaKkQ7JpdwTVLLWsrOwGzaZLiX23uGpRmsKIeCTiyzp5suSPnpurX+lym5yZEa4LLrhAt80qpidRcjZmzBhdGn2SRDglSU6Tb5AgydmYMWMcf9/OpkSzNdLGPp111ll45513cMkllxjud6POmQwt0ZNVqX79+hkdbohEYs6sxpMVOeM4Dtdeey31uWjtkcFzwCH1FTipOqZ++Di0dQA1/gwA6jSM8gs9zPviQflG8UpaWLkh6qA5tijcEb/GJX/mcOmjIlp8AXzVzfh+WWVrBJR0+vTkLGaWfH6H5EzuumauJ3KAfKKTInnyYZZK3wxkFyHvoTwxSib2hPNzyB+Rh2F374OcITngHtYfc+vfOIwarHweM4TD57+o2+CPrHw0836cv+MPiA7SHGojXwQYuzXK/fKgsRw++xdwwi1iPKmEP8ePnkdKiQH+tJ+Ipz8GtgXVqknUATm7omI1UCEllQGAAbcPw/orlsb3k7UEBQCbMnIxuF1ynw0bkDOz2oO0iIJTJdZxWqQ7g+jPqiHLcfF6Z5EW+jFGXl1uVZ+P7vkC6I+bElu36Yi9TrkgB7FVhGjzehUN/gKkxSqrkiF2JEIek/KrK54dkWLRYdpNIjIMVKcIuDjpqapR9k8cCiw2KDNHeozL7RWOAlc/JeKMHRzOhgup9E0aQlsj7sSDOPy4JLa4rDlWpfm304/7rG2NeHvNEsyIud8K4NHK03Wg/hf0U9fmjd2vimAW+nU048/VW/BU6Ui0UExfZRI8qK0R/6hYBcTSAMhj7NpB+6JPRzMOmJaHz9/rjwur1uHLInXIQLvmRSZyHPx+DoCIbRk56BVuQ9/2ZjS17p55ClkRakokoh4YYejQoVi1ahW2bt2q2yeTlURVBkA9sXZSaJckCWvWrMHSpUsxcOBAR/Zo28goyUUyylki5Mxokl5aWoq1a9eiujr5IPFkyZkRSTfCa6+9hiVLluDqq6823O+GciZDe18mTpyI5cuXY8WKFdTnSEQ5M7pX8piwIme053KynwTPA9eXK7+d83GICsCzJcOwKqsAd/UfpzpWC+2K6CXH64+xyq6og+ZR9EdWHhXZkGGVrRFQXnq0E2uFnMUyyDl8q8SVMxOPtngq/QSVoXhCEMIuMwJJ1mkiuQ7ZPvIEIhmlSs6yN/jKQeh1bE9T3VS73Yh/yZO9iAOyqD1vlOMMZ89+UdF0j58iqXc/PKk/Tm6fBk1cmNDm/F2WHcvOlpXN4Z0eCjslyWO9P4j5+UqMkZFyVuNXd6jciLNFPe2k1blypvytfdzIfbK9mXKMcYCRcubj9QsNLd9zWPKy3lbtFEa2r7IG+NdbYlypAmW/1g7zNp7HdoswSrtFG/m+xRNw+GWliq6N/AbubxGOjy/+kMrZ7Kc5/Paa3qAw0V3l77W0KecCEs8aC8jZGo2hrbdIfuI4dfvNy1P6vpNFor2mr0RRtAOn7doYt6feb74wv/B4xfPCn6MeD3L7rMouBAAcXbcdReF2NFPkNpPvcVFEzeSisV+9JrsAPxX2QcAPTC8egKsG74cXSoaqjv2DUNjiNsZs2hGrB1ccaadOUpJuYOSMEm5mfBk2bJhhbahE3Pa0yM7OxhFHHEEVv0SCJGf77LMPxo4dG48VS1Q50yaFAOgLHBtBPj4RcqZ1Qd17771V8X+JIhk1D1DiDGmuM378eFPCrf19yRB8I9IzcuRI5OXlUZ/DLXIm22KkMBr1n9NOOw0HHHCArcrnZLElt13jsurj8NVDHPjeWbh+8L5YRNSdMZq/acmZIAKjnhiBYI8g5u4rZZnKy3CgesTa6fWee+Gx0pGYUVSqIh5v3WY9C7JVzmKTUoFyVV87OXSqnMn2mClnokO3Rm0/MlTOTHj90H5S8eD9RgKDiBwhZFeLK2dJrKBz2omYQZsZvXKMtsmkoanJiXKmhplbbYC4IMdxGDOEQ1aGAYmTJ8CaiZ7Q7ryNZHe5jEwO9X8aFN/+a67yvM6NhlXLGRHi5sq21AYyVFncXls3B2EHdcW0dcucuH8BGnKm2Ser0x3NlMoZB/DESeRW9RsoZ1kZHMbvY0DONEaQ9t36kgg+KPdrOrdGrfrazvvwxFXmg9/WrTE2xqKC5Bq3o9HZODPyPohwHOTH981ncejTHXj+Og7ZmVJf1qKDeI3L7SorQYo7c3LZGt/tOQQA8FnfQZbHku0lisDz13PIj00XPivuj5/zpdh5R2NMO0/QZH4c/i91Tcptw5U48My+6gyN8nP/C8JDoyjSYVvTE1CUM+1zRxvXGQxIitiGrLy4B8VlQ/bH6z33wsfFAwEAXz/MoXc34PN/KSqp/JuuqFiN6tXOs1KmAxg5o4RbypkV5IkoLTn77rvvDM8xY8YMfPHFF46uPWKEVNiDJAsyEUi0ztmQIUN0x7ihnCUbc+YmklXOaMmZHbT3yE23xkTglluj3EeGDh1quo/Ee++9h19++cX0N6xatYraHhk52nhCH4cjJ3GomK7vUz0L9d/XTp4EAeh/Tj8cvuoQHPNXifBm8A4Wf2KHVgcy8GNhH3B+XtW/zz6Kw+KXLCZJdjFnnDPlLDtDHXNG033OO1b5W7Y9wybmjNat8T+fqD/Lv4emzpkoAu/ewWPus5yqJAB5D+MTCoE+fb32KG19KjNbsjRqomAwRuTVZs7JHE07Pk2ej75YzJkdtEXM47Y5cGuUISsgfJDDl48rrDjM8VgXq122PZgdzxAHqEsDkPdqdoEyucwWomiv0C8YmkGrZjdaZIs0gqlbIxTlLNxC1z48rybUG2KLuz6e3q1RW1tKO944SuUsTs608Y9n+XFEyNlzh0TcrTEK3PWaiOe/cjbudQlKYnXp5An7Pv04bPuYw6UnmBtCxkLFYxdjc/uwS8rZquxCnDT8MEwfYB0nqB13Y4Zw2Pl5rE04Dj8WxuIWHShn2gLYEY5TJbYadOkAjH12NAonFeKItYdCFIE3ew7BjMI+6H+u2q1Qvl+tPj+Wx9SzpzfMx7+usi8ALbez9rmjdR3WunoCwNbMXHzYYxAisTF07H4ctk/ncPA4jog3JZ4bb/xha086gpEzSqSiVoJTt8YPP/xQt43n+YSIyCuvvIILLrhAlVRBnvwmopxdcMEFeOONNwztk9FZMWduIlnljNat0Q7a67vp1pgIEilCbUXOnnzySVx44YU499xzdfu00N7r4uJiXHrppZg5c2a8/zkiZwbKmfY6vbsBl50gxXxpYaScyd+Xa+doJ8uWEGUyFEsKYNAMVkPLaCgYue3RrlhnxyZ5cu0lq0nYj09yuPTPwDV/1R/EcZxhUpCoQzfCFz5V2y1PqkQReOJKDo/9ndO5EBnZQiI3S7UTkONhaFfRNefTkjOzx1PvYg73XqgkejHqJvIEh3OS5EZ7DpPjtEkfzGBGEBJxa5Qn2bymhpdfFHF/v7GY37sED/QbgzUxt6YNGepnKGlLMmQxoGnPeqfkzMKtUVbOwpTqNE+4Nb7ffSBmDhgIQFpUoV1L03YP3T2T3QgpyRmvIa9clvV7w+4VTCYEue9NejfCjth+rXImq7hjCQ5kNw8gY87yYwkEd9TF7HJBMS/Il87RzvsM75s8ziVb9fvJd0mcLDpQzkTNSQVweP4BtSJWelofHPDtZASLpfZ7v8dg/Lt0ZLwItwzyndFCkKEz5y61tUOeDmgt1ypnNMm0AOW+yn1IpXpvZ8pZl0YqlDM33BoTnViXlJTglVdewejRio+x04msPLnee++98corrximMk+GnCXj1ugV5Fgor90a7aDtM271oUTbzy23Rrm/dO/eHS+//DIOOOAAQzuNcNxxxwEAzjjjDDz//PM4/PDD4+dz8rty2tTkTOuSBgAHjgGeu45H/166XRgzWP2ZHE7yJJ138nyJmU4mBdAd4vC2kS/a+EufckU2W6PuWM1/Dp3A4fnredPMjFqlCHCerdGvmTSGiWfOP//K4drTzA00a7YizRoK5yCTnNF5eRtyCCj38LZzuTjpN+ominLmII5SY5E88byr/zi8QrgC+kUBe6sXzA1B9sFrBu0b/1tMwLtaPhWnIbA+UcTOYBY+HD8KWzNyMSe/N+7sPw7XDt5X1d9PPEj5u43TkjN6g7QxTLKr1GN/p1voy7RQzuQ+GaFUzjhOmax9W9QXHbFPPp5+4VFTHlHvCs8769Paq3KZ1s9jJ8oZQLgR2oz7xtjcW3u/GnwBPHI552hhtoNoo+IC6f8dtTG7kkxMBAAnTFWeRUZWkYt7RvvJ3+L0OQ3olbNBfTnsd3QuRj02ApM+mKA/nvK8TpPvyPdYS6i1tQRJ5eyO8+zPK5M5clHJV02vlqcTGDmjRCqVM9qJtdFDxw2XNO25nLo1Wj0MyQl1KhOCeKWcyfW3Ek2l7xY507aJW0llEkUibo1G0N43MjGInZ3//e9/8dFHH+Hhh5VUeE4XHMIREVvWafqbwcRa5m89CjnMeorDfRdxmP88h+8e5TBhqGa1kmgamZw5mVjLJxA1q4WqQxw2NzkU45OQDkp3oth3426NSQw1K3JGOynSvvBJ5cwOZseoa6IpxCHR9P58QHM+yjYzMi/KJdCHNJDVt0V5PfBJ94Hx7aMmZmD4QHvjyD64NrsA2/tJ8WFOMkhqIRPYgZf0R3BoHlbGXKfkPhLheZTl9UCYVzsg3vo3DiMGKsfMIlwbo5RKFaCOtwOU8dbNuAa4DlbHya5kEdqkO8QtEKG4KMqE5pRD7M9hl0Vvww5K5Uy2STvOBOexriS0qfRplbOGWP1i7biv9wfxz1Otr7nhPQ7fPkoQHpKcae6fW1laZdi1h90zIa7kOUhMpEvjH1tk6n9eP/Q4vIfBN6zOpYBUzupy9DVJtZDvsVaZN4o5k7H/SPrnEJm8h0tC6exMMHJGiXSLOYtGo6isrDQ9h5v2OFXOrIiQG26NiahCXpMzo+QnNOiqbo1uKWdakIlB7O5pXl4eTj75ZGRlKW4b8ndo+/RX84AsQdOWBuyD9HycOo7DredwmDyCw1H7GgTmk7V0YpN03sHijxzrQSYF0CI55cyZ+44gk8XYZxpub3bnDN0a4WwSok1UYFS/yykKtcPU74wwauHTujUaHGN0ZqNuG4/bcKKcaQ7VKkw37jUJvY/vhUOeG051Pm1SGNkm2pg8ow4rT2RHPDAc477ePx5jYkTgya8HAxym36+06CN9R2NBrlTWoq2RcqExKsZjzpp4P+YRSX8OHU91CtXkXvvrOnjn5SrkZ4TIcTpyNtEgAYgWLTavKCXRDW1CEDXabBZzaFPpV9dL/9PWE2yNPXu1ZLrBF4ilVjfHoD4cjt6Xw5OxRCZPEglN8nNMFq2SydJKLOzZZdilJWfUYwx65cxooVF1vMWpyWcRWcC+PsO8kLwMWTnTxglqM6IeNUn5nBEA8sxrvkvni00pZxb2ibs9+8KJL1R3Jhg5o0S6xZztv//++PLLL3XbvVDOvCJniRahTie3Rpmc0dSmM7LFK+Wsq5KzZAuIO3VrbO8AMjQvEK27FaCJSbKBSjmTY86cKAwUMWe0vvoyjGLOKiopF6RE+b8Y0UziEWREzgSfPCmiTJ6gdWuUJ1UU3zVVznTkzFlcnha0CUFotjl1a5T6vvrY2uws3HaO8nllZiEmvD4OmX3sV8EBfR+UbaKdOBp1GXKcFRGJYo36iLZd9unHofFbLq4oyWSovYlywSF2X8Mch78NPRj39xsLAJg8Aigp1h8/qASomM5hzTuKzSpypk0I4jDpjipzH5SYHflRbTdppUFEvgsJxpy12TiP0KbSX7VZtodukUi2x6eJYCLVHDtcfarUX049lIz54lTuzG4oZyDi8uzIl9ZdXAvB4RgD9DFnduSswGJ6Qj5ulmcXKdegIK9myhmZEbV5hrrOY0aAXn1t9flx7aB9EQUHXhCTihPsLDByRomffvrJ82s4cWtctGiR4fZ0cGu0siHVCUFS5daYKDmzKv7tBG6SMy/cGt0iZ8kSx0QSgmQKats5gsnMeIzDYROAJ/9B378MY84cJQSJ/WdxyVGDgbOOpD+lmpxJJ168gnJRRnNYMm6NQYOcC0s20Llbxa+v+RyOE3L779KSM45SORMEER/9JKBfXYPaRsqEILrzGVwurpzRZo4U9W20KyMTmUFOdYwTdGgeyRW1ziaOfYqMlDNyIY/DDWcAl59IvxCSm83FV+hlN8L2Jsp3Wey+RjgeHbwvPqnNypCUOS2CASl5C9lP5JglwCDmzGEyB45TFGEjt8YLjgP+tB/w6s2KbR/f62wgJqOcvdZzL7TavALtXivaR3uEMgZOtkc70deWQrBDbra+vciMlk6Vs3YDJVEoUhhXXxMvwuev43D8AcCph1qfX4nJS2IB2oac3X4uhyNDwCf36Y8jm3t+fk/cG1vA8GvTghpAHpfaOMEo0auyM9XjqT2sf7do+4xKjeQ4pWZnKyNnXRK1tbU4+eSTPb+O01T6VudwA07dGuXj9sSYMxpyZtSOySpBMtxWzgoKpJlFKBRK6BxupdLXItn2curWyHFAhpacERPrIydx+OFJHv172fcveXIydi/CtUV2a3SgnHEa5ayqxshuDm/fzmNAb/2+bAMxxMh9J5OnJGfypJGTr23/nQITb14jFfD3Tc7cGnlNju+wg7FvdgVSuQFAKGfWNr07E7jjhjrddp9mgn/4ROn/A0Yp2/r1hA6G2Rpj/3Mi3RgSRSArqn4+VAgZ2KtU+XyYPjeAJXQp/3V/WCM/y4CcaSaOD1/O49lreeqacIASQyRnbWyjJWcxUhk1dcBVY6o0L1UlMCBJnNa+SNxlj1I545TJmgi9W2NWBoevHuZx/p+Ua540lYM4m8c5R0ufxyt5XgwRT2NO6z4c+1HP9R6Kj3oMslXO7FpSO/bjypmNYh5XzjQT/az85OdC/zhZsTruXk2pnN33puYdCACFwfjz9/TDjVvk0hM4fP4gb7gIoDpfAm6N2tT1RsmtSBQXcJjxOI+/HGztng8AWzIkmc1H4eGgKGfqY7Wp9Ml5W36OnuBrVXSzrKiJZI3tbLgzM+ziqKkxmP14ADeyNe5Obo1OJ9qkS5ogCI5+a7qSM7fItLbPJFuE+tdff8X06dNx2WWXJXSOdHdrTEY5s1ttNMOatzl8MRe44kTCnlh64oSUM4pDf/kPh36nKEe+fxeHojy9/QE/h0/uA066TYyv6mdS1l6T36/xmDOK5ulZxOG/dwLdC9Tbjb5KG3siw+eBJ7POrdEnr1pb96N5y0VkR/XPc61y9sYtHF79CjjnGGDDdmD5RmA/gwB4w27LcQhzHAKiSLWKLorAPypWqbaFOR6nHiq5lG2ooM9IKENKGqJcOz5xpHW1NJhgGrkPA8bk3+wy8gq9HBPTXE+50BhrR20MjBbPXsuhpQ245M/S58I8Du/dqSfzWvPkrHROkjmQJ4krDxSvj6f/yWH0YKm4uhVolRh5r9wyMvFNWjnT7I9SZkeU92qVs/P/kvy7lSyHEHaYrfHr+cD+xOd6fxC8n8f854AfFgN//0tiNs1+msPvG4D7H5TuQIQycZMh7ALfLKAdc3L7+IWorfIuxMmZ+sAmg6yP856Tfu/EoZxu4S1D42mhvWwHzwNR+tjOdAJTzihgNmk8++yzXb2O0zpnRnBTOfMiW2MyMWccxzlWz9Ip5sxL5ez4449XfU6W4A8aNAjXXnstsrMTC2a49NJLVZ/TjZw56RdackYTL2SEvfpyuOavHDII9zF/AglB5DefWeFgEn17cnj6aum4K08C/nqY+Xfk1VF5VT+DsqqxYrqzmLPTD+d0RWuNWkFe/aRNg66rv6Sz0xzUMWcBOY219Ul5Xh0sH/96gbofd8vncP0ZHHoWcdhvJIeLphnfJ1MS4mDiaHRElJOKbt91AY83b+XRo9B5Hx9GVE5xGg9jdJzZOCO3Th0n/X+aSb+WlbOOWB9qrqd8l9mQMzkT4wkHAtedziGPcIk77XB9IiBT5YySnImi4tYokAlBKF6h+TlS3yrtYX5POY6+D2ljzuSj7ZSz6yxKWAD6VP+KmyWtcqa2u7hX8u9W0q0x2TpnzbwfPA+MHsLhn39VF7l3goPGcrhomvL8r6NccAAM3hkJLjQCwKhB6s8ySQ8KAuxycMhTIW1CkOye+jCP/UZyuPh443fLzWdZ298eT7zD3Bq7JMxW2U844QRXr5NuypkX2RrJfYnYmig5SwflzKrIcrLYf//9sXbtWvznP/8BkHjdNbdsOv/887Fy5UpcffXVANLHrTEh5UxbrCmJF5rOngTcGnVL1zb4+0nAijc5VSYyK8iTtABllZtElDPTcxlcsjX2go000D0XteRsQSzTHs0isZkSoSVnq8vp3NI4TiEGJDJ62mc0M4JZ20YcqItGbaxNYZ0IyMe5U5crI5Ji5nJFmjrjMSkJxzGTjY+V77mcgKOVMiGIGGM/Zm6NG9/nsPF9Dn2607Wbts3jpI8yyY0gEosMIBKCuPS69/tIwmh9bPy3yAp+7Ht2oUbX/BU4aIz5fm2qf6cxVVoXOX+2u8oZbWp/M4Q5PuFno/aKAT/RN5PgHXZujVboXcxh0wccLomtC8vKWVAUYLcWK7/utPesTSuFaUC234o3OVx/unq/WeKdCFPOuiaMJnJuJXIgkW4xZ14oZwBw8skn4/jjj1elRafF7kzOvFTOAKn4d16e5E/T2X2I4zgMHz48Pk7SRTlzHHMGERObqlXbElXOjJBIQhA51sMuTXT8eI7DiIEcfJQv4vhEnWKFuLZRxI4a9Qp6MutDRs3Qxkt52IQ2wTb+pCMsYvn62N8cjwv3noLfc7phcB/rpC2f3s9hYG/g7duMj8nMUG8Pi3RxcDxnrL4EeyX2/rjxTA579wWeuprDC9cr53WknBmSs+SnAuTPdJxJziKVvtV1ggEO+/Qzv6//jt1z+R60tToji9p7J3/Kz+EwsMRBLKNWOZOnXg6SuKjImSbmLFn4eHryEU/8Fft88Z85DO4DPHy5dXtwHIeh/c33Txqm/izb02GjeijZGtV2+1wnZ87iBLXDPsJxrt0vjuPifdNPXSraQDlL8l02oLeStENOvhEUBESi1uc1S+KS024tv5LmjxioLzCuHWdyUpjWBkbOuiSMJnKJFh22wp6gnAHARx99hM8//zwhwpRoG6VDnTOvyRmgLBok0z+9SCrjFjkrLjbIY+0ATt0aue0t+m0ukrNE3Bplt3sD93xXoEz07cf9gFPJsqax3+KycjZ0ABdPix21Sehw6aNinLzW+YOoDEpuuevf4y0n8SccxGHjBzzGU9SLAujbSOpu+h+VmaBy1qsbh7Xv8rjqZA4X/EnZ7iQexjPlTEXOtH/YIMmYMzPIBbTdImeJQnvVfn1k5YzOHkEk6pwZJARJFqRyRmvTmMHScQeO5WzHlwyrx1wwoO7Tsj3hNjo3y8G9vCZnzpQzbdcJc3xSC1daXP1XWTmjl860liejnMmQf5PA8YiCgw8iwjbu3mbK2ZZeRdbXsjFX6+EgPxcZOeuiSCYGzAnciDlL94QgySJdY84SJWduEiFAIWc0Sp4Z3Lx/Tgg+zb0aPXo07rnnHrz33nsJ2eO0T3ONEsklR6QbLzQZctY+bbyEJWLH2mXzSgTv38U5mug3EtzVSbZGMxhdMegnXBubrBdlXv9Geal5GWVAm3ac54wTlAQLkmfW6gybDtwaDbZFXVDODN0aU5QQxA5KGnTKd1mMoAguTZG0w9sXizvlKNKOA5r5N6d8duv1EfA7UM5kM8yqUVvArjsEDchQh025AbOYM1fImSqVfnIxZ5Ek3BqNEMyU1Vf67+jqnLmw0EiO+2jsB0Zsph9KzJl0z7ZPHYDQfydg1aAS6msZYfw+HO46n/QocLYok05g5IwCycTvOIEbylk6uDW6SRC1kIs2V1dX2xyptskrwpiRIa2A0yhVu4NyxvO8J+SMpk/TEunbb78dp512WkL2OCZnLZLdGzOV9GtuKmd80LlyJsML5eyvh3EYPkSO9aB1/ZTghlujEQJ+oCX2YyON9v2IVBi8QjzbHoVyxhnQoUCOG26Eibk1CgZEyEm5AXN7iGvE06BT9muDV4zZIsgxsWQbe/elty0en0PpRii3kWvKmeay/gxnbo1kzFm8dAKX/HstFHMlPOlgJT5HpCRDsoLPOWAcR0yUjjUqEwFIY12GfM+iNiqMvNenYX7BYudhE1qQypnTrLFa9O1odvXZmJEZI/gO4pW1tTFdUc6IU8htFGmnUztl5SySE0TPo3rY9qUzYxlHj9vf/Jg7CXImP6fbd0NyxlLpUyAZsuQEbsScdaZbI02ds2QxYcIErF+/HgsXLsTo0aNtj/eanDlpo1QoZ07IohG8UvJo7PFa5QScx5yJzdJYbPIpb2lv3BrpV2Pll7HfzwEerBuJcvFf2tgKTdY2t90agwGglacnZ2RWO69Aq1TxnLGwEHBhVT8RewBjwvTg312IMyWvIYct0qb5NhiPZBFqEucdC/TpzulilKwgTxo5hwlKdDFnCXYpHTkLOrNHEMhxFlPbXXjVf/8Yh7nLgf69gCdfib3LKGO8ZDghZ2ccIdXOmriP8X6yThxtRksl5kxtd2aJQUFHhzBKpU9b50yLCMcj6CY5k+NgHbk1apWz5A3yGSjmUZvnkNatUYy9U+3G190XcDhwjFJX0A5yH2pvY9kauySMlDM5K56bcEM5c5OEyESP1kUuFW6NQ4cOBQBs3brV0fe8Jmc06uLuoJzJyqRbcEIWU0HOnMacic3SfSXrr7iZEMTnT8CtMYYE8ulQQfTRx5ypESOaLicECfqVYHOalMipcGukzSTHccaqKG1yFlo4cUU1mjj1osw6aAXyvsvuuhFalcHg8Wk2znheys5YXEBvc5xk0ZKzsHW2Rqd48FLlPBlBYMIIqbFo3RrJhCAyaGqc2aEwj8Of9ueQGVSSJwgtlIsySk59anAch6P35dDdpFQDOVSilHGdZm6Nfhdch9VujbJrLF0fytDUBhDgrldBZpasnNF/x4uYs/OO5WL/A9HYD4zYvO61dc7kd87dF0jnuvM84+8FAxyO259Dbra13fdfHCOJsVHTsRsqZ4ycUYAkZz169EBbWxv+/ve/u36dRGPOrrrqKtdtAYC6ujoAoP6tqSBnMhminlx7POF34ia3O8Sc9evXz01z0k45cxxHGXNrbOJJ5cxFdTronJzJk6J8g2LSbkCUX9iUkxDZvckN5aynQTx4wK+s+NLEMMXdGj18DtGuopu5Nbo87B0lKzBSzuJudkmAvO9yDSdacja0sdbghEmbFEfEqXJm4taoLS5Ni8MmcmibySE6i0PDNxzych26WYrKuJfVCTf7UMBPkDNa5Ux2a3RxnLUSr4m4qy3lc0j7DHXDLiO3Rlrl7Ijl61SffaLoasyZQs6cuDVqlGAXFhoHlkh9+7X/4xXljNIVNV7nLPZOnTJaOtddFyQ3+G/5m3Se7sUxgcEmqUw6gpEzCpDkTBCEuBrgNhJVzhJJSU+DBQsWODo+FeTMsfKRIrdGGkL9ww8/6Lalm3LWt6+DQA4KpBs5c+zW2CiNfZVy5mIiDl+AQxQceNAHmstk6IwjORw7WUri4Spi5Iw2DbrOrTGJt8qL13M4MgQcEVK2BcmaPhQmxd0aPY05o08IYtQcbj+PnLg17vhou26bL5i8PeRPklfkI5Rut5dtWWVwPvfaKO7iSqtUGbg1FuUpqfkTQUZQKjwcDHDwxfzbeEG0fe5V7BLx9gx9BKVbmRqBGDnjZHLmXUIQO5CFrEftTZfEJS7gxUhK3ohcHLzgQFfsMXJrpI3FLa1tUH32QXRXOctU4pVp+tC734s6D0jOhUUZQOrbACDIizJOlTNiwTPDhWdR/Dx+2c2SuTV2SZBkyUnxWqdINObMq0ktTQZCIzu8JGdOJ9fa77kN2piz+vp6nHXWWabfdwvJxpz16dPHTXMcKXnpppw1r29G7hcbASgJKQCAdzFwwOfj0Bg7d7SeUjGPtVNuNoevH+Hx18Pc7duivLxLW6NKBqf6LyEM6sNhxuM8jiWKCgcDSiA7jXImZ0f0NFsj6CZqPE9MYr20x4Fb44Y7Vuu2+TOS70MHxkKA+/YA5Lrb1G6NHkO+X7Qqg2BAzmY+zqG0hztjze/n4gsOdm5yoUtEfPyzPiGIm+TM7wPanSpnMTiJObMDSc5Ke9MpZ/GEIDHDehzeHbl7ueOen0m4Ncr3S6CMo9TGvPpEMeF7tlepgW0ZnOINbPOwm3SpiLPuFbGtSqMuFrhbr1d2a7RTzsxiztyG/C4TaWNf0wgsIQgFSOXMywlkom6NXtRcA5y7xqWSnKViIk8DJ+TMCOmmnBUUFLhpzm4dc7b68Y3xv8NEqnFfpnuzIp4DGn0BFEbD1ORMVs48E4Z8zsiZbIboQsyZjNws5W+VWyOFTXElz8PnEK1yJtnjHX55hsOmCmDtJXTuRGZww63x3os49O8F/OVg4KnjHMaceQzHCUFkt0bi7rm5jibXFfOJokSoLZxftu+S/vciIYiMRNwaE4k5s0MrMeWIxxzaqJ1KzFksIZmL8ZykGyuZoEQURct5jiiKqG/jQAYJ+ETnytmvr3BYuAo4ZrJ+X2YQaIz1ISEiWsaxlu+U/ufhLTmTlTO7hCDabI2udmbyOrHzUmeNTSMwckYBrVujV6B1a9TasCeRMyfKBzkB98om2nIDZvvTLebM7YQgybo1/t///Z+r9jjpP8vXi+gR+5skZ7xLriCA9E6SM0FGHCpnnlWscOzWKMENt0YZOUSitaDfWVFjxa3RO4QpkxVEo4kle6HFlNEcpowGbpP7dcLkLPnnY3Ymh6tPlf7mHMScCQ5iZhJF1AW3RjcScJDninIcIAJCRIAP9ifnNM3kasyZT6klaEfOtPa4qZypyFkg9iChzNYox5pyAfcejAVkUWOOQ5jjEIgRas7C/W5mmd6tmofzmLNxe3MYt7fxvswgUAcOAYiSgm/zXuJEEQc27FDblO8uBRDj5Mz6OHnMBzy4Z0b2OE9u1flgbo0USLVyZldXTTvR96oOW6LkzMs6Z06Us1QoMbTKmRk5cVs5c+rWOHDgQNXn3Nxc4wMTRLLk7IYbbnDVHiduse3EsCJdVNx0a+R5oEEmZ3XOlDM3V4hVcJoQxMVU+jLyspW/gwFnRY3jbo1poJxFosYJQbyyJ1HlLODiggOgqB5RCg99D9c744grZ7RFseUi1B6RM58Pjutmxd0aY3+47dboPCGI+zFn5JCNx/baLBJpszW6WepEu6iruDZat1F1gz6ZTDJujUbIDBLPRYpXx6gWfdIdLtPdxWFZObN7LmrdGrNzvXlWiw4XGtMJjJxRIFUxZ3JiDzvlTLvfK+XMKVJR58xptj0gNdkj7ewxi9/rzLpiS5cuRVVVlWpbuqXSd/vekeezI+/kZIx0b+JdClgGpKx27UFp3Dfvou3TsUmIm6m/SMgzCNoxpmlGN9ZmjpkM7DscuP50tVujM+UsNiH3oJmUBBzWBknkzPi7biKapHIWyHTXptg839a9CaAWs5JCPObMaZ0zYorkNhmSbaJxjQVIku+NWyNteQh9EWr37HjiSg579wXeu5OLL4JxdglBYv/LypmbpU60oE2nH47oF4e+6tbX3YQgGcQ9oxhEAaKW5rLsIvxYUALfPvnuGQRAjMec2RynI2ceuzWmiXu1EzByRoFUKWe0E2utcpYu5CzdYs5SGcNk59ZoRs46K+Zs1apVGD9+PFpbW1XbvXJrTJeEIBzHUfcho+KaAOFu4xLklMi1DXTjRp4Uee3WmHDMmQvDPxjgsOAFHo9cwUtujZQJQXKiYRxWVxGzJ2afS4+jYf2Vv2lT10ei+jpnTX73s+vGV6wTLJHpczEDKUBma0wPcuZYOTNIpe+JWyPoJtaAvn5fTaN79vh8XDxG006FEbV/uLhINGwAh7Xv8jjtcC6+CMZF7bMRAoBPXhz2lJzRKWcdYfWC3geHT8DrvfZ2N5V+UFmAoqm9FiGm+x91H4jH+o6K19l0C4KPLuZMUc6kP7wjZ7IXCHNr7JJIVcwZ7UR2TyZnThI6pLLuWropZ3Z96NdffzXcnk4xZzNnznTVFhm0ro0qckYmBnBROQOArFhBzfpGWnIW69ceuTU6zdYYJ2exP9websEAMQmxmVzfsnUZjqvdBkAh1G7Z880jHK46WVrVjyahnDUE3A3CB1xQzlyepMl9U6DoQ1pu8kt+T+z/rUEGhCTgJCHIp3NEzJgvqL4HeKCcOXFrJJ+Nse81t5ocmyBo75k2IYhX71cpo2XsmhY2eRlzBgA//ZvD9afL90xelLEhZxrlbHPPbohyvLvKWZBe7QSkVP4yZBXN7VsnK2e2bo2C2o4cj2p2xuOnd8OEIIycUYB0I/RydZ/WBSxV5OyEE05wdHy6pdJPJTlLJ+XM5/MhHA5b9guzWn3pFHN2wAEHuGqLDFrXWHK+GiVjIVwsQg0AWbHkF00t6aGccQ6VM61fo9velgEfcQWbYT+uuSb+d9yt0SU7BpZweOpqHgN6E0WoaZQzTftsyUmwkrEFaGM9jHD9oEmuqkIAMdGnmBSRj87yYBYe6DcWRZMKXbVHUc7s3xt/uVXEW1/HyBnRe1yNOeOBqIPC4d69wRTI7oA08UsD2xqRUdUsffDIOEldtC8RoYs5c3nR6pDxHB65gkckSk+otcpZTZP0f5aLJXIzg8o1aGJxM4So7m+3n9ViXDmzOU5zz3LzvFXOaOM60wmMnFEg1cpZupCzZ555BgCQnZ1tc6SEdFLOqqqqEAqFUmZPuihnHMehpKQEALB9u77YrAwzcpZOMWdeZ9i0d2tU9pPKmejyy9/np3uhyVCUM1fNIAxyRs7kF6ybqfRJOE0IIsMrJY/niBV0G/emSFQh0/W+AH7O74UPhuzjrkFQ2scpOasIZGFVdqH75CzWB0SK12WEaMOrB+/nriExRB3GnMl9WuXW6OI6mko5o3C5kq1wVmTHGfjY77NLnsB1RPHM+vkI1EveGW7GnJEg28iqX2uVM95lF10StOM+HFGePwCwbAMHvw8YPdg9W1QJQSgWQTII1p0lkzO3712CCUHy8j3qRDG5m9Z1OJ3AyBkFSDKUipizdHFrlEmZbJcd0kk5u+OOO7Bs2TLP7JCRbsoZAPTrJ1VX2bp1q+kxZuQsP9/dAOFkUvt7Tc7s+hB5edJFxe2EDlw8sx1F3EBTBIGo/GL1asmajpwJgoh/lq/AKdWbAXgSgiKZ4+Mc1TmTIXqUEITnyUkjjVujZPOynG54uN8YtGZ459YoOkzcK9vmdpkhJ8pZpEVqwxbeh1af35MELk5jzuSJPjnu3XZrdFYrT50MBJCSeLgJXlYZbOax/hZNJ/PoOaSKy7MgsHLL+AT3szWS4MhFGZt+3RHRp9Lv30sqN+EWMgJEH7IhiwCQQbzv5H7dWcqZ4tYYiznLYW6NWlAN71Ao9BCAAwBsAnBBWVlZOLb9EABvAVgPIFpWVna4N2Z2LshJXDoqZ4nWtLKD08yI6aScNTQ0xP/ek2LOAKBv374AgG3btpkeY0bOiouLXbUlmYQgXpVkoHaNJcwhX7RuJwSRJ312teej7QJmDPgB3WKfvYo5o3VrjArAkXV6ddbtRUofryQEcVK8LOpighKtPfGsbTYxXpJbowTZdC/qrSoJQZxNQmRTPHNrpCDT4Wap47fzXknBCpmmJWdyLAxZ39DthCByggaaGkyy+kpa7/ZrjaOcyGqzJ3qVNVYV42UxznTKmctu5zJmPMZh5QmxNqJRzjTbMl1ek/H5uLjbZ3ubCLuAhCDh1jiroDcA95Uz0W/vhgroszUGs72SX+WEILsfObNtkVAoNBZAaVlZ2UEAVgM4RXPI+2VlZYd0VWIGqCeNXpIzecI8b948y8lsqlLpO4nvAlJb58zOJtIVNR3ImTYrovb7bkKOGzO7JmCuhnbr1s1we6KQlUE7ZRFIP7dGcjfp3rTPOBcDB6DEethl2msrV99Pr9yJ4m6bNhNZs1u6o9Zde3ieSAjiwHPBM7dGHghTrliT2RrlbHhePB6FBFNGyy6ybpMzmRHTKJ3hlhg588hPd9ZTnGPlTCFnKVDOKCaO8VqCHgafye6AdsoZr1WxPHNr5BCJZyO0UM7i8UveZmvsXkCfpbUjIuoWGzLcT9KKSKxTtjVRKGex9vm4eAA6Yra5zqvlRRmHbo0ZWd7cMzmV/u6onNEMqwMAzIj9/S2AKZr9J4dCoTmhUOhqVy1LI6QixTegnjA/9thjpsdpJ7pTp04FAIwYMcJVe5xkRgRSU+eMNg26V4W5taBNpW9Gtr1oKxpXS7Pr0sYX0kImZ3a1+4DUkzM7Qk2aI3Acrh68L74+ZhyyS7PctYeSnNVWqQ/wyq2R88nxOfbEg4TcXD2L3LWH55Rzp4VbI0eftY10a5QJpifKmYPYExJy07i9RsQ7cmuUOlJbbFy6fb+mjuPw4BXSuXnKhUavlTOfw2yNcpOIHqYG8fnpCDWn6fNeve7JhCA0iw5KtkZvDOqWT1/fMBxR7tm/+wwHIMXOug0hNmbaWuz7taycdRCrQ67fu7j6an2YPAzlVPrBLI+8ZHbjVPo0bo1FACpif9cDIJfWywAMjf39WSgU+qWsrGwx+eVQKHQJgEsA4Morr8SRRx6ZnMWdgLq6OtXn8vJyT65TW6ssOf/4448499xzDY/TXv/KK69ESUkJjj76aFdtk5WXaDSKcDhse+6dO3cCkIiIV20kuys2NjZaXqOxUSkCw3GcZ/bIfSMajVpeg7y3JLywS3ahrK6uNj2/tvi0DKskIolgx44dAEDVf6qrq3W2eKnCbtu2DQUFBab729s74q4iAoA/sgowpFeb6/csEqvYGYkIludet1KtnFXX7kJ5eZ2rtgBAS7ukDIo29jRosktefFwzpkyow949W+FmEzU25sRVp7qaOvjK6fpE3BVSFFBeXmF5rBPs3OmPk7OWhhbLNmpuKdK5NQpCBOXlO12zBwCiMb+3aIf1c0gLmTi6Pe7DsT7d1mr/LqjaKi1cxZUGUXR9jNU3+9ADAKLWfVpCiSE5q6ra7hqxrqsNxonHzsqdOlVca4+hV6/L7SRAyiIqRq3P216v/rxz1y60lLe4ZoeM5uacOBmqLK9EZtDYY2HnziCA4vhqUW19LYRy91On7Krl4+N+R8VOtFrcs/r6POTFiEe8DwntKC+vMf1OIojGhkzFtmpkWt6DEmTGGBGpUFft2InyPPcWsiOxcROxeQ41NuUDyIkrZ9W1VajvcP9d3x6RnkMdFM+hzkBpaanpPhpyVgdAzhJQACDeu8rKyprkv0Oh0BcAxgJQkbOysrIXAbwY+7j7aYsA8vLUqY+tGjQZkO6JhYWFptchiQcA7L333rj55ptdt0cmZ6IoIhAI2P5uOV4pKyvLszYqKpKW5bOzsy2vwatWhzjP7JH7hiiKltfQ9iEZXtglJ/XIzc01Pf+WLVt02wYNGuS6PbIabNc+gHJvZfTt29dTZbF3796WbpyBgEIWDxzLoWwDcPVfs1Ba6q66mJUdS0kdte6nm1EFcjrQs2d3lJa6m10TAHLypavwonX/zGoQsRG/xz/vNSAPR53prlssAHQrElEH6cVakF9gadNvWB7/W4hnj+Rd7dcNYRERTlp0yPBlWJ47M1NAROPWmBH0uz/u/Zuk/236EACsHbMVrcukGbb8lHTbnsws6fkS9Adtz12TVY1GKJNGjnf/eV1ULBFAn0DzWwUEYn5XEYKc9evbx7XnUe9KEes5KZFOt4Ju6Fnaw/TY0sIIDl+zQbddhLvtlJEZm9zbtFGOb4fqc89ePVBYWuiaHTKKi8Q4OevRrQfyS43focWVIgARgdh4796ru2V7Jgp/logIJz2H7O5ZZpYQd7OUVe28XOtnRSIQfdKiSm5WIUpLu1scKSAo6mM7e/bogdJS996xgcw66Q+b51B2ttQ2ckKQfoNLPYkVDOZIi3IB3oNnrsegaY25AI6I/X00gP/JO0KhEJna7UAAf7hnWvqgM9waMzMzTY+jid9xA07dGlOZEMTOJY0kuqmwx+6eaNuwuroa9fX1JkcnB5o4L609a9euxcqVKz2zJR3dGm1jzoj4lP87l8eWDzkcu5/7NsmxHnbDurVWfYBXgfi0CUG0bo1eeVzxPOHW6MA7RSZnOe56ocZizuhSau+9qhzXbJfGVTyrnAdisEjpThSJiPiVeEv3LATqv3H/xjlJCCK7NbbLbo2uW6O4DtPGnPkNlDM3n0eqTIQ2LntndmzDabs2Scd6+S6TY7Ucx5x5ma2Rrs5ZcbgN/SulxTSvYs6k2nRyQhD7Z6NMPOQyDkH3EzMjGnuYRNtpsjXKsZ1Kn3Z7aiu/yyI2aRAEUXJD9UGEAA+TW1FmHk5H2L4mysrKlgKoCoVCcwCMBPBxKBR6Ibb7r6FQaGEoFJoLoLysrGy2d6Z2HjqDnGVlmc8oUkXOEk0IsifFnNEmBNHa261bN9fT1mttckLO+vTpY7kg4KUtZjZ5hURiznwBHv16efTSl725bF4gbfXqmbfXLzS7iazulnpFpjliUurgJTtiMIeRg4AvHnDXLp8qlb61PYf8rCx4CB7FwAFKtka7rGTrtytJQADp73wP0ljHM/9R3K9oi35F33XE+rTjmDOP3Kp9vJKtUbCJhymuVTxlvMzWyFPGnPnCmkUir2LO/MQ4s1gEEUXgzbVz4Pc4lb5qUcbmnomtURzQKCmMMqHzIuZMLqFBk0o/GOvTHR6OM18wttBoQ15FUUngEuF47+aMPrrnYjqCisuXlZXdoNl0aWz7ywBedtuodEOqJo1kenOmnCVnU6qzNdrdEy+zfGqRCDnzqo3SkZzRLjqQ5nhFhAAlEF+waaL2FgHkU8GrcDwxntvfZnVYOyHwUDmLJpCtsWc3YPkb7jcSr0qlTz+u5Ux7Kza6bhJEeZJmMwnZvktJyw44UyKdgHOQwjrSqo6F8eJR5EQ58wsCRrVIMcJhj1Ki+h0kBPER4zAVCUHsxj3foXlQpSCVvlWiG+0jgfeKnHHKc8iODBVtVmLL4uTMA+VMkOuKOVHOiBeH229cXzCm5NkpZ4KSDMTtuqEkONlVkhWh7ppIN+UsVRP9dKxzlm6p9OlVmNSt3CRCzrxKvJGMW6NXSCSVvkdZvgEAvgAlOdO88DpbOQu3piZrm49XiI0TMuFV+zjJ1kgWMdYWpXUT8iTNbqK/fRfAE1OyzBJ3y0LI4GKTNFDU8JKVsw4Pk/9wATlbo/0z5oqKVRjQLsWBeknOhLj6at1GPmJiSVrv9uPSL2c5tHNr1JA3r0p6+H0EGbJoI6FR7SXjmVujT+kPdm6NbT6Ficm/wYPa89TKWcCvpNInE4K43odkckaRSt8o6Y7r6MpujQypI0MkObOqf5VqhcGpcuZlhr10Vc4EQbC0aU8lZ+monCXi1uhVfBdAr5yFNS88D0rkAaAnZ5G21ClnccWAMmYI8O6eqeqc2UxCIn7vVqlVoKznU92g3KbqzExMeH2cN/ZkxH43hbIYqYxll/V7QxQBKbW/AOm3izZ96GiisLq3yhndPSNdMb2sc+YLUI4x7X5PlTM5ltLCphp1mRrOoyLUPEfWprOJeScTksVGvjfKWexd1m59zwpyjJUzt+HLiCl5FEWo/XG3Ri+Vs9i7bDd0a2TkjAKpnDReeOGFAKxjplJFFklSY9cGF110EU488UTd97yyyUlCEC/BcRyVTZ3h1milVnWGW6O9UpVebo2qSYinbo3S/3axHlrVyKthJr+7OUG0vCd6cuadUiVfyUmdM69CK0jlzM6tMUpk/xA8fC4KlLEVoqjEnL00bhxyhrif7RNQlCqE7RdlIrGU5JVByVvEi2biyIm1g0LdYY/umSohiM09Uytnij1um+ajTAiiXWXwahEk6CfrnFnEnGnIopcJQeKKuY1yRi60ZcY+eBJz5rNvH0Dqb8HY+67DQ+UskEE3xgSRdGv0UDGPK2fMrbFLIpWqx+jRowFYk7NU2kOrMrzyyivxv/ekmDOALinInqqc0ZJXI5u8ArVyRvztZcyZ7E4k2s1jNZMQPujRCrGPU2K8LMhQWEPOvGohnieKLDt4x/JeuTWSkzQ75YwYV166NYIyAYcoKvfJgQjpGFxGLH6Mxq2xUiJnVQGX02oSIOOFRAcFab1NCELp1kgqZ55YE7uOTB5sO0aKYvADdHF5upgzj4pQkwlB7PoQGfuZJZOzTow5iwpAhkEqfbfhD8p92vo4KeZMSQjiFWQVlWNujV0TqZxYBwLSE9JK+UmlPU4zNpLf8QLpFnMG0KXTT+U9SySVvpeuqDT2GNnkFeTfapfRkyQCXq3GAgo5o0k7ToIPeqVUcfECzlaEMdqmXUL3xBwp5iwBt0avyJkqW6ONchYhlDMvXdLEuFuj9XGCqLhZeUkWnZAzIUby23gPE4LwRFp2By5O6eDWaBZz5rpNsguYaPMs1grmHr06ggHK2E6tPR6O+7j6apeNkLinsotjhgfKmezWaKvgC0BGbM70+7teKmd0fVoUlVIDXqnTAFjMWVdHKl3S5LizdHBrBJxnbATSI5U+uT9VypkV+dhTszXS2mNkk1cYMmQIAGD58uWWx6mUMw9jzuTJDWfTRbSqkS/gzeObo1QZdMTEKzdL0q3RQRfxKokLzyvExi5+KUoEBnqZaU+kTKUvispL38ucv3xsksbRZLOM9TGZPHnRShxHGb+kgZfkjNbN0syt0XWbAly8T1gqsDqpyiO3RmrlTPMu8+i5qFbM6ZWzX/J7AfDGrTEec0ZDzmIrbYFcDyS8GIKZTtwaU6mcMbfGLok9WTlzmrERSI/siF4TMhJdwa3RS9DEwAGpsykUCgEAli1bZnkcOfH20q0xnvrZ5udriYB3yhnhRmgxg9cRE8+KhiNe58xJzJnPw2yN8fgxu3IDZMyZJ9bEQBlzJhAxZ4KHUh4nkzOKmDOZLHmZGIC8Z85izlKRSt/OrVGx10v1NeCjG/f6mDNv7MkI0BFY7aKVV6n0OY4jlDMbl/hYn/41p1t80SHogbulECMfdllao1El5syXpdyw3sXu2qMoZ9bHpcqtkd+N3Rq9o9BdCKmcyMrKmRU5S6UK4zRjI/kdL5Bu9gDp59aYbuTMqVtj//798c4773hmT7du3QAAzc3N1geqsjV6Zo4ymXAYBMR7mI1QoHAj1GaX9CxBCaGcOXNr9MScWPtIsCOLZMxZRoaHypk8SUsb5UxqfJ4mviuunHn53lBivBzFnHE8XrmJw/i93bVHUs7oatOZxZy57pLml8e9aL3ooL2wR/ct6FcKdVvdM12iJA9d0OUEHFGb7IiyizrZp3PMS9cmDDnmjEo5iz2wfVk+LHqRw7adwOA+7raVHO9nV+xdRGrqnEEmxLshOWPKGQU6g5zRJgS54QZtfXB3kW5ujemm5AFdw63RSzh1azzmmGNw4IEHemaPXOC9ra3N+sAUPdDl2CjO7p5oV4g9JENRCqVKZ65XMWfkir6DYeTL9Iad0SqLgDpb42mHSd85drL7NsXdGm36rCAQMWceyjCyWyNPEXMm9zF5Bd27mLPE3BpPngqM38ddo3wOilCTjIx0a3zwUndt8quUMytypv7oZcwZ1T3TujV6SM7isaY2/Vq2NwpvyZlIGXOGqAA/pJUZLsAhNIzDiQe5304KObN/Dsl1zvLzvVTOYu/WFM6/3AJTziiQyom1E7fGIUOG4KGHHvLUnnQjQ4koZ14jXcmQk1T6XsKpW6PXZJqWnKWqieIKj20Ka7VBAY+e3qqYKotJmpAqt0ZOmZRak0X1PtJ9x1V7eCImz2YSQu7tVShi+yccehZ5YJQ8IbVTzgDwsUO8zNboy4yRMyrlTD+RdRscyLTs9H2og+c96dZkgWU7JU80+Puqk4FrT3OZMNLGUurImTf3LYOSnOncGj2KOQMAUfaSsUkIAgPlLNeDZKSKW6ONa2xEdmn0eTs/iz2HeJuXpyACwdiNmzjaw5izGFlkbo1dFOmmnMlEqW/fvp5PZBPJ1pgORajJdkmVWyNtzNkbb7zhqT3pRhadujWmCzlLFTujVc60kxC/h3W84tkarSZFqXJr5In5oMWkUdt8/kzv0qALtCoMqXp0CCjp7k0jySvoNMqZbJSXZEgmxr6oAFEULce0GBVj5MlLj4vE1OAw5x05oy3HQEKOvRxc4oHqQasu6opQu24KALVyZpnJVquceRgfHKV0I5T7GFnbMMcDchZ3Z7axxx+RXRq9dZaTibGdciaKSv03f453NES2h/NyJcojMLdGCqRrQpBUJL1IN7dGWrKYSnLmxK3x/vvvxznnnOOpPYmk0vcSTt0aU0HOpmUcjzFLx6J5vUXcWYoEc562+Ktmydor5Uwq2Bsb91ZkSKeceWOPys3Sas6oscef7ZFyxtEpi1pEmj2M8qJVzoiYM0+VMx+HDpl8aIuVaxGREwPEFim8cGskY86sChobkDMvoCpCTeH6KUM2z+fBwoyPNpZSt8u7mDNFXaQn1JxHdc4AQIiphHbKmayGDh/ssVuj3759BEGMp9H3ZXlX4wxw5tYokzPeQ8IoE3WWrbGLQp40ZmRkYMmSJZ5ey4nq4aVCJSPd3BrTjSwCzu5ZKgh1uiln6ejWOCV4IIZtHYHWcnP1TFWOwUNXmURiziLgvFPOKCdpuvgvr2LOKJUz7SPK71XMGamc2ZEz4p6G62wqsyYDOfbETjkTlX7mpXLm90EhZzYFchUXMO9izjgiTtAqAYehcua+OepaeXaEmmgQ+ci1W91/ftP2a+1zKiUxZ1aEOoUJQQR5PmRHqGPtJ2cLBLxxa6SJOYsKQFAmQh49E2VQkzMROLq2HADgz/bOJvm9ze+Gbo2MnFGAVD3Gjx/v6bWcqDCpmOinW3bERNwsvYaTVPqpINTpSs7SSTkTYvTDcjIbu53RHlnI7u/BmzUGXlbAbGPOlD+jHOddtkaObpKmVc68um88UYTaCVkMeBVzxhG3SrQeSxyxK1zvJTmji60QRYVDe6qc8Urx3aitciYZElfOPLCHrFFlqcJoTeM472LOZHscuDVmxMpnHDrefaOoY8404D1yH5ZizuwXHXTPIQ/dGuPZEW3umezyHSQytHrh1oiAfcxZNKrUOPN5SIQAwq3RJnMTH45iWGu95zb5CLKYTnkKaMDIGQU6Q/VIl4k+jVKVyoLG6aic0aTSTyWhdkLOBg8ejE2bNnlqTzrGnEXl6bVl4Lu0r/mC4Z7aQx1zRuwXPB1jxCTN0l1Gs8HDmLP4CrrFO18bl+KZWyMPgOMUlytLQkQqZzbFf5KASOnWKIgieDnmzMNsjT6eUM7arJ9DcjyI9wlBnLvIwSNyxvMOMv8Rf5d0B355hsNfDvbAJtWijMWBmmdmoMCD6sqIKWcUzyHtopaX74+4cmYbcybtLy5SbMnwsAh1tF3AuAsE3P+mvp2kNPoxt0aPiLQMWuXM36Y8C53EXDq2x09ZWD0NwcgZBTojxitdJvo0bo3afemgnKVbzFm6ujUOGzYMAwYMSIk96eTWKMRmHzTFVnkPV2IBIt2v3YIDqZx5OJFVTdIshlkqY85o3Bq1tnoVXyF3T5qkKeQ989KtkZPdp2iUs9ghntY544EwF3sOWShnqpTjXicEgT0ZStXiOsdx8fIHtvFLxN+8j8OU0Zwnz0ifj1yUsRr46o9eZWsM+omEIJSp9AddOdATW2TIZIjWrTEji8OphwJ79wUG9vbAoBgZ2rxNwG9/ALe9rG+nCKmceR5zFksEZEPOfB3K0yfa6t2TyEcq5nYZNtMMLFsjBdJVOUulWyNtJkLyO14gHZUzmnsm70ulWyNNKv10IYuptInarTG2i/P2fQZfnJzZHEi88DzPbJeAG6FX7MzHK3E3lmRRY6pca8ttcBwHnhcRBYcAROrkCSPuG+aJPQDiCUHs3BoFAXHlzNM6ZxzQLi/sWcScyS59EdVimlf2xJ5DLVaLVvptng012ol+KmyBZE6YpvZaiua4fj+nJOCgINQVfYrwp7uHemqTbI9AmUrf5+fwwd08BEH0xA1dztZoVRRbijmLzT88Vs58MW+FgE0CjkCHMjexGo/JQlok4pEhChA6BM/dOt0EU84o0BluhOmWEMSKDKW7cuY1nNyzdCFDqbSH1q1RRtqQM0EeZ56aA19sicwu3S85BAUvXcBoY860K+geujXGE5RYJQTR2OrL8O5FTOsCJhd8zn90Anof38sze+SYM1vljPjbSy8fnldI4JbXt5oeJ8QUGi8XGwCpbzb6JL+ycK25gmnUJF5ZJvpolTPCAq8qz0O6Zx28vdqZMnkRiKuLTpK4eIl4Ag67+n1yQhDZzc+r+xYjZ36LVSvJrTE1MWeyMpdh8673h4n9KYp9Xfibl74C7oORMwqkW7xQZyQEcaKceUka0y1BCZB+GTbTjZw5dWv0GpmZmRBjbwTLVPGxXb4UuTXavqSI9vFUOSMSXlgWodbu89CtMU5GHdQ583KVmIzLs45bjB2f47E7kaycCXYLaYRy5rFr7OC2JgDA1je3mR6nKGfKvTrxIA/s4YGm2CqIVWKWVCpnMjmzy9ZIIlDgnbMTGScYtYgTVH3H434dV6qslLzY+BNT8C6L3zM75Uxe2PMwcySAeEKQgBU5iwIZohxz5u398udK/TNoR84I5Wzvm/fyzB6eU/r0qnW7Fzljbo0U6IyYs3Rxa0w35Swdi1CnG6F2UucsXRYcUmlTcXExRowaAayFZYZEOQbMc7fG2As/J2ITk0QqZ14nBKEqRqv57KFyRuPWqCWLXk5kaTNaxl1jPVQ8AGllPsxxCIgixLAILmh8PVXMmcfKGQ3kSXeU43DyVOCEAzn8xQNyxoFQziwSs6TUrdFP59ZImhT8//bOPEyOstr/n+ru2ddksk8CCYQ1rFKAgKAim3KBiwKCIAhewCWCS4CLiIDbVeQqivtPgYuICAIqooAgu2wFhshqIASSyb7PvnTX749aunqp6go99VZN5nyeh2d6uirUmaq3qt7znnO+p6M2ImPsiawz/+j3t8kb4Y8qddjBDOGcuc8EBckyjiBIpd50mirnzP7/e52z4qbvBZGziJtQO5G5SpGzGrvmTDt0Kk1zGqOzJw0D9gu8QUuOwncYJHIWgqRNZJOW1qiy5uydSOmrUmtMikOdtMhZ0tQaW1pa2G2epcAYamId8VvfeYHP7dnCSHdAdNEbOYtaECSEpHZx0+eorltBc9yt6HPWtFNTJPZAUV1eiMhH1HdZWMGLnKkuchYGJz1sBI2JrfDxozWaG0ffLityVjmt0TumP7Pju0fdjgJCyrJ7qZkQjTIiOI3D7XfHYMCz2mNuOmrnLExvOueDAufMbfpc4ZqlTDXOmSNQkvG8Gzb1FO6TzUGt7bylIhYEydiR1NpsNnDOmBm23nNaxPbUpPMLDvUVe9UkC3HOQhBHSloYcYmkpDUmMXKmkqQ51ElzzpKm1gj5XjhhZNCjjpyZffnz0vd2v/+Ontss6siZmzaZgCbU3shZkMSg91reM2FmQQPYUbdJ86g1hmjYm4o6+hq2j5eZv0xJiJy5ao2a5uhjRIKmedIaA1QznTGdA96qb3H/bRQ4KXI9z2wMlGYviJxNjM45KxBxCVlzFrXARL7pc8BgdQaygvdG2CbUjpR8lA2xATYOWQ+W+lz+wTjxWJNLfpq3L5vNN6GOWko/ndEY1FKkCI6+ppxnVG209jQ15NMa6yVytu0Rh3R9UibWYzVyNp7TGpPmnNXUWBOKRDlnqcrOmfMsj7KpKUD91Lr8LyEXHaKsOStoRrsVzV+jrDkbcaJCASpgzsS6N5XhJzOi7U1XIDseouYs8rRGzSM7HjCRzeXyDuNIlGqNKehOV04rzac1pmisq7BzNfZo0Gd3ex/pCUhrdOqXPIM5srPk8UaX39Llb5Pnc017hJGzFPnIWZC8ucegVMSTaycEG6Y3nYrlWjdyViFavvemdUD0bVi22JVJjdmRgnfH1b+FtZtM/vS4yYPPQ73T5yxqKf0UDNgrUSOBKoz2uz7i52JTvaXWCPno4VhBnLMQJFVKX2Vao0jp+5O09gdJk9J3nLOhoaHA/VTahP2OCp5Y2/dZxOa079/mfg5asfbaGmVaYyadj8wFphMpjJyF6VVjFv2MkrA1Z5o7CYnWnnQ6L0cfVA9jkn/pR3me0im4art9AWjcwb+mxPSoNbY2RessOpPGbE/AIpq9KecxJbqas/z/eHBd8LPRIUoBjnTa2zg83EQ2FbHARC6MaIozF1CR1uioNVaInM3t3QLA0KqBSO0ZyKUY0lJkMF3RD4cPf8XkhC+bnHu1Sa0tKRt1WmNK89xnvQGLsYoWPpvq82mNdZF2dhx9xDkLwXhuQh1GHVGk9JPV/iBpkbPaWquIPUnOWbi0RpuIvbNMWuPFxnaAwPSmgibUEZ6jTNrj/AU5rwprzkbcqFBAenXWUW2LxIwCUiGjiw5RD2krclY5rTGXyzuMI7kInSENttg1XkGTZmc+mUWjNboSQTSg34mcBUwanWtpKpjpm57nSibA6fLaEqXanlcQJBvQm07zpjVGHDnLS+lXjpirSGt06gQr1Zw5dBw1JUprGB6xMgXAjp55eHxR/rMqQZCCRZCgyJmT9hnxJWtuzC84SORsGySpE+vxKAiS5MhZUhzqpDpnw8PBaoTxOGcB+6iqF/KsWAdNilRJ6VuRM/uQld+veaJMa3RW9INqc9x6IY1MxNfMm0YYmOLkLOpH3Y7B00A48ByZebXGKKcq3rrFYMXPvEPdGp1oG6kU9DnpVkGRszIpclGrNUKFiJjn+FGqI3rTGnNBaY2egRO5IEhq65yhqHGaPlOhz5lT39iut0dqz3AW+uxjNeb8Fx1qFUnpF6Q1BtxnqtK9C9Iat0JELgmIcxaCOCbWSREECZPWWLxNRZ+zrVFrXLbMvwnqaJC0tMakSeknMa0xTM2Z+wKJWu1Tg+FQhfj5j1EKgmTS4aJCxQuRYVOhthbL8aic1uiV0l/9x+idITetMUw7hoiHdDqVj5wF1pyZ+chZlNGhAsXPEGMoF3XkTIN+exKbDVVzVvhvo7LJIXDSrKjGK5XKC4IENqH2GBS1IEioJtTONVMxmw0ZOXMubSriZlVDw/lFh6as/7h2pPajjnQWpDWGiZxFfM2stEbLnow4Z9seSUtrVDqJfQdNqJMQOZO0xuSMoUSmNTqXISBtz4kwRK3W6HU+Apu/esZ8lDLombQn6rEVgiADqwYjsScVMq3RLT3RYGJr9A51GOfDnaQp0E1wRFPMoBQw0y23jDxy5i4gBI2hbN4ZaovQOfNOGoNW9E235swjCBLR86jOcwWCBSby27Sa6MZ12vMcygU8hzSPqS27t0RmD5AXBAlaRHNPo4JU1IyTOlxBrdF930dr0/AI9Nrpw0GRM/eaRf0cSuX7igU6Z87DOuLz0+xRa8wEiEklEWlCHQIRBBl7NWcqkbTGYBKd1hhCECTq1AtN0xh2Jo4B8sMFkbMIbfIKgmxN5GzmqTMisccrEx8mrdFUcY+lwknpK4u+etIIc0HRRe94j3IRTfP0XQucWFvbcppGS4RpjZrmSWvsHSlp1OuaU0atMSrWtDXnjxsw2fc6Q6maqCNn9rsjhJS+2ZRhp4t2jMweyPfxChM5UyEI4oq4VFBrdKLTIQRLq2JoJJ/OXBMQwtcUqSNqeBZBAmo73YXPiKewdbXwh47teKh9Ok8cF+EDJgLEOQtB0iJnSUtrLHbcHOcgCsIIlHj3U0HSnCFRawxBmJoz+6eCNRA3rTHQOVPU5yx8WmPhtvoZ9ZHYU1BzFpSy54nCRM1WC4JErdZY0OcsaAypqd0JHTlz69806mujtifFiKaRyZnkBnNlUwldBz86U/I2pTXumTCTYzcuD0yT8wpwRB05GwoROXNOzuDpO5NujDatwAwhpe+i4r2Ryo9pM2f6OjuO8xG1lP7wSD6dOR0wJ0orcs7CCoI4746oz4+maVy8oJn+QZiwnbo54WgQyjnTdf07wMHAUuAcwzCGi7b/N3CSYRj6qFuYAJLWhDqOtMatiZxF6ZwlsQn11jiwktboT+LUGt3IWeTmMOI4Z0GCIJ4pY5TRobCRs0jz4jykUjDsTNIqiF2AmshZeEEQ576P2J6C1E9/ezpfWBGtIY49nshZGAffhEhFXNw5dSpFJpu1nKEyawlmkeJnlEOpINoZMIa8JkQZOUunPGqNgRF8NXWUllFOjVeISJ4Cc1JpjWFNo8Y0yQ2bpOvKn4QUapyPoeH8fZ8JmBO50VcFQkmOKmq2N8g5s/eP+PwAXHjy2HLKHCre6bqu7w10GoZxKPAqcFLR9hZgz2jMSwZJbUKdlLTGOCJnktZYnT3jPq0xTBNqZ/Uz6kZnwEg6RM2Zd8hH+FILGznLqYrCaJ5amKCaM5VRD2/kLKhu0fmppAl15dTPOc8vj9QO1x5v2meQ85rNpzVG6Zw5j5RKtYtegRLvv4sCb4uIIOejQLo+wshZyqvWGCil7/yDyExxyWYqCyW52XwK7CmIUAfcZynn3aEgrdFZBEknIK2xIDU2wDlzBUEkd8+XMMP5YOB++/O9wCFF2y8EfjSaRiWNOFLSkjLRfydqjY5aYJT2JCly5r1mvb29ZW1L2hga72mNrrR5oHPmvGEjN8eNnAWvWHs+R+ycOXUMAysDRD4U3YJWg2X7OTQYIgqjOHIWPIbsnwrSGodDRPIGGiPMHfRQIJgSNKQ9DrWqyBn41+Xlyqg1RmZTSIVNb82ZFnHkLK/WWDmtUUXobDgTQtrfPT8q5kMeB98nfdg0TdcZSmWivfGHR/LPxkzAqHWsiPo5VCC8EyJyllYQORurhLlUE4At9ufNwERng67rbcCehmE8GYFtiWE8C4K8E7XGJETO4qg5W7JkCc3NzXzkIx8p2UfSGpPmnNnHDBH9UZF6kbUjZyMhCvEh2r5ZmTS80GQ95tc9vM53P1XBa6vmLDjiAZALmL+NNuFrzuz7PuIh5J3oB9UvKXPOvH3OQqQ1KoucOYt7fhNrewyZCiJnBamfQYIgXun6yCNntrOYkLTGbI01KMwAZ9F9hquKnBHc1iObNfOmRHyO2pry91lQ5CzlLjRGHzlzo8GBjcPVlQyMVcKEODYBrfbnNmCDZ9vngeuC/rGu6+cB5wHMnz+fI488cquNjJu+vj4ANm3aRFdXV6THGhy0Vqqz2azvsdavXw9Af39/5PY4ohLDw8O+x1q5cmXB7729vZHZtW6dNVkcGhoKPEaxGEaU58m5ZjfeeCMAd911V8nxenp6ANi4cWPk1yzMOdqwwbqNVYyhgYEB95hBx9q8eTMA3d3dkdvU3Wtdjy2btvgfy36BbNy8ga6uzZHa49RUbVnv/7cPD+fH9FAmFdk5Wr8+w6raBgAGNg34Hqe3uxev/lVU9qxZl2JEs5zF7MCI73HWrLHOjxmhLQ5mbpJbl7d29ToGugZ8drR+rN+wnq6uLeX3GQV6e1totu1Zt3odI13lU4g3NRS+8qN7TmfIaR2AFWHwO073Wus+NNFYt26V2yx3tFmzJg1McSeOK5etpE6rK9lv1SrLCXBrzjAjO0fZkYmuPZs3+D+HvGmNG7Ib6OnqicSezZvq3Z5Q/Vv83wvZEesc9fRH9553GKDNOmaf//yjp6ePCcBIwJxptBgeyl+zFctXUDtSutgxbC+O5IAVK6Kt8fz5hRmevMCETRVqzuyf6zesZ6grmpYnACPZfAr6lo3+7zLTlrXvUzCGkkxnZ6fvtjDO2T+ALwI3AUcDT3i2zQUO0nUdYCdd1y8zDOOb3n9sGMYvgF/YvyYnF20rqKuzHuIdHR2BJ3M0cJyKXC7ne6z29nYAmpqaIrenvt6qmk6lUr7HKq4lmjhxYmR2rV27FrCiQ0HHKI7eRXmempstSWRvxKf4eA0N1mRXxRgKssNB5Rjq6LAmaXV1dYHHammxeua0tbVFblN/+wCrWUNzY4vvsTTeAGBSRwednRE2YQJymaUANGQafO2pSa93Pz+2785c0dkQiS3dIyZZzXJGM6mMrz2NjYUv1ciuWa3JsGY7plnN9zh9K3rZiJXWGPX4qa3NuZOQCS0TmNo5pex+zhiaPHUSnZ3NZfcZDdrbcgzY9rS3tNPZWb6tQareciLvb7e2R/ac7jPJOUWSWZgxY0bZiPjaietYwlJywKzOaUzriGZlf0gzAdONLk6eMIWWMtdjeGM/63jFU3MW3Viqr8+59jTXN/s/h8zXAZh6wVzm7DcnElsAJk8yGXLue9P/vs+krMW/lhZ/m0eLVJN93w+YvsdqarAcoHTG3+bRorExf82mTJxKU2epPPtAX5aXeQmT6J9DnZ3QecQG3vplsFqjEzmbPGUSHZ0dkdmTy5lktbcBaKxrDHi3vgZAW1v0Y2isUjGoaBjGQmC1ruuPAfOAO3Rd/7m97eOGYRxjGMYxwOJix2xbIWlS+nGkNSZFECRszZnKmrQw0vVOGqbKtMakSOknMa3RbW6agCbUkE9rzAapNdrn57ude5BrL131Hy0y6XDKf2FSQkeDgrTGEH3OVJDSPClgIcQTIk9r1DxNqAOumRsNzkQ3fsBK/zI1La9h43OK8uqI0aY1Oo/drHPf+6TH5ty0RgtlgiCBaY0WE46fHp0x2GmNYWpfbaIWlwBLSj+LBlnTP6XZ7T4fuTm2OFGwcqzTCzqnwB7It1fobA9Ia0TNg0jTPIIpge8O2xypOfMllHKDYRgXFX11fpl9tkkZfYjHOQNrQl9uMh+HIEhSpPTD1pypVHPcGod6PAqCJFKt0RmigQ6GswiiQq3RrjUNqjmzMYHGCOfWmbSnXihwoh+dDV5SKW9tjn9/obwgiBqbnN50Qc6ZQ/QqaVpelj1Idtyt8YrUHNcZMjUNTBMza5avk/SoI6oQBKnUzNzrLALURqgmVyClH6LPWZR1puD0OXOaUPu/OzSFC5+ptMZAKk1TboRsX5ZUW5nFTYUCJV61Rr/2B46oTE6Ftwik7MbYx+wHP1tYfh9VqrGa5nkOBSykaW6fs0jNGdNIOV4IVEaqvMfxczDi6HP2pz/9yXefYsdNhVrjSy+95KY4hrEpShxnKMj5GM+CII5ao1OblwSb1my2jvHi6/Er7QHkMk7krLL8sKlpNETsnIWTrlcUOUsBmka/ExHuLh8Rdh6XpgrVNs1zjoImIc5PlU2oQzjUUU8cnTlgpX55riAIUBOxIwSVI8LOM8jZOnNydDYViEsEOWfOTwU9qsJEg92To0iAw1WQ9FH/M1VGzrwOtV/kLKtukQjyCp41AatlKdfBj96eXMo5P5WzrSRy5o84ZyFQGamCypNr1c4i5MUayhFH5Azgl7/8ZWibomRr0hrHY+TMqVtMknN2x2PWz/ufDpoUqYucOWmN/d05lq+pkLILXP3paNUasyFS5FStf9inhu6M5eQPbyy/COLao2iSFm4iq0bZrlDiu3IUJofG9+ZHq/wHHufMzybHoY44rdEZQ5UcarPIwZ9ZvpRwVPC2Y/CTZYf8NUtFPIjS6bwjFEa6XkVao9XU2F783OLzflWoZGC1rHAUP/3UGq2fKhaJIK/gGSSl71qi4N3qtKvIBkbwrR9O1E8oRZyzECithaGynL7Kif4FF1wABE+s45DSh3y6XBibosRxkpNS45U058wRQ+nv7w/cT6VNfcO2/HDQmz2GyNmz/8ox6ySTbLlIgx1l+K/jNHaYEa1zlk/dCVfjtc8v94rMHmcO2Ju2++Vt8HHOilLSosQ7SQusObN/Rr1C7G1CHdQc1xlDJ39A4wunROicFUfOfKKszjXLEW2fM+eVNFJhYu02obbt75wUnU0FsuOJiZw5aY0hpP0VLYJ01VpiTN0vd5fdJ9+EWkWZR+XImTO2VDyHALRMiD5nzrtVxbssXTmt0Vm0inCqOOYR5ywEqp2zSjVMSYt6xNGEGvK2hbEpSrbGGVIR7XTOf1Kcs8ZGS9HKaUmRBJsGRqxjpAKceHfFWoUgiP2CrbFnGsPl/HxnThTx6fEKgoQRl1iyVyczToxOrCBVHDnbVN45U3jL2xPr8IIgatIaK9cvqYp6lETOfNIac7akdk7TiPLR6EbOCJmSZu/X0Vp2t1GzqVINHHhqziK+Zmn7vjexHAzfhRk3rVHNIsjrDdZF6H6pvHOmWhCk0jVzXruqHkdO5CwV8ABUJQgCnsbqIyYbtph88yaTrrVF979EzioizlkIkhY5UznRd6IeSYycBTlnSas5G89pjWEjZw4qbOq3L1UqRCqIivSdnD17rLXHSdlAg6LC94LIWZA6oqJJmvO/73YjZ+VVP916IUWTNEfZLnCFGDUr1gXOYkA6kVOIryIKA/kJaqUUME3TIr3vtz6t0aKtOdrUz960tZA24peyR36SFvUiUdqu7Ry2T5afOJGmMAqTSsGmjC0otcnnHClclEl7F678BEEURvAhr9aoBTR7z0dfVbzL8gsg519j8pVfmhz1pSLbJHJWEXHOQhCXIIjf5FrlRP+dRM6idM68OP3nyhFH5GzLFv8ms3GlNfo5qUl0zlQ61P2eyNmSFeWPqzJy5qQ1Ok14s+WGr6JJUYFaY0D9kpuqFnVUyD7/vangiaypsNYj5UlrDE4Bs/ePul7ImyIXIq0xcoc6ZORsZETRGHIEQSrUUuYFQaz9WkvbWI2qTc6Cg180GNSpNbqKlukK49qN4KupOXPu++EtlWpN1dgTWvEzcmssnLRGrexLw95HZVqjffNv3Gjy+4et715eWryTCIJUQpyzEIxnQZAwzplKtcbe3l73czabpaenp2zEKo6asyBU96ar1HIgiWmNzhhTEzmznTNg/vf9nDP7p4rImaO4ZXsY5W59VUXdhX3OwtScqZk0DtrhnlV/XF3eHpWCIB5lu6CJtZtNFHWkKhVOPdKZFEWe1mj/710n36fmLOucOgViFwDDVJpYWz+dmrPWCHvPpzzO2VCQc+b8VLQIko+c+WReKJzop8NEFxWmNRb2pguOBucUzRedtMaWuoCaM4VpjY5a47+XVk6vTktaoy/inIUgrpqzJAiCOM7ZwMCA7z4q0xq9ohsbNmygpaWFXXbZpaJNUVLu7/3+979f8HtSHfwkRc5+8IMfAMFjbbRYcFo+cra5N3hfFQFz04mc5SpHziJPb0pban45gJx/1EPVpMg5/wP2bHD94xvo+XdPqTk5dSvW3knasv9b7ut8aKrSGj3OYmAkzzEz6iiMEzmjwkRWUeTMmZM6DYT90xqLImcROmfpFPSkgxVIwRPBV+RQOzf05oXlM0G0kg/RkUp5Imebg9UaVaQRFqQP+zahjidylsqZbLm39BzstWP+9lKy0Gjf/BnTb/5qerJSxDnzQ5yzEMRVc5aEiXUY50xlWuN+++3nfl64cCEAb775pq9Nhx12GD/+8Y8jswfK/71f/OIXC34fz2PIiZytXbuWm2++me5un8Jum1deeSVym9rsZqZpTF/nS1UhPoBpS9XVBKY1OoZFa4umaWQyIZoa21+rcDwABjyFUv1dpc8jpelNKZgynLch6yM9riytMe2pgQsh7R/1gkNJ5Mw3yqBmRT/tOvjBzd6La86iTGtMadBjR4WGNw3H7uA7aplt/VYGw/NnLSy/o8L7zIqcWQ7siG9ao9rIWYd93790Ufn3lDuGFEfOzBGTpjJl+Hd+Q6O5Tr1aY8ZngTyb8zge4oH4IqcmBKprzpIkCJK0tMZUKuXK+4eRrr/rrrv4zGc+E5k9AC+//HLFfeIaQ0lwzpzIWU9PDx//+Mc59dRTA/cPai4+WtQ2WH93TS7nOy90J9Yqas5qi2rOyl02hbUedbWVmxqrmoQ4t8ygZ2ZRrv7GrTlTlNa4tiY/E/J1iBSpNVpNsdPBtoDymrPhCqIpqtMaB7Gfiz7OtBs5s81pa47WpqyWIjuhDnLQ+0b5tO+Umxob7TkK2wRctSBIxbRGxVL6e/ZtsuzpLm+PakGQVL0dMe/PlkRX95gDO3Zq+WbqCs7R+t7gyFk26xlDis7RWGTcO2c33HADhx9+ODfddJPvPqpT0kQQJBinv1lS1BEfeOCBivuoHkNOfZef4xhH5MzhL3/5i689oMg5a8xL1/udApWRM0etMThypiYFDKA2421qXKFuMWJ7rBrKfA8m8HHOlNaZwr0TOt3fs/0+ynZO1ENBzVmYpthuHWXEtR6uQ22vbGT7yr/LVKU1OmNoIJWfyJbD7XNmL83M6IjOJjfVcsc2ADY/v7nsfs4Yinpdr7Ym3H4qa3ELBUGS0YT66pl7BO6Td85UWASZFtt5LeMs3ve/TghbnUPtvDckclYd4/7ULF26lIceeoglS5b47qM6Jc2JPPlFhpLW50xlzRnknbOhofKS2l6bVESqLr300or7qB5DDieccELZ71XaU1NTU3FMeB3tqCOdALUN+dW9SpEzFeKjWsaq8aoxTVKmWdY5Uzkpqq2BESpFztQpcKRShW0Pnj7+2RJJfZXpRCkNhlNpzGlWVDg36JPW6PgeCtL2nLTGVXevZvlvu8rvmFMzSXPSCN06OB/n1ZXSV9Qzy3UWfewprlucFqVzZp+j7ATrHTu0sfz7zBUEiTpyZj/nemoqeGmK0wgHUmnMFGR7s2UXilSmNaY0eLY535m8+9XS2tecPW1ToRoLUNNSPrJ44UkwY5IjyGN9p+I+czIu0n6Rs5x30UoiZ36Me+csTBRG9cS6xn44+tkUR1rjwMCA78q0yibUUPn8eG1Scc2+9KUvVdxHdVqjw6pVq8p+r3JMa5pGa2twN1evo33++edHbRJ1TflIVeWas8jNIZ3RXLW9GjNX1jlz5yAKHkO1GSrXnDmPAxXpTVppT7q3r19WaI5PzU4k9jh/c22wCIcqpT0rrTF/kEXzXywrPa4qGuwqbKaC0whVRc7AWmRxFD8rRc6ciXVNhBFGx4HN1to29VZw8CNeJHLSGn+8114AtMxrZnDtYEnEKj+m1SzKmJqGZl+XNX8tk1WhsgYuDf2p/PzmsUOeKNknZz+HVKk1ZlrLR8680zUzp84Zcp5DtT7O2UjWEuICNWNorCLOWcKiMF6b/JwPlY5HJpOhpqaGXC7nGz2LK3L22GOP+e4TR3QxCNVpjZVQveAQ1jmbMGGCmpoqN63R5N/LYOW6ABliBS+0tEcKvcbMsb5MhpOmcIW4rsarShZcc6ZKGCBVvDhUdFiVkTNnYm3a4YY3vu+XeWG/OxQoWg4XeYD9y8qIODkr6IrUGsM7Z2qinYMV0xrzKWkXnxa9PQC52uDUz7wgiJqasy0pa/Gz+9VeHtz1YR7a65HCHdUFzEsWzp7/xMLSndx3mQJ7tMrPFzdypjitcbjIORvy/urW5UVvj5OG2pwdKfQQbazImTp7xirj/tQ4UZgg50z1xLqSw6i6Z5YzsfZrshxXzVmQ6p/qc1SJuNIaAe69996S71Tb09bWFrjdcfydaxs1TlpjjZlj2RqY8eHSl4jSyJknLa0ml+OA8/2dRVVpjd2OktwGn2ejyklRqvRllWkujNA78wAlgiBFkbOVd65i0z9LPWpXVEZhWqND/1ulrSuUR860YMcjF1NaY843rdH6WV+n8Z1PR3vjO69Jxzlbct3SUntM0yODHqk5rnPWZ9qG2XVKI90jhQuwCqMe6TB/s7soE6kpQLi6P7eRecyRs17P2ozTDkXF+34klWJAS5HGpCFXet9ns/ksCImc+TPunbMkpzX6OWeqncVKzplKtUbInx8vxQ5iEiJVX/va19i82ZqwxZXWCPn+YV7ijpytXbuWq666iuXLlwP5sa7KOUvXBStKgfr0naEK6SAqaz1qa2Bjpg6AwdU+i0QqVdI0eKZlUsF3xWmMStMa7T/ZrMnfzyPl+jA5l0yhIIjDwOoymQ7Ofa/AHvAKcPjUn4woXABJV47kFas1RokzhkZs58zMmvyl4z56XvPUMdnjJ0f0Dr7jnPWapYMj25M/X0rVGsP8yYql/QFWHTc3f/ii+Y/qPmfpxrRVs9yfY5NHVKbHI/7pvu8V1Xg5/fuas/l59YtLbGc/m0/VVVSWNyYR52wr0hpVR84q1ZypjnokLXLmpVjZMk5nyOGKK65w69HidBZff/31ku/ids7OPPNMrrzySo499lggf//V1dUpsSdVW6iOWA7nBaJCEGTl+rwUeq1ZfuLovO2jnqSBVXO2MWPdZ4NrfMSAVBbip2BZXTP1c/LKn6985bUCUZCcwjRL57HiXR0vp4CYUtiEujit0SwjX68pqj0pjpy9tOBl1v59Xcl+7sK6qsiZI1DiE8mLIzU2V1P4gHn0Pfk6Jm9T7KhNcszoK+OcDZVpkq0qYg5w66Q57nclizKKBUEA1hyxg3sPFffwc8e0onerpmlMPGQiAP848im3D5s3cqYyrRE8zlkuv2C15yes81QgCCKRM1/GvXNWHKVavnw5Bx10EH/4wx/cfeJyzpKQ1ghbHzmLwzkrVrZMQuQM4LnnngPUj6HLL7+87PemafLRj36USy65RKk9xc7Z3//+dwAWLVoEqE9rTNmRs7aRYaYMWelfxeNY5QtkeASG7ePU5HLMHuimf1lhWprKFevaGthQYznK6x7dUHYfVwFMkWobgFZb+Mcv/rZn4UGhhLU7JAbyk3y/aAxAWkFao1eoAMr3FlOl+Om8mhqy+efysyc/V7Kf0siZrfwHsOjFEf7xL7Pkno9DVKbkkLnSzzktet/DjZyNlF6MJde96X5u6bMXaxQ6sL+eOpcee3wPrS+aFykWBAFbDt7uL1bc0NxULAgCMPGgdvfzdoO9gE9aoyJnyGmu7o2cOXil9MU582fcO2fFUaovfOELPPXUU5x44onuPs5EX5Uz5DiMK1euLKuQON7TGidNmlTy3Zo1a8hms6xbtw7TNBMROfMeX/UY2nXXXUtsAFiyZAm33XabG2lUNYamTZtW8HtxVFh1WmPKTkdryo1ww+LHOWpjF31rC1/6zllT0YTaNPN9vDpGBvnxG0/x0D6PFu1UZFiE1NXAM81W59JVPs6ZSvlIZwiPFK3gexv35p9C6uzBI+1dLhqjTK0xBRtrCqPOfT3lnDN7khZ1nzP7f78xHXw/ZxVOGtMp2GLbk+4Z5stnrOCBnR9i03Ob3H3iiJzRX5oOu+ru1fR3DRQopUYeObNf20PZFA+1FT6v375+GYsufJFXrniN9h570UhFWqPnGOvt8f3mj5cW7uREgxUuyuTM/AJf8SKIEzlTJQgCUNOaL/Xot19YBc6Z23w+eltOeb83rbFwbG/sNunt94g7jXsPxJ9xf2qKo1QbNpROROKKnH384x9n/vz5sdvjOGdO/VQxqtMaDzzwwJLvZs+eTSaTYfLkyfzXf/1XYiJnjmMUV90iFF6P4gijKnsuvvjigt+LHXrlaY11hY++C1e8zLMnPOv+7rVPRRphzszXDHUO9pXdx416KLhmtRlYXmenEG4c4u97PsKWF4sWZxSmyjiXoO39hQsztZPyk39TYeTM7eN14FT3u3JS6K4zFLVao/3/Xzmpxf1uuIy8v6aoz5kzqf79pNmB+zlZTypqYVIp2Jyxnott2SEuXv4iwxuGWXThS3l7VEZf7XPUN6OlZNvzn1jIQ3s9wvNnLrTsUpHW6FlTvWbmnhy7+xEMTMqnES+/uYs3f7TU/V3FNfMewamBXXLdUlbcsTJ/vyusX3JFXHL51PjiNhrOGFKV1giFiy1Oqn5bk9coez8F1+zWKzXfyNnEY032OtuUtMYQjHvnrLhnVrlUwricM4Cf/OQn3H333WXtURWFmTJlClC5Z5bD7NmzI7Vn2rRpTJw40Xf79ddfnxjnzHGM4mrHAIXnoNiRVnV+pk6dGrhdeVpjbel16Pt3Lxv+YS/O5PI/VFyybBZ67RdaS5lUEAu1aY2DnpDhwIoBHn/vk4XWuJE8dZGqGZfswtwFO7jfj/TkFxuGnl0PQP1wGWGOiOzp++BsJh1udSoe6Sute3XVGkPJzr1znEnjkOc4/3w5x6buolRd5zkU8STNeaz0pArFmwbXDrLmb2vd52Euq25Mp1PQl8owrGmFKnKlQoTKGpkD9G7f7rvPuoetMZ3VonfONE0jky74gpdTzf77Z03fbaPFbtvn/+gNmfzC3cLzFrHw01ZKfF5cQsU1s46RzZkMUj5ypnKRyGHGR6a7n6/7jMlR+8MvL84b4PY5U9TX1Lnvy6U1gietUUFWylhl3DtnxZGzJDhnxWqExx9/PM8+m1/VV+14zJw5E8BV1iumeMLf0dERuU1XXXVVqP2SltYYxxjynoO4nLNK10F1WqNWW/7vfuo46z5z5ZAVrFiDFTnbZAtwTBzJC3AUSljbP1VEzmogW2bG3LO412OPunQit+asMcPOl+7EQX89AIA19651RUEGb1kKwPRN/i02Rgs3vUnTaNndinwUpzXmvP18FEXO/rHLLPe7J1/I8dEriybQilJjNU0rK6Tz4K4PY5z6PCvvshb6soql9NE0NhelWva82sOgrWxpKnA4XHuc+qUs1HaUKhB7WVHbqETYrqaoIqF3IOCoG32EgkaRI/fPf3ZaezisvGMVq/+6hqbFlgOrJHJm3zcr1sFbG+13+2CxUrT1U5WUPkBNew1TjrbS0HedbnLf/6aYO7PUOVMnCOLpdVYGt2enRM58EedsK5yzOKIeDgcccAB9fX0F9qiaWM+aZb3wly1bVna7dwLpdSKjJKj1gRdV5+jPf/5z2e/T6TQvvvgiTz/9tFJ7vM7Ziy++yEEHHcTee+/Ngw8+WLCfysjik08+6btNeVpjpsK97CnEV/H+yObyztmk4XyxQEEDaFfMIXp76nzmit7URtVS+pCf+GQ8NRYP7PQQL1/6SuQ2FNjjiDnkLClrKHXOTDMvKhP1xNGZ6P97UoerbJcxTXb9w0sYpz+ff2coipwBtNtBlznX7FGybd1D1oTajZwpWEF3ztHamvqSbc9+1BYrUan4aR/i8l9ZdThBLK1vVrIIUuycBbmq2vTGgK2jQ63HnmdaJpdsf+6Mf9KyeKNtUOTmuPd917q8OmrPaz08d8Y/2bzQKvtwpfQVZ+341cBZX1o/1AmChIycxZzZlGTGvXPmTGJ7eqzeIuWcs7iaUBfz/e9/H4gvrXHt2rVltzvn54gjjkDXdSU2hXXOVDFv3ryy32uaxgc+8AH3d9WiMg5PPfUUixYt4sILLyyxTxXvfve72W233cpuUx05A5h68oyy35umWaDapiRyloONacsxnepxzkY258e5UrVGH02fhZf9m2W/Xs4L8/+FlnWei9Hb49w29iGpaS00cOkv3o7eCK89Wt6e2nbrXnv9u2/QdfsK1ty/ls0vbGHhJxdSo0g0xbFnYCjvfNSYOY7etII1965lcJUV5XDrFhU4ZxPtUqqh7VtLtjkTSEeGXEVdp3OIrtpSp2LLv6xoa76BcOTmFDRY7qsQhFqfqVNyn23prbwPwJK6ZjK7lF7X0abW8xpb2NzBfe3ln9mAUvXIoeG8c/bCZ//F6r+u4YkjnwLU9srz4jhn2YEsvW/2FTSlNhW10HBwnLNWH+fMXbQa9x6IP9HK6o0BnMngs88+y89+9rNEpDUW9+xycGq+VDuLDQ0NQL4uqJg4lBHjTlcsxk+hMpVKsWbNGvf3uFJj/VC9clVOfRTU15wBNM9pYHWZ7587/Z/s+6u9AasQX8Viozetccpwfhn9wd0e5phVR1rqkm4QJnqDilfQXVYP8K/PWwIK7Y5YgMIog+MzZ1rjfXV5I2f1M/ORmBc+9a+y+6sS4Fj0Zi1TnGbmnhRmxxlyBEFURM462mDxcvjGrRpnF21znDKn9EtF5GzInqsur2squz03nMOvxWAUWA6pPbeosG9PukalvkRFnmydwj4K7CleJHqofTpHb1pRfmeF6pFDI3nnLNfvKVCG/BiKKXK26LMvAlDfWc/hi95bYJsqZ8gRk5oz0M1RG5ezOV3L061T3O2qWnqMZZI1w40B72TwkksuKWjYa5om//jHP1wJeVUT2SeeeKLs9060SLUz5KSaDQ4O0tfXx+OPP15QuxSH+MYnP/lJZccKg6ZpfPSjH+XEE0/k6quvdr9/5JFHSvZTQdh2Bklwzp5//nm6uroAtc5Z2meCuua+tfkaFNS8Y7PZvHNWU3SOnH5nKlcbw+hX1PRaC1lKxBw8KmkA6aZ4K8ndBsImNMxqqPwPIh5DXg2UYXvANuXyq9YjPXbrDIXR1w47sPLQv0oPtvIPqxjePJyX0lfgLPbba4tPl0mPA3jxSy8z8oYVQeutj/451FnaEcaXnnQmlhQwv7TGv06YqeS5WFd0GZyITFw4vsTQMAz6zL9UKn56SRcpEA905TMwVPc5e7OuhUEtxayhPi5c8QpfXfYCaTM/Z0wpFLcaq4z7U+OdDBb38brttts45JBDeO211wB1zlBvb/ncAsc5U+0MeZ2zk08+mUMPPZSf/vSn7nbVkUWACRMmKDtWWG699VbuvPNOFixY4LuPX+QoLpKQ873ffvu550xVzRkQOGF+eL/HAKg3c0rUGnMmbMyUnxC+/N+vWh8c30zBRDZMN4yM058phshZ3OPWWwPXOLty7U3U9hY4Z/aAbfQU47spTqY6Z8hxzoZ8ZmBv37jMjTKoSGscsJNiVpRJawRY/psu+v+ftTi7sTn6eqoDd89/7ksFL6b1xuyUALTubV3QvtoaNtbUKREoKY6c9QSdJ1WiMliRsxGfca2yV56X4vYwQEHPV0BJXR7ASCpVsgjy69ceJePMXZ0vJXLmy7h3zoJql4ol7FVNCLq7y6uNXX/99Zx22mlcc801Su1xJsyvvfYaf/nLXwD43e9+525X3WA56WiaximnnFJ2m1/d3mgT1glUPcmtNEZURs7CvhhUnKGcRxCkmLUPrgOgfsB6VmmN0UeNtkr5XaGUftdauPTnOR56Pt5FjpQnclZc/1aWiE/RMZ7Wj86kcc++Tfnvuke442GTfjtjNuOjVjqaOMGnYZ9J7NoH12EO2hE9BYFQxzkbCfGe2tQcIhpaJdt7+jx/a9ZevFFf2u/MoTejxjn747f8x8WOF8xhwgHt3Py+/ZTYAoU1ZwAbaupY7uNc1/aUlqSMNm5a4zCsrikdI2bWJJdfQYrcHi+putKbqPuVnoKURpXv+9W1heenLTvMNDtlP6Uwgj9WGfenxhG7KCaVSpWs4qsa2Oecc47vtltvvdX9vHp1uYqZ0adcNKOxMf+AjCNylnTOOOOMst/PmTNHyfGLJfP9UH3NKqVbqnTOOk8JKC73oKTPWc5aPR/weVstuvBFWnoHGNY0tGnRTxydfkd3dWxXcd+eeVuRn/UOcfy/079u8u3fwOGfN7nfRxzgXzuEu66jYY9zm+11XakiYQER32Y1Gc2dyI6Uuac3rRnmpK+a7qSotkZd3eKwzw204YmNtDxgCbmoiJwNbYWGVF9xPl0EeP2/NxpauWDHd/vuu7a2VGEyCo5/T+F18EZ/pv/nNA7664GsarOcSBWvjuLIWVZLcf7cg3m+qbTPaU139NL+zqLVwBDcMmUHFjUWZvD0L+uPpc8ZQKq+9D574fxFeTEQxVGq/lSps9hkR/NTxOPAjiXGvXM2Y8YMV+bcy1577RWbc/btb3871H5OnU7UhHXOJHKWZ926dQW/f+hDH+Lxxx/3VSscbZIaOavknKlMa2zorOdPE2cF7nNnx3bK+pyhaayqLe94Lb/ZutdX1TSiVWoDMAo4k5B7J8wM3G8EjaEp0aeAOfasXJ//7gedpQqp13TO4/6Ddy/5frTxqkdeeX2O9909nTcntvvur6b5q/WzXLpV33prUpS2J0UqImeOc5YN4ZkOtylMZw7BkJ9c6SgSNCYGM2nm/WhPXrrsPXxxzgF0ZaK/x8qx0HaCGmZZzuGDz5k8/bK1TcVzMZMpcxBNK5vmWdutLnK2ZIWVanrZ7HcVbO99o5ec3VJjJKO2LjZTpg63++Uelv/WeneojlINlHHODttsidq12vWwobIOxikym8bqIVZcw9Tb28uSJUsKvlMtwFEJrwpglJSzp6kpr3gVhyBI0jnuuOMKfu/s7OSQQw5Rdvx3vetdlXdC/TWrpCKpNK0RaMyVb5LpsClTp0at0Y7AFKeCFNOdziiVrvdLSXPoT6eV1MCFffSuqWlQskLsjZxddSO80QXdPg17w8Wwq8dZjyl3zfqXW+IAdbY8Yl1L9BNH17/RNJb6KCQ6dM9pj9yerWFQgXNWDifasLBhAhv16Vz8hwZea2yLxRaAB9pn8PVZe3Pw36yo3hFfUNtixI9yE3+VkTOHXNG91vdWPxvfsFL3+hSIyniZ8O7ydfgvfsHyplO1aqf75SJn/7nhbRqzw0yx28V4lW6FQkI9gXRd/w5wMLAUOMcwjGH7+72BnwLDwBbgVMMwQnbKSBbFK/qLFy9m8eLFBd8lzfnwRq+iRNIat55JkyYxNDTkOhuqz01DQwNLly5l9uzZgfslLXKm2jnrSQU7i0NaSo1aoz2D35wO/vv7FTlnzqJvuRS5AntSap3FYl7dZxa7Llzm/r4lU8N0FT2q7PMz4FmsX1+TjOjPqjK1MP2LrT6e9Y5z1hz9RM3bjuFLcw5g9mAP//vms2X3zSmOnF3duQfHbOxir76NZbfH5Zx9ac4BHL/+bW6esiPHJqCVp6lpPNU6hbrJpeMlzre9ViYzZMURO0R+3EqLRC9d9AqOu6FC8dNL2z6t7PatXXnly6+W3d60c7NSe/p9xFtuf/VhAGo7asg0SeTMj4pPaNsB6zQM41DgVeAkz+aXDcM42DCM9wLPASdGY2YyCCtProof/vCHSo5TLtrxm9/8hg0bNgDQb1eZO/3QBIuwvcaiIsz1SJpzplStEfjd5Dn8btJs3+1DWkpp5KwnHXx++lNpJZOitP1HV4qc9aXSSs6PX5bu4g/uwr437O3+3lXbqOT8uA2N1+UN+78pc8vuayqexm4s4yQOPLqWL7/9AhNH7H6CCiJnNZ6UtIF0hvUZ/3u7WAY8ah5pn86lc3Tf7SrSGgHu/IbG9I7872/VN3Nd5+5srKlj1QYlJoTixSUm1/w2OUrDT3l6Zi2ta+KLcw5gwwGdkR+3nFBSucUQgP4Gtc6ZpmnMOX973+0tu6t1zgbLRM681M+QqFkQYZ6IBwP325/vBdzcLCeCZtMAvDZ6piUP1av6QdTU1CgTlyg3ge/t7XUVCR3pf2+qoxA/YRYTkuacqb7Hjji8lpum7uS7fSiVVldzhpWWF0SfokjV3rafUTGtUZE9Iz7NgZsbNdpsiW/aasgpinQ6K+jLPeKra2sb+Op2+5bsm/btFhUdX5yzf8l3h3SvcV/4Da0qnLPC39fWNnD91J2oO6y0z1hNudqiUWZye+l3X5+1N7/vmF3yfU5RvdCJh2msuCvF0QeUbntbjd5XKI77b5OLflo4juNMlHmydQp/e+8e3PjBA/ns3IN5rbFNzX1f5hifmXsQKz+4Y8n3ayf6q29GSeOO5TOqVDtDDdngkoHajuTMp5NImOWhCcBK+/NmoEAmR9f1Y4D/AYaAEiULXdfPA84DmD9/PkceeWQ19kZGGHW79evXK4sO3XvvvRxzzDG+27PZrDJBED8efPBBjjnmGGbNskQVTNOM3SYvF110kTJ7hoeHA4/V29ur/Nz4tWQo3kelXdlsfpY9e/Zsli5dWrC9r69PqT3fPEtjcLCNBX37c8raNzmgp1DIZUhLsXLlishf/LncNEDj/gmdvKtnfYkdDv2pNOvXr6OrK9rid30OnHxYG3c9HPxCb8kOs7pnE11dfZHa0z8wmXKvq/6+HjZmutnlD3N5ckUT/BgGBwfo6iqfrjZa9PY0Ay2s2zgI5CNCfT6RTyVj2rTGEMBrje2cufOhXP3ms0wbHijYLQes27yKnv5oB3VfbxPQWvDdHZNmc/YBi9EeXVu07xa6unoiteeOr6Z535cmk/PI6D3VOoWnWqdw0vqlAOSm1PI7s5OhoUG6utSFrrIjE4DCe+1zPyh0htQ9F6eXfLN0VelemzauoasreAIelT0A/5wxkS19+WvZvSX6MbR5cwPQXvDdYCrN6ok1JVa+1dYQy3xo+5/MZOOfNrHqx4WaBP0Zle/W6SxuaA3cY6RxJFHzxTjo7PSP9oZxzjaRf8K2AQVPLMMw7gXu1XX9YuB8ihw0wzB+AfzC/jU5cfEiwoh9bLfddkyfXv5BMdpMnly6uugll8sFXlhV3Hfffe7nadOmKbVJ07RAVcIFCxb4tkoYbbq6ugL/9qamJuXXy0k3dTjwwANLlEnb2tqU2nXRRRfxyCOPcOaZZ7LPPvvwxS9+sWD75MmTlZ+nS880ec/TDVy1/b7c89LfCrYNpVLMnBn9Pf+t80wu/qnJYCrNVdvvy2Vvv8DB3aWCP83ZESZPnkRnZ/TLxBd+1OT3jwQvWj3QPoP3d7TT2RltU3jTR1ajubmZ6dNbMKfBS09aezY01Ec+htraLHuGc4Wpen4Nl5WMaa3wHK2vqefcnQ7h7pcfLPh+SEsxZ/vOyOXrJ000KffKb65vobgwfeKEVjo7oxW+6OyE+R/O8cM7Srd9bocDeebaHC/UT+DmL5i8r17RNbNpaaq8OKzOnnASNrM6pyh5DvnZk87UFcjVt7ZGP4bmzCo/ps0ZpdL+DQ118czROmGODn/58X0FX0+ZO4XpndN8/tHo8t69+nlkURNtvz6EmhteZd3f15fs0z5L7dxjrBEmrfEfwBH256OBJ5wNuq5730ybgWiXT2NGZcpV3PVK7wTVaY1BDvU999yjzDELQ1hp+9GkOIWwXEqh6rTGY489lmXLlnHDDTfQ0dFRsj1MtG+0Carb9ptsjzYLToVnfrSa3CMa/306/GraTqyqKY1atWaHldR4gRWDMcuMjwVz9ufcuQezYM7+3D5pdkn6WhT4pTWOZOG9F5hk3m9ywpftlh4K05t6Ctc/lI2XsOS0VIlqWr2ZU9JXrLiBsEN2pPRZqEp13O9eX9LQSschE91pt+qMPRX30Gjjd31Hm0d+WP5qjGRhwCPQqOJVtv+u5b/vbSnNqFLcVqwiKtMI/+/iDXTdqXHIh5rZ9cpdytszKRkCSkml4pvEMIyFwGpd1x8D5gF36Lr+c3vzMbquP6Lr+sPAUcCvojI0Cah0mDRN46yzzlJ2vEoceOCBFfdR7ZyVcyxOP/10TjjhhMCU0PGC1xm78sorE+GcAcycOZNUKsXcuaUCCqoaq3vxTtj6iiayqs6OpmnM6MihaRq7bKexqraRT+58KC82trv7rKqp5zdTdlBe6/Hl7d/F3+flaypeaWxnRV0TrzS2g6ZRo2BiPeyTPfWXp+DxRYXfqTg/TQ3WQdZuKvx+qEIRfBz0+qimRY2fw/HcltKJrCrnrCFgPjgyYvK3Zx3lYTX2OChuiRVIU324yJkqQctGn8zqR18oTLdUcc2mdWh0lAnO3fpoir9OKIwCJU28unUvdTVwmTTMmGSdgNZ5Lbz98w+wrLawFq7j0NJoo5An1O1lGMZFRV+db3//R+CPo21UHAwNVa7hUC1WcOONNzJ//nz237+0uFs1l112Gccff3zgPs3NatWADjzwQJ54wg3kous6N998s1IbwrLTTv6iE1HhdbwuueQSHn/88cB9VLPvvqXiCdOmqUm78OJ1zj4992Dm9W7k4q4XAcjFcH6aPXPXazr34Kw1r3P7pNm8VW+9XFWZ5BznheYOJk2o5XDeKLufiomlX+TslbdKv1NxfjrsRP8NWwq/T1rkDOw6uJHoe0AV4+ecXfxIO3/8/B5ccVctJ69byl8ndHKaool+Q52GX3XF926D79xifVZ92ycpcnbCwQPc8vfKbXpURc4mBpQueVtZqLpmt1yucfSCwjH05kr40Yzd+f2k2Xx65avcOnkHZsfsnO13y768ff0y2t7VxsSDJlDTGl82Vqo2zbWd87jyrX/yROsU6vefyIf2b4/NnrFAgh4J8bJ58+aK+8SRapiU3mFhJM5VR85uv/12fvCDH/Cd73wHiCd1sBKGYXDXXXdxwQUXxHL8X//61wwNDVFfX5+YyJlDOXGdT33qU8rt8Dpn62rqeaR9Oj3pGub1beJfjdHWUpWjybNSvLa2gWtm7lmwXV00L/+5Z8B/PxUTy61xAOsUPKY7fCaM3ekaelMZmio0N1dJd7rwhPxy6k58SMFxgyKq9zdPZ2EzLGy2Ups/noDI2SU/i6/BcpKcs6vO3Mzm/kbueTJ4PxX3GcAOMzR+cAFc+MPg97uqS3aEDld8wmo+X8yq2kau2P5dAOyhpg2tL1OPnsLUo5NR2qFpVsbFR3d9H2gaJ5fPdBQ8JG+ZLyY+9rGPAXDFFVf47pNOq889SIrDESZqOGGC2ons9OnT+fa3SwRCE8V+++3HN77xDeX9uxzOOOMMzjnnHKB8zVmYRYko+dCH8tPEXXbZJZZeecUTtivP1niuZRI3TZ1btuYqair1LlVl0mxPEPOI/2yiN5Xh1YbSnB4VE8u6rUhaUNH7tVxqE8BIKsV5Ox1M93cO4th5R3LjlLncuadPocooc75PYkNdrjDs+LInVTZKgsZFcdQl7pqzYlTf9UlKa2yog59+sfIZUBU5A7jgpMr2qHouplIaV55TeercGrNzliTc+jv7IiUj5JBsxDmz+fnPf87f/vY3LrnkkrhNSSRhnLN3vetdCizxJymObFIpF/ldt668ZLsqbrvtNvdzXE3eiydszTH3Uq/k7KiahEzr0Hj+lxpv3a5xxblphv7vfSwo0z9LxcRyaxwuJc5ZQKrVpkwd2e2tFNTbJ8/hmdmzojcIuOYz5QdGsTPmJ/c/2gSN0+/fVvh7EmrOvIznyBlAa4gkGFU1Z2FJSJKRS5hzOF6IIa4x5hHnzKa5uZkjjjgicSqJSUlrLKesV0wl+f+oEecsmHLOz4YN6nr5lMObCrtmTal0vAqK03OaxDlz2Xdnje2matRkNI46OFU2kqgkcrYVj+WwE/BqmFkhW8hbI6fqsVRbo3HYnqW1ZTdO3Ykbp+TFdyo1Fh8tBraiFZ8q5ySpzlnSlP3CLFCl08kyOp2w2WxbU7LOT5yc8J7436tjjYQN5/iJI3UxiPp6tV3d/agk9nHttdeqMUR4x5RrPRC3cwaw2267AerTYh2KJxkqIi9BtFRIh4nrle8X3Uiac6bi+rU0Bl+FAucsYlu8TJtYqpwymEpz++Q5/K19BosaJ7C6Rs0sqX8rNEiSltaomlzC1hW9z8QT3hOjIVuBqhq4sFR6jo8nJrRobLpHnNWtQZyzIryRqptuuilGSyx233135s+fz/e+9z1OP/10fvKTn/DhD3+Y+++/X7ktf/7znzn99NM58cQTOfvss/n617/ubmtslCdR0lm/vrQRZBKcs7vvvpvjjz+eW265JTYbvnVe/r5XIQ0fxG7bw/wP+2+PK5juN4FWMbFOWs0ZwIxJ/ttu+Gt+tq0yoH/Zx7r5yHvLb7u2cx6XztG54ctqXvtJdM7CRs62Juo3GuTCqdfHgp9Sqmqe/lnwg29rnhEqWLspYR53zGQy+euXkISwRJOwrOFkcfLJJ7NkyRKuvPLK2GzQNI3rrruu4LtPf/rTsdhy7LHHcuyxxxZ8d/nllwOw1157xWESAPPmzeOll17i8MMPj82GscBbb5Xqjh922GExWFLIjjvuyB//GG9HjkvP0PjyL6yXadzBc03TuO7zGs+8kuOZV8ptV28TBETOFJyvo/bXeHxRuMlOfa2aE3TecRpX3lDeJm/vNZUT747WHL//egrtsPIH7WiDsz6o5vzssl34fVU5Z5Pbw+03OBypGSX0Bqihxs12U+O2wOKA3TUWnGpyza3ltyctcrbLduKBFNPWDJt74OA95NxUQpyzMjz66KMMDg5SX18fm8reWGHRokW88soroZpUR8WDDz7IPffcw2mnnRabDWOBxYsXu5+/+93v0tbW5qqUCuU577j4jn33tzWmnlA6+Y+rPiXOtMZLPgY/uQtWhQj0lsnejYTLz4K5nRp/f97k+r/475ek9fOswijI0QfA50+Ga2+vvK+qmrM9d4CbLtM485vBV0V1/dLC19UeLwyLbtB4bRls6oGkjOKgKHSSnLMPHginHxm3FcnjXzdoPPg8nCHnpiKS1liGQw89lCOOOAII199rPLPnnntyyimnxGrD1KlTOeecc2KRYR9LXH311YDV3HzBggWce+65ynvTjQW8vk+cK3xTJmj8v4tLjx9X5MxvwqpiYl1bo3FuSEe5b0DNRDKV0jj9KI1ZFcRBkqRTpLK2SdM0rjon3GBVFTnTNI2PH60xtzN4P9XqiZeeXv48bT+t7NdK2HNHjZPep3GkHp8NW0OS0hrPO94SURIKmTVV4xMf1ApSHIXyiHNWgdbWAM1kQRhDLFiwgGXLlnHmmWfGbUqi8To/cc+r/+s/NFbcqfHn78Sfr5/yCdmpmlinQ4YM+xSniFVS1E1SPVFWsS2tTRqr/lD5uqnu81XJ+VJdd3rK4RrLfl9GCTUB+mTbT9NY8yeNgQc0fhKi/1mUBC0uqI6cFQt+/Oby/LlJUt86YWwizlkFPvaxj/Ge97yH7373u3GbIghVNFU+GAAAE6xJREFUoWkaM2fOTEx7BiEc0ydpTGzJ/560y6cqyhA21Ux1/c4kn4bUcfL1T1qDZK8d4QuexIapMQiihqnzUj2ZrXS8OPqOzZxSemPHXf/qMLldo65W45PHwnv3KRRQUsni5f7bVCtx/vDCwnPgjcYmrW+dMPaQIVSBhoYGHnvssbjNEARBEdMm5j8nxQ/yNjRNmhy4qhq4HSukojnMma72qh2yZ/D2OKKvXzlL4ytn5c/Dr+7JsaUXTvJRcowSK+IafBZUT2YrRs5imhlN74CVHlHd/XaG194ufCbFSW2NxsM/jO+pONNupTplApx6OPzwjvw21dfsEx/USGlw1ressV3vqYCRyJlQLeKcCYIgAA98X+P5f8Ohe+e/izut0WH32fDNczX3c1zcdpXGoy+Y/OhO9cf+6OHwepfGNbeabOnNf7/vTrDzLDhonsb6LSYXnKTWrn120vjKmSbf8Om8koS0xod/oHHHIyaXn5WU5YZCEpfWGNPM6PEfa3zqGpO/Gdbv131eY850k3OOTeZ1U83XPqkxocXkvOM0rr298Okch0PkTbP0RqXFOROqRZwzQRAE4AP7aXxgP+tzbY3J0DDsv2u8NjlomsaXPx63FXDy+zXmzYEf3ZmflahKs0ylNC4/C556yeQvT+W/v/rTGkfojhHxTGIvOEnjGzeVd+VV13mVY9+dNfbdOb4J/sRW2LDFf3vS0hpPfl8852qHGRq3fw3aP2SNpYmtGt84Vxwzh8ntmptSOTRSeL+pVtiEwoUXb/ru8IhyU4RtDHHOBEEQiui6Q2P5Wpg3RyZGxdQWvTVU18AVS+Unob4jaGKouqFxEnn+lxqzT/GPQyfJOfvaJzVOfr86W4ppa9Z45dfQVB+fDWOBNRsLf487cuZN3127Sb0twraFCIIIgiAUMaldY5+dxDErx5zpVr8ogHlzYLZiue/vfEorUEqLY8W8GHHOgtl+mhbYzDhJaY0HzauswBk1u26vMWuqPH+CKHbO4hBPOfl9MHUizP+w9fsFH4HOyVafM0GohgSsOQqCIAhjhXRa44Ub8r+rnsjuPltj818h9V5rlToJzo84Z5UZ8TTAPmxvePSF/O+qG6sHSdSrbsUgvDOKVUDjiDS2NWusvCv/DPzBhSmuvcCM3bkXxj7inAmCIAhbRdyTD+v4lnPWPxirKUDwqv3QsDo7koy39i5uhzUocqa6FYPwzrj2cxp1tSYtDTChBXbsjOeZVPwsjPvZKGwbiHMmCIIgjFm2V5xWWY4kpFYmnRMOgV/cDUfqsGpD4TbVqqiHv0vjT0+UP+qOMxQbI7wjZk3VuOWr4ggJ2ybinAmCIAhjjpdv0ni9C/baMf4Jmtc5+5/zNC79RVKaMCSH739O49C94T8Ogv3Pi/f8fPZE+MPj8PA/rd9/e4XGPnPh1bfhgN3jH0+CIIxvZL1PEARBGHPsNlvjuEOSMZH2Kkh+4oPhG2aPJxrrNc44SqO9RXN79jnMmqLWlkxG4/++bNnwnr3g1A9o7Lq9xn8emozxJAjC+EYiZ4IgCIJQBd4aOE2DF2/U2PMTJq93xWtXUjnlcKunYEujVZPXUKfeKdpuqsbGeyhQ/hQEQUgCEjkTBEEQhFEilYL6Oo27v63x7nnw92slGlOOjjaN2hqN5sb4zk97i0Y6LddHEIRkIZEzQRAEQRgl6mutn7tur/HkT2XiLwiCIGwd4pwJgiAIQpXc9U2Nnn5oiTESJAiCIIx9xDkTBEEQhCoRMQlBEARhNJCaM0EQBEEQBEEQhAQgzpkgCIIgCIIgCEICEOdMEARBEARBEAQhAYhzJgiCIAiCIAiCkADEORMEQRAEQRAEQUgAodQadV3/DnAwsBQ4xzCMYfv744CvAMPAc4ZhXBiRnYIgCIIgCIIgCNs0FSNnuq7vDXQahnEo8CpwkmfzC8AhhmG8B5ii67oejZmCIAiCIAiCIAjbNmEiZwcD99uf7wXOBn4LYBjG2579hoDcqFonCIIgCIIgCIIwTgjjnE0AVtqfNwMTi3fQdX1/YIphGM+X2XYecB7A/PnzOfLII9+5tUJsDA8P09XVFbcZiUXOj1AtMoaEapExJFSLjCGhWmQMhaOzs9N3WxjnbBPQan9uAzZ4N+q6PhO4Fjix3D82DOMXwC/sX80QxxMSSFdXV+BAGu/I+RGqRcaQUC0yhoRqkTEkVIuMoeoJ45z9A/gicBNwNPCEs0HX9RbgVuB8wzDWhPh/ae/ESCF+5EYLRs6PUC0yhoRqkTEkVIuMIaFaZAxVT0VBEMMwFgKrdV1/DJgH3KHr+s/tzZ8H5gA/0nX9YV3X3xuVoYIgCIIgCIIgCNsymmlKpqEgCIIgCIIgCELcSBNqQRAEQRAEQRCEBCDOmSAIgiAIgiAIQgIQ50wQBEEQBEEQBCEBiHMmCIIgCIIgCIKQAMQ5EwRBUIyu69JWRBCEWJHnkFANdjstIQLC9DkTxgG6ru8MzAUeMwyjO257koau6zsahvGG/VkzDENkToWtQtf13YBzgK8bhrElbnuEsYc8p4Vq0XV9V+A4rB61XYC8y4Stwh5D3wTuAa6XOdHoI5EzAV3XzwR+C3wA+B9d1+fGbFJi0HVd03X9MmCxrutX2F/LaqMQGl3X07qufxX4NfCAOGbCO0Ge00I16Lqe0nX9YuD/gNnARcC0WI0SxhS6rmd0Xf8ycC3QDBwGII7Z6CPOmQDQCsw3DONLwDLgTF3XpcW7RQ3wLLA3cISu6zMMw8jpui73jhCWCVgvsh8DaV3Xz9B1ffeYbRLGHvKcFqphAvAycKhhGJ/FWmScHK9Jwhhje+Bt4FjDMI4GGnVdnx2vSdsmktY4DtF1/SjgTOAfwPXAdGBn4EngQeC7wNNYKQ/jDl3XjwE+hnU+fm0Yxv32938FrgLORVJBhACKxtANwN3AfwMjwCPAd3Rdv9IwjOfis1JIMvYYOg14CvgV0AlsQZ7TQkh0XT8a2NswjKsNw1gP/Nn+fm/gCGBE1/W7sNJk5Z0mlFA0ht4AnPKO2cBiIBejedsssvo/ztB1/ULgC8BNwBzgG8BPgQ/puv454HxgI5bDNu4KhnVdrwfOAm7BSvn4pnMODMP4FrCbruv7GYZh6rouixtCCUVjaDrwNWAhcKlhGCcYhvE94AGs9LRxd48JlfGMod9iOWWXArcDx8hzWgiDruvHYS0mvlfX9Y/Z32m6rtcA87DmAa8CRwFTYzNUSCw+YygNYBjGUkDHmkci2USji5zM8ceDwNl2NOh/gFbDMJYDXwE2YE0GLgcmwrjMJd4J6DcM414sx7UVa0LkTH4ux3LYPgPsE4+JQsLxjqGvA1OAQwzDWOR5gT2BFa0ej/eYUBnvGLoK2AFoxHr+bESe00JlDKwFoC8AJ+i63moYhmkYxrBhGLfYY+t+rNTGtXEaKiSWcmMoazv4YC1AHgdgGIZE0EYRcc7GAd5VVcMwXjQMY5WzCRiwv19sGMZvsPLQf4aVmz5u8ETH/gVM13X9OMMwhoE7gZM8k58MVhHsHoyzcyQEU2EMnWzvlrKFHX6K5aAJgkuFMXS2YRhvGIZxM+P0OS1UxjOGVhqG0Qu8iTVOPmtvT9k/T8Mqa3gL0CT6KjhUGkPkUxn7gTW6rjeot3LbRjNNWXDbFtF1/d1Au7065txsKXvVQ7PT8o4F5hiG8SNd1zuw6hn+C3hmW6+Fsc/PmVhywi8YhrFZ1/VGwzD6dF0/HLjMMAwn7ezPwP8ahvGQruv/CSw1DGNhXLYLyeAdjKFvY0WnzwZ+axjG83HZLiSDdzCGvgs8B5wOGNv6c1qojM8YqrGdemefXbAirRdiRV6nAOcBfzQM44UYzBYSxFaOoc8D3YZhDOq6vgew2TCMZXHYvS0jztk2iK7r52Ol5N2GJWjxlGfbNKDFMIzFuq5/FpiBFUGdZBjGubEYrBhbEv99wB1YClamYRjfsLfNAPqAq4HXgBux+nn8r2EYi+OwV0ge72AMfQtwCqoF4Z0+h64xDOP1OOwVkkeFMeS+6+3fLwE+B9xnGMYn47FYSBrvYAzNBx40DOMTsRg8TpC0xm2T+4D3AA8Duq7rzeCqND4J7GMXdR4F/Aewcrw4Zjb3AR8xDONHWOdoM7iqRE9jpXteBWSxelOtEsdMKGJrx9BKccyEIt7Jc0gcM8FL0Bh6ErsuWtf1/bFqh34sjplQxNaOoZ+IYxY9oja3DaDr+ieBE4FPG4axzFbRQdf1icBc4L1YndyfBw40DGONvf0W4FHDMFbGYrgiPOfnU7b4yTOe4tUdsHp3gJUutJ9zfoBrdV3/mWEYA2otFpKGjCGhWmQMCdWylWPoQM8YWgGcYhjGJpX2CslDxtDYQCJnYxxd19uAI7GaJb9P1/Vaz+bnsW6oHeyCzc2GYayxZZoxDON348Ax856f9+u6XmsUNpHeDrjX/jxsn58aT0GsTIjGOTKGhGqRMSRUyzscQ7UAhmF0yaRakDE0dhDnbAxjC3tsNgzjVKy+N4djRcoAMAxjEPgL0IGl9vUVXddT4+VFX+n82PQDk3Vd/yrwWfvfDIs0tQAyhoTqkTEkVEsVY2hIta1CMpExNLYQ52yMoev69vbPtK246KysLgVewupF0ez5J/sCJwDPAl83tvFeFGHPj71aVIelTnkxVkuBq2UyJMgYEqpFxpBQLTKGhGqRMTR2EbXGMYKu641Yyl2zsPpuDeu6njEMY8Szz1TgSqz+NxrwBjAN6DMMo0u91ep4B+cnDSzByr1+TArtBRlDQrXIGBKqRcaQUC0yhsY+EjkbIxiG0QcMAS1YfZIwDGNE1/WddF3/tK7rHYZhrAbeBv4EfAlbAnVbd8zgHZ2fzwONhmHcIA8iAWQMCdUjY0ioFhlDQrXIGBr7SOQsodgh5gbDMDbZBZnDwKeBRcAFWM6XCVwL/MEwjJtt0Y/bgT8bhvGzeCxXg5wfoVpkDAnVImNIqBYZQ0K1yBja9hDnLIHoun4aVhPpvxqGMd/z/Q+xelK0AjsDvwWWFIWqC0LX2yJyfoRqkTEkVIuMIaFaZAwJ1SJjaNtE0hoThm7J3DcB5wKaruvHeDY/hCWP3wN8EjjfDlW78vnb+o0m50eoFhlDQrXIGBKqRcaQUC0yhrZdpAl1ArAVdS7GahS9yDCMX9rfNwCn67r+N8MwssChWKHqDcDvgT6AbV3qVM6PUC0yhoRqkTEkVIuMIaFaZAyND8Q5ixld12uArwKvYykrno8lfQ/wd+ADWKsiPwOuAw4xDOPmGEyNBTk/QrXIGBKqRcaQUC0yhoRqkTE0fpCas5jQdf3DwCTgAeCXhmEcbn//K+AVwzCusXtSbA98E3gGuN8wjFfs/VLGNtyzTM6PUC0yhoRqkTEkVIuMIaFaZAyNP6TmTDG6rk/Wdf3PwCnA7sARwBpd18+2d7kKOEnX9cmG1QCwFXg31uqIe3NtqzeanB+hWmQMCdUiY0ioFhlDQrXIGBq/iHOmHhP4uWEYp2Ip7OwO3AHsoev6ToZhvI2lsHO0rusZYD/gS4ZhHG4YxmuxWa0OOT9CtcgYEqpFxpBQLTKGhGqRMTROkZoz9awH7gcwDGOdruvTgG5gMVYvik8BE4AXbCWdG+IyNCbk/AjVImNIqBYZQ0K1yBgSqkXG0DhFas5iws4PbgN+axjGB+3vfg40ALXAeUC3Haoed8j5EapFxpBQLTKGhGqRMSRUi4yh8YdEzuIlAzyu6/p+wDHA9cC/DcPYGK9ZiUHOj1AtMoaEapExJFSLjCGhWmQMjSMkchYjuq5/EPgT8CDwG8Mwfh2zSYlCzo9QLTKGhGqRMSRUi4whoVpkDI0vJHIWLxuALwM/kMaAZZHzI1SLjCGhWmQMCdUiY0ioFhlD4whxzuLlGcMwno7biAQj50eoFhlDQrXIGBKqRcaQUC0yhsYRktYoCIIgCIIgCIKQAKTPmSAIgiAIgiAIQgIQ50wQBEEQBEEQBCEBiHMmCIIgCIIgCIKQAMQ5EwRBEARBEARBSACi1igIgiBsU+i6vgD4LnC2YRg3+uzTCFwMLPXbRxAEQRBUI5EzQRAEYTzSCFwBfCJmOwRBEATBRaT0BUEQhDGPHS37b2AN8CxwJnA2cCxwBNAALAEuMwzjLl3XlwLbe/4XVwHfsv87DWgC/gZ8xjCMtYr+DEEQBGGcI86ZIAiCMKbRdX1vYCHwEvBDrIjYDCznbAqwEWgGzgVmAZOBDwO/AV4Bvga8CHwEuBL4ObAKWADcZxjGR5T9MYIgCMK4RmrOBEEQhLHO++yf3zcM41e6rs8CvgKkgXnAqUCtZ//ZwP325zWGYdwKoOv6DfZ353v2PTIimwVBEAShBHHOBEEQhG0FrehnDVZ64wPANcDnsNIc6wG/tJER4D+ArP271GYLgiAIyhDnTBAEQRjrPGz//Lyu6ymsdEYvTcBOwCGe77YAOWCuruunA48DfwZ04Cwsh253YA75KJsgCIIgRIqsCAqCIAhjGsMwXgAuAqZhRccesTcNA7cC+2ClNt7n+TfDWHL77cDNwKHA/9jfHQr8CPig5/8lCIIgCJEjgiCCIAiCIAiCIAgJQCJngiAIgiAIgiAICUCcM0EQBEEQBEEQhAQgzpkgCIIgCIIgCEICEOdMEARBEARBEAQhAYhzJgiCIAiCIAiCkADEORMEQRAEQRAEQUgA4pwJgiAIgiAIgiAkAHHOBEEQBEEQBEEQEsD/B/apQpYmrcdyAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "preds = model.predict(series=train, n=val_len)\n",
    "eval_model(preds, \"First TCN model\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "db5241a0",
   "metadata": {},
   "source": [
    "Above, we built a first TCN model without any hyper-parameter search, and got an sMAPE of about 17%. Although this model looks like a good start (performing quite well on some of the series), it's not as good as the simple linear regression.\n",
    "\n",
    "We can certainly do better, because there are many parameters that we have fixed but could have a large impact on performance, such as:\n",
    "\n",
    "* The architecture of the network (number of filters, dilation size, kernel size, etc...)\n",
    "* The learning rate\n",
    "* Whether to use weight normalization and/or the dropout rate\n",
    "* The length of the lookback and lookforward windows\n",
    "* Whether to add calendar covariates, such as day-of-the-week\n",
    "* ...\n",
    "\n",
    "\n",
    "### One Option: using `gridsearch()`\n",
    "\n",
    "One way to try and optimize these hyper-parameters is to try all combinations (assuming we have discretized our parameters). Darts offers a `gridsearch()` method to do just that. The advantage is that it is very simple to use. However, it also has severe drawbacks:\n",
    "\n",
    "* It takes exponential time in the number of hyper-parameters: grid-searching over any non-trivial number of hyperparameters thus quickly becomes intractable.\n",
    "* Gridsearch is naive: it does not attempt to pay attention to regions of the hyperparameter space that are more promising than others. It is limited points in the pre-defined grid.\n",
    "* Finally, for simplicity reasons the Darts `gridsearch()` method is (at least at the time of writing) limited to working on one time series only.\n",
    "\n",
    "For all these reasons, for any serious hyperparameter search, we need better techniques than grid-search. Fortunately, there are some great tools out there to help us.\n",
    "\n",
    "## Using Optuna\n",
    "\n",
    "[Optuna](https://optuna.org/) is a very nice open-source library for hyperparameter optimization. It's based on ideas such as Bayesian optimization, which balance exploration (of the hyperparameter space) with exploitation (namely, exploring more the parts of the space that look more promising). It can also use pruning in order to stop unpromising experiments early.\n",
    "\n",
    "It's very easy to make it work: Optuna will take care of suggesting (sampling) hyper-parameters for us, and more or less all we need to do is to compute the objective value for a set of hyperparameters. In our case it consists in using these hyperparameters to build a model, train it, and report the obtained validation accuracy. We also setup a PyTorch Lightning pruning callback in order to early-stop unpromising experiments. All of this is done in the `objective()` function below."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "66896ff7",
   "metadata": {},
   "outputs": [],
   "source": [
    "def objective(trial):\n",
    "    callback = [PyTorchLightningPruningCallback(trial, monitor=\"val_loss\")]\n",
    "\n",
    "    # set input_chunk_length, between 5 and 14 days\n",
    "    days_in = trial.suggest_int(\"days_in\", 5, 14)\n",
    "    in_len = days_in * DAY_DURATION\n",
    "\n",
    "    # set out_len, between 1 and 13 days (it has to be strictly shorter than in_len).\n",
    "    days_out = trial.suggest_int(\"days_out\", 1, days_in - 1)\n",
    "    out_len = days_out * DAY_DURATION\n",
    "\n",
    "    # Other hyperparameters\n",
    "    kernel_size = trial.suggest_int(\"kernel_size\", 5, 25)\n",
    "    num_filters = trial.suggest_int(\"num_filters\", 5, 25)\n",
    "    weight_norm = trial.suggest_categorical(\"weight_norm\", [False, True])\n",
    "    dilation_base = trial.suggest_int(\"dilation_base\", 2, 4)\n",
    "    dropout = trial.suggest_float(\"dropout\", 0.0, 0.4)\n",
    "    lr = trial.suggest_float(\"lr\", 5e-5, 1e-3, log=True)\n",
    "    include_dayofweek = trial.suggest_categorical(\"dayofweek\", [False, True])\n",
    "\n",
    "    # build and train the TCN model with these hyper-parameters:\n",
    "    model = build_fit_tcn_model(\n",
    "        in_len=in_len,\n",
    "        out_len=out_len,\n",
    "        kernel_size=kernel_size,\n",
    "        num_filters=num_filters,\n",
    "        weight_norm=weight_norm,\n",
    "        dilation_base=dilation_base,\n",
    "        dropout=dropout,\n",
    "        lr=lr,\n",
    "        include_dayofweek=include_dayofweek,\n",
    "        callbacks=callback,\n",
    "    )\n",
    "\n",
    "    # Evaluate how good it is on the validation set\n",
    "    preds = model.predict(series=train, n=val_len)\n",
    "    smapes = smape(val, preds, n_jobs=-1, verbose=True)\n",
    "    smape_val = np.mean(smapes)\n",
    "\n",
    "    return smape_val if smape_val != np.nan else float(\"inf\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4df57a40",
   "metadata": {},
   "source": [
    "Now that we have specified our objective, all we need to do is create an Optuna study, and run the optimization. We can either ask Optuna to run for a specified period of time (as we do here), or a certain number of trials. Let's run the optimization for a couple of hours:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e04ba254",
   "metadata": {},
   "outputs": [],
   "source": [
    "def print_callback(study, trial):\n",
    "    print(f\"Current value: {trial.value}, Current params: {trial.params}\")\n",
    "    print(f\"Best value: {study.best_value}, Best params: {study.best_trial.params}\")\n",
    "\n",
    "\n",
    "study = optuna.create_study(direction=\"minimize\")\n",
    "\n",
    "study.optimize(objective, timeout=7200, callbacks=[print_callback])\n",
    "\n",
    "# We could also have used a command as follows to limit the number of trials instead:\n",
    "# study.optimize(objective, n_trials=100, callbacks=[print_callback])\n",
    "\n",
    "# Finally, print the best value and best hyperparameters:\n",
    "print(f\"Best value: {study.best_value}, Best params: {study.best_trial.params}\")"
   ]
  },
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    "Note: If we wanted to optimize further, we could still call `study.optimize()` more times to resume where we left off"
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    "There's a lot more that you can do with Optuna. We refer to [the documentation](https://optuna.readthedocs.io/en/stable/index.html) for more information. For instance, it's possible to obtain useful insights into the optimization process, by visualising the objective value history (over trials), the objective value as a function of some of the hyperparameters, or the overall importance of some of the hyperparameters. "
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       "/*!\n",
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       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
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t[0]=s*(h*v-p*m)-f*(l*v-c*m)+g*(l*p-c*h),t[1]=-(n*(h*v-p*m)-f*(i*v-a*m)+g*(i*p-a*h)),t[2]=n*(l*v-c*m)-s*(i*v-a*m)+g*(i*c-a*l),t[3]=-(n*(l*p-c*h)-s*(i*p-a*h)+f*(i*c-a*l)),t[4]=-(o*(h*v-p*m)-u*(l*v-c*m)+d*(l*p-c*h)),t[5]=r*(h*v-p*m)-u*(i*v-a*m)+d*(i*p-a*h),t[6]=-(r*(l*v-c*m)-o*(i*v-a*m)+d*(i*c-a*l)),t[7]=r*(l*p-c*h)-o*(i*p-a*h)+u*(i*c-a*l),t[8]=o*(f*v-p*g)-u*(s*v-c*g)+d*(s*p-c*f),t[9]=-(r*(f*v-p*g)-u*(n*v-a*g)+d*(n*p-a*f)),t[10]=r*(s*v-c*g)-o*(n*v-a*g)+d*(n*c-a*s),t[11]=-(r*(s*p-c*f)-o*(n*p-a*f)+u*(n*c-a*s)),t[12]=-(o*(f*m-h*g)-u*(s*m-l*g)+d*(s*h-l*f)),t[13]=r*(f*m-h*g)-u*(n*m-i*g)+d*(n*h-i*f),t[14]=-(r*(s*m-l*g)-o*(n*m-i*g)+d*(n*l-i*s)),t[15]=r*(s*h-l*f)-o*(n*h-i*f)+u*(n*l-i*s),t}},{}],196:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return 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t[0]=1-(p+g),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+g),t[6]=d+m,t[7]=0,t[8]=h+v,t[9]=d-m,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],203:[function(t,e,r){e.exports=function(t,e){return t[0]=e[0],t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=e[1],t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=e[2],t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],204:[function(t,e,r){e.exports=function(t,e){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=e[0],t[13]=e[1],t[14]=e[2],t[15]=1,t}},{}],205:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=n,t[6]=r,t[7]=0,t[8]=0,t[9]=-r,t[10]=n,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],206:[function(t,e,r){e.exports=function(t,e){var r=Math.sin(e),n=Math.cos(e);return 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n(t);f=g-_,h=m-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*g+o*m+s*v),t[13]=-(l*g+c*m+u*v),t[14]=-(f*g+h*m+p*v),t[15]=1,t}},{\"./identity\":209}],213:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],g=e[12],m=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*g,t[1]=x*i+b*l+_*h+w*m,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*g,t[5]=x*i+b*l+_*h+w*m,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*g,t[9]=x*i+b*l+_*h+w*m,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*g,t[13]=x*i+b*l+_*h+w*m,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],214:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],215:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],216:[function(t,e,r){e.exports=function(t,e,r,n){var i=Math.tan(e.upDegrees*Math.PI/180),a=Math.tan(e.downDegrees*Math.PI/180),o=Math.tan(e.leftDegrees*Math.PI/180),s=Math.tan(e.rightDegrees*Math.PI/180),l=2/(o+s),c=2/(i+a);return t[0]=l,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=c,t[6]=0,t[7]=0,t[8]=-(o-s)*l*.5,t[9]=(i-a)*c*.5,t[10]=n/(r-n),t[11]=-1,t[12]=0,t[13]=0,t[14]=n*r/(r-n),t[15]=0,t}},{}],217:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],g=e[8],m=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+g*_,t[1]=l*x+h*b+m*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+g*k,t[5]=l*w+h*T+m*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+g*S,t[9]=l*A+h*M+m*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],218:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],219:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],220:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],221:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],222:[function(t,e,r){e.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},{}],223:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,g=r[0],m=r[1],v=r[2];e===t?(t[12]=e[0]*g+e[4]*m+e[8]*v+e[12],t[13]=e[1]*g+e[5]*m+e[9]*v+e[13],t[14]=e[2]*g+e[6]*m+e[10]*v+e[14],t[15]=e[3]*g+e[7]*m+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*g+s*m+f*v+e[12],t[13]=i*g+l*m+h*v+e[13],t[14]=a*g+c*m+p*v+e[14],t[15]=o*g+u*m+d*v+e[15]);return t}},{}],224:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],225:[function(t,e,r){\"use strict\";var n=t(\"css-font\"),i=t(\"pick-by-alias\"),a=t(\"regl\"),o=t(\"gl-util/context\"),s=t(\"es6-weak-map\"),l=t(\"color-normalize\"),c=t(\"font-atlas\"),u=t(\"typedarray-pool\"),f=t(\"parse-rect\"),h=t(\"is-plain-obj\"),p=t(\"parse-unit\"),d=t(\"to-px\"),g=t(\"detect-kerning\"),m=t(\"object-assign\"),v=t(\"font-measure\"),y=t(\"flatten-vertex-data\"),x=t(\"bit-twiddle\").nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},stencil:{enable:!1},depth:{enable:!1},count:t.prop(\"count\"),offset:t.prop(\"offset\"),attributes:{charOffset:{offset:4,stride:8,buffer:t.this(\"sizeBuffer\")},width:{offset:0,stride:8,buffer:t.this(\"sizeBuffer\")},char:t.this(\"charBuffer\"),position:t.this(\"position\")},uniforms:{atlasSize:function(t,e){return[e.atlas.width,e.atlas.height]},atlasDim:function(t,e){return[e.atlas.cols,e.atlas.rows]},atlas:function(t,e){return e.atlas.texture},charStep:function(t,e){return e.atlas.step},em:function(t,e){return e.atlas.em},color:t.prop(\"color\"),opacity:t.prop(\"opacity\"),viewport:t.this(\"viewportArray\"),scale:t.this(\"scale\"),align:t.prop(\"align\"),baseline:t.prop(\"baseline\"),translate:t.this(\"translate\"),positionOffset:t.prop(\"positionOffset\")},primitive:\"points\",viewport:t.this(\"viewport\"),vert:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tattribute float width, charOffset, char;\\n\\t\\t\\tattribute vec2 position;\\n\\t\\t\\tuniform float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=y(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var c=t.family.join(\", \"),u=[t.style];t.style!=t.variant&&u.push(t.variant),t.variant!=t.weight&&u.push(t.weight),_&&t.weight!=t.stretch&&u.push(t.stretch),e.font[r]={baseString:i,family:c,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:v(c,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:u.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);m(t.kerning,g(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=u.mallocFloat(2*this.count),A=0,M=0;A<this.counts.length;A++){var S=this.counts[A];if(w)for(var E=0;E<S;E++)k[M++]=t.position[2*A],k[M++]=t.position[2*A+1];else for(var L=0;L<S;L++)k[M++]=t.position[A][0],k[M++]=t.position[A][1]}this.position.call?this.position({type:\"float\",data:k}):this.position=this.regl.buffer({type:\"float\",data:k}),u.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=u.mallocUint8(this.count),P=u.mallocFloat(2*this.count);this.textWidth=[];for(var I=0,O=0;I<this.counts.length;I++){for(var z=this.counts[I],D=this.font[I]||this.font[0],R=this.fontAtlas[I]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(O),N=this.text.charAt(O-1);if(C[O]=R.ids[B],P[2*O]=D.width[B],F){var j=P[2*O-2],U=P[2*O],V=P[2*O-1]+.5*j+.5*U;if(this.kerning){var H=D.kerning[N+B];H&&(V+=.001*H)}P[2*O+1]=V}else P[2*O+1]=.5*P[2*O];O++}this.textWidth.push(P.length?.5*P[2*O-2]+P[2*O-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),u.freeUint8(C),u.freeFloat(P),r.length&&this.font.forEach((function(t,r){var n=e.fontAtlas[r],i=n.step,a=Math.floor(T.maxAtlasSize/i),o=Math.min(a,n.chars.length),s=Math.ceil(n.chars.length/o),l=x(o*i),u=x(s*i);n.width=l,n.height=u,n.rows=s,n.cols=o,n.em&&n.texture({data:c({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,u],step:[i,i]})})}))}if(t.align&&(this.align=t.align,this.alignOffset=this.textWidth.map((function(t,r){var n=Array.isArray(e.align)?e.align.length>1?e.align[r]:e.align[0]:e.align;if(\"number\"==typeof n)return n;switch(n){case\"right\":case\"end\":return-t;case\"center\":case\"centre\":case\"middle\":return.5*-t}return 0}))),null==this.baseline&&null==t.baseline&&(t.baseline=0),null!=t.baseline&&(this.baseline=t.baseline,Array.isArray(this.baseline)||(this.baseline=[this.baseline]),this.baselineOffset=this.baseline.map((function(t,r){var n=(e.font[r]||e.font[0]).metrics,i=0;return i+=.5*n.bottom,i+=\"number\"==typeof t?t-n.baseline:-n[t],i*=-1}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var q;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;q=u.mallocUint8(G);for(var Y=(t.color.subarray||t.color.slice).bind(t.color),W=0;W<G;W+=4)q.set(l(Y(W,W+4),\"uint8\"),W)}else{var X=t.color.length;q=u.mallocUint8(4*X);for(var Z=0;Z<X;Z++)q.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=q}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var J=Math.max(.5*this.position.length||0,.25*this.color.length||0,this.baselineOffset.length||0,this.alignOffset.length||0,this.font.length||0,this.opacity.length||0,.5*this.positionOffset.length||0);this.batch=Array(J);for(var 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this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new 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r=e.parse(t[1],1,Bt);if(!r)return null;var n=[],i=null;e.expectedType&&\"value\"!==e.expectedType.kind&&(i=e.expectedType);for(var a=1;a<t.length;a+=2){var o=1===a?-1/0:t[a],s=t[a+1],l=a,c=a+1;if(\"number\"!=typeof o)return e.error('Input/output pairs for \"step\" expressions must be defined using literal numeric values (not computed expressions) for the input values.',l);if(n.length&&n[n.length-1][0]>=o)return e.error('Input/output pairs for \"step\" expressions must be arranged with input values in strictly ascending order.',l);var u=e.parse(s,c,i);if(!u)return null;i=i||u.type,n.push([o,u])}return new He(i,r,n)},He.prototype.evaluate=function(t){var e=this.labels,r=this.outputs;if(1===e.length)return r[0].evaluate(t);var n=this.input.evaluate(t);if(n<=e[0])return r[0].evaluate(t);var i=e.length;return n>=e[i-1]?r[i-1].evaluate(t):r[Ve(e,n)].evaluate(t)},He.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},He.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},He.prototype.serialize=function(){for(var t=[\"step\",this.input.serialize()],e=0;e<this.labels.length;e++)e>0&&t.push(this.labels[e]),t.push(this.outputs[e].serialize());return t};var Ge=Object.freeze({__proto__:null,number:qe,color:function(t,e,r){return new te(qe(t.r,e.r,r),qe(t.g,e.g,r),qe(t.b,e.b,r),qe(t.a,e.a,r))},array:function(t,e,r){return t.map((function(t,n){return qe(t,e[n],r)}))}}),Ye=6/29,We=3*Ye*Ye,Xe=Math.PI/180,Ze=180/Math.PI;function Je(t){return t>.008856451679035631?Math.pow(t,1/3):t/We+4/29}function Ke(t){return t>Ye?t*t*t:We*(t-4/29)}function Qe(t){return 255*(t<=.0031308?12.92*t:1.055*Math.pow(t,1/2.4)-.055)}function $e(t){return(t/=255)<=.04045?t/12.92:Math.pow((t+.055)/1.055,2.4)}function tr(t){var e=$e(t.r),r=$e(t.g),n=$e(t.b),i=Je((.4124564*e+.3575761*r+.1804375*n)/.95047),a=Je((.2126729*e+.7151522*r+.072175*n)/1);return{l:116*a-16,a:500*(i-a),b:200*(a-Je((.0193339*e+.119192*r+.9503041*n)/1.08883)),alpha:t.a}}function er(t){var e=(t.l+16)/116,r=isNaN(t.a)?e:e+t.a/500,n=isNaN(t.b)?e:e-t.b/200;return e=1*Ke(e),r=.95047*Ke(r),n=1.08883*Ke(n),new te(Qe(3.2404542*r-1.5371385*e-.4985314*n),Qe(-.969266*r+1.8760108*e+.041556*n),Qe(.0556434*r-.2040259*e+1.0572252*n),t.alpha)}function rr(t,e,r){var n=e-t;return t+r*(n>180||n<-180?n-360*Math.round(n/360):n)}var nr={forward:tr,reverse:er,interpolate:function(t,e,r){return{l:qe(t.l,e.l,r),a:qe(t.a,e.a,r),b:qe(t.b,e.b,r),alpha:qe(t.alpha,e.alpha,r)}}},ir={forward:function(t){var e=tr(t),r=e.l,n=e.a,i=e.b,a=Math.atan2(i,n)*Ze;return{h:a<0?a+360:a,c:Math.sqrt(n*n+i*i),l:r,alpha:t.a}},reverse:function(t){var e=t.h*Xe,r=t.c;return er({l:t.l,a:Math.cos(e)*r,b:Math.sin(e)*r,alpha:t.alpha})},interpolate:function(t,e,r){return{h:rr(t.h,e.h,r),c:qe(t.c,e.c,r),l:qe(t.l,e.l,r),alpha:qe(t.alpha,e.alpha,r)}}},ar=Object.freeze({__proto__:null,lab:nr,hcl:ir}),or=function(t,e,r,n,i){this.type=t,this.operator=e,this.interpolation=r,this.input=n,this.labels=[],this.outputs=[];for(var a=0,o=i;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1];this.labels.push(l),this.outputs.push(c)}};function sr(t,e,r,n){var i=n-r,a=t-r;return 0===i?0:1===e?a/i:(Math.pow(e,a)-1)/(Math.pow(e,i)-1)}or.interpolationFactor=function(t,e,n,i){var a=0;if(\"exponential\"===t.name)a=sr(e,t.base,n,i);else if(\"linear\"===t.name)a=sr(e,1,n,i);else if(\"cubic-bezier\"===t.name){var o=t.controlPoints;a=new r(o[0],o[1],o[2],o[3]).solve(sr(e,1,n,i))}return a},or.parse=function(t,e){var r=t[0],n=t[1],i=t[2],a=t.slice(3);if(!Array.isArray(n)||0===n.length)return e.error(\"Expected an interpolation type expression.\",1);if(\"linear\"===n[0])n={name:\"linear\"};else if(\"exponential\"===n[0]){var o=n[1];if(\"number\"!=typeof o)return e.error(\"Exponential interpolation requires a numeric base.\",1,1);n={name:\"exponential\",base:o}}else{if(\"cubic-bezier\"!==n[0])return e.error(\"Unknown interpolation type \"+String(n[0]),1,0);var s=n.slice(1);if(4!==s.length||s.some((function(t){return\"number\"!=typeof t||t<0||t>1})))return e.error(\"Cubic bezier interpolation requires four numeric arguments with values between 0 and 1.\",1);n={name:\"cubic-bezier\",controlPoints:s}}if(t.length-1<4)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if((t.length-1)%2!=0)return e.error(\"Expected an even number of arguments.\");if(!(i=e.parse(i,2,Bt)))return null;var l=[],c=null;\"interpolate-hcl\"===r||\"interpolate-lab\"===r?c=Ut:e.expectedType&&\"value\"!==e.expectedType.kind&&(c=e.expectedType);for(var u=0;u<a.length;u+=2){var f=a[u],h=a[u+1],p=u+3,d=u+4;if(\"number\"!=typeof f)return e.error('Input/output pairs for 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a=Ve(e,n),o=e[a],s=e[a+1],l=or.interpolationFactor(this.interpolation,n,o,s),c=r[a].evaluate(t),u=r[a+1].evaluate(t);return\"interpolate\"===this.operator?Ge[this.type.kind.toLowerCase()](c,u,l):\"interpolate-hcl\"===this.operator?ir.reverse(ir.interpolate(ir.forward(c),ir.forward(u),l)):nr.reverse(nr.interpolate(nr.forward(c),nr.forward(u),l))},or.prototype.eachChild=function(t){t(this.input);for(var e=0,r=this.outputs;e<r.length;e+=1){t(r[e])}},or.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))},or.prototype.serialize=function(){var t;t=\"linear\"===this.interpolation.name?[\"linear\"]:\"exponential\"===this.interpolation.name?1===this.interpolation.base?[\"linear\"]:[\"exponential\",this.interpolation.base]:[\"cubic-bezier\"].concat(this.interpolation.controlPoints);for(var e=[this.operator,t,this.input.serialize()],r=0;r<this.labels.length;r++)e.push(this.labels[r],this.outputs[r].serialize());return e};var lr=function(t,e){this.type=t,this.args=e};lr.parse=function(t,e){if(t.length<2)return e.error(\"Expectected at least one argument.\");var r=null,n=e.expectedType;n&&\"value\"!==n.kind&&(r=n);for(var i=[],a=0,o=t.slice(1);a<o.length;a+=1){var s=o[a],l=e.parse(s,1+i.length,r,void 0,{typeAnnotation:\"omit\"});if(!l)return null;r=r||l.type,i.push(l)}var c=n&&i.some((function(t){return Jt(n,t.type)}));return new lr(c?Ht:r,i)},lr.prototype.evaluate=function(t){for(var e,r=null,n=0,i=0,a=this.args;i<a.length;i+=1){if(n++,(r=a[i].evaluate(t))&&r instanceof ie&&!r.available&&(e||(e=r.name),r=null,n===this.args.length&&(r=e)),null!==r)break}return r},lr.prototype.eachChild=function(t){this.args.forEach(t)},lr.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},lr.prototype.serialize=function(){var t=[\"coalesce\"];return this.eachChild((function(e){t.push(e.serialize())})),t};var cr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};cr.prototype.evaluate=function(t){return this.result.evaluate(t)},cr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1){t(r[e][1])}t(this.result)},cr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new cr(r,o):null},cr.prototype.outputDefined=function(){return this.result.outputDefined()},cr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return t.push(this.result.serialize()),t};var ur=function(t,e,r){this.type=t,this.index=e,this.input=r};ur.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Bt),n=e.parse(t[2],2,Wt(e.expectedType||Ht));if(!r||!n)return null;var i=n.type;return new ur(i.itemType,r,n)},ur.prototype.evaluate=function(t){var e=this.index.evaluate(t),r=this.input.evaluate(t);if(e<0)throw new ue(\"Array index out of bounds: \"+e+\" < 0.\");if(e>=r.length)throw new ue(\"Array index out of bounds: \"+e+\" > \"+(r.length-1)+\".\");if(e!==Math.floor(e))throw new ue(\"Array index must be an integer, but found \"+e+\" instead.\");return r[e]},ur.prototype.eachChild=function(t){t(this.index),t(this.input)},ur.prototype.outputDefined=function(){return!1},ur.prototype.serialize=function(){return[\"at\",this.index.serialize(),this.input.serialize()]};var fr=function(t,e){this.type=jt,this.needle=t,this.haystack=e};fr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);return r&&n?Kt(r.type,[jt,Nt,Bt,Ft,Ht])?new fr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\"):null},fr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");return r.indexOf(e)>=0},fr.prototype.eachChild=function(t){t(this.needle),t(this.haystack)},fr.prototype.outputDefined=function(){return!0},fr.prototype.serialize=function(){return[\"in\",this.needle.serialize(),this.haystack.serialize()]};var hr=function(t,e,r){this.type=Bt,this.needle=t,this.haystack=e,this.fromIndex=r};hr.parse=function(t,e){if(t.length<=2||t.length>=5)return e.error(\"Expected 3 or 4 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Ht),n=e.parse(t[2],2,Ht);if(!r||!n)return null;if(!Kt(r.type,[jt,Nt,Bt,Ft,Ht]))return e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(r.type)+\" instead\");if(4===t.length){var i=e.parse(t[3],3,Bt);return i?new hr(r,n,i):null}return new hr(r,n)},hr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!Qt(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ue(\"Expected first argument to be of type boolean, string, number or null, but found \"+Xt(se(e))+\" instead.\");if(!Qt(r,[\"string\",\"array\"]))throw new ue(\"Expected second argument to be of type array or string, but found \"+Xt(se(r))+\" instead.\");if(this.fromIndex){var n=this.fromIndex.evaluate(t);return r.indexOf(e,n)}return r.indexOf(e)},hr.prototype.eachChild=function(t){t(this.needle),t(this.haystack),this.fromIndex&&t(this.fromIndex)},hr.prototype.outputDefined=function(){return!1},hr.prototype.serialize=function(){if(null!=this.fromIndex&&void 0!==this.fromIndex){var t=this.fromIndex.serialize();return[\"index-of\",this.needle.serialize(),this.haystack.serialize(),t]}return[\"index-of\",this.needle.serialize(),this.haystack.serialize()]};var pr=function(t,e,r,n,i,a){this.inputType=t,this.type=e,this.input=r,this.cases=n,this.outputs=i,this.otherwise=a};pr.parse=function(t,e){if(t.length<5)return e.error(\"Expected at least 4 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=1)return e.error(\"Expected an even number of 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g?\"value\"!==d.type.kind&&e.concat(1).checkSubtype(r,d.type)?null:new pr(r,n,d,i,a,g):null},pr.prototype.evaluate=function(t){var e=this.input.evaluate(t);return(se(e)===this.inputType&&this.outputs[this.cases[e]]||this.otherwise).evaluate(t)},pr.prototype.eachChild=function(t){t(this.input),this.outputs.forEach(t),t(this.otherwise)},pr.prototype.outputDefined=function(){return this.outputs.every((function(t){return t.outputDefined()}))&&this.otherwise.outputDefined()},pr.prototype.serialize=function(){for(var t=this,e=[\"match\",this.input.serialize()],r=[],n={},i=0,a=Object.keys(this.cases).sort();i<a.length;i+=1){var o=a[i];void 0===(f=n[this.cases[o]])?(n[this.cases[o]]=r.length,r.push([this.cases[o],[o]])):r[f][1].push(o)}for(var s=function(e){return\"number\"===t.inputType.kind?Number(e):e},l=0,c=r;l<c.length;l+=1){var u=c[l],f=u[0],h=u[1];1===h.length?e.push(s(h[0])):e.push(h.map(s)),e.push(this.outputs[outputIndex$1].serialize())}return e.push(this.otherwise.serialize()),e};var dr=function(t,e,r){this.type=t,this.branches=e,this.otherwise=r};dr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found only \"+(t.length-1)+\".\");if(t.length%2!=0)return e.error(\"Expected an odd number of arguments.\");var r;e.expectedType&&\"value\"!==e.expectedType.kind&&(r=e.expectedType);for(var n=[],i=1;i<t.length-1;i+=2){var a=e.parse(t[i],i,jt);if(!a)return null;var o=e.parse(t[i+1],i+1,r);if(!o)return null;n.push([a,o]),r=r||o.type}var s=e.parse(t[t.length-1],t.length-1,r);return s?new dr(r,n,s):null},dr.prototype.evaluate=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];if(i.evaluate(t))return a.evaluate(t)}return this.otherwise.evaluate(t)},dr.prototype.eachChild=function(t){for(var e=0,r=this.branches;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t(i),t(a)}t(this.otherwise)},dr.prototype.outputDefined=function(){return this.branches.every((function(t){t[0];return 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or?a.interpolation:void 0;return Ir(new Zr(n?\"camera\":\"composite\",t.value,a.labels,o))}Zr.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},Zr.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},Zr.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?or.interpolationFactor(this.interpolationType,t,e,r):0};var Kr=function(t,e){this._parameters=t,this._specification=e,It(this,function t(e,r){var n,i,a,o=\"color\"===r.type,s=e.stops&&\"object\"==typeof e.stops[0][0],l=s||void 0!==e.property,c=s||!l,u=e.type||(Rr(r)?\"exponential\":\"interval\");if(o&&((e=It({},e)).stops&&(e.stops=e.stops.map((function(t){return[t[0],te.parse(t[1])]}))),e.default?e.default=te.parse(e.default):e.default=te.parse(r.default)),e.colorSpace&&\"rgb\"!==e.colorSpace&&!ar[e.colorSpace])throw new Error(\"Unknown color space: 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n&&r<n.minimum?[new Ct(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Ct(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function en(t){var e,r,n,i=t.valueSpec,a=Ot(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,c=\"array\"===Fr(t.value.stops)&&\"array\"===Fr(t.value.stops[0])&&\"object\"===Fr(t.value.stops[0][0]),u=Qr({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Ct(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;e=e.concat($r({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Fr(r)&&0===r.length&&e.push(new Ct(t.key,r,\"array must have at least one stop\"));return e},default:function(t){return kn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&u.push(new Ct(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||u.push(new Ct(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Rr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!zr(t.valueSpec)?u.push(new Ct(t.key,t.value,\"property functions not supported\")):s&&!Dr(t.valueSpec)&&u.push(new Ct(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!c||void 0!==t.value.property||u.push(new Ct(t.key,t.value,'\"property\" property is required')),u;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Fr(a))return[new Ct(s,a,\"array expected, \"+Fr(a)+\" found\")];if(2!==a.length)return[new Ct(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(c){if(\"object\"!==Fr(a[0]))return[new Ct(s,a,\"object expected, \"+Fr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Ct(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Ct(s,a,\"object stop key must have value\")];if(n&&n>Ot(a[0].zoom))return[new Ct(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ot(a[0].zoom)!==n&&(n=Ot(a[0].zoom),r=void 0,o={}),e=e.concat(Qr({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:tn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return Yr(zt(a[1]))?e.concat([new Ct(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(kn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Fr(t.value),l=Ot(t.value),c=null!==t.value?t.value:n;if(e){if(s!==e)return[new Ct(t.key,c,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Ct(t.key,c,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var u=\"number expected, \"+s+\" found\";return zr(i)&&void 0===a&&(u+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Ct(t.key,c,u)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Ct(t.key,c,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Ct(t.key,c,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Ct(t.key,c,\"integer expected, found \"+l)]}}function rn(t){var e=(\"property\"===t.expressionContext?Jr:Wr)(zt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Ct(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Ct(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Be(r))return[new Ct(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ne(r,[\"zoom\",\"feature-state\"]))return[new Ct(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Fe(r))return[new Ct(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function nn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ot(r))&&i.push(new Ct(e,r,\"expected one of [\"+n.values.join(\", \")+\"], 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on={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function sn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};an(t)||(t=cn(t));var e=Wr(t,on);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:function t(e){if(!Array.isArray(e))return!1;if(\"within\"===e[0])return!0;for(var r=1;r<e.length;r++)if(t(e[r]))return!0;return!1}(t)}}function ln(t,e){return t<e?-1:t>e?1:0}function cn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?un(t[1],t[2],\"==\"):\"!=\"===r?pn(un(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?un(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(cn))):\"all\"===r?[\"all\"].concat(t.slice(1).map(cn)):\"none\"===r?[\"all\"].concat(t.slice(1).map(cn).map(pn)):\"in\"===r?fn(t[1],t.slice(2)):\"!in\"===r?pn(fn(t[1],t.slice(2))):\"has\"===r?hn(t[1]):\"!has\"===r?pn(hn(t[1])):\"within\"!==r||t}function un(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function fn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(ln)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function hn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function pn(t){return[\"!\",t]}function dn(t){return an(zt(t.value))?rn(It({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):function t(e){var r=e.value,n=e.key;if(\"array\"!==Fr(r))return[new Ct(n,r,\"array expected, \"+Fr(r)+\" found\")];var i,a=e.styleSpec,o=[];if(r.length<1)return[new Ct(n,r,\"filter array must have at least 1 element\")];switch(o=o.concat(nn({key:n+\"[0]\",value:r[0],valueSpec:a.filter_operator,style:e.style,styleSpec:e.styleSpec})),Ot(r[0])){case\"<\":case\"<=\":case\">\":case\">=\":r.length>=2&&\"$type\"===Ot(r[1])&&o.push(new Ct(n,r,'\"$type\" cannot be use with operator \"'+r[0]+'\"'));case\"==\":case\"!=\":3!==r.length&&o.push(new Ct(n,r,'filter array for operator \"'+r[0]+'\" must have 3 elements'));case\"in\":case\"!in\":r.length>=2&&\"string\"!==(i=Fr(r[1]))&&o.push(new Ct(n+\"[1]\",r[1],\"string expected, \"+i+\" 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r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return kn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var c,u=t.valueSpec||s[o];if(!u)return[new Ct(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Fr(a)&&zr(u)&&!u.tokens&&(c=/^{([^}]+)}$/.exec(a)))return[new Ct(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(c[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Ct(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Br(zt(a))&&\"identity\"===Ot(a.type)&&f.push(new Ct(r,a,'\"text-font\" does not support identity 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Kr(t,e);if(Yr(t)){var r=Jr(t,e);if(\"error\"===r.result)throw new Error(r.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return r.value}var n=t;return\"string\"==typeof t&&\"color\"===e.type&&(n=te.parse(t)),{kind:\"constant\",evaluate:function(){return n}}}(void 0===e?t.specification.default:e,t.specification)};di.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},di.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var gi=function(t){this.property=t,this.value=new di(t,void 0)};gi.prototype.transitioned=function(t,e){return new vi(this.property,this.value,e,u({},t.transition,this.transition),t.now)},gi.prototype.untransitioned=function(){return new vi(this.property,this.value,null,{},0)};var mi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};mi.prototype.getValue=function(t){return x(this._values[t].value.value)},mi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new gi(this._values[t].property)),this._values[t].value=new di(this._values[t].property,null===e?void 0:x(e))},mi.prototype.getTransition=function(t){return x(this._values[t].transition)},mi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new gi(this._values[t].property)),this._values[t].transition=x(e)||void 0},mi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},mi.prototype.transitioned=function(t,e){for(var r=new yi(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},mi.prototype.untransitioned=function(){for(var t=new yi(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var vi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};vi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var yi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};yi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},yi.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var xi=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};xi.prototype.getValue=function(t){return x(this._values[t].value)},xi.prototype.setValue=function(t,e){this._values[t]=new di(this._values[t].property,null===e?void 0:x(e))},xi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},xi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new _i(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var bi=function(t,e,r){this.property=t,this.value=e,this.parameters=r};bi.prototype.isConstant=function(){return\"constant\"===this.value.kind},bi.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},bi.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var _i=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};_i.prototype.get=function(t){return this._values[t]};var wi=function(t){this.specification=t};wi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},wi.prototype.interpolate=function(t,e,r){var n=Ge[this.specification.type];return n?n(t,e,r):t};var Ti=function(t,e){this.specification=t,this.overrides=e};Ti.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new bi(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new bi(this,t.expression,e)},Ti.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new bi(this,{kind:\"constant\",value:void 0},t.parameters);var n=Ge[this.specification.type];return n?new bi(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Ti.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new bi(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new bi(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new bi(this,{kind:\"constant\",value:s},e)}return new bi(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Ti),Ai=function(t){this.specification=t};Ai.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new pi(Math.floor(e.zoom-1),e)),t.expression.evaluate(new pi(Math.floor(e.zoom),e)),t.expression.evaluate(new pi(Math.floor(e.zoom+1),e)),e)}},Ai.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ai.prototype.interpolate=function(t){return t};var Mi=function(t){this.specification=t};Mi.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},Mi.prototype.interpolate=function(){return!1};var Si=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new di(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new gi(r);this.defaultTransitioningPropertyValues[e]=i.untransitioned(),this.defaultPossiblyEvaluatedValues[e]=n.possiblyEvaluate({})}};Nn(\"DataDrivenProperty\",Ti),Nn(\"DataConstantProperty\",wi),Nn(\"CrossFadedDataDrivenProperty\",ki),Nn(\"CrossFadedProperty\",Ai),Nn(\"ColorRampProperty\",Mi);var Ei=function(t){function e(e,r){if(t.call(this),this.id=e.id,this.type=e.type,this._featureFilter={filter:function(){return!0},needGeometry:!1},\"custom\"!==e.type&&(e=e,this.metadata=e.metadata,this.minzoom=e.minzoom,this.maxzoom=e.maxzoom,\"background\"!==e.type&&(this.source=e.source,this.sourceLayer=e[\"source-layer\"],this.filter=e.filter),r.layout&&(this._unevaluatedLayout=new xi(r.layout)),r.paint)){for(var n in this._transitionablePaint=new mi(r.paint),e.paint)this.setPaintProperty(n,e.paint[n],{validate:!1});for(var i in e.layout)this.setLayoutProperty(i,e.layout[i],{validate:!1});this._transitioningPaint=this._transitionablePaint.untransitioned(),this.paint=new _i(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate(In,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return m(t,\"-transition\")?this._transitionablePaint.getTransition(t.slice(0,-\"-transition\".length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Pn,n,t,e,r))return!1}if(m(t,\"-transition\"))return this._transitionablePaint.setTransition(t.slice(0,-\"-transition\".length),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||(!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility)},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),y(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&On(this,t.call(Ln,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Lt,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof bi&&zr(e.property.specification)&&((\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent))return!0}return!1},e}(Et),Li={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},Ci=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Pi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function Ii(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Li[i].BYTES_PER_ELEMENT),o=r=Oi(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:Oi(r,Math.max(n,e)),alignment:e}}function Oi(t,e){return Math.ceil(t/e)*e}Pi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Pi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Pi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Pi.prototype.clear=function(){this.length=0},Pi.prototype.resize=function(t){this.reserve(t),this.length=t},Pi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Pi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Pi);zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2i4\",zi);var Di=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.int16[a+0]=e,this.int16[a+1]=r,this.int16[a+2]=n,this.int16[a+3]=i,t},e}(Pi);Di.prototype.bytesPerElement=8,Nn(\"StructArrayLayout4i8\",Di);var Ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Ri.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i4i12\",Ri);var Fi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Pi);Fi.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2i4ub8\",Fi);var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c){var u=this.length;return this.resize(u+1),this.emplace(u,t,e,r,n,i,a,o,s,l,c)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=c,this.uint8[h+17]=u,t},e}(Pi);Bi.prototype.bytesPerElement=18,Nn(\"StructArrayLayout8ui2ub18\",Bi);var Ni=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f){var h=this.length;return this.resize(h+1),this.emplace(h,t,e,r,n,i,a,o,s,l,c,u,f)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=12*t;return this.int16[p+0]=e,this.int16[p+1]=r,this.int16[p+2]=n,this.int16[p+3]=i,this.uint16[p+4]=a,this.uint16[p+5]=o,this.uint16[p+6]=s,this.uint16[p+7]=l,this.int16[p+8]=c,this.int16[p+9]=u,this.int16[p+10]=f,this.int16[p+11]=h,t},e}(Pi);Ni.prototype.bytesPerElement=24,Nn(\"StructArrayLayout4i4ui4i24\",Ni);var ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.float32[i+0]=e,this.float32[i+1]=r,this.float32[i+2]=n,t},e}(Pi);ji.prototype.bytesPerElement=12,Nn(\"StructArrayLayout3f12\",ji);var Ui=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint32[r+0]=e,t},e}(Pi);Ui.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1ul4\",Ui);var Vi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c){var u=10*t,f=5*t;return this.int16[u+0]=e,this.int16[u+1]=r,this.int16[u+2]=n,this.int16[u+3]=i,this.int16[u+4]=a,this.int16[u+5]=o,this.uint32[f+3]=s,this.uint16[u+8]=l,this.uint16[u+9]=c,t},e}(Pi);Vi.prototype.bytesPerElement=20,Nn(\"StructArrayLayout6i1ul2ui20\",Vi);var Hi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=6*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Pi);Hi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2i2i2i12\",Hi);var qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i){var a=this.length;return this.resize(a+1),this.emplace(a,t,e,r,n,i)},e.prototype.emplace=function(t,e,r,n,i,a){var o=4*t,s=8*t;return this.float32[o+0]=e,this.float32[o+1]=r,this.float32[o+2]=n,this.int16[s+6]=i,this.int16[s+7]=a,t},e}(Pi);qi.prototype.bytesPerElement=16,Nn(\"StructArrayLayout2f1f2i16\",qi);var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=12*t,o=3*t;return this.uint8[a+0]=e,this.uint8[a+1]=r,this.float32[o+1]=n,this.float32[o+2]=i,t},e}(Pi);Gi.prototype.bytesPerElement=12,Nn(\"StructArrayLayout2ub2f12\",Gi);var Yi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.uint16[i+0]=e,this.uint16[i+1]=r,this.uint16[i+2]=n,t},e}(Pi);Yi.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3ui6\",Yi);var Wi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m){var v=this.length;return this.resize(v+1),this.emplace(v,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v){var y=24*t,x=12*t,b=48*t;return this.int16[y+0]=e,this.int16[y+1]=r,this.uint16[y+2]=n,this.uint16[y+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[y+10]=l,this.uint16[y+11]=c,this.uint16[y+12]=u,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=g,this.uint32[x+10]=m,this.int16[y+22]=v,t},e}(Pi);Wi.prototype.bytesPerElement=48,Nn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",Wi);var Xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S){var E=this.length;return this.resize(E+1),this.emplace(E,t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S,E){var L=34*t,C=17*t;return this.int16[L+0]=e,this.int16[L+1]=r,this.int16[L+2]=n,this.int16[L+3]=i,this.int16[L+4]=a,this.int16[L+5]=o,this.int16[L+6]=s,this.int16[L+7]=l,this.uint16[L+8]=c,this.uint16[L+9]=u,this.uint16[L+10]=f,this.uint16[L+11]=h,this.uint16[L+12]=p,this.uint16[L+13]=d,this.uint16[L+14]=g,this.uint16[L+15]=m,this.uint16[L+16]=v,this.uint16[L+17]=y,this.uint16[L+18]=x,this.uint16[L+19]=b,this.uint16[L+20]=_,this.uint16[L+21]=w,this.uint16[L+22]=T,this.uint32[C+12]=k,this.float32[C+13]=A,this.float32[C+14]=M,this.float32[C+15]=S,this.float32[C+16]=E,t},e}(Pi);Xi.prototype.bytesPerElement=68,Nn(\"StructArrayLayout8i15ui1ul4f68\",Xi);var Zi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.float32[r+0]=e,t},e}(Pi);Zi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout1f4\",Zi);var Ji=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=3*t;return this.int16[i+0]=e,this.int16[i+1]=r,this.int16[i+2]=n,t},e}(Pi);Ji.prototype.bytesPerElement=6,Nn(\"StructArrayLayout3i6\",Ji);var Ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r){var n=this.length;return this.resize(n+1),this.emplace(n,t,e,r)},e.prototype.emplace=function(t,e,r,n){var i=2*t,a=4*t;return this.uint32[i+0]=e,this.uint16[a+2]=r,this.uint16[a+3]=n,t},e}(Pi);Ki.prototype.bytesPerElement=8,Nn(\"StructArrayLayout1ul2ui8\",Ki);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.uint16[n+0]=e,this.uint16[n+1]=r,t},e}(Pi);Qi.prototype.bytesPerElement=4,Nn(\"StructArrayLayout2ui4\",Qi);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t){var e=this.length;return this.resize(e+1),this.emplace(e,t)},e.prototype.emplace=function(t,e){var r=1*t;return this.uint16[r+0]=e,t},e}(Pi);$i.prototype.bytesPerElement=2,Nn(\"StructArrayLayout1ui2\",$i);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Pi);ta.prototype.bytesPerElement=8,Nn(\"StructArrayLayout2f8\",ta);var ea=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Pi);ea.prototype.bytesPerElement=16,Nn(\"StructArrayLayout4f16\",ea);var ra=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new i(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Ci);ra.prototype.size=20;var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ra(this,t)},e}(Vi);Nn(\"CollisionBoxArray\",na);var ia=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},glyphStartIndex:{configurable:!0},numGlyphs:{configurable:!0},vertexStartIndex:{configurable:!0},lineStartIndex:{configurable:!0},lineLength:{configurable:!0},segment:{configurable:!0},lowerSize:{configurable:!0},upperSize:{configurable:!0},lineOffsetX:{configurable:!0},lineOffsetY:{configurable:!0},writingMode:{configurable:!0},placedOrientation:{configurable:!0},hidden:{configurable:!0},crossTileID:{configurable:!0},associatedIconIndex:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.glyphStartIndex.get=function(){return this._structArray.uint16[this._pos2+2]},r.numGlyphs.get=function(){return this._structArray.uint16[this._pos2+3]},r.vertexStartIndex.get=function(){return this._structArray.uint32[this._pos4+2]},r.lineStartIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.lineLength.get=function(){return this._structArray.uint32[this._pos4+4]},r.segment.get=function(){return this._structArray.uint16[this._pos2+10]},r.lowerSize.get=function(){return this._structArray.uint16[this._pos2+11]},r.upperSize.get=function(){return this._structArray.uint16[this._pos2+12]},r.lineOffsetX.get=function(){return this._structArray.float32[this._pos4+7]},r.lineOffsetY.get=function(){return this._structArray.float32[this._pos4+8]},r.writingMode.get=function(){return this._structArray.uint8[this._pos1+36]},r.placedOrientation.get=function(){return this._structArray.uint8[this._pos1+37]},r.placedOrientation.set=function(t){this._structArray.uint8[this._pos1+37]=t},r.hidden.get=function(){return this._structArray.uint8[this._pos1+38]},r.hidden.set=function(t){this._structArray.uint8[this._pos1+38]=t},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+10]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+10]=t},r.associatedIconIndex.get=function(){return this._structArray.int16[this._pos2+22]},Object.defineProperties(e.prototype,r),e}(Ci);ia.prototype.size=48;var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ia(this,t)},e}(Wi);Nn(\"PlacedSymbolArray\",aa);var oa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorX:{configurable:!0},anchorY:{configurable:!0},rightJustifiedTextSymbolIndex:{configurable:!0},centerJustifiedTextSymbolIndex:{configurable:!0},leftJustifiedTextSymbolIndex:{configurable:!0},verticalPlacedTextSymbolIndex:{configurable:!0},placedIconSymbolIndex:{configurable:!0},verticalPlacedIconSymbolIndex:{configurable:!0},key:{configurable:!0},textBoxStartIndex:{configurable:!0},textBoxEndIndex:{configurable:!0},verticalTextBoxStartIndex:{configurable:!0},verticalTextBoxEndIndex:{configurable:!0},iconBoxStartIndex:{configurable:!0},iconBoxEndIndex:{configurable:!0},verticalIconBoxStartIndex:{configurable:!0},verticalIconBoxEndIndex:{configurable:!0},featureIndex:{configurable:!0},numHorizontalGlyphVertices:{configurable:!0},numVerticalGlyphVertices:{configurable:!0},numIconVertices:{configurable:!0},numVerticalIconVertices:{configurable:!0},useRuntimeCollisionCircles:{configurable:!0},crossTileID:{configurable:!0},textBoxScale:{configurable:!0},textOffset0:{configurable:!0},textOffset1:{configurable:!0},collisionCircleDiameter:{configurable:!0}};return r.anchorX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorY.get=function(){return this._structArray.int16[this._pos2+1]},r.rightJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+2]},r.centerJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+3]},r.leftJustifiedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+4]},r.verticalPlacedTextSymbolIndex.get=function(){return this._structArray.int16[this._pos2+5]},r.placedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+6]},r.verticalPlacedIconSymbolIndex.get=function(){return this._structArray.int16[this._pos2+7]},r.key.get=function(){return this._structArray.uint16[this._pos2+8]},r.textBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.textBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+10]},r.verticalTextBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return this._structArray.uint16[this._pos2+22]},r.crossTileID.get=function(){return this._structArray.uint32[this._pos4+12]},r.crossTileID.set=function(t){this._structArray.uint32[this._pos4+12]=t},r.textBoxScale.get=function(){return this._structArray.float32[this._pos4+13]},r.textOffset0.get=function(){return this._structArray.float32[this._pos4+14]},r.textOffset1.get=function(){return this._structArray.float32[this._pos4+15]},r.collisionCircleDiameter.get=function(){return this._structArray.float32[this._pos4+16]},Object.defineProperties(e.prototype,r),e}(Ci);oa.prototype.size=68;var sa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new oa(this,t)},e}(Xi);Nn(\"SymbolInstanceArray\",sa);var la=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getoffsetX=function(t){return this.float32[1*t+0]},e}(Zi);Nn(\"GlyphOffsetArray\",la);var ca=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getx=function(t){return this.int16[3*t+0]},e.prototype.gety=function(t){return this.int16[3*t+1]},e.prototype.gettileUnitDistanceFromAnchor=function(t){return this.int16[3*t+2]},e}(Ji);Nn(\"SymbolLineVertexArray\",ca);var ua=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0}};return r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+0]},r.sourceLayerIndex.get=function(){return 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t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof bi&&zr(o.property.specification)){var s=Va(a,t.type),l=o.value,c=o.property.specification.type,u=o.property.useIntegerZoom,f=o.property.specification[\"property-type\"],h=\"cross-faded\"===f||\"cross-faded-data-driven\"===f;if(\"constant\"===l.kind)this.binders[a]=h?new Ra(l.value,s):new Da(l.value,s,c),i.push(\"/u_\"+a);else if(\"source\"===l.kind||h){var p=Ha(a,c,\"source\");this.binders[a]=h?new Na(l,c,u,e,p,t.id):new Fa(l,s,c,p),i.push(\"/a_\"+a)}else{var d=Ha(a,c,\"composite\");this.binders[a]=new Ba(l,s,c,u,e,d),i.push(\"/z_\"+a)}}}this.cacheKey=i.sort().join(\"\")};ja.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Fa||e instanceof Ba?e.maxValue:0},ja.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof Fa||o instanceof Ba||o instanceof Na)&&o.populatePaintArray(t,e,r,n,i)}},ja.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof Ra&&n.setConstantPatternPositions(t,e)}},ja.prototype.updatePaintArrays=function(t,e,r,n,i){var a=!1;for(var o in t)for(var s=0,l=e.getPositions(o);s<l.length;s+=1){var c=l[s],u=r.feature(c.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof Fa||h instanceof Ba||h instanceof Na)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(c.start,c.end,u,t[o],i),a=!0}}}return a},ja.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof Da||r instanceof Ra)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},ja.prototype.getPaintVertexBuffers=function(){return this._buffers},ja.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof Da||i instanceof Ra||i instanceof Ba)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},ja.prototype.setUniforms=function(t,e,r,n){for(var i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.name,l=o.property,c=o.binding;this.binders[l].setUniform(c,n,r.get(l),s)}},ja.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof Na){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Fa||r instanceof Ba)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},ja.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Fa||r instanceof Ba||r instanceof Na)&&r.upload(t)}this.updatePaintBuffers()},ja.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Fa||e instanceof Ba||e instanceof Na)&&e.destroy()}};var Ua=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new ja(o,r,n,t)}this.needsUpload=!1,this._featureMap=new _a,this._bufferOffset=0};function Va(t,e){return{\"text-opacity\":[\"opacity\"],\"icon-opacity\":[\"opacity\"],\"text-color\":[\"fill_color\"],\"icon-color\":[\"fill_color\"],\"text-halo-color\":[\"halo_color\"],\"icon-halo-color\":[\"halo_color\"],\"text-halo-blur\":[\"halo_blur\"],\"icon-halo-blur\":[\"halo_blur\"],\"text-halo-width\":[\"halo_width\"],\"icon-halo-width\":[\"halo_width\"],\"line-gap-width\":[\"gapwidth\"],\"line-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"],\"fill-extrusion-pattern\":[\"pattern_to\",\"pattern_from\",\"pixel_ratio_to\",\"pixel_ratio_from\"]}[t]||[t.replace(e+\"-\",\"\").replace(/-/g,\"_\")]}function Ha(t,e,r){var n={color:{source:ta,composite:ea},number:{source:Zi,composite:ta}},i=function(t){return{\"line-pattern\":{source:Bi,composite:Bi},\"fill-pattern\":{source:Bi,composite:Bi},\"fill-extrusion-pattern\":{source:Bi,composite:Bi}}[t]}(t);return 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c=t.readVarint();n=7&c,a=c>>3}if(a--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new i(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},ws.prototype.bbox=function(){var t=this._pbf;t.pos=this._geometry;for(var e=t.readVarint()+t.pos,r=1,n=0,i=0,a=0,o=1/0,s=-1/0,l=1/0,c=-1/0;t.pos<e;){if(n<=0){var u=t.readVarint();r=7&u,n=u>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>c&&(c=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,c]},ws.prototype.toGeoJSON=function(t,e,r){var n,i,a=this.extent*Math.pow(2,r),o=this.extent*t,s=this.extent*e,l=this.loadGeometry(),c=ws.types[this.type];function u(t){for(var e=0;e<t.length;e++){var r=t[e],n=180-360*(r.y+s)/a;t[e]=[360*(r.x+o)/a-180,360/Math.PI*Math.atan(Math.exp(n*Math.PI/180))-90]}}switch(this.type){case 1:var f=[];for(n=0;n<l.length;n++)f[n]=l[n][0];u(l=f);break;case 2:for(n=0;n<l.length;n++)u(l[n]);break;case 3:for(l=function(t){var e=t.length;if(e<=1)return[t];for(var r,n,i=[],a=0;a<e;a++){var o=ks(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}r&&i.push(r);return i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)u(l[n][i])}1===l.length?l=l[0]:c=\"Multi\"+c;var h={type:\"Feature\",geometry:{type:c,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var As=Ms;function Ms(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields(Ss,this,e),this.length=this._features.length}function Ss(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){var e=null,r=t.readVarint()+t.pos;for(;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Es(t,e,r){if(3===t){var n=new As(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Ms.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new _s(this._pbf,e,this.extent,this._keys,this._values)};var Ls={VectorTile:function(t,e){this.layers=t.readFields(Es,{},e)},VectorTileFeature:_s,VectorTileLayer:As},Cs=Ls.VectorTileFeature.types,Ps=Math.pow(2,13);function Is(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ps)+o,i*Ps*2,a*Ps*2,Math.round(s))}var Os=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new Ri,this.indexArray=new Yi,this.programConfigurations=new Ua(bs,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function zs(t,e){return t.x===e.x&&(t.x<0||t.x>8192)||t.y===e.y&&(t.y<0||t.y>8192)}function Ds(t){return t.every((function(t){return t.x<0}))||t.every((function(t){return t.x>8192}))||t.every((function(t){return t.y<0}))||t.every((function(t){return t.y>8192}))}Os.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=ds(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,c=a.sourceLayerIndex,u=this.layers[0]._featureFilter.needGeometry,f={type:o.type,id:s,properties:o.properties,geometry:u?Ya(o):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:c,index:l,geometry:u?f.geometry:Ya(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(gs(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,c,this.index,!0)}}},Os.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},Os.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Os.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Os.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Os.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,bs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Os.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Os.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=hs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,c=0,u=s;c<u.length;c+=1){l+=u[c].length}for(var f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray),h=0,p=s;h<p.length;h+=1){var d=p[h];if(0!==d.length&&!Ds(d))for(var g=0,m=0;m<d.length;m++){var v=d[m];if(m>=1){var y=d[m-1];if(!zs(v,y)){f.vertexLength+4>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=v.sub(y)._perp()._unit(),b=y.dist(v);g+b>32768&&(g=0),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,0,g),Is(this.layoutVertexArray,v.x,v.y,x.x,x.y,0,1,g),g+=b,Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,g),Is(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,g);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>pa.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Cs[t.type]){for(var w=[],T=[],k=f.vertexLength,A=0,M=s;A<M.length;A+=1){var S=M[A];if(0!==S.length){S!==s[0]&&T.push(w.length/2);for(var E=0;E<S.length;E++){var L=S[E];Is(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Do(w,T),P=0;P<C.length;P+=3)this.indexArray.emplaceBack(k+C[P],k+C[P+2],k+C[P+1]);f.primitiveLength+=C.length/3,f.vertexLength+=l}}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},Nn(\"FillExtrusionBucket\",Os,{omit:[\"layers\",\"features\"]});var Rs={paint:new Si({\"fill-extrusion-opacity\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new ki(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Ti(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new wi(Lt[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},Fs=function(t){function e(e){t.call(this,e,Rs)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Os(t)},e.prototype.queryRadius=function(){return so(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,a,o,s,l){var c=lo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),u=this.paint.get(\"fill-extrusion-height\").evaluate(e,r),f=this.paint.get(\"fill-extrusion-base\").evaluate(e,r),h=function(t,e,r,n){for(var a=[],o=0,s=t;o<s.length;o+=1){var l=s[o],c=[l.x,l.y,n,1];xo(c,c,e),a.push(new i(c[0]/c[3],c[1]/c[3]))}return a}(c,l,0,0),p=function(t,e,r,n){for(var a=[],o=[],s=n[8]*e,l=n[9]*e,c=n[10]*e,u=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,g=0,m=t;g<m.length;g+=1){for(var v=m[g],y=[],x=[],b=0,_=v;b<_.length;b+=1){var w=_[b],T=w.x,k=w.y,A=n[0]*T+n[4]*k+n[12],M=n[1]*T+n[5]*k+n[13],S=n[2]*T+n[6]*k+n[14],E=n[3]*T+n[7]*k+n[15],L=S+c,C=E+u,P=A+f,I=M+h,O=S+p,z=E+d,D=new i((A+s)/C,(M+l)/C);D.z=L/C,y.push(D);var R=new i(P/z,I/z);R.z=O/z,x.push(R)}a.push(y),o.push(x)}return[a,o]}(n,f,u,l);return function(t,e,r){var n=1/0;Ka(r,e)&&(n=Ns(r,e[0]));for(var i=0;i<e.length;i++)for(var a=e[i],o=t[i],s=0;s<a.length-1;s++){var l=a[s],c=a[s+1],u=o[s],f=o[s+1],h=[l,c,f,u,l];Za(r,h)&&(n=Math.min(n,Ns(r,h)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ei);function Bs(t,e){return t.x*e.x+t.y*e.y}function Ns(t,e){if(1===t.length){for(var r,n=0,i=e[n++];!r||i.equals(r);)if(!(r=e[n++]))return 1/0;for(;n<e.length;n++){var a=e[n],o=t[0],s=r.sub(i),l=a.sub(i),c=o.sub(i),u=Bs(s,s),f=Bs(s,l),h=Bs(l,l),p=Bs(c,s),d=Bs(c,l),g=u*h-f*f,m=(h*p-f*d)/g,v=(u*d-f*p)/g,y=1-m-v,x=i.z*y+r.z*m+a.z*v;if(isFinite(x))return x}return 1/0}for(var b=1/0,_=0,w=e;_<w.length;_+=1){var T=w[_];b=Math.min(b,T.z)}return b}var js=Ii([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,Us=Ls.VectorTileFeature.types,Vs=Math.cos(Math.PI/180*37.5),Hs=Math.pow(2,14)/.5,qs=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new Fi,this.indexArray=new Yi,this.programConfigurations=new Ua(js,t.layers,t.zoom),this.segments=new pa,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};qs.prototype.populate=function(t,e,r){this.hasPattern=ds(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,c=s.id,u=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p={type:l.type,id:c,properties:l.properties,geometry:h?Ya(l):[]};if(this.layers[0]._featureFilter.filter(new pi(this.zoom),p,r)){h||(p.geometry=Ya(l));var d=n?n.evaluate(p,{},r):void 0,g={id:c,properties:l.properties,type:l.type,sourceLayerIndex:f,index:u,geometry:p.geometry,patterns:{},sortKey:d};i.push(g)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var m=0,v=i;m<v.length;m+=1){var y=v[m],x=y,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=gs(\"line\",this.layers,y,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(y,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},qs.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},qs.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.patternFeatures;n<i.length;n+=1){var a=i[n];this.addFeature(a,a.geometry,a.index,e,r)}},qs.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},qs.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},qs.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,js),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},qs.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},qs.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),c=a.get(\"line-round-limit\"),u=0,f=e;u<f.length;u+=1){var h=f[u];this.addLine(h,t,o,s,l,c)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},qs.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===Us[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var c=0;c<l-1&&t[c].equals(t[c+1]);)c++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var u,f=this.overscaling<=16?122880/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,g=void 0,m=void 0;this.e1=this.e2=-1,s&&(u=t[l-2],m=t[c].sub(u)._unit()._perp());for(var v=c;v<l;v++)if(!(d=v===l-1?s?t[c+1]:void 0:t[v+1])||!t[v].equals(d)){m&&(g=m),u&&(p=u),u=t[v],m=d?d.sub(u)._unit()._perp():g;var y=(g=g||m).add(m);0===y.x&&0===y.y||y._unit();var x=g.x*m.x+g.y*m.y,b=y.x*m.x+y.y*m.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<Vs&&p&&d,k=g.x*m.y-g.y*m.x>0;if(T&&v>c){var A=u.dist(p);if(A>2*f){var M=u.sub(u.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,g,0,0,h),p=M}}var S=p&&d,E=S?r:s?\"butt\":n;if(S&&\"round\"===E&&(_<a?E=\"miter\":_<=2&&(E=\"fakeround\")),\"miter\"===E&&_>i&&(E=\"bevel\"),\"bevel\"===E&&(_>2&&(E=\"flipbevel\"),_<i&&(E=\"miter\")),p&&this.updateDistance(p,u),\"miter\"===E)y._mult(_),this.addCurrentVertex(u,y,0,0,h);else if(\"flipbevel\"===E){if(_>100)y=m.mult(-1);else{var L=_*g.add(m).mag()/g.sub(m).mag();y._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(u,y,0,0,h),this.addCurrentVertex(u,y.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,I=k?0:C;if(p&&this.addCurrentVertex(u,g,P,I,h),\"fakeround\"===E)for(var O=Math.round(180*w/Math.PI/20),z=1;z<O;z++){var D=z/O;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=m.sub(g)._mult(D)._add(g)._unit()._mult(k?-1:1);this.addHalfVertex(u,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(u,m,-P,-I,h)}else if(\"butt\"===E)this.addCurrentVertex(u,y,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(u,y,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(u,g,0,0,h),this.addCurrentVertex(u,g,1,1,h,!0)),d&&(this.addCurrentVertex(u,m,-1,-1,h,!0),this.addCurrentVertex(u,m,0,0,h)));if(T&&v<l-1){var N=u.dist(d);if(N>2*f){var j=u.add(d.sub(u)._mult(f/N)._round());this.updateDistance(u,j),this.addCurrentVertex(j,m,0,0,h),u=j}}}}},qs.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,c=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,c,a,!0,-n,i),this.distance>Hs/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},qs.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,c=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&c)<<2,c>>6);var u=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,u),o.primitiveLength++),i?this.e2=u:this.e1=u},qs.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(Hs-1):this.distance},qs.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Nn(\"LineBucket\",qs,{omit:[\"layers\",\"patternFeatures\"]});var Gs=new Si({\"line-cap\":new wi(Lt.layout_line[\"line-cap\"]),\"line-join\":new Ti(Lt.layout_line[\"line-join\"]),\"line-miter-limit\":new wi(Lt.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new wi(Lt.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Ti(Lt.layout_line[\"line-sort-key\"])}),Ys={paint:new Si({\"line-opacity\":new Ti(Lt.paint_line[\"line-opacity\"]),\"line-color\":new Ti(Lt.paint_line[\"line-color\"]),\"line-translate\":new wi(Lt.paint_line[\"line-translate\"]),\"line-translate-anchor\":new wi(Lt.paint_line[\"line-translate-anchor\"]),\"line-width\":new Ti(Lt.paint_line[\"line-width\"]),\"line-gap-width\":new Ti(Lt.paint_line[\"line-gap-width\"]),\"line-offset\":new Ti(Lt.paint_line[\"line-offset\"]),\"line-blur\":new Ti(Lt.paint_line[\"line-blur\"]),\"line-dasharray\":new Ai(Lt.paint_line[\"line-dasharray\"]),\"line-pattern\":new ki(Lt.paint_line[\"line-pattern\"]),\"line-gradient\":new Mi(Lt.paint_line[\"line-gradient\"])}),layout:Gs},Ws=new(function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new pi(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=u({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Ti))(Ys.paint.properties[\"line-width\"].specification);Ws.useIntegerZoom=!0;var Xs=function(t){function e(e){t.call(this,e,Ys)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var 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o=t[a],s=[],l=0;l<o.length;l++){var c=o[l-1],u=o[l],f=o[l+1],h=0===l?n:u.sub(c)._unit()._perp(),p=l===o.length-1?n:f.sub(u)._unit()._perp(),d=h._add(p)._unit(),g=d.x*p.x+d.y*p.y;d._mult(1/g),s.push(d._mult(e)._add(u))}r.push(s)}return r}(n,u*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(io(t,i[a]))return!0;if(Qa(t,i,r))return!0}return!1}(l,n,c)},e.prototype.isTileClipped=function(){return!0},e}(Ei);function Zs(t,e){return e>0?e+2*t:t}var 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nl=function(t,e,r,n,i){var a,o,s=8*i-n-1,l=(1<<s)-1,c=l>>1,u=-7,f=r?i-1:0,h=r?-1:1,p=t[e+f];for(f+=h,a=p&(1<<-u)-1,p>>=-u,u+=s;u>0;a=256*a+t[e+f],f+=h,u-=8);for(o=a&(1<<-u)-1,a>>=-u,u+=n;u>0;o=256*o+t[e+f],f+=h,u-=8);if(0===a)a=1-c;else{if(a===l)return o?NaN:1/0*(p?-1:1);o+=Math.pow(2,n),a-=c}return(p?-1:1)*o*Math.pow(2,a-n)},il=function(t,e,r,n,i,a){var o,s,l,c=8*a-i-1,u=(1<<c)-1,f=u>>1,h=23===i?Math.pow(2,-24)-Math.pow(2,-77):0,p=n?0:a-1,d=n?1:-1,g=e<0||0===e&&1/e<0?1:0;for(e=Math.abs(e),isNaN(e)||e===1/0?(s=isNaN(e)?1:0,o=u):(o=Math.floor(Math.log(e)/Math.LN2),e*(l=Math.pow(2,-o))<1&&(o--,l*=2),(e+=o+f>=1?h/l:h*Math.pow(2,1-f))*l>=2&&(o++,l/=2),o+f>=u?(s=0,o=u):o+f>=1?(s=(e*l-1)*Math.pow(2,i),o+=f):(s=e*Math.pow(2,f-1)*Math.pow(2,i),o=0));i>=8;t[r+p]=255&s,p+=d,s/=256,i-=8);for(o=o<<i|s,c+=i;c>0;t[r+p]=255&o,p+=d,o/=256,c-=8);t[r+p-d]|=128*g},al=ol;function ol(t){this.buf=ArrayBuffer.isView&&ArrayBuffer.isView(t)?t:new 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e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==ol.Bytes)return t.push(this.readSFixed64());var e=ll(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===ol.Varint)for(;this.buf[this.pos++]>127;);else if(e===ol.Bytes)this.pos=this.readVarint()+this.pos;else if(e===ol.Fixed32)this.pos+=4;else{if(e!==ol.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return 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r=(7&t)<<4;if(e.buf[e.pos++]|=r|((t>>>=3)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;if(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),!t)return;e.buf[e.pos++]=127&t}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&ul(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),il(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),il(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&ul(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,ol.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,fl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,hl,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,gl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,pl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,dl,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,ml,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,vl,e)},writePackedFixed64:function(t,e){e.length&&this.writeMessage(t,yl,e)},writePackedSFixed64:function(t,e){e.length&&this.writeMessage(t,xl,e)},writeBytesField:function(t,e){this.writeTag(t,ol.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,ol.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,ol.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,ol.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,ol.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,ol.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,ol.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};function Tl(t,e,r){1===t&&r.readMessage(kl,e)}function kl(t,e,r){if(3===t){var n=r.readMessage(Al,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,c=n.top,u=n.advance;e.push({id:i,bitmap:new So({width:o+6,height:s+6},a),metrics:{width:o,height:s,left:l,top:c,advance:u}})}}function Al(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}function Ml(t){for(var e=0,r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];e+=a.w*a.h,r=Math.max(r,a.w)}t.sort((function(t,e){return e.h-t.h}));for(var o=[{x:0,y:0,w:Math.max(Math.ceil(Math.sqrt(e/.95)),r),h:1/0}],s=0,l=0,c=0,u=t;c<u.length;c+=1)for(var f=u[c],h=o.length-1;h>=0;h--){var p=o[h];if(!(f.w>p.w||f.h>p.h)){if(f.x=p.x,f.y=p.y,l=Math.max(l,f.y+f.h),s=Math.max(s,f.x+f.w),f.w===p.w&&f.h===p.h){var d=o.pop();h<o.length&&(o[h]=d)}else 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Eo({width:o||1,height:s||1});for(var c in t){var u=t[c],f=r[c].paddedRect;Eo.copy(u.data,l,{x:0,y:0},{x:f.x+1,y:f.y+1},u.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,g=d.x+1,m=d.y+1,v=p.data.width,y=p.data.height;Eo.copy(p.data,l,{x:0,y:0},{x:g,y:m},p.data),Eo.copy(p.data,l,{x:0,y:y-1},{x:g,y:m-1},{width:v,height:1}),Eo.copy(p.data,l,{x:0,y:0},{x:g,y:m+y},{width:v,height:1}),Eo.copy(p.data,l,{x:v-1,y:0},{x:g-1,y:m},{width:1,height:y}),Eo.copy(p.data,l,{x:0,y:0},{x:g+v,y:m},{width:1,height:y})}this.image=l,this.iconPositions=r,this.patternPositions=n};Ll.prototype.addImages=function(t,e,r){for(var n in t){var i=t[n],a={x:0,y:0,w:i.data.width+2,h:i.data.height+2};r.push(a),e[n]=new Sl(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},Ll.prototype.patchUpdatedImages=function(t,e){for(var r in t.dispatchRenderCallbacks(this.haveRenderCallbacks),t.updatedImages)this.patchUpdatedImage(this.iconPositions[r],t.getImage(r),e),this.patchUpdatedImage(this.patternPositions[r],t.getImage(r),e)},Ll.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},Nn(\"ImagePosition\",Sl),Nn(\"ImageAtlas\",Ll);var Cl={horizontal:1,vertical:2,horizontalOnly:3};var Pl=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};Pl.forText=function(t,e){var r=new Pl;return r.scale=t||1,r.fontStack=e,r},Pl.forImage=function(t){var e=new Pl;return e.imageName=t,e};var Il=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function Ol(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=Il.fromFeature(t,i);f===Cl.vertical&&v.verticalizePunctuation();var y=hi.processBidirectionalText,x=hi.processStyledBidirectionalText;if(y&&1===v.sections.length){m=[];for(var b=0,_=y(v.toString(),jl(v,c,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new Il;T.text=w,T.sections=v.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);m.push(T)}}else if(x){m=[];for(var A=0,M=x(v.text,v.sectionIndex,jl(v,c,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new Il;E.text=S[0],E.sectionIndex=S[1],E.sections=v.sections,m.push(E)}}else m=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(v,jl(v,c,a,e,n,p,d));var L=[],C={positionedLines:L,text:v.toString(),top:u[1],bottom:u[1],left:u[0],right:u[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=0,p=-17,d=0,g=0,m=\"right\"===s?1:\"left\"===s?0:.5,v=0,y=0,x=i;y<x.length;y+=1){var b=x[y];b.trim();var _=b.getMaxScale(),w=24*(_-1),T={positionedGlyphs:[],lineOffset:0};t.positionedLines[v]=T;var k=T.positionedGlyphs,A=0;if(b.length()){for(var M=0;M<b.length();M++){var S=b.getSection(M),E=b.getSectionIndex(M),L=b.getCharCode(M),C=0,P=null,I=null,O=null,z=24,D=!(l===Cl.horizontal||!u&&!Zn(L)||u&&(zl[L]||(Y=L,Yn.Arabic(Y)||Yn[\"Arabic Supplement\"](Y)||Yn[\"Arabic Extended-A\"](Y)||Yn[\"Arabic Presentation Forms-A\"](Y)||Yn[\"Arabic Presentation Forms-B\"](Y))));if(S.imageName){var R=n[S.imageName];if(!R)continue;O=S.imageName,t.iconsInText=t.iconsInText||!0,I=R.paddedRect;var F=R.displaySize;S.scale=24*S.scale/f,P={width:F[0],height:F[1],left:1,top:-3,advance:D?F[1]:F[0]};var B=24-F[1]*S.scale;C=w+B,z=P.advance;var N=D?F[0]*S.scale-24*_:F[1]*S.scale-24*_;N>0&&N>A&&(A=N)}else{var j=r[S.fontStack],U=j&&j[L];if(U&&U.rect)I=U.rect,P=U.metrics;else{var V=e[S.fontStack],H=V&&V[L];if(!H)continue;P=H.metrics}C=24*(_-S.scale)}D?(t.verticalizable=!0,k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=z*S.scale+c):(k.push({glyph:L,imageName:O,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:I}),h+=P.advance*S.scale+c)}if(0!==k.length){var q=h-c;d=Math.max(q,d),Vl(k,0,k.length-1,m,A)}h=0;var G=a*_+A;T.lineOffset=Math.max(A,w),p+=G,g=Math.max(G,g),++v}else p+=a,++v}var Y;var W=p- -17,X=Ul(o),Z=X.horizontalAlign,J=X.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var c=(e-r)*i,u=0;u=a!==o?-s*n- -17:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=h[f],d=0,g=p.positionedGlyphs;d<g.length;d+=1){var m=g[d];m.x+=c,m.y+=u}})(t.positionedLines,m,Z,J,d,g,a,W,i.length),t.top+=-J*W,t.bottom=t.top+W,t.left+=-Z*d,t.right=t.left+d}(C,e,r,n,m,o,s,l,f,c,h,g),!function(t){for(var e=0,r=t;e<r.length;e+=1){if(0!==r[e].positionedGlyphs.length)return!1}return!0}(L)&&C}Il.fromFeature=function(t,e){for(var r=new Il,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},Il.prototype.length=function(){return this.text.length},Il.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},Il.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},Il.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},Il.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;(!n||!Jn(n)||rl[t[r+1]])&&(!i||!Jn(i)||rl[t[r-1]])&&rl[t[r]]?e+=rl[t[r]]:e+=t[r]}return e}(this.text)},Il.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&zl[this.text.charCodeAt(e)];e++)t++;for(var 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e=this.data,r=this.compare,n=this.length>>1,i=e[t];t<n;){var a=1+(t<<1),o=e[a],s=a+1;if(s<this.length&&r(e[s],o)<0&&(a=s,o=e[s]),r(o,i)>=0)break;e[t]=o,t=a}e[t]=i};var pc=Number.POSITIVE_INFINITY;function dc(t,e){return e[1]!==pc?function(t,e,r){var n=0,i=0;switch(e=Math.abs(e),r=Math.abs(r),t){case\"top-right\":case\"top-left\":case\"top\":i=r-7;break;case\"bottom-right\":case\"bottom-left\":case\"bottom\":i=7-r}switch(t){case\"top-right\":case\"bottom-right\":case\"right\":n=-e;break;case\"top-left\":case\"bottom-left\":case\"left\":n=e}return[n,i]}(t,e[0],e[1]):function(t,e){var r=0,n=0;e<0&&(e=0);var i=e/Math.sqrt(2);switch(t){case\"top-right\":case\"top-left\":n=i-7;break;case\"bottom-right\":case\"bottom-left\":n=7-i;break;case\"bottom\":n=7-e;break;case\"top\":n=e-7}switch(t){case\"top-right\":case\"bottom-right\":r=-i;break;case\"top-left\":case\"bottom-left\":r=i;break;case\"left\":r=e;break;case\"right\":r=-e}return[r,n]}(t,e[0])}function gc(t){switch(t){case\"right\":case\"top-right\":case\"bottom-right\":return\"right\";case\"left\":case\"top-left\":case\"bottom-left\":return\"left\"}return\"center\"}function mc(t,e,r,n,a,o,s,l,c,u,f,h,p,d,g){var m=function(t,e,r,n,a,o,s,l){for(var c=n.layout.get(\"text-rotate\").evaluate(o,{})*Math.PI/180,u=[],f=0,h=e.positionedLines;f<h.length;f+=1)for(var p=h[f],d=0,g=p.positionedGlyphs;d<g.length;d+=1){var m=g[d];if(m.rect){var v=m.rect||{},y=4,x=!0,b=1,_=0,w=(a||l)&&m.vertical,T=m.metrics.advance*m.scale/2;if(l&&e.verticalizable){var k=24*(m.scale-1),A=(24-m.metrics.width*m.scale)/2;_=p.lineOffset/2-(m.imageName?-A:k)}if(m.imageName){var M=s[m.imageName];x=M.sdf,y=1/(b=M.pixelRatio)}var S=a?[m.x+T,m.y]:[0,0],E=a?[0,0]:[m.x+T+r[0],m.y+r[1]-_],L=[0,0];w&&(L=E,E=[0,0]);var C=(m.metrics.left-y)*m.scale-T+E[0],P=(-m.metrics.top-y)*m.scale+E[1],I=C+v.w*m.scale/b,O=P+v.h*m.scale/b,z=new i(C,P),D=new i(I,P),R=new i(C,O),F=new i(I,O);if(w){var B=new i(-T,T- -17),N=-Math.PI/2,j=12-T,U=m.imageName?j:0,V=new i(22-j,-U),H=new(Function.prototype.bind.apply(i,[null].concat(L)));z._rotateAround(N,B)._add(V)._add(H),D._rotateAround(N,B)._add(V)._add(H),R._rotateAround(N,B)._add(V)._add(H),F._rotateAround(N,B)._add(V)._add(H)}if(c){var q=Math.sin(c),G=Math.cos(c),Y=[G,-q,q,G];z._matMult(Y),D._matMult(Y),R._matMult(Y),F._matMult(Y)}var W=new i(0,0),X=new i(0,0);u.push({tl:z,tr:D,bl:R,br:F,tex:v,writingMode:e.writingMode,glyphOffset:S,sectionIndex:m.sectionIndex,isSDF:x,pixelOffsetTL:W,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return u}(0,r,l,a,o,s,n,t.allowVerticalPlacement),v=t.textSizeData,y=null;\"source\"===v.kind?(y=[128*a.layout.get(\"text-size\").evaluate(s,{})])[0]>32640&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'):\"composite\"===v.kind&&((y=[128*d.compositeTextSizes[0].evaluate(s,{},g),128*d.compositeTextSizes[1].evaluate(s,{},g)])[0]>32640||y[1]>32640)&&_(t.layerIds[0]+': Value for \"text-size\" is >= 255. Reduce your \"text-size\".'),t.addSymbols(t.text,m,y,l,o,s,u,e,c.lineStartIndex,c.lineLength,p,g);for(var x=0,b=f;x<b.length;x+=1){h[b[x]]=t.text.placedSymbolArray.length-1}return 4*m.length}function vc(t){for(var e in t)return t[e];return null}function yc(t,e,r,n){var i=t.compareText;if(e in i){for(var a=i[e],o=a.length-1;o>=0;o--)if(n.dist(a[o])<r)return!0}else i[e]=[];return i[e].push(n),!1}var xc=Ls.VectorTileFeature.types,bc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function _c(t,e,r,n,i,a,o,s,l,c,u,f,h){var p=s?Math.min(32640,Math.round(s[0])):0,d=s?Math.min(32640,Math.round(s[1])):0;t.emplaceBack(e,r,Math.round(32*n),Math.round(32*i),a,o,(p<<1)+(l?1:0),d,16*c,16*u,256*f,256*h)}function wc(t,e,r){t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r),t.emplaceBack(e.x,e.y,r)}function Tc(t){for(var e=0,r=t.sections;e<r.length;e+=1){if($n(r[e].text))return!0}return!1}var kc=function(t){this.layoutVertexArray=new Ni,this.indexArray=new Yi,this.programConfigurations=t,this.segments=new pa,this.dynamicLayoutVertexArray=new ji,this.opacityVertexArray=new Ui,this.placedSymbolArray=new aa};kc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},kc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Js.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Ks.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,bc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},kc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},Nn(\"SymbolBuffers\",kc);var Ac=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new pa,this.collisionVertexArray=new Gi};Ac.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,Qs.members,!0)},Ac.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},Nn(\"CollisionBuffers\",Ac);var Mc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=ho([]),this.placementViewportMatrix=ho([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Gl(this.zoom,e[\"text-size\"]),this.iconSizeData=Gl(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return Cl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Mc.prototype.createArrays=function(){this.text=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new kc(new Ua(Js.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new la,this.lineVertexArray=new ca,this.symbolInstances=new sa},Mc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=rl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Mc.prototype.populate=function(t,e,r){var n=this.layers[0],i=n.layout,a=i.get(\"text-font\"),o=i.get(\"text-field\"),s=i.get(\"icon-image\"),l=(\"constant\"!==o.value.kind||o.value.value instanceof ne&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),c=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,u=i.get(\"symbol-sort-key\");if(this.features=[],l||c){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new pi(this.zoom),g=0,m=t;g<m.length;g+=1){var v=m[g],y=v.feature,x=v.id,b=v.index,_=v.sourceLayerIndex,w=n._featureFilter.needGeometry,T={type:y.type,id:x,properties:y.properties,geometry:w?Ya(y):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=Ya(y));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=ne.factory(A);Tc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ui()||this.hasRTLText&&hi.isParsed())&&(k=el(M,n,T))}var S=void 0;if(c){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ie?E:ie.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?u.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:Ya(y),properties:y.properties,type:xc[y.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),I=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(Cl.vertical)>=0;for(var O=0,z=k.sections;O<z.length;O+=1){var D=z[O];if(D.image)f[D.image.name]=!0;else{var R=Wn(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,I,this.allowVerticalPlacement,R)}}}}}}\"line\"===i.get(\"symbol-placement\")&&(this.features=function(t){var e={},r={},n=[],i=0;function a(e){n.push(t[e]),i++}function o(t,e,i){var a=r[t];return delete r[t],r[e]=a,n[a].geometry[0].pop(),n[a].geometry[0]=n[a].geometry[0].concat(i[0]),a}function s(t,r,i){var a=e[r];return delete e[r],e[t]=a,n[a].geometry[0].shift(),n[a].geometry[0]=i[0].concat(n[a].geometry[0]),a}function l(t,e,r){var n=r?e[0][e[0].length-1]:e[0][0];return t+\":\"+n.x+\":\"+n.y}for(var c=0;c<t.length;c++){var u=t[c],f=u.geometry,h=u.text?u.text.toString():null;if(h){var p=l(h,f),d=l(h,f,!0);if(p in r&&d in e&&r[p]!==e[d]){var g=s(p,d,f),m=o(p,d,n[g].geometry);delete e[p],delete r[d],r[l(h,n[m].geometry,!0)]=m,n[g].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(c),e[p]=i-1,r[d]=i-1)}else a(c)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},Mc.prototype.update=function(t,e,r){this.stateDependentLayers.length&&(this.text.programConfigurations.updatePaintArrays(t,e,this.layers,r),this.icon.programConfigurations.updatePaintArrays(t,e,this.layers,r))},Mc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Mc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Mc.prototype.upload=function(t){!this.uploaded&&this.hasDebugData()&&(this.textCollisionBox.upload(t),this.iconCollisionBox.upload(t)),this.text.upload(t,this.sortFeaturesByY,!this.uploaded,this.text.programConfigurations.needsUpload),this.icon.upload(t,this.sortFeaturesByY,!this.uploaded,this.icon.programConfigurations.needsUpload),this.uploaded=!0},Mc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Mc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Mc.prototype.addToLineVertexArray=function(t,e){var r=this.lineVertexArray.length;if(void 0!==t.segment){for(var n=t.dist(e[t.segment+1]),i=t.dist(e[t.segment]),a={},o=t.segment+1;o<e.length;o++)a[o]={x:e[o].x,y:e[o].y,tileUnitDistanceFromAnchor:n},o<e.length-1&&(n+=e[o+1].dist(e[o]));for(var s=t.segment||0;s>=0;s--)a[s]={x:e[s].x,y:e[s].y,tileUnitDistanceFromAnchor:i},s>0&&(i+=e[s-1].dist(e[s]));for(var l=0;l<e.length;l++){var c=a[l];this.lineVertexArray.emplaceBack(c.x,c.y,c.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},Mc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,c,u,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,a.sortKey),g=this.glyphOffsetArray.length,m=d.vertexLength,v=this.allowVerticalPlacement&&o===Cl.vertical?Math.PI/2:0,y=a.text&&a.text.sections,x=0;x<e.length;x++){var b=e[x],_=b.tl,w=b.tr,T=b.bl,k=b.br,A=b.tex,M=b.pixelOffsetTL,S=b.pixelOffsetBR,E=b.minFontScaleX,L=b.minFontScaleY,C=b.glyphOffset,P=b.isSDF,I=b.sectionIndex,O=d.vertexLength,z=C[1];_c(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),_c(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),_c(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),_c(p,s.x,s.y,k.x,z+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),wc(t.dynamicLayoutVertexArray,s,v),h.emplaceBack(O,O+1,O+2),h.emplaceBack(O+1,O+2,O+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&I===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,y&&y[I])}t.placedSymbolArray.emplaceBack(s.x,s.y,g,this.glyphOffsetArray.length-g,m,l,c,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,u)},Mc.prototype._addCollisionDebugVertex=function(t,e,r,n,i,a){return e.emplaceBack(0,0),t.emplaceBack(r.x,r.y,n,i,Math.round(a.x),Math.round(a.y))},Mc.prototype.addCollisionDebugVertices=function(t,e,r,n,a,o,s){var l=a.segments.prepareSegment(4,a.layoutVertexArray,a.indexArray),c=l.vertexLength,u=a.layoutVertexArray,f=a.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(u,f,o,h,p,new i(t,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,e)),this._addCollisionDebugVertex(u,f,o,h,p,new i(r,n)),this._addCollisionDebugVertex(u,f,o,h,p,new i(t,n)),l.vertexLength+=4;var d=a.indexArray;d.emplaceBack(c,c+1),d.emplaceBack(c+1,c+2),d.emplaceBack(c+2,c+3),d.emplaceBack(c+3,c),l.primitiveLength+=4},Mc.prototype.addDebugCollisionBoxes=function(t,e,r,n){for(var i=t;i<e;i++){var a=this.collisionBoxArray.get(i),o=a.x1,s=a.y1,l=a.x2,c=a.y2;this.addCollisionDebugVertices(o,s,l,c,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},Mc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ac(Hi,$s.members,Qi),this.iconCollisionBox=new Ac(Hi,$s.members,Qi);for(var t=0;t<this.symbolInstances.length;t++){var e=this.symbolInstances.get(t);this.addDebugCollisionBoxes(e.textBoxStartIndex,e.textBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.verticalTextBoxStartIndex,e.verticalTextBoxEndIndex,e,!0),this.addDebugCollisionBoxes(e.iconBoxStartIndex,e.iconBoxEndIndex,e,!1),this.addDebugCollisionBoxes(e.verticalIconBoxStartIndex,e.verticalIconBoxEndIndex,e,!1)}},Mc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var c={},u=e;u<r;u++){var f=t.get(u);c.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},c.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);c.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},c.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var g=t.get(d);c.iconBox={x1:g.x1,y1:g.y1,x2:g.x2,y2:g.y2,anchorPointX:g.anchorPointX,anchorPointY:g.anchorPointY},c.iconFeatureIndex=g.featureIndex;break}for(var m=s;m<l;m++){var v=t.get(m);c.verticalIconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},c.verticalIconFeatureIndex=v.featureIndex;break}return c},Mc.prototype.deserializeCollisionBoxes=function(t){this.collisionArrays=[];for(var e=0;e<this.symbolInstances.length;e++){var r=this.symbolInstances.get(e);this.collisionArrays.push(this._deserializeCollisionBoxesForSymbol(t,r.textBoxStartIndex,r.textBoxEndIndex,r.verticalTextBoxStartIndex,r.verticalTextBoxEndIndex,r.iconBoxStartIndex,r.iconBoxEndIndex,r.verticalIconBoxStartIndex,r.verticalIconBoxEndIndex))}},Mc.prototype.hasTextData=function(){return this.text.segments.get().length>0},Mc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Mc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Mc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Mc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Mc.prototype.addIndicesForPlacedSymbol=function(t,e){for(var r=t.placedSymbolArray.get(e),n=r.vertexStartIndex+4*r.numGlyphs,i=r.vertexStartIndex;i<n;i+=4)t.indexArray.emplaceBack(i,i+1,i+2),t.indexArray.emplaceBack(i+1,i+2,i+3)},Mc.prototype.getSortedSymbolIndexes=function(t){if(this.sortedAngle===t&&void 0!==this.symbolInstanceIndexes)return this.symbolInstanceIndexes;for(var e=Math.sin(t),r=Math.cos(t),n=[],i=[],a=[],o=0;o<this.symbolInstances.length;++o){a.push(o);var s=this.symbolInstances.get(o);n.push(0|Math.round(e*s.anchorX+r*s.anchorY)),i.push(s.featureIndex)}return a.sort((function(t,e){return n[t]-n[e]||i[e]-i[t]})),a},Mc.prototype.addToSortKeyRanges=function(t,e){var r=this.sortKeyRanges[this.sortKeyRanges.length-1];r&&r.sortKey===e?r.symbolInstanceEnd=t+1:this.sortKeyRanges.push({sortKey:e,symbolInstanceStart:t,symbolInstanceEnd:t+1})},Mc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},Nn(\"SymbolBucket\",Mc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Mc.MAX_GLYPHS=65535,Mc.addDynamicAttributes=wc;var Sc=new Si({\"symbol-placement\":new wi(Lt.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new wi(Lt.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new wi(Lt.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Ti(Lt.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new wi(Lt.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new wi(Lt.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new wi(Lt.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new wi(Lt.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new wi(Lt.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Ti(Lt.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new wi(Lt.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new wi(Lt.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Ti(Lt.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Ti(Lt.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new wi(Lt.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new wi(Lt.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Ti(Lt.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Ti(Lt.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new wi(Lt.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new wi(Lt.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new wi(Lt.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Ti(Lt.layout_symbol[\"text-field\"]),\"text-font\":new Ti(Lt.layout_symbol[\"text-font\"]),\"text-size\":new Ti(Lt.layout_symbol[\"text-size\"]),\"text-max-width\":new Ti(Lt.layout_symbol[\"text-max-width\"]),\"text-line-height\":new wi(Lt.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Ti(Lt.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Ti(Lt.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Ti(Lt.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new wi(Lt.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Ti(Lt.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new wi(Lt.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new wi(Lt.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Ti(Lt.layout_symbol[\"text-rotate\"]),\"text-padding\":new wi(Lt.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new wi(Lt.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Ti(Lt.layout_symbol[\"text-transform\"]),\"text-offset\":new Ti(Lt.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new wi(Lt.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new wi(Lt.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new wi(Lt.layout_symbol[\"text-optional\"])}),Ec={paint:new Si({\"icon-opacity\":new Ti(Lt.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Ti(Lt.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Ti(Lt.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Ti(Lt.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Ti(Lt.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new wi(Lt.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new wi(Lt.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Ti(Lt.paint_symbol[\"text-opacity\"]),\"text-color\":new Ti(Lt.paint_symbol[\"text-color\"],{runtimeType:Ut,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Ti(Lt.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Ti(Lt.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Ti(Lt.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new wi(Lt.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new wi(Lt.paint_symbol[\"text-translate-anchor\"])}),layout:Sc},Lc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ft,this.defaultValue=t};Lc.prototype.evaluate=function(t){if(t.formattedSection){var e=this.defaultValue.property.overrides;if(e&&e.hasOverride(t.formattedSection))return e.getOverride(t.formattedSection)}return t.feature&&t.featureState?this.defaultValue.evaluate(t.feature,t.featureState):this.defaultValue.property.specification.default},Lc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},Lc.prototype.outputDefined=function(){return!1},Lc.prototype.serialize=function(){return null},Nn(\"FormatSectionOverride\",Lc,{omit:[\"defaultValue\"]});var Cc=function(t){function e(e){t.call(this,e,Ec)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.recalculate=function(e,r){if(t.prototype.recalculate.call(this,e,r),\"auto\"===this.layout.get(\"icon-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"icon-rotation-alignment\"]=\"map\":this.layout._values[\"icon-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-rotation-alignment\")&&(\"point\"!==this.layout.get(\"symbol-placement\")?this.layout._values[\"text-rotation-alignment\"]=\"map\":this.layout._values[\"text-rotation-alignment\"]=\"viewport\"),\"auto\"===this.layout.get(\"text-pitch-alignment\")&&(this.layout._values[\"text-pitch-alignment\"]=this.layout.get(\"text-rotation-alignment\")),\"auto\"===this.layout.get(\"icon-pitch-alignment\")&&(this.layout._values[\"icon-pitch-alignment\"]=this.layout.get(\"icon-rotation-alignment\")),\"point\"===this.layout.get(\"symbol-placement\")){var n=this.layout.get(\"text-writing-mode\");if(n){for(var i=[],a=0,o=n;a<o.length;a+=1){var s=o[a];i.indexOf(s)<0&&i.push(s)}this.layout._values[\"text-writing-mode\"]=i}else this.layout._values[\"text-writing-mode\"]=[\"horizontal\"]}this._setPaintOverrides()},e.prototype.getValueAndResolveTokens=function(t,e,r,n){var i=this.layout.get(t).evaluate(e,{},r,n),a=this._unevaluatedLayout._values[t];return a.isDataDriven()||Yr(a.value)||!i?i:function(t,e){return e.replace(/{([^{}]+)}/g,(function(e,r){return r in t?String(t[r]):\"\"}))}(e.properties,i)},e.prototype.createBucket=function(t){return new Mc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Ec.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i=this.paint.get(n),a=new Lc(i),o=new Gr(a,i.property.specification),s=null;s=\"constant\"===i.value.kind||\"source\"===i.value.kind?new Xr(\"source\",o):new Zr(\"composite\",o,i.value.zoomStops,i.value._interpolationType),this.paint._values[n]=new bi(i.property,s,i.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=Ec.paint.properties[e],i=!1,a=function(t){for(var e=0,r=t;e<r.length;e+=1){var a=r[e];if(n.overrides&&n.overrides.hasOverride(a))return void(i=!0)}};if(\"constant\"===r.value.kind&&r.value.value instanceof ne)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof ce&&se(t.value)===Gt){var e=t.value;a(e.sections)}else t instanceof pe?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ei),Pc={paint:new Si({\"background-color\":new wi(Lt.paint_background[\"background-color\"]),\"background-pattern\":new Ai(Lt.paint_background[\"background-pattern\"]),\"background-opacity\":new wi(Lt.paint_background[\"background-opacity\"])})},Ic=function(t){function e(e){t.call(this,e,Pc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei),Oc={paint:new Si({\"raster-opacity\":new wi(Lt.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new wi(Lt.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new wi(Lt.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new wi(Lt.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new wi(Lt.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new wi(Lt.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new wi(Lt.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new wi(Lt.paint_raster[\"raster-fade-duration\"])})},zc=function(t){function e(e){t.call(this,e,Oc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ei);var Dc=function(t){function e(e){t.call(this,e,{}),this.implementation=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.is3D=function(){return\"3d\"===this.implementation.renderingMode},e.prototype.hasOffscreenPass=function(){return void 0!==this.implementation.prerender},e.prototype.recalculate=function(){},e.prototype.updateTransitions=function(){},e.prototype.hasTransition=function(){},e.prototype.serialize=function(){},e.prototype.onAdd=function(t){this.implementation.onAdd&&this.implementation.onAdd(t,t.painter.context.gl)},e.prototype.onRemove=function(t){this.implementation.onRemove&&this.implementation.onRemove(t,t.painter.context.gl)},e}(Ei),Rc={circle:_o,heatmap:Po,hillshade:Oo,fill:xs,\"fill-extrusion\":Fs,line:Xs,symbol:Cc,background:Ic,raster:zc};var Fc=self.HTMLImageElement,Bc=self.HTMLCanvasElement,Nc=self.HTMLVideoElement,jc=self.ImageData,Uc=self.ImageBitmap,Vc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Vc.prototype.update=function(t,e,r){var n=t.width,i=t.height,a=!(this.size&&this.size[0]===n&&this.size[1]===i||r),o=this.context,s=o.gl;if(this.useMipmap=Boolean(e&&e.useMipmap),s.bindTexture(s.TEXTURE_2D,this.texture),o.pixelStoreUnpackFlipY.set(!1),o.pixelStoreUnpack.set(1),o.pixelStoreUnpackPremultiplyAlpha.set(this.format===s.RGBA&&(!e||!1!==e.premultiply)),a)this.size=[n,i],t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,s.UNSIGNED_BYTE,t):s.texImage2D(s.TEXTURE_2D,0,this.format,n,i,0,this.format,s.UNSIGNED_BYTE,t.data);else{var l=r||{x:0,y:0},c=l.x,u=l.y;t instanceof Fc||t instanceof Bc||t instanceof Nc||t instanceof jc||Uc&&t instanceof Uc?s.texSubImage2D(s.TEXTURE_2D,0,c,u,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,c,u,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Vc.prototype.bind=function(t,e,r){var n=this.context.gl;n.bindTexture(n.TEXTURE_2D,this.texture),r!==n.LINEAR_MIPMAP_NEAREST||this.isSizePowerOfTwo()||(r=n.LINEAR),t!==this.filter&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,t),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,r||t),this.filter=t),e!==this.wrap&&(n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,e),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,e),this.wrap=e)},Vc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Vc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Hc=function(t){var e=this;this._callback=t,this._triggered=!1,\"undefined\"!=typeof MessageChannel&&(this._channel=new MessageChannel,this._channel.port2.onmessage=function(){e._triggered=!1,e._callback()})};Hc.prototype.trigger=function(){var t=this;this._triggered||(this._triggered=!0,this._channel?this._channel.port1.postMessage(!0):setTimeout((function(){t._triggered=!1,t._callback()}),0))},Hc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var qc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g([\"receive\",\"process\"],this),this.invoker=new Hc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=k()?t:self};function Gc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}qc.prototype.send=function(t,e,r,n,i){var a=this;void 0===i&&(i=!1);var o=Math.round(1e18*Math.random()).toString(36).substring(0,10);r&&(this.callbacks[o]=r);var s=S(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:Hn(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},qc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else k()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},qc.prototype.process=function(){if(this.taskQueue.length){var t=this.taskQueue.shift(),e=this.tasks[t];delete this.tasks[t],this.taskQueue.length&&this.invoker.trigger(),e&&this.processTask(t,e)}},qc.prototype.processTask=function(t,e){var r=this;if(\"<response>\"===e.type){var n=this.callbacks[t];delete this.callbacks[t],n&&(e.error?n(qn(e.error)):n(null,qn(e.data)))}else{var i=!1,a=S(this.globalScope)?void 0:[],o=e.hasCallback?function(e,n){i=!0,delete r.cancelCallbacks[t],r.target.postMessage({id:t,type:\"<response>\",sourceMapId:r.mapId,error:e?Hn(e):null,data:Hn(n,a)},a)}:function(t){i=!0},s=null,l=qn(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var c=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,c[0],l.source)[c[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},qc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};Yc.prototype.setNorthEast=function(t){return this._ne=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.setSouthWest=function(t){return this._sw=t instanceof Wc?new Wc(t.lng,t.lat):Wc.convert(t),this},Yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof Wc)e=t,r=t;else{if(!(t instanceof Yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Yc.convert(a))}var o=t;return this.extend(Wc.convert(o))}return this}if(e=t._sw,r=t._ne,!e||!r)return this}return n||i?(n.lng=Math.min(e.lng,n.lng),n.lat=Math.min(e.lat,n.lat),i.lng=Math.max(r.lng,i.lng),i.lat=Math.max(r.lat,i.lat)):(this._sw=new Wc(e.lng,e.lat),this._ne=new Wc(r.lng,r.lat)),this},Yc.prototype.getCenter=function(){return new Wc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Yc.prototype.getSouthWest=function(){return this._sw},Yc.prototype.getNorthEast=function(){return this._ne},Yc.prototype.getNorthWest=function(){return new Wc(this.getWest(),this.getNorth())},Yc.prototype.getSouthEast=function(){return new Wc(this.getEast(),this.getSouth())},Yc.prototype.getWest=function(){return this._sw.lng},Yc.prototype.getSouth=function(){return this._sw.lat},Yc.prototype.getEast=function(){return this._ne.lng},Yc.prototype.getNorth=function(){return this._ne.lat},Yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Yc.prototype.contains=function(t){var e=Wc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},Yc.convert=function(t){return!t||t instanceof Yc?t:new Yc(t)};var Wc=function(t,e){if(isNaN(t)||isNaN(e))throw new Error(\"Invalid LngLat object: (\"+t+\", \"+e+\")\");if(this.lng=+t,this.lat=+e,this.lat>90||this.lat<-90)throw new Error(\"Invalid LngLat latitude value: must be between -90 and 90\")};Wc.prototype.wrap=function(){return new Wc(c(this.lng,-180,180),this.lat)},Wc.prototype.toArray=function(){return[this.lng,this.lat]},Wc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},Wc.prototype.distanceTo=function(t){var e=Math.PI/180,r=this.lat*e,n=t.lat*e,i=Math.sin(r)*Math.sin(n)+Math.cos(r)*Math.cos(n)*Math.cos((t.lng-this.lng)*e);return 6371008.8*Math.acos(Math.min(i,1))},Wc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new Yc(new Wc(this.lng-r,this.lat-e),new Wc(this.lng+r,this.lat+e))},Wc.convert=function(t){if(t instanceof Wc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new Wc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new Wc(Number(\"lng\"in t?t.lng:t.lon),Number(t.lat));throw new Error(\"`LngLatLike` argument must be specified as a LngLat instance, an object {lng: <lng>, lat: <lat>}, an object {lon: <lng>, lat: <lat>}, or an array of [<lng>, <lat>]\")};var Xc=2*Math.PI*6371008.8;function Zc(t){return Xc*Math.cos(t*Math.PI/180)}function Jc(t){return(180+t)/360}function Kc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Qc(t,e){return t/Zc(e)}function $c(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var tu=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};tu.fromLngLat=function(t,e){void 0===e&&(e=0);var r=Wc.convert(t);return new tu(Jc(r.lng),Kc(r.lat),Qc(e,r.lat))},tu.prototype.toLngLat=function(){return new Wc(360*this.x-180,$c(this.y))},tu.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Zc($c(e));var t,e},tu.prototype.meterInMercatorCoordinateUnits=function(){return 1/Xc*(t=$c(this.y),1/Math.cos(t*Math.PI/180));var t};var eu=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=iu(0,t,t,e,r)};eu.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},eu.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},eu.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new i(8192*(t.x*e-this.x),8192*(t.y*e-this.y))},eu.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var ru=function(t,e){this.wrap=t,this.canonical=e,this.key=iu(t,e.z,e.z,e.x,e.y)},nu=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new eu(r,+n,+i),this.key=iu(e,t,r,n,i)};function iu(t,e,r,n,i){(t*=2)<0&&(t=-1*t-1);var a=1<<r;return(a*a*t+a*i+n).toString(36)+r.toString(36)+e.toString(36)}nu.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},nu.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new nu(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new nu(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},nu.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?iu(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):iu(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},nu.prototype.isChildOf=function(t){if(t.wrap!==this.wrap)return!1;var e=this.canonical.z-t.canonical.z;return 0===t.overscaledZ||t.overscaledZ<this.overscaledZ&&t.canonical.x===this.canonical.x>>e&&t.canonical.y===this.canonical.y>>e},nu.prototype.children=function(t){if(this.overscaledZ>=t)return[new nu(this.overscaledZ+1,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y)];var e=this.canonical.z+1,r=2*this.canonical.x,n=2*this.canonical.y;return[new nu(e,this.wrap,e,r,n),new nu(e,this.wrap,e,r+1,n),new nu(e,this.wrap,e,r,n+1),new nu(e,this.wrap,e,r+1,n+1)]},nu.prototype.isLessThan=function(t){return this.wrap<t.wrap||!(this.wrap>t.wrap)&&(this.overscaledZ<t.overscaledZ||!(this.overscaledZ>t.overscaledZ)&&(this.canonical.x<t.canonical.x||!(this.canonical.x>t.canonical.x)&&this.canonical.y<t.canonical.y))},nu.prototype.wrapped=function(){return new nu(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.unwrapTo=function(t){return new nu(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},nu.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},nu.prototype.toUnwrapped=function(){return new ru(this.wrap,this.canonical)},nu.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},nu.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new tu(t.x-this.wrap,t.y))},Nn(\"CanonicalTileID\",eu),Nn(\"OverscaledTileID\",nu,{omit:[\"posMatrix\"]});var au=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return _('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};au.prototype.get=function(t,e){var r=new Uint8Array(this.data.buffer),n=4*this._idx(t,e);return(\"terrarium\"===this.encoding?this._unpackTerrarium:this._unpackMapbox)(r[n],r[n+1],r[n+2])},au.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},au.prototype._idx=function(t,e){if(t<-1||t>=this.dim+1||e<-1||e>=this.dim+1)throw new RangeError(\"out of range source coordinates for DEM data\");return(e+1)*this.stride+(t+1)},au.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},au.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},au.prototype.getPixels=function(){return new Eo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},au.prototype.backfillBorder=function(t,e,r){if(this.dim!==t.dim)throw new Error(\"dem dimension mismatch\");var n=e*this.dim,i=e*this.dim+this.dim,a=r*this.dim,o=r*this.dim+this.dim;switch(e){case-1:n=i-1;break;case 1:i=n+1}switch(r){case-1:a=o-1;break;case 1:o=a+1}for(var s=-e*this.dim,l=-r*this.dim,c=a;c<o;c++)for(var u=n;u<i;u++)this.data[this._idx(u,c)]=t.data[this._idx(u+s,c+l)]},Nn(\"DEMData\",au);var ou=function(t){this._stringToNumber={},this._numberToString=[];for(var e=0;e<t.length;e++){var r=t[e];this._stringToNumber[r]=e,this._numberToString[e]=r}};ou.prototype.encode=function(t){return this._stringToNumber[t]},ou.prototype.decode=function(t){return this._numberToString[t]};var su=function(t,e,r,n,i){this.type=\"Feature\",this._vectorTileFeature=t,t._z=e,t._x=r,t._y=n,this.properties=t.properties,this.id=i},lu={geometry:{configurable:!0}};lu.geometry.get=function(){return void 0===this._geometry&&(this._geometry=this._vectorTileFeature.toGeoJSON(this._vectorTileFeature._x,this._vectorTileFeature._y,this._vectorTileFeature._z).geometry),this._geometry},lu.geometry.set=function(t){this._geometry=t},su.prototype.toJSON=function(){var t={geometry:this.geometry};for(var e in this)\"_geometry\"!==e&&\"_vectorTileFeature\"!==e&&(t[e]=this[e]);return t},Object.defineProperties(su.prototype,lu);var cu=function(){this.state={},this.stateChanges={},this.deletedStates={}};cu.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},u(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r){this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]}},cu.prototype.removeFeatureState=function(t,e,r){if(!(null===this.deletedStates[t])){var n=String(e);if(this.deletedStates[t]=this.deletedStates[t]||{},r&&void 0!==e)null!==this.deletedStates[t][n]&&(this.deletedStates[t][n]=this.deletedStates[t][n]||{},this.deletedStates[t][n][r]=null);else if(void 0!==e){if(this.stateChanges[t]&&this.stateChanges[t][n])for(r in this.deletedStates[t][n]={},this.stateChanges[t][n])this.deletedStates[t][n][r]=null;else this.deletedStates[t][n]=null}else this.deletedStates[t]=null}},cu.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=u({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},cu.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},cu.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),u(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var c in this.deletedStates[o]){if(null===this.deletedStates[o][c])this.state[o][c]={};else for(var f=0,h=Object.keys(this.deletedStates[o][c]);f<h.length;f+=1){var p=h[f];delete this.state[o][c][p]}s[c]=this.state[o][c]}r[o]=r[o]||{},u(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t){t[d].setFeatureState(r,e)}};var uu=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new zn(8192,16,0),this.grid3D=new zn(8192,16,0),this.featureIndexArray=new fa,this.promoteId=e};function fu(t,e,r,n,i){return v(t,(function(t,a){var o=e instanceof _i?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function hu(t){for(var e=1/0,r=1/0,n=-1/0,i=-1/0,a=0,o=t;a<o.length;a+=1){var s=o[a];e=Math.min(e,s.x),r=Math.min(r,s.y),n=Math.max(n,s.x),i=Math.max(i,s.y)}return{minX:e,minY:r,maxX:n,maxY:i}}function pu(t,e){return e-t}uu.prototype.insert=function(t,e,r,n,i,a){var o=this.featureIndexArray.length;this.featureIndexArray.emplaceBack(r,n,i);for(var s=a?this.grid3D:this.grid,l=0;l<e.length;l++){for(var c=e[l],u=[1/0,1/0,-1/0,-1/0],f=0;f<c.length;f++){var h=c[f];u[0]=Math.min(u[0],h.x),u[1]=Math.min(u[1],h.y),u[2]=Math.max(u[2],h.x),u[3]=Math.max(u[3],h.y)}u[0]<8192&&u[1]<8192&&u[2]>=0&&u[3]>=0&&s.insert(o,u[0],u[1],u[2],u[3])}},uu.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Ls.VectorTile(new al(this.rawTileData)).layers,this.sourceLayerCoder=new ou(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},uu.prototype.query=function(t,e,r,n){var a=this;this.loadVTLayers();for(var o=t.params||{},s=8192/t.tileSize/t.scale,l=sn(o.filter),c=t.queryGeometry,u=t.queryPadding*s,f=hu(c),h=this.grid.query(f.minX-u,f.minY-u,f.maxX+u,f.maxY+u),p=hu(t.cameraQueryGeometry),d=this.grid3D.query(p.minX-u,p.minY-u,p.maxX+u,p.maxY+u,(function(e,r,n,a){return function(t,e,r,n,a){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&a>=l.y)return!0}var c=[new i(e,r),new i(e,a),new i(n,a),new i(n,r)];if(t.length>2)for(var u=0,f=c;u<f.length;u+=1){if(io(t,f[u]))return!0}for(var h=0;h<t.length-1;h++){if(ao(t[h],t[h+1],c))return!0}return!1}(t.cameraQueryGeometry,e-u,r-u,n+u,a+u)})),g=0,m=d;g<m.length;g+=1){var v=m[g];h.push(v)}h.sort(pu);for(var y,x={},b=function(i){var u=h[i];if(u!==y){y=u;var f=a.featureIndexArray.get(u),p=null;a.loadMatchingFeature(x,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=Ya(e)),r.queryIntersectsFeature(c,e,n,p,a.z,t.transform,s,t.pixelPosMatrix)}))}},_=0;_<h.length;_++)b(_);return x},uu.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,c,u){var f=this.bucketLayerIDs[e];if(!a||function(t,e){for(var r=0;r<t.length;r++)if(e.indexOf(t[r])>=0)return!0;return!1}(a,f)){var h=this.sourceLayerCoder.decode(r),p=this.vtLayers[h].feature(n);if(i.filter(new pi(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),g=0;g<f.length;g++){var m=f[g];if(!(a&&a.indexOf(m)<0)){var v=s[m];if(v){var y={};void 0!==d&&c&&(y=c.getState(v.sourceLayer||\"_geojsonTileLayer\",d));var x=l[m];x.paint=fu(x.paint,v.paint,p,y,o),x.layout=fu(x.layout,v.layout,p,y,o);var b=!u||u(p,v,y);if(b){var _=new su(p,this.z,this.x,this.y,d);_.layer=x;var w=t[m];void 0===w&&(w=t[m]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},uu.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var c=sn(i),u=0,f=t;u<f.length;u+=1){var h=f[u];this.loadMatchingFeature(l,r,n,h,c,a,o,s,e)}return l},uu.prototype.hasLayer=function(t){for(var e=0,r=this.bucketLayerIDs;e<r.length;e+=1)for(var n=0,i=r[e];n<i.length;n+=1){if(t===i[n])return!0}return!1},uu.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},Nn(\"FeatureIndex\",uu,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var du=function(t,e){this.tileID=t,this.uid=h(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};du.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<R.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},du.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},du.prototype.loadVectorData=function(t,e,r){if(this.hasData()&&this.unloadVectorData(),this.state=\"loaded\",t){for(var n in t.featureIndex&&(this.latestFeatureIndex=t.featureIndex,t.rawTileData?(this.latestRawTileData=t.rawTileData,this.latestFeatureIndex.rawTileData=t.rawTileData):this.latestRawTileData&&(this.latestFeatureIndex.rawTileData=this.latestRawTileData)),this.collisionBoxArray=t.collisionBoxArray,this.buckets=function(t,e){var r={};if(!e)return r;for(var n=function(){var t=a[i],n=t.layerIds.map((function(t){return e.getLayer(t)})).filter(Boolean);if(0!==n.length){t.layers=n,t.stateDependentLayerIds&&(t.stateDependentLayers=t.stateDependentLayerIds.map((function(t){return n.filter((function(e){return e.id===t}))[0]})));for(var o=0,s=n;o<s.length;o+=1){var l=s[o];r[l.id]=t}}},i=0,a=t;i<a.length;i+=1)n();return r}(t.buckets,e.style),this.hasSymbolBuckets=!1,this.buckets){var i=this.buckets[n];if(i instanceof Mc){if(this.hasSymbolBuckets=!0,!r)break;i.justReloaded=!0}}if(this.hasRTLText=!1,this.hasSymbolBuckets)for(var a in this.buckets){var o=this.buckets[a];if(o instanceof Mc&&o.hasRTLText){this.hasRTLText=!0,hi.isLoading()||hi.isLoaded()||\"deferred\"!==ui()||fi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new na},du.prototype.unloadVectorData=function(){for(var t in this.buckets)this.buckets[t].destroy();this.buckets={},this.imageAtlasTexture&&this.imageAtlasTexture.destroy(),this.imageAtlas&&(this.imageAtlas=null),this.glyphAtlasTexture&&this.glyphAtlasTexture.destroy(),this.latestFeatureIndex=null,this.state=\"unloaded\"},du.prototype.getBucket=function(t){return this.buckets[t.id]},du.prototype.upload=function(t){for(var e in this.buckets){var r=this.buckets[e];r.uploadPending()&&r.upload(t)}var n=t.gl;this.imageAtlas&&!this.imageAtlas.uploaded&&(this.imageAtlasTexture=new Vc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Vc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},du.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},du.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,c){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:c,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},du.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=sn(e&&e.filter),s=this.tileID.canonical,l=s.z,c=s.x,u=s.y,f={z:l,x:c,y:u},h=0;h<a.length;h++){var p=a.feature(h);if(o.filter(new pi(this.tileID.overscaledZ),p)){var d=r.getId(p,i),g=new su(p,l,c,u,d);g.tile=f,t.push(g)}}}},du.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},du.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},du.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=A(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},du.prototype.getExpiryTimeout=function(){if(this.expirationTime)return this.expiredRequestCount?1e3*(1<<Math.min(this.expiredRequestCount-1,31)):Math.min(this.expirationTime-(new Date).getTime(),Math.pow(2,31)-1)},du.prototype.setFeatureState=function(t,e){if(this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData&&0!==Object.keys(t).length){var r=this.latestFeatureIndex.loadVTLayers();for(var n in this.buckets)if(e.style.hasLayer(n)){var i=this.buckets[n],a=i.layers[0].sourceLayer||\"_geojsonTileLayer\",o=r[a],s=t[a];if(o&&s&&0!==Object.keys(s).length){i.update(s,o,this.imageAtlas&&this.imageAtlas.patternPositions||{});var l=e&&e.style&&e.style.getLayer(n);l&&(this.queryPadding=Math.max(this.queryPadding,l.queryRadius(i)))}}}},du.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},du.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<R.now()},du.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},du.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=R.now()+t},du.prototype.setDependencies=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){r[i[n]]=!0}this.dependencies[t]=r},du.prototype.hasDependency=function(t,e){for(var r=0,n=t;r<n.length;r+=1){var i=n[r],a=this.dependencies[i];if(a)for(var o=0,s=e;o<s.length;o+=1){if(a[s[o]])return!0}}return!1};var 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r},t.makeRequest=yt,t.mapObject=v,t.mercatorXfromLng=Jc,t.mercatorYfromLat=Kc,t.mercatorZfromAltitude=Qc,t.mul=go,t.multiply=po,t.mvt=Ls,t.normalize=function(t,e){var r=e[0],n=e[1],i=e[2],a=r*r+n*n+i*i;return a>0&&(a=1/Math.sqrt(a)),t[0]=e[0]*a,t[1]=e[1]*a,t[2]=e[2]*a,t},t.number=qe,t.offscreenCanvasSupported=pt,t.ortho=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t},t.parseGlyphPBF=function(t){return new al(t).readFields(Tl,[])},t.pbf=al,t.performSymbolLayout=function(t,e,r,n,i,a,o){t.createArrays();var s=512*t.overscaling;t.tilePixelRatio=8192/s,t.compareText={},t.iconsNeedLinear=!1;var l=t.layers[0].layout,c=t.layers[0]._unevaluatedLayout._values,u={};if(\"composite\"===t.textSizeData.kind){var f=t.textSizeData,h=f.minZoom,p=f.maxZoom;u.compositeTextSizes=[c[\"text-size\"].possiblyEvaluate(new 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m=(c+1)%2;(0===c?r-i<=d:n-i<=g)&&(o.push(f),o.push(p-1),o.push(m)),(0===c?r+i>=d:n+i>=g)&&(o.push(p+1),o.push(u),o.push(m))}}return s}(this.ids,this.coords,t,e,r,this.nodeSize)};var j={minZoom:0,maxZoom:16,radius:40,extent:512,nodeSize:64,log:!1,generateId:!1,reduce:null,map:function(t){return t}},U=function(t){this.options=X(Object.create(j),t),this.trees=new Array(this.options.maxZoom+1)};function V(t,e,r,n,i){return{x:t,y:e,zoom:1/0,id:r,parentId:-1,numPoints:n,properties:i}}function H(t,e){var r=t.geometry.coordinates,n=r[0],i=r[1];return{x:Y(n),y:W(i),zoom:1/0,index:e,parentId:-1}}function q(t){return{type:\"Feature\",id:t.id,properties:G(t),geometry:{type:\"Point\",coordinates:[(n=t.x,360*(n-.5)),(e=t.y,r=(180-360*e)*Math.PI/180,360*Math.atan(Math.exp(r))/Math.PI-90)]}};var e,r,n}function G(t){var e=t.numPoints,r=e>=1e4?Math.round(e/1e3)+\"k\":e>=1e3?Math.round(e/100)/10+\"k\":e;return 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r=0;r<e.length;r+=3)t.minX=Math.min(t.minX,e[r]),t.minY=Math.min(t.minY,e[r+1]),t.maxX=Math.max(t.maxX,e[r]),t.maxY=Math.max(t.maxY,e[r+1])}function tt(t,e,r,n){if(e.geometry){var i=e.geometry.coordinates,a=e.geometry.type,o=Math.pow(r.tolerance/((1<<r.maxZoom)*r.extent),2),s=[],l=e.id;if(r.promoteId?l=e.properties[r.promoteId]:r.generateId&&(l=n||0),\"Point\"===a)et(i,s);else if(\"MultiPoint\"===a)for(var c=0;c<i.length;c++)et(i[c],s);else if(\"LineString\"===a)rt(i,s,o,!1);else if(\"MultiLineString\"===a){if(r.lineMetrics){for(c=0;c<i.length;c++)s=[],rt(i[c],s,o,!1),t.push(Q(l,\"LineString\",s,e.properties));return}nt(i,s,o,!1)}else if(\"Polygon\"===a)nt(i,s,o,!0);else{if(\"MultiPolygon\"!==a){if(\"GeometryCollection\"===a){for(c=0;c<e.geometry.geometries.length;c++)tt(t,{id:l,geometry:e.geometry.geometries[c],properties:e.properties},r,n);return}throw new Error(\"Input data is not a valid GeoJSON object.\")}for(c=0;c<i.length;c++){var 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u=t[c],f=u.geometry,h=u.type,p=0===i?u.minX:u.minY,d=0===i?u.maxX:u.maxY;if(p>=r&&d<n)l.push(u);else if(!(d<r||p>=n)){var g=[];if(\"Point\"===h||\"MultiPoint\"===h)st(f,g,r,n,i);else if(\"LineString\"===h)lt(f,g,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===h)ut(f,g,r,n,i,!1);else if(\"Polygon\"===h)ut(f,g,r,n,i,!0);else if(\"MultiPolygon\"===h)for(var m=0;m<f.length;m++){var v=[];ut(f[m],v,r,n,i,!0),v.length&&g.push(v)}if(g.length){if(s.lineMetrics&&\"LineString\"===h){for(m=0;m<g.length;m++)l.push(Q(u.id,h,g[m],u.tags));continue}\"LineString\"!==h&&\"MultiLineString\"!==h||(1===g.length?(h=\"LineString\",g=g[0]):h=\"MultiLineString\"),\"Point\"!==h&&\"MultiPoint\"!==h||(h=3===g.length?\"Point\":\"MultiPoint\"),l.push(Q(u.id,h,g,u.tags))}}}return l.length?l:null}function st(t,e,r,n,i){for(var a=0;a<t.length;a+=3){var o=t[a+i];o>=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function lt(t,e,r,n,i,a,o){for(var 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r=[],n=0;n<t.length;n++){var i,a=t[n],o=a.type;if(\"Point\"===o||\"MultiPoint\"===o||\"LineString\"===o)i=gt(a.geometry,e);else if(\"MultiLineString\"===o||\"Polygon\"===o){i=[];for(var s=0;s<a.geometry.length;s++)i.push(gt(a.geometry[s],e))}else if(\"MultiPolygon\"===o)for(i=[],s=0;s<a.geometry.length;s++){for(var l=[],c=0;c<a.geometry[s].length;c++)l.push(gt(a.geometry[s][c],e));i.push(l)}r.push(Q(a.id,o,i,a.tags))}return r}function gt(t,e){var r=[];r.size=t.size,void 0!==t.start&&(r.start=t.start,r.end=t.end);for(var n=0;n<t.length;n+=3)r.push(t[n]+e,t[n+1],t[n+2]);return r}function mt(t,e){if(t.transformed)return t;var r,n,i,a=1<<t.z,o=t.x,s=t.y;for(r=0;r<t.features.length;r++){var l=t.features[r],c=l.geometry,u=l.type;if(l.geometry=[],1===u)for(n=0;n<c.length;n+=2)l.geometry.push(vt(c[n],c[n+1],e,a,o,s));else for(n=0;n<c.length;n++){var f=[];for(i=0;i<c[n].length;i+=2)f.push(vt(c[n][i],c[n][i+1],e,a,o,s));l.geometry.push(f)}}return t.transformed=!0,t}function 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u={},e.tags)u[f]=e.tags[f];u.mapbox_clip_start=i.start/i.size,u.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:u};null!==e.id&&(h.id=e.id),t.features.push(h)}}function bt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function _t(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)tt(r,t.features[n],e,n);else\"Feature\"===t.type?tt(r,t,e):tt(r,{geometry:t},e);return r}(t,e);this.tiles={},this.tileCoords=[],r&&(console.timeEnd(\"preprocess data\"),console.log(\"index: maxZoom: %d, maxPoints: %d\",e.indexMaxZoom,e.indexMaxPoints),console.time(\"generate tiles\"),this.stats={},this.total=0),(n=function(t,e){var r=e.buffer/e.extent,n=t,i=ot(t,1,-1-r,r,0,-1,2,e),a=ot(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=ot(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=dt(i,1).concat(n)),a&&(n=n.concat(dt(a,-1)))),n}(n,e)).length&&this.splitTile(n,0,0,0),r&&(n.length&&console.log(\"features: %d, points: %d\",this.tiles[0].numFeatures,this.tiles[0].numPoints),console.timeEnd(\"generate tiles\"),console.log(\"tiles generated:\",this.total,JSON.stringify(this.stats)))}function wt(t,e,r){return 32*((1<<t)*r+e)+t}function Tt(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new m(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}U.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new N(s,Z,J,a,Float32Array),r&&console.timeEnd(o);for(var c=i;c>=n;c--){var u=+Date.now();s=this._cluster(s,c),this.trees[c]=new N(s,Z,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",c,s.length,+Date.now()-u)}return r&&console.timeEnd(\"total time\"),this},U.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],c=[],u=0,f=l.range(Y(r),W(a),Y(i),W(n));u<f.length;u+=1){var h=f[u],p=l.points[h];c.push(p.numPoints?q(p):this.points[p.index])}return c},U.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,c=i.within(a.x,a.y,o);l<c.length;l+=1){var u=c[l],f=i.points[u];f.parentId===t&&s.push(f.numPoints?q(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},U.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},U.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,c=(r+1+s)/i,u={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,c),n.points,e,r,i,u),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,c),n.points,i,r,i,u),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,c),n.points,-1,r,i,u),u.features.length?u:null},U.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},U.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},U.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],c=l.numPoints,u={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:c?G(l):this.points[l.index].properties},f=void 0;c?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(u.id=f),a.features.push(u)}},U.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(t,this.options.maxZoom+1))},U.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var c=t[l];if(!(c.zoom<=e)){c.zoom=e;for(var u=this.trees[e+1],f=u.within(c.x,c.y,s),h=c.numPoints||1,p=c.x*h,d=c.y*h,g=o&&h>1?this._map(c,!0):null,m=(l<<5)+(e+1)+this.points.length,v=0,y=f;v<y.length;v+=1){var x=y[v],b=u.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=m,o&&(g||(g=this._map(c,!0)),o(g,this._map(b)))}}1===h?r.push(c):(c.parentId=m,r.push(V(p/h,d/h,m,h,g)))}}return r},U.prototype._getOriginId=function(t){return t-this.points.length>>5},U.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},U.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},_t.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},_t.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,c=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var u=1<<e,f=wt(e,r,n),h=this.tiles[f];if(!h&&(c>1&&console.time(\"creation\"),h=this.tiles[f]=yt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),c)){c>1&&(console.log(\"tile z%d-%d-%d (features: %d, points: %d, simplified: %d)\",e,r,n,h.numFeatures,h.numPoints,h.numSimplified),console.timeEnd(\"creation\"));var p=\"z\"+e;this.stats[p]=(this.stats[p]||0)+1,this.total++}if(h.source=t,i){if(e===l.maxZoom||e===i)continue;var d=1<<i-e;if(r!==Math.floor(a/d)||n!==Math.floor(o/d))continue}else if(e===l.indexMaxZoom||h.numPoints<=l.indexMaxPoints)continue;if(h.source=null,0!==t.length){c>1&&console.time(\"clipping\");var g,m,v,y,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;g=m=v=y=null,x=ot(t,u,r-_,r+T,0,h.minX,h.maxX,l),b=ot(t,u,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(g=ot(x,u,n-_,n+T,1,h.minY,h.maxY,l),m=ot(x,u,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(v=ot(b,u,n-_,n+T,1,h.minY,h.maxY,l),y=ot(b,u,n+w,n+k,1,h.minY,h.maxY,l),b=null),c>1&&console.timeEnd(\"clipping\"),s.push(g||[],e+1,2*r,2*n),s.push(m||[],e+1,2*r,2*n+1),s.push(v||[],e+1,2*r+1,2*n),s.push(y||[],e+1,2*r+1,2*n+1)}}},_t.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=wt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,c=t,u=e,f=r;!l&&c>0;)c--,u=Math.floor(u/2),f=Math.floor(f/2),l=this.tiles[wt(c,u,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",c,u,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,c,u,f,t,e,r),a>1&&console.timeEnd(\"drilling down\"),this.tiles[s]?mt(this.tiles[s],i):null):null};var kt=function(e){function r(t,r,n,i){e.call(this,t,r,n,Tt),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new U(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),c=0,u=l;c<u.length;c+=1){var f=u[c],h=n[f],p=h[0],d=h[1],g=t.createExpression(d),m=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=g.value,a[f]=m.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new _t(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON 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t.Point(r.clientX-n.left-e.clientLeft,r.clientY-n.top-e.clientTop)},r.touchPos=function(e,r){for(var n=e.getBoundingClientRect(),i=[],a=0;a<r.length;a++)i.push(new t.Point(r[a].clientX-n.left-e.clientLeft,r[a].clientY-n.top-e.clientTop));return i},r.mouseButton=function(e){return void 0!==t.window.InstallTrigger&&2===e.button&&e.ctrlKey&&t.window.navigator.platform.toUpperCase().indexOf(\"MAC\")>=0?0:e.button},r.remove=function(t){t.parentNode&&t.parentNode.removeChild(t)};var h=function(e){function r(){e.call(this),this.images={},this.updatedImages={},this.callbackDispatchedThisFrame={},this.loaded=!1,this.requestors=[],this.patterns={},this.atlasImage=new t.RGBAImage({width:1,height:1}),this.dirty=!0}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.isLoaded=function(){return this.loaded},r.prototype.setLoaded=function(t){if(this.loaded!==t&&(this.loaded=t,t)){for(var e=0,r=this.requestors;e<r.length;e+=1){var n=r[e],i=n.ids,a=n.callback;this._notify(i,a)}this.requestors=[]}},r.prototype.getImage=function(t){return this.images[t]},r.prototype.addImage=function(t,e){this._validate(t,e)&&(this.images[t]=e)},r.prototype._validate=function(e,r){var n=!0;return this._validateStretch(r.stretchX,r.data&&r.data.width)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchX\" value'))),n=!1),this._validateStretch(r.stretchY,r.data&&r.data.height)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"stretchY\" value'))),n=!1),this._validateContent(r.content,r)||(this.fire(new t.ErrorEvent(new Error('Image \"'+e+'\" has invalid \"content\" value'))),n=!1),n},r.prototype._validateStretch=function(t,e){if(!t)return!0;for(var r=0,n=0,i=t;n<i.length;n+=1){var a=i[n];if(a[0]<r||a[1]<a[0]||e<a[1])return!1;r=a[1]}return!0},r.prototype._validateContent=function(t,e){return!t||4===t.length&&(!(t[0]<0||e.data.width<t[0])&&(!(t[1]<0||e.data.height<t[1])&&(!(t[2]<0||e.data.width<t[2])&&(!(t[3]<0||e.data.height<t[3])&&(!(t[2]<t[0])&&!(t[3]<t[1]))))))},r.prototype.updateImage=function(t,e){var r=this.images[t];e.version=r.version+1,this.images[t]=e,this.updatedImages[t]=!0},r.prototype.removeImage=function(t){var e=this.images[t];delete this.images[t],delete this.patterns[t],e.userImage&&e.userImage.onRemove&&e.userImage.onRemove()},r.prototype.listImages=function(){return Object.keys(this.images)},r.prototype.getImages=function(t,e){var r=!0;if(!this.isLoaded())for(var n=0,i=t;n<i.length;n+=1){var a=i[n];this.images[a]||(r=!1)}this.isLoaded()||r?this._notify(t,e):this.requestors.push({ids:t,callback:e})},r.prototype._notify=function(e,r){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i];this.images[o]||this.fire(new t.Event(\"styleimagemissing\",{id:o}));var s=this.images[o];s?n[o]={data:s.data.clone(),pixelRatio:s.pixelRatio,sdf:s.sdf,version:s.version,stretchX:s.stretchX,stretchY:s.stretchY,content:s.content,hasRenderCallback:Boolean(s.userImage&&s.userImage.render)}:t.warnOnce('Image \"'+o+'\" could not be loaded. Please make sure you have added the image with map.addImage() or a \"sprite\" property in your style. You can provide missing images by listening for the \"styleimagemissing\" map event.')}r(null,n)},r.prototype.getPixelSize=function(){var t=this.atlasImage;return{width:t.width,height:t.height}},r.prototype.getPattern=function(e){var r=this.patterns[e],n=this.getImage(e);if(!n)return null;if(r&&r.position.version===n.version)return r.position;if(r)r.position.version=n.version;else{var i={w:n.data.width+2,h:n.data.height+2,x:0,y:0},a=new t.ImagePosition(i,n);this.patterns[e]={bin:i,position:a}}return this._updatePatternAtlas(),this.patterns[e].position},r.prototype.bind=function(e){var r=e.gl;this.atlasTexture?this.dirty&&(this.atlasTexture.update(this.atlasImage),this.dirty=!1):this.atlasTexture=new t.Texture(e,this.atlasImage,r.RGBA),this.atlasTexture.bind(r.LINEAR,r.CLAMP_TO_EDGE)},r.prototype._updatePatternAtlas=function(){var e=[];for(var r in this.patterns)e.push(this.patterns[r].bin);var n=t.potpack(e),i=n.w,a=n.h,o=this.atlasImage;for(var s in o.resize({width:i||1,height:a||1}),this.patterns){var l=this.patterns[s].bin,c=l.x+1,u=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:c,y:u-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c,y:u+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:c-1,y:u},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:c+h,y:u},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=m,d=m,g=1e20;function m(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function v(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(y(n,i,a,o,r),l=0;l<r;l++)t[l*e+s]=i[l]}for(l=0;l<r;l++){for(s=0;s<e;s++)n[s]=t[l*e+s];for(y(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function y(t,e,r,n,i){r[0]=0,n[0]=-g,n[1]=+g;for(var a=1,o=0;a<i;a++){for(var s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);s<=n[o];)o--,s=(t[a]+a*a-(t[r[o]]+r[o]*r[o]))/(2*a-2*r[o]);r[++o]=a,n[o]=s,n[o+1]=+g}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}m.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?g:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?g:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(v(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),v(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1){(0,o[i])(t,e)}delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,c=o.glyph;(n[s]||(n[s]={}))[l]=c&&{id:c.id,bitmap:c.bitmap.clone(),metrics:c.metrics}}r(null,n)}}))},x.prototype._doesCharSupportLocalGlyph=function(e){return!!this.localIdeographFontFamily&&(t.isChar[\"CJK Unified Ideographs\"](e)||t.isChar[\"Hangul Syllables\"](e)||t.isChar.Hiragana(e)||t.isChar.Katakana(e))},x.prototype._tinySDF=function(e,r,n){var i=this.localIdeographFontFamily;if(i&&this._doesCharSupportLocalGlyph(n)){var a=e.tinySDF;if(!a){var o=\"400\";/bold/i.test(r)?o=\"900\":/medium/i.test(r)?o=\"500\":/light/i.test(r)&&(o=\"200\"),a=e.tinySDF=new x.TinySDF(24,3,8,.25,i,o)}return{id:n,bitmap:new t.AlphaImage({width:30,height:30},a.draw(String.fromCharCode(n))),metrics:{width:24,height:24,left:0,top:-8,advance:24}}}},x.loadGlyphRange=function(e,r,n,i,a){var o=256*r,s=o+255,l=i.transformRequest(i.normalizeGlyphsURL(n).replace(\"{fontstack}\",e).replace(\"{range}\",o+\"-\"+s),t.ResourceType.Glyphs);t.getArrayBuffer(l,(function(e,r){if(e)a(e);else if(r){for(var n={},i=0,o=t.parseGlyphPBF(r);i<o.length;i+=1){var s=o[i];n[s.id]=s}a(null,n)}}))},x.TinySDF=p;var b=function(){this.specification=t.styleSpec.light.position};b.prototype.possiblyEvaluate=function(e,r){return t.sphericalToCartesian(e.expression.evaluate(r))},b.prototype.interpolate=function(e,r,n){return{x:t.number(e.x,r.x,n),y:t.number(e.y,r.y,n),z:t.number(e.z,r.z,n)}};var _=new t.Properties({anchor:new t.DataConstantProperty(t.styleSpec.light.anchor),position:new b,color:new t.DataConstantProperty(t.styleSpec.light.color),intensity:new t.DataConstantProperty(t.styleSpec.light.intensity)}),w=function(e){function r(r){e.call(this),this._transitionable=new t.Transitionable(_),this.setLight(r),this._transitioning=this._transitionable.untransitioned()}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getLight=function(){return this._transitionable.serialize()},r.prototype.setLight=function(e,r){if(void 0===r&&(r={}),!this._validate(t.validateLight,e,r))for(var n in e){var i=e[n];t.endsWith(n,\"-transition\")?this._transitionable.setTransition(n.slice(0,-\"-transition\".length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),T=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};T.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},T.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var c=t[l];i=s*r,a=(s+=c)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===c})}return n},T.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=void 0,d=i/r*(n+1);if(l.isDash){var g=n-Math.abs(d);p=Math.sqrt(h*h+g*g)}else p=n-Math.sqrt(h*h+d*d);this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],c=0;c<this.width;c++){c/l.right>1&&(l=t[++s]);var u=Math.abs(c-l.left),f=Math.abs(c-l.right),h=Math.min(u,f),p=l.isDash?h:-h;this.data[o+c]=Math.max(0,Math.min(255,p+128))}},T.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var c={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,c},T.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var k=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function A(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}k.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},k.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},k.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},k.Actor=t.Actor;var M=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};M.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},M.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var S=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),E=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=A(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new M(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),this.type=\"raster-dem\",this.maxzoom=22,this._options=t.extend({type:\"raster-dem\"},n),this.encoding=n.encoding||\"mapbox\"}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.serialize=function(){return{type:\"raster-dem\",url:this.url,tileSize:this.tileSize,tiles:this.tiles,bounds:this.bounds,encoding:this.encoding}},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);function i(t,n){t&&(e.state=\"errored\",r(t)),n&&(e.dem=n,e.needsHillshadePrepare=!0,e.state=\"loaded\",r(null))}e.request=t.getImage(this.map._requestManager.transformRequest(n,t.ResourceType.Tile),function(n,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(n)e.state=\"errored\",r(n);else if(a){this.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=t.window.ImageBitmap&&a instanceof t.window.ImageBitmap&&t.offscreenCanvasSupported()?a:t.browser.getImageData(a,1),s={uid:e.uid,coord:e.tileID,source:this.id,rawImageData:o,encoding:this.encoding};e.actor&&\"expired\"!==e.state||(e.actor=this.dispatcher.getActor(),e.actor.send(\"loadDEMTile\",s,i.bind(this)))}}.bind(this)),e.neighboringTiles=this._getNeighboringTiles(e.tileID)},r.prototype._getNeighboringTiles=function(e){var r=e.canonical,n=Math.pow(2,r.z),i=(r.x-1+n)%n,a=0===r.x?e.wrap-1:e.wrap,o=(r.x+1+n)%n,s=r.x+1===n?e.wrap+1:e.wrap,l={};return l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y).key]={backfilled:!1},r.y>0&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y-1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y-1).key]={backfilled:!1}),r.y+1<n&&(l[new t.OverscaledTileID(e.overscaledZ,a,r.z,i,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,e.wrap,r.z,r.x,r.y+1).key]={backfilled:!1},l[new t.OverscaledTileID(e.overscaledZ,s,r.z,o,r.y+1).key]={backfilled:!1}),l},r.prototype.unloadTile=function(t){t.demTexture&&this.map.painter.saveTileTexture(t.demTexture),t.fbo&&(t.fbo.destroy(),delete t.fbo),t.dem&&delete t.dem,delete t.neighboringTiles,t.state=\"unloaded\",t.actor&&t.actor.send(\"removeDEMTile\",{uid:t.uid,source:this.id})},r}(E),C=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),P=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2},{name:\"a_texture_pos\",type:\"Int16\",components:2}]),I=function(e){function r(t,r,n,i){e.call(this),this.id=t,this.dispatcher=n,this.coordinates=r.coordinates,this.type=\"image\",this.minzoom=0,this.maxzoom=22,this.tileSize=512,this.tiles={},this._loaded=!1,this.setEventedParent(i),this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(e,r){var n=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this.url=this.options.url,t.getImage(this.map._requestManager.transformRequest(this.url,t.ResourceType.Image),(function(i,a){n._loaded=!0,i?n.fire(new t.ErrorEvent(i)):a&&(n.image=a,e&&(n.coordinates=e),r&&r(),n._finishLoading())}))},r.prototype.loaded=function(){return this._loaded},r.prototype.updateImage=function(t){var e=this;return this.image&&t.url?(this.options.url=t.url,this.load(t.coordinates,(function(){e.texture=null})),this):this},r.prototype._finishLoading=function(){this.map&&(this.setCoordinates(this.coordinates),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setCoordinates=function(e){var r=this;this.coordinates=e;var n=e.map(t.MercatorCoordinate.fromLngLat);this.tileID=function(e){for(var r=1/0,n=1/0,i=-1/0,a=-1/0,o=0,s=e;o<s.length;o+=1){var l=s[o];r=Math.min(r,l.x),n=Math.min(n,l.y),i=Math.max(i,l.x),a=Math.max(a,l.y)}var c=i-r,u=a-n,f=Math.max(c,u),h=Math.max(0,Math.floor(-Math.log(f)/Math.LN2)),p=Math.pow(2,h);return new t.CanonicalTileID(h,Math.floor((r+i)/2*p),Math.floor((n+a)/2*p))}(n),this.minzoom=this.maxzoom=this.tileID.z;var i=n.map((function(t){return r.tileID.getTilePoint(t)._round()}));return this._boundsArray=new t.StructArrayLayout4i8,this._boundsArray.emplaceBack(i[0].x,i[0].y,0,0),this._boundsArray.emplaceBack(i[1].x,i[1].y,t.EXTENT,0),this._boundsArray.emplaceBack(i[3].x,i[3].y,0,t.EXTENT),this._boundsArray.emplaceBack(i[2].x,i[2].y,t.EXTENT,t.EXTENT),this.boundsBuffer&&(this.boundsBuffer.destroy(),delete this.boundsBuffer),this.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})),this},r.prototype.prepare=function(){if(0!==Object.keys(this.tiles).length&&this.image){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture||(this.texture=new t.Texture(e,this.image,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.loadTile=function(t,e){this.tileID&&this.tileID.equals(t.tileID.canonical)?(this.tiles[String(t.tileID.wrap)]=t,t.buckets={},e(null)):(t.state=\"errored\",e(null))},r.prototype.serialize=function(){return{type:\"image\",url:this.options.url,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return!1},r}(t.Evented);var O=function(e){function r(t,r,n,i){e.call(this,t,r,n,i),this.roundZoom=!0,this.type=\"video\",this.options=r}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1;var r=this.options;this.urls=[];for(var n=0,i=r.urls;n<i.length;n+=1){var a=i[n];this.urls.push(this.map._requestManager.transformRequest(a,t.ResourceType.Source).url)}t.getVideo(this.urls,(function(r,n){e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(e.video=n,e.video.loop=!0,e.video.addEventListener(\"playing\",(function(){e.map.triggerRepaint()})),e.map&&e.video.play(),e._finishLoading())}))},r.prototype.pause=function(){this.video&&this.video.pause()},r.prototype.play=function(){this.video&&this.video.play()},r.prototype.seek=function(e){if(this.video){var r=this.video.seekable;e<r.start(0)||e>r.end(0)?this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+this.id,null,\"Playback for this video can be set only between the \"+r.start(0)+\" and \"+r.end(0)+\"-second mark.\"))):this.video.currentTime=e}},r.prototype.getVideo=function(){return this.video},r.prototype.onAdd=function(t){this.map||(this.map=t,this.load(),this.video&&(this.video.play(),this.setCoordinates(this.coordinates)))},r.prototype.prepare=function(){if(!(0===Object.keys(this.tiles).length||this.video.readyState<2)){var e=this.map.painter.context,r=e.gl;for(var n in this.boundsBuffer||(this.boundsBuffer=e.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?this.video.paused||(this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE),r.texSubImage2D(r.TEXTURE_2D,0,0,0,r.RGBA,r.UNSIGNED_BYTE,this.video)):(this.texture=new t.Texture(e,this.video,r.RGBA),this.texture.bind(r.LINEAR,r.CLAMP_TO_EDGE)),this.tiles){var i=this.tiles[n];\"loaded\"!==i.state&&(i.state=\"loaded\",i.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"video\",urls:this.urls,coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this.video&&!this.video.paused},r}(I),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,P.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var 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e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(_t),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(_t),kt=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new wt(t,a),n&&(this.depthAttachment=new Tt(t,a))};kt.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var At=function(t,e,r){this.func=t,this.mask=e,this.range=r};At.ReadOnly=!1,At.ReadWrite=!0,At.disabled=new At(519,At.ReadOnly,[0,1]);var Mt=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Mt.disabled=new Mt({func:519,mask:0},0,0,7680,7680,7680);var St=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};St.disabled=new St(St.Replace=[1,0],t.Color.transparent,[!1,!1,!1,!1]),St.unblended=new St(St.Replace,t.Color.transparent,[!0,!0,!0,!0]),St.alphaBlended=new St([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Et=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Et.disabled=new Et(!1,1029,2305),Et.backCCW=new Et(!0,1029,2305);var Lt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new q(this),this.clearDepth=new G(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new Z(this),this.stencilFunc=new J(this),this.stencilOp=new K(this),this.stencilTest=new Q(this),this.depthRange=new $(this),this.depthTest=new tt(this),this.depthFunc=new et(this),this.blend=new rt(this),this.blendFunc=new nt(this),this.blendColor=new it(this),this.blendEquation=new at(this),this.cullFace=new ot(this),this.cullFaceSide=new st(this),this.frontFace=new lt(this),this.program=new ct(this),this.activeTexture=new ut(this),this.viewport=new ft(this),this.bindFramebuffer=new ht(this),this.bindRenderbuffer=new pt(this),this.bindTexture=new dt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new mt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new vt(this),this.pixelStoreUnpack=new yt(this),this.pixelStoreUnpackPremultiplyAlpha=new xt(this),this.pixelStoreUnpackFlipY=new bt(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\")};Lt.prototype.setDefault=function(){this.unbindVAO(),this.clearColor.setDefault(),this.clearDepth.setDefault(),this.clearStencil.setDefault(),this.colorMask.setDefault(),this.depthMask.setDefault(),this.stencilMask.setDefault(),this.stencilFunc.setDefault(),this.stencilOp.setDefault(),this.stencilTest.setDefault(),this.depthRange.setDefault(),this.depthTest.setDefault(),this.depthFunc.setDefault(),this.blend.setDefault(),this.blendFunc.setDefault(),this.blendColor.setDefault(),this.blendEquation.setDefault(),this.cullFace.setDefault(),this.cullFaceSide.setDefault(),this.frontFace.setDefault(),this.program.setDefault(),this.activeTexture.setDefault(),this.bindFramebuffer.setDefault(),this.pixelStoreUnpack.setDefault(),this.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.pixelStoreUnpackFlipY.setDefault()},Lt.prototype.setDirty=function(){this.clearColor.dirty=!0,this.clearDepth.dirty=!0,this.clearStencil.dirty=!0,this.colorMask.dirty=!0,this.depthMask.dirty=!0,this.stencilMask.dirty=!0,this.stencilFunc.dirty=!0,this.stencilOp.dirty=!0,this.stencilTest.dirty=!0,this.depthRange.dirty=!0,this.depthTest.dirty=!0,this.depthFunc.dirty=!0,this.blend.dirty=!0,this.blendFunc.dirty=!0,this.blendColor.dirty=!0,this.blendEquation.dirty=!0,this.cullFace.dirty=!0,this.cullFaceSide.dirty=!0,this.frontFace.dirty=!0,this.program.dirty=!0,this.activeTexture.dirty=!0,this.viewport.dirty=!0,this.bindFramebuffer.dirty=!0,this.bindRenderbuffer.dirty=!0,this.bindTexture.dirty=!0,this.bindVertexBuffer.dirty=!0,this.bindElementBuffer.dirty=!0,this.extVertexArrayObject&&(this.bindVertexArrayOES.dirty=!0),this.pixelStoreUnpack.dirty=!0,this.pixelStoreUnpackPremultiplyAlpha.dirty=!0,this.pixelStoreUnpackFlipY.dirty=!0},Lt.prototype.createIndexBuffer=function(t,e){return new j(this,t,e)},Lt.prototype.createVertexBuffer=function(t,e,r){return new V(this,t,e,r)},Lt.prototype.createRenderbuffer=function(t,e,r){var n=this.gl,i=n.createRenderbuffer();return this.bindRenderbuffer.set(i),n.renderbufferStorage(n.RENDERBUFFER,t,e,r),this.bindRenderbuffer.set(null),i},Lt.prototype.createFramebuffer=function(t,e,r){return new kt(this,t,e,r)},Lt.prototype.clear=function(t){var e=t.color,r=t.depth,n=this.gl,i=0;e&&(i|=n.COLOR_BUFFER_BIT,this.clearColor.set(e),this.colorMask.set([!0,!0,!0,!0])),void 0!==r&&(i|=n.DEPTH_BUFFER_BIT,this.depthRange.set([0,1]),this.clearDepth.set(r),this.depthMask.set(!0)),n.clear(i)},Lt.prototype.setCullFace=function(t){!1===t.enable?this.cullFace.set(!1):(this.cullFace.set(!0),this.cullFaceSide.set(t.mode),this.frontFace.set(t.frontFace))},Lt.prototype.setDepthMode=function(t){t.func!==this.gl.ALWAYS||t.mask?(this.depthTest.set(!0),this.depthFunc.set(t.func),this.depthMask.set(t.mask),this.depthRange.set(t.range)):this.depthTest.set(!1)},Lt.prototype.setStencilMode=function(t){t.test.func!==this.gl.ALWAYS||t.mask?(this.stencilTest.set(!0),this.stencilMask.set(t.mask),this.stencilOp.set([t.fail,t.depthFail,t.pass]),this.stencilFunc.set({func:t.test.func,ref:t.ref,mask:t.test.mask})):this.stencilTest.set(!1)},Lt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,St.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Lt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ct=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new D[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new N(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.getRenderableIds=function(e){var r=this,n=[];for(var i in this._tiles)this._isIdRenderable(i,e)&&n.push(this._tiles[i]);return e?n.sort((function(e,n){var i=e.tileID,a=n.tileID,o=new t.Point(i.canonical.x,i.canonical.y)._rotate(r.transform.angle),s=new t.Point(a.canonical.x,a.canonical.y)._rotate(r.transform.angle);return i.overscaledZ-a.overscaledZ||s.y-o.y||s.x-o.x})).map((function(t){return t.tileID.key})):n.map((function(t){return t.tileID})).sort(Pt).map((function(t){return t.key}))},r.prototype.hasRenderableParent=function(t){var e=this.findLoadedParent(t,0);return!!e&&this._isIdRenderable(e.tileID.key)},r.prototype._isIdRenderable=function(t,e){return this._tiles[t]&&this._tiles[t].hasData()&&!this._coveredTiles[t]&&(e||!this._tiles[t].holdingForFade())},r.prototype.reload=function(){if(this._paused)this._shouldReloadOnResume=!0;else for(var t in this._cache.reset(),this._tiles)\"errored\"!==this._tiles[t].state&&this._reloadTile(t,\"reloading\")},r.prototype._reloadTile=function(t,e){var r=this._tiles[t];r&&(\"loading\"!==r.state&&(r.state=e),this._loadTile(r,this._tileLoaded.bind(this,r,t,e)))},r.prototype._tileLoaded=function(e,r,n,i){if(i)return e.state=\"errored\",void(404!==i.status?this._source.fire(new t.ErrorEvent(i,{tile:e})):this.update(this.transform));e.timeAdded=t.browser.now(),\"expired\"===n&&(e.refreshedUponExpiration=!0),this._setTileReloadTimer(r,e),\"raster-dem\"===this.getSource().type&&e.dem&&this._backfillDEM(e),this._state.initializeTileState(e,this.map?this.map.painter:null),this._source.fire(new t.Event(\"data\",{dataType:\"source\",tile:e,coord:e.tileID}))},r.prototype._backfillDEM=function(t){for(var e=this.getRenderableIds(),r=0;r<e.length;r++){var n=e[r];if(t.neighboringTiles&&t.neighboringTiles[n]){var i=this.getTileByID(n);a(t,i),a(i,t)}}function a(t,e){t.needsHillshadePrepare=!0;var r=e.tileID.canonical.x-t.tileID.canonical.x,n=e.tileID.canonical.y-t.tileID.canonical.y,i=Math.pow(2,t.tileID.canonical.z),a=e.tileID.key;0===r&&0===n||Math.abs(n)>1||(Math.abs(r)>1&&(1===Math.abs(r+i)?r+=i:1===Math.abs(r-i)&&(r-=i)),e.dem&&t.dem&&(t.dem.backfillBorder(e.dem,r,n),t.neighboringTiles&&t.neighboringTiles[a]&&(t.neighboringTiles[a].backfilled=!0)))}},r.prototype.getTile=function(t){return this.getTileByID(t.key)},r.prototype.getTileByID=function(t){return this._tiles[t]},r.prototype._retainLoadedChildren=function(t,e,r,n){for(var i in this._tiles){var a=this._tiles[i];if(!(n[i]||!a.hasData()||a.tileID.overscaledZ<=e||a.tileID.overscaledZ>r)){for(var o=a.tileID;a&&a.tileID.overscaledZ>e+1;){var s=a.tileID.scaledTo(a.tileID.overscaledZ-1);(a=this._tiles[s.key])&&a.hasData()&&(o=s)}for(var l=o;l.overscaledZ>e;)if(t[(l=l.scaledTo(l.overscaledZ-1)).key]){n[o.key]=o;break}}}},r.prototype.findLoadedParent=function(t,e){if(t.key in this._loadedParentTiles){var r=this._loadedParentTiles[t.key];return r&&r.tileID.overscaledZ>=e?r:null}for(var n=t.overscaledZ-1;n>=e;n--){var i=t.scaledTo(n),a=this._getLoadedTile(i);if(a)return a}},r.prototype._getLoadedTile=function(t){var e=this._tiles[t.key];return e&&e.hasData()?e:this._cache.getByKey(t.wrapped().key)},r.prototype.updateCacheSize=function(t){var e=(Math.ceil(t.width/this._source.tileSize)+1)*(Math.ceil(t.height/this._source.tileSize)+1),r=Math.floor(5*e),n=\"number\"==typeof this._maxTileCacheSize?Math.min(this._maxTileCacheSize,r):r;this._cache.setMaxSize(n)},r.prototype.handleWrapJump=function(t){var e=(t-(void 0===this._prevLng?t:this._prevLng))/360,r=Math.round(e);if(this._prevLng=t,r){var n={};for(var i in this._tiles){var a=this._tiles[i];a.tileID=a.tileID.unwrapTo(a.tileID.wrap+r),n[a.tileID.key]=a}for(var o in this._tiles=n,this._timers)clearTimeout(this._timers[o]),delete this._timers[o];for(var s in this._tiles){var l=this._tiles[s];this._setTileReloadTimer(s,l)}}},r.prototype.update=function(e){var n=this;if(this.transform=e,this._sourceLoaded&&!this._paused){var i;this.updateCacheSize(e),this.handleWrapJump(this.transform.center.lng),this._coveredTiles={},this.used?this._source.tileID?i=e.getVisibleUnwrappedCoordinates(this._source.tileID).map((function(e){return new t.OverscaledTileID(e.canonical.z,e.wrap,e.canonical.z,e.canonical.x,e.canonical.y)})):(i=e.coveringTiles({tileSize:this._source.tileSize,minzoom:this._source.minzoom,maxzoom:this._source.maxzoom,roundZoom:this._source.roundZoom,reparseOverscaled:this._source.reparseOverscaled}),this._source.hasTile&&(i=i.filter((function(t){return n._source.hasTile(t)})))):i=[];var a=e.coveringZoomLevel(this._source),o=Math.max(a-r.maxOverzooming,this._source.minzoom),s=Math.max(a+r.maxUnderzooming,this._source.minzoom),l=this._updateRetainedTiles(i,a);if(It(this._source.type)){for(var c={},u={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],g=this._tiles[p];if(g&&!(g.fadeEndTime&&g.fadeEndTime<=t.browser.now())){var m=this.findLoadedParent(d,o);m&&(this._addTile(m.tileID),c[m.tileID.key]=m.tileID),u[p]=d}}for(var v in this._retainLoadedChildren(u,a,s,l),c)l[v]||(this._coveredTiles[v]=!0,l[v]=c[v])}for(var y in l)this._tiles[y].clearFadeHold();for(var x=0,b=t.keysDifference(this._tiles,l);x<b.length;x+=1){var _=b[x],w=this._tiles[_];w.hasSymbolBuckets&&!w.holdingForFade()?w.setHoldDuration(this.map._fadeDuration):w.hasSymbolBuckets&&!w.symbolFadeFinished()||this._removeTile(_)}this._updateLoadedParentTileCache()}},r.prototype.releaseSymbolFadeTiles=function(){for(var t in this._tiles)this._tiles[t].holdingForFade()&&this._removeTile(t)},r.prototype._updateRetainedTiles=function(t,e){for(var n={},i={},a=Math.max(e-r.maxOverzooming,this._source.minzoom),o=Math.max(e+r.maxUnderzooming,this._source.minzoom),s={},l=0,c=t;l<c.length;l+=1){var u=c[l],f=this._addTile(u);n[u.key]=u,f.hasData()||e<this._source.maxzoom&&(s[u.key]=u)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],g=this._tiles[d.key];if(!g.hasData()){if(e+1>this._source.maxzoom){var m=d.children(this._source.maxzoom)[0],v=this.getTile(m);if(v&&v.hasData()){n[m.key]=m;continue}}else{var y=d.children(this._source.maxzoom);if(n[y[0].key]&&n[y[1].key]&&n[y[2].key]&&n[y[3].key])continue}for(var x=g.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(g=this.getTile(_))&&x&&(g=this._addTile(_)),g&&(n[_.key]=_,x=g.wasRequested(),g.hasData()))break}}}return n},r.prototype._updateLoadedParentTileCache=function(){for(var t in this._loadedParentTiles={},this._tiles){for(var e=[],r=void 0,n=this._tiles[t].tileID;n.overscaledZ>0;){if(n.key in this._loadedParentTiles){r=this._loadedParentTiles[n.key];break}e.push(n.key);var i=n.scaledTo(n.overscaledZ-1);if(r=this._getLoadedTile(i))break;n=i}for(var a=0,o=e;a<o.length;a+=1){var s=o[a];this._loadedParentTiles[s]=r}}},r.prototype._addTile=function(e){var r=this._tiles[e.key];if(r)return r;(r=this._cache.getAndRemove(e))&&(this._setTileReloadTimer(e.key,r),r.tileID=e,this._state.initializeTileState(r,this.map?this.map.painter:null),this._cacheTimers[e.key]&&(clearTimeout(this._cacheTimers[e.key]),delete this._cacheTimers[e.key],this._setTileReloadTimer(e.key,r)));var n=Boolean(r);return n||(r=new t.Tile(e,this._source.tileSize*e.overscaleFactor()),this._loadTile(r,this._tileLoaded.bind(this,r,e.key,r.state))),r?(r.uses++,this._tiles[e.key]=r,n||this._source.fire(new t.Event(\"dataloading\",{tile:r,coord:r.tileID,dataType:\"source\"})),r):null},r.prototype._setTileReloadTimer=function(t,e){var r=this;t in this._timers&&(clearTimeout(this._timers[t]),delete this._timers[t]);var n=e.getExpiryTimeout();n&&(this._timers[t]=setTimeout((function(){r._reloadTile(t,\"expired\"),delete r._timers[t]}),n))},r.prototype._removeTile=function(t){var e=this._tiles[t];e&&(e.uses--,delete this._tiles[t],this._timers[t]&&(clearTimeout(this._timers[t]),delete this._timers[t]),e.uses>0||(e.hasData()&&\"reloading\"!==e.state?this._cache.add(e.tileID,e,e.getExpiryTimeout()):(e.aborted=!0,this._abortTile(e),this._unloadTile(e))))},r.prototype.clearTiles=function(){for(var t in this._shouldReloadOnResume=!1,this._paused=!1,this._tiles)this._removeTile(t);this._cache.reset()},r.prototype.tilesIn=function(e,r,n){var i=this,a=[],o=this.transform;if(!o)return a;for(var s=n?o.getCameraQueryGeometry(e):e,l=e.map((function(t){return o.pointCoordinate(t)})),c=s.map((function(t){return o.pointCoordinate(t)})),u=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,g=0,m=c;g<m.length;g+=1){var v=m[g];f=Math.min(f,v.x),h=Math.min(h,v.y),p=Math.max(p,v.x),d=Math.max(d,v.y)}for(var y=function(e){var n=i._tiles[u[e]];if(!n.holdingForFade()){var s=n.tileID,g=Math.pow(2,o.zoom-n.tileID.overscaledZ),m=r*n.queryPadding*t.EXTENT/n.tileSize/g,v=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(v[0].x-m<t.EXTENT&&v[0].y-m<t.EXTENT&&v[1].x+m>=0&&v[1].y+m>=0){var y=l.map((function(t){return s.getTilePoint(t)})),x=c.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:y,cameraQueryGeometry:x,scale:g})}}},x=0;x<u.length;x++)y(x);return a},r.prototype.getVisibleCoordinates=function(t){for(var e=this,r=this.getRenderableIds(t).map((function(t){return e._tiles[t].tileID})),n=0,i=r;n<i.length;n+=1){var a=i[n];a.posMatrix=this.transform.calculatePosMatrix(a.toUnwrapped())}return r},r.prototype.hasTransition=function(){if(this._source.hasTransition())return!0;if(It(this._source.type))for(var e in this._tiles){var r=this._tiles[e];if(void 0!==r.fadeEndTime&&r.fadeEndTime>=t.browser.now())return!0}return!1},r.prototype.setFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.updateState(t,e,r)},r.prototype.removeFeatureState=function(t,e,r){t=t||\"_geojsonTileLayer\",this._state.removeFeatureState(t,e,r)},r.prototype.getFeatureState=function(t,e){return t=t||\"_geojsonTileLayer\",this._state.getState(t,e)},r.prototype.setDependencies=function(t,e,r){var n=this._tiles[t];n&&n.setDependencies(e,r)},r.prototype.reloadTilesForDependencies=function(t,e){for(var r in this._tiles){this._tiles[r].hasDependency(t,e)&&this._reloadTile(r,\"reloading\")}this._cache.filter((function(r){return!r.hasDependency(t,e)}))},r}(t.Evented);function Pt(t,e){var r=Math.abs(2*t.wrap)-+(t.wrap<0),n=Math.abs(2*e.wrap)-+(e.wrap<0);return t.overscaledZ-e.overscaledZ||n-r||e.canonical.y-t.canonical.y||e.canonical.x-t.canonical.x}function It(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Ot(){return new t.window.Worker(Zi.workerUrl)}Ct.maxOverzooming=10,Ct.maxUnderzooming=3;var zt=\"mapboxgl_preloaded_worker_pool\",Dt=function(){this.active={}};Dt.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Dt.workerCount;)this.workers.push(new Ot);return this.active[t]=!0,this.workers.slice()},Dt.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Dt.prototype.isPreloaded=function(){return!!this.active[zt]},Dt.prototype.numActive=function(){return Object.keys(this.active).length};var Rt,Ft=Math.floor(t.browser.hardwareConcurrency/2);function Bt(){return Rt||(Rt=new Dt),Rt}function Nt(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function jt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Nt(t[n],e[t[n].ref]));return t}Dt.workerCount=Math.max(Math.min(Ft,6),1);var Ut={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Vt(t,e,r){r.push({command:Ut.addSource,args:[t,e[t]]})}function Ht(t,e,r){e.push({command:Ut.removeSource,args:[t]}),r[t]=!0}function qt(t,e,r,n){Ht(t,r,n),Vt(t,e,r)}function Gt(e,r,n){var i;for(i in e[n])if(e[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;for(i in r[n])if(r[n].hasOwnProperty(i)&&\"data\"!==i&&!t.deepEqual(e[n][i],r[n][i]))return!1;return!0}function Yt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Wt(t){return t.id}function Xt(t,e){return t[e.id]=e,t}function Zt(e,r){if(!e)return[{command:Ut.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ut.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ut.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ut.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ut.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ut.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ut.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ut.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ut.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ut.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Ht(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Gt(e,r,a)?n.push({command:Ut.setGeoJSONSourceData,args:[a,r[a].data]}):qt(a,r,n,i)):Vt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ut.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,c,u,f=(e=e||[]).map(Wt),h=r.map(Wt),p=e.reduce(Xt,{}),d=r.reduce(Xt,{}),g=f.slice(),m=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],g[g.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:Ut.removeLayer,args:[o]}),g.splice(g.lastIndexOf(o,g.length-a),1)):a++,c=g[g.length-i],n.push({command:Ut.addLayer,args:[d[o],c]}),g.splice(g.length-i,0,o),m[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!m[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(u in Yt(s.layout,l.layout,n,o,null,Ut.setLayoutProperty),Yt(s.paint,l.paint,n,o,null,Ut.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ut.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ut.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}));for(u in l)l.hasOwnProperty(u)&&!s.hasOwnProperty(u)&&\"layout\"!==u&&\"paint\"!==u&&\"filter\"!==u&&\"metadata\"!==u&&\"minzoom\"!==u&&\"maxzoom\"!==u&&(0===u.indexOf(\"paint.\")?Yt(s[u],l[u],n,o,u.slice(6),Ut.setPaintProperty):t.deepEqual(s[u],l[u])||n.push({command:Ut.setLayerProperty,args:[o,u,l[u]]}))}else n.push({command:Ut.removeLayer,args:[o]}),c=g[g.lastIndexOf(o)+1],n.push({command:Ut.addLayer,args:[l,c]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ut.setStyle,args:[r]}]}return n}var Jt=function(t,e){this.reset(t,e)};Jt.prototype.reset=function(t,e){this.points=t||[],this._distances=[0];for(var r=1;r<this.points.length;r++)this._distances[r]=this._distances[r-1]+this.points[r].dist(this.points[r-1]);this.length=this._distances[this._distances.length-1],this.padding=Math.min(e||0,.5*this.length),this.paddedLength=this.length-2*this.padding},Jt.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Kt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function Qt(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function $t(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function te(e,r){var n=[e.x,e.y,0,1];fe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ee(t,e){return.5+t/e*.5}function re(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ne(e,r,n,i,a,o,s,l){var c=i?e.textSizeData:e.iconSizeData,u=t.evaluateSizeForZoom(c,n.transform.zoom),f=[256/n.width*2+1,256/n.height*2+1],h=i?e.text.dynamicLayoutVertexArray:e.icon.dynamicLayoutVertexArray;h.clear();for(var p=e.lineVertexArray,d=i?e.text.placedSymbolArray:e.icon.placedSymbolArray,g=n.transform.width/n.transform.height,m=!1,v=0;v<d.length;v++){var y=d.get(v);if(y.hidden||y.writingMode===t.WritingMode.vertical&&!m)ue(y.numGlyphs,h);else{m=!1;var x=[y.anchorX,y.anchorY,0,1];if(t.transformMat4(x,x,r),re(x,f)){var b=x[3],_=ee(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(c,u,y),T=s?w/_:w*_,k=new t.Point(y.anchorX,y.anchorY),A=te(k,a).point,M={},S=oe(y,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,g);m=S.useVertical,(S.notEnoughRoom||m||S.needsFlipping&&oe(y,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,g).notEnoughRoom)&&ue(y.numGlyphs,h)}else ue(y.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function ie(t,e,r,n,i,a,o,s,l,c,u){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),g=e.getoffsetX(f-1),m=le(t*d,r,n,i,a,o,s.segment,h,p,l,c,u);if(!m)return null;var v=le(t*g,r,n,i,a,o,s.segment,h,p,l,c,u);return v?{first:m,last:v}:null}function ae(e,r,n,i){if(e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i)return{useVertical:!0};return(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function oe(e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=r/24,v=e.lineOffsetX*m,y=e.lineOffsetY*m;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=ie(m,l,v,y,n,f,h,e,c,o,p);if(!w)return{notEnoughRoom:!0};var T=te(w.first.point,s).point,k=te(w.last.point,s).point;if(i&&!n){var A=ae(e.writingMode,T,k,d);if(A)return A}g=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)g.push(le(m*l.getoffsetX(M),v,y,n,f,h,e.segment,b,_,c,o,p));g.push(w.last)}else{if(i&&!n){var S=te(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(c.getx(E),c.gety(E)),C=te(L,a),P=C.signedDistanceFromCamera>0?C.point:se(h,L,S,1,a),I=ae(e.writingMode,S,P,d);if(I)return I}var O=le(m*l.getoffsetX(e.glyphStartIndex),v,y,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,c,o,p);if(!O)return{notEnoughRoom:!0};g=[O]}for(var z=0,D=g;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(u,R.point,R.angle)}return{}}function se(t,e,r,n,i){var a=te(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function le(e,r,n,i,a,o,s,l,c,u,f,h){var p=i?e-r:e+r,d=p>0?1:-1,g=0;i&&(d*=-1,g=Math.PI),d<0&&(g+=Math.PI);for(var m=d>0?l+s:l+s+1,v=a,y=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((m+=d)<l||m>=c)return null;if(y=v,w.push(v),void 0===(v=h[m])){var T=new t.Point(u.getx(m),u.gety(m)),k=te(T,f);if(k.signedDistanceFromCamera>0)v=h[m]=k.point;else{var A=m-d;v=se(0===x?o:new t.Point(u.getx(A),u.gety(A)),T,y,_-x+1,f)}}x+=b,b=y.dist(v)}var M=(_-x)/b,S=v.sub(y),E=S.mult(M)._add(y);E._add(S._unit()._perp()._mult(n*d));var L=g+Math.atan2(v.y-y.y,v.x-y.x);return w.push(E),{point:E,angle:L,path:w}}Kt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Kt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Kt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Kt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Kt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Kt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var c=this.circles[3*l],u=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:c-f,y1:u-f,x2:c+f,y2:u+f})}return a?o.filter(a):o}var h={hitTest:i,seenUids:{box:{},circle:{}}};return this._forEachCell(t,e,r,n,this._queryCell,o,h,a),i?o.length>0:o},Kt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var c=[],u={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,c,u,i),n?c.length>0:c},Kt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Kt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Kt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Kt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,c=this.boxCells[i];if(null!==c)for(var u=this.bboxes,f=0,h=c;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=u[d+2]&&e<=u[d+3]&&r>=u[d+0]&&n>=u[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:u[d],y1:u[d+1],x2:u[d+2],y2:u[d+3]})}}}var g=this.circleCells[i];if(null!==g)for(var m=this.circles,v=0,y=g;v<y.length;v+=1){var x=y[v];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(m[b],m[b+1],m[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=m[b],w=m[b+1],T=m[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Kt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,c=o.seenUids,u=this.boxCells[i];if(null!==u)for(var f=this.bboxes,h=0,p=u;h<p.length;h+=1){var d=p[h];if(!c.box[d]){c.box[d]=!0;var g=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[g+0],f[g+1],f[g+2],f[g+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var m=this.circleCells[i];if(null!==m)for(var v=this.circles,y=0,x=m;y<x.length;y+=1){var b=x[y];if(!c.circle[b]){c.circle[b]=!0;var _=3*b;if(this._circlesCollide(v[_],v[_+1],v[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Kt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),c=this._convertToYCellCoord(e),u=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=u;h++)for(var p=c;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Kt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Kt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Kt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Kt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var c=(o-i)/2,u=Math.abs(e-(i+c));if(u>c+r)return!1;if(l<=s||u<=c)return!0;var f=l-s,h=u-c;return f*f+h*h<=r*r};var ce=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function ue(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(ce,3*n)}}function fe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var he=function(t,e,r){void 0===e&&(e=new Kt(t.width+200,t.height+200,25)),void 0===r&&(r=new Kt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+100,this.screenBottomBoundary=t.height+100,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function pe(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}he.prototype.placeCollisionBox=function(t,e,r,n,i){var a=this.projectAndGetPerspectiveRatio(n,t.anchorPointX,t.anchorPointY),o=r*a.perspectiveRatio,s=t.x1*o+a.point.x,l=t.y1*o+a.point.y,c=t.x2*o+a.point.x,u=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,c,u)||!e&&this.grid.hitTest(s,l,c,u,i)?{box:[],offscreen:!1}:{box:[s,l,c,u],offscreen:this.isOffscreen(s,l,c,u)}},he.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,c,u,f,h,p){var d=[],g=new t.Point(r.anchorX,r.anchorY),m=te(g,o),v=ee(this.transform.cameraToCenterDistance,m.signedDistanceFromCamera),y=(u?a/v:a*v)/t.ONE_EM,x=te(g,s).point,b=ie(y,i,r.lineOffsetX*y,r.lineOffsetY*y,!1,x,g,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*v+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new Jt,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var I=1;I<L.path.length;I++)C.push(L.path[I]);var O=2.5*k;if(l){var z=C.map((function(t){return te(t,l)}));C=z.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:z.map((function(t){return t.point}))}var D=[];if(C.length>0){for(var R=C[0].clone(),F=C[0].clone(),B=1;B<C.length;B++)R.x=Math.min(R.x,C[B].x),R.y=Math.min(R.y,C[B].y),F.x=Math.max(F.x,C[B].x),F.y=Math.max(F.y,C[B].y);D=R.x>=A.x&&F.x<=M.x&&R.y>=A.y&&F.y<=M.y?[C]:F.x<A.x||R.x>M.x||F.y<A.y||R.y>M.y?[]:t.clipLine([C],A.x,A.y,M.x,M.y)}for(var N=0,j=D;N<j.length;N+=1){var U=j[N];S.reset(U,.25*k);var V=0;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/O)+1;for(var H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Y=G.x+100,W=G.y+100;d.push(Y,W,k,0);var X=Y-k,Z=W-k,J=Y+k,K=W+k;if(T=T&&this.isOffscreen(X,Z,J,K),w=w||this.isInsideGrid(X,Z,J,K),!e&&this.grid.hitTestCircle(Y,W,k,f)&&(_=!0,!c))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!c&&_||!w?[]:d,offscreen:T,collisionDetected:_}},he.prototype.queryRenderedSymbols=function(e){if(0===e.length||0===this.grid.keysLength()&&0===this.ignoredGrid.keysLength())return{};for(var r=[],n=1/0,i=1/0,a=-1/0,o=-1/0,s=0,l=e;s<l.length;s+=1){var c=l[s],u=new t.Point(c.x+100,c.y+100);n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.y),r.push(u)}for(var f={},h={},p=0,d=this.grid.query(n,i,a,o).concat(this.ignoredGrid.query(n,i,a,o));p<d.length;p+=1){var g=d[p],m=g.key;if(void 0===f[m.bucketInstanceId]&&(f[m.bucketInstanceId]={}),!f[m.bucketInstanceId][m.featureIndex]){var v=[new t.Point(g.x1,g.y1),new t.Point(g.x2,g.y1),new t.Point(g.x2,g.y2),new t.Point(g.x1,g.y2)];t.polygonIntersectsPolygon(r,v)&&(f[m.bucketInstanceId][m.featureIndex]=!0,void 0===h[m.bucketInstanceId]&&(h[m.bucketInstanceId]=[]),h[m.bucketInstanceId].push(m.featureIndex))}}return h},he.prototype.insertCollisionBox=function(t,e,r,n,i){var a={bucketInstanceId:r,featureIndex:n,collisionGroupID:i};(e?this.ignoredGrid:this.grid).insert(a,t[0],t[1],t[2],t[3])},he.prototype.insertCollisionCircles=function(t,e,r,n,i){for(var a=e?this.ignoredGrid:this.grid,o={bucketInstanceId:r,featureIndex:n,collisionGroupID:i},s=0;s<t.length;s+=4)a.insertCircle(o,t[s],t[s+1],t[s+2])},he.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return fe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+100,(-i[1]/i[3]+1)/2*this.transform.height+100),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},he.prototype.isOffscreen=function(t,e,r,n){return r<100||t>=this.screenRightBoundary||n<100||e>this.screenBottomBoundary},he.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},he.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var de=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};de.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var ge=function(t,e,r,n,i){this.text=new de(t?t.text:null,e,r,i),this.icon=new de(t?t.icon:null,e,n,i)};ge.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var me=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},ve=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},ye=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},xe=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function be(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point(s+c[0]*a,l+c[1]*a)}function _e(e,r,n,i,a,o){var s=e.x1,l=e.x2,c=e.y1,u=e.y2,f=e.anchorPointX,h=e.anchorPointY,p=new t.Point(r,n);return i&&p._rotate(a?o:-o),{x1:s+p.x,y1:c+p.y,x2:l+p.x,y2:u+p.y,anchorPointX:f,anchorPointY:h}}xe.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var we=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new he(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new xe(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Te(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}we.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,c=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),u=n.tileSize/t.EXTENT,f=this.transform.calculatePosMatrix(n.tileID.toUnwrapped()),h=\"map\"===l.get(\"text-pitch-alignment\"),p=\"map\"===l.get(\"text-rotation-alignment\"),d=pe(n,1,this.transform.zoom),g=Qt(f,h,p,this.transform,d),m=null;if(h){var v=$t(f,h,p,this.transform,d);m=t.multiply([],this.transform.labelPlaneMatrix,v)}this.retainedQueryData[a.bucketInstanceId]=new ye(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var y={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:g,labelToScreenMatrix:m,scale:c,textPixelRatio:u,holdingForFade:n.holdingForFade(),collisionBoxArray:s,partiallyEvaluatedTextSize:t.evaluateSizeForZoom(a.textSizeData,this.transform.zoom),collisionGroup:this.collisionGroups.get(a.sourceID)};if(i)for(var x=0,b=a.sortKeyRanges;x<b.length;x+=1){var _=b[x],w=_.sortKey,T=_.symbolInstanceStart,k=_.symbolInstanceEnd;e.push({sortKey:w,symbolInstanceStart:T,symbolInstanceEnd:k,parameters:y})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:y})}},we.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d){var g,m=[f.textOffset0,f.textOffset1],v=be(t,r,n,m,i),y=this.collisionIndex.placeCollisionBox(_e(e,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate);if(d&&0===this.collisionIndex.placeCollisionBox(_e(d,v.x,v.y,a,o,this.transform.angle),u,s,l,c.predicate).box.length)return;if(y.box.length>0)return this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(g=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:m,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:g},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:v,placedGlyphBoxes:y}},we.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,c=a.textLabelPlaneMatrix,u=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,g=a.collisionGroup,m=s.get(\"text-optional\"),v=s.get(\"icon-optional\"),y=s.get(\"text-allow-overlap\"),x=s.get(\"icon-allow-overlap\"),b=\"map\"===s.get(\"text-rotation-alignment\"),_=\"map\"===s.get(\"text-pitch-alignment\"),w=\"none\"!==s.get(\"icon-text-fit\"),T=\"viewport-y\"===s.get(\"symbol-z-order\"),k=y&&(x||!o.hasIconData()||v),A=x&&(y||!o.hasTextData()||m);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new me(!1,!1,!1);else{var p,T=!1,M=!1,S=!0,E=null,L={box:null,offscreen:null},C={box:null,offscreen:null},P=null,I=null,O=0,z=0,D=0;a.textFeatureIndex?O=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(O=e.featureIndex),a.verticalTextFeatureIndex&&(z=a.verticalTextFeatureIndex);var R=a.textBox;if(R){var F=function(r){var n=t.WritingMode.horizontal;if(o.allowVerticalPlacement&&!r&&i.prevPlacement){var a=i.prevPlacement.placedOrientations[e.crossTileID];a&&(i.placedOrientations[e.crossTileID]=a,n=a,i.markUsedOrientation(o,n,e))}return n},B=function(r,n){if(o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&a.verticalTextBox)for(var i=0,s=o.writingModes;i<s.length;i+=1){if(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),L&&L.box&&L.box.length)break}else L=r()};if(s.get(\"text-variable-anchor\")){var N=s.get(\"text-variable-anchor\");if(i.prevPlacement&&i.prevPlacement.variableOffsets[e.crossTileID]){var j=i.prevPlacement.variableOffsets[e.crossTileID];N.indexOf(j.anchor)>0&&(N=N.filter((function(t){return t!==j.anchor}))).unshift(j.anchor)}var U=function(t,r,n){for(var a=t.x2-t.x1,s=t.y2-t.y1,c=e.textBoxScale,u=w&&!x?r:null,h={box:[],offscreen:!1},p=y?2*N.length:N.length,d=0;d<p;++d){var m=N[d%N.length],v=d>=N.length,k=i.attemptAnchorPlacement(m,t,a,s,c,b,_,f,l,g,v,e,o,n,u);if(k&&(h=k.placedGlyphBoxes)&&h.box&&h.box.length){T=!0,E=k.shift;break}}return h};B((function(){return U(R,a.iconBox,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox,n=L&&L.box&&L.box.length;return o.allowVerticalPlacement&&!n&&e.numVerticalGlyphVertices>0&&r?U(r,a.verticalIconBox,t.WritingMode.vertical):{box:null,offscreen:null}})),L&&(T=L.box,S=L.offscreen);var V=F(L&&L.box);if(!T&&i.prevPlacement){var H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,y,f,l,g.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Y=t.evaluateSizeForFeature(o.textSizeData,d,G),W=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(y,G,o.lineVertexArray,o.glyphOffsetArray,Y,l,c,u,n,_,g.predicate,X,W),T=y||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(D=a.iconFeatureIndex),a.iconBox){var Z=function(t){var e=w&&E?_e(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,g.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(I=Z(a.verticalIconBox)).box.length>0:(I=Z(a.iconBox)).box.length>0,S=S&&I.offscreen}var J=m||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=v||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&z?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,z,g.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID)),M&&I&&i.collisionIndex.insertCollisionBox(I.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,g.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,O,g.ID),n)){var Q=o.bucketInstanceId,$=i.collisionCircleArrays[Q];void 0===$&&($=i.collisionCircleArrays[Q]=new ve);for(var tt=0;tt<P.circles.length;tt+=4)$.circles.push(P.circles[tt+0]),$.circles.push(P.circles[tt+1]),$.circles.push(P.circles[tt+2]),$.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new me(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var L=S[E];M(o.symbolInstances.get(L),o.collisionArrays[L])}else for(var C=e.symbolInstanceStart;C<e.symbolInstanceEnd;C++)M(o.symbolInstances.get(C),o.collisionArrays[C]);if(n&&o.bucketInstanceId in this.collisionCircleArrays){var P=this.collisionCircleArrays[o.bucketInstanceId];t.invert(P.invProjMatrix,l),P.viewportMatrix=this.collisionIndex.getViewportMatrix()}o.justReloaded=!1},we.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var c=l[s];c>=0&&(e.text.placedSymbolArray.get(c).crossTileID=a>=0&&c!==a?0:n.crossTileID)}},we.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},we.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],c=i[s];c?(this.opacities[s]=new ge(c,n,l.text,l.icon),r=r||l.text!==c.text.placed||l.icon!==c.icon.placed):(this.opacities[s]=new ge(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var u in i){var f=i[u];if(!this.opacities[u]){var h=new ge(f,n,!1,!1);h.isHidden()||(this.opacities[u]=h,r=r||f.text.placed||f.icon.placed)}}for(var p in a)this.variableOffsets[p]||!this.opacities[p]||this.opacities[p].isHidden()||(this.variableOffsets[p]=a[p]);for(var d in o)this.placedOrientations[d]||!this.opacities[d]||this.opacities[d].isHidden()||(this.placedOrientations[d]=o[d]);r?this.lastPlacementChangeTime=t:\"number\"!=typeof this.lastPlacementChangeTime&&(this.lastPlacementChangeTime=e?e.lastPlacementChangeTime:t)},we.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},we.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new ge(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),c=a.get(\"text-variable-anchor\"),u=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new ge(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},g=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,g=a.crossTileID,m=r[g],v=i.opacities[g];m?v=o:v||(v=p,i.opacities[g]=v),r[g]=!0;var y=s>0||l>0,x=a.numIconVertices>0,b=i.placedOrientations[a.crossTileID],_=b===t.WritingMode.vertical,w=b===t.WritingMode.horizontal||b===t.WritingMode.horizontalOnly;if(y){var T=Pe(v.text),k=_?Ie:T;d(e.text,s,k);var A=w?Ie:T;d(e.text,l,A);var M=v.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?1:0)})),a.verticalPlacedTextSymbolIndex>=0&&(e.text.placedSymbolArray.get(a.verticalPlacedTextSymbolIndex).hidden=M||w?1:0);var S=i.variableOffsets[a.crossTileID];S&&i.markUsedJustification(e,S.anchor,a,b);var E=i.placedOrientations[a.crossTileID];E&&(i.markUsedJustification(e,\"left\",a,E),i.markUsedOrientation(e,E,a))}if(x){var L=Pe(v.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:Ie;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=v.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var I=C?Ie:L;d(e.icon,a.numVerticalIconVertices,I),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=v.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var O=e.collisionArrays[n];if(O){var z=new t.Point(0,0);if(O.textBox||O.verticalTextBox){var D=!0;if(c){var R=i.variableOffsets[g];R?(z=be(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),u&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}O.textBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||_,z.x,z.y),O.verticalTextBox&&Te(e.textCollisionBox.collisionVertexArray,v.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&O.verticalIconBox);O.iconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,F,h?z.x:0,h?z.y:0),O.verticalIconBox&&Te(e.iconCollisionBox.collisionVertexArray,v.icon.placed,!F,h?z.x:0,h?z.y:0)}}},m=0;m<e.symbolInstances.length;m++)g(m);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var v=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=v.invProjMatrix,e.placementViewportMatrix=v.viewportMatrix,e.collisionCircleArray=v.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},we.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},we.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},we.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},we.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},we.prototype.setStale=function(){this.stale=!0};var ke=Math.pow(2,25),Ae=Math.pow(2,24),Me=Math.pow(2,17),Se=Math.pow(2,16),Ee=Math.pow(2,9),Le=Math.pow(2,8),Ce=Math.pow(2,1);function Pe(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*ke+e*Ae+r*Me+e*Se+r*Ee+e*Le+r*Ce+e}var Ie=0,Oe=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Oe.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var ze=function(t,e,r,n,i,a,o){this.placement=new we(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};ze.prototype.isDone=function(){return this._done},ze.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Oe(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},ze.prototype.commit=function(t){return this.placement.commit(t),this.placement};var De=512/t.EXTENT/2,Re=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Re.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=De/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Re.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,c=o;l<c.length;l+=1){var u=c[l];if(Math.abs(u.coord.x-s.x)<=n&&Math.abs(u.coord.y-s.y)<=n&&!r[u.crossTileID]){r[u.crossTileID]=!0,a.crossTileID=u.crossTileID;break}}}}};var Fe=function(){this.maxCrossTileID=0};Fe.prototype.generate=function(){return++this.maxCrossTileID};var Be=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Be.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Be.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++){e.symbolInstances.get(n).crossTileID=0}this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var c=o[t.scaledTo(Number(a)).key];c&&c.findMatches(e.symbolInstances,t,i)}}for(var u=0;u<e.symbolInstances.length;u++){var f=e.symbolInstances.get(u);f.crossTileID||(f.crossTileID=r.generate(),i[f.crossTileID]=!0)}return void 0===this.indexes[t.overscaledZ]&&(this.indexes[t.overscaledZ]={}),this.indexes[t.overscaledZ][t.key]=new Re(t,e.symbolInstances,e.bucketInstanceId),!0},Be.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Be.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ne=function(){this.layerIndexes={},this.crossTileIDs=new Fe,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ne.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Be);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],c=l.getBucket(t);c&&t.id===c.layerIds[0]&&(c.bucketInstanceId||(c.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,c,this.crossTileIDs)&&(i=!0),a[c.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ne.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var je=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},Ue=t.pick(Ut,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ve=t.pick(Ut,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),He=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a=null;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),qe=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new k(Bt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new T(256,512),this.crossTileSymbolIndex=new Ne,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if((t.triggerPluginCompletionEvent(e),r)&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(He,!1)},r.prototype._load=function(e,r){if(!r||!je(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=jt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new w(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,u())})),c=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){c=null,o||(o=t,a=e,u())}));function u(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],c=l.width,u=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,g=l.stretchX,m=l.stretchY,v=l.content,y=new t.RGBAImage({width:c,height:u});t.RGBAImage.copy(e,y,{x:f,y:h},{x:0,y:0},{width:c,height:u}),r[s]={data:y,pixelRatio:d,sdf:p,stretchX:g,stretchY:m,content:v}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),c&&(c.cancel(),c=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),je(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=jt(e.layers);var n=Zt(this.serialize(),e).filter((function(t){return!(t.command in Ve)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in Ue)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0)||!this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n)){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ct(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(je(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var c=l[s][o];if(c)for(var u=0,f=c;u<f.length;u+=1){var h=f[u];i.push(h)}}}}i.sort((function(t,e){return e.intersectionZ-t.intersectionZ}));for(var p=[],d=this._order.length-1;d>=0;d--){var g=this._order[d];if(r(g))for(var m=i.length-1;m>=0;m--){var v=i[m].feature;if(n[v.layer.id]<d)break;p.push(v),i.pop()}else for(var y=0,x=t;y<x.length;y+=1){var b=x[y][g];if(b)for(var _=0,w=b;_<w.length;_+=1){var T=w[_];p.push(T.feature)}}}return p},r.prototype.queryRenderedFeatures=function(e,r,n){r&&r.filter&&this._validate(t.validateStyle.filter,\"queryRenderedFeatures.filter\",r.filter,null,r);var i={};if(r&&r.layers){if(!Array.isArray(r.layers))return this.fire(new t.ErrorEvent(new Error(\"parameters.layers must be an Array.\"))),[];for(var a=0,o=r.layers;a<o.length;a+=1){var s=o[a],l=this._layers[s];if(!l)return this.fire(new t.ErrorEvent(new Error(\"The layer '\"+s+\"' does not exist in the map's style and cannot be queried for features.\"))),[];i[l.source]=!0}}var c=[];for(var u in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[u]||c.push(F(this.sourceCaches[u],this._layers,this._serializedLayers,e,r,n));return this.placement&&c.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),c=[],u=0,f=Object.keys(l).map(Number);u<f.length;u+=1){var h=f[u];c.push(o[h])}c.sort(B);for(var p=function(){var r=g[d],n=r.featureIndex.lookupSymbolFeatures(l[r.bucketInstanceId],e,r.bucketIndex,r.sourceLayerIndex,i.filter,i.layers,i.availableImages,t);for(var a in n){var o=s[a]=s[a]||[],c=n[a];c.sort((function(t,e){var n=r.featureSortOrder;if(n){var i=n.indexOf(t.featureIndex);return n.indexOf(e.featureIndex)-i}return e.featureIndex-t.featureIndex}));for(var u=0,f=c;u<f.length;u+=1){var h=f[u];o.push(h)}}},d=0,g=c;d<g.length;d+=1)p();var m=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var v in s)m(v);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(c)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&je(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers){this._layers[e].setEventedParent(null)}for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},c=0,u=this._order;c<u.length;c+=1){var f=u[c],h=this._layers[f];if(\"symbol\"===h.type){if(!l[h.source]){var p=this.sourceCaches[h.source];l[h.source]=p.getRenderableIds(!0).map((function(t){return p.getTileByID(t)})).sort((function(t,e){return e.tileID.overscaledZ-t.tileID.overscaledZ||(t.tileID.isLessThan(e.tileID)?-1:1)}))}var d=this.crossTileSymbolIndex.addLayer(h,l[h.source],e.center.lng);o=o||d}}if(this.crossTileSymbolIndex.pruneUnusedLayers(this._order),((a=a||this._layerOrderChanged||0===n)||!this.pauseablePlacement||this.pauseablePlacement.isDone()&&!this.placement.stillRecent(t.browser.now(),e.zoom))&&(this.pauseablePlacement=new ze(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var g=0,m=this._order;g<m.length;g+=1){var v=m[g],y=this._layers[v];\"symbol\"===y.type&&this.placement.updateLayerOpacities(y,l[y.source])}return!this.pauseablePlacement.isDone()||this.placement.hasTransitions(t.browser.now())},r.prototype._releaseSymbolFadeTiles=function(){for(var t in this.sourceCaches)this.sourceCaches[t].releaseSymbolFadeTiles()},r.prototype.getImages=function(t,e,r){this.imageManager.getImages(e.icons,r),this._updateTilesForChangedImages();var n=this.sourceCaches[e.source];n&&n.setDependencies(e.tileID.key,e.type,e.icons)},r.prototype.getGlyphs=function(t,e,r){this.glyphManager.getGlyphs(e.stacks,r)},r.prototype.getResource=function(e,r,n){return t.makeRequest(r,n)},r}(t.Evented);qe.getSourceType=function(t){return D[t]},qe.setSourceType=function(t,e){D[t]=e},qe.registerForPluginStateChange=t.registerForPluginStateChange;var Ge=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ye=yr(\"#ifdef GL_ES\\nprecision mediump float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\",\"#ifdef GL_ES\\nprecision highp float;\\n#else\\n#if !defined(lowp)\\n#define lowp\\n#endif\\n#if !defined(mediump)\\n#define mediump\\n#endif\\n#if !defined(highp)\\n#define highp\\n#endif\\n#endif\\nvec2 unpack_float(const float packedValue) {int packedIntValue=int(packedValue);int v0=packedIntValue/256;return vec2(v0,packedIntValue-v0*256);}vec2 unpack_opacity(const float packedOpacity) {int intOpacity=int(packedOpacity)/2;return vec2(float(intOpacity)/127.0,mod(packedOpacity,2.0));}vec4 decode_color(const vec2 encodedColor) {return vec4(unpack_float(encodedColor[0])/255.0,unpack_float(encodedColor[1])/255.0\\n);}float unpack_mix_vec2(const vec2 packedValue,const float t) {return mix(packedValue[0],packedValue[1],t);}vec4 unpack_mix_color(const vec4 packedColors,const float t) {vec4 minColor=decode_color(vec2(packedColors[0],packedColors[1]));vec4 maxColor=decode_color(vec2(packedColors[2],packedColors[3]));return mix(minColor,maxColor,t);}vec2 get_pattern_pos(const vec2 pixel_coord_upper,const vec2 pixel_coord_lower,const vec2 pattern_size,const float tile_units_to_pixels,const vec2 pos) {vec2 offset=mod(mod(mod(pixel_coord_upper,pattern_size)*256.0,pattern_size)*256.0+pixel_coord_lower,pattern_size);return (tile_units_to_pixels*pos+offset)/pattern_size;}\"),We=yr(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Xe=yr(\"uniform vec2 u_pattern_tl_a;uniform vec2 u_pattern_br_a;uniform vec2 u_pattern_tl_b;uniform vec2 u_pattern_br_b;uniform vec2 u_texsize;uniform float u_mix;uniform float u_opacity;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(u_pattern_tl_a/u_texsize,u_pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(u_pattern_tl_b/u_texsize,u_pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_mix)*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pattern_size_a;uniform vec2 u_pattern_size_b;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_scale_a;uniform float u_scale_b;uniform float u_tile_units_to_pixels;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_a*u_pattern_size_a,u_tile_units_to_pixels,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,u_scale_b*u_pattern_size_b,u_tile_units_to_pixels,a_pos);}\"),Ze=yr(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Je=yr(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Ke=yr(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),Qe=yr(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),$e=yr(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),tr=yr(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),er=yr(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),rr=yr(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),nr=yr(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ir=yr(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),ar=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);gl_FragColor=mix(color1,color2,u_fade)*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;gl_Position=u_matrix*vec4(a_pos,0,1);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileZoomRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileZoomRatio,a_pos);}\"),or=yr(\"varying vec4 v_color;void main() {gl_FragColor=v_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;uniform float u_vertical_gradient;uniform lowp float u_opacity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec4 v_color;\\n#pragma mapbox: define highp float base\\n#pragma mapbox: define highp float height\\n#pragma mapbox: define highp vec4 color\\nvoid main() {\\n#pragma mapbox: initialize highp float base\\n#pragma mapbox: initialize highp float height\\n#pragma mapbox: initialize highp vec4 color\\nvec3 normal=a_normal_ed.xyz;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);gl_Position=u_matrix*vec4(a_pos,t > 0.0 ? height : base,1);float colorvalue=color.r*0.2126+color.g*0.7152+color.b*0.0722;v_color=vec4(0.0,0.0,0.0,1.0);vec4 ambientlight=vec4(0.03,0.03,0.03,1.0);color+=ambientlight;float directional=clamp(dot(normal/16384.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((1.0-colorvalue+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_color.r+=clamp(color.r*directional*u_lightcolor.r,mix(0.0,0.3,1.0-u_lightcolor.r),1.0);v_color.g+=clamp(color.g*directional*u_lightcolor.g,mix(0.0,0.3,1.0-u_lightcolor.g),1.0);v_color.b+=clamp(color.b*directional*u_lightcolor.b,mix(0.0,0.3,1.0-u_lightcolor.b),1.0);v_color*=u_opacity;}\"),sr=yr(\"uniform vec2 u_texsize;uniform float u_fade;uniform sampler2D u_image;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);vec4 mixedColor=mix(color1,color2,u_fade);gl_FragColor=mixedColor*v_lighting;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform float u_height_factor;uniform vec3 u_scale;uniform float u_vertical_gradient;uniform lowp float u_opacity;uniform vec3 u_lightcolor;uniform lowp vec3 u_lightpos;uniform lowp float u_lightintensity;attribute vec2 a_pos;attribute vec4 a_normal_ed;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec4 v_lighting;\\n#pragma mapbox: define lowp float base\\n#pragma mapbox: define lowp float height\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float base\\n#pragma mapbox: initialize lowp float height\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec3 normal=a_normal_ed.xyz;float edgedistance=a_normal_ed.w;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;base=max(0.0,base);height=max(0.0,height);float t=mod(normal.x,2.0);float z=t > 0.0 ? height : base;gl_Position=u_matrix*vec4(a_pos,z,1);vec2 pos=normal.x==1.0 && normal.y==0.0 && normal.z==16384.0\\n? a_pos\\n: vec2(edgedistance,z*u_height_factor);v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,pos);v_lighting=vec4(0.0,0.0,0.0,1.0);float directional=clamp(dot(normal/16383.0,u_lightpos),0.0,1.0);directional=mix((1.0-u_lightintensity),max((0.5+u_lightintensity),1.0),directional);if (normal.y !=0.0) {directional*=((1.0-u_vertical_gradient)+(u_vertical_gradient*clamp((t+base)*pow(height/150.0,0.5),mix(0.7,0.98,1.0-u_lightintensity),1.0)));}v_lighting.rgb+=clamp(directional*u_lightcolor,mix(vec3(0.0),vec3(0.3),1.0-u_lightcolor),vec3(1.0));v_lighting*=u_opacity;}\"),lr=yr(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),cr=yr(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),ur=yr(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),fr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),hr=yr(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),pr=yr(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),dr=yr(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),gr=yr(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),mr=yr(\"#define SDF_PX 8.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;uniform bool u_is_text;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat EDGE_GAMMA=0.105/u_device_pixel_ratio;vec2 tex=v_data0.xy;float gamma_scale=v_data1.x;float size=v_data1.y;float fade_opacity=v_data1[2];float fontScale=u_is_text ? size/24.0 : size;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;varying vec2 v_data0;varying vec3 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale+a_pxoffset),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0=a_tex/u_texsize;v_data1=vec3(gamma_scale,size,interpolated_fade_opacity);}\"),vr=yr(\"#define SDF_PX 8.0\\n#define SDF 1.0\\n#define ICON 0.0\\nuniform bool u_is_halo;uniform sampler2D u_texture;uniform sampler2D u_texture_icon;uniform highp float u_gamma_scale;uniform lowp float u_device_pixel_ratio;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nfloat fade_opacity=v_data1[2];if (v_data1.w==ICON) {vec2 tex_icon=v_data0.zw;lowp float alpha=opacity*fade_opacity;gl_FragColor=texture2D(u_texture_icon,tex_icon)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\nreturn;}vec2 tex=v_data0.xy;float EDGE_GAMMA=0.105/u_device_pixel_ratio;float gamma_scale=v_data1.x;float size=v_data1.y;float fontScale=size/24.0;lowp vec4 color=fill_color;highp float gamma=EDGE_GAMMA/(fontScale*u_gamma_scale);lowp float buff=(256.0-64.0)/256.0;if (u_is_halo) {color=halo_color;gamma=(halo_blur*1.19/SDF_PX+EDGE_GAMMA)/(fontScale*u_gamma_scale);buff=(6.0-halo_width/fontScale)/SDF_PX;}lowp float dist=texture2D(u_texture,tex).a;highp float gamma_scaled=gamma*gamma_scale;highp float alpha=smoothstep(buff-gamma_scaled,buff+gamma_scaled,dist);gl_FragColor=color*(alpha*opacity*fade_opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform highp float u_camera_to_center_distance;uniform float u_fade_change;uniform vec2 u_texsize;uniform vec2 u_texsize_icon;varying vec4 v_data0;varying vec4 v_data1;\\n#pragma mapbox: define highp vec4 fill_color\\n#pragma mapbox: define highp vec4 halo_color\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float halo_width\\n#pragma mapbox: define lowp float halo_blur\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 fill_color\\n#pragma mapbox: initialize highp vec4 halo_color\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float halo_width\\n#pragma mapbox: initialize lowp float halo_blur\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);float is_sdf=a_size[0]-2.0*a_size_min;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=size/24.0;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*fontScale),0.0,1.0);float gamma_scale=gl_Position.w;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;float interpolated_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));v_data0.xy=a_tex/u_texsize;v_data0.zw=a_tex/u_texsize_icon;v_data1=vec4(gamma_scale,size,interpolated_fade_opacity,is_sdf);}\");function yr(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var xr=Object.freeze({__proto__:null,prelude:Ye,background:We,backgroundPattern:Xe,circle:Ze,clippingMask:Je,heatmap:Ke,heatmapTexture:Qe,collisionBox:$e,collisionCircle:tr,debug:er,fill:rr,fillOutline:nr,fillOutlinePattern:ir,fillPattern:ar,fillExtrusion:or,fillExtrusionPattern:sr,hillshadePrepare:lr,hillshade:cr,line:ur,lineGradient:fr,linePattern:hr,lineSDF:pr,raster:dr,symbolIcon:gr,symbolSDF:mr,symbolTextAndIcon:vr}),br=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};br.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,c=0;!l&&c<n.length;c++)this.boundPaintVertexBuffers[c]!==n[c]&&(l=!0);var u=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||u?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},br.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,c=this.context,u=c.gl;if(c.extVertexArrayObject)this.vao&&this.destroy(),this.vao=c.extVertexArrayObject.createVertexArrayOES(),c.bindVertexArrayOES.set(this.vao),s=0,this.boundProgram=t,this.boundLayoutVertexBuffer=e,this.boundPaintVertexBuffers=r,this.boundIndexBuffer=n,this.boundVertexOffset=i,this.boundDynamicVertexBuffer=a,this.boundDynamicVertexBuffer2=o;else{s=c.currentNumAttributes||0;for(var f=l;f<s;f++)u.disableVertexAttribArray(f)}e.enableAttributes(u,t);for(var h=0,p=r;h<p.length;h+=1){p[h].enableAttributes(u,t)}a&&a.enableAttributes(u,t),o&&o.enableAttributes(u,t),e.bind(),e.setVertexAttribPointers(u,t,i);for(var d=0,g=r;d<g.length;d+=1){var m=g[d];m.bind(),m.setVertexAttribPointers(u,t,i)}a&&(a.bind(),a.setVertexAttribPointers(u,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(u,t,i)),c.currentNumAttributes=l},br.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var _r=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Ye.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Ye.vertexSource,e.vertexSource).join(\"\\n\"),c=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,s),a.compileShader(c),a.attachShader(this.program,c);var u=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,l),a.compileShader(u),a.attachShader(this.program,u);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(u),a.deleteShader(c),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var g=a.getActiveAttrib(this.program,d);g&&(this.attributes[g.name]=a.getAttribLocation(this.program,g.name))}for(var m=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),v=0;v<m;v++){var y=a.getActiveUniform(this.program,v);y&&(p[y.name]=a.getUniformLocation(this.program,y.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function wr(t,e,r){var n=1/pe(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}_r.prototype.draw=function(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g){var m,v=t.gl;if(!this.failedToCreate){for(var y in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[y].set(o[y]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(m={},m[v.LINES]=2,m[v.TRIANGLES]=3,m[v.LINE_STRIP]=1,m)[e],b=0,_=u.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new br)).bind(t,this,l,p?p.getPaintVertexBuffers():[],c,w.vertexOffset,d,g),v.drawElements(e,w.primitiveLength*x,v.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Tr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var c=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[c.r,c.g,c.b],u_vertical_gradient:+n,u_opacity:i}},kr=function(e,r,n,i,a,o,s){return t.extend(Tr(e,r,n,i),wr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Ar=function(t){return{u_matrix:t}},Mr=function(e,r,n,i){return t.extend(Ar(e),wr(n,r,i))},Sr=function(t,e){return{u_matrix:t,u_world:e}},Er=function(e,r,n,i,a){return t.extend(Mr(e,r,n,i),{u_world:a})},Lr=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=pe(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},Cr=function(t,e,r){var n=pe(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Pr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Ir=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Or=function(t){return{u_matrix:t}},zr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:pe(e,1,r),u_intensity:n}};function Dr(e,r){var n=Math.pow(2,r.canonical.z),i=r.canonical.y;return[new t.MercatorCoordinate(0,i/n).toLngLat().lat,new t.MercatorCoordinate(0,(i+1)/n).toLngLat().lat]}var Rr=function(e,r,n){var i=e.transform;return{u_matrix:Ur(e,r,n),u_ratio:1/pe(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},Fr=function(e,r,n){return t.extend(Rr(e,r,n),{u_image:0})},Br=function(e,r,n,i){var a=e.transform,o=jr(r,a);return{u_matrix:Ur(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/pe(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Nr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=jr(r,o),c=\"round\"===n.layout.get(\"line-cap\"),u=s.getDash(i.from,c),f=s.getDash(i.to,c),h=u.width*a.fromScale,p=f.width*a.toScale;return t.extend(Rr(e,r,n),{u_patternscale_a:[l/h,-u.height/2],u_patternscale_b:[l/p,-f.height/2],u_sdfgamma:s.width/(256*Math.min(h,p)*t.browser.devicePixelRatio)/2,u_image:0,u_tex_y_a:u.y,u_tex_y_b:f.y,u_mix:a.t})};function jr(t,e){return 1/pe(t,1,e.tileZoom)}function Ur(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Vr=function(t,e,r,n,i){return{u_matrix:t,u_tl_parent:e,u_scale_parent:r,u_buffer_scale:1,u_fade_t:n.mix,u_opacity:n.opacity*i.paint.get(\"raster-opacity\"),u_image0:0,u_image1:1,u_brightness_low:i.paint.get(\"raster-brightness-min\"),u_brightness_high:i.paint.get(\"raster-brightness-max\"),u_saturation_factor:(o=i.paint.get(\"raster-saturation\"),o>0?1-1/(1.001-o):-o),u_contrast_factor:(a=i.paint.get(\"raster-contrast\"),a>0?1/(1-a):1+a),u_spin_weights:Hr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Hr(t){t*=Math.PI/180;var e=Math.sin(t),r=Math.cos(t);return[(2*r+1)/3,(-Math.sqrt(3)*e-r+1)/3,(Math.sqrt(3)*e-r+1)/3]}var qr,Gr=function(t,e,r,n,i,a,o,s,l,c){var u=i.transform;return{u_is_size_zoom_constant:+(\"constant\"===t||\"source\"===t),u_is_size_feature_constant:+(\"constant\"===t||\"camera\"===t),u_size_t:e?e.uSizeT:0,u_size:e?e.uSize:0,u_camera_to_center_distance:u.cameraToCenterDistance,u_pitch:u.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:u.width/u.height,u_fade_change:i.options.fadeDuration?i.symbolFadeChange:1,u_matrix:a,u_label_plane_matrix:o,u_coord_matrix:s,u_is_text:+l,u_pitch_with_map:+n,u_texsize:c,u_texture:0}},Yr=function(e,r,n,i,a,o,s,l,c,u,f){var h=a.transform;return t.extend(Gr(e,r,n,i,a,o,s,l,c,u),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Wr=function(e,r,n,i,a,o,s,l,c,u){return t.extend(Yr(e,r,n,i,a,o,s,l,!0,c,!0),{u_texsize_icon:u,u_texture_icon:1})},Xr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Zr=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,c=Math.pow(2,n.tileID.overscaledZ),u=n.tileSize*Math.pow(2,r.transform.tileZoom)/c,f=u*(n.tileID.canonical.x+n.tileID.wrap*c),h=u*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/pe(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},Jr={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Kr(e,r,n,i,a,o,s){for(var l=e.context,c=l.gl,u=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var g=i[d],m=r.getTile(g),v=m.getBucket(n);if(v){var y=g.posMatrix;0===a[0]&&0===a[1]||(y=e.translatePosMatrix(g.posMatrix,m,a,o));var x=s?v.textCollisionBox:v.iconCollisionBox,b=v.collisionCircleArray;if(b.length>0){var _=t.create(),w=y;t.mul(_,v.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,v.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&u.draw(l,c.LINES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,Cr(y,e.transform,m),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],I=E.circleArray[C+1],O=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,I,O,z,0),k.emplace(A++,P,I,O,z,1),k.emplace(A++,P,I,O,z,2),k.emplace(A++,P,I,O,z,3)}(!qr||qr.length<2*h)&&(qr=function(e){var r=2*e,n=new t.StructArrayLayout3ui6;n.resize(r),n._trim();for(var i=0;i<r;i++){var a=6*i;n.uint16[a+0]=4*i+0,n.uint16[a+1]=4*i+1,n.uint16[a+2]=4*i+2,n.uint16[a+3]=4*i+2,n.uint16[a+4]=4*i+3,n.uint16[a+5]=4*i+0}return n}(h));for(var D=l.createIndexBuffer(qr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Pr(N.transform,N.invTransform,e.transform);T.draw(l,c.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var Qr=t.identity(new Float32Array(16));function $r(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,c=-(s.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point((l/a+u[0])*o,(c/a+u[1])*o)}function tn(e,r,n,i,a,o,s,l,c,u,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,g={};p.clear();for(var m=0;m<h.length;m++){var v=h.get(m),y=e.allowVerticalPlacement&&!v.placedOrientation,x=v.hidden||!v.crossTileID||y?null:i[v.crossTileID];if(x){var b=new t.Point(v.anchorX,v.anchorY),_=te(b,n?l:s),w=ee(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,u,v)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/c);for(var k=x.width,A=x.height,M=$r(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?te(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&v.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<v.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&v.associatedIconIndex>=0&&(g[v.associatedIconIndex]={shiftedAnchor:S,angle:E})}else ue(v.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var I=C.get(P);if(I.hidden)ue(I.numGlyphs,d);else{var O=g[P];if(O)for(var z=0;z<I.numGlyphs;z++)t.addDynamicAttributes(d,O.shiftedAnchor,O.angle);else ue(I.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function en(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function rn(e,r,n,i,a,o,s,l,c,u,f,h){for(var p=e.context,d=p.gl,g=e.transform,m=\"map\"===l,v=\"map\"===c,y=m&&\"point\"!==n.layout.get(\"symbol-placement\"),x=m&&!v&&!y,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=e.depthModeForSublayer(0,At.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,I=a?E.textSizeData:E.iconSizeData,O=v||0!==g.pitch,z=e.useProgram(en(P,a,E),C),D=t.evaluateSizeForZoom(I,g.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===I.kind||\"camera\"===I.kind;U=O||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||O?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=pe(S,1,e.transform.zoom),G=Qt(M.posMatrix,v,m,e.transform,q),Y=$t(M.posMatrix,v,m,e.transform,q),W=w&&E.hasTextData(),X=\"none\"!==n.layout.get(\"icon-text-fit\")&&W&&E.hasIconData();y&&ne(E,M.posMatrix,e,a,G,Y,v,u);var Z=e.translatePosMatrix(M.posMatrix,S,o,s),J=y||a&&w||X?Qr:G,K=e.translatePosMatrix(Y,S,o,s,!0),Q=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),$={program:z,buffers:L,uniformValues:P?E.iconsInText?Wr(I.kind,D,x,v,e,Z,J,K,R,F):Yr(I.kind,D,x,v,e,Z,J,K,a,R,!0):Gr(I.kind,D,x,v,e,Z,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:Q};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:$})}else T.push({segments:L.segments,sortKey:0,state:$})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}nn(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function nn(t,e,r,n,i,a,o,s,l){var c=n.context,u=c.gl;i.draw(c,u.TRIANGLES,a,o,s,Et.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function an(t,e,r,n,i,a,o){var s,l,c,u,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),g=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var m=0,v=n;m<v.length;m+=1){var y=v[m],x=e.getTile(y);if(!d||x.patternsLoaded()){var b=x.getBucket(r);if(b){var _=b.programConfigurations.get(r.id),w=t.useProgram(l,_);d&&(t.context.activeTexture.set(h.TEXTURE0),x.imageAtlasTexture.bind(h.LINEAR,h.CLAMP_TO_EDGE),_.updatePaintBuffers(g));var T=p.constantOr(null);if(T&&x.imageAtlas){var k=x.imageAtlas,A=k.patternPositions[T.to.toString()],M=k.patternPositions[T.from.toString()];A&&M&&_.setConstantPatternPositions(A,M)}var S=t.translatePosMatrix(y.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){u=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];c=\"fillOutlinePattern\"===l&&d?Er(S,t,g,x,E):Sr(S,E)}else u=b.indexBuffer,f=b.segments,c=d?Mr(S,t,g,x):Ar(S);w.draw(t.context,s,i,t.stencilModeForClipping(y),a,Et.disabled,c,r.id,b.layoutVertexBuffer,u,f,r.paint,t.transform.zoom,_)}}}}function on(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,c=r.paint.get(\"fill-extrusion-pattern\"),u=c.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var g=d[p],m=e.getTile(g),v=m.getBucket(r);if(v){var y=v.programConfigurations.get(r.id),x=t.useProgram(u?\"fillExtrusionPattern\":\"fillExtrusion\",y);u&&(t.context.activeTexture.set(l.TEXTURE0),m.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),y.updatePaintBuffers(f));var b=c.constantOr(null);if(b&&m.imageAtlas){var _=m.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&y.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(g.posMatrix,m,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=u?kr(k,t,A,h,g,f,m):Tr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Et.backCCW,M,r.id,v.layoutVertexBuffer,v.indexBuffer,v.segments,r.paint,t.transform.zoom,y)}}}function sn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var c=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var u=function(t,e,r){var n=r.paint.get(\"hillshade-shadow-color\"),i=r.paint.get(\"hillshade-highlight-color\"),a=r.paint.get(\"hillshade-accent-color\"),o=r.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===r.paint.get(\"hillshade-illumination-anchor\")&&(o-=t.transform.angle);var s=!t.options.moving;return{u_matrix:t.transform.calculatePosMatrix(e.tileID.toUnwrapped(),s),u_image:0,u_latrange:Dr(t,e.tileID),u_light:[r.paint.get(\"hillshade-exaggeration\"),o],u_shadow:n,u_highlight:i,u_accent:a}}(t,e,r);c.draw(o,s.TRIANGLES,n,i,a,Et.disabled,u,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function ln(e,r,n,i,a,o,s){var l=e.context,c=l.gl,u=r.dem;if(u&&u.data){var f=u.dim,h=u.stride,p=u.getPixels();if(l.activeTexture.set(c.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(c.NEAREST,c.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,c.RGBA,{premultiply:!1}),r.demTexture.bind(c.NEAREST,c.CLAMP_TO_EDGE);l.activeTexture.set(c.TEXTURE0);var g=r.fbo;if(!g){var m=new t.Texture(l,{width:f,height:f,data:null},c.RGBA);m.bind(c.LINEAR,c.CLAMP_TO_EDGE),(g=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(m.texture)}l.bindFramebuffer.set(g.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,c.TRIANGLES,a,o,s,Et.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,u,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function cn(e,r,n,i,a){var o=i.paint.get(\"raster-fade-duration\");if(o>0){var s=t.browser.now(),l=(s-e.timeAdded)/o,c=r?(s-r.timeAdded)/o:-1,u=n.getSource(),f=a.coveringZoomLevel({tileSize:u.tileSize,roundZoom:u.roundZoom}),h=!r||Math.abs(r.tileID.overscaledZ-f)>Math.abs(e.tileID.overscaledZ-f),p=h&&e.refreshedUponExpiration?1:t.clamp(h?l:1-c,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var un=new t.Color(1,0,0,1),fn=new t.Color(0,1,0,1),hn=new t.Color(0,0,1,1),pn=new t.Color(1,0,1,1),dn=new t.Color(0,1,1,1);function gn(t){var e=t.transform.padding;mn(t,t.transform.height-(e.top||0),3,un),mn(t,e.bottom||0,3,fn),vn(t,e.left||0,3,hn),vn(t,t.transform.width-(e.right||0),3,pn);var r=t.transform.centerPoint;!function(t,e,r,n){yn(t,e-1,r-10,2,20,n),yn(t,e-10,r-1,20,2,n)}(t,r.x,t.transform.height-r.y,dn)}function mn(t,e,r,n){yn(t,0,e+r/2,t.transform.width,r,n)}function vn(t,e,r,n){yn(t,e-r/2,0,r,t.transform.height,n)}function yn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function xn(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=At.disabled,c=Mt.disabled,u=e.colorModeForRenderPass();i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,c,u,Et.disabled,Ir(o,t.Color.red),\"$debug\",e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var f=r.getTileByID(n.key).latestRawTileData,h=f&&f.byteLength||0,p=Math.floor(h/1024),d=r.getTile(n).tileSize,g=512/Math.min(d,512)*(n.overscaledZ/e.transform.zoom)*.5,m=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(m+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,m+\" \"+p+\"kb\"),s.draw(i,a.TRIANGLES,l,c,St.alphaBlended,Et.disabled,Ir(o,t.Color.transparent,g),\"$debug\",e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var bn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Mt.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,c=\"map\"===a,u=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),g=d.getBucket(n);if(g&&g.text&&g.text.segments.get().length){var m=g.textSizeData,v=t.evaluateSizeForZoom(m,l.zoom),y=pe(d,1,r.transform.zoom),x=Qt(p.posMatrix,u,c,r.transform,y),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&g.hasIconData();if(v){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);tn(g,c,u,s,t.symbolSize,l,x,p.posMatrix,_,v,b)}}}}(i,e,n,r,n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),a),0!==n.paint.get(\"icon-opacity\").constantOr(1)&&rn(e,r,n,i,!1,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),n.layout.get(\"icon-rotation-alignment\"),n.layout.get(\"icon-pitch-alignment\"),n.layout.get(\"icon-keep-upright\"),o,s),0!==n.paint.get(\"text-opacity\").constantOr(1)&&rn(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(Kr(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Kr(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var c=e.context,u=c.gl,f=e.depthModeForSublayer(0,At.ReadOnly),h=Mt.disabled,p=e.colorModeForRenderPass(),d=[],g=0;g<i.length;g++){var m=i[g],v=r.getTile(m),y=v.getBucket(n);if(y){var x=y.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:y.layoutVertexBuffer,indexBuffer:y.indexBuffer,uniformValues:Lr(e,m,v,n)};if(l)for(var _=0,w=y.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:y.segments,sortKey:0,state:b})}}l&&d.sort((function(t,e){return t.sortKey-e.sortKey}));for(var k=0,A=d;k<A.length;k+=1){var M=A[k],S=M.state,E=S.programConfiguration,L=S.program,C=S.layoutVertexBuffer,P=S.indexBuffer,I=S.uniformValues,O=M.segments;L.draw(c,u.TRIANGLES,f,h,p,Et.disabled,I,n.id,C,P,O,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Mt.disabled,l=new St([o.ONE,o.ONE],t.Color.transparent,[!0,!0,!0,!0]);!function(t,e,r){var n=t.gl;t.activeTexture.set(n.TEXTURE1),t.viewport.set([0,0,e.width/4,e.height/4]);var i=r.heatmapFbo;if(i)n.bindTexture(n.TEXTURE_2D,i.colorAttachment.get()),t.bindFramebuffer.set(i.framebuffer);else{var a=n.createTexture();n.bindTexture(n.TEXTURE_2D,a),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_S,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_WRAP_T,n.CLAMP_TO_EDGE),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MIN_FILTER,n.LINEAR),n.texParameteri(n.TEXTURE_2D,n.TEXTURE_MAG_FILTER,n.LINEAR),i=r.heatmapFbo=t.createFramebuffer(e.width/4,e.height/4,!1),function(t,e,r,n){var i=t.gl,a=t.extRenderToTextureHalfFloat?t.extTextureHalfFloat.HALF_FLOAT_OES:i.UNSIGNED_BYTE;i.texImage2D(i.TEXTURE_2D,0,i.RGBA,e.width/4,e.height/4,0,i.RGBA,a,null),n.colorAttachment.set(r)}(t,e,a,i)}}(a,e,n),a.clear({color:t.Color.transparent});for(var c=0;c<i.length;c++){var u=i[c];if(!r.hasRenderableParent(u)){var f=r.getTile(u),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),g=e.transform.zoom;d.draw(a,o.TRIANGLES,At.disabled,s,l,Et.disabled,zr(u.posMatrix,f,g,n.paint.get(\"heatmap-intensity\")),n.id,h.layoutVertexBuffer,h.indexBuffer,h.segments,n.paint,e.transform.zoom,p)}}}a.viewport.set([0,0,e.width,e.height])}else\"translucent\"===e.renderPass&&(e.context.setColorMode(e.colorModeForRenderPass()),function(e,r){var n=e.context,i=n.gl,a=r.heatmapFbo;if(!a)return;n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA));o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,At.disabled,Mt.disabled,e.colorModeForRenderPass(),Et.disabled,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,At.ReadOnly),l=e.colorModeForRenderPass(),c=n.paint.get(\"line-dasharray\"),u=n.paint.get(\"line-pattern\"),f=u.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":c?\"lineSDF\":h?\"lineGradient\":\"line\",g=e.context,m=g.gl,v=!0;if(h){g.activeTexture.set(m.TEXTURE0);var y=n.gradientTexture;if(!n.gradient)return;y||(y=n.gradientTexture=new t.Texture(g,n.gradient,m.RGBA)),y.bind(m.LINEAR,m.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=v||M.program!==A,E=u.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var I=f?Br(e,w,n,p):c?Nr(e,w,n,c,p):h?Fr(e,w,n):Rr(e,w,n);f?(g.activeTexture.set(m.TEXTURE0),w.imageAtlasTexture.bind(m.LINEAR,m.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):c&&(S||e.lineAtlas.dirty)&&(g.activeTexture.set(m.TEXTURE0),e.lineAtlas.bind(g)),M.draw(g,m.TRIANGLES,s,e.stencilModeForClipping(_),l,Et.disabled,I,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),v=!1}}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),c=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===c){var u=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?At.ReadWrite:At.ReadOnly);an(e,r,n,i,u,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,At.ReadOnly);an(e,r,n,i,f,s,!0)}}},\"fill-extrusion\":function(t,e,r,n){var i=r.paint.get(\"fill-extrusion-opacity\");if(0!==i&&\"translucent\"===t.renderPass){var a=new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))on(t,e,r,n,a,Mt.disabled,St.disabled),on(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();on(t,e,r,n,a,Mt.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=e.getSource().maxzoom,o=t.depthModeForSublayer(0,At.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],c=l[0],u=0,f=l[1];u<f.length;u+=1){var h=f[u],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?ln(t,p,r,a,o,Mt.disabled,s):\"translucent\"===t.renderPass&&sn(t,p,r,o,c[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),c=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),u=c[0],f=c[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,g=f;d<g.length;d+=1){var m=g[d],v=t.depthModeForSublayer(m.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?At.ReadWrite:At.ReadOnly,a.LESS),y=e.getTile(m),x=t.transform.calculatePosMatrix(m.toUnwrapped(),p);y.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(m,0),_=cn(y,b,e,r,t.transform),w=void 0,T=void 0,k=\"nearest\"===r.paint.get(\"raster-resampling\")?a.NEAREST:a.LINEAR;i.activeTexture.set(a.TEXTURE0),y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),i.activeTexture.set(a.TEXTURE1),b?(b.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST),w=Math.pow(2,b.tileID.overscaledZ-y.tileID.overscaledZ),T=[y.tileID.canonical.x*w%1,y.tileID.canonical.y*w%1]):y.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Vr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,v,Mt.disabled,l,Et.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,v,u[m.overscaledZ],l,Et.disabled,A,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}},background:function(t,e,r){var n=r.paint.get(\"background-color\"),i=r.paint.get(\"background-opacity\");if(0!==i){var a=t.context,o=a.gl,s=t.transform,l=s.tileSize,c=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(c)){var u=!c&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===u){var f=Mt.disabled,h=t.depthModeForSublayer(0,\"opaque\"===u?At.ReadWrite:At.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(c?\"backgroundPattern\":\"background\"),g=s.coveringTiles({tileSize:l});c&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var m=r.getCrossfadeParameters(),v=0,y=g;v<y.length;v+=1){var x=y[v],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=c?Zr(b,i,t,c,{tileID:x,tileSize:l},m):Xr(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Et.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)xn(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Mt.disabled);var o=\"3d\"===i.renderingMode?new At(t.context.gl.LEQUAL,At.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,At.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},_n=function(t,e){this.context=new Lt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ct.maxUnderzooming+Ct.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ne,this.gpuTimers={}};_n.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},_n.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Ge.members),this.tileExtentSegments=t.SegmentVector.simpleSegment(0,0,4,2);var n=new t.StructArrayLayout2i4;n.emplaceBack(0,0),n.emplaceBack(t.EXTENT,0),n.emplaceBack(0,t.EXTENT),n.emplaceBack(t.EXTENT,t.EXTENT),this.debugBuffer=e.createVertexBuffer(n,Ge.members),this.debugSegments=t.SegmentVector.simpleSegment(0,0,4,5);var i=new t.StructArrayLayout4i8;i.emplaceBack(0,0,0,0),i.emplaceBack(t.EXTENT,0,t.EXTENT,0),i.emplaceBack(0,t.EXTENT,0,t.EXTENT),i.emplaceBack(t.EXTENT,t.EXTENT,t.EXTENT,t.EXTENT),this.rasterBoundsBuffer=e.createVertexBuffer(i,P.members),this.rasterBoundsSegments=t.SegmentVector.simpleSegment(0,0,4,2);var a=new t.StructArrayLayout2i4;a.emplaceBack(0,0),a.emplaceBack(1,0),a.emplaceBack(0,1),a.emplaceBack(1,1),this.viewportBuffer=e.createVertexBuffer(a,Ge.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Mt({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},_n.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,At.disabled,this.stencilClearMode,St.disabled,Et.disabled,Or(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},_n.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(St.disabled),r.setDepthMode(At.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,At.disabled,new Mt({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),St.disabled,Et.disabled,Or(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},_n.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Mt({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Mt({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},_n.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Mt({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Mt.disabled,e),n]},_n.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){return new St([e.CONSTANT_COLOR,e.ONE],new t.Color(1/8,1/8,1/8,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?St.unblended:St.alphaBlended},_n.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return At.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new At(r||this.context.gl.LEQUAL,e,[n,n])},_n.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},_n.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,c,u={},f={},h={};for(var p in a){var d=a[p];u[p]=d.getVisibleCoordinates(),f[p]=u[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var g=0;g<i.length;g++){var m=i[g];if(this.style._layers[m].is3D()){this.opaquePassCutoff=g;break}}this.renderPass=\"offscreen\";for(var v=0,y=i;v<y.length;v+=1){var x=y[v],b=this.style._layers[x];if(b.hasOffscreenPass()&&!b.isHidden(this.transform.zoom)){var _=f[b.source];(\"custom\"===b.type||_.length)&&this.renderLayer(this,a[b.source],b,_)}}for(this.context.bindFramebuffer.set(null),this.context.clear({color:r.showOverdrawInspector?t.Color.black:t.Color.transparent,depth:1}),this.clearStencil(),this._showOverdrawInspector=r.showOverdrawInspector,this.depthRangeFor3D=[0,1-(e._order.length+2)*this.numSublayers*this.depthEpsilon],this.renderPass=\"opaque\",this.currentLayer=i.length-1;this.currentLayer>=0;this.currentLayer--){var w=this.style._layers[i[this.currentLayer]],T=a[w.source],k=u[w.source];this._renderTileClippingMasks(w,k),this.renderLayer(this,T,w,k)}for(this.renderPass=\"translucent\",this.currentLayer=0;this.currentLayer<i.length;this.currentLayer++){var A=this.style._layers[i[this.currentLayer]],M=a[A.source],S=(\"symbol\"===A.type?h:f)[A.source];this._renderTileClippingMasks(A,u[A.source]),this.renderLayer(this,M,A,S)}this.options.showTileBoundaries&&(t.values(this.style._layers).forEach((function(t){t.source&&!t.isHidden(n.transform.zoom)&&(t.source!==(c&&c.id)&&(c=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<c.getSource().maxzoom)&&(l=c))})),l&&bn.debug(this,l,l.getVisibleCoordinates()));this.options.showPadding&&gn(this),this.context.setDefault()},_n.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),bn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},_n.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},_n.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},_n.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},_n.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},_n.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var c=[a?n[0]:pe(r,n[0],this.transform.zoom),a?n[1]:pe(r,n[1],this.transform.zoom),0],u=new Float32Array(16);return t.translate(u,e,c),u},_n.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},_n.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},_n.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},_n.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new _r(this.context,xr[t],e,Jr[t],this._showOverdrawInspector)),this.cache[r]},_n.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},_n.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},_n.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},_n.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var wn=function(t,e){this.points=t,this.planes=e};wn.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new wn(a,o)};var Tn=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Tn.prototype.quadrant=function(e){for(var r=[e%2==0,e<2],n=t.clone$2(this.min),i=t.clone$2(this.max),a=0;a<r.length;a++)n[a]=r[a]?this.min[a]:this.center[a],i[a]=r[a]?this.center[a]:this.max[a];return i[2]=this.max[2],new Tn(n,i)},Tn.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Tn.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Tn.prototype.intersects=function(e){for(var r=[[this.min[0],this.min[1],0,1],[this.max[0],this.min[1],0,1],[this.max[0],this.max[1],0,1],[this.min[0],this.max[1],0,1]],n=!0,i=0;i<e.planes.length;i++){for(var a=e.planes[i],o=0,s=0;s<r.length;s++)o+=t.dot$1(a,r[s])>=0;if(0===o)return 0;o!==r.length&&(n=!1)}if(n)return 2;for(var l=0;l<3;l++){for(var c=Number.MAX_VALUE,u=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];c=Math.min(c,h),u=Math.max(u,h)}if(u<0||c>this.max[l]-this.min[l])return 0}return 1};var kn=function(t,e,r,n){if(void 0===t&&(t=0),void 0===e&&(e=0),void 0===r&&(r=0),void 0===n&&(n=0),isNaN(t)||t<0||isNaN(e)||e<0||isNaN(r)||r<0||isNaN(n)||n<0)throw new Error(\"Invalid value for edge-insets, top, bottom, left and right must all be numbers\");this.top=t,this.bottom=e,this.left=r,this.right=n};kn.prototype.interpolate=function(e,r,n){return null!=r.top&&null!=e.top&&(this.top=t.number(e.top,r.top,n)),null!=r.bottom&&null!=e.bottom&&(this.bottom=t.number(e.bottom,r.bottom,n)),null!=r.left&&null!=e.left&&(this.left=t.number(e.left,r.left,n)),null!=r.right&&null!=e.right&&(this.right=t.number(e.right,r.right,n)),this},kn.prototype.getCenter=function(e,r){var n=t.clamp((this.left+e-this.right)/2,0,e),i=t.clamp((this.top+r-this.bottom)/2,0,r);return new t.Point(n,i)},kn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},kn.prototype.clone=function(){return new kn(this.top,this.bottom,this.left,this.right)},kn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var An=function(e,r,n,i,a){this.tileSize=512,this.maxValidLatitude=85.051129,this._renderWorldCopies=void 0===a||a,this._minZoom=e||0,this._maxZoom=r||22,this._minPitch=null==n?0:n,this._maxPitch=null==i?60:i,this.setMaxBounds(),this.width=0,this.height=0,this._center=new t.LngLat(0,0),this.zoom=0,this.angle=0,this._fov=.6435011087932844,this._pitch=0,this._unmodified=!0,this._edgeInsets=new kn,this._posMatrixCache={},this._alignedPosMatrixCache={}},Mn={minZoom:{configurable:!0},maxZoom:{configurable:!0},minPitch:{configurable:!0},maxPitch:{configurable:!0},renderWorldCopies:{configurable:!0},worldSize:{configurable:!0},centerOffset:{configurable:!0},size:{configurable:!0},bearing:{configurable:!0},pitch:{configurable:!0},fov:{configurable:!0},zoom:{configurable:!0},center:{configurable:!0},padding:{configurable:!0},centerPoint:{configurable:!0},unmodified:{configurable:!0},point:{configurable:!0}};An.prototype.clone=function(){var t=new An(this._minZoom,this._maxZoom,this._minPitch,this.maxPitch,this._renderWorldCopies);return t.tileSize=this.tileSize,t.latRange=this.latRange,t.width=this.width,t.height=this.height,t._center=this._center,t.zoom=this.zoom,t.angle=this.angle,t._fov=this._fov,t._pitch=this._pitch,t._unmodified=this._unmodified,t._edgeInsets=this._edgeInsets.clone(),t._calcMatrices(),t},Mn.minZoom.get=function(){return this._minZoom},Mn.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},Mn.maxZoom.get=function(){return this._maxZoom},Mn.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},Mn.minPitch.get=function(){return this._minPitch},Mn.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},Mn.maxPitch.get=function(){return this._maxPitch},Mn.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},Mn.renderWorldCopies.get=function(){return this._renderWorldCopies},Mn.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},Mn.worldSize.get=function(){return this.tileSize*this.scale},Mn.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},Mn.size.get=function(){return new t.Point(this.width,this.height)},Mn.bearing.get=function(){return-this.angle/Math.PI*180},Mn.bearing.set=function(e){var r=-t.wrap(e,-180,180)*Math.PI/180;this.angle!==r&&(this._unmodified=!1,this.angle=r,this._calcMatrices(),this.rotationMatrix=t.create$2(),t.rotate(this.rotationMatrix,this.rotationMatrix,this.angle))},Mn.pitch.get=function(){return this._pitch/Math.PI*180},Mn.pitch.set=function(e){var r=t.clamp(e,this.minPitch,this.maxPitch)/180*Math.PI;this._pitch!==r&&(this._unmodified=!1,this._pitch=r,this._calcMatrices())},Mn.fov.get=function(){return this._fov/Math.PI*180},Mn.fov.set=function(t){t=Math.max(.01,Math.min(60,t)),this._fov!==t&&(this._unmodified=!1,this._fov=t/180*Math.PI,this._calcMatrices())},Mn.zoom.get=function(){return this._zoom},Mn.zoom.set=function(t){var e=Math.min(Math.max(t,this.minZoom),this.maxZoom);this._zoom!==e&&(this._unmodified=!1,this._zoom=e,this.scale=this.zoomScale(e),this.tileZoom=Math.floor(e),this.zoomFraction=e-this.tileZoom,this._constrain(),this._calcMatrices())},Mn.center.get=function(){return this._center},Mn.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},Mn.padding.get=function(){return this._edgeInsets.toJSON()},Mn.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},Mn.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},An.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},An.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},An.prototype.coveringZoomLevel=function(t){var e=(t.roundZoom?Math.round:Math.floor)(this.zoom+this.scaleZoom(this.tileSize/t.tileSize));return Math.max(0,e)},An.prototype.getVisibleUnwrappedCoordinates=function(e){var r=[new t.UnwrappedTileID(0,e)];if(this._renderWorldCopies)for(var n=this.pointCoordinate(new t.Point(0,0)),i=this.pointCoordinate(new t.Point(this.width,0)),a=this.pointCoordinate(new t.Point(this.width,this.height)),o=this.pointCoordinate(new t.Point(0,this.height)),s=Math.floor(Math.min(n.x,i.x,a.x,o.x)),l=Math.floor(Math.max(n.x,i.x,a.x,o.x)),c=s-1;c<=l+1;c++)0!==c&&r.push(new t.UnwrappedTileID(c,e));return r},An.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=wn.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var c=function(t){return{aabb:new Tn([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},u=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)u.push(c(-d)),u.push(c(d));for(u.push(c(0));u.length>0;){var g=u.pop(),m=g.x,v=g.y,y=g.fullyVisible;if(!y){var x=g.aabb.intersects(s);if(0===x)continue;y=2===x}var b=g.aabb.distanceX(o),_=g.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-g.zoom)-2;if(g.zoom===h||w>T&&g.zoom>=l)f.push({tileID:new t.OverscaledTileID(g.zoom===h?p:g.zoom,g.wrap,g.zoom,m,v),distanceSq:t.sqrLen([o[0]-.5-m,o[1]-.5-v])});else for(var k=0;k<4;k++){var A=(m<<1)+k%2,M=(v<<1)+(k>>1);u.push({aabb:g.aabb.quadrant(k),zoom:g.zoom+1,x:A,y:M,wrap:g.wrap,fullyVisible:y})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},An.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},Mn.unmodified.get=function(){return this._unmodified},An.prototype.zoomScale=function(t){return Math.pow(2,t)},An.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},An.prototype.project=function(e){var r=t.clamp(e.lat,-this.maxValidLatitude,this.maxValidLatitude);return new t.Point(t.mercatorXfromLng(e.lng)*this.worldSize,t.mercatorYfromLat(r)*this.worldSize)},An.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},Mn.point.get=function(){return this.project(this.center)},An.prototype.setLocationAtPoint=function(e,r){var n=this.pointCoordinate(r),i=this.pointCoordinate(this.centerPoint),a=this.locationCoordinate(e),o=new t.MercatorCoordinate(a.x-(n.x-i.x),a.y-(n.y-i.y));this.center=this.coordinateLocation(o),this._renderWorldCopies&&(this.center=this.center.wrap())},An.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},An.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},An.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},An.prototype.coordinateLocation=function(t){return t.toLngLat()},An.prototype.pointCoordinate=function(e){var r=[e.x,e.y,0,1],n=[e.x,e.y,1,1];t.transformMat4(r,r,this.pixelMatrixInverse),t.transformMat4(n,n,this.pixelMatrixInverse);var i=r[3],a=n[3],o=r[0]/i,s=n[0]/a,l=r[1]/i,c=n[1]/a,u=r[2]/i,f=n[2]/a,h=u===f?0:(0-u)/(f-u);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,c,h)/this.worldSize)},An.prototype.coordinatePoint=function(e){var r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix),new t.Point(r[0]/r[3],r[1]/r[3])},An.prototype.getBounds=function(){return(new t.LngLatBounds).extend(this.pointLocation(new t.Point(0,0))).extend(this.pointLocation(new t.Point(this.width,0))).extend(this.pointLocation(new t.Point(this.width,this.height))).extend(this.pointLocation(new t.Point(0,this.height)))},An.prototype.getMaxBounds=function(){return this.latRange&&2===this.latRange.length&&this.lngRange&&2===this.lngRange.length?new t.LngLatBounds([this.lngRange[0],this.latRange[0]],[this.lngRange[1],this.latRange[1]]):null},An.prototype.setMaxBounds=function(t){t?(this.lngRange=[t.getWest(),t.getEast()],this.latRange=[t.getSouth(),t.getNorth()],this._constrain()):(this.lngRange=null,this.latRange=[-this.maxValidLatitude,this.maxValidLatitude])},An.prototype.calculatePosMatrix=function(e,r){void 0===r&&(r=!1);var n=e.key,i=r?this._alignedPosMatrixCache:this._posMatrixCache;if(i[n])return i[n];var a=e.canonical,o=this.worldSize/this.zoomScale(a.z),s=a.x+Math.pow(2,a.z)*e.wrap,l=t.identity(new Float64Array(16));return t.translate(l,l,[s*o,a.y*o,0]),t.scale(l,l,[o/t.EXTENT,o/t.EXTENT,1]),t.multiply(l,r?this.alignedProjMatrix:this.projMatrix,l),i[n]=new Float32Array(l),i[n]},An.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},An.prototype._constrain=function(){if(this.center&&this.width&&this.height&&!this._constraining){this._constraining=!0;var e,r,n,i,a=-90,o=90,s=-180,l=180,c=this.size,u=this._unmodified;if(this.latRange){var f=this.latRange;a=t.mercatorYfromLat(f[1])*this.worldSize,e=(o=t.mercatorYfromLat(f[0])*this.worldSize)-a<c.y?c.y/(o-a):0}if(this.lngRange){var h=this.lngRange;s=t.mercatorXfromLng(h[0])*this.worldSize,r=(l=t.mercatorXfromLng(h[1])*this.worldSize)-s<c.x?c.x/(l-s):0}var p=this.point,d=Math.max(r||0,e||0);if(d)return this.center=this.unproject(new t.Point(r?(l+s)/2:p.x,e?(o+a)/2:p.y)),this.zoom+=this.scaleZoom(d),this._unmodified=u,void(this._constraining=!1);if(this.latRange){var g=p.y,m=c.y/2;g-m<a&&(i=a+m),g+m>o&&(i=o-m)}if(this.lngRange){var v=p.x,y=c.x/2;v-y<s&&(n=s+y),v+y>l&&(n=l-y)}void 0===n&&void 0===i||(this.center=this.unproject(new t.Point(void 0!==n?n:p.x,void 0!==i?i:p.y))),this._unmodified=u,this._constraining=!1}},An.prototype._calcMatrices=function(){if(this.height){var e=this._fov/2,r=this.centerOffset;this.cameraToCenterDistance=.5/Math.tan(e)*this.height;var n=Math.PI/2+this._pitch,i=this._fov*(.5+r.y/this.height),a=Math.sin(i)*this.cameraToCenterDistance/Math.sin(t.clamp(Math.PI-n-i,.01,Math.PI-.01)),o=this.point,s=o.x,l=o.y,c=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),u=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,u,c),f[8]=2*-r.x/this.width,f[9]=2*r.y/this.height,t.scale(f,f,[1,-1,1]),t.translate(f,f,[0,0,-this.cameraToCenterDistance]),t.rotateX(f,f,this._pitch),t.rotateZ(f,f,this.angle),t.translate(f,f,[-s,-l,0]),this.mercatorMatrix=t.scale([],f,[this.worldSize,this.worldSize,this.worldSize]),t.scale(f,f,[1,1,t.mercatorZfromAltitude(1,this.center.lat)*this.worldSize,1]),this.projMatrix=f,this.invProjMatrix=t.invert([],this.projMatrix);var h=this.width%2/2,p=this.height%2/2,d=Math.cos(this.angle),g=Math.sin(this.angle),m=s-Math.round(s)+d*h+g*p,v=l-Math.round(l)+d*p+g*h,y=new Float64Array(f);if(t.translate(y,y,[m>.5?m-1:m,v>.5?v-1:v,0]),this.alignedProjMatrix=y,f=t.create(),t.scale(f,f,[this.width/2,-this.height/2,1]),t.translate(f,f,[1,-1,0]),this.labelPlaneMatrix=f,f=t.create(),t.scale(f,f,[1,-1,1]),t.translate(f,f,[-1,-1,0]),t.scale(f,f,[2/this.width,2/this.height,1]),this.glCoordMatrix=f,this.pixelMatrix=t.multiply(new Float64Array(16),this.labelPlaneMatrix,this.projMatrix),!(f=t.invert(new Float64Array(16),this.pixelMatrix)))throw new Error(\"failed to invert matrix\");this.pixelMatrixInverse=f,this._posMatrixCache={},this._alignedPosMatrixCache={}}},An.prototype.maxPitchScaleFactor=function(){if(!this.pixelMatrixInverse)return 1;var e=this.pointCoordinate(new t.Point(0,0)),r=[e.x*this.worldSize,e.y*this.worldSize,0,1];return t.transformMat4(r,r,this.pixelMatrix)[3]/this.cameraToCenterDistance},An.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},An.prototype.getCameraQueryGeometry=function(e){var r=this.getCameraPoint();if(1===e.length)return[e[0],r];for(var n=r.x,i=r.y,a=r.x,o=r.y,s=0,l=e;s<l.length;s+=1){var c=l[s];n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y)}return[new t.Point(n,i),new t.Point(a,i),new t.Point(a,o),new t.Point(n,o),new t.Point(n,i)]},Object.defineProperties(An.prototype,Mn);var Sn=function(e){var r,n,i,a,o;this._hashName=e&&encodeURIComponent(e),t.bindAll([\"_getCurrentHash\",\"_onHashChange\",\"_updateHash\"],this),this._updateHash=(r=this._updateHashUnthrottled.bind(this),n=300,i=!1,a=null,o=function(){a=null,i&&(r(),a=setTimeout(o,n),i=!1)},function(){return i=!0,a||o(),a})};Sn.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Sn.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Sn.prototype.getHashString=function(e){var r=this._map.getCenter(),n=Math.round(100*this._map.getZoom())/100,i=Math.ceil((n*Math.LN2+Math.log(512/360/.5))/Math.LN10),a=Math.pow(10,i),o=Math.round(r.lng*a)/a,s=Math.round(r.lat*a)/a,l=this._map.getBearing(),c=this._map.getPitch(),u=\"\";if(u+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||c)&&(u+=\"/\"+Math.round(10*l)/10),c&&(u+=\"/\"+Math.round(c)),this._hashName){var f=this._hashName,h=!1,p=t.window.location.hash.slice(1).split(\"&\").map((function(t){var e=t.split(\"=\")[0];return e===f?(h=!0,e+\"=\"+u):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+u),\"#\"+p.join(\"&\")}return\"#\"+u},Sn.prototype._getCurrentHash=function(){var e,r=this,n=t.window.location.hash.replace(\"#\",\"\");return this._hashName?(n.split(\"&\").map((function(t){return t.split(\"=\")})).forEach((function(t){t[0]===r._hashName&&(e=t)})),(e&&e[1]||\"\").split(\"/\")):n.split(\"/\")},Sn.prototype._onHashChange=function(){var t=this._getCurrentHash();if(t.length>=3&&!t.some((function(t){return isNaN(t)}))){var e=this._map.dragRotate.isEnabled()&&this._map.touchZoomRotate.isEnabled()?+(t[3]||0):this._map.getBearing();return this._map.jumpTo({center:[+t[2],+t[1]],zoom:+t[0],bearing:e,pitch:+(t[4]||0)}),!0}return!1},Sn.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var En={linearity:.3,easing:t.bezier(0,0,.3,1)},Ln=t.extend({deceleration:2500,maxSpeed:1400},En),Cn=t.extend({deceleration:20,maxSpeed:1400},En),Pn=t.extend({deceleration:1e3,maxSpeed:360},En),In=t.extend({deceleration:1e3,maxSpeed:90},En),On=function(t){this._map=t,this.clear()};function zn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Dn(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}On.prototype.clear=function(){this._inertiaBuffer=[]},On.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},On.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},On.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Dn(r.pan.mag(),o,t.extend({},Ln,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,zn(s,l)}if(r.zoom){var c=Dn(r.zoom,o,Cn);s.zoom=this._map.transform.zoom+c.amount,zn(s,c)}if(r.bearing){var u=Dn(r.bearing,o,Pn);s.bearing=this._map.transform.bearing+t.clamp(u.amount,-179,179),zn(s,u)}if(r.pitch){var f=Dn(r.pitch,o,In);s.pitch=this._map.transform.pitch+f.amount,zn(s,f)}if(s.zoom||s.bearing){var h=void 0===r.pinchAround?r.around:r.pinchAround;s.around=h?this._map.unproject(h):this._map.getCenter()}return this.clear(),t.extend(s,{noMoveStart:!0})}};var Rn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Fn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),c=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),u=i.unproject(c);e.call(this,n,{points:s,point:c,lngLats:l,lngLat:u,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Bn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Nn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Nn.prototype.reset=function(){delete this._mousedownPos},Nn.prototype.wheel=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Nn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseup=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.dblclick=function(t){return this._firePreventable(new Rn(t.type,this._map,t))},Nn.prototype.mouseover=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.mouseout=function(t){this._map.fire(new Rn(t.type,this._map,t))},Nn.prototype.touchstart=function(t){return this._firePreventable(new Fn(t.type,this._map,t))},Nn.prototype.touchmove=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchend=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype.touchcancel=function(t){this._map.fire(new Fn(t.type,this._map,t))},Nn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Nn.prototype.isEnabled=function(){return!0},Nn.prototype.isActive=function(){return!1},Nn.prototype.enable=function(){},Nn.prototype.disable=function(){};var jn=function(t){this._map=t};jn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},jn.prototype.mousemove=function(t){this._map.fire(new Rn(t.type,this._map,t))},jn.prototype.mousedown=function(){this._delayContextMenu=!0},jn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Rn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},jn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Rn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},jn.prototype.isEnabled=function(){return!0},jn.prototype.isActive=function(){return!1},jn.prototype.enable=function(){},jn.prototype.disable=function(){};var Un=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Vn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Un.prototype.isEnabled=function(){return!!this._enabled},Un.prototype.isActive=function(){return!!this._active},Un.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Un.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Un.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Un.prototype.mousemoveWindow=function(t,e){if(this._active){var n=e;if(!(this._lastPos.equals(n)||!this._box&&n.dist(this._startPos)<this._clickTolerance)){var i=this._startPos;this._lastPos=n,this._box||(this._box=r.create(\"div\",\"mapboxgl-boxzoom\",this._container),this._container.classList.add(\"mapboxgl-crosshair\"),this._fireEvent(\"boxzoomstart\",t));var a=Math.min(i.x,n.x),o=Math.max(i.x,n.x),s=Math.min(i.y,n.y),l=Math.max(i.y,n.y);r.setTransform(this._box,\"translate(\"+a+\"px,\"+s+\"px)\"),this._box.style.width=o-a+\"px\",this._box.style.height=l-s+\"px\"}}},Un.prototype.mouseupWindow=function(e,n){var i=this;if(this._active&&0===e.button){var a=this._startPos,o=n;if(this.reset(),r.suppressClick(),a.x!==o.x||a.y!==o.y)return this._map.fire(new t.Event(\"boxzoomend\",{originalEvent:e})),{cameraAnimation:function(t){return t.fitScreenCoordinates(a,o,i._map.getBearing(),{linear:!0})}};this._fireEvent(\"boxzoomcancel\",e)}},Un.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Un.prototype.reset=function(){this._active=!1,this._container.classList.remove(\"mapboxgl-crosshair\"),this._box&&(r.remove(this._box),this._box=null),r.enableDrag(),delete this._startPos,delete this._lastPos},Un.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Hn=function(t){this.reset(),this.numTouches=t.numTouches};Hn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Hn.prototype.touchstart=function(e,r,n){(this.centroid||n.length>this.numTouches)&&(this.aborted=!0),this.aborted||(void 0===this.startTime&&(this.startTime=e.timeStamp),n.length===this.numTouches&&(this.centroid=function(e){for(var r=new t.Point(0,0),n=0,i=e;n<i.length;n+=1){var a=i[n];r._add(a)}return r.div(e.length)}(r),this.touches=Vn(n,r)))},Hn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Vn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Hn.prototype.touchend=function(t,e,r){if((!this.centroid||t.timeStamp-this.startTime>500)&&(this.aborted=!0),0===r.length){var n=!this.aborted&&this.centroid;if(this.reset(),n)return n}};var qn=function(t){this.singleTap=new Hn(t),this.numTaps=t.numTaps,this.reset()};qn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},qn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},qn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},qn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Gn=function(){this._zoomIn=new qn({numTouches:1,numTaps:2}),this._zoomOut=new qn({numTouches:2,numTaps:1}),this.reset()};Gn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Gn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Gn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Gn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Gn.prototype.touchcancel=function(){this.reset()},Gn.prototype.enable=function(){this._enabled=!0},Gn.prototype.disable=function(){this._enabled=!1,this.reset()},Gn.prototype.isEnabled=function(){return this._enabled},Gn.prototype.isActive=function(){return this._active};var Yn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Yn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Yn.prototype._correctButton=function(t,e){return!1},Yn.prototype._move=function(t,e){return{}},Yn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Yn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Yn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Yn),Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Zn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Yn),Jn=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};Jn.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},Jn.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},Jn.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},Jn.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Vn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var c=i[l],u=this._touches[l];u&&(a._add(c),o._add(c.sub(u)),s++,i[l]=c)}if(this._touches=i,!(s<this._minTouches)&&o.mag()){var f=o.div(s);if(this._sum._add(f),!(this._sum.mag()<this._clickTolerance))return{around:a.div(s),panDelta:f}}},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var Kn=function(){this.reset()};function Qn(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Kn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Kn.prototype._start=function(t){},Kn.prototype._move=function(t,e,r){return{}},Kn.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},Kn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=Qn(r,e,i),s=Qn(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Kn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=Qn(n,e,a),l=Qn(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Kn.prototype.touchcancel=function(){this.reset()},Kn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Kn.prototype.disable=function(){this._enabled=!1,this.reset()},Kn.prototype.isEnabled=function(){return this._enabled},Kn.prototype.isActive=function(){return this._active};function $n(t,e){return Math.log(t/e)/Math.LN2}var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs($n(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:$n(this._distance,r),pinchAround:e}},e}(Kn);function ei(t,e){return 180*t.angleWith(e)/Math.PI}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:ei(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=ei(t,this._startVector);return Math.abs(r)<e},e}(Kn);function ni(t){return Math.abs(t.y)>Math.abs(t.x)}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),this._valid=void 0,delete this._firstMove,delete this._lastPoints},e.prototype._start=function(t){this._lastPoints=t,ni(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid){this._lastPoints=t,this._active=!0;return{pitchDelta:-.5*((n.y+i.y)/2)}}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ni(t)&&ni(e)&&a}},e}(Kn),ai={panStep:100,bearingStep:15,pitchStep:10},oi=function(){var t=ai;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function si(t){return t*(2-t)}oi.prototype.reset=function(){this._active=!1},oi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:si,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},oi.prototype.enable=function(){this._enabled=!0},oi.prototype.disable=function(){this._enabled=!1,this.reset()},oi.prototype.isEnabled=function(){return this._enabled},oi.prototype.isActive=function(){return this._active};var li=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=1/450,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};li.prototype.setZoomRate=function(t){this._defaultZoomRate=t},li.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},li.prototype.isEnabled=function(){return!!this._enabled},li.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},li.prototype.isZooming=function(){return!!this._zooming},li.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},li.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},li.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%4.000244140625==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},li.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},li.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},li.prototype.renderFrame=function(){return this._onScrollFrame()},li.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>4.000244140625?this._wheelZoomRate:this._defaultZoomRate,i=2/(1+Math.exp(-Math.abs(this._delta*n)));this._delta<0&&0!==i&&(i=1/i);var a=\"number\"==typeof this._targetZoom?r.zoomScale(this._targetZoom):r.scale;this._targetZoom=Math.min(r.maxZoom,Math.max(r.minZoom,r.scaleZoom(a*i))),\"wheel\"===this._type&&(this._startZoom=r.zoom,this._easing=this._smoothOutEasing(200)),this._delta=0}var o,s=\"number\"==typeof this._targetZoom?this._targetZoom:r.zoom,l=this._startZoom,c=this._easing,u=!1;if(\"wheel\"===this._type&&l&&c){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=c(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):u=!0}else o=s,u=!0;return this._active=!0,u&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!u,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},li.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},li.prototype.reset=function(){this._active=!1};var ci=function(t,e){this._clickZoom=t,this._tapZoom=e};ci.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},ci.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},ci.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},ci.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var ui=function(){this.reset()};ui.prototype.reset=function(){this._active=!1},ui.prototype.dblclick=function(t,e){return t.preventDefault(),{cameraAnimation:function(r){r.easeTo({duration:300,zoom:r.getZoom()+(t.shiftKey?-1:1),around:r.unproject(e)},{originalEvent:t})}}},ui.prototype.enable=function(){this._enabled=!0},ui.prototype.disable=function(){this._enabled=!1,this.reset()},ui.prototype.isEnabled=function(){return this._enabled},ui.prototype.isActive=function(){return this._active};var fi=function(){this._tap=new qn({numTouches:1,numTaps:1}),this.reset()};fi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},fi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},fi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},fi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},fi.prototype.touchcancel=function(){this.reset()},fi.prototype.enable=function(){this._enabled=!0},fi.prototype.disable=function(){this._enabled=!1,this.reset()},fi.prototype.isEnabled=function(){return this._enabled},fi.prototype.isActive=function(){return this._active};var hi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};hi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},hi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},hi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},hi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var pi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};pi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},pi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},pi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},pi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var di=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};di.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},di.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},di.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},di.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},di.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},di.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var gi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},mi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function vi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var yi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new On(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],c=s[1],u=s[2];r.addEventListener(l,c,l===t.window.document?this.handleWindowEvent:this.handleEvent,u)}};yi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},yi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Nn(e,t));var n=e.boxZoom=new Un(e,t);this._add(\"boxZoom\",n);var i=new Gn,a=new ui;e.doubleClickZoom=new ci(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new fi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new ii;this._add(\"touchPitch\",s);var l=new Xn(t),c=new Zn(t);e.dragRotate=new pi(t,l,c),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",c,[\"mouseRotate\"]);var u=new Wn(t),f=new Jn(t);e.dragPan=new hi(r,u,f),this._add(\"mousePan\",u),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ri,p=new ti;e.touchZoomRotate=new di(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new li(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var g=e.keyboard=new oi;this._add(\"keyboard\",g),this._add(\"blockableMapEvent\",new jn(e));for(var m=0,v=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];m<v.length;m+=1){var y=v[m];t.interactive&&t[y]&&e[y].enable(t[y])}},yi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},yi.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1){e[t].handler.reset()}this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},yi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1){if(e[t].handler.isActive())return!0}return!1},yi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},yi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},yi.prototype.isMoving=function(){return Boolean(gi(this._eventsInProgress))||this.isZooming()},yi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},yi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},yi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},yi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),c=0,u=this._handlers;c<u.length;c+=1){var f=u[c],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var g=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(g=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,g,h,n),g&&g.needsRenderFrame&&this._triggerRenderFrame()),(g||p.isActive())&&(o[h]=p)}}var m={};for(var v in this._previousActiveHandlers)o[v]||(m[v]=n);this._previousActiveHandlers=o,(Object.keys(m).length||vi(i))&&(this._changes.push([i,a,m]),this._triggerRenderFrame()),(Object.keys(o).length||vi(i))&&this._map._stop(!0),this._updatingCamera=!1;var y=i.cameraAnimation;y&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],y(this._map))}else this.stop()},yi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},yi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],c=o[2];s.panDelta&&(e.panDelta=(e.panDelta||new t.Point(0,0))._add(s.panDelta)),s.zoomDelta&&(e.zoomDelta=(e.zoomDelta||0)+s.zoomDelta),s.bearingDelta&&(e.bearingDelta=(e.bearingDelta||0)+s.bearingDelta),s.pitchDelta&&(e.pitchDelta=(e.pitchDelta||0)+s.pitchDelta),void 0!==s.around&&(e.around=s.around),void 0!==s.pinchAround&&(e.pinchAround=s.pinchAround),s.noInertia&&(e.noInertia=s.noInertia),t.extend(r,l),t.extend(n,c)}this._updateMapTransform(e,r,n),this._changes=[]},yi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!vi(t))return this._fireEvents(e,r);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,c=t.around,u=t.pinchAround;void 0!==u&&(c=u),n._stop(!0),c=c||n.transform.centerPoint;var f=i.pointLocation(a?c.sub(a):c);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,c),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r)},yi.prototype._fireEvents=function(e,r){var n=this,i=gi(this._eventsInProgress),a=gi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var c in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(c,o[c]);for(var u in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[u].originalEvent;this._fireEvent(u,f)}var h,p={};for(var d in this._eventsInProgress){var g=this._eventsInProgress[d],m=g.handlerName,v=g.originalEvent;this._handlersById[m].isActive()||(delete this._eventsInProgress[d],h=r[m]||v,p[d+\"end\"]=h)}for(var y in p)this._fireEvent(y,p[y]);var x=gi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},yi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},yi.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new mi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var xi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,c=s.project(t.LngLat.convert(e)),u=s.project(t.LngLat.convert(r)),f=c.rotate(-n*Math.PI/180),h=u.rotate(-n*Math.PI/180),p=new t.Point(Math.max(f.x,h.x),Math.max(f.y,h.y)),d=new t.Point(Math.min(f.x,h.x),Math.min(f.y,h.y)),g=p.sub(d),m=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/g.x,v=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/g.y;if(!(v<0||m<0)){var y=Math.min(s.scaleZoom(s.scale*Math.min(m,v)),i.maxZoom),x=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(y));return{center:s.unproject(c.add(u).div(2).sub(w)),zoom:y,bearing:n}}t.warnOnce(\"Map cannot fit within canvas with the given bounds, padding, and/or offset.\")},r.prototype.fitBounds=function(t,e,r){return this._fitInternal(this.cameraForBounds(t,e),e,r)},r.prototype.fitScreenCoordinates=function(e,r,n,i,a){return this._fitInternal(this._cameraForBoxAndBearing(this.transform.pointLocation(t.Point.convert(e)),this.transform.pointLocation(t.Point.convert(r)),n,i),i,a)},r.prototype._fitInternal=function(e,r,n){return e?(delete(r=t.extend(e,r)).padding,r.linear?this.easeTo(r,n):this.flyTo(r,n)):this},r.prototype.jumpTo=function(e,r){this.stop();var n=this.transform,i=!1,a=!1,o=!1;return\"zoom\"in e&&n.zoom!==+e.zoom&&(i=!0,n.zoom=+e.zoom),void 0!==e.center&&(n.center=t.LngLat.convert(e.center)),\"bearing\"in e&&n.bearing!==+e.bearing&&(a=!0,n.bearing=+e.bearing),\"pitch\"in e&&n.pitch!==+e.pitch&&(o=!0,n.pitch=+e.pitch),null==e.padding||n.isPaddingEqual(e.padding)||(n.padding=e.padding),this.fire(new t.Event(\"movestart\",r)).fire(new t.Event(\"move\",r)),i&&this.fire(new t.Event(\"zoomstart\",r)).fire(new t.Event(\"zoom\",r)).fire(new t.Event(\"zoomend\",r)),a&&this.fire(new t.Event(\"rotatestart\",r)).fire(new t.Event(\"rotate\",r)).fire(new t.Event(\"rotateend\",r)),o&&this.fire(new t.Event(\"pitchstart\",r)).fire(new t.Event(\"pitch\",r)).fire(new t.Event(\"pitchend\",r)),this.fire(new t.Event(\"moveend\",r))},r.prototype.easeTo=function(e,r){var n=this;this._stop(!1,e.easeId),(!1===(e=t.extend({offset:[0,0],duration:500,easing:t.ease},e)).animate||!e.essential&&t.browser.prefersReducedMotion)&&(e.duration=0);var i=this.transform,a=this.getZoom(),o=this.getBearing(),s=this.getPitch(),l=this.getPadding(),c=\"zoom\"in e?+e.zoom:a,u=\"bearing\"in e?this._normalizeBearing(e.bearing,o):o,f=\"pitch\"in e?+e.pitch:s,h=\"padding\"in e?e.padding:i.padding,p=t.Point.convert(e.offset),d=i.centerPoint.add(p),g=i.pointLocation(d),m=t.LngLat.convert(e.center||g);this._normalizeCenter(m);var v,y,x=i.project(g),b=i.project(m).sub(x),_=i.zoomScale(c-a);e.around&&(v=t.LngLat.convert(e.around),y=i.locationPoint(v));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||c!==a,this._rotating=this._rotating||o!==u,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),clearTimeout(this._easeEndTimeoutID),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,c,e)),n._rotating&&(i.bearing=t.number(o,u,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),v)i.setLocationAtPoint(v,y);else{var g=i.zoomScale(i.zoom-a),m=c>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(m,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(g));i.setLocationAtPoint(i.renderWorldCopies?T.wrap():T,d)}n._fireMoveEvents(r)}),(function(t){n._afterEase(r,t)}),e),this},r.prototype._prepareEase=function(e,r,n){void 0===n&&(n={}),this._moving=!0,r||n.moving||this.fire(new t.Event(\"movestart\",e)),this._zooming&&!n.zooming&&this.fire(new t.Event(\"zoomstart\",e)),this._rotating&&!n.rotating&&this.fire(new t.Event(\"rotatestart\",e)),this._pitching&&!n.pitching&&this.fire(new t.Event(\"pitchstart\",e))},r.prototype._fireMoveEvents=function(e){this.fire(new t.Event(\"move\",e)),this._zooming&&this.fire(new t.Event(\"zoom\",e)),this._rotating&&this.fire(new t.Event(\"rotate\",e)),this._pitching&&this.fire(new t.Event(\"pitch\",e))},r.prototype._afterEase=function(e,r){if(!this._easeId||!r||this._easeId!==r){delete this._easeId;var n=this._zooming,i=this._rotating,a=this._pitching;this._moving=!1,this._zooming=!1,this._rotating=!1,this._pitching=!1,this._padding=!1,n&&this.fire(new t.Event(\"zoomend\",e)),i&&this.fire(new t.Event(\"rotateend\",e)),a&&this.fire(new t.Event(\"pitchend\",e)),this.fire(new t.Event(\"moveend\",e))}},r.prototype.flyTo=function(e,r){var n=this;if(!e.essential&&t.browser.prefersReducedMotion){var i=t.pick(e,[\"center\",\"zoom\",\"bearing\",\"pitch\",\"around\"]);return this.jumpTo(i,r)}this.stop(),e=t.extend({offset:[0,0],speed:1.2,curve:1.42,easing:t.ease},e);var a=this.transform,o=this.getZoom(),s=this.getBearing(),l=this.getPitch(),c=this.getPadding(),u=\"zoom\"in e?t.clamp(+e.zoom,a.minZoom,a.maxZoom):o,f=\"bearing\"in e?this._normalizeBearing(e.bearing,s):s,h=\"pitch\"in e?+e.pitch:l,p=\"padding\"in e?e.padding:a.padding,d=a.zoomScale(u-o),g=t.Point.convert(e.offset),m=a.centerPoint.add(g),v=a.pointLocation(m),y=t.LngLat.convert(e.center||v);this._normalizeCenter(y);var x=a.project(v),b=a.project(y).sub(x),_=e.curve,w=Math.max(a.width,a.height),T=w/d,k=b.mag();if(\"minZoom\"in e){var A=t.clamp(Math.min(e.minZoom,o,u),a.minZoom,a.maxZoom),M=w/a.zoomScale(A-o);_=Math.sqrt(M/k*2)}var S=_*_;function E(t){var e=(T*T-w*w+(t?-1:1)*S*S*k*k)/(2*(t?T:w)*S*k);return Math.log(Math.sqrt(e*e+1)-e)}function L(t){return(Math.exp(t)-Math.exp(-t))/2}function C(t){return(Math.exp(t)+Math.exp(-t))/2}var P=E(0),I=function(t){return C(P)/C(P+_*t)},O=function(t){return w*((C(P)*(L(e=P+_*t)/C(e))-L(P))/S)/k;var e},z=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(z)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var D=T<w?-1:1;z=Math.abs(Math.log(T/w))/_,O=function(){return 0},I=function(t){return Math.exp(D*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*z/R}return e.maxDuration&&e.duration>e.maxDuration&&(e.duration=0),this._zooming=!0,this._rotating=s!==f,this._pitching=h!==l,this._padding=!a.isPaddingEqual(p),this._prepareEase(r,!1),this._ease((function(e){var i=e*z,d=1/I(i);a.zoom=1===e?u:o+a.scaleZoom(d),n._rotating&&(a.bearing=t.number(s,f,e)),n._pitching&&(a.pitch=t.number(l,h,e)),n._padding&&(a.interpolatePadding(c,p,e),m=a.centerPoint.add(g));var v=1===e?y:a.unproject(x.add(b.mult(O(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?v.wrap():v,m),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop()}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),bi=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};bi.prototype.getDefaultPosition=function(){return\"bottom-right\"},bi.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},bi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},bi.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\"}},bi.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},bi.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},bi.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var _i=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};_i.prototype.onAdd=function(t){this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl\");var e=r.create(\"a\",\"mapboxgl-ctrl-logo\");return e.target=\"_blank\",e.rel=\"noopener nofollow\",e.href=\"https://www.mapbox.com/\",e.setAttribute(\"aria-label\",this._map._getUIString(\"LogoControl.Title\")),e.setAttribute(\"rel\",\"noopener nofollow\"),this._container.appendChild(e),this._container.style.display=\"none\",this._map.on(\"sourcedata\",this._updateLogo),this._updateLogo(),this._map.on(\"resize\",this._updateCompact),this._updateCompact(),this._container},_i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},_i.prototype.getDefaultPosition=function(){return\"bottom-left\"},_i.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},_i.prototype._logoRequired=function(){if(this._map.style){var t=this._map.style.sourceCaches;for(var e in t){if(t[e].getSource().mapbox_logo)return!0}return!1}},_i.prototype._updateCompact=function(){var t=this._container.children;if(t.length){var e=t[0];this._map.getCanvasContainer().offsetWidth<250?e.classList.add(\"mapboxgl-compact\"):e.classList.remove(\"mapboxgl-compact\")}};var wi=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};wi.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},wi.prototype.remove=function(t){for(var e=this._currentlyRunning,r=0,n=e?this._queue.concat(e):this._queue;r<n.length;r+=1){var i=n[r];if(i.id===t)return void(i.cancelled=!0)}},wi.prototype.run=function(t){void 0===t&&(t=0);var e=this._currentlyRunning=this._queue;this._queue=[];for(var r=0,n=e;r<n.length;r+=1){var i=n[r];if(!i.cancelled&&(i.callback(t),this._cleared))break}this._cleared=!1,this._currentlyRunning=!1},wi.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Ti={\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},ki=t.window.HTMLImageElement,Ai=t.window.HTMLElement,Mi=t.window.ImageBitmap,Si={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:60,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Ei=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Si,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>60)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new An(e.minZoom,e.maxZoom,e.minPitch,e.maxPitch,e.renderWorldCopies);if(n.call(this,i,e),this._interactive=e.interactive,this._maxTileCacheSize=e.maxTileCacheSize,this._failIfMajorPerformanceCaveat=e.failIfMajorPerformanceCaveat,this._preserveDrawingBuffer=e.preserveDrawingBuffer,this._antialias=e.antialias,this._trackResize=e.trackResize,this._bearingSnap=e.bearingSnap,this._refreshExpiredTiles=e.refreshExpiredTiles,this._fadeDuration=e.fadeDuration,this._crossSourceCollisions=e.crossSourceCollisions,this._crossFadingFactor=1,this._collectResourceTiming=e.collectResourceTiming,this._renderTaskQueue=new wi,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Ti,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ai))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new yi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Sn(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new bi({customAttribution:e.customAttribution})),this.addControl(new _i,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?60:t)>60)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Rn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Rn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Rn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new qe(this,e||{}),this.style.setEventedParent(this,{style:this.style}),\"string\"==typeof t?this.style.loadURL(t):this.style.loadJSON(t),this):(delete this.style,this)},i.prototype._lazyInitEmptyStyle=function(){this.style||(this.style=new qe(this,{}),this.style.setEventedParent(this,{style:this.style}),this.style.loadEmpty())},i.prototype._diffStyle=function(e,r){var n=this;if(\"string\"==typeof e){var i=this._requestManager.normalizeStyleURL(e),a=this._requestManager.transformRequest(i,t.ResourceType.Style);t.getJSON(a,(function(e,i){e?n.fire(new t.ErrorEvent(e)):i&&n._updateDiff(i,r)}))}else\"object\"==typeof e&&this._updateDiff(e,r)},i.prototype._updateDiff=function(e,r){try{this.style.setState(e)&&this._update(!0)}catch(n){t.warnOnce(\"Unable to perform style diff: \"+(n.message||n.error||n)+\".  Rebuilding the style from scratch.\"),this._updateStyle(e,r)}},i.prototype.getStyle=function(){if(this.style)return this.style.serialize()},i.prototype.isStyleLoaded=function(){return this.style?this.style.loaded():t.warnOnce(\"There is no style added to the map.\")},i.prototype.addSource=function(t,e){return this._lazyInitEmptyStyle(),this.style.addSource(t,e),this._update(!0)},i.prototype.isSourceLoaded=function(e){var r=this.style&&this.style.sourceCaches[e];if(void 0!==r)return r.loaded();this.fire(new t.ErrorEvent(new Error(\"There is no source with ID '\"+e+\"'\")))},i.prototype.areTilesLoaded=function(){var t=this.style&&this.style.sourceCaches;for(var e in t){var r=t[e]._tiles;for(var n in r){var i=r[n];if(\"loaded\"!==i.state&&\"errored\"!==i.state)return!1}}return!0},i.prototype.addSourceType=function(t,e,r){return this._lazyInitEmptyStyle(),this.style.addSourceType(t,e,r)},i.prototype.removeSource=function(t){return this.style.removeSource(t),this._update(!0)},i.prototype.getSource=function(t){return this.style.getSource(t)},i.prototype.addImage=function(e,r,n){void 0===n&&(n={});var i=n.pixelRatio;void 0===i&&(i=1);var a=n.sdf;void 0===a&&(a=!1);var o=n.stretchX,s=n.stretchY,l=n.content;this._lazyInitEmptyStyle();if(r instanceof ki||Mi&&r instanceof Mi){var c=t.browser.getImageData(r),u=c.width,f=c.height,h=c.data;this.style.addImage(e,{data:new t.RGBAImage({width:u,height:f},h),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0})}else{if(void 0===r.width||void 0===r.height)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.addImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));var p=r.width,d=r.height,g=r.data,m=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(g)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:m}),m.onAdd&&m.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof ki||Mi&&r instanceof Mi?t.browser.getImageData(r):r,a=i.width,o=i.height,s=i.data;if(void 0===a||void 0===o)return this.fire(new t.ErrorEvent(new Error(\"Invalid arguments to map.updateImage(). The second argument must be an `HTMLImageElement`, `ImageData`, `ImageBitmap`, or object with `width`, `height`, and `data` properties with the same format as `ImageData`\")));if(a!==n.data.width||o!==n.data.height)return this.fire(new t.ErrorEvent(new Error(\"The width and height of the updated image must be that same as the previous version of the image\")));var l=!(r instanceof ki||Mi&&r instanceof Mi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new _n(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var c=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),u=c.crossFadingFactor();1===u&&u===this._crossFadingFactor||(o=!0,this._crossFadingFactor=u),this.style.update(c)}if(this.style&&this._sourcesDirty&&(this._sourcesDirty=!1,this.style._updateSources(this.transform)),this._placementDirty=this.style&&this.style._updatePlacement(this.painter.transform,this.showCollisionBoxes,this._fadeDuration,this._crossSourceCollisions),this.painter.render(this.style,{showTileBoundaries:this.showTileBoundaries,showOverdrawInspector:this._showOverdrawInspector,rotating:this.isRotating(),zooming:this.isZooming(),moving:this.isMoving(),fadeDuration:this._fadeDuration,showPadding:this.showPadding,gpuTiming:!!this.listens(\"gpu-timing-layer\")}),this.fire(new t.Event(\"render\")),this.loaded()&&!this._loaded&&(this._loaded=!0,this.fire(new t.Event(\"load\"))),this.style&&(this.style.hasTransitions()||o)&&(this._styleDirty=!0),this.style&&!this._placementDirty&&this.style._releaseSymbolFadeTiles(),this.listens(\"gpu-timing-frame\")){var f=t.browser.now()-i;a.endQueryEXT(a.TIME_ELAPSED_EXT,r),setTimeout((function(){var e=a.getQueryObjectEXT(r,a.QUERY_RESULT_EXT)/1e6;a.deleteQueryEXT(r),n.fire(new t.Event(\"gpu-timing-frame\",{cpuTime:f,gpuTime:e}))}),50)}if(this.listens(\"gpu-timing-layer\")){var h=this.painter.collectGpuTimers();setTimeout((function(){var e=n.painter.queryGpuTimers(h);n.fire(new t.Event(\"gpu-timing-layer\",{layerTimes:e}))}),50)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1){r[e].onRemove(this)}this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Li(this._canvasContainer),Li(this._controlContainer),Li(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(xi);function Li(t){t.parentNode&&t.parentNode.removeChild(t)}var Ci={showCompass:!0,showZoom:!0,visualizePitch:!1},Pi=function(e){var n=this;this.options=t.extend({},Ci,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};Pi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},Pi.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},Pi.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ii(this._map,this._compass,this.options.visualizePitch)),this._container},Pi.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},Pi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},Pi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ii=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Xn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Zn({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Oi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ii.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ii.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ii.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ii.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ii.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ii.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ii.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ii.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ii.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ii.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var zi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Di(t,e,r){var n=t.classList;for(var i in zi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Ri,Fi=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var c=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");c.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),c.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<f.length;u+=1){var h=f[u],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),c.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(g);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"opacity\",\"0.25\"),m.setAttributeNS(null,\"fill\",\"#000000\");var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),m.appendChild(v);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(c),l.appendChild(d),l.appendChild(m),l.appendChild(y),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Di(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=Math.sqrt(Math.pow(13.5,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[e,-1*(24.6+e)],\"bottom-right\":[-e,-1*(24.6+e)],left:[13.5,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,zi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Bi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Ni=0,ji=!1,Ui=function(e){function n(r){e.call(this),this.options=t.extend({},Bi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){var n;return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Ri?n(Ri):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Ri=\"denied\"!==t.state,n(Ri)})):(Ri=!!t.window.navigator.geolocation,n(Ri)),this._container},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Ni=0,ji=!1},n.prototype._isOutOfMapMaxBounds=function(t){var e=this._map.getMaxBounds(),r=t.coords;return e&&(r.longitude<e.getWest()||r.longitude>e.getEast()||r.latitude<e.getSouth()||r.latitude>e.getNorth())},n.prototype._setErrorState=function(){switch(this._watchState){case\"WAITING_ACTIVE\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"ACTIVE_LOCK\":this._watchState=\"ACTIVE_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\");break;case\"BACKGROUND\":this._watchState=\"BACKGROUND_ERROR\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\")}},n.prototype._onSuccess=function(e){if(this._map){if(this._isOutOfMapMaxBounds(e))return this._setErrorState(),this.fire(new t.Event(\"outofmaxbounds\",e)),this._updateMarker(),void this._finish();if(this.options.trackUserLocation)switch(this._lastKnownPosition=e,this._watchState){case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"BACKGROUND\":case\"BACKGROUND_ERROR\":this._watchState=\"BACKGROUND\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\")}this.options.showUserLocation&&\"OFF\"!==this._watchState&&this._updateMarker(e),this.options.trackUserLocation&&\"ACTIVE_LOCK\"!==this._watchState||this._updateCamera(e),this.options.showUserLocation&&this._dotElement.classList.remove(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"geolocate\",e)),this._finish()}},n.prototype._updateCamera=function(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude),n=e.coords.accuracy,i=this._map.getBearing(),a=t.extend({bearing:i},this.options.fitBoundsOptions);this._map.fitBounds(r.toBounds(n),a,{geolocateSource:!0})},n.prototype._updateMarker=function(e){if(e){var r=new t.LngLat(e.coords.longitude,e.coords.latitude);this._accuracyCircleMarker.setLngLat(r).addTo(this._map),this._userLocationDotMarker.setLngLat(r).addTo(this._map),this._accuracy=e.coords.accuracy,this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()}else this._userLocationDotMarker.remove(),this._accuracyCircleMarker.remove()},n.prototype._updateCircleRadius=function(){var t=this._map._container.clientHeight/2,e=this._map.unproject([0,t]),r=this._map.unproject([1,t]),n=e.distanceTo(r),i=Math.ceil(2*this._accuracy/n);this._circleElement.style.width=i+\"px\",this._circleElement.style.height=i+\"px\"},n.prototype._onZoom=function(){this.options.showUserLocation&&this.options.showAccuracyCircle&&this._updateCircleRadius()},n.prototype._onError=function(e){if(this._map){if(this.options.trackUserLocation)if(1===e.code){this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this._geolocateButton.disabled=!0;var r=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.title=r,this._geolocateButton.setAttribute(\"aria-label\",r),void 0!==this._geolocationWatchID&&this._clearWatch()}else{if(3===e.code&&ji)return;this._setErrorState()}\"OFF\"!==this._watchState&&this.options.showUserLocation&&this._dotElement.classList.add(\"mapboxgl-user-location-dot-stale\"),this.fire(new t.Event(\"error\",e)),this._finish()}},n.prototype._finish=function(){this._timeoutId&&clearTimeout(this._timeoutId),this._timeoutId=void 0},n.prototype._setupUI=function(e){var n=this;if(this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this._geolocateButton=r.create(\"button\",\"mapboxgl-ctrl-geolocate\",this._container),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._geolocateButton).setAttribute(\"aria-hidden\",!0),this._geolocateButton.type=\"button\",!1===e){t.warnOnce(\"Geolocation support is not available so the GeolocateControl will be disabled.\");var i=this._map._getUIString(\"GeolocateControl.LocationNotAvailable\");this._geolocateButton.disabled=!0,this._geolocateButton.title=i,this._geolocateButton.setAttribute(\"aria-label\",i)}else{var a=this._map._getUIString(\"GeolocateControl.FindMyLocation\");this._geolocateButton.title=a,this._geolocateButton.setAttribute(\"aria-label\",a)}this.options.trackUserLocation&&(this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this._watchState=\"OFF\"),this.options.showUserLocation&&(this._dotElement=r.create(\"div\",\"mapboxgl-user-location-dot\"),this._userLocationDotMarker=new Fi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Fi({element:this._circleElement,pitchAlignment:\"map\"}),this.options.trackUserLocation&&(this._watchState=\"OFF\"),this._map.on(\"zoom\",this._onZoom)),this._geolocateButton.addEventListener(\"click\",this.trigger.bind(this)),this._setup=!0,this.options.trackUserLocation&&this._map.on(\"movestart\",(function(e){var r=e.originalEvent&&\"resize\"===e.originalEvent.type;e.geolocateSource||\"ACTIVE_LOCK\"!==n._watchState||r||(n._watchState=\"BACKGROUND\",n._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\"),n._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),n.fire(new t.Event(\"trackuserlocationend\")))}))},n.prototype.trigger=function(){if(!this._setup)return t.warnOnce(\"Geolocate control triggered before added to a map\"),!1;if(this.options.trackUserLocation){switch(this._watchState){case\"OFF\":this._watchState=\"WAITING_ACTIVE\",this.fire(new t.Event(\"trackuserlocationstart\"));break;case\"WAITING_ACTIVE\":case\"ACTIVE_LOCK\":case\"ACTIVE_ERROR\":case\"BACKGROUND_ERROR\":Ni--,ji=!1,this._watchState=\"OFF\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-active-error\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background-error\"),this.fire(new t.Event(\"trackuserlocationend\"));break;case\"BACKGROUND\":this._watchState=\"ACTIVE_LOCK\",this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-background\"),this._lastKnownPosition&&this._updateCamera(this._lastKnownPosition),this.fire(new t.Event(\"trackuserlocationstart\"))}switch(this._watchState){case\"WAITING_ACTIVE\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_LOCK\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active\");break;case\"ACTIVE_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-active-error\");break;case\"BACKGROUND\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background\");break;case\"BACKGROUND_ERROR\":this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-background-error\")}if(\"OFF\"===this._watchState&&void 0!==this._geolocationWatchID)this._clearWatch();else if(void 0===this._geolocationWatchID){var e;this._geolocateButton.classList.add(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"true\"),++Ni>1?(e={maximumAge:6e5,timeout:0},ji=!0):(e=this.options.positionOptions,ji=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Vi={maxWidth:100,unit:\"metric\"},Hi=function(e){this.options=t.extend({},Vi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;if(l>5280)Gi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\"));else Gi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else if(r&&\"nautical\"===r.unit){Gi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\"))}else s>=1e3?Gi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Gi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Gi(t,e,r,n){var i,a,o,s=(i=r,a=Math.pow(10,(\"\"+Math.floor(i)).length-1),o=(o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o),a*o),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}Hi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Hi.prototype._onMove=function(){qi(this._map,this._container,this.options)},Hi.prototype.onAdd=function(t){return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-scale\",t.getContainer()),this._map.on(\"move\",this._onMove),this._onMove(),this._container},Hi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Hi.prototype.setUnit=function(t){this.options.unit=t,qi(this._map,this._container,this.options)};var Yi=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};Yi.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},Yi.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Yi.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},Yi.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Yi.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Yi.prototype._isFullscreen=function(){return this._fullscreen},Yi.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},Yi.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var Wi={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},Xi=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Wi),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(e){var n=this,i=this._lngLat||this._trackPointer;if(this._map&&i&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return n._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Oi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||e)){var a=this._pos=this._trackPointer&&e?e:this._map.project(this._lngLat),o=this.options.anchor,s=function e(r){if(r){if(\"number\"==typeof r){var n=Math.round(Math.sqrt(.5*Math.pow(r,2)));return{center:new t.Point(0,0),top:new t.Point(0,r),\"top-left\":new t.Point(n,n),\"top-right\":new t.Point(-n,n),bottom:new t.Point(0,-r),\"bottom-left\":new t.Point(n,-n),\"bottom-right\":new t.Point(-n,-n),left:new t.Point(r,0),right:new t.Point(-r,0)}}if(r instanceof t.Point||Array.isArray(r)){var i=t.Point.convert(r);return{center:i,top:i,\"top-left\":i,\"top-right\":i,bottom:i,\"bottom-left\":i,\"bottom-right\":i,left:i,right:i}}return{center:t.Point.convert(r.center||[0,0]),top:t.Point.convert(r.top||[0,0]),\"top-left\":t.Point.convert(r[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(r[\"top-right\"]||[0,0]),bottom:t.Point.convert(r.bottom||[0,0]),\"bottom-left\":t.Point.convert(r[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(r[\"bottom-right\"]||[0,0]),left:t.Point.convert(r.left||[0,0]),right:t.Point.convert(r.right||[0,0])}}return e(new t.Point(0,0))}(this.options.offset);if(!o){var l,c=this._container.offsetWidth,u=this._container.offsetHeight;l=a.y+s.bottom.y<u?[\"top\"]:a.y>this._map.transform.height-u?[\"bottom\"]:[],a.x<c/2?l.push(\"left\"):a.x>this._map.transform.width-c/2&&l.push(\"right\"),o=0===l.length?\"bottom\":l.join(\"-\")}var f=a.add(s[o]).round();r.setTransform(this._container,zi[o]+\" translate(\"+f.x+\"px,\"+f.y+\"px)\"),Di(this._container,o,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);var Zi={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Ei,NavigationControl:Pi,GeolocateControl:Ui,AttributionControl:bi,ScaleControl:Hi,FullscreenControl:Yi,Popup:Xi,Marker:Fi,Style:qe,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){Bt().acquire(zt)},clearPrewarmedResources:function(){var t=Rt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(zt),Rt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Dt.workerCount},set workerCount(t){Dt.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return Zi})),r}))},{}],240:[function(t,e,r){\"use strict\";e.exports=Math.log2||function(t){return Math.log(t)*Math.LOG2E}},{}],241:[function(t,e,r){\"use strict\";e.exports=function(t,e){e||(e=t,t=window);var r=0,i=0,a=0,o={shift:!1,alt:!1,control:!1,meta:!1},s=!1;function l(t){var e=!1;return\"altKey\"in t&&(e=e||t.altKey!==o.alt,o.alt=!!t.altKey),\"shiftKey\"in t&&(e=e||t.shiftKey!==o.shift,o.shift=!!t.shiftKey),\"ctrlKey\"in t&&(e=e||t.ctrlKey!==o.control,o.control=!!t.ctrlKey),\"metaKey\"in t&&(e=e||t.metaKey!==o.meta,o.meta=!!t.metaKey),e}function c(t,s){var c=n.x(s),u=n.y(s);\"buttons\"in s&&(t=0|s.buttons),(t!==r||c!==i||u!==a||l(s))&&(r=0|t,i=c||0,a=u||0,e&&e(r,i,a,o))}function u(t){c(0,t)}function f(){(r||i||a||o.shift||o.alt||o.meta||o.control)&&(i=a=0,r=0,o.shift=o.alt=o.control=o.meta=!1,e&&e(0,0,0,o))}function h(t){l(t)&&e&&e(r,i,a,o)}function p(t){0===n.buttons(t)?c(0,t):c(r,t)}function d(t){c(r|n.buttons(t),t)}function g(t){c(r&~n.buttons(t),t)}function m(){s||(s=!0,t.addEventListener(\"mousemove\",p),t.addEventListener(\"mousedown\",d),t.addEventListener(\"mouseup\",g),t.addEventListener(\"mouseleave\",u),t.addEventListener(\"mouseenter\",u),t.addEventListener(\"mouseout\",u),t.addEventListener(\"mouseover\",u),t.addEventListener(\"blur\",f),t.addEventListener(\"keyup\",h),t.addEventListener(\"keydown\",h),t.addEventListener(\"keypress\",h),t!==window&&(window.addEventListener(\"blur\",f),window.addEventListener(\"keyup\",h),window.addEventListener(\"keydown\",h),window.addEventListener(\"keypress\",h)))}m();var v={element:t};return Object.defineProperties(v,{enabled:{get:function(){return s},set:function(e){e?m():function(){if(!s)return;s=!1,t.removeEventListener(\"mousemove\",p),t.removeEventListener(\"mousedown\",d),t.removeEventListener(\"mouseup\",g),t.removeEventListener(\"mouseleave\",u),t.removeEventListener(\"mouseenter\",u),t.removeEventListener(\"mouseout\",u),t.removeEventListener(\"mouseover\",u),t.removeEventListener(\"blur\",f),t.removeEventListener(\"keyup\",h),t.removeEventListener(\"keydown\",h),t.removeEventListener(\"keypress\",h),t!==window&&(window.removeEventListener(\"blur\",f),window.removeEventListener(\"keyup\",h),window.removeEventListener(\"keydown\",h),window.removeEventListener(\"keypress\",h))}()},enumerable:!0},buttons:{get:function(){return r},enumerable:!0},x:{get:function(){return i},enumerable:!0},y:{get:function(){return a},enumerable:!0},mods:{get:function(){return o},enumerable:!0}}),v};var n=t(\"mouse-event\")},{\"mouse-event\":243}],242:[function(t,e,r){var n={left:0,top:0};e.exports=function(t,e,r){e=e||t.currentTarget||t.srcElement,Array.isArray(r)||(r=[0,0]);var i=t.clientX||0,a=t.clientY||0,o=(s=e,s===window||s===document||s===document.body?n:s.getBoundingClientRect());var s;return r[0]=i-o.left,r[1]=a-o.top,r}},{}],243:[function(t,e,r){\"use strict\";function n(t){return t.target||t.srcElement||window}r.buttons=function(t){if(\"object\"==typeof t){if(\"buttons\"in t)return t.buttons;if(\"which\"in t){if(2===(e=t.which))return 4;if(3===e)return 2;if(e>0)return 1<<e-1}else if(\"button\"in t){var e;if(1===(e=t.button))return 4;if(2===e)return 2;if(e>=0)return 1<<e}}return 0},r.element=n,r.x=function(t){if(\"object\"==typeof t){if(\"offsetX\"in t)return t.offsetX;var e=n(t).getBoundingClientRect();return t.clientX-e.left}return 0},r.y=function(t){if(\"object\"==typeof t){if(\"offsetY\"in t)return t.offsetY;var e=n(t).getBoundingClientRect();return t.clientY-e.top}return 0}},{}],244:[function(t,e,r){\"use strict\";var n=t(\"to-px\");e.exports=function(t,e,r){\"function\"==typeof t&&(r=!!e,e=t,t=window);var i=n(\"ex\",t),a=function(t){r&&t.preventDefault();var n=t.deltaX||0,a=t.deltaY||0,o=t.deltaZ||0,s=1;switch(t.deltaMode){case 1:s=i;break;case 2:s=window.innerHeight}if(a*=s,o*=s,(n*=s)||a||o)return e(n,a,o,t)};return t.addEventListener(\"wheel\",a),a}},{\"to-px\":314}],245:[function(t,e,r){(function(t,r){(function(){\n",
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       "/*\n",
       " * @copyright 2016 Sean Connelly (@voidqk), http://syntheti.cc\n",
       " * @license MIT\n",
       " * @preserve Project Home: https://github.com/voidqk/polybooljs\n",
       " */\n",
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r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var u=[];function f(t){var e=[c(t.region,!1)];u.push(e);for(var r=0;r<t.children.length;r++)e.push(h(t.children[r]))}function h(t){for(var e=0;e<t.children.length;e++)f(t.children[e]);return c(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return u.length<=0?{type:\"Polygon\",coordinates:[]}:1==u.length?{type:\"Polygon\",coordinates:u[0]}:{type:\"MultiPolygon\",coordinates:u}}};e.exports=n},{}],258:[function(t,e,r){var n=t(\"./linked-list\");e.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return function(t,r,n,i,a,o){var s=e.pointsCompare(r,a);return 0!==s?s:e.pointsSame(n,o)?0:t!==i?t?1:-1:e.pointAboveOrOnLine(n,i?a:o,i?o:a)?1:-1}(t.isStart,t.pt,r,n.isStart,n.pt,n.other.pt)<0}))}function s(t,e){var r=function(t,e){var r=n.node({isStart:!0,pt:t.start,seg:t,primary:e,other:null,status:null});return o(r,t.end),r}(t,e);return function(t,e,r){var i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function c(i,o){var s=n.create();function c(t){return s.findTransition((function(r){var n,i,a,o,s,l;return(n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function u(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,c=a.start,u=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,c,u);if(!1===f){if(!e.pointsCollinear(o,s,c))return!1;if(e.pointsSame(o,u)||e.pointsSame(s,c))return!1;var h=e.pointsSame(o,c),p=e.pointsSame(s,u);if(h&&p)return n;var d=!h&&e.pointBetween(o,c,u),g=!p&&e.pointBetween(s,c,u);if(h)return g?l(n,s):l(t,u),n;d&&(p||(g?l(n,s):l(t,u)),l(n,o))}else 0===f.alongA&&(-1===f.alongB?l(t,c):0===f.alongB?l(t,f.pt):1===f.alongB&&l(t,u)),0===f.alongB&&(-1===f.alongA?l(n,o):0===f.alongA?l(n,f.pt):1===f.alongA&&l(n,s));return!1}for(var f=[];!a.isEmpty();){var h=a.getHead();if(r&&r.vert(h.pt[0]),h.isStart){r&&r.segmentNew(h.seg,h.primary);var p=c(h),d=p.before?p.before.ev:null,g=p.after?p.after.ev:null;function m(){if(d){var t=u(h,d);if(t)return t}return!!g&&u(h,g)}r&&r.tempStatus(h.seg,!!d&&d.seg,!!g&&g.seg);var v,y=m();if(y){var x;if(t)(x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(y.seg.myFill.above=!y.seg.myFill.above);else y.seg.otherFill=h.seg.myFill;r&&r.segmentUpdate(y.seg),h.other.remove(),h.remove()}if(a.getHead()!==h){r&&r.rewind(h.seg);continue}if(t)x=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=g?g.seg.myFill.above:i,h.seg.myFill.above=x?!h.seg.myFill.below:h.seg.myFill.below;else if(null===h.seg.otherFill)v=g?h.primary===g.primary?g.seg.otherFill.above:g.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:v,below:v};r&&r.status(h.seg,!!d&&d.seg,!!g&&g.seg),h.other.status=p.insert(n.node({ev:h}))}else{var b=h.status;if(null===b)throw new Error(\"PolyBool: Zero-length segment detected; your epsilon is probably too small or too large\");if(s.exists(b.prev)&&s.exists(b.next)&&u(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var _=h.seg.myFill;h.seg.myFill=h.seg.otherFill,h.seg.otherFill=_}f.push(h.seg)}a.getHead().remove()}return r&&r.done(),f}return t?{addRegion:function(t){for(var n,i,a,o=t[t.length-1],l=0;l<t.length;l++){n=o,o=t[l];var c=e.pointsCompare(n,o);0!==c&&s((i=c<0?n:o,a=c<0?o:n,{id:r?r.segmentId():-1,start:i,end:a,myFill:{above:null,below:null},otherFill:null}),!0)}},calculate:function(t){return c(t,!1)}}:{calculate:function(t,e,r,n){return t.forEach((function(t){s(i(t.start,t.end,t),!0)})),r.forEach((function(t){s(i(t.start,t.end,t),!1)})),c(e,n)}}}},{\"./linked-list\":259}],259:[function(t,e,r){e.exports={create:function(){var t={root:{root:!0,next:null},exists:function(e){return null!==e&&e!==t.root},isEmpty:function(){return null===t.root.next},getHead:function(){return t.root.next},insertBefore:function(e,r){for(var n=t.root,i=t.root.next;null!==i;){if(r(i))return e.prev=i.prev,e.next=i,i.prev.next=e,void(i.prev=e);n=i,i=i.next}n.next=e,e.prev=n,e.next=null},findTransition:function(e){for(var r=t.root,n=t.root.next;null!==n&&!e(n);)r=n,n=n.next;return{before:r===t.root?null:r,after:n,insert:function(t){return t.prev=r,t.next=n,r.next=t,null!==n&&(n.prev=t),t}}}};return t},node:function(t){return t.prev=null,t.next=null,t.remove=function(){t.prev.next=t.next,t.next&&(t.next.prev=t.prev),t.prev=null,t.next=null},t}}},{}],260:[function(t,e,r){e.exports=function(t,e,r){var n=[],i=[];return t.forEach((function(t){var a=t.start,o=t.end;if(e.pointsSame(a,o))console.warn(\"PolyBool: Warning: Zero-length segment detected; your epsilon is probably too small or too large\");else{r&&r.chainStart(t);for(var s={index:0,matches_head:!1,matches_pt1:!1},l={index:0,matches_head:!1,matches_pt1:!1},c=s,u=0;u<n.length;u++){var f=(m=n[u])[0],h=(m[1],m[m.length-1]);m[m.length-2];if(e.pointsSame(f,a)){if(k(u,!0,!0))break}else if(e.pointsSame(f,o)){if(k(u,!0,!1))break}else if(e.pointsSame(h,a)){if(k(u,!1,!0))break}else if(e.pointsSame(h,o)&&k(u,!1,!1))break}if(c===s)return n.push([a,o]),void(r&&r.chainNew(a,o));if(c===l){r&&r.chainMatch(s.index);var p=s.index,d=s.matches_pt1?o:a,g=s.matches_head,m=n[p],v=g?m[0]:m[m.length-1],y=g?m[1]:m[m.length-2],x=g?m[m.length-1]:m[0],b=g?m[m.length-2]:m[1];return e.pointsCollinear(y,v,d)&&(g?(r&&r.chainRemoveHead(s.index,d),m.shift()):(r&&r.chainRemoveTail(s.index,d),m.pop()),v=y),e.pointsSame(x,d)?(n.splice(p,1),e.pointsCollinear(b,x,v)&&(g?(r&&r.chainRemoveTail(s.index,v),m.pop()):(r&&r.chainRemoveHead(s.index,v),m.shift())),r&&r.chainClose(s.index),void i.push(m)):void(g?(r&&r.chainAddHead(s.index,d),m.unshift(d)):(r&&r.chainAddTail(s.index,d),m.push(d)))}var _=s.index,w=l.index;r&&r.chainConnect(_,w);var T=n[_].length<n[w].length;s.matches_head?l.matches_head?T?(A(_),M(_,w)):(A(w),M(w,_)):M(w,_):l.matches_head?M(_,w):T?(A(_),M(w,_)):(A(w),M(_,w))}function k(t,e,r){return c.index=t,c.matches_head=e,c.matches_pt1=r,c===s?(c=l,!1):(c=null,!0)}function A(t){r&&r.chainReverse(t),n[t].reverse()}function M(t,i){var a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],c=o[0],u=o[1];e.pointsCollinear(l,s,c)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,c,u)&&(r&&r.chainRemoveHead(i,c),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},{}],261:[function(t,e,r){function n(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var i={union:function(t,e){return n(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],e)},intersect:function(t,e){return n(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],e)},difference:function(t,e){return n(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],e)},differenceRev:function(t,e){return n(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],e)},xor:function(t,e){return n(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],e)}};e.exports=i},{}],262:[function(t,e,r){\"use strict\";var n=t(\"stream\").Transform,i=t(\"stream-parser\");function a(){n.call(this,{readableObjectMode:!0})}function o(t,e,r){Error.call(this),Error.captureStackTrace?Error.captureStackTrace(this,this.constructor):this.stack=(new Error).stack||\"\",this.name=this.constructor.name,this.message=t,e&&(this.code=e),r&&(this.statusCode=r)}a.prototype=Object.create(n.prototype),a.prototype.constructor=a,i(a.prototype),r.ParserStream=a,r.sliceEq=function(t,e,r){for(var n=e,i=0;i<r.length;)if(t[n++]!==r[i++])return!1;return!0},r.str2arr=function(t,e){var r=[],n=0;if(e&&\"hex\"===e)for(;n<t.length;)r.push(parseInt(t.slice(n,n+2),16)),n+=2;else for(;n<t.length;n++)r.push(255&t.charCodeAt(n));return r},r.readUInt16LE=function(t,e){return t[e]|t[e+1]<<8},r.readUInt16BE=function(t,e){return t[e+1]|t[e]<<8},r.readUInt32LE=function(t,e){return t[e]|t[e+1]<<8|t[e+2]<<16|16777216*t[e+3]},r.readUInt32BE=function(t,e){return t[e+3]|t[e+2]<<8|t[e+1]<<16|16777216*t[e]},o.prototype=Object.create(Error.prototype),o.prototype.constructor=o,r.ProbeError=o},{stream:285,\"stream-parser\":301}],263:[function(t,e,r){\"use strict\";function n(t,e){var r=new Error(t);return r.code=e,r}function i(t){try{return decodeURIComponent(escape(t))}catch(e){return t}}function a(t,e,r){this.input=t.subarray(e,r),this.start=e;var i=String.fromCharCode.apply(null,this.input.subarray(0,4));if(\"II*\\0\"!==i&&\"MM\\0*\"!==i)throw n(\"invalid TIFF signature\",\"EBADDATA\");this.big_endian=\"M\"===i[0]}a.prototype.each=function(t){this.aborted=!1;var e=this.read_uint32(4);for(this.ifds_to_read=[{id:0,offset:e}];this.ifds_to_read.length>0&&!this.aborted;){var r=this.ifds_to_read.shift();r.offset&&this.scan_ifd(r.id,r.offset,t)}},a.prototype.read_uint16=function(t){var e=this.input;if(t+2>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?256*e[t]+e[t+1]:e[t]+256*e[t+1]},a.prototype.read_uint32=function(t){var e=this.input;if(t+4>e.length)throw n(\"unexpected EOF\",\"EBADDATA\");return this.big_endian?16777216*e[t]+65536*e[t+1]+256*e[t+2]+e[t+3]:e[t]+256*e[t+1]+65536*e[t+2]+16777216*e[t+3]},a.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},a.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},a.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return r=this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return r=this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return r=this.read_uint32(e);case 9:return 0|(r=this.read_uint32(e));case 5:case 10:case 11:case 12:case 7:default:return null}},a.prototype.scan_ifd=function(t,e,r){var a=this.read_uint16(e);e+=2;for(var o=0;o<a;o++){var s=this.read_uint16(e),l=this.read_uint16(e+2),c=this.read_uint32(e+4),u=this.exif_format_length(l),f=c*u,h=f<=4?e+8:this.read_uint32(e+8),p=!1;if(h+f>this.input.length)throw n(\"unexpected EOF\",\"EBADDATA\");for(var d=[],g=h,m=0;m<c;m++,g+=u){var v=this.exif_format_read(l,g);if(null===v){d=null;break}d.push(v)}if(Array.isArray(d)&&2===l&&(d=i(String.fromCharCode.apply(null,d)))&&\"\\0\"===d[d.length-1]&&(d=d.slice(0,-1)),this.is_subifd_link(t,s)&&Array.isArray(d)&&Number.isInteger(d[0])&&d[0]>0&&(this.ifds_to_read.push({id:s,offset:d[0]}),p=!0),!1===r({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:c,entry_offset:e+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);e+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(e)})},e.exports.ExifParser=a,e.exports.get_orientation=function(t){var e=0;try{return new a(t,0,t.length).each((function(t){if(0===t.ifd&&274===t.tag&&Array.isArray(t.value))return e=t.value[0],!1})),e}catch(t){return-1}}},{}],264:[function(t,e,r){\"use strict\";var n=t(\"./common\").readUInt16BE,i=t(\"./common\").readUInt32BE;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return t.length<r+e||r<8?null:{boxtype:String.fromCharCode.apply(null,t.slice(e+4,e+8)),data:t.slice(e+8,e+r),end:e+r}}function o(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;switch(n.boxtype){case\"ispe\":e.sizes.push({width:i(n.data,4),height:i(n.data,8)});break;case\"irot\":e.transforms.push({type:\"irot\",value:3&n.data[0]});break;case\"imir\":e.transforms.push({type:\"imir\",value:1&n.data[0]})}r=n.end}}function s(t,e,r){for(var n=0,i=0;i<r;i++)n=256*n+(t[e+i]||0);return n}function l(t,e){for(var r=t[4]>>4&15,i=15&t[4],a=t[5]>>4&15,o=n(t,6),l=8,c=0;c<o;c++){var u=n(t,l),f=n(t,l+=2),h=s(t,l+=2,a),p=n(t,l+=a);if(l+=2,0===f&&1===p){var d=s(t,l,r),g=s(t,l+r,i);e.item_loc[u]={length:g,offset:d+h}}l+=p*(r+i)}}function c(t,e){for(var r=n(t,4),i=6,o=0;o<r;o++){var s=a(t,i);if(!s)break;if(\"infe\"===s.boxtype){for(var l=n(s.data,4),c=\"\",u=8;u<s.data.length&&s.data[u];u++)c+=String.fromCharCode(s.data[u]);e.item_inf[c]=l}i=s.end}}function u(t,e){for(var r=0;;){var n=a(t,r);if(!n)break;\"ipco\"===n.boxtype&&o(n.data,e),r=n.end}}e.exports.unbox=a,e.exports.readSizeFromMeta=function(t){var e={sizes:[],transforms:[],item_inf:{},item_loc:{}};if(function(t,e){for(var r=4;;){var n=a(t,r);if(!n)break;\"iprp\"===n.boxtype&&u(n.data,e),\"iloc\"===n.boxtype&&l(n.data,e),\"iinf\"===n.boxtype&&c(n.data,e),r=n.end}}(t,e),e.sizes.length){var r,n,i,o=(r=e.sizes,n=r.reduce((function(t,e){return t.width>e.width||t.width===e.width&&t.height>e.height?t:e})),i=r.reduce((function(t,e){return t.height>e.height||t.height===e.height&&t.width>e.width?t:e})),n.width>i.height||n.width===i.height&&n.height>i.width?n:i),s=1;e.transforms.forEach((function(t){var e={1:6,2:5,3:8,4:7,5:4,6:3,7:2,8:1},r={1:4,2:3,3:2,4:1,5:6,6:5,7:8,8:7};if(\"imir\"===t.type&&(s=0===t.value?r[s]:e[s=e[s=r[s]]]),\"irot\"===t.type)for(var n=0;n<t.value;n++)s=e[s]}));var f=null;return e.item_inf.Exif&&(f=e.item_loc[e.item_inf.Exif]),{width:o.width,height:o.height,orientation:e.transforms.length?s:null,variants:e.sizes,exif_location:f}}},e.exports.getMimeType=function(t){var e=String.fromCharCode.apply(null,t.slice(0,4)),r={};r[e]=!0;for(var 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n=t(\"../common\").str2arr,i=t(\"../common\").sliceEq,a=t(\"../common\").readUInt32BE,o=n(\"8BPS\\0\\x01\");e.exports=function(t){if(!(t.length<22)&&i(t,0,o))return{width:a(t,18),height:a(t,14),type:\"psd\",mime:\"image/vnd.adobe.photoshop\",wUnits:\"px\",hUnits:\"px\"}}},{\"../common\":262}],272:[function(t,e,r){\"use strict\";function n(t){return\"number\"==typeof t&&isFinite(t)&&t>0}var i=/<[-_.:a-zA-Z0-9][^>]*>/,a=/^<([-_.:a-zA-Z0-9]+:)?svg\\s/,o=/[^-]\\bwidth=\"([^%]+?)\"|[^-]\\bwidth='([^%]+?)'/,s=/\\bheight=\"([^%]+?)\"|\\bheight='([^%]+?)'/,l=/\\bview[bB]ox=\"(.+?)\"|\\bview[bB]ox='(.+?)'/,c=/in$|mm$|cm$|pt$|pc$|px$|em$|ex$/;function u(t){return c.test(t)?t.match(c)[0]:\"px\"}e.exports=function(t){if(function(t){var e,r=0,n=t.length;for(239===t[0]&&187===t[1]&&191===t[2]&&(r=3);r<n&&(32===(e=t[r])||9===e||13===e||10===e);)r++;return r!==n&&60===t[r]}(t)){for(var e=\"\",r=0;r<t.length;r++)e+=String.fromCharCode(t[r]);var c=(e.match(i)||[\"\"])[0];if(a.test(c)){var 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h=[[1,0,0,1,0,0],[1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,-1,0,0],[-1,0,0,1,0,0],[1,0,0,1,0,0],[1,0,-1,0,0,1],[1,0,-1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,-1],[1,0,1,0,0,1],[1,0,-1,0,0,1],[-1,0,-1,0,0,1],[-1,0,-1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,-1],[-1,0,1,0,0,1],[-1,0,-1,0,0,1],[0,1,1,0,0,0],[0,1,-1,0,0,0],[0,-1,-1,0,0,0],[0,-1,-1,0,0,0],[0,1,1,0,0,0],[0,-1,1,0,0,0],[0,1,0,-1,1,0],[0,1,0,-1,-1,0],[0,1,0,1,-1,0],[0,1,0,1,1,0],[0,1,0,-1,1,0],[0,1,0,1,-1,0],[0,-1,0,-1,1,0],[0,-1,0,-1,-1,0],[0,-1,0,1,-1,0],[0,-1,0,1,1,0],[0,-1,0,-1,1,0],[0,-1,0,1,-1,0]]},{\"array-bounds\":71,\"color-normalize\":89,\"flatten-vertex-data\":191,\"object-assign\":247,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],280:[function(t,e,r){\"use strict\";var n=t(\"color-normalize\"),i=t(\"array-bounds\"),a=t(\"object-assign\"),o=t(\"glslify\"),s=t(\"pick-by-alias\"),l=t(\"flatten-vertex-data\"),c=t(\"earcut\"),u=t(\"array-normalize\"),f=t(\"to-float32\"),h=f.float32,p=f.fract32,d=t(\"es6-weak-map\"),g=t(\"parse-rect\"),m=t(\"array-find-index\");function v(t,e){if(!(this instanceof v))return new v(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=v.shaders.has(t)?v.shaders.get(t):v.shaders.set(t,v.createShaders(t)).get(t),this.update(e)}e.exports=v,v.dashMult=2,v.maxPatternLength=256,v.precisionThreshold=3e6,v.maxPoints=1e4,v.maxLines=2048,v.shaders=new d,v.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>v.precisionThreshold||e.scale[1]*e.viewport.height>v.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=v.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},v.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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C=y[2*S],P=y[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=y[2*M],P=y[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var I=Object.keys(A).map(Number).sort((function(t,e){return t-e})),O=[],z=0,D=null!=d.hole?d.hole[0]:null;if(null!=D){var R=m(I,(function(t){return t>=D}));(I=I.slice(0,R)).push(D)}for(var F=function(t){var e=k.slice(2*z,2*I[t]).concat(D?k.slice(2*D):[]),r=(d.hole||[]).map((function(e){return e-D+(I[t]-z)})),n=c(e,r);n=n.map((function(e){return e+z+(e+z<I[t]?0:D-I[t])})),O.push.apply(O,n),z=I[t]+1},B=0;B<I.length;B++)F(B);for(var N=0,j=O.length;N<j;N++)null!=A[O[N]]&&(O[N]=A[O[N]]);d.triangles=O}else{for(var U=c(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(y);u(q,2,T);var G=new 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*v.dashMult*.5;ot<st;++ot)$[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:$,width:$.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.count,ct=t.color;ct||(ct=\"transparent\");var ut=new Uint8Array(4*lt+4);if(Array.isArray(ct)&&\"number\"!=typeof ct[0]){for(var ft=0;ft<lt;ft++){var ht=n(ct[ft],\"uint8\");ut.set(ht,4*ft)}ut.set(n(ct[0],\"uint8\"),4*lt)}else for(var pt=n(ct,\"uint8\"),dt=0;dt<lt+1;dt++)ut.set(pt,4*dt);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ut})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var y=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&y.push(this.passes[x]);return this.passes=y,this}},v.prototype.destroy=function(){return 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o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return 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mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=f({},o);l.frag=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nuniform float opacity;\\n\\nfloat smoothStep(float edge0, float edge1, float x) {\\n\\tfloat t;\\n\\tt = clamp((x - edge0) / (edge1 - edge0), 0.0, 1.0);\\n\\treturn t * t * (3.0 - 2.0 * t);\\n}\\n\\nvoid main() {\\n\\tfloat radius, alpha = 1.0, delta = fragWidth;\\n\\n\\tradius = length(2.0 * gl_PointCoord.xy - 1.0);\\n\\n\\tif (radius > 1.0 + delta) {\\n\\t\\tdiscard;\\n\\t}\\n\\n\\talpha -= smoothstep(1.0 - delta, 1.0 + delta, radius);\\n\\n\\tfloat borderRadius = fragBorderRadius;\\n\\tfloat ratio = smoothstep(borderRadius - delta, borderRadius + delta, radius);\\n\\tvec4 color = mix(fragColor, fragBorderColor, ratio);\\n\\tcolor.a *= alpha * opacity;\\n\\tgl_FragColor = color;\\n}\\n\"]),l.vert=h([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),m&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}b.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},b.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},b.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},b.prototype.drawItem=function(t,e){var r=this.groups,n=r[t];if(\"number\"==typeof e&&(t=e,n=r[e],e=null),n&&n.count&&n.opacity){n.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,n,e));for(var a=[],o=1;o<n.activation.length;o++)n.activation[o]&&(!0===n.activation[o]||n.activation[o].data.length)&&a.push.apply(a,i(this.getMarkerDrawOptions(o,n,e)));a.length&&this.drawMarker(a)}},b.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,c=e.count;this.regl;if(!a)return r?[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[f({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var u=[],h=a.range(i,{lod:!0,px:[(i[2]-i[0])/o.width,(i[3]-i[1])/o.height]});if(r){for(var p=s[t].data,d=new Uint8Array(c),g=0;g<r.length;g++){var m=r[g];d[m]=p?p[m]:1}l.subdata(d)}for(var v=h.length;v--;){var y=n(h[v],2),x=y[0],b=y[1];u.push(f({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return u},b.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,s=this.maxSize,c=this.maxColors,h=this.palette;this.groups=i=r.map((function(e,r){var n=i[r];if(void 0===e)return n;null===e?e={positions:null}:\"function\"==typeof e?e={ondraw:e}:\"number\"==typeof e[0]&&(e={positions:e}),null===(e=p(e,{positions:\"positions data points\",snap:\"snap cluster lod tree\",size:\"sizes size radius\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",color:\"colors color fill fill-color fillColor\",borderColor:\"borderColors borderColor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range dataBox databox\",viewport:\"viewport viewPort viewBox viewbox\",opacity:\"opacity alpha transparency\",bounds:\"bound bounds boundaries limits\",tooManyColors:\"tooManyColors palette paletteMode optimizePalette enablePalette\"})).positions&&(e.positions=[]),null!=e.tooManyColors&&(t.tooManyColors=e.tooManyColors),n||(i[r]=n={id:r,scale:null,translate:null,scaleFract:null,translateFract:null,activation:[],selectionBuffer:o.buffer({data:new Uint8Array(0),usage:\"stream\",type:\"uint8\"}),sizeBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),colorBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"uint8\"}),positionBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"}),positionFractBuffer:o.buffer({data:new Uint8Array(0),usage:\"dynamic\",type:\"float\"})},e=f({},b.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,x=0;if(d(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=b.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=b.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=b.defaults.color),e=t.updateColor(e),x++,e},borderColor:function(e,r){return null==e&&(e=b.defaults.borderColor),e=t.updateColor(e),x++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,s=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=g(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?l(t,2):null;if(r.range||e.range||(delete e.range,r.range=f),r.marker||e.marker||(delete e.marker,r.marker=null),n&&(!0===n||c>n)?e.tree=u(t,{bounds:f}):n&&n.length&&(e.tree=n),e.tree){var h={primitive:\"points\",usage:\"static\",data:e.tree,type:\"uint32\"};e.elements?e.elements(h):e.elements=o.elements(h)}var p=v.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:v.fract32(t,p),usage:\"dynamic\"}),s({data:new Uint8Array(c),type:\"uint8\",usage:\"stream\"}),t}},{marker:function(e,r,n){var i=r.activation;if(i.forEach((function(t){return t&&t.destroy&&t.destroy()})),i.length=0,e&&\"number\"!=typeof e[0]){for(var a=[],s=0,l=Math.min(e.length,r.count);s<l;s++){var c=t.addMarker(e[s]);a[c]||(a[c]=new Uint8Array(r.count)),a[c][s]=1}for(var u=0;u<a.length;u++)if(a[u]){var f={data:a[u],type:\"uint8\",usage:\"static\"};i[u]?i[u](f):i[u]=o.buffer(f),i[u].data=a[u]}}else{i[t.addMarker(e)]=!0}return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=v.fract(e.scale),e.translateFract=v.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),m){var _=n,w=_.count,T=_.size,k=_.borderSize,A=_.sizeBuffer,M=new Uint8Array(2*w);if(T.length||k.length)for(var S=0;S<w;S++)M[2*S]=Math.round(255*(null==T[S]?T:T[S])/s),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/s);A({data:M,usage:\"dynamic\"})}if(x){var E,L=n,C=L.count,P=L.color,I=L.borderColor,O=L.colorBuffer;if(t.tooManyColors){if(P.length||I.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=h[4*D],E[8*z+1]=h[4*D+1],E[8*z+2]=h[4*D+2],E[8*z+3]=h[4*D+3];var R=I[z];E[8*z+4]=h[4*R],E[8*z+5]=h[4*R+1],E[8*z+6]=h[4*R+2],E[8*z+7]=h[4*R+3]}}}else if(P.length||I.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%c,E[4*F+1]=Math.floor(P[F]/c)),null!=I[F]&&(E[4*F+2]=I[F]%c,E[4*F+3]=Math.floor(I[F]/c))}O({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},b.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},b.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var o=0;o<t.length;o+=4)a.push(t.slice(o,o+4));else for(var l=0;l<t.length;l+=4)a.push(t.subarray(l,l+4));t=a}for(var u=0;u<t.length;u++){var f=t[u];f=s(f,\"uint8\");var h=c(f,!1);if(null==e[h]){var p=r.length;e[h]=Math.floor(p/4),r[p]=f[0],r[p+1]=f[1],r[p+2]=f[2],r[p+3]=f[3]}i[u]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},b.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},b.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var _=t(\"object-assign\");e.exports=function(t,e){var r=new x(t,e),n=r.render.bind(r);return _(n,{render:n,update:r.update.bind(r),draw:r.draw.bind(r),destroy:r.destroy.bind(r),regl:r.regl,gl:r.gl,canvas:r.gl.canvas,groups:r.groups,markers:r.markerCache,palette:r.palette}),n}},{\"@plotly/point-cluster\":59,\"array-bounds\":71,\"color-id\":87,\"color-normalize\":89,\"flatten-vertex-data\":191,glslify:227,\"is-iexplorer\":233,\"object-assign\":247,\"parse-rect\":249,\"pick-by-alias\":253,\"to-float32\":313,\"update-diff\":329}],282:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"pick-by-alias\"),a=t(\"array-bounds\"),o=t(\"raf\"),s=t(\"array-range\"),l=t(\"parse-rect\"),c=t(\"flatten-vertex-data\");function u(t,e){if(!(this instanceof u))return new u(t,e);this.traces=[],this.passes={},this.regl=t,this.scatter=n(t),this.canvas=this.scatter.canvas}function f(t,e,r){return(null!=t.id?t.id:t)<<16|(255&e)<<8|255&r}function h(t,e,r){var n,i,a,o,s=t[e],l=t[r];return s.length>2?(s[0],s[2],n=s[1],i=s[3]):s.length?(n=s[0],i=s[1]):(s.x,n=s.y,s.x+s.width,i=s.y+s.height),l.length>2?(a=l[0],o=l[2],l[1],l[3]):l.length?(a=l[0],o=l[1]):(a=l.x,l.y,o=l.x+l.width,l.y+l.height),[a,n,o,i]}function p(t){if(\"number\"==typeof t)return[t,t,t,t];if(2===t.length)return[t[0],t[1],t[0],t[1]];var e=l(t);return[e.x,e.y,e.x+e.width,e.y+e.height]}e.exports=u,u.prototype.render=function(){for(var t,e=this,r=[],n=arguments.length;n--;)r[n]=arguments[n];return r.length&&(t=this).update.apply(t,r),this.regl.attributes.preserveDrawingBuffer?this.draw():(this.dirty?null==this.planned&&(this.planned=o((function(){e.draw(),e.dirty=!0,e.planned=null}))):(this.draw(),this.dirty=!0,o((function(){e.dirty=!1}))),this)},u.prototype.update=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=0;n<e.length;n++)this.updateItem(n,e[n]);this.traces=this.traces.filter(Boolean);for(var i=[],a=0,o=0;o<this.traces.length;o++){for(var s=this.traces[o],l=this.traces[o].passes,c=0;c<l.length;c++)i.push(this.passes[l[c]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},u.prototype.updateItem=function(t,e){var r=this.regl;if(null===e)return this.traces[t]=null,this;if(!e)return this;var n,o=i(e,{data:\"data items columns rows values dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency opaque\",borderSize:\"borderSizes borderSize border-size bordersize borderWidth borderWidths border-width borderwidth stroke-width strokeWidth strokewidth outline\",borderColor:\"borderColors borderColor bordercolor stroke stroke-color strokeColor\",marker:\"markers marker shape\",range:\"range ranges databox dataBox\",viewport:\"viewport viewBox viewbox\",domain:\"domain domains area areas\",padding:\"pad padding paddings pads margin margins\",transpose:\"transpose transposed\",diagonal:\"diagonal diag showDiagonal\",upper:\"upper up top upperhalf upperHalf showupperhalf showUpper showUpperHalf\",lower:\"lower low bottom lowerhalf lowerHalf showlowerhalf showLowerHalf showLower\"}),s=this.traces[t]||(this.traces[t]={id:t,buffer:r.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array}),color:\"black\",marker:null,size:12,borderColor:\"transparent\",borderSize:1,viewport:l([r._gl.drawingBufferWidth,r._gl.drawingBufferHeight]),padding:[0,0,0,0],opacity:1,diagonal:!0,upper:!0,lower:!0});if(null!=o.color&&(s.color=o.color),null!=o.size&&(s.size=o.size),null!=o.marker&&(s.marker=o.marker),null!=o.borderColor&&(s.borderColor=o.borderColor),null!=o.borderSize&&(s.borderSize=o.borderSize),null!=o.opacity&&(s.opacity=o.opacity),o.viewport&&(s.viewport=l(o.viewport)),null!=o.diagonal&&(s.diagonal=o.diagonal),null!=o.upper&&(s.upper=o.upper),null!=o.lower&&(s.lower=o.lower),o.data){s.buffer(c(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var u=0;u<s.columns;u++)s.bounds[u]=a(o.data[u],1)}o.range&&(s.range=o.range,n=s.range&&\"number\"!=typeof s.range[0]),o.domain&&(s.domain=o.domain);var d=!1;null!=o.padding&&(Array.isArray(o.padding)&&o.padding.length===s.columns&&\"number\"==typeof o.padding[o.padding.length-1]?(s.padding=o.padding.map(p),d=!0):s.padding=p(o.padding));var g=s.columns,m=s.count,v=s.viewport.width,y=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=v/g,w=y/g;s.passes=[];for(var T=0;T<g;T++)for(var k=0;k<g;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:m,stride:g},y:{buffer:s.buffer,offset:T,count:m,stride:g}}:M.positions={x:{buffer:s.buffer,offset:k*m,count:m},y:{buffer:s.buffer,offset:T*m,count:m}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],I=E[3];M.viewport=[x+L*v+S[0],b+C*y+S[1],x+P*v-S[2],b+I*y-S[3]]}else M.viewport=[x+k*_+_*S[0],b+T*w+w*S[1],x+(k+1)*_-_*S[2],b+(T+1)*w-w*S[3]]}o.color&&(M.color=s.color),o.size&&(M.size=s.size),o.marker&&(M.marker=s.marker),o.borderSize&&(M.borderSize=s.borderSize),o.borderColor&&(M.borderColor=s.borderColor),o.opacity&&(M.opacity=s.opacity),o.range&&(M.range=n?h(s.range,T,k):s.range||M.bounds),s.passes.push(A)}return this},u.prototype.draw=function(){for(var t,e=[],r=arguments.length;r--;)e[r]=arguments[r];if(e.length){for(var n=[],i=0;i<e.length;i++)if(\"number\"==typeof e[i]){var a=this.traces[e[i]],o=a.passes,l=a.passOffset;n.push.apply(n,s(l,l+o.length))}else if(e[i].length){var c=e[i],u=this.traces[i],f=u.passes,h=u.passOffset;f=f.map((function(t,e){n[h+e]=c}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},u.prototype.destroy=function(){return 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return(t=e.year()+(e.year()<0?1:0))%4==3||t%4==-1},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),13},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),400},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/8)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]},daysInWeek:function(){return 8},dayOfWeek:function(t,e,r){return(this._validate(t,e,r,n.local.invalidDate).day()+1)%8},weekDay:function(t,e,r){var n=this.dayOfWeek(t,e,r);return n>=2&&n<=6},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{century:o[Math.floor((i.year()-1)/100)+1]||\"\"}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year()+(i.year()<0?1:0),e=i.month(),(r=i.day())+(e>1?16:0)+(e>2?32*(e-2):0)+400*(t-1)+this.jdEpoch-1},fromJD:function(t){t=Math.floor(t+.5)-Math.floor(this.jdEpoch)-1;var e=Math.floor(t/400)+1;t-=400*(e-1),t+=t>15?16:0;var r=Math.floor(t/32)+1,n=t-32*(r-1)+1;return this.newDate(e<=0?e-1:e,r,n)}});var o={20:\"Fruitbat\",21:\"Anchovy\"};n.calendars.discworld=a},{\"../main\":346,\"object-assign\":247}],335:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Hebrew\",jdEpoch:347995.5,daysPerMonth:[30,29,30,29,30,29,30,29,30,29,30,29,29],hasYearZero:!1,minMonth:1,firstMonth:7,minDay:1,regionalOptions:{\"\":{name:\"Hebrew\",epochs:[\"BAM\",\"AM\"],monthNames:[\"Nisan\",\"Iyar\",\"Sivan\",\"Tammuz\",\"Av\",\"Elul\",\"Tishrei\",\"Cheshvan\",\"Kislev\",\"Tevet\",\"Shevat\",\"Adar\",\"Adar II\"],monthNamesShort:[\"Nis\",\"Iya\",\"Siv\",\"Tam\",\"Av\",\"Elu\",\"Tis\",\"Che\",\"Kis\",\"Tev\",\"She\",\"Ada\",\"Ad2\"],dayNames:[\"Yom Rishon\",\"Yom Sheni\",\"Yom Shlishi\",\"Yom Revi'i\",\"Yom Chamishi\",\"Yom Shishi\",\"Yom Shabbat\"],dayNamesShort:[\"Ris\",\"She\",\"Shl\",\"Rev\",\"Cha\",\"Shi\",\"Sha\"],dayNamesMin:[\"Ri\",\"She\",\"Shl\",\"Re\",\"Ch\",\"Shi\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return this._leapYear(e.year())},_leapYear:function(t){return o(7*(t=t<0?t+1:t)+1,19)<7},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),this._leapYear(t.year?t.year():t)?13:12},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){return t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),this.toJD(-1===t?1:t+1,7,1)-this.toJD(t,7,1)},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),12===e&&this.leapYear(t)||8===e&&5===o(this.daysInYear(t),10)?30:9===e&&3===o(this.daysInYear(t),10)?29:this.daysPerMonth[e-1]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return{yearType:(this.leapYear(i)?\"embolismic\":\"common\")+\" \"+[\"deficient\",\"regular\",\"complete\"][this.daysInYear(i)%10-3]}},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t<=0?t+1:t,o=this.jdEpoch+this._delay1(a)+this._delay2(a)+r+1;if(e<7){for(var s=7;s<=this.monthsInYear(t);s++)o+=this.daysInMonth(t,s);for(s=1;s<e;s++)o+=this.daysInMonth(t,s)}else for(s=7;s<e;s++)o+=this.daysInMonth(t,s);return o},_delay1:function(t){var e=Math.floor((235*t-234)/19),r=12084+13753*e,n=29*e+Math.floor(r/25920);return o(3*(n+1),7)<3&&n++,n},_delay2:function(t){var e=this._delay1(t-1),r=this._delay1(t);return this._delay1(t+1)-r==356?2:r-e==382?1:0},fromJD:function(t){t=Math.floor(t)+.5;for(var e=Math.floor(98496*(t-this.jdEpoch)/35975351)-1;t>=this.toJD(-1===e?1:e+1,7,1);)e++;for(var r=t<this.toJD(e,1,1)?7:1;t>this.toJD(e,r,this.daysInMonth(e,r));)r++;var n=t-this.toJD(e,r,1)+1;return 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=i.year(),e=i.month(),r=i.day(),t<0&&t++,e<=2&&(t--,e+=12),Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r-1524.5},fromJD:function(t){var e=Math.floor(t+.5)+1524,r=Math.floor((e-122.1)/365.25),n=Math.floor(365.25*r),i=Math.floor((e-n)/30.6001),a=i-Math.floor(i<14?1:13),o=r-Math.floor(a>2?4716:4715),s=e-n-Math.floor(30.6001*i);return o<=0&&o--,this.newDate(o,a,s)}}),n.calendars.julian=a},{\"../main\":346,\"object-assign\":247}],339:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),!0},extraInfo:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate).toJD(),a=this._toHaab(i),o=this._toTzolkin(i);return{haabMonthName:this.local.haabMonths[a[0]-1],haabMonth:a[0],haabDay:a[1],tzolkinDayName:this.local.tzolkinMonths[o[0]-1],tzolkinDay:o[0],tzolkinTrecena:o[1]}},_toHaab:function(t){var e=o((t-=this.jdEpoch)+8+340,365);return[Math.floor(e/20)+1,o(e,20)]},_toTzolkin:function(t){return[s((t-=this.jdEpoch)+20,20),s(t+4,13)]},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return i.day()+20*i.month()+360*i.year()+this.jdEpoch},fromJD:function(t){t=Math.floor(t)+.5-this.jdEpoch;var e=Math.floor(t/360);t%=360,t+=t<0?360:0;var r=Math.floor(t/20),n=t%20;return this.newDate(e,r,n)}}),n.calendars.mayan=a},{\"../main\":346,\"object-assign\":247}],340:[function(t,e,r){var n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return 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9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(c)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(c,1,1).add(o,\"d\").toJD()},fromJD:function(t){var e=n.instance().fromJD(t),r=e.year(),i=e.dayOfYear(),a=r+56;this._createMissingCalendarData(a);for(var o=9,s=this.NEPALI_CALENDAR_DATA[a][0],l=this.NEPALI_CALENDAR_DATA[a][o]-s+1;i>l;)++o>12&&(o=1,a++),l+=this.NEPALI_CALENDAR_DATA[a][o];var c=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,c)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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n=t(\"../main\"),i=t(\"object-assign\");function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"UmmAlQura\",hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Umm al-Qura\",epochs:[\"BH\",\"AH\"],monthNames:[\"Al-Muharram\",\"Safar\",\"Rabi' al-awwal\",\"Rabi' Al-Thani\",\"Jumada Al-Awwal\",\"Jumada Al-Thani\",\"Rajab\",\"Sha'aban\",\"Ramadan\",\"Shawwal\",\"Dhu al-Qi'dah\",\"Dhu al-Hijjah\"],monthNamesShort:[\"Muh\",\"Saf\",\"Rab1\",\"Rab2\",\"Jum1\",\"Jum2\",\"Raj\",\"Sha'\",\"Ram\",\"Shaw\",\"DhuQ\",\"DhuH\"],dayNames:[\"Yawm al-Ahad\",\"Yawm al-Ithnain\",\"Yawm al-Thal\\u0101th\\u0101\\u2019\",\"Yawm al-Arba\\u2018\\u0101\\u2019\",\"Yawm al-Kham\\u012bs\",\"Yawm al-Jum\\u2018a\",\"Yawm al-Sabt\"],dayNamesMin:[\"Ah\",\"Ith\",\"Th\",\"Ar\",\"Kh\",\"Ju\",\"Sa\"],digits:null,dateFormat:\"yyyy/mm/dd\",firstDay:6,isRTL:!0}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 355===this.daysInYear(e.year())},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){for(var e=0,r=1;r<=12;r++)e+=this.daysInMonth(t,r);return e},daysInMonth:function(t,e){for(var r=this._validate(t,e,this.minDay,n.local.invalidMonth).toJD()-24e5+.5,i=0,a=0;a<o.length;a++){if(o[a]>r)return o[i]-o[i-1];i++}return 30},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate),a=12*(i.year()-1)+i.month()-15292;return i.day()+o[a-1]-1+24e5-.5},fromJD:function(t){for(var e=t-24e5+.5,r=0,n=0;n<o.length&&!(o[n]>e);n++)r++;var i=r+15292,a=Math.floor((i-1)/12),s=a+1,l=i-12*a,c=e-o[r-1]+1;return this.newDate(s,l,c)},isValid:function(t,e,r){var i=n.baseCalendar.prototype.isValid.apply(this,arguments);return 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n=t(\"object-assign\");function i(){this.regionalOptions=[],this.regionalOptions[\"\"]={invalidCalendar:\"Calendar {0} not found\",invalidDate:\"Invalid {0} date\",invalidMonth:\"Invalid {0} month\",invalidYear:\"Invalid {0} year\",differentCalendars:\"Cannot mix {0} and {1} dates\"},this.local=this.regionalOptions[\"\"],this.calendars={},this._localCals={}}function a(t,e,r,n){if(this._calendar=t,this._year=e,this._month=r,this._day=n,0===this._calendar._validateLevel&&!this._calendar.isValid(this._year,this._month,this._day))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name)}function o(t,e){return\"000000\".substring(0,e-(t=\"\"+t).length)+t}function s(){this.shortYearCutoff=\"+10\"}function l(t){this.local=this.regionalOptions[t]||this.regionalOptions[\"\"]}n(i.prototype,{instance:function(t,e){t=(t||\"gregorian\").toLowerCase(),e=e||\"\";var r=this._localCals[t+\"-\"+e];if(!r&&this.calendars[t]&&(r=new this.calendars[t](e),this._localCals[t+\"-\"+e]=r),!r)throw(this.local.invalidCalendar||this.regionalOptions[\"\"].invalidCalendar).replace(/\\{0\\}/,t);return r},newDate:function(t,e,r,n,i){return(n=(null!=t&&t.year?t.calendar():\"string\"==typeof n?this.instance(n,i):n)||this.instance()).newDate(t,e,r)},substituteDigits:function(t){return function(e){return(e+\"\").replace(/[0-9]/g,(function(e){return t[e]}))}},substituteChineseDigits:function(t,e){return function(r){for(var n=\"\",i=0;r>0;){var a=r%10;n=(0===a?\"\":t[a]+e[i])+n,i++,r=Math.floor(r/10)}return 0===n.indexOf(t[1]+e[1])&&(n=n.substr(1)),n||t[0]}}}),n(a.prototype,{newDate:function(t,e,r){return this._calendar.newDate(null==t?this:t,e,r)},year:function(t){return 0===arguments.length?this._year:this.set(t,\"y\")},month:function(t){return 0===arguments.length?this._month:this.set(t,\"m\")},day:function(t){return 0===arguments.length?this._day:this.set(t,\"d\")},date:function(t,e,r){if(!this._calendar.isValid(t,e,r))throw(c.local.invalidDate||c.regionalOptions[\"\"].invalidDate).replace(/\\{0\\}/,this._calendar.local.name);return this._year=t,this._month=e,this._day=r,this},leapYear:function(){return this._calendar.leapYear(this)},epoch:function(){return this._calendar.epoch(this)},formatYear:function(){return this._calendar.formatYear(this)},monthOfYear:function(){return this._calendar.monthOfYear(this)},weekOfYear:function(){return this._calendar.weekOfYear(this)},daysInYear:function(){return this._calendar.daysInYear(this)},dayOfYear:function(){return this._calendar.dayOfYear(this)},daysInMonth:function(){return this._calendar.daysInMonth(this)},dayOfWeek:function(){return this._calendar.dayOfWeek(this)},weekDay:function(){return this._calendar.weekDay(this)},extraInfo:function(){return this._calendar.extraInfo(this)},add:function(t,e){return this._calendar.add(this,t,e)},set:function(t,e){return this._calendar.set(this,t,e)},compareTo:function(t){if(this._calendar.name!==t._calendar.name)throw(c.local.differentCalendars||c.regionalOptions[\"\"].differentCalendars).replace(/\\{0\\}/,this._calendar.local.name).replace(/\\{1\\}/,t._calendar.local.name);var e=this._year!==t._year?this._year-t._year:this._month!==t._month?this.monthOfYear()-t.monthOfYear():this._day-t._day;return 0===e?0:e<0?-1:1},calendar:function(){return this._calendar},toJD:function(){return this._calendar.toJD(this)},fromJD:function(t){return this._calendar.fromJD(t)},toJSDate:function(){return this._calendar.toJSDate(this)},fromJSDate:function(t){return this._calendar.fromJSDate(t)},toString:function(){return(this.year()<0?\"-\":\"\")+o(Math.abs(this.year()),4)+\"-\"+o(this.month(),2)+\"-\"+o(this.day(),2)}}),n(s.prototype,{_validateLevel:0,newDate:function(t,e,r){return null==t?this.today():(t.year&&(this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),r=t.day(),e=t.month(),t=t.year()),new a(this,t,e,r))},today:function(){return this.fromJSDate(new Date)},epoch:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth);return(r.month()+this.monthsInYear(r)-this.firstMonth)%this.monthsInYear(r)+this.minMonth},fromMonthOfYear:function(t,e){var r=(e+this.firstMonth-2*this.minMonth)%this.monthsInYear(t)+this.minMonth;return this._validate(t,r,this.minDay,c.local.invalidMonth||c.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,c.local.invalidYear||c.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return n.toJD()-this.newDate(n.year(),this.fromMonthOfYear(n.year(),this.minMonth),this.minDay).toJD()+1},daysInWeek:function(){return 7},dayOfWeek:function(t,e,r){var n=this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,c.local.invalidDate||c.regionalOptions[\"\"].invalidDate),this._correctAdd(t,this._add(t,e,r),e,r)},_add:function(t,e,r){if(this._validateLevel++,\"d\"===r||\"w\"===r){var n=t.toJD()+e*(\"w\"===r?this.daysInWeek():1),i=t.calendar().fromJD(n);return this._validateLevel--,[i.year(),i.month(),i.day()]}try{var a=t.year()+(\"y\"===r?e:0),o=t.monthOfYear()+(\"m\"===r?e:0);i=t.day();\"y\"===r?(t.month()!==this.fromMonthOfYear(a,o)&&(o=this.newDate(a,t.month(),this.minDay).monthOfYear()),o=Math.min(o,this.monthsInYear(a)),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o)))):\"m\"===r&&(!function(t){for(;o<t.minMonth;)a--,o+=t.monthsInYear(a);for(var e=t.monthsInYear(a);o>e-1+t.minMonth;)a++,o-=e,e=t.monthsInYear(a)}(this),i=Math.min(i,this.daysInMonth(a,this.fromMonthOfYear(a,o))));var s=[a,this.fromMonthOfYear(a,o),i];return this._validateLevel--,s}catch(t){throw 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r,s,l=o(t,e),c=l.on,u=l.off.concat(l.explicitOff),f={},h=t._fullLayout.annotations;if(!c.length&&!u.length)return;for(r=0;r<c.length;r++)(s=a(t.layout,\"annotations\",h[c[r]])).modifyItem(\"visible\",!0),n.extendFlat(f,s.getUpdateObj());for(r=0;r<u.length;r++)(s=a(t.layout,\"annotations\",h[u[r]])).modifyItem(\"visible\",!1),n.extendFlat(f,s.getUpdateObj());return i.call(\"update\",t,{},f)}}},{\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../../registry\":638}],352:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../color\");e.exports=function(t,e,r,a){a(\"opacity\");var o=a(\"bgcolor\"),s=a(\"bordercolor\"),l=i.opacity(s);a(\"borderpad\");var c=a(\"borderwidth\"),u=a(\"showarrow\");if(a(\"text\",u?\" \":r._dfltTitle.annotation),a(\"textangle\"),n.coerceFont(a,\"font\",r.font),a(\"width\"),a(\"align\"),a(\"height\")&&a(\"valign\"),u){var f,h,p=a(\"arrowside\");-1!==p.indexOf(\"end\")&&(f=a(\"arrowhead\"),h=a(\"arrowsize\")),-1!==p.indexOf(\"start\")&&(a(\"startarrowhead\",f),a(\"startarrowsize\",h)),a(\"arrowcolor\",l?e.bordercolor:i.defaultLine),a(\"arrowwidth\",2*(l&&c||1)),a(\"standoff\"),a(\"startstandoff\")}var d=a(\"hovertext\"),g=r.hoverlabel||{};if(d){var m=a(\"hoverlabel.bgcolor\",g.bgcolor||(i.opacity(o)?i.rgb(o):i.defaultLine)),v=a(\"hoverlabel.bordercolor\",g.bordercolor||i.contrast(m));n.coerceFont(a,\"hoverlabel.font\",{family:g.font.family,size:g.font.size,color:g.font.color||v})}a(\"captureevents\",!!d)}},{\"../../lib\":503,\"../color\":366}],353:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib/to_log_range\");e.exports=function(t,e,r,a){e=e||{};var o=\"log\"===r&&\"linear\"===e.type,s=\"linear\"===r&&\"log\"===e.type;if(o||s)for(var l,c,u=t._fullLayout.annotations,f=e._id.charAt(0),h=0;h<u.length;h++)l=u[h],c=\"annotations[\"+h+\"].\",l[f+\"ref\"]===e._id&&p(f),l[\"a\"+f+\"ref\"]===e._id&&p(\"a\"+f);function p(t){var r=l[t],s=null;s=o?i(r,e.range):Math.pow(10,r),n(s)||(s=null),a(c+t,s)}}},{\"../../lib/to_log_range\":531,\"fast-isnumeric\":190}],354:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../plots/cartesian/axes\"),a=t(\"../../plots/array_container_defaults\"),o=t(\"./common_defaults\"),s=t(\"./attributes\");function l(t,e,r){function a(r,i){return n.coerce(t,e,s,r,i)}var l=a(\"visible\"),c=a(\"clicktoshow\");if(l||c){o(t,e,r,a);for(var u=e.showarrow,f=[\"x\",\"y\"],h=[-10,-30],p={_fullLayout:r},d=0;d<2;d++){var g=f[d],m=i.coerceRef(t,e,p,g,\"\",\"paper\");if(\"paper\"!==m)i.getFromId(p,m)._annIndices.push(e._index);if(i.coercePosition(e,p,a,m,g,.5),u){var v=\"a\"+g,y=i.coerceRef(t,e,p,v,\"pixel\",[\"pixel\",\"paper\"]);\"pixel\"!==y&&y!==m&&(y=e[v]=\"pixel\");var x=\"pixel\"===y?h[d]:.4;i.coercePosition(e,p,a,y,v,x)}a(g+\"anchor\"),a(g+\"shift\")}if(n.noneOrAll(t,e,[\"x\",\"y\"]),u&&n.noneOrAll(t,e,[\"ax\",\"ay\"]),c){var b=a(\"xclick\"),_=a(\"yclick\");e._xclick=void 0===b?e.x:i.cleanPosition(b,p,e.xref),e._yclick=void 0===_?e.y:i.cleanPosition(_,p,e.yref)}}}e.exports=function(t,e){a(t,e,{name:\"annotations\",handleItemDefaults:l})}},{\"../../lib\":503,\"../../plots/array_container_defaults\":549,\"../../plots/cartesian/axes\":554,\"./attributes\":349,\"./common_defaults\":352}],355:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../registry\"),a=t(\"../../plots/plots\"),o=t(\"../../lib\"),s=o.strTranslate,l=t(\"../../plots/cartesian/axes\"),c=t(\"../color\"),u=t(\"../drawing\"),f=t(\"../fx\"),h=t(\"../../lib/svg_text_utils\"),p=t(\"../../lib/setcursor\"),d=t(\"../dragelement\"),g=t(\"../../plot_api/plot_template\").arrayEditor,m=t(\"./draw_arrow_head\");function v(t,e){var r=t._fullLayout.annotations[e]||{},n=l.getFromId(t,r.xref),i=l.getFromId(t,r.yref);n&&n.setScale(),i&&i.setScale(),x(t,r,e,!1,n,i)}function y(t,e,r,n,i){var a=i[r],o=i[r+\"ref\"],s=-1!==r.indexOf(\"y\"),c=\"domain\"===l.getRefType(o),u=s?n.h:n.w;return t?c?a+(s?-e:e)/t._length:t.p2r(t.r2p(a)+e):a+(s?-e:e)/u}function x(t,e,r,a,v,x){var b,_,w=t._fullLayout,T=t._fullLayout._size,k=t._context.edits;a?(b=\"annotation-\"+a,_=a+\".annotations\"):(b=\"annotation\",_=\"annotations\");var A=g(t.layout,_,e),M=A.modifyBase,S=A.modifyItem,E=A.getUpdateObj;w._infolayer.selectAll(\".\"+b+'[data-index=\"'+r+'\"]').remove();var L=\"clip\"+w._uid+\"_ann\"+r;if(e._input&&!1!==e.visible){var C={x:{},y:{}},P=+e.textangle||0,I=w._infolayer.append(\"g\").classed(b,!0).attr(\"data-index\",String(r)).style(\"opacity\",e.opacity),O=I.append(\"g\").classed(\"annotation-text-g\",!0),z=k[e.showarrow?\"annotationTail\":\"annotationPosition\"],D=e.captureevents||k.annotationText||z,R=O.append(\"g\").style(\"pointer-events\",D?\"all\":null).call(p,\"pointer\").on(\"click\",(function(){t._dragging=!1,t.emit(\"plotly_clickannotation\",Y(n.event))}));e.hovertext&&R.on(\"mouseover\",(function(){var r=e.hoverlabel,n=r.font,i=this.getBoundingClientRect(),a=t.getBoundingClientRect();f.loneHover({x0:i.left-a.left,x1:i.right-a.left,y:(i.top+i.bottom)/2-a.top,text:e.hovertext,color:r.bgcolor,borderColor:r.bordercolor,fontFamily:n.family,fontSize:n.size,fontColor:n.color},{container:w._hoverlayer.node(),outerContainer:w._paper.node(),gd:t})})).on(\"mouseout\",(function(){f.loneUnhover(w._hoverlayer.node())}));var F=e.borderwidth,B=e.borderpad,N=F+B,j=R.append(\"rect\").attr(\"class\",\"bg\").style(\"stroke-width\",F+\"px\").call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor),U=e.width||e.height,V=w._topclips.selectAll(\"#\"+L).data(U?[0]:[]);V.enter().append(\"clipPath\").classed(\"annclip\",!0).attr(\"id\",L).append(\"rect\"),V.exit().remove();var H=e.font,q=w._meta?o.templateString(e.text,w._meta):e.text,G=R.append(\"text\").classed(\"annotation-text\",!0).text(q);k.annotationText?G.call(h.makeEditable,{delegate:R,gd:t}).call(W).on(\"edit\",(function(r){e.text=r,this.call(W),S(\"text\",r),v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0),i.call(\"_guiRelayout\",t,E())})):G.call(W)}else n.selectAll(\"#\"+L).remove();function Y(t){var n={index:r,annotation:e._input,fullAnnotation:e,event:t};return a&&(n.subplotId=a),n}function W(r){return r.call(u.font,H).attr({\"text-anchor\":{left:\"start\",right:\"end\"}[e.align]||\"middle\"}),h.convertToTspans(r,t,X),r}function X(){var r=G.selectAll(\"a\");1===r.size()&&r.text()===G.text()&&R.insert(\"a\",\":first-child\").attr({\"xlink:xlink:href\":r.attr(\"xlink:href\"),\"xlink:xlink:show\":r.attr(\"xlink:show\")}).style({cursor:\"pointer\"}).node().appendChild(j.node());var n=R.select(\".annotation-text-math-group\"),f=!n.empty(),g=u.bBox((f?n:G).node()),b=g.width,_=g.height,A=e.width||b,D=e.height||_,B=Math.round(A+2*N),H=Math.round(D+2*N);function q(t,e){return\"auto\"===e&&(e=t<1/3?\"left\":t>2/3?\"right\":\"center\"),{center:0,middle:0,left:.5,bottom:-.5,right:-.5,top:.5}[e]}for(var W=!1,X=[\"x\",\"y\"],Z=0;Z<X.length;Z++){var J,K,Q,$,tt,et=X[Z],rt=e[et+\"ref\"]||et,nt=e[\"a\"+et+\"ref\"],it={x:v,y:x}[et],at=(P+(\"x\"===et?0:-90))*Math.PI/180,ot=B*Math.cos(at),st=H*Math.sin(at),lt=Math.abs(ot)+Math.abs(st),ct=e[et+\"anchor\"],ut=e[et+\"shift\"]*(\"x\"===et?1:-1),ft=C[et],ht=l.getRefType(rt);if(it&&\"domain\"!==ht){var pt=it.r2fraction(e[et]);(pt<0||pt>1)&&(nt===rt?((pt=it.r2fraction(e[\"a\"+et]))<0||pt>1)&&(W=!0):W=!0),J=it._offset+it.r2p(e[et]),$=.5}else{var dt=\"domain\"===ht;\"x\"===et?(Q=e[et],J=dt?it._offset+it._length*Q:J=T.l+T.w*Q):(Q=1-e[et],J=dt?it._offset+it._length*Q:J=T.t+T.h*Q),$=e.showarrow?.5:Q}if(e.showarrow){ft.head=J;var gt=e[\"a\"+et];if(tt=ot*q(.5,e.xanchor)-st*q(.5,e.yanchor),nt===rt){var mt=l.getRefType(nt);\"domain\"===mt?(\"y\"===et&&(gt=1-gt),ft.tail=it._offset+it._length*gt):\"paper\"===mt?\"y\"===et?(gt=1-gt,ft.tail=T.t+T.h*gt):ft.tail=T.l+T.w*gt:ft.tail=it._offset+it.r2p(gt),K=tt}else ft.tail=J+gt,K=tt+gt;ft.text=ft.tail+tt;var vt=w[\"x\"===et?\"width\":\"height\"];if(\"paper\"===rt&&(ft.head=o.constrain(ft.head,1,vt-1)),\"pixel\"===nt){var yt=-Math.max(ft.tail-3,ft.text),xt=Math.min(ft.tail+3,ft.text)-vt;yt>0?(ft.tail+=yt,ft.text+=yt):xt>0&&(ft.tail-=xt,ft.text-=xt)}ft.tail+=ut,ft.head+=ut}else K=tt=lt*q($,ct),ft.text=J+tt;ft.text+=ut,tt+=ut,K+=ut,e[\"_\"+et+\"padplus\"]=lt/2+K,e[\"_\"+et+\"padminus\"]=lt/2-K,e[\"_\"+et+\"size\"]=lt,e[\"_\"+et+\"shift\"]=tt}if(W)R.remove();else{var bt=0,_t=0;if(\"left\"!==e.align&&(bt=(A-b)*(\"center\"===e.align?.5:1)),\"top\"!==e.valign&&(_t=(D-_)*(\"middle\"===e.valign?.5:1)),f)n.select(\"svg\").attr({x:N+bt-1,y:N+_t}).call(u.setClipUrl,U?L:null,t);else{var wt=N+_t-g.top,Tt=N+bt-g.left;G.call(h.positionText,Tt,wt).call(u.setClipUrl,U?L:null,t)}V.select(\"rect\").call(u.setRect,N,N,A,D),j.call(u.setRect,F/2,F/2,B-F,H-F),R.call(u.setTranslate,Math.round(C.x.text-B/2),Math.round(C.y.text-H/2)),O.attr({transform:\"rotate(\"+P+\",\"+C.x.text+\",\"+C.y.text+\")\"});var kt,At=function(r,n){I.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,g=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,g,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),z=+j.attr(\"height\"),D=g-.5*L,F=D+L,B=b-.5*z,N=B+z,U=[[D,B,D,N],[D,N,F,N],[F,N,F,B],[F,B,D,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=I.append(\"g\").style({opacity:c.opacity(H)}).classed(\"annotation-arrow-g\",!0),Y=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(c.stroke,c.rgb(H));if(m(Y,q,e),k.annotationPosition&&Y.node().parentNode&&!a){var W=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));W+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var J,K,Q=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-W)+\",\"+(p-X),transform:s(W,X)}).style(\"stroke-width\",V+6+\"px\").call(c.stroke,\"rgba(0,0,0,0)\").call(c.fill,\"rgba(0,0,0,0)\");d.init({element:Q.node(),gd:t,prepFn:function(){var t=u.getTranslate(R);J=t.x,K=t.y,v&&v.autorange&&M(v._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(J,K),i=n[0]+t,a=n[1]+r;R.call(u.setTranslate,i,a),S(\"x\",y(v,t,\"x\",T,e)),S(\"y\",y(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",y(v,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",y(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),O.attr({transform:\"rotate(\"+P+\",\"+i+\",\"+a+\")\"})},doneFn:function(){i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}};if(e.showarrow&&At(0,0),z)d.init({element:R.node(),gd:t,prepFn:function(){kt=O.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",y(v,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",y(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(v)i=y(v,t,\"x\",T,e);else{var l=e._xsize/T.w,c=e.x+(e._xshift-e.xshift)/T.w-l/2;i=d.align(c+t/T.w,l,0,1,e.xanchor)}if(x)o=y(x,r,\"y\",T,e);else{var u=e._ysize/T.h,f=e.y-(e._yshift+e.yshift)/T.h-u/2;o=d.align(f-r/T.h,u,0,1,e.yanchor)}S(\"x\",i),S(\"y\",o),v&&x||(n=d.getCursor(v?.5:i,x?.5:o,e.xanchor,e.yanchor))}O.attr({transform:s(t,r)+kt}),p(R,n)},clickFn:function(r,n){e.captureevents&&t.emit(\"plotly_clickannotation\",Y(n))},doneFn:function(){p(R),i.call(\"_guiRelayout\",t,E());var e=document.querySelector(\".js-notes-box-panel\");e&&e.redraw(e.selectedObj)}})}}}e.exports={draw:function(t){var e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&v(t,r);return a.previousPromises(t)},drawOne:v,drawRaw:x}},{\"../../lib\":503,\"../../lib/setcursor\":524,\"../../lib/svg_text_utils\":529,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/axes\":554,\"../../plots/plots\":619,\"../../registry\":638,\"../color\":366,\"../dragelement\":385,\"../drawing\":388,\"../fx\":406,\"./draw_arrow_head\":356,\"@plotly/d3\":58}],356:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../color\"),a=t(\"./arrow_paths\"),o=t(\"../../lib\"),s=o.strScale,l=o.strRotate,c=o.strTranslate;e.exports=function(t,e,r){var o,u,f,h,p=t.node(),d=a[r.arrowhead||0],g=a[r.startarrowhead||0],m=(r.arrowwidth||1)*(r.arrowsize||1),v=(r.arrowwidth||1)*(r.startarrowsize||1),y=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*m+r.standoff,_=g.backoff*v+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},u={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-u.x,T=o.y-u.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void z();if(b){if(b*b>w*w+T*T)return void z();var k=b*Math.cos(f),A=b*Math.sin(f);u.x+=k,u.y+=A,t.attr({x2:u.x,y2:u.y})}if(_){if(_*_>w*w+T*T)return void z();var M=_*Math.cos(f),S=_*Math.sin(f);o.x-=M,o.y-=S,t.attr({x1:o.x,y1:o.y})}}else if(\"path\"===p.nodeName){var E=p.getTotalLength(),L=\"\";if(E<b+_)return void z();var C=p.getPointAtLength(0),P=p.getPointAtLength(.1);f=Math.atan2(C.y-P.y,C.x-P.x),o=p.getPointAtLength(Math.min(_,E)),L=\"0px,\"+_+\"px,\";var 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n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../plots/cartesian/axes\"),l=t(\"../dragelement\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../lib/extend\").extendFlat,h=t(\"../../lib/setcursor\"),p=t(\"../drawing\"),d=t(\"../color\"),g=t(\"../titles\"),m=t(\"../../lib/svg_text_utils\"),v=t(\"../colorscale/helpers\").flipScale,y=t(\"../../plots/cartesian/axis_defaults\"),x=t(\"../../plots/cartesian/position_defaults\"),b=t(\"../../plots/cartesian/layout_attributes\"),_=t(\"../../constants/alignment\"),w=_.LINE_SPACING,T=_.FROM_TL,k=_.FROM_BR,A=t(\"./constants\").cn;e.exports={draw:function(t){var e=t._fullLayout._infolayer.selectAll(\"g.\"+A.colorbar).data(function(t){var e,r,n,i,a=t._fullLayout,o=t.calcdata,s=[];function l(t){return f(t,{_fillcolor:null,_line:{color:null,width:null,dash:null},_levels:{start:null,end:null,size:null},_filllevels:null,_fillgradient:null,_zrange:null})}function c(){\"function\"==typeof 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r=n.select(this);c.ensureSingle(r,\"rect\",A.cbbg),c.ensureSingle(r,\"g\",A.cbfills),c.ensureSingle(r,\"g\",A.cblines),c.ensureSingle(r,\"g\",A.cbaxis,(function(t){t.classed(A.crisp,!0)})),c.ensureSingle(r,\"g\",A.cbtitleunshift,(function(t){t.append(\"g\").classed(A.cbtitle,!0)})),c.ensureSingle(r,\"rect\",A.cboutline);var v=function(t,e,r){var o=\"v\"===e.orientation,l=e.len,h=e.lenmode,v=e.thickness,_=e.thicknessmode,M=e.outlinewidth,S=e.borderwidth,E=e.bgcolor,L=e.xanchor,C=e.yanchor,P=e.xpad,I=e.ypad,O=e.x,z=o?e.y:1-e.y,D=r._fullLayout,R=D._size,F=e._fillcolor,B=e._line,N=e.title,j=N.side,U=e._zrange||n.extent((\"function\"==typeof F?F:B.color).domain()),V=\"function\"==typeof B.color?B.color:function(){return B.color},H=\"function\"==typeof F?F:function(){return F},q=e._levels,G=function(t,e,r){var n,i,a=e._levels,o=[],s=[],l=a.end+a.size/100,c=a.size,u=1.001*r[0]-.001*r[1],f=1.001*r[1]-.001*r[0];for(i=0;i<1e5&&(n=a.start+i*c,!(c>0?n>=l:n<=l));i++)n>u&&n<f&&o.push(n);if(e._fillgradient)s=[0];else if(\"function\"==typeof e._fillcolor){var h=e._filllevels;if(h)for(l=h.end+h.size/100,c=h.size,i=0;i<1e5&&(n=h.start+i*c,!(c>0?n>=l:n<=l));i++)n>r[0]&&n<r[1]&&s.push(n);else(s=o.map((function(t){return t-a.size/2}))).push(s[s.length-1]+a.size)}else e._fillcolor&&\"string\"==typeof e._fillcolor&&(s=[0]);a.size<0&&(o.reverse(),s.reverse());return{line:o,fill:s}}(0,e,U),Y=G.fill,W=G.line,X=Math.round(v*(\"fraction\"===_?o?R.w:R.h:1)),Z=X/(o?R.w:R.h),J=Math.round(l*(\"fraction\"===h?o?R.h:R.w:1)),K=J/(o?R.h:R.w),Q=Math.round(o?O*R.w+P:z*R.h+I),$={center:.5,right:1}[L]||0,tt={top:1,middle:.5}[C]||0,et=o?O-$*Z:z-tt*Z,rt=o?z-tt*K:O-$*K,nt=Math.round(o?R.h*(1-rt):R.w*rt);e._lenFrac=K,e._thickFrac=Z,e._uFrac=et,e._vFrac=rt;var it=e._axis=function(t,e,r){var n=t._fullLayout,i=\"v\"===e.orientation,a={type:\"linear\",range:r,tickmode:e.tickmode,nticks:e.nticks,tick0:e.tick0,dtick:e.dtick,tickvals:e.tickvals,ticktext:e.ticktext,ticks:e.ticks,ticklen:e.ticklen,tickwidth:e.tickwidth,tickcolor:e.tickcolor,showticklabels:e.showticklabels,ticklabelposition:e.ticklabelposition,ticklabeloverflow:e.ticklabeloverflow,ticklabelstep:e.ticklabelstep,tickfont:e.tickfont,tickangle:e.tickangle,tickformat:e.tickformat,exponentformat:e.exponentformat,minexponent:e.minexponent,separatethousands:e.separatethousands,showexponent:e.showexponent,showtickprefix:e.showtickprefix,tickprefix:e.tickprefix,showticksuffix:e.showticksuffix,ticksuffix:e.ticksuffix,title:e.title,showline:!0,anchor:\"free\",side:i?\"right\":\"bottom\",position:1},o=i?\"y\":\"x\",s={type:\"linear\",_id:o+e._id},l={letter:o,font:n.font,noHover:!0,noTickson:!0,noTicklabelmode:!0,calendar:n.calendar};function u(t,e){return c.coerce(a,s,b,t,e)}return y(a,s,u,l,n),x(a,s,u,l),s}(r,e,U);it.position=Z+(o?O+P/R.w:z+I/R.h);var at=-1!==[\"top\",\"bottom\"].indexOf(j);o&&at&&(it.title.side=j,it.titlex=O+P/R.w,it.titley=rt+(\"top\"===N.side?K-I/R.h:I/R.h));o||at||(it.title.side=j,it.titley=z+I/R.h,it.titlex=rt+P/R.w);if(B.color&&\"auto\"===e.tickmode){it.tickmode=\"linear\",it.tick0=q.start;var ot=q.size,st=c.constrain(J/50,4,15)+1,lt=(U[1]-U[0])/((e.nticks||st)*ot);if(lt>1){var ct=Math.pow(10,Math.floor(Math.log(lt)/Math.LN10));ot*=ct*c.roundUp(lt/ct,[2,5,10]),(Math.abs(q.start)/q.size+1e-6)%1<2e-6&&(it.tick0=0)}it.dtick=ot}it.domain=o?[rt+I/R.h,rt+K-I/R.h]:[rt+P/R.w,rt+K-P/R.w],it.setScale(),t.attr(\"transform\",u(Math.round(R.l),Math.round(R.t)));var ut,ft=t.select(\".\"+A.cbtitleunshift).attr(\"transform\",u(-Math.round(R.l),-Math.round(R.t))),ht=it.ticklabelposition,pt=it.title.font.size,dt=t.select(\".\"+A.cbaxis),gt=0,mt=0;function vt(n,i){var a={propContainer:it,propName:e._propPrefix+\"title\",traceIndex:e._traceIndex,_meta:e._meta,placeholder:D._dfltTitle.colorbar,containerGroup:t.select(\".\"+A.cbtitle)},o=\"h\"===n.charAt(0)?n.substr(1):\"h\"+n;t.selectAll(\".\"+o+\",.\"+o+\"-math-group\").remove(),g.draw(r,n,f(a,i||{}))}return c.syncOrAsync([a.previousPromises,function(){var t,e;(o&&at||!o&&!at)&&(\"top\"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt-K)+3+.75*pt),\"bottom\"===j&&(t=P+R.l+R.w*O,e=I+R.t+R.h*(1-rt)-3-.25*pt),\"right\"===j&&(e=I+R.t+R.h*z+3+.75*pt,t=P+R.l+R.w*rt),vt(it._id+\"title\",{attributes:{x:t,y:e,\"text-anchor\":o?\"start\":\"middle\"}}))},function(){if(!o&&!at||o&&at){var a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+it._id+\"title-math-group\").node(),g=15.6;if(f.node()&&(g=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),mt=a.width,(gt=a.height)>g&&(h[1]-=(gt-g)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),mt=a.width,gt=a.height),o){if(gt){if(gt+=5,\"top\"===j)it.domain[1]-=gt/R.h,h[1]*=-1;else{it.domain[0]+=gt/R.h;var v=m.lineCount(f);h[1]+=(1-v)*g}l.attr(\"transform\",u(h[0],h[1])),it.setScale()}}else mt&&(\"right\"===j&&(it.domain[0]+=(mt+pt/2)/R.w),l.attr(\"transform\",u(h[0],h[1])),it.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?u(0,Math.round(R.h*(1-it.domain[1]))):u(Math.round(R.w*it.domain[0]),0)),dt.attr(\"transform\",o?u(0,Math.round(-R.t)):u(Math.round(-R.l),0));var y=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(Y);y.enter().append(\"rect\").classed(A.cbfill,!0).style(\"stroke\",\"none\"),y.exit().remove();var x=U.map(it.c2p).map(Math.round).sort((function(t,e){return t-e}));y.each((function(t,a){var s=[0===a?U[0]:(Y[a]+Y[a-1])/2,a===Y.length-1?U[1]:(Y[a]+Y[a+1])/2].map(it.c2p).map(Math.round);o&&(s[1]=c.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",Q).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max(X,2)).attr(o?\"height\":\"width\",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?\"vertical\":\"horizontalreversed\",e._fillgradient,\"fill\");else{var u=H(t).replace(\"e-\",\"\");l.attr(\"fill\",i(u).toHexString())}}));var b=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(B.color&&B.width?W:[]);b.enter().append(\"path\").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=Q,r=Math.round(it.c2p(t))+B.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+X).call(p.lineGroupStyle,B.width,V(t),B.dash)})),dt.selectAll(\"g.\"+it._id+\"tick,path\").remove();var _=Q+X+(M||0)/2-(\"outside\"===e.ticks?1:0),T=s.calcTicks(it),k=s.getTickSigns(it)[2];return s.drawTicks(r,it,{vals:\"inside\"===it.ticks?s.clipEnds(it,T):T,layer:dt,path:s.makeTickPath(it,_,k),transFn:s.makeTransTickFn(it)}),s.drawLabels(r,it,{vals:T,layer:dt,transFn:s.makeTransTickLabelFn(it),labelFns:s.makeLabelFns(it,_)})},function(){if(o&&!at||!o&&at){var t,i,a=it.position||0,s=it._offset+it._length/2;if(\"right\"===j)i=s,t=R.l+R.w*a+10+pt*(it.showticklabels?1:.5);else if(t=s,\"bottom\"===j&&(i=R.t+R.h*a+10+(-1===ht.indexOf(\"inside\")?it.tickfont.size:0)+(\"intside\"!==it.ticks&&e.ticklen||0)),\"top\"===j){var l=N.text.split(\"<br>\").length;i=R.t+R.h*a+10-X-w*pt*l}vt((o?\"h\":\"v\")+it._id+\"title\",{avoid:{selection:n.select(r).selectAll(\"g.\"+it._id+\"tick\"),side:j,offsetTop:o?0:R.t,offsetLeft:o?R.l:0,maxShift:o?D.width:D.height},attributes:{x:t,y:i,\"text-anchor\":\"middle\"},transform:{rotate:o?-90:0,offset:0}})}},a.previousPromises,function(){var n,s=X+M/2;-1===ht.indexOf(\"inside\")&&(n=p.bBox(dt.node()),s+=o?n.width:n.height),ut=ft.select(\"text\");var c=0,f=o&&\"top\"===j,g=!o&&\"right\"===j,m=0;if(ut.node()&&!ut.classed(A.jsPlaceholder)){var y,x=ft.select(\".h\"+it._id+\"title-math-group\").node();x&&(o&&at||!o&&!at)?(c=(n=p.bBox(x)).width,y=n.height):(c=(n=p.bBox(ft.node())).right-R.l-(o?Q:nt),y=n.bottom-R.t-(o?nt:Q),o||\"top\"!==j||(s+=n.height,m=n.height)),g&&(ut.attr(\"transform\",u(c/2+pt/2,0)),c*=2),s=Math.max(s,o?c:y)}var b=2*(o?P:I)+s+S+M/2,w=0;!o&&N.text&&\"bottom\"===C&&z<=0&&(b+=w=b/2,m+=w),D._hColorbarMoveTitle=w,D._hColorbarMoveCBTitle=m;var F=S+M;t.select(\".\"+A.cbbg).attr(\"x\",(o?Q:nt)-F/2-(o?P:0)).attr(\"y\",(o?nt:Q)-(o?J:I+m-w)).attr(o?\"width\":\"height\",Math.max(b-w,2)).attr(o?\"height\":\"width\",Math.max(J+F,2)).call(d.fill,E).call(d.stroke,e.bordercolor).style(\"stroke-width\",S);var B=g?Math.max(c-10,0):0;if(t.selectAll(\".\"+A.cboutline).attr(\"x\",(o?Q:nt+P)+B).attr(\"y\",(o?nt+I-J:Q)+(f?gt:0)).attr(o?\"width\":\"height\",Math.max(X,2)).attr(o?\"height\":\"width\",Math.max(J-(o?2*I+gt:2*P+B),2)).call(d.stroke,e.outlinecolor).style({fill:\"none\",\"stroke-width\":M}),t.attr(\"transform\",u(R.l-(o?$*b:0),R.t-(o?0:(1-tt)*b-m))),!o&&(S||i(E).getAlpha()&&!i.equals(D.paper_bgcolor,E))){var U=dt.selectAll(\"text\"),V=U[0].length,H=t.select(\".\"+A.cbbg).node(),q=p.bBox(H),G=p.getTranslate(t);U.each((function(t,e){var r=V-1;if(0===e||e===r){var n,i=p.bBox(this),a=p.getTranslate(this);if(e===r){var o=i.right+a.x;(n=q.right+G.x+nt-S-2+O-o)>0&&(n=0)}else if(0===e){var s=i.left+a.x;(n=q.left+G.x+nt+S+2-s)<0&&(n=0)}n&&(V<3?this.setAttribute(\"transform\",\"translate(\"+n+\",0) \"+this.getAttribute(\"transform\")):this.setAttribute(\"visibility\",\"hidden\"))}}))}var Y={},W=T[L],Z=k[L],K=T[C],et=k[C],rt=b-X;o?(\"pixels\"===h?(Y.y=z,Y.t=J*K,Y.b=J*et):(Y.t=Y.b=0,Y.yt=z+l*K,Y.yb=z-l*et),\"pixels\"===_?(Y.x=O,Y.l=b*W,Y.r=b*Z):(Y.l=rt*W,Y.r=rt*Z,Y.xl=O-v*W,Y.xr=O+v*Z)):(\"pixels\"===h?(Y.x=O,Y.l=J*W,Y.r=J*Z):(Y.l=Y.r=0,Y.xl=O+l*W,Y.xr=O-l*Z),\"pixels\"===_?(Y.y=1-z,Y.t=b*K,Y.b=b*et):(Y.t=rt*K,Y.b=rt*et,Y.yt=z-v*K,Y.yb=z+v*et)),a.autoMargin(r,e._id,Y)}],r)}(r,e,t);v&&v.then&&(t._promises||[]).push(v),t._context.edits.colorbarPosition&&function(t,e,r){var n,i,a,s=\"v\"===e.orientation,c=r._fullLayout._size;l.init({element:t.node(),gd:r,prepFn:function(){n=t.attr(\"transform\"),h(t)},moveFn:function(r,o){t.attr(\"transform\",n+u(r,o)),i=l.align((s?e._uFrac:e._vFrac)+r/c.w,s?e._thickFrac:e._lenFrac,0,1,e.xanchor),a=l.align((s?e._vFrac:1-e._uFrac)-o/c.h,s?e._lenFrac:e._thickFrac,0,1,e.yanchor);var f=l.getCursor(i,a,e.xanchor,e.yanchor);h(t,f)},doneFn:function(){if(h(t),void 0!==i&&void 0!==a){var n={};n[e._propPrefix+\"x\"]=i,n[e._propPrefix+\"y\"]=a,void 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o.warn(\"Fx.hover failed\",e,t),d.unhoverRaw(t,e)}var ct=1/0;function ut(t,r){for(G=0;G<rt.length;G++)if((Y=rt[G])&&Y[0]&&Y[0].trace&&!0===(W=Y[0].trace).visible&&0!==W._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(W._module.name)){if(\"splom\"===W.type?X=l[Z=0]:(X=v.getSubplot(W),Z=l.indexOf(X)),J=P,v.isUnifiedHover(J)&&(J=J.charAt(0)),$={cd:Y,trace:W,xa:_[Z],ya:w[Z],maxHoverDistance:O,maxSpikeDistance:B,index:!1,distance:Math.min(ct,O),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:p.defaultLine,name:W.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},u[X]&&($.subplot=u[X]._subplot),u._splomScenes&&u._splomScenes[W.uid]&&($.scene=u._splomScenes[W.uid]),tt=et.length,\"array\"===J){var n=e[G];\"pointNumber\"in n?($.index=n.pointNumber,J=\"closest\"):(J=\"\",\"xval\"in n&&(K=n.xval,J=\"x\"),\"yval\"in n&&(Q=n.yval,J=J?\"closest\":\"y\"))}else void 0!==t&&void 0!==r?(K=t,Q=r):(K=V[Z],Q=H[Z]);if(0!==O)if(W._module&&W._module.hoverPoints){var a=W._module.hoverPoints($,K,Q,J,{finiteRange:!0,hoverLayer:u._hoverlayer});if(a)for(var s,c=0;c<a.length;c++)s=a[c],i(s.x0)&&i(s.y0)&&et.push(D(s,P))}else o.log(\"Unrecognized trace type in hover:\",W);if(\"closest\"===P&&et.length>tt&&(et.splice(0,tt),ct=et[0].distance),y&&0!==B&&0===et.length){$.distance=B,$.index=!1;var f=W._module.hoverPoints($,K,Q,\"closest\",{hoverLayer:u._hoverlayer});if(f&&(f=f.filter((function(t){return t.spikeDistance<=B}))),f&&f.length){var h,d=f.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(d.length){var g=d[0];i(g.x0)&&i(g.y0)&&(h=ht(g),(!nt.vLinePoint||nt.vLinePoint.spikeDistance>h.spikeDistance)&&(nt.vLinePoint=h))}var m=f.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(m.length){var x=m[0];i(x.x0)&&i(x.y0)&&(h=ht(x),(!nt.hLinePoint||nt.hLinePoint.spikeDistance>h.spikeDistance)&&(nt.hLinePoint=h))}}}}}function ft(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n);return i}function ht(t){return t?{xa:t.xa,ya:t.ya,x:void 0!==t.xSpike?t.xSpike:(t.x0+t.x1)/2,y:void 0!==t.ySpike?t.ySpike:(t.y0+t.y1)/2,distance:t.distance,spikeDistance:t.spikeDistance,curveNumber:t.trace.index,color:t.color,pointNumber:t.index}:null}ut();var pt={fullLayout:u,container:u._hoverlayer,event:e},dt=t._spikepoints,gt={vLinePoint:nt.vLinePoint,hLinePoint:nt.hLinePoint};t._spikepoints=gt;var mt=function(){et.sort((function(t,e){return t.distance-e.distance})),et=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];m.traceIs(s.trace,\"bar-like\")||m.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(et,P)};mt();var vt=P.charAt(0),yt=(\"x\"===vt||\"y\"===vt)&&et[0]&&L[et[0].trace.type];if(y&&0!==B&&0!==et.length){var xt=ft(et.filter((function(t){return t.ya.showspikes})),B,yt);nt.hLinePoint=ht(xt);var bt=ft(et.filter((function(t){return t.xa.showspikes})),B,yt);nt.vLinePoint=ht(bt)}if(0===et.length){var _t=d.unhoverRaw(t,e);return!y||null===nt.hLinePoint&&null===nt.vLinePoint||F(dt)&&R(t,nt,pt),_t}y&&F(dt)&&R(t,nt,pt);if(v.isXYhover(J)&&0!==et[0].length&&\"splom\"!==et[0].trace.type){var wt=et[0],Tt=(et=E[wt.trace.type]?et.filter((function(t){return t.trace.index===wt.trace.index})):[wt]).length,kt=N(\"x\",wt,u),At=N(\"y\",wt,u);ut(kt,At);var Mt,St=[],Et={},Lt=0,Ct=function(t){var e=E[t.trace.type]?C(t):t.trace.index;if(Et[e]){var r=Et[e]-1,n=St[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(St[r]=t)}else Lt++,Et[e]=Lt,St.push(t)};for(Mt=0;Mt<Tt;Mt++)Ct(et[Mt]);for(Mt=et.length-1;Mt>Tt-1;Mt--)Ct(et[Mt]);et=St,mt()}var Pt=t._hoverdata,It=[],Ot=j(t),zt=U(t);for(q=0;q<et.length;q++){var Dt=et[q],Rt=v.makeEventData(Dt,Dt.trace,Dt.cd);if(!1!==Dt.hovertemplate){var Ft=!1;Dt.cd[Dt.index]&&Dt.cd[Dt.index].ht&&(Ft=Dt.cd[Dt.index].ht),Dt.hovertemplate=Ft||Dt.trace.hovertemplate||!1}if(Dt.xa&&Dt.ya){var Bt=Dt.x0+Dt.xa._offset,Nt=Dt.x1+Dt.xa._offset,jt=Dt.y0+Dt.ya._offset,Ut=Dt.y1+Dt.ya._offset,Vt=Math.min(Bt,Nt),Ht=Math.max(Bt,Nt),qt=Math.min(jt,Ut),Gt=Math.max(jt,Ut);Rt.bbox={x0:Vt+zt,x1:Ht+zt,y0:qt+Ot,y1:Gt+Ot}}Dt.eventData=[Rt],It.push(Rt)}t._hoverdata=It;var Yt=\"y\"===P&&(rt.length>1||et.length>1)||\"closest\"===P&&it&&et.length>1,Wt=p.combine(u.plot_bgcolor||p.background,u.paper_bgcolor),Xt=I(et,{gd:t,hovermode:P,rotateLabels:Yt,bgColor:Wt,container:u._hoverlayer,outerContainer:u._paper.node(),commonLabelOpts:u.hoverlabel,hoverdistance:u.hoverdistance});v.isUnifiedHover(P)||(!function(t,e,r){var n,i,a,o,s,l,c,u=0,f=1,h=t.size(),p=new Array(h),d=0;function g(t){var e=t[0],r=t[t.length-1];if(i=e.pmin-e.pos-e.dp+e.size,a=r.pos+r.dp+r.size-e.pmax,i>.01){for(s=t.length-1;s>=0;s--)t[s].dp+=i;n=!1}if(!(a<.01)){if(i<-.01){for(s=t.length-1;s>=0;s--)t[s].dp-=a;n=!1}if(n){var c=0;for(o=0;o<t.length;o++)(l=t[o]).pos+l.dp+l.size>e.pmax&&c++;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos>e.pmax-1&&(l.del=!0,c--);for(o=0;o<t.length&&!(c<=0);o++)if((l=t[o]).pos<e.pmin+1)for(l.del=!0,c--,a=2*l.size,s=t.length-1;s>=0;s--)t[s].dp-=a;for(o=t.length-1;o>=0&&!(c<=0);o--)(l=t[o]).pos+l.dp+l.size>e.pmax&&(l.del=!0,c--)}}}t.each((function(t){var n=t[e],i=\"x\"===n._id.charAt(0),a=n.range;0===d&&a&&a[0]>a[1]!==i&&(f=-1),p[d++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(i?T:1)/2,pmin:0,pmax:i?r.width:r.height}]})),p.sort((function(t,e){return t[0].posref-e[0].posref||f*(e[0].traceIndex-t[0].traceIndex)}));for(;!n&&u<=h;){for(u++,n=!0,o=0;o<p.length-1;){var m=p[o],v=p[o+1],y=m[m.length-1],x=v[0];if((i=y.pos+y.dp+y.size-x.pos-x.dp+x.size)>.01&&y.pmin===x.pmin&&y.pmax===x.pmax){for(s=v.length-1;s>=0;s--)v[s].dp+=i;for(m.push.apply(m,v),p.splice(o+1,1),c=0,s=m.length-1;s>=0;s--)c+=m[s].dp;for(a=c/m.length,s=m.length-1;s>=0;s--)m[s].dp-=a;n=!1}else o++}p.forEach(g)}for(o=p.length-1;o>=0;o--){var b=p[o];for(s=b.length-1;s>=0;s--){var _=b[s],w=_.datum;w.offset=_.dp,w.del=_.del}}}(Xt,Yt?\"xa\":\"ya\",u),z(Xt,Yt,u._invScaleX,u._invScaleY));if(s&&s.tagName){var Zt=m.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,It);f(n.select(s),Zt?\"pointer\":\"\")}if(!s||a||!function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Pt))return;Pt&&t.emit(\"plotly_unhover\",{event:e,points:Pt});t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:_,yaxes:w,xvals:V,yvals:H})}(t,e,r,a,s)}))},r.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=j(i),o=U(i),s=I(t.map((function(t){var r=t._x0||t.x0||t.x||0,n=t._x1||t.x1||t.x||0,s=t._y0||t.y0||t.y||0,l=t._y1||t.y1||t.y||0,c=t.eventData;if(c){var u=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),d=Math.max(s,l),g=t.trace;if(m.traceIs(g,\"gl3d\")){var v=i._fullLayout[g.scene]._scene.container,y=v.offsetLeft,x=v.offsetTop;u+=y,f+=y,h+=x,d+=x}c.bbox={x0:u+o,x1:f+o,y0:h+a,y1:d+a},e.inOut_bbox&&e.inOut_bbox.push(c.bbox)}else c=!1;return{color:t.color||p.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:c}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||p.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}),l=0,c=0;return s.sort((function(t,e){return t.y0-e.y0})).each((function(t,r){var n=t.y0-t.by/2;t.offset=n-5<l?l-n+5:0,l=n+t.by+t.offset,r===e.anchorIndex&&(c=t.offset)})).each((function(t){t.offset-=c})),z(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var P=/<extra>([\\s\\S]*)<\\/extra>/;function I(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,c=e.rotateLabels,f=e.bgColor,d=e.container,g=e.outerContainer,w=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||y.HOVERFONT,k=e.fontSize||y.HOVERFONTSIZE,A=t[0],E=A.xa,L=A.ya,P=a.charAt(0),I=A[P+\"Label\"],z=V(r,g),D=z.top,R=z.width,F=z.height,B=void 0!==I&&A.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(B){var N,j,U=!0;for(N=0;N<t.length;N++)if(U&&void 0===t[N].zLabel&&(U=!1),j=t[N].hoverinfo||t[N].trace.hoverinfo){var H=Array.isArray(j)?j:j.split(\"+\");if(-1===H.indexOf(\"all\")&&-1===H.indexOf(a)){B=!1;break}}U&&(B=!1)}var q=d.selectAll(\"g.axistext\").data(B?[0]:[]);if(q.enter().append(\"g\").classed(\"axistext\",!0),q.exit().remove(),q.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),l=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),c=w.bgcolor||p.defaultLine,f=w.bordercolor||p.contrast(c),d=p.contrast(c),g={family:w.font.family||T,size:w.font.size||k,color:w.font.color||d};e.style({fill:c,stroke:f}),l.text(I).call(h.font,g).call(u.positionText,0,0).call(u.convertToTspans,r),t.attr(\"transform\",\"\");var m,v,y=V(r,l.node());if(\"x\"===a){var x=\"top\"===E.side?\"-\":\"\";l.attr(\"text-anchor\",\"middle\").call(u.positionText,0,\"top\"===E.side?D-y.bottom-M-S:D-y.top+M+S),m=E._offset+(A.x0+A.x1)/2,v=L._offset+(\"top\"===E.side?0:L._length);var b=y.width/2+S;m<b?(m=b,e.attr(\"d\",\"M-\"+(b-M)+\",0L-\"+(b-2*M)+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"Z\")):m>i.width-b?(m=i.width-b,e.attr(\"d\",\"M\"+(b-M)+\",0L\"+b+\",\"+x+M+\"v\"+x+(2*S+y.height)+\"H-\"+b+\"V\"+x+M+\"H\"+(b-2*M)+\"Z\")):e.attr(\"d\",\"M0,0L\"+M+\",\"+x+M+\"H\"+(S+y.width/2)+\"v\"+x+(2*S+y.height)+\"H-\"+(S+y.width/2)+\"V\"+x+M+\"H-\"+M+\"Z\")}else{var _,C,P;\"right\"===L.side?(_=\"start\",C=1,P=\"\",m=E._offset+E._length):(_=\"end\",C=-1,P=\"-\",m=E._offset),v=L._offset+(A.y0+A.y1)/2,l.attr(\"text-anchor\",_),e.attr(\"d\",\"M0,0L\"+P+M+\",\"+M+\"V\"+(S+y.height/2)+\"h\"+P+(2*S+y.width)+\"V-\"+(S+y.height/2)+\"H\"+P+M+\"V-\"+M+\"Z\");var O,z=y.height/2,R=D-y.top-z,F=\"clip\"+i._uid+\"commonlabel\"+L._id;if(m<y.width+2*S+M){O=\"M-\"+(M+S)+\"-\"+z+\"h-\"+(y.width-S)+\"V\"+z+\"h\"+(y.width-S)+\"Z\";var B=y.width-m+S;u.positionText(l,B,R),\"end\"===_&&l.selectAll(\"tspan\").each((function(){var t=n.select(this),e=h.tester.append(\"text\").text(t.text()).call(h.font,g),i=V(r,e.node());Math.round(i.width)<Math.round(y.width)&&t.attr(\"x\",B-i.width),e.remove()}))}else u.positionText(l,C*(S+M),R),O=null;var N=i._topclips.selectAll(\"#\"+F).data(O?[0]:[]);N.enter().append(\"clipPath\").attr(\"id\",F).append(\"path\"),N.exit().remove(),N.select(\"path\").attr(\"d\",O),h.setClipUrl(l,O?F:null,r)}t.attr(\"transform\",s(m,v))})),v.isUnifiedHover(a)){d.selectAll(\"g.hovertext\").remove();var G=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===G.length)return;var Y=i.hoverlabel,W=Y.font,X={showlegend:!0,legend:{title:{text:I,font:W},font:W,bgcolor:Y.bgcolor,bordercolor:Y.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},Z={font:W};x(X,Z,r._fullData);var J=Z.legend;J.entries=[];for(var K=0;K<G.length;K++){var Q=G[K];if(\"none\"!==Q.hoverinfo){var $=O(Q,!0,a,i,I),tt=$[0],et=$[1];Q.name=et,Q.text=\"\"!==et?et+\" : 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n=t(\"@plotly/d3\"),i=t(\"../../lib\"),a=t(\"../../plots/plots\"),o=t(\"../../registry\"),s=t(\"../../lib/events\"),l=t(\"../dragelement\"),c=t(\"../drawing\"),u=t(\"../color\"),f=t(\"../../lib/svg_text_utils\"),h=t(\"./handle_click\"),p=t(\"./constants\"),d=t(\"../../constants/alignment\"),g=d.LINE_SPACING,m=d.FROM_TL,v=d.FROM_BR,y=t(\"./get_legend_data\"),x=t(\"./style\"),b=t(\"./helpers\");function _(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};if(a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label),!1!==s.triggerHandler(t,\"plotly_legendclick\",l))if(1===n)e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay);else 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axes\")},attr:\"zoom\",val:\"reset\",icon:o.home,click:f},u.hoverClosestCartesian={name:\"hoverClosestCartesian\",_cat:\"hoverclosest\",title:function(t){return c(t,\"Show closest data on hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:f},u.hoverCompareCartesian={name:\"hoverCompareCartesian\",_cat:\"hoverCompare\",title:function(t){return c(t,\"Compare data on hover\")},attr:\"hovermode\",val:function(t){return t._fullLayout._isHoriz?\"y\":\"x\"},icon:o.tooltip_compare,gravity:\"ne\",click:f},u.zoom3d={name:\"zoom3d\",_cat:\"zoom\",title:function(t){return c(t,\"Zoom\")},attr:\"scene.dragmode\",val:\"zoom\",icon:o.zoombox,click:h},u.pan3d={name:\"pan3d\",_cat:\"pan\",title:function(t){return c(t,\"Pan\")},attr:\"scene.dragmode\",val:\"pan\",icon:o.pan,click:h},u.orbitRotation={name:\"orbitRotation\",title:function(t){return c(t,\"Orbital 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hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:v},u.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return c(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},u.toggleHover={name:\"toggleHover\",title:function(t){return c(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=m(t),n.call(\"_guiRelayout\",t,r)}},u.resetViews={name:\"resetViews\",title:function(t){return c(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},u.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return c(t,\"Toggle Spike Lines\")},icon:o.spikeline,attr:\"_cartesianSpikesEnabled\",val:\"on\",click:function(t){var e=t._fullLayout,r=e._cartesianSpikesEnabled;e._cartesianSpikesEnabled=\"on\"===r?\"off\":\"on\",n.call(\"_guiRelayout\",t,function(t){for(var e=\"on\"===t._fullLayout._cartesianSpikesEnabled,r=a.list(t,null,!0),n={},i=0;i<r.length;i++){var o=r[i];n[o._name+\".showspikes\"]=!!e||o._showSpikeInitial}return n}(t))}},u.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return c(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},u.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return c(t,\"Zoom 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n=t(\"../../lib\"),i=t(\"../color\"),a=t(\"../../plot_api/plot_template\"),o=t(\"./attributes\");e.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var c=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(c,.3)),l(\"activecolor\",i.addOpacity(c,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},{\"../../lib\":503,\"../../plot_api/plot_template\":543,\"../color\":366,\"./attributes\":425}],429:[function(t,e,r){\"use strict\";e.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:t(\"./attributes\"),supplyLayoutDefaults:t(\"./defaults\"),manage:t(\"./manage\")}},{\"./attributes\":425,\"./defaults\":428,\"./manage\":430}],430:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axis_ids\"),i=t(\"../../traces/scatter/subtypes\"),a=t(\"../../registry\"),o=t(\"../fx/helpers\").isUnifiedHover,s=t(\"./modebar\"),l=t(\"./buttons\"),c=t(\"./constants\").DRAW_MODES;e.exports=function(t){var e=t._fullLayout,r=t._context,u=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var f,h=r.modeBarButtons;f=Array.isArray(h)&&h.length?function(t){for(var e=0;e<t.length;e++)for(var r=t[e],n=0;n<r.length;n++){var i=r[n];if(\"string\"==typeof i){if(void 0===l[i])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));t[e][n]=l[i]}}return t}(h):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function u(t,e){if(\"string\"==typeof e){if(e.toLowerCase()===t.toLowerCase())return!0}else{var r=e.name,n=e._cat||e.name;if(r===t||n===t.toLowerCase())return!0}return!1}var f=e.modebar.add;\"string\"==typeof f&&(f=[f]);var h=e.modebar.remove;\"string\"==typeof h&&(h=[h]);var p=s.modeBarButtonsToAdd.concat(f.filter((function(t){for(var e=0;e<s.modeBarButtonsToRemove.length;e++)if(u(t,s.modeBarButtonsToRemove[e]))return!1;return!0}))),d=s.modeBarButtonsToRemove.concat(h.filter((function(t){for(var e=0;e<s.modeBarButtonsToAdd.length;e++)if(u(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),g=e._has(\"cartesian\"),m=e._has(\"gl3d\"),v=e._has(\"geo\"),y=e._has(\"pie\"),x=e._has(\"funnelarea\"),b=e._has(\"gl2d\"),_=e._has(\"ternary\"),w=e._has(\"mapbox\"),T=e._has(\"polar\"),k=e._has(\"smith\"),A=e._has(\"sankey\"),M=function(t){for(var e=n.list({_fullLayout:t},null,!0),r=0;r<e.length;r++)if(!e[r].fixedrange)return!1;return!0}(e),S=o(e.hovermode),E=[];function L(t){if(t.length){for(var e=[],r=0;r<t.length;r++){for(var n=t[r],i=l[n],a=i.name.toLowerCase(),o=(i._cat||i.name).toLowerCase(),s=!1,c=0;c<d.length;c++){var u=d[c].toLowerCase();if(u===a||u===o){s=!0;break}}s||e.push(l[n])}E.push(e)}}var C=[\"toImage\"];s.showEditInChartStudio?C.push(\"editInChartStudio\"):s.showSendToCloud&&C.push(\"sendDataToCloud\");L(C);var P=[],I=[],O=[],z=[];(g||b||y||x||_)+v+m+w+T+k>1?(I=[\"toggleHover\"],O=[\"resetViews\"]):v?(P=[\"zoomInGeo\",\"zoomOutGeo\"],I=[\"hoverClosestGeo\"],O=[\"resetGeo\"]):m?(I=[\"hoverClosest3d\"],O=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],I=[\"toggleHover\"],O=[\"resetViewMapbox\"]):b?I=[\"hoverClosestGl2d\"]:y?I=[\"hoverClosestPie\"]:A?(I=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],O=[\"resetViewSankey\"]):I=[\"toggleHover\"];g&&(I=[\"toggleSpikelines\",\"hoverClosestCartesian\",\"hoverCompareCartesian\"]);(function(t){for(var e=0;e<t.length;e++)if(!a.traceIs(t[e],\"noHover\"))return!1;return!0}(r)||S)&&(I=[]);!g&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==O[0]&&(O=[\"resetScale2d\"]));m?z=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(g||b)&&!M||_?z=[\"zoom2d\",\"pan2d\"]:w||v?z=[\"pan2d\"]:T&&(z=[\"zoom2d\"]);(function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var 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r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover \":\"\";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+\"#\"+i+\" .modebar-group\",\"background-color: \"+o.bgcolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn .icon path\",\"fill: \"+o.color),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn:hover .icon path\",\"fill: \"+o.activecolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn.active .icon path\",\"fill: \"+o.activecolor);var l=!this.hasButtons(e),c=this.hasLogo!==r.displaylogo,u=this.locale!==r.locale;if(this.locale=r.locale,(l||c||u)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},u.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},u.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},u.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof 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a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a)}t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]);return e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},u.updateActiveButton=function(t){var e=this.graphInfo._fullLayout,r=void 0!==t?t.getAttribute(\"data-attr\"):null;this.buttonElements.forEach((function(t){var i=t.getAttribute(\"data-val\")||!0,o=t.getAttribute(\"data-attr\"),s=\"true\"===t.getAttribute(\"data-toggle\"),l=n.select(t);if(s)o===r&&l.classed(\"active\",!l.classed(\"active\"));else{var c=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",c===i)}}))},u.hasButtons=function(t){var e=this.buttons;if(!e)return!1;if(t.length!==e.length)return!1;for(var r=0;r<t.length;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;n++)if(t[r][n].name!==e[r][n].name)return!1}return!0},u.getLogo=function(){var t=this.createGroup(),e=document.createElement(\"a\");return e.href=\"https://plotly.com/\",e.target=\"_blank\",e.setAttribute(\"data-title\",a._(this.graphInfo,\"Produced with Plotly.js\")+\" (v\"+s+\")\"),e.className=\"modebar-btn plotlyjsicon modebar-btn--logo\",e.appendChild(this.createIcon(o.newplotlylogo)),t.appendChild(e),t},u.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1},u.destroy=function(){a.removeElement(this.container.querySelector(\".modebar\")),a.deleteRelatedStyleRule(this._uid)},e.exports=function(t,e){var r=t._fullLayout,i=new c({graphInfo:t,container:r._modebardiv.node(),buttons:e});return r._privateplot&&n.select(i.element).append(\"span\").classed(\"badge-private 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if(\"log\"===t.type){t.tick0=0;var c=s.simpleMap(t.range,t.r2l);if(e>.7)t.dtick=Math.ceil(e);else if(Math.abs(c[1]-c[0])<1){var u=1.5*Math.abs((c[1]-c[0])/e);e=Math.abs(Math.pow(10,c[1])-Math.pow(10,c[0]))/u,r=n(10),t.dtick=\"L\"+ot(e,r,$)}else t.dtick=e>.3?\"D2\":\"D1\"}else\"category\"===t.type||\"multicategory\"===t.type?(t.tick0=0,t.dtick=Math.ceil(Math.max(e,1))):At(t)?(t.tick0=0,r=1,t.dtick=ot(e,r,at)):(t.tick0=0,r=n(10),t.dtick=ot(e,r,$));if(0===t.dtick&&(t.dtick=1),!i(t.dtick)&&\"string\"!=typeof t.dtick){var f=t.dtick;throw t.dtick=1,\"ax.dtick error: \"+String(f)}},V.tickIncrement=function(t,e,r,a){var o=r?-1:1;if(i(e))return s.increment(t,o*e);var l=e.charAt(0),c=o*Number(e.substr(1));if(\"M\"===l)return s.incrementMonth(t,c,a);if(\"L\"===l)return Math.log(Math.pow(10,t)+c)/Math.LN10;if(\"D\"===l){var u=\"D2\"===e?it:nt,f=t+.01*o,h=s.roundUp(s.mod(f,1),u,r);return Math.floor(f)+Math.log(n.round(Math.pow(10,h),1))/Math.LN10}throw\"unrecognized dtick 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a=n._fullLayout._zoomlayer.selectAll(\".select-outline-\"+r.id);if(a&&n._fullLayout._drawing){var o=v(a,t);o&&i.call(\"_guiRelayout\",n,{shapes:o}),n._fullLayout._drawing=!1}}r.selection={},r.selection.selectionDefs=t.selectionDefs=[],r.selection.mergedPolygons=t.mergedPolygons=[]}function N(t,e,r,n){var i,a,o,s=[],l=e.map((function(t){return t._id})),c=r.map((function(t){return t._id}));for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!n||a.subplot!==n&&a.geo!==n)if(\"splom\"===a.type&&a._xaxes[l[0]]&&a._yaxes[c[0]]){var u=h(a._module,i,e[0],r[0]);u.scene=t._fullLayout._splomScenes[a.uid],s.push(u)}else if(\"sankey\"===a.type){var f=h(a._module,i,e[0],r[0]);s.push(f)}else{if(-1===l.indexOf(a.xaxis))continue;if(-1===c.indexOf(a.yaxis))continue;s.push(h(a._module,i,_(t,a.xaxis),_(t,a.yaxis)))}else s.push(h(a._module,i,e[0],r[0]));return s;function h(t,e,r,n){return{_module:t,cd:e,xaxis:r,yaxis:n}}}function j(t){var 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n=t(\"@plotly/d3\"),i=t(\"d3-geo\"),a=i.geoPath,o=i.geoDistance,s=t(\"d3-geo-projection\"),l=t(\"../../registry\"),c=t(\"../../lib\"),u=c.strTranslate,f=t(\"../../components/color\"),h=t(\"../../components/drawing\"),p=t(\"../../components/fx\"),d=t(\"../plots\"),g=t(\"../cartesian/axes\"),m=t(\"../cartesian/autorange\").getAutoRange,v=t(\"../../components/dragelement\"),y=t(\"../cartesian/select\").prepSelect,x=t(\"../cartesian/select\").clearSelect,b=t(\"../cartesian/select\").selectOnClick,_=t(\"./zoom\"),w=t(\"./constants\"),T=t(\"../../lib/geo_location_utils\"),k=t(\"../../lib/topojson_utils\"),A=t(\"topojson-client\").feature;function M(t){this.id=t.id,this.graphDiv=t.graphDiv,this.container=t.container,this.topojsonURL=t.topojsonURL,this.isStatic=t.staticPlot,this.topojsonName=null,this.topojson=null,this.projection=null,this.scope=null,this.viewInitial=null,this.fitScale=null,this.bounds=null,this.midPt=null,this.hasChoropleth=!1,this.traceHash={},this.layers={},this.basePaths={},this.dataPaths={},this.dataPoints={},this.clipDef=null,this.clipRect=null,this.bgRect=null,this.makeFramework()}var S=M.prototype;function E(t,e){var r=w.clipPad,n=t[0]+r,i=t[1]-r,a=e[0]+r,o=e[1]-r;n>0&&i<0&&(i+=360);var s=(i-n)/4;return{type:\"Polygon\",coordinates:[[[n,a],[n,o],[n+s,o],[n+2*s,o],[n+3*s,o],[i,o],[i,a],[i-s,a],[i-2*s,a],[i-3*s,a],[n,a]]]}}e.exports=function(t){return new M(t)},S.plot=function(t,e,r){var n=this,i=e[this.id],a=[],o=!1;for(var s in w.layerNameToAdjective)if(\"frame\"!==s&&i[\"show\"+s]){o=!0;break}for(var l=0;l<t.length;l++)if(t[0][0].trace.locationmode){o=!0;break}if(o){var 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i=t[n],a=i[0].trace;\"choropleth\"===a.type&&(this.hasChoropleth=!0),!0===a.visible&&a._length>0&&a._module.calcGeoJSON(i,e)}if(!this.updateProjection(t,e)){this.viewInitial&&this.scope===r.scope||this.saveViewInitial(r),this.scope=r.scope,this.updateBaseLayers(e,r),this.updateDims(e,r),this.updateFx(e,r),d.generalUpdatePerTraceModule(this.graphDiv,this,t,r);var o=this.layers.frontplot.select(\".scatterlayer\");this.dataPoints.point=o.selectAll(\".point\"),this.dataPoints.text=o.selectAll(\"text\"),this.dataPaths.line=o.selectAll(\".js-line\");var s=this.layers.backplot.select(\".choroplethlayer\");this.dataPaths.choropleth=s.selectAll(\"path\"),this.render()}},S.updateProjection=function(t,e){var r=this.graphDiv,n=e[this.id],l=e._size,u=n.domain,f=n.projection,h=n.lonaxis,p=n.lataxis,d=h._ax,g=p._ax,v=this.projection=function(t){var e=t.projection,r=e.type,n=w.projNames[r];n=\"geo\"+c.titleCase(n);for(var l=(i[n]||s[n])(),u=t._isSatellite?180*Math.acos(1/e.distance)/Math.PI:t._isClipped?w.lonaxisSpan[r]/2:null,f=[\"center\",\"rotate\",\"parallels\",\"clipExtent\"],h=function(t){return t?l:[]},p=0;p<f.length;p++){var d=f[p];\"function\"!=typeof l[d]&&(l[d]=h)}l.isLonLatOverEdges=function(t){if(null===l(t))return!0;if(u){var e=l.rotate();return o(t,[-e[0],-e[1]])>u*Math.PI/180}return!1},l.getPath=function(){return a().projection(l)},l.getBounds=function(t){return l.getPath().bounds(t)},l.precision(w.precision),t._isSatellite&&l.tilt(e.tilt).distance(e.distance);u&&l.clipAngle(u-w.clipPad);return l}(n),y=[[l.l+l.w*u.x[0],l.t+l.h*(1-u.y[1])],[l.l+l.w*u.x[1],l.t+l.h*(1-u.y[0])]],x=n.center||{},b=f.rotation||{},_=h.range||[],T=p.range||[];if(n.fitbounds){d._length=y[1][0]-y[0][0],g._length=y[1][1]-y[0][1],d.range=m(r,d),g.range=m(r,g);var k=(d.range[0]+d.range[1])/2,A=(g.range[0]+g.range[1])/2;if(n._isScoped)x={lon:k,lat:A};else if(n._isClipped){x={lon:k,lat:A},b={lon:k,lat:A,roll:b.roll};var M=f.type,S=w.lonaxisSpan[M]/2||180,L=w.lataxisSpan[M]/2||90;_=[k-S,k+S],T=[A-L,A+L]}else x={lon:k,lat:A},b={lon:k,lat:b.lat,roll:b.roll}}v.center([x.lon-b.lon,x.lat-b.lat]).rotate([-b.lon,-b.lat,b.roll]).parallels(f.parallels);var C=E(_,T);v.fitExtent(y,C);var P=this.bounds=v.getBounds(C),I=this.fitScale=v.scale(),O=v.translate();if(n.fitbounds){var z=v.getBounds(E(d.range,g.range)),D=Math.min((P[1][0]-P[0][0])/(z[1][0]-z[0][0]),(P[1][1]-P[0][1])/(z[1][1]-z[0][1]));isFinite(D)?v.scale(D*I):c.warn(\"Something went wrong during\"+this.id+\"fitbounds computations.\")}else v.scale(f.scale*I);var R=this.midPt=[(P[0][0]+P[1][0])/2,(P[0][1]+P[1][1])/2];if(v.translate([O[0]+(R[0]-O[0]),O[1]+(R[1]-O[1])]).clipExtent(P),n._isAlbersUsa){var F=v([x.lon,x.lat]),B=v.translate();v.translate([B[0]-(F[0]-B[0]),B[1]-(F[1]-B[1])])}},S.updateBaseLayers=function(t,e){var r=this,i=r.topojson,a=r.layers,o=r.basePaths;function s(t){return\"lonaxis\"===t||\"lataxis\"===t}function l(t){return Boolean(w.lineLayers[t])}function c(t){return Boolean(w.fillLayers[t])}var u=(this.hasChoropleth?w.layersForChoropleth:w.layers).filter((function(t){return l(t)||c(t)?e[\"show\"+t]:!s(t)||e[t].showgrid})),p=r.framework.selectAll(\".layer\").data(u,String);p.exit().each((function(t){delete a[t],delete o[t],n.select(this).remove()})),p.enter().append(\"g\").attr(\"class\",(function(t){return\"layer \"+t})).each((function(t){var e=a[t]=n.select(this);\"bg\"===t?r.bgRect=e.append(\"rect\").style(\"pointer-events\",\"all\"):s(t)?o[t]=e.append(\"path\").style(\"fill\",\"none\"):\"backplot\"===t?e.append(\"g\").classed(\"choroplethlayer\",!0):\"frontplot\"===t?e.append(\"g\").classed(\"scatterlayer\",!0):l(t)?o[t]=e.append(\"path\").style(\"fill\",\"none\").style(\"stroke-miterlimit\",2):c(t)&&(o[t]=e.append(\"path\").style(\"stroke\",\"none\"))})),p.order(),p.each((function(r){var n=o[r],a=w.layerNameToAdjective[r];\"frame\"===r?n.datum(w.sphereSVG):l(r)||c(r)?n.datum(A(i,i.objects[r])):s(r)&&n.datum(function(t,e,r){var n,i,a,o=e[t],s=w.scopeDefaults[e.scope];\"lonaxis\"===t?(n=s.lonaxisRange,i=s.lataxisRange,a=function(t,e){return[t,e]}):\"lataxis\"===t&&(n=s.lataxisRange,i=s.lonaxisRange,a=function(t,e){return[e,t]});var l={type:\"linear\",range:[n[0],n[1]-1e-6],tick0:o.tick0,dtick:o.dtick};g.setConvert(l,r);var c=g.calcTicks(l);e.isScoped||\"lonaxis\"!==t||c.pop();for(var u=c.length,f=new Array(u),h=0;h<u;h++)for(var p=c[h].x,d=f[h]=[],m=i[0];m<i[1]+2.5;m+=2.5)d.push(a(p,m));return{type:\"MultiLineString\",coordinates:f}}(r,e,t)).call(f.stroke,e[r].gridcolor).call(h.dashLine,\"\",e[r].gridwidth),l(r)?n.call(f.stroke,e[a+\"color\"]).call(h.dashLine,\"\",e[a+\"width\"]):c(r)&&n.call(f.fill,e[a+\"color\"])}))},S.updateDims=function(t,e){var r=this.bounds,n=(e.framewidth||0)/2,i=r[0][0]-n,a=r[0][1]-n,o=r[1][0]-i+n,s=r[1][1]-a+n;h.setRect(this.clipRect,i,a,o,s),this.bgRect.call(h.setRect,i,a,o,s).call(f.fill,e.bgcolor),this.xaxis._offset=i,this.xaxis._length=o,this.yaxis._offset=a,this.yaxis._length=s},S.updateFx=function(t,e){var r=this,i=r.graphDiv,a=r.bgRect,o=t.dragmode,s=t.clickmode;if(!r.isStatic){var u;\"select\"===o?u=function(t,e){(t.range={})[r.id]=[h([e.xmin,e.ymin]),h([e.xmax,e.ymax])]}:\"lasso\"===o&&(u=function(t,e,n){(t.lassoPoints={})[r.id]=n.filtered.map(h)});var f={element:r.bgRect.node(),gd:i,plotinfo:{id:r.id,xaxis:r.xaxis,yaxis:r.yaxis,fillRangeItems:u},xaxes:[r.xaxis],yaxes:[r.yaxis],subplot:r.id,clickFn:function(t){2===t&&x(i)}};\"pan\"===o?(a.node().onmousedown=null,a.call(_(r,e)),a.on(\"dblclick.zoom\",(function(){var t=r.viewInitial,e={};for(var n in 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v=n/(f[2]-f[0])*(l[2]-l[0])+l[0],y=i/(f[3]-f[1])*(l[3]-l[1])+l[1];c.boxInited||(c.boxStart[0]=v,c.boxStart[1]=y,c.dragStart[0]=n,c.dragStart[1]=i),c.boxEnd[0]=v,c.boxEnd[1]=y,c.boxInited=!0,c.boxEnabled||c.boxStart[0]===c.boxEnd[0]&&c.boxStart[1]===c.boxEnd[1]||(c.boxEnabled=!0);var x=Math.abs(c.dragStart[0]-n)<g,b=Math.abs(c.dragStart[1]-i)<g;if(!function(){for(var e=t.graphDiv._fullLayout._axisConstraintGroups,r=t.xaxis._id,n=t.yaxis._id,i=0;i<e.length;i++)if(-1!==e[i][r]){if(-1!==e[i][n])return!0;break}return!1}()||x&&b)x&&(c.boxEnd[0]=c.boxStart[0]),b&&(c.boxEnd[1]=c.boxStart[1]);else{a=c.boxEnd[0]-c.boxStart[0],s=c.boxEnd[1]-c.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(c.boxEnd[1]=c.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),c.boxEnd[1]<l[1]?(c.boxEnd[1]=l[1],c.boxEnd[0]=c.boxStart[0]+(l[1]-c.boxStart[1])/Math.abs(_)):c.boxEnd[1]>l[3]&&(c.boxEnd[1]=l[3],c.boxEnd[0]=c.boxStart[0]+(l[3]-c.boxStart[1])/Math.abs(_))):(c.boxEnd[0]=c.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),c.boxEnd[0]<l[0]?(c.boxEnd[0]=l[0],c.boxEnd[1]=c.boxStart[1]+(l[0]-c.boxStart[0])*Math.abs(_)):c.boxEnd[0]>l[2]&&(c.boxEnd[0]=l[2],c.boxEnd[1]=c.boxStart[1]+(l[2]-c.boxStart[0])*Math.abs(_)))}}else c.boxEnabled?(a=c.boxStart[0]!==c.boxEnd[0],s=c.boxStart[1]!==c.boxEnd[1],a||s?(a&&(m(0,c.boxStart[0],c.boxEnd[0]),t.xaxis.autorange=!1),s&&(m(1,c.boxStart[1],c.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),c.boxEnabled=!1,c.boxInited=!1):c.boxInited&&(c.boxInited=!1);break;case\"pan\":c.boxEnabled=!1,c.boxInited=!1,e?(c.panning||(c.dragStart[0]=n,c.dragStart[1]=i),Math.abs(c.dragStart[0]-n)<d&&(n=c.dragStart[0]),Math.abs(c.dragStart[1]-i)<d&&(i=c.dragStart[1]),a=(h-n)*(l[2]-l[0])/(r.viewBox[2]-r.viewBox[0]),s=(p-i)*(l[3]-l[1])/(r.viewBox[3]-r.viewBox[1]),l[0]+=a,l[2]+=a,l[1]+=s,l[3]+=s,t.setRanges(l),c.panning=!0,c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations()):c.panning&&(c.panning=!1,t.relayoutCallback())}c.lastPos[0]=n,c.lastPos[1]=i}return c.mouseListener=n(e,f),e.addEventListener(\"touchstart\",(function(t){var r=a(t.changedTouches[0],e);f(0,r[0],r[1]),f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchmove\",(function(t){t.preventDefault();var r=a(t.changedTouches[0],e);f(1,r[0],r[1]),t.preventDefault()}),!!s&&{passive:!1}),e.addEventListener(\"touchend\",(function(t){f(0,c.lastPos[0],c.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),c.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=c.lastPos[0],s=c.lastPos[1],l=Math.exp(5*n/(a[3]-a[1])),f=o/(a[2]-a[0])*(i[2]-i[0])+i[0],h=s/(a[3]-a[1])*(i[3]-i[1])+i[1];return i[0]=(i[0]-f)*l+f,i[2]=(i[2]-f)*l+f,i[1]=(i[1]-h)*l+h,i[3]=(i[3]-h)*l+h,t.setRanges(i),c.lastInputTime=Date.now(),u(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),c}},{\"../cartesian/constants\":561,\"has-passive-events\":229,\"mouse-change\":241,\"mouse-event-offset\":242,\"mouse-wheel\":244}],595:[function(t,e,r){\"use strict\";var n=t(\"../cartesian/axes\"),i=t(\"../../lib/str2rgbarray\");function a(t){this.scene=t,this.gl=t.gl,this.pixelRatio=t.pixelRatio,this.screenBox=[0,0,1,1],this.viewBox=[0,0,1,1],this.dataBox=[-1,-1,1,1],this.borderLineEnable=[!1,!1,!1,!1],this.borderLineWidth=[1,1,1,1],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.ticks=[[],[]],this.tickEnable=[!0,!0,!1,!1],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labels=[\"x\",\"y\"],this.labelEnable=[!0,!0,!1,!1],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelPad=[15,15,15,15],this.labelSize=[12,12],this.labelFont=[\"sans-serif\",\"sans-serif\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.title=\"\",this.titleEnable=!0,this.titleCenter=[0,0,0,0],this.titleAngle=0,this.titleColor=[0,0,0,1],this.titleFont=\"sans-serif\",this.titleSize=18,this.gridLineEnable=[!0,!0],this.gridLineColor=[[0,0,0,.5],[0,0,0,.5]],this.gridLineWidth=[1,1],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[1,1],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.static=this.scene.staticPlot}var o=a.prototype,s=[\"xaxis\",\"yaxis\"];o.merge=function(t){var e,r,n,a,o,l,c,u,f,h,p;for(this.titleEnable=!1,this.backgroundColor=i(t.plot_bgcolor),h=0;h<2;++h){var d=(e=s[h]).charAt(0);for(n=(r=t[this.scene[e]._name]).title.text===this.scene.fullLayout._dfltTitle[d]?\"\":r.title.text,p=0;p<=2;p+=2)this.labelEnable[h+p]=!1,this.labels[h+p]=n,this.labelColor[h+p]=i(r.title.font.color),this.labelFont[h+p]=r.title.font.family,this.labelSize[h+p]=r.title.font.size,this.labelPad[h+p]=this.getLabelPad(e,r),this.tickEnable[h+p]=!1,this.tickColor[h+p]=i((r.tickfont||{}).color),this.tickAngle[h+p]=\"auto\"===r.tickangle?0:Math.PI*-r.tickangle/180,this.tickPad[h+p]=this.getTickPad(r),this.tickMarkLength[h+p]=0,this.tickMarkWidth[h+p]=r.tickwidth||0,this.tickMarkColor[h+p]=i(r.tickcolor),this.borderLineEnable[h+p]=!1,this.borderLineColor[h+p]=i(r.linecolor),this.borderLineWidth[h+p]=r.linewidth||0;c=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!c,l=this.hasAxisInAltrPos(e,r)&&!c,a=r.mirror||!1,u=c?-1!==String(a).indexOf(\"all\"):!!a,f=c?\"allticks\"===a:-1!==String(a).indexOf(\"ticks\"),o?this.labelEnable[h]=!0:l&&(this.labelEnable[h+2]=!0),o?this.tickEnable[h]=r.showticklabels:l&&(this.tickEnable[h+2]=r.showticklabels),(o||u)&&(this.borderLineEnable[h]=r.showline),(l||u)&&(this.borderLineEnable[h+2]=r.showline),(o||f)&&(this.tickMarkLength[h]=this.getTickMarkLength(r)),(l||f)&&(this.tickMarkLength[h+2]=this.getTickMarkLength(r)),this.gridLineEnable[h]=r.showgrid,this.gridLineColor[h]=i(r.gridcolor),this.gridLineWidth[h]=r.gridwidth,this.zeroLineEnable[h]=r.zeroline,this.zeroLineColor[h]=i(r.zerolinecolor),this.zeroLineWidth[h]=r.zerolinewidth}},o.hasSharedAxis=function(t){var e=this.scene,r=e.fullLayout._subplots.gl2d;return 0!==n.findSubplotsWithAxis(r,t).indexOf(e.id)},o.hasAxisInDfltPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"bottom\"===r:\"yaxis\"===t?\"left\"===r:void 0},o.hasAxisInAltrPos=function(t,e){var r=e.side;return\"xaxis\"===t?\"top\"===r:\"yaxis\"===t?\"right\"===r:void 0},o.getLabelPad=function(t,e){var r=e.title.font.size,n=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?r*(1.5+(n?1:0))-10:r*(1.5+(n?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+r*(1.5+(n?1:.5)):10+r*(1.5+(n?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},e.exports=function(t){return new a(t)}},{\"../../lib/str2rgbarray\":528,\"../cartesian/axes\":554}],596:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"./scene2d\"),a=t(\"../layout_attributes\"),o=t(\"../../constants/xmlns_namespaces\"),s=t(\"../cartesian/constants\"),l=t(\"../cartesian\"),c=t(\"../../components/fx/layout_attributes\"),u=t(\"../get_data\").getSubplotData;r.name=\"gl2d\",r.attr=[\"xaxis\",\"yaxis\"],r.idRoot=[\"x\",\"y\"],r.idRegex=s.idRegex,r.attrRegex=s.attrRegex,r.attributes=t(\"../cartesian/attributes\"),r.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},r.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),r.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:c.hoverlabel},\"plot\",\"nested\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=u(r,\"gl2d\",o),c=s._scene2d;void 0===c&&(c=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=c),c.plot(l,t.calcdata,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];if(s._scene2d){var c=u(t,\"gl2d\",o);0===c.length&&(s._scene2d.destroy(),delete n._plots[o])}}l.clean.apply(this,arguments)},r.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){e._plots[r[n]]._scene2d.updateFx(e.dragmode)}}},{\"../../components/fx/layout_attributes\":407,\"../../constants/xmlns_namespaces\":480,\"../../plot_api/edit_types\":536,\"../cartesian\":568,\"../cartesian/attributes\":552,\"../cartesian/constants\":561,\"../get_data\":593,\"../layout_attributes\":610,\"./scene2d\":597}],597:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../registry\"),o=t(\"../../plots/cartesian/axes\"),s=t(\"../../components/fx\"),l=t(\"../../../stackgl_modules\").gl_plot2d,c=t(\"../../../stackgl_modules\").gl_spikes2d,u=t(\"../../../stackgl_modules\").gl_select_box,f=t(\"webgl-context\"),h=t(\"./convert\"),p=t(\"./camera\"),d=t(\"../../lib/show_no_webgl_msg\"),g=t(\"../cartesian/constraints\"),m=g.enforce,v=g.clean,y=t(\"../cartesian/autorange\").doAutoRange,x=t(\"../../components/dragelement/helpers\"),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=t(\"../cartesian/constants\").SUBPLOT_PATTERN;function k(t,e){this.container=t.container,this.graphDiv=t.graphDiv,this.pixelRatio=t.plotGlPixelRatio||window.devicePixelRatio,this.id=t.id,this.staticPlot=!!t.staticPlot,this.scrollZoom=this.graphDiv._context._scrollZoom.cartesian,this.fullData=null,this.updateRefs(e),this.makeFramework(),this.stopped||(this.glplotOptions=h(this),this.glplotOptions.merge(e),this.glplot=l(this.glplotOptions),this.camera=p(this),this.traces={},this.spikes=c(this.glplot),this.selectBox=u(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}e.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=f({canvas:n,preserveDrawingBuffer:!1,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"Error creating static canvas/context for image server\");this.canvas=n,this.gl=i}else{var t=this.container.querySelector(\".gl-canvas-focus\"),e=f({canvas:t,preserveDrawingBuffer:!0,premultipliedAlpha:!0});if(!e)return d(this),void(this.stopped=!0);this.canvas=t,this.gl=e}var r=this.canvas;r.style.width=\"100%\",r.style.height=\"100%\",r.style.position=\"absolute\",r.style.top=\"0px\",r.style.left=\"0px\",r.style[\"pointer-events\"]=\"none\",this.updateSize(r);var a=this.svgContainer=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");a.style.position=\"absolute\",a.style.top=a.style.left=\"0px\",a.style.width=a.style.height=\"100%\",a.style[\"z-index\"]=20,a.style[\"pointer-events\"]=\"none\";var o=this.mouseContainer=document.createElement(\"div\");o.style.position=\"absolute\",o.style[\"pointer-events\"]=\"auto\",this.pickCanvas=this.container.querySelector(\".gl-canvas-pick\");var s=this.container;s.appendChild(a),s.appendChild(o);var l=this;o.addEventListener(\"mouseout\",(function(){l.isMouseOver=!1,l.unhover()})),o.addEventListener(\"mouseover\",(function(){l.isMouseOver=!0}))},A.toImage=function(t){t||(t=\"png\"),this.stopped=!0,this.staticPlot&&this.container.appendChild(n),this.updateSize(this.canvas);var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.clearColor(1,1,1,0),e.clear(e.COLOR_BUFFER_BIT|e.DEPTH_BUFFER_BIT),this.glplot.setDirty(),this.glplot.draw(),e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a);for(var o=0,s=i-1;o<s;++o,--s)for(var l=0;l<r;++l)for(var c=0;c<4;++c){var u=a[4*(r*o+l)+c];a[4*(r*o+l)+c]=a[4*(r*s+l)+c],a[4*(r*s+l)+c]=u}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\"),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var c=n[r._name];c.range=s,c.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};v(s,this.xaxis),v(s,this.yaxis);var l,c,u=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[u.l+f[0]*u.w,u.b+h[0]*u.h,i-u.r-(1-f[1])*u.w,a-u.t-(1-h[1])*u.h],this.mouseContainer.style.width=u.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=u.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=u.h*(h[1]-h[0]),this.mouseContainer.style.left=u.l+f[0]*u.w+\"px\",this.mouseContainer.style.top=u.t+(1-h[1])*u.h+\"px\",c=0;c<2;++c)(l=this[w[c]])._length=o.viewBox[c+2]-o.viewBox[c],y(this.graphDiv,l),l.setScale();m(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],c=this.traces[i.uid];c?c.update(i,l):(c=i._module.plot(this,i,l),this.traces[i.uid]=c)}this.glplot.objects.sort((function(t,e){return t._trace.index-e._trace.index}))},A.updateFx=function(t){_(t)||b(t)?(this.pickCanvas.style[\"pointer-events\"]=\"none\",this.mouseContainer.style[\"pointer-events\"]=\"none\"):(this.pickCanvas.style[\"pointer-events\"]=\"auto\",this.mouseContainer.style[\"pointer-events\"]=\"auto\"),this.mouseContainer.style.cursor=\"pan\"===t?\"move\":\"zoom\"===t?\"crosshair\":null},A.emitPointAction=function(t,e){for(var r,n=t.trace.uid,i=t.pointIndex,a=0;a<this.fullData.length;a++)this.fullData[a].uid===n&&(r=this.fullData[a]);var o={x:t.traceCoord[0],y:t.traceCoord[1],curveNumber:r.index,pointNumber:i,data:r._input,fullData:this.fullData,xaxis:this.xaxis,yaxis:this.yaxis};s.appendArrayPointValue(o,r,i),this.graphDiv.emit(e,{points:[o]})},A.draw=function(){if(!this.stopped){requestAnimationFrame(this.redraw);var t=this.glplot,e=this.camera,r=e.mouseListener,n=1===this.lastButtonState&&0===r.buttons,i=this.fullLayout;this.lastButtonState=r.buttons,this.cameraChanged();var a,o=r.x*t.pixelRatio,l=this.canvas.height-t.pixelRatio*r.y;if(e.boxEnabled&&\"zoom\"===i.dragmode){this.selectBox.enabled=!0;for(var c=this.selectBox.selectBox=[Math.min(e.boxStart[0],e.boxEnd[0]),Math.min(e.boxStart[1],e.boxEnd[1]),Math.max(e.boxStart[0],e.boxEnd[0]),Math.max(e.boxStart[1],e.boxEnd[1])],u=0;u<2;u++)e.boxStart[u]===e.boxEnd[u]&&(c[u]=t.dataBox[u],c[u+2]=t.dataBox[u+2]);t.setDirty()}else if(!e.panning&&this.isMouseOver){this.selectBox.enabled=!1;var f=i._size,h=this.xaxis.domain,p=this.yaxis.domain,d=(a=t.pick(o/t.pixelRatio+f.l+h[0]*f.w,l/t.pixelRatio-(f.t+(1-p[1])*f.h)))&&a.object._trace.handlePick(a);if(d&&n&&this.emitPointAction(d,\"plotly_click\"),a&&\"skip\"!==a.object._trace.hoverinfo&&i.hovermode&&d&&(!this.lastPickResult||this.lastPickResult.traceUid!==d.trace.uid||this.lastPickResult.dataCoord[0]!==d.dataCoord[0]||this.lastPickResult.dataCoord[1]!==d.dataCoord[1])){var g=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),g.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var m=this.fullData[g.trace.index]||{},v=g.pointIndex,y=s.castHoverinfo(m,i,v);if(y&&\"all\"!==y){var x=y.split(\"+\");-1===x.indexOf(\"x\")&&(g.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(g.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(g.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(g.textLabel=void 0),-1===x.indexOf(\"name\")&&(g.name=void 0)}s.loneHover({x:g.screenCoord[0],y:g.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",g.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",g.traceCoord[1]),zLabel:g.traceCoord[2],text:g.textLabel,name:g.name,color:s.castHoverOption(m,v,\"bgcolor\")||g.color,borderColor:s.castHoverOption(m,v,\"bordercolor\"),fontFamily:s.castHoverOption(m,v,\"font.family\"),fontSize:s.castHoverOption(m,v,\"font.size\"),fontColor:s.castHoverOption(m,v,\"font.color\"),nameLength:s.castHoverOption(m,v,\"namelength\"),textAlign:s.castHoverOption(m,v,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},{\"../../../stackgl_modules\":1120,\"../../components/dragelement/helpers\":384,\"../../components/fx\":406,\"../../lib/show_no_webgl_msg\":525,\"../../plots/cartesian/axes\":554,\"../../registry\":638,\"../cartesian/autorange\":553,\"../cartesian/constants\":561,\"../cartesian/constraints\":562,\"./camera\":594,\"./convert\":595,\"webgl-context\":331}],598:[function(t,e,r){\"use strict\";var n=t(\"../../plot_api/edit_types\").overrideAll,i=t(\"../../components/fx/layout_attributes\"),a=t(\"./scene\"),o=t(\"../get_data\").getSubplotData,s=t(\"../../lib\"),l=t(\"../../constants/xmlns_namespaces\");r.name=\"gl3d\",r.attr=\"scene\",r.idRoot=\"scene\",r.idRegex=r.attrRegex=s.counterRegex(\"scene\"),r.attributes=t(\"./layout/attributes\"),r.layoutAttributes=t(\"./layout/layout_attributes\"),r.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),r.supplyLayoutDefaults=t(\"./layout/defaults\"),r.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,\"gl3d\",s),c=e[s],u=c.camera,f=c._scene;f||(f=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:u},e),c._scene=f),f.viewInitial||(f.viewInitial={up:{x:u.up.x,y:u.up.y,z:u.up.z},eye:{x:u.eye.x,y:u.eye.y,z:u.eye.z},center:{x:u.center.x,y:u.center.y,z:u.center.z}}),f.plot(l,e,t.layout)}},r.clean=function(t,e,r,n){for(var i=n._subplots.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},r.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,c=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":c,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},r.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),\"scene\"+e}},r.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++){e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}}},{\"../../components/fx/layout_attributes\":407,\"../../constants/xmlns_namespaces\":480,\"../../lib\":503,\"../../plot_api/edit_types\":536,\"../get_data\":593,\"./layout/attributes\":599,\"./layout/defaults\":603,\"./layout/layout_attributes\":604,\"./scene\":608}],599:[function(t,e,r){\"use strict\";e.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},{}],600:[function(t,e,r){\"use strict\";var n=t(\"../../../components/color\"),i=t(\"../../cartesian/layout_attributes\"),a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../plot_api/edit_types\").overrideAll;e.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},{\"../../../components/color\":366,\"../../../lib/extend\":493,\"../../../plot_api/edit_types\":536,\"../../cartesian/layout_attributes\":569}],601:[function(t,e,r){\"use strict\";var n=t(\"tinycolor2\").mix,i=t(\"../../../lib\"),a=t(\"../../../plot_api/plot_template\"),o=t(\"./axis_attributes\"),s=t(\"../../cartesian/type_defaults\"),l=t(\"../../cartesian/axis_defaults\"),c=[\"xaxis\",\"yaxis\",\"zaxis\"];e.exports=function(t,e,r){var u,f;function h(t,e){return i.coerce(u,f,o,t,e)}for(var p=0;p<c.length;p++){var d=c[p];u=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(u,f,h,r),l(u,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,13600/187).toRgbString()),h(\"title.text\",d[0]),f.setScale=i.noop,h(\"showspikes\")&&(h(\"spikesides\"),h(\"spikethickness\"),h(\"spikecolor\",f.color)),h(\"showaxeslabels\"),h(\"showbackground\")&&h(\"backgroundcolor\")}}},{\"../../../lib\":503,\"../../../plot_api/plot_template\":543,\"../../cartesian/axis_defaults\":556,\"../../cartesian/type_defaults\":582,\"./axis_attributes\":600,tinycolor2:312}],602:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=0;r<3;++r){var o=e[a[r]];o.visible?(this.labels[r]=t._meta?i.templateString(o.title.text,t._meta):o.title.text,\"font\"in o.title&&(o.title.font.color&&(this.labelColor[r]=n(o.title.font.color)),o.title.font.family&&(this.labelFont[r]=o.title.font.family),o.title.font.size&&(this.labelSize[r]=o.title.font.size)),\"showline\"in o&&(this.lineEnable[r]=o.showline),\"linecolor\"in o&&(this.lineColor[r]=n(o.linecolor)),\"linewidth\"in o&&(this.lineWidth[r]=o.linewidth),\"showgrid\"in o&&(this.gridEnable[r]=o.showgrid),\"gridcolor\"in o&&(this.gridColor[r]=n(o.gridcolor)),\"gridwidth\"in o&&(this.gridWidth[r]=o.gridwidth),\"log\"===o.type?this.zeroEnable[r]=!1:\"zeroline\"in o&&(this.zeroEnable[r]=o.zeroline),\"zerolinecolor\"in o&&(this.zeroLineColor[r]=n(o.zerolinecolor)),\"zerolinewidth\"in o&&(this.zeroLineWidth[r]=o.zerolinewidth),\"ticks\"in o&&o.ticks?this.lineTickEnable[r]=!0:this.lineTickEnable[r]=!1,\"ticklen\"in o&&(this.lineTickLength[r]=this._defaultLineTickLength[r]=o.ticklen),\"tickcolor\"in o&&(this.lineTickColor[r]=n(o.tickcolor)),\"tickwidth\"in o&&(this.lineTickWidth[r]=o.tickwidth),\"tickangle\"in o&&(this.tickAngle[r]=\"auto\"===o.tickangle?-3600:Math.PI*-o.tickangle/180),\"showticklabels\"in o&&(this.tickEnable[r]=o.showticklabels),\"tickfont\"in o&&(o.tickfont.color&&(this.tickColor[r]=n(o.tickfont.color)),o.tickfont.family&&(this.tickFont[r]=o.tickfont.family),o.tickfont.size&&(this.tickSize[r]=o.tickfont.size)),\"mirror\"in o?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(o.mirror)?(this.lineTickMirror[r]=!0,this.lineMirror[r]=!0):!0===o.mirror?(this.lineTickMirror[r]=!1,this.lineMirror[r]=!0):(this.lineTickMirror[r]=!1,this.lineMirror[r]=!1):this.lineMirror[r]=!1,\"showbackground\"in o&&!1!==o.showbackground?(this.backgroundEnable[r]=!0,this.backgroundColor[r]=n(o.backgroundcolor)):this.backgroundEnable[r]=!1):(this.tickEnable[r]=!1,this.labelEnable[r]=!1,this.lineEnable[r]=!1,this.lineTickEnable[r]=!1,this.gridEnable[r]=!1,this.zeroEnable[r]=!1,this.backgroundEnable[r]=!1)}},e.exports=function(t,e){var r=new o;return r.merge(t,e),r}},{\"../../../lib\":503,\"../../../lib/str2rgbarray\":528}],603:[function(t,e,r){\"use strict\";var n=t(\"../../../lib\"),i=t(\"../../../components/color\"),a=t(\"../../../registry\"),o=t(\"../../subplot_defaults\"),s=t(\"./axis_defaults\"),l=t(\"./layout_attributes\"),c=t(\"../../get_data\").getSubplotData;function u(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),u=[\"up\",\"center\",\"eye\"],f=0;f<u.length;f++)r(\"camera.\"+u[f]+\".x\"),r(\"camera.\"+u[f]+\".y\"),r(\"camera.\"+u[f]+\".z\");r(\"camera.projection.type\");var h=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),p=r(\"aspectmode\",h?\"manual\":\"auto\");h||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===p&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var d=c(n.fullData,\"gl3d\",n.id);s(t,e,{font:n.font,scene:n.id,data:d,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var m=t.camera.up.x,v=t.camera.up.y,y=t.camera.up.z;0!==y&&(m&&v&&y?y/Math.sqrt(m*m+v*v+y*y)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}e.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:\"gl3d\",attributes:l,handleDefaults:u,fullLayout:e,font:e.font,fullData:r,getDfltFromLayout:function(e){if(!i)return n.validate(t[e],l[e])?t[e]:void 0},autotypenumbersDflt:e.autotypenumbers,paper_bgcolor:e.paper_bgcolor,calendar:e.calendar})}},{\"../../../components/color\":366,\"../../../lib\":503,\"../../../registry\":638,\"../../get_data\":593,\"../../subplot_defaults\":632,\"./axis_defaults\":601,\"./layout_attributes\":604}],604:[function(t,e,r){\"use strict\";var n=t(\"./axis_attributes\"),i=t(\"../../domain\").attributes,a=t(\"../../../lib/extend\").extendFlat,o=t(\"../../../lib\").counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}e.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},{\"../../../lib\":503,\"../../../lib/extend\":493,\"../../domain\":584,\"./axis_attributes\":600}],605:[function(t,e,r){\"use strict\";var n=t(\"../../../lib/str2rgbarray\"),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},e.exports=function(t){var e=new a;return e.merge(t),e}},{\"../../../lib/str2rgbarray\":528}],606:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],c=0;c<3;++c){var u=s[a[c]];if(u._length=(r[c].hi-r[c].lo)*r[c].pixelsPerDataUnit/t.dataScale[c],Math.abs(u._length)===1/0||isNaN(u._length))l[c]=[];else{u._input_range=u.range.slice(),u.range[0]=r[c].lo/t.dataScale[c],u.range[1]=r[c].hi/t.dataScale[c],u._m=1/(t.dataScale[c]*r[c].pixelsPerDataUnit),u.range[0]===u.range[1]&&(u.range[0]-=1,u.range[1]+=1);var f=u.tickmode;if(\"auto\"===u.tickmode){u.tickmode=\"linear\";var h=u.nticks||i.constrain(u._length/40,4,9);n.autoTicks(u,Math.abs(u.range[1]-u.range[0])/h)}for(var p=n.calcTicks(u,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[c],\"date\"===u.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[c]=p,u.tickmode=f}}e.ticks=l;for(c=0;c<3;++c){o[c]=.5*(t.glplot.bounds[0][c]+t.glplot.bounds[1][c]);for(d=0;d<2;++d)e.bounds[d][c]=t.glplot.bounds[d][c]}t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=t(\"../../cartesian/axes\"),i=t(\"../../../lib\"),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},{\"../../../lib\":503,\"../../cartesian/axes\":554}],607:[function(t,e,r){\"use strict\";function n(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}e.exports=function(t,e){return n(t.projection,n(t.view,n(t.model,[e[0],e[1],e[2],1])))}},{}],608:[function(t,e,r){\"use strict\";var n,i,a=t(\"../../../stackgl_modules\").gl_plot3d,o=a.createCamera,s=a.createScene,l=t(\"webgl-context\"),c=t(\"has-passive-events\"),u=t(\"../../registry\"),f=t(\"../../lib\"),h=f.preserveDrawingBuffer(),p=t(\"../../plots/cartesian/axes\"),d=t(\"../../components/fx\"),g=t(\"../../lib/str2rgbarray\"),m=t(\"../../lib/show_no_webgl_msg\"),v=t(\"./project\"),y=t(\"./layout/convert\"),x=t(\"./layout/spikes\"),b=t(\"./layout/tick_marks\");function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=y(e,e[this.id]),this.spikeOptions=x(e[this.id]),this.container=r,this.staticMode=!!t.staticPlot,this.pixelRatio=this.pixelRatio||t.plotGlPixelRatio||2,this.dataScale=[1,1,1],this.contourLevels=[[],[],[]],this.convertAnnotations=u.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=u.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var w=_.prototype;w.prepareOptions=function(){var t={canvas:this.canvas,gl:this.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:this.container,axes:this.axesOptions,spikes:this.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:this.camera,pixelRatio:this.pixelRatio};if(this.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");t.gl=i,t.canvas=n}return t};var T=!0;w.tryCreatePlot=function(){var t=this.prepareOptions(),e=!0;try{this.glplot=s(t)}catch(r){if(this.staticMode||!T||h)e=!1;else{f.warn([\"webgl setup failed possibly due to\",\"false preserveDrawingBuffer config.\",\"The mobile/tablet device may not be detected by is-mobile module.\",\"Enabling preserveDrawingBuffer in second attempt to create webgl scene...\"].join(\" \"));try{h=t.glOptions.preserveDrawingBuffer=!0,this.glplot=s(t)}catch(r){h=t.glOptions.preserveDrawingBuffer=!1,e=!1}}}return T=!1,e},w.initializeGLCamera=function(){var t=this.fullSceneLayout.camera,e=\"orthographic\"===t.projection.type;this.camera=o(this.container,{center:[t.center.x,t.center.y,t.center.z],eye:[t.eye.x,t.eye.y,t.eye.z],up:[t.up.x,t.up.y,t.up.z],_ortho:e,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},w.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return m(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!c&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},w.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var c=Object.keys(e.traces),u=null,h=e.glplot.selection,g=0;g<c.length;++g)\"skip\"!==(t=e.traces[c[g]]).data.hoverinfo&&t.handlePick(h)&&(u=t),t.setContourLevels&&t.setContourLevels();function m(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==u){var y=v(e.glplot.cameraParams,h.dataCoordinate);t=u.data;var x,_=r._fullData[t.index],w=h.index,T={xLabel:m(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:m(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:m(\"z\",h.traceCoordinate[2],t.zhoverformat)},k=d.castHoverinfo(_,e.fullLayout,w),A=(k||\"\").split(\"+\"),M=k&&\"all\"===k;_.hovertemplate||M||(-1===A.indexOf(\"x\")&&(T.xLabel=void 0),-1===A.indexOf(\"y\")&&(T.yLabel=void 0),-1===A.indexOf(\"z\")&&(T.zLabel=void 0),-1===A.indexOf(\"text\")&&(h.textLabel=void 0),-1===A.indexOf(\"name\")&&(u.name=void 0));var S=[];\"cone\"===t.type||\"streamtube\"===t.type?(T.uLabel=m(\"x\",h.traceCoordinate[3],t.uhoverformat),(M||-1!==A.indexOf(\"u\"))&&S.push(\"u: \"+T.uLabel),T.vLabel=m(\"y\",h.traceCoordinate[4],t.vhoverformat),(M||-1!==A.indexOf(\"v\"))&&S.push(\"v: \"+T.vLabel),T.wLabel=m(\"z\",h.traceCoordinate[5],t.whoverformat),(M||-1!==A.indexOf(\"w\"))&&S.push(\"w: \"+T.wLabel),T.normLabel=h.traceCoordinate[6].toPrecision(3),(M||-1!==A.indexOf(\"norm\"))&&S.push(\"norm: \"+T.normLabel),\"streamtube\"===t.type&&(T.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(M||-1!==A.indexOf(\"divergence\"))&&S.push(\"divergence: \"+T.divergenceLabel)),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(T.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),S.push(\"value: \"+T.valueLabel),h.textLabel&&S.push(h.textLabel),x=S.join(\"<br>\")):x=h.textLabel;var E={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:w};d.appendArrayPointValue(E,_,w),t._module.eventData&&(E=_._module.eventData(E,h,_,{},w));var L={points:[E]};if(e.fullSceneLayout.hovermode){var C=[];d.loneHover({trace:_,x:(.5+.5*y[0]/y[3])*s,y:(.5-.5*y[1]/y[3])*l,xLabel:T.xLabel,yLabel:T.yLabel,zLabel:T.zLabel,text:x,name:u.name,color:d.castHoverOption(_,w,\"bgcolor\")||u.color,borderColor:d.castHoverOption(_,w,\"bordercolor\"),fontFamily:d.castHoverOption(_,w,\"font.family\"),fontSize:d.castHoverOption(_,w,\"font.size\"),fontColor:d.castHoverOption(_,w,\"font.color\"),nameLength:d.castHoverOption(_,w,\"namelength\"),textAlign:d.castHoverOption(_,w,\"align\"),hovertemplate:f.castOption(_,w,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},E,T),eventData:[E]},{container:n,gd:r,inOut_bbox:C}),E.bbox=C[0]}h.buttons&&h.distance<5?r.emit(\"plotly_click\",L):r.emit(\"plotly_hover\",L),this.oldEventData=L}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},w.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var k=[\"xaxis\",\"yaxis\",\"zaxis\"];function A(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=k[i],o=a.charAt(0),s=n[a],l=e[o],c=e[o+\"calendar\"],u=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(u||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else h=s.d2l(l[p],0,c),!isNaN(h)&&isFinite(h)&&(r[0][i]=Math.min(r[0][i],h),r[1][i]=Math.max(r[1][i],h));else r[0][i]=Math.min(r[0][i],0),r[1][i]=Math.max(r[1][i],u-1)}}w.plot=function(t,e,r){if(this.plotArgs=[t,e,r],!this.glplot.contextLost){var n,i,a,o,s,l,c=e[this.id],u=r[this.id];this.fullLayout=e,this.fullSceneLayout=c,this.axesOptions.merge(e,c),this.spikeOptions.merge(c),this.setViewport(c),this.updateFx(c.dragmode,c.hovermode),this.camera.enableWheel=this.graphDiv._context._scrollZoom.gl3d,this.glplot.setClearColor(g(c.bgcolor)),this.setConvert(s),t?Array.isArray(t)||(t=[t]):t=[];var f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&A(this,n,f);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=k[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var c=n[l];if(c.visible){var u=s.r2l(c[o]);!isNaN(u)&&isFinite(u)&&(e[0][i]=Math.min(e[0][i],u),e[1][i]=Math.max(e[1][i],u))}}}(this,f);var h=[1,1,1];for(o=0;o<3;++o)f[1][o]===f[0][o]?h[o]=1:h[o]=1/(f[1][o]-f[0][o]);for(this.dataScale=h,this.convertAnnotations(this),a=0;a<t.length;++a)!0===(n=t[a]).visible&&0!==n._length&&((i=this.traces[n.uid])?i.data.type===n.type?i.update(n):(i.dispose(),i=n._module.plot(this,n),this.traces[n.uid]=i):(i=n._module.plot(this,n),this.traces[n.uid]=i),i.name=n.name);var p=Object.keys(this.traces);t:for(a=0;a<p.length;++a){for(o=0;o<t.length;++o)if(t[o].uid===p[a]&&!0===t[o].visible&&0!==t[o]._length)continue t;(i=this.traces[p[a]]).dispose(),delete this.traces[p[a]]}this.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var d,m=[[0,0,0],[0,0,0]],v=[],y={};for(a=0;a<3;++a){if((l=(s=c[k[a]]).type)in y?(y[l].acc*=h[a],y[l].count+=1):y[l]={acc:h[a],count:1},s.autorange){m[0][a]=1/0,m[1][a]=-1/0;var x=this.glplot.objects,b=this.fullSceneLayout.annotations||[],_=s._name.charAt(0);for(o=0;o<x.length;o++){var w=x[o],T=w.bounds,M=w._trace.data._pad||0;\"ErrorBars\"===w.constructor.name&&s._lowerLogErrorBound?m[0][a]=Math.min(m[0][a],s._lowerLogErrorBound):m[0][a]=Math.min(m[0][a],T[0][a]/h[a]-M),m[1][a]=Math.max(m[1][a],T[1][a]/h[a]+M)}for(o=0;o<b.length;o++){var S=b[o];if(S.visible){var E=s.r2l(S[_]);m[0][a]=Math.min(m[0][a],E),m[1][a]=Math.max(m[1][a],E)}}if(\"rangemode\"in s&&\"tozero\"===s.rangemode&&(m[0][a]=Math.min(m[0][a],0),m[1][a]=Math.max(m[1][a],0)),m[0][a]>m[1][a])m[0][a]=-1,m[1][a]=1;else{var L=m[1][a]-m[0][a];m[0][a]-=L/32,m[1][a]+=L/32}if(\"reversed\"===s.autorange){var C=m[0][a];m[0][a]=m[1][a],m[1][a]=C}}else{var P=s.range;m[0][a]=s.r2l(P[0]),m[1][a]=s.r2l(P[1])}m[0][a]===m[1][a]&&(m[0][a]-=1,m[1][a]+=1),v[a]=m[1][a]-m[0][a],this.glplot.setBounds(a,{min:m[0][a]*h[a],max:m[1][a]*h[a]})}var I=c.aspectmode;if(\"cube\"===I)d=[1,1,1];else if(\"manual\"===I){var O=c.aspectratio;d=[O.x,O.y,O.z]}else{if(\"auto\"!==I&&\"data\"!==I)throw new Error(\"scene.js aspectRatio was not one of the enumerated types\");var z=[1,1,1];for(a=0;a<3;++a){var D=y[l=(s=c[k[a]]).type];z[a]=Math.pow(D.acc,1/D.count)/h[a]}d=\"data\"===I||Math.max.apply(null,z)/Math.min.apply(null,z)<=4?z:[1,1,1]}c.aspectratio.x=u.aspectratio.x=d[0],c.aspectratio.y=u.aspectratio.y=d[1],c.aspectratio.z=u.aspectratio.z=d[2],this.glplot.setAspectratio(c.aspectratio),this.viewInitial.aspectratio||(this.viewInitial.aspectratio={x:c.aspectratio.x,y:c.aspectratio.y,z:c.aspectratio.z}),this.viewInitial.aspectmode||(this.viewInitial.aspectmode=c.aspectmode);var R=c.domain||null,F=e._size||null;if(R&&F){var B=this.container.style;B.position=\"absolute\",B.left=F.l+R.x[0]*F.w+\"px\",B.top=F.t+(1-R.y[1])*F.h+\"px\",B.width=F.w*(R.x[1]-R.x[0])+\"px\",B.height=F.h*(R.y[1]-R.y[0])+\"px\"}this.glplot.redraw()}},w.destroy=function(){this.glplot&&(this.camera.mouseListener.enabled=!1,this.container.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null,this.glplot.dispose(),this.container.parentNode.removeChild(this.container),this.glplot=null)},w.getCamera=function(){var t;return this.camera.view.recalcMatrix(this.camera.view.lastT()),{up:{x:(t=this.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},w.setViewport=function(t){var e,r=t.camera;this.camera.lookAt.apply(this,[[(e=r).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),this.glplot.setAspectratio(t.aspectratio),\"orthographic\"===r.projection.type!==this.camera._ortho&&(this.glplot.redraw(),this.glplot.clearRGBA(),this.glplot.dispose(),this.initializeGLPlot())},w.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var i=[\"up\",\"center\",\"eye\"],a=[\"x\",\"y\",\"z\"];return e[i[r]]&&t[i[r]][a[n]]===e[i[r]][a[n]]}var i=!1;if(void 0===r)i=!0;else{for(var a=0;a<3;a++)for(var o=0;o<3;o++)if(!n(e,r,a,o)){i=!0;break}(!r.projection||e.projection&&e.projection.type!==r.projection.type)&&(i=!0)}return i},w.isAspectChanged=function(t){var e=this.glplot.getAspectratio(),r=f.nestedProperty(t,this.id+\".aspectratio\").get();return void 0===r||r.x!==e.x||r.y!==e.y||r.z!==e.z},w.saveLayout=function(t){var e,r,n,i,a,o,s=this.fullLayout,l=this.isCameraChanged(t),c=this.isAspectChanged(t),h=l||c;if(h){var p={};if(l&&(e=this.getCamera(),n=(r=f.nestedProperty(t,this.id+\".camera\")).get(),p[this.id+\".camera\"]=n),c&&(i=this.glplot.getAspectratio(),o=(a=f.nestedProperty(t,this.id+\".aspectratio\")).get(),p[this.id+\".aspectratio\"]=o),u.call(\"_storeDirectGUIEdit\",t,s._preGUI,p),l)r.set(e),f.nestedProperty(s,this.id+\".camera\").set(e);if(c)a.set(i),f.nestedProperty(s,this.id+\".aspectratio\").set(i),this.glplot.redraw()}return h},w.updateFx=function(t,e){var r=this.camera;if(r)if(\"orbit\"===t)r.mode=\"orbit\",r.keyBindingMode=\"rotate\";else if(\"turntable\"===t){r.up=[0,0,1],r.mode=\"turntable\",r.keyBindingMode=\"rotate\";var n=this.graphDiv,i=n._fullLayout,a=this.fullSceneLayout.camera,o=a.up.x,s=a.up.y,l=a.up.z;if(l/Math.sqrt(o*o+s*s+l*l)<.999){var c=this.id+\".camera.up\",h={x:0,y:0,z:1},p={};p[c]=h;var d=n.layout;u.call(\"_storeDirectGUIEdit\",d,i._preGUI,p),a.up=h,f.nestedProperty(d,c).set(h)}}else r.keyBindingMode=t;this.fullSceneLayout.hovermode=e},w.toImage=function(t){t||(t=\"png\"),this.staticMode&&this.container.appendChild(n),this.glplot.redraw();var e=this.glplot.gl,r=e.drawingBufferWidth,i=e.drawingBufferHeight;e.bindFramebuffer(e.FRAMEBUFFER,null);var a=new Uint8Array(r*i*4);e.readPixels(0,0,r,i,e.RGBA,e.UNSIGNED_BYTE,a),function(t,e,r){for(var n=0,i=r-1;n<i;++n,--i)for(var a=0;a<e;++a)for(var o=0;o<4;++o){var s=4*(e*n+a)+o,l=4*(e*i+a)+o,c=t[s];t[s]=t[l],t[l]=c}}(a,r,i),function(t,e,r){for(var n=0;n<r;++n)for(var i=0;i<e;++i){var a=4*(e*n+i),o=t[a+3];if(o>0)for(var s=255/o,l=0;l<3;++l)t[a+l]=Math.min(s*t[a+l],255)}}(a,r,i);var o=document.createElement(\"canvas\");o.width=r,o.height=i;var 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n=t(\"../../lib/sort_object_keys\"),i='\\xa9 <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">OpenStreetMap</a> contributors',a=['\\xa9 <a target=\"_blank\" href=\"https://carto.com/\">Carto</a>',i].join(\" \"),o=['Map tiles by <a target=\"_blank\" href=\"https://stamen.com\">Stamen Design</a>','under <a target=\"_blank\" href=\"https://creativecommons.org/licenses/by/3.0\">CC BY 3.0</a>',\"|\",'Data by <a target=\"_blank\" href=\"https://openstreetmap.org\">OpenStreetMap</a> contributors','under <a target=\"_blank\" href=\"https://www.openstreetmap.org/copyright\">ODbL</a>'].join(\" 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g=c.select(s._subplot.div);if(!(null===g.select(\".mapboxgl-ctrl-logo\").node().offsetParent)){var m=e._glimages.append(\"g\");m.attr(\"transform\",a(n.l+n.w*h.x[0]+10,n.t+n.h*(1-h.y[0])-31)),m.append(\"path\").attr(\"d\",p.mapboxLogo.path0).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"}),m.append(\"path\").attr(\"d\",p.mapboxLogo.path1).style(\"opacity\",.35).style(\"enable-background\",\"new\"),m.append(\"path\").attr(\"d\",p.mapboxLogo.path2).style(\"opacity\",.35).style(\"enable-background\",\"new\"),m.append(\"polygon\").attr(\"points\",p.mapboxLogo.polygon).style({opacity:.9,fill:\"#ffffff\",\"enable-background\":\"new\"})}var v=g.select(\".mapboxgl-ctrl-attrib\").text().replace(\"Improve this map\",\"\"),y=e._glimages.append(\"g\"),x=y.append(\"text\");x.text(v).classed(\"static-attribution\",!0).attr({\"font-size\":12,\"font-family\":\"Arial\",color:\"rgba(0, 0, 0, 0.75)\",\"text-anchor\":\"end\",\"data-unformatted\":v});var 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n=t(\"../../lib\"),i=t(\"../../lib/svg_text_utils\").sanitizeHTML,a=t(\"./convert_text_opts\"),o=t(\"./constants\");function s(t,e){this.subplot=t,this.uid=t.uid+\"-\"+e,this.index=e,this.idSource=\"source-\"+this.uid,this.idLayer=o.layoutLayerPrefix+this.uid,this.sourceType=null,this.source=null,this.layerType=null,this.below=null,this.visible=!1}var l=s.prototype;function c(t){if(!t.visible)return!1;var e=t.source;if(Array.isArray(e)&&e.length>0){for(var r=0;r<e.length;r++)if(\"string\"!=typeof e[r]||0===e[r].length)return!1;return!0}return n.isPlainObject(e)||\"string\"==typeof e&&e.length>0}function u(t){var e={},r={};switch(t.type){case\"circle\":n.extendFlat(r,{\"circle-radius\":t.circle.radius,\"circle-color\":t.color,\"circle-opacity\":t.opacity});break;case\"line\":n.extendFlat(r,{\"line-width\":t.line.width,\"line-color\":t.color,\"line-opacity\":t.opacity,\"line-dasharray\":t.line.dash});break;case\"fill\":n.extendFlat(r,{\"fill-color\":t.color,\"fill-outline-color\":t.fill.outlinecolor,\"fill-opacity\":t.opacity});break;case\"symbol\":var i=t.symbol,o=a(i.textposition,i.iconsize);n.extendFlat(e,{\"icon-image\":i.icon+\"-15\",\"icon-size\":i.iconsize/10,\"text-field\":i.text,\"text-size\":i.textfont.size,\"text-anchor\":o.anchor,\"text-offset\":o.offset,\"symbol-placement\":i.placement}),n.extendFlat(r,{\"icon-color\":t.color,\"text-color\":i.textfont.color,\"text-opacity\":t.opacity});break;case\"raster\":n.extendFlat(r,{\"raster-fade-duration\":0,\"raster-opacity\":t.opacity})}return{layout:e,paint:r}}l.update=function(t){this.visible?this.needsNewImage(t)?this.updateImage(t):this.needsNewSource(t)?(this.removeLayer(),this.updateSource(t),this.updateLayer(t)):this.needsNewLayer(t)?this.updateLayer(t):this.updateStyle(t):(this.updateSource(t),this.updateLayer(t)),this.visible=c(t)},l.needsNewImage=function(t){return this.subplot.map.getSource(this.idSource)&&\"image\"===this.sourceType&&\"image\"===t.sourcetype&&(this.source!==t.source||JSON.stringify(this.coordinates)!==JSON.stringify(t.coordinates))},l.needsNewSource=function(t){return this.sourceType!==t.sourcetype||JSON.stringify(this.source)!==JSON.stringify(t.source)||this.layerType!==t.type},l.needsNewLayer=function(t){return this.layerType!==t.type||this.below!==this.subplot.belowLookup[\"layout-\"+this.index]},l.lookupBelow=function(){return this.subplot.belowLookup[\"layout-\"+this.index]},l.updateImage=function(t){this.subplot.map.getSource(this.idSource).updateImage({url:t.source,coordinates:t.coordinates});var e=this.findFollowingMapboxLayerId(this.lookupBelow());null!==e&&this.subplot.map.moveLayer(this.idLayer,e)},l.updateSource=function(t){var e=this.subplot.map;if(e.getSource(this.idSource)&&e.removeSource(this.idSource),this.sourceType=t.sourcetype,this.source=t.source,c(t)){var r=function(t){var e,r=t.sourcetype,n=t.source,a={type:r};\"geojson\"===r?e=\"data\":\"vector\"===r?e=\"string\"==typeof n?\"url\":\"tiles\":\"raster\"===r?(e=\"tiles\",a.tileSize=256):\"image\"===r&&(e=\"url\",a.coordinates=t.coordinates);a[e]=n,t.sourceattribution&&(a.attribution=i(t.sourceattribution));return a}(t);e.addSource(this.idSource,r)}},l.findFollowingMapboxLayerId=function(t){if(\"traces\"===t)for(var e=this.subplot.getMapLayers(),r=0;r<e.length;r++){var n=e[r].id;if(\"string\"==typeof n&&0===n.indexOf(o.traceLayerPrefix)){t=n;break}}return t},l.updateLayer=function(t){var e=this.subplot,r=u(t),n=this.lookupBelow(),i=this.findFollowingMapboxLayerId(n);this.removeLayer(),c(t)&&e.addLayer({id:this.idLayer,source:this.idSource,\"source-layer\":t.sourcelayer||\"\",type:t.type,minzoom:t.minzoom,maxzoom:t.maxzoom,layout:r.layout,paint:r.paint},i),this.layerType=t.type,this.below=n},l.updateStyle=function(t){if(c(t)){var e=u(t);this.subplot.setOptions(this.idLayer,\"setLayoutProperty\",e.layout),this.subplot.setOptions(this.idLayer,\"setPaintProperty\",e.paint)}},l.removeLayer=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer)},l.dispose=function(){var t=this.subplot.map;t.getLayer(this.idLayer)&&t.removeLayer(this.idLayer),t.getSource(this.idSource)&&t.removeSource(this.idSource)},e.exports=function(t,e,r){var n=new s(t,e);return n.update(r),n}},{\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"./constants\":611,\"./convert_text_opts\":612}],615:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\").defaultLine,a=t(\"../domain\").attributes,o=t(\"../font_attributes\"),s=t(\"../../traces/scatter/attributes\").textposition,l=t(\"../../plot_api/edit_types\").overrideAll,c=t(\"../../plot_api/plot_template\").templatedArray,u=t(\"./constants\"),f=o({});f.family.dflt=\"Open Sans Regular, Arial Unicode MS 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n=t(\"mapbox-gl/dist/mapbox-gl-unminified\"),i=t(\"../../lib\"),a=t(\"../../lib/geo_location_utils\"),o=t(\"../../registry\"),s=t(\"../cartesian/axes\"),l=t(\"../../components/dragelement\"),c=t(\"../../components/fx\"),u=t(\"../../components/dragelement/helpers\"),f=u.rectMode,h=u.drawMode,p=u.selectMode,d=t(\"../cartesian/select\").prepSelect,g=t(\"../cartesian/select\").clearSelect,m=t(\"../cartesian/select\").clearSelectionsCache,v=t(\"../cartesian/select\").selectOnClick,y=t(\"./constants\"),x=t(\"./layers\");function b(t,e){this.id=e,this.gd=t;var r=t._fullLayout,n=t._context;this.container=r._glcontainer.node(),this.isStatic=n.staticPlot,this.uid=r._uid+\"-\"+this.id,this.div=null,this.xaxis=null,this.yaxis=null,this.createFramework(r),this.map=null,this.accessToken=null,this.styleObj=null,this.traceHash={},this.layerList=[],this.belowLookup={},this.dragging=!1,this.wheeling=!1}var _=b.prototype;_.plot=function(t,e,r){var n,i=this,a=e[i.id];i.map&&a.accesstoken!==i.accessToken&&(i.map.remove(),i.map=null,i.styleObj=null,i.traceHash={},i.layerList=[]),n=i.map?new Promise((function(r,n){i.updateMap(t,e,r,n)})):new Promise((function(r,n){i.createMap(t,e,r,n)})),r.push(n)},_.createMap=function(t,e,r,i){var o=this,s=e[o.id],l=o.styleObj=T(s.style);o.accessToken=s.accesstoken;var c=o.map=new n.Map({container:o.div,style:l.style,center:A(s.center),zoom:s.zoom,bearing:s.bearing,pitch:s.pitch,interactive:!o.isStatic,preserveDrawingBuffer:o.isStatic,doubleClickZoom:!1,boxZoom:!1,attributionControl:!1}).addControl(new n.AttributionControl({compact:!0}));c._canvas.style.left=\"0px\",c._canvas.style.top=\"0px\",o.rejectOnError(i),o.isStatic||o.initFx(t,e);var u=[];u.push(new Promise((function(t){c.once(\"load\",t)}))),u=u.concat(a.fetchTraceGeoData(t)),Promise.all(u).then((function(){o.fillBelowLookup(t,e),o.updateData(t),o.updateLayout(e),o.resolveOnRender(r)})).catch(i)},_.updateMap=function(t,e,r,n){var i=this,o=i.map,s=e[this.id];i.rejectOnError(n);var l=[],c=T(s.style);JSON.stringify(i.styleObj)!==JSON.stringify(c)&&(i.styleObj=c,o.setStyle(c.style),i.traceHash={},l.push(new Promise((function(t){o.once(\"styledata\",t)})))),l=l.concat(a.fetchTraceGeoData(t)),Promise.all(l).then((function(){i.fillBelowLookup(t,e),i.updateData(t),i.updateLayout(e),i.resolveOnRender(r)})).catch(n)},_.fillBelowLookup=function(t,e){var r,n,i=e[this.id].layers,a=this.belowLookup={},o=!1;for(r=0;r<t.length;r++){var s=t[r][0].trace,l=s._module;\"string\"==typeof s.below?n=s.below:l.getBelow&&(n=l.getBelow(s,this)),\"\"===n&&(o=!0),a[\"trace-\"+s.uid]=n||\"\"}for(r=0;r<i.length;r++){var c=i[r];n=\"string\"==typeof c.below?c.below:o?\"traces\":\"\",a[\"layout-\"+r]=n}var u,f,h={};for(u in a)h[n=a[u]]?h[n].push(u):h[n]=[u];for(n in h){var p=h[n];if(p.length>1)for(r=0;r<p.length;r++)0===(u=p[r]).indexOf(\"trace-\")?(f=u.split(\"trace-\")[1],this.traceHash[f]&&(this.traceHash[f].below=null)):0===u.indexOf(\"layout-\")&&(f=u.split(\"layout-\")[1],this.layerList[f]&&(this.layerList[f].below=null))}};var w={choroplethmapbox:0,densitymapbox:1,scattermapbox:2};function T(t){var e={};return i.isPlainObject(t)?(e.id=t.id,e.style=t):\"string\"==typeof t?(e.id=t,-1!==y.styleValuesMapbox.indexOf(t)?e.style=k(t):y.stylesNonMapbox[t]?e.style=y.stylesNonMapbox[t]:e.style=t):(e.id=y.styleValueDflt,e.style=k(y.styleValueDflt)),e.transition={duration:0,delay:0},e}function k(t){return y.styleUrlPrefix+t+\"-\"+y.styleUrlSuffix}function A(t){return[t.lon,t.lat]}_.updateData=function(t){var e,r,n,i,a=this.traceHash,o=t.slice().sort((function(t,e){return w[t[0].trace.type]-w[e[0].trace.type]}));for(n=0;n<o.length;n++){var s=o[n],l=!1;(e=a[(r=s[0].trace).uid])&&(e.type===r.type?(e.update(s),l=!0):e.dispose()),!l&&r._module&&(a[r.uid]=r._module.plot(this,s))}var c=Object.keys(a);t:for(n=0;n<c.length;n++){var u=c[n];for(i=0;i<t.length;i++)if(u===(r=t[i][0].trace).uid)continue t;(e=a[u]).dispose(),delete a[u]}},_.updateLayout=function(t){var e=this.map,r=t[this.id];this.dragging||this.wheeling||(e.setCenter(A(r.center)),e.setZoom(r.zoom),e.setBearing(r.bearing),e.setPitch(r.pitch)),this.updateLayers(t),this.updateFramework(t),this.updateFx(t),this.map.resize(),this.gd._context._scrollZoom.mapbox?e.scrollZoom.enable():e.scrollZoom.disable()},_.resolveOnRender=function(t){var e=this.map;e.on(\"render\",(function r(){e.loaded()&&(e.off(\"render\",r),setTimeout(t,10))}))},_.rejectOnError=function(t){var e=this.map;function r(){t(new Error(y.mapOnErrorMsg))}e.once(\"error\",r),e.once(\"style.error\",r),e.once(\"source.error\",r),e.once(\"tile.error\",r),e.once(\"layer.error\",r)},_.createFramework=function(t){var e=this,r=e.div=document.createElement(\"div\");r.id=e.uid,r.style.position=\"absolute\",e.container.appendChild(r),e.xaxis={_id:\"x\",c2p:function(t){return e.project(t).x}},e.yaxis={_id:\"y\",c2p:function(t){return e.project(t).y}},e.updateFramework(t),e.mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},s.setConvert(e.mockAxis,t)},_.initFx=function(t,e){var r=this,n=r.gd,i=r.map;function a(){c.loneUnhover(e._hoverlayer)}function s(){var t=r.getView();n.emit(\"plotly_relayouting\",r.getViewEditsWithDerived(t))}i.on(\"moveend\",(function(t){if(r.map){var e=n._fullLayout;if(t.originalEvent||r.wheeling){var i=e[r.id];o.call(\"_storeDirectGUIEdit\",n.layout,e._preGUI,r.getViewEdits(i));var 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n=t(\"@plotly/d3\"),i=t(\"tinycolor2\"),a=t(\"../../registry\"),o=t(\"../../lib\"),s=o.strRotate,l=o.strTranslate,c=t(\"../../components/color\"),u=t(\"../../components/drawing\"),f=t(\"../plots\"),h=t(\"../../plots/cartesian/axes\"),p=t(\"../cartesian/set_convert\"),d=t(\"./set_convert\"),g=t(\"../cartesian/autorange\").doAutoRange,m=t(\"../cartesian/dragbox\"),v=t(\"../../components/dragelement\"),y=t(\"../../components/fx\"),x=t(\"../../components/titles\"),b=t(\"../cartesian/select\").prepSelect,_=t(\"../cartesian/select\").selectOnClick,w=t(\"../cartesian/select\").clearSelect,T=t(\"../../lib/setcursor\"),k=t(\"../../lib/clear_gl_canvases\"),A=t(\"../../plot_api/subroutines\").redrawReglTraces,M=t(\"../../constants/alignment\").MID_SHIFT,S=t(\"./constants\"),E=t(\"./helpers\"),L=t(\"../smith/helpers\"),C=L.smith,P=L.reactanceArc,I=L.resistanceArc,O=L.smithTransform,z=o._,D=o.mod,R=o.deg2rad,F=o.rad2deg;function B(t,e,r){this.isSmith=r||!1,this.id=e,this.gd=t,this._hasClipOnAxisFalse=null,this.vangles=null,this.radialAxisAngle=null,this.traceHash={},this.layers={},this.clipPaths={},this.clipIds={},this.viewInitial={};var n=t._fullLayout,i=\"clip\"+n._uid+e;this.clipIds.forTraces=i+\"-for-traces\",this.clipPaths.forTraces=n._clips.append(\"clipPath\").attr(\"id\",this.clipIds.forTraces),this.clipPaths.forTraces.append(\"path\"),this.framework=n[\"_\"+(r?\"smith\":\"polar\")+\"layer\"].append(\"g\").attr(\"class\",e),this.getHole=function(t){return this.isSmith?0:t.hole},this.getSector=function(t){return this.isSmith?[0,360]:t.sector},this.getRadial=function(t){return this.isSmith?t.realaxis:t.radialaxis},this.getAngular=function(t){return this.isSmith?t.imaginaryaxis:t.angularaxis},r||(this.radialTickLayout=null,this.angularTickLayout=null)}var N=B.prototype;function j(t){var e=t.ticks+String(t.ticklen)+String(t.showticklabels);return\"side\"in t&&(e+=t.side),e}function U(t,e){return 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z=this.pathSubplot();this.clipPaths.forTraces.select(\"path\").attr(\"d\",z).attr(\"transform\",l(P,I)),r.frontplot.attr(\"transform\",l(A,M)).call(u.setClipUrl,this._hasClipOnAxisFalse?null:this.clipIds.forTraces,this.gd),r.bg.attr(\"d\",z).attr(\"transform\",l(L,C)).call(c.fill,e.bgcolor)},N.mockAxis=function(t,e,r,n){var i=o.extendFlat({},r,n);return d(i,e,t),i},N.mockCartesianAxis=function(t,e,r){var n=this,i=n.isSmith,a=r._id,s=o.extendFlat({type:\"linear\"},r);p(s,t);var l={x:[0,2],y:[1,3]};return s.setRange=function(){var t=n.sectorBBox,r=l[a],i=n.radialAxis._rl,o=(i[1]-i[0])/(1-n.getHole(e));s.range=[t[r[0]]*o,t[r[1]]*o]},s.isPtWithinRange=\"x\"!==a||i?function(){return!0}:function(t){return n.isPtInside(t)},s.setRange(),s.setScale(),s},N.doAutoRange=function(t,e){var r=this.gd,n=this.radialAxis,i=this.getRadial(e);g(r,n);var 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n=t(\"../../components/color/attributes\"),i=t(\"../domain\").attributes,a=t(\"../cartesian/layout_attributes\"),o=t(\"../../plot_api/edit_types\").overrideAll,s=t(\"../../lib/extend\").extendFlat,l={title:{text:a.title.text,font:a.title.font},color:a.color,tickmode:a.tickmode,nticks:s({},a.nticks,{dflt:6,min:1}),tick0:a.tick0,dtick:a.dtick,tickvals:a.tickvals,ticktext:a.ticktext,ticks:a.ticks,ticklen:a.ticklen,tickwidth:a.tickwidth,tickcolor:a.tickcolor,ticklabelstep:a.ticklabelstep,showticklabels:a.showticklabels,showtickprefix:a.showtickprefix,tickprefix:a.tickprefix,showticksuffix:a.showticksuffix,ticksuffix:a.ticksuffix,showexponent:a.showexponent,exponentformat:a.exponentformat,minexponent:a.minexponent,separatethousands:a.separatethousands,tickfont:a.tickfont,tickangle:a.tickangle,tickformat:a.tickformat,tickformatstops:a.tickformatstops,hoverformat:a.hoverformat,showline:s({},a.showline,{dflt:!0}),linecolor:a.linecolor,linewidth:a.linewidth,showgrid:s({},a.showgrid,{dflt:!0}),gridcolor:a.gridcolor,gridwidth:a.gridwidth,layer:a.layer,min:{valType:\"number\",dflt:0,min:0},_deprecated:{title:a._deprecated.title,titlefont:a._deprecated.titlefont}},c=e.exports=o({domain:i({name:\"ternary\"}),bgcolor:{valType:\"color\",dflt:n.background},sum:{valType:\"number\",dflt:1,min:0},aaxis:l,baxis:l,caxis:l},\"plot\",\"from-root\");c.uirevision={valType:\"any\",editType:\"none\"},c.aaxis.uirevision=c.baxis.uirevision=c.caxis.uirevision={valType:\"any\",editType:\"none\"}},{\"../../components/color/attributes\":365,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../cartesian/layout_attributes\":569,\"../domain\":584}],636:[function(t,e,r){\"use 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r,n,i,a,o,l,p=this,d=t.domain,g=(d.x[0]+d.x[1])/2,m=(d.y[0]+d.y[1])/2,v=d.x[1]-d.x[0],y=d.y[1]-d.y[0],x=v*e.w,b=y*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=v*i/x,l=y*a/b,r=e.l+e.w*g-i/2,n=e.t+e.h*(1-m)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[g-o/2,g+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[m-l/2,m+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var 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n=t(\"../../components/fx\"),i=t(\"../../registry\"),a=t(\"../../components/color\"),o=t(\"../../lib\").fillText,s=t(\"./helpers\").getLineWidth,l=t(\"../../plots/cartesian/axes\").hoverLabelText,c=t(\"../../constants/numerical\").BADNUM;function u(t,e,r,i,a){var s,u,f,h,p,d,g,m=t.cd,v=m[0].trace,y=m[0].t,x=\"closest\"===i,b=\"waterfall\"===v.type,_=t.maxHoverDistance,w=t.maxSpikeDistance;\"h\"===v.orientation?(s=r,u=e,f=\"y\",h=\"x\",p=z,d=I):(s=e,u=r,f=\"x\",h=\"y\",d=z,p=I);var T=v[f+\"period\"],k=x||T;function A(t){return S(t,-1)}function M(t){return S(t,1)}function S(t,e){var r=t.w;return t[f]+e*r/2}function E(t){return t[f+\"End\"]-t[f+\"Start\"]}var L=x?A:T?function(t){return t.p-E(t)/2}:function(t){return Math.min(A(t),t.p-y.bardelta/2)},C=x?M:T?function(t){return t.p+E(t)/2}:function(t){return Math.max(M(t),t.p+y.bardelta/2)};function P(t,e,r){return a.finiteRange&&(r=0),n.inbox(t-s,e-s,r+Math.min(1,Math.abs(e-t)/g)-1)}function I(t){return P(L(t),C(t),_)}function O(t){var 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e=I(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},O.heightFn=function(t,e,r){var n=I(t);return-.5*(1+Math.sin(n))*r};var D=function(t){return l(b[0]+m*Math.cos(t),b[1]-m*Math.sin(t))};f=function(t){return D(I(t))};if(s=d.calcTicks(o),h=d.getTickSigns(o)[2],o.visible){h=\"inside\"===o.ticks?-1:1;var R=(o.linewidth||1)/2;d.drawTicks(t,o,{vals:s,layer:A,path:\"M\"+h*R+\",0h\"+h*o.ticklen,transFn:function(t){var e=I(t);return D(e)+\"rotate(\"+-c(e)+\")\"}}),d.drawLabels(t,o,{vals:s,layer:A,transFn:f,labelFns:O})}var F=[y].concat(p.gauge.steps),B=_.selectAll(\"g.bg-arc\").data(F);B.enter().append(\"g\").classed(\"bg-arc\",!0).append(\"path\"),B.select(\"path\").call(P).call(T),B.exit().remove();var N=C(p.gauge.bar.thickness),j=_.selectAll(\"g.value-arc\").data([p.gauge.bar]);j.enter().append(\"g\").classed(\"value-arc\",!0).append(\"path\");var U=j.select(\"path\");w(M)?(U.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){S&&S()})).each(\"interrupt\",(function(){S&&S()})).attrTween(\"d\",(V=N,H=L(r[0].lastY),q=L(r[0].y),function(){var t=i(H,q);return function(e){return V.endAngle(t(e))()}})),p._lastValue=r[0].y):U.attr(\"d\",\"number\"==typeof r[0].y?N.endAngle(L(r[0].y)):\"M0,0Z\");var V,H,q;U.call(T),j.exit().remove(),F=[];var G=p.gauge.threshold.value;(G||0===G)&&F.push({range:[G,G],color:p.gauge.threshold.color,line:{color:p.gauge.threshold.line.color,width:p.gauge.threshold.line.width},thickness:p.gauge.threshold.thickness});var Y=_.selectAll(\"g.threshold-arc\").data(F);Y.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),Y.select(\"path\").call(P).call(T),Y.exit().remove();var W=_.selectAll(\"g.gauge-outline\").data([x]);W.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),W.select(\"path\").call(P).call(T),W.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:Y,layer:W,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:m});var X=O.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=O.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,c,u=r[0].trace,f=n.gauge,p=n.layer,g=n.gaugeBg,m=n.gaugeOutline,v=n.size,x=u.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(v.l,v.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=v.h,M=u.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(u._hasNumber||u._hasDelta?1-h.bulletNumberDomainSize:1);(i=k(t,u.gauge.axis))._id=\"xbulletaxis\",i.domain=[S,E],i.setScale(),a=d.calcTicks(i),o=d.makeTransTickFn(i),s=d.getTickSigns(i)[2],c=v.t+v.h,i.visible&&(d.drawTicks(t,i,{vals:\"inside\"===i.ticks?d.clipEnds(i,a):a,layer:p,path:d.makeTickPath(i,c,s),transFn:o}),d.drawLabels(t,i,{vals:a,layer:p,transFn:o,labelFns:d.makeLabelFns(i,c)}));function L(t){t.attr(\"width\",(function(t){return Math.max(0,i.c2p(t.range[1])-i.c2p(t.range[0]))})).attr(\"x\",(function(t){return i.c2p(t.range[0])})).attr(\"y\",(function(t){return.5*(1-t.thickness)*A})).attr(\"height\",(function(t){return t.thickness*A}))}var C=[g].concat(u.gauge.steps),P=f.selectAll(\"g.bg-bullet\").data(C);P.enter().append(\"g\").classed(\"bg-bullet\",!0).append(\"rect\"),P.select(\"rect\").call(L).call(T),P.exit().remove();var I=f.selectAll(\"g.value-bullet\").data([u.gauge.bar]);I.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),I.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(b)?I.select(\"rect\").transition().duration(b.duration).ease(b.easing).each(\"end\",(function(){_&&_()})).each(\"interrupt\",(function(){_&&_()})).attr(\"width\",Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y)))):I.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(u.gauge.axis.range[1],r[0].y))):0);I.exit().remove();var O=r.filter((function(){return u.gauge.threshold.value||0===u.gauge.threshold.value})),z=f.selectAll(\"g.threshold-bullet\").data(O);z.enter().append(\"g\").classed(\"threshold-bullet\",!0).append(\"line\"),z.select(\"line\").attr(\"x1\",i.c2p(u.gauge.threshold.value)).attr(\"x2\",i.c2p(u.gauge.threshold.value)).attr(\"y1\",(1-u.gauge.threshold.thickness)/2*A).attr(\"y2\",(1-(1-u.gauge.threshold.thickness)/2)*A).call(y.stroke,u.gauge.threshold.line.color).style(\"stroke-width\",u.gauge.threshold.line.width),z.exit().remove();var D=f.selectAll(\"g.gauge-outline\").data([m]);D.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"rect\"),D.select(\"rect\").call(L).call(T),D.exit().remove()}(t,0,e,{gauge:X,layer:Z,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:m});var J=O.selectAll(\"text.title\").data(e);J.exit().remove(),J.enter().append(\"text\").classed(\"title\",!0),J.attr(\"text-anchor\",(function(){return R?x.right:x[I.title.align]})).text(I.title.text).call(f.font,I.title.font).call(p.convertToTspans,t),J.attr(\"transform\",(function(){var t,e=B.l+B.w*b[I.title.align],r=h.titlePadding,n=f.bBox(J.node());if(z){if(D)if(I.gauge.axis.visible)t=f.bBox(W.node()).top-r-n.bottom;else t=B.t+B.h/2-U/2-n.bottom-r;R&&(t=E-(n.top+n.bottom)/2,e=B.l-h.bulletPadding*B.w)}else t=I._numbersTop-r-n.bottom;return l(e,t)}))}))}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../../constants/alignment\":471,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/cartesian/axes\":554,\"../../plots/cartesian/axis_defaults\":556,\"../../plots/cartesian/layout_attributes\":569,\"../../plots/cartesian/position_defaults\":572,\"./constants\":858,\"@plotly/d3\":58,\"d3-interpolate\":116}],862:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,a=t(\"../../plots/template_attributes\").hovertemplateAttrs,o=t(\"../mesh3d/attributes\"),s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;var 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0===e.isomax||null===e.isomin?s:e.isomax,n(t,e,{vals:[e._vMin,e._vMax],containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374,\"../streamtube/calc\":1041}],864:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_mesh3d,i=t(\"../../lib/gl_format_color\").parseColorScale,a=t(\"../../lib/str2rgbarray\"),o=t(\"../../components/colorscale\").extractOpts,s=t(\"../../plots/gl3d/zip3\"),l=function(t,e){for(var r=e.length-1;r>0;r--){var n=Math.min(e[r],e[r-1]),i=Math.max(e[r],e[r-1]);if(i>n&&n<t&&t<=i)return{id:r,distRatio:(i-t)/(i-n)}}return{id:0,distRatio:0}};function c(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.data=null,this.showContour=!1}var u=c.prototype;u.handlePick=function(t){if(t.object===this.mesh){var e=t.data.index,r=this.data._meshX[e],n=this.data._meshY[e],i=this.data._meshZ[e],a=this.data._Ys.length,o=this.data._Zs.length,s=l(r,this.data._Xs).id,c=l(n,this.data._Ys).id,u=l(i,this.data._Zs).id,f=t.index=u+o*c+o*a*s;t.traceCoordinate=[this.data._meshX[f],this.data._meshY[f],this.data._meshZ[f],this.data._value[f]];var h=this.data.hovertext||this.data.text;return Array.isArray(h)&&void 0!==h[f]?t.textLabel=h[f]:h&&(t.textLabel=h),!0}},u.update=function(t){var e=this.scene,r=e.fullSceneLayout;function n(t,e,r,n){return e.map((function(e){return t.d2l(e,0,n)*r}))}this.data=h(t);var l={positions:s(n(r.xaxis,t._meshX,e.dataScale[0],t.xcalendar),n(r.yaxis,t._meshY,e.dataScale[1],t.ycalendar),n(r.zaxis,t._meshZ,e.dataScale[2],t.zcalendar)),cells:s(t._meshI,t._meshJ,t._meshK),lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:a(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading},c=o(t);l.vertexIntensity=t._meshIntensity,l.vertexIntensityBounds=[c.min,c.max],l.colormap=i(t),this.mesh.update(l)},u.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()};var f=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"];function h(t){t._meshI=[],t._meshJ=[],t._meshK=[];var e,r,n,i,a,o,s,c=t.surface.show,u=t.spaceframe.show,h=t.surface.fill,p=t.spaceframe.fill,d=!1,g=!1,m=0,v=t._Xs,y=t._Ys,x=t._Zs,b=v.length,_=y.length,w=x.length,T=f.indexOf(t._gridFill.replace(/-/g,\"\").replace(/\\+/g,\"\")),k=function(t,e,r){switch(T){case 5:return r+w*e+w*_*t;case 4:return r+w*t+w*b*e;case 3:return e+_*r+_*w*t;case 2:return e+_*t+_*b*r;case 1:return t+b*r+b*w*e;default:return t+b*e+b*_*r}},A=t._minValues,M=t._maxValues,S=t._vMin,E=t._vMax;function L(t,e,s){for(var l=o.length,c=r;c<l;c++)if(t===n[c]&&e===i[c]&&s===a[c])return c;return-1}function C(){r=e}function P(){n=[],i=[],a=[],o=[],e=0,C()}function I(t,r,s,l){return n.push(t),i.push(r),a.push(s),o.push(l),++e-1}function O(t,e,r){for(var n=[],i=0;i<t.length;i++)n[i]=t[i]*(1-r)+r*e[i];return n}function z(t){s=t}function D(t,e){return\"all\"===t||null===t||t.indexOf(e)>-1}function R(t,e){return null===t?e:t}function F(e,r,n){C();var i,a,o,l=[r],c=[n];if(s>=1)l=[r],c=[n];else if(s>0){var u=function(t,e){var 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r=t._ticktext.length;r<e.uniqueValues.length;r++)t._ticktext.push(e.uniqueValues[r])}(t,m[e])}));var v,y=e.line;y?(i(e,\"line\")&&a(t,e,{vals:e.line.color,containerStr:\"line\",cLetter:\"c\"}),v=s.tryColorscale(y)):v=l.identity;var x,b,_,w,T,k=r[0].values.length,A={},M=m.map((function(t){return t.inds}));for(g=0,x=0;x<k;x++){var S=[];for(b=0;b<M.length;b++)S.push(M[b][x]);d=p[x%p.length],g+=d;var E=(_=x,w=void 0,T=void 0,l.isArrayOrTypedArray(y.color)?T=w=y.color[_%y.color.length]:w=y.color,{color:v(w),rawColor:T}),L=S+\"-\"+E.rawColor;void 0===A[L]&&(A[L]=f(S,E.color,E.rawColor)),h(A[L],x,d)}var C,P=r.map((function(t,e){return function(t,e,r,n,i){return{dimensionInd:t,containerInd:e,displayInd:r,dimensionLabel:n,count:i,categories:[],dragX:null}}(e,t._index,t._displayindex,t.label,g)}));for(x=0;x<k;x++)for(d=p[x%p.length],b=0;b<P.length;b++){var I=P[b].containerInd,O=m[b].inds[x],z=P[b].categories;if(void 0===z[O]){var D=e.dimensions[I]._categoryarray[O],R=e.dimensions[I]._ticktext[O];z[O]={dimensionInd:b,categoryInd:C=O,categoryValue:D,displayInd:C,categoryLabel:R,valueInds:[],count:0,dragY:null}}u(z[O],x,d)}return n(function(t,e,r){var n=t.map((function(t){return t.categories.length})).reduce((function(t,e){return Math.max(t,e)}));return{dimensions:t,paths:e,trace:void 0,maxCats:n,count:r}}(P,A,g))}},{\"../../components/colorscale/calc\":374,\"../../components/colorscale/helpers\":377,\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/filter_unique.js\":494,\"../../lib/gup\":500,\"fast-isnumeric\":190}],884:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"./attributes\"),c=t(\"../parcoords/merge_length\");function u(t,e){function r(r,i){return n.coerce(t,e,l.dimensions,r,i)}var 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g={family:f.font.family,size:Math.round(f.font.size),color:f.font.color};n.coerceFont(h,\"labelfont\",g);var m={family:f.font.family,size:Math.round(f.font.size/1.2),color:f.font.color};n.coerceFont(h,\"tickfont\",m)}},{\"../../components/colorscale/defaults\":376,\"../../components/colorscale/helpers\":377,\"../../lib\":503,\"../../plots/array_container_defaults\":549,\"../../plots/domain\":584,\"../parcoords/merge_length\":897,\"./attributes\":881}],885:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcats\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":881,\"./base_plot\":882,\"./calc\":883,\"./defaults\":884,\"./plot\":887}],886:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"d3-interpolate\").interpolateNumber,a=t(\"../../plot_api/plot_api\"),o=t(\"../../components/fx\"),s=t(\"../../lib\"),l=s.strTranslate,c=t(\"../../components/drawing\"),u=t(\"tinycolor2\"),f=t(\"../../lib/svg_text_utils\");function h(t,e,r,i){var a=t.map(F.bind(0,e,r)),o=i.selectAll(\"g.parcatslayer\").data([null]);o.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",\"all\");var u=o.selectAll(\"g.trace.parcats\").data(a,p),h=u.enter().append(\"g\").attr(\"class\",\"trace parcats\");u.attr(\"transform\",(function(t){return l(t.x,t.y)})),h.append(\"g\").attr(\"class\",\"paths\");var y=u.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),p);y.attr(\"fill\",(function(t){return t.model.color}));var x=y.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);_(x),y.attr(\"d\",(function(t){return t.svgD})),x.empty()||y.sort(g),y.exit().remove(),y.on(\"mouseover\",m).on(\"mouseout\",v).on(\"click\",b),h.append(\"g\").attr(\"class\",\"dimensions\");var w=u.select(\"g.dimensions\").selectAll(\"g.dimension\").data((function(t){return t.dimensions}),p);w.enter().append(\"g\").attr(\"class\",\"dimension\"),w.attr(\"transform\",(function(t){return l(t.x,0)})),w.exit().remove();var A=w.selectAll(\"g.category\").data((function(t){return t.categories}),p),M=A.enter().append(\"g\").attr(\"class\",\"category\");A.attr(\"transform\",(function(t){return l(0,t.y)})),M.append(\"rect\").attr(\"class\",\"catrect\").attr(\"pointer-events\",\"none\"),A.select(\"rect.catrect\").attr(\"fill\",\"none\").attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})),T(M);var S=A.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p);S.each((function(){s.raiseToTop(this)})),S.attr(\"fill\",(function(t){return t.color}));var E=S.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);S.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(E),S.exit().remove(),M.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=e._fullLayout.paper_bgcolor;A.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){c.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),M.append(\"text\").attr(\"class\",\"dimlabel\"),A.select(\"text.dimlabel\").attr(\"text-anchor\",\"middle\").attr(\"alignment-baseline\",\"baseline\").attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"ew-resize\"})).attr(\"x\",(function(t){return t.width/2})).attr(\"y\",-5).text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})).each((function(t){c.font(n.select(this),t.parcatsViewModel.labelfont)})),A.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),A.exit().remove(),w.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",I).on(\"dragend\",O)),u.each((function(t){t.traceSelection=n.select(this),t.pathSelection=n.select(this).selectAll(\"g.paths\").selectAll(\"path.path\"),t.dimensionSelection=n.select(this).selectAll(\"g.dimensions\").selectAll(\"g.dimension\")})),u.exit().remove()}function p(t){return t.key}function d(t){var e=t.parcatsViewModel.dimensions.length,r=t.parcatsViewModel.dimensions[e-1].model.dimensionInd;return t.model.dimensionInd===r}function g(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function 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b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=u.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+g.left,y:_-d.top+g.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function v(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(g),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function y(t){for(var e=[],r=z(t.parcatsViewModel),n=0;n<t.model.valueInds.length;n++){var i=t.model.valueInds[n];e.push({curveNumber:r,pointNumber:i})}return e}function x(t){for(var e={},r=t.parcatsViewModel.model.dimensions,n=0;n<r.length;n++){var i=r[n],a=i.categories[t.model.categoryInds[n]];e[i.containerInd]=a.categoryValue}return void 0!==t.model.rawColor&&(e.color=t.model.rawColor),e}function b(t){if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){var e=y(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_click\",{points:e,event:n.event,constraints:r})}}function _(t){t.attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",.6).attr(\"stroke\",\"lightgray\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1)}function w(t){t.attr(\"fill-opacity\",.8).attr(\"stroke\",(function(t){return u.mostReadable(t.model.color,[\"black\",\"white\"])})).attr(\"stroke-width\",.3)}function T(t){t.select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",1).attr(\"stroke-opacity\",1)}function k(t){t.attr(\"stroke\",\"black\").attr(\"stroke-width\",.2).attr(\"stroke-opacity\",1).attr(\"fill-opacity\",1)}function A(t){var e=t.parcatsViewModel.pathSelection,r=t.categoryViewModel.model.dimensionInd,n=t.categoryViewModel.model.categoryInd;return e.filter((function(e){return e.model.categoryInds[r]===n&&e.model.color===t.color}))}function M(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,y(t))}))}));var c={};c[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:c})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,y(t))}));var c={};c[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(c.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:c})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),c=l.node().getBoundingClientRect(),u=l.datum(),f=u.parcatsViewModel,h=f.model.dimensions[u.model.dimensionInd],p=f.trace,d=c.top+c.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=c.left,a=\"left\"):(i=c.left+c.width,a=\"right\");var g=u.model.count,m=u.model.categoryLabel,v=g/u.parcatsViewModel.model.count,y={countLabel:g,categoryLabel:m,probabilityLabel:v.toFixed(3)},x=[];-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",y.countLabel].join(\" \")),-1!==u.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+y.categoryLabel+\"):\",y.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", 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e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(this),M(this,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\"))\"category\"===l?e=E(r,a,this):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),c=n.select(r).datum(),f=c.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,g=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var m=f.model.categoryLabel,v=c.parcatsViewModel.model.count,y=0;c.categoryViewModel.bands.forEach((function(t){t.color===c.color&&(y+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===c.color&&(b+=t.model.count)}));var _=y/v,w=y/b,T=y/x,k={countLabel:v,categoryLabel:m,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color \\u2229 \"+m+\"): \"+k.probabilityLabel),A.push(\"P(\"+m+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+m+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=u.mostReadable(c.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(g-e.top),text:M,color:c.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:m,count:v,probability:_,categorycount:x,colorcount:b,bandcolorcount:y}]}}(r,a,this):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,this)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r})}}function C(t){var e=t.parcatsViewModel;if(!e.dragDimension&&(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(g),-1===e.hoverinfoItems.indexOf(\"skip\"))){\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event)}}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,c=a.categories,u=c[l-1],f=c[l+1];void 0!==u&&s<u.y+u.height/2&&(o.model.displayInd=u.model.displayInd,u.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),D(t.parcatsViewModel)}}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=z(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var c=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),u=c.map((function(t){return t.categoryValue})),f=c.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[u],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}if(-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd)t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null;t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),D(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function z(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function D(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr(\"transform\",(function(t){return l(t.x,0)})),r(i).attr(\"transform\",(function(t){return l(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,c=e.height,u=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(c*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var g={trace:o,key:o.uid,model:i,x:h,y:p,width:u,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(g),N(g)),g}function B(t,e,r,n,a){var o,s,l=[],c=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),c.push(o(1-a));var u=\"M \"+t[0]+\",\"+e[0];for(u+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)u+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+c[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],u+=\"l\"+r[s]+\",0 \";for(u+=\"l0,\"+n+\" \",u+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)u+=\"C\"+c[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),u+=\"l-\"+r[s]+\",0 \";return u+=\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),c=[];for(var u in r.paths)r.paths.hasOwnProperty(u)&&c.push(r.paths[u]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}c.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(c.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),g=0;g<c.length;g++){var m,v=c[g];m=p>0?d*(v.count/p):0;for(var y,x=new Array(n.length),b=0;b<v.categoryInds.length;b++){var 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n=t(\"../../components/colorscale/attributes\"),i=t(\"../../plots/cartesian/layout_attributes\"),a=t(\"../../plots/font_attributes\"),o=t(\"../../plots/domain\").attributes,s=t(\"../../lib/extend\").extendFlat,l=t(\"../../plot_api/plot_template\").templatedArray;e.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"}))}},{\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/plot_template\":543,\"../../plots/cartesian/layout_attributes\":569,\"../../plots/domain\":584,\"../../plots/font_attributes\":585}],889:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"@plotly/d3\"),a=t(\"../../lib/gup\").keyFun,o=t(\"../../lib/gup\").repeat,s=t(\"../../lib\").sorterAsc,l=t(\"../../lib\").strTranslate,c=n.bar.snapRatio;function u(t,e){return t*(1-c)+e*c}var f=n.bar.snapClose;function h(t,e){return t*(1-f)+e*f}function p(t,e,r,n){if(function(t,e){for(var r=0;r<e.length;r++)if(t>=e[r][0]&&t<=e[r][1])return!0;return!1}(r,n))return r;var i=t?-1:1,a=0,o=e.length-1;if(i<0){var s=a;a=o,o=s}for(var l=e[a],c=l,f=a;i*f<i*o;f+=i){var p=f+i,d=e[p];if(i*r<i*h(l,d))return u(l,c);if(i*r<i*d||p===o)return u(d,l);c=l,l=d}}function d(t){t.attr(\"x\",-n.bar.captureWidth/2).attr(\"width\",n.bar.captureWidth)}function g(t){t.attr(\"visibility\",\"visible\").style(\"visibility\",\"visible\").attr(\"fill\",\"yellow\").attr(\"opacity\",0)}function m(t){if(!t.brush.filterSpecified)return\"0,\"+t.height;for(var 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k(t){t.on(\"mousemove\",(function(t){i.event.preventDefault(),t.parent.inBrushDrag||T(this,t)})).on(\"mouseleave\",(function(t){t.parent.inBrushDrag||y()})).call(i.behavior.drag().on(\"dragstart\",(function(t){!function(t,e){i.event.sourceEvent.stopPropagation();var r=e.height-i.mouse(t)[1]-2*n.verticalPadding,a=e.unitToPaddedPx.invert(r),o=e.brush,s=_(e,r),l=s.interval,c=o.svgBrush;if(c.wasDragged=!1,c.grabbingBar=\"ns\"===s.region,c.grabbingBar){var u=l.map(e.unitToPaddedPx);c.grabPoint=r-u[0]-n.verticalPadding,c.barLength=u[1]-u[0]}c.clickableOrdinalRange=s.clickableOrdinalRange,c.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(c.stayingIntervals=c.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),c.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,c.brushStartCallback()}(this,t)})).on(\"drag\",(function(t){w(this,t)})).on(\"dragend\",(function(t){!function(t,e){var r=e.brush,n=r.filter,a=r.svgBrush;a._dragging||(T(t,e),w(t,e),e.brush.svgBrush.wasDragged=!1),a._dragging=!1,i.event.sourceEvent.stopPropagation();var o=a.grabbingBar;if(a.grabbingBar=!1,a.grabLocation=void 0,e.parent.inBrushDrag=!1,y(),!a.wasDragged)return a.wasDragged=void 0,a.clickableOrdinalRange?r.filterSpecified&&e.multiselect?a.extent.push(a.clickableOrdinalRange):(a.extent=[a.clickableOrdinalRange],r.filterSpecified=!0):o?(a.extent=a.stayingIntervals,0===a.extent.length&&M(r)):M(r),a.brushCallback(e),b(t.parentNode),void a.brushEndCallback(r.filterSpecified?n.getConsolidated():[]);var s=function(){n.set(n.getConsolidated())};if(e.ordinal){var l=e.unitTickvals;l[l.length-1]<l[0]&&l.reverse(),a.newExtent=[p(0,l,a.newExtent[0],a.stayingIntervals),p(1,l,a.newExtent[1],a.stayingIntervals)];var c=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(c?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),c?b(t.parentNode,s):(s(),b(t.parentNode))}else s();a.brushEndCallback(r.filterSpecified?n.getConsolidated():[])}(this,t)})))}function A(t,e){return t[0]-e[0]}function M(t){t.filterSpecified=!1,t.svgBrush.extent=[[-1/0,1/0]]}function S(t){for(var e,r=t.slice(),n=[],i=r.shift();i;){for(e=i.slice();(i=r.shift())&&i[0]<=e[1];)e[1]=Math.max(e[1],i[1]);n.push(e)}return 1===n.length&&n[0][0]>n[0][1]&&(n=[]),n}e.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e).slice();e.filter.set(r),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e){var r=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);r.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e){var r=t.selectAll(\".background\").data(o);r.enter().append(\"rect\").classed(\"background\",!0).call(d).call(g).style(\"pointer-events\",\"auto\").attr(\"transform\",l(0,n.verticalPadding)),r.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var i=t.selectAll(\".highlight-shadow\").data(o);i.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),i.attr(\"y1\",(function(t){return t.height})).call(x);var a=t.selectAll(\".highlight\").data(o);a.enter().append(\"line\").classed(\"highlight\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width-n.bar.strokeWidth).attr(\"stroke\",n.bar.fillColor).attr(\"opacity\",n.bar.fillOpacity).attr(\"stroke-linecap\",\"butt\"),a.attr(\"y1\",(function(t){return t.height})).call(x)}(r,e)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},{\"../../lib\":503,\"../../lib/gup\":500,\"./constants\":892,\"@plotly/d3\":58}],890:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/get_data\").getModuleCalcData,a=t(\"./plot\"),o=t(\"../../constants/xmlns_namespaces\");r.name=\"parcoords\",r.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},r.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},r.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":t,preserveAspectRatio:\"none\",x:0,y:0,width:this.style.width,height:this.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},{\"../../constants/xmlns_namespaces\":480,\"../../plots/get_data\":593,\"./plot\":899,\"@plotly/d3\":58}],891:[function(t,e,r){\"use strict\";var n=t(\"../../lib\").isArrayOrTypedArray,i=t(\"../../components/colorscale\"),a=t(\"../../lib/gup\").wrap;e.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},{\"../../components/colorscale\":378,\"../../lib\":503,\"../../lib/gup\":500}],892:[function(t,e,r){\"use strict\";e.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,deselectedLineColor:\"#777\",bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},{}],893:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/colorscale/helpers\").hasColorscale,a=t(\"../../components/colorscale/defaults\"),o=t(\"../../plots/domain\").defaults,s=t(\"../../plots/array_container_defaults\"),l=t(\"../../plots/cartesian/axes\"),c=t(\"./attributes\"),u=t(\"./axisbrush\"),f=t(\"./constants\").maxDimensionCount,h=t(\"./merge_length\");function p(t,e,r,i){function a(r,i){return n.coerce(t,e,c.dimensions,r,i)}var o=a(\"values\"),s=a(\"visible\");if(o&&o.length||(s=e.visible=!1),s){a(\"label\"),a(\"tickvals\"),a(\"ticktext\"),a(\"tickformat\");var f=a(\"range\");e._ax={_id:\"y\",type:\"linear\",showexponent:\"all\",exponentformat:\"B\",range:f},l.setConvert(e._ax,i.layout),a(\"multiselect\");var h=a(\"constraintrange\");h&&(e.constraintrange=u.cleanRanges(h,e))}}e.exports=function(t,e,r,l){function u(r,i){return n.coerce(t,e,c,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the 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n=t(\"../../lib\").isTypedArray;r.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},r.isOrdinal=function(t){return!!t.tickvals},r.isVisible=function(t){return t.visible||!(\"visible\"in t)}},{\"../../lib\":503}],895:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:t(\"./base_plot\"),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},{\"./attributes\":888,\"./base_plot\":890,\"./calc\":891,\"./defaults\":893,\"./plot\":899}],896:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=t(\"./constants\").maxDimensionCount,s=t(\"../../lib\"),l=new Uint8Array(4),c=new Uint8Array(4),u={shape:[256,1],format:\"rgba\",type:\"uint8\",mag:\"nearest\",min:\"nearest\"};function f(t,e,r,n,i){var a=t._gl;a.enable(a.SCISSOR_TEST),a.scissor(e,r,n,i),t.clear({color:[0,0,0,0],depth:1})}function h(t,e,r,n,i,a){var o=a.key;r.drawCompleted||(!function(t){t.read({x:0,y:0,width:1,height:1,data:l})}(t),r.drawCompleted=!0),function s(l){var c=Math.min(n,i-l*n);0===l&&(window.cancelAnimationFrame(r.currentRafs[o]),delete r.currentRafs[o],f(t,a.scissorX,a.scissorY,a.scissorWidth,a.viewBoxSize[1])),r.clearOnly||(a.count=2*c,a.offset=2*l*n,e(a),l*n+c<i&&(r.currentRafs[o]=window.requestAnimationFrame((function(){s(l+1)}))),r.drawCompleted=!1)}(0)}function p(t,e){for(var r=new Array(256),n=0;n<256;n++)r[n]=t(n/255).concat(e);return r}function d(t,e){return(t>>>8*e)%256/255}function g(t,e,r){for(var n=new Array(8*e),i=0,a=0;a<e;a++)for(var o=0;o<2;o++)for(var s=0;s<4;s++){var l=4*t+s,c=r[64*a+l];63===l&&0===o&&(c*=-1),n[i++]=c}return n}function m(t){var e=\"0\"+t;return e.substr(e.length-2)}function v(t){return t<o?\"p\"+m(t+1)+\"_\"+m(t+4):\"colors\"}function y(t,e,r,n,i,a,o,l,c,u,f,h,p,d){for(var g=[[],[]],m=0;m<64;m++)g[0][m]=m===i?1:0,g[1][m]=m===a?1:0;o*=d,l*=d,c*=d,u*=d;var v=t.lines.canvasOverdrag*d,y=t.domain,x=t.canvasWidth*d,b=t.canvasHeight*d,_=t.pad.l*d,w=t.pad.b*d,T=t.layoutHeight*d,k=t.layoutWidth*d,A=t.deselectedLines.color;return s.extendFlat({key:f,resolution:[x,b],viewBoxPos:[o+v,l],viewBoxSize:[c,u],i0:i,i1:a,dim0A:g[0].slice(0,16),dim0B:g[0].slice(16,32),dim0C:g[0].slice(32,48),dim0D:g[0].slice(48,64),dim1A:g[1].slice(0,16),dim1B:g[1].slice(16,32),dim1C:g[1].slice(32,48),dim1D:g[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,A[3]<1?A[3]:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:o+v)+(_-v)+k*y.x[0],scissorWidth:(n===r?x-o+v:c+.5)+(n===e?o+v:0),scissorY:l+w+T*y.y[0],scissorHeight:u,viewportX:_-v+k*y.x[0],viewportY:w+T*y.y[0],viewportWidth:x,viewportHeight:b},p)}function x(t){var e=Math.max(0,Math.floor(2047*t[0]),0),r=Math.min(2047,Math.ceil(2047*t[1]),2047);return[Math.min(e,r),Math.max(e,r)]}e.exports=function(t,e){var r,n,l,m,b,_=e.context,w=e.pick,T=e.regl,k=T._gl,A=k.getParameter(k.ALIASED_LINE_WIDTH_RANGE),M=Math.max(A[0],Math.min(A[1],e.viewModel.plotGlPixelRatio)),S={currentRafs:{},drawCompleted:!0,clearOnly:!1},E=function(t){for(var e={},r=0;r<=o;r+=4)e[v(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(T),L=T.texture(u),C=[];I(e);var P=T({profile:!1,blend:{enable:_,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src 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n=t(\"../../plots/attributes\"),i=t(\"../../plots/domain\").attributes,a=t(\"../../plots/font_attributes\"),o=t(\"../../components/color/attributes\"),s=t(\"../../plots/template_attributes\").hovertemplateAttrs,l=t(\"../../plots/template_attributes\").texttemplateAttrs,c=t(\"../../lib/extend\").extendFlat,u=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});e.exports={labels:{valType:\"data_array\",editType:\"calc\"},label0:{valType:\"number\",dflt:0,editType:\"calc\"},dlabel:{valType:\"number\",dflt:1,editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},marker:{colors:{valType:\"data_array\",editType:\"calc\"},line:{color:{valType:\"color\",dflt:o.defaultLine,arrayOk:!0,editType:\"style\"},width:{valType:\"number\",min:0,dflt:0,arrayOk:!0,editType:\"style\"},editType:\"calc\"},editType:\"calc\"},text:{valType:\"data_array\",editType:\"plot\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"style\"},scalegroup:{valType:\"string\",dflt:\"\",editType:\"calc\"},textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"percent\"],extras:[\"none\"],editType:\"calc\"},hoverinfo:c({},n.hoverinfo,{flags:[\"label\",\"text\",\"value\",\"percent\",\"name\"]}),hovertemplate:s({},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),texttemplate:l({editType:\"plot\"},{keys:[\"label\",\"color\",\"value\",\"percent\",\"text\"]}),textposition:{valType:\"enumerated\",values:[\"inside\",\"outside\",\"auto\",\"none\"],dflt:\"auto\",arrayOk:!0,editType:\"plot\"},textfont:c({},u,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:c({},u,{}),outsidetextfont:c({},u,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:c({},u,{}),position:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"plot\"},editType:\"plot\"},domain:i({name:\"pie\",trace:!0,editType:\"calc\"}),hole:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},sort:{valType:\"boolean\",dflt:!0,editType:\"calc\"},direction:{valType:\"enumerated\",values:[\"clockwise\",\"counterclockwise\"],dflt:\"counterclockwise\",editType:\"calc\"},rotation:{valType:\"number\",min:-360,max:360,dflt:0,editType:\"calc\"},pull:{valType:\"number\",min:0,max:1,dflt:0,arrayOk:!0,editType:\"calc\"},_deprecated:{title:{valType:\"string\",dflt:\"\",editType:\"calc\"},titlefont:c({},u,{}),titleposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle center\",\"bottom left\",\"bottom center\",\"bottom right\"],editType:\"calc\"}}}},{\"../../components/color/attributes\":365,\"../../lib/extend\":493,\"../../plots/attributes\":550,\"../../plots/domain\":584,\"../../plots/font_attributes\":585,\"../../plots/template_attributes\":633}],901:[function(t,e,r){\"use strict\";var n=t(\"../../plots/plots\");r.name=\"pie\",r.plot=function(t,e,i,a){n.plotBasePlot(r.name,t,e,i,a)},r.clean=function(t,e,i,a){n.cleanBasePlot(r.name,t,e,i,a)}},{\"../../plots/plots\":619}],902:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"tinycolor2\"),a=t(\"../../components/color\"),o={};function s(t){return function(e,r){return!!e&&(!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e))}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}e.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],c=e.labels,u=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(c=new Array(h),r=0;r<h;r++)c[r]=String(e.label0+r*e.dlabel);var d={},g=s(o[\"_\"+e.type+\"colormap\"]),m=0,v=!1;for(r=0;r<h;r++){var y,x,b;if(p){if(y=f[r],!n(y))continue;y=+y}else y=1;void 0!==(x=c[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(m+=y),a.push({v:y,label:x,color:g(u[r],x),i:r,pts:[r],hidden:b})):(v=!0,(i=a[_]).v+=y,i.pts.push(r),i.hidden||(m+=y),!1===i.color&&u[r]&&(i.color=g(u[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?v:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=m),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var c=0,u=0;u<i.length;u++){var f=i[u];if(f[0].trace.type===r)for(var h=0;h<f.length;h++){var p=f[h];!1===p.color&&(s[p.label]?p.color=s[p.label]:(s[p.label]=p.color=a[c%a.length],c++))}}},makePullColorFn:s,generateExtendedColors:l}},{\"../../components/color\":366,\"fast-isnumeric\":190,tinycolor2:312}],903:[function(t,e,r){\"use strict\";var n=t(\"fast-isnumeric\"),i=t(\"../../lib\"),a=t(\"./attributes\"),o=t(\"../../plots/domain\").defaults,s=t(\"../bar/defaults\").handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var c=e[l];if(n(c)&&c>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}e.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function c(r,n){return i.coerce(t,e,a,r,n)}var u=l(c(\"labels\"),c(\"values\")),f=u.len;if(e._hasLabels=u.hasLabels,e._hasValues=u.hasValues,!e._hasLabels&&e._hasValues&&(c(\"label0\"),c(\"dlabel\")),f){e._length=f,c(\"marker.line.width\")&&c(\"marker.line.color\"),c(\"marker.colors\"),c(\"scalegroup\");var h,p=c(\"text\"),d=c(\"texttemplate\");if(d||(h=c(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),c(\"hovertext\"),c(\"hovertemplate\"),d||h&&\"none\"!==h){var g=c(\"textposition\");s(t,e,n,c,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&c(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&c(\"insidetextorientation\")}o(e,n,c);var m=c(\"hole\");if(c(\"title.text\")){var v=c(\"title.position\",m?\"middle center\":\"top center\");m||\"middle center\"!==v||(e.title.position=\"top center\"),i.coerceFont(c,\"title.font\",n.font)}c(\"sort\"),c(\"direction\"),c(\"rotation\"),c(\"pull\")}else e.visible=!1}}},{\"../../lib\":503,\"../../plots/domain\":584,\"../bar/defaults\":652,\"./attributes\":900,\"fast-isnumeric\":190}],904:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx/helpers\").appendArrayMultiPointValues;e.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},{\"../../components/fx/helpers\":402}],905:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}r.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},r.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},r.getFirstFilled=function(t,e){if(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},r.castOption=function(t,e){return Array.isArray(t)?r.getFirstFilled(t,e):t||void 0},r.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},{\"../../lib\":503}],906:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\").supplyDefaults,supplyLayoutDefaults:t(\"./layout_defaults\"),layoutAttributes:t(\"./layout_attributes\"),calc:t(\"./calc\").calc,crossTraceCalc:t(\"./calc\").crossTraceCalc,plot:t(\"./plot\").plot,style:t(\"./style\"),styleOne:t(\"./style_one\"),moduleType:\"trace\",name:\"pie\",basePlotModule:t(\"./base_plot\"),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},{\"./attributes\":900,\"./base_plot\":901,\"./calc\":902,\"./defaults\":903,\"./layout_attributes\":907,\"./layout_defaults\":908,\"./plot\":909,\"./style\":910,\"./style_one\":911}],907:[function(t,e,r){\"use strict\";e.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},{}],908:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./layout_attributes\");e.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},{\"../../lib\":503,\"./layout_attributes\":907}],909:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../plots/plots\"),a=t(\"../../components/fx\"),o=t(\"../../components/color\"),s=t(\"../../components/drawing\"),l=t(\"../../lib\"),c=l.strScale,u=l.strTranslate,f=t(\"../../lib/svg_text_utils\"),h=t(\"../bar/uniform_text\"),p=h.recordMinTextSize,d=h.clearMinTextSize,g=t(\"../bar/constants\").TEXTPAD,m=t(\"./helpers\"),v=t(\"./event_data\"),y=t(\"../../lib\").isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,c=i.trace,u=\"funnelarea\"===c.type;\"_hasHoverLabel\"in c||(c._hasHoverLabel=!1),\"_hasHoverEvent\"in c||(c._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[c.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[m.castOption(h,t.pts)],_module:c._module},r,0)),\"all\"===h&&(h=\"label+text+value+percent+name\"),f.hovertemplate||\"none\"!==h&&\"skip\"!==h&&h){var p=t.rInscribed||0,d=o+t.pxmid[0]*(1-p),g=s+t.pxmid[1]*(1-p),y=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=m.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=m.formatPieValue(t.v,y),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=m.formatPiePercent(t.percent,y),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:c,x0:d-p*i.r,x1:d+p*i.r,y:g,_x0:u?o+t.TL[0]:d-p*i.r,_x1:u?o+t.TR[0]:d+p*i.r,_y0:u?s+t.TL[1]:g-p*i.r,_y1:u?s+t.BL[1]:g+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:m.castOption(_.bgcolor,t.pts)||t.color,borderColor:m.castOption(_.bordercolor,t.pts),fontFamily:m.castOption(w.family,t.pts),fontSize:m.castOption(w.size,t.pts),fontColor:m.castOption(w.color,t.pts),nameLength:m.castOption(_.namelength,t.pts),textAlign:m.castOption(_.align,t.pts),hovertemplate:m.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[v(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],c._hasHoverLabel=!0}c._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[v(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[c.index],o=n.select(this).datum();c._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[v(o,i)],event:n.event}),c._hasHoverEvent=!1),c._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),c._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[c.index];e._dragging||!1===r.hovermode||(e._hoverdata=[v(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=m.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=m.castOption(t._input.textfont.color,e.pts));var i=m.castOption(t.insidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.insidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),c=s.bBox(o.node(),!0);r.titleBox={width:c.width,height:c.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,c=e.midangle,u=r.trace.insidetextorientation,f=\"horizontal\"===u,h=\"tangential\"===u,p=\"radial\"===u,d=\"auto\"===u,g=[];if(!d){var m,v=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),c=s<l?s:l;(a=\"tan\"===i?k(t,n,o,c,0):T(t,n,o,c,Math.PI/2)).textPosAngle=r,g.push(a)}};if(f||h){for(m=4;m>=-4;m-=2)v(Math.PI*m,\"tan\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+1),\"tan\")}if(f||p){for(m=4;m>=-4;m-=2)v(Math.PI*(m+1.5),\"rad\");for(m=4;m>=-4;m-=2)v(Math.PI*(m+.5),\"rad\")}}if(s||d||f){var y=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/y,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;g.push(a)}(d||p)&&((a=T(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a)),(d||h)&&((a=k(t,n,o,l,c)).textPosAngle=(e.startangle+e.stopangle)/2,g.push(a));for(var x=0,b=0,_=0;_<g.length;_++){var w=g[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return g[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.width/t.height,o=S(a,n,e,r);return{scale:2*o/t.height,rCenter:A(a,o/e),rotate:M(i)}}function k(t,e,r,n,i){e=Math.max(0,e-2*g);var a=t.height/t.width,o=S(a,n,e,r);return{scale:2*o/t.width,rCenter:A(a,o/e),rotate:M(i+Math.PI/2)}}function A(t,e){return Math.cos(e)-t*e}function M(t){return(180/Math.PI*t+720)%180-90}function S(t,e,r,n){var i=t+1/(2*Math.tan(e));return r*Math.min(1/(Math.sqrt(i*i+.5)+i),n/(Math.sqrt(t*t+n/2)+t))}function E(t,e){return t.v!==e.vTotal||e.trace.hole?Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2):1}function L(t,e){var r=e.pxmid[0],n=e.pxmid[1],i=t.width/2,a=t.height/2;return r<0&&(i*=-1),n<0&&(a*=-1),{scale:1,rCenter:1,rotate:0,x:i+Math.abs(a)*(i>0?1:-1)/2,y:a/(1+r*r/(n*n)),outside:!0}}function C(t,e){var r,n,i,a=t.trace,o={x:t.cx,y:t.cy},s={tx:0,ty:0};s.ty+=a.title.font.size,i=I(a),-1!==a.title.position.indexOf(\"top\")?(o.y-=(1+i)*t.r,s.ty-=t.titleBox.height):-1!==a.title.position.indexOf(\"bottom\")&&(o.y+=(1+i)*t.r);var l,c,u=(l=t.r,c=t.trace.aspectratio,l/(void 0===c?1:c)),f=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(f+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?f*=2:-1!==a.title.position.indexOf(\"right\")&&(f+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=f/t.titleBox.width,n=P(t,e)/t.titleBox.height,{x:o.x,y:o.y,scale:Math.min(r,n),tx:s.tx,ty:s.ty}}function P(t,e){var r=t.trace,n=e.h*(r.domain.y[1]-r.domain.y[0]);return Math.min(t.titleBox.height,n/2)}function I(t){var e,r=t.pull;if(!r)return 0;if(Array.isArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function O(t,e){for(var r=[],n=0;n<t.length;n++){var i=t[n][0],a=i.trace,o=a.domain,s=e.w*(o.x[1]-o.x[0]),l=e.h*(o.y[1]-o.y[0]);a.title.text&&\"middle center\"!==a.title.position&&(l-=P(i,e));var c=s/2,u=l/2;\"funnelarea\"!==a.type||a.scalegroup||(u/=a.aspectratio),i.r=Math.min(c,u)/(1+I(a)),i.cx=e.l+e.w*(a.domain.x[1]+a.domain.x[0])/2,i.cy=e.t+e.h*(1-a.domain.y[0])-l/2,a.title.text&&-1!==a.title.position.indexOf(\"bottom\")&&(i.cy-=P(i,e)),a.scalegroup&&-1===r.indexOf(a.scalegroup)&&r.push(a.scalegroup)}!function(t,e){for(var r,n,i,a=0;a<e.length;a++){var o=1/0,s=e[a];for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var c,u;i.aspectratio>1?(c=r.r,u=c/i.aspectratio):(u=r.r,c=u*i.aspectratio),c*=(1+i.baseratio)/2,l=c*u}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if(r=t[n][0],(i=r.trace).scalegroup===s){var f=o*r.vTotal;\"funnelarea\"===i.type&&(f/=(1+i.baseratio)/2,f/=i.aspectratio),r.r=Math.sqrt(f)}}}(t,r)}function z(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function D(t,e,r){var n=t._fullLayout,i=r.trace,a=i.texttemplate,o=i.textinfo;if(!a&&o&&\"none\"!==o){var s,c=o.split(\"+\"),u=function(t){return-1!==c.indexOf(t)},f=u(\"label\"),h=u(\"text\"),p=u(\"value\"),d=u(\"percent\"),g=n.separators;if(s=f?[e.label]:[],h){var v=m.getFirstFilled(i.text,e.pts);y(v)&&s.push(v)}p&&s.push(m.formatPieValue(e.v,g)),d&&s.push(m.formatPiePercent(e.v/r.vTotal,g)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:m.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:m.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=m.getFirstFilled(i.text,e.pts);(y(_)||\"\"===_)&&(b.text=_),e.text=l.texttemplateString(x,b,t._fullLayout._d3locale,b,i._meta||{})}else e.text=\"\"}}function R(t,e){var r=t.rotate*Math.PI/180,n=Math.cos(r),i=Math.sin(r),a=(e.left+e.right)/2,o=(e.top+e.bottom)/2;t.textX=a*n-o*i,t.textY=a*i+o*n,t.noCenter=!0}e.exports={plot:function(t,e){var r=t._fullLayout,a=r._size;d(\"pie\",r),_(e,t),O(e,a);var h=l.makeTraceGroups(r._pielayer,e,\"trace\").each((function(e){var h=n.select(this),d=e[0],g=d.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=m.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,c=\"px0\",u=\"px1\";if(\"counterclockwise\"===o.direction){for(e=0;e<t.length&&t[e].hidden;e++);if(e===t.length)return;s+=l*t[e].v,l*=-1,c=\"px1\",u=\"px0\"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[c]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,s+=l*r.v/2,n=z(a,s),r.stopangle=s,r[u]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),h.attr(\"stroke-linejoin\",\"round\"),h.each((function(){var v=n.select(this).selectAll(\"g.slice\").data(e);v.enter().append(\"g\").classed(\"slice\",!0),v.exit().remove();var y=[[[],[]],[[],[]]],_=!1;v.each((function(i,a){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=g.index,y[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var o=d.cx,c=d.cy,u=n.select(this),h=u.selectAll(\"path.surface\").data([i]);if(h.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":\"all\"}),u.call(x,t,e),g.pull){var v=+m.castOption(g.pull,i.pts)||0;v>0&&(o+=v*i.pxmid[0],c+=v*i.pxmid[1])}i.cxFinal=o,i.cyFinal=c;var T=g.hole;if(i.v===d.vTotal){var k=\"M\"+(o+i.px0[0])+\",\"+(c+i.px0[1])+C(i.px0,i.pxmid,!0,1)+C(i.pxmid,i.px0,!0,1)+\"Z\";T?h.attr(\"d\",\"M\"+(o+T*i.px0[0])+\",\"+(c+T*i.px0[1])+C(i.px0,i.pxmid,!1,T)+C(i.pxmid,i.px0,!1,T)+\"Z\"+k):h.attr(\"d\",k)}else{var A=C(i.px0,i.px1,!0,1);if(T){var M=1-T;h.attr(\"d\",\"M\"+(o+T*i.px1[0])+\",\"+(c+T*i.px1[1])+C(i.px1,i.px0,!1,T)+\"l\"+M*i.px0[0]+\",\"+M*i.px0[1]+A+\"Z\")}else h.attr(\"d\",\"M\"+o+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+A+\"Z\")}D(t,i,d);var S=m.castOption(g.textposition,i.pts),E=u.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==S?[0]:[]);E.enter().append(\"g\").classed(\"slicetext\",!0),E.exit().remove(),E.each((function(){var u=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===S?function(t,e,r){var n=m.castOption(t.outsidetextfont.color,e.pts)||m.castOption(t.textfont.color,e.pts)||r.color,i=m.castOption(t.outsidetextfont.family,e.pts)||m.castOption(t.textfont.family,e.pts)||r.family,a=m.castOption(t.outsidetextfont.size,e.pts)||m.castOption(t.textfont.size,e.pts)||r.size;return{color:n,family:i,size:a}}(g,i,r.font):b(g,i,r.font));u.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var v,y=s.bBox(u.node());if(\"outside\"===S)v=L(y,i);else if(v=w(y,i,d),\"auto\"===S&&v.scale<1){var x=l.ensureUniformFontSize(t,g.outsidetextfont);u.call(s.font,x),v=L(y=s.bBox(u.node()),i)}var T=v.textPosAngle,k=void 0===T?i.pxmid:z(d.r,T);if(v.targetX=o+k[0]*v.rCenter+(v.x||0),v.targetY=c+k[1]*v.rCenter+(v.y||0),R(v,y),v.outside){var A=v.targetY;i.yLabelMin=A-y.height/2,i.yLabelMid=A,i.yLabelMax=A+y.height/2,i.labelExtraX=0,i.labelExtraY=0,_=!0}v.fontSize=h.size,p(g.type,v,r),e[a].transform=v,u.attr(\"transform\",l.getTextTransform(v))}))}function C(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*d.r+\",\"+n*d.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var T=n.select(this).selectAll(\"g.titletext\").data(g.title.text?[0]:[]);if(T.enter().append(\"g\").classed(\"titletext\",!0),T.exit().remove(),T.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=g.title.text;g._meta&&(i=l.templateString(i,g._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,g.title.font).call(f.convertToTspans,t),e=\"middle center\"===g.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(d):C(d,a),r.attr(\"transform\",u(e.x,e.y)+c(Math.min(1,e.scale))+u(e.tx,e.ty))})),_&&function(t,e){var r,n,i,a,o,s,l,c,u,f,h,p,d;function g(t,e){return t.pxmid[1]-e.pxmid[1]}function v(t,e){return e.pxmid[1]-t.pxmid[1]}function y(t,r){r||(r={});var i,c,u,h,p=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),d=n?t.yLabelMin:t.yLabelMax,g=n?t.yLabelMax:t.yLabelMin,v=t.cyFinal+o(t.px0[1],t.px1[1]),y=p-d;if(y*l>0&&(t.labelExtraY=y),Array.isArray(e.pull))for(c=0;c<f.length;c++)(u=f[c])===t||(m.castOption(e.pull,t.pts)||0)>=(m.castOption(e.pull,u.pts)||0)||((t.pxmid[1]-u.pxmid[1])*l>0?(y=u.cyFinal+o(u.px0[1],u.px1[1])-d-t.labelExtraY)*l>0&&(t.labelExtraY+=y):(g+t.labelExtraY-v)*l>0&&(i=3*s*Math.abs(c-f.indexOf(t)),(h=u.cxFinal+a(u.px0[0],u.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=h)))}for(n=0;n<2;n++)for(i=n?g:v,o=n?Math.max:Math.min,l=n?1:-1,r=0;r<2;r++){for(a=r?Math.max:Math.min,s=r?1:-1,(c=t[n][r]).sort(i),u=t[1-n][r],f=u.concat(c),p=[],h=0;h<c.length;h++)void 0!==c[h].yLabelMid&&p.push(c[h]);for(d=!1,h=0;n&&h<u.length;h++)if(void 0!==u[h].yLabelMid){d=u[h];break}for(h=0;h<p.length;h++){var x=h&&p[h-1];d&&!h&&(x=d),y(p[h],x)}}}(y,g),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,i.attr(\"transform\",l.getTextTransform(t.transform));var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),c=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var u=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(u)>Math.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+c):s+=\"l\"+t.labelExtraX+\",\"+u+\"v\"+(f-u)+\"h\"+c}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+c;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(v,g),_&&g.automargin){var k=s.bBox(h.node()),A=g.domain,M=a.w*(A.x[1]-A.x[0]),S=a.h*(A.y[1]-A.y[0]),E=(.5*M-d.r)/a.w,P=(.5*S-d.r)/a.h;i.autoMargin(t,\"pie.\"+g.uid+\".automargin\",{xl:A.x[0]-E,xr:A.x[1]+E,yb:A.y[0]-P,yt:A.y[1]+P,l:Math.max(d.cx-d.r-k.left,0),r:Math.max(k.right-(d.cx+d.r),0),b:Math.max(k.bottom-(d.cy+d.r),0),t:Math.max(d.cy-d.r-k.top,0),pad:5})}}))}));setTimeout((function(){h.selectAll(\"tspan\").each((function(){var t=n.select(this);t.attr(\"dy\")&&t.attr(\"dy\",t.attr(\"dy\"))}))}),0)},formatSliceLabel:D,transformInsideText:w,determineInsideTextFont:b,positionTitleOutside:C,prerenderTitles:_,layoutAreas:O,attachFxHandlers:x,computeTransform:R}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../../components/fx\":406,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../../plots/plots\":619,\"../bar/constants\":650,\"../bar/uniform_text\":664,\"./event_data\":904,\"./helpers\":905,\"@plotly/d3\":58}],910:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"./style_one\"),a=t(\"../bar/uniform_text\").resizeText;e.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(t){var e=t[0].trace,r=n.select(this);r.style({opacity:e.opacity}),r.selectAll(\"path.surface\").each((function(t){n.select(this).call(i,t,e)}))}))}},{\"../bar/uniform_text\":664,\"./style_one\":911,\"@plotly/d3\":58}],911:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"./helpers\").castOption;e.exports=function(t,e,r){var a=r.marker.line,o=i(a.color,e.pts)||n.defaultLine,s=i(a.width,e.pts)||0;t.style(\"stroke-width\",s).call(n.fill,e.color).call(n.stroke,o)}},{\"../../components/color\":366,\"./helpers\":905}],912:[function(t,e,r){\"use strict\";var n=t(\"../scatter/attributes\");e.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},{\"../scatter/attributes\":926}],913:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_pointcloud2d,i=t(\"../../lib/str2rgbarray\"),a=t(\"../../plots/cartesian/autorange\").findExtremes,o=t(\"../scatter/get_trace_color\");function s(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var l=s.prototype;l.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:Array.isArray(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},l.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=o(t,{})},l.updateFast=function(t){var e,r,n,o,s,l,c=this.xData=this.pickXData=t.x,u=this.yData=this.pickYData=t.y,f=this.pickXYData=t.xy,h=t.xbounds&&t.ybounds,p=t.indices,d=this.bounds;if(f){if(n=f,e=f.length>>>1,h)d[0]=t.xbounds[0],d[2]=t.xbounds[1],d[1]=t.ybounds[0],d[3]=t.ybounds[1];else for(l=0;l<e;l++)o=n[2*l],s=n[2*l+1],o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=c.length,n=new Float32Array(2*e),r=new Int32Array(e),l=0;l<e;l++)o=c[l],s=u[l],r[l]=l,n[2*l]=o,n[2*l+1]=s,o<d[0]&&(d[0]=o),o>d[2]&&(d[2]=o),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);this.idToIndex=r,this.pointcloudOptions.idToIndex=r,this.pointcloudOptions.positions=n;var g=i(t.marker.color),m=i(t.marker.border.color),v=t.opacity*t.marker.opacity;g[3]*=v,this.pointcloudOptions.color=g;var y=t.marker.blend;if(null===y){y=c.length<100||u.length<100}this.pointcloudOptions.blend=y,m[3]*=v,this.pointcloudOptions.borderColor=m;var x=t.marker.sizemin,b=Math.max(t.marker.sizemax,t.marker.sizemin);this.pointcloudOptions.sizeMin=x,this.pointcloudOptions.sizeMax=b,this.pointcloudOptions.areaRatio=t.marker.border.arearatio,this.pointcloud.update(this.pointcloudOptions);var _=this.scene.xaxis,w=this.scene.yaxis,T=b/2||.5;t._extremes[_._id]=a(_,[d[0],d[2]],{ppad:T}),t._extremes[w._id]=a(w,[d[1],d[3]],{ppad:T})},l.dispose=function(){this.pointcloud.dispose()},e.exports=function(t,e){var r=new s(t,e.uid);return r.update(e),r}},{\"../../../stackgl_modules\":1120,\"../../lib/str2rgbarray\":528,\"../../plots/cartesian/autorange\":553,\"../scatter/get_trace_color\":936}],914:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"./attributes\");e.exports=function(t,e,r){function a(r,a){return n.coerce(t,e,i,r,a)}a(\"x\"),a(\"y\"),a(\"xbounds\"),a(\"ybounds\"),t.xy&&t.xy instanceof Float32Array&&(e.xy=t.xy),t.indices&&t.indices instanceof Int32Array&&(e.indices=t.indices),a(\"text\"),a(\"marker.color\",r),a(\"marker.opacity\"),a(\"marker.blend\"),a(\"marker.sizemin\"),a(\"marker.sizemax\"),a(\"marker.border.color\",r),a(\"marker.border.arearatio\"),e._length=null}},{\"../../lib\":503,\"./attributes\":912}],915:[function(t,e,r){\"use strict\";[\"*pointcloud* trace is deprecated!\",\"Please consider switching to the *scattergl* trace type.\"].join(\" 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n=t(\"../../plots/font_attributes\"),i=t(\"../../plots/attributes\"),a=t(\"../../components/color/attributes\"),o=t(\"../../components/fx/attributes\"),s=t(\"../../plots/domain\").attributes,l=t(\"../../plots/template_attributes\").hovertemplateAttrs,c=t(\"../../components/colorscale/attributes\"),u=t(\"../../plot_api/plot_template\").templatedArray,f=t(\"../../plots/cartesian/axis_format_attributes\").descriptionOnlyNumbers,h=t(\"../../lib/extend\").extendFlat,p=t(\"../../plot_api/edit_types\").overrideAll;(e.exports=p({hoverinfo:h({},i.hoverinfo,{flags:[],arrayOk:!1}),hoverlabel:o.hoverlabel,domain:s({name:\"sankey\",trace:!0}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"h\"},valueformat:{valType:\"string\",dflt:\".3s\",description:f(\"value\")},valuesuffix:{valType:\"string\",dflt:\"\"},arrangement:{valType:\"enumerated\",values:[\"snap\",\"perpendicular\",\"freeform\",\"fixed\"],dflt:\"snap\"},textfont:n({}),customdata:void 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n,i=y(e),a=i.trace,u=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,g=t.width*(u.x[1]-u.x[0]),m=t.height*(u.y[1]-u.y[0]),v=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,m]:[m,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(v).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var M,S=parseInt(i._groupLookup[A]);for(_=0;_<k.nodes.length;_++)if(k.nodes[_].pointNumber===S){M=k.nodes[_];break}if(M){var E={pointNumber:parseInt(A),x0:M.x0,x1:M.x1,y0:M.y0,y1:M.y1,partOfGroup:!0,sourceLinks:[],targetLinks:[]};k.nodes.unshift(E),M.childrenNodes.unshift(E)}}if(function(){for(_=0;_<k.nodes.length;_++){var t,e,r=k.nodes[_],n={};for(w=0;w<r.targetLinks.length;w++)t=(e=r.targetLinks[w]).source.pointNumber+\":\"+e.target.pointNumber,n.hasOwnProperty(t)||(n[t]=[]),n[t].push(e);var i=Object.keys(n);for(w=0;w<i.length;w++){var a=n[t=i[w]],o=0,s={};for(T=0;T<a.length;T++)s[(e=a[T]).label]||(s[e.label]=0),s[e.label]+=e.value,o+=e.value;for(T=0;T<a.length;T++)(e=a[T]).flow={value:o,labelConcentration:s[e.label]/o,concentration:e.value/o,links:a},e.concentrationscale&&(e.color=c(e.concentrationscale(e.flow.labelConcentration)))}var l=0;for(w=0;w<r.sourceLinks.length;w++)l+=r.sourceLinks[w].value;for(w=0;w<r.sourceLinks.length;w++)(e=r.sourceLinks[w]).concentrationOut=e.value/l;var u=0;for(w=0;w<r.targetLinks.length;w++)u+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/u}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*g,a.node.y[_]*m];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}if(\"snap\"===a.arrangement)!function(t){t.forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return t.y0-e.y0})),n=0;n<a;++n)(e=t[n]).y0>=i||(r=i-e.y0)>1e-6&&(e.y0+=r,e.y1+=r),i=e.y1+p}))}(function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(v=k.nodes));n.update(k)}return{circular:b,key:r,trace:a,guid:h.randstr(),horizontal:f,width:g,height:m,nodePad:a.node.pad,nodeLineColor:a.node.line.color,nodeLineWidth:a.node.line.width,linkLineColor:a.link.line.color,linkLineWidth:a.link.line.width,valueFormat:a.valueformat,valueSuffix:a.valuesuffix,textFont:a.textfont,translateX:u.x[0]*t.width+t.margin.l,translateY:t.height-u.y[1]*t.height+t.margin.t,dragParallel:f?m:g,dragPerpendicular:f?g:m,arrangement:a.arrangement,sankey:n,graph:k,forceLayouts:{},interactionState:{dragInProgress:!1,hovered:!1}}}function A(t,e,r){var n=c(e.color),i=e.source.label+\"|\"+e.target.label+\"__\"+r;return e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:u.tinyRGB(n),tinyColorAlpha:n.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){if(t.link.circular)return e=t.link,r=e.width/2,n=e.circularPathData,\"top\"===e.circularLinkType?\"M \"+n.targetX+\" \"+(n.targetY+r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"L\"+n.targetX+\" \"+(n.targetY-r)+\"Z\":\"M \"+n.targetX+\" \"+(n.targetY-r)+\" L\"+n.rightInnerExtent+\" \"+(n.targetY-r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 0 \"+(n.rightFullExtent-r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 0 \"+n.rightInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 0 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+n.rightInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+n.rightInnerExtent+\" \"+(n.targetY+r)+\"L\"+n.targetX+\" \"+(n.targetY+r)+\"Z\";var e,r,n,a=t.link.source.x1,o=t.link.target.x0,s=i(a,o),l=s(.5),c=s(.5),u=t.link.y0-t.link.width/2,f=t.link.y0+t.link.width/2,h=t.link.y1-t.link.width/2,p=t.link.y1+t.link.width/2;return\"M\"+a+\",\"+u+\"C\"+l+\",\"+u+\" \"+c+\",\"+h+\" \"+o+\",\"+h+\"L\"+o+\",\"+p+\"C\"+c+\",\"+p+\" \"+l+\",\"+f+\" \"+a+\",\"+f+\"Z\"}}function S(t,e){var r=c(e.color),n=l.nodePadAcross,i=t.nodePad/2;e.dx=e.x1-e.x0,e.dy=e.y1-e.y0;var a=e.dx,o=Math.max(.5,e.dy),s=\"node_\"+e.pointNumber;return e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue:u.tinyRGB(r),tinyColorAlpha:r.getAlpha(),valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,graph:t.graph,arrangement:t.arrangement,uniqueNodeLabelPathId:[t.guid,t.key,s].join(\"_\"),interactionState:t.interactionState,figure:t}}function E(t){t.attr(\"transform\",(function(t){return p(t.node.x0.toFixed(3),t.node.y0.toFixed(3))}))}function L(t){t.call(E)}function C(t,e){t.call(L),e.attr(\"d\",M())}function P(t){t.attr(\"width\",(function(t){return t.node.x1-t.node.x0})).attr(\"height\",(function(t){return t.visibleHeight}))}function I(t){return t.link.width>1||t.linkLineWidth>0}function O(t){return p(t.translateX,t.translateY)+(t.horizontal?\"matrix(1 0 0 1 0 0)\":\"matrix(0 1 1 0 0 0)\")}function z(t,e,r){t.on(\".basic\",null).on(\"mouseover.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.hover(this,t,e),t.interactionState.hovered=[this,t])})).on(\"mousemove.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.follow(this,t),t.interactionState.hovered=[this,t])})).on(\"mouseout.basic\",(function(t){t.interactionState.dragInProgress||t.partOfGroup||(r.unhover(this,t,e),t.interactionState.hovered=!1)})).on(\"click.basic\",(function(t){t.interactionState.hovered&&(r.unhover(this,t,e),t.interactionState.hovered=!1),t.interactionState.dragInProgress||t.partOfGroup||r.select(this,t,e)}))}function D(t,e,r,i){var o=a.behavior.drag().origin((function(t){return{x:t.node.x0+t.visibleWidth/2,y:t.node.y0+t.visibleHeight/2}})).on(\"dragstart\",(function(a){if(\"fixed\"!==a.arrangement&&(h.ensureSingle(i._fullLayout._infolayer,\"g\",\"dragcover\",(function(t){i._fullLayout._dragCover=t})),h.raiseToTop(this),a.interactionState.dragInProgress=a.node,F(a.node),a.interactionState.hovered&&(r.nodeEvents.unhover.apply(0,a.interactionState.hovered),a.interactionState.hovered=!1),\"snap\"===a.arrangement)){var o=a.traceId+\"|\"+a.key;a.forceLayouts[o]?a.forceLayouts[o].alpha(1):function(t,e,r,i){!function(t){for(var e=0;e<t.length;e++)t[e].y=(t[e].y0+t[e].y1)/2,t[e].x=(t[e].x0+t[e].x1)/2}(r.graph.nodes);var a=r.graph.nodes.filter((function(t){return t.originalX===r.node.originalX})).filter((function(t){return!t.partOfGroup}));r.forceLayouts[e]=n.forceSimulation(a).alphaDecay(0).force(\"collide\",n.forceCollide().radius((function(t){return t.dy/2+r.nodePad/2})).strength(1).iterations(l.forceIterations)).force(\"constrain\",function(t,e,r,n){return function(){for(var t=0,i=0;i<r.length;i++){var a=r[i];a===n.interactionState.dragInProgress?(a.x=a.lastDraggedX,a.y=a.lastDraggedY):(a.vx=(a.originalX-a.x)/l.forceTicksPerFrame,a.y=Math.min(n.size-a.dy/2,Math.max(a.dy/2,a.y))),t=Math.max(t,Math.abs(a.vx),Math.abs(a.vy))}!n.interactionState.dragInProgress&&t<.1&&n.forceLayouts[e].alpha()>0&&n.forceLayouts[e].alpha(0)}}(0,e,a,r)).stop()}(0,o,a),function(t,e,r,n,i){window.requestAnimationFrame((function a(){var o;for(o=0;o<l.forceTicksPerFrame;o++)r.forceLayouts[n].tick();if(function(t){for(var e=0;e<t.length;e++)t[e].y0=t[e].y-t[e].dy/2,t[e].y1=t[e].y0+t[e].dy,t[e].x0=t[e].x-t[e].dx/2,t[e].x1=t[e].x0+t[e].dx}(r.graph.nodes),r.sankey.update(r.graph),C(t.filter(B(r)),e),r.forceLayouts[n].alpha()>0)window.requestAnimationFrame(a);else{var s=r.node.originalX;r.node.x0=s-r.visibleWidth/2,r.node.x1=s+r.visibleWidth/2,R(r,i)}}))}(t,e,a,o,i)}})).on(\"drag\",(function(r){if(\"fixed\"!==r.arrangement){var n=a.event.x,i=a.event.y;\"snap\"===r.arrangement?(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2,r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2):(\"freeform\"===r.arrangement&&(r.node.x0=n-r.visibleWidth/2,r.node.x1=n+r.visibleWidth/2),i=Math.max(0,Math.min(r.size-r.visibleHeight/2,i)),r.node.y0=i-r.visibleHeight/2,r.node.y1=i+r.visibleHeight/2),F(r.node),\"snap\"!==r.arrangement&&(r.sankey.update(r.graph),C(t.filter(B(r)),e))}})).on(\"dragend\",(function(t){if(\"fixed\"!==t.arrangement){t.interactionState.dragInProgress=!1;for(var e=0;e<t.node.childrenNodes.length;e++)t.node.childrenNodes[e].x=t.node.x,t.node.childrenNodes[e].y=t.node.y;\"snap\"!==t.arrangement&&R(t,i)}}));t.on(\".drag\",null).call(o)}function R(t,e){for(var r=[],n=[],i=0;i<t.graph.nodes.length;i++){var a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}b.call(\"_guiRestyle\",e,{\"node.x\":[r],\"node.y\":[n]},t.trace.index).then((function(){e._fullLayout._dragCover&&e._fullLayout._dragCover.remove()}))}function F(t){t.lastDraggedX=t.x0+t.dx/2,t.lastDraggedY=t.y0+t.dy/2}function B(t){return function(e){return e.node.originalX===t.node.originalX}}e.exports=function(t,e,r,n,i){var o=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){o=!0}));var s=t._fullLayout._dragCover,g=r.filter((function(t){return y(t).trace.visible})).map(k.bind(null,n)),b=e.selectAll(\".\"+l.cn.sankey).data(g,m);b.exit().remove(),b.enter().append(\"g\").classed(l.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",\"auto\").attr(\"transform\",O),b.each((function(e,r){t._fullData[r]._sankey=e;var n=\"bgsankey-\"+e.trace.uid+\"-\"+r;h.ensureSingle(t._fullLayout._draggers,\"rect\",n),t._fullData[r]._bgRect=a.select(\".\"+n),t._fullData[r]._bgRect.style(\"pointer-events\",\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),b.transition().ease(l.ease).duration(l.duration).attr(\"transform\",O);var _=b.selectAll(\".\"+l.cn.sankeyLinks).data(v,m);_.enter().append(\"g\").classed(l.cn.sankeyLinks,!0).style(\"fill\",\"none\");var L=_.selectAll(\".\"+l.cn.sankeyLink).data((function(t){return t.graph.links.filter((function(t){return t.value})).map(A.bind(null,t))}),m);L.enter().append(\"path\").classed(l.cn.sankeyLink,!0).call(z,b,i.linkEvents),L.style(\"stroke\",(function(t){return I(t)?u.tinyRGB(c(t.linkLineColor)):t.tinyColorHue})).style(\"stroke-opacity\",(function(t){return I(t)?u.opacity(t.linkLineColor):t.tinyColorAlpha})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})).style(\"stroke-width\",(function(t){return I(t)?t.linkLineWidth:1})).attr(\"d\",M()),L.style(\"opacity\",(function(){return t._context.staticPlot||o||s?1:0})).transition().ease(l.ease).duration(l.duration).style(\"opacity\",1),L.exit().transition().ease(l.ease).duration(l.duration).style(\"opacity\",0).remove();var C=b.selectAll(\".\"+l.cn.sankeyNodeSet).data(v,m);C.enter().append(\"g\").classed(l.cn.sankeyNodeSet,!0),C.style(\"cursor\",(function(t){switch(t.arrangement){case\"fixed\":return\"default\";case\"perpendicular\":return\"ns-resize\";default:return\"move\"}}));var R=C.selectAll(\".\"+l.cn.sankeyNode).data((function(t){var e=t.graph.nodes;return function(t){var e,r=[];for(e=0;e<t.length;e++)t[e].originalX=(t[e].x0+t[e].x1)/2,t[e].originalY=(t[e].y0+t[e].y1)/2,-1===r.indexOf(t[e].originalX)&&r.push(t[e].originalX);for(r.sort((function(t,e){return t-e})),e=0;e<t.length;e++)t[e].originalLayerIndex=r.indexOf(t[e].originalX),t[e].originalLayer=t[e].originalLayerIndex/(r.length-1)}(e),e.map(S.bind(null,t))}),m);R.enter().append(\"g\").classed(l.cn.sankeyNode,!0).call(E).style(\"opacity\",(function(e){return!t._context.staticPlot&&!o||e.partOfGroup?0:1})),R.call(z,b,i.nodeEvents).call(D,L,i,t),R.transition().ease(l.ease).duration(l.duration).call(E).style(\"opacity\",(function(t){return t.partOfGroup?0:1})),R.exit().transition().ease(l.ease).duration(l.duration).style(\"opacity\",0).remove();var F=R.selectAll(\".\"+l.cn.nodeRect).data(v);F.enter().append(\"rect\").classed(l.cn.nodeRect,!0).call(P),F.style(\"stroke-width\",(function(t){return t.nodeLineWidth})).style(\"stroke\",(function(t){return u.tinyRGB(c(t.nodeLineColor))})).style(\"stroke-opacity\",(function(t){return u.opacity(t.nodeLineColor)})).style(\"fill\",(function(t){return t.tinyColorHue})).style(\"fill-opacity\",(function(t){return t.tinyColorAlpha})),F.transition().ease(l.ease).duration(l.duration).call(P);var B=R.selectAll(\".\"+l.cn.nodeLabel).data(v);B.enter().append(\"text\").classed(l.cn.nodeLabel,!0).style(\"cursor\",\"default\"),B.attr(\"data-notex\",1).text((function(t){return t.node.label})).each((function(e){var r=a.select(this);f.font(r,e.textFont),x.convertToTspans(r,t)})).style(\"text-shadow\",x.makeTextShadow(t._fullLayout.paper_bgcolor)).attr(\"text-anchor\",(function(t){return t.horizontal&&t.left?\"end\":\"start\"})).attr(\"transform\",(function(t){var e=a.select(this),r=x.lineCount(e),n=t.textFont.size*((r-1)*T-w),i=t.nodeLineWidth/2+3,o=((t.horizontal?t.visibleHeight:t.visibleWidth)-n)/2;t.horizontal&&(t.left?i=-i:i+=t.visibleWidth);var s=t.horizontal?\"\":\"scale(-1,1)\"+d(90);return p(t.horizontal?i:o,t.horizontal?o:i)+s})),B.transition().ease(l.ease).duration(l.duration)}},{\"../../components/color\":366,\"../../components/drawing\":388,\"../../constants/alignment\":471,\"../../lib\":503,\"../../lib/gup\":500,\"../../lib/svg_text_utils\":529,\"../../registry\":638,\"./constants\":919,\"@plotly/d3\":58,\"@plotly/d3-sankey\":57,\"@plotly/d3-sankey-circular\":56,\"d3-force\":111,\"d3-interpolate\":116,tinycolor2:312}],924:[function(t,e,r){\"use strict\";e.exports=function(t,e){for(var r=[],n=t.cd[0].trace,i=n._sankey.graph.nodes,a=0;a<i.length;a++){var o=i[a];if(!o.partOfGroup){var 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n=t(\"../../lib\"),i=t(\"../scatter/constants\"),a=t(\"../scatter/subtypes\"),o=t(\"../scatter/marker_defaults\"),s=t(\"../scatter/line_defaults\"),l=t(\"../scatter/line_shape_defaults\"),c=t(\"../scatter/text_defaults\"),u=t(\"../scatter/fillcolor_defaults\"),f=t(\"./attributes\");e.exports=function(t,e,r,h){function p(r,i){return n.coerce(t,e,f,r,i)}p(\"carpet\"),e.xaxis=\"x\",e.yaxis=\"y\";var d=p(\"a\"),g=p(\"b\"),m=Math.min(d.length,g.length);if(m){e._length=m,p(\"text\"),p(\"texttemplate\"),p(\"hovertext\"),p(\"mode\",m<i.PTS_LINESONLY?\"lines+markers\":\"lines\"),a.hasLines(e)&&(s(t,e,r,h,p),l(t,e,p),p(\"connectgaps\")),a.hasMarkers(e)&&o(t,e,r,h,p,{gradient:!0}),a.hasText(e)&&c(t,e,h,p);var 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n=t(\"../scatter/hover\"),i=t(\"../../lib\").fillText;e.exports=function(t,e,r,a){var o=n(t,e,r,a);if(o&&!1!==o[0].index){var s=o[0];if(void 0===s.index){var l=1-s.y0/t.ya._length,c=t.xa._length,u=c*l/2,f=c-u;return s.x0=Math.max(Math.min(s.x0,f),u),s.x1=Math.max(Math.min(s.x1,f),u),o}var h=s.cd[s.index];s.a=h.a,s.b=h.b,s.xLabelVal=void 0,s.yLabelVal=void 0;var p=s.trace,d=p._carpet,g=p._module.formatLabels(h,p);s.yLabel=g.yLabel,delete s.text;var m=[];if(!p.hovertemplate){var v=(h.hi||p.hoverinfo).split(\"+\");-1!==v.indexOf(\"all\")&&(v=[\"a\",\"b\",\"text\"]),-1!==v.indexOf(\"a\")&&y(d.aaxis,h.a),-1!==v.indexOf(\"b\")&&y(d.baxis,h.b),m.push(\"y: \"+s.yLabel),-1!==v.indexOf(\"text\")&&i(h,p,m),s.extraText=m.join(\"<br>\")}return o}function y(t,e){var r;r=t.labelprefix&&t.labelprefix.length>0?t.labelprefix.replace(/ = $/,\"\"):t._hovertitle,m.push(r+\": \"+e.toFixed(3)+t.labelsuffix)}}},{\"../../lib\":503,\"../scatter/hover\":937}],966:[function(t,e,r){\"use 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s,l,c,u=r[0][0].carpet,f={xaxis:i.getFromId(t,u.xaxis||\"x\"),yaxis:i.getFromId(t,u.yaxis||\"y\"),plot:e.plot};for(n(t,f,r,o),s=0;s<r.length;s++)l=r[s][0].trace,c=o.selectAll(\"g.trace\"+l.uid+\" .js-line\"),a.setClipUrl(c,r[s][0].carpet._clipPathId,t)}},{\"../../components/drawing\":388,\"../../plots/cartesian/axes\":554,\"../scatter/plot\":947}],968:[function(t,e,r){\"use strict\";var n=t(\"../../plots/template_attributes\").hovertemplateAttrs,i=t(\"../../plots/template_attributes\").texttemplateAttrs,a=t(\"../scatter/attributes\"),o=t(\"../../plots/attributes\"),s=t(\"../../components/colorscale/attributes\"),l=t(\"../../components/drawing/attributes\").dash,c=t(\"../../lib/extend\").extendFlat,u=t(\"../../plot_api/edit_types\").overrideAll,f=a.marker,h=a.line,p=f.line;e.exports=u({lon:{valType:\"data_array\"},lat:{valType:\"data_array\"},locations:{valType:\"data_array\"},locationmode:{valType:\"enumerated\",values:[\"ISO-3\",\"USA-states\",\"country 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n=t(\"../../lib\"),i=t(\"../scatter/subtypes\"),a=t(\"../scatter/marker_defaults\"),o=t(\"../scatter/line_defaults\"),s=t(\"../scatter/text_defaults\"),l=t(\"../scatter/fillcolor_defaults\"),c=t(\"./attributes\");e.exports=function(t,e,r,u){function f(r,i){return n.coerce(t,e,c,r,i)}var h,p=f(\"locations\");if(p&&p.length){var d,g=f(\"geojson\");(\"string\"==typeof g&&\"\"!==g||n.isPlainObject(g))&&(d=\"geojson-id\"),\"geojson-id\"===f(\"locationmode\",d)&&f(\"featureidkey\"),h=p.length}else{var m=f(\"lon\")||[],v=f(\"lat\")||[];h=Math.min(m.length,v.length)}h?(e._length=h,f(\"text\"),f(\"hovertext\"),f(\"hovertemplate\"),f(\"mode\"),i.hasLines(e)&&(o(t,e,r,u,f),f(\"connectgaps\")),i.hasMarkers(e)&&a(t,e,r,u,f,{gradient:!0}),i.hasText(e)&&(f(\"texttemplate\"),s(t,e,u,f)),f(\"fill\"),\"none\"!==e.fill&&l(t,e,r,f),n.coerceSelectionMarkerOpacity(e,f)):e.visible=!1}},{\"../../lib\":503,\"../scatter/fillcolor_defaults\":934,\"../scatter/line_defaults\":939,\"../scatter/marker_defaults\":945,\"../scatter/subtypes\":951,\"../scatter/text_defaults\":952,\"./attributes\":968}],971:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,n,i){t.lon=e.lon,t.lat=e.lat,t.location=e.loc?e.loc:null;var a=n[i];return a.fIn&&a.fIn.properties&&(t.properties=a.fIn.properties),t}},{}],972:[function(t,e,r){\"use strict\";var n=t(\"../../plots/cartesian/axes\");e.exports=function(t,e,r){var i={},a=r[e.geo]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},{\"../../plots/cartesian/axes\":554}],973:[function(t,e,r){\"use strict\";var n=t(\"../../components/fx\"),i=t(\"../../constants/numerical\").BADNUM,a=t(\"../scatter/get_trace_color\"),o=t(\"../../lib\").fillText,s=t(\"./attributes\");e.exports=function(t,e,r){var l=t.cd,c=l[0].trace,u=t.xa,f=t.ya,h=t.subplot,p=h.projection.isLonLatOverEdges,d=h.project;if(n.getClosest(l,(function(t){var n=t.lonlat;if(n[0]===i)return 1/0;if(p(n))return 1/0;var a=d(n),o=d([e,r]),s=Math.abs(a[0]-o[0]),l=Math.abs(a[1]-o[1]),c=Math.max(3,t.mrc||0);return Math.max(Math.sqrt(s*s+l*l)-c,1-3/c)}),t),!1!==t.index){var g=l[t.index],m=g.lonlat,v=[u.c2p(m),f.c2p(m)],y=g.mrc||1;t.x0=v[0]-y,t.x1=v[0]+y,t.y0=v[1]-y,t.y1=v[1]+y,t.loc=g.loc,t.lon=m[0],t.lat=m[1];var x={};x[c.geo]={_subplot:h};var b=c._module.formatLabels(g,c,x);return 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n;if(f.hasText(e)&&(n.text=y(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(e),n.markerSel=b(e,e.selected),n.markerUnsel=b(e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=g*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var 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if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var c=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){c=!0;break}var u=c||n.length>d.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(c&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:u,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis),u=c.getFromId(t,e.yaxis),f=r.length/2,h={};function p(t,i){var a=i._id.charAt(0),o=e[\"error_\"+a];if(o&&o.visible&&(\"linear\"===i.type||\"log\"===i.type)){for(var l=s(o),c={x:0,y:1}[a],u={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,g=-1/0,m=0,v=0;m<f;m++,v+=4){var y=t[m];if(n(y)){var x=r[2*m+c],b=l(y,m),_=b[0],w=b[1];if(n(_)&&n(w)){var T=y-_,k=y+w;p[v+u[0]]=x-i.c2l(T),p[v+u[1]]=i.c2l(k)-x,p[v+u[2]]=0,p[v+u[3]]=0,d=Math.min(d,y-_),g=Math.max(g,y+w)}}}h[a]={positions:r,errors:p,_bnds:[d,g]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var u=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(c)?c.length>1?c[i]:c[0]:c,g=m[p],v=m[d],y=u?u/.8+1:0,x=-v*y-.5*v;o.offset[i]=[g*y/h,x/h]}}return o}}},{\"../../components/drawing\":388,\"../../components/fx/helpers\":402,\"../../constants/interactions\":478,\"../../lib\":503,\"../../lib/gl_format_color\":499,\"../../plots/cartesian/axis_ids\":558,\"../../registry\":638,\"../scatter/make_bubble_size_func\":943,\"../scatter/subtypes\":951,\"./constants\":980,\"./helpers\":985,\"color-normalize\":89,\"fast-isnumeric\":190,\"svg-path-sdf\":310}],982:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../registry\"),a=t(\"./helpers\"),o=t(\"./attributes\"),s=t(\"../scatter/constants\"),l=t(\"../scatter/subtypes\"),c=t(\"../scatter/xy_defaults\"),u=t(\"../scatter/period_defaults\"),f=t(\"../scatter/marker_defaults\"),h=t(\"../scatter/line_defaults\"),p=t(\"../scatter/fillcolor_defaults\"),d=t(\"../scatter/text_defaults\");e.exports=function(t,e,r,g){function m(r,i){return n.coerce(t,e,o,r,i)}var v=!!t.marker&&a.isOpenSymbol(t.marker.symbol),y=l.isBubble(t),x=c(t,e,g,m);if(x){u(t,e,g,m),m(\"xhoverformat\"),m(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";m(\"text\"),m(\"hovertext\"),m(\"hovertemplate\"),m(\"mode\",b),l.hasLines(e)&&(m(\"connectgaps\"),h(t,e,r,g,m),m(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,g,m),m(\"marker.line.width\",v||y?1:0)),l.hasText(e)&&(m(\"texttemplate\"),d(t,e,g,m));var _=(e.line||{}).color,w=(e.marker||{}).color;m(\"fill\"),\"none\"!==e.fill&&p(t,e,r,m);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,m)}else e.visible=!1}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/constants\":930,\"../scatter/fillcolor_defaults\":934,\"../scatter/line_defaults\":939,\"../scatter/marker_defaults\":945,\"../scatter/period_defaults\":946,\"../scatter/subtypes\":951,\"../scatter/text_defaults\":952,\"../scatter/xy_defaults\":953,\"./attributes\":978,\"./helpers\":985}],983:[function(t,e,r){\"use strict\";var n=t(\"../../lib\"),i=t(\"../../components/color\"),a=t(\"../../constants/interactions\").DESELECTDIM;e.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,c=l._scene,u=l.index,f=c.selectBatch[u],h=c.unselectBatch[u],p=c.textOptions[u],d=c.textSelectedOptions[u]||{},g=c.textUnselectedOptions[u]||{},m=n.extendFlat({},p);if(f.length||h.length){var v=d.color,y=g.color,x=p.color,b=Array.isArray(x);for(m.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],m.color[r]=v||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;m.color[r]=y||(v?_:i.addOpacity(_,a))}}c.glText[u].update(m)}}},{\"../../components/color\":366,\"../../constants/interactions\":478,\"../../lib\":503}],984:[function(t,e,r){\"use strict\";var n=t(\"../scatter/format_labels\");e.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},{\"../scatter/format_labels\":935}],985:[function(t,e,r){\"use strict\";var n=t(\"./constants\");r.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},r.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},{\"./constants\":980}],986:[function(t,e,r){\"use strict\";var n=t(\"../../registry\"),i=t(\"../../lib\"),a=t(\"../scatter/get_trace_color\");function o(t,e,r,o){var s=t.xa,l=t.ya,c=t.distance,u=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var g=d&&d.line;g&&(h.mlc=Array.isArray(g.color)?g.color[f]:g.color,h.mlw=i.isArrayOrTypedArray(g.width)?g.width[f]:g.width);var m=d&&d.gradient;m&&\"none\"!==m.type&&(h.mgt=Array.isArray(m.type)?m.type[f]:m.type,h.mgc=Array.isArray(m.color)?m.color[f]:m.color);var v=s.c2p(h.x,!0),y=l.c2p(h.y,!0),x=h.mrc||1,b=o.hoverlabel;b&&(h.hbg=Array.isArray(b.bgcolor)?b.bgcolor[f]:b.bgcolor,h.hbc=Array.isArray(b.bordercolor)?b.bordercolor[f]:b.bordercolor,h.hts=i.isArrayOrTypedArray(b.font.size)?b.font.size[f]:b.font.size,h.htc=Array.isArray(b.font.color)?b.font.color[f]:b.font.color,h.htf=Array.isArray(b.font.family)?b.font.family[f]:b.font.family,h.hnl=i.isArrayOrTypedArray(b.namelength)?b.namelength[f]:b.namelength);var _=o.hoverinfo;_&&(h.hi=Array.isArray(_)?_[f]:_);var w=o.hovertemplate;w&&(h.ht=Array.isArray(w)?w[f]:w);var T={};T[t.index]=h;var k=o._origX,A=o._origY,M=i.extendFlat({},t,{color:a(o,h),x0:v-x,x1:v+x,xLabelVal:k?k[f]:h.x,y0:y-x,y1:y+x,yLabelVal:A?A[f]:h.y,cd:T,distance:c,spikeDistance:u,hovertemplate:h.ht});return h.htx?M.text=h.htx:h.tx?M.text=h.tx:o.text&&(M.text=o.text),i.fillText(h,o,M),n.getComponentMethod(\"errorbars\",\"hoverInfo\")(h,o,M),M}e.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,c,u,f,h,p,d,g=t.cd,m=g[0].t,v=g[0].trace,y=t.xa,x=t.ya,b=m.x,_=m.y,w=y.c2p(e),T=x.c2p(r),k=t.distance;if(m.tree){var A=y.p2c(w-k),M=y.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?m.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):m.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=m.ids;var L=k;if(\"x\"===n){var C=!!v.xperiodalignment,P=!!v.yperiodalignment;for(u=0;u<i.length;u++){if(l=b[a=i[u]],f=Math.abs(y.c2p(l)-w),C){var I=y.c2p(v._xStarts[a]),O=y.c2p(v._xEnds[a]);f=w>=Math.min(I,O)&&w<=Math.max(I,O)?0:1/0}if(f<L){if(L=f,c=_[a],h=x.c2p(c)-T,P){var z=x.c2p(v._yStarts[a]),D=x.c2p(v._yEnds[a]);h=T>=Math.min(z,D)&&T<=Math.max(z,D)?0:1/0}d=Math.sqrt(f*f+h*h),s=i[u]}}}else for(u=i.length-1;u>-1;u--)l=b[a=i[u]],c=_[a],f=y.c2p(l)-w,h=x.c2p(c)-T,(p=Math.sqrt(f*f+h*h))<L&&(L=d=p,s=a);return t.index=s,t.distance=L,t.dxy=d,void 0===s?[t]:[o(t,b,_,v)]},calcHover:o}},{\"../../lib\":503,\"../../registry\":638,\"../scatter/get_trace_color\":936}],987:[function(t,e,r){\"use strict\";var n=t(\"./hover\");e.exports={moduleType:\"trace\",name:\"scattergl\",basePlotModule:t(\"../../plots/cartesian\"),categories:[\"gl\",\"regl\",\"cartesian\",\"symbols\",\"errorBarsOK\",\"showLegend\",\"scatter-like\"],attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),crossTraceDefaults:t(\"../scatter/cross_trace_defaults\"),colorbar:t(\"../scatter/marker_colorbar\"),formatLabels:t(\"./format_labels\"),calc:t(\"./calc\"),plot:t(\"./plot\"),hoverPoints:n.hoverPoints,selectPoints:t(\"./select\"),meta:{}}},{\"../../plots/cartesian\":568,\"../scatter/cross_trace_defaults\":932,\"../scatter/marker_colorbar\":944,\"./attributes\":978,\"./calc\":979,\"./defaults\":982,\"./format_labels\":984,\"./hover\":986,\"./plot\":988,\"./select\":990}],988:[function(t,e,r){\"use strict\";var n=t(\"regl-scatter2d\"),i=t(\"regl-line2d\"),a=t(\"regl-error2d\"),o=t(\"gl-text\"),s=t(\"../../lib\"),l=t(\"../../components/dragelement/helpers\").selectMode,c=t(\"../../lib/prepare_regl\"),u=t(\"../scatter/subtypes\"),f=t(\"../scatter/link_traces\"),h=t(\"./edit_style\").styleTextSelection;function p(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,c=i.r*n,u=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-c-(1-e.domain[1])*f,o-u-(1-r.domain[1])*h]}e.exports=function(t,e,r){if(r.length){var d,g,m=t._fullLayout,v=e._scene,y=e.xaxis,x=e.yaxis;if(v)if(c(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"])){var b=v.count,_=m._glcanvas.data()[0].regl;if(f(t,e,r),v.dirty){if(!0===v.error2d&&(v.error2d=a(_)),!0===v.line2d&&(v.line2d=i(_)),!0===v.scatter2d&&(v.scatter2d=n(_)),!0===v.fill2d&&(v.fill2d=i(_)),!0===v.glText)for(v.glText=new Array(b),d=0;d<b;d++)v.glText[d]=new o(_);if(v.glText){if(b>v.glText.length){var w=b-v.glText.length;for(d=0;d<w;d++)v.glText.push(new o(_))}else if(b<v.glText.length){var T=v.glText.length-b;v.glText.splice(b,T).forEach((function(t){t.destroy()}))}for(d=0;d<b;d++)v.glText[d].update(v.textOptions[d])}if(v.line2d&&(v.line2d.update(v.lineOptions),v.lineOptions=v.lineOptions.map((function(t){if(t&&t.positions){for(var e=t.positions,r=0;r<e.length&&(isNaN(e[r])||isNaN(e[r+1]));)r+=2;for(var n=e.length-2;n>r&&(isNaN(e[n])||isNaN(e[n+1]));)n-=2;t.positions=e.slice(r,n+2)}return t})),v.line2d.update(v.lineOptions)),v.error2d){var k=(v.errorXOptions||[]).concat(v.errorYOptions||[]);v.error2d.update(k)}v.scatter2d&&v.scatter2d.update(v.markerOptions),v.fillOrder=s.repeat(null,b),v.fill2d&&(v.fillOptions=v.fillOptions.map((function(t,e){var n=r[e];if(t&&n&&n[0]&&n[0].trace){var i,a,o=n[0],s=o.trace,l=o.t,c=v.lineOptions[e],u=[];s._ownfill&&u.push(e),s._nexttrace&&u.push(e+1),u.length&&(v.fillOrder[e]=u);var f,h,p=[],d=c&&c.positions||l.positions;if(\"tozeroy\"===s.fill){for(f=0;f<d.length&&isNaN(d[f+1]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h+1]);)h-=2;0!==d[f+1]&&(p=[d[f],0]),p=p.concat(d.slice(f,h+2)),0!==d[h+1]&&(p=p.concat([d[h],0]))}else if(\"tozerox\"===s.fill){for(f=0;f<d.length&&isNaN(d[f]);)f+=2;for(h=d.length-2;h>f&&isNaN(d[h]);)h-=2;0!==d[f]&&(p=[0,d[f+1]]),p=p.concat(d.slice(f,h+2)),0!==d[h]&&(p=p.concat([0,d[h+1]]))}else if(\"toself\"===s.fill||\"tonext\"===s.fill){for(p=[],i=0,t.splitNull=!0,a=0;a<d.length;a+=2)(isNaN(d[a])||isNaN(d[a+1]))&&((p=p.concat(d.slice(i,a))).push(d[i],d[i+1]),p.push(null,null),i=a+2);p=p.concat(d.slice(i)),i&&p.push(d[i],d[i+1])}else{var g=s._nexttrace;if(g){var m=v.lineOptions[e+1];if(m){var y=m.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=g.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=v.lineOptions[e-1].positions,w=p.length/2,T=[i=w];for(a=0;a<_.length;a+=2)(isNaN(_[a])||isNaN(_[a+1]))&&(T.push(a/2+w+1),i=a+2);p=p.concat(_),t.hole=T}return t.fillmode=s.fill,t.opacity=s.opacity,t.positions=p,t}})),v.fill2d.update(v.fillOptions))}var A=m.dragmode,M=l(A),S=m.clickmode.indexOf(\"select\")>-1;for(d=0;d<b;d++){var E=r[d][0],L=E.trace,C=E.t,P=C.index,I=L._length,O=C.x,z=C.y;if(L.selectedpoints||M||S){if(M||(M=!0),L.selectedpoints){var D=v.selectBatch[P]=s.selIndices2selPoints(L),R={};for(g=0;g<D.length;g++)R[D[g]]=1;var F=[];for(g=0;g<I;g++)R[g]||F.push(g);v.unselectBatch[P]=F}var B=C.xpx=new Array(I),N=C.ypx=new Array(I);for(g=0;g<I;g++)B[g]=y.c2p(O[g]),N[g]=x.c2p(z[g])}else C.xpx=C.ypx=null}if(M){if(v.select2d||(v.select2d=n(m._glcanvas.data()[1].regl)),v.scatter2d){var j=new Array(b);for(d=0;d<b;d++)j[d]=v.selectBatch[d].length||v.unselectBatch[d].length?v.markerUnselectedOptions[d]:{};v.scatter2d.update(j)}v.select2d&&(v.select2d.update(v.markerOptions),v.select2d.update(v.markerSelectedOptions)),v.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};u.hasText(e)&&h(t)}))}else v.scatter2d&&v.scatter2d.update(v.markerOptions);var U={viewport:p(m,y,x,t._context.plotGlPixelRatio),range:[(y._rl||y.range)[0],(x._rl||x.range)[0],(y._rl||y.range)[1],(x._rl||x.range)[1]]},V=s.repeat(U,v.count);v.fill2d&&v.fill2d.update(V),v.line2d&&v.line2d.update(V),v.error2d&&v.error2d.update(V.concat(V)),v.scatter2d&&v.scatter2d.update(V),v.select2d&&v.select2d.update(V),v.glText&&v.glText.forEach((function(t){t.update(U)}))}else v.init()}}},{\"../../components/dragelement/helpers\":384,\"../../lib\":503,\"../../lib/prepare_regl\":516,\"../scatter/link_traces\":942,\"../scatter/subtypes\":951,\"./edit_style\":983,\"gl-text\":225,\"regl-error2d\":279,\"regl-line2d\":280,\"regl-scatter2d\":281}],989:[function(t,e,r){\"use strict\";var n=t(\"../../lib\");e.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var 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_.remove();var D=null,R={};v&&_.each((function(t){R[b.getPtId(t)]={rpx0:t.rpx0,rpx1:t.rpx1,x0:t.x0,x1:t.x1,transform:t.transform},!D&&b.isEntry(t)&&(D=t)}));var F=function(t){return i.partition().size([2*Math.PI,t.height+1])(t)}(M).descendants(),B=M.height+1,N=0,j=S;T.hasMultipleRoots&&b.isHierarchyRoot(M)&&(F=F.slice(1),B-=1,N=1,j+=1),F=F.filter((function(t){return t.y1<=j}));var U=p(k.rotation);U&&F.forEach((function(t){t.x0+=U,t.x1+=U}));var V=Math.min(B,S),H=function(t){return(t-N)/V*I},q=function(t,e){return[t*Math.cos(e),-t*Math.sin(e)]},G=function(t){return s.pathAnnulus(t.rpx0,t.rpx1,t.x0,t.x1,O,z)},Y=function(t){return O+w(t)[0]*(t.transform.rCenter||0)+(t.transform.x||0)},W=function(t){return z+w(t)[1]*(t.transform.rCenter||0)+(t.transform.y||0)};(_=_.data(F,b.getPtId)).enter().append(\"g\").classed(\"slice\",!0),v?_.exit().transition().each((function(){var t=n.select(this);t.select(\"path.surface\").transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=b.getPtId(t),n=R[r],i=R[b.getPtId(M)];if(i){var o=(t.x1>i.x1?2*Math.PI:0)+U;e=t.rpx1<i.rpx1?{x0:t.x0,x1:t.x1,rpx0:0,rpx1:0}:{x0:o,x1:o,rpx0:t.rpx0,rpx1:t.rpx1}}else{var s,l=b.getPtId(t.parent);_.each((function(t){if(b.getPtId(t)===l)return s=t}));var c,u=s.children;u.forEach((function(t,e){if(b.getPtId(t)===r)return c=e}));var f=u.length,h=a(s.x0,s.x1);e={rpx0:I,rpx1:I,x0:h(c/f),x1:h((c+1)/f)}}return a(n,e)}(t);return function(t){return G(e(t))}})),t.select(\"g.slicetext\").attr(\"opacity\",0)})).remove():_.exit().remove(),_.order();var X=null;if(v&&D){var Z=b.getPtId(D);_.each((function(t){null===X&&b.getPtId(t)===Z&&(X=t.x1)}))}var J=_;function K(t){var e=t.parent,r=R[b.getPtId(e)],n={};if(r){var i=e.children,o=i.indexOf(t),s=i.length,l=a(r.x0,r.x1);n.x0=l(o/s),n.x1=l(o/s)}else n.x0=n.x1=0;return n}v&&(J=J.transition().each(\"end\",(function(){var e=n.select(this);b.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),J.each((function(i){var c=n.select(this),f=s.ensureSingle(c,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",\"all\")}));i.rpx0=H(i.y0),i.rpx1=H(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=q(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),v?f.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=R[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(D)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+U;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,K(t));else e={rpx0:0,rpx1:0};else e={x0:U,x1:U};return a(e,n)}(t);return function(t){return G(e(t))}})):f.attr(\"d\",G),c.call(y,M,t,e,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(m,i,k);var p=s.ensureSingle(c,\"g\",\"slicetext\"),_=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),w=s.ensureUniformFontSize(t,b.determineTextFont(k,i,h.font));_.text(r.formatSliceLabel(i,M,k,e,h)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,w).call(l.convertToTspans,t);var A=o.bBox(_.node());i.transform=g(A,i,T),i.transform.targetX=Y(i),i.transform.targetY=W(i);var S=function(t,e){var r=t.transform;return d(r,e),r.fontSize=w.size,u(k.type,r,h),s.getTextTransform(r)};v?_.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=R[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},D)if(t.parent)if(X){var i=t.x1>X?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,K(t));else e.x0=e.x1=U;else e.x0=e.x1=U;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),c=a(e.x0,t.x0),f=a(e.x1,t.x1),p=a(e.transform.scale,n.scale),d=a(e.transform.rotate,n.rotate),g=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,m=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=c(t),i=f(t),a=function(t){return m(Math.pow(t,g))}(t),s={pxmid:q(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return u(k.type,n,h),{transform:{targetX:Y(s),targetY:W(s),scale:p(t),rotate:d(t),rCenter:a}}}}(t);return function(t){return S(e(t),A)}})):_.attr(\"transform\",S(i,A))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}r.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,c=!r,u=!s.uniformtext.mode&&b.hasTransition(r);(f(\"sunburst\",s),(a=l.selectAll(\"g.trace.sunburst\").data(e,(function(t){return t[0].trace.uid}))).enter().append(\"g\").classed(\"trace\",!0).classed(\"sunburst\",!0).attr(\"stroke-linejoin\",\"round\"),a.order(),u)?(i&&(o=i()),n.transition().duration(r.duration).ease(r.easing).each(\"end\",(function(){o&&o()})).each(\"interrupt\",(function(){o&&o()})).each((function(){l.selectAll(\"g.trace\").each((function(e){_(t,e,this,r)}))}))):(a.each((function(e){_(t,e,this,r)})),s.uniformtext.mode&&v(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\"));c&&a.exit().remove()},r.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,c=n[0],u=t.data.data,f=c.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var g,m=o.split(\"+\"),v=function(t){return-1!==m.indexOf(t)},y=[];if(v(\"label\")&&u.label&&y.push(u.label),u.hasOwnProperty(\"v\")&&v(\"value\")&&y.push(b.formatValue(u.v,l)),!h){v(\"current path\")&&y.push(b.getPath(t.data));var x=0;v(\"percent parent\")&&x++,v(\"percent entry\")&&x++,v(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){g=b.formatPercent(w,l),_&&(g+=\" of \"+t),y.push(g)};v(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),v(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),v(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return v(\"text\")&&(g=s.castOption(r,u.i,\"text\"),s.isValidTextValue(g)&&y.push(g)),y.join(\"<br>\")}var k=s.castOption(r,u.i,\"texttemplate\");if(!k)return\"\";var A={};u.label&&(A.label=u.label),u.hasOwnProperty(\"v\")&&(A.value=u.v,A.valueLabel=b.formatValue(u.v,l)),A.currentPath=b.getPath(t.data),h||(A.percentParent=d/b.getValue(p),A.percentParentLabel=b.formatPercent(A.percentParent,l),A.parent=b.getPtLabel(p)),A.percentEntry=d/b.getValue(e),A.percentEntryLabel=b.formatPercent(A.percentEntry,l),A.entry=b.getPtLabel(e),A.percentRoot=d/b.getValue(f),A.percentRootLabel=b.formatPercent(A.percentRoot,l),A.root=b.getPtLabel(f),u.hasOwnProperty(\"color\")&&(A.color=u.color);var M=s.castOption(r,u.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,u.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},{\"../../components/drawing\":388,\"../../lib\":503,\"../../lib/svg_text_utils\":529,\"../bar/style\":662,\"../bar/uniform_text\":664,\"../pie/helpers\":905,\"../pie/plot\":909,\"./constants\":1048,\"./fx\":1050,\"./helpers\":1051,\"./style\":1056,\"@plotly/d3\":58,\"d3-hierarchy\":115,\"d3-interpolate\":116}],1056:[function(t,e,r){\"use strict\";var n=t(\"@plotly/d3\"),i=t(\"../../components/color\"),a=t(\"../../lib\"),o=t(\"../bar/uniform_text\").resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,\"marker.line.color\")||i.defaultLine,c=a.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",c).call(i.fill,n.color).call(i.stroke,l).style(\"opacity\",o?r.leaf.opacity:null)}e.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\"opacity\",r.opacity),e.selectAll(\"path.surface\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},{\"../../components/color\":366,\"../../lib\":503,\"../bar/uniform_text\":664,\"@plotly/d3\":58}],1057:[function(t,e,r){\"use strict\";var n=t(\"../../components/color\"),i=t(\"../../components/colorscale/attributes\"),a=t(\"../../plots/cartesian/axis_format_attributes\").axisHoverFormat,o=t(\"../../plots/template_attributes\").hovertemplateAttrs,s=t(\"../../plots/attributes\"),l=t(\"../../lib/extend\").extendFlat,c=t(\"../../plot_api/edit_types\").overrideAll;function u(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=e.exports=c(l({z:{valType:\"data_array\"},x:{valType:\"data_array\"},y:{valType:\"data_array\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0},hovertemplate:o(),xhoverformat:a(\"x\"),yhoverformat:a(\"y\"),zhoverformat:a(\"z\"),connectgaps:{valType:\"boolean\",dflt:!1,editType:\"calc\"},surfacecolor:{valType:\"data_array\"}},i(\"\",{colorAttr:\"z or surfacecolor\",showScaleDflt:!0,autoColorDflt:!1,editTypeOverride:\"calc\"}),{contours:{x:u(),y:u(),z:u()},hidesurface:{valType:\"boolean\",dflt:!1},lightposition:{x:{valType:\"number\",min:-1e5,max:1e5,dflt:10},y:{valType:\"number\",min:-1e5,max:1e5,dflt:1e4},z:{valType:\"number\",min:-1e5,max:1e5,dflt:0}},lighting:{ambient:{valType:\"number\",min:0,max:1,dflt:.8},diffuse:{valType:\"number\",min:0,max:1,dflt:.8},specular:{valType:\"number\",min:0,max:2,dflt:.05},roughness:{valType:\"number\",min:0,max:1,dflt:.5},fresnel:{valType:\"number\",min:0,max:5,dflt:.2}},opacity:{valType:\"number\",min:0,max:1,dflt:1},opacityscale:{valType:\"any\",editType:\"calc\"},_deprecated:{zauto:l({},i.zauto,{}),zmin:l({},i.zmin,{}),zmax:l({},i.zmax,{})},hoverinfo:l({},s.hoverinfo),showlegend:l({},s.showlegend,{dflt:!1})}),\"calc\",\"nested\");f.x.editType=f.y.editType=f.z.editType=\"calc+clearAxisTypes\",f.transforms=void 0},{\"../../components/color\":366,\"../../components/colorscale/attributes\":373,\"../../lib/extend\":493,\"../../plot_api/edit_types\":536,\"../../plots/attributes\":550,\"../../plots/cartesian/axis_format_attributes\":557,\"../../plots/template_attributes\":633}],1058:[function(t,e,r){\"use strict\";var n=t(\"../../components/colorscale/calc\");e.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},{\"../../components/colorscale/calc\":374}],1059:[function(t,e,r){\"use strict\";var n=t(\"../../../stackgl_modules\").gl_surface3d,i=t(\"../../../stackgl_modules\").ndarray,a=t(\"../../../stackgl_modules\").ndarray_linear_interpolate.d2,o=t(\"../heatmap/interp2d\"),s=t(\"../heatmap/find_empties\"),l=t(\"../../lib\").isArrayOrTypedArray,c=t(\"../../lib/gl_format_color\").parseColorScale,u=t(\"../../lib/str2rgbarray\"),f=t(\"../../components/colorscale\").extractOpts;function h(t,e,r){this.scene=t,this.uid=r,this.surface=e,this.data=null,this.showContour=[!1,!1,!1],this.contourStart=[null,null,null],this.contourEnd=[null,null,null],this.contourSize=[0,0,0],this.minValues=[1/0,1/0,1/0],this.maxValues=[-1/0,-1/0,-1/0],this.dataScaleX=1,this.dataScaleY=1,this.refineData=!0,this.objectOffset=[0,0,0]}var p=h.prototype;p.getXat=function(t,e,r,n){var i=l(this.data.x)?l(this.data.x[0])?this.data.x[e][t]:this.data.x[t]:t;return void 0===r?i:n.d2l(i,0,r)},p.getYat=function(t,e,r,n){var i=l(this.data.y)?l(this.data.y[0])?this.data.y[e][t]:this.data.y[e]:e;return void 0===r?i:n.d2l(i,0,r)},p.getZat=function(t,e,r,n){var i=this.data.z[e][t];return null===i&&this.data.connectgaps&&this.data._interpolatedZ&&(i=this.data._interpolatedZ[e][t]),void 0===r?i:n.d2l(i,0,r)},p.handlePick=function(t){if(t.object===this.surface){var e=(t.data.index[0]-1)/this.dataScaleX-1,r=(t.data.index[1]-1)/this.dataScaleY-1,n=Math.max(Math.min(Math.round(e),this.data.z[0].length-1),0),i=Math.max(Math.min(Math.round(r),this.data._ylength-1),0);t.index=[n,i],t.traceCoordinate=[this.getXat(n,i),this.getYat(n,i),this.getZat(n,i)],t.dataCoordinate=[this.getXat(n,i,this.data.xcalendar,this.scene.fullSceneLayout.xaxis),this.getYat(n,i,this.data.ycalendar,this.scene.fullSceneLayout.yaxis),this.getZat(n,i,this.data.zcalendar,this.scene.fullSceneLayout.zaxis)];for(var a=0;a<3;a++){var o=t.dataCoordinate[a];null!=o&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var s=this.data.hovertext||this.data.text;return Array.isArray(s)&&s[i]&&void 0!==s[i][n]?t.textLabel=s[i][n]:t.textLabel=s||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var 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x=[];for(e=0;e<3;e++)for(x[e]=[],r=0;r<m;r++)x[e][r]=[];for(r=0;r<m;r++)for(n=0;n<v;n++)x[0][r][n]=this.getXat(r,n,t.xcalendar,h.xaxis),x[1][r][n]=this.getYat(r,n,t.ycalendar,h.yaxis),x[2][r][n]=this.getZat(r,n,t.zcalendar,h.zaxis);if(t.connectgaps)for(t._emptypoints=s(x[2]),o(x[2],t._emptypoints),t._interpolatedZ=[],r=0;r<m;r++)for(t._interpolatedZ[r]=[],n=0;n<v;n++)t._interpolatedZ[r][n]=x[2][r][n];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null==(a=x[e][r][n])?x[e][r][n]=NaN:a=x[e][r][n]*=g[e];for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(this.minValues[e]>a&&(this.minValues[e]=a),this.maxValues[e]<a&&(this.maxValues[e]=a));for(e=0;e<3;e++)this.objectOffset[e]=.5*(this.minValues[e]+this.maxValues[e]);for(e=0;e<3;e++)for(r=0;r<m;r++)for(n=0;n<v;n++)null!=(a=x[e][r][n])&&(x[e][r][n]-=this.objectOffset[e]);var b=[i(new Float32Array(m*v),[m,v]),i(new Float32Array(m*v),[m,v]),i(new 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A=[!0,!0,!0],M=[\"x\",\"y\",\"z\"];for(e=0;e<3;++e){var S=t.contours[M[e]];A[e]=S.highlight,w.showContour[e]=S.show||S.highlight,w.showContour[e]&&(w.contourProject[e]=[S.project.x,S.project.y,S.project.z],S.show?(this.showContour[e]=!0,w.levels[e]=y[e],p.highlightColor[e]=w.contourColor[e]=u(S.color),S.usecolormap?p.highlightTint[e]=w.contourTint[e]=0:p.highlightTint[e]=w.contourTint[e]=1,w.contourWidth[e]=S.width,this.contourStart[e]=S.start,this.contourEnd[e]=S.end,this.contourSize[e]=S.size):(this.showContour[e]=!1,this.contourStart[e]=null,this.contourEnd[e]=null,this.contourSize[e]=0),S.highlight&&(w.dynamicColor[e]=u(S.highlightcolor),w.dynamicWidth[e]=S.highlightwidth))}(function(t){var e=t[0].rgb,r=t[t.length-1].rgb;return e[0]===r[0]&&e[1]===r[1]&&e[2]===r[2]&&e[3]===r[3]})(d)&&(w.vertexColor=!0),w.objectOffset=this.objectOffset,w.coords=b,p.update(w),p.visible=t.visible,p.enableDynamic=A,p.enableHighlight=A,p.snapToData=!0,\"lighting\"in 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i=n(\"opacityscale\");\"max\"===i?e.opacityscale=[[0,.1],[1,1]]:\"min\"===i?e.opacityscale=[[0,1],[1,.1]]:\"extremes\"===i?e.opacityscale=function(t,e){for(var r=[],n=0;n<32;n++){var i=n/31,a=e+(1-e)*(1-Math.pow(Math.sin(t*i*Math.PI),2));r.push([i,Math.max(0,Math.min(1,a))])}return r}(1,.1):function(t){var e=0;if(!Array.isArray(t)||t.length<2)return!1;if(!t[0]||!t[t.length-1])return!1;if(0!=+t[0][0]||1!=+t[t.length-1][0])return!1;for(var r=0;r<t.length;r++){var n=t[r];if(2!==n.length||+n[0]<e)return!1;e=+n[0]}return!0}(i)||(e.opacityscale=void 0)}function l(t,e,r){e in t&&!(r in t)&&(t[r]=t[e])}e.exports={supplyDefaults:function(t,e,r,c){var u,f;function h(r,n){return i.coerce(t,e,o,r,n)}var 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\",cn:{table:\"table\",tableControlView:\"table-control-view\",scrollBackground:\"scroll-background\",yColumn:\"y-column\",columnBlock:\"column-block\",scrollAreaClip:\"scroll-area-clip\",scrollAreaClipRect:\"scroll-area-clip-rect\",columnBoundary:\"column-boundary\",columnBoundaryClippath:\"column-boundary-clippath\",columnBoundaryRect:\"column-boundary-rect\",columnCells:\"column-cells\",columnCell:\"column-cell\",cellRect:\"cell-rect\",cellText:\"cell-text\",cellTextHolder:\"cell-text-holder\",scrollbarKit:\"scrollbar-kit\",scrollbar:\"scrollbar\",scrollbarSlider:\"scrollbar-slider\",scrollbarGlyph:\"scrollbar-glyph\",scrollbarCaptureZone:\"scrollbar-capture-zone\"}}},{}],1066:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"../../lib/extend\").extendFlat,a=t(\"fast-isnumeric\");function o(t){if(Array.isArray(t)){for(var e=0,r=0;r<t.length;r++)e=Math.max(e,o(t[r]));return e}return t}function s(t,e){return t+e}function l(t){var e,r=t.slice(),n=1/0,i=0;for(e=0;e<r.length;e++)Array.isArray(r[e])||(r[e]=[r[e]]),n=Math.min(n,r[e].length),i=Math.max(i,r[e].length);if(n!==i)for(e=0;e<r.length;e++){var a=i-r[e].length;a&&(r[e]=r[e].concat(c(a)))}return r}function c(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=\"\";return e}function u(t){return t.calcdata.columns.reduce((function(e,r){return r.xIndex<t.xIndex?e+r.columnWidth:e}),0)}function f(t,e){return Object.keys(t).map((function(r){return i({},t[r],{auxiliaryBlocks:e})}))}function h(t,e){for(var r,n={},i=0,a=0,o={firstRowIndex:null,lastRowIndex:null,rows:[]},s=0,l=0,c=0;c<t.length;c++)r=t[c],o.rows.push({rowIndex:c,rowHeight:r}),((a+=r)>=e||c===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=c,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=c+1,a=0);return n}e.exports=function(t,e){var r=l(e.cells.values),p=function(t){return t.slice(e.header.values.length,t.length)},d=l(e.header.values);d.length&&!d[0].length&&(d[0]=[\"\"],d=l(d));var g=d.concat(p(r).map((function(){return c((d[0]||[\"\"]).length)}))),m=e.domain,v=Math.floor(t._fullLayout._size.w*(m.x[1]-m.x[0])),y=Math.floor(t._fullLayout._size.h*(m.y[1]-m.y[0])),x=e.header.values.length?g[0].map((function(){return e.header.height})):[n.emptyHeaderHeight],b=r.length?r[0].map((function(){return e.cells.height})):[],_=x.reduce(s,0),w=h(b,y-_+n.uplift),T=f(h(x,_),[]),k=f(w,T),A={},M=e._fullInput.columnorder.concat(p(r.map((function(t,e){return e})))),S=g.map((function(t,r){var n=Array.isArray(e.columnwidth)?e.columnwidth[Math.min(r,e.columnwidth.length-1)]:e.columnwidth;return a(n)?Number(n):1})),E=S.reduce(s,0);S=S.map((function(t){return t/E*v}));var L=Math.max(o(e.header.line.width),o(e.cells.line.width)),C={key:e.uid+t._context.staticPlot,translateX:m.x[0]*t._fullLayout._size.w,translateY:t._fullLayout._size.h*(1-m.y[1]),size:t._fullLayout._size,width:v,maxLineWidth:L,height:y,columnOrder:M,groupHeight:y,rowBlocks:k,headerRowBlocks:T,scrollY:0,cells:i({},e.cells,{values:r}),headerCells:i({},e.header,{values:g}),gdColumns:g.map((function(t){return t[0]})),gdColumnsOriginalOrder:g.map((function(t){return t[0]})),prevPages:[0,0],scrollbarState:{scrollbarScrollInProgress:!1},columns:g.map((function(t,e){var r=A[t];return A[t]=(r||0)+1,{key:t+\"__\"+A[t],label:t,specIndex:e,xIndex:M[e],xScale:u,x:void 0,calcdata:void 0,columnWidth:S[e]}}))};return C.columns.forEach((function(t){t.calcdata=C,t.x=u(t)})),C}},{\"../../lib/extend\":493,\"./constants\":1065,\"fast-isnumeric\":190}],1067:[function(t,e,r){\"use strict\";var n=t(\"../../lib/extend\").extendFlat;r.splitToPanels=function(t){var e=[0,0],r=n({},t,{key:\"header\",type:\"header\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!0,values:t.calcdata.headerCells.values[t.specIndex],rowBlocks:t.calcdata.headerRowBlocks,calcdata:n({},t.calcdata,{cells:t.calcdata.headerCells})});return[n({},t,{key:\"cells1\",type:\"cells\",page:0,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),n({},t,{key:\"cells2\",type:\"cells\",page:1,prevPages:e,currentRepaint:[null,null],dragHandle:!1,values:t.calcdata.cells.values[t.specIndex],rowBlocks:t.calcdata.rowBlocks}),r]},r.splitToCells=function(t){var e=function(t){var e=t.rowBlocks[t.page],r=e?e.rows[0].rowIndex:0,n=e?r+e.rows.length:0;return[r,n]}(t);return(t.values||[]).slice(e[0],e[1]).map((function(r,n){return{keyWithinBlock:n+(\"string\"==typeof r&&r.match(/[<$&> 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a.indexOf(t)})),s=o.length;s<n;s++)o.push(s);e(\"columnorder\",o)}(e,s),s(\"cells.values\"),s(\"cells.format\"),s(\"cells.align\"),s(\"cells.prefix\"),s(\"cells.suffix\"),s(\"cells.height\"),s(\"cells.line.width\"),s(\"cells.line.color\"),s(\"cells.fill.color\"),n.coerceFont(s,\"cells.font\",n.extendFlat({},o.font)),e._length=null}},{\"../../lib\":503,\"../../plots/domain\":584,\"./attributes\":1062}],1069:[function(t,e,r){\"use strict\";e.exports={attributes:t(\"./attributes\"),supplyDefaults:t(\"./defaults\"),calc:t(\"./calc\"),plot:t(\"./plot\"),moduleType:\"trace\",name:\"table\",basePlotModule:t(\"./base_plot\"),categories:[\"noOpacity\"],meta:{}}},{\"./attributes\":1062,\"./base_plot\":1063,\"./calc\":1064,\"./defaults\":1068,\"./plot\":1070}],1070:[function(t,e,r){\"use strict\";var n=t(\"./constants\"),i=t(\"@plotly/d3\"),a=t(\"../../lib\").numberFormat,o=t(\"../../lib/gup\"),s=t(\"../../components/drawing\"),l=t(\"../../lib/svg_text_utils\"),c=t(\"../../lib\").raiseToTop,u=t(\"../../lib\").strTranslate,f=t(\"../../lib\").cancelTransition,h=t(\"./data_preparation_helper\"),p=t(\"./data_split_helpers\"),d=t(\"../../components/color\");function g(t){return Math.ceil(t.calcdata.maxLineWidth/2)}function m(t,e){return\"clip\"+t._fullLayout._uid+\"_scrollAreaBottomClip_\"+e.key}function v(t,e){return\"clip\"+t._fullLayout._uid+\"_columnBoundaryClippath_\"+e.calcdata.key+\"_\"+e.specIndex}function y(t){return[].concat.apply([],t.map((function(t){return t}))).map((function(t){return t.__data__}))}function x(t,e,r){var a=t.selectAll(\".\"+n.cn.scrollbarKit).data(o.repeat,o.keyFun);a.enter().append(\"g\").classed(n.cn.scrollbarKit,!0).style(\"shape-rendering\",\"geometricPrecision\"),a.each((function(t){var e=t.scrollbarState;e.totalHeight=function(t){var e=t.rowBlocks;return D(e,e.length-1)+(e.length?R(e[e.length-1],1/0):1)}(t),e.scrollableAreaHeight=t.groupHeight-S(t),e.currentlyVisibleHeight=Math.min(e.totalHeight,e.scrollableAreaHeight),e.ratio=e.currentlyVisibleHeight/e.totalHeight,e.barLength=Math.max(e.ratio*e.currentlyVisibleHeight,n.goldenRatio*n.scrollbarWidth),e.barWiggleRoom=e.currentlyVisibleHeight-e.barLength,e.wiggleRoom=Math.max(0,e.totalHeight-e.scrollableAreaHeight),e.topY=0===e.barWiggleRoom?0:t.scrollY/e.wiggleRoom*e.barWiggleRoom,e.bottomY=e.topY+e.barLength,e.dragMultiplier=e.wiggleRoom/e.barWiggleRoom})).attr(\"transform\",(function(t){var e=t.width+n.scrollbarWidth/2+n.scrollbarOffset;return u(e,S(t))}));var s=a.selectAll(\".\"+n.cn.scrollbar).data(o.repeat,o.keyFun);s.enter().append(\"g\").classed(n.cn.scrollbar,!0);var l=s.selectAll(\".\"+n.cn.scrollbarSlider).data(o.repeat,o.keyFun);l.enter().append(\"g\").classed(n.cn.scrollbarSlider,!0),l.attr(\"transform\",(function(t){return u(0,t.scrollbarState.topY||0)}));var c=l.selectAll(\".\"+n.cn.scrollbarGlyph).data(o.repeat,o.keyFun);c.enter().append(\"line\").classed(n.cn.scrollbarGlyph,!0).attr(\"stroke\",\"black\").attr(\"stroke-width\",n.scrollbarWidth).attr(\"stroke-linecap\",\"round\").attr(\"y1\",n.scrollbarWidth/2),c.attr(\"y2\",(function(t){return t.scrollbarState.barLength-n.scrollbarWidth/2})).attr(\"stroke-opacity\",(function(t){return t.columnDragInProgress||!t.scrollbarState.barWiggleRoom||r?0:.4})),c.transition().delay(0).duration(0),c.transition().delay(n.scrollbarHideDelay).duration(n.scrollbarHideDuration).attr(\"stroke-opacity\",0);var f=s.selectAll(\".\"+n.cn.scrollbarCaptureZone).data(o.repeat,o.keyFun);f.enter().append(\"line\").classed(n.cn.scrollbarCaptureZone,!0).attr(\"stroke\",\"white\").attr(\"stroke-opacity\",.01).attr(\"stroke-width\",n.scrollbarCaptureWidth).attr(\"stroke-linecap\",\"butt\").attr(\"y1\",0).on(\"mousedown\",(function(r){var n=i.event.y,a=this.getBoundingClientRect(),o=r.scrollbarState,s=n-a.top,l=i.scale.linear().domain([0,o.scrollableAreaHeight]).range([0,o.totalHeight]).clamp(!0);o.topY<=s&&s<=o.bottomY||L(e,t,null,l(s-o.barLength/2))(r)})).call(i.behavior.drag().origin((function(t){return i.event.stopPropagation(),t.scrollbarState.scrollbarScrollInProgress=!0,t})).on(\"drag\",L(e,t)).on(\"dragend\",(function(){}))),f.attr(\"y2\",(function(t){return t.scrollbarState.scrollableAreaHeight})),e._context.staticPlot&&(c.remove(),f.remove())}function b(t,e,r,a){var l=function(t){var e=t.selectAll(\".\"+n.cn.columnCell).data(p.splitToCells,(function(t){return t.keyWithinBlock}));return e.enter().append(\"g\").classed(n.cn.columnCell,!0),e.exit().remove(),e}(function(t){var e=t.selectAll(\".\"+n.cn.columnCells).data(o.repeat,o.keyFun);return e.enter().append(\"g\").classed(n.cn.columnCells,!0),e.exit().remove(),e}(r));!function(t){t.each((function(t,e){var 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n=t[Math.min(e,t.length-1)];return Array.isArray(n)?n[Math.min(r,n.length-1)]:n}return t}function k(t,e,r){t.transition().ease(n.releaseTransitionEase).duration(n.releaseTransitionDuration).attr(\"transform\",u(e.x,r))}function A(t){return\"cells\"===t.type}function M(t){return\"header\"===t.type}function S(t){return(t.rowBlocks.length?t.rowBlocks[0].auxiliaryBlocks:[]).reduce((function(t,e){return t+R(e,1/0)}),0)}function E(t,e,r){var n=y(e)[0];if(void 0!==n){var i=n.rowBlocks,a=n.calcdata,o=D(i,i.length),s=n.calcdata.groupHeight-S(n),l=a.scrollY=Math.max(0,Math.min(o-s,a.scrollY)),c=function(t,e,r){for(var n=[],i=0,a=0;a<t.length;a++){for(var o=t[a],s=o.rows,l=0,c=0;c<s.length;c++)l+=s[c].rowHeight;o.allRowsHeight=l;e<i+l&&e+r>i&&n.push(a),i+=l}return n}(i,l,s);1===c.length&&(c[0]===i.length-1?c.unshift(c[0]-1):c.push(c[0]+1)),c[0]%2&&c.reverse(),e.each((function(t,e){t.page=c[e],t.scrollY=l})),e.attr(\"transform\",(function(t){var e=D(t.rowBlocks,t.page)-t.scrollY;return 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this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return 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0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,c=0,u=0|o[0],f=8191&u,h=u>>>13,p=0|o[1],d=8191&p,g=p>>>13,m=0|o[2],v=8191&m,y=m>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],I=8191&P,O=P>>>13,z=0|o[8],D=8191&z,R=z>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Y=0|s[2],W=8191&Y,X=Y>>>13,Z=0|s[3],J=8191&Z,K=Z>>>13,Q=0|s[4],$=8191&Q,tt=Q>>>13,et=0|s[5],rt=8191&et,nt=et>>>13,it=0|s[6],at=8191&it,ot=it>>>13,st=0|s[7],lt=8191&st,ct=st>>>13,ut=0|s[8],ft=8191&ut,ht=ut>>>13,pt=0|s[9],dt=8191&pt,gt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var mt=(c+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;c=((a=Math.imul(h,V))+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(g,U)|0,a=Math.imul(g,V);var vt=(c+(n=n+Math.imul(f,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|0))<<13)|0;c=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(vt>>>26)|0,vt&=67108863,n=Math.imul(v,U),i=(i=Math.imul(v,V))+Math.imul(y,U)|0,a=Math.imul(y,V),n=n+Math.imul(d,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(g,q)|0,a=a+Math.imul(g,G)|0;var yt=(c+(n=n+Math.imul(f,W)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,W)|0))<<13)|0;c=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(v,q)|0,i=(i=i+Math.imul(v,G)|0)+Math.imul(y,q)|0,a=a+Math.imul(y,G)|0,n=n+Math.imul(d,W)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(g,W)|0,a=a+Math.imul(g,X)|0;var xt=(c+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;c=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(v,W)|0,i=(i=i+Math.imul(v,X)|0)+Math.imul(y,W)|0,a=a+Math.imul(y,X)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(g,J)|0,a=a+Math.imul(g,K)|0;var bt=(c+(n=n+Math.imul(f,$)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,$)|0))<<13)|0;c=((a=a+Math.imul(h,tt)|0)+(i>>>13)|0)+(bt>>>26)|0,bt&=67108863,n=Math.imul(M,U),i=(i=Math.imul(M,V))+Math.imul(S,U)|0,a=Math.imul(S,V),n=n+Math.imul(T,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,W)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,W)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(v,J)|0,i=(i=i+Math.imul(v,K)|0)+Math.imul(y,J)|0,a=a+Math.imul(y,K)|0,n=n+Math.imul(d,$)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(g,$)|0,a=a+Math.imul(g,tt)|0;var _t=(c+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;c=((a=a+Math.imul(h,nt)|0)+(i>>>13)|0)+(_t>>>26)|0,_t&=67108863,n=Math.imul(L,U),i=(i=Math.imul(L,V))+Math.imul(C,U)|0,a=Math.imul(C,V),n=n+Math.imul(M,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,W)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,W)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(v,$)|0,i=(i=i+Math.imul(v,tt)|0)+Math.imul(y,$)|0,a=a+Math.imul(y,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(g,rt)|0,a=a+Math.imul(g,nt)|0;var wt=(c+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;c=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(I,U),i=(i=Math.imul(I,V))+Math.imul(O,U)|0,a=Math.imul(O,V),n=n+Math.imul(L,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,W)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,W)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,$)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,$)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(v,rt)|0,i=(i=i+Math.imul(v,nt)|0)+Math.imul(y,rt)|0,a=a+Math.imul(y,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(g,at)|0,a=a+Math.imul(g,ot)|0;var Tt=(c+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ct)|0)+Math.imul(h,lt)|0))<<13)|0;c=((a=a+Math.imul(h,ct)|0)+(i>>>13)|0)+(Tt>>>26)|0,Tt&=67108863,n=Math.imul(D,U),i=(i=Math.imul(D,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(I,q)|0,i=(i=i+Math.imul(I,G)|0)+Math.imul(O,q)|0,a=a+Math.imul(O,G)|0,n=n+Math.imul(L,W)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,W)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,$)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,$)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(b,rt)|0,i=(i=i+Math.imul(b,nt)|0)+Math.imul(_,rt)|0,a=a+Math.imul(_,nt)|0,n=n+Math.imul(v,at)|0,i=(i=i+Math.imul(v,ot)|0)+Math.imul(y,at)|0,a=a+Math.imul(y,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ct)|0)+Math.imul(g,lt)|0,a=a+Math.imul(g,ct)|0;var kt=(c+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;c=((a=a+Math.imul(h,ht)|0)+(i>>>13)|0)+(kt>>>26)|0,kt&=67108863,n=Math.imul(B,U),i=(i=Math.imul(B,V))+Math.imul(N,U)|0,a=Math.imul(N,V),n=n+Math.imul(D,q)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(I,W)|0,i=(i=i+Math.imul(I,X)|0)+Math.imul(O,W)|0,a=a+Math.imul(O,X)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,$)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,$)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(b,at)|0,i=(i=i+Math.imul(b,ot)|0)+Math.imul(_,at)|0,a=a+Math.imul(_,ot)|0,n=n+Math.imul(v,lt)|0,i=(i=i+Math.imul(v,ct)|0)+Math.imul(y,lt)|0,a=a+Math.imul(y,ct)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(g,ft)|0,a=a+Math.imul(g,ht)|0;var At=(c+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,gt)|0)+Math.imul(h,dt)|0))<<13)|0;c=((a=a+Math.imul(h,gt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(D,W)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,W)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(I,J)|0,i=(i=i+Math.imul(I,K)|0)+Math.imul(O,J)|0,a=a+Math.imul(O,K)|0,n=n+Math.imul(L,$)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,$)|0,a=a+Math.imul(C,tt)|0,n=n+Math.imul(M,rt)|0,i=(i=i+Math.imul(M,nt)|0)+Math.imul(S,rt)|0,a=a+Math.imul(S,nt)|0,n=n+Math.imul(T,at)|0,i=(i=i+Math.imul(T,ot)|0)+Math.imul(k,at)|0,a=a+Math.imul(k,ot)|0,n=n+Math.imul(b,lt)|0,i=(i=i+Math.imul(b,ct)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ct)|0,n=n+Math.imul(v,ft)|0,i=(i=i+Math.imul(v,ht)|0)+Math.imul(y,ft)|0,a=a+Math.imul(y,ht)|0;var Mt=(c+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,gt)|0)+Math.imul(g,dt)|0))<<13)|0;c=((a=a+Math.imul(g,gt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,W),i=(i=Math.imul(B,X))+Math.imul(N,W)|0,a=Math.imul(N,X),n=n+Math.imul(D,J)|0,i=(i=i+Math.imul(D,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|0,n=n+Math.imul(I,$)|0,i=(i=i+Math.imul(I,tt)|0)+Math.imul(O,$)|0,a=a+Math.imul(O,tt)|0,n=n+Math.imul(L,rt)|0,i=(i=i+Math.imul(L,nt)|0)+Math.imul(C,rt)|0,a=a+Math.imul(C,nt)|0,n=n+Math.imul(M,at)|0,i=(i=i+Math.imul(M,ot)|0)+Math.imul(S,at)|0,a=a+Math.imul(S,ot)|0,n=n+Math.imul(T,lt)|0,i=(i=i+Math.imul(T,ct)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ct)|0,n=n+Math.imul(b,ft)|0,i=(i=i+Math.imul(b,ht)|0)+Math.imul(_,ft)|0,a=a+Math.imul(_,ht)|0;var St=(c+(n=n+Math.imul(v,dt)|0)|0)+((8191&(i=(i=i+Math.imul(v,gt)|0)+Math.imul(y,dt)|0))<<13)|0;c=((a=a+Math.imul(y,gt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(D,$)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,$)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(I,rt)|0,i=(i=i+Math.imul(I,nt)|0)+Math.imul(O,rt)|0,a=a+Math.imul(O,nt)|0,n=n+Math.imul(L,at)|0,i=(i=i+Math.imul(L,ot)|0)+Math.imul(C,at)|0,a=a+Math.imul(C,ot)|0,n=n+Math.imul(M,lt)|0,i=(i=i+Math.imul(M,ct)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ct)|0,n=n+Math.imul(T,ft)|0,i=(i=i+Math.imul(T,ht)|0)+Math.imul(k,ft)|0,a=a+Math.imul(k,ht)|0;var Et=(c+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,gt)|0)+Math.imul(_,dt)|0))<<13)|0;c=((a=a+Math.imul(_,gt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,$),i=(i=Math.imul(B,tt))+Math.imul(N,$)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(I,at)|0,i=(i=i+Math.imul(I,ot)|0)+Math.imul(O,at)|0,a=a+Math.imul(O,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ct)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ct)|0,n=n+Math.imul(M,ft)|0,i=(i=i+Math.imul(M,ht)|0)+Math.imul(S,ft)|0,a=a+Math.imul(S,ht)|0;var Lt=(c+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,gt)|0)+Math.imul(k,dt)|0))<<13)|0;c=((a=a+Math.imul(k,gt)|0)+(i>>>13)|0)+(Lt>>>26)|0,Lt&=67108863,n=Math.imul(B,rt),i=(i=Math.imul(B,nt))+Math.imul(N,rt)|0,a=Math.imul(N,nt),n=n+Math.imul(D,at)|0,i=(i=i+Math.imul(D,ot)|0)+Math.imul(R,at)|0,a=a+Math.imul(R,ot)|0,n=n+Math.imul(I,lt)|0,i=(i=i+Math.imul(I,ct)|0)+Math.imul(O,lt)|0,a=a+Math.imul(O,ct)|0,n=n+Math.imul(L,ft)|0,i=(i=i+Math.imul(L,ht)|0)+Math.imul(C,ft)|0,a=a+Math.imul(C,ht)|0;var Ct=(c+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,gt)|0)+Math.imul(S,dt)|0))<<13)|0;c=((a=a+Math.imul(S,gt)|0)+(i>>>13)|0)+(Ct>>>26)|0,Ct&=67108863,n=Math.imul(B,at),i=(i=Math.imul(B,ot))+Math.imul(N,at)|0,a=Math.imul(N,ot),n=n+Math.imul(D,lt)|0,i=(i=i+Math.imul(D,ct)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ct)|0,n=n+Math.imul(I,ft)|0,i=(i=i+Math.imul(I,ht)|0)+Math.imul(O,ft)|0,a=a+Math.imul(O,ht)|0;var Pt=(c+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,gt)|0)+Math.imul(C,dt)|0))<<13)|0;c=((a=a+Math.imul(C,gt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ct))+Math.imul(N,lt)|0,a=Math.imul(N,ct),n=n+Math.imul(D,ft)|0,i=(i=i+Math.imul(D,ht)|0)+Math.imul(R,ft)|0,a=a+Math.imul(R,ht)|0;var It=(c+(n=n+Math.imul(I,dt)|0)|0)+((8191&(i=(i=i+Math.imul(I,gt)|0)+Math.imul(O,dt)|0))<<13)|0;c=((a=a+Math.imul(O,gt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var Ot=(c+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,gt)|0)+Math.imul(R,dt)|0))<<13)|0;c=((a=a+Math.imul(R,gt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863;var zt=(c+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,gt))+Math.imul(N,dt)|0))<<13)|0;return c=((a=Math.imul(N,gt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=mt,l[1]=vt,l[2]=yt,l[3]=xt,l[4]=bt,l[5]=_t,l[6]=wt,l[7]=Tt,l[8]=kt,l[9]=At,l[10]=Mt,l[11]=St,l[12]=Et,l[13]=Lt,l[14]=Ct,l[15]=Pt,l[16]=It,l[17]=Ot,l[18]=zt,0!==c&&(l[19]=c,r.length++),r};function g(t,e,r){return(new m).mulp(t,e,r)}function m(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r=this.length+t.length;return 10===this.length&&10===t.length?d(this,t,e):r<63?p(this,t,e):r<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),c=Math.max(0,a-t.length+1);c<=l;c++){var u=a-c,f=(0|t.words[u])*(0|e.words[c]),h=67108863&f;s=67108863&(h=h+s|0),i+=(o=(o=o+(f/67108864|0)|0)+(h>>>26)|0)>>>26,o&=67108863}r.words[a]=s,n=o,o=i}return 0!==n?r.words[a]=n:r.length--,r.strip()}(this,t,e):g(this,t,e)},m.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},m.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},m.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},m.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),c=Math.sin(2*Math.PI/s),u=0;u<i;u+=s)for(var f=l,h=c,p=0;p<o;p++){var d=r[u+p],g=n[u+p],m=r[u+p+o],v=n[u+p+o],y=f*m-h*v;v=f*v+h*m,m=y,r[u+p]=d+m,n[u+p]=g+v,r[u+p+o]=d-m,n[u+p+o]=g-v,p!==s&&(y=l*f-c*h,h=l*h+c*f,f=y)}},m.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},m.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},m.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},m.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},m.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},m.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),c=new Array(n),u=new Array(n),f=new Array(n),h=r.words;h.length=n,this.convert13b(t.words,t.length,o,n),this.convert13b(e.words,e.length,c,n),this.transform(o,a,s,l,n,i),this.transform(c,a,u,f,n,i);for(var p=0;p<n;p++){var d=s[p]*u[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*u[p],s[p]=d}return this.conjugate(s,l,n),this.transform(s,l,h,a,n,i),this.conjugate(h,a,n),this.normalize13b(h,n),r.negative=t.negative^e.negative,r.length=t.length+e.length,r.strip()},a.prototype.mul=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),this.mulTo(t,e)},a.prototype.mulf=function(t){var e=new a(null);return e.words=new Array(this.length+t.length),g(this,t,e)},a.prototype.imul=function(t){return this.clone().mulTo(t,this)},a.prototype.imuln=function(t){n(\"number\"==typeof t),n(t<67108864);for(var e=0,r=0;r<this.length;r++){var i=(0|this.words[r])*t,a=(67108863&i)+(67108863&e);e>>=26,e+=i/67108864|0,e+=a>>>26,this.words[r]=67108863&a}return 0!==e&&(this.words[r]=e,this.length++),this},a.prototype.muln=function(t){return this.clone().imuln(t)},a.prototype.sqr=function(){return this.mul(this)},a.prototype.isqr=function(){return this.imul(this.clone())},a.prototype.pow=function(t){var e=function(t){for(var e=new Array(t.bitLength()),r=0;r<e.length;r++){var n=r/26|0,i=r%26;e[r]=(t.words[n]&1<<i)>>>i}return e}(t);if(0===e.length)return new a(1);for(var r=this,n=0;n<e.length&&0===e[n];n++,r=r.sqr());if(++n<e.length)for(var i=r.sqr();n<e.length;n++,i=i.sqr())0!==e[n]&&(r=r.mul(i));return r},a.prototype.iushln=function(t){n(\"number\"==typeof t&&t>=0);var e,r=t%26,i=(t-r)/26,a=67108863>>>26-r<<26-r;if(0!==r){var o=0;for(e=0;e<this.length;e++){var s=this.words[e]&a,l=(0|this.words[e])-s<<r;this.words[e]=l|o,o=s>>>26-r}o&&(this.words[e]=o,this.length++)}if(0!==i){for(e=this.length-1;e>=0;e--)this.words[e+i]=this.words[e];for(e=0;e<i;e++)this.words[e]=0;this.length+=i}return this.strip()},a.prototype.ishln=function(t){return n(0===this.negative),this.iushln(t)},a.prototype.iushrn=function(t,e,r){var i;n(\"number\"==typeof t&&t>=0),i=e?(e-e%26)/26:0;var a=t%26,o=Math.min((t-a)/26,this.length),s=67108863^67108863>>>a<<a,l=r;if(i-=o,i=Math.max(0,i),l){for(var c=0;c<o;c++)l.words[c]=this.words[c];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,c=0;c<this.length;c++)this.words[c]=this.words[c+o];else this.words[0]=0,this.length=1;var u=0;for(c=this.length-1;c>=0&&(0!==u||c>=i);c--){var f=0|this.words[c];this.words[c]=u<<26-a|f>>>a,u=f&s}return l&&0!==u&&(l.words[l.length++]=u),0===this.length&&(this.words[0]=0,this.length=1),this.strip()},a.prototype.ishrn=function(t,e,r){return n(0===this.negative),this.iushrn(t,e,r)},a.prototype.shln=function(t){return this.clone().ishln(t)},a.prototype.ushln=function(t){return this.clone().iushln(t)},a.prototype.shrn=function(t){return this.clone().ishrn(t)},a.prototype.ushrn=function(t){return this.clone().iushrn(t)},a.prototype.testn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26,i=1<<e;return!(this.length<=r)&&!!(this.words[r]&i)},a.prototype.imaskn=function(t){n(\"number\"==typeof t&&t>=0);var e=t%26,r=(t-e)/26;if(n(0===this.negative,\"imaskn works only with positive numbers\"),this.length<=r)return this;if(0!==e&&r++,this.length=Math.min(r,this.length),0!==e){var i=67108863^67108863>>>e<<e;this.words[this.length-1]&=i}return this.strip()},a.prototype.maskn=function(t){return this.clone().imaskn(t)},a.prototype.iaddn=function(t){return n(\"number\"==typeof t),n(t<67108864),t<0?this.isubn(-t):0!==this.negative?1===this.length&&(0|this.words[0])<t?(this.words[0]=t-(0|this.words[0]),this.negative=0,this):(this.negative=0,this.isubn(t),this.negative=1,this):this._iaddn(t)},a.prototype._iaddn=function(t){this.words[0]+=t;for(var e=0;e<this.length&&this.words[e]>=67108864;e++)this.words[e]-=67108864,e===this.length-1?this.words[e+1]=1:this.words[e+1]++;return this.length=Math.max(this.length,e+1),this},a.prototype.isubn=function(t){if(n(\"number\"==typeof t),n(t<67108864),t<0)return this.iaddn(-t);if(0!==this.negative)return this.negative=0,this.iaddn(t),this.negative=1,this;if(this.words[0]-=t,1===this.length&&this.words[0]<0)this.words[0]=-this.words[0],this.negative=1;else for(var e=0;e<this.length&&this.words[e]<0;e++)this.words[e]+=67108864,this.words[e+1]-=1;return this.strip()},a.prototype.addn=function(t){return this.clone().iaddn(t)},a.prototype.subn=function(t){return this.clone().isubn(t)},a.prototype.iabs=function(){return this.negative=0,this},a.prototype.abs=function(){return this.clone().iabs()},a.prototype._ishlnsubmul=function(t,e,r){var i,a,o=t.length+r;this._expand(o);var s=0;for(i=0;i<t.length;i++){a=(0|this.words[i+r])+s;var l=(0|t.words[i])*e;s=((a-=67108863&l)>>26)-(l/67108864|0),this.words[i+r]=67108863&a}for(;i<this.length-r;i++)s=(a=(0|this.words[i+r])+s)>>26,this.words[i+r]=67108863&a;if(0===s)return this.strip();for(n(-1===s),s=0,i=0;i<this.length;i++)s=(a=-(0|this.words[i])+s)>>26,this.words[i]=67108863&a;return this.negative=1,this.strip()},a.prototype._wordDiv=function(t,e){var r=(this.length,t.length),n=this.clone(),i=t,o=0|i.words[i.length-1];0!==(r=26-this._countBits(o))&&(i=i.ushln(r),n.iushln(r),o=0|i.words[i.length-1]);var s,l=n.length-i.length;if(\"mod\"!==e){(s=new a(null)).length=l+1,s.words=new Array(s.length);for(var c=0;c<s.length;c++)s.words[c]=0}var u=n.clone()._ishlnsubmul(i,1,l);0===u.negative&&(n=u,s&&(s.words[l]=1));for(var f=l-1;f>=0;f--){var h=67108864*(0|n.words[i.length+f])+(0|n.words[i.length+f-1]);for(h=Math.min(h/o|0,67108863),n._ishlnsubmul(i,h,f);0!==n.negative;)h--,n.negative=0,n._ishlnsubmul(i,1,f),n.isZero()||(n.negative^=1);s&&(s.words[f]=h)}return s&&s.strip(),n.strip(),\"div\"!==e&&0!==r&&n.iushrn(r),{div:s||null,mod:n}},a.prototype.divmod=function(t,e,r){return n(!t.isZero()),this.isZero()?{div:new a(0),mod:new a(0)}:0!==this.negative&&0===t.negative?(s=this.neg().divmod(t,e),\"mod\"!==e&&(i=s.div.neg()),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.iadd(t)),{div:i,mod:o}):0===this.negative&&0!==t.negative?(s=this.divmod(t.neg(),e),\"mod\"!==e&&(i=s.div.neg()),{div:i,mod:s.mod}):0!=(this.negative&t.negative)?(s=this.neg().divmod(t.neg(),e),\"div\"!==e&&(o=s.mod.neg(),r&&0!==o.negative&&o.isub(t)),{div:s.div,mod:o}):t.length>this.length||this.cmp(t)<0?{div:new a(0),mod:this}:1===t.length?\"div\"===e?{div:this.divn(t.words[0]),mod:null}:\"mod\"===e?{div:null,mod:new a(this.modn(t.words[0]))}:{div:this.divn(t.words[0]),mod:new a(this.modn(t.words[0]))}:this._wordDiv(t,e);var i,o,s},a.prototype.div=function(t){return this.divmod(t,\"div\",!1).div},a.prototype.mod=function(t){return this.divmod(t,\"mod\",!1).mod},a.prototype.umod=function(t){return this.divmod(t,\"mod\",!0).mod},a.prototype.divRound=function(t){var e=this.divmod(t);if(e.mod.isZero())return e.div;var r=0!==e.div.negative?e.mod.isub(t):e.mod,n=t.ushrn(1),i=t.andln(1),a=r.cmp(n);return a<0||1===i&&0===a?e.div:0!==e.div.negative?e.div.isubn(1):e.div.iaddn(1)},a.prototype.modn=function(t){n(t<=67108863);for(var e=(1<<26)%t,r=0,i=this.length-1;i>=0;i--)r=(e*r+(0|this.words[i]))%t;return r},a.prototype.idivn=function(t){n(t<=67108863);for(var e=0,r=this.length-1;r>=0;r--){var i=(0|this.words[r])+67108864*e;this.words[r]=i/t|0,e=i%t}return this.strip()},a.prototype.divn=function(t){return this.clone().idivn(t)},a.prototype.egcd=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i=new a(1),o=new a(0),s=new a(0),l=new a(1),c=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++c;for(var u=r.clone(),f=e.clone();!e.isZero();){for(var h=0,p=1;0==(e.words[0]&p)&&h<26;++h,p<<=1);if(h>0)for(e.iushrn(h);h-- >0;)(i.isOdd()||o.isOdd())&&(i.iadd(u),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,g=1;0==(r.words[0]&g)&&d<26;++d,g<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(u),l.isub(f)),s.iushrn(1),l.iushrn(1);e.cmp(r)>=0?(e.isub(r),i.isub(s),o.isub(l)):(r.isub(e),s.isub(i),l.isub(o))}return{a:s,b:l,gcd:r.iushln(c)}},a.prototype._invmp=function(t){n(0===t.negative),n(!t.isZero());var e=this,r=t.clone();e=0!==e.negative?e.umod(t):e.clone();for(var i,o=new a(1),s=new a(0),l=r.clone();e.cmpn(1)>0&&r.cmpn(1)>0;){for(var c=0,u=1;0==(e.words[0]&u)&&c<26;++c,u<<=1);if(c>0)for(e.iushrn(c);c-- >0;)o.isOdd()&&o.iadd(l),o.iushrn(1);for(var f=0,h=1;0==(r.words[0]&h)&&f<26;++f,h<<=1);if(f>0)for(r.iushrn(f);f-- >0;)s.isOdd()&&s.iadd(l),s.iushrn(1);e.cmp(r)>=0?(e.isub(r),o.isub(s)):(r.isub(e),s.isub(o))}return(i=0===e.cmpn(1)?o:s).cmpn(0)<0&&i.iadd(t),i},a.prototype.gcd=function(t){if(this.isZero())return t.abs();if(t.isZero())return this.abs();var e=this.clone(),r=t.clone();e.negative=0,r.negative=0;for(var n=0;e.isEven()&&r.isEven();n++)e.iushrn(1),r.iushrn(1);for(;;){for(;e.isEven();)e.iushrn(1);for(;r.isEven();)r.iushrn(1);var i=e.cmp(r);if(i<0){var a=e;e=r,r=a}else if(0===i||0===r.cmpn(1))break;e.isub(r)}return r.iushln(n)},a.prototype.invm=function(t){return this.egcd(t).a.umod(t)},a.prototype.isEven=function(){return 0==(1&this.words[0])},a.prototype.isOdd=function(){return 1==(1&this.words[0])},a.prototype.andln=function(t){return this.words[0]&t},a.prototype.bincn=function(t){n(\"number\"==typeof t);var e=t%26,r=(t-e)/26,i=1<<e;if(this.length<=r)return this._expand(r+1),this.words[r]|=i,this;for(var a=i,o=r;0!==a&&o<this.length;o++){var s=0|this.words[o];a=(s+=a)>>>26,s&=67108863,this.words[o]=s}return 0!==a&&(this.words[o]=a,this.length++),this},a.prototype.isZero=function(){return 1===this.length&&0===this.words[0]},a.prototype.cmpn=function(t){var e,r=t<0;if(0!==this.negative&&!r)return-1;if(0===this.negative&&r)return 1;if(this.strip(),this.length>1)e=1;else{r&&(t=-t),n(t<=67108863,\"Number is too big\");var i=0|this.words[0];e=i===t?0:i<t?-1:1}return 0!==this.negative?0|-e:e},a.prototype.cmp=function(t){if(0!==this.negative&&0===t.negative)return-1;if(0===this.negative&&0!==t.negative)return 1;var e=this.ucmp(t);return 0!==this.negative?0|-e:e},a.prototype.ucmp=function(t){if(this.length>t.length)return 1;if(this.length<t.length)return-1;for(var e=0,r=this.length-1;r>=0;r--){var n=0|this.words[r],i=0|t.words[r];if(n!==i){n<i?e=-1:n>i&&(e=1);break}}return e},a.prototype.gtn=function(t){return 1===this.cmpn(t)},a.prototype.gt=function(t){return 1===this.cmp(t)},a.prototype.gten=function(t){return this.cmpn(t)>=0},a.prototype.gte=function(t){return this.cmp(t)>=0},a.prototype.ltn=function(t){return-1===this.cmpn(t)},a.prototype.lt=function(t){return-1===this.cmp(t)},a.prototype.lten=function(t){return this.cmpn(t)<=0},a.prototype.lte=function(t){return this.cmp(t)<=0},a.prototype.eqn=function(t){return 0===this.cmpn(t)},a.prototype.eq=function(t){return 0===this.cmp(t)},a.red=function(t){return new T(t)},a.prototype.toRed=function(t){return n(!this.red,\"Already a number in reduction context\"),n(0===this.negative,\"red works only with positives\"),t.convertTo(this)._forceRed(t)},a.prototype.fromRed=function(){return n(this.red,\"fromRed works only with numbers in reduction context\"),this.red.convertFrom(this)},a.prototype._forceRed=function(t){return this.red=t,this},a.prototype.forceRed=function(t){return n(!this.red,\"Already a number 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fffffffe fffffc2f\")}function b(){y.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){y.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){y.call(this,\"25519\",\"7fffffffffffffff ffffffffffffffff ffffffffffffffff ffffffffffffffed\")}function T(t){if(\"string\"==typeof t){var e=a._prime(t);this.m=e.p,this.prime=e}else n(t.gtn(1),\"modulus must be greater than 1\"),this.m=t,this.prime=null}function k(t){T.call(this,t),this.shift=this.m.bitLength(),this.shift%26!=0&&(this.shift+=26-this.shift%26),this.r=new a(1).iushln(this.shift),this.r2=this.imod(this.r.sqr()),this.rinv=this.r._invmp(this.m),this.minv=this.rinv.mul(this.r).isubn(1).div(this.m),this.minv=this.minv.umod(this.r),this.minv=this.r.sub(this.minv)}y.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},y.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},y.prototype.split=function(t,e){t.iushrn(this.n,0,e)},y.prototype.imulK=function(t){return t.imul(this.k)},i(x,y),x.prototype.split=function(t,e){for(var r=Math.min(t.length,9),n=0;n<r;n++)e.words[n]=t.words[n];if(e.length=r,t.length<=9)return t.words[0]=0,void(t.length=1);var i=t.words[9];for(e.words[e.length++]=4194303&i,n=10;n<t.length;n++){var a=0|t.words[n];t.words[n-10]=(4194303&a)<<4|i>>>22,i=a}i>>>=22,t.words[n-10]=i,0===i&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,y),i(_,y),i(w,y),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(v[t])return v[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return v[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),c=this.m.subn(1).iushrn(1),u=this.m.bitLength();for(u=new a(2*u*u).toRed(this);0!==this.pow(u,c).cmp(l);)u.redIAdd(l);for(var f=this.pow(u,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var g=p,m=0;0!==g.cmp(s);m++)g=g.redSqr();n(m<d);var v=this.pow(f,new a(1).iushln(d-m-1));h=h.redMul(v),f=v.redSqr(),p=p.redMul(f),d=m}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var c=e.words[n],u=l-1;u>=0;u--){var f=c>>u&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4===++s||0===n&&0===u)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var r=t.mul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),o=i;return i.cmp(this.m)>=0?o=i.isub(this.m):i.cmpn(0)<0&&(o=i.iadd(this.m)),o._forceRed(this)},k.prototype.invm=function(t){return this.imod(t._invmp(this.m).mul(this.r2))._forceRed(this)}}(void 0===e||e,this)},{buffer:2}],34:[function(t,e,r){\"use strict\";e.exports=function(t){var e,r,n,i=t.length,a=0;for(e=0;e<i;++e)a+=t[e].length;var o=new Array(a),s=0;for(e=0;e<i;++e){var l=t[e],c=l.length;for(r=0;r<c;++r){var u=o[s++]=new Array(c-1),f=0;for(n=0;n<c;++n)n!==r&&(u[f++]=l[n]);if(1&r){var h=u[1];u[1]=u[0],u[0]=h}}}return o}},{}],35:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){switch(arguments.length){case 1:return f(t);case 2:return\"function\"==typeof e?c(t,t,e,!0):h(t,e);case 3:return c(t,e,r,!1);default:throw new Error(\"box-intersect: Invalid arguments\")}};var n,i=t(\"typedarray-pool\"),a=t(\"./lib/sweep\"),o=t(\"./lib/intersect\");function s(t,e){for(var r=0;r<t;++r)if(!(e[r]<=e[r+t]))return!0;return!1}function l(t,e,r,n){for(var i=0,a=0,o=0,l=t.length;o<l;++o){var c=t[o];if(!s(e,c)){for(var u=0;u<2*e;++u)r[i++]=c[u];n[a++]=o}}return a}function c(t,e,r,n){var s=t.length,c=e.length;if(!(s<=0||c<=0)){var u=t[0].length>>>1;if(!(u<=0)){var f,h=i.mallocDouble(2*u*s),p=i.mallocInt32(s);if((s=l(t,u,h,p))>0){if(1===u&&n)a.init(s),f=a.sweepComplete(u,r,0,s,h,p,0,s,h,p);else{var d=i.mallocDouble(2*u*c),g=i.mallocInt32(c);(c=l(e,u,d,g))>0&&(a.init(s+c),f=1===u?a.sweepBipartite(u,r,0,s,h,p,0,c,d,g):o(u,r,n,s,h,p,c,d,g),i.free(d),i.free(g))}i.free(h),i.free(p)}return f}}}function u(t,e){n.push([t,e])}function f(t){return n=[],c(t,t,u,!0),n}function h(t,e){return n=[],c(t,e,u,!1),n}},{\"./lib/intersect\":37,\"./lib/sweep\":41,\"typedarray-pool\":308}],36:[function(t,e,r){\"use strict\";function n(t){return t?function(t,e,r,n,i,a,o,s,l,c,u){return i-n>l-s?function(t,e,r,n,i,a,o,s,l,c,u){for(var f=2*t,h=n,p=f*n;h<i;++h,p+=f){var 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e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new h(this,n)},l.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new h(this,n)},l.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new h(this,n);r=i<=0?r.left:r.right}return new h(this,[])},l.remove=function(t){var e=this.find(t);return e?e.remove():this},l.get=function(t){for(var e=this._compare,r=this.root;r;){var n=e(t,r.key);if(0===n)return r.value;r=n<=0?r.left:r.right}};var p=h.prototype;function d(t,e){t.key=e.key,t.value=e.value,t.left=e.left,t.right=e.right,t._color=e._color,t._count=e._count}function g(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(p,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(p,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),p.clone=function(){return new h(this.tree,this._stack.slice())},p.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var e=new Array(t.length),r=t[t.length-1];e[e.length-1]=new n(r._color,r.key,r.value,r.left,r.right,r._count);for(var l=t.length-2;l>=0;--l){(r=t[l]).left===t[l+1]?e[l]=new n(r._color,r.key,r.value,e[l+1],r.right,r._count):e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count)}if((r=e[e.length-1]).left&&r.right){var c=e.length;for(r=r.left;r.right;)e.push(r),r=r.right;var u=e[c-1];e.push(new n(r._color,u.key,u.value,r.left,r.right,r._count)),e[c-1].key=r.key,e[c-1].value=r.value;for(l=e.length-2;l>=c;--l)r=e[l],e[l]=new n(r._color,r.key,r.value,r.left,e[l+1],r._count);e[c-1].left=e[c]}if(0===(r=e[e.length-1])._color){var f=e[e.length-2];f.left===r?f.left=null:f.right===r&&(f.right=null),e.pop();for(l=0;l<e.length;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(r.left||r.right){r.left?d(r,r.left):r.right&&d(r,r.right),r._color=1;for(l=0;l<e.length-1;++l)e[l]._count--;return new s(this.tree._compare,e[0])}if(1===e.length)return new s(this.tree._compare,null);for(l=0;l<e.length;++l)e[l]._count--;var h=e[e.length-2];return function(t){for(var e,r,n,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((r=t[l-1]).left===e){if((n=r.right).right&&0===n.right._color){if(s=(n=r.right=i(n)).right=i(n.right),r.right=n.left,n.left=r,n.right=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).left===r?c.left=n:c.right=n;return void(t[l-1]=n)}if(n.left&&0===n.left._color){if(s=(n=r.right=i(n)).left=i(n.left),r.right=s.left,n.left=s.right,s.left=r,s.right=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).left===r?c.left=s:c.right=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.right=a(0,n));r.right=a(0,n);continue}n=i(n),r.right=n.left,n.left=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).left===r?c.left=n:c.right=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((n=r.left).left&&0===n.left._color){if(s=(n=r.left=i(n)).left=i(n.left),r.left=n.right,n.right=r,n.left=s,n._color=r._color,e._color=1,r._color=1,s._color=1,o(r),o(n),l>1)(c=t[l-2]).right===r?c.right=n:c.left=n;return void(t[l-1]=n)}if(n.right&&0===n.right._color){if(s=(n=r.left=i(n)).right=i(n.right),r.left=s.right,n.right=s.left,s.right=r,s.left=n,s._color=r._color,r._color=1,n._color=1,e._color=1,o(r),o(n),o(s),l>1)(c=t[l-2]).right===r?c.right=s:c.left=s;return void(t[l-1]=s)}if(1===n._color){if(0===r._color)return r._color=1,void(r.left=a(0,n));r.left=a(0,n);continue}var c;n=i(n),r.left=n.right,n.right=r,n._color=r._color,r._color=0,o(r),o(n),l>1&&((c=t[l-2]).right===r?c.right=n:c.left=n),t[l-1]=n,t[l]=r,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(e),h.left===r?h.left=null:h.right=null,new s(this.tree._compare,e[0])},Object.defineProperty(p,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(p,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(p,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return r?r._count:0}e[e.length-1].left&&(t=e[e.length-1].left._count);for(var n=e.length-2;n>=0;--n)e[n+1]===e[n].right&&(++t,e[n].left&&(t+=e[n].left._count));return t},enumerable:!0}),p.next=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.right)for(e=e.right;e;)t.push(e),e=e.left;else for(t.pop();t.length>0&&t[t.length-1].right===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasNext\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].right)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].left===t[e])return!0;return!1}}),p.update=function(t){var e=this._stack;if(0===e.length)throw new Error(\"Can't update empty node!\");var r=new Array(e.length),i=e[e.length-1];r[r.length-1]=new n(i._color,i.key,t,i.left,i.right,i._count);for(var a=e.length-2;a>=0;--a)(i=e[a]).left===e[a+1]?r[a]=new n(i._color,i.key,i.value,r[a+1],i.right,i._count):r[a]=new n(i._color,i.key,i.value,i.left,r[a+1],i._count);return new s(this.tree._compare,r[0])},p.prev=function(){var t=this._stack;if(0!==t.length){var e=t[t.length-1];if(e.left)for(e=e.left;e;)t.push(e),e=e.right;else for(t.pop();t.length>0&&t[t.length-1].left===e;)e=t[t.length-1],t.pop()}},Object.defineProperty(p,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},{}],70:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=new u(t);return r.update(e),r};var n=t(\"./lib/text.js\"),i=t(\"./lib/lines.js\"),a=t(\"./lib/background.js\"),o=t(\"./lib/cube.js\"),s=t(\"./lib/ticks.js\"),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function c(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function u(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=u.prototype;function h(){this.primalOffset=[0,0,0],this.primalMinor=[0,0,0],this.mirrorOffset=[0,0,0],this.mirrorMinor=[0,0,0]}f.update=function(t){function e(e,r,n){if(n in t){var i,a=t[n],o=this[n];(e?Array.isArray(a)&&Array.isArray(a[0]):Array.isArray(a))?this[n]=i=[r(a[0]),r(a[1]),r(a[2])]:this[n]=i=[r(a),r(a),r(a)];for(var s=0;s<3;++s)if(i[s]!==o[s])return!0}return!1}t=t||{};var r,a=e.bind(this,!1,Number),o=e.bind(this,!1,Boolean),l=e.bind(this,!1,String),c=e.bind(this,!0,(function(t){if(Array.isArray(t)){if(3===t.length)return[+t[0],+t[1],+t[2],1];if(4===t.length)return[+t[0],+t[1],+t[2],+t[3]]}return[0,0,0,1]})),u=!1,f=!1;if(\"bounds\"in t)for(var h=t.bounds,p=0;p<2;++p)for(var d=0;d<3;++d)h[p][d]!==this.bounds[p][d]&&(f=!0),this.bounds[p][d]=h[p][d];if(\"ticks\"in t){r=t.ticks,u=!0,this.autoTicks=!1;for(p=0;p<3;++p)this.tickSpacing[p]=0}else a(\"tickSpacing\")&&(this.autoTicks=!0,f=!0);if(this._firstInit&&(\"ticks\"in t||\"tickSpacing\"in t||(this.autoTicks=!0),f=!0,u=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),u=!0),u){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?u=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(u=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),c(\"tickColor\");var g=l(\"labels\");l(\"labelFont\")&&(g=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),c(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),c(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),c(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),c(\"gridColor\"),o(\"zeroEnable\"),c(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),c(\"backgroundColor\"),this._text?this._text&&(g||u)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&u&&(this._lines.dispose(),this._lines=null),this._lines||(this._lines=i(this.gl,this.bounds,this.ticks))};var p=[new h,new h,new h];function d(t,e,r,n,i){for(var a=t.primalOffset,o=t.primalMinor,s=t.mirrorOffset,l=t.mirrorMinor,c=n[e],u=0;u<3;++u)if(e!==u){var f=a,h=s,p=o,d=l;c&1<<u&&(f=s,h=a,p=l,d=o),f[u]=r[0][u],h[u]=r[1][u],i[u]>0?(p[u]=-1,d[u]=0):(p[u]=0,d[u]=1)}}var g=[0,0,0],m={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var v=[0,0,0],y=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||m;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,u=o(r,n,i,a,s),f=u.cubeEdges,h=u.axis,b=n[12],_=n[13],w=n[14],T=n[15],k=(s?2:1)*this.pixelRatio*(i[3]*b+i[7]*_+i[11]*w+i[15]*T)/e.drawingBufferHeight,A=0;A<3;++A)this.lastCubeProps.cubeEdges[A]=f[A],this.lastCubeProps.axis[A]=h[A];var M=p;for(A=0;A<3;++A)d(p[A],A,this.bounds,f,h);e=this.gl;var S,E=g;for(A=0;A<3;++A)this.backgroundEnable[A]?E[A]=h[A]:E[A]=0;this._background.draw(r,n,i,a,E,this.backgroundColor),this._lines.bind(r,n,i,this);for(A=0;A<3;++A){var L=[0,0,0];h[A]>0?L[A]=a[1][A]:L[A]=a[0][A];for(var C=0;C<2;++C){var P=(A+1+C)%3,I=(A+1+(1^C))%3;this.gridEnable[P]&&this._lines.drawGrid(P,I,this.bounds,L,this.gridColor[P],this.gridWidth[P]*this.pixelRatio)}for(C=0;C<2;++C){P=(A+1+C)%3,I=(A+1+(1^C))%3;this.zeroEnable[I]&&Math.min(a[0][I],a[1][I])<=0&&Math.max(a[0][I],a[1][I])>=0&&this._lines.drawZero(P,I,this.bounds,L,this.zeroLineColor[I],this.zeroLineWidth[I]*this.pixelRatio)}}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var O=c(v,M[A].primalMinor),z=c(y,M[A].mirrorMinor),D=this.lineTickLength;for(C=0;C<3;++C){var R=k/r[5*C];O[C]*=D[C]*R,z[C]*=D[C]*R}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,O,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,z,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio);var F,B;function N(t){(B=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,H=c(x,M[A].primalOffset);for(C=0;C<3;++C)this.lineTickEnable[A]&&(H[C]+=k*U[C]*Math.max(this.lineTickLength[C],0)/r[5*C]);var q=[0,0,0];if(q[A]=1,this.tickEnable[A]){-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,F=1,\"auto\"===(S=[this.tickAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),B=[0,0,0],j(A,U,V);for(C=0;C<3;++C)H[C]+=k*U[C]*this.tickPad[C]/r[5*C];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,B,S)}if(this.labelEnable[A]){F=0,B=[0,0,0],this.labels[A].length>4&&(N(A),F=1),\"auto\"===(S=[this.labelAlign[A],.5,F])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]);for(C=0;C<3;++C)H[C]+=k*U[C]*this.labelPad[C]/r[5*C];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],B,S)}}this._text.unbind()},f.dispose=function(){this._text.dispose(),this._lines.dispose(),this._background.dispose(),this._lines=null,this._text=null,this._background=null,this.gl=null}},{\"./lib/background.js\":71,\"./lib/cube.js\":72,\"./lib/lines.js\":73,\"./lib/text.js\":75,\"./lib/ticks.js\":76}],71:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var c=(l+1)%3,u=(l+2)%3,f=[0,0,0],h=[0,0,0],p=-1;p<=1;p+=2){r.push(s,s+2,s+1,s+1,s+2,s+3),f[l]=p,h[l]=p;for(var d=-1;d<=1;d+=2){f[c]=d;for(var g=-1;g<=1;g+=2)f[u]=g,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var m=c;c=u,u=m}var v=n(t,new Float32Array(e)),y=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:v,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:v,type:t.FLOAT,size:3,offset:12,stride:24}],y),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,v,x,b)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],72:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var y=0,x=0;x<2;++x){u[2]=a[x][2];for(var b=0;b<2;++b){u[1]=a[b][1];for(var _=0;_<2;++_)u[0]=a[_][0],h(l[y],u,s),y+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)c[x][k]=l[x][k]/T;p&&(c[x][2]*=-1),T<0&&(w<0||c[x][2]<c[w][2])&&(w=x)}if(w<0){w=0;for(var A=0;A<3;++A){for(var M=(A+2)%3,S=(A+1)%3,E=-1,L=-1,C=0;C<2;++C){var P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);o(c[O],c[P],c[I],f)<0||(C?E=1:L=1)}if(E<0||L<0)L>E&&(w|=1<<A);else{for(C=0;C<2;++C){P=(O=C<<A)+(C<<M)+(1-C<<S),I=O+(1-C<<M)+(C<<S);var O,z=d([l[O],l[P],l[I],l[O+(1<<M)+(1<<S)]]);C?E=z:L=z}L>E&&(w|=1<<A)}}}var D=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==D&&(R<0||c[R][1]>c[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x){if((N=R^1<<x)!==w&&N!==D)F<0&&(F=N),(S=c[N])[0]<c[F][0]&&(F=N)}var B=-1;for(x=0;x<3;++x){var N;if((N=R^1<<x)!==w&&N!==D&&N!==F)B<0&&(B=N),(S=c[N])[0]>c[B][0]&&(B=N)}var j=g;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=m,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return v};var n=t(\"bit-twiddle\"),i=t(\"gl-mat4/multiply\"),a=t(\"split-polygon\"),o=t(\"robust-orientation\"),s=new Array(16),l=new Array(8),c=new Array(8),u=new Array(3),f=[0,0,0];function h(t,e,r){for(var n=0;n<4;++n){t[n]=r[12+n];for(var i=0;i<3;++i)t[n]+=e[i]*r[4*i+n]}}!function(){for(var t=0;t<8;++t)l[t]=[1,1,1,1],c[t]=[1,1,1]}();var p=[[0,0,1,0,0],[0,0,-1,1,0],[0,-1,0,1,0],[0,1,0,1,0],[-1,0,0,1,0],[1,0,0,1,0]];function d(t){for(var e=0;e<p.length;++e)if((t=a.positive(t,p[e])).length<3)return 0;var r=t[0],n=r[0]/r[3],i=r[1]/r[3],o=0;for(e=1;e+1<t.length;++e){var s=t[e],l=t[e+1],c=s[0]/s[3]-n,u=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(c*h-u*f)}return o}var g=[1,1,1],m=[0,0,0],v={cubeEdges:g,axis:m}},{\"bit-twiddle\":32,\"gl-mat4/multiply\":100,\"robust-orientation\":284,\"split-polygon\":300}],73:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[0,0,0];o.push(0,0,1,0,1,1,0,0,-1,0,0,-1,0,1,1,0,1,-1);for(var f=0;f<3;++f){for(var h=o.length/3|0,d=0;d<r[f].length;++d){var g=+r[f][d].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}var m=o.length/3|0;s[f]=h,l[f]=m-h;h=o.length/3|0;for(var v=0;v<r[f].length;++v){g=+r[f][v].x;o.push(g,0,1,g,1,1,g,0,-1,g,0,-1,g,1,1,g,1,-1)}m=o.length/3|0;c[f]=h,u[f]=m-h}var y=n(t,new Float32Array(o)),x=i(t,[{buffer:y,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,y,x,b,l,s,u,c)};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"./shaders\").line,o=[0,0,0],s=[0,0,0],l=[0,0,0],c=[0,0,0],u=[1,1];function f(t){return t[0]=t[1]=t[2]=0,t}function h(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function p(t,e,r,n,i,a,o,s){this.gl=t,this.vertBuffer=e,this.vao=r,this.shader=n,this.tickCount=i,this.tickOffset=a,this.gridCount=o,this.gridOffset=s}var d=p.prototype;d.bind=function(t,e,r){this.shader.bind(),this.shader.uniforms.model=t,this.shader.uniforms.view=e,this.shader.uniforms.projection=r,u[0]=this.gl.drawingBufferWidth,u[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=u,this.vao.bind()},d.unbind=function(){this.vao.unbind()},d.drawAxisLine=function(t,e,r,n,i){var a=f(s);this.shader.uniforms.majorAxis=s,a[t]=e[1][t]-e[0][t],this.shader.uniforms.minorAxis=a;var o,u=h(c,r);u[t]+=e[0][t],this.shader.uniforms.offset=u,this.shader.uniforms.lineWidth=i,this.shader.uniforms.color=n,(o=f(l))[(t+2)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6),(o=f(l))[(t+1)%3]=1,this.shader.uniforms.screenAxis=o,this.vao.draw(this.gl.TRIANGLES,6)},d.drawAxisTicks=function(t,e,r,n,i){if(this.tickCount[t]){var a=f(o);a[t]=1,this.shader.uniforms.majorAxis=a,this.shader.uniforms.offset=e,this.shader.uniforms.minorAxis=r,this.shader.uniforms.color=n,this.shader.uniforms.lineWidth=i;var s=f(l);s[t]=1,this.shader.uniforms.screenAxis=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t])}},d.drawGrid=function(t,e,r,n,i,a){if(this.gridCount[t]){var u=f(s);u[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=u;var p=h(c,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var g=f(l);g[t]=1,this.shader.uniforms.screenAxis=g,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,this.gridCount[t],this.gridOffset[t])}},d.drawZero=function(t,e,r,n,i,a){var o=f(s);this.shader.uniforms.majorAxis=o,o[t]=r[1][t]-r[0][t],this.shader.uniforms.minorAxis=o;var u=h(c,n);u[t]+=r[0][t],this.shader.uniforms.offset=u;var p=f(l);p[e]=1,this.shader.uniforms.screenAxis=p,this.shader.uniforms.lineWidth=a,this.shader.uniforms.color=i,this.vao.draw(this.gl.TRIANGLES,6)},d.dispose=function(){this.vao.dispose(),this.vertBuffer.dispose(),this.shader.dispose()}},{\"./shaders\":74,\"gl-buffer\":78,\"gl-vao\":150}],74:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.line=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);r.text=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec3 normal;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 enable;\\nuniform vec3 bounds[2];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n\\n  vec3 signAxis = sign(bounds[1] - bounds[0]);\\n\\n  vec3 realNormal = signAxis * normal;\\n\\n  if(dot(realNormal, enable) > 0.0) {\\n    vec3 minRange = min(bounds[0], bounds[1]);\\n    vec3 maxRange = max(bounds[0], bounds[1]);\\n    vec3 nPosition = mix(minRange, maxRange, 0.5 * (position + 1.0));\\n    gl_Position = projection * view * model * vec4(nPosition, 1.0);\\n  } else {\\n    gl_Position = vec4(0,0,0,0);\\n  }\\n\\n  colorChannel = abs(realNormal);\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);r.bg=function(t){return i(t,c,u,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},{\"gl-shader\":132,glslify:231}],75:[function(t,e,r){(function(r){(function(){\"use strict\";e.exports=function(t,e,r,a,s,l){var u=n(t),f=i(t,[{buffer:u,size:3}]),h=o(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,a,s,l),p};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"vectorize-text\"),o=t(\"./shaders\").text,s=window||r.global||{},l=s.__TEXT_CACHE||{};s.__TEXT_CACHE={};function c(t,e,r,n){this.gl=t,this.shader=e,this.buffer=r,this.vao=n,this.tickOffset=this.tickCount=this.labelOffset=this.labelCount=null}var u=c.prototype,f=[0,0];u.bind=function(t,e,r,n){this.vao.bind(),this.shader.bind();var i=this.shader.uniforms;i.model=t,i.view=e,i.projection=r,i.pixelScale=n,f[0]=this.gl.drawingBufferWidth,f[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=f},u.unbind=function(){this.vao.unbind()},u.update=function(t,e,r,n,i){var o=[];function s(t,e,r,n,i,s){var c=l[r];c||(c=l[r]={});var u=c[e];u||(u=c[e]=function(t,e){try{return a(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=u.positions,p=u.cells,d=0,g=p.length;d<g;++d)for(var m=p[d],v=2;v>=0;--v){var y=h[m[v]];o.push(f*y[0],-f*y[1],t)}}for(var c=[0,0,0],u=[0,0,0],f=[0,0,0],h=[0,0,0],p={breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},d=0;d<3;++d){f[d]=o.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(o.length/3|0)-f[d],c[d]=o.length/3|0;for(var g=0;g<n[d].length;++g)n[d][g].text&&s(n[d][g].x,n[d][g].text,n[d][g].font||i,n[d][g].fontSize||12,1.25,p);u[d]=(o.length/3|0)-c[d]}this.buffer.update(o),this.tickOffset=c,this.tickCount=u,this.labelOffset=f,this.labelCount=h},u.drawTicks=function(t,e,r,n,i,a,o,s){this.tickCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.tickCount[t],this.tickOffset[t]))},u.drawLabel=function(t,e,r,n,i,a,o,s){this.labelCount[t]&&(this.shader.uniforms.axis=a,this.shader.uniforms.color=i,this.shader.uniforms.angle=r,this.shader.uniforms.scale=e,this.shader.uniforms.offset=n,this.shader.uniforms.alignDir=o,this.shader.uniforms.alignOpt=s,this.vao.draw(this.gl.TRIANGLES,this.labelCount[t],this.labelOffset[t]))},u.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}}).call(this)}).call(this,t(\"_process\"))},{\"./shaders\":74,_process:5,\"gl-buffer\":78,\"gl-vao\":150,\"vectorize-text\":311}],76:[function(t,e,r){\"use strict\";function n(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,c=o%a;o<0?(l=0|-Math.ceil(l),c=0|-c):(l=0|Math.floor(l),c|=0);var u=\"\"+l;if(o<0&&(u=\"-\"+u),i){for(var f=\"\"+c;f.length<i;)f=\"0\"+f;return u+\".\"+f}return u}r.create=function(t,e){for(var r=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:n(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:n(e[i],o)});r.push(a)}return r},r.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},{}],77:[function(t,e,r){\"use strict\";e.exports=function(t,e,r,l,f){var h=e.model||c,p=e.view||c,v=e.projection||c,y=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,v,x,y)).axis;o(u,p,h),o(u,v,u);for(var _=g,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(u,u));s(u,u);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=m;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=y?5:4;for(L=P;L===P;++L){if(0===E.length)continue t;E=i.positive(E,T[L])}for(L=0;L<E.length;++L){M=E[L];var I=d(m,u,M,r,l);for(C=0;C<3;++C)_[C].lo=Math.min(_[C].lo,M[C]),_[C].hi=Math.max(_[C].hi,M[C]),C!==k&&(_[C].pixelsPerDataUnit=Math.min(_[C].pixelsPerDataUnit,Math.abs(I[C])))}}}}return _};var n=t(\"extract-frustum-planes\"),i=t(\"split-polygon\"),a=t(\"./lib/cube.js\"),o=t(\"gl-mat4/multiply\"),s=t(\"gl-mat4/transpose\"),l=t(\"gl-vec4/transformMat4\"),c=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),u=new Float32Array(16);function f(t,e,r){this.lo=t,this.hi=e,this.pixelsPerDataUnit=r}var h=[0,0,0,1],p=[0,0,0,1];function d(t,e,r,n,i){for(var a=0;a<3;++a){for(var o=h,s=p,c=0;c<3;++c)s[c]=o[c]=r[c];s[3]=o[3]=1,s[a]+=1,l(s,s,e),s[3]<0&&(t[a]=1/0),o[a]-=1,l(o,o,e),o[3]<0&&(t[a]=1/0);var u=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(u*u+f*f)}return t}var g=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],m=[0,0,0]},{\"./lib/cube.js\":72,\"extract-frustum-planes\":67,\"gl-mat4/multiply\":100,\"gl-mat4/transpose\":109,\"gl-vec4/transformMat4\":221,\"split-polygon\":300}],78:[function(t,e,r){\"use strict\";var n=t(\"typedarray-pool\"),i=t(\"ndarray-ops\"),a=t(\"ndarray\"),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function c(t,e,r,n,i,a){var o=i.length*i.BYTES_PER_ELEMENT;if(a<0)return t.bufferData(e,i,n),o;if(o+a>r)throw new Error(\"gl-buffer: If resizing buffer, must not specify offset\");return t.bufferSubData(e,a,i),r}function u(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER)r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\";if(r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=c(this.gl,this.type,this.length,this.usage,t.data,e):this.length=c(this.gl,this.type,this.length,this.usage,t.data.subarray(t.offset,t.shape[0]),e);else{var s=n.malloc(t.size,r),l=a(s,t.shape);i.assign(l,t),this.length=c(this.gl,this.type,this.length,this.usage,e<0?s:s.subarray(0,t.size),e),n.free(s)}}else if(Array.isArray(t)){var f;f=this.type===this.gl.ELEMENT_ARRAY_BUFFER?u(t,\"uint16\"):u(t,\"float32\"),this.length=c(this.gl,this.type,this.length,this.usage,e<0?f:f.subarray(0,t.length),e),n.free(f)}else if(\"object\"==typeof t&&\"number\"==typeof t.length)this.length=c(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},e.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},{ndarray:259,\"ndarray-ops\":254,\"typedarray-pool\":308}],79:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\");e.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,c=1/0,u=-1/0,f=1/0,h=-1/0,p=null,d=null,g=[],m=1/0,v=!1,y=0;y<r.length;y++){var x=r[y];s=Math.min(x[0],s),l=Math.max(x[0],l),c=Math.min(x[1],c),u=Math.max(x[1],u),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[y];if(n.length(b)>o&&(o=n.length(b)),y){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(m=Math.min(m,_),v=!1):v=!0}v||(p=x,d=b),g.push(b)}var w=[s,c,f],T=[l,u,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(m)||(m=1),a.vectorScale=m;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A;y=0;for(var M=0;y<r.length;y++)for(var S=(x=r[y])[0],E=x[1],L=x[2],C=g[y],P=n.length(C)*k,I=0;I<8;I++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var O=a.positions.length;a.cells.push([O-6,O-5,O-4],[O-3,O-2,O-1])}return a};var i=t(\"./lib/shaders\");e.exports.createMesh=t(\"./create_mesh\"),e.exports.createConeMesh=function(t,r){return e.exports.createMesh(t,r,{shaders:i,traceType:\"cone\"})}},{\"./create_mesh\":80,\"./lib/shaders\":81,\"gl-vec3\":169}],80:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"gl-mat4/multiply\"),l=t(\"gl-mat4/invert\"),c=t(\"ndarray\"),u=t(\"colormap\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e,r,n,i,a,o,s,l,c,u){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.pickShader=n,this.trianglePositions=i,this.triangleVectors=a,this.triangleColors=s,this.triangleUVs=l,this.triangleIds=o,this.triangleVAO=c,this.triangleCount=0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.traceType=u,this.tubeScale=1,this.coneScale=2,this.vectorScale=1,this.coneOffset=.25,this._model=f,this._view=f,this._projection=f,this._resolution=[1,1]}var p=h.prototype;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function g(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=u({colormap:t,nshades:256,format:\"rgba\"}),r=new Uint8Array(1024),n=0;n<256;++n){for(var i=e[n],a=0;a<3;++a)r[4*n+a]=i[a];r[4*n+3]=255*i[3]}return c(r,[256,256,4],[4,0,1])}(t.colormap)),this.texture.generateMipmap());var r=t.cells,n=t.positions,i=t.vectors;if(n&&r&&i){var a=[],o=[],s=[],l=[],f=[];this.cells=r,this.positions=n,this.vectors=i;var h=t.meshColor||[1,1,1,1],p=t.vertexIntensity,d=1/0,g=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],g=+t.vertexIntensityBounds[1];else for(var m=0;m<p.length;++m){var v=p[m];d=Math.min(d,v),g=Math.max(g,v)}else for(m=0;m<n.length;++m){v=n[m][2];d=Math.min(d,v),g=Math.max(g,v)}this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(m=0;m<n.length;++m)for(var y=n[m],x=0;x<3;++x)!isNaN(y[x])&&isFinite(y[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],y[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],y[x]));var b=0;t:for(m=0;m<r.length;++m){var _=r[m];switch(_.length){case 3:for(x=0;x<3;++x){y=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(y[w])||!isFinite(y[w]))continue t}for(x=0;x<3;++x){var T;y=n[T=_[2-x]];a.push(y[0],y[1],y[2],y[3]);var k=i[T];o.push(k[0],k[1],k[2],k[3]||0);var A,M=h;3===M.length?s.push(M[0],M[1],M[2],1):s.push(M[0],M[1],M[2],M[3]),A=p?[(p[T]-d)/(g-d),0]:[(y[2]-d)/(g-d),0],l.push(A[0],A[1]),f.push(m)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var c={model:r,view:n,projection:i,inverseModel:f.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],opacity:this.opacity,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,texture:0};c.inverseModel=l(c.inverseModel,c.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);s(u,c.view,c.model),s(u,c.projection,u),l(u,u);for(o=0;o<3;++o)c.eyePosition[o]=u[12+o]/u[15];var h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];c.lightPosition[o]=p/h}if(this.triangleCount>0){var g=this.triShader;g.bind(),g.uniforms=c,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()}},p.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s={model:r,view:n,projection:i,clipBounds:a,tubeScale:this.tubeScale,vectorScale:this.vectorScale,coneScale:this.coneScale,coneOffset:this.coneOffset,pickId:this.pickId/255},l=this.pickShader;l.bind(),l.uniforms=s,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind())},p.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions[r[1]].slice(0,3),i={position:n,dataCoordinate:n,index:Math.floor(r[1]/48)};return\"cone\"===this.traceType?i.index=Math.floor(r[1]/48):\"streamtube\"===this.traceType&&(i.intensity=this.intensity[r[1]],i.velocity=this.vectors[r[1]].slice(0,3),i.divergence=this.vectors[r[1]][3],i.index=e),i},p.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.pickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleVectors.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleIds.dispose()},e.exports=function(t,e,r){var n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=g(t,n),u=o(t,c(new Uint8Array([255,255,255,255]),[1,1,4]));u.generateMipmap(),u.minFilter=t.LINEAR_MIPMAP_LINEAR,u.magFilter=t.LINEAR;var f=i(t),p=i(t),m=i(t),v=i(t),y=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:m,type:t.FLOAT,size:4},{buffer:v,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,u,s,l,f,p,y,m,v,x,r.traceType||\"cone\");return b.update(e),b}},{colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],81:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},{glslify:231}],82:[function(t,e,r){e.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORM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t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var g=this,m=[0|e,0|r];Object.defineProperties(m,{0:{get:function(){return g._shape[0]},set:function(t){return g.width=t}},1:{get:function(){return g._shape[1]},set:function(t){return g.height=t}}}),this._shapeVector=m,function(t){var e=c(t.gl),r=t.gl,n=t.handle=r.createFramebuffer(),i=t._shape[0],a=t._shape[1],o=t.color.length,s=t._ext,d=t._useStencil,g=t._useDepth,m=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var v=0;v<o;++v)t.color[v]=h(r,i,a,m,r.RGBA,r.COLOR_ATTACHMENT0+v);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var y=r.getExtension(\"WEBGL_depth_texture\");y?d?t.depth=h(r,i,a,y.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):g&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):g?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null);for(v=0;v<t.color.length;++v)t.color[v].dispose(),t.color[v]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),u(r,e),f(x)}u(r,e)}(this)}var g=d.prototype;function m(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=c(n),o=0;o<t.color.length;++o)t.color[o].shape=t._shape;t._color_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._color_rb),n.renderbufferStorage(n.RENDERBUFFER,n.RGBA4,t._shape[0],t._shape[1])),t.depth&&(t.depth.shape=t._shape),t._depth_rb&&(n.bindRenderbuffer(n.RENDERBUFFER,t._depth_rb),t._useDepth&&t._useStencil?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_STENCIL,t._shape[0],t._shape[1]):t._useDepth?n.renderbufferStorage(n.RENDERBUFFER,n.DEPTH_COMPONENT16,t._shape[0],t._shape[1]):t._useStencil&&n.renderbufferStorage(n.RENDERBUFFER,n.STENCIL_INDEX,t._shape[0],t._shape[1])),n.bindFramebuffer(n.FRAMEBUFFER,t.handle);var s=n.checkFramebufferStatus(n.FRAMEBUFFER);s!==n.FRAMEBUFFER_COMPLETE&&(t.dispose(),u(n,a),f(s)),u(n,a)}}Object.defineProperties(g,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return m(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return m(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,m(this,this._shape[0],t),t},enumerable:!1}}),g.bind=function(){if(!this._destroyed){var t=this.gl;t.bindFramebuffer(t.FRAMEBUFFER,this.handle),t.viewport(0,0,this._shape[0],this._shape[1])}},g.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},{\"gl-texture2d\":146}],87:[function(t,e,r){var n=t(\"sprintf-js\").sprintf,i=t(\"gl-constants/lookup\"),a=t(\"glsl-shader-name\"),o=t(\"add-line-numbers\");e.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var c=n(\"Error compiling %s shader %s:\\n\",l,s),u=n(\"%s%s\",c,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var g=parseInt(d.split(\":\")[2]);if(isNaN(g))throw new Error(n(\"Could not parse error: %s\",d));h[g]=d}}var m=o(e).split(\"\\n\");for(p=0;p<m.length;p++)if(h[p+3]||h[p+2]||h[p+1]){var v=m[p];if(c+=v+\"\\n\",h[p+1]){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),c+=n(\"^^^ %s\\n\\n\",y)}}return{long:c.trim(),short:u.trim()}}},{\"add-line-numbers\":9,\"gl-constants/lookup\":83,\"glsl-shader-name\":223,\"sprintf-js\":301}],88:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=t.gl,n=o(r,l.vertex,l.fragment),i=o(r,l.pickVertex,l.pickFragment),a=s(r),u=s(r),f=s(r),h=s(r),p=new c(t,n,i,a,u,f,h);return p.update(e),t.addObject(p),p};var n=t(\"binary-search-bounds\"),i=t(\"iota-array\"),a=t(\"typedarray-pool\"),o=t(\"gl-shader\"),s=t(\"gl-buffer\"),l=t(\"./lib/shaders\");function c(t,e,r,n,i,a,o){this.plot=t,this.shader=e,this.pickShader=r,this.positionBuffer=n,this.weightBuffer=i,this.colorBuffer=a,this.idBuffer=o,this.xData=[],this.yData=[],this.shape=[0,0],this.bounds=[1/0,1/0,-1/0,-1/0],this.pickOffset=0}var u,f=c.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(u=[1,0,0,0,1,0,0,0,1],function(){var t=this.plot,e=this.shader,r=this.bounds,n=this.numVertices;if(!(n<=0)){var i=t.gl,a=t.dataBox,o=r[2]-r[0],s=r[3]-r[1],l=a[2]-a[0],c=a[3]-a[1];u[0]=2*o/l,u[4]=2*s/c,u[6]=2*(r[0]-a[0])/l-1,u[7]=2*(r[1]-a[1])/c-1,e.bind();var f=e.uniforms;f.viewTransform=u,f.shape=this.shape;var h=e.attributes;this.positionBuffer.bind(),h.position.pointer(),this.weightBuffer.bind(),h.weight.pointer(i.UNSIGNED_BYTE,!1),this.colorBuffer.bind(),h.color.pointer(i.UNSIGNED_BYTE,!0),i.drawArrays(i.TRIANGLES,0,n)}}),f.drawPick=function(){var t=[1,0,0,0,1,0,0,0,1],e=[0,0,0,0];return function(r){var n=this.plot,i=this.pickShader,a=this.bounds,o=this.numVertices;if(!(o<=0)){var s=n.gl,l=n.dataBox,c=a[2]-a[0],u=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*c/f,t[4]=2*u/h,t[6]=2*(a[0]-l[0])/f-1,t[7]=2*(a[1]-l[1])/h-1;for(var p=0;p<4;++p)e[p]=r>>8*p&255;this.pickOffset=r,i.bind();var d=i.uniforms;d.viewTransform=t,d.pickOffset=e,d.shape=this.shape;var g=i.attributes;return this.positionBuffer.bind(),g.position.pointer(),this.weightBuffer.bind(),g.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),g.pickId.pointer(s.UNSIGNED_BYTE,!1),s.drawArrays(s.TRIANGLES,0,o),r+this.shape[0]*this.shape[1]}}}(),f.pick=function(t,e,r){var n=this.pickOffset,i=this.shape[0]*this.shape[1];if(r<n||r>=n+i)return null;var a=r-n,o=this.xData,s=this.yData;return{object:this,pointId:a,dataCoord:[o[a%this.shape[0]],s[a/this.shape[0]|0]]}},f.update=function(t){var e=(t=t||{}).shape||[0,0],r=t.x||i(e[0]),o=t.y||i(e[1]),s=t.z||new Float32Array(e[0]*e[1]),l=!1!==t.zsmooth;this.xData=r,this.yData=o;var c,u,f,p,d=t.colorLevels||[0],g=t.colorValues||[0,0,0,1],m=d.length,v=this.bounds;l?(c=v[0]=r[0],u=v[1]=o[0],f=v[2]=r[r.length-1],p=v[3]=o[o.length-1]):(c=v[0]=r[0]+(r[1]-r[0])/2,u=v[1]=o[0]+(o[1]-o[0])/2,f=v[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=v[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var y=1/(f-c),x=1/(p-u),b=e[0],_=e[1];this.shape=[b,_];var w=(l?(b-1)*(_-1):b*_)*(h.length>>>1);this.numVertices=w;for(var T=a.mallocUint8(4*w),k=a.mallocFloat32(2*w),A=a.mallocUint8(2*w),M=a.mallocUint32(w),S=0,E=l?b-1:b,L=l?_-1:_,C=0;C<L;++C){var P,I;l?(P=x*(o[C]-u),I=x*(o[C+1]-u)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-u):x*(o[C]-(o[C]-o[C-1])/2-u),I=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-u):x*(o[C]+(o[C]-o[C-1])/2-u));for(var O=0;O<E;++O){var z,D;l?(z=y*(r[O]-c),D=y*(r[O+1]-c)):(z=O<b-1?y*(r[O]-(r[O+1]-r[O])/2-c):y*(r[O]-(r[O]-r[O-1])/2-c),D=O<b-1?y*(r[O]+(r[O+1]-r[O])/2-c):y*(r[O]+(r[O]-r[O-1])/2-c));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],H=s[l?(C+V)*b+(O+U):C*b+O],q=n.le(d,H);if(q<0)F=g[0],B=g[1],N=g[2],j=g[3];else if(q===m-1)F=g[4*m-4],B=g[4*m-3],N=g[4*m-2],j=g[4*m-1];else{var G=(H-d[q])/(d[q+1]-d[q]),Y=1-G,W=4*q,X=4*(q+1);F=Y*g[W]+G*g[X],B=Y*g[W+1]+G*g[X+1],N=Y*g[W+2]+G*g[X+2],j=Y*g[W+3]+G*g[X+3]}T[4*S]=255*F,T[4*S+1]=255*B,T[4*S+2]=255*N,T[4*S+3]=255*j,k[2*S]=.5*z+.5*D,k[2*S+1]=.5*P+.5*I,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+O,S+=1}}}this.positionBuffer.update(k),this.weightBuffer.update(A),this.colorBuffer.update(T),this.idBuffer.update(M),a.free(k),a.free(T),a.free(A),a.free(M)},f.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.positionBuffer.dispose(),this.weightBuffer.dispose(),this.colorBuffer.dispose(),this.idBuffer.dispose(),this.plot.removeObject(this)}},{\"./lib/shaders\":89,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"iota-array\":235,\"typedarray-pool\":308}],89:[function(t,e,r){\"use strict\";var n=t(\"glslify\");e.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},{glslify:231}],90:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];r.createShader=function(t){return i(t,a,o,null,l)},r.createPickShader=function(t){return i(t,a,s,null,l)}},{\"gl-shader\":132,glslify:231}],91:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=f(e);r.attributes.position.location=0,r.attributes.nextPosition.location=1,r.attributes.arcLength.location=2,r.attributes.lineWidth.location=3,r.attributes.color.location=4;var o=h(e);o.attributes.position.location=0,o.attributes.nextPosition.location=1,o.attributes.arcLength.location=2,o.attributes.lineWidth.location=3,o.attributes.color.location=4;for(var s=n(e),l=i(e,[{buffer:s,size:3,offset:0,stride:48},{buffer:s,size:3,offset:12,stride:48},{buffer:s,size:1,offset:24,stride:48},{buffer:s,size:1,offset:28,stride:48},{buffer:s,size:4,offset:32,stride:48}]),u=c(new Array(1024),[256,1,4]),p=0;p<1024;++p)u.data[p]=255;var d=a(e,u);d.wrap=e.REPEAT;var g=new v(e,r,o,s,l,d);return g.update(t),g};var n=t(\"gl-buffer\"),i=t(\"gl-vao\"),a=t(\"gl-texture2d\"),o=new Uint8Array(4),s=new Float32Array(o.buffer);var l=t(\"binary-search-bounds\"),c=t(\"ndarray\"),u=t(\"./lib/shaders\"),f=u.createShader,h=u.createPickShader,p=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function d(t,e){for(var r=0,n=0;n<3;++n){var i=t[n]-e[n];r+=i*i}return Math.sqrt(r)}function g(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function m(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function v(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var y=v.prototype;y.isTransparent=function(){return this.hasAlpha},y.isOpaque=function(){return!this.hasAlpha},y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.drawTransparent=y.draw=function(t){if(this.vertexCount){var e=this.gl,r=this.shader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,clipBounds:g(this.clipBounds),dashTexture:this.texture.bind(),dashScale:this.dashScale/this.arcLength[this.arcLength.length-1],opacity:this.opacity,screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.drawPick=function(t){if(this.vertexCount){var e=this.gl,r=this.pickShader,n=this.vao;r.bind(),r.uniforms={model:t.model||p,view:t.view||p,projection:t.projection||p,pickId:this.pickId,clipBounds:g(this.clipBounds),screenShape:[e.drawingBufferWidth,e.drawingBufferHeight],pixelRatio:this.pixelRatio},n.bind(),n.draw(e.TRIANGLE_STRIP,this.vertexCount),n.unbind()}},y.update=function(t){var e,r;this.dirty=!0;var n=!!t.connectGaps;\"dashScale\"in t&&(this.dashScale=t.dashScale),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=+t.opacity,this.opacity<1&&(this.hasAlpha=!0));var i=[],a=[],o=[],s=0,u=0,f=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],h=t.position||t.positions;if(h){var p=t.color||t.colors||[0,0,0,1],g=t.lineWidth||1,m=!1;t:for(e=1;e<h.length;++e){var v,y,x,b=h[e-1],_=h[e];for(a.push(s),o.push(b.slice()),r=0;r<3;++r){if(isNaN(b[r])||isNaN(_[r])||!isFinite(b[r])||!isFinite(_[r])){if(!n&&i.length>0){for(var w=0;w<24;++w)i.push(i[i.length-12]);u+=2,m=!0}continue t}f[0][r]=Math.min(f[0][r],b[r],_[r]),f[1][r]=Math.max(f[1][r],b[r],_[r])}Array.isArray(p[0])?(v=p.length>e-1?p[e-1]:p.length>0?p[p.length-1]:[0,0,0,1],y=p.length>e?p[e]:p.length>0?p[p.length-1]:[0,0,0,1]):v=y=p,3===v.length&&(v=[v[0],v[1],v[2],1]),3===y.length&&(y=[y[0],y[1],y[2],1]),!this.hasAlpha&&v[3]<1&&(this.hasAlpha=!0),x=Array.isArray(g)?g.length>e-1?g[e-1]:g.length>0?g[g.length-1]:[0,0,0,1]:g;var T=s;if(s+=d(b,_),m){for(r=0;r<2;++r)i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3]);u+=2,m=!1}i.push(b[0],b[1],b[2],_[0],_[1],_[2],T,x,v[0],v[1],v[2],v[3],b[0],b[1],b[2],_[0],_[1],_[2],T,-x,v[0],v[1],v[2],v[3],_[0],_[1],_[2],b[0],b[1],b[2],s,-x,y[0],y[1],y[2],y[3],_[0],_[1],_[2],b[0],b[1],b[2],s,x,y[0],y[1],y[2],y[3]),u+=4}}if(this.buffer.update(i),a.push(s),o.push(h[h.length-1].slice()),this.bounds=f,this.vertexCount=u,this.points=o,this.arcLength=a,\"dashes\"in t){var k=t.dashes.slice();for(k.unshift(0),e=1;e<k.length;++e)k[e]=k[e-1]+k[e];var A=c(new Array(1024),[256,1,4]);for(e=0;e<256;++e){for(r=0;r<4;++r)A.set(e,0,r,0);1&l.le(k,k[k.length-1]*e/255)?A.set(e,0,0,0):A.set(e,0,0,255)}this.texture.setPixels(A)}},y.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=function(t,e,r,n){return o[0]=n,o[1]=r,o[2]=e,o[3]=t,s[0]}(t.value[0],t.value[1],t.value[2],0),r=l.le(this.arcLength,e);if(r<0)return null;if(r===this.arcLength.length-1)return new m(this.arcLength[this.arcLength.length-1],this.points[this.points.length-1].slice(),r);for(var n=this.points[r],i=this.points[Math.min(r+1,this.points.length-1)],a=(e-this.arcLength[r])/(this.arcLength[r+1]-this.arcLength[r]),c=1-a,u=[0,0,0],f=0;f<3;++f)u[f]=c*n[f]+a*i[f];var h=Math.min(a<.5?r:r+1,this.points.length-1);return new m(e,u,h,this.points[h])}},{\"./lib/shaders\":90,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259}],92:[function(t,e,r){e.exports=function(t){var e=new Float32Array(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e}},{}],93:[function(t,e,r){e.exports=function(){var t=new Float32Array(16);return 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t[0]=1-(p+g),t[1]=f+y,t[2]=h-v,t[3]=0,t[4]=f-y,t[5]=1-(u+g),t[6]=d+m,t[7]=0,t[8]=h+v,t[9]=d-m,t[10]=1-(u+p),t[11]=0,t[12]=r[0],t[13]=r[1],t[14]=r[2],t[15]=1,t}},{}],97:[function(t,e,r){e.exports=function(t){return t[0]=1,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=1,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=1,t[11]=0,t[12]=0,t[13]=0,t[14]=0,t[15]=1,t}},{}],98:[function(t,e,r){e.exports=function(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=e[4],s=e[5],l=e[6],c=e[7],u=e[8],f=e[9],h=e[10],p=e[11],d=e[12],g=e[13],m=e[14],v=e[15],y=r*s-n*o,x=r*l-i*o,b=r*c-a*o,_=n*l-i*s,w=n*c-a*s,T=i*c-a*l,k=u*g-f*d,A=u*m-h*d,M=u*v-p*d,S=f*m-h*g,E=f*v-p*g,L=h*v-p*m,C=y*L-x*E+b*S+_*M-w*A+T*k;if(!C)return null;return C=1/C,t[0]=(s*L-l*E+c*S)*C,t[1]=(i*E-n*L-a*S)*C,t[2]=(g*T-m*w+v*_)*C,t[3]=(h*w-f*T-p*_)*C,t[4]=(l*M-o*L-c*A)*C,t[5]=(r*L-i*M+a*A)*C,t[6]=(m*b-d*T-v*x)*C,t[7]=(u*T-h*b+p*x)*C,t[8]=(o*E-s*M+c*k)*C,t[9]=(n*M-r*E-a*k)*C,t[10]=(d*w-g*b+v*y)*C,t[11]=(f*b-u*w-p*y)*C,t[12]=(s*A-o*S-l*k)*C,t[13]=(r*S-n*A+i*k)*C,t[14]=(g*x-d*_-m*y)*C,t[15]=(u*_-f*x+h*y)*C,t}},{}],99:[function(t,e,r){var n=t(\"./identity\");e.exports=function(t,e,r,i){var a,o,s,l,c,u,f,h,p,d,g=e[0],m=e[1],v=e[2],y=i[0],x=i[1],b=i[2],_=r[0],w=r[1],T=r[2];if(Math.abs(g-_)<1e-6&&Math.abs(m-w)<1e-6&&Math.abs(v-T)<1e-6)return n(t);f=g-_,h=m-w,p=v-T,d=1/Math.sqrt(f*f+h*h+p*p),a=x*(p*=d)-b*(h*=d),o=b*(f*=d)-y*p,s=y*h-x*f,(d=Math.sqrt(a*a+o*o+s*s))?(a*=d=1/d,o*=d,s*=d):(a=0,o=0,s=0);l=h*s-p*o,c=p*a-f*s,u=f*o-h*a,(d=Math.sqrt(l*l+c*c+u*u))?(l*=d=1/d,c*=d,u*=d):(l=0,c=0,u=0);return t[0]=a,t[1]=l,t[2]=f,t[3]=0,t[4]=o,t[5]=c,t[6]=h,t[7]=0,t[8]=s,t[9]=u,t[10]=p,t[11]=0,t[12]=-(a*g+o*m+s*v),t[13]=-(l*g+c*m+u*v),t[14]=-(f*g+h*m+p*v),t[15]=1,t}},{\"./identity\":97}],100:[function(t,e,r){e.exports=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],g=e[12],m=e[13],v=e[14],y=e[15],x=r[0],b=r[1],_=r[2],w=r[3];return t[0]=x*n+b*s+_*f+w*g,t[1]=x*i+b*l+_*h+w*m,t[2]=x*a+b*c+_*p+w*v,t[3]=x*o+b*u+_*d+w*y,x=r[4],b=r[5],_=r[6],w=r[7],t[4]=x*n+b*s+_*f+w*g,t[5]=x*i+b*l+_*h+w*m,t[6]=x*a+b*c+_*p+w*v,t[7]=x*o+b*u+_*d+w*y,x=r[8],b=r[9],_=r[10],w=r[11],t[8]=x*n+b*s+_*f+w*g,t[9]=x*i+b*l+_*h+w*m,t[10]=x*a+b*c+_*p+w*v,t[11]=x*o+b*u+_*d+w*y,x=r[12],b=r[13],_=r[14],w=r[15],t[12]=x*n+b*s+_*f+w*g,t[13]=x*i+b*l+_*h+w*m,t[14]=x*a+b*c+_*p+w*v,t[15]=x*o+b*u+_*d+w*y,t}},{}],101:[function(t,e,r){e.exports=function(t,e,r,n,i,a,o){var s=1/(e-r),l=1/(n-i),c=1/(a-o);return t[0]=-2*s,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=-2*l,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=2*c,t[11]=0,t[12]=(e+r)*s,t[13]=(i+n)*l,t[14]=(o+a)*c,t[15]=1,t}},{}],102:[function(t,e,r){e.exports=function(t,e,r,n,i){var a=1/Math.tan(e/2),o=1/(n-i);return t[0]=a/r,t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[5]=a,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[10]=(i+n)*o,t[11]=-1,t[12]=0,t[13]=0,t[14]=2*i*n*o,t[15]=0,t}},{}],103:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,w,T,k,A,M,S,E=n[0],L=n[1],C=n[2],P=Math.sqrt(E*E+L*L+C*C);if(Math.abs(P)<1e-6)return null;E*=P=1/P,L*=P,C*=P,i=Math.sin(r),a=Math.cos(r),o=1-a,s=e[0],l=e[1],c=e[2],u=e[3],f=e[4],h=e[5],p=e[6],d=e[7],g=e[8],m=e[9],v=e[10],y=e[11],x=E*E*o+a,b=L*E*o+C*i,_=C*E*o-L*i,w=E*L*o-C*i,T=L*L*o+a,k=C*L*o+E*i,A=E*C*o+L*i,M=L*C*o-E*i,S=C*C*o+a,t[0]=s*x+f*b+g*_,t[1]=l*x+h*b+m*_,t[2]=c*x+p*b+v*_,t[3]=u*x+d*b+y*_,t[4]=s*w+f*T+g*k,t[5]=l*w+h*T+m*k,t[6]=c*w+p*T+v*k,t[7]=u*w+d*T+y*k,t[8]=s*A+f*M+g*S,t[9]=l*A+h*M+m*S,t[10]=c*A+p*M+v*S,t[11]=u*A+d*M+y*S,e!==t&&(t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t}},{}],104:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[4],o=e[5],s=e[6],l=e[7],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=e[3],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[4]=a*i+c*n,t[5]=o*i+u*n,t[6]=s*i+f*n,t[7]=l*i+h*n,t[8]=c*i-a*n,t[9]=u*i-o*n,t[10]=f*i-s*n,t[11]=h*i-l*n,t}},{}],105:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[8],u=e[9],f=e[10],h=e[11];e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i-c*n,t[1]=o*i-u*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+c*i,t[9]=o*n+u*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},{}],106:[function(t,e,r){e.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],c=e[4],u=e[5],f=e[6],h=e[7];e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]);return t[0]=a*i+c*n,t[1]=o*i+u*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=c*i-a*n,t[5]=u*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},{}],107:[function(t,e,r){e.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},{}],108:[function(t,e,r){e.exports=function(t,e,r){var n,i,a,o,s,l,c,u,f,h,p,d,g=r[0],m=r[1],v=r[2];e===t?(t[12]=e[0]*g+e[4]*m+e[8]*v+e[12],t[13]=e[1]*g+e[5]*m+e[9]*v+e[13],t[14]=e[2]*g+e[6]*m+e[10]*v+e[14],t[15]=e[3]*g+e[7]*m+e[11]*v+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],c=e[6],u=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=c,t[7]=u,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*g+s*m+f*v+e[12],t[13]=i*g+l*m+h*v+e[13],t[14]=a*g+c*m+p*v+e[14],t[15]=o*g+u*m+d*v+e[15]);return t}},{}],109:[function(t,e,r){e.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},{}],110:[function(t,e,r){\"use strict\";var n=t(\"barycentric\"),i=t(\"polytope-closest-point/lib/closest_point_2d.js\");function a(t,e){for(var r=[0,0,0,0],n=0;n<4;++n)for(var i=0;i<4;++i)r[i]+=t[4*n+i]*e[n];return r}function o(t,e,r,n,i){for(var o=a(n,a(r,a(e,[t[0],t[1],t[2],1]))),s=0;s<3;++s)o[s]/=o[3];return[.5*i[0]*(1+o[0]),.5*i[1]*(1-o[1])]}function s(t,e){for(var r=[0,0,0],n=0;n<t.length;++n)for(var i=t[n],a=e[n],o=0;o<3;++o)r[o]+=a*i[o];return r}e.exports=function(t,e,r,a,l,c){if(1===t.length)return[0,t[0].slice()];for(var u=new Array(t.length),f=0;f<t.length;++f)u[f]=o(t[f],r,a,l,c);var h=0,p=1/0;for(f=0;f<u.length;++f){for(var d=0,g=0;g<2;++g)d+=Math.pow(u[f][g]-e[g],2);d<p&&(p=d,h=f)}var m=function(t,e){if(2===t.length){for(var r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return r=Math.sqrt(r),a=Math.sqrt(a),r+a<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(u,e),v=0;for(f=0;f<3;++f){if(m[f]<-.001||m[f]>1.0001)return null;v+=m[f]}if(Math.abs(v-1)>.001)return null;return[h,s(t,m),m]}},{barycentric:14,\"polytope-closest-point/lib/closest_point_2d.js\":270}],111:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  vec2 pointR = gl_PointCoord.xy - vec2(0.5, 0.5);\\n  if(dot(pointR, pointR) > 0.25) {\\n    discard;\\n  }\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),u=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_id        = id;\\n  f_position  = position;\\n}\"]),f=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]),h=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3  position;\\nattribute float pointSize;\\nattribute vec4  id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0, 0.0, 0.0);\\n  } else {\\n    gl_Position  = projection * view * model * vec4(position, 1.0);\\n    gl_PointSize = pointSize;\\n  }\\n  f_id         = id;\\n  f_position   = position;\\n}\"]),p=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n}\"]),d=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec3 contourColor;\\n\\nvoid main() {\\n  gl_FragColor = vec4(contourColor, 1.0);\\n}\\n\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},r.pointShader={vertex:l,fragment:c,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},r.pickShader={vertex:u,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},r.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},r.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},{glslify:231}],112:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"normals\"),l=t(\"gl-mat4/multiply\"),c=t(\"gl-mat4/invert\"),u=t(\"ndarray\"),f=t(\"colormap\"),h=t(\"simplicial-complex-contour\"),p=t(\"typedarray-pool\"),d=t(\"./lib/shaders\"),g=t(\"./lib/closest-point\"),m=d.meshShader,v=d.wireShader,y=d.pointShader,x=d.pickShader,b=d.pointPickShader,_=d.contourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function T(t,e,r,n,i,a,o,s,l,c,u,f,h,p,d,g,m,v,y,x,b,_,T,k,A,M,S){this.gl=t,this.pixelRatio=1,this.cells=[],this.positions=[],this.intensity=[],this.texture=e,this.dirty=!0,this.triShader=r,this.lineShader=n,this.pointShader=i,this.pickShader=a,this.pointPickShader=o,this.contourShader=s,this.trianglePositions=l,this.triangleColors=u,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=c,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=m,this.edgeUVs=v,this.edgeIds=g,this.edgeVAO=y,this.edgeCount=0,this.pointPositions=x,this.pointColors=_,this.pointUVs=T,this.pointSizes=k,this.pointIds=b,this.pointVAO=A,this.pointCount=0,this.contourLineWidth=1,this.contourPositions=M,this.contourVAO=S,this.contourCount=0,this.contourColor=[0,0,0],this.contourEnable=!0,this.pickVertex=!0,this.pickId=1,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.lightPosition=[1e5,1e5,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.opacity=1,this.hasAlpha=!1,this.opacityscale=!1,this._model=w,this._view=w,this._projection=w,this._resolution=[1,1]}var k=T.prototype;function A(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}function M(t){var e=n(t,m.vertex,m.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,v.vertex,v.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var c=r[l],u=0;u<2;++u){var f=c[0];2===c.length&&(f=c[u]);for(var d=n[f][0],g=n[f][1],m=i[f],v=1-m,y=this.positions[d],x=this.positions[g],b=0;b<3;++b)o[s++]=m*y[b]+v*x[b]}this.contourCount=s/3|0,this.contourPositions.update(o.subarray(0,s)),p.free(o)}else this.contourCount=0},k.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"contourEnable\"in t&&(this.contourEnable=t.contourEnable),\"contourColor\"in t&&(this.contourColor=t.contourColor),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=t.opacity,this.opacity<1&&(this.hasAlpha=!0)),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale,this.hasAlpha=!0),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),t.texture?(this.texture.dispose(),this.texture=o(e,t.texture)):t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t,e){for(var r=f({colormap:t,nshades:256,format:\"rgba\"}),n=new Uint8Array(1024),i=0;i<256;++i){for(var a=r[i],o=0;o<3;++o)n[4*i+o]=a[o];n[4*i+3]=e?255*A(i/255,e):255*a[3]}return u(n,[256,256,4],[4,0,1])}(t.colormap,this.opacityscale)),this.texture.generateMipmap());var r=t.cells,n=t.positions;if(n&&r){var i=[],a=[],l=[],c=[],h=[],p=[],d=[],g=[],m=[],v=[],y=[],x=[],b=[],_=[];this.cells=r,this.positions=n;var w=t.vertexNormals,T=t.cellNormals,k=void 0===t.vertexNormalsEpsilon?1e-6:t.vertexNormalsEpsilon,M=void 0===t.faceNormalsEpsilon?1e-6:t.faceNormalsEpsilon;t.useFacetNormals&&!T&&(T=s.faceNormals(r,n,M)),T||w||(w=s.vertexNormals(r,n,k));var S=t.vertexColors,E=t.cellColors,L=t.meshColor||[1,1,1,1],C=t.vertexUVs,P=t.vertexIntensity,I=t.cellUVs,O=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!I)if(P)if(t.vertexIntensityBounds)z=+t.vertexIntensityBounds[0],D=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];z=Math.min(z,F),D=Math.max(D,F)}else if(O)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<O.length;++R){F=O[R];z=Math.min(z,F),D=Math.max(D,F)}else for(R=0;R<n.length;++R){F=n[R][2];z=Math.min(z,F),D=Math.max(D,F)}this.intensity=P||(O||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n)),this.pickVertex=!(O||E);var B=t.pointSizes,N=t.pointSize||1;this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,H=0,q=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[W=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;v.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?y.push(X[0],X[1],X[2],this.opacity):(y.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[W]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[W=G[U]];for(var Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t}for(U=0;U<2;++U){j=n[W=G[U]];p.push(j[0],j[1],j[2]),X=S?S[W]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?d.push(X[0],X[1],X[2],this.opacity):(d.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],g.push(Z[0],Z[1]),m.push(R)}H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[W=G[U]],Y=0;Y<3;++Y)if(isNaN(j[Y])||!isFinite(j[Y]))continue t;for(U=0;U<3;++U){var W,X,Z,J;j=n[W=G[2-U]];i.push(j[0],j[1],j[2]),(X=S?S[W]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[W]-z)/(D-z),this.opacityscale)):3===X.length?a.push(X[0],X[1],X[2],this.opacity):(a.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),Z=C?C[W]:P?[(P[W]-z)/(D-z),0]:I?I[R]:O?[(O[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],c.push(Z[0],Z[1]),J=w?w[W]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(v),this.pointColors.update(y),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(g),this.edgeIds.update(new Uint32Array(m)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(c),this.triangleNormals.update(l),this.triangleIds.update(new Uint32Array(h))}},k.drawTransparent=k.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var s={model:r,view:n,projection:i,inverseModel:w.slice(),clipBounds:a,kambient:this.ambientLight,kdiffuse:this.diffuseLight,kspecular:this.specularLight,roughness:this.roughness,fresnel:this.fresnel,eyePosition:[0,0,0],lightPosition:[0,0,0],contourColor:this.contourColor,texture:0};s.inverseModel=c(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var u=new Array(16);l(u,s.view,s.model),l(u,s.projection,u),c(u,u);for(o=0;o<3;++o)s.eyePosition[o]=u[12+o]/u[15];var f,h=u[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*u[4*o+3];for(o=0;o<3;++o){for(var p=u[12+o],d=0;d<3;++d)p+=u[4*d+o]*this.lightPosition[d];s.lightPosition[o]=p/h}this.triangleCount>0&&((f=this.triShader).bind(),f.uniforms=s,this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind());this.edgeCount>0&&this.lineWidth>0&&((f=this.lineShader).bind(),f.uniforms=s,this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind());this.pointCount>0&&((f=this.pointShader).bind(),f.uniforms=s,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind());this.contourEnable&&this.contourCount>0&&this.contourLineWidth>0&&((f=this.contourShader).bind(),f.uniforms=s,this.contourVAO.bind(),e.drawArrays(e.LINES,0,this.contourCount),this.contourVAO.unbind())},k.drawPick=function(t){t=t||{};for(var e=this.gl,r=t.model||w,n=t.view||w,i=t.projection||w,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);this._model=[].slice.call(r),this._view=[].slice.call(n),this._projection=[].slice.call(i),this._resolution=[e.drawingBufferWidth,e.drawingBufferHeight];var s,l={model:r,view:n,projection:i,clipBounds:a,pickId:this.pickId/255};((s=this.pickShader).bind(),s.uniforms=l,this.triangleCount>0&&(this.triangleVAO.bind(),e.drawArrays(e.TRIANGLES,0,3*this.triangleCount),this.triangleVAO.unbind()),this.edgeCount>0&&(this.edgeVAO.bind(),e.lineWidth(this.lineWidth*this.pixelRatio),e.drawArrays(e.LINES,0,2*this.edgeCount),this.edgeVAO.unbind()),this.pointCount>0)&&((s=this.pointPickShader).bind(),s.uniforms=l,this.pointVAO.bind(),e.drawArrays(e.POINTS,0,this.pointCount),this.pointVAO.unbind())},k.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;for(var e=t.value[0]+256*t.value[1]+65536*t.value[2],r=this.cells[e],n=this.positions,i=new Array(r.length),a=0;a<r.length;++a)i[a]=n[r[a]];var o=t.coord[0],s=t.coord[1];if(!this.pickVertex){var l=this.positions[r[0]],c=this.positions[r[1]],u=this.positions[r[2]],f=[(l[0]+c[0]+u[0])/3,(l[1]+c[1]+u[1])/3,(l[2]+c[2]+u[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=g(i,[o*this.pixelRatio,this._resolution[1]-s*this.pixelRatio],this._model,this._view,this._projection,this._resolution);if(!h)return null;var p=h[2],d=0;for(a=0;a<r.length;++a)d+=p[a]*this.intensity[r[a]];return{position:h[1],index:r[h[0]],cell:r,cellId:e,intensity:d,dataCoordinate:this.positions[r[h[0]]]}},k.dispose=function(){this.texture.dispose(),this.triShader.dispose(),this.lineShader.dispose(),this.pointShader.dispose(),this.pickShader.dispose(),this.pointPickShader.dispose(),this.triangleVAO.dispose(),this.trianglePositions.dispose(),this.triangleColors.dispose(),this.triangleUVs.dispose(),this.triangleNormals.dispose(),this.triangleIds.dispose(),this.edgeVAO.dispose(),this.edgePositions.dispose(),this.edgeColors.dispose(),this.edgeUVs.dispose(),this.edgeIds.dispose(),this.pointVAO.dispose(),this.pointPositions.dispose(),this.pointColors.dispose(),this.pointUVs.dispose(),this.pointSizes.dispose(),this.pointIds.dispose(),this.contourVAO.dispose(),this.contourPositions.dispose(),this.contourShader.dispose()},e.exports=function(t,e){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=M(t),s=S(t),l=E(t),c=L(t),f=C(t),h=P(t),p=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));p.generateMipmap(),p.minFilter=t.LINEAR_MIPMAP_LINEAR,p.magFilter=t.LINEAR;var d=i(t),g=i(t),m=i(t),v=i(t),y=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:v,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),A=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),I=i(t),O=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:I,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:O,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,c,f,h,d,y,g,m,v,x,b,k,_,w,A,I,R,O,z,D,F,B,N);return j.update(e),j}},{\"./lib/closest-point\":110,\"./lib/shaders\":111,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-shader\":132,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,normals:261,\"simplicial-complex-contour\":291,\"typedarray-pool\":308}],113:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[0,0,0,1,1,0,1,1]),s=i(e,a.boxVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,c=a.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,o.uniforms.lo=s,o.uniforms.hi=l,o.uniforms.color=i,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],114:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,o.gridVert,o.gridFrag),l=i(e,o.tickVert,o.gridFrag);return new s(t,r,a,l)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"binary-search-bounds\"),o=t(\"./shaders\");function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var c,u,f,h,p,d=s.prototype;d.draw=(c=[0,0],u=[0,0],f=[0,0],function(){for(var t=this.plot,e=this.vbo,r=this.shader,n=this.ticks,i=t.gl,a=t._tickBounds,o=t.dataBox,s=t.viewBox,l=t.gridLineWidth,h=t.gridLineColor,p=t.gridLineEnable,d=t.pixelRatio,g=0;g<2;++g){var m=a[g],v=a[g+2]-m,y=.5*(o[g+2]+o[g]),x=o[g+2]-o[g];u[g]=2*v/x,c[g]=2*(m-y)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=c,r.uniforms.dataScale=u;var b=0;for(g=0;g<2;++g){f[0]=f[1]=0,f[g]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[g]/(s[g+2]-s[g])*d,r.uniforms.color=h[g];var _=6*n[g].length;p[g]&&_&&i.drawArrays(i.TRIANGLES,b,_),b+=_}}),d.drawTickMarks=function(){var t=[0,0],e=[0,0],r=[1,0],n=[0,1],i=[0,0],o=[0,0];return function(){for(var s=this.plot,c=this.vbo,u=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,g=s.viewBox,m=s.pixelRatio,v=s.screenBox,y=v[2]-v[0],x=v[3]-v[1],b=g[2]-g[0],_=g[3]-g[1],w=0;w<2;++w){var T=p[w],k=p[w+2]-T,A=.5*(d[w+2]+d[w]),M=d[w+2]-d[w];e[w]=2*k/M,t[w]=2*(T-A)/M}e[0]*=b/y,t[0]*=b/y,e[1]*=_/x,t[1]*=_/x,u.bind(),c.bind(),u.attributes.dataCoord.pointer();var S=u.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,I=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),O=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*I,D=6*Math.max(0,O-I),R=Math.min(a.ge(f[1],(d[1]-p[1])/(p[3]-p[1]),l),f[1].length),F=Math.min(a.gt(f[1],(d[3]-p[1])/(p[3]-p[1]),l),f[1].length),B=P+6*R,N=6*Math.max(0,F-R);i[0]=2*(g[0]-E[1])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[1]*m/y,o[1]=L[1]*m/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[1]-E[0])/x-1,o[0]=L[0]*m/y,o[1]=E[0]*m/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(g[2]+E[3])/y-1,i[1]=(g[3]+g[1])/x-1,o[0]=E[3]*m/y,o[1]=L[3]*m/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(g[2]+g[0])/y-1,i[1]=2*(g[3]+E[2])/x-1,o[0]=L[2]*m/y,o[1]=E[2]*m/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],c=r[o],u=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-c)/(u-c);s.push(d);for(var g=0;g<6;++g)n[i++]=d,n[i++]=h[g],n[i++]=p[g]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132}],115:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[-1,-1,-1,1,1,-1,1,1]),s=i(e,a.lineVert,a.lineFrag);return new o(t,r,s)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"./shaders\");function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,c=o.prototype;c.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},c.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,c=this.shader,u=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,c.uniforms.start=s,c.uniforms.end=l,c.uniforms.width=i*o.pixelRatio,c.uniforms.color=a,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),c.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"gl-buffer\":78,\"gl-shader\":132}],116:[function(t,e,r){\"use strict\";var n=t(\"glslify\"),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);e.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},{glslify:231}],117:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e),a=i(e,s.textVert,s.textFrag);return new l(t,r,a)};var n=t(\"gl-buffer\"),i=t(\"gl-shader\"),a=t(\"text-cache\"),o=t(\"binary-search-bounds\"),s=t(\"./shaders\");function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var c,u,f,h,p,d,g=l.prototype;g.drawTicks=(c=[0,0],u=[0,0],f=[0,0],function(t){var e=this.plot,r=this.shader,n=this.tickX[t],i=this.tickOffset[t],a=e.gl,s=e.viewBox,l=e.dataBox,h=e.screenBox,p=e.pixelRatio,d=e.tickEnable,g=e.tickPad,m=e.tickColor,v=e.tickAngle,y=e.labelEnable,x=e.labelPad,b=e.labelColor,_=e.labelAngle,w=this.labelOffset[t],T=this.labelCount[t],k=o.lt(n,l[t]),A=o.le(n,l[t+2]);c[0]=c[1]=0,c[t]=1,u[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];u[1^t]=M*s[1^t]-1,d[t]&&(u[1^t]-=M*p*g[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t],r.uniforms.angle=v[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t]&&T&&(u[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),u[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(u[1^t]+=M*p*g[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=c,r.uniforms.screenOffset=u,r.uniforms.color=m[t+2],r.uniforms.angle=v[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),y[t+2]&&T&&(u[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=u,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),g.drawTitle=function(){var t=[0,0],e=[0,0];return function(){var r=this.plot,n=this.shader,i=r.gl,a=r.screenBox,o=r.titleCenter,s=r.titleAngle,l=r.titleColor,c=r.pixelRatio;if(this.titleCount){for(var u=0;u<2;++u)e[u]=2*(o[u]*c-a[u])/(a[2+u]-a[u])-1;n.bind(),n.uniforms.dataAxis=t,n.uniforms.screenOffset=e,n.uniforms.angle=s,n.uniforms.color=l,i.drawArrays(i.TRIANGLES,this.titleOffset,this.titleCount)}}}(),g.bind=(h=[0,0],p=[0,0],d=[0,0],function(){var t=this.plot,e=this.shader,r=t._tickBounds,n=t.dataBox,i=t.screenBox,a=t.viewBox;e.bind();for(var o=0;o<2;++o){var s=r[o],l=r[o+2]-s,c=.5*(n[o+2]+n[o]),u=n[o+2]-n[o],f=a[o],g=a[o+2]-f,m=i[o],v=i[o+2]-m;p[o]=2*l/u*g/v,h[o]=2*(s-c)/u*g/v}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),g.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,c=t.bounds;for(o=0;o<2;++o){var u=[Math.floor(s.length/3)],f=[-1/0],h=l[o];for(e=0;e<h.length;++e){var p=h[e],d=p.x,g=p.text,m=p.font||\"sans-serif\";i=p.fontSize||12;for(var v=1/(c[o+2]-c[o]),y=c[o],x=g.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(m,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-y)*v);u.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=u,this.tickX[o]=f}for(o=0;o<2;++o){for(this.labelOffset[o]=Math.floor(s.length/3),n=a(t.labelFont[o],t.labels[o],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},g.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},{\"./shaders\":116,\"binary-search-bounds\":31,\"gl-buffer\":78,\"gl-shader\":132,\"text-cache\":303}],118:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=n(e,[e.drawingBufferWidth,e.drawingBufferHeight]),c=new l(e,r);return c.grid=i(c),c.text=a(c),c.line=o(c),c.box=s(c),c.update(t),c};var n=t(\"gl-select-static\"),i=t(\"./lib/grid\"),a=t(\"./lib/text\"),o=t(\"./lib/line\"),s=t(\"./lib/box\");function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var c=l.prototype;function u(t){for(var e=t.slice(),r=0;r<e.length;++r)e[r]=e[r].slice();return e}function f(t,e){return t.x-e.x}c.setDirty=function(){this.dirty=this.pickDirty=!0},c.setOverlayDirty=function(){this.dirty=!0},c.nextDepthValue=function(){return this._depthCounter++/65536},c.draw=function(){var t=this.gl,e=this.screenBox,r=this.viewBox,n=this.dataBox,i=this.pixelRatio,a=this.grid,o=this.line,s=this.text,l=this.objects;if(this._depthCounter=0,this.pickDirty&&(this._pickTimeout&&clearTimeout(this._pickTimeout),this.pickDirty=!1,this._pickTimeout=setTimeout(this._drawPick,this.pickDelay)),this.dirty){if(this.dirty=!1,t.bindFramebuffer(t.FRAMEBUFFER,null),t.enable(t.SCISSOR_TEST),t.disable(t.DEPTH_TEST),t.depthFunc(t.LESS),t.depthMask(!1),t.enable(t.BLEND),t.blendEquation(t.FUNC_ADD,t.FUNC_ADD),t.blendFunc(t.ONE,t.ONE_MINUS_SRC_ALPHA),this.borderColor){t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]);var c=this.borderColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[3]),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT)}t.scissor(r[0],r[1],r[2]-r[0],r[3]-r[1]),t.viewport(r[0],r[1],r[2]-r[0],r[3]-r[1]);var u=this.backgroundColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[3]),t.clear(t.COLOR_BUFFER_BIT),a.draw();var f=this.zeroLineEnable,h=this.zeroLineColor,p=this.zeroLineWidth;if(f[0]||f[1]){o.bind();for(var d=0;d<2;++d)if(f[d]&&n[d]<=0&&n[d+2]>=0){var g=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(g,e[1],g,e[3],p[d],h[d]):o.drawLine(e[0],g,e[2],g,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var m=this.borderLineEnable,v=this.borderLineWidth,y=this.borderLineColor;for(m[1]&&o.drawLine(r[0],r[1]-.5*v[1]*i,r[0],r[3]+.5*v[3]*i,v[1],y[1]),m[0]&&o.drawLine(r[0]-.5*v[0]*i,r[1],r[2]+.5*v[2]*i,r[1],v[0],y[0]),m[3]&&o.drawLine(r[2],r[1]-.5*v[1]*i,r[2],r[3]+.5*v[3]*i,v[3],y[3]),m[2]&&o.drawLine(r[0]-.5*v[0]*i,r[3],r[2]+.5*v[2]*i,r[3],v[2],y[2]),s.bind(),d=0;d<2;++d)s.drawTicks(d);this.titleEnable&&s.drawTitle();var x=this.overlays;for(d=0;d<x.length;++d)x[d].draw();t.disable(t.SCISSOR_TEST),t.disable(t.BLEND),t.depthMask(!0)}},c.drawPick=function(){if(!this.static){var t=this.pickBuffer;this.gl,this._pickTimeout=null,t.begin();for(var e=1,r=this.objects,n=0;n<r.length;++n)e=r[n].drawPick(e);t.end()}},c.pick=function(t,e){if(!this.static){var r=this.pixelRatio,n=this.pickPixelRatio,i=this.viewBox,a=0|Math.round((t-i[0]/r)*n),o=0|Math.round((e-i[1]/r)*n),s=this.pickBuffer.query(a,o,this.pickRadius);if(!s)return null;for(var l=s.id+(s.value[0]<<8)+(s.value[1]<<16)+(s.value[2]<<24),c=this.objects,u=0;u<c.length;++u){var f=c[u].pick(a,o,l);if(f)return f}return null}},c.setScreenBox=function(t){var e=this.screenBox,r=this.pixelRatio;e[0]=0|Math.round(t[0]*r),e[1]=0|Math.round(t[1]*r),e[2]=0|Math.round(t[2]*r),e[3]=0|Math.round(t[3]*r),this.setDirty()},c.setDataBox=function(t){var e=this.dataBox;(e[0]!==t[0]||e[1]!==t[1]||e[2]!==t[2]||e[3]!==t[3])&&(e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],this.setDirty())},c.setViewBox=function(t){var e=this.pixelRatio,r=this.viewBox;r[0]=0|Math.round(t[0]*e),r[1]=0|Math.round(t[1]*e),r[2]=0|Math.round(t[2]*e),r[3]=0|Math.round(t[3]*e);var n=this.pickPixelRatio;this.pickBuffer.shape=[0|Math.round((t[2]-t[0])*n),0|Math.round((t[3]-t[1])*n)],this.setDirty()},c.update=function(t){t=t||{};var e=this.gl;this.pixelRatio=t.pixelRatio||1;var r=this.pixelRatio;this.pickPixelRatio=Math.max(r,1),this.setScreenBox(t.screenBox||[0,0,e.drawingBufferWidth/r,e.drawingBufferHeight/r]);this.screenBox;this.setViewBox(t.viewBox||[.125*(this.screenBox[2]-this.screenBox[0])/r,.125*(this.screenBox[3]-this.screenBox[1])/r,.875*(this.screenBox[2]-this.screenBox[0])/r,.875*(this.screenBox[3]-this.screenBox[1])/r]);var n=this.viewBox,i=(n[2]-n[0])/(n[3]-n[1]);this.setDataBox(t.dataBox||[-10,-10/i,10,10/i]),this.borderColor=!1!==t.borderColor&&(t.borderColor||[0,0,0,0]).slice(),this.backgroundColor=(t.backgroundColor||[0,0,0,0]).slice(),this.gridLineEnable=(t.gridLineEnable||[!0,!0]).slice(),this.gridLineWidth=(t.gridLineWidth||[1,1]).slice(),this.gridLineColor=u(t.gridLineColor||[[.5,.5,.5,1],[.5,.5,.5,1]]),this.zeroLineEnable=(t.zeroLineEnable||[!0,!0]).slice(),this.zeroLineWidth=(t.zeroLineWidth||[4,4]).slice(),this.zeroLineColor=u(t.zeroLineColor||[[0,0,0,1],[0,0,0,1]]),this.tickMarkLength=(t.tickMarkLength||[0,0,0,0]).slice(),this.tickMarkWidth=(t.tickMarkWidth||[0,0,0,0]).slice(),this.tickMarkColor=u(t.tickMarkColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.titleCenter=(t.titleCenter||[.5*(n[0]+n[2])/r,(n[3]+120)/r]).slice(),this.titleEnable=!(\"titleEnable\"in t)||!!t.titleEnable,this.titleAngle=t.titleAngle||0,this.titleColor=(t.titleColor||[0,0,0,1]).slice(),this.labelPad=(t.labelPad||[15,15,15,15]).slice(),this.labelAngle=(t.labelAngle||[0,Math.PI/2,0,3*Math.PI/2]).slice(),this.labelEnable=(t.labelEnable||[!0,!0,!0,!0]).slice(),this.labelColor=u(t.labelColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.tickPad=(t.tickPad||[15,15,15,15]).slice(),this.tickAngle=(t.tickAngle||[0,0,0,0]).slice(),this.tickEnable=(t.tickEnable||[!0,!0,!0,!0]).slice(),this.tickColor=u(t.tickColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]),this.borderLineEnable=(t.borderLineEnable||[!0,!0,!0,!0]).slice(),this.borderLineWidth=(t.borderLineWidth||[2,2,2,2]).slice(),this.borderLineColor=u(t.borderLineColor||[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]]);var a=t.ticks||[[],[]],o=this._tickBounds;o[0]=o[1]=1/0,o[2]=o[3]=-1/0;for(var s=0;s<2;++s){var l=a[s].slice(0);0!==l.length&&(l.sort(f),o[s]=Math.min(o[s],l[0].x),o[s+2]=Math.max(o[s+2],l[l.length-1].x))}this.grid.update({bounds:o,ticks:a}),this.text.update({bounds:o,ticks:a,labels:t.labels||[\"x\",\"y\"],labelSize:t.labelSize||[12,12],labelFont:t.labelFont||[\"sans-serif\",\"sans-serif\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),this.static=!!t.static,this.setDirty()},c.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();this.objects.length=0;for(t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},c.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},c.removeObject=function(t){for(var e=this.objects,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setDirty();break}},c.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},c.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},{\"./lib/box\":113,\"./lib/grid\":114,\"./lib/line\":115,\"./lib/text\":117,\"gl-select-static\":131}],119:[function(t,e,r){\"use strict\";e.exports=function(t,e){t=t||document.body,e=e||{};var r=[.01,1/0];\"distanceLimits\"in e&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]);\"zoomMin\"in e&&(r[0]=e.zoomMin);\"zoomMax\"in e&&(r[1]=e.zoomMax);var c=i({center:e.center||[0,0,0],up:e.up||[0,1,0],eye:e.eye||[0,0,10],mode:e.mode||\"orbit\",distanceLimits:r}),u=[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],f=0,h=t.clientWidth,p=t.clientHeight,d={keyBindingMode:\"rotate\",enableWheel:!0,view:c,element:t,delay:e.delay||16,rotateSpeed:e.rotateSpeed||1,zoomSpeed:e.zoomSpeed||1,translateSpeed:e.translateSpeed||1,flipX:!!e.flipX,flipY:!!e.flipY,modes:c.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;c.idle(e-r),c.recalcMatrix(i),c.flush(e-(100+2*r));for(var a=!0,o=c.computedMatrix,s=0;s<16;++s)a=a&&u[s]===o[s],u[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(c.computedRadius[0]),!0)},lookAt:function(t,e,r){c.lookAt(c.lastT(),t,e,r)},rotate:function(t,e,r){c.rotate(c.lastT(),t,e,r)},pan:function(t,e,r){c.pan(c.lastT(),t,e,r)},translate:function(t,e,r){c.translate(c.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return c.computedMatrix},set:function(t){return c.setMatrix(c.lastT(),t),c.computedMatrix},enumerable:!0},mode:{get:function(){return c.getMode()},set:function(t){var e=c.computedUp.slice(),r=c.computedEye.slice(),i=c.computedCenter.slice();if(c.setMode(t),\"turntable\"===t){var a=n();c._active.lookAt(a,r,i,e),c._active.lookAt(a+500,r,i,[0,0,1]),c._active.flush(a)}return c.getMode()},enumerable:!0},center:{get:function(){return c.computedCenter},set:function(t){return c.lookAt(c.lastT(),null,t),c.computedCenter},enumerable:!0},eye:{get:function(){return c.computedEye},set:function(t){return c.lookAt(c.lastT(),t),c.computedEye},enumerable:!0},up:{get:function(){return c.computedUp},set:function(t){return c.lookAt(c.lastT(),null,null,t),c.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return c.setDistance(c.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return c.getDistanceLimits(r)},set:function(t){return c.setDistanceLimits(t),t},enumerable:!0}}),t.addEventListener(\"contextmenu\",(function(t){return t.preventDefault(),!1})),d._lastX=-1,d._lastY=-1,d._lastMods={shift:!1,control:!1,alt:!1,meta:!1},d.enableMouseListeners=function(){function e(e,r,i,a){var o=d.keyBindingMode;if(!1!==o){var s=\"rotate\"===o,l=\"pan\"===o,u=\"zoom\"===o,h=!!a.control,p=!!a.alt,g=!!a.shift,m=!!(1&e),v=!!(2&e),y=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&m&&!h&&!p&&!g||m&&!h&&!p&&g)&&c.rotate(A,w*k*b,-T*k*_,0),(l&&m&&!h&&!p&&!g||v||m&&h&&!p&&!g)&&c.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),u&&m&&!h&&!p&&!g||y||m&&!h&&p&&!g)){var M=-d.zoomSpeed*_/window.innerHeight*(A-c.lastT())*100;c.pan(A,0,0,f*(Math.exp(M)-1))}return d._lastX=r,d._lastY=i,d._lastMods=a,!0}}d.mouseListener=a(t,e),t.addEventListener(\"touchstart\",(function(r){var n=s(r.changedTouches[0],t);e(0,n[0],n[1],d._lastMods),e(1,n[0],n[1],d._lastMods)}),!!l&&{passive:!0}),t.addEventListener(\"touchmove\",(function(r){var n=s(r.changedTouches[0],t);e(1,n[0],n[1],d._lastMods),r.preventDefault()}),!!l&&{passive:!1}),t.addEventListener(\"touchend\",(function(t){e(0,d._lastX,d._lastY,d._lastMods)}),!!l&&{passive:!0}),d.wheelListener=o(t,(function(t,e){if(!1!==d.keyBindingMode&&d.enableWheel){var r=d.flipX?1:-1,i=d.flipY?1:-1,a=n();if(Math.abs(t)>Math.abs(e))c.rotate(a,0,0,-t*r*Math.PI*d.rotateSpeed/window.innerWidth);else if(!d._ortho){var o=-d.zoomSpeed*i*e/window.innerHeight*(a-c.lastT())/20;c.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=t(\"right-now\"),i=t(\"3d-view\"),a=t(\"mouse-change\"),o=t(\"mouse-wheel\"),s=t(\"mouse-event-offset\"),l=t(\"has-passive-events\")},{\"3d-view\":7,\"has-passive-events\":232,\"mouse-change\":247,\"mouse-event-offset\":248,\"mouse-wheel\":250,\"right-now\":278}],120:[function(t,e,r){var n=t(\"glslify\"),i=t(\"gl-shader\"),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);e.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},{\"gl-shader\":132,glslify:231}],121:[function(t,e,r){\"use strict\";var n=t(\"./camera.js\"),i=t(\"gl-axes3d\"),a=t(\"gl-axes3d/properties\"),o=t(\"gl-spikes3d\"),s=t(\"gl-select-static\"),l=t(\"gl-fbo\"),c=t(\"a-big-triangle\"),u=t(\"mouse-change\"),f=t(\"gl-mat4/perspective\"),h=t(\"gl-mat4/ortho\"),p=t(\"./lib/shader\"),d=t(\"is-mobile\")({tablet:!0,featureDetect:!0});function g(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function m(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}if(e>0){r=Math.round(Math.pow(10,e));return Math.ceil(t/r)*r}return Math.ceil(t)}function v(t){return\"boolean\"!=typeof t||t}e.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;if(!e){if(e=document.createElement(\"canvas\"),t.container)t.container.appendChild(e);else document.body.appendChild(e)}var r=t.gl;r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d}));if(!r)throw new Error(\"webgl not supported\");var y=t.bounds||[[-10,-10,-10],[10,10,10]],x=new g,b=l(r,r.drawingBufferWidth,r.drawingBufferHeight,{preferFloat:!d}),_=p(r),w=t.cameraObject&&!0===t.cameraObject._ortho||t.camera.projection&&\"orthographic\"===t.camera.projection.type||!1,T={eye:t.camera.eye||[2,0,0],center:t.camera.center||[0,0,0],up:t.camera.up||[0,1,0],zoomMin:t.camera.zoomMax||.1,zoomMax:t.camera.zoomMin||100,mode:t.camera.mode||\"turntable\",_ortho:w},k=t.axes||{},A=i(r,k);A.enable=!k.disable;var M=t.spikes||{},S=o(r,M),E=[],L=[],C=[],P=[],I=!0,O=!0,z=new Array(16),D=new Array(16),R={view:null,projection:z,model:D,_ortho:!1},F=(O=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),B=t.cameraObject||n(e,T),N={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:B,axes:A,axesPixels:null,spikes:S,bounds:y,objects:E,shape:F,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:v(t.autoResize),autoBounds:v(t.autoBounds),autoScale:!!t.autoScale,autoCenter:v(t.autoCenter),clipToBounds:v(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:R,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,O=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},j=[r.drawingBufferWidth/N.pixelRatio|0,r.drawingBufferHeight/N.pixelRatio|0];function U(){if(!N._stopped&&N.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*N.pixelRatio),a=0|Math.ceil(n*N.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",I=!0}}}N.autoResize&&U();function V(){for(var t=E.length,e=P.length,n=0;n<e;++n)C[n]=0;t:for(n=0;n<t;++n){var i=E[n],a=i.pickSlots;if(a){for(var o=0;o<e;++o)if(C[o]+a<255){L[n]=o,i.setPickBase(C[o]+1),C[o]+=a;continue t}var l=s(r,F);L[n]=e,P.push(l),C.push(a),i.setPickBase(1),e+=1}else L[n]=-1}for(;e>0&&0===C[e-1];)C.pop(),P.pop().dispose()}function H(){if(N.contextLost)return!0;r.isContextLost()&&(N.contextLost=!0,N.mouseListener.enabled=!1,N.selection.object=null,N.oncontextloss&&N.oncontextloss())}window.addEventListener(\"resize\",U),N.update=function(t){N._stopped||(t=t||{},I=!0,O=!0)},N.add=function(t){N._stopped||(t.axes=A,E.push(t),L.push(-1),I=!0,O=!0,V())},N.remove=function(t){if(!N._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),I=!0,O=!0,V())}},N.dispose=function(){if(!N._stopped&&(N._stopped=!0,window.removeEventListener(\"resize\",U),e.removeEventListener(\"webglcontextlost\",H),N.mouseListener.enabled=!1,!N.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();b.dispose();for(t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},N._mouseRotating=!1,N._prevButtons=0,N.enableMouseListeners=function(){N.mouseListener=u(e,(function(t,e,r){if(!N._stopped){var n=P.length,i=E.length,a=x.object;x.distance=1/0,x.mouse[0]=e,x.mouse[1]=r,x.object=null,x.screen=null,x.dataCoordinate=x.dataPosition=null;var o=!1;if(t&&N._prevButtons)N._mouseRotating=!0;else{N._mouseRotating&&(O=!0),N._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,j[1]-r-1,N.pickRadius);if(l){if(l.distance>x.distance)continue;for(var c=0;c<i;++c){var u=E[c];if(L[c]===s){var f=u.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=u,x.index=f.distance,x.dataPosition=f.position,x.dataCoordinate=f.dataCoordinate,x.data=f,o=!0)}}}}}a&&a!==x.object&&(a.highlight&&a.highlight(null),I=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),I=!0),(o=o||x.object!==a)&&N.onselect&&N.onselect(x),1&t&&!(1&N._prevButtons)&&N.onclick&&N.onclick(x),N._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",H);var q=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],G=[q[0].slice(),q[1].slice()];function Y(){if(!H()){U();var t=N.camera.tick();R.view=N.camera.matrix,I=I||t,O=O||t,A.pixelRatio=N.pixelRatio,S.pixelRatio=N.pixelRatio;var e=E.length,n=q[0],i=q[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=N.pixelRatio,C.axes=N.axes,I=I||!!C.dirty,O=O||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],u=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],u[p])}var d=N.bounds;if(N.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var g=.05*(i[p]-n[p]);n[p]=n[p]-g,i[p]=i[p]+g}d[0][p]=n[p],d[1][p]=i[p]}var v=!1;for(p=0;p<3;++p)v=v||G[0][p]!==d[0][p]||G[1][p]!==d[1][p],G[0][p]=d[0][p],G[1][p]=d[1][p];if(O=O||v,I=I||v){if(v){var y=[0,0,0];for(o=0;o<3;++o)y[o]=m((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:y}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;F[0]=T,F[1]=k,j[0]=0|Math.max(T/N.pixelRatio,1),j[1]=0|Math.max(k/N.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,c=t.zFar,u=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,c),n._ortho=!0):(f(i,u,p,l,c),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var g=0;for(d=0;d<3;++d)g=Math.max(g,r[1][d]-r[0][d]);for(d=0;d<3;++d)t.autoScale?a[5*d]=t.aspect[d]/(r[1][d]-r[0][d]):a[5*d]=1/g,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(N,w);for(o=0;o<e;++o){(C=E[o]).axesBounds=d,N.clipToBounds&&(C.clipBounds=d)}x.object&&(N.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),O&&(O=!1,function(){if(!H()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=j,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(R))}i.end()}}}()),N.axesPixels=a(N.axes,R,T,k),N.onrender&&N.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),N.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;A.enable&&(M=M||A.isTransparent(),A.draw(R)),S.axes=A,x.object&&S.draw(R),r.disable(r.CULL_FACE);for(o=0;o<e;++o){(C=E[o]).axes=A,C.pixelRatio=N.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(R),C.isTransparent&&C.isTransparent()&&(M=!0)}if(M){b.shape=F,b.bind(),r.clear(r.DEPTH_BUFFER_BIT),r.colorMask(!1,!1,!1,!1),r.depthMask(!0),r.depthFunc(r.LESS),A.enable&&A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(R)}r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(R);for(o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(R)}r.bindFramebuffer(r.FRAMEBUFFER,null),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.disable(r.DEPTH_TEST),_.bind(),b.color[0].bind(0),_.uniforms.accumBuffer=0,c(r),r.disable(r.BLEND)}I=!1;for(o=0;o<e;++o)E[o].dirty=!1}}}return N.enableMouseListeners(),function t(){if(N._stopped||N.contextLost)return;Y(),requestAnimationFrame(t)}(),N.redraw=function(){N._stopped||(I=!0,Y())},N},createCamera:n}},{\"./camera.js\":119,\"./lib/shader\":120,\"a-big-triangle\":8,\"gl-axes3d\":70,\"gl-axes3d/properties\":77,\"gl-fbo\":86,\"gl-mat4/ortho\":101,\"gl-mat4/perspective\":102,\"gl-select-static\":131,\"gl-spikes3d\":141,\"is-mobile\":238,\"mouse-change\":247}],122:[function(t,e,r){var n=t(\"glslify\");r.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),r.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),r.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),r.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},{glslify:231}],123:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"typedarray-pool\"),o=t(\"./lib/shader\");function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}e.exports=function(t,e){var r=t.gl,a=i(r),l=i(r),c=n(r,o.pointVertex,o.pointFragment),u=n(r,o.pickVertex,o.pickFragment),f=new s(t,a,l,c,u);return f.update(e),t.addObject(f),f};var l,c,u=s.prototype;u.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},u.update=function(t){var e;function r(e,r){return e in t?t[e]:r}t=t||{},this.sizeMin=r(\"sizeMin\",.5),this.sizeMax=r(\"sizeMax\",20),this.color=r(\"color\",[1,0,0,1]).slice(),this.areaRatio=r(\"areaRatio\",1),this.borderColor=r(\"borderColor\",[0,0,0,1]).slice(),this.blend=r(\"blend\",!1);var n=t.positions.length>>>1,i=t.positions instanceof Float32Array,o=t.idToIndex instanceof Int32Array&&t.idToIndex.length>=n,s=t.positions,l=i?s:a.mallocFloat32(s.length),c=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)c[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(c),i||a.free(l),o||a.free(c),this.pointCount=n,this.pickOffset=0},u.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],c=[0,0,0,0],function(t){var e=void 0!==t,r=e?this.pickShader:this.shader,n=this.plot.gl,i=this.plot.dataBox;if(0===this.pointCount)return t;var a=i[2]-i[0],o=i[3]-i[1],s=function(t,e){var r,n=0,i=t.length>>>1;for(r=0;r<i;r++){var a=t[2*r],o=t[2*r+1];a>=e[0]&&a<=e[2]&&o>=e[1]&&o<=e[3]&&n++}return n}(this.points,i),u=this.plot.pickPixelRatio*Math.max(Math.min(this.sizeMinCap,this.sizeMin),Math.min(this.sizeMax,this.sizeMax/Math.pow(s,.33333)));l[0]=2/a,l[4]=2/o,l[6]=-2*i[0]/a-1,l[7]=-2*i[1]/o-1,this.offsetBuffer.bind(),r.bind(),r.attributes.position.pointer(),r.uniforms.matrix=l,r.uniforms.color=this.color,r.uniforms.borderColor=this.borderColor,r.uniforms.pointCloud=u<5,r.uniforms.pointSize=u,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(c[0]=255&t,c[1]=t>>8&255,c[2]=t>>16&255,c[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=c,this.pickOffset=t);var f=n.getParameter(n.BLEND),h=n.getParameter(n.DITHER);return f&&!this.blend&&n.disable(n.BLEND),h&&n.disable(n.DITHER),n.drawArrays(n.POINTS,0,this.pointCount),f&&!this.blend&&n.enable(n.BLEND),h&&n.enable(n.DITHER),t+this.pointCount}),u.draw=u.unifiedDraw,u.drawPick=u.unifiedDraw,u.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},{\"./lib/shader\":122,\"gl-buffer\":78,\"gl-shader\":132,\"typedarray-pool\":308}],124:[function(t,e,r){e.exports=function(t,e,r,n){var i,a,o,s,l,c=e[0],u=e[1],f=e[2],h=e[3],p=r[0],d=r[1],g=r[2],m=r[3];(a=c*p+u*d+f*g+h*m)<0&&(a=-a,p=-p,d=-d,g=-g,m=-m);1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n);return t[0]=s*c+l*p,t[1]=s*u+l*d,t[2]=s*f+l*g,t[3]=s*h+l*m,t}},{}],125:[function(t,e,r){\"use strict\";e.exports=function(t){return t||0===t?t.toString():\"\"}},{}],126:[function(t,e,r){\"use strict\";var n=t(\"vectorize-text\");e.exports=function(t,e,r){var a=i[e];a||(a=i[e]={});if(t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,c,u=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(c=0;c<s.positions[l].length;++c)s.positions[l][c]/=r;for(l=0;l<u.positions.length;++l)for(c=0;c<u.positions[l].length;++c)u.positions[l][c]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=u.positions.length;for(l=0;l<h;++l){var p=u.positions[l];for(c=0;c<2;++c)f[0][c]=Math.min(f[0][c],p[c]),f[1][c]=Math.max(f[1][c],p[c])}return a[t]=[s,u,f]};var i={}},{\"vectorize-text\":311}],127:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),c=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float pickGroup;\\n\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate)) discard;\\n\\n  gl_FragColor = vec4(pickGroup, pickId.bgr);\\n}\"]),u=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:u},h={vertex:o,fragment:l,attributes:u},p={vertex:s,fragment:l,attributes:u},d={vertex:a,fragment:c,attributes:u},g={vertex:o,fragment:c,attributes:u},m={vertex:s,fragment:c,attributes:u};function v(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}r.createPerspective=function(t){return v(t,f)},r.createOrtho=function(t){return v(t,h)},r.createProject=function(t){return v(t,p)},r.createPickPerspective=function(t){return v(t,d)},r.createPickOrtho=function(t){return v(t,g)},r.createPickProject=function(t){return v(t,m)}},{\"gl-shader\":132,glslify:231}],128:[function(t,e,r){\"use strict\";var n=t(\"is-string-blank\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"typedarray-pool\"),s=t(\"gl-mat4/multiply\"),l=t(\"./lib/shaders\"),c=t(\"./lib/glyphs\"),u=t(\"./lib/get-simple-string\"),f=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1];function h(t,e){var r=t[0],n=t[1],i=t[2],a=t[3];return t[0]=e[0]*r+e[4]*n+e[8]*i+e[12]*a,t[1]=e[1]*r+e[5]*n+e[9]*i+e[13]*a,t[2]=e[2]*r+e[6]*n+e[10]*i+e[14]*a,t[3]=e[3]*r+e[7]*n+e[11]*i+e[15]*a,t}function p(t,e,r,n){return h(n,n),h(n,n),h(n,n)}function d(t,e){this.index=t,this.dataCoordinate=this.position=e}function g(t){return!0===t||t>1?1:t}function m(t,e,r,n,i,a,o,s,l,c,u,f){this.gl=t,this.pixelRatio=1,this.shader=e,this.orthoShader=r,this.projectShader=n,this.pointBuffer=i,this.colorBuffer=a,this.glyphBuffer=o,this.idBuffer=s,this.vao=l,this.vertexCount=0,this.lineVertexCount=0,this.opacity=1,this.hasAlpha=!1,this.lineWidth=0,this.projectScale=[2/3,2/3,2/3],this.projectOpacity=[1,1,1],this.projectHasAlpha=!1,this.pickId=0,this.pickPerspectiveShader=c,this.pickOrthoShader=u,this.pickProjectShader=f,this.points=[],this._selectResult=new d(0,[0,0,0]),this.useOrtho=!0,this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.axesProject=[!0,!0,!0],this.axesBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.highlightId=[1,1,1,1],this.highlightScale=2,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.dirty=!0}e.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),c=l.createPickOrtho(e),u=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),g=a(e,[{buffer:f,size:3,type:e.FLOAT},{buffer:h,size:4,type:e.FLOAT},{buffer:p,size:2,type:e.FLOAT},{buffer:d,size:4,type:e.UNSIGNED_BYTE,normalized:!0}]),v=new m(e,r,n,o,f,h,p,d,g,s,c,u);return v.update(t),v};var v=m.prototype;v.pickSlots=1,v.setPickBase=function(t){this.pickId=t},v.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},v.isOpaque=function(){if(!this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&!this.projectHasAlpha)return!0;return!1};var y=[0,0],x=[0,0,0],b=[0,0,0],_=[0,0,0,1],w=[0,0,0,1],T=f.slice(),k=[0,0,0],A=[[0,0,0],[0,0,0]];function M(t){return t[0]=t[1]=t[2]=0,t}function S(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[3]=1,t}function E(t,e,r,n){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t[r]=n,t}function L(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,c=r.model||f,u=r.view||f,h=r.projection||f,d=e.axesBounds,g=function(t){for(var e=A,r=0;r<2;++r)for(var n=0;n<3;++n)e[r][n]=Math.max(Math.min(t[r][n],1e8),-1e8);return e}(e.clipBounds);i=e.axes&&e.axes.lastCubeProps?e.axes.lastCubeProps.axis:[1,1,1],y[0]=2/o.drawingBufferWidth,y[1]=2/o.drawingBufferHeight,t.bind(),l.view=u,l.projection=h,l.screenSize=y,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=g,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var m=0;m<3;++m)if(a[m]){l.scale=e.projectScale[m],l.opacity=e.projectOpacity[m];for(var v=T,L=0;L<16;++L)v[L]=0;for(L=0;L<4;++L)v[5*L]=1;v[5*m]=0,i[m]<0?v[12+m]=d[0][m]:v[12+m]=d[1][m],s(v,c,v),l.model=v;var C=(m+1)%3,P=(m+2)%3,I=M(x),O=M(b);I[C]=1,O[P]=1;var z=p(0,0,0,S(_,I)),D=p(0,0,0,S(w,O));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=I,I=O,O=R;var F=C;C=P,P=F}z[0]<0&&(I[C]=-1),D[1]>0&&(O[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(c[4*C+L],2),N+=Math.pow(c[4*P+L],2);I[C]/=Math.sqrt(B),O[P]/=Math.sqrt(N),l.axes[0]=I,l.axes[1]=O,l.fragClipBounds[0]=E(k,g[0],m,-1e8),l.fragClipBounds[1]=E(k,g[1],m,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}var C=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function P(t,e,r,n,i,a,o){var s=r.gl;if((a===r.projectHasAlpha||o)&&L(e,r,n,i),a===r.hasAlpha||o){t.bind();var l=t.uniforms;l.model=n.model||f,l.view=n.view||f,l.projection=n.projection||f,y[0]=2/s.drawingBufferWidth,y[1]=2/s.drawingBufferHeight,l.screenSize=y,l.highlightId=r.highlightId,l.highlightScale=r.highlightScale,l.fragClipBounds=C,l.clipBounds=r.axes.bounds,l.opacity=r.opacity,l.pickGroup=r.pickId/255,l.pixelRatio=i,r.vao.bind(),r.vao.draw(s.TRIANGLES,r.vertexCount),r.lineWidth>0&&(s.lineWidth(r.lineWidth*i),r.vao.draw(s.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function I(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=u(a);var o=!0;n(a)&&(a=\"\\u25bc\",o=!1);var s=c(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}v.draw=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},v.drawTransparent=function(t){P(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},v.drawPick=function(t){P(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},v.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},v.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},v.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){if(Array.isArray(t.projectOpacity))this.projectOpacity=t.projectOpacity.slice();else{r=+t.projectOpacity;this.projectOpacity=[r,r,r]}for(var n=0;n<3;++n)this.projectOpacity[n]=g(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=g(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",c=t.alignment||[0,0];if(2===c.length)i=c[0],a=c[1];else{i=[],a=[];for(n=0;n<c.length;++n)i[n]=c[n][0],a[n]=c[n][1]}var u=[1/0,1/0,1/0],f=[-1/0,-1/0,-1/0],h=t.glyph,p=t.color,d=t.size,m=t.angle,v=t.lineColor,y=-1,x=0,b=0,_=0;if(s.length){_=s.length;t:for(n=0;n<_;++n){for(var w=s[n],T=0;T<3;++T)if(isNaN(w[T])||!isFinite(w[T]))continue t;var k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;x+=3*k.cells.length,b+=2*A.edges.length}}var S=x+b,E=o.mallocFloat(3*S),L=o.mallocFloat(4*S),C=o.mallocFloat(2*S),P=o.mallocUint32(S);if(S>0){var O=0,z=x,D=[0,0,0,1],R=[0,0,0,1],F=Array.isArray(p)&&Array.isArray(p[0]),B=Array.isArray(v)&&Array.isArray(v[0]);t:for(n=0;n<_;++n){y+=1;for(w=s[n],T=0;T<3;++T){if(isNaN(w[T])||!isFinite(w[T]))continue t;f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T])}k=(N=I(h,n,l,this.pixelRatio)).mesh,A=N.lines,M=N.bounds;var N,j=N.visible;if(j)if(Array.isArray(p)){if(3===(U=F?n<p.length?p[n]:[0,0,0,0]:p).length){for(T=0;T<3;++T)D[T]=U[T];D[3]=1}else if(4===U.length){for(T=0;T<4;++T)D[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else D[0]=D[1]=D[2]=0,D[3]=1;else D=[1,1,1,0];if(j)if(Array.isArray(v)){var U;if(3===(U=B?n<v.length?v[n]:[0,0,0,0]:v).length){for(T=0;T<3;++T)R[T]=U[T];R[T]=1}else if(4===U.length){for(T=0;T<4;++T)R[T]=U[T];!this.hasAlpha&&U[3]<1&&(this.hasAlpha=!0)}}else R[0]=R[1]=R[2]=0,R[3]=1;else R=[1,1,1,0];var V=.5;j?Array.isArray(d)?V=n<d.length?+d[n]:12:d?V=+d:this.useOrtho&&(V=12):V=0;var H=0;Array.isArray(m)?H=n<m.length?+m[n]:0:m&&(H=+m);var q=Math.cos(H),G=Math.sin(H);for(w=s[n],T=0;T<3;++T)f[T]=Math.max(f[T],w[T]),u[T]=Math.min(u[T],w[T]);var Y=i,W=a;Y=0;Array.isArray(i)?Y=n<i.length?i[n]:0:i&&(Y=i);W=0;Array.isArray(a)?W=n<a.length?a[n]:0:a&&(W=a);var X=[Y*=Y>0?1-M[0][0]:Y<0?1+M[1][0]:1,W*=W>0?1-M[0][1]:W<0?1+M[1][1]:1],Z=k.cells||[],J=k.positions||[];for(T=0;T<Z.length;++T)for(var K=Z[T],Q=0;Q<3;++Q){for(var $=0;$<3;++$)E[3*O+$]=w[$];for($=0;$<4;++$)L[4*O+$]=D[$];P[O]=y;var tt=J[K[Q]];C[2*O]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*O+1]=V*(G*tt[0]+q*tt[1]+X[1]),O+=1}for(Z=A.edges,J=A.positions,T=0;T<Z.length;++T)for(K=Z[T],Q=0;Q<2;++Q){for($=0;$<3;++$)E[3*z+$]=w[$];for($=0;$<4;++$)L[4*z+$]=R[$];P[z]=y;tt=J[K[Q]];C[2*z]=V*(q*tt[0]-G*tt[1]+X[0]),C[2*z+1]=V*(G*tt[0]+q*tt[1]+X[1]),z+=1}}}this.bounds=[u,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(P),o.free(E),o.free(L),o.free(C),o.free(P)},v.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},{\"./lib/get-simple-string\":125,\"./lib/glyphs\":126,\"./lib/shaders\":127,\"gl-buffer\":78,\"gl-mat4/multiply\":100,\"gl-vao\":150,\"is-string-blank\":239,\"typedarray-pool\":308}],129:[function(t,e,r){\"use strict\";var n=t(\"glslify\");r.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid main() {\\n  gl_Position = vec4(mix(cornerA, cornerB, vertex), 0, 1);\\n}\\n\"]),r.boxFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\n\\nvoid main() {\\n  gl_FragColor = color;\\n}\\n\"])},{glslify:231}],130:[function(t,e,r){\"use strict\";var n=t(\"gl-shader\"),i=t(\"gl-buffer\"),a=t(\"./lib/shaders\");function o(t,e,r){this.plot=t,this.boxBuffer=e,this.boxShader=r,this.enabled=!0,this.selectBox=[1/0,1/0,-1/0,-1/0],this.borderColor=[0,0,0,1],this.innerFill=!1,this.innerColor=[0,0,0,.25],this.outerFill=!0,this.outerColor=[0,0,0,.5],this.borderWidth=10}e.exports=function(t,e){var r=t.gl,s=i(r,[0,0,0,1,1,0,1,1]),l=n(r,a.boxVertex,a.boxFragment),c=new o(t,s,l);return c.update(e),t.addOverlay(c),c};var s=o.prototype;s.draw=function(){if(this.enabled){var t=this.plot,e=this.selectBox,r=this.borderWidth,n=(this.innerFill,this.innerColor),i=(this.outerFill,this.outerColor),a=this.borderColor,o=t.box,s=t.screenBox,l=t.dataBox,c=t.viewBox,u=t.pixelRatio,f=(e[0]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],h=(e[1]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1],p=(e[2]-l[0])*(c[2]-c[0])/(l[2]-l[0])+c[0],d=(e[3]-l[1])*(c[3]-c[1])/(l[3]-l[1])+c[1];if(f=Math.max(f,c[0]),h=Math.max(h,c[1]),p=Math.min(p,c[2]),d=Math.min(d,c[3]),!(p<f||d<h)){o.bind();var g=s[2]-s[0],m=s[3]-s[1];if(this.outerFill&&(o.drawBox(0,0,g,h,i),o.drawBox(0,h,f,d,i),o.drawBox(0,d,g,m,i),o.drawBox(p,h,g,d,i)),this.innerFill&&o.drawBox(f,h,p,d,n),r>0){var v=r*u;o.drawBox(f-v,h-v,p+v,h+v,a),o.drawBox(f-v,d-v,p+v,d+v,a),o.drawBox(f-v,h-v,f+v,d+v,a),o.drawBox(p-v,h-v,p+v,d+v,a)}}}},s.update=function(t){t=t||{},this.innerFill=!!t.innerFill,this.outerFill=!!t.outerFill,this.innerColor=(t.innerColor||[0,0,0,.5]).slice(),this.outerColor=(t.outerColor||[0,0,0,.5]).slice(),this.borderColor=(t.borderColor||[0,0,0,1]).slice(),this.borderWidth=t.borderWidth||0,this.selectBox=(t.selectBox||this.selectBox).slice()},s.dispose=function(){this.boxBuffer.dispose(),this.boxShader.dispose(),this.plot.removeOverlay(this)}},{\"./lib/shaders\":129,\"gl-buffer\":78,\"gl-shader\":132}],131:[function(t,e,r){\"use strict\";e.exports=function(t,e){var r=e[0],a=e[1],o=n(t,r,a,{}),s=i.mallocUint8(r*a*4);return new l(t,o,s)};var n=t(\"gl-fbo\"),i=t(\"typedarray-pool\"),a=t(\"ndarray\"),o=t(\"bit-twiddle\").nextPow2;function s(t,e,r,n,i){this.coord=[t,e],this.id=r,this.value=n,this.distance=i}function l(t,e,r){this.gl=t,this.fbo=e,this.buffer=r,this._readTimeout=null;var n=this;this._readCallback=function(){n.gl&&(e.bind(),t.readPixels(0,0,e.shape[0],e.shape[1],t.RGBA,t.UNSIGNED_BYTE,n.buffer),n._readTimeout=null)}}var c=l.prototype;Object.defineProperty(c,\"shape\",{get:function(){return this.gl?this.fbo.shape.slice():[0,0]},set:function(t){if(this.gl){this.fbo.shape=t;var e=this.fbo.shape[0],r=this.fbo.shape[1];if(r*e*4>this.buffer.length){i.free(this.buffer);for(var n=this.buffer=i.mallocUint8(o(r*e*4)),a=0;a<r*e*4;++a)n[a]=255}return t}}}),c.begin=function(){var t=this.gl;this.shape;t&&(this.fbo.bind(),t.clearColor(1,1,1,1),t.clear(t.COLOR_BUFFER_BIT|t.DEPTH_BUFFER_BIT))},c.end=function(){var t=this.gl;t&&(t.bindFramebuffer(t.FRAMEBUFFER,null),this._readTimeout||clearTimeout(this._readTimeout),this._readTimeout=setTimeout(this._readCallback,1))},c.query=function(t,e,r){if(!this.gl)return null;var n=this.fbo.shape.slice();t|=0,e|=0,\"number\"!=typeof r&&(r=1);var i=0|Math.min(Math.max(t-r,0),n[0]),o=0|Math.min(Math.max(t+r,0),n[0]),l=0|Math.min(Math.max(e-r,0),n[1]),c=0|Math.min(Math.max(e+r,0),n[1]);if(o<=i||c<=l)return null;var u=[o-i,c-l],f=a(this.buffer,[u[0],u[1],4],[4,4*n[0],1],4*(i+n[0]*l)),h=function(t,e,r){for(var n=1e8,i=-1,a=-1,o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var c=0;c<s;c++){var u=t.get(l,c,0),f=t.get(l,c,1),h=t.get(l,c,2),p=t.get(l,c,3);if(u<255||f<255||h<255||p<255){var d=e-l,g=r-c,m=d*d+g*g;m<n&&(n=m,i=l,a=c)}}return[i,a,n]}(f.hi(u[0],u[1],1),r,r),p=h[0],d=h[1];return p<0||Math.pow(this.radius,2)<h[2]?null:new s(p+i|0,d+l|0,f.get(p,d,0),[f.get(p,d,1),f.get(p,d,2),f.get(p,d,3)],Math.sqrt(h[2]))},c.dispose=function(){this.gl&&(this.fbo.dispose(),i.free(this.buffer),this.gl=null,this._readTimeout&&clearTimeout(this._readTimeout))}},{\"bit-twiddle\":32,\"gl-fbo\":86,ndarray:259,\"typedarray-pool\":308}],132:[function(t,e,r){\"use strict\";var n=t(\"./lib/create-uniforms\"),i=t(\"./lib/create-attributes\"),a=t(\"./lib/reflect\"),o=t(\"./lib/shader-cache\"),s=t(\"./lib/runtime-reflect\"),l=t(\"./lib/GLError\");function c(t){this.gl=t,this.gl.lastAttribCount=0,this._vref=this._fref=this._relink=this.vertShader=this.fragShader=this.program=this.attributes=this.uniforms=this.types=null}var u=c.prototype;function f(t,e){return t.name<e.name?-1:1}u.bind=function(){var t;this.program||this._relink();var e=this.gl.getProgramParameter(this.program,this.gl.ACTIVE_ATTRIBUTES),r=this.gl.lastAttribCount;if(e>r)for(t=r;t<e;t++)this.gl.enableVertexAttribArray(t);else if(r>e)for(t=e;t<r;t++)this.gl.disableVertexAttribArray(t);this.gl.lastAttribCount=e,this.gl.useProgram(this.program)},u.dispose=function(){for(var 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w=c[y];if(w.type.indexOf(\"mat\")>=0){for(var T=0|w.type.charAt(w.type.length-1),k=new Array(T),A=0;A<T;++A)k[A]=_.length,b.push(w.name+\"[\"+A+\"]\"),\"number\"==typeof w.location?_.push(w.location+A):Array.isArray(w.location)&&w.location.length===T&&\"number\"==typeof w.location[A]?_.push(0|w.location[A]):_.push(-1);x.push({name:w.name,type:w.type,locations:k})}else x.push({name:w.name,type:w.type,locations:[_.length]}),b.push(w.name),\"number\"==typeof w.location?_.push(0|w.location):_.push(-1)}var M=0;for(y=0;y<_.length;++y)if(_[y]<0){for(;_.indexOf(M)>=0;)M+=1;_[y]=M}var S=new Array(r.length);function E(){h.program=o.program(p,h._vref,h._fref,b,_);for(var t=0;t<r.length;++t)S[t]=p.getUniformLocation(h.program,r[t].name)}E(),h._relink=E,h.types={uniforms:a(r),attributes:a(c)},h.attributes=i(p,h,x,_),Object.defineProperty(h,\"uniforms\",n(p,h,r,S))},e.exports=function(t,e,r,n,i){var a=new c(t);return 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h=c,p=u,d=0;d<3;++d)i&&i[d]<0?(h[d]=this.bounds[0][d],p[d]=this.bounds[1][d]):(h[d]=this.bounds[1][d],p[d]=this.bounds[0][d]);f[0]=e.drawingBufferWidth,f[1]=e.drawingBufferHeight,n.uniforms.model=a,n.uniforms.view=s,n.uniforms.projection=l,n.uniforms.coordinates=[this.position,h,p],n.uniforms.colors=this.colors,n.uniforms.screenShape=f;for(d=0;d<3;++d)n.uniforms.lineWidth=this.lineWidth[d]*this.pixelRatio,this.enabled[d]&&(r.draw(e.TRIANGLES,6,6*d),this.drawSides[d]&&r.draw(e.TRIANGLES,12,18+12*d));r.unbind()},l.update=function(t){t&&(\"bounds\"in t&&(this.bounds=t.bounds),\"position\"in t&&(this.position=t.position),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"colors\"in t&&(this.colors=t.colors),\"enabled\"in t&&(this.enabled=t.enabled),\"drawSides\"in t&&(this.drawSides=t.drawSides))},l.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},{\"./shaders/index\":140,\"gl-buffer\":78,\"gl-vao\":150}],142:[function(t,e,r){var n=t(\"glslify\"),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);r.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},r.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},{glslify:231}],143:[function(t,e,r){\"use strict\";var n=t(\"gl-vec3\"),i=t(\"gl-vec4\"),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,c=0;c<l.length;c++)o=Math.max(o,n.length(l[c]));var u=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,c=[],u=[],f=[],h=[],p=[],d=[],g=0,m=0,v=i.create(),y=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),m=n.length(_)/a,v=i.create(),n.copy(v,_),v[3]=w;for(var T=0;T<8;T++)p[T]=[b[0],b[1],b[2],T];if(h.length>0)for(T=0;T<8;T++){var k=(T+1)%8;c.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(y,v,v,v,y,y),d.push(g,m,m,m,g,g);var A=c.length;u.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=y;y=v,v=S;var E=g;g=m,m=E}return{positions:c,cells:u,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<u.length;s++){var g=u[s],m=f.length;f=f.concat(g.positions),p=p.concat(g.vectors),d=d.concat(g.vertexIntensity);for(c=0;c<g.cells.length;c++){var v=g.cells[c],y=[];h.push(y);for(var x=0;x<v.length;x++)y.push(v[x]+m)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}},s=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},l=function(t,e,r){return t<e?e:t>r?r:t},c=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};e.exports=function(t,e){var r=t.startingPositions,i=t.maxLength||1e3,u=t.tubeSize||1,f=t.absoluteTubeSize,h=t.gridFill||\"+x+y+z\",p={};-1!==h.indexOf(\"-x\")&&(p.reversedX=!0),-1!==h.indexOf(\"-y\")&&(p.reversedY=!0),-1!==h.indexOf(\"-z\")&&(p.reversedZ=!0),p.filled=a.indexOf(h.replace(/-/g,\"\").replace(/\\+/g,\"\"));var d=t.getVelocity||function(e){return function(t,e,r){var i=e.vectors,a=e.meshgrid,o=t[0],c=t[1],u=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=s(a[0],o),g=s(a[1],c),m=s(a[2],u),v=d+1,y=g+1,x=m+1;if(d=l(d,0,f-1),v=l(v,0,f-1),g=l(g,0,h-1),y=l(y,0,h-1),m=l(m,0,p-1),x=l(x,0,p-1),d<0||g<0||m<0||v>f-1||y>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][v],E=a[1][g],L=a[1][y],C=a[2][m],P=(o-M)/(S-M),I=(c-E)/(L-E),O=(u-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(I)||(I=.5),isFinite(O)||(O=.5),r.reversedX&&(d=f-1-d,v=f-1-v),r.reversedY&&(g=h-1-g,y=h-1-y),r.reversedZ&&(m=p-1-m,x=p-1-x),r.filled){case 5:k=m,A=x,w=g*p,T=y*p,b=d*p*h,_=v*p*h;break;case 4:k=m,A=x,b=d*p,_=v*p,w=g*p*f,T=y*p*f;break;case 3:w=g,T=y,k=m*h,A=x*h,b=d*h*p,_=v*h*p;break;case 2:w=g,T=y,b=d*h,_=v*h,k=m*h*f,A=x*h*f;break;case 1:b=d,_=v,k=m*f,A=x*f,w=g*f*p,T=y*f*p;break;default:b=d,_=v,w=g*f,T=y*f,k=m*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(H,D,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Y=n.create(),W=n.create();n.lerp(Y,V,q,I),n.lerp(W,H,G,I);var X=n.create();return n.lerp(X,Y,W,O),X}(e,t,p)},g=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},m=[],v=e[0][0],y=e[0][1],x=e[0][2],b=e[1][0],_=e[1][1],w=e[1][2],T=function(t){var e=t[0],r=t[1],n=t[2];return!(e<v||e>b||r<y||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/i,A=k*k,M=1,S=0,E=r.length;E>1&&(M=function(t){for(var e=[],r=[],n=[],i={},a={},o={},s=t.length,l=0;l<s;l++){var u=t[l],f=u[0],h=u[1],p=u[2];i[f]||(e.push(f),i[f]=!0),a[h]||(r.push(h),a[h]=!0),o[p]||(n.push(p),o[p]=!0)}var d=c(e),g=c(r),m=c(n),v=Math.min(d,g,m);return isFinite(v)?v:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],I=[],O=d(C),z=C;I.push(O);var D=[],R=g(C,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),m.push({points:P,velocities:I,divergences:D});for(var B=0;B<100*i&&P.length<i&&T(C);){B++;var N=n.clone(O),j=n.squaredLength(N);if(0===j)break;if(j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),O=d(N),n.squaredDistance(z,N)-A>-1e-4*A){P.push(N),z=N,I.push(O);R=g(N,O),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F)}C=N}}var U=o(m,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*u*M/S),U};var u=t(\"./lib/shaders\"),f=t(\"gl-cone3d\").createMesh;e.exports.createTubeMesh=function(t,e){return f(t,e,{shaders:u,traceType:\"streamtube\"})}},{\"./lib/shaders\":142,\"gl-cone3d\":79,\"gl-vec3\":169,\"gl-vec4\":205}],144:[function(t,e,r){var n=t(\"gl-shader\"),i=t(\"glslify\"),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n  vec4 clipPosition = projection * view * worldPosition;\\n  gl_Position = clipPosition;\\n  kill = f.y;\\n  value = f.z;\\n  planeCoordinate = uv.xy;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * worldPosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  lightDirection = lightPosition - cameraCoordinate.xyz;\\n  eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  surfaceNormal  = normalize((vec4(normal,0) * inverseModel).xyz);\\n}\\n\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat beckmannSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness) {\\n  return beckmannDistribution(dot(surfaceNormal, normalize(lightDirection + viewDirection)), roughness);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 lowerBound, upperBound;\\nuniform float contourTint;\\nuniform vec4 contourColor;\\nuniform sampler2D colormap;\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform float vertexColor;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  if (\\n    kill > 0.0 ||\\n    vColor.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], worldCoordinate)\\n  ) discard;\\n\\n  vec3 N = normalize(surfaceNormal);\\n  vec3 V = normalize(eyeDirection);\\n  vec3 L = normalize(lightDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = max(beckmannSpecular(L, V, N, roughness), 0.);\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  //decide how to interpolate color \\u2014 in vertex or in fragment\\n  vec4 surfaceColor =\\n    step(vertexColor, .5) * texture2D(colormap, vec2(value, value)) +\\n    step(.5, vertexColor) * vColor;\\n\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = mix(litColor, contourColor, contourTint) * opacity;\\n}\\n\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute float f;\\n\\nuniform vec3 objectOffset;\\nuniform mat3 permutation;\\nuniform mat4 model, view, projection;\\nuniform float height, zOffset;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 dataCoordinate = permutation * vec3(uv.xy, height);\\n  worldCoordinate = objectOffset + dataCoordinate;\\n  vec4 worldPosition = model * vec4(worldCoordinate, 1.0);\\n\\n  vec4 clipPosition = projection * view * worldPosition;\\n  clipPosition.z += zOffset;\\n\\n  gl_Position = clipPosition;\\n  value = f + objectOffset.z;\\n  kill = -1.0;\\n  planeCoordinate = uv.zw;\\n\\n  vColor = texture2D(colormap, vec2(value, value));\\n\\n  //Don't do lighting for contours\\n  surfaceNormal   = vec3(1,0,0);\\n  eyeDirection    = vec3(0,1,0);\\n  lightDirection  = vec3(0,0,1);\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec2 shape;\\nuniform vec3 clipBounds[2];\\nuniform float pickId;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 surfaceNormal;\\n\\nvec2 splitFloat(float v) {\\n  float vh = 255.0 * v;\\n  float upper = floor(vh);\\n  float lower = fract(vh);\\n  return vec2(upper / 255.0, floor(lower * 16.0) / 16.0);\\n}\\n\\nvoid main() {\\n  if ((kill > 0.0) ||\\n      (outOfRange(clipBounds[0], clipBounds[1], worldCoordinate))) discard;\\n\\n  vec2 ux = splitFloat(planeCoordinate.x / shape.x);\\n  vec2 uy = splitFloat(planeCoordinate.y / shape.y);\\n  gl_FragColor = vec4(pickId, ux.x, uy.x, ux.y + (uy.y/16.0));\\n}\\n\"]);r.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},r.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},r.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},{\"gl-shader\":132,glslify:231}],145:[function(t,e,r){\"use strict\";e.exports=function(t){var e=t.gl,r=y(e),n=b(e),s=x(e),l=_(e),c=i(e),u=a(e,[{buffer:c,size:4,stride:40,offset:0},{buffer:c,size:3,stride:40,offset:16},{buffer:c,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),g=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);g.minFilter=e.LINEAR,g.magFilter=e.LINEAR;var m=new M(e,[0,0],[[0,0,0],[0,0,0]],r,n,c,u,g,s,l,f,h,p,d,[0,0,0]),v={levels:[[],[],[]]};for(var w in t)v[w]=t[w];return v.colormap=v.colormap||\"jet\",m.update(v),m};var n=t(\"bit-twiddle\"),i=t(\"gl-buffer\"),a=t(\"gl-vao\"),o=t(\"gl-texture2d\"),s=t(\"typedarray-pool\"),l=t(\"colormap\"),c=t(\"ndarray-ops\"),u=t(\"ndarray-pack\"),f=t(\"ndarray\"),h=t(\"surface-nets\"),p=t(\"gl-mat4/multiply\"),d=t(\"gl-mat4/invert\"),g=t(\"binary-search-bounds\"),m=t(\"ndarray-gradient\"),v=t(\"./lib/shaders\"),y=v.createShader,x=v.createContourShader,b=v.createPickShader,_=v.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();function M(t,e,r,n,i,a,o,l,c,u,h,p,d,g,m){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=m,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=c,this._contourPickShader=u,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new A([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=g,this._dynamicOffsets=[0,0,0],this._dynamicCounts=[0,0,0],this.contourWidth=[1,1,1],this.contourLevels=[[1],[1],[1]],this.contourTint=[0,0,0],this.contourColor=[[.5,.5,.5,1],[.5,.5,.5,1],[.5,.5,.5,1]],this.showContour=!0,this.showSurface=!0,this.enableHighlight=[!0,!0,!0],this.highlightColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.highlightTint=[1,1,1],this.highlightLevel=[-1,-1,-1],this.enableDynamic=[!0,!0,!0],this.dynamicLevel=[NaN,NaN,NaN],this.dynamicColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.dynamicTint=[1,1,1],this.dynamicWidth=[1,1,1],this.axesBounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],this.surfaceProject=[!1,!1,!1],this.contourProject=[[!1,!1,!1],[!1,!1,!1],[!1,!1,!1]],this.colorBounds=[!1,!1],this._field=[f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0]),f(s.mallocFloat(1024),[0,0])],this.pickId=1,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.snapToData=!1,this.pixelRatio=1,this.opacity=1,this.lightPosition=[10,1e4,0],this.ambientLight=.8,this.diffuseLight=.8,this.specularLight=2,this.roughness=.5,this.fresnel=1.5,this.vertexColor=0,this.dirty=!0}var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=u([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return c.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var c=L.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)c[i][n]=t.clipBounds[i][n];c[0][r]=-1e8,c[1][r]=1e8}return L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},I=w.slice(),O=[1,0,0,0,1,0,0,0,1];function z(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=O,n.vertexColor=this.vertexColor;var s=I;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var c=s[12+i];for(o=0;o<3;++o)c+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=c/l}var u=C(n,this);if(u.showSurface){for(this._shader.bind(),this._shader.uniforms=n,this._vao.bind(),this.showSurface&&this._vertexCount&&this._vao.draw(r.TRIANGLES,this._vertexCount),i=0;i<3;++i)this.surfaceProject[i]&&this.vertexCount&&(this._shader.uniforms.model=u.projections[i],this._shader.uniforms.clipBounds=u.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(u.showContour){var f=this._contourShader;n.kambient=1,n.kdiffuse=0,n.kspecular=0,n.opacity=1,f.bind(),f.uniforms=n;var h=this._contourVAO;for(h.bind(),i=0;i<3;++i)for(f.uniforms.permutation=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=u.projections[i],f.uniforms.clipBounds=u.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var g=0;g<this.contourLevels[o].length;++g)g===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==g&&g-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][g]&&(f.uniforms.height=this.contourLevels[o][g],h.draw(r.LINES,this._contourCounts[o][g],this._contourOffsets[o][g]))}for(h.unbind(),(h=this._dynamicVAO).bind(),i=0;i<3;++i)if(0!==this._dynamicCounts[i])for(f.uniforms.model=n.model,f.uniforms.clipBounds=n.clipBounds,f.uniforms.permutation=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=u.projections[o],f.uniforms.clipBounds=u.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return z.call(this,t,!1)},S.drawTransparent=function(t){return z.call(this,t,!0)};var D={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=D;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=O;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var c=0;c<this.contourLevels[a].length;++c)this._contourCounts[a][c]&&(s.uniforms.height=this.contourLevels[a][c],l.draw(e.LINES,this._contourCounts[a][c],this._contourOffsets[a][c]))}l.unbind()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var c=r.position;c[0]=c[1]=c[2]=0;for(var u=0;u<2;++u)for(var f=u?a:1-a,h=0;h<2;++h)for(var p=i+u,d=s+h,m=f*(h?l:1-l),v=0;v<3;++v)c[v]+=this._field[v].get(p,d)*m;for(var y=this._pickResult.level,x=0;x<3;++x)if(y[x]=g.le(this.contourLevels[x],c[x]),y[x]<0)this.contourLevels[x].length>0&&(y[x]=0);else if(y[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][y[x]],_=this.contourLevels[x][y[x]+1];Math.abs(b-c[x])>Math.abs(_-c[x])&&(y[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],v=0;v<3;++v)r.dataCoordinate[v]=this._field[v].get(r.index[0],r.index[1]);return r},S.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();c.assign(t.lo(1,1).hi(r[0],r[1]),e),c.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),c.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),c.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),c.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var c=l[o];for(v=0;v<2;++v)if(c.shape[v]!==a[v])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],c)}}else if(t.ticks){var u=t.ticks;if(!Array.isArray(u)||2!==u.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=u[o];if((Array.isArray(p)||p.length)&&(p=f(p)),p.shape[0]!==a[o])throw new Error(\"gl-surface: invalid tick length\");var d=f(p.data,a);d.stride[o]=p.stride[0],d.stride[1^o]=0,this.padField(this._field[o],d)}}else{for(o=0;o<2;++o){var g=[0,0];g[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],g,0)}this._field[0].set(0,0,0);for(var v=0;v<a[0];++v)this._field[0].set(v+1,0,v);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),v=0;v<a[1];++v)this._field[1].set(0,v+1,v);this._field[1].set(0,a[1]+1,a[1]-1)}var y=this._field,x=f(s.mallocFloat(3*y[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)m(x.pick(o),y[o],\"mirror\");var b=f(s.mallocFloat(3*y[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(v=0;v<a[1]+2;++v){var _=x.get(0,o,v,0),w=x.get(0,o,v,1),k=x.get(1,o,v,0),A=x.get(1,o,v,1),M=x.get(2,o,v,0),S=x.get(2,o,v,1),E=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,v,0,E*P),b.set(o,v,1,L*P),b.set(o,v,2,C*P)}s.free(x.data);var I=[1/0,1/0,1/0],O=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(v=0;v<a[1]-1;++v){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+v+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Y=o+T[q][0],W=v+T[q][1],X=this._field[0].get(Y+1,W+1),Z=this._field[1].get(Y+1,W+1);G=this._field[2].get(Y+1,W+1),E=b.get(Y+1,W+1,0),L=b.get(Y+1,W+1,1),C=b.get(Y+1,W+1,2),t.intensity&&(J=t.intensity.get(Y,W));var J=t.intensity?t.intensity.get(Y,W):G+this.objectOffset[2];N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=Z,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,I[0]=Math.min(I[0],X+this.objectOffset[0]),I[1]=Math.min(I[1],Z+this.objectOffset[1]),I[2]=Math.min(I[2],G+this.objectOffset[2]),z=Math.min(z,J),O[0]=Math.max(O[0],X+this.objectOffset[0]),O[1]=Math.max(O[1],Z+this.objectOffset[1]),O[2]=Math.max(O[2],G+this.objectOffset[2]),D=Math.max(D,J),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[I,O],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===z&&this.intensityBounds[1]===D||(r=!0),this.intensityBounds=[z,D]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(v=0;v<K[o].length;++v)K[o][v]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(v=0;v<K[o].length;++v)if(K[o][v]!==this.contourLevels[o][v]){r=!0;break t}}this.contourLevels=K}if(r){y=this._field,a=this.shape;for(var Q=[],$=0;$<3;++$){var tt=this.contourLevels[$],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[$],tt[o]);et.push(Q.length/5|0),U=0;t:for(v=0;v<it.cells.length;++v){var at=it.cells[v];for(q=0;q<2;++q){var ot=it.positions[at[q]],st=ot[0],lt=0|Math.floor(st),ct=st-lt,ut=ot[1],ft=0|Math.floor(ut),ht=ut-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var gt=($+dt+1)%3;for(V=0;V<2;++V){var mt=V?ct:1-ct;for(Y=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var vt=H?ht:1-ht;if(W=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[gt].get(Y,W):(this.intensity.get(Y,W)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var yt=mt*vt;nt[dt]+=yt*G}}}if(pt){if(q>0){for(var xt=0;xt<5;++xt)Q.pop();U-=1}continue t}Q.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[$]=et,this._contourCounts[$]=rt}var bt=s.mallocFloat(Q.length);for(o=0;o<Q.length;++o)bt[o]=Q[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,c=(o+2)%3,u=this._field[o],f=this._field[l],p=this._field[c],d=h(u,r[o]),g=d.cells,m=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<g.length;++e)for(var v=g[e],y=0;y<2;++y){var x=m[v[y]],b=+x[0],_=0|b,w=0|Math.min(_+1,i[0]),T=b-_,k=1-T,A=+x[1],M=0|A,S=0|Math.min(M+1,i[1]),E=A-M,L=1-E,C=k*L,P=k*E,I=T*L,O=T*E,z=C*f.get(_,M)+P*f.get(_,S)+I*f.get(w,M)+O*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+I*p.get(w,M)+O*p.get(w,S);if(isNaN(z)||isNaN(D)){y&&(n-=1);break}a[2*n+0]=z,a[2*n+1]=D,n+=1}this._dynamicCounts[o]=n-this._dynamicOffsets[o]}else this.dynamicLevel[o]=NaN,this._dynamicCounts[o]=0;this._dynamicBuffer.update(a.subarray(0,2*n)),s.freeFloat(a)}}},{\"./lib/shaders\":144,\"binary-search-bounds\":31,\"bit-twiddle\":32,colormap:53,\"gl-buffer\":78,\"gl-mat4/invert\":98,\"gl-mat4/multiply\":100,\"gl-texture2d\":146,\"gl-vao\":150,ndarray:259,\"ndarray-gradient\":252,\"ndarray-ops\":254,\"ndarray-pack\":255,\"surface-nets\":302,\"typedarray-pool\":308}],146:[function(t,e,r){\"use strict\";var n=t(\"ndarray\"),i=t(\"ndarray-ops\"),a=t(\"typedarray-pool\");e.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");o||c(t);if(\"number\"==typeof arguments[1])return v(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return v(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return y(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function c(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function u(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function g(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function m(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function v(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function y(t,e,r,n,i,a){var o=m(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new p(t,o,r,n,i,a)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=g(o,e.stride.slice()),c=0;\"float32\"===r?c=t.FLOAT:\"float64\"===r?(c=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?c=t.UNSIGNED_BYTE:(c=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var u,h,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}c!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(c=t.UNSIGNED_BYTE,l=!1);var v=e.size;if(l)u=0===e.offset&&e.data.length===v?e.data:e.data.subarray(e.offset,e.offset+v);else{var y=[o[2],o[2]*o[0],1];h=a.malloc(v,r);var x=n(h,o,y,0);\"float32\"!==r&&\"float64\"!==r||c!==t.UNSIGNED_BYTE?i.assign(x,e):f(x,e),u=h.subarray(0,v)}var b=m(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,c,u),l||a.free(h),new p(t,b,o[0],o[1],d,c)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var 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       "/*!\n",
       " * Determine if an object is a Buffer\n",
       " *\n",
       " * @author   Feross Aboukhadijeh <https://feross.org>\n",
       " * @license  MIT\n",
       " */\n",
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e=t.ua;if(e||\"undefined\"==typeof navigator||(e=navigator.userAgent),e&&e.headers&&\"string\"==typeof e.headers[\"user-agent\"]&&(e=e.headers[\"user-agent\"]),\"string\"!=typeof e)return!1;var r=t.tablet?i.test(e):n.test(e);return!r&&t.tablet&&t.featureDetect&&navigator&&navigator.maxTouchPoints>1&&-1!==e.indexOf(\"Macintosh\")&&-1!==e.indexOf(\"Safari\")&&(r=!0),r}},{}],239:[function(t,e,r){\"use strict\";e.exports=function(t){for(var e,r=t.length,n=0;n<r;n++)if(((e=t.charCodeAt(n))<9||e>13)&&32!==e&&133!==e&&160!==e&&5760!==e&&6158!==e&&(e<8192||e>8205)&&8232!==e&&8233!==e&&8239!==e&&8287!==e&&8288!==e&&12288!==e&&65279!==e)return!1;return!0}},{}],240:[function(t,e,r){e.exports=function(t,e,r){return t*(1-r)+e*r}},{}],241:[function(t,e,r){var 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i=this.computedMatrix,a=i[0],o=i[4],s=i[8],u=i[1],f=i[5],h=i[9],p=i[2],d=i[6],g=i[10],m=e*a+r*u,v=e*o+r*f,y=e*s+r*h,x=-(d*y-g*v),b=-(g*m-p*y),_=-(p*v-d*m),w=Math.sqrt(Math.max(0,1-Math.pow(x,2)-Math.pow(b,2)-Math.pow(_,2))),T=c(x,b,_,w);T>1e-6?(x/=T,b/=T,_/=T,w/=T):(x=b=_=0,w=1);var k=this.computedRotation,A=k[0],M=k[1],S=k[2],E=k[3],L=A*w+E*x+M*_-S*b,C=M*w+E*b+S*x-A*_,P=S*w+E*_+A*b-M*x,I=E*w-A*x-M*b-S*_;if(n){x=p,b=d,_=g;var O=Math.sin(n)/l(x,b,_);x*=O,b*=O,_*=O,I=I*(w=Math.cos(e))-(L=L*w+I*x+C*_-P*b)*x-(C=C*w+I*b+P*x-L*_)*b-(P=P*w+I*_+L*b-C*x)*_}var z=c(L,C,P,I);z>1e-6?(L/=z,C/=z,P/=z,I/=z):(L=C=P=0,I=1),this.rotation.set(t,L,C,P,I)},h.lookAt=function(t,e,r,n){this.recalcMatrix(t),r=r||this.computedCenter,e=e||this.computedEye,n=n||this.computedUp;var a=this.computedMatrix;i(a,e,r,n);var o=this.computedRotation;s(o,a[0],a[1],a[2],a[4],a[5],a[6],a[8],a[9],a[10]),u(o,o),this.rotation.set(t,o[0],o[1],o[2],o[3]);for(var l=0,c=0;c<3;++c)l+=Math.pow(r[c]-e[c],2);this.radius.set(t,.5*Math.log(Math.max(l,1e-6))),this.center.set(t,r[0],r[1],r[2])},h.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},h.setMatrix=function(t,e){var r=this.computedRotation;s(r,e[0],e[1],e[2],e[4],e[5],e[6],e[8],e[9],e[10]),u(r,r),this.rotation.set(t,r[0],r[1],r[2],r[3]);var n=this.computedMatrix;o(n,e);var i=n[15];if(Math.abs(i)>1e-6){var a=n[12]/i,l=n[13]/i,c=n[14]/i;this.recalcMatrix(t);var f=Math.exp(this.computedRadius[0]);this.center.set(t,a-n[2]*f,l-n[6]*f,c-n[10]*f),this.radius.idle(t)}else this.center.idle(t),this.radius.idle(t)},h.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},h.setDistanceLimits=function(t,e){t=t>0?Math.log(t):-1/0,e=e>0?Math.log(e):1/0,e=Math.max(e,t),this.radius.bounds[0][0]=t,this.radius.bounds[1][0]=e},h.getDistanceLimits=function(t){var e=this.radius.bounds;return t?(t[0]=Math.exp(e[0][0]),t[1]=Math.exp(e[1][0]),t):[Math.exp(e[0][0]),Math.exp(e[1][0])]},h.toJSON=function(){return this.recalcMatrix(this.lastT()),{center:this.computedCenter.slice(),rotation:this.computedRotation.slice(),distance:Math.log(this.computedRadius[0]),zoomMin:this.radius.bounds[0][0],zoomMax:this.radius.bounds[1][0]}},h.fromJSON=function(t){var e=this.lastT(),r=t.center;r&&this.center.set(e,r[0],r[1],r[2]);var n=t.rotation;n&&this.rotation.set(e,n[0],n[1],n[2],n[3]);var i=t.distance;i&&i>0&&this.radius.set(e,Math.log(i)),this.setDistanceLimits(t.zoomMin,t.zoomMax)}},{\"./lib/quatFromFrame\":262,\"filtered-vector\":68,\"gl-mat4/fromQuat\":95,\"gl-mat4/invert\":98,\"gl-mat4/lookAt\":99}],264:[function(t,e,r){\n",
       "/*!\n",
       " * pad-left <https://github.com/jonschlinkert/pad-left>\n",
       " *\n",
       " * Copyright (c) 2014-2015, Jon Schlinkert.\n",
       " * Licensed under the MIT license.\n",
       " */\n",
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o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),g=Math.max(h,p,d);h===g?(s=s<0?-1:1,l=f=0):d===g?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var m=c(s,l,f);s/=m,l/=m,f/=m}var v,y,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=c(x-=s*w,b-=l*w,_-=f*w),k=l*(_/=T)-f*(b/=T),A=f*(x/=T)-s*_,M=s*b-l*x,S=c(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,q,G,Y),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var E=e[1],L=e[5],C=e[9],P=E*x+L*b+C*_,I=E*k+L*A+C*M;v=R<0?-Math.PI/2:Math.PI/2,y=Math.atan2(I,P)}else{var O=e[2],z=e[6],D=e[10],R=O*s+z*l+D*f,F=O*x+z*b+D*_,B=O*k+z*A+D*M;v=Math.asin(u(R)),y=Math.atan2(B,F)}this.angle.jump(t,y,v),this.recalcMatrix(t);var N=e[2],j=e[6],U=e[10],V=this.computedMatrix;i(V,e);var H=V[15],q=V[12]/H,G=V[13]/H,Y=V[14]/H,W=Math.exp(this.computedRadius[0]);this.center.jump(t,q-N*W,G-j*W,Y-U*W)},p.lastT=function(){return Math.max(this.center.lastT(),this.up.lastT(),this.right.lastT(),this.radius.lastT(),this.angle.lastT())},p.idle=function(t){this.center.idle(t),this.up.idle(t),this.right.idle(t),this.radius.idle(t),this.angle.idle(t)},p.flush=function(t){this.center.flush(t),this.up.flush(t),this.right.flush(t),this.radius.flush(t),this.angle.flush(t)},p.setDistance=function(t,e){e>0&&this.radius.set(t,Math.log(e))},p.lookAt=function(t,e,r,n){this.recalcMatrix(t),e=e||this.computedEye,r=r||this.computedCenter;var i=(n=n||this.computedUp)[0],a=n[1],o=n[2],s=c(i,a,o);if(!(s<1e-6)){i/=s,a/=s,o/=s;var l=e[0]-r[0],f=e[1]-r[1],h=e[2]-r[2],p=c(l,f,h);if(!(p<1e-6)){l/=p,f/=p,h/=p;var d=this.computedRight,g=d[0],m=d[1],v=d[2],y=i*g+a*m+o*v,x=c(g-=y*i,m-=y*a,v-=y*o);if(!(x<.01&&(x=c(g=a*h-o*f,m=o*l-i*h,v=i*f-a*l))<1e-6)){g/=x,m/=x,v/=x,this.up.set(t,i,a,o),this.right.set(t,g,m,v),this.center.set(t,r[0],r[1],r[2]),this.radius.set(t,Math.log(p));var b=a*v-o*m,_=o*g-i*v,w=i*m-a*g,T=c(b,_,w),k=i*l+a*f+o*h,A=g*l+m*f+v*h,M=(b/=T)*l+(_/=T)*f+(w/=T)*h,S=Math.asin(u(k)),E=Math.atan2(M,A),L=this.angle._state,C=L[L.length-1],P=L[L.length-2];C%=2*Math.PI;var I=Math.abs(C+2*Math.PI-E),O=Math.abs(C-E),z=Math.abs(C-2*Math.PI-E);I<O&&(C+=2*Math.PI),z<O&&(C-=2*Math.PI),this.angle.jump(this.angle.lastT(),C,P),this.angle.set(t,E,S)}}}}},{\"filtered-vector\":68,\"gl-mat4/invert\":98,\"gl-mat4/rotate\":103,\"gl-vec3/cross\":157,\"gl-vec3/dot\":162,\"gl-vec3/normalize\":179}],306:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var i=t*e,a=n*t,o=a-(a-t),s=t-o,l=n*e,c=l-(l-e),u=e-c,f=s*u-(i-o*c-s*c-o*u);if(r)return r[0]=f,r[1]=i,r;return[f,i]};var n=+(Math.pow(2,27)+1)},{}],307:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){var n=t+e,i=n-t,a=e-i,o=t-(n-i);if(r)return r[0]=o+a,r[1]=n,r;return[o+a,n]}},{}],308:[function(t,e,r){(function(e){(function(){\"use strict\";var 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null},r.mallocArrayBuffer=p,r.mallocUint8=d,r.mallocUint16=g,r.mallocUint32=m,r.mallocInt8=v,r.mallocInt16=y,r.mallocInt32=x,r.mallocFloat32=r.mallocFloat=b,r.mallocFloat64=r.mallocDouble=_,r.mallocUint8Clamped=w,r.mallocBigUint64=T,r.mallocBigInt64=k,r.mallocDataView=A,r.mallocBuffer=M,r.clearCache=function(){for(var t=0;t<32;++t)c.UINT8[t].length=0,c.UINT16[t].length=0,c.UINT32[t].length=0,c.INT8[t].length=0,c.INT16[t].length=0,c.INT32[t].length=0,c.FLOAT[t].length=0,c.DOUBLE[t].length=0,c.BIGUINT64[t].length=0,c.BIGINT64[t].length=0,c.UINT8C[t].length=0,u[t].length=0,f[t].length=0}}).call(this)}).call(this,void 0!==n?n:\"undefined\"!=typeof self?self:\"undefined\"!=typeof window?window:{})},{\"bit-twiddle\":32,buffer:3,dup:65}],309:[function(t,e,r){\"use strict\";function n(t){this.roots=new Array(t),this.ranks=new Array(t);for(var e=0;e<t;++e)this.roots[e]=e,this.ranks[e]=0}e.exports=n;var i=n.prototype;Object.defineProperty(i,\"length\",{get:function(){return this.roots.length}}),i.makeSet=function(){var t=this.roots.length;return this.roots.push(t),this.ranks.push(0),t},i.find=function(t){for(var e=t,r=this.roots;r[t]!==t;)t=r[t];for(;r[e]!==t;){var n=r[e];r[e]=t,e=n}return t},i.link=function(t,e){var r=this.find(t),n=this.find(e);if(r!==n){var i=this.ranks,a=this.roots,o=i[r],s=i[n];o<s?a[r]=n:s<o?a[n]=r:(a[n]=r,++i[r])}}},{}],310:[function(t,e,r){\"use strict\";e.exports=function(t,e,r){return 0===t.length?t:e?(r||t.sort(e),function(t,e){for(var r=1,n=t.length,i=t[0],a=t[0],o=1;o<n;++o)if(a=i,e(i=t[o],a)){if(o===r){r++;continue}t[r++]=i}return t.length=r,t}(t,e)):(r||t.sort(),function(t){for(var e=1,r=t.length,n=t[0],i=t[0],a=1;a<r;++a,i=n)if(i=n,(n=t[a])!==i){if(a===e){e++;continue}t[e++]=n}return t.length=e,t}(t))}},{}],311:[function(t,e,r){\"use strict\";e.exports=function(t,e){\"object\"==typeof e&&null!==e||(e={});return n(t,e.canvas||i,e.context||a,e)};var n=t(\"./lib/vtext\"),i=null,a=null;\"undefined\"!=typeof 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n=t(\"surface-nets\"),i=t(\"ndarray\"),a=t(\"simplify-planar-graph\"),o=t(\"clean-pslg\"),s=t(\"cdt2d\"),l=t(\"planar-graph-to-polyline\");function c(t,e,r,n){for(var i=\"<\"+t+\">\",a=\"</\"+t+\">\",o=i.length,s=a.length,l=\"+\"===e[0]||\"-\"===e[0],c=0,u=-s;c>-1&&-1!==(c=r.indexOf(i,c))&&-1!==(u=r.indexOf(a,c+o))&&!(u<=c);){for(var f=c;f<u+s;++f)if(f<c+o||f>=u)n[f]=null,r=r.substr(0,f)+\" \"+r.substr(f+1);else if(null!==n[f]){var h=n[f].indexOf(e[0]);-1===h?n[f]+=e:l&&(n[f]=n[f].substr(0,h+1)+(1+parseInt(n[f][h+1]))+n[f].substr(h+2))}var p=c+o,d=r.substr(p,u-p).indexOf(i);c=-1!==d?d:u+s}return n}function u(t,e){var r=n(t,128);return e?a(r.cells,r.positions,.25):{edges:r.cells,positions:r.positions}}function f(t,e,r,n){var i=u(t,n),a=function(t,e,r){for(var n=e.textAlign||\"start\",i=e.textBaseline||\"alphabetic\",a=[1<<30,1<<30],o=[0,0],s=t.length,l=0;l<s;++l)for(var c=t[l],u=0;u<2;++u)a[u]=0|Math.min(a[u],c[u]),o[u]=0|Math.max(o[u],c[u]);var 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    "## Picking up the best model\n",
    "\n",
    "After running the hyperparameter optimization for a couple of hours on a GPU, we got:\n",
    "\n",
    "```\n",
    "Best value: 14.720555851487694, Best params: {'days_in': 14, 'days_out': 6, 'kernel_size': 19, 'num_filters': 19, 'weight_norm': True, 'dilation_base': 4, 'dropout': 0.07718156729165897, 'lr': 0.0008841998396117885, 'dayofweek': False}\n",
    "```\n",
    "\n",
    "We can now take these hyperparameters and train the \"best\" model again. This time, we will directly try to fit a probabilistic model (using a Gaussian likelihood). Note that this actually changes the loss, so we're hoping that our hyperparameters are not too sensitive in that regard."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6d2f8478",
   "metadata": {},
   "outputs": [],
   "source": [
    "best_model = build_fit_tcn_model(\n",
    "    in_len=14 * DAY_DURATION,\n",
    "    out_len=6 * DAY_DURATION,\n",
    "    kernel_size=19,\n",
    "    num_filters=19,\n",
    "    weight_norm=True,\n",
    "    dilation_base=4,\n",
    "    dropout=0.0772,\n",
    "    lr=0.0008842,\n",
    "    likelihood=GaussianLikelihood(),\n",
    "    include_dayofweek=False,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bea6abdb",
   "metadata": {},
   "source": [
    "Let's now look at the accuracy of stochastic forecasts, with 100 samples:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "e3a4b093",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "76280132d410437b9b139a510b6bf0e0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Predicting: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best model, probabilistic sMAPE: 15.21 +- 19.76\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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S42dwcBCtra1IJpNYu3YtXn75ZeRyOSxcuBBbtmyx0hqp0orrH25Ea3IA11zNvztt2jSsWL0CF+QvwBNPPAFN0wAA/f39GDduHKLRKF544QVs27YNANDzci9Aga5F3WAFBvIWCTm9RX5GiBAhQoxcMI3a6UTDFK5hLseHMX68fGe+2MlgXCo6tSENNowEhcQIjBzlDppwBpnGPKX7lSjhK+kdOaS3Bpe/DgIlqYAZB1/ekp7WofVpB9qMED7B70PR8P0AR85oxoDWp/HIgj48svZMRMP0QR3agI58VwE9S3otQSAHOWMAzVPoKR2sQJHbVXtxEK1bc0yMTGdgOgAGDLw5gEKvM8oyuCZlRdYYRo6AUWpjCoNrBkGN4WOLuT159K3oL78RA2iBFw+WGz9nnnkmdF3H7Nmz8c1vfhMnnXQSxo4di7vvvhsf+9jHcOyxx+KTn/wklq4FMOqD6N3yuCUI8oUvfAFLli/GqZ84FS/+/SXU19cDAD772c+ivb0dc+fOxX333YcjjzySm6SbzxXxnHmL1KD5ipy1tbVdD+AUAFsBXNLe3q6J9+sA/BlAEwAdwGfa29v3Do+pIUKECHEQggBUEw8zc/V4GJ4fcs0ZE1L5tEDBCqK+RMrfB+MPs/ze3PCuDjP+22mO8pVoBu5geDxAiUrAChRGnoIWaucUpTamUTc54RAhIQq4DT4Osz9rc4ZCan0a2oCGsWeMOdCmvG2R2ZZBfFwcA28MoOmYJqiJEuI2DAAFOp/vQqQhArqfRTjcoDqfD/J7c6DDFBVKrU8htzcPNaaAGgz1M+qFuAaK7zXKQPMUTGdQosqwkMXBdSkQascgmM5ADb5Qlu8ugFEgtSaFUafwaBQTvdgsOf2Rwc3ANJEWOwznSE/rYAZDoacArWuIlECDoeeVXiix8tcrHo/j6aef9vzsnHPOsf5+5hUGJGcCxy/HcinC9/Qvn0ZsbBxan4affPcnAIAxY8ZgyZIlRfvbt74THYs7kNuXt4Vc3gIYMnLW1tZ2LIDJ7e3tpwFYC+B86eNzALzZ3t5+BoDfA/jv4TAyRIgQIUYqGGMw8qU9HULMyBkDNYZPpcxZbM8f5rRAeTqVxyGZwVeuh3V1WJBES5qaMTCJeGkDuiPdq9BVEA5b7TzH3O4cCt0FpNankNqYtuwihF8LI1u6Ni+3K4fu//TUzJZqQVQCFgqZHFBktmeR35eHkaNlxw7A54ZCTwHaoHbAHUdGGYy0DiNj2CnGNUa+WwMtMDACy3lnOq81M6OIlj2Mpw4ynS8cUZFOWEswnTpIaGp9GjAY9H4NMBiMjAHqjmgaUj3eMFyucs+KUqB5M/OitrYwxtC3rB/9KwZACGAUSttmZlgwg0k1edWh1DqF+Tvd90v3v3uKxoi52McK1KptfivAT1rjKQCeFX8/A+BU6bONAOrF360AumpnWoi3EtavX48NGzYcaDNChKg58nvy6H21t+TnnJQJgjKMqXQObkZ5KhUnZ6xY+EIQJaoP7+owE7UmtECt1XMq9XvrW9aH3K4csjuzSG/KwCiImpAaEhDzAZ/bk+e1fwB3vghBdlcOvUv7+FsFiuyOrOO7etoYUSuxRCXDIiyhp3Xo6dIF/iFsmM3khyQSgvxDUkestXPtaVspUMDIUBhZCuh0WIQTaEYHMyivbxX3DdWpdxN6sWBD8xREJSj0azUXBKI6QKX7VxvQQHUeUTNbm8j3NyGwF9AMl4BJTeyh6H6pG9pAsNRkWqDWnF1LMJ1xUqOLZ5RWvIDQ83IPcnvyPNuCwdrGJNuF7srHUakMRMbEM8LVG9RUcXRAZ3Z2ivbW6U3nh5y1AhgQf/cDkKsRNwA4qq2tbRWALwJ4sLbmhXgrgFKKWbNmYebMmQfalBAhao6hVsTNFBmao0IUZJjscLAz4aiZ6ogeD3VrBZSh5g/9gVWDQgiA25DdngPLUyud0oSRNaDEFGS3Z0F1CkXlq7c1JURC98OhUEnBHTOdwchRpLdkUOguFNe6seFJJcrtyonajaBgNY0qmuhfMYDe9r6y2+R255DZNry1gAcFzPEw1BgVaY2Wo+/RiLla9K8YQLbDXlDoXtwDbYBHxwbeHHBuzHhKH0+xBrLDcC0pheUsW/OczmwZfXEf9iztFeeHL9wQlYDmeP1ZLcF06mhCzTS+QMYMZvWClO9vJmwy54xaL1wZaQO5znzZulE5skYLFKn1KRg5atUQ13Kuzu8r8HRbkTLJdIbu//Q4lBiNHOWRRvP44j9qMOgDOvrfGChzhPLwImfZHVmLzBeJubietebCJ8B7aBpmpshbAGSoC93W1nY5gFR7e/t9bW1txwO4uL29/Qrx2RcBTGhvb7+2ra3tfAAntLe3X+P6/qUALgWAK6644vj3vve9w/E7DjosWbIEDz30EH74wx+iubn5QJszJDRNQzQarfi7Zm+LnTt31tKsEYNqzk+IgxtUo6A5ikijdwmvkTVgpA2eShclUOtUKPHidbFKx9Ahn54IALjs3BS+d+Eg31e/DqICalyFntIRbY46luK0fuEciPo3JabUtDG0ntL5/hi4+IfCIw1KlKskRhpUKFEFWr8GNaEKwRB+LonKa8GirbW5n/RBHUpcAc1TgACPvdaIlRtVfPe8HqgJxarHU+MqjJzhuI40R0ELFJGm2gob6ykdSkyBEvNeHy1Vm2TkDNAcRbTF+9xUOoaMNE8pK/c7jYzYxjXOaZ5CiSpvG3kxfUCHklBAcxRqveqs5ZTAdCbqeXiNI6NAtCVS05ozfVAHiRDr3tUHdahJlUfJ8gYiDfa10vo0a0ECAJSo4nm9q3mW6f06GLNryJQ6BUaa26EP6og0caVImqeWkw9CLIU9opKS82gl0Po03LegHt9/hPdV3HLnDoAykIg5HymOcW9kDBGBoSARfp1K3WuVgBkMWp+GSH0ESsL7htFTOiL1EXvxyFKP5HZHm6I1q1nWB3U+1xACohIYeQpFPKPM368P6PzeZibh5tsznUFJKGC6mBMkm/yOoUVvxPDpn/Jrs/NPuwHw5yXNU17XJo6hxBTrWRJpiNhzDePXWIkrMDI8LK3WqVDra/csG05Mnjy55JX0cxcsBvB1APcBOBvAf6TPCOxUxi4ARSyjvb39bgB3i5cjJz/kAOOCCy4AAEydOhU333zzAbZmaHR0dGDy5MkVfdeUQgWAiRMnQlFGzlNc13UUCgUkk9XJdldzfkIc3MjuzGJwZwoNR9QjeWjxOOKpe3nkuwqItkQQbYli7JnFgg6VjyG+Ulhf34AJo3iWeefrnYg0RtFwRD26VnVj/AfH8we+wJ5le6yeY0qUIDktiabDmyo4tjc6X+xCy/xm0CxF5+IuqEkVRo4iPiaK7I4sRr9rNOJj4tjzyl40HNGAQlceVGModBag1PGH8sSPTixJXoJg3/OdaJjZgNTOFJQowdfubAEAnBvL4Z3zFdCsgUhLBI0zGzC4aRBjzxprfXdwbQqZbRmMf/+4qu2Q0fliF+pn1CM5ua7os9zuHFKb056NugdWDyK1LoXRp49GbHS0qD1CpWOof0U/sjuyiDRHkZiYQMPh9cXbLO9Hbl8B49831vF+54tdaDiiAXWTE4GPezBi75v70HRUIwa2DaL1HS2IjfKWf8/tyaN3ea+1UKFnDYz/0AREa0j0Oxd0IjYmjmZx7+59dh9GvaMVetpAamvKMc/sat8DMAa9T4ORZ6if3YAxs4vHWDXPsj2v74WRM6A3xRDVKVrmNKJ3dS9GnTIK3au6Mf6ccSh0FjC4cRBU45EXZjDExsZBCwYi9ZGa3WvMYNj1yh5gqz2HxDfEoacNxMbEoPUU0HB4PfLdBYw+dRQiDRH0vd6PXEcWuT15xMbEQAjBxA9PKHOUYMh3FbDnX3vQNL8JzYfZ7rI2oFukqPPFLow6sRVqnYp8VwF9a/pgZHTogwaiLVGMP2dcTeZFANj7bCeMND92bHQMqQ1pJCYl0DyvGfExfFzvWbnXJv/9PKKmJBTkOwuomxiHNqhj3HvGOhYC/I6hsXvs8KS5fd+yPqQ3pVE/swG5XTk0HdWI5OQkjIyBzuWdGHXKKCgxhYvsFCh2L9mN5LR6ZLZnEUmqUBtUz7nzYMOQV7i9vX05gL1tbW2LABwN4NG2tra7xMcPAvhgW1vbiwB+BGDks4wRhr173/rillSSkZP/Hgk4++yzUV9fj97e0jVDIUKUhahbSG/JoNBTQNeibuuj9KY0cnvzfBWSiRTIYRJ0oAzof70ffcv6JAlvkU7lOqRZC2YqktVcG4AB6U0ZXmsm0mEU8eymun1spjNo/RpPrdEolITCV2rpEPUzQUBhCRKA2WQmaxCwvOGohSmqCWLDJOJgMOR25WB4NApnZpqRB8x0n4E3BzzbEVQKJaHw+jqdRzW8NyKeKZVsBPaLM/tVDQfM8VBKzS+zLYOBNYN2jZApjmGqtdbSFqGAWugpwMgZtigCPNJxhUiQElc5kR6GcU01inQOmPbjUTjznhYwUSMkC3NQjacSm3V4PFoO3qi6him7jDLATK027RPnh+lUiCHx7fqW9SO/V6QbmpvTYZgXRUTcyNm/M9/Ja5b72vv4eJHHlRVllObMGl43plF7/4YQSXKPG8NOe6QiHZRRBpan0FOGpbhZCbzCRoap7EvhEHPhqahAeksGXQv5M9as42SU32ck+tYRTPK1hNPe3n6V663LxPv9AN5fa6PeTnCvfL4VIafOjjRytmDBAgDA888/b0UzQ4QICqbxvjhGljtIAE+RyezIwkgZiI6KgtcLsWHLiWdCbIO/gIN4FdW5mURRCIfU3AuhDLmdWShxRTxAKYiq2HUTwhng/4midIOnWtXP4KvZtRK+YODEGS6FOkKK6zvcaf61UiUrsolCOIM61Al8VTq9OQ2qUahx1e7dI+yxnhPCHlpgNW03ACoU4TS75QIzeD86K61LsVPish1ZGGkDDTMbeErqCILWpyG7I4tCnzY8K+iS1LpM1PpXDKBlfjOyO7OgeYpCF5dqJ5Ac61qrEQoC2L9yAPFxcVCdIbc7j0JPwVmvw5ggP9yJVRKKPVfUyhaxyLG2k7uVG7oj0FM53mxaiEjQPEW+kytdKlECUKDxqEZeb2bwhZva2QOQiIKolCZp5IWwhsZ4fVKe1wHTAsXguhQ/R+Y1Y8xRr1a1PYxxaX+VWP3dSFSB1qfzBaqYwu9DaZwMrk+B5g17LpeVJGtjFK/7FendIMRREwzw88h0BqbAJmpxhvj4OPKdeZ5+6DFH3nbbbbjjjjswf/58PPDAA56H93J/WUGIk5i/V2xkPkeMjCFq8Bi0Ph28XQsFAUBKLCA9/vjjmDlzJo466qjAp+hAYeTkl71N8XYgZyM5cmZi9+7dB9qEEAcxzP45gO3w96/oh5HSedpIRLELqocxcmaJX1jkC/ZKuoBZjG5ICoq1DnwwgztkENLGzBCHEAX3zKDCERKEVWeigSivOzEd2pqAAlqvVrQ/wsBlv3XuAGS2Zy2niDtrgzV3YE2YEQPZWc/vyyO3O29HNAH0LetHen3a8T1GAVawFwFqY49YmTao5TC5m9ISieTn9+SRFcqXrMAdx77X+w84UWOMoe+1Pmj9+rD0zQLsaJXcu8vIGZaYhZHhCw1G2uDjn4iohEJQ6NUwUIWAQrExvCaIFRhoxgDTKB/rmlNUhwln13T8CeHS9bVU6DSJO5UWONKb07yezCSyVERrclREprgtZnSR6TUUAzL3I7d3NEWJDAZFIVbkxbwXzfmSCbXJmhJqk2woAM0a6FvWj95Xe0F1Cq1X5/WkQjnRXJTR+zXe99Gcy2scOSMRhSv2CgIGhfBFH1kkhYJfF51J8xagNqiSSEfxvn/961/jueeeK0nMAImcMXsc0rwB6AyEOfdrZp0YGcMS2EltSAkRF7G+qIjnjguPP/44Vq9eHfDsHFiE5OwAYyTVXw0X5NVowxhmLWGf2LRpE4477jjr9YEiZ7fddhtOPvlkpFKpA3L8ELUAsWSI83sLVu8wohBkd/FVYqISRJuj3DHRh6e3mJWqKNQZeboHtdXHBPpXDnBHLUutQvxam8MgVNF0Zjk5RBwn0hQB04WjYj70NWo5+dZvqVXkjIk0poLzPPCea4ZYKWd2k3AA2Y4cMtuyfBV2GHx8k5Q6HD9RZM97P3GvRE/pjvRFnhIqSGUNyQdj4twIB0286ehJx7cxHV5iS6ELp1Yf1LnTfQDR9VI39JRhRYpqDatXXwk1OUAIBOUNaL2aZYOZdpXfk0ehjFJfYHvMFD2DQkvpoGLX1CWJzgqCBGmUR0YUThj7lvWX2HMFtlh9zaT3ChRENKQGA1Ib0nzsCvJophETQuyFmhotOlipbtJ7VNzPTCwEMXOBRMjmm+eTmGqTDLVLj2Xg0vCqAi1lWCmFWo/GBTVUxSIe5v1tZMW8aPAVNHuxrUYmGQzRxojoOcdAFL4wlZebUVPGCY8gRLTAQPOGJd7ilV3wzW9+E5s3b8Y555yDm266CR/5yEdwzDHH4KSTTsLKlSsBANdeey1++r3PAStOA9Z9Dp2dnfj4xz+O913xPnzo2g/i5eUvA5QhlU7h4osvxvx3zsd7r34P/v7iE2AGw5e+9CW85/Nn4ayr343r7r0OROELID/+7Y9w1FFH4ZhjjsGVV16JxYsX44knnsBVV12FefPmYdOmTTU7f8OJ2kpQhQiMtxs5GymRs8svvxzLly+3XqfTte2v4hdf/epXAQD33HMPvva1rx0QG0JUhnxnXqw4coeHKSryXXkwjSKzOYNCn4bktCQiSZ62Fh8fR6FXgypWG0m0tlHzfA/3zJjoa8ZXO/ln8gPddH6UCLGV5mqcvmOlLurMlqcWByJCudFaqdYpqMZ7bSmi8JxIqnJVQ9hi5HVEGlXH+4bGoKrUXpUWflhmW4Yrz5VYFa6NTcWOqNkLj1EuRlKUwkTtnlE1JdRmPZAhhVEZd2azHTnERkUBw/6IKLAJtkGR3pIWveNqaFNAUI2KNCfu1A5LUgozo4xw1JDlduUtJT6mMxhpg6daMYWrM1LRS6pglO68GxDZjiwnDyIaVOgs8HmIsaLUtN7X+rgKnkSc+IJSDQe3GBtyU2eqA2qEkyDe45BaNY2MSsqfZk+reA3ve/HTiORiJSYkoPUW+CIH47Yyg4LqClQR2aIaLNl/EJ5+zAzGFW+rgNXvkjIufkhhKQxGGlTQPFeGpQbD4GouNkNUYkVezbmyb2kfRp08iqtyVglmMCQmJpDv4mnkRCEw8gavg3vNQMtxzWIRiwHETFHnNYOEENRNrkN+X75ojrzuuuuwaNEivPDCC/jBD36A4447Do8//jgWLFiAz33uc5bvtW3zamDOQkCtw1e/eiH+93/+FzM6D8OWjVtxyY8vwgs3vIjrbv0Zmpub0f7Ca9j37D6kkAKJKPjhd34IXECQ3p3BhTd9Bmvmn4Opsal4+uWnsWHHBiiKgr6+PrS0tOC8887DBz/4QZx//vlVn7P9hZCcHWC8HcjZSExrzGadzWZV9cBKr8qKliEODgysHACJKVAiiihgZmK1HMjsyIIVKNR65xTLe+yImqIad17QBw0YKR1QCWBQMKJ4Rs54zRtDcnoShe6C7YjUCmJ/piNiSombnxGV8NQYCrseRaNIjIuL2jxYxKBW9jAKTpKlaFOsOYL4WEDvK9gpTIL4GFkDhmj86r6GNTHJTJ+SnWNBSM0IX25PjtslLo5ZowYzMlrLFEJq13jIQ4EVGFIbU0hOqQMVNXv8P5OEC8cxzw4oMQNEzVzBACIK/7dGinYyeM8yWwZeG9ARadKR7eC9mfpXDljjh58PCqVOtbY3shRqXW3s6n+9n0c0CLFaVPAeZlw4gSiwai31lA6ap4i1RkEiRPT3ojWu8RJjIGr/PlYwgIRInWMMkCNjFEhOF2qlZqTKT3PvIdD97x60tDWjf8UAwJhjWCoJXvcKEUEzxTBAzIUicV+ZtWdERNF3ZjH2jGKF3SDg6chiPiaEn440r/fii2T29TOyhlUfGG2NwshR0AFNCCjp0AZ03+TsqdH/rMruUjjxbyfw3wWUjVL/+9//xqOPPgoAePe7343u7m4MDPDU3lPP+BDWr+Jj4Pnnn8fqN1dDG+S/czCXQjqbxgv/fgEP3P+glULZVN8EI2fgjz+/Hw/884/Q8hr2DXRiQ8cGzDl2DuLROP77kv/Gh877ED74wQ8Oy2/fHwjJ2X7G6tWrccstt1iv3w41ZyMxcubGgSZnIQ4+6CkDkWYCRsxaCQIlQriqncZXSSOuHkjJ6fXW6nqtQYWzbNZ4ERVg8iowYK+CilVhOUpSM5iRMkt1UDg+4jMSJVbPLJOgcCdTmg8VlFYNDGqOUGuMNEccaXdqQkV8jIKCSOEx0wy5c82FAphKQHXepDraFEFstLdsenCjBBGT6iPM3kEmYeOr1bCuzcCqAStiZkVvagRLsELj1w3g5JhqFNAZsh053stMiigwylDo4qvmVLf70w0HGGPQejTH+S/0FBwy9lSjPBKqMDDqbC5cM1Dz3PPFhcz2DApdIpVZjGVmMChxBXrGgAIhUmDw/ktG1vDscRgUjJmpb0JIJ6LCbK7MCmZKI0FmM88IMVI61IYI4uPj/PtWZLu2dYtgQGycfU2MPEMEdgSdGrzWlW8vjX1R/1WqZigIqMFr2qhuEi/7MyKIo5WCmhd1t6YABbVrgnk9nCJSMKsyCWKHgqTar42MDtYc4aIaJlnUmei3xifN+Dh+zbS+CLK7c/z94VCQrRCmeEolqEvaLTsopfjHzU8C3QTRpggiTRHkRIP1wTWDKCgFSzxq++5tuOORX+OZW59BslCPq+67Enkjj0gkgievfwpvxt7AY39/DL/61a8s0beDDSE5289oa2tzRG3eDuTMK3LGGIOmaYjFauTsVImQnIUIAp7+wh14RGDXVhECQrizKivfmYgkVWi9BfQt76+5khw1JYWF8w7YKYzms1Mf1Lkjbc47YqWa1dCrtiIqZhqPWVciPlOivLeYKRZiCCdTBlEJ9EyNyJmICBFR5G8dg3CHLKcxJA3pGoqgh6HyiKhCgeyOLLIAxpxem2tm2iQrdzI5esW4QAqJKNa1NISynMmpWQ0XuszUU2owUHG99BS/RlRnUFQGClGvI84hzVHk9xUcDu1wkTOtT0P/GwOOvl39bwxg1Dt4P6jc7hwKvRqPTMT4Oaul0p4JI2fWLIkIYoHCAG8MTlQRLdYZkocmkdmegZ42eH0XZYiPi6PQW6iJo8/VOkX0R6MAU63xSwsGWJ6CJBQU+nWodQr0lIGGIxrsHSiw1DiNrFGbBvSWg27PeQ0z61HoKsAQwiNMp4BGeZ+xfmfYzrxHq164MviYZQURiZLsIRHFEiIBA3J5hihhgEFgthqgOuUCTpQ3fTZE8/qqIcRQzMUyk0DTAhXnn//NCRxFriMH+YaKtkRR6Cnw3xTgFH2g+2zP9xll2P34HsTHxZHflwcIEBsV4+I2/Rqg8IbXekpHbEyMCyZpFPUz6h3PNT5nlT7+aaedhgceeADf+9738OKLL2LMmDFoamoq2u5973sf7n74blxy4n8j2hzByjUrcETDTLzrlHfh3r/ci+uOuA6x0TFk67LI7ssiWZdEfbQRe/fuwYLXFuDU+e9EKpPCQHoQ73v3+3D6u0/HjBkzAACNjY0YHBz0f9JGAN76OXUjCN/4xjeK0uneDmmNXoIgZ599Nurq6qzw9v6GmxQPh0BDEBzo44cIBjNNibpEESzHokxhu5HhcsC1vubUKrK3U97MWg+TlPS91g+aF1SMcGeFaQxGDXtmWX3TqLlCzcRv5TaQKOH1L8I2plHERsUcNR0kQkA9eoBVbJLB7NQp8xgE+PQf6jH7T1PQmzb793AH0qAM838/Hmc9PMaysaZphKKtgiOtUSJI/Jji3JlCC0JimheswCG8UDVE1IMVKGhWR/eSHqQ3pgEIaW1zTAmnlgC8rkshNqkr1LgOTjYvX9w6wHS+AWBwXQrZHVl+/5liIMMQXehf0S9Scfk5MQp8YYPLncNqCQEAyalJwGDc8TZEjal0L1YFMd/I550WqEUmjJzB0+b6NRhpA2rSuQ5PxKIMzdHa9csr5mZQogpP08tLpJYCSkJ1zn8KEG2J8W2M6u4zs9aVmves9KznGcH8nvr92gYcfvdE/GtLzFKJNHIU9YfXIz4hDlChZpijNVHYZYzXs6l1iiWoE22NguZ51JkoAM0ZiNSp0FM6MjuyKGKFhPDofw1uNFnF18xqgAJE6iOgOl8MMhePiCLmAY9LQwiQ2ZpBTqi3unHttdfitddewzHHHINvfvOb+MMf/mB/V9rutttuw/I1r+MDP3o/TrvsNPz+8d+DUeCqS69CX38vTv3kKXjP19+Dfy9bhPknHo+5h83FGV85DV+9+3/QNusEEAVIZVK46Gefw/GnHY93vvOduPnmmwEAn/rUp3DDDTfguOOOCwVBQhTDHCgy3m7kzIycPffccwCA//znPzjnnHP2u01uckYpxUMPPYT58+dj5syZ+92eEAcXLFU9s6jelFwWYQ1GScm0PGYw6AM6jIyBSA3rmQwhXc8oLGfCLM4v9GgYeHMAVOP1J7FIBIRwQRBqMOgZo2Yr6FTUVTAmlM6oWXNGhMNDeHqTUEFjBpCYmHDsw+wFVA1MJ4wTHO5gUDlyBuD59ZwQ/ntLFGdP0ix7ujMq+vIK+vKKRb5rneWQnFEPPWUg31WA3q9ZETNLPEGjUOIKaI4X6NOCmaNFrJqvWoFRHuWlBV7TYjXmjhBQnYEYADF9QsF/TDEDAKIOi9TEaQS4YygL1tC8AZa3j8cdXWqTW0Kg9WpQ6yOcgFMGueF4rWBGzGiB32dGSkckqcLIGCBRBYw5+yw1zeERgqa5IlIgRR6rsoOJuUaniDZHAAbUH14PGEBudw5KghNCmqPQDA2NRzYW78NgvM/WoG6lzlVlE5UcfYetnMhbrUTM0+OIYhPUTU4I8Y3q7TDrtohCwCIuciYaHP9gaSsA4AdLWvCuCbs52c8ZUOMqX8CiDGpSQX5vDtHWGHJ78khMqOI8UV7zlhgXR6Gbi5IoUQItTQGhNGgu6DXMakBuRxZRVxp13SEJ5HblapNmSWFFFQnjC3bmHGeq29J6yXfTGee5bpdVNNXW+nUkJtpvb9261fr78ccfLzr8tddeiyVvMty+lB9j9OjRuONrdyI+Lg6m82ekNqgjGa/HLVfcimhrFHq/bqU23/K/t0Lr00ALDGpSRd2UBAghePKGpxFtiaB5bhOIuPannnpqKKUfIhjeDuSsnCDISIkYPf300/j0pz+NWbNmHWhTQoxw6GldRFkYoPNV4WhzlK9cK6bzzByqZTKUKOEr27WuOxO1LRA1QFwqmgEKQaGnAG2AN+yMtUYtIQASIWAFCr1fr7rWw0Tfsn5LOELv1xFtjXLHEeCemqijMkT9l5cAQC3IWa4jh54lvbZDrMBK2QOcvjvVJceRMhCH5j7A8jVuf0ABNa7ASOnI7cwiszVjSfmbkU0rOqszZHfmeONVnZMoplOrNqwmYAyJQxLc+aSiRxdgRzt0KsmQM04mhUopb/wqaoVqZFLvq71IbUij5+VeZDtyVpTa/ryPN/LN8IFMhOgFUSD1g6qNLSa0AY3fTwZvpqzWcVLGU9FgRazL3ddO5dIqwABF5eMWghMTlXAyX6BITqnjqZQT4s50RnkXBh+Den9txKiMtCEc/OLPaI5H9cyazkiDilirR0mDAkeqbyWwakc1PqYdKXgA1ISC2Fj72AQMkYYIjIzhrCllgBJR+MIRYxhcV11aHJPFSUSzZL4gQq1ebzwNU5DVqcmixTslqkCtU5HZlqlaMIlR2x4z08H6TDfnaTsarogUa/ciFSEAzRqgueDZIPKuzOcAIYSnvhdEWrVQseRtCIjjy8xqbm5YdhGVRxcHVg+id2lfIHtGEt76zGA/YevWrTj11FPx9NNPB/re26HmrJwgyIEiZ+7zfqBXVUYCSe3r68MZZ5yB+++//0CbMqLR+2ofrwcQDiPNUSutSK1TYdZ8Nc72doqS05Nihb/G1zyqWCqADYc3AAzQM7rVu4ZRQM8YUOtVa3WfqLAU+molq20qkhGxUk5U/rDlH/J7z3ygx8bEEG0plq2sBTnTB3VuC+NOACEEuuTgG1RaUaf8GqoJHilyeg1mVLIqc+zdCeLKo5bg/alErRLvYWanD5oF8CYxoKIXEdOZFQWsyThifOVeiStWryeTZBh5apESMCHLXqBQEypPV1PAlRxr2L/PbDNQ6MrzdEWRdml+VugugOm8ZQUAqI0RLg4i+mVZdUU1RF97H280LyLCROXRKrM5ryWoUuZ6mPWYWrWEiAFQCZjBHXxGmRUJb5zNo2RcDIMU1b1auxCRMz1Vm/Th9NYMaEYvDp6KHmJqUgUYQ3xsDEpUQWJSongnhMBIG9AGKj8/JklWEkJJV7KHMqD+sHokJjiPzckAdaRWm+Q+0hBx1lVWbJh8PD6/qUnVmv/M1MEhPUKh6motoFQKmYxROKLeVGPW7zbfT06v8xzbSlxBoZsv/mlV9PAzx6sJQ/R601OGaIXirP3jtd3M6gtnva/y+9NKnT9IEZKzGuErX/kKFi9ejA984AOBvvdWJ2eUUrz55puO136wbt069PT01DQ/mDGGVatWQdf1sud9pCpKDjduvvlmLFy4EJ/73OcOtCkjFozxtC89rVur80aWk5HGIxsRGx3jTmGZNDiiEIdQYjWQ0/QYYEnBkyhfkdX7dUTqhViAiMyYfcYAsRqqM6jx6smQCUPU3dj9zvixBvME23oUnmpC+MM20hBB3eQECjqwYZ/9OOIpPtU5H0aO9wxiABqO5ETZcJ0vC0KxDeCRRIeHxBiPnNWKTDN73ucklavsUakux1IFFA1ge/qAXQNcOQ6Ep6LC4PL63f/pqd4kCjNj0lbyowzxcTEwUXvCBGekOcrPkWiJAINHkJWEWjMCa/WB05hoCEytC0YLXI2PiQhf34p+FHo0OyXX7ANHga5F3TUySESGxEq91svTqXjtlnliuG3xCR6kQ/5djEvuVwMmxlDdIXWWLL7bq+dqg6X3EalXEWlUuXpshWM7k2PYuFMsEohUbyqFpBlz/UeB+NjSqYGEAIXuQsXNsa0G4RKRkn+a188kEKnWmvMcMherqzbTQT7HSlyxajYtoqjwubMUmbbsVUhNSIeVGgsuVCWT9OTUOsTHxaxaVIA/K7yisJGGCCIicyRoSqpjDUx3tj0w6ze1Hr4QU+jVHEqnkeYIkofWofHoRjQcbqs+EoXAyFLQrBB2OUhx8Fo+wpBKpSr63ls9rfGaa67BWWedZb02BUFMeK1uPvfcczjyyCMxevRoHH744TWLav3mN7/BnDlzhiQfX//612tyvIMNmUzmQJsw4kFzFDRn8AbFDCLFiUeAzIeqElMsdbJyqEXa1dV3SCuGUUUQMFOa2nS6xcPcJI2ijgjgEaqmOU1gjJRMwwwKJupxos1RRxPnefeMxUn3jsHuQWJFGiHO2afvq8fJtzThqdURyy4zIlEpjIxhORYmGdI12XGUI2ewnK/c3rxTRdFAbeWrXdl/vHeWqJERAgoQIipMCMscedMonPLXSUjluMw0RPNcI2tU3RfKsoEQWyhC1L4QQvgKupmyyLjMt1Hgjr/Wo8HIcyJFFBRHTSq2h4sjMCFyI4QibcIvUiyNHIXWVQAkR9PRoqFWCw4ZA3ra4PujgqAKcRamg78nroNXJNj6XYZzwaJiiBMdbY7a6cxun36IYySnJaHEFOgDOvL7ChWZMfcihiM+w7B8gyBEjHmTITMCM8TPJioXmGGFCs+PiDbLkvWyy+91CyuEk7NoU9RJjKShQzXU4JpJx4wqUGLE4YETQkDzDIqP/nyshNhUIEi7iDRHHJHMSGPEEnNx2F2iDQQhtkhOEMjzhaExJzk2xbYKFJHGCGKtMagJuybanJvMiL/jp+V45OxgZjgHsekjC5VKsb/VI2c33nij47WftMaHH37Y8fqll16qiS133nknAOBPf/pT2e1uvfXWmhxvOPGvf/0L3//+92sa5TsYx2IqlcLVV1+N5cuX75fjmWTBEkNgzEoBMREbFUNyer3X152ogbN/k3SrMBArcmbaxhjjzpsgTIxxx8Ad4TBTH6sFo0zUJjHUHVLHHVZhT07n42vNPnGuhEMPAC9t5A7tI6/bNR8M1clqm1Ljcv2YLu1P9iOo6VwzBq2n4DgXNG9YaaG1AK89EdEGiGinwV8ZOQN6VpBKEQGQSfOeFEGkMYLk9KTdJ60W/bxMv0jIvhs5ajmJ8Qlx/r4QDaB5g69q6wxav4a6KQkhmIIasjOhFidq2ZjB922kDOQ6crzWShzKKAgCpwgxA6vuktWMnGkDOvQUb0zOGEN0VBTxMTFeJ2QwxMfHYYiU4bIwI7TV3vuSz0xEtLNo/vZxDEII1KQKI1eZYuPmXfzfZ5cCVPR+k8UWqRjHZqr3kPeQSFWjFSo2mkS+0FOwVU6l0+A1PNWYgmhzFIlJCVEzLASMpI2ZUf3ijDn/mqifUe+8ZkQcx4dXbjarrsoeiSybRKfoOHlqiWqUBQGvla2GnMk94ACoyQgiSRV1h9QhPjbOF6XKYPUeBd9/OoGUpoBqVLQCCWTOiEKo1lgjVErO3uqRMzf8kAk3YasVaZD3M9KISND6iPe85z0AgPnz5+PDH/5wTWw4GMfij3/8Y9xwww244YYb9k/dHuOrh9qgYTkccY/GxF6pKZQC8imutWABA3dMiRRBAOCoOQN4rVPT0U71tlrUeAHCadCZdGzu/MmIqZwIUJ0hEnWOubwh36NCsdDHSrIXmFV35KxjsGyVt7U8Xd7fyzGUIgpYTq9JGio/GGybeJAMRsaAklQBwxACDwQkokBP89omE3WHJvkfCoE2qIMa2Ropt3F2xsU9GOJjYpZoAlEIvwZmpJgIMYMYFzRRhTIgA0F6cwaZ7Vm0Ht9SkRnpLRkkD63jJDBrgBlUpEtxx63n5V4egNEpvy5CMECJKiDCm+GpbQDLMrCGGl00Klbxs9SRmscMBugUkeY4F5MYYqhSaqaMVmeOU1zCO6rjGU3zAIkq0AerSyGmjHGBGgbIezIzPsEYFOJjAYiQ6mpfxbFYgVoLaM5InlAjkg/pcc0iDRE0zLJT+OQMgMptYyDlmu8pxLM3ZtFuKKvNYpGPW8PIUcRG+5t/WSF4FF+eZ3XX2EhOrQu0r9NvawIAFHSCH51lponvB59gmHDweWMjFCE584dKyFmtMJLJWaXYtWtXzfZ1MJ6TDRs27N8DiqGpp3QupkHhUP4qhWueqMPMnzShL0vs3dRYEMSUV7fuH+H48/ots9Fz6Tq4alNltH6Np6EZsH5b46yGIpnueESk6+WL6ys0l49Y1eqwh7R3QSv62Pq74Yh6HqnK8wiJicTUpBBZqM31Ynb5FHfWhJhErDUKElUQHxOHKWISaVCdKpoqf14QiJVqrbrUT9kmueZMiSvO+YBJDbKFzHakMYKmoxpBVIKGWQ28dVPOgF6FKEB2Z5YLHTDee4/pTETpuKOV25vn6Y6in5mRNaAP6NzxVQgnsqJmTomSmtUJMsYQa4lyO+R9KlwxkR+bDD2HSvVw1RkkvyDe5Iwxb+lEF5QYQaG7srRG61hmpNJg3pEz8HYZMY+FLBlE4fupWE6fDwsuYuNx/3u5FqXOkCItHFG9+kgVF6kpfT2IiMKa0buyu6pBxNzPvdFweH3ZNF2HTToCRzxlC4wa9Unc1KUgklQRaVBrr4i8H/H2YgbDAMYYHn/88Yqd5OF0iDVNwyOPPIKurq5hO0ZQ+ElrHK7ImQx37dtQNgw3Kj1eLe18uy0UBEG+q8BV4wThaZzVgPj4uKOouhzufTmOvqyCx1cKZS7UfoyZhM90bMwUR8bEqqZeWiCAqMRBSCpB/8oB6AM6V+0rc3vFIoDaEOFOtQsyOWNAdQppFkm192FI+5N9G/M6GnkGfdCA2mQ7kZTZNXA1Uf9iDEQO1TFYKVXJKXWINEYsYp2YlHAYav1FeEsHUza+epOkyJlLNc06sBn1EQRNTjPijqxoA1DNdM3sf/U0V2mjZtSCAUqEEy4q6srqJtXxRuoGAIVHtOoPrwdjDJHmKGrVVwyMq8AlpyeRnJ603jZr9PzMAQBvTM2GJa3RYxPDFzeDmlRR6NZgVNH0nUczGSL1qkMQhIpIFii/h4Z09BUewa/0mpnzM2/ULL0n2+OCr3MUV5wLX5XYNtQ4UQDoQ0fOQCEWwaofQ0OhVI2Z5+6M4IIgzshZeQEbv7D2QQ7qwFlIzqrFY489ho9+9KNYsWJFRd8fTof4pptuwic+8QmcccYZw3aMoDAMZy8MP+SsVpBJ3osvvlh22z//+c/DYkOtUctzdTBGzvYXstuzSG/NwHyiWavkNFhzYivlkKHm+fCUgit/WRLr4hiUwdBEfVLJZeLqa85MIQlmMIeKJOAkXSoBok0RS/JbRkGXottAVb3XqEiFky9PnaTqJa9im/176iYnUDe1DrExTnLGDSLVy1cDzrRGSFEreRMRASAKrzGT3we4gIExqHPjalFzRgECYtWcuVO9THLEDAqqMZ5G6HIiGSOgWQORKhqZm/OZWq9adTWmKIqZoWrJ+osIn1qnWI4vUQlPs5RVOWuwes5E1CNSHynqPRUfFxvaoRaINEYswZKq7JFvZVKCgFLmy7k2W1tUMx8xCkAlSB6aLIqcmWPZDwiB6GvFoPsQVSo2hB+I954rjpxVSs7qZ9QL44KbZB3bVVNVbAfh890Ql4z3sqt+oaimafUMPGIdcFw7BUEkacgqYF5PIoSwCj3VRYUPFEJyViUWL15c1feH0yF+5plnABz4Hl4yKKWO6JlXBGs4ImdLly7F0qVLfW//8ssvV33MIKiUZNVSECSMnJWB6QBJKWlwOTQ5DfjsffV48LXSqTv2gyN4CshQYABio2Nomstz7806mWhLFInxccRHx0qmFRGVVN+E2iJnKPKCciXSCd1wqucz6INV9IOynvVSzZn8yJNklk2CxJ19taT8ttk4uxKYvbDAbJMsx5UQfPmRJM7/bT0GcxB9xvix6qbYtRemLUpUQf1h9SKKVLFJNsyaM0KAUs1tGUP99Hokp9ShblpxPQjNUehpn+GaUpAiZ7FRUdRNSYAZlPcFE58ZQjBFXqWneadsdt3kOsRaeZTGyBhV9xVjlJb8WfGx8WDPKLFgkt2ZrdwgKkJE4OqwXgS9aW6T3V5gKJQieH7NoXY02EnOiEg19LdvMyWRREhldXBm5MxgVs3SkJEzn7smqPwcMcaQ250bup6sTAsWE9GWKOLjYhhcV5lCuAVpDNUCXvP+kN+R59aCNDFWAXnRAhQYWFVd8/ADhdAbqxKlnGPGGHbu3Dnk94eTnAV13A3D8GVzNaCUQtftFTH5bxPDETk77bTTAm1/sBCVMHJWHvv27UM+n696P+bKsqMQH86H9cOvx/DPtVH8z6PJou9b+5H+YJUJpJWEeyiYfYWIShAbFUN8fLyks6ZEubhDVWk7Qo0t0qSibrLTec9KEvblnt+aJAgSaYgis6WK9g6C+cgrzLIPW1QbQ+TX3vZmNqcrdtBS69PoeblHfF9EYBUejdqbInj49Rhe3BjFq9sjvNZKandg/SRpf6Z4Ry1qF3njbXEML59YiGyoSRWRxgjUePE4YprBox3VzEkmWaUM0aYook1RntpokmImGkDHFLsJt2hnISPaYsuiD65JoW95f+U2QdyrNZoeTVGQ1MZ0FQYBuwZVLjIUU+wFmSr2V00kxchSi5Q7VFCZ+4/yUOsU1E2uE6maFRhkjh/dVtCtRVqjtfsKz5GR4u1XypEzJab4FsGItkYrTvmmGpXajNTumU8pg5GmyHf5j1TJv0DXqksbNWGV7In62Zr1p9zPODg80BGMUgToS1/6EqZMmTKkbPtwkoCgA/3Tn/40pkyZgmeffXaYLDpw5Cyog16pwMv+xttdSr+czbt27cL48eMxc+bM2hyMeqSlSKc/lR/6/FlpjTpDdltt+8q5TYskVagJf/MLUQmMjIFCgAdr0fFFjZuiKkW1JTkpXbHc7S1Hzki0umieSRZlslFEyKRt5bFUMnKWp8juqCziYWQMO7XJbEItCJZ8FxeM4tom2xZpjAmVvmprYQDusJmOozslFShB2FyoOzSJukmJ6vrlySm5Fllk3PkXjnfT0U2IJO3URaISGPkSxyQA1Wl1tYvgkbOaFMQAVvoXrbSXF4BHlxCccO9Y/O9jwRTtyqKKMWRI5F6+xwxqjmUfrUXA78FoE6+5rGQcmfeBPG849uJJzgIcp0JHn6gEekYf8vtyCnPZ/QnF1EqQWpdC72t9jkWiakEiBDB4a42BVf4brDul9GlNfBA5rdHdp+1gQkjOqkQpYYm77roLAPCLX/yi7PeHk5wFddwfeeQRALbtwwFKqeOcaVpxusn+EAQZCvJ1WbhwIX7+85/vd5EQP9jfkbNNmzbh//7v/9DX11ez4w4XlixZAgDYvn179TsjxK67kd4udfoZA25bGMeSLU6Sb55htV5FoVfjPcFqBZctyWneDn45pCtczbebAzPAw9nxm9Yo16ZxcYrqojBgcDgxJcmZ66uOz8y/CY/aZLZVk44GS7QAsIVGHKmXBuFNaqPFzwZ5vNmRM1RcC2NdNwO2SpxoVF603RDHsGyu4prZGi7MQc5oznDUWcUnxi2HPzYmhoZZJZx/BiHAUbFJHFVma8qoP6JeREaDG8UoQ/e/e3D7U3xsPPhafIhv+Iee0qsT4hAwqHORQ02onEwHQaU1sJQbI0fdaIl73oTvy1pB6qeRp+ha1I3sjiyMDIXic7FsSFNUAmpU9vznrRyYeJbVZlBHW6OIj4/zgRCAVDvGTZ4FuBiloUjPn5qI7xwghH3OqsRQBGgoh3ckkTMTw0lCDMM4IJGzoJAjZ6agyuzZs/GhD33oQJnkieGuOWPMmQP/rne9Czt27MDmzZvxxz/+sWbHrhTlxkpN7y1i1wc50hplcRvp/X+tj+CHz/BV7a6f9tm7EV+ONkVBMwa0Pp03s60BvM7EUPOPrLYdHx9HoafC2hyRisZ0ViQXzZj/tMaClNZYqn+Tb5OEgoQcNTF9tg93b8OEX+5A8+h3oD8Sg/s28uqNxCiPfqkBFMxcBtkKCSYIj6LKxytX5y/1F+cRo6wBNcH7ffkVpTChD+roXzGAlhNaHMSj8ajGYjlvZv2vPBQUnctAsNLgbLLINJ6aSmKKRRqViAJFeC+EkLKNcpnGwKpcPqcBFBmHghpXkdcKUCsY22Z0utbLlQw8zbLShVBz4Qoobu7u6/vMSX4r7bvIGKDWqY7aWvksV5PWWImIU2pdCkyjKPRqUBJKkZhM1aAAgib5lEjRrwaE8AWloKn68lSoFfy1ERgK8i7CyNnbGF7O8U9+8hPr76EcxOGMCo0EeXY3KklrPBCRM6+0xuEUVhkJ18p9njVNw7x583DZZZdZ7+3YsQMA8O9//7tmxx0u1HbcMJudweG521tIb3f0e9/3skV6jmJgZXW1MDKCLhCu6FBx9HVNlry/ElVg5CqUaGYQsudO4YSr/laH029rxEDOZ82ZNB2YapgV1wyIVXQq/R5DEMdL96xHtCuLs3s7uPmu+8irTkWN8/NDjcrSCM0aQGfhGE/dlN0kd683Gfo/O7Dzib14562N+Nbf6xBtjlrpm0FBNS5ZnlqfcgideDlIPLo29G8mhNQgcuZcBWGUIdoaq3i/VKPVO2jU+7xUCqZTHvkI+ptYBd/xAcIYaK6476BfmPfYn1+P4n//akfr/dy61z+fQNuNjejP2scmKqlQPZbPz2a9GQBc97yd+vns2mIpf/+CIJXd97zHZO0JdaVjgRA7mlxTX89MIQ5ws8lbHv2TZqzvqZ68OhZPjRr0FDxACMlZlfAiZ9/97netv/c3OdN1Hf/85z8xODjosK2zsxMLFizwdTMOJznbs2cPnnvuOev1SI2ceV233t5e6+9sNotnnnmmJmIT1WA4+5wtXrwYK1euxN133120bSpVpVJUjVDq/unp6cHzzz9f02OZqSDm9O9u1CtfiVKXRa5vYHlamSJZCQTlMF9+JImuAeDzD9kpYYRUlk5k9VRzyfX/7pU41uxVsXCT/dAtZ2fecF5PRhky24PX5pl1WIwBiuRwujPJsgpfhFHqnE6BaeOUXAq6IC7RliivF9IqTJMzU4mk6BlRweXppXOiU9c5EJ81GBroEzvQce92rNun4p4lccRGx0qq9Q0JkaZV2JcvEtQoMr3A/I2LKqKdTFr4kGvOGo5sQGJSnJ+3Ms9LxoCFGyPoTksLATqDkdI5sa4gEsNtESmIQYQjDIZNt25G5/Odnp/TAoM+oCHfGazGkwmlxyBlUn5AdSG6UqFHaAgxh8sfcaaXmuM6lefZBF4LD889kcZZazbhgaU2cSIqAauEnEnzM1A8D1/z9+I0b7+cm4EEvu8Jgej76FrUqwEIAfqX9yPfGdAHIXwcaYNabf1PgsBzo/v6fOdfDVWb4YycmWuqB96nDIqQnFWJoZoZD51WVNtBc+ONN+L9738/PvjBDzr2feSRR+Kss87CU089NeQ+apkq58bHPvYxXHjhhdbrkVpz5hU5k8nZZZddhnPOOQff+MY3anK8kRg5K4eRQs5K4eSTT8btt99ewz0SuBXNlKiCxqOkXl1lLkXS0DAll3L4d4lJCdC8UXV/MRMGDXaffGLtGjy89kU06U4HsSIRDrGKS3Vv4QRZ6IOW6VLsdt4YBQZWViCFbPpClCE2Lo5CdwE7/rgTRm9BagANDKgiatjsXFFnDDgm1YM7Ny3Brp+ulewRfbcqEiuwswOZOEeR+gjqp9c703tc58B0cOsMeyFLlQeiuRIeEGZkUm0o7t3lhhojjmhEOTCdVd7Q2IwsSmyV9+EiQzZVfnJVFB/7bQNOv82+J1mBwijw6Gnvq73QU8HyrrIdWXQt6vbsRVcO/a/3o2tBNzb/cis6Ht6F9CZnLSfTqdXHLRBE64Rqelx1LexGz8u9jveYTkELRsW1eUbWcLQysN4X9/olD9bjk79vwK0vFdfI/WTbMny8extaN3Rb7xGFQB/U0fmvzmBjyXU63ffS7PHF+/L92KMITKahEFDdvD9r78fk9uRtJdMgoAyZLVlEm4doCh4IvEF8EJ+kSGG4NmbY+xM1Z7ldB3YRvRKE5KxKDEVkhoqc1ZqcmaIeCxcudNjW09NjvT8U9ucqg1fkbDjJoV8MFTm7//77AQC/+93v9ptNXtjffc7MbQ50xHAorF+/vvY7ZShOayyzqYwbtrTjzk1LMPGuFdZ7kcYISESpPNLgCkEF3c2Ju3cjSQ2cOrDX3icDWAWOnyl/7m76bEKXImL++5yJVMkCDZ7aaF4mxkAIsOH6jdj1yG7Q325Ao2EvCBmm/LdHzdnpA3sAAPkN0kIE5ak7lUSqmClWIPWEArg8vSNy5j4H4rN6as+Vcam5Gas01U2soBOFQG0oX7iSnFGPukOGVgYkCgHVGXpf7UO2I6BwirnCbQYW3WVv7oJPF14S0dm9g1L/Op3ycKnOAkdiXljG8KmfKejsZr76T8mQo3Q7H+zAm19f7YhwNB7ViGhLJHhfKMqdzUpTPI28gU03bcaGn210vE81rh5ZaQox1RlIVMFHurbho11brfcXiWuyYAMnAf9YVbq+Vs3Z49usOct3FnhfO59w+y7u+eT0w4r9Db9XVR/UMLh6kMvQ+4TZKqPaVFSv71Od8bq8gF48nxZ5NJhECe5bGsPXH6urqgMGIKKEXorG5WxxbVtu4a4cdvdLKbHOHfLnWRg5e/vBK3IWi9kTkDmhy469jFoTEYdAgceA9OOA789ozHDXnBmGUZGyoFfkrLu7G4ODI6uh4XBeK6/z3tBQfdrBwQlmhT5KVQ+USmvszRBMy3MHP74n7XzQVqAAZsIdcfM7lex7thPLLl1pvTaIPScQ4jN9zQ1Tza/EAvFg3rFpSbijf6xg8AdsQOfGSpEz06rWicjF5kE0SeSsVS9AYayInGlb0hir5Tz2y1N3BlZXMA+YxekMRQzWKQji/Vm9FDlLyJ2nWWWy45YwAA1GPAB+HnoyHt8h/EOao0hvDpiOal4yMZaKbKrgPqE6/8/IURiFYLVn7/5fhidWRvGTBUmYTbr9wut0Lv+8fc8RhUcDA6u1Uviu//P8etY+nmMfOhWLIP73VZAi7JQyEAX4wt71+PzeDYiIyehrjznTCJNR+ztGxsDgWnvhg8rqpIpEPqp4xPVknP6OV+s0d1pjbncOqQ0eqrUM0FJ6sPmRcEXVanpt7fn7HrR/ZhkyW533E9PM6Guw/RHAGkdEIfj6Y0nctzSOl7c6fZ6+LClaKBpyx1WqI1bqznznSXvhSL736g+rh6EFF0saCQjJWZXwIlf19XbetaIo2LZtG0aNGuX7+9VAdta99n0wkrNqztEZZ5yB1tbWwN/zOk8LFixAU1MTstkqpLRrjP3d5+ztS85g8bNSZ6nUbfOxbzmfcEWpVRVcQiNP0bWwx7kbn7ftltu3QttrsyVNrptjBIWuQvA5QEojhEc0Spb89rIzpnofj+pM9CqrwB7AMx2tQSJnX9yzDtdtbXfUeWV3ZJG//k20pbrhBmMM2qAeaPXc/X1PZ9NHWqNst0zOiFB8rNyeYMQDAK74SxIzf9yMxe5WEQrhTmPBqIxAmCvvHuMv2hIr6p8nw2vI8qgF5aS6UJmgQ1daAS3QYIIgfsiuiDIGAfNS/AwAOUVQJhkMIp05gGM97RPSQrBrzCbNKK/Lzvq4/XrtD9dj9TVrrNdETmVVCWiOBo7EyNsO5ID5NzQ5Pvbiwu5LteKLb2DVlatR6HWWXDADYHkaKKXUujercKm2/WYHaI5i0y1bHO9T0Y6hon5nHqFpuRfl9l4Fh/+oGZ/6g7/+dNZuA5riPi2VejNdadtfc9ymCk9tLqfmOlIRkrMq4eUcy1EyRVHwj3/8o+T3a51CuHz58rL7dpMOTdNwww03OJQI9yc581NzNlRdXzn85z//qeh75nl6+umniz4zFQtriVLnvKenBz/72c+we/duz89//vOfI5crXuGvBH4iZ/F46b46d955JxYvXlwTW0YeRJ8zj6fs4i0q7l8aK/n8/b/tyx2vtX6JnDGg7/V+FHoCCgMUKIyMk+R5rQr7AZUe0kQlyO3Nw0gHu+d4rQFApbqgvEd5j8JYkf+X3pzB7esW4zP7NuGYdI/jXojUR8AooPcH1GgGYNYJgsDxpJMjUABwdKbPce7c9UEOiJQypQI5fau3kEfzV6cgiOt74t8GKkfOnBtVQoQGVg5aNXRFtjLg7sUxLO9Q0dFHcNtLcQxK08zDr/PskPPuaUSvK4KmDRigOgKn3lnX3SRnrumnbnICal3p9EuvoyWnJZE8NAkwxtPjKvRjC91asGvuwxckCieMwYwR91iwb1mQ65MeeiVi9WGsn1GPaFMENMAksltau6AUyEiNwOsNHQ2Ghns3/Ac7HtiJ/9q7AV/pWO2InKXWOOuWFYn0EMVWawzkjki89c3dxWPFk5yV2FVul/O52jCzHpHmSLDm4aIelNFqmznwRSMZsnpsEFiqsWXw+Bt8EeTFjfZiyGMro3h2bQS/eyWGO/8TL74uoi+lu5XKULY4Xvv+JsfGLgW/XBgHoXbq4qMrpNRZJuozD4BuQbXwVeHb1tZ2PYBTAGwFcEl7e7sm3v8ogK+KzWYAuKm9vf3WYbBzxMJPn7Ny29Qy8rFs2bIh9+0mZzfffDO++c1v4lvf+taw2DQU/ETOqiFnlcJMa/zABz5Q9JmctloNhkpBBYCvfvWr+OMf/4iHHnoIK1asKNp2YGAAN910E77zne9UbY+fqKpXuifApfW/9KUvFdn3VoJdbub8fefd0wgwho8eqzm3FdgTq8OMnO2I6P0aADsNQx/QkNmeBcYGsaU4tcmoMF8/Jj+pGYM+oAd/SprbS+lfeWkl9tvbV+DEwU4YhMB4/TBgZov12eZbN2NSPovPdm4GOoGuF6Zj7LvHAADqptQhvS2DgdWDGDs+QMNd089nACAEJcSbcgTKhF//pm5yHYyMUVGkykr7ZMWpsfLe3KlEXmmNcVeoopJm5jwKI6IerqHz5Koovv0PnpI2pYViR5+CTV0Kbv14cdbANx6vw28/Y6dc1c9IQuvTQINO28JptJzHgMPZa9oxhU7yIlJcSXoZYwyFHg3xccHHXzmYUcZAtpg1ZxVOsXL91o//EUNnrA5dP+2DElOgxEWfqgo0Ihhl+OWCON4jXtdTDe/o68QELYtdf87iE+L9h9hUAPDsYRbJaDByBtQEf8YYecp7CgZ9nohxoypcRGeclsW2BBeJmffKJmzuyGPGV6YXbQ84o4l8npY2UwkICGi5XhdumI3iUTmhVpOq55yTmJSAEisEavpsoThw5ngpK54CwGAO+MJDzijaqdN1zJ0kRfBhLkD5t6e45sz3VwEAJ/+iEXHdwO82/BtnJFvx06nHAuCk7fAxPGLGI5cHn08ypDfW1tZ2LIDJ7e3tpwFYC+B887P29vbH2tvbz2xvbz8TwCYAjw+TnSMWQxEHRVHKbrNt2zb885//rIktu3btcrz2EzkzBUJkGxctWlQTe7yO54ZJziileOKJJ9DZ2Vlk96pVq2pqkx+0t7eX/KxW6pF+yNnSpUsBACtX2vUKbvL861//uib2uG1z/87du3dj48aNnttv3ry55jZ42fTUU09h586dw36sIhBAeNVFK4PHpHrwx3UL0dveh+m5wSLnf1fMWXeR2+0UU6FaBc4WRRGjsGSr16Ww8aZN0Pr8NZSOUwN7BvhvUpMq9JReWf8lIXahpw3sfKgD269fhzg1UGfoOHVwHyJgiDOK5IMbHE6y4VIb2/34Huhy2iDlcuhBHGsra0cIgsieR4NRvCBk5Kl1D5Z7jkdbooi2RisSTRGazvzeKuOUmCmWq/coaN+uSuTMvp6yIAhPAatgAUtEqEyFzd4MwVOro9AN7tyY2NHH/27f4b2W+8o25/tKTBF1UZVJoed358D0CurgynyWnJGE2hCpqOcRo0B8bLAFOV/jQ6lAGdVK8S3+3uZuxdGywguGVHMWd50MopDKrhl4n7NVO+zr5XWPAUAywu32amswafF2LP/CShiirUPd5DpE6oN1WJb1mhQC3Lr5Ffx608uYnekDGMPstR3ofL4LqfUpS5THTIPL78vjzSvtDKIN129CeqMriq4gUPSVENEDjqJighBt8b6mRCEgUaVC5djiZ458u3WlnH5bViu+F9PuZA+z5iyAOdUKgjBGcHSmD02GhlMH91nv94lovhJVEG2OVJVWeqDgJ05/CoBnxd/PADjVvUFbW9sEAPH29vZtNbTtoIAfKf1y2zz00EN4//vfPyxNfb0cfnfkw1RxlJHJZNDdXVxvUQn81pz97ne/w4c//GG0tbUV2f3rX/8ap59+Ovbs2VMTm/zgwQcfLFlbJkf7qokSySSr1BgZN26c9bfZt8u97a5du7B3715UC/m3eNkza9askt8tFAJKDFeAf/7znzj33HMxderUYT+WJ0zxBNfb392xAq1GAVdtWIFfbXoZd25YDAZAEc5PnXCklzTy0Fj/6/3Wd5lemZoUd35d5onhtOrqNehe2INtv9mO9Ob0kDUScUZx2q18ZTlSH4FaH6mgFgb8AWgwrPzSG+j40y7klvfj411bMbFQLAzR+0qf/cJ1QrPbsth0s0T2KaBnDM/V9vIgFkmTn/kNtJi0nvbrxVj9zbV2r7ZyexUy3+60pyEhRc7c7MxLSv/025rw/jsbkcoRRCjFOwa7rG0SLnKW3Z6DNhAs9ZNRPoaYxgnsR37TgM/9sR6//k/cM/3LDZVR/HDbMpy3e0vxvk2HNAAyWzJgjJN1PeBvAfg5jFED39m+Arv/5nxWEEJAwCoTFaGccAb6jo/7pxIyZPYT9MI7bmrCx+5twIZ9pW2VSXzcHdokgMet4dMuJyGtN3RP4aQ6Qc5KkVd9QIcmar2iTRFRtBXMFtPlUAkwWcw981LdDjK66qo1uGTvBr69OMDm27ciu835zF/9nbVwI4gAB7MIC/M8H34gp9O665UJ8bkQ4LbLgyzK1nmK/bjgNXRLpf6XtMP9ugJ3SvfwMVXHLXDwpTQC/tIaWwGYBS/9ALyULT4G4FGvL7e1tV0K4FIAuOKKK/De9763AjNHLtLpMvUJ4JLjXgTIjQULFmD69OlDblcO7uN41XMNDg6io6PDer1v376ibQBgw4YNjlomTdMc36sVent7cf311+Ob3/wmAGD79u3Yvn2757bLly/H3Llza25DKWzYsMHzffk8MMbQ0dFR0fmRCU1/f7/n92Vxmfe+97246aabcN555xVt197ejnnz5gU6vhtyreS2bdscY2PHjh1FSpWlxtFZZ52Fm2++GWPGjKnKHjeefZavEZnnHIBjjJY7/9WOXaPOAJ1J0W10wzjSgBbh9xalQMz1tG41CtiqpPHw2pfx76bxVn+qdXXNOHmwE9mBHFJjeZoja6ac0yQGQDXq206mM2hz7Ad1g6FBNfLo7LGb3nYv6kH3oh7UHZ3AjHtKzy1xaqA3q9g2tVJ0pvaB5APUDhgMxjEacqrTefhs52aeruhCX3cfYmOjSL2SQn53cVuGvqV9lj200YChEOzu2u1flIEB2pEaGGXIRQ0w0zkHEC2Rtp1am0J/tB8ZUkwmTVv4vnmdVme2E0qHf6ddn8Sjf5qmwZhpQIva5yqVjQLg4gWZuCaO1wIA2JnI4YrdOzEzN2BtPz/VjZebxvHtRvMU13xXDoZi+B5D+gQdbCwDCAEhwKo9owEAz24heMcRBciptwBAVSqdhxYcnh3E8aluHJ/qxuComEMRjTZT6EqAOZEBOtPBjmDQYwWwEylS0WC9FPW6CM7t2Y1TBvdh+2+ByOkR1M1M2IdopejMdIJ0+B3XE/n3Gily07L+uxUDyMa9F/YGWwdtcYLRDDmFBGo5wHQG7SgdeN72YuVrAgBvagVMHOtcOKAaw7479yG/1b7XTHJm3fejGLRYIcA8NNHe/zgKus0ez/VU93bREwWkxuZQyJdezEs1pKGP5ftirRSdWf/XjOkM+kwdWlRDPhO1og95RUXSFc37WPc23DthJmjMQGpsCpldxfc9zVHHvc9aKXqVHvR39PmyhxIKnArk1Byfk0gBO/+vA4nDE+h//wR8+/5WnHVsFpedXXqs7+1lMDv39ZN+xMfa6bVsFEMhkke6o7wfKsN8lgEQc1ALACDXksXgmDy+dX8Lnltn57amxqaQjisAmh37ScfT6FNziIwSNIIy0HEU+QgFNH/P3M59MQCjrdd6xHm+h0YLqETOFEZBiYLC6AxSY/kzOugY2p+YPHlyyc/8kLM+mE8NfnW8mMb5AC72+nJ7e/vdAO4WLw/C4GJ5lBNIAIBkMonGxsay2wBAS0tL2QvlB25n2Cul0H2cUv2qJk2a5Niuo6OjIvuGipwlEgmLmA2FcePGVX2OgqAUuRg92p5MCCGYPHlyRedHJhbJZNLx/R07duCQQw7BrFmz8Mwzz1jvf+Mb38Cll15atK/m5uaqz408TidMmOAQPpkwYULR9vLx6upsR27BggW4/fbbcffddxd9pxo0NdnKW+ax5eOW+/3Vnpv+5f1IrU+hYXYjMpsziI3maU5FqR0CY5cNIkkNvK/PTjXeF+OOYvbNLFK/TWPCh8YjvZk/VBtnNyIzKe3bzvzePPa+KAgxY/jDuoVIrKXY/GzxttlVOSQ7kiVX/z/buRkPjjsMDZ1ciTO/L4/WE1tRNznhub0XtH4Nu1/cg0ijv0bFDbEGNHQ2YNXX1pTcJrk7CSWiYGDVANSkivHnjffdNNXIGtj76j7ogzxFk0i1JNEyy7P13fVIdRY7OvX76q25jBkMmW0ZjDptNOonJ4u2LYXdy/YClKHp2Eb0rx9w1DDV9doZDSQVs64FAES7knhvnzNl/dzenXhAXDM9YyC7PYumE5uRGjXoewx1/qsTWr8OEiXYp0ctxyaiqVAGi9P4VENx2CW1rgNZQtAwy/4stSGFaGsUEz88wVd6Yv/KARS68tD6dCSn1iG9LYtEkBpDAGo2irkZe4Fp80VbcOLfTrBe5/flMOqkUUhM8juuhSBFH0FiRxKRpP8Uu1Svt7Oc3J20aqr0jAG1TsGYWaM9t/VCblcO+5Z3QhmUUgilawIAic4oNn96LUad0opDPsXHwvbf70D3Y07Xzaw1Nb+v9WuIT4gjM8HvPCSpPe5ToUhRuViJgsNYWkVDZwMye0sT0rq9CdQ38EXJ/L48Rp0yCokJ/sZCvjOP7te6ER+XQF2vCtO7KRDFVpB0IaJxm1RVhY7ibeTzW+guoGFmPRoPG9qnA4D05jT61vRDSShgOkV2Zx4DLwxi4IVBPKkciVc3xPHqhji+Md/7+3uW9KGxz/YTopujaKi37dFTOqItEYya6a0G7oX+1/sxuI4TILl3YV1/Hfo2xPDQIud4auhsQFoab6O1HL7WsQrNl/dgHYDjHzgOkYYI9IyBzJYMYmOjYCcyX2Mo+uSA4zXRlKLxPOQ+pIho0jCQiiho6q9DQycfM0HH0EiBn2W/xYBV53k2AIf8XVtb23i8TVMaAX9NqP0IWgyHiIKftMZSAg+1EuGoREq/0n3VGqVUEIPYXA7yOZbH0V133YWpU6fipz/9KaLRYmfU69rUQrFRtkHXdcfvHOo3u9Maa5Fm6Qd+75tqRW54OhFgpHSHLG+6RHSJeYzVfVH7QbjtNzw6zHQehakovUnUhcUZRWKIYhp9CPXFQ3NSVJQB1N291Yc9APwLZfh48uR28jHdeGQjIkm1Mml2xrDqKicBPL97a8nNB9em0PHwrqL39zyx11bUVHjqnRINWB8hcgX1fp3XZVk1bgzGoIbvbF+Oi/esx/HPr0bn8534QM8OnNq/F1qJNMtmndujJhSodUoF6oj8ut36chK/umYfHlnzAkaL3m5+MqVi0j216uo1GFxjjyE+pgPUn1DGpcEZAzV4miUzGHpf6S1uPVHyBwHjC+WiUKSitCk1Js5vAJRKNZNTZs0y1iDI7sqJurHSYy/2Wiey27Lo+BMfx1Sj2P1YcUlAoiitkVTckiHSFAGRcmFjjHpaaMrll0vFc/YRCyjmwADz3BjS/VBQvMnZrzYuwenreFquL4VagkB1i5awDQMYiENxcSBXfv5glGHbdc7snZ6Xe50bEXARlwCglN9jXte6VM2XnEn77r7dOC5tE/3MFh5xVKKE96QMkEZIXSm6lYw+eR6q9yTgb1FBkPb29uUA9ra1tS0CcDSAR9va2u6SNimZ0vh2gJ+aMz+OYS3ImZu8+FFrLEXOakVAKpHSL4X9qSIJwFfNWTWQf89TTz2FO+64AwDw3e9+1/r3jTfeKPrecJEzeb+GYTjaCHgdkzGGG2+8EYsWLSq6jvv7Wg2FahcbTAU5I2M40rcyHoXSAKB4kJuuSPHKHdO5Uxr0qSTXnnipD7phpHVs71Vw/fPeUYNfb3rZ+luJK8Gl6xkAQnijXx/wUz9mNl0lKrEkqYPYwxhgBKzH2PAzb8Gb7b/dgbX/t47bQwjiY4JJ2jHLGWLId2vo/ncPlv2/5chszWDnAx0oXP0aThnsxPnd2zBlaxc2/3Irvrx7Lb69cyX0Bd61th/o5cI4RCGItkQDSWqbggBMZ7h+UQM+2r0dCUbxvl6eiuSn5izq8lJ3PWq3+6g/rN6usfMDhYCJJtHrdxHc/HI9tj++F+t/uhFrv7/O506A8R6Nw21U6KRFSOCFwVJCH476T4LANXBGSkd8bAxqwn6OX/d8whL0AQDimntkERAZbrJClOD2mGCAk5xRig/1FJcnKGJRacPPN5Xcl3zumNkOowLot9v1YhSkKK0RAKbnUzhl/Tbc+K8Y9MHiz5WEy0UmJJjiJwMf24xf7kKnvYgpq9l6oWdxb9F7e//hKkMhJLjvSMHvNZjzADN3hUKJaV8+xJS8Myq85rv8/lSiCprmNgVadCiS0q/gWstqw6ZoUtElOvi4mT8p/fb29qtcb10mfXZHTS06yOAncra/HFX3A8SPWmMpNcWRGDkLQuRqgUymOAcdGB5ytmrVKlx++eV417vehQkTJqCrixf/eyl57q/I2c033+x47cZzzz2Hq67iU4NJKL32NZzw6zQZhuEZhfQNKiIcWQNKQsXg2hQKXQVkDh8DjSiIuurOlJzzfG2L16M7WkzOoq1RGFkjuOKWUG1LGhruWz+0kqmRNXDx71XM3ObdL0+GElOg9Qe815hQJvMp2sE0hp4lxc6HjHynHI0lwQrxhUojTdduHGZ32PcYYyTQCjrVKO9rZQDGoIZt93DHddtvd2BgxUDZ75J/e5OzD/XsACDSjQkJLMDBWDHhNQmXbgx9X8XcJ0DalRJTQFRxHXyspBNTuZAxnHZrI3RKMK+7H6MApDd6z8NuMHiIXDg28H/NeJNxYu3XxO7HdiMxKYHWE1vL21KCnDneDxiFAbjyX6QxwomUwI0LEli40XbliOvYpZoUf6NjFeakewFMtuypRPmPH4SASNH//9fpTb6SvRn0r6DI77HLKZ5sPQTn9toKvExa4BGCqwHskP5eawsvRRhDsszY+OWzUZzmcRyao9D6NKv5OQlIqBkYv1biR6TW2/VUhTLCQ7k9OWy8wfsc0gK1UtQJEDxiThmoxqDEOLG6fquKa6a1gYA5GlHLkBM7JnkIPFUKN9GVI3e0QJHvLAyZXi+n0JriW3JbmUqFWA40wibUAZDJZDB79mxcffXV1nvVSumbGI60Ri8H+corr8TRRx9tRYUOdOQsyHH2hyKgjHe84x2e75900kk12X+pBuZjx5ZveOU1nkoRyUrtcV8Xr2PKwi3ua1PNeL777rsxZcoUbNq0ydr3scceix/84AcV77PqxQbGld6YATy8Mo7V16zBxhs2Id2R95z85YaqT7YegisOOxmUOKdbZjAkJiaQmJAIvLJHDQpQ3kDZD3btYbh05QpctM87MmTaAwAkSkqutpcDo6xIFr8UaIFiw3XFtrzcOBaNH+JCA4VO15gKKvNNAD1bm0Wmol0TgAVYgGAGEyvozBEZ8COBX865MO8zTvyC5FuBC5u4HLtPdm3F+L5B72a9LjPckbPiMRwg6iF6fjFqtxLI5YKnaZZ1aAJcM2ffOGHPrhy2/34n1v90Izoe2YXBtUJIQ4piM4Ohf+UAOv5cnBoLAP0uIh54njQYl1B3XYtXt0vkzHXx5PS1Ex45HjO+aosDnS3VMhKFBHb0rWMw55xXCvOfX4t1P1hvvX69fhR+PWk2fj3hSOs9WhR9D26T+7wem+7Bt3asKLl9Y5nsgz5JXRcIGMGnzFKczHZkkVpnR52MMs2sV11dXIvbp3KCmJOIbSUEH4whPi6O2Pg4Bt8cxBwhRU8IUCqbXSY73qmD7mP4NIW6sr2k76357lqsvPwNR7o0AHT0ERx7fRPuWRzDJzs34+PddkWVOSfJU2Fggj9CEJKzAHjsscewdu1a3HDDDdZ7QznFTz31VJHK3XDBT+SMMYbVq1fjueeeAzB8kTNN0/DUU0+hubm57HZByFkp8ZKDFaXSTg877LCy3/M6Z6lUMGWzoexxK3+WSvEsdfxqImeXXXYZdu7ciSuvvBJPPfUUbrnlFkeft0pQi7RGU0r/63+1RSDoD5d7PqzGv2orVaXViENRyrLJJA4kQK2WaY84pOLzqfPnxQqm5csrehV6pSbaFdQvKVHFd63att3e+98dq4MynRfb53bLkSoEipyZ5MOoMTmzzkvQWg/z51JnXzc/57lcfY5MooOeH0a9605OX7fFaoT9X3s34Oye4r6Ck/JpfHqfU4XTK5PIr+NISHG/PyVAhGLxFhU7+4ZwZwj8RxeZ8883dyvY0GG/ufOPHVh9zRpsunUL1v14A16/ZAX0jIFdj+7G2u+VTsPccvvWyuwxbdF5fpx7NpmT7sG3t6/ArEx/UU6qeY3pmAR6CmppYQQFgVJjHccAEKmgR5pJip4cPQW9s7kAF3WQlmAp3+Z06CZ4pw/sRTk5Fzc5e7lxLJTTxwMwo6gCQXtim9yMMaQ3O31F2cbc3jzWX7fR2sYrrXxjHRfEkudFbk+wa6anDJ4WK52icVoOW7pV5NwclTEMrk1Bz+ioNzR8f9vrmDrEc4SvyfizqSitEby/45u7FYvIrn/eSY5vfCGBjn4FP/hbDJ/bt8lhz4e7t0Nl1LlfZv3voEJIzqqELD/uhUKhgFtuuWXI/eyvmjMTZorXcEXOfvazn+Hcc88taoztRpBUxeGInJlpeQcCpcjZUGPBi2jUmpy52xkMDJRPvervd06gtUhrfPzxx3HuuefimmuuqXpftYicmQIKY8vWtRQjo9ir2p1S3ZlFHCp4wDKNgkSI7wn8vYtXF733vzPegYxi3/+6SGXk/ZcCzkeMQYkR1B/mT2lr0Wve4yNODbCpDQABBtekrDTJoJEqqwYuU1typqfFvBi01sPclDEMSCvxWu/Q8586UHre081G40qwWhirCa3HVxTGoFOCifkMPtG1Ff+zu3gV/56NizEjX37OIVI9y5AgRPT7c33fA1qfhkKvhtXfWYtdj+7G6j0KzrunEW+s91Hb7XMIyeeSMuDMXzbh5t8UX6uuBV3of60fWq+G3M4sOp/vKtqmaN9mtBMk8JI+Nfj9WZ/N47vbl+PodC9a9Dyu3/oaTh3ch5u3vIq6/9ipy2u+uxZdC3nP0h2DKs65swGRphJNjUl1kbOGCp7Po3R7wZVG+Gwm1+UxFrDmTDRcNFLB7vtbNr/qeL28fhRYnM+Nfa/1Sz0NA6YPS4syap3T1zp/0XJcu+11xKmBDddtRO+SXqz/iXf7HgDYFeOLgnmpvyIJaI+RMaD1FvhCmhS1n5EbxOrbt0NfO4BJEtk5cbATq69Zg74b1uKKXWvwjpT3+KZ+ilS9vseKX59+WxPec6v9HPnT8ngxaURxE3UAeEeqC5/et9k1jIMR/JGCkJxVgYceeghr1pSWgt7fuPHGGx2vyzkPy5cvx4c//OGSPcWqdWYfeeQRX9sd6LTGSMSf9PdwwIvAqKo6ZIRwf6Q1VkvOalWzOBTcCxLt7e348Ic/XLRd9eRM/GcwjNUDkjPVHmPfmXa8bZOIegR9wAI8ypCYmPAdOXPjt+OPwIa6ZvzvjBOt9zTT0a9AqMB8+JWqb1nUNN7x2lQaBIAp/3UIHp4xE92RGP46ehq0+hhiY2JgGnPZFMwkADUnZ6aiGyEAAkQ7zSbdjDqVMwvd1dXRmgqSgWtPTHs8vjKjsxfveXYFItIJl4lSSRJYVVojQHWneptX5ExP6Vh5xRt4/aLlGHxzEDvu24kzbm1Eq5bHA+sWlj9GAEItRyE1UX/3xT3lhUn0tFMsiP8IwPj4NOyNSv3WzHEjVPwCgVKAAGe+uREnD3bi51vbcdJAZ8nNB94YtFQbNaJgS4+KSFOJ2tsAEXz3eWQAmvRKyJn9HYucVVNzJjCUOm0pZGJRXH/IXDw56hDoUU6m+l/rx4ovc2EuU0XUL0z+QLXi5vbjB9M4IdWFz+7bhIyImBW6Ctjzd2+lY5Oc9bzcZ78Z8ARRnYKoBEpccdQHf3XXapzXswOJu1bjno2LcU7PDoAxnDzIx5axNY3TB0orMDtqjUss+njBHWGjDPhI1zY8svYF+z0Q9O4oYNkly7H3qX1W1LhUfem7+3c7G2RXcp+NAITkrAp8+tOfrtm+qo2c5XI5K1XRRLkG2d/+9rfxxBNPlEy5rDZy5tcZDpKqOBxpjSONnCmKUhE52759Oxhj6Ovrq5jEyvaY9V4m3OTLvb07Qrq/6gPd980ZZ5yBJ554omi7qtMaKXj0jMJT9asc1tbZqb0d8XqsT/D0FCpHzgKuWFONAgqgVPjUeXT0oZY9C5p5jZfWx38XUQgoDTgniUiVlxDCksaxeCPpFFAwV8xjU5OY9LGJ+EvTVHxu5unYHU9CM7hiJAAY0kM/mCAIt4mKFEKW8N+jqhx6uw2uaEZ4FCOARdY/pcQifB1fjSElRWJzZgNvJWDtiUj75H8X2zNpXx/u3LjEej0/1Y1rFy1Cz+IeZHeWWJxwk6mAThEzmGMfXgsP/csHoA86T/zkQgbfLVNPZJkTZNFBuh/9Zuu522zUTa3DCQ8fD+PUifjGdLt+2XJkgwfO7MiZ1MT5Kx6RTS/oouY1Uu+8F+y6ReJ7TLsfXYwBzVp1cz5TxT0vL6hUEDFnrPSiTI6Ud3m7SAwLmyeAEgVGTDpPpgkB+x8wxr9D80bJOV6umQLsNitu/LtpPDRCkFqbcixaBZL2l5SBy4k3XbF7Lb6ye03ZX6qNsVvDUJ+1xkX2uCNnFPjC3vUOsSGDEHT9ZSe0bg1b79pm9YIvRc7GaznHPctKtAcY6QjJ2QhBteRs2bJlRe+564aCoFpy5jetLUjE560WOStFGIb6nV7f+93vfodLLrkEra2tOPLIIz2+FcwedxTWK3Imk3/3+Nvf4i0mSo2nSsmZkTGQ7cjCECkgVKOoK1EQ/d1DizuJbok3YJOoFTCRFanEDvGMgJEqplEQhSASuBpcQIo49kX4Srqs0FhJDybAJRUuoDAGV903DhWpM8u6YrjmiTrekkDYlNdhSYVbqTeEBHPShPHRUeK3tZUX2SmHX008EjvEqvXNN2dw0i8auXhCUEltcGek0hSgLx52Mr5wxKn4njTOzHQrQoKlopqtIQAP1UUP/HD762jQNGy4fhPS673TGT0DZz6fa9b5lDaXI2fbfrcd+57tRHZ7ce3r5HwaR2aLF488UUFao06HUIEUyO8tOOyLNEagxBRQBvRG41YrDYdTHCQVldrSMF59FB8eM73oPRm6+I47uueI5PkVTPFIR2upIHL2kGQzFZGq7pe67Q0qiZgT4llrujLZiq8cVl7MS+79psW8F3QC1XaKojNaoJX1aRR4rWE0eqNxa6EvvVFaeA8yhqTI6FDKuu/v7cD7+kqXpXR8+TjERf2io8avCl/WayGEwtlewRz68TIXQlZ9DAVBQhxQmNLrtUK1kQa/3z/Q5KwqefUq4UVgN2zYgL/97W9lv1fq3P7+978HAGzZsqVm9pj45je/WfTegw8+WHL7V199FTfffPOwqJBWgkrHc25vHqkNaV4bRAhovrQk8+sNo/GnsU4HaWuiuAYrKyIfsiBIsCiMeFgpBPEa1PalhAqYs88PC1jDJP71SItSwKBIb2uSY5lVVNz7slOgoKATKAkngSUVpjVaYgiRyh51fxk9DU+PmoLJQj76/O6t2N6rin0HrIEDhFqj9/e6IzHH6z3ROisdbkHzROxINCCrRrA+2YyfHTIXAJBal+bXKagHImrOiAok/KivSShqhCswsNwj9dlvepOl5CBHzuzztOfxvdhy+1ZoA8VpoP/nI2oGIFCUwU3O/KTs7bjfKZxiCm+YuyoI8a1KI2fcJjGePcjZqmRL2e9rImq0ZIuK1989y3rfdHyriZwd8cYOHJP2Hhde+MmUY3DN/FNw/zhb/KpvGo+uawPO8RgoMmRGzD2IR0aNoCtaXpb9ryKjAAB0xSPCGLC205yzGo9qdLQP8Avlslm4duo8/OyQYwAAu8Ui0UvLKG+fEHQM6XYioeGz7UkpGIzYGQ6yyFGAdGb3tT1+X3HqpArmGG+TtnPyXu7Z575EwRb2RgZCcjZCUIu0xlpiJEbOhiOtsZQgihcmTZpU02N7naNPfOITQ36vVm0O3Ch3zTZv3lz0Xnt7e9n9feMb38Bjjz1WtV3l4K45i8VinttVSs6UKE/VYzpDfHwMRPFOazQJx4DqPH6zh1OXFQ99k5wRUoEwgMb75yRKeFOlVn0B4L5xTjVQk5xZKXIQD9hAgSruFZmOnpzKqTBn+uWVUopXTimOXBcMQI17OLIVFOKzvHBmVQWbEo2+v/7zyXNw4czT8bvxhwMAHhw7AwCQN9OiAqq2yeSDeUho3zZxNlTXDnsjMVwy8zS8+JXTcNMhcxyf7YrVAwAGVw1i653bKlP8FMeLB2S9fUtLR6kK3a7x7tckU4pe2l71qjkL2By9yNGvoObMoMQi534x/txxOPTzU8X3+Xt5Iu57S+QmWK88UFhtFbzIWVotnwVipjV+6J5G7Dh8HMyfKPfe8psA5r4089qDLQhuTjSiN1HniOAPjOMLWXq/jv6VguhX0GS5VL/FPFFQUMo/7/8xaoq9fdI5l9MsDZ5RIPotAvAUixkc4poZR7ViaeNYZMV2prjU39tVfOy3DYHHEDNse4pbFvjDxkQj/m/qcTConeGQc4iUBFjUc70+a/eOom3i1IAhRR1PeX4Vjsj2l42cFdWcHXzcLCRnQeC34e2BQK2JS7WRM7/kbCiJdhmVRM6mTp1a9vMgaY21jtxdeumlFX1v3rx5NbXDxHA0jt62bdvQG9UQDQ3eaoGVkzMFRoY3no42RbG1X/XsFfbVGTxdZosrUuYVZTMfsDQrEY+gKS8irbHUA8qs3wCAO+cf5/js0dHTHK8HBTnrXdKLjEjLIigj/OB5QP5Pdgf/vi7NlSqYg5ztidm1ClkPZ4lHzjzSGitQRzQdEBpR8d1D5+MaSZClHF5qnoDeaNxyHhe08IWZOKMiikJ8kyEjT1HoEhEfg3k2+u2MJaC6XBXzlVd3go643c5h3z87efQ1cM0Z/6+pTI+noHCQMxZg0ZE6/23V8mjwUPLtWew/OgMAmc1S+leARt1yVFQzgHcMlhbd8MLEj06AmuRj27yNzHti4A0pwhhgTDvSGpViXyQ3BPGQmwf/482YJS2/7vvrsfMhs/UH80U+/Iy11PsPxatjx3t+1hsplvM3pLY+ZjuCoE2frciiIGe6RDfzQ5yf34073JEumprchOlXTLNeb7x5U/C52jUPAcCzLZPw71Nn4bOzTkdjmfrlWd87whKjMWHOl2ZqPW/x4v/GL/QUQFTXwldA3Dz5aLzWOAZfeyyJrfU8Zb+vXVqwIf4jZ2bkDQCShobp6eLoe5xSR5oiAByZ6cePtr1ecr+OIVNBbedIQEjORgjCyNnQePbZZ8uKnHihVCTFRLXkrJrr5hZwOdAYDnIWJDJZLRhjJessK/5tBNB6C4gK+em1vy5e2QOAbYKUrU62YGnDaGiJCAbVCO6ZMLNoW9OJ2v4XLnlNFBJcGEBngOJdC/Po6EMdT6O/58dYf29INEJ39TZMSau3m2/jK+BmX7cgYCDoe40/pCPS8dNKBET6fbKgBfVYq897CIIQgopkvk2nyIgoGIjE8Gb9KH9fdC3Eyefoj+teAlHg+4mf3ZFFbk+OcyHDjnANqHZKdY6oRZEzEzt6ix/TbkeTkOA1cObhgkaF3Fgn1VRuvWc7cnukZ5HvtEbnv39cP4Tyok+kpNqcII6+Q62RAq0B66ki9fZ4MYftETkuvrX93h1IrUsFT0WVy3o8FoqHImfyde7od44pU9GxXMNzhyllzP7RlGNx37jDkD99ElYp3tHqvOJeiiizzwDz0M5uYFVnxCIeq6VUTzOt8zfjjyj63p0TZuEv7pT0XhXj3mvXqvYt7RcR/GCEGq5InkYUvDl5Avokgur1E5uObSpqBm9eYzNjIq0FyyjI7sxZrRSo3x6QKgGm1Fsvd8btv2/rmgAASO0rYOUuc/wFOT/23y16wZOQxKlR1H/vzP49Zfdb9KgIyVmISlEtORtpkbPhqDl75plncMEFFwSyY6jzWi05G8nR1KAYDnK2PwVXHn744ZKfVTyeGRBpikKJ8alySk954QGDKLj20Pl47fKT8KlZZ2KtRx2IKcBAuwvI7+X3bZBUEMBMTyFoosXRhcekugk39kXrit4rSApm6Q1pDKwaBCHBa84IYHlYz7dMxPcOPQ4r6ltx98RZWNAyEQNqFI+NnuogPnIUzbJHJ1BEjyEasGGzbY9YQZfImYnvHDofd0yYVfSdxdOnFL1nQu5VpwJiBd23OVbUgxrMisrIKU06UYrcYtMB/+tK7wWm2ybOBgBEmiOBV/QZY5YAx+Q8n4NN0RO/6I7EsKRxLK6cfgL+KSKL6fVprL6Gqwcy639+DEIgARG/SG90PV/8kkVpQ90giAYU3lHq7PFG3Wo4ADbcsClwqm7fsn7rGnulNZppkw47YrYdQw1XZvilZuWDNS83jcPDY2dAUYAXx07G78cdbqnDytjlIoieqpgBz9HMK+J43wOjMTjIv7ReSq82Fz8eGzMNfx81BfdKJM3rfN70gkd9WoAUucz2LAo9fH6W57GHx05Hf44f7/fjDkdvJIavz3hH0feVqFJEzsz0xvO7t+GEwU70ZJWAdYuwclfNlN+hFCwTRzWBfmMubp58NH485VgY0vZmBHTNBop3/6oRO/uCLTTKm5a6xxLMKK5xzJZv7eNMawyeGjsSEJKztwhqHTl76aWXcOGFF6K7u3vojT0wHGmNAPD0008H2n6om3KoyJqM4VIgnDLF2ymcObM46jKcqAU5c/cYG87I2f333+/op+cloW+iFn3X0lv8LyRQhqLoiwk5vWj5pSvFX8FIPjN45GxK3CZnz7ZMwpcPOwm90TjyJTLVdA+bOl2ELbcrJ9QRA1kEADBEPVVnNIFlDWPw7Wlt6IomMBCJ4TOzzsBvBCn6/bjDsbx+lKPGw0TBAFTh3A6uFq0+KkxNMVesDSnNc3nDaPxj9FRcOf0E7IjZq8BPHnE4vnTYybj4iHcW/zrXeQuqjsgdOoZIQ8QaF1nFSc56Iv7nIgBY1jAaAHfiAkdfGYQoCMNkoZy5xUdN3uPntll//2H8Efjx1HmgRLGECgCpJQMC1HgxZqUd+lFG9Iv0JjmtMUiapUTOqL2gIqfJTfrExJJflxftvNY4Cp38WRIocKZTKyXWSx3cK3I25qzR1t9DzcRmzzw/50j+TXIPvD+MO9w+ngJo8QgeGTsdvx1/BP7dNA4AsK+EKIfBiKMVgTkm/F4zc6ELAPoH+HdyUpZAQlpNuXPikfjrmGn2sUvMv5c97FywCFIfnNmWsRYdTMGMHbEkuqMJi5w9MnY6Lpx1BjbUNVt1rTI0160gp4Ffu305erO8+NX3uGbMGpuFXv6Q6JSuR6dHuikTQfl/tUzCEnENTfSKOctU6ly/T+XXzJ81jmdMKdXYiYUslA3ORdHiuKsTym7Xszpo384RgJCcjRAMDAxUxe5rHTn7xS9+gQceeMBTpc8P9lcT4qEw1DkNotboRV4quWapVAqUUiSTfOI/77zzPLebPr28NHI5VHL+a0HO7r//fsfr4Yycfe5zn3O8LvebKx2P8uVlrgLq3jLOdLneSE+2HlJ8HOt/fmxi1kM2UbBZ2N5oHbYKB5uU2JemFE/5e2N1uHpaG15v4o4cLVDbefcLsb0uyFDBYxVfJjiPjJ2O70w73loJllHQeY8oAOj5Ty9W/s+bgeqFLHsgR86K7VmTbMGV00+wXhsU2J5owD6PaF7x7r1rx0qCs3Ukp9r7lgUcNELwpqsX3FAkxUxtNAkoCXi9TF/ITHfzQ87u2WrbuC3OU3mPmmDg303etUX+BUEAJcId3092FosPBcVNk49Gjigo7CvYKqRBCL401gwKRMXcKC9ujD9nnPtbFjQDSBeAwbw9F/zJJXVvOvp+niHM4KJEhPB2FbN28ho4WaHRq6Yq1hpDpNXfM47mqe81IvlRIUc8HpEIT0SR1qcIwS8nHoWlRx+Kq6fZBN+9z2PvOsZ6rQ/ogVRaB2VhE6GIKp+TUuJJAIpafZh4dIVrjg+q+Mn4l8x71LRnIFd8wAfGHYbvHeqsD9aLas6c82V/lohx5M8mMIZB4SpmxGKjnE1x9fQTihSHGQP6c95UoT8SBVEJWo0CGgwNBgu2zCiPo1gJ/+Ow3CBICfGSP0vjTUbrbbaCa6VKvwcaITmrEL/61a883z/uuOM83x8KP/3pT3HxxRdXbE+tI2cmdu7cOfRGHhiOFLlKID/4zj33XKxdu9bxeZDImRcKhUIggtbZ2YnGxka8853vtOr6ShGYsWMr782keRTTD4VaEGr3+dyfNWfDQc4sbWYU9wf6rUiLeaF5QtHX9FJPewCvuFYfGWW+HWtmMPT8p9eqDUlodm1oe6NdW1bq6J0lVq1X1bdiS5Q721Z9RNBIDAF08RAtSCRwQlOwuSBvELQcb6cjZbdlwTQaWKCEMaCzl3/nTyu9f3cqEsVXZ5yIzx9+alHxfdndawxFOUfltpeGHxOOY8YVObt3wkw812Irwk7Nl6+vdZMzrzqkkvaIYc0YMLrAvbUdUi2JiW9MP6Eo3fHVi9vw3UPnY6OoNYtHmOe4CpTWSBli4+JomNmAT3Zt9f07AGC35Fwurx+F6w6ZiwUtk9AtbLL79wUQBJG206lNQOSUrkU77SjD1rgtBFQ3vwWn/KIRh17bguk/aMFOkb73x3GHIXY6v/ejLRHTIn8CHDpvwcAokOuwn/UyOfNKzVu8M4qrmo6BRghunHy047OvzHD2/LIaFPuxR9rGPDdpJeIYg67pEqlIFNdiJjpLLH4YDIiPiaFuCr9uZkqg7zpBeTuhoiOTs7pyfbHKUIqHT5sHAIiN48823xFzZqfH0jw/thndHMh6H29Zwxgccc1hmHsbv1buKSbtImeaEew+W7A5hhk/bsV1/4hg8A2elSDfuxpR8Mdxh+Onh9gkeXuvgs/9sXhuAABKFDTM5mP/0/s2S/b6vGbS30FThzVCHPfdva5awr1P77OPc/AFzkJyFgRyqsJXvvIVz23GjSu9mjYU/vCHP1T83eGQmQcqJ1kjhZzJqKurw4wZztSBaskZpTSQeMqCBQsAAEuWLLEIQ6no3ZgxYzzf94NKyFktrpn7twxX5GzHjmJhjv7+0vVg27dvr+xAzC6Sl4uSe9UYFrRMwn8fcSpunjyn6GsL1vv/3Vq/7r8QX2fYOwjcsyyJ/ixBnSBnP5xyrOUsA8U1bN869Hg81zIJj5RpVGvKxJvRpkBkCABjBIaQrpfr2KaPCjaudAOINkUx9WI75VFP6cGfsATYIZ7Pe3KlFwk21jVhdzzpqYpYCjRPA0nXyws4VKR+OskZQVqN4pbJR1utDv5SYlXYREG6XrymjfknQ9K2ZiNzL1nvlBp1iLsAwJO7G/G6SKn8ybkZxCMoEpkBguldMMpbQygxBTs9at/2lFhUWPre2fjKYSfhKzNOxGdmnYHvTDsei8RiiSnisu+fnWBC0tzvmJavl07tmjM5cnbzf2w7v3/ocbhw5un42Ox3Y8xXj8CWHin97GlBRgiB+hGuHmz1mPIZ9WA6BXTBpiWlxvoyan8A8OT6OFY2jMLHZr8bL7Q4W8FsrnNGSmmB+h4+f33J/ts8NwVX7ZLHkCgLM8IYHc2fyVp3IZgAh5xqKeYwuQ6vL1Gcsvev5onIEQUvN5b223oa+XWmWYOnD/udzhgAKoL+OWfkLF0oPd+POmUUkofyY7rJ2ZpkM4y5XNQoo6jQKJ/r/S4Q/+JlTrIeeMG+OGZ6NGCLpvyneTyWNI6FAYJbIsXpljIa3sej5mf074GhI9A8LdsdlJxFGXOQ74XNE/CmtFix9c5tvKckQSgIEoITgAOB4YqcHezkzD1pKa4nRhByds4553i+H4QYywTfJGelCMzo0aM93/eDasiZ2cy6HNwk14T7/A5X5Oy0004reu/5558vuf1f//rXio4jBc4czvh/z+R1SXtiSc8V62U7/ZMzI62XKk/zxMUP1OMHCxvxv3+tQ0yMIbnw3QsrG0bhlslHl5WTNnsA0QLl5UgBbmFTEMQkdnL65HtmBRuLZp3FhA/bqXL6gB7Inn3Pd2HjDZvQmuXzoleapRvlUlEBZ+82mqeBGoebDYSZwXgtCoBdEgnRJcf2z2Om4yszTsSfPGpQHPskBEQIPlCN+ib4TptsZU13yhTACc5o3Tm/te+wt/voMRoSkVKeD/PtqMmbdXiQs1XJVtztoXy6aTLvAbW5rgn9rjRjk/zueWIv+l/rD8gW7T91A57kTI6k96kxXuupqGWvgx6xo52MMd8+I9N5Gi2jcMj8mwS+1FC07ukhRB8A0TvRx/kZzDB88SbJqabF93wlMDlYbBS/joUeLWAqqhw54zblFAUvfmw+xp09Fk/MOLzoKzcfMgcXzH4XUpHSqZ96lI8jI0t5JMyvb2OmrBKbjOfEPJTT/d2r7mi+pqhIf5bfBwlqgD/mfRJ8xhBTxT0Pswau3pleLV3D6w45Bv9v1ul4YwiF229vm4xeNYZWowD05gORISZlmIzW+Dzj1V6lFLbH65EjCtbUNaMnEse1U52Za1q/HgqChOCIx4tXZ/YHhoucVTKo8/k8+vr6am+MQJAUtaHIWZCaswcffBA//OEPi96v5twrilJS8bGx0X/TXDcqES8xyZn7HHmhqalpyG0A4Fvf+hbe/e5317wGMWj/tMpJot2000xHW14/asieOUFgZIKdm1e38zG7YEMUqrhmja6skyBu+tyJfPXdXPlmBQZCWADZcQZGKTb0qNjTA7Ev+/xc/s487vhEGk0Jf/v78+sxnPyLRmzrVdF0LB9nekoPJMCx8vI3kF6fRotYOMn7GNNamVRUAPjpFDvVx8gZYEOxORkGAwNBfl8eRsqA1hhzSFJrkvPMCMHmuiZP0u+GIjXrDkTNmL3wYEbOMl7kTIlahfr9avFcqSpA3GMdYteju+HXaQTA0w3FD4h4fCmnqJ4LEPcvLf28lZ1OS1LfNxuy/9SoXQ/ztKgXfblxLCIKw/w/zEP2u/MdkcNy44gSIXpBxX3mM+rBTJVPxnhKLXgLg32xOrz4mRPwmSPPBAB8a9rxeLp1svW9vgAiM8wk+EOY0zvofG0SV801XoO6Dr/+dwLbehTERvNxxnvm+U9FlRdLNvIuJcgrKlJj6zH98mlAvfezfijiyiIK1HoVTGfQBwMsEonIGYCimjO/8MqcLlAFeaJAAaDnqf+0RgoIEVwo4uIYhDjmHvka6opStODhhUWbo9Z2NGuAeanVlIBs9ld2c5XXugCrXrvi9fj0kWfiyukngBKCrBrBLybZ6bt6n5ka63uXIwYhOasxDhQ5GylpjevXr8ef/vSnYbHFRJCokPvB5yZCQX5fS0sLLrnkkqL3qzn35dL+TMGQUhg9enRJYldN5KyW5Gzbtm144YUXsGzZssD21BLbtm3D6tWrq9qHSQ68FA+rgWE2ow7ozGQ1Wx76HTOc4/jx0Tx9avvcSUXfc2PGaNNxkNMa/TvW3Yt7oPVo+PYLTZYjL6c4RVXggnkaRif93WtbelRs6FRx2cNJRJv5/aEP6FWlpviJnGllMsTiEYbuaAIrhWjHqivXILMt61+NUGTXUOFYGzHVMY4qHVMmOUutSfmuF+L2cPKt1Nn91TISmXlozHRcO3UedEXBzyfPQUqJ4IdT5xUfn8CKnL32riOt93fcJ2qVfZMhUbQImyx+61C7YXiEUaxJtmDZh+ag5YTyUWIT7vqcQLLs0sKEJknpP9c6GZcfdjJ+dsgxiChAtCWKfKPzmb+zr/T8qVNYXldmawa+ox6U1y0yCkuIxoy2xsfHkRLEeWX9KPxq0lH4+SFz8GTrIVja4D81nurMV0uPrOtxZ5Mz5++u5Ha99ukEYiKtsdBdCJSKKt+//f38O3miWrVv9fHKJhCFAInJPK0215H3L+LCYDFU6lGLOxR29RP8ZXkxOUrl7do1PUd9B4QdkTNmP8sMWVnUR4TVjYjCrGhXkEWijTuZZw9HjRD0q1HfY7egqA5l5OdbJ8FI8ntf69MqaGQ+MhCSsxojSCSmlqiGIDzwwAMlPwtCXrLZLGbNmlWVsIkfBIkKeU2iMvkIWnPmRb6DRM7cZCoSiZSU0h+KnE2cOLEkCasmcibbWCriNH/+/ED7TiS8a0b2FxYsWICjjz4anZ2dwb4oLUu6naJawYyc+UpyYgwRRdjDiBU5i8ac4+rBsYfhf2aciC8bs4fcZVw8sM0UqP4VA9yaAIX4Ro6v4JoRBi8nJGgP6dd2ROwUp16tqges255GD0dNKzHVnX2khroo3/6VRlukZ8/je/ytyDK7vstMjaWK4nBm/Y6p/zndOdcoDdwJWf/TjYFaPfSvGAAYUDc1YUWqMtKq/tLGMVgqfutLLRPxySO9e/apCkNcPPL+b1/xPBZA4dvyr2TH0YSptNc7tRXTvzQN6+qacN0hc8vu0+F05qloD+F/TJuIUgNjRGqnRhRsSzRAVxSY3Rncinof+U0DSsEQETMAWHX1mgBRD54SC8asMWSen5a64h281DwRv540O5hITIH6qoErR84c91UFt2vBIIiNEpGzzkKgVFRNumZxZgqC2NcpGa1s/iCEoe4QQc52ZuE7mmemhhM768JNYMvhmOubsWSrRzQ7TyxyZkr0+5obGRATt7gqRc6qRUyV2jjk/PmLBY3hiM8w3Lio2MdJKVF8dtYZuG1S+WfX/WMPK/lZ6jC+iFYQkbOg9dMjASE5C4C77rpryG2qFZioFKVEKaZNm1b2e5dffjk+9alPlfw8SFpjkIbS1aDafmMyOTvqqKPw4x//uOz2l112GZ566ikA3uT7lVdeqdiWSCSCz3/+8xV9N5PJlCRP1ag1yvssRRDLnTOv8XSgIspubN68OdgXGKw0DbdTVA1kZakX/tiD5Zv918JYaWSMWY6sO+OMEoJNdU2+VkLPmsIdflMQJL8nD60vQPoO5XbVRRliwilyiwMA5RUsSyE2VpCzrkLAvmtOuBv0RtXi850vUQcSVZm1+r4tYTveSlwJKDBhN6CmCqkochZ13e5qo+28Dbw54I/gAzBMgRWxuQFnelPR+ncJ+wjhUUUT3z/cjnYxg/on1FYXcyABs77LtkdOdYqOiuHrM060hD9KYV1di/V3oUs8MwKYY+JDPbb4kDyuVQW4Z3EMNyzwv/BkuFK+fEc9KCxpdjuCz23xImeVoH/lIPycoLRrLTIqfoBGFCsyA7GnoHe8qjAkZ/BnzsDqQRhZw/c1W7LFvhfi1E4jNPvPxytcN1cIUDeZawlkd+YAvwIcUiTbjJh7zYtufOvvdXjijdLGpgs2OaM5w1EXPZQ95vUx+4QZvmKl5RFR7Toxljd8XfSMawwp0vmMgIIRYi0WAsDu4+yegpmmBD501Fl4aFzpmly9TiL4SvAU25GAkJwFwEsvvTTkNtUKglRam1Pqe9dff33Z7918881l09iC2LO/ZNOrjZzJdkYiEXznO98pu4+f/exnlhiIF1n57Gc/69seNyKRCKLRKC688MKiz7wadH/gAx/Al770JQClFUOBygisFzkrtdhQX+8trQsAn/zkJ4veGykCMUGUNQGHz2g1WK5F5OyvY6bhmRZeG3LIzh6su8VnDR2z08jMB6wOUtJ5HgoqYYir/NrEJfZT6C74f6IJsYs6lTocNTeClGiZcJKz2kXO3DLfAJDVvM/h+cdqMG8JubedWh/xRRgtp5rZjas1EKdwhN/r5zoHZuQMAIjibx+MMmh5BnVqvTNVV7JB8emyqQRISIv765tbERGpqNqg4d8pYkDnv7qw/Xc7kCDF5Mz8mxD/fO/5lonoPZE7ddmOHD/bfr8sXdeZ2QHrb3lcqwT41j+SeHO3/+ee+3xktmT83WeU8dAzs6MwJqFvqDBdz419T+9Dsc5rMVKux5IsCCK3E/R77f/7JDsUV9AJ4mPjqDu0DqzAkN+X970o89k/t1h/mz0C80S1xC2jAaZtIjWKVAiQEJGzbEeOL9b5ue9F9gEhxKoT9BM5u2dJHJf8qfTzVY6c0RwFUfwtojNm15ypVmsI4qu2tRxiKkNOpBBb5CzgkJR7OpoNwWUiu+/wsTjsa9NBYgreeNcRJRcd26bw57tex+3peGgXul7sDmvO3k4oRcImTPBezfOKHHg1eL7gggsqsqeU89vc3Fz2e0NFNII41bVUxJkwYQJWrlzp+Vkt0xq9ar5mznSqgslkJRqNetad+YU7rdHctxex9SLNhmHgtttuw8qVK/HVr3615HFqFTmrJOLlVQc3UpqSn3nmmYG2Z9L4LxQkRzYgvn5mcerroKQQNis74K/2hDGLnHmlfwVFRLFTXfLSA+/F1Yr/ZqsGAAaMz/PIeZ8a9SQbFZGzFn6OtAG9urRG18O8OUC04dyjNWv1vTdi3w9qneIvV5PZJP/ZVXy+2TEYCR5WAEBcJ3FzWlo8ERHMIc0xGN73x1E45NpW5LLe6U2qz7lccUXOVMIQbeK/cWD5gD+DwCND23+7A7sf34PJad5MWCcEP5xyLNYnmnDvBDvS7HsYEIJ9p/Day9yOnHCW/X2VE2qGRr2APVJfLvleM9OLg6A/S5CTxuLeZzp93/e85sxufq4RBT8/L1MUTQ2CZS4lPi5yU96glCtBxkohJKrDFr9n51Cp1cbz66P4x5tRxMbYio2VLMrIaY0xMT5jHtHyUmiQbitCgMREft/n9+RB/CpIMpFtoQLbREuPIDVnpTCYJ5ayKs2K56rP9Gp3zZlBFGxKNGFFfSseHzW1InvkyBnJ+3vOuy+p3CD8J1OOBeAksrl4FI9EJuODh78bD/aV7v967GS+Hy1hP1u337sjTGt8O8ErqgGUJmdeDYVnzy7OqX3ssccC2dHZ2YkvfelLeOKJJzw/rzbNcsmSJb63rYacXXrppXjnO9+JF154ASeccAIefPBBzJ3rXVNQLTmTr50XOfvRj37keO3e5sYbb8Rpp52Gk08+2XrPL4n1qjkDnIRo9uzZuOuuu/CpT30K73rXu3D77bdbnxmGgUgkgrlz55YUAwGGL3J20kkn4dFHH61430OhXP1jLaDrOu655x6sWbPG3xfMmgHGoJnkLOC02VJHURcrHoe7PCTDh4QUObPlvf3GOYqhEIaoWCVeIjXH/mt7xEFMy5ok7rGpvTzCIEsv/+m/UtbflZCziEjbM1K6775iVg8pgTxRisjij871nr/d+Ot/p0CI7YgPSPmjap3qb8WawvJG7lzI76eKaz1cZPDFXXZKnZ7xFxVmFFjbzX/Hln3cDveKvuo3cuZSa+zNKkjt4wtDOx/oCCZQ4oJOCF5pGoevHXYi9kj3SpBxpMUjUGIKaIEG6uMFxtXjHlr3Eo5O9wIAuiMxxziq5BK+tlPFF4441XodaVR91pyJPoumww8eYZjQRK2aqkrwY5fIi9Y/tPCOO3JmOtY5RXWkC/t1B6aNcj4brvxbnSUKovVoFdWueaU1RgKQ2KQ0XxMA8XGCnHXmLTGdISFSUIlC8OomboT7PhtbT3HSocGyOZ5cHUWXWCSa8fR66GnDd5qlldYo1ZxRQvDtaW24Z+KsQHaYILBrziY9u9kWuCoD3eUO1FF+DnbF6rC6nteLyfWShXgU33uqDpQQbOzyvpCHthpWlFRLuPy6gzCvcXg6xL6NUao3lRdJKudc+8VHPvIRLF68uOTntaiB2759u6+UxWpS1y666CKL7Lz66qtlt6225kyGFzlLJBL45z//ibPPPhtAcVSrtbUVCxcuBMDPr6ZpFUWq5OPLx1iyZIkV8TSbVn/5y18G4J/kDFfkzA9ZP+yw4kJdP2Pj5Zdf9kzvrDUuvfRStLa2oqenZ8htGQMy2zNYdfUaKOO4Ixw0UjWpmcEr42y91DTaN5hddxSRVdIqfPaoChBV7FXUP4+Zhk90bcX4QhbMp8/AKAM1GFoH+ZJ6p9Qw+L2z7J2890gdf3492HxkkjN90OANRX2g99Vex2tTvvrIcQbW7uN/T2mhmD1Wx5rO0o/AR8/rxOmHcRJjpkEyQvBC8wS8q38PTwn0m9ZIGZhKrGumk8pqPRTi/Naj4noBgJH2GZ02GMywndlY3SSLa+qaMTvbjw0Jf2NTIUDCJbSgyqvnAdIa3fBKASMkmLCMRgnUehW0QGFkDah1fj10hvf3dgAAjsr2AwAeH32oY4tKFuN1CvREE9BBEAEDUf2JlFCDAgZDdHQMud22OIlCKovgmcgrKkhDBCzF71OtV4PKymdLuGvOTHKWV1QrbQ4ADmkZ+uaojzGMb3TaP6GJIW5GzjoLgU70calujNFyjrTGmMqfhUEiZzHpdyiEL8REmiLQB3TfyrGM8UgtUYhVi+se059tK+C7Z+cw5tstvm3b1a9Y6pyxjIaB5f2Y+KHxQ3yLz0NWWqOcEl8lGJxtOPra+9ByYvn5w03OEtTsS+e8P+8bdxjqqIFmHwWDlBEo4l4oJJzbV1OvfKAQRs6qQH19PX7729860hNlMvTggw96vm+iFuSsHDErdVwTfoUs/Ap9lFq98aPUF4REVhs5k1FKyl4mJeWIqWl30Fom9/H9phJ6kZy1a9fi6KOPdrxXiT1Bas7KYc6cOSX3XQ5bt24NfKxK0dvbO/RGAMCA7b/dCa1XQ34db/BTlwhKzrzlhXfGStcVlDSH8bQWwJnWGMQ9+9ThdjQrQpziGCtF1OuEVJevPl6M8VqYPY/vweGrdwHgEuZnH6nhhSucDZGuPy+4YNCH7m/mTVwzBo98+HDU3NuYKY3y71QJ8IfT9+DGs/rx1WP6PfdDpAicHJ0wmyTz/m5+6oW4qpoSUxCFWeuhFImU+IH7gZ1So/j5IXMse/xAtlksWFs1XVdNPwEfnf1uZFV/67Y8rbHMsXwOTC/i7VXbSQA82O5/TtIpoCb5eX7jK6ssSfMh4WG3u0dVJYvxVIji3Dr5KACCUPtx9HUgPiGOxKSEJSqjE0VEdYPbISMnjSqtb+hFPfcjKC5HziIML1wxiPsuTGPmuKHP9bzJOppcNXPj6w27xmtnNpBj/eNty/C/u1YjAgZK+NxoLWb5vN1+cE4WEWmuMDMRo60ixXpQ93ffM/BrpdhztZucxUo2cC+PlHR/Gnl/82KpyFm12NSlYmmjLXuvRIfeZzE54xNRzjUnPjx2Bn4//gjPfm9uMNiLaH3EOUcE6ZE5UhCSsyowatQoXHzxxfje976HMWPG4AMf+IDD2f/0pz9t/e3l5PrpJ1UtyjnXM2aUVruR4bfuaDjI2bXXXlv03nCQsxtvvNF678wzz3SoMpYjZ+Z2fm0qVXMmj4Vy59uL5MyaNaso4hSEnO3duxebNm3y7HNWqcrieeed53jth5yV6/l2oMAYK3LC1BjBURP819CNSjLsGfBQL6zo/mc4YRJ3oCLMdvSD4JMz09bfigLEpK9vF42Rm3QNzM9PZHxVcsd9HdZbaTWCb74nh7mTnDtorGAoLd0ZhS68fyND/T1kXQ9ys3+bfLoVBRhbD3xqTg7nH56GF1SVN5vWUzoUzf4tJmlguj9yxnQKI2Mg0qgiQWxCvb6uCU+2HoJfTTxyiD1Idnv4PWaaLdOZP0dfstl09M0ifLdK2lAgUp8z72P5TI3ViveheCyW92YIvvUP/+nABgVyHTnrGIW9/lrOeBECN5mmAZrtmtgheqANisgHT0nzYY9BLcEXKqnGKgRVpTUCwDfHzrP+1vqGjgq5P7YiZ0RBXAXmTjLwgaP4HHXb+eUXZNqmGmh0Nacfk6RIHsrr/HK7chWXS+QjEUAiZzGfw/oDR2lFkTNASrFO++y5aKY1EuIQTZFhHmfe5GCLqXIU1+99D2aPFVMQpFoxEBOb6pqwVTw7zNYw5SC7A61aHi0G95+y7t6EAr7ImfT7HlrnmiMOPm4WkrNqYCr3JZNJ7Nq1C//4xz8watQoz22HipzJzn01tVu/+93vhjyun89k+E1XLGV3KQf/V7/61ZC2fP/730c+n0ehUMA73/lOALUlZyYR+cY3vmEdp6mpyUHOykU4axU5k79f7nilroWb6AexZ8KECTj88MOtND+/UbxyYjPu814NOfv73/8+5HeHDZShN+e8HvV13k5yKUQVhoG89xcWi15SGxONvh+wZr8eezWWBFrFV1VgfJJfjyPH6FYPL0CKMjH/USq3I/uOmayImOkpHfl9lfVi1IUHY2QMf+TMdTJMJTH5mikEICqPxDR51AMCgBoBstuyyGzPOhxgc7XZd1ojgLopdVAiCuKyEiEh+PWk2Xh6lHefQ0+bPJ7YumyPH0g2sxr07ou50uo6JdEUvypp1IuceYSEfvNyMIavuaYdPePzWeYx9t0pV36CFadMd87Dz6zhzxUzDYzmDF8hOKbDEpCRr5lSg8jZ+mQzpnzuEAA8rTGo+2GqvOYUFTHXFH7ObB2nH1Y6GnfpKXk0uchZY5whIlRIjRz1d495GD0gqnbMiHnER1rjuAaKaaMo1u2zr7U5bcgp1v5qvJi1wBUx+z8WRc74v/df6L1AVApZNYK/jJ7GD6P7E7rpW95vKX2qrPr73o2XG3nNspGlQ44hM3LWoufxx/UL8Z0dXPzNfY+ZoD7asDDYc3yfa2WH+WF3IwwhOasCsqx6NBoFIQTHHHMMvv/97ztSGoGhyVk0GrWc00rrl9w2lTqufEw/8FvnFJScyXLsQ5HIaDRq7aeW5MzrOID/tgDm9n6vWSlBEL9kqhQ5c9tbCVncsWNH0b7KXZclS5bgsssu82wvUAk5K3XOh6N3oO+2DxToyzunyfokcUgtD4WoCgyU0J8wV0BLPZSKwOy0oohDEMQ/W1QUgoc+1IXPzEzhVx8axLQWAydN4+PFjJrEqOGvuEcSuzCh1hf/lnxnAfnOympFDbH0TTXqSxTETVJMJTGZnKkKQFQCKKWlyCMqQKIEakJBRErVsSJnftMapU1iJjmrsNbDa91GtscP5O0cUvoVgu1zDu4fSiITflPSXtte7IoMlug7FwTXPe9UVTZ8iqZ4pzU6bfzn2qGfn3d9wtvptgm+97GKzBHCEgAc/RarrTkzYabs6YP6kAa5H6lyzZlXXVd9mel7VJIhGQOmNtjXhQEgEfFbNeYvf9RjE5MAB4mcjWlgRfeYWedpqpDyHoFD70vuSSc36pYRN9MMK/DENXMM6dQfwTcYTMPfOcDlI40K5qGTDtVx0TvymNjkvLnTItVSTw99j5nk7LCsM/U9W+I56IdbUSbVBrtOaGrj/unBW0v4GhJtbW3Xt7W1LWpra7u/ra0t6vrsU21tbQva2tpebGtrO7nUPt6KKNWg99prr3WkNAL+as7M9L9crlh22y/chMtLJbKcTV7wGzkrtd0Xv/hFz/fl8+fHFnObSgVBPvGJT/je1q/zbtpUrSCI3++XIjnVRM7c+5Z/e7nzMHv2bNx5552eqqO1jJwNR/+8oVpMmPByLpNBI2cq0Jf1/oLpFEcDFFaYZ1YWlzhrpv/xp6jAYa0UPz21D5NG8bSbH5zDHWzNsof5cvYZZTAKzmtLvYqQGBc/qASGCA3Qgj+b3FGYnBc5IwxE7LdULYqqEpCIAqISyEPTilTp/iJnAKzl9witbsXa6ww67PEBZ1pj9bUnda6pe3Oi0fqb+qlbNBg+9HCxkFaBVXbfqy6ycq1EFg2fkTOvsJi75mwofPzYAiY2e18Ti5xRnw2NjeJrVqvIGcAbqgOi9m+otEbX53GZnHnc+hfMK/28NonTJ4+wSaxBCZSobY/f9GriMiwjyILZ38xPnzNV4dejPmqPE3dao54y/GUVgC/sAEDE8CZnk4Roiju10w/s9Gr4iy7qzIpAnTLIydkhhfIRu7OPLH6ujGmguPEjWXz//c5FGVOkhN9j5X+PSc7caZWl7jG/5Mx0g9wVA/pg5QGPA4Uhh2tbW9uxACa3t7efBmAtgPOlzyYB+DCAs9rb289sb2/3r7v+FkCQhtOtra1F75UiZ/l8Zek/gNPBXbBgAZqaSqvm+HV6q42cffnLX8Zrr72Gjo4O/O1vf7Pe3x/kzLTp2Wefxfnnnz/E1jaGK3Lmhnm9/P6mWkfOvvWtbxV9x72vK6+8suw+Wlpait5z21ktOat19MzLZi8wxhySvgCAmBqInKlK6ZoAs17Mb18pxpgVOYtKqSknHqrjeyf2+bNHJSCEr06rCRWM2Q4IJQoMEKiw+ymVBQWoq8ZAd8sYAwADSpQTDH0Ii5wN7TgCxSQl65XWqABEAQ9FlbiYkQjfhqgE0ZgcObPTCAP3z6E2GXrmi4NDbFwMr6M5Inm+GhpL+zPsMVQKHz2m/NxUlBhBCAwzyuNDgMNrnGkBm+OeM1vDsqsG8MY3++GeuZc2jsXo03i5gZHz+yz7/+y9d5wsR3U2/FRV96Sdzbs37Q3K0lUOK1BAEkEySSK95GSMDRgsgkmvXxvbYGxsAzYGrBeDwbxgTLAN+AMHLEwGEbSSEIpXKEs3h807oburvj+qqru6p6enZ2/37Fyx5/eTdu9M7/SZ7uqqc+p5znNaX4uKFXSyYkItnl/jx1NSY1WjPCGEL57iEvkcp927SkLYgmSoc/1S2+SMMF/51bRrzmwVB2ox41Z7XIDYAXKWKsEXomUO1SiMrVuPpKA1WlQ+E//zykDJV/8VLXc3D1Emm1b/4trbsG3/LIDWmrOnnSbX3LIN/POrllo+I8mCeSilIAha0fVBrzVuMcdt3CNYVvv/UbRPb4KJFKq6OjmLet0OOUvVPkMEysOMAr+/4/zgrdVVnayppdlzuQTA9er3bwC41HjvaQAaAL6pULVqxv71taVJzj796U/jcY97HD7xiU/guc99LjZsCHoJRZMzTdvLCjk7/fTTW95/05ve1PVnZlFzdv7552PLli049dSgl4Z5/dKIQegA/e67707lj+nTueee61/v4447ruPf5YWcRa+RPk/a75Q1cvYXf/EXLZ9tfnchBLZs2ZL4GXGJTpa0RsuyMk/OkjYtQhY3pAsUjpc+cLQZ8L6nxAcneoG1ROegSPujF2ITOWMU2DmR7p5TCoDIgIwWpOKbudDqRqm8ni4o2nsw7LhTjaF7EXQHNxrmKWgrrdJeFIT0G6QaF5hC+NSpdn4xJhMzwgiYgfp5IVpjCoc4UHeBL95sw3UCStr5m7vf0ImLwYIgDUCK3EMHaE878ijEPQuhz4izqeHWL/nsM5v4zYvkJuJ4zKqvEyvRTIkKReaLu8ojnf/OsO2jHNtHOTYPidgEgSoEw2/a28liaY3dJmft3/ORynSMNAjI5/7O/30X9vzLXgBy06Eb5MyiwO9fFc+vpoX06Kt5xBnLsziuIZOKOmWxwTwhaKlBBYB3PDmIc15xRoDguJyAUOIj7XH1iHFORdkHPq1RI2cpbh8jALxwY2ydSOgaSJ5WeEcA9/3V/ag9EnxPE1UusDCF8pQN6UWmgCDR452ZqADkXBZdhuPydbMG2Wzd8ckXL+PcKRd/9FQ5hqJECD2HpLk+OtmK6hi3o/d//qbOtaZCBCyIPfMUt1bH8dOqUpE8BtUa0+xljgLYq36fB2AqXmwEMAHgKgCvB3AtgL8w/3h6evq1AF4LANdeey2uuuqqo3R5bSwu8XBdF7t37445OrCrrroKV111FRqNBj760Y/iy1/+Mt785jcDCNdc7d69209QHnzwwVUrOc7Nzfm/Hzx4EK7r4td+7ddw/fXX44orrsBTnvIUfOQjH/HPqY0Q0ja52rt3LwYHBzt+171798a+fuDAAf/7HDx40H/dlDM/fPhwR8n+xUUZ4H7+85/HK17xisRjtemkYN++fT469Xu/93s+1bLddzKRrE7fG5CNrdMcZ35/QCa+u3fvxmmnnYZbb70Vj3/84xM/p9FoxL6vr415njT+mKYTusOHD4fOZ96nuM8855xz8OUvfxnFYtF/P9qkff/+/R39aSdvPz8/n7o+Mq15npfq+nhlr2ULqznIsXKEAy179MAlp9Rwwz2RTZvBJnZcuAT8Q6tYkA7SmOBwRef5RLgCXnUIb9l9h7/r6RKKxuQyxEkpg8dTHLib5b1eKi6CD3LUHvQAyMChSSjK8LBQmkdjd/JGkeACb7l+EH9kvFabEFiaXJKoCQGITcGHugs8THPUuuxMNLF/YT/IcnKS19gSZh74O7oFD4AcR43JZThKFKVtgnWqA2dS+f1NB/p+63oxr+LhkHMQdHfyXO0Ne3jfN4bwqevLeK6Bdi6NLSK8nHY2Z7w1AdeoF7c8uOg8hrgjcFJtAG/cexfEv6vPTUDO6HATQFhx98NvlrSoJSGwcZoAkb70nBHAA2bJHJZ3J1OnBBcg2Bx6bXexuwbtjXITS5MySWD2IBC5TJ4KtpuDzVTPvbul9TpHa846GRmUPl1wQhk33R8OLnXyyhnHweUDIG0Eg7R5gx5WSB1Lu4JrucQsNEZX0JjwAHTebGJM4Nefexjv++bWlvfqk/KZ8agLjyXPjXNzAwCGMNms4f0PzgSfQSl4yfXvQ9QIGYYwFC5/+0WHsKQuaXWY44PkMN7+2XE0yh6WJpdACoCoAfWtKdZWAdgiTI09ooRpvPEaliYbEMMAkLyhTooeVrYsQwjgr195CG/97AQaBfmdmqMyJvCqLg4sHQCpJ98zJyIG80hhwKf+ARKVN69Vs0ABpKPbA8Fz7w04ONhMMQ9t9YAdg8DtwWs0JosqFgWglm9ecgHIjdErnzKLK58iX18C0BwpAQhiWD2HeIXOY2jPPhvABKKCp6lrr2PMIwJ8qAHzHuvnrDEWHzettU1NTbV9L01yNofgyR8GcCTy3ndmZmbE9PT0twC8K/rHMzMznwDwCfXPYy99VRaHHlWr1cSLG2cmvfEZz3gGPvvZz+L000/H1NSUn6yNjo52/bnaNm8OFrnt27djaGgIX/ziF/G5z30OL33pS/Hwww/775vnKBQKbemUExMTsG27o0/t0JFt2wI1MvMcmzdvxje/+U3UajWcdNJJyV8MwMte9jJ84xvfwMjISOrro5PCLVu2+A3CN24MGja2+5ypqSl85StfwdjYWOK59D0TQqTy6QMf+EDo35VKBVNTU7juuutw8cUX45WvfGUsBdb8PnHniaqEDg4Odj2G9P3btGmT/1qxWAyhTHGf+fu///uYmJjAVVdd5b8fFYHpdB2B8NjVxhjDE5/4xNh2DO95z3tw5pln4kMf+hB++MMfht7727/9W1x77bVtz8UYS3V95n8+D4hHQq/ZoohGPX4RYTEAWXnJQmFX/M6flkG3hIBFrI4+NQ41MfbwLK6a2xO8RhmGZwdgP5QOOSs8VIA9R0ALDOXtZaw8vAL73mBq1ots+UAFmx+3qd3HSP+XXKwYG0IAUKoXUbi7KSXoywzFyQJqD9XaTv7fe+MCfnmPi0cXGd59Q2twIogMaOiDDBsGN6AwmoyiPnpDeBHWyJllCLtU91dQEg6ceRf2WHziX3qogOKSrGUpGUulDorILME4nUBlKjngm71xDru/28TX7/wWDqmA8YLjOKw7Cvjebx3BT3cX8M7/Skc6oYdal2wf9aoRULfzuK7trmPUnQ+9dttA+znnjBiBl+pB6S93OKbmW8edIBSAh+piFZPnT7S8H/J/yW0JEh1C8aHnruB3v5ouSbNXCr5PcWzCr84M4gocAR6m2LJlS8ceowe+ebDltW4Dx0HHRmVPBZ9+8hzOvj/cJNgXYqgDk6VJFDcmIwMHfzaHv/objqcary0zG9WFMoasdIhykQHjc1V8+lmzqI4yvOAzwbw+sKKu81LnMTQ0JIUlJtxwvNCgDHbD8u9D1CgJAxhDh6rgTQ+syFB7pAZ7j9pEWWCoHqyCWhQcHgq7bExd2CH2aHCcNBQkro8WKvi38e0AgMHFEqoHbQzUOrMvrEWB0oNlgAGl/ep+L8rvtFKXm8fkMMFkZRLFyeR7tu+W/aF/O5Exx4DQtXJW2o/JZ55cx3/8MrwG6s8jhykmrAmUO81DN82BzjJfRh8AaMyGfMUY5oVmMN9E7+vAUngu0usGWSBgXvIYeuCwHENR5KydlH4aEw5a7rH+fGtv5/i13yzNVtANAK5Uvz8VwI+M934E4Fz1+7kA7s/KsX6zo5G3T/qcV7ziFbjgggsAZC8Ion8fHR3FG9/4RoyPj+O0004DYwxnn3126O+SaGNpa87iElgzEQLC1DXLsnDllVfimmuuSfX5J554IoDu6rvi7lvaflrPfe5zccUVVyQe023N2X333Rfry/j4ON785jcnJmZAvmqN7WrOOtFaGWN4/etfH0qwV1NzFocWe56HgYGB2PH5ute9Ds973vPw5S/Lbfurr77af6/TmEpN1eUxNWc2Rb3N7Y5T3fLmm22pSwGtkafbuRICVjN8b+uUgVGBszemG4OUASBE1nUIAQIC22isrRfZNLRGiECtDQC+PrYNhAD1Aw1QW9KTvGVPImhtYo8TJjh+7fgGnrgjfnPI67LmLHqMXvBDp3c5SIFCcAFaaLMMUgJWpCBFGqLwhMQc0owjIfDse38JAH5Au3lUgJUoTt3I8crz6iH6kGnPOTVAoF940jJEzDMSVmtMt05FBUCiDdHHK8H3suourpiKX5OEJ8Bims5y3ZMrZY1XNEh0CcWF29PPYeafxz2DDy3KMSCV7br8QGXdNg23XI6le5YwXhEtY9uvp/Na+yjG2XfutvBAhJiyTC1YND2tUdMsf+2EJq68gODsSYkEESJCAhxpx1CRh+9tnbJ4xRplUfaw8DiWtYoelSI9QEB504I9Xgpq7PKKwL55eYJ9dgmvO/lSHCzIZEWrNKalj648tAJmU9hKJMV1BQ4uESy66jlz0tYJhv8dfeZaSpkTahQfv6WJ8yO90ML9Fjv7Aw4M7VvA1+78lv9SnBBVUt/CkDUitcZdCBNFm1D7H3kUvX+FaH0WfHr1MUhr7HglZmZmfg5g//T09A8AnAHgy9PT0x9X7/0CwCPT09PfBfBqAB/Nz9W1tbTBXCdLUonLoubMTDziqGDlchlLS0u4+eabQ68n0cZWW3N2xhln+PLs2swAvFsVvtWIb2ifzJ3Sdr3oVmPap9X2OUt7DfRxO3bsiH0/C7XGdj5NTCTvfMfZamrOkjZA4toxaD83bNiApaUlfO1rX0v1WUA3Y7o13hAFhlobmW8aU79UKlPZuDTG9AJrIWVgLQA7JjmzKFAtAfe+YV/Hj7BLFKDED34IBSwjQdE1Z14j3TXSgfVPqxP4u82ngRKAMgJSoKAWsPJILSSPHTWmErdKpY2iZbc1Z5GFeN6Sib2JzvBFF9QiABex/bQApf5VpKBFGgr4QzVeKYM0L/J8UktVwBGiaH2t9pGnzeN/PyFAA95/xVxsfZzXRVCkPGqR0I7WnBGjuI03OT595SG89uLW5NmZc0Bsgk897UjodaGTszQ1Z2gNRBxCMWi0OHj7kzvQa6HEe7iIVeULJbBpHrO4JtRdBo4FwkFtCkFb+xAGgiBI1TDN8VoD6WXWXc2ZL/RAAKvC8HdPkvds02CwQRHXDDxq+rtUI2ISDcIShRtaRq4na924y2Vdp35ZKQpSW9ecdX7Izv9tgLZRQtV1SAeXOl8oV8h5kVYYrKI8v+MBO983jHf+p2LJpEyoWz474lf0UY5K/b/3GbXQsTSyCeKYta8p+3id+pMHQ/+OJtgAsCOmxjTOvIPh+cCnWXZRc8YiB0av0a/FqEW2Mw7Soryrv8mxmJylghBmZmbeEXnpdcZ7v5+pR31qWSFn11xzDd7whjfgSU96Ust7RxvoA+HkrF3gH0cRM5GJN73pTfj2t7+N22+X5OTVqjV6nteS9JlJRFoES1tWydnFF1+M3/3d38V5553X1fnj7Gjl/du1Y4jaTTfdhL/+67/G+973vtj3s0DO2n3WK17xCvz0pz8NIVOdLKvkTI+XpOQMCNdvprFuNluivHhSTEDOYh65QoWGen89fWcTuw4y3H+IGTVn6QVBCpHOunXCpLoiISikuM72AANxHbnYcwAEsIutyFkapT0gCLr0LqVWgqQFCmpTsBKFXbXaLpDNfXUwRlCpxidnHusSOYucZ0HVeRDjdb7ggB5fkMl3u30pCrASxdA5wyh9I3i56x1rAG4ksCdlBgIBViBwGmoXPfLdqmUBk0nHihQiJr50ukw8gFYJ6yS1RmYRWGWG/3NVDYsN4MXnB3OdM+eiMGqjFGnkzfU9S4OciVbkzCEkJC++aTD5QgsB1B6pw1t2YdHBlvf9ZEgpWpJO/Z14qz+8y/YHBSZAlOBOiz+65ixloE8Qn5wx6rW0Dvj4i5bxrXts/PMtYbaB5wg48w54g4OWmN9ja+8Cxc37LDCke8b021WvdZPo7v3tNxtbkTMBWmQQjlDJmUquNHKms2yXy3uWQEW9by/B8W16iXkH6sCUjQNLwd//68vm8ZW7Sy1CEy4IqAXQAoUOXZpK/Ml/zlL3XousgRH/o2h5NMkO9YwjaNnB8GtNXQG+yuTj+tEw1e9F5zXxricu4fHDBLWhEvbMJ9SitvHHS5Hg+yIrMYi5aSPl9N9LiNZ2Cf48162qbh/Y6jHEXzHLCjmjlOK6666LlXXvtiFxnJlJVidevWlmEvXhD38Yt912Gy69VApzrjY5i0MAo7TGbiyr5IwQgr/+679OLSqSxqfV3rNqNV2tyTnnnIPPfOYzbXnTeSJntm3j4x//eGr6KZBdcqZ9iaM1Jo0fXV/YzbniD4x5rcDwW4+Lp+DFCf/ZNsAMIv+GMYJffLCJ3W/ZH6I1pnJHqAbRhtUpk7Q7SuCueLjiuORWHKXJAkCB8vYyipuLACOwSgZyphf9FMiZEAEipfEfSqQymEzOpFy/NWy17Pxq8xYcUAZUR+IDO71xnkq1Da2oh4+cGR9vFSEDQx7IiAPAaaNB4jE2IBtqs2IQqAFGkKaCxs4OtSZnbIBJammBtt/VJSTUG46VGayR1udABzS1evoAJHonoshZKJYhAC0SVG2Bjz6/hkuOd8EbHNzlsKoMpEBhRVBRTWv0Gul8iiYeLqGoGNc8rn+WaQIAb3iAUi6Nmv/9UrL2ord1NUIFRSrkmI/JmX3FT45UDhEIqehq2CGrBIuKlqD+f53j4P++oFVcSwigvrcBwmTyUaDBNX/5F2X9WTfI2QAPrzENyvDC8+Tz0zzSRONQeMMyNjkrUXBHNtjWUvg+rdFHztJtOpjqtaY1VauPJ58s/T1vYxPT1iL+/ILDiJojCEiBwR62UByQF3bFCSdnvItNENM6IWct4VrkHC+5NPqMBNRYpFHZ5AJRjP5TG0/xf3/lhQ1c94IVbBgQeNXOZbzzKY3Er2lF5Bp1DZzXBa0x2v4geu/StD942bRc7156ynLLRoXelFlt8rqWtp6cpbS4RTgrNE1bt8lZtH4JkEHsPffcE/teksVJi+uAf7W0xjjkrtfImbZuEtVu7GiRs8HB1l3e1Vj0HmWVnK12jK+m5iypPjDuOsWNrwcffBB33nln26T3E5/4RKx/7Z2Kea3E8IdXLePLLzzS8lZcYFiwZGDtHzNsgxYZnHkHn36lDKLstN2MhUDBCd9bh1FZO0bkOP9/L1nCe9tI9wOSRkgZQfXEAZSnyiA03MfLl2hOSWusKkECxUYKJWeEydq2sceNAkYAP1QIPpvZkte46bx4xTm/bsDlqTasb94dzCu/qIxiV1l+rjkFWCUmaZbC2KGXR+Fnv3EAt3zIwcgo9cVHTLqMprfxpki5Iyta+huxAUsiRgUKePG0RgGEKJe0LOlWUfNpjWkDEBEXFEXQBgMuJgAIo34LB2/Jw9K9y/BWPFhVhuJkMdRqADDUCFOOoT96+OcRf2SS9bO3LeCnb11I7NEFqISBSNQjjj3rHmVg3W29GSBphMSmiAPFu+1zRkg4gX1waAgulbWQzd3x8vhR80BASxTEZmAlipIBGvmJRwoKoZ+cRZCz6RM53ni5DJQb+xtoHlIKkCueQr4in+NJ5Jir2iWiIDPXA765y8JtB2zlE1LdM5vHI2cOYRCewLPPcvC1V8zhSy+cB29yeDFtFVxBQG0Ca8DCyE65hixHkjPhrpbWGEXOko9vHDA2twXwuqcJ/MtL5o3vFYzptMmHyQLZa5f9TaOvv2YRf3FNMI78SxjzscsPrMh7R+PnkLkU7Rt1eBIVAorOQ1GqZ5x94Fk1/NvL5/D26fmWdglBzVn28Xretp6cpbSskLMk6zY5+/M///OW1xhjOPnkk3HCCSd0de7Pf/7zOPXUU/Hv//7voc8CVicIcuqpp+ILX/hCrH9xv6exo0HO8rJeIWedLHpNskTOVmNZIWf6mfi7v/s7nHbaabj88sv99+L83LFjB3bu3Bl6rVQq4cwzz8R1113nC7x08zwP1QMkqkEoyABDgQIXbwtf452TLn7z/NYda9sGRs4b9v/NBVDcWIA9bGNUsTEZT09rtCO0xip3Aa4bJgMDJYKLd7R/RoQnQgkJYQQs1GQ5faAGCFRtlZyZyJlNMXz2EAQhIISAFAgIo/iLKxdw+hYP/+/qILHVtWiUAYUYiqGu10pbU/UX35cX9YBdwv85fjqgoxGCF17G8czjVlCoSFSPkGCHHpDBy5YhjrPPsTF20ShKWyQFvGIEsrrfFW9yWXeWwqLIGR1QjbELpG0DWUIJto1yPHGqhlc+vglWYrGqKjpIo10kHlGkNhE5Ewp11K8RgJUpGvsbKEwUUdpShB3ZZ/P8BD/Ncw/srM2HXnOpvDcnjHOcOMFRNa7/loHWuY3rXmkWBYvZbfcMlCFNw952vfK6saK+XVyAR7jRZkKdmtao5qwFZuOfT5SIB6WyWXoaEwBYgYAW5MZJwZgDAspe+uSMRS7SRadw2EzOG8SmPuq7/MAyvCUvFjmzBm14NQ+EAsWqosUJ4KWfHUAdmq6bjFC7al7QyGI0wD93i+vXZV0w0cDgAOQYjkHyHU7AyhS0TFFV4oeHa0oYJFTbmQ5+tYaCm9NJEMRdcvGys8N1ZqZZJYLLdwbX3E9C3XTIWdT0htGnXrKMi4/3Quh0EoPXW/HAm7yFwq/9WUkhmZAWOUsSSQmOAS7a7qLAYgRB9LaXl5IS30e2npyltH5MzuJstf3Rzj77bNx999145jOf6b+mg99ukbOTTz4Zd999Ny688MJE/9aK1pilHS1y1o/J2WrHkGlZ0xpPPfVU3HXXXXjZy17mv9dp/Jx//vkAgGc/+9m47bbb8IY3vKFrNLh5uIGhRnBvD9glECprtczN9KtPruO7r5/HcaOtn3vWRRXYw0HWwblERIhNQancOKdIh3wIAbCI72NuQ1471biVMKmS2PYzHB6iGNICRalqSsWrICSlmMOAWkD1LiUlAoQIsAHmJ4yEElAGvPLcOn7y7gYmqsZnKzomCAklQb4/1AgcU0Syuo4heicIAT73DoH/e+UsWIHAGrLBKpK2GDkShEg6prZRA7itqxvPGzxVoA+0BmZ2Ve4Z06Lc1Y+bngQIiEXwmacdwUde2sD4pWMt9Y9AgMKQLuoqOiFnZqy3ueoCBKHvag/bsKoWWIWBEAIrklT7yUdK5CxqXsSfMUM9Mk5Nzpl3IDw5zi6aal0fQoH1KoI0TY0FgD96Ynwfr6gVLeE/h9H7a9bCiCQVDWXUQM4+N3kiHqpKNNiiUlzGNK9NQuxySdmjNgUpEDCDIesSIu+xl34TxBRzuH5kCxiVvVKX71sJbQARJtFDEhlzggvYozYAAmJTlCds308hSDAmO4hdLKj9MDum5uyNF6+gUCLgrkDtoRqah5sSjSYAiYFlXA6wqgVrwMKE2k/bt8RCn5ta8ROANWgkZyB499MNdMoTqO9v+Ote40AD77vQ2LSKDBpr0MLIWcFEZDZ9ToWciTCt0SEU73/WCp59lhM5TK4lQojYr0mYYhxE1piQ8nAHd3xBkA7zkHmLXv+EDlkfJbAiGzOazSFS5tP9ZOvJWUrrBSTabXIWl3BkgXpo04FstzVnSYlQFslZN4lQ3smZFld5LCVneSBnaZKhuGcset/M2rNOSeR//ud/4oMf/CA+9rGPtfxN2uRs8YHwgjBrFcGomucNKlfDk4H0lhGODz11HlcdV8eHnzyLj/x6E0+6ODzOdYxLLQJKghqvtMkQjSzENw5vkBQ7KuWnCSXtdeshKZbM2NEduWAYI2cZ/Xa6Qs6Aoips115RohILSkCLVMkxArCIj5IRg/9JCEFxsgBWpijHJGe+uETKoDFg5ISvgVBF9dSWPlmDTNYCGtdKgCBOonNsKHihbiBnadmoUeTMqlogkDVJ7dQaoeihxCLwmlLRLi7/0kER5SJ1DVy0fikaFHFB8K9X7cMHr5jFmRs8eQ/VdxUcoGUmNxeKFKBoTc50zVmqMR1TMhDhB49XgmPKMcmZRGjlRsDvX77Ucoxf45UWXYxcnzkjORsfTfH3AEaKXI4jRtrSGsHTjWsC4ScfLiFwVdTJ55sgFsGFm4P1Z/ne+KbfK45EhUiByM0hE2YgBE2NVHXwx3/O1TX6+KZT8eGpM6QODwfsYUXZ9Z91+Yi1NDwWsvaS2gSlzUWMnSMTTh24B/MQEu/ZvMqV9VXmxsP0u5esgA0wqZZLCWiJgRTk/EgLBF/9tX34s4tm/eNdQjF6wQgII35yZr4HqPuVMhw0a0YrPIweMioAj/stS1iJglXMeTE4VqgXTMaDqUCaNqE2N3ccQn1/Vh5cAddJsICexGONytvb0mJG+1MmnQs7fUGQFlpjZL03QpEnntQhpqEEVkRkhRvPWdqNtH6x9eQspfUbclar1Vrk8IFsUA9tq0XOkhKhXguCaMsrOSuXJfdhte0PHqvJWVY1Z1EzhWs63dONGzfibW97W6h3nP6btGP6xr3hqNNf0LgI7Rw2PIVWMYIXndnAp542i+edWsern9T6vfWpiU3QeHglWPRTiicwtchct/k0vPGEi/Dz0XHUHl6R9EH1+AvW/tpUji9jdHrE/7c1YIVqzvxFP40Ahwjum2fSGgGAAJWtZZmIEALKAqqTKatPCFA5oQJqt0nOCkbQmMIlGhOk6RMRKmvgdC0XLdJQYCNCXyAwEznzaY0Nnq7mTMQkZyO23H22ZKbfbigPnlpFcWMRAydKVdfYYUuIX4yfNsGPUtKiQZEngPM3NPHis+rqFARezYO74sGZc1AYt0GLOiEisCPjTSdDadsfRE2PX1eJOYwNBN+rFDc9qcSMMILBCsE3Xh6uB9Xfz/VSJrARmzdgpivOTvc3Y2UukeOYONevheHpKGlmzZlDaZDAHGqAUIIrTwio14RR1B5trUOTyRnD0OlyMLeVZu/w3OvLp0e0vsN1R6ItxKY+Yi6EVGIUnmhR9xMCYAUKa9hCcbLoz0EPz4eRqk7JUK0Z9sfc6ihbqocbF2BlKpNTS86T1KY4Z7yJl+1cxv+ZngMA/NlLXB/tGq6G1XdNGmFaaqzJhihxz+/lBqgpxgpqOYnuKaLfN28PVzXFxjU0a+BWo0boEOLfE3fFC/paalQs5iO5wyVcy1tRNe0PS1FH2Z7WGB4kl20PNh2KFlAttvmeag6N1puaz1laZd1+sfXkLKX1G3J23HHHxSZn/YCcJSWIa9XnLC/rpnF4nC/dSsC3s35LzrLuc6at24Q+anr8pR0XbjRhkvkXBA8nhxMDHPaIrSiF6lCG8O60Mr2OCofDHrD8vmLpAlkBqiL0ZWrh/vIgGCUyAFG0xsrxFYyf0r5FA1F1YKbF9fF6uFXMrI1LCjkzpPSFQp+KG4uYuEwqZ1aOLwc0L7O+wSawKvKFUqsYIURZNRBOqdpGfSQvslKrRILa1K8zowUSrrMhsi4nen3M5KxJJC1KuCI1uhiVjGYQMkg0a7la/giwx2wM7qyiOCGz1nZ7Cg2fapkiaBTA7+y9O/SaXSC49sIAcfE45HgqUMn1ogT1PXWsPLgCd9EFXCFFblTCy6LUOlPEZRWBo6AEXsND/ZEahCcwakhql6zWiyDUg6kD3FM2eHjgPXN4xklyXtYbB15KcQlvJTx/auTsvO0etoy1Hr9t0MWNrz+MH715wX9tvCwARvzrZJr+BkQAXooxREiAdjqE+t0ibEuO6XGDJkwtWb8UZ2MXjaI4KceSKVIEGNTPlMmZTvD1vV5xENS+2kRucnA5B3JXxKsTUmDDUyZR2lLyRXf2LevkTP1BByEgP1nUdOYI5KSZBITJpvLUluwCiaDJ6/f66RrufN1+vOgJwb0ghGDYWJ5NGmFa8R3zOEvw0DWgVAozrTy4guasWr+NA4aLxrigRDIjjE0Qk6qbllVgHtWkzD8d1c8OFHGAyDE0VAviGmfOwdKuJVBGpChKm16JlHd+5v3kLAE5e+CP53Dc8rz/76LVOoZCRkirIIj2USAVJb6fbD05S2nXXXdd7ufoJjk7cOBA7OtZJmfdImf6uH5CzvKmNXaDnMUlBHH9u1Zj68lZOuuW1hitd+CQiYzwBGiB4CtXH8Bzz2rgj5+yhKEzBmUgoHZqwUh8jyM/MiOwK6TrvmLRZqsNj4AUqd9fzB62cM4FBfz2ZcmS+qHPDCVn8h+7EnoWmaY3g7X3FCI2AQQCxIyZgiQW9Xfx4wRBvn2fDIzT0xrbJWeqHq+gAzWGgRMGUNxcCh8Tk1CbyRkIARSa58YovpnWaAr86TdKfl2M/xE1F5XjKyBEoQ0xfyuIRPjKU+XgtTbn0cX9aZAzzmNk0AVB1QhEhaq7oxYBVwE3qKodtAnAgNELRlA5rgxQ+fem7VEBNk+DMsS9zSjgAdawBW/FA6XAHz2thrddUUPFjqM1SsRIJv/y2RuuBgiT2SA3zQ763q+Gm7k/XJQXp1oBioXWu1W0gKkqDyF8IyWO0QtHMXzBcOtXJASuVmxMUZdHEa6p0tMpU/0EX3BOAy86s45/eMEiYFNQi+CzVx5s/Ryj2fzQWWF11BASk2BBMiR/6gDYR84UKkUoQfNwUyJoLm8VBIHaKFJJQbSBsK8a64rEwDpA8lRyZr6nat90bE4V7EosieSDqqbTBYKqcEPJDwBMjhj+dNnfcK5GMGcwTO1IcrZjyAOxZMLoLrrqmQM+ctlhvPi0FTzt+CCmoJaaT40PCNXApao5C8+JNZWcyWtkJrQCoACvc7z+zEU8a8cyvvC8WTT2N+R9tYDaI7WW+lf9jNlCotM8oVZQP5ctfc6MlGSwCAwam3VLi7zleK3iKoSco6I0yRBCvY6cPfZs//79+MM//MPcz7OWgiBJn9VvNWeO46RGPnpVc9ZodA6E4xKCo002tGWdnF188cUAgOc+97mr+ozVJGdpEqZeJ2c0UqwvF1C5c8qqDI8/SeDTr2li4zD8nc3CsAWvwdUufvC3Z58ofz7zIr1dSWAVadBXLE2fKgEwL6A3AcCio5QHmVrE1UL+Z9fU8cQTWmshR2KYtHYMfaeEdA2EdaBiImftlMdlMbnA5FB4p18nbdGdTwBYcIygKMUlIv4Oevh1e9RWypQUo48bBaswVI6roDhhRACMxPZjG4t0ctA1UXwleRz97VeAD32nFKLvfGzTqWCAqteS9KGXnScDsZc8PniOL3pKK6rebtgGYyjFJkjMayuc4aLjg7996RkroBYAQpSAjGqLwBQqAgJr0AK1KahFccI55dDn+YIeHKsKioQla/FYmcFTPdVeNXYQv7P1UJu5XPmmxg9Rao+OGgQa3fFSKu2tPBSmBe4qDwefG7PEPv+MOsAFKkYzbosBhXEbpcmiRCAj5vuUAu0M0RpN5KxEUd5aQrFA8ZHnLOPqM5qgjAAWxeVbG3jwNx7FWy+SRVnPuyC8RhQ3RBowp6TG6nc16qG/R10hZ6AyYQQhcOYdUFtSh6OhCQFCyUZ0ag83fU7wJ5osKn+uPMWReUZBthwnRIBVGOxhxXCwEAgWWVSyISJdjH/zmSZSZdR4pZiI3v29QSwbw8gWHJTKPmsA8Opzl+VcXWASwSNyfF1zfA0fvGohrIaoqNbm2FtNE2ozoVqhFiiRmyda5AOATKiVIMhQCfjwFbN4wiZFby5RWS9M0FIXKowNB7jJ4yitWiM1xsRG3kC0erPovy83BaK3Jag5S0dF7SfLJjJ8jNviYnzjhqwC6+jnpU2G4mwtkbO8kzNKKSil4JzD87xUf99PyFmeyVl0sTjaBP+///u/MTMz40vPd2vRcfhYQc4EgMbDK2iIOqqnDsAesWAN2yAHm/4uMBuwpNhHkYaSs+9/lOCWXwKXn6N8KRBYNkld66FNqzWaqmSyloqiuMUOVAYJ8KnnL+LE9wcNuX/y7hoGyq1Bv2UR3PFZ4IxXCn+BLHXRew0was6A2CIqSaeSaMzwYQffecM8tl06DHIn9ZOzuCvQjcy3f37EIGfqTVKgbRtiE4u0BGhABDkDAPX3Xodk6P498htZ6pt9YOpMfHdkM96Lg3LXngDCA/74yhU89dQmLn+8hf/9+EU0Th/HGae2p8RGramykjTIWdxj5hKCJ5zC8R//p4n7vr+AZ57rAq4U+7BHbBQmCiD3Ep8WGr20J55ehJmF+YF+Sqn4FmPEbxDu1R24867sm2fFo9FUU75MJTkSPL5+zVlKWiMtBvPXe7edg4MFlXwSAMbU9olr5jHQbOKKCwhETaBiC1z/ssOoMA7KgnWHxBTKeaoYTTTTtRvQUvouIfBU0mkXJBpEGSRSDzWGuaSGEga88dxFnD9Uw5XPqgBoz9QIWmikRKgjNMK6S8AdIec9VePDSgysyuDu81oaiQsuQslGtEdk2poz/ZYvCKIG5ydfsgwsCP9ZF4Jg7PGjcOYd1X+RyjnbpqBMqjTSCCpq0qx9qi4XqWq87j5s4dnG4C9wDgqBzzxnDnfvZbj0BBfUspTAhtrIUwkYK1N4BqIqNwXkeLnl7bN44AEXr/yS3DBwHZEKOYv22/ORM1fVBUKuwV6Dgw0wX5GYKDAaRG3+KZGiuE2KJqWwuAe3ltz+QC+/5y2HufPRmjOA4MZXHcCRchnHo7Udg1+DJmHYlnHiaVZjuj2ZvrJ15CyFtRtk73vf+zI9z68acraaRHK1oiD9ipxllUy/6U1vwqmnnur3+Dpa5GxwcBBPetKTVj2ePvGJT+CEE07Atm3bABy7yRmJUnzUAsUGLNhDNkYfNxquM6ME1VMGYA1ZvpiDtuEqwRPPI6BqhRk5fxjFEasrShqEmZwZY5oRTFw2jtELRoxjBapF4Ht/5mLbsIfPv3wRZ2xr/9GnH6cCWPVliilWMyGEj1Tpo50D9VjaDy1QlKdKKG4sYuzSUVz2rCGcuE1SsHQtWtwQSEtv0qZ39KPImaylIBidHmnfaoASjJw/3PJyNDlrCINSlGD68bEMpT0AcA82JMJBAUCgYAFXnOiiZAObRwQed3q8f22RM7MxdgeL20F2iUTGnnSWwNUn1FAqEL8PFCFAcUNBKusVaUjMxbTTtorQ5wFIJ1YQS2skUgSBEbgLLur7GmBlBlqQgbS2D1y1gONHXLz14iVVw6cQBgaAEjQbGt1RNNSUYg6sFMx7Pxmc9H+nBCCU4nXnL+OcrS6eutPBE7Y1UawwOLMOGvsbOGODixM2CIi4vgeG6SQi1T0TEeRMS5FbUnwDjGDg+EpA01O1aIRRiEUXl21volptP5czIlILAfk1Z5FkqNYA6nvqEk0tML/2jJUtcIfjky8Ib3ILR4SQs2h/LJO2l7Q2RGvOBGR9UrUox7pPZSTCZzcQm0ihogJRzyGBVWWhpu8AUDRo1qFm7x2WD+2vWVOlaY3jA8Blp3PQMpXjXNV7CR5sKrABKzxH6TFPgW1jwAVTnj+XOE0Br9EZzRNcYNO+ef/fDpFUeOEKkAKFM+tg8c5FsKKkpAquNjz0ZhVVSZmihV+8w8E5k2FmhhZLaq6kQzufsBAuzzl3R/jCEgZsrnJcsM3TLvi2Y9TDZ1+ueKNCXpu2yNl6E+rHpsUFcgMDAzj++OMzPU8WyVk/IGdJAb2ZJPUiOcv7gewX5GxychJ333033v72twNYnaKltizG0BlnnIH77rsPL3rRiwD0T3LWrVojaak5I7AtoDBmgxYpLN0fTNUqjD9hDKzElIx862Jvmj1kozDAgiAkZU8oaqp7aT9jTyOTxsedxHHj78ziqp0urIHO91Yv+ox7qe6J0LLeGiVALHAW9owQKWMPSIn9hEpvfX3ctK0G1E8egXfOO1n+jAohAMAJW+TPi89AcE8Ni1JB9zcMkZIkX5QLmr6jkwTGiN/2wFL94PQYapf8AMDOHfHv+e0YUgRpXmxyJgNWELl5oJFYHSzaIzasIQvWkKQyxnlhTvsmyrAaOtFyqSgD6wpTaB2RffMiPfxefl4dN/z2LHZskc+c/776efZGuZZqVNd10iHUIRqiOZjV7390xRK+/aZllMtEUWEpWIXBmXNBKJHiQMafxd0SfY3SNuquenJOX2a2D5QwJjc9CCOo7KjIVhGW9J8QgNoAK6qELQYR1mbRYLMnfc2ZWu/V43TapAt7xAKvc5CiQjEpQXGDDcEFzj9B3i//c7wwclYNM2OD5z4trdHflCH++CSEGLRl4rMbZC1nCfaQrRJ5OS+QBOQsRGtMMVUThJu9W0KACgFWUnL96jmzBiw51gtyDNECRXGiEMyPgH/vCCEYu3gUlhX0gWNcQDgc3nLyOKo/Go5RBrgLSgCv5oGVKdx5B1bVkuOJEnlhmUpeNe2SKdXdAoVdIPj35x/GGx4fFNTqjTS3A0W/3ZQQVRkOrSMk/O+b3rHoJ23yWAIebeFjqLQeazVn67TGFBYXyC0vx/cSORrrt+SsW+QsjSAIAHz1q1+F67qrCrRXm5zlTWtc65ozbUfbFBvIZwytts9Z1Hqt1hili9xbGsLOAkX1lKBWSS9apkmWWYod+iIJ6oXSyqDra2mKarRLbvTLlGD8CWOpngOfLunBp7O0s//3PwSHl1WQqWmNMVL0SVbeXAIt6fvS3p9OQRoA3HiXwC8PK4qf8fp7X+Lira+KURtR9t0PE/zTN4HXPyf+fcY0t0eaDvZ5p9Y7PnKmkzOV+Foq0CAqkFbJgFVhaCa0QfjNZwKLKwRPfZz87DN/XX5u00df0zxnra95IOG6Mk0TJJA1RCr5AABhxd8Hc2j5YherDIoWqyUIbwWsovpxMQFrgMFxRQg582txCgTEIShtKqKxv+Enle+4bBmf+EU1UNrz0ilsmoFx+EsGtUHlqRJWVAuLwZ1VOAsOeN0DYRJ5c42PiLvmOnD0UiSLnAMjnpzTZ62Cj5zZttxMGLtoVLpHJKpPHAF3yZM1e3UOWiRIkroLIWedas7Ul7GVEtB7rq7jCaUafuO8GhinIAwYOW8YC79YAK83QZhEx6snD4AYUugi0o5k53HhZ0w/97XWrgARf+RPPRt6xuQjIGs7BQ/ojbSoer2VKOwxG+6SC8pkQpSInBljOu36YQpY7CuU/eSsuLEIEAJWobCGLDSPOChssX11x8J4AfTh4IvbI4YjFKA2wbZRhSapDZBO4zqqMFn1XH9I6Gfd35gikLRiv8ZSPWdU1uqxAlWCKlLpUZtGztwOyFm7cIBH1ydKQs9OuyEsOiBnrnvsIWfryVkKO5oasG6s32iNedScAcBznvOcVfvUb8lZN1L6edIatWn1xzTJYjvLA33NCjk799xzAchWEquxrgVBluQ4m6mO49aBMXx9bBueW5wHKwfPWXFjsbVOyWjam2R2mXVVcyZE0OeMWsRfAEub4mpJAtqQ7LfU+RkYqQLuIb1DzDsmQ6/7KMNztTqiRomo6IicmVY9JYCl4obAcVMEuLczhRAAHvc6gVPUZ5gL/dufw1EqtXdq20aC33t5ep991KNDQORLVUfq8pgFX/2QUEm1hABomaK8vRz/YZC1gW9/ifydG9vPoQS/Q0IdKx5AJDolVRllIE9sAgICoYLw0QtH4Mw5aOxrYODk1rpFFpL5DsZ0R7pV5P3bKyNglqRVsTKTQjc2Ay0yEOaFEWOmVSUpuMUxeNogKjsqoCUK54iDwT1KSt9APbx6hyBWCL9+6UsTEXaMCloJBcrbyiA2Re3RuuyvdmoV7pIbJNvG+IsiBSePukESkSJZ9JoeBj35N4vM9tFqq0DgN1aHRNEEFxg8oYLGvoacl6gUwUl6JiVyZlBRE0y/e+KwA8wDG4eBN13UgLsCCI+gsLEIe8iWRWRECW/YVNILzTYIBC3crddcA/z91+XvesOhXk+HnG2tyrhJCxMJIYKNMwF/p4TaFKxAAQFMXDaO/dcf9FHjqMXVnMFLMRcpn/SmzAPbJ/G+4in4A+4ZNEuAWhSDpw9iadcS7BEbzpzj0wlNBUVrKAjVCZH0wuftbMD5MZHqiG7nuTqqdntPeQgnq3yYFZkcJxUGIYKm1poe7C64Pm1YN5/XfQWZkUWYyFnSY98OOePRjSkzG0veXwAhBCc5iwCGg8/T1E8Pxxxytk5rTGFHkyx1Y8c6cpZ3IgQEyVmt03ZaxB7rgiDadHK2WuSsnQT6au1ok7Poa8PDw5ibm8OuXbtW5U83ydnSvcsY/PYjAICHilV8ZeI4OJTBiohJ0AJtSY4oo6noXHaZBjVVKWmNGjkzE8LRx43GHKn8FO1oj622//8jmNRrW8od4iiNUNNgVmNxl4xocYa0ao3tpPQzNC9lIOsjZwjXnFmWhs3gF9izClONxNP5TY3jfEGQRmd0MSr48OYTHg9Ajiei+x1RlfyTYO60BiyUp8oYuWBEBt9Rf4ylxxQE6TYo+j/HTWPfgtwGL20oglgEVoWhsqMMwoCtxxmN6M1+VYrWaFUtUIuiuKHo09S0P4QLeB3aHwDBfT1ixTXeEwEFVZ0XFChMFmQfLUspfiY8cwUmDLXGFGjnotwkmrdsP/kApJS+OV6GzxnC6IUjCmmRVDlK40VuTNsyGNQwpW5CrX765+cChREbw2dKiX7io4zBNRmrxIhcGGaKhuhksd4h0NdvaeowV+fWPdaIQl/MOdBMnimTVGJrsDV2Khq3XxDiD+VU1FgIXwjo25fsxL5CBXA4SlNyrfCVRRUt1h624C67ctwwKZzkf1ZkTSaMoGSJIKFO8Yxp5OyIVcBHNu/E18a2gy+7sMds2ZybAbREQQuKrq/bwVACa1j9mwKljUUp+qLmCqsYXFiHaeSMI2kiilt+7RGr9XtqeqX6fWpQ156pOV4Iec1UC4fhEvCLV+7x/14/Y64bX2vbz7aenKWwo6nf6cZ+VZCzo7FTTjkFAHDrrbd25VNe1s096yWtcbXIWdZIXjc0y7T3anh42P/cbq2b5OzQtw8FvhmBPrMJSptKcX/iW2JzYcPsMjVqzlIgZ5wHyFkbxcHgYINumTLgL9gEQ1r8wusc6ANmIb4Kdoz6qSyMFtMlQv7x6mfo6IznpCCQTYec6cDRrxOxleog0cpnR+ef2ci803NkImdfnDge95aH8JrzlqX8uRZM0DvkVnKSYZr5DboV4Aj5Rwj2LlDQIoM1bMmEp0xl8mhRvOfXgWeeXMe/vHIBhAFDpw/6iVuLT+q6ekZyhk7jSAQogxPZ1SDEEEoAgutFpTorLTKV5Cral/7IyCkLJEjOUqm0KrRviQWJKSPCT0i10QL1a16JCvBNoZSo/fsbV/CMk+v40yuXUguCaCN+0Ky/JELnIBT+5oMO+t96VRPX7Gzg397Z9DclTDP7HOprL2mfaZIhadzYGGBF9b21XLyy8UvGYA8F9cLVk6uhfoLaSpFlxg35lGwBWm4g5lQEarqa1cCIqueUSrusRJWYSkLtvkVQtERYYbPTsFbP/X67jP8e2wqXUhAuMHzukK9yWtlRkddBXzMi4SpWZoAa1/aIrZAzlZwZdXoBcoZktDPyb8+mOPeT54Recxbc8LRNgY88bR5P3VHDf7xiTp5nwUXjQEN+oBJXmdwUxFR6dnY7KH72o60nZyksLjm75pprMj9PvyVnq0XOsvQhahdeeCEA4LbbbuvKp7wSxm4S2F4iZ6tNzlab9LSzbpC8XnDCu0nOCpPBtZhqBjWmxUHWUmPWYoykCkoLVRZWtutgwhWwlO9JBf4AUNlRlgpuBJ39NcwX0ki5oOlCfC1b7Muar8LihoBOzqQuevqgyKQ1Zv34+0p7aZGzaM0Zg1KPREuAvRpzzHqhLpCzf9pwAgDgmSc3VK2ZpDYSSPVPmWSnRfKMf2iw00mxq9/G3+KELWuoygysxFAYs0Eowdgw8MnnLeKJp3pKcCLYyY+aTs70M0Z5up5QQi15bmxzruBzaVE2MAaV1Epaohg5d1jeVyNofe5lYd9OHA9ojWlq4HQtoZksWvo5i5kGiBIJka0hWpMgbZefBfzDC5aweaR7tUai5zdm0AhNPXzVKsIaZLCHLBBGMGQLfOqly3jq+fBbI5hm7lGYAhxdCYKA4MXnN/0G1Ca1W1uUGtuuxrAYAYgDEZfOtMYdc/MAgAWrEPhIgrEjk1Z53pHzhmENMgyfM6TuG23Dhgh8LtsRhLqD6fXFMyZDSiA3EqhGxxmqJw/AW/bgNblE0NV9sqsWKJP1b5UdFYycPwzCCJ6wU35u2eJwNVOmA3W4ZfkVcj17+uky1j5zoonmwQZgTD+EEGwf4fj7p83i3M0yRuZNLgVVPCHHukK1L5iSnxMIgqRDF/vJ1mvOUpiZnA0PD+MLX/gCLrvssszPs9rk7PLLL8f3v//9zP3RfvzO7/wOHnjggY7HpxUEORrTNMJ+oVp2Q9vrZc3ZammNW7duzdKdrpC8XiRn3ag1moXxJnJGUwTShJEgqUgwRo1C8w4ucZfjJ1ffiAE1H7EOeXRpS0l9rgAbSD/VE61myNM2fZY/9TU6GmpstNcRADA/OUtHswxojaEXM7W0FDBKAQiBApfzg6YfWn7vJSSqM6a1UL1QyuRskVng6u8sKgKamRIFASCRvZTuhcA/phEG3lFKv909tRR1snpaVcqe+2IlujdVQDOzqlYs1XLkPMnR1c8Y4SloliJARKNNcZXD/vWhBYWWqSE6dtGopKiN2XCWgnX87S8Gzj2ZoLBrFg1C8K07rCDQV+M66ZkRMUgeJaJFvdJ/z1ZJmUI/iRU/H1VPHkDtkRoKNularTFAzuTf1R6qoWA0dPeVPlXLEQAY3FmVdX/LnmwOHZlLa8Yy4VDDnzTJmfrlqp0OLnxGDaIhFFUY8vlvM29PXDYe+zrQipz5dYIp6l83rEgVw5nqRND6wNi4Grt41L92hXElLqWVUqme9+LPM/b4UZR/vBB67jtOjV5rckaI8JViQ0gm1ZtiwTNnDcq6NFqgGDi+Au5yEIvgKecAn3/6QZy2mePrf6Ge+w51gtEp4ZdPPgmXAPjNi5rYxms4f7OKuUOArwChNNQwGxygRQJvhfstEQgl+OKLF3Dz4SJ+8GkB7FNNr48xQZB15CyFmcmZZVl4+tOfjmq1mvAXq7PVJmfT09OZ+wIA3/nOdwD0j/iG+dn9QrXsJjmbmZlpea3faI07duzI0p2ukLxeImdpzmXuaP/DxpP93+MSiKiNXTzqJ0eJ/pCgH1enoKixv4nmwSDp/u3LHWwZ8vCuJy4l/h2hJKDwpDC/YS4XHRe0caeOc5aPyMN1DQcNgtdu7ZPvJNg4Bpy6PXjNLhB4kPLYaShX0Ro4AJknZ0HNWfI8VJqr4XP3fB8nNOQ9qtOA1igjDHHUqBlgJoudYxCNHJmqdpYK9LVIiY82ICx3nmRRChKgaz2S/85bip879ZgtT5VhD9vyMxXNkhYICpNFjD1eBv2szPxEzDRrUK2pBq0xDaKtkYgorfGjb5G0Rh3oSyojDZA0hWYXJ4uhnoOWRfC0xxOcucXDhcdxWLYxPjkSE8bZRYGbHyTKn+AiM0NQJmoSjaUyuLUphs4cRGGsdTdHJ7wFGyFhosS+Yvpv9dqqn3VGwogShT+OtAogKzP5O1HoXmRdrhl7iqM6xErb50z9e9uoQMlWLIMqg6+wuYoYoNhCa9TIWecNB50s1ikDV2pJFMJ3lFq09d7p5K2Dq7RAUbTNfoI88cGfXRS45WGVOBkfThDUTMJI9KmiMBIiN48kAktbxXhUvdyl2x1sHAZctTjyeoom1Mb7B06VvQQZBa7Y1sSw0hvS1G9Abv5pFdnao7XgCzAiGQz6mSxQVG2Op5ziQodXadDyfrP15CyFmclJ2qRgNbba5CyvoDaNyEWcH3kmZ92q7Wlba1rj4uIinvnMZ7a83m+0xqyRs2OZ1sgVleg/R6ewt1jxX08DdlKrNfCIM8bMRpmdvn/4/Y1jwC1vnce1F3UnjtPZKR00dkZhPnvPD3D2yqw8XL1GE3apO9n5pxLs/SrBa64O/l4GjpoClgI5i6E1Zs1r9FKiDNu+fT9G3WDs16jl1woBUmSjkqDOmNZClLRONWdO6/VhRo8wP1gDuooQdB+5alFIzh0AL0Xj8P3/dSD29SjSQ4jqsUQJhk4fRHlbSdbJpbCA1pgOyYurOfveH9RwxvGyb1Zxsuj7NPq4kdQJtr7GtmVc/w4J42XXCnznbqvFH4sAQ2cNtvszUAsSWbBI8nViBJaNcA1cCqRKI+Z+QG8iGvr1hMsSR8s2kbOpETWjdELO9OdFkDyvwWGN2MoPkoo+GrV2NWep2jEYCq369lKazCrw6z0jx2ydbD22XBCp0c7LrxX4y2/KzUIvhL5CJoQk6AEHAPaw7dcMUotg8JQqBncOYuiMYLzp44mtahsZ8Zcwz0HHMeTT4RHZYCCSouhTGjWtUTmsE0Ld0oAy2aONGO+FF6Njj9IIrNMaU5mZnOUZQK42OTuanlZJ1o/Jmf7sfulZkTbYP3LkSOzr/abWODo6mqU7fUdr7CY5W1nW1KZwEJEGOUvtDzEb9iYfKwyAgQOwVU2HOEoxiVin9Em6uCU62NQ7+qs1QggGK8GJC7YsNC95PFWjbn1m0/WspyQ3ZVBEI33H6pTJOg/VBoEwgspxlTZ/3dn+8/0E9+4GbvoDI3nthFTFIWdUI2cBjUlagKJ1sve/nmDDqMBzT6rjw+9QAXIa5KwWf0BcwjP+hDEAQHFDXOuIhHNo5EykayCs76v57OupurixKPtUKfMFHlIYsWTTccsmwXPfoanxHQ8AjxMxtEYVPLczWmTgDg+aibc7ziIoFEiocXi65MwopFLfLSoI0i4WYAMsts7LTM60IEZqmqV2WqsgEsAqSeSMDbDUibxpY5HcN0hgO9dU7Vuk/t94/qVKRsr1M6iv4w+vI/j+rcBzYqpoigWE65UTLtPtDwAXRepegQCZIhQ+vREABk6qYPneJfU6acsCIQZllljE//tO/R+5MNQ1Izm8r4Aq/xW8qRNJRkCKFMKVVODCmI36PiapvJYUn/Fr8OIWg2PE1pOzFNZvyFnUh7ySs27Rl14Igqy2qfFa0xrb+dtvfc6ypuseLa3x3e9+d6b+dDN+vnsjxw7EJGcZ1Aj5n0WNHXRPtDRmNY0bgb6AiokEUtPO0hoxkLNuEmZfrZGQxGL2NFY1wKSCZfbx6nzfTGEA3zJ+/IMm1MnXhzTD80KDMhSOQjAlak+/SH7OK/4wvYpcnDAAYxrVAUBlzy4AoZ3rTjY0QPAnv0kADPi1KzwFcua1CXSzqMXTFqI1dkKohZmcBT7YGfgzeuEIqE0xfI/RqFugI5pnq/nKMdZWRpLr1KxBKZQwePqg3+Q9zsYuGYO9JOCRffKFlG1dW2iNMden3VxmDVg+JdW0UHKmk6kO/RajNWfBNVEUQiKbgo9eONL+Q9rYcGQ5DPobJt+vb86YCq3EoF4GtMY4I5TIlhTqul16FsGlZ8UfW7ZJQEVNQdsz/fFf07RlCr/5vPIkpCbZzobOGIQ1aMEesiC8YKOQd0gWORehpuG2GQaRAMWHSh5XHlyR7UYGGMCkCidXlHJ7zJbHKfSOqsRNcBEgZ+u0xsem9To561TjFU3e+iU564UgSDc1Q71AYtLSGttdy7WuOYs2c84rOVstrfHNb35zpv50U7PYWGldzIB0tMa0RmmQRAgvmd7Ukpio5CxzWEgHWSlojaZp7wgTUsHuKGzCKB8y62E69YQ6Y3kW733oFgDwm2LnYV7KoIgYiUedUHBCfMU2UzzhqP3RQUiKps86qDGTM4sYlCpDRa4TNa2tqTHkpZD4bhfoHm17gdA59MaBgGyu3un4usxQ4pCzozFWkkqvFjOuf4o6uBPqiwDCyBlTQXU7Gzl/GCMXDKM4UUim0hGCYpEEwkQdhHeiao0hWmP4g7uuPR0xlx+FnJEOYhdRtUaYCYai61V2VGRg36VFr5uHdJtEs4sAU3AoJ8QQBOmgzKprv1IM/RLjYQS/w3PGDBqhtoDGTPykSL6u3ivQxGtfGJNja/zycdk020DOOjWhNq/PYMncSIeqV4QCzgTcmufTPUmBgRaYX99ICxIZ1jV8hbEC3JqHxbuW/LmrX5hW3dh6cpbCepWcpe0JFUVpVouSZG39JgjSC3/SImftmmavFa1RCIHrrrsODz74YOj1rJOzfqM1mmOh0/mKJJ7WSDNNzghslcgs10iIuhi1sHyzDPJFh53Y1Tmlg0asjtZ4FGqN2q6cBl56JfDhNxEUrCAo5c1kh97/YCC646tHQmSPnKWkNYaSMzVwGBGwx+2u6HAd/aHG9el0z1yNLJr1S8IXBCCGQiMrM9njqEuzlQAE9wR4h2SIG2P+XTvOBwD8y/86khm6CAAggRphpzFU31NH7ZE6HELxaCGgnGY5VVuWkeB3UJA8e/kIXnzoAQDhuYiR5ARW9zxLY7ZljGkP3dWc6YBeNQAPWZf38K9+h+CpjwP+50OylgmAQs4SkkX1M9oU29y3GjhxIJM4IEiGksd00w0nQ9y/Zu2ZEUBQx5VmKbTBgxq4FGqNAY0wOD8lcv0gMOpNAUUhlG0s0iDY1KKonjwQJGcdal85D+4XB8GQkZzp1i+m6q+uaSNKDIhYBPV9DXh1HtTK6r5rgxZYgYBVaLDxkxIN7idbT85SWK9qzlabnOWFnHVrvRQE6eY+9ENy1q5+b60EQb7//e/j2muvbXm9n5CzrCmfAEITfqcxVCDxyJmVZdAIYFBd8oVlkkhvitIaif9LxuM7RGtM/2c+OpHBbaOU4J/+iOJNzych5Iw30tfj+kgeyWYOeP4T5c9TtiFUL5RkJq2xTuWzvlowKsk4DYK0jkhVjKQ2pcEwIiyIq4bOHAypDqY1v17IS048gIDW+MWJ43FLVcqaX7zNyZTWCBhU1A6oR+1huZH26EAVi1aAbtqdmr53YRYzWmi4yXPRpfP7/d9NtcbdiyyzgUQp8YP2TlRd/a7f50wH9BQYPnsodGy36OfWDQTf+CDFUy4gPq2RdNnnTD/rxP/f0ZlZpeGlTPCbjiEIQqg/rdtl2jHqHtw5GLQPSbBKmXTVI1MjVWaCT/25MaAAAhpRk7TFkfOHox8Va+Wpst/nrmOCD8BCgOCbyZkQ8vzeiucnibpvny/5b1NYAwylzUWpyKpr0ZhM5KCYCX499jqt8bFpvUrO0gbWvaI1dmv9ipzlaWlpje2Qs6wTkLRI1b59+2Jf76eas127dmXqi7a0dWc28kfOAGCwKsf04hJJXGSjjU/9mrNs3TGQM4FuoDNNI8xan6RgBbU2nYKisD/ZBmmf/j2Cf/kTgut+16SAJY8haiBnNTVw6FEKpsSZp4OiZscSL78dgZmc2dQYSEzzZQOqY7emUQ/hdm76zGP80efO0kKy4wn24U/L9X7eDtNOrQyfe4sFCIboUAdnXoWotH+m40irHLroShCEUDV3k/BYKW8rYeCE1YvdUJ/W2F3NGUL1S6s+vW8Pfonga3+urk1KxBwPLeGFhx4EIDf3PNUvpbyl2DE+KqakOw+MMKPmLBldBMLqkf5rumuKw0HNfWKiqI0WjVXVbGe6R2anBJ9z4K2P3gEAGPYcPznjDQ7e4H4dHLVk6wqqasmGdg5K1daCRPVGLxyRYiQ2BVW0SqJQNmvAgtC+p+hL12+2npylsF7RGtMGsr2iNX7mM5/p6vh+Qs6EEPjud7+buz/9hpxZloVKpQLP8zA/P9/2OD3WotZPydmWLVsy9UVb6uQspoAayFaoAADKZelPs0kSg7SoQhghIh9BkFXXnClaY8bJaxg5Sz//htSUM7hl1QrB859IMFgx6E0d6DLEi6M1IvMMlpuF+B1umk6WzCvJjOQs1OR1labHkPBEx13rOCSPAJlHJ2lRjxt/Jjc7D4hwkJzluJbJmfpHh+eMGm9Gk7Msr5FGGTwnXY1XIAgix0t0mbWHbJS3rr5NhK5bJR0Q/ECtUf00EaAM1v5tGwmuuVR+Tlop/U1/c5P/OwfBfYfl323akN0g2nLRcGopfQCwEPOc+Y2+AWZQUv1m9F2OL52cd0LOOAcuWD7s/3uoKA8WQsjaQBogZIRIcRhqExQ3FjFywTDsERugkkYr682UYqTqEadpkFztqJAUdab9ZuvJWQr7VaU1Xn311QDSy6vrYDdPtca0yNk///M/46qrrgr9TR7WbzVnhBBs3y47+D788MNtjyuV4qVx86o5Ww2tMa9xlDY5s9ogZ66X7XiiWjzBTd5xNBufCmLE97lJ6XeiE4Xf1MlZ1o9bwe5ix9r0hwT+ZInCmO0POu4QGxejZtScZb3yco2cpRDgEIp44YXqlwK6b3lLaVXiCaYRK6BbdUpgPb8Gzgga7XR9AruxtEp7w56cq+atfJEzX1yiQ7uBdsiZbBCeJXImf3gdmMOxUvo5bBL5yFkKVOj8pUO4/AG13pmXJOO5yBRNSTJrIVjvPEJwYJFipMhx2rbsfCkZUvpp6MxUtCZnekwP7qxi/JKx4GCySjEgFlyfToIgpvmCIFzWuRJGFGonFRoJBapKQVY3MvcZLFQi9VoYhFAilRstAmhhqhQqtv1mqSLD6enpvwRwCYAHAbx6ZmbGUa8/EcA/ArgPgDczM/OUfNxcWzODuH5AzqK0xryQs24bPvcTcvb1r3/d/70f/OlVcgYAO3bswN13342HHnoIZ50Vr8PbLjkbHx/P1JejQc7yum+pqbF+I9qwH6voZZpoTA0B7olkWmOkVsYnn2V9mXzkLHlcR2XbNRKQNR2NURJStExrgSBIkCxkYZQaiQ3nEKK9pLkwbo5GzoI6j+xM0xp5iuTM85Mzg9bIAuRs4MSBo3dI12elkK6P0hoJpFR21hZq1J1gVXWBFpkdej3LWtOQWqNITj6I8Z4ppW8pNbvMTKOvKRqZywOVf9qljMe0rwLZYV4UgK/Qav5d1pzv1z0L8D6iNtK6oFfr+zxe4f5GXBZWsAHXQDs7WZyUvvYnSl30hYG6TP713N+phUb0rZKlXxewBi1UtpVR31MHsSnsCgGv81YU1tKbb0qpUaFlIMH3EYXHMHI2PT19DoCpmZmZywDcDeD5kUO+NDMz88THamIGhAOUXiRnBw4cSDyuV8hZPyZnaQPrXtXhHS2tMQ/Ri02bNgEADh482PaYdrTGiYmJTH05GuQsr3GUelw7umA5PE1um8x2F07Td4SLRJnv+JqzjHfPEQQ3pANy1ow0D9aJyFIz2y10ZrYb6IpmKY0AmQZFjBo76J3oO8ZpQ4IgGaMMmpKWRkpfJ0tmqwGLZBvIakEQeKJjDy+NrEWRs6zsxSoy8e+ZkzxX2wrGakZukm3HHb06C0vpI1E0xbwtjYg2faZzpK+0h45iDoNuE5YS5yGUyA2KjOchn9bocbj19vesZbgT85fsfPqNZ5CgX57gqVlU+m8KTGRKiSeEQKhNGSdFramlpeuNsJ+2u2dECgN1ffnslPNi5L2CpV4Qqin6eAG0QFHaUoI1ZMe2ZKDMQJHtoNaMUIWaeQIoGPPQMWZpZsBLAFyvfv8GgEsj7/+v6enpH0xPT785U8/6yMwgrheCIPfccw++/e1vtz0uipwNDw/n4k834htAb5GzbpKzfqY15kHd02hckk/tksKRkZGe+6Kt17TGjs+y2q3dPh6MtfM2OhipZpx86Ia9nkisZWjWgmsooOTOc6ATpe1z5kaSRU3hW3YyDtJokEik6VGlTQuCaGnmLP0Jas6Sr1EsrbFDf6rVmE9rTEFv0igEJymCtFVaIIOeQhAk0hSbEICmUKtLa597F8EfvCK4Z51ojX7D58iDlTlyZiT4SVORedYo1TJT08iZ16GmyuH44q7vgSmRBWLTXOYhZhNwSMl1byl9cubXPSFbMG98KHieuYeOKqTadDJUYNluEgHw52qn2bnWlMXUnFHS5m8I/N5n3RhlxryYYNHwTTehFhyqzyIFLVIUJwtgZQpSiMQrAiAG6cgasGANWGCq2bo9ZKNywgBoWR5EjkFBkDScqlEAe9Xv8wAMYipmAJyqfv//pqenfzgzM3OT+cfT09OvBfBaALj22mv9OqBjyebm5kL/3r17dy7nmZ2d9X//kz/5E5x66qmxx0XP/973vhfveMc78Na3vjVT31ZWVgDIRMhxnI6frZGaZrOZ2zVaWFgAACwtLSWeY3Fx0f+dEJL7PfM8L/Echw8fjn09D780Snf48OG2n99OrXHv3r2xr6/WNAqcZkxEr9GePXtySdB0sv7oo49iaGio7XHNWgMDADZvdoFH5WuTmxwc9mYxuzs7v1xV48I5cIQfwdzuudjjHnhg3v/dIRS18RXUNzhoMILa7vjkfzVWa6hlgQkcWDoAUo9foOd2hwOm5z1+GU27hiddOY/du5cy82dpcQC2RuWQ/NybpsMDQkWmz9nBg5YfpLkjLvbs3dN2h9kzIkef1ljgmLPnsLB7ITOfXLW1LDyBA4sHQGrtg6q5O+UzyU2J8NMa2LNnT2b+NF05hgTlWBxcwMru5bbHrjTk2DUT2eWJJdQzHNPjA2UfAW9uaySOh4JCGJzI3DPnHsTy7myC67nZoh8kOxscHKofBGnz2cwYQwsm1ZJku34IlVB7XGDf4X2gi/FzXPNgmBJfm1oBLRJAZOsPHy7DIwRUCMzZs1huM6ccPFiAWSndHGxiaXIJYpRj39w+kIVs7tn8LPXrBN1NTuJzz0nQx0vfZ7vqYf/CQZDl7BI0oZKh+qCLQ84h0Lbr0uZYWmNjY73tPXM3u2gebHSFnjmQwIHgAgebh0DbjOmFxfC629y0BI8CYkygadexcmAF7gku9s/vBxjg7QjHV5xx8CkevLYFWDm4DEwBK7tXgI3AsreEZlUCHkRwHGocavuMrZVNTU21fS9NcjYHQF/JYQBH9BszMzP+0zI9Pf11AOcACCVnMzMznwDwCfXPYw9bBFoCuKQLejRmUt/GxsbanmdpKTxJXXrppbjhhhsy90ejPUII2Lbd8XvreqVyuZzbNdLiJJ3OYQb1hJDc/NECGpzzxHO0SwLy8EsjqdVqte3ntxMLydofTWsUQnT87KjwzNatW3NBPTVquGnTpkSxG5vJ/kKWY2FqmGP3PMUTRlxM2BMoT61ehSxqA0PyXggHGOVjqE7F1/w8YDvQM8RBu4jtsxWUVpqwRy2MnTIW+zer8mdQbmyQpsBkZRLFyXgKLFup4SHc5f/7okIT11y1APtIBZNnZ0ePHR0RWNT1UM5A4ji6Fbf7v/sCJSLb53/BEXCJTDboAYrNGze3l5tmj/i/+lL6LsGo1/4+r8ostbHREJgc2JAox33P/TKgsY3luHhvEZufvTkzd8qDMvEkDaB6pJo4Pu/DYTQRIEkEwHB9BMOntN846dbGxwTm1Fxi3Wtjy9Vb2tLwbKE2GSNQ0KaBSZQ2xj8L3dqmvQKcyA0ytpth3B5vO6cURFDmUDP6eBBkO19T+yEAgGgicXwOFMOJ9uD8oBSAcDk2/NqGzPyp1JbVMyxQ3lfBxjPjP3t8n4BZ0VxcKaJ6sIrGgQY2Pm0DWCWb0gFWEvCIXBPYIxY2TW5u24/sFnqHT6XTyVmxSbBpfBOsgezqzIkt74XYRzFhJa1L3Oi7Foz74sEypqbi18BDPziMsZNGQbuo1y2W5HwnmsBEwpiuVMJI1vBhGUc5cw7K28sYPnkIh35wGKPTI2BlBuGJEPtBeAJezWtteh6xclXGsLQpMFGcQGlzfK19P1qaq34DgCvV708F8CP9xvT0tDl7PgHAvdm51j+WZ52ZaWYdULncPviL0hrzsm5rzvRx/SDAYSps9gOtMXoNv/e97+FnP/vZmvkUvX5f+MIXcNddd7U5+uh9STNm+63mTCuoEUpw/RsW8YkXLeOV59Qyr63QtEbBkbh9ZWqq7CtUpEiaQPY1Z0zXnCX749Yj10+pe2UtCELNmrMO9UumBX3XMq4RNGvOOlwjs46qYUrpZzy0ha+OiA6F+AK33yvf/+bWHfj31y7iG6/NDsHTRo1aj05qjQHN0qg5y5j+RYih1tiBiqprzlp7imXnj0lr7EQf3jAS/H7EziY5jDNfzMFLrlukRs0esZRoRNYcQgAWFcGYSBIEibwluMDC7WpMZ1mSF6oTTK6l5Mac7Nec5dLfUN2zFCq2ceM6qTXJ+CVjXSVmAGAX09WcxQ0v3uCo72v443DisnEw1TctuqYQRjomZgAklxTHJq2x45WfmZn5OYD909PTPwBwBoAvT09Pf1y9/cLp6emfTU9P3wBg98zMzPfzc3XtrBfNjIEAZQCSk7M09TtZWD/WnPWrIEjHQD8yhi6//HJceOGFufik67ySEqKoP1dffTVOO+203HxZTc1ZXpZ2DPnjmQqMEwdXb1uGTbNPPqyCERQlrGgNQ0r/45tO1emBX8ifmenPEyJR4tupRZJpSyp8jV3UHo1clTvUUD3sYuo7cdwDgcAn/ld2FEsgLKXfSTLaFN2omWqNmdecBf4kBUX37QaEg2zfLwAAjhBJREFUql1csWxcdJyHC7Z5mQfW1NYJvuiYUMfVnMUJAByVP8RoidEh+WhXc5blNTKbUHMPqaT0bx0Yxb7C6ps6dzKdEHMXiYkHM5MzLUQDkXkdJSPBbMid9sfFJWf+HJZlchbZlEka18Jg7ugNmgITma8d+jydNhwAoMTlfasb6GvSn6zG10LRqOvsQhAEAJwFqURDMhSwJgrZpMegWmOqyzAzM/OOyEuvU69/EsAns3aq36xXQWNa5KxXyVlq4QRl/SSl32/IWa/GELA65Cwv8Y2jQc7yMv1dnZqbKIOuC74pIajvqYM7AsXJQubJkKXLSDoo29WbQAnAV8a340ChDEocgGceV/vfj3SQQXej0v7q79pS/FZplAaqh90gZztGOB558yEUytlG+qEddE8kI1XGzdFqjbsOWwBNiDZXYSJln7NHDwIDSiq+bjMAnnzuckrOkCJo1GPMMyPprJX/ulDYtNvUnGV5iULImRAQCRtFRI35r49tz86BGKMpe9OxpvEmU+hLDgh+qcoCxDwB+YgKzhAQX5giy5sW2pThIlEQxESB9d8UWPYbe4IFY7rT8llWyVktZXK2GtPIGe+w3McNd0JVrzKW3fpBLQIPABPp0MV+svUm1ClsLZKzSqX9DlmvaJaPFSn9flCP7NU9A/orOUuD4rXzKS/T33X25lnU97Tvv6Z3s/Wl8el+Ge/qW6b8cMIwafi9dQKEwfQrK/O/p0hOFr1IfkEsmjldD4hI6XexL0WoUtjL2CeJwmh/0qs1mjvWJOPnTWgaYIcA5NGDQEVFTnXdYC8HpT2/gXCaPmdemNZIkP2cTYx7tlpaY5bjyIpQ5ESKSoW8Z0eNnAkveROEGskZYQRL9y7DOeJkPoaq20tBMpSAfIiosiSR3yVrpiUz0E7RAX01aY1+cmZljy4GKq3J8UXBBkr6uafZ91b1z6PUEuX1aX9c7PCiRKotZnjPKCNBf8NjjNq4npylsF4F1iatMSlY7jX9S4jOvXOazabfaDivQN/87H5DzjhP7nvSS+RsNbTGvJGzfqI1BmOItzR2jjgEQAWuBtUqL1qjpMq0P04PaX1IY08NXoNnjuTpII3wZGl/LxJ00yLJHsWDktJXv3eDnBFKANp9I9U0/mh57E7JmfleSGAi47GukTN0oFkenhMYVll1ww6CtKzvm9+jivOO90zXnJnIWebJIjH6FXYIHAtt+pzllZzJ577zPJT37KjRTuEmo0LUmDMJI6AFIlGJjJ+zgmU0n09o+iyidVNE+kXU71kZJcYY9ZKvUb0UqGrqvylY2cciAXKWjL6OVHuDnBUM5CzJn9jnjwsUJgoobcqurtJkOXTaJOo3W0/OUlgvg8a3ve1tAMLJRdR6lSyaE0mna/DkJz8ZL3zhC1v+Li+f+qXmjBCSyqdfVeTM9KVjc9weJ2e8EyWNB8mZvM+67j1rWmOw4CdeA38IyeO9ZQ/ugpM9yuAjZ8n9jqLDixXyQc4oMXasu0jOWIn6iXWWxiJ9ztKOW5MmV0hQU1yNCYOSljSmK3ccAgCsUAZX+yOQeWDNDOSsUz8oEVG1I0DmkUlLb7qEcdReECTbmrNAEASJtZRaz0bkuK4CQQ8u0anmrBkRBNHiLxm7V7ADOnPi8hmZo3idgzCi6LrZ+cNoNKFOoHwbfUQHFGJVzLCJuTafztwh8SgID+ctS6F1E8HPelemWA42QLqtORNcoLy9kqmaZUhMap3W+NizXqIe27dLXnlSctFLf9IiVT/6kS/i2Rc0wl4hZ8DqkqE8bTX+5HWNCCHp1RF7nJx53EuFelBK5EypVMmyRs7sgpF4JG6ga/qX/DezkAslzVfKEyKxYW8rckazFydBmNaYtvErAFhT5dzEJUK7sYljKHjTRGKybLIMBDvonYIie7/sXXl3eThwLQ9aoxrTlCcni0AQWIbUGjPeLCJIf8/aC4Jk508YOUtu1C0iP/PwBzCSsw6Nw2lEEIQVCCBE5gh10YYvBNRCXTRMNMLrXONQQ81hJNN1LYrCJLEcTAEKS43/fJKzdJT4xxl9Te1yMK6zXnGLZeP6JGw4mKHATHVcvYhMxUCAyHO2jpw99qyXqIemNiYlZ730p9u6M6A3yFm/0BqBdMlQL+9ZP9Ea0/oT51Nepms7F5cXk5X2fEEQyB1GHXzkRGsER+KOtV589RE6OUPWsuPMqBdKoH16kdtJChQ0w2JubZTCVz1Mqj2JmrWxJO9V1mIXNP2Cb6r4m8lZ1oGsRs460Rr1e48UB8BNKcnM0WA1hgQSE3wArYIg2d8yhZyZ9TCdkbNmVBAka+TM8AcJ44j0iNZIbO0PEgN9Ylw7wgiIzSC87BP8YiElYh6hPI5dOqbk/bNFzkxaYyf0VYu4PFwcwA2Dsj9bIYdSL/+57zAPMWPe/K83rgRvZPyc6eQMXnJCzYVE7wHgL7eepV4VXUv3dzLWxVzdb7aenKWwXqIeaZKztUDO+iU5Ww0K0w/J2a8qcpbWnzif8rLzzjsPAHDTnTOpUA/CZLBI5GasjwpkZcyo8UqUZ9b0Ji0Iwgh4k2dPa9T+CAGeVOsR8ZUVKYid/TgykbNOgb5pVknWm2Xel45GgrREl4I3Z62gliJrn2AkZ0kOCT/BJ35smYcMumUROJrunRCkAfB32EO0xqyTMwK4kb5izcPxa6xOztworTHDTRCLBcm6cJOfM0Se+7zMrznzOrQ/MG4nYQRSXyLbRAiQyUya5z7qa3lzKWA6ZJmcRQL9pGCfqPfeu+0cnz5czJbJLM0QBElC8syVl5bMcZ3tTSv7yVky+so5jKbY6juQPOqDSTBXr9MaH3vWb8lZL1GYbnudAf0hCGJaPyRn/V5zlqetBjnLo+eatjPPPBMA8MjeR5IpV5rWSAgIk411WSFbqgwAX/aZdGKARXbQKaOARbKnpGlJfAHwRAnryN+VaObNg4HV1w1YRYqR84cxfPZQ5v4EKEyneyZ//Mem7ZjNsYGwSWtMDKz1GCJGCidyqKNkwTVKTDxg0BrNQDHjYUTMukVPwF3ysHDnYvyx6qc58i/f3siUzmyxoAaROzxRSY4Y9yxP05tE6ERFNTc+VRIkvAB5y8qKNuBpMDVBlCw63uVhRG2oZXfRCCEQKnngHuAlsAqoWu89Y3Iu5ZGcaSoqT0aDi4qKOvzEcTizDi6crKNABc7cnEImtAuzS8FGI5ISahHQPR1zUyaHjbQAfc30o3O3/DQ1H0PWb7RG8yEcGso28IjaahKtfhAEyTshM+1YTIb6DckDAp9+4zd+A5/8ZH7tE3Wbinqznoh66EWfUgEQAlamYNXsp8xA2S655szfQVdjm1kAFTnQ9pjqDYPkZKgFOSsxDJ5azdQXQJX6+bTG9OPWLjNYedwvEq4XSh5E8seVzx3AgLOID/x4MHN/ABlYuyCwRLIsexxylkfNmSl40UnCWng8VBMmLXsqaiAIAilf32YsUT8Zksff/PJ92DAOEGtzZv6YyBl3hOwV1sGiyNnOrdnO4UFvOiTWC4WGOyM+hTDr/obFQvCduaZaxtSPRoNuQmTvyjzmar9xOARqD66gsq0ci/ZQ9XC5xpiulrJfc7WUfidaY1HFAsUNcoPoi1cdBC9RVOxSpv5Qk3WRsHZwLsAQ3ZQR2dcHH8O0xvXkLIX1M3L24x//OFd/+pXW2E/IWZpr1G/JUL8li0Dgk23buaKvusF7vVFPhXpQ1SuLFhhGp0cy94eZTZ+TaI08jJxZNkAE7QDddG9aHZEJkVw3EHmrMG77i3+WFupzliQMELkOVk5AVWsT6oSDjd6Pr79gGQdrDM88uQFgPFOfdO81S4hU7SEEjGEjkPmOtUTOOtMauctBdi3I3/0ddJF9zRkJ13iJhB5+UeTMphzUYpmuIyFao5Pc0sNXa4y8/qV3esgyhPNR75ToK2C2q8ie7l20DZEYhZyRmKS91Vc5X9vDOSRnVG/KEDQONeEuebCHWs8TIGdmcpZDHGLcs6QauLJae60Kk2uZJVWCs37OmFLupFwk1we7QfL61d9aBqAS8YwdClHQjzFa43pylsL6LTnT/lxxxRU4/fTTc/Wn35Kz1SBn/UZrvOCCC9bcn7VIFtMmZ3nfr1JJ7hbWGvVU9B0CLRlNwCoZb+0BUu0Masc+Bc1SH2HbFFTwDjVP3RtVC5qNZLXG6E5k1gqEpj9+HpGE5EXesvLyh4RrzpICWT2SKQWKFsGf/9pS5vcL0PL+FBAcvJnw3BvImTDHU9YlcCatMWEMLe1a9n8n/vOfvT8tUvoinuYkEwCdwGqaHzJHhSwGNJUggnCTn7O4PmfvvnIZx2/JdvfBp23yDhsO0ZqzgkzQaCHba1SwjZqzpsDy/SsYPKUVmW+5j0o5kpWzn6t1ckaYpHK2S0B0Qm1SdavlHB58Q2EzycpKvckeYFArWi4VjPo5YWqTyGtwsJh5WDcypwWKS0+UvhEhMkfw1wVBHuO2FrRG3dA5zrQ/vaDurabm7FcNOesmGXr+85+P733ve7n6kwapWgv1yLS0xrzvl0bOGs1GqtIKIoDCWAHVEweyF3IA/MWLdQqKRDhotC0BWqRZA2ehvmKJyVnkLVrIPhgCInUDXSRnxTx2qqGpMobSXgoqakjpMwe3GAuk372VBHRRo6+SiQZn3oFws5dBN5Gzjv37lN1fMiifWYvcEMAzGoe3a/guREBr9FEbLkAyTvRtK0JrTEI7tW/GNSkWsxUoAQJKmqQ1pptUCJWbMoSR7GmNZp8zh6O+px5/YAtwRgCWfbIIBPeAe0ImaO3qKdUYesppgWp0tZIHcmbQGtsMIc6F3x5CrzWy/2P2c5GuW6Rc1nXO/nQ29ji7IWMTXjQaYuciCBKuNT2WbD05S2HmwvKP//iPuZ6rm3qhXiRnq0mG8qSkrSZZzNu6Qc7OP/98DAwMrLk/68gZUG/UUu0QUyYX4vK2ci7+MFsvaDxVsqjrrwqWQqu6aMycxkyeProQBMlDqVH74++gd4Oc5ZMrtjajTVr0lVOUSIl7QrOn7sjPN2iE9eRNECDo2lDf24Az28yn5sxQI2z7nKmxe3+pijqTax9BDlL6xvURLvel0KPzYKz6OhewBrIdTFFBECRQmuOk9I+Uy7AGsyU+kZSqsaEHjRKwEpOoWw59zvznvs4h2mwUxflKGc28HyUAQxBEUm/bCSZp5OysLcH7edScwexv2MY8DlA1eiiFBs5AaPLytxrz66cVbVhvOrRQzusyFhClYAwTIPOM5FimNa4nZylMD6wPfvCDePnLX57rudLQCPV7eSZBUX/6BalK60+/0Rq1v724Z/2WnPUrclZPSWukBLks9NpSI2cGJQ2QO93Uzn6FNWl7STv6ZlBUOaGSR87h+5NGEIRHA4CcHrVQoK9QmLmb5+ElJEWEGOpxOfjl0xoBuInIme8RuABYmeayg26xQIWNJ9TlaX941IFcaY2Ac6QZ2/TdTM70W5QAbCDbRChUc9bksgawXUKkXv7As1ZQsaVXx2/PtgYOCOY4khYNVn9DS7KFRtZzpElrhJCJkDPntBwXN4WTQvb+AIDQ8YcHgABerV1yJp2qFo050s6D1hggZ/W99QAZN9QtPS9IFnUCrRGqrMmNGn1lQs6L3OFYvHsJ87fMh46zG/I+ipKx6UGyX/ujtabHkq0nZymslzTCbgLrXiJn3Yhd9EPNWdzf5GXdIGe9uGfdqjV+5zvfydWffkPO/OTMaXSgEcof3oKbObJgmq45kwtagkMRQZDK1rKk1mSdnBnIUBQdM02f96GRIZzyByfldt8YM4K0BMnoqK9WTgk1NXdjleqfs+jAW269WH4dFQWg1MjyuE4hVbKEmjM9hjRyxioMwsue1sgM6meSwERU5AbIp+aMIPDHq3lwllyAC7jLXmgDQgAtNWeskD0KQynQVNJ03JHqgu3mIh1YEwJ85+WH8JHXeHj1MzJ1R36+DvS5gLfi4dAPDmPloZXWAyNS+qxAwYoUrJTtJGkKghQ3FuAuuHBjnrG4sUUYgZWDIIhuWcFdyaZI2pABgDOngrFl51FsatScPe/Tg/jI5+QaO3fTHJbvkfWcHg/GtNmvM481LWCByGdeNAWceQfOQnjttzVyVowg0lkjZ4Z403py9hi0XiZD/YbCpEmGou/1QxPqfkXO+m0MPeMZz8ATn/jEXP1Ji5z1ChE2aY1JjTJhBtY53jarpJGzDuIeIvQD1hDLZQanJF1fMb3YOYTKcZ0ncuYnQ+0X2ei9zA3JoyS84HMBuCI+STYCa0CKFGStageEqZbNIw6cBQdejDy7n9gSVV9VoFLqPuv6JQOp4ilojTx6s7LeQTeRM1eANwSEB8zfOo/Fu5YCd7js7yd9kj+tYQuV7dlSmgkh8FQyxBuSzty+D5Oehwi2DnG89mkcxRzGkJbSJ1wG1MITcOZaN9SI4ac9aoNYUigpa7EkSWtU56QE7qIXmySTmOs2fM4wCqPZNxYTxnNPLALeATmbqAo8bksTG6ocOyayTw50b7nFFYIfPlTAWz6pNkKXPLiL8t5JWqP+A3X9NL06a4Ra15wppV+v7sk2EZGvbjfVuDKRM5F9fHQs0xrX1RpTWL8F1r1EYfoNOes3miXQ3T3rJa2xX+oW+xY5ayT3OdPvMUZAWH73zUfOuEiuH4sIFbACgz1kZy4ZHUJhnKQxHfzuzDsArWTqhzYpCKJPqhbZmK/cMiXk+KgJNR4EB7jHFXVPwJlzYI/Y/nHabUIkwjlw0kAuip8mmufVOeZvXYA9bLc24DZohFxAXiMhE85M/SEBzRIJjbpN9UhthCCZbrxKf8yEWjQ8ubPv8BDyImmNYeSMMoBlXHMGAFwnZ02e+J0DShoM6CMHM1p6WBUG4cSr55lr7+bnbgKxCIbOHMpcgIOxIBnyOEF51IZX88AdHhIfEZFJ3K15uV0iHznzAuSsOdsMJYLOguuPZosBX37BLKoXjWNoQ/Y9Dv3m89H4zBjTrhcki1AbjWqvKHtBEC2lLwS4A7iLLoobW9c1ptYVYQrtCJH5nL0uCPIYt7Wo8UqTDPVLzVnU134QBOllE+pu7lkvaY39guT1W82ZRs4aTiM5GVLvMYZcZ0ot+W4JDq/ZnranX9fvEptg5LxhlDZn3Eg0FMgmHOijMOp+5YZUGciZaN882PT1NSddko8zyswFnzvCF72Yv20h3NfLqFsEUXSrHJrjmsiZV/faByLGGOJC1eUQ5IKcme0G2iUecbTG+BeOzggBXEOt0XMk7cpr8BClkwvhP+r+c2aRXOYkoZMzjbq2Wz6MFgMCOSLCWtCHA6DqvsUk7TpZPHLpFCxVi5dHf0NCiF9r6qnxXHu0hqVdS6HjonMUtUh+8zUNxjSxCHidY+G2xRBKvXzfsp8MWZb8k4HB7NUsgYCKahnPl1D1Xn7NmYGcEU1nJCRzARcgUnPWVLsyPIZVoC6X+ewJZK/WaM6LN/9yPTl7zNk6craOnCVZv1FR+41m2W0T6l4iZ8mqZPIHZZCNqHMynZwxIXf0G/saEEKgcSjS69CnNaod7owDam1SHVEHjrxjjZcOoPKkNWrkTHABdyF+HGlaY5NQ7Cnmq4jqJzNcUeRcLc8emQv1P5mxW52DmfL+vMaVPH7rcaE+Z5B9iYhFMh/fIfVIh6N5pE3fTuWP2az3VdONBIrfKv0x0WABGbFyISlXxlcPBErgZ0E0J9Rc2IGaJaHwRRxa5iQe0BpzHUOGWiNAJN017qvrBJ/oetf85ka/pQeX14g3eMvYcI26r41XbwAtZi+Wos1HzD250cIbXF4nY46kViCzEQydfPzRCrnMTM4cIRkG6iXPC9BgPaaD2rOMkyGjflrTmYULgANeg2Ppl6qvoR7T6vSNg418kDMSbBIdnMv2s/O2dVpjCuu35KzfkbN+EATpt5qztRCVWac1xtvk5CS+8IUvgN8rYgvMA4fkD2rRXHYZtVnFgNbo1SU/31v2sHjXIoqXjbf4o5OhvKiWhACeQSNUKgktFkwJesHP5xqZgiC8yTF/2yKKG4ot9SfcT16Rqz8A/Ga0wgP4igvhCizfuyxPHjNV5j4HmSIuNUnZi6vPMdsxCCEFQQijmSNnzGhCDaDtc2YiZ887cRm/fnETFx7PAZEtBcxMFq0BJgNGAggeDqyD5DUwllOUpJEz4cqas/lbFlDcWER9Xx0TxnNPwnF1jsmZ9Ico1VjhJZ/KF5bIcWj7fcVcmZzyJm8Z196SHFuHhgZw/gu35EtnDknpE3CXg7g0VM9EbOr3yqOMAG5+1yhAzoJ4yK15kuqpkzNz/0GhZhoxz9otEzljFZkkc0/eM+dIE7XdNVRPHmhhXfA6hzXIskfODEGQIm0fw/ajrSNnKazfUI9+a0K9jpz1V0K9TmtMtnK5jBe/+MV4yoVPAW+2p8kR/54hVyl9k9boNjx/N7TFLz+QVTv6efUVI+aONdpSzLR/gshj8lK0pCRwQXgC7nxTIh5Rf9pR5HKwoOZMiiYITxa/y4bLwXG+WmMP0EW9QwyLyHsT9xyJYAzp5Ixa2SPDZjIEpdoWa8aYLlnA47a5sAokc+RMbjgESBUtymsk++YZtEYv/Iz5XyYP08+5I8/GXY7mwUZb4QJC850fzT5nIKr/WtypfJUOEiAyOZmfnKnNBt5oTc70c98oWICQaDDNWDnSN4PWCApVAxuuWySM+IE1zanXojZH3SCT1vh//6GOvXOBiq/HEVaNJVIIKI9xxCwCvcqXp8pgVQtwJZLXPNQE1/OAzs3UhaIFClZmmc+PpcJ6cvaYtn6lEa4jZ52Py9sfoP8S6n6jNfYbcmaat+wmNjYGAGLll3gAgGXLBY0CEHVj6z5CbxLhdS23hNGsFyKJMujKj1y8CIwZRd3wAO600gcBk2apocUcndIBuyfAHQ7hSYU0IRBbX6UbvuaKLvo0PCIDIsQl+PKHHl6sxECsfKTiNXImOCDa9MvzaYSEgOnkgxLZXD1LfwhCvemKG0pSGKTJDe6pgZyZuVle9GGLykBWSJ94UwCUtDRb9jeJ8pyEEKY1Ck+i+LE1p4biZ+hnDqbvA/cAWqRSgTB6GfwJUf4oThQyR2D8U6nnRLgSOZOiMsJPqGu7ayGBEkYVRJ3TNZpdUckZhH9ffverA3jGZ0YALtA42EBjhYfVGvXzpZDPLM3c2BOaiuoKn6bvt/nQ87e+T4zAGrUznx+r5WAtW0/OHoPWb7TGfksWeykIshrkLG/rN+Ss32iNhYJUsnKc1gaia+WTNq/GIZz4se0HRYzkOlOaFDA2YAUBdNStiCBIXj5ZzKhfSmiM7QuU+PLM+fgja+AUXabCfIXBFn8ilLRc6VY0CECEqxM0VQ9j3jcdg9Cca85IuDed4LKOY+7n8xHHgzHEBWSzXit7pCokKsOB+sEmvFr7HlUCQLUg+62NXzqG4kS2MuihZNFIXIUnIIxMjPt94ILXRs6JKF5mZJbx3Huu8ANX7raZj3xVh1zcAfNl0KUPvO7Fb8yEUI98eY0BcgawMoO37LWuDxE0OE8Kegg5U+fmXsC+WLp3GVxtsHkAKFHIbE4uNVwCNwY927vI8P/dxHDZ7xI8/g1BzRkB4M47UuTGUpSHDC0kBORK9J43OeAKqbSpBa98QRD1h0LAHrLjP/QorFoOkkV7PTl77Fm/0RrXAjnrF1rjOnLW2fqN1qiTs2azjSjAGvgEAPaQJSkpbZXt1E8ttZeTmfVCJi3OVNwy/dEBS17XyWYRf9ohZ6YgSI5BkUlrJBYBK1Bwl7f08eIR2meeFkhYy2dbNFXAEWmS3Stao9nPBzwIGN2l8AaNdo0TJQhiERCbZC4zbSZD4AK87qG+r9F6oPYHBIMFiUbkgXoQAznjfnKmEBDlhLvsYu6medMtAIBVzoebxpjsEQhIxJy7Qo6fFuRM/6I8y2sMMeKPocJEEdagDXgCh354GI39wb3zZdl7ME/7yZkan8XNJQgILD+w7Cf7wrw+OYhKhEwjZ3qu4YBwOHiDS/GkpgDXMvEggZBtTteq6QbjmkUSrd/8l0Hc+LCF2WXijyE5ZxKVnGV/oczm83JOkQ3NvTqHtyJVZHmDB8iZvi4iH3ZKtWzQGkm2c1zetp6cpbC1oKSlQap6WXPWL7TGY73mrF/Q17VIzhqNmOBsjXwKnVfRLg794HAoSNVBCLNIrkgto0GQxlVTY6EkiEPrbbSmKqfLZLEA/GlBggwTkcSD5OSQSdkTqp/p8r0rmP3ZbNgfnSzqF3LcQac0CGSFI2Rgpu9b3FDJeaUNqRF6HKIpA8WWZ8kYQ1wQ0AKVQhAZJ2eMAstUbRLVPHidBEEIMFhsow6YgYWQPJ2ccYnU6fvlzLlwlJ9mU+y82ISh577pQTR5CIXxzw+9GStRqrzmR3MMUUpgDTLpjyPgLsewMKhi7PUAodaUZUJkIrtw2yKceeWTMH6InNcPnZx5wUm5IzB/2wKcI45K0NRbJmCWk0tNJ9gEsRPgb2o0MidM1cUxZH7zQs3euQAtSrEUryE3QQWA2RvnAiSPSpGnxv5GLjR9k9Zox3Ur72NbT85SWC+DRp189EtgnSYZWgtBkE7ImWkHDx7Myx0A6RLqfqU19sKffkXOtHFH7ua5S64UdfAdkj+oTfwanjyMGQsa3ID2IXgEtTJQBpLjDrpJa0RSXzG/PsfPznIxSgyaGZe4mHBaEU+fkkYIPnTxoXycUWaqgIkmR3lrWWU8YTqq3qz1awnzSmBNtUZHBjzc4yBUNoL1KYV+TKmC8AKVyFlSS4lVGKXAvCWfe3fRhbscUORC7RkMaf+hQrz8f1b+BLRGeVJWoLCGLD+pXr5vObb+NK8pkhLA0etZk8t+eV7wHwCJfIaQofxqTc15SJ6fyI0rJ6L8aUr750sqMGrONNIi0R/eCFQ23ZqRuQEgeYpw6OughWPU+G3sa8BddBVyJl/kIMH+UF7JmRs89ywhRvPdIPK+2YNW5gqtQKTmzBVgRYaBkwYk1ZOresYm9zdIqCVFXkDzQcxN5MxeR84ee7ZOa+yu5qwfaI2m1ev1vNwBkC6h7jdaYy/96evkjBAs/XIJ87cuwFt0Y1UAqUUClakcjIVqTyQ0FIucGb/LTfScaI2W2UAYCbTGyKZMXggDC4I0IeTuq+AK8TR8MwVKnn3cSq5BY6iPlytAbKoaCUsqjza9Q+wcauRanhOq9XC4rO1oyqB69qY5zN2s6Ho+NVb9XYFi4LhKLo3M55msIXGXPAiHw6t5aOxv4NB3D2PpbtlI2E/YAAwWRW5oJyHwa3N0YDhw0gCsIRvCk60r3GUXrqP96QXDAXDUgPBUbzrZzFxg/hcL8Ooe3EW3lRqbY3Kmv7cWc4CQqHAocA4x0vINeIWBwuiT8gYHb0qkmqtxJd9T4ztHZV0RQc6EECAEsIdtOPMOuKI4AhGmd04PvuMG6KuVhJzpB5/K/0qbS7msHy3N5yE3E4TDwVUzaq8Z0BoJI1h5cMWX9s/aqmXghqGN+NTGkzFybj61o3nZenKWwvpNaa/fBEH6XUo/b+u3hLpfaY39mJwRRuDMOlh5YEXuXteDce7TGgsE1mB+LSEJIagrzWW3JuQu7LyrEiPjQKGRoXxr3q0QjVC0lfYWBhgkC/Hz8SeEnBm9l4QrsHTPcuCPL1CSjx8hn4xAljd5UDoRbT2gYyJ9w3Lyzaz1YGXmy3sLIXfKfVpapC6PWASV4yqwR7Itxg8hZwsuyjvK4DWOlYdraBxowplV4kAG+jpYaCPdnoU/xEDOTOoyga9M6NW4j3qYYygv5T/TJ96UrRiEJ5uZO0eacBddOItO0OeMAoDIDRkKocGeROaFK2m7oWdbzweaEporcqaSVwMc43WZ7HOHw5lz/Bo9rZSaL61R11Gqf3MBeHITxJl3JX3PDRB8s142D2s0g3tmpUDOZI8zQ6kx40sVUkX1RT8IrGEbcCTa6dfnQq31VKGdOdy2Sgm4pTqOr0wch5Gd1exPkKOtN6FOYWtRL9QvFLk0SFX0Pf0d1sof87heWL8l1P2q1tiPyZk9ZKE574AQAlZhkZoz+bO0uSwbZ+ZoNdXp1q17cJZcKWPNRQB1AKFisxw3h1Vypv6RlJz5KEy+98tMhMxNGa/uwVsJnjkeLkHJ1UIUMB28KnpcHNLo08JyTD78eiGboLSlBO7IqyYIApGJ8I9ck8VFHzlz/R5VrEzhLjgAKUs/DOSsbIn8EiHaKggCACAyMYInJFVWTVEh5Cyva2QIghRGCyiMFRQaDB8Nah5y/PPLeTG+uXgWFqrL8wRogUqFPYXma/PZBYQE/+Vlviqq+jcBvBUP3JV1p4QENFWdUOfacSCKnLkCsCU12Kt7gMMlMgQEgiA51uVJQRC1KZOAnJk1XrrXGZD9WhuqfTUbcxOpSEps+Mq2gKagqqbYOTxolBK88DIPhx5sYrB8bGFRqZKz6enpvwRwCYAHAbx6ZmbGibz/ewCePzMzM525h31ga0Ej7JdAP813jqJYmlaXh60jZ51tXa0xvRFLyVhIiCGiAKh58fn7UdMJdV0p/1kqcI2RZefINx6StEYtUNJKX/TdMepAAAGS09hm1KA1aqRFqB5VWmlv0YVb00GapMjkFegDUYEJHggnKbrl/K0LGDp7UDb0BXzhiTz7nPm0PT1ATGEZnTBG2jHkJi5BgKaeqx3ZONhreOAOR3FjEVyjHQaSVygQDJ6Wz+42QbgJtWnOnANnzgF3BbxG5PrkCA2ZgiC0QMAGmEyihVAtPgSah5pGGzaZmOU5hkxKGi1QNGcd8DqPRfBJzqgQgJiaM4kCC0+gvr+hmncrfyyquIT5+eMnxmrcWlVLokIA3Pmm2gUIxpBE/UVuCb5jqDXaSciZfosSP3ktbSrlgpw1FLRrlgjQEoWYl0i+cIOaSkqJolqS3Na0f3wrx75vHAEhE/mcICfrOIynp6fPATA1MzNzGYC7ATw/8v4ggLPyca8/rN9ojf1ec7aOnLXaOnLWn8kZoAJqpdxWe3hFNjpFsKD14DFDXSNnNR70OWoRBAlCxpKVX1hkmVL6nKO+v4HFXYstx0XRl9zqqUxao0ITBRfgLvweY7M3zWH5wZXAr5yHEDVohNxR51NJEG9wNOeaSpZdUWN1gt8D5Ex4QtH15OmlsAzUe+pnD9BOs68YYQTekqw5Y2Xm0weD9hBAwUZu9GFKg/ouMzmjNoUz58hNGYfD00mjFpcg+SawvlqjI+cf7nC/LsdZdGRia8CdecifazNFZQTXtUIeeJ1j5aEVCCF7VQUUOeSKCgHwkTNuLK3c4ShMFOAte3I8m1o7ArltEgFoQc5Km0uwKgzUInAXPLAyDdV1+l1YckTOAkGQFGqN+jsIoHryAKonZcsIoTRggZh9DYuTRQyeMSjnR4fLJnDqeL99Rl7jiOa+HORiaUbxJQCuV79/A8ClkfffDOBvs3Sq36zfZND7reYs+t6vMnK2f//+2GbL/TaG1pMzwxRCRRiBt+Jh/tYF7RAAKQiSt9U12ql2zIUQfnAd+Kl+EKBs9yg5A4FzpIn67lZRHWHsZue5hc5Y8PGS8iXRReFyuIsujvx4VgYCmgLVCzEHo/CdO1IwQUCiVY2DTcAVstmrvkQ50xoZNeoEDSU5WYcTqDGaNMI8/WkRTGHER2NowUAXjKbPktmUJ2WvteaMFimsqgV30QF3YSjt5W9SCMhIGKkSHuICcAUaB8PrCCFKOTYvf8weVfo6NJRfDfmsHf7REfhPI8lfrbFhKRTGVxuVNOviZEFSzU0aMVE4Z56PfwQ500ZsguKmIggLj2nhckVvzMepphMk+InImfELybEQjhJgRdVPR5vOE71O8OAayeRM0Rtz8onkTb3NydIkZ6MAVLSCeQBj+o3p6elhAGfNzMz8OAff+sbWa866EwT5VUXObr/9dmzatAmXXXZZyzHa33VaY3tby+RMiyf4NRboNXJm0BpV4+eWJtQIKGB5Ime2FSBVrEjRPOL49VymaRqhb3kiZ77ihrpPKx6Eo4UcPBlE6mmHyP/lWXsS6ufjo0BKzGHeAfeEREO0S9qXvJKPGJU0ocQK/PEkhEFrzDdZpAZlT7gSFXKXXJWEyLFT31s3pPQBi4rcYihCIomQYV7Ng7vMZSDthq9P3uVUjpEM+fVTXN4zb8WFICRQa4TIVYmQUqBhSPsDkGIxQxZ4zcPczfOo72/4qEcv4IhGQVIGuRK0EVwhw5SA2lSOdQOpIiQ/CiHQSmv0XycE9rANCALPoDUu37+ip6NcbMtE8Nwn1pwZ6wihBHntbVMK1HR/w5XW+MNvD6PLFhlRgiB53rT8PjpPSwNxzAHQGpTDAI4Y770FwEeT/nh6evq1AF4LANdeey2uuuqqrp1ca1telopgc3Nz2L17d67n0o16Pc9re67Dhw8DAGq1Wu7+aGqc4zhtz7Vnz57Qv1dWVnLz69Ah2b+o2WwmniNK6cvzOumk40tf+hIA4Kc//WnL+fQYmp2dzf2e6b5ujUaj7bmOHJGPcS/GkG5lcPjw4cRzzc/PAwAWFxdz9wkAvHEPYkSAb5YrRbNQB3c4XNvF7t0NP5Cdb8xj9+6FpI86aqupHeJmsYHGyQ04dhN8TGD/3H6QBUn5cJsqQAFQqvLcrtHhw5YfyNYH6iieUoBbaH3+l1eWUQUgigC/wMMh9xDo7uwzogOHqB8sexUX3tkOOHUhdgjUqJJhFsDcvYrWSABcxLFUXkJtdy1zfwCAexM+ukjOB5Y3LYOPevAIgcv03CPgJ9Qne2ie2sC+g3tzCRZWlqv+PWuUGqifUIdwOZYLntyp3iywZ/ceeK7newa0zt1Z2eFDFlwyCADwuIelySVgQsAFh0sciHGB/QsHMLd7DoBMvsXJTew9kM/1OXCAwSUj8lyCS3+0TQisOMsgU4C3K5BBB2Ryltdz5rljfp+zlUoN9jYLfAP36Xk1ayV0fHNDA7UpNzd/5udKfr3QcmUZYlKN3RF1TQSAUQHB5L/dioPmqQ0cWDoAUssnAl5SNM6m15D3bFxAbJPPNgDwQQ9iRvnHBJqnNnObhwDA8XRNpAiPIf3qKEftoHrGCIGY9tC0OPbszec5+7/XMtx1I4AaYCVAT/pqNKYaICcCh+oHQXZnf89cD1hRydkKW8HSZDH0Ph/UfEbpq1dtgl9QgsM4DjYPgebgk/AEvLNcHGocyuU7H41NTU21fS9NcnYDgLcC+CyApwL4kfHeSQAunp6eBoCTp6en/2BmZubPzD+emZn5BIBPqH/2DxetCyuVZA+Y8fHxxIuZhemkwvO8tucaGRkBAFSr1dz90d+dUtr2XFEa3+joaG5+6cSDMZZ4jih6l+d1GhiQvG0TFYuer1yW6mQTExO53zMTeeo0hgYGBnL3Z3JyEgBQLBYTzzU4KIO54eHh3H0CgCM/PgJn3kXtUZk8Vk+rYuXBFRQmC5i4fBxE7AIAjFZHMDWVrwxv07ofAEAPMeAGgspJFdR21zF66Shqu+uYuHwcFpNjXxBggOc3phddgSUmk3e210Lx/hJYhaG0uYShswb98cUW5IYDcQjoTQwTT51AeaqcvUMFAY/IgJTOM5AbmaQPNTiKm0oQHoe37KGwJBFaIQjwU4rq2VWMnTKW9MmrtmKB+xSw8uEKBkYGsHz/CgABq2qBWJJKqNFX614LBWJj0zUbQe3sA8fhYY45sg8AYC/YKN5bRPNwE+WtZYUscmx61iYwIjf2tNBCXmPoUE3AJYoK2wCqB8PPz9I9SyhvK2NpnxxDAgSVB2xsvmgDaA51VQ4V8IhC7psx/vxyCVbVgrhdJvN+zRnyu0blMveRs+LhAip7B7C0a0nVlUkqaGGsoONYlA6WMLCvgInT8hE2mJwQuFdR0or7iqhukteo9mgNvO6Be8DAcRWQptxEsxsFFHYVMfnkicxbMWhzy+q5PxK5Zyovqj1SAw6qzRCXwL67gLGLxlCeyrZvn7ZCRY1pp3UMAUDzcBPOITnOBADyMwp7vIAtz92UCyNkagqwj3sIs/uT+5zpusXi3iJKrIyRc4dR2pL9NeJcoMbkRqZ9wGq5Rou7luSFUTlaqVEEu8WCPWJjZHokl/vmLLjYf8N+TFwxnnk/xzyt4yw4MzPzcwD7p6enfwDgDABfnp6e/rh67xUzMzNPm5mZeRqAX0YTs8eKrRWtsV1d1VrUnCXVeK1FzVknWmM3TaqP1vQ9i6s109ZvTajXaY2hEwc1OUpS210Kmr/2gtbYsOU943UP5amSr5IoXEndk87pHwSlHBUkLQYsGTLoVtWSPcV+uYTmoWZwrbQ8O4ESnMhTOEHNi47AwPEV8AZHeWsZxYmCRIZcAbeukMWc62CANs1WKcCbAs6s4zcU9qmxDECOqm2MknDNmartcJdlYiaLrkRoDOVpIcpeTCsG3uRwl114y3KO4ghaSOVhxPDHF9yJ+EMLFOWtZd8f/Xd5WVQQhNoUgzsHfdpe5fgK7DEb+qYRglwbHDIKNLQ/htJeYbIAIYDSxiKITYweVbm54lu9KOchsRwvblXaWoI9KOcG4clnL0+/2tEazfc13ZsbSiB5rmlEbfZcflz7+IP67pKcaY3ER87cldbnjCBS80nlnEj0/JiDHYPlZgBSSunPzMy8I/LS62KOeUzK6AO9r/EihEhBgDYNFXsZxOpzaMpZnK2FlP7tt9+eeFwvBUO6UUfsZRPqdbXG9uZ5AtffZeH8MQ8lmwZSzUKqAGrFRiBnPrwynZxpYQvhyNoT7grwmgev5oXEHCo5CoLYFrCgk7NFTxWQC7gLLhbvXkJlexmlqVJQ26T7L+WVeDCjFqbhgRYphs4cCg5QtV68adRV9CI5iwhw0DKDu+QCjEB4XCkjBoF1nsIAccki5wLO4SZYhYEUCJx5x2hCna+F1Bqd1rOVpsrwVlxfNEAQApvmq4wYvT6mDZ4uEWFxQCIjOnkdzAEI1tbSKw9yrhk4oQLCiI8g6ivCG16umw6y5kxtgjSDwJoVGaonBwiIrx7pF1Tm51OzIOdFsRK/lslYyf9H7v60EwQJHJKCRYDeJMpvXtSmRWIu2uoAh9odFWwg5ZngA8Fc7TVaN4dLW0tys4ZL9V/KiPQn55qzXHvf5WTHoMu9t16iHkDnXme9DPR1Ddy//Mu/tD1mLaT0AeBb3/pWap/ytDTJUL+2Y+hlcqbHUj/49NEvAy/79ABe8aVBVI6v+JLCsk8VhzPn9BQ5a2pVshUOQhXawAh4zQNvcszfuhAoloHgzI3tx9rRmsWMBsKLLkCl4p5wJarImwLzN8/7QRHJOUijxAgaYwJ93QrBUxvHvkx8juOIxSRnxQ0FDJ4+CGvIBm8KcC8sCJKnMACLSNcLAYAL0CIFb3JYVYbZmflAUj9vKX0SSNfHIVWEyDHFSspnABbhuV0fy1BGhNe6eefPOepl3YR9e46tkUzRFPMasTKTipbaN+WTO+vk2ruPmclZo/36SbR6bQ+SM9dWsUQzYT0X5g+S63OvlXtJEnJW13WdxH8tTyMqOSuQJCl9/2gQmq8Csct0ctZ6jawBC/awHRLbkmqNOSKLecr052jryVkK6zXdqlNw3ctA/wlPeELIpzhbC+QMAG688cbUPuVp/Yac9RutUdfb1WrJ4gw9TRj/6EZ8/c7/wfI9y7Kxq+5fw2US0jjk+PM5zZNvpayhdogf3c/xvu9WJM3KpnBXXHBHwJlz/CBkqCzwxktWEj7t6CxEa1x0AQLwOgctMnBHoL6vDnclQPJ60TMrjm7lm0pEhGeKOeSffLgR2p7u11OeKvmKZMEYIr5nefnTNJT27EEZBOkGudaABdHwpBoggA2DHNe/ajY3fxiTtC4OSNppBK0SAhBNDmtIqfGBSFpjjugrCGmr2Oj7Fdlp2DaR3z0zm1DHoYuGV9Ijli8CwBjQJDqwTlL+07/0gOFQUJTFBH/8Uqv892SCxLRNcmZVLVSOVxt9ajcm71Ysuoa1kNAAwkQ77REbhQ2F3PxxYtDXFjM3PnWfs7wetTx3xXK09eQshfUysAY6J2e99Ofyyy8HECjuxdlaIWc66E/jU57WbzVn/UZrrFQqAKSKZ5L10qemUkQoRIqoWYnJepi5ZqsMeo7mqOSstsjxkRsqWJ51QQsUXl1KfHs1z1/Qnn1WE+VCftfItoC6scASSlRNjqRbyv9EBDnLb8c6tKMfs+ALLmupuNObZBHQktHx/XykE1CCIAatUSDX5KNpBPq0KOunCqM2Bk4c0C75/cWesdPB2ZvyQ19l810S21tMGzcSJEEAi+VH+9T7K52QIT0d6Hc3j/UmOfObcsdYKMHPcWinRc70gx/Mi/k5pZMzNNtvNOrEQ/Sg75rexCPq+Y4z4f+U/pAcBIBCPqnkz0rYkKbGW7REc11jHRZux3BwKabGLYqcUdlzMBfLeUzkZevJWQrrNa2xU6+zXvqjE6Ck5GytkLOk5KxfkbN+ozX2IsHvx+Ssrqa+Ig9fo/L2MoQn0Dxi0Brz22vwzVH0nYonx1BhSwnFjUU0DzkQnpDBkpEM5UkDsVik/xIl8BpcUuQc2b+Lq35M0qHArzyMUiPxiEvO/Bor9W/1et4UsGXdz2e59Tnzahx2NZgHid4hzrGmyhdNabNjXTRkrfMWl9DTiqvOEU0+rCqDPWSDB0zdXOnDQXKmkKF6u+QsnOAPV/O9RlpKPwk58+chK2fKHmntc5ZoKujNc7oOkrPOtEYAMqLN87lnJLF2EYA/prUwEc1xIw2AX5tIE5tQm3N1vv64xhj6/E0F7HzfMN7/rYhKovKVKcohoSQ0P2VqZJ3W+Ji1XtMa+6nmTEvpJ9ULrSNn8vvOzc21PabfaI29TPD7MTmrcXnPbMGxaAxtQgmqJ1dDghM05wJqAOBqgbXV1j0pWzIpWvEglHJjkAyRgF6Tg5nJmUajShuLftNXXg8jZ9A71jlZR+TMFQAlobqdXgiCrDCtStb6nA3urKK4sejHBIzm6xOjBq2xTaBPWHCf9G51XqYfGa+NYiO1KcpTJXieseOQM2UP6B45Gx7IFzlzExQktQUIPsl3w4HB73OWWHPm37IezIsqOSNN3hap8pMzjcLk6BYlwJJ+7pfalZ1ot4hKznJGzlTyR70UYwj5z42OetiWlwXe9GW59n/g29HkTP6gmqqbZ81ZL750DraenKWwfqM19hty1ksp/U51S9p6iZylGRdr1f6gXZL6q05rXBGKpy84/vz6+CQ/oBPl7g7gJ2cKBVLDt7y9DEBIWX19K2m+yJlttdbCFMYKAJVJolf3pOhEBDnriSBITNDIPQF72EJxowwAhN4pzTn58JGzmORMB9HEVEnL0ULoYgJFLoAVkS8Ko5GzDjVeroGcDZwwkJs/Gjmr+8lHm41P/6dCzvJzKSQIkoic6eOtnBPYtIIgojfPPSCpnHWdwLZBz4K1nvQkyT9oy3mmeSB+w9pEzgiB6luXn2nkrGolCIIY9yzvuUgLgvziofYn0oIqTDEKckW2jk3gbD05S2NrRWvsB+RsNbTGPJGzpaUl//eVlRVcfPHFeMMb3tBy3FogZ6Zdf/31oX/3OsHvhJ71Y3L2gQ98AEBv7t0Zp6hkiHPcsjt+vPr1Qj1AzoRaYHUjUVfJxVkVJvvSuMJHI6yqhZHzhnPzJYzCGGgUJRCeDNx4k0cCfeSXnJmCIHFBrCdrrEKF9znfMmYgZ3HJmW86JupBvZDTIYg1HSI5B0Q6GdK0Pd4mOdOPOiGyFiZvfzojZ5rWKP89kmNyJu9ZcvIKmLTG/NHXRqoxpB2L/MzLJ33P2lBRo/NQ3nTm/baMiRptkjO9tgqVLGqp+7xM0yYrTOCrv7kUewwxn/u8kzP1zLM2SJ4ZLhIlApRrHJLzRl1edgy63HtbK7XGfqg5Ww2tMU/kbHo6aKf3k5/8BD/5yU/wsY99rK1PlUoFb3rTm3LzB4hPzp761KfG+tNvCX4vk7PZ2Vl84xvfSEz0AeCOO+7I3acTj5fXpyi8tiUKPUXObIPWKARC6xpRSYmaraklE7S8jFLi0yxDyRCRwStvCkm3NDv15ojE6MSDQ8nER2o9Bk8fRHGyGKAePRIESao50+bTGu386s20P8009UJ+ICvyRTzUZ7tJKptAiNaY5/XRyVlNIWfta87kT94D5CxtQk2MX/JMPCzWHXJGZPO+XI2SQJyorYKkqUxE8+U1UgIctmVtVHM2XgDMpzXqZLFHgiDCFbj0+Na69+tfvwi9hAmC3PucuaotTEHEz4seD5A8Qknu/shn5tjDztaTsxTWa9Sjn2rO+k0QpFAo4I1vfCOA5IRR+/Twww/jwx/+cG7+AMD999/f8Zi1osa2EynpZXI2MCAjnCNHjuDpT386XvOa1yQev3///tx9ssuK1sh527Wc9PAaEUsWmlMADOHkrHKc7MPWy1oPXSdhUuQIIYAnUNxYlEmbSZXJMSbScsvtAkcdsPo9vHx/8/EHkPFEjRmNw9uY3rGmhIDkmOQzg9ZoNuNuMWMM5Z0sAp2DfV8QRO2g52UtNWcdkjNtw9XYwzIxSoN+ggt3LHak4jOWbyBrW2nVGtVPdY9zTaqZoRxbbxcPqV9ynoe0Pwu6zchC/NrK/UbvctOK5BcOAQiSP+GKFlGdLcMc52/zMDGgJ0eR+/pxqKaSszbggmfsC7kLbu4Km3mL1uRlv/LJ2Sc/+Ulceuml+PSnP932mH5DPdai5qxfBEEAoFiUO1dppOt7kQz9x3/8R8djej2GNIXw9ttvj31/LZAzbZ/73Ofa+gP0NjmzBe8Y79Ccm4gCUkZcU5wsIUJtdKhNwzLDPaBZ6gW/BTnzBAqjNggLAlmiI6K8lJCV4EizA8pg7ljnPayleELnZMhvtmoh16L3cP1SGtQj39qTIDlLvmeeMYZyZTapz/dRmOU2yrrqwdPI2ZbxfNG8m6oTEACaB5ptr5FPa6T5UtIKdudnTPqjfvov5OeTiZx1ojUKjd7nXGu6YMkeYe5im41PEzmjBCTnPpl6Iy1OVOZrr1E0R33PKMm95kzPi9E2NdpcDlDlkFfzckfNexVzZW2/8snZo48+ihtuuAEPPfRQ22N6TWvUyFMn1KOXao39gpwBEj0DgGaz2dGnXlyjd7/73R2P6fUY0vasZz0r9vVe+mPbdscxYSbab3nLW3L2CLArwQJCSWtwLYTwJ0eW884nEFZuszlHHF3fDKxz96eoTuKJkEpa8DsJ7VjnTbmiKcQKovNQrsgQSUkB08fb+QZpjAb1XSsP1tr3zdKBrMPzlRzXAhwdUI8QcpbzVM0MpGrupvnYY4QZ6APYviM/pyiV9TlakbCdKIhf2kXzHdO2iVIlIWe+yE3+E5Gsg0umoppQOelBzZlGzpbvX4lFO805kiB/5EzXtEXp3q+7pIHjxgLEzLecb9sSs+GBYNypY9xpjRs5N/quUTmuWTnnh58gdwpu1vYrn5x1E+j3KrDWPrVDhtZKrbEd7aLXyFmn62P61ItrpGmWSdZLJM+0gwcPxr7eyzFNCMHQ0FDiMSYy++pXvzpvl1AY0NSLNjVnJnLVk950QXBtCw5PxJzT3/3M3R0UCyRWrEAHAPaQFSSJFLnXeoSCtLbJmfJXI3l57uiHksXOtEbCSK61i7LPWTAw5m6cSzyeN3tTc6av0dLdy/F+eCaSl+/AZgy4uTou/dqfLOagkTM7x3ohncAKhai2bYFgjKE875mkNSbXCEp/Ir/k/Jx1SvBNejVyrqkyaY3L9yxj9xf3tBwTQvApAc0ZOTNpjaaZ4VoIxMp5OasxC3dURsAAnFBfbHnf5cRQsZUJ9dBZyfHB0Roh4etxLNh6cpYiOet1YN3Jp14G1pZloVgsgnPeVsZ+rZCz//qv/2p7TC+RM02zTLK1Qs6AeGGZXvszPJysLqiTs7GxsV64g8KAHBeTTgPfv8/GD+6LjFk1pD30RhCEGb3FbMFxy6MxJ/V3G/O/ZwULaGrZcYXC0BJFeUpu1pS2lEDLyke9Y51zsK8Dx13vuSe+ASzv3e6wmSxqCtjuL+3BQ596OP54RnKlNTIGHLaCeag9yiCvkVUkuV4iPe3qwHr3P+/Bwh2tgVqg1pgvrRGQ92yvUtprl+Cbjcw/+OttqI8Z+gMAnOnguh2tUf6kNN/kTNIaVY+q+1bwV98qhHpA+mYKcJg/czBmJGf/dSvDfYda1/NQzRnNfx5aVskZgDbJmdokAmSdac4hiI+cRZKz0J6RiS72ICbSveDsGGqjSWskugl13qUDBDjWoLP15KyPkbNOyVmvkkUdWM/Px1NB1go5My2aIPYSOUtzjl7fM9P+9m//tuW1fkvO9FiPu7d5WKEqx+gliwdAhMBzPxWu/Dd75/TiCpmy2pbgeM0XW2XifHGJniBnhsy3E4wVeyQITFp6ZuVcw6RRmOahJpZ+2YrEBDvW6o7lSbMkQD2CMjz6+d3Y97X9oVoUHVgzi+QagFACOJTh9tM2AWhfD+M3fy3S2ObZWfoDBAksABy54UjLcX7NWc6CIEDnZuZAEOiXbOB3npFvSw/9HAsafs6i5gNULN/g0jbUGgHgq19v4t9+ETMfa+onF7mHuyZy9u+3UDzj72IUWkyhJIL8e8F1oC4E7RiI6l+Z78D2kbPIhtVyMzivT7XMOXnVZm40Rs3jRt1iL8OhYys3W0/OjsXkrNfiEt0mZ71CzpJ8WMtkSNsZZ5zhy8L3+p6Z9sUvfrHltbVOzm688Uacfvrp+Pa3vw0gQM7SoJBZ2IYrJ/3fq14MPVZN5Jz0JhkCwgvalbN7MHdL5HnrIXJWtA2Z73b1SzwsLpF3rQc1NmDiEp1e0lbMZNFr8NDmkBkkmZS06on5N1leKSoluTbJmc9ELdDc6WgA/AbCQPxcY9Iae5qcqYS6harvK+3lX1MVRc7aPWchCliO/hRsYNYK1tYNTh1LjdYz6sDaOdKU6n85q5Dqe1biHIdXWidjXYsrAIUM5YtQNzpQKUxaI2X5C3DoPmfRfovL5r0zk6EeLPm6fvqM5Tn/tS/cJMeWxyNU3V5YD9o+ZG3ryVkkERJC4Mc//jGWl4Od2V4H+scactbLJtRAfHIWFU9Zy2RI25133unLxq9lsnjgwIHQv++++2488sgjAHp3fUZGRkL/vvrqq3HXXXfhKU95CoDeJ2eF8QKwQYrdjHgxz5neHQbpSXL28P5gQdvaWMHv7rkDu959T8Sn3gmCFOxAKt5dSpawFv6OdY7IEAVG3YBjFadI6Dd/7VWgT4JA36QUhRp3q5+UAdZQnr3p5M+aSs6OHEyuz6EWCTftzth04jHgBfNyXMsBbiJnOZupsOnOu7jlt27FTS+/BYu7gsa9Qe8+5D6G9OPCWQfkTKOvhkJqHmZbQJMy/GxYblxZgsfGsz6Cb8lEKFdE2HjOnrAQr+Lrhx+6Z1bu9Ork+CaYh1T7jJwnbHtMidzcPB+ae5aNZS20GdtD5OyZs4+irOaAN35ZqjZ7ghiCIDnz4bWt15wdexZNhD7zmc/gkksuwTOf+Uz/mF4H+uvIWbLFBfDR5KwfkDMgULns9T377Gc/6/9uXoOFhQXs3LkTf/M3f9NTfwYHB0P/PnIkTHHqdXIGAHRILmrDrnzOVnbX4amic2HsxvbiEplS6Buc+NpObb1QSSvawO6CXEx335PcNFwrpOXaX4gCmwzlr9iaIX/xJT2iWQa0RpMmZ4opaBeoTfxmsXmYToaWSnLt+NGMh2YMeOYH+iWK8rZK6wEZmZ5y7qiM+K+5Sy64w1HfE9xHf+mQsEdu/gCqF5wRWDcPNuEteXj087v91wIZdJI7Qq33MDWtcfanc7HH+Qm+TUPKqVlbQS3bh6kcQyXuIbYMTqMwNgUt0B40D5cnPGNlLv4gs+YM+a5pjAXtBtpZqPdyD5ChicsnwCoMvB5+tkxaY4iC3gNzjXsw1VwJv2fUnPViE8Q/zzGWna0nZ5FE6J/+6Z8AAN/73vf8Y9aK1vjSl74UP/3pT1ve/1VHzs4444yW11772tfic5/7HF796lfjBz/4QV8gZ0BwLdYKfY2ec+/evaHjenV9nvOc54T+HU2me11zBgBMIRnDroPL5/fhtjfchtvfdqd8UwQ/WA+SIY8HydmYG2zKmM8W6eECW7SBR4qShrfnnjY9Dk1hgJyl0CkB7ioH1Nilu5Zw39/cj+YR41r5tR75+WH64xAKQSTi0TwU+KH7npn3buzcYbBSfvOifsT3jsqanFNX5rEYl1Mrl6wBhurJ+dEs9SPzrZHN2PwcWQfH6xy7/uQe3Pr62zD/iwX5moGc9UIQhMecxB4ONhOF8TNvNE8n1NUDkqWz+5/34Oev+wUOfDOqsKvWjgKJF8LJyGx1GWpU/lLiXpuWHuonC8Qo8jJKgP8Z2eL/++RaTAxiKoLkTSEkwaaMtl9+4D7c+ju3+TWc3Kg5I4zmnhRQi2DgFPks1x6q4e2P3oY/e/AmrJjPvzB/5HvPvvrHInSGqUbAQvvfXyvjUz8pGHWUubsT2LGVm60nZ9HkLA6tWqvA+tChQ7joootaeoz1OvHQCnrtZNmjyFkn2fSjtXPPPbfltc9//vN4xStegU9/+tO4/PLL/Qbea42c6fP3+p7ZdiDcYCbL0XvVq+vzjGc8I/H9tUDOrGF5jUbdBv73o7cBAOqPqmfN2EHvxS3jPEiGnnf4If/1sAKXrj3J35+CDRxR6n98oV3DXvlDKjXmW+tBKfCXW8/y/737S3tw6DuH8eDHjWtlBiDE/19u/oAQrGyXc90DHwv80NQik4KWJ4UQCAL9uVIRC8xGlbs4ss+FV/Mk3ckNQVS5j2k9rThgqJ4hUXOvwbHwC6nYeOSHEjnn3Nj47EFyFmeF8WBDyBRzyBuhjvv4xr4GHvjbB3Ho+4cxd7NMRPTszRgBckzOGAs36i5xD4v1mJozX1WGgBTznYy4AB4pBSIgf3P/z3Dou4fgLsk5qXmkCaumaoap9C5Pkwl++Dsf+eER1B+t46aX3AwhRIC+Qin95p0UEKA8JSn6S/cs40nz+3Du8hH85lkmXdeoD875ObvmEgMZA/DO3bfj+QcfAAB86idFfPxHpaB+mNKeMEEIIccacLaenKVJztaK1qhtYmIilBj1Olncvn07APh1SlGLImcnn3xyrv7Yto0/+qM/SnVsvyFnazGGzHP2slGvabpfXjtbi+TMHpE7xK/ftyv0+uxPZ32amkBvBEE8LlGGqJkUuUBSO39/inbQz0csx/cT9MeSrjfLmdZ4sFBGaXo09PrsT+YCcQe/XkgKJ7Tti5SRPwCwfNwIAInkaYv64wH51y/pZMijOGDLQO3I227BzItvxq733IP9X5f1Ov4YyjlZDM0rSrDAvEba9F6RTnbztHaEjhBVsCXB770/AHDfX90vW0aYyLlNcq05A+SmjE7OytzDR75fwid/HGEz+MgZAc2xDxwAvP7ZrTfhvg89gIc+9Qh4g+OW37gVW25ScvY9SDxYB5pifXc9XItr9SApIEBJJWeHDUXUJ+99FI7eWFM+eMteT5AqGvnSv3Hg3tC/iblJ1KOas2MtO1tPzrpAztYqOVteXsbll1/uJ4m9ThZ1cvbww/E9fEw05v3vf39PksbR0dHOB6F31+g973lP7OuUUhw5cgQ/+clP/H/3wkzk7I477sCf/Mmf4E//9E9x//33h47rZfL63ve+t+17a0FrLA7H10be8757cfOv/xyAbEbbi1vGObDLoO35r5u1VT1UayzYwKIlx1D1jsO46bvL+Nef2+GDzFoPku9Y8pOPR1vr8TRFzneLAGyAtaiX5eFPfax100GoxJ6bdKucjfnJGcF+u9WnwzfMKud6t5YNqpK2OtpnIZqm1ytaY5zxhqG0acqg5+xQmsf4/g8/4P9e2VzGwAn51QkCUk5fJ2dFLp+f3/t6+JzEIMfljXoMtNnTm7txNkRplg7lj752+rorD9Z8NBgEoIzCGsy3zIMQgvI2mZw5h4ONtL3/uhcP/f1DMn7VLhV6sJi1YZcSIVDxHJy1fARM9O651z6t0xqPMetnWqNpd999ty/y0Gt/tm7dCgDYvXt37PvanyuvvBLveMc7euKT48Tv5ketV8nHy1/+8tjXKaV48Ytf3HN/omPoj//4j/GHf/iHuOaaa0Kv9zI5e9e73oWdO3fGvrcWyFmh0vn5qVHWE0q8xwEQgk9uDKPOvCll2mU9Q+/UGiVyFowh90N3Yukv7sDP3ninTykyk8XKjmRk9GhNB9YiJuHS18NEQKyqFW5KnbHpIG1xW0xC7XB4DQ/zt0oKnxSV6U2g33TDcujaCqPhxLoXjdUn1KVZ4AnJmbqfbsHqGa3x7cdfGHq9WQs2QMzN9dxrzlLcg0PfOez/XtpYCFEw87ClWpCcXbqwH5uaKxhz6hBCBBtFRs1Z3vdMi5T82bazQ69XT6vCmYvEAL1AzjqMCXfJDYnKjF0yCnvITv6jozUCFDfGr5uHv38Ev/zze/3jaC/UEQlpQc4Amez/+YM34S8evAmn69pBkn+rAXWiYw04W0/OdBD7gx/8AF/+8pf9ING0XiNV7ZKum266aU38GRhQxaa1eBW5tRDfSJuc9cpMpMo0xhi++c1v+v9eC+QsyXpN+2zpK6RsLZKzYorkrE6tngSyOo9YZmE0jzc4Hvnso7j55bdg46ykhZFOEUIGVrCAuUiQv7M2D/HwMvZ+dR9WHq6hNC/r81iBYPjc1iQlS9PJB6m23owD/3MI97zvlxCH5BgShIAWaa4bpf4toASsEvbpkc/uxswLb8Z9f3qP8idHR7Q/yoVb7i/6LRBMs6ryNV/MoQc+6eTs73/RKjziLLi4/6MPwH5YJrDNYr4KvwDgqD2FuyojeOdx0/7rc989hEPfVUmQQj09ln8tTLdCQ7QHiDkA3F6RrJQRz8Gnfvkj/OM9P8DNr/g5bnzRTXDmnUDMoQf1uEU1BR2IoMFuQ8QmZ72iD3/7xONi3/eWPHBVJ8x7JFsPxVqgpfh1wVcBJehJAiv1oVpn3zL3cFJ9MXysbn+QsxFgHTk71sxEGN7ylrfgl7/8pf9vIQRuvvlmv+dZrwLZG264IfZ1nZD0mmZZKknIvNFooNFoYGZmJtx0dQ1k63/913+9Z+dKY5RSnHHGGTjxxBPxxje+0X/9u9/9bui4tRAESbJ+SM7uuOMO7N8va2J6mZxNPGEU/zk6lXhMndKeBLJKvwYrNHzfDlx/EIe+dzis0taDx8xiwCG7hJ8OTrS8t3KgidveeDsm75cBrehBsqinltJLjmt5b/bHs5j96RzIvwYUsMJ4ASxHsQLtjxeTeZly1oDslZd3kOYagGItZjfB73+k145eSHyr5Ozzd7cmZ7M/nsXB/zkE+5Dc8HNL+SNnNYMUc8fAKD44Faj+3veh+zH7sznwR+Ra32D5+zM5In/+rNr6jMVZr6bq/YUy/mN0a+g1d9EFBDD7szm/6TNh+QfWqm1fi3z90i8WcOi74XYsvVC70FPdt3cch0cKrePaXXYhVAP4up3/hgOA4Dun+eo9SGCB1pozALhybk+rO6x3CeyxBp2tJ2dGcvboo4+G3vu3f/s3XHDBBbjzTimv3avkY25uLvb1aHLWK390wFyv1/GSl7wEF154If7+7//ef38tkLOpqeSgei3s1ltvxa5du/DhD394rV1JbWstmAIAZ555Jt785jcD6G3NGbUorttyeuIxNWr1ZMe6HQNv/38cCNURAAAdyH/R10jMxzad1vLe3PcPh/7tDOZ/z3RQRFXj8DjTqJAgBIOnVTH6uHR1qasxPSREii3ZXoQETWOIaCl003QDaB/16MHSMTEifzopTuaW7dwD61qEFGPSdgHgnj/7JcT1MoCsWyz3xOOSM+XPv9x6Fj60pbU9TIv1cKq+p9xGcdmYqAgRud+zgk7OYmKd2Z/Mhv5dXmr0jBrb5MBKDC9171f2wfu8rOtese2erK+EpKNOk15RCNvUnL0qIgoCAFaV9UStcb3m7Bi0JHrcl7/85dC/exXILi21qloBwD/8wz/gSU96Ej7wgQ/01B+NnO3atQtf/epXAQCf+9zn/Pd1crbWsvVrbYwxMMZACMGzn/3s2GMOHDjQE1+ikvntrNfJWaceeL1EzrS9Z/u5+N7Qxtj3vB5J6et+QndVhtFJxoL0IDmz1G1aiKlfiprbg+RMTy2PLKTgmBJJl8kTHdLDOE1ZWy9ojU97fPB7PQY5m7txHv/0EwtNJX5h5azWCABlPSwIwfUjW3D/QPsWK27Zzn1nO5qcxQX8/nsWyz2QPVG176ozC/8zugUfimwUbf+Nbfk6EGP/8idyXBy24zdBDn33MKp1BUFSIuvOcjSNnDVSnMhy8lci1EOm6ZHQc3bS205oObbWM+QM6TqHaEXUvB99glhRojhjVdaTTQdCjjngbD0502IXUSsWi35Soq1Xgexb3/rWtu+ZNLk9e1ph4jwsLmDWdWjA2tAa+91e9apXxb5+2mmtSEQe1q62K2q9Ts4sK3nBWovk7GeDk3j/trPxylMui32/B6w9X1L8sF3Cy069As8/7Ultj+1Fcqa/c4NQzLLk5Mut9g45++3/HPFf+36bhLoXpjd7ud62TrBe0Bpti/gow0qbIsmT/vzHfs1HStbzUVnBOMeHp87An551IaZesiX2WFG2ct/ZdiLt+pZp+4uQb8WitKgS4f+MTgFbA2XEcs4iO3H2/CfKgap7HEZt8c4ljKq+qyTn9hlAkJw5KWILu+Hmvp7peWixEU7ODlZaVTTrhR48ZABA1HpvfPWtL2tlFglHHZPzNSKE4IuTx+NrY8mbC5zJ2uCB4/NVID1W7Vc+mp6cnMSuXbtaXt+5c+eaJWfvete7Uh3XTj0xa4teByCcnK0FrbHfbWVlJfTvF7zgBbjzzjtxwgmtO2x5WCeESlu/JWe9pDVG7bBdwqe2n4bS1mC8E/Suz5m2RauAGrPw2Q0nxh7bCxqIn5ASgnceP42/moqnXdUogzuSf0LtqyM2g5vRLoCca6e/naU/Wj0SBPuMXeK4kJ73ko8GlTB2sF5s6sedY+uLp3Dy77WO67z7rsXZ/eVBfHTzTtxXGmx5r+Tmj8LEzb2vqFyAGwYn8ZUtxwOnRkR2eniJDtudn2lStfJPhhT63UgBY9p1J/eIVi+r+5YZPrPhJLgg+PSGk3ALhlqQ+pUeJWdSmCXM8Bi9KJ7S3QsRFxCgxix8fPNp+P0d57c9rDDAQBlBYbIHG7LrNWfHpp1yyikYGxsLvfbzn/8c1113Xei1XiFDaQPrffv25eyJtHXkrHt7znOeg4qxmzY6OtpWRj4Pu/DCC3HmmWd2PK7XyVknoZK1QM5M+8rgNpxz3Vn+vxuU9iQmimOhfmnyhFh0qBd1A5YxBe0pDsQGsADw2pMuCR+ck3Uztewdifc1S9PJKwfBH2w4Bz8ZnMS1J16Em6vjLccu2PnXU5lWjAymRwutO9Plze1r97KyQiQ5279I8W+/sFGKObfNxJrUhHxjbCs+trmVzdC02JpsNh6xS/iz7efiU6Mn4eG54LmKCnTkbUtG3WI7JJYM2T2LINPULcrm8/neM3Nf7KHSIJ53+pPxr5PHY75Bcc7Hz8KW39rhv39gsFUwJB+nACBc/9dWDKnHIdqt1fFYUSkAsEdsgPWmbADkMSqlPz09/ZfT09M/mJ6e/sfp6WnbeP2c6enpG6anp783PT399enp6R6NxuwtTULUb8jQhRde2PmgDKxTcuYpqbn15CywSqXiq3yuhVFK8d///d8dj+s35GytkzNtUy/eggdLVXxy4yk9kdL32pQIRiWkgd5soEenw0abi3DELoGS/Fe9uKmlXS3XvZvSqd8djekgbalJsLs4gPduPxcPlAZjhR3S1O1laT8ZnMQ9pSF8esNJeOdx03jLCY8He9VJ/vv/NrYdlQ35+xSHnP3WFwewe6DaQm/sQX7f1u6qjOA1J10Seu2GHdt6ilTFWd0oh7+xTYCbmxnrwn+0oaeRQg8T2ITzvGf7ufhlaRB3P+mk/JGzyOd7Kml0OVCcLOITjkyi55ndEwQfkGu4AMFJ7zgRtExx0jtPBI1JzqZeNgX0gGId/XyvzQkHThnoCTXW9+mxlpxNT0+fA2BqZmbmMgB3A3i+8fadMzMzl8zMzFwB4CYAz83Hzf6wtaRcxdl73vOenpwnLqD+2Mc+hh/+8IcA4CchZsK2bmtvaeT015GzVpv4/RHcfOZxeONJF2FPcaAnO3vthCW+N7zJ//3gYAXvPG66R7TG8Dn2FSr4/OQJ2GWouH16gwz4e7En00nfprihgNrrTscr///27jxO0qI+/Pin6nn6mvvYWfZgT2A55SxgORaUc8WAioioiQpB1gMEfxGMRwLEeOERg5hoBFFBwWjwRiWSGEkkSEFAQQVEBVyXXXbZY+7p4/n9Uc/MdM90z/TSM9U9O9/366XMdPdu1z5d/TzPt+pb31qzjpzHmbxndpb+47eXSQdLRgWfE2cMBiHv3OdYvtGzikebOxkMQs76+cqx57/VvXzSrNZsSCbK/6P7RxR7X7CU1ZevAmBTIkMirG/W0Z9S49euv11+BEMpPylpj31F8Z4zh8o+98wOzV+vPIovL9yH+1sW4DtavGb54Xx54T58ceG+bDlicclzv860uxl8j026ZvnhfGTvF3Hhfify+v1P4mcHr+JfjzuUn7f2cMU+a+nvaZ71rIJK57rRwbW7n0rxhjXrePs+x3nblw5c7Np2SCvmq0fSfUIXQXNA0Fx6Huw+vtOdhzyn60Zl3vBXqxax4ORuf8EZ7JFpjccDd8U//xA4YfQJa21xqcMMMHnx1h7EZ3B27rnnTvl8GIa0tLR4ak1569at4+GHH6a31y0yr3d7RKlGDM4abc3ZZ1++q+zjF93WPDbQ5mXNWYUSjb/LtNL/rsNIf/AIvvCSY3i0udPLjf4b109+7CsL9+FrC1aN/f6NBSsBL3uITirmAKUX/bZD28jt0862RNrL5zU6gv5c/+Q36zi6o+T3oSrT1GdTQSluX7CKH7cv5rlEGh/LYRLT/LNbTuzmzrUHcdUq42bOZvnm6f+dP/XzB3xgf/JnLeOB0dRUD/16zTLFlWeMcMrq4UnP/eSJkF82d/G1ntVe02JH3d/aM/beH9w5Pnv2ln2O429WHOmlUNLE9tzTvogtyQw7whT/u2YFj3WOpxErmPWTUaV/8+g+g4nArV3enkh5/ciUxmU2xv9+ndAc+ulDOOSTB7Hk/MUc8smDxl7n+5pfKPN2Pz1qDYm2cNarfY6ZgzNn1YyfdQKb4p93AiWLs4wx64EPAyPARyb+YWPMJcAlAJdeeimnn356Le2dNdWUHt+2bZu3kf2PfvSj3HHHHRWfz+fz3gqCTOXwww8fq3gZRVFDtGnUN7/5TW/tyWazU75XX1+f92MzMa1y//33n1T8xne7liwZT2e6/PLLJ+0JNzg46K09+e4868+K+OLKYd70jz2Tno/ivLlnN2+a9RHZfZcs4DfPlL9jPv8HCwFoTrlz1K7h7WzcWHkLkJkQArdeleTPrytdQ/Xz1h7+c/Uy/jO3YOyGMZcaZOPG58v8LTNncLiH0cvV5/daw9nPP8Md3Ss4d9tTAGQzWQbbh4AWCunZPzf29bcArewsc91Y/JG9eOITzfTc6drwpf0O4IItm2b/Zj9axFRvcste46mNu/JbGdo4uw0aHGgGJpfP72sfoK8nyxU3dvKt3k5IAF072Dq8EzWLbXrnK+CPm9r513vKV4cLTtX0Le2GTyhoKnirhpzvyKPLrFW87cHSe43NO59F9fq4sV486ZGBojVof0w1EylFtHSIHal+ejeWH+CazfYADAd5+ovmF/IdOQYW9bNx4+RAd6bs2pXG3RKX6k9n6evpg2QTEEccTQV/9x/75RjRI6VBfHxJ61zbQURELpslp7Ns3rUZ1T/b/ch9Zle+YicvvXeIvv+Y0N5MntxhOfJBnk2bN5X58zMrtyjHYDBA78beWX+v3THVfr3VBGc7GD/DtgMlV2Fr7Q+BHxpjrgI2MCFAs9b+C/Av8a8NG7tWs15qxYoVLFy40ENrxtdxVRJFUcNsxDy6effixYu9tklrXTGoXr16Neecc463dXAbN26c8t/e3Nzs/fMaHi69SE0segPQ3t7utV2f+tSnSCQSXHzxxTz88MOTnm9tbfXWnufvfZ7szhyLR6YecFm6ZMms7pkF8P2PRbznM32c0jrCW+4sX2mrf9j15c5MJ0uXzv7Ux7JnJgeAkVJ8PFNaQKFNZVi6dHLfmkkR49/zby1YwbcWrCh5/pe/zfDhW9xxC4eDWe9DHW2uPcMjkz+H+x/sYuDITu7/6TAPtnSzPdnE4r1a0YlZPhep6vY2BFjU3ENm8ewONC7ojih3yU9ua6KlJc+37htPJcz0JVi8aDFBenaH0he1VR7UaHmuhfQOd0ukB7W389DOh3aSGpq+byzqWETY6mPvrMn9qHjdZBQHAO070nSOJGjdZ3YL8Lzt1GH+6e7J37NoKCA7OH7cErtCmp9rYcEBkwPdmXL8YeX7dNCX5Nlft/Ho0+PHKRjy14eefWgzQVMw5TlmaNMQQVNA94ldJNpn9/rxlcs38aP/6eAdR0RsvCdk4s69ieGQ8JcJkgsSLDygZ9ZT9bfes41EW4L2fSvvtdhoqrla/Aw4Lf75TOB/Rp8wxhSf3XcCpfXD55Bq9oXymXIVBAFtbXOnI4H/tMapAq8HHnhg3hcoKU5rTKVSZVMKfac4dHZ2cuONN7J27dqSWbRRmzdv9toegHRY/zGj1UsUH3/zTs5eM8I/vHLq06iPao3ujcb7xrEryuQVxnyUZS+X1ggw0OzOyV/t7eGp7e7G3keXHl1PtWNg8pu95ostqITmmhVH8J3u5QQ68pIitztZgV6OUYV+MZSb/ObplmDWAzOApmni0dH0NK+nRa0Idf3PQVPpCxJcs/xwrlxpxh7ztCyPV68t/+UfzimGi8awFQo9y4Noh5bf3YTeIcU5ny+9//G45Kz64MbTOsHjDxjmEy8fIJOAxee6WbRvdK/kitXH8LZ91gJxiqWsOato2su8tfYhYLMx5h7gYODfjDGfi59eH1dq/AlwBnDTbDV0tjVacAbw8MMP8973vtfre1Zy4403Tvsa38FZa2vpiF0qleKpp57i8ccfp6Ojw2tbplOPQhfFwelvf/vbsmvQ6lmB9Nhjj5302ODgoPd2+LrJmI77JCKak1Ofi3x9YsVBYO9w5Xf1UWmvUnB28d7HcfXyw0u2HPBxfLrjcbON26Z/N583adXy8bWvFLSfe1MLv99WeusxzVLUGZOZ4jR87+8Dzv+iu4b5qEA6SgWKRDXBmad+dMQ+5dMC72/t4VfN47P6iRDUbM8GA6kKhWXsMyG/3zZ+8gkzms5jy2cdzJQwVPzDhskzizf+b4otvaXHwuuas4Dp89LUpB9mT9E/vnlVE7+56jhuXrQfT2TaeSrdOva0rzVwLfs012VT91pUdUq01l454aEN8ePfBr49042qh23btk37Gt/B2cqVKzn33HP50Ic+5PV9y6lmet53cHbnnXdy8cUX8+ijjwJwyCGHsHz5cq9tmM5NN93E9ddfX/XG4jPtTW96EwMDA+y9994NF5yVSxG+4oor/DUg/qdnpps58xYNuf9rTk3dHh34uXEsrjbWO1T5ICQ9bCBcqZvuDJPY1tL1gtMVopgJC9qnfr64uaGnG5Ddegsvs4uVn/un/y6NknzMvgJkpriEn/358cE+n+dFpV0faRTXX/I8695dfp1XsY5VGZpXz/5+eYcsj3jximF+8tTUA5xKMevp5wBvPB2++K0sD2+eelRv2uvKTFKqqkVDPir9joqiaGzfOZUs08GVAg+fF0B6yez305nWQKeE+hodxX/d615X8TXVbg69J6pm5sd3GubatWt55JFHvL7n7rrooot46KGH2GuvyZsJ+3DzzTfzta99DShfKbGee7EBLFs2XgVsv/32K5vqOFtUQhMVItITrrHvOqV8aWs/IjLTzOT5urwuLBqEPnZl5bTG0EOwmN6NcbHMNDOPM2FBx9TPF9/b+5qFOd1M/xqfpgqSkxOe81X5b6qZs2Jeh6yCKoMzT41asbDAfRdvnfZ16Yz2crOvQ/jKK3ZM+zpf6d6tzXDn66YvgNSa9hic6emzv1wZfU+bPkNJsDixmyiK0hpFWRKcxW6//Xauu+46brjhhoqvabRNqH2qZtbwiCOO8NCSyqpJTZ3Pys2cbdmypQ4tGXfvvfeO/ex7ZlonNVEeUhNGOFsmzlx5/NpHeUjoqQs7+No/Z/VSxafX7+TbF/fykbMHeduJ5YNWH3tm7U7qacpDe6abOStMcWMyW778vt14Iw9tmmrJ75fvL/2u+5o5a6pyAN1vGXRdXVqjR63TzN7D7g2Y1EJp3VCV5FSVs1RtVRzDmaKDKto0urzLR1bjhN/LngM1JDsbZE1BA5LgLLZy5UquvPLKSeuYhFOu0t9EoyX160WCs6mVmzmrJp13NhWnyz733HNe31snFfn+3KSZqqZEnfqRgvxgHjVQeZYqfpmf5mg494AhTlidpyMT8Y6Tyq9F8ZFGuDs3gmkPn9/ek3deKFFcRDaK8PKhdbUpTnrR7JUR311DI5WfG8yWHhAf6xYBMg0ZnDXYjZiClnD6yp++PjO3Lmn677S3fdeq7BttXmfOqgnOlL+ONuEYnbJfdtLzSkGiQ4KzShrqnNAIGi11MZNpjEWM06UsfuxjH/PUEvFClateWe/gDNxaQYCenmnueGeYCjTZ3hx6QlA/cebF54y5TmpagqlvjPxVayy93le6GQs9XF9TuxOceZiFaW+Zuk/kinZe9RnqL+meeguWMR769MBuZAf7CPABmjKNl/2iAlUy01rxdR7PQ8WBzsn7Vth+wPNa3OmkfA2qVfnvrmb2ccao6ganvSZ/FTVnUVvE76/eMbE1Hhsz90hwNkHxCfC2226rY0ucAw88kHe+8518+tOf5sILL+Tzn/88F1xwAXfffbf3tvzgBz/gwgsv5IILLmDDhg185CPjW9o1QnVEmTmbWrmZqa1bp19bMNu++93vct5553HLLbf4feNCRNgUUMgVuHr9eJXIZB1L6+ukZt+uPG+tkEII/i6wSquSy2dQIfVqPs6cwdSzZx/+8fgUja+ZM4D3vW4XL18zdcXTT6/f6aUtg7sxiddoaY3lyv3PFqWrC868UZRsdTZxfWDJ67xQRBH8+O1TbyCcqVDVceabU937bOn3d3utqklr9HgeGnu/Iq1F6z19Fo6cqzydEuemc889l2uvvZarr766bm1QSvHJT36y5LGLL764Lm1Zv34969evL3nsmmuuYWhoiOOOO64ubQI444wzuOuuu7jgggvq1oa54Mknn5z02Pnnn1+HlpRauXIlX//6172/b5SPCFtComzEZScNc+0P3Sy1pwJSkymXalnIwQfOGuKp5zV3/mpyVOJt+76JM2cV3jfp4abodacp/vsX1d3BTizwMlv+5o2KDR8v36Znd40frELkr0N1tkZ85qxdfPvx8hkXnZkCrzxgCKWayz4/k449qPrX+kqR23thdZ9Ftvr9vGunYNcUW1UUv86X4l69ZmGef3+sfulnSrm0xsOX5nn7uiE+c0/5CNvXoFqVS85Yt7ryhuczrepsCp/VGsscpYMW5fnVswFnHDB6bCQ6q0SCszIee+wxstksyWSSdHruleD06cknn+Tpp5/m4IMPrlsb7rjjDu677z5OPvnkurVhLiieJfv+979PKpWa18csbEsQNAUUhgtEFYauLz+2D/BXhVQnA6J8nkK2wHUv2sydv1o26TXesoniyl75oTxBOqDSlkY+Zs42nAO3/AjufbSKF3s6QJecozhwaYEvfWmQmx5qqvi6CP+l2SvJR1XeWc6A4w5RXH85vOMfp39DX/uc7b9Cccern+fcr0+9htpraXsFm/sbaDmFcpUjfvnXO/nTTs3jWyq0zVef1oqxXSCn6Eq+CpSMFdaYwoa1g5xSKR10FiitiKoZUPCZilqmPd+7pJdf/CnkhFU5hutbi6zhSVpjGWvWrBkLNiQ4m9qSJUtYu3ZtXdvQ3NzMKaec0nDrBRvNrbfeyvLly3nggQc466yzOPXUU8sWCZkvMkvTZPZOE+WjkuCsMDJ+VVnRXuUanhmgUKiUIipEFIYLNKcUd721lxWdpW3wW6xA0f+k226h0oJ7HylpWitOP7q61w6M+DtAxx+iaE9O3Ud8Z6ypKSojFKLRktp+2vK2V8BRa6Z/XcLT3n0qUByzJMvqadbm+ZrJAxe4v/v4PpZ1TL6bXdnl7/wz3h5QUcTitoijluU550UjHLQoz16thUmv89WeavioGgvE352p++txK7J+q3sHaurIFSDyOEikVNkBz7Y0nLg6N3YOmscF0Kclwdk01qyp4soixBzwyle+kqeeeoojjzyy3k1pGKN7nVF0D5TdOl5mzlsKIYCGpr0zUIAoF6GTiiOX5Xngyl6+8+bx9RZeZ2GSaiwVJtdbvoqkr2IOQZUpOf0egzOlp88U8r2eSE/3eXhcmxsEins/O/3nEXrYyBxwdzxq+j7rtbS9ArNkhP+7atekp0ribJ+zHkXnmOYk/PQdvTz6nl3cuWHqdV+z1p64zw5lKx8Eb6X9lSJCceiS0vPh94uOTaUsg9lSbSl9X31IVZg5K3kNkWQ1TmH+DptX6cwzz+T666/nmGOOqXdThBAzTCe1C4byUdFjRZX2fN9YpzTDW4cJmkLXtlhxBUKfo406oceCwcE/li804WvytdpS2QNTlHCfcQpWdkwzu+G5D6lQ8Z0Ld/HtX6dY2pbHrMhzzufdFjH79eTH0tZ8qeZzS3ha6KmUQic04TTBl68CJTC6EW/5f39d7l2nuIk/ZkWe684ZYE16CJSndO+iYPGRTZWjam+FnOKvz2fOG+C8m1vY3Os6eHGV31B5rKobv+G016ooItmZIMh4GE1TVFwqIKojM2fTUEpx2WWXceyxx9a7KUKIGaYCdxGJChGHLHRrBI5dWrRWwHPeRZSPSPakgAiV1Ox6ZBdRPmJFV4FEEJEMIpYv9NcendTouOCHUtCSmDwc6usQnf+S6l73F8f4i86UVrxk5dRlCb3fogSKY5dl+eg5g7ypZytHtY5vIP53L526kuNsqGbT9NBTWiNAkFJMN1HndeZDQ64/RxRF/L8Xl1Zpffdp7vfLju7z9kVTEysBTXDR2hGOXpL1Nwuj1VhzLj3JHY+rTh1kw/Gl37uEr9nXOK3xgL3yvP+M8e9Tcel8n/0Z4pmz6YIhpWjer8VVdpxtiirWwEle41Rk5kwIMW8prcjuzDGybYQfvVmxfXOW9qKLbEvS70W2MFQg2R4ykiu4PUOTLu2yuzni0ffsYnjrMD3tC7y1p3lVE8PPDpHdlQOlePCNm/nlpoBXfd9jhBjbb5liyzcjXn35MP/19Hhd5hvO6eX4dC977Z9mR2/EoiU+FwxBewZ++votnPSV8sfEZ7VGAB0qCsMRI9tG0ElNdtsIV585yDtOGmZBS8TwFr+psdVIeiwGqJPTz5wtafdXrjG5IEmiLUGUj3jP6UOcfkCWl37WzXS+8tAsJ+2zk+a+IaDFT4N0HQYUplI00XvWQTl+/d6dLGiOeN/3SiuS+iziEqEYfHqQoS0ArvJpcZ/R4LUyYjUzZz6zQJSqIlgUU5KZMyHEvKW0ImgK0AlN89IUXe0andBc/7JdnLf/AGfuuxubNc2A9NI0LWtaUEkNSqFSmigXMfD0AK25LF3pyM/IZyxsC8kPFygM5VGB2yeqM1O/i+6CLjUp5WxRJk93S4EgiuhK+6yBPl7RsrOp8jHxWpYdUKEmiiKGt44QtoZudnggz4IW18Z6fHrvf9nU36NqU1Zngk7pKWfGmhIR7z7V3wyjUu4cRJxxapblecsJQ2N7L3Y3+//EdFCa6l2Ov+ISkOvLMfCMOx49LRFKwfbB0vf3lV6tlNv/MT+QJ58bP0aZogGG5wf93lrragqC+JyoqjKtscHGiBqKBGdCiHkriiBsDlBpTZDShB0hQUvAa47M8g+n7STha2PTWNgSkt47Ha/1giCpXTXJfMTIc/ENrsezttKKIKVJLU4RtoWoUNPTUhpt9HR6LMChFGesKU1bzG8bhlAz/KdBhp8d9n7F1wlFmKz8ofjc0Bjcmsl8fx6d1oRtIWFbgvzg+Lo4NfZ//lx9aYKlrZXX5iU8zpzl+vKobOW2fPHVvXRU3hlhVuiUpu+3/RSybsb87182xGUnDTPw1ABDm4a8Z4AFmWDa4MwXpRQq1OT7cxSyBYb+5FIbt/TVJzgDN9uJUhyyoHy5/JWdea/fMRXqkgIc/b8fmBwc+fw4q11zJsFZRZLWKISYt6J8RJAJ3E2RVnQf18Xz922Pyw5TUpTDl9GiBYVCHp3SFEYKBGlNlIcoV4gLCHhqS6AImkPaD2mjMJgn15enIwM/ftsunt2l6RgcpLOtw1t7AP7CjLA4sY2/+G43APlQo8MCKhmQH/I8TQWoZEA4XPl9fQdnbQe3MfDMEEFCub49WCDK+T8uxXRSk4/GA6LWRIHe7Ph3q9pKnDNBJRTJZOX3G87j/aZRJxVBSpEfLND3WB8t+7egE5r8YIH8UIFEh99NoHXafZd0XAExP5ifXEjC1zHS7vhEI4pcb46RHVnSS9IMTqjKGnissNl+aBvDzw7xokSO77y5lwVbdzH0p4D7/mIzTw8kOHhhAfCXXq20C4ZGto0QtoVEWbd3Z/G1wucWGi4VdZo3811ta46RmTMhxLyVaAvRGU3QHEAcjC1Y102n6QCl0Kn6nCJVyi20CNIB2edHCJpCkl0Jl+roMa2RQBG2utnE5n3dYnIVKl7yqjbOf02Gw5fk/bYHCJKKl6wcnz3L6gAVutF1ndReg1dwN456imFO38FZ0BQQpDRRBMmuJCpg8voXz8GHChX5ovhw387SMuQ+P7OutZ1TrnEbGPHbHgAiCJpDCnEQ1Pd4HwA6dEWLvN5Y42byKJo56//dQMn+j+CvPUFTQLIzgUoEKK3GChR98M8GWdxWoDkZcdTiLPsv9dOe0TYFTQFoOH5VniUdEdldORaqLEe3DgCe+5CC7M4sQ1uGKQwXXCA9MfbxGAwpFNMutfXcp+caCc6EEPNW2BrSfUIXwYQgTGf02IhtPbQd0ApKkehOELYnCNtDdMbdDPg8awcpTfe6LpRSJDrC+JhoFwwFyv3sOThLLUyV5Hh1thEHZ26myPdVrePIDq+bFldDBQqlFUq7vfyI3BqZ8VQ1v5+ZUopjVrub+zWdWYbyasLz/toSpAMOWVQ5rbEr7X//JZ0OSHYlyPXnCDJ6fCPxUKN9VSEsogJFFN/MF7IFN3OVd+sYHX83+jrUtB/RTpDRbkYmoRn84yAv6hzmocu388gFf+Q7r93ud91iUhNkgrHPSacCwtYAnXTnIe/bZyiX9xokFFEuQiUVhZECheEChWyBQq7gPRia/q2kWuNUJK1RCDGvKa0I2xMkOseH012hBzcbUw+pvVKgIUhrWvZtJmgJGd487G64PV/QRt9PKeVuRpKF+NgoVEJ5n2VoPbCF3t/08Z239vHYYIZjlhSIsq54ig4VyS5Pu9HGEm0hYVGA+udHD3Pr/akp/sTsUwkVb7is0KEiV8BVb0zVb7j6houzHPC1YV6zfz+v+WZ3Xdow6vJ1g3zt4RR/6nNR9V8duZMTjwi4/8Esxy0cQSm/n1/7oW0MbRpi4A+D0KLRyQL9v+tHJ1xhIN8pYEoDERRGCvQ90UfQEpIfKjC8ZZhopOACEI/9KEi71PMoF7lqpCMF8gN5iHDn7Sjyfl5M9qQY3poliiJ0Srksh/z4jLDXfc5GB2KSgUtnDJTrSxooROhkQNjmt4rtdCSrcWoycyaEmPc6j+og2Tnhpl4xlkJTDzpwI+htL2qjeVWTW/9Wz5FG5aq4BfE6PBUqdOh/5my0QuJJL4J3XZQgaAlRKU3r/i10r+umaWVm+r9khhXv5fXBtwUsbJ5mY+pZpgI1dpzczFnBpWFFEEVRXbpRT6fmXScPsrRLcfkxfSXPLenye6fW1KT4xqueB+DgrhHeefwAJ67Ocsnh/UTZgv+0zyBOoVZusEgnNckFSVQIBMr/rEfoZlujQoQONUFCkd2RRYcq3lbD76lIpzSpBUnyg24dbmqv1Nh5R4euoq1vrQe1oBNu3bIKXGq8DnGfmWdKAwVce7Kja80igpSOj0/BpcT7/NDi6CvKR+x6ZFeZRsvE2VQkOBNCiHKUmxmq29snVMnoq0qq+l/MAkXQ5u4+dKhRSVWfq4gaX9PRtDxDoiWkaUVTXOXS/0EqnjxMdyX42V9uY81CF6Ap5f/GUWkFWtG0uon2w9ritYqQH4nc2rx0HQrdBK7QjU4pzjtoiF++ZydbPjfI/533R5o8TzTqULFqYcSv37eTb561BZVwVVGDdDy7UI8+lNKohHIDIPG6QbSqx8QZaBh8ZpCRrSPuPJTUFIbdjJnOaNcgn8FioGjat5nCSIFEe0hqUWosRVfFZf+9zlTFbQIgD2GTpmlFk9uWZTTbwmcX0u48rBKjxa1cH9cJjUppCJT3Kq1R/B2KctHY9h7F6n0pa3QSnAkhRBlKQ5Cq32IiFSrClvFh2LApcMFQHalA0XV059jvibaES73y3Y6iwihNyzN0Htc5zZ+YZUXdRCloTsHtF/VzyrIhfnjZgP/2xLNmOqFJtCfGgjUiSC9M1uczC9wAQ5B0AfSyxZqWFk1HU+Q9GGrZvwWdCljY7jbAVlqR25lDZ9wsTD0GQXTS7bFIoNz2Hgk9tnbQ96yHDtzAVHZ71gXUoSLZ5b7rrtiM/3TmMO0qo6SXZUi0hww/O0yUj9CZoC4zZ6PnoL7f9oF26cNBS0iuNxeXkfdYgTROqtAhRAVcMBZ/hkHKfyp88cbhUSFya7fLFYyVCK0iCc6EEKKM0cIX9dJ9YhfpJemx34OmcHI5a4+C5oDm1c0lj3Uc2e49rRHim5GSMtF1DlqL3r8lA2jFyh64ef02jlntP8XRHZ+iB7Qaqyqp6rA9BLh1lC37ug3WdSKelY5T+HwX3kn1pNyMUFx9VGkY2jw8tnWFrsP3zBXZiVNSk5rUwmQcAFBSOdGLuOCPK8DhPqewzaUP60ScJud7pirh+q8OFDrQ6JT7X9gSulm0OnRrpd1WIzqlSS9N07p/CwSK7PNZv4GHwg2+BHFBkMDNuuqERieD+Fzgv9ANuFlNHe/XOYkEZxVJQRAhhChDJ1Rdg7OJAUdqryRha0d9GoNrT2ZpevoX+hCoxrqwB4qfvHUHTYd3kkkpdo2OXOv6FJVRgSrJtVSasVmZeuzdBy4NNrM0TWZpml2P9pLoSLjUq6Suz36CoSJsidPQtCJIa4KkppCLCNv83xqNfmYqbouK06p1oCmM5Kb/C2ayLfGskI6DMR26n4OUHsux9D1zpgIXfKgwTkGNy9kHST25zL9HidaQ5tXNbq1gWhM2B+R25fzuRxnPjKtAx8VRcMdqdMaqDgNoUT4iiiJXoCQZrwv0W6tpTpOZMyGEKEMl9Pj6gQaglCJslvE0oC6zdVNRCg5aVODoA+PKlvF+TG6dVR3WL6V1yXpJpeMZmaC+s8Gj2g5udYF+UQDgW/cJbmZahYxVRg1aQld9sx4zZ2o0oB8fmNGhRjcFdSgIAmhFojOJSioi3ECVTsbrlzxv6QHxmsVQowIo5KK4lH08W1SIiIbrUP4vcDPSo4NWSimCpsDNFvn83qvxrTPc5tOMDTaoRLxuEY/pjQoK2YiRbVko4Er8FyZ/PvXOeGhkcqUXQogyOo5sd5tTi4bjqhHWuxXj3E1R0e8h42uG6hB4tB3cSmHfohTUwN3dBxlNlG2cGtaJ9pCWNS31KVCix2c2dUJDJiC9Vwqd0CS76zPEr+LUNPeLW6OX6EgwvHnYczvcZu5BU0DY5DY0H00BTbYmGezP+585i/cyVEqR7E6gM8HYfosqcDOevo1W1hw1GpRFhXgjb1/tUIxvVh4vdwuaAhLdSbLbRvxvqo4LDqNsgUhpdCZg8OlB0otSDD83TGGkQLIj0VjZDw1GgjMhhCijuBiHaCyq0dIatYLiqozx7IJOaoI6BB46UTob5dL1CjTv10zY1Dj9Wic0bQe31u/9M3psljHdmSa9JE3Tyqa6tWc02AjbE65cfMLNFLmiIB7bod3Nvk4puo7vIspF9D3WRzRSGK8iWYe0xiD+vJKdSXTg+o/7nikoMzMz20bXmo21MaHd/0Y3f/fWkPicGGo3SKQVQSag4/B2tv50mxv88Hh4FK6qZ74/H1dB1aR6kmR35eLPMSA/XL9U1Lmgcc7SQgghRBUaITWvWJAeXXTvjBUKyNR5b7pY2JGgMJinZUJBl/lOh5ogE9C8qpn04lRd0iuLqUDRtCwzFiAm2kKGNg35T+ONN5nvOLzdzS4mFa0HtRIVIvoe769Ll1ahQqeD8RmpME4ZDhhbh+Zb9wldJenDibaQtoNbGfjdgAtiPXEzwC7FUmlILUyRXuT2p2hZ00Lf432MbB3x1h6AIKXJD+Tdvorare+MIgiakuR2ZckP5htrgK3BSHAmhBBiTmk7uJWwtXEuX22HtpaMTHef2IVSiv4n+72mN1XSfmhbSdqlGNd5dAdBU9AQ619UoCbtaTa6Ds1rOxSoQJd8x1Rc5EYn67N7sFJxUZJ4L7quozshUAw+PeBSCeuQ1liukM1o+ic+ZxZHU3S1GtuwO9nlUnPTi1JQiNjR67GojHIzh7kdOcKOkMzeaRIdCXY8uAOdDIhG8uSH5IQ0laqubsaYjwLHA38ALrLWZuPHzwbeD2SBB6y1l89SO4UQQgiAsRuPRjGxcMzojX7nsZ1eR9ArqfeMUCNrpCI7Kiiz4/RoJT6PAVEhF6FT5VMXdbwVQj0sWNc99nPQNLphuCuzn9rL807mFRQXA/L2nsrNLEbZiNTCFInORMnzyQVJv4NZClr2aWbkuZGx4i2JjgQdppPhZ4fIDeRROo9MnVU27RnbGHMYsNRauw74DXBe0dMPAydYa08EFhpjzOw0UwghhJhbGiEwE3OHCtWktUH1qIxYGMqPzVBNpELVUMG+ijfozizL1LspAGNFgLwGsNp9LuklKZrXNE/6fHRSs+Ck7gp/eHakl6QJmwO3FjAOVBNtYemei1Jvq6JqQunjgbvin38IXAjcBmCtfbrodSOU3wNcCCGEEEJMoe3g1kmFiJT2OwsD7sY6qDCjqALt9s9qIA11kx8XvPBZgXQ0pTG9OE1Qh20gKlEJV6Ck+PPJLMsQZQtkt2frsgfkXFFNcNYJbIp/3gl0TXyBMeZoYKG19sEyz10CXAJw6aWXcvrpp7/w1oq6yWazbNy4sd7NaFhyfEStpA+JWkkf2gMMlv4a5SPyy/LePtdsNsvmnZvdLxXeMloVNUw/K6gC+dWFhmkPEeRW5ti8YzPs8Pe2ub1zPLttpCEyBUfPQ7klOQo9EVt6t6AGxhsWNUXk9s/x7NZNU/wte76lS5dWfK6a4GwH0Bb/3A48X/ykMWZv4FPAK8v9YWvtvwD/Ev/aOBusiN2ycePGKTvSfCfHR9RK+pColfShPU+uN8f2J7bTc2CPl/eba32o/8l++v7Yz14HLax3U8YURgpli4XMpq33bKNrn86GSDkd7UOb79pClI1YcHJ3yYzwyPMjbP/Njob6zBpNNZ/iz4DT4p/PBP5n9AljTCtwO7DBWrtl5psnhBBCCDFPafxW/puDGqHSZjHfgRlA+2FtDRGYFVMogrSevGdoBLrBtkNpNNN+ktbah4DNxph7gIOBfzPGfC5++gpgFXCDMeYnxpiTZ6uhQgghhBDzidLKe0GQuSSK8L7VQCNKtCWmf5FnKoCg3Kb3GlQdAti5pKramtbaKyc8tCF+/APAB2a6UUIIIYQQ854uX9JeFPG9SbeozuhG4RMkO5N0HtXhvz1zSONs8CGEEEIIIcbopKJ5VVO9m9HQfFezFNXpOKKj4pYCY/vUibIkOBNCCCGEaEBKKTJ7N8YeXo0os3eahM8NlkXVEm3yubxQcuSEEEIIIcScE6SDihtmCzFXyYo8IYQQQgghhGgAEpwJIYQQQgghRAOQ4EwIIYQQQgghGoAEZ0IIIYQQQgjRACQ4E0IIIYQQQogGIMGZEEIIIYQQQjQACc6EEEIIIYQQogFIcCaEEEIIIYQQDUCCMyGEEEIIIYRoABKcCSGEEEIIIUQDUFEU1bsNQgghhBBCCDHvycyZEEIIIYQQQjQACc6EEEIIIYQQogFIcCaEEEIIIYQQDUCCMyGEEEIIIYRoABKcCSGEEEIIIUQDkOBMCCGEEEIIIRqABGdCCOGZMUbVuw1CiPlNzkOiFsaY1nq3YU8V1rsBojEYY9YA+wL3WGt7692eRmOM2cda+2T8s7LWygaBYrcYYw4ELgI+YK3dVe/2iLlHztOiVsaYA4CzgduBjYBcy8RuifvQB4HvA1+Qe6KZJzNnAmPMG4DbgFOBDxtj9q1zkxqGMUYZY94HPGGMuTp+WEYbRdWMMYEx5m+BW4AfS2AmXgg5T4taGGO0MeYq4EvASuBKYFFdGyXmFGNMaIx5L/ApoAU4CUACs5knwZkAaAMutdb+FfAM8AZjzNI6t6lRJID7gcOA04wxS6y1BWOMfHdEtTpxF7LPAIEx5s+NMQfVuU1i7pHztKhFJ/ArYJ219u24Qcae+jZJzDErgKeBl1lrzwSajDEr69ukPZOkNc5DxpgzgDcAPwO+ACwG1gD3AncDHwPuw6U8zDvGmPXA63DH4xZr7V3x4z8ArgXejKSCiClM6EM3A98F/hrIAf8FfNQYc4219oH6tVI0srgPvRb4X+AmYCmwCzlPiyoZY84EDrPWXmet3QZ8L378MOA0IGeM+SYuTVauaWKSCX3oSWB0ecdK4AmgUMfm7bFk9H+eMcZcDrwT+DKwCvh74J+Bs4wxlwEbgO24gG3eLRg2xqSBNwJfxaV8fHD0GFhrPwQcaIw5ylobGWNkcENMMqEPLQb+DngIeI+19uXW2k8CP8alp82775iYXlEfug0XlL0H+DqwXs7TohrGmLNxg4knG2NeFz+mjDEJ4GDcfcBvgDOAverWUNGwKvShAMBa+wfA4O4jkWyimSUHc/65G7gwng36MNBmrf0j8H7gedzNwN8AXTAvc4n3AwattT/EBa5tuBui0Zufv8EFbG8DDq9PE0WDK+5DHwAWAidYa39RdAH7H9xs9Xz8jonpFfeha4HVQBPu/LMdOU+L6VncANA7gZcbY9qstZG1Nmut/Wrct+7CpTY+V8+GioZVrg/l4wAf3ADk2QDWWplBm0ESnM0DxaOq1tpHrLXPjj4FDMWPP2Gt/QouD/2zuNz0eaNoduyXwGJjzNnW2ixwB3Be0c1PiFsEewjz7BiJqU3Th14dv0zHhR3+GRegCTFmmj50obX2SWvtrczT87SYXlEf2mSt7Qd+j+snb4+f1/F/X4tb1vAUoGT2VYyarg8xnso4CGwxxmT8t3LPpqJIBtz2RMaYtUBHPDo2+mXT8aiHitPyXgasstbeYIzpxq1nuBj4+Z6+FiY+Pm/AlRN+2Fq70xjTZK0dMMacArzPWjuadvY94BPW2v80xrwC+IO19qF6tV00hhfQhz6Cm52+ELjNWvtgvdouGsML6EMfAx4AXg/YPf08LaZXoQ8l4qB+9DX742ZaL8fNvC4ELgG+ba19uA7NFg1kN/vQFUCvtXbYGHMIsNNa+0w92r0nk+BsD2SM2YBLyftXXEGL/y16bhHQaq19whjzdmAJbgZ1gbX2zXVpsGdxSfwXA/+Gq2AVWWv/Pn5uCTAAXAc8BnwRt5/HJ6y1T9SjvaLxvIA+9CFgdEG1EC/0PPRxa+1v69Fe0Xim6UNj1/r493cDlwE/stb+ZX1aLBrNC+hDlwJ3W2vfVJcGzxOS1rhn+hFwIvATwBhjWmCsSuO9wOHxos4zgD8DNs2XwCz2I+BV1tobcMdoJ4xVJboPl+55LZDH7U31rARmYoLd7UObJDATE7yQ85AEZqLYVH3oXuJ10caYo3Frhz4jgZmYYHf70D9JYDb7pNrcHsAY85fAK4G3WmufiavoYIzpAvYFTsbt5P4gcKy1dkv8/FeBn1prN9Wl4Z4UHZ+3xMVPfl60eHU1bu8OcOlCR40eH+BTxpjPWmuH/LZYNBrpQ6JW0odErXazDx1b1If+BJxvrd3hs72i8Ugfmhtk5myOM8a0A6fjNkt+sTEmWfT0g7gv1Op4weZOa+2WuEwz1tqvzYPArPj4vMQYk7Slm0gvB34Y/5yNj0+iaEGs3BDNc9KHRK2kD4lavcA+lASw1m6Um2ohfWjukOBsDosLe+y01l6A2/fmFNxMGQDW2mHgTqAbV+3r/cYYPV8u9NMdn9gg0GOM+Vvg7fGfyUppagHSh0TtpA+JWtXQh0Z8t1U0JulDc4sEZ3OMMWZF/N8grrg4OrL6B+BR3F4ULUV/5Ajg5cD9wAfsHr4XRbXHJx4tSuGqU16F21LgOrkZEtKHRK2kD4laSR8StZI+NHdJtcY5whjThKvctQy371bWGBNaa3NFr9kLuAa3/40CngQWAQPW2o3+W+3PCzg+AfA7XO71PbLQXkgfErWSPiRqJX1I1Er60NwnM2dzhLV2ABgBWnH7JGGtzRlj9jPGvNUY022t3Qw8DXwH+CviEqh7emAGL+j4XAE0WWtvlhORAOlDonbSh0StpA+JWkkfmvtk5qxBxVPMGWvtjnhBZhZ4K/AL4B244CsCPgV8y1p7a1z04+vA96y1n61Py/2Q4yNqJX1I1Er6kKiV9CFRK+lDex4JzhqQMea1uE2kf2CtvbTo8etxe1K0AWuA24DfTZiqLpm63hPJ8RG1kj4kaiV9SNRK+pColfShPZOkNTYY48rcNwNvBpQxZn3R0/+JK4/fB/wlsCGeqh4rn7+nf9Hk+IhaSR8StZI+JGolfUjUSvrQnks2oW4AcUWdq3AbRf/CWntj/HgGeL0x5t+ttXlgHW6q+nngG8AAwJ5e6lSOj6iV9CFRK+lDolbSh0StpA/NDxKc1ZkxJgH8LfBbXGXFDbjS9wD/AZyKGxX5LPBp4ARr7a11aGpdyPERtZI+JGolfUjUSvqQqJX0oflD1pzViTHmXGAB8GPgRmvtKfHjNwG/ttZ+PN6TYgXwQeDnwF3W2l/Hr9N2D96zTI6PqJX0IVEr6UOiVtKHRK2kD80/subMM2NMjzHme8D5wEHAacAWY8yF8UuuBc4zxvRYtwFgG7AWNzoy9uXaU79ocnxEraQPiVpJHxK1kj4kaiV9aP6S4My/CPictfYCXIWdg4B/Aw4xxuxnrX0aV2HnTGNMCBwF/JW19hRr7WN1a7U/cnxEraQPiVpJHxK1kj4kaiV9aJ6SNWf+bQPuArDWbjXGLAJ6gSdwe1G8BegEHo4r6dxcr4bWiRwfUSvpQ6JW0odEraQPiVpJH5qnZM1ZncT5we3Abdbal8aPfQ7IAEngEqA3nqqed+T4iFpJHxK1kj4kaiV9SNRK+tD8IzNn9RUC/22MOQpYD3wBeNxau72+zWoYcnxEraQPiVpJHxK1kj4kaiV9aB6RmbM6Msa8FPgOcDfwFWvtLXVuUkOR4yNqJX1I1Er6kKiV9CFRK+lD84vMnNXX88B7gX+UjQHLkuMjaiV9SNRK+pColfQhUSvpQ/OIBGf19XNr7X31bkQDk+MjaiV9SNRK+pColfQhUSvpQ/OIpDUKIYQQQgghRAOQfc6EEEIIIYQQogFIcCaEEEIIIYQQDUCCMyGEEEIIIYRoABKcCSGEEEIIIUQDkGqNQggh9ijGmHcBHwMutNZ+scJrmoCrgD9Ueo0QQgjhm8ycCSGEmI+agKuBN9W5HUIIIcQYKaUvhBBizotny/4a2ALcD7wBuBB4GXAakAF+B7zPWvtNY8wfgBVFf8W1wIfi/70WaAb+HXibtfY5T/8MIYQQ85wEZ0IIIeY0Y8xhwEPAo8D1uBmxJbjgbCGwHWgB3gwsA3qAc4GvAL8G/g54BHgVcA3wOeBZ4F3Aj6y1r/L2jxFCCDGvyZozIYQQc92L4//+g7X2JmPMMuD9QAAcDFwAJItevxK4K/55i7X2dgBjzM3xYxuKXnv6LLVZCCGEmESCMyGEEHsKNeG/CVx644+BjwOX4dIc00CltJEc8GdAPv5d1mYLIYTwRoIzIYQQc91P4v9eYYzRuHTGYs3AfsAJRY/tAgrAvsaY1wP/DXwPMMAbcQHdQcAqxmfZhBBCiFklI4JCCCHmNGvtw8CVwCLc7Nh/xU9lgduBw3GpjT8q+jNZXLn9DuBWYB3w4fixdcANwEuL/i4hhBBi1klBECGEEEIIIYRoADJzJoQQQgghhBANQIIzIYQQQgghhGgAEpwJIYQQQgghRAOQ4EwIIYQQQgghGoAEZ0IIIYQQQgjRACQ4E0IIIYQQQogGIMGZEEIIIYQQQjQACc6EEEIIIYQQogH8fw5UTeFnTS/pAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "best_preds = best_model.predict(\n",
    "    series=train, n=val_len, num_samples=100, mc_dropout=True\n",
    ")\n",
    "eval_model(best_preds, \"best model, probabilistic\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb4992c8",
   "metadata": {},
   "source": [
    "The accuracy seems really good, and this model does not suffer from some of the same issues that our initial linear regression and early TCN had (look for instance in the failure modes it used to have on series 150). \n",
    "\n",
    "Let's now also see how it performs on the test set:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "999b4a60",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [0]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "05be12450de34a07864fa0d5e9932b79",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Predicting: 0it [00:00, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "best model, probabilistic, on test set sMAPE: 19.21 +- 21.43\n"
     ]
    },
    {
     "data": {
      "image/png": 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klgtLziwsLCxWGOZqZ6WaXxwWhy+aPuHunXlH0Rlhr3APAoQvemomHIUE9KDqadH7ECnC0egxK/3+ct4RGOihc365sOTMwsLCYoVhKmeNqR5Z+rQ4rKAVql5Fr5AzIoIICMztgVIrBREIEO+NzLFyXwW83iM7y+KQSJ9XEzP5xNEJ/aW8I4hBj6IFEEvOFC677DKceuqpuPjii/MOBT/4wQ9wzz335B2GhYVFl2AqZ7xHkjSLwwuztbwjmB+9Qs5AgFtk8AZ7o6WeiICwdwxKGgeaCOwC0WGDtAnQgelcwuiIgb68I4jRS2r5cmHJmcLnPvc5/PKXv8Q3v/nNQ743DFe2I9OSMwuLRxdMhy3RK0msxWGFmR4fj9krTpIkADDWO85tAhABQYS9sYGIE+D0jqpoMT946n6xfzKfODqhV5QzAj2q2JklZwDe+ta3YseOHXje856Hf/mXf8GLX/xinHnmmXjSk54UDZy+9NJL8Zd/+Ze44IIL8Jd/+ZcYHx/HS1/6Upx77rk499xzcf311wOQA6Zf//rX44wzzsCZZ56J733vewCAt73tbRgdHcXjH/94/N3f/V303e973/tw2mmn4cwzz8R73vMe3HDDDfjRj36ESy65BGeffTa2b+/BDnALC4tFwWzi7pUk1uLwwkwP9ir+/74cH8y9opyREMq5rTcSNSICcYFgukds9jhh7r45NA80847EYgFI3y/299j4vp5Rzkj+b+rmKQj/8L/J9obunzP+/d//HT/72c9w9dVX4+///u9xzjnn4Ac/+AF+/etf4zWveQ1uv/12AMA999yD3/72t+jr68OrXvUqvOtd78JTnvIUPPzww3jOc56De++9F//4j/+IkZER3HXXXQCAqSl5Jn3kIx/BmjVrwDnHM5/5TNx5553YsmULrrjiCmzbtg2MMUxPT2PVqlV44QtfiIsuuggve9nL8tokFhYWXYSZuFpyZrEU9KJy9o//GT9mPSLGUAgwB71jDiCkmtc80AQeP5R3NCAB8OmwZ8osNUgQeI33TDlqr0DfO1YPyb7TWkOahDg9on4We2h3ERHCKocIBJzi4a099dBmBX669ucr8rnPn3jOgt/729/+NlK7nvGMZ2BiYgKzs7MAgBe+8IXo65PLBFdddVWi9HB2dhaVSgVXXXUVvv3tb0fPr169GgDwne98B1/84hcRhiH27t2Le+65B6eddhrK5TLe+MY34qKLLsJFF1207N9qYWHRezAJmRDyJsJ6JZu1OCxg9px5bn5xdEKP5IogLgCH9Yw5AAlpThJMBSCev1GJVPKoV4TFCPVHGqg9VMO6C9fmHUpPQd87XAcoFaW5VDMA+nqknDDva9Ft9xH+9ouEv38Ww7GQJcSPhntrT5GzXsfAwED0WAiBm266CeXyoX1Ed+7ciU984hO45ZZbsHr1arzuda9Do9GA53m4+eab8atf/Qrf/e538W//9m/49a9/vZI/wcLCIgfwlHJGnMC8w/8GYpEdqsZ8vJD3HsHvleG4WjnrpZ4zpphrWOUoDOebdhGX5KzXZkJRKHpnn/UQ9L3DdYFSQZKzht875MzJWaB6xrsIMxXgwZ19uP5NdZDPpQnPYY6eImeLUbhWChdeeCG++c1v4kMf+hCuueYarFu3DsPDwy3v+5M/+RN85jOfwSWXXAIAuP3223H22Wfj2c9+Nj772c/i05/+NABZ1jg7O4uBgQGMjIxg//79uPLKK/H0pz8dlUoFtVoNz3/+83HBBRfg+OOPBwAMDQ1hbq7HfZMtLCwWjIRyRgBx9NjV16LXke7p+p/rgRc+JZ9Y2qHRIy1MFAqpTvVIfkZEAJPlhKLOgRzJ2cRvJwFOclB30CPSoobqGbJIQp/3nguUi8BsNTmaJQ+Y5MfNmZzpcu+xaUfOOHyUzBQ8vIsyVwCXXnopbr31Vpx55pl43/veh//8z/9s+77LLrsMW7duxZlnnonTTjsN//7v/w4A+OAHP4ipqSmcfvrpOOuss3D11VfjrLPOwjnnnIPHPe5xeNWrXoULLrgAADA3N4eLLroIZ555Jp7ylKfgk5/8JADgla98Jf75n/8Z55xzjjUEsbB4FMBcEBaC9dSqdTBjbbUPB6TJ2Yve3zvHEADU5nrDEUSEBOawnpkr5h/0wRsCjAFhLV95kYhkuSehZ9wjNYjQU9fFXkGirLEgH+c9iNq8FokeOYwCDqBHS3aXArt2q7Br167o8Q9+8IOW1y+99NLE3+vWrcPll1/e8r7BwcG2hO5rX/ta2++9+eabW5674IILrJW+hcWjCImyRuqdkqtgNsTk76ax4Znrcu+FsZgfveKGaOKYTcBD++Rjv0c4PoUE9FBZY3V7Vap5gx7Car47kQRFvXjUI/srAj26hgh3CyY50/1dzZz33c+NtLVXrkuClFrOHx2W+lY5s7CwsFhhpMsae6XsgldCBJM+eL1H7rAWHdErSVAnNMLeIPeR6UaPnGMiIFBAsg8ub4tvvTBEAPVaWaN4dJSjdRv63uG5sXKWJzkLQ8Kfvi8mP0HO16WCITH94sGibBk4/LmZJWcWFhYWKw1urOILoGcalokIoinAGzYr6nWEPVKmZ8JUhP0eIY+kyhp7ZfWcBMm5S4xBBDnHJEj2nBHyjyUFot65LvYS9KKM6wBlZQKSZ39nuqQy70Ujk5z99119EIIeFceRJWcWFhYWKwyzLp9T76zqQzlH2l6P3ke7JCjvJMSMqdkryllIPWWl73gOBk4akMpZ3gQ7Us4IwVyP2Gsa6JVS1F5C5NbIqCeUs7Qra5DzYWSSs589WJJljT1y7i8HlpxZWFhYrDBa3Bp7JAkRXICE7fU4HNCOnOXt2mYe1z5nuZNFQJc1omcWHCgQYA6TJiU5D34mDrkgAyCYDnrLFIToUVGO1m1E51iTo+jIDZSnIUiajIU5k7P0nDU/eHQYglhyZmFhYbHCaCVn+cUCALwpZwpRCMjl9EfB3exRjnbkrJ43OUspQd+9Jp84TOiyxl45pLV7JFwgnA3Q2JdfTRpBJa4EMKLcyaIJ4pactUNU1gig3AvKWeq7fT/fnZa28q/5vVPSvBxYcmZhYWGxwjB7cwQh95vH1M1TqO2qgbiIkjWL3kZbcpbzbLF0TG/6p/wPJOKKnPWAKERE0dw15jDwhkA4m09mTSTLvXRZoxy+lksobUGPEpe9bkMv7DmMUHTl9slTMU8bgOTdc5ZWEetBD7UNLAOWnFlYWFisMMwKq17oOZMmBVI5Y6w3ytFM+BM5S0I9iHZJUN7zjnjqOF49lE8cJkhIK/1eSPSJEwiyF0+TM6eUX9olCZpSqBh6jJzlHUFvQi/sOSCUvPzLGtPKWRAA7/+iwDEvF/jtndkfULVG8u9K4PTCqb9sWHJmYWFhscJIlDUKoLqjhunbpnOLR5NDqTKgp5I0EQjM3jOXdxg9B03Onn5O/FyvKWejp+QThwmtnPVEhqYGPgMAHEA0BJxCTmmXGuERlQ+y/A1lTFCvTDPuMehzzANQVIdO2pQjS7T0nHHgo/8FPLwf+I8fZ388XXBG8u+G6JFzf5mw5MzCwsJihZEuayROCGZyvMMqKY9CIZO0XsqL1PbppcSxF6CTtFc9EzjrRPk4b3KmFx0uu+AggPyd2wCVlzmA6AElhgSBKXbGGENhTSHHYAAQ4ea9RbzmZ2vx653F3BV8ExQCH7lmAP/1C3vemzDLGnV/VZ6lhJoYllSJ5bYx1vJaliilTqmf7hnsrfvZEmHJmYWFhcUKgyes9JVLYo622nJQJ4G4KmvsoVVr4sqowOZoCeiErLG9gn5X7q9eIWdbTikDAGYqOQYDRYaIwBiTVXt5OzYKACxOXhnyW9QnIpAAPnzLKvxmrIx3/nykpwSG6+938G83D+AvP2wXZkxE5AyAp9wa81wE0d89VGq9Z+RxG0kT1c/dOoBHw83DkjMLCwuLFUaSnDEgzHcWi07UiAvAzb8HzoQIhDItyDuS3oJOQliTo8TyJ2dy2KskHiN9cmfNVPOLB4BUXRnDD+8q4MoHi7mTMxIEtIx/yzEmAvbVpPf4ZL236pl37Y8f75vIL45eg753eIzg9YJypnrOBgqtx04ep1vbbdE7h/WSYcmZhYWFxQojqMXshwjgvgDleAchQfAnfYiGAHMAkfdwXAMzd8xK9Sxv1aPHoJMQhwglyp+c6aTRZYTVipwdmMovHkAe1zMNhjf+9wDe9OPVuS86kNlzJp/JL3FU8xV1OZp+Lk+IUCBQ7pU7Dsbp6P2P5BVR7yE671msnOVJzrRb41CpDTnrAeUM6LEy/SXCkjMLCwuLFYbZc8YJoCBf5QwEkC/AG3JArn/QRzCd4/AcA+QLtZHyjqS3EM87ihPsPOecRUYFDnDkKoGyS9gzAUzP5bnoANw/6UV/8yDngyhVnkeUo329cqrXg4wB4MdX1HIKRqK+u4Hp22YAJO3hp60fUAR973AZwWP5lzVq5Wyw3PpaHqRRb4v3XyAPmhNWh7KX+jCHJWcWFhYWK4zkEGoGEYg25U4ZguQgam3tHc6FqDyQX00aEaG+uw5Aqooi7IF+oR5DRM6IUHbzt9SOLL4dOQj2hDUyS7pvd34xgQg7ptzoz0Yz57LGlCKdZ88ZAEBQgpy95CtDuPq2/AJiDBC+gAgEAmNbzebLGXsKkUIN9ERZoyZDA6XW1/IYjh2qIdhbBmRgoVD318MclpxZWFgsG0SE3bvzzMpaUalUcPDgwbzDACD7c6LHBJCf/4q+8AVEg4N5DKIu4BTyY4sUEKo7ZUYmmmR7ztogUqoYUFIr6L1Q1qhLrUbK8t9KPa+IAAhgrhkfx43GPO/NACRSZIzlZxlPygU1fZbf+IdcwpFwGERDgNc5Ah5HlrexTC8hWpRxYrfGIMzv4qgXPPqKrTHkcT3S22fAk+eVz6Xz5+EOS84sLCyWjQ984AM4+uij8bnPfS7vUCKcddZZWL9+PWZmZvIOJVnWKKTpBctTOQMgmgLCF2o4LpdNDTmCQulgSVyAmsIqZylESRoDSk7+PWdmPABQUiStmaOaV91VS2yTRt5ljYaVPgApneW1qE9ywSP03Jan8wIJAdEUCOdCBMIgZ3kby/QQYit9wEMP9Jw1ZAwFt/W1PJT8UCmufaqaoMkZyCpnFoc7rGWtRTfw0Y9+FADw93//9zlHEmPHjh0AgOuvvz7nSIDQKPcQJEt5KMfVT1BMzkgQREj5WG3pcIS09Re+AAhghRx7c3oUMRkSKCF/cmYmjQBQ8lRylGPrYvNAExU/TvKnd+YrnVHKSj96Lg8Q4BQd+CL9dH4nGq9yiIAQTAUpcmZPfg1uLIL0gpV+0+81cib/jclZbxlcLRWWnD2Gcd1112F4eBiXX3553qFYPEogemhelsa9996bdwjR6h6grPQZy3VILqmes9LGslSrfAGRp8ogZMmVVvKYwx4VjlvdRFzWSChG5Cy/fRbFo5K0gtphefbB/fRuD5/9/VD0d2V/jsFAzewzn2AM9bE6Zu/Jz/GiEfYGWSRBqD1ch2hyNMd9BGTLGtvBPM90WeM//XdMkrJGoBZfCk7r9+dT1iiPGz370Q+tcmZxmOPiiy9GpVLBK1/5yrxDsXiUoBfJ2djYWN4hSGXKQP8JA3LGWF4g+b/i6gJIACKgXB2uiOT3i6bpPX74r352EzpJK3gsWiXOVTkzXOSA2AUwT+XsiruTLgW1er7HkAg4mFnVqMoa/YkcSKOKw0+rLnkNxRYEXgnhDRXAGxwhbFljO0SGIA7gGveMG+7OJ56GIoVFr91rGQeDeOGzrEq9A8HAe8N4eFmw5OwxDNdto0tbWCwDvUjOJibyn2jKUyoZMSZX1fMqK3YYBk8eAAAU1xZQWl/sAeUM4A2ByMay9w6lXBGRsxLD4Gp57f7kd/KLJzYEkf9qcpanclZMreb7Qb59lKIuwLxUDCKfGX76WtNMKWe5XbIJYC6DW3YQTIUJcjZryVkEk5w5BjnLa21v9hF5ghe91mM4z7JGlygqrW40Dv+bhyVnj2FYcmbRbfA0C+kB9AI5Szdwc4Lykc4lHIAITPXCOJ4Db9iT/V65hUMQnCAaHHop3/bDJqFdEEse8LgN+Z9n0XBclUX0giFIXyF5zAQ5u+6ENZ4kZ0wZcORxaJP8/mZaOcvVeIfBHXThFBhCawjSFtEiiCudWjXyItVaOSu3Uc7yUPJ1/53L5LURyHeBqFuw5OwxDEvOLLqNXlHOzMT+Jz/5Se6kMf31QiVosowvBxAl5qwxxhRjzAkEIBRJ5cxyswQOTMl/1/dxnH90XLfDc9pvupxI98EU1e0kz8SIuUky1six7BMARCOlnOkFmZwIkSAkSBCQ4yKImpbheA6c9WVcdX8hesmSsxihJh8OwTEuinkpZ3rxpdgjhiC+UoJLjkBJz3+sHf43D0vOHsOw5Myi2+gVcpaO4/bbb88nEIW0exQXMk+bunUavJY9cSSDAwHycXpgbpbQbo28IbdFMBNg9g/5mSb0GjgnHFQTIdb0S9Wz6Obr3OYrI8S4rFGec3n2nIUcABGOblTgkMiVKBIR/MkATilOsxhT/ZV5XCapjWqG/Kz0ze/9r63FxGvWECRGXNbIwI3e5VpORqT6nCoXCEcMJw/kIMx+sUj3UBY9FvXB2bJGiyXjyiuvxHXXXZdrDJacWXQbvULOtI2+Rq1WyykSifQqp144l3O98ug/Aa64s4i79shrAHPydY+EkASWV0KwgiOJWg6ktVcxMSv32dohkmSIxVbWQU6bqVmXX6zjiMoac+xdDDnwnKkxfH77jfjfY/fkSs5EQ4B8DsdLplkkKJdyZuow1z1tVpQlGIB6AHzi6nLieaucxYhGVjiUWIip5kDOJmYIn72pH4BUzn77zjn87FUTuOnT8UUo63POV189ckJfNGrA9wGRo8FVN9CmatRipTE7O4vnP//5APLtq7DkzKLb6BVydvLJJyf+9v18i9BbyZkaTcuT5YVZgIhw30EXb7lcGoIc/L/Tajhunj1nAEIBERKcAkPf0X1w++zaocbYuPx340hsza7LCXNTzpQToqcUvJKqSst7MPZFk7sBAM+c2YsHgiNBRn9llqCQWge7M6hyvnzu+5y3bofcek1V7vOJX5dxYC55rs/VkNt+6zWYVvphzuTs49+Kj9uSRxjpI5yxIcS6YwlrhoHJWUnOBvqyiYdzgiAGhxGKZSca68EFAwV0WDMce/fLAdVqvCx000035dYPY5KzO++8EwcPHswlDovFY3JyEj//+c/RbObcVJFCr5CzNHqNnHEBMKJ81CoBzDbjS389AMCQs3ImyxrJF2AFJi3HHwWDRLuFP+yS/560Qcik1mHRnKHcyJmasVZQh9LgRlmalqchSMgB1yA+kw03t3JdEm2kKgY1hT6XiNq2uvG8ZuWpvtvrd7TPoHv0VpI5IkMQj8E3yvWq9exjeXh//Lhk7DYKCWVVmZqlcqZLqHX/mxapQ0K+7sNdgCVnOcBUy84//3z8wz/8Qy5xmOTsrLPOwrHHHptLHBaLx0tf+lI897nPxaWXXpp3KAn0AjlrNFqXFIMgv0YYotakyA9l3xdxkXn/CREleM+Ogw4YY3JRPy/nNooHYzueo8ji4X1z7SbufUhuixOHAzmkG/Hw57zIWeBr5Uz+nUdylkbIAce4vx6sObk5orY/l+Rw9VwqZqj9ekeY0zBjAABDZH+eRtrh9rGKaJ6gB2AwNk3JQznrM8YIxlb6lCBnWSrnvh6IrdR7XWIdCpazC+nysSByNjo6+vHR0dHrRkdHvzE6Olownu8bHR39n9HR0d+Mjo7+anR0dOPKhfroweTkZOLvz33uc7nEkS5rNBU9i97GNddcAwC46qqr8g0khV6wP0+fX0DOypmQZRYmdkw4MnnjlH1HPiVnHVV8Fr2QFzkjZV8pGgLMZfm7R/YY5lTL5KoiB3OY7DlTylleSWxD9QTqOLRTWl7KGREhFEnl7GDNgQhyYmeijXCmyhpzObY7XGqaeZEz9bWlDqVnvULO5nJ2/qtPSAbiOQyc4uu2n0OvoGswBtMYlUQ+yllkBqJSWVdfE0WOC41dwiHJ2ejo6FkAtmzduvVCANsAvMx4+XkA7t66devTAHwNwBtXIshHE/bt24czzjgj8VxeddW25+zwRxjmtGyeQi/1BszMzLQ81yvK2eM3yYxj2343Gryc+U2EgLpBzhpqUC9RfnPX/MkAxCU5AwA4cttYSGh1zBOqj8mJS3hyK2usJZWz3GcMESBCYLMf13sdrDm5jasgTq3tpEw5k+Z0npnJvUaQI5kGEDnspZGXVTwABNPyfvGFHxKGn0v46k/zS/R9tQjiOpQgsn4OtzSzA8ePHjMIX0SqWqZljSlbf11iHQqW2znWLSxEOXsygF+oxz8DcIHx2oMABtTj1QBs09Ih8LOf/azlOUvOLJaKvOd3aThO71RItyNneStn2jjqhHVyf+2ddZR9fAcLtRUECUooZw2V3LMclTN/vInShhJYgelgcrX27zXoRMxTjYGO58Bjqucsp0tAFJO20vfyVc54lWPzwenEc/WQgddzImftvtZhchGiyTNX9NLlzBq5KWdA27LGkbLcLnkoZyIUEL7A9B0z4DWOt/6LjE3/mweiskYHeN0T41rGPBZlTEKoF/WYyyACka9ypo6hqOcsx1mC3cJCvExWA9irHs8AWGO89gCA00ZHR/8A2er6xPR/PDo6+hYAbwGAd7zjHXj2s5+9rIAPd0xPT7c8J4TA2NhY5rG0UxMeeeSRtmQxCIJcYrSYH41Goyf2i+M4EVHsFE9Wx1DaRh8ADhw4kN92IsD31gEA1m5sAncXsSfk4GeG4AhxYO4AWD3DBRoBVNbHc4Vm+puorK+DVgnsG9+XSydyuCkENgKfvXIY/3NlH777NwcwsL71upjldYg4tQw1zgvTsyMA+uEcGaJ5fB2+58Aty3XRsT0HMFLIPlObLRYB9IP1haisr4DWlgAMYq7axNhYa2nxSoMCgl9O7q+gJHCwOQFnLD6oszqGREDgJ4cICsZ9Vi3IkCDs2bsn0+OLOKF5XGvCWu/juVwbSRDCk0O4NwYA5PXonc+bxjeuGwIA7H5kH+oj2RJY0RCSNG8Aag9XARwFACi4AmNje6P3ZXkdqhUGAZQgVvlwjq3i71/J8HffXo2p6SrGxmYziUFjtrIKgLRinOvz5Xm/hhA4Phh5AErYPXYQY2uzYWi7xzwA6+GVBCrrK2DlMgAPjS0BxmvjYGPy/OrV/HXLli0dX1sIOZsGMKwejwAwr7qvBfDbrVu3Xjo6OvoyAB8C8Dfmf7x169YvAvii+vPwprJdwOrVq1uec1133p20Uujv7295bu3atejra/VBHRsbyyVGi0OjF/aLqZx1iierY6hQKLQ8NzAwkNt24nWOUM2EGr13HLR/H/ZMHIvSzjL8CR/rX7AepQ2lQ3xKF+OpcYSPGAOeJ8oYHHfRHG9iw7PXwxvM3n/4wK/GAQL++QcjAID/+cUavOakOWz+syMS78vyOnTwugkMnjSI8qbs9k0neAWZpBZ2MQwcNwin5KCgqvdWr9mALVuyJ5GFmTl4QuDUXZMo7yxjpCpnVYUNL5dzrT5Wh6gnVXNRczFcGcHI8cPRc1kdQ/VH6pi6fwqlDWXs+uJDmLp5Go//p1MRVjggCBtesAHF1cVDf1CX4E/4eOTBqdY4xz1s3rw58wqecC7E/lvG0RfG1xvvoAtPFYNu2LAJR6zLNqbqzhrmHpSEx5z/Vio6iWMmy+uQoxpO+2pFDOwfRP+k3F6F0gC2bBnKJIYoFi8myxefyDA4PoiwEsIb9rBqWF4nB4fXZXY9Gq/JXuUyyVhKXFaD0UMFrDt/Ncqb5TXpcMxfF7JGegOAZ6nHzwFwvfEaQ1zKeBCSvFksEr1U1mhNQQ4v9ErPmS1r7AwShEAwgAjH/nI7Xn5wF26/MwSGi/CGC7mUNTaMw8Ysccxt+YyQmPfGSW6vPA1miBP+9X8Y/vqTInejG12+0zfswinJc63Yp1aF83Jr5MBLJ3bhT66/B/d/5IGoPK1Rz2m/EeCkBs+GBPBqPhtIhAIghkf+ewz7f3IA/riPufsqsnSYZd9TSYLa2tP/6P4yPn8F4SUfEPjN7dnuN8aAwJi9Vne9uDQth7JGp8AQVjl4QyR6FTv1xWWBz18vCYarjIA8JuPK47zX3/nN11Swpl8eK6zAwKs8n7JGbaWv9o8+dt7wP6vx+s+4ePM/5X/tXioOmVFt3br1dgD7R0dHrwPweADfGx0d/YJ6+VsALhodHb0GwD8C+OQKxfmohiVnFkuFJWetaHcM52kIAiET2dVhfNcqC44797hgLIc+LwIaPN5fzTB+Pk8rfWawMzkiKj+DEgAAJ7zvGx4+9wPg9gdyjAOGZbQT759CzoYgQchw7pxcm527pxIbggTIheSTAJyUiwQnhsZ+H7yRfaZPIQAH2P+TeDiUW3LiBtSszzURG4IMFJPf/defBq64Dnj6/5ddTKTmnDWNS/Osz+Dl6UJKQDjHwWs8MSer2FqMkQmm5+IYHCZJvW7L9XPsOSsaqaPjOeC1MBcr/WYQm8oQp8icyOcM377exX/8GLjujuzi6SYWtB6wdevWS1JP/ZV6fgbAc7sd1GMNlpxZLBWWnLWinUqWq3JGQCAYjvTjc2tAhGiGLgjZu0oRqQRaoWEoZ7mZcBApn3EJQXJIN4n8+r5qRpLxwCOEc07Or/8sbRkNAJ6yrv/X7xKeenb2sQUhoebEKYS20v/Dfg+VKmFoKNuYfF/gkcn4O8eKfQiJ4cH9wOe/THjv6wlD/Rn2eKlj2jQkIS7/x4o5nPeCQIo1bxoW+OqrqnjqZcOH+K9WNCIAhKahnM02GBzkR84EFyisLiCcDRLjDvJSzsan48dNLkeMaPL67V8BF51PuPhPsjum9UJQwbgOMVea3OQyhFp91zGzM7j5ZbfhnDNPwM9wfOI93/414QOvyC6mbqF3MqrHCNoN6c2LnA0MDLQ8Z8nZ4QVLzlrRbpvkqpwRIRDA02b2RU8N8ABcaK0oa+VMJUREeM8jd2HLL7bHL+WlVKU2gVbO8rRDPmi05d3+23rnN2aA2BnRUM5UgvT9a4FtD2VPqoMQqBsLfCVDXXj/lzIPB1/5tYuicX/11NyzP/n2enz4cgd/95WslSoChQJk9C5RKCCEGjiWsXJGxrxFlwEnr+8Fr3EWK/cAnn5SCFeVoeVipS8A5kBej4zvz0s523VP7M5YU/MoTaL46g8TwgznnfkROUt+JxFDWW2jPMoan3nvdkAAT7l9e8t7Pv+D7OLpJnono3qMoNls1XzzImfFYmszcq5JbAq/+MUv8OCDD+YdRk9jfHwce/bsyTuMniJn7Y7hvHvOQs5wQj3O9gd4KAdlppKAbAKSfR5DPMAfz+zD5jv3RuWMwVQ+5z+les4iIS1HO+Tx2Tggk6jlgfbKWfx4MlvTNgCKnLVRzgDgZzdnH88De1mKnAk8NOlEysw9uzIOSCCe26efCuTgeeaw7HthiCDUSeYwefx8+S9yXIxVP1/3vL7jwgYuPjdAQfVUBjkMWdaLQSSACcNBt5QTOfvd72P5sKpuYQWW3C5ZjtIIVBlhIVV0xRhF5Czbskb5L/d6J//oFh59v6jH0Wg0Dv2mjNBuRlau86AM3HXXXXjOc56Dk046Ke9Qeg7p/Xb22WfnE4iBXidn+SpngM+ppawxEJKA5DHvyOdAn4iPI94QIE6o76nn00At0iuxiAb25oXJanxMj885qNxXyS0WvUJcMqziE6VFOazvBRzgzIwn3lfT1ez3m+cAJcNlQypncXxZl6YRoaXXjQLC0KlDYEUnl0UZrUa56tA+9+gcKy/UiEe98PD80wK4ThxbHpds4vKiTER4+zVro+fL2ZlqJvCN28rRY62cmeo5kG35ZxAtEiVjEAHBqcjcMdOyRk3O0mzxUYDeyageI+gl5awdOesV5Wzbtm15h9CzSO+j8fHxnCKJ0evkLM9FBx4C/SFHv0GGBngoyxrVAM9MIYBQMAzyODHjlRAUEqhJiTKsrEAE7JiIjyHNybJ2tIvjIfjGdjhYYWgcyHBJOIXAcGvUMBeLqzms+QUh4BlKVf36g9HjodZpLCsOl1FCOSukamJLWSfYhITjHyDLGpnL5KJMxnV7gouoethRCX45J0VIgwHw1TmulWBXG4LkkYqoBTOHAb87EBOjDa0TkDKBqY5HZY0pYpSlIVBU1pi+3RNQUC82Mhxqrm/rvGjJmcUy0Y6ctetDywLtvrdXlDPPy9G7tsfRK31mJtqZy+SFduSs3XmXFfwQGObJ88ojIctRHJZwBcsC0qAE6BfxdgorHMQJwuegjOMBgOt2FfCky1ZFfwvl5Ia8bJAFYHBpHKg6cnhwTvHopKhkXBbNSJ797hx6zjhQNtjzns/tjB6PtLYzrzhcBhSNeNLkLHvljMDblTUCUhXO+DJOYexx4aj14LKX46gKdS5pdVMn/JGVfg7XIcEBMKD/hOQBnEv/G4CacdtY3Se3R7qCL0tyFhmCeHJ+ZwQCisriP8uyRn1dFIdQznJx/lwmLDnLGPV6a2N5XoSoF5UzTTxMJSYv8tqryHsftUOvK2d5Gt34AWGYJ2MqkkComs/Jz1o5IwQcCeUsrITSMKDOE8NXs8Lnftef+FsbF/gT+Vwb5UyoeDvsmnYR+JTbHLjISt8gGG7Op1zIkVCqAOD5p8n91ebWsuIQnLAhiCXEAlGC3GeunAmAV9NljXJ7MYeBwozLmbkAMYbNzSrW1+Rg43Kea6Bq8UX3TOmyWE0+ggwVmAhC9gM6BQdnb4mvj1mW6pmoq+99yvEBLnmmPLaLOZIzTYbq330YW195G+bulc24REBJnWt5uDWSIeUVRJt2nSA/p92loncyqscIPvaxj7U8lxc56zXl7Ktf/SoKhQKuuuqqBImdm8u5G7/H0IvkzEQ70p8l2m2fdoOps0LAgaEUOSuQQMhlkpa1cgYCfMHQLwxyNhfCKUjbb8phmXjnVHLlMxSSMNYezsclkQQgjH4lnzPsOOjmTs7MkqZiSvVoNLMN7tM3DCR6vADgb1QCedcuhu//Jrt4rruD8OmrSji6mVyEKRrqWeamDoLQ2JOsN40WPhgg8lDOQsKndtyMd/32d6g9XEeua2oEgLFI1dAlfDomnsMikdn7avYrXrUV2HMw+3jqTRnDf15cw2o19NlLHcd5KGeVn+4FAOz5nvyXiPJRzrSLrcG9NgWt94xm7xUbHRKWnGUIIkKhEJ9ZZ511FgDguOOOyyWeXlPO3vCGNwAA3vSmNyWUjjwT615Eu32Ut7poHkt5k8deI2d+gFblTAh583eQeY8XkUw8BgzlrHp/FeUtZbh9bi5ljQ/NJMmZvpmKhsjHFERQSynT2AzLzaDEb+OSlm6zMGciZYGBgkA5tUptxvfSD2W3rd76L/K71gdJMmQqe1mTMzLIWWGt/PK6WmxgDgP52S5iESeIhsCgYoVzf8h/0ZPQrqxROccGAK9lu40Ep8g1tppap/6PH2caCgCgrm4bfQVjUSZ13mfq1pj6rmgGpSB4aiEky3i0kucaizBbmrXW91nlzGI+NBoNBEGAYrEIIsI3vvENAPn1EPWqW6Pv+wly9trXvjbHaHoP7chHpZKfkxyQPIbzPobabZ9rr70Wu3fvzjyW/ZOEC/7Gw6AiZ46yiS6onjPmsBbTgBWHKmtMkLOdNTCHgbnZD6K+a3vr9/khA3HpdieyLvuEcon0kjf08TmWn3KmdlXt+oOYvGESQKud9YHp7OIhItQChtVhqpcyp9ZTTbz6FPFwB2UgprKXOTlDTC6Kq+SXT1w7CSJSRkAZL8qEAmRca/Iam6FBigdpP6R0WWNzLsTUrdPZBiWAkBhe/tUB7JxIHsxZlxEHISHgDA6jxLleSLk1ZqmcpXu3mN5ZBGiH/yzXiZuq9NXsLz211roQ27TkzGI+6NX7kZERAMDq1dICaO/evbk0mrdTW/JWPXQMJjm75ppr8gumB9FuH01MTOQQSQyTnOV9DJnf/7znPS96/OlPfzrzWD71HcKeSYZ+RYQKI7LJo0ACXMiVx6zJB5Es0xsw6qpm75hF80ATAMucnH3n6tbva4SyR0bUBURTZL6CTiFBUPKGfrDCcvMn8UOgJDj2fW4HHvi4HLSaXkGfylAIafgAI8LaIFnDlE4cs0K5CDgkUCACMcAbkOeZqZxlbopsuDWaxiCiIQAHmZ/3wheJ/taxy/dIomisOGTal6cNQXRZo8pGIyv9BmWuVJMg7JxycfUDrUw+64UHXR7Y51Hi2O3P0a0x/V1ML2AR4OQwPFwvWnnGhfnsamsu5Oef1i4alpxliDQ527JlC0ZGRjAxMYEDBw5kHk8vK2d5K0G9DE0+Hve4x+H0008HkL+dvumGmPcxpLfP17/+dXz961+Pnl+1alXmsegburbR90bkTf+PZ/YhCAFWYOA1nnESQggFMJAqtdz+qR0AAJGxUcHdO1ufC4VUzsIqx8wds5i6dRrhXHZZiPAFRIqJ/fst/fjQV/IqawSKRgkhcUIh1XOWZa9HpUZYE/pwU1KimxM5KxWBkiJirOhECrXp3vjxbwEPPpJhfCImZWEl2d/JXJZ5+bAIqIUQ+gd9/PB18QTz9SOZhgTANASR/2py5ld5bC+ZFQSh2WEdKGtyVlMVun0pnrjhiGQgeSpnjiJnxCkmZxmuo2lDELOs8fjGXMu97RUfXouf3JifM+lSYMlZhpidlRdBTc4YYzjxxBMBALt27co8nl7rOdPwfb+tq6WFhFapPM/D0UcfDQC5kHsTJiHL+xjS3z84OJggZFu2bMk8lvWr5M1Ll1tp5QwAhu8dj2YcikaGhEgAQUo5A4D6WENa+6/Aiv58hO+hfa3PBRzoP7oPjAH+ZJB5X57wW5Wz/VUXH/1vhrt3ZBsL5wQuWKJ0hzc4nn9a8jzLkpxV64hKdU24GRN7jVIBUf+bU3LhFOW+K6WqQ177f7PbdyRiMrTqnJj1hHOhLGfOQTlLMw/REOgvxX+vW5VhQAQALOo586KyRvlvsypAGR9OJIAmby+xZq2a17RyVkh+cbGcTNszJWdCKuYa41cdRGNvAyQoN+XMIcL6e+PFaQfAcGpI3v5pF2P5j4NdFCw5yxBaORseHo6e0wYhefSd9Zpbo0YQBC1x5G140UvQpNp1XWzYsAFAvuSMc57YP3kfQ5qcFQoFeJ6HZz/72QDyOYbWqZxMlzV6w/Ey6M33AvcfkJdg3shuuZEIOHH8IJ4ymzxmHE8Nxe6yhXVYDTF541Tn19v89IAD3pCHgRMHIBpq9lqGZWmiySPjtlM2JAPMeuCzTr76nWRp3HnHJOPKkpx985dxyWBxXVwL1wvkzO1zwJS7xEn12cT77n0ow6CIorLGzS8/InpaK2e8wRHMZLeQRU0BpPpbeYODnPjEGiin/6uVDEjNXNTKWXrOmZ8HOaOInBVcwtdeFbdX/Po2wjd+nh1Di5SzQ8yiy8qAQwiCEAwbU26ID35yh1TOlIqeZRFIEACn1VrvLUVq3SiFw2x0riVnGUIrZyY508N787Af71XljHPeMjS4Fwcv5wWTnK1btw5AvmWNaTKW9zFkkjMgdkPN4xjSpTBPUHXwpnJ2sO7iyZ8eBkCZmoI0DzTwhrvvbnmeFRywleiFEfObjLTjzIFKkJgrTUoEzzZRE5wgFBs8dWNqVlXGK+i6r6IPcRx6AOyLTo/PvazmC81UCB/8ctyEX9pQRGmjlF9YI5/rdF8pHojtlR1U7pVl8W/fty3xvjXDLf/piqH6QBX+uNwp3qCHNU+WPebhXAg4QDgdZDrHj/scpV8/knhONATWDcYHdNbrV4yZhiDyX80Vg0DNZsvyhBMUXXuecnyIMzbH59yVvwNe8xHCtoeyiafeQTkDgNV9hrFLRqecVsROaiYXPIIJHwPHDaAwoHPZbOIBgEYAUJtVu7RiDmQ/hH65sOQsQzQacimkr68vei5PcqaVhE996lN4ylOeAiBf1cMcM5COI+/ZWb0Ek5wNDg4CAGq1VvvYrJAm0r2knAGy/BPI6RwjYJNfw5BSzty+1saFW/YUo2Q7C0xvbT9WQBuUdH0oNsO8vSPplVZXOVlGr4eQylnGSZr+tsESoeRmzMgMRMoZi/fLnX99N2Zun8GnX1LDqlK284U0CdQzxFjRgTcszzFWzYecuY6hnJU7pzVZloA9/PWx6PEvdxXR1Pf6hgBjDG6fCyc9UXiFQIJQ216DeyCpevCmwFGrCf/rdHlNyFL1IJLXHCKGcyvjuO9D2+BP+NGCVhgCEMjWIZUAXcRQdIFj1gj88THJEysr5bxmGIKk8bM3xdfwrI5p/T1r0g6tQx7cfheeKiXOwxAkDa2cHTccLxRb5cyiI3QSWyrFRd69oJw98YlPjFzt8lQ95iNnVjmLYZKz/v5+APmSs/S+yjMWoJWc6XMsj2OICDiuEZvbFFbHx7juQ3vxd9bgmtuzy0Dqu+MEbdqN43loWhop+BPdvwYQR8cV8OjSR4SP77wFP7rnVzjjQWOFXxBEIDJN0ojHiarDgH7P6PfKWF3QTmOmcgYAu770MIbKwMVnyP1Zz2hNRC9Kl3SPV8FBQZEzZGjaYqIZGPGUOjs3VDNsZXb74/TqtZcP46qd8r6vlWlWcDIz3yFBCVMSDd3r+rw/yr5fCEQI1El26UO3Y+7uOTz8td1RWWMQkFwkyZAxkpBjPACgpEjRRScn2VhWpZ+6rLFckEp5MBvvv+PWEJ59kjzhsyJnuvy8hORB4g7Kcz9y2axndxAFAVpmLQKxcnbhEfG+K2Y9hH6ZsOQsQ2jlrB05y9Ot0XVdFIuybyBP1UPHALSqMVY5i6EVz14lZ3fccUdOkUhocqYVs1zVaQKO8OW+GTlnGMNnDkWv9Rk3lWvvzc4KrLEnPrcKLnD7wBoAwL5CP3w44A0B3s0yS5LJYafSRp17Pb42jdNr0wCAZ931IJoH5XFVWl8Cr2TraEkCUVmjw5K29VmVD2ro1eEyS+4TTYjKKomsN7PZPjoeXdboFFmknPG5fBb3mkF8nhXWFHDCu44HAOwp9iXex1h2x5DZi0eMYW9dbSNt/uNkOOuMgHAuvt4cXDWoYlE5gOLWWZc1ajOQ6O+5EANFuU0qTQbBke2iDABdOFBS26SQqqfOSsA3e87u+4f78fvX3x4TNAfw1LGcNTkrpshZab08zj3l3OhXs7vPNoPkLMOiGvb+9ifV8a8vqWHLuvi9tqzRoiM04SiX46UXnThefPHF+NWvfpVpPGaSr1WGXiFntqyxM/S2cBynJ8hZmki/7W1vyykSiU5ljfmY7gDrA3mXHTlnBOVNZUw+Tt4x+g23xGaXTTjmw8RYnED3FwjfWi8T2RJxPHhQ9p1RF1f0SZEzdPhInRCmk6A7//ouAIDb78Id9LI1ByCKKjEdBpQMi/hm1uRM7a5yagOWj5D3kZicZROPTgZ1WaNTiMsazdX9LNHwgRMbctDbwPH9GDhRXhdFqh8lj3lHNx0tXWKbTKZb392qSkAdgDI670kA/ozcN3cMrMaDQ9KpSCtnKg3JtqyRE/wUOSMChssyiNkGU8pZdjGBCA2lnBXVeVVMMdastpEua+x3OebuqYBCwsztspyRuQyeYq1ZGYKkyVlUBaIchx3VLJglwfeDWCUrbylj8FS5+HnBkT4uHvWxaWO8qmbLGi06Yr6yRkD2fmUJM8nXvUt5zhcbGopVBVvW2Bmm4qn7F3tJOTOP6TyQXgTJUzkjAga1U+OQvDtUj5GJkXZwBLJNGiuz8d3TcYCmI7dPWXBM1RyAOqtcSwIRwDt/pi6letYpyY1gjhdgoGwzR05Ro7nDAKNNGM2ME/zYECSZ9egBsFmTs0g5M+aKaXKW5Sw6E00fWB2q++vGUuTWmCb8We473bu5tyiJoq/Os4dUkQxzGCjIKJMlQjgtf/zNg+vxSE0m1lo5c1zVL5ThJbK2s9Y6SV0AQ4qczTWZXNTJtNc0NiMqq2S+mOo3zYp8aOXMHPTe3CsfM4dlrpzp7ympc8pVBiB6Ic91s59z5odxOfPQaYNRD6cuHR4qxfvOljVadIQua2ynnAHAT37yk0xJiJnkawdJ7SiZB9asWRM9TqsxmzZtwjXXXJNxRL2JXus5+/SnPw1AkmvGGDjnuZJpPSNPE9dclTOKhz176maGsvzXLGvMkpylSxabjrwNlASHNNtjXSZngOCdHRt1svOSx83Tac9YpivoJCjigq6TvLFnXtaojo1SqudMJyC6xSo35azIUFAjIsKZPHvOVJJYdqLhuK3kjGWW63NVZloRcgf5TJ9nOZU1qn0zVSiiquoYeU05XOaknIUslYISRQn1XFNdhzJWzpop5Wx4czH5loxC0efzmkbcKMmNOXVRb17GZY0FtUO0udXEtZMQgYjKGrOcG94MjOtQyYFTUuqdvjYaTpeFfNeMFw1LzjLEoZQzALi7jcX1SsEcZqwHY+tZbHnAdLGcmmqdXfHCF74wy3B6Fr1Gzr74xS8CAObm5qKFhzS5zhJpcpa3cqaHPevGaa9fxmOWNWZJzkw3xpE3noAGk/GUSKARMADU1aHPRLKpvxO50gkh8+fbP9muoJMh1DFG6DfIWV7KWVTWqO7aOgHRK/udnMu6Ho/6/X+17z4AqsQq57JGPzSGUJfdSDkrksAzTw5a3psF9P456MtYfEfHJOPsdvnwvCBEM9WmvFJMzqpaOVMxZ7oAIm30PeNLzbLGOd+RYzgynl2h+Y9WzsqlZOllZsqZuoUOGD1V5siVoupBzep4jsoatXLWF9OHg1dPRKWxWbs1xkZATqSc6Xtcn1HKaJUzi46Yr+dMw+y7WmnocrRSqdQT5MxMnu+6666W1+fm5rIMp2ehewXNnrNf//rXuPbaa/MMC0C88NBL5CxvK/3BlHLWN6jIGTd7zrKLSd+4fv/KszH0hJGorLEkOOoBADD4B7sYkAAQClCHuzZXLEhMzcd6slXOYJhDOiwutQKA6nS2BESTId3r4SmSr5P/QsYr6EGIBFGuPVSPzEnC2XwMQThPWuk7BZlQD3sC5x2T3DDNIJtp5vo8a0BuG18tghRzUM6IKCLOk14JFSdJzly2MjboE7+d7GjkM1MH3vD1fvzn/cZ9yyBnP36oH38YdzNVzkggGkKtFz3SRhLZlTXK7y8bFz6z1Lug+mCzunfEypn8XnMsDK/xyEo/S/U1sShTdOCqMoLGfpVrm8qZ7Tmz6IT53Bo1skwgdQJdLBZ7jpxZdEY75QwAnva0p+UVUoReUs7SPWd5GYLonjNdo98/LC+7ZlljM8PQmOpzKQ878IyeM1nWyOBPBqg/0r1hPkQA9ymRWJgQAnjF+A5MX757/g/JUjkTBE5xz9mw0btQmcyYnGnlTJMPdRxN3zIDIoLrZNt74ofAMI9JGIUU9VOGc2EUz0Axu6w65EBZKdFOyQFT5EwEAn/6+JRylhE50+RZlw1H5cN6Ppwj48sEFBOxWbcQKWehVs60GtvFWzARQfDOIzC+dGMJL7rrXqwyjiUQReQMAF73s7XZDn0XFBlsaFJWTs0Zy4p8RPMEjbxIGFUPRbVhslLyI+VMLw4b5IwVWGwIQtmcX4AkpmtVr2lhVQFDZ0jfgpnfy/acsqGWWbdGi45YSFljlkmtVs4sOTt80Gg08N73vhdAKznLA+Pj44m/HXWX/81vfpNHOOCcR8d1rxiCREm1upkNKHJmljUGYXblO0yVUg0MMBS92EWuTAJNn1A+ooRgLuxePEQgXyCstd/+5SDAaw5sj/6e8GT1QHG9YUWetXJGFCWFDkMiYdRzkLKCVs4GQ/mguDbeLrN3zkUr6GFGh3cQAusMk4JjXn9U3IgfEG5+t6xwGCpml1WHPFXW6DI5/FwAJ67luP+DM9g4IF/PrKxRlaDpXjP9b1HoskYGdLF8eD6QiHs+Q8ZQVfMNuRoarvJqiG5egwTmLUtcfc84njyXvH+QSJo47Ku4mZcz60pT3dOVTuqzCkeTQLPs0yxr7OuXOy2rHli9+ONFPWcxfXAKTrQok2XPWRACW5pVAEB5cxn9R8tqGV6X55g5wNsqZxYdcShDECAfclYqlSKnxDxLB9spG3mTj17DJz/5SWzbtg1Ab5Czt771rYm/9+zZAwD4i7/4izzCSZxjTJXq5G0I4umVctUwPTTSqpwFHF3t85oPjso++vodFFwCGENDJY7NBqEwIhM30S2bb0Ji5T6Ncko2nFOJo+lkxxhAmTbExNVUrgM877R4eXoy40ukTooG1IiIkjE/K5wNwFSTTJbKmXZGHD57GAMnDkTHNoUUDe8VGfYLcWEsgpQcMMZi9SwUWNNPUaLW8LNVzrRLY6RQ61UGBxAZnfNA7JbKmYOzT5LPhhVFaNUm6eb6FWmH1g4/cW2bE4nXeWIhxGXdHULNa4eel6hnr3mKbOSlnOl94RmrLqaZU1mRs+pMNqsyrT1nhnLmMbj6GMq452xjoCplNpXiRSK1ncyyRttzZtERC1HOdHKZBUzlTBPGRqOReQOuRjtlwySyAHDDDTd07fsOHDiA//qv/8p1ttti8cADD0SPTSv9vGD2Bv7yl7/MMRKJdL8ZkPMQagG4Kjth6u41slpedgd4GC3DMpYdOfP0CI0Si/qVdOIY1EQcT5dKrkhA3mk6ZDXlFGn+7BGnAkCyH4cB1KXyHV7jmL13foZFIg7XYcAzTw7xpifKa/O9Y9kqZzqOASWh6bJG+diLlLOs5h0FYbywoM1tTHIWJfqEzPqFeEhRb45Tkge1ow5uUseRLt0bO5iNbZs+frViVne0S6s83pnDMjUEicgZGD78ShlDoPo8terRzfWPyASow2XNdVrPo/pDdQx5KUfCLsY0tXUajT2dcywSbZSztNt/Vse0+h7XYDuzt88iVGqnNiypTWWzKqPJWbTYaO4/QXDV9sqSnDUDoF9fiwa96NwXvgARRYPEAevWaDEPtCrVLnHUyFI5M3vOPM+D53mycTjIp6m7nbIxMDCQ+PuCCy7oGnl87nOfi7/8y7/E//2//7crn5c1TEOQvKBVKQDYsGFDjpFI6MUN8xzLUzkjAlxKkbNBhrrjwgUlShuzIGckCJ7K9t2CE92wInKm+8Koi/0w6vd3WrHuM643R/9/x2F7nxzrYW6PbiayYTVE/eH6vCvoppW+EmDxuvPlIs6D+7O9bepkcMOMnEG56gkj0WsUiGjFOqvD2w/kwHIgJkIROeNGkkasq6rHfCgo9ZUVneg8c6K+MxnDjil5HXj1x9a0+YTuI1bO5AapKROOPqOskThlshhqDoFfNUgYXuPCKTrgNY6wxldQORMdjwHPmB/20IbV0ePaNXGpI0Pn68ZSIHwRn9DtQASulTN1bSylDUEyLmt0Umzn4K8nAMRKkDYwWWlEhiAqMPO4FQFFix9Zru0HAUXnk1OS5z7zmCynDQl9VjmzWAh0OdpJJ50UPZeXcsY5B+ccjLEoeTXVszyQVjbe8IY3tE34u6V0/f73vwcAfO973+vK52UB84Loum6Lspg1CoX4ipel02gnzKec/f73v4+cLrOC4AQHcvFYrzSWvLh0b0iZhTDI8qsVj6cR98G4LovylIYiZ7yuyVkX7fQJUvnq8HFaORsaXYVNz1gHZW6XJIdMbsuugDGEc2HHMksdc2wIIr93UPXC1DMylNAQBBzZrGJETaUdOGkAq8+XyawIKSL/9YxW0IOUfTUQkzMRioiciXlUk27jSDWfs3BkfN7HJU7J/cwFw/axDAiRNgRhLk4/guPck5VRirkg0+2Zgh2gzyUOhnKRgTEW9XT6B/3oOsC7GYvqOet0DDgGSbrvuE3R49nb41mrDc66ppwREYQvItLeCWnlrJQqa8xsTp46bN3UfSFUrpva7CIrM6m0cjZwfLxwTqGICX6Wt1g1foWVjEUZo7TRNASxPWcWbVGtVvHQQw+hWCzixBNPjJ7PSznT6lixWIx6c3qNnL3uda9LKDMa1Wq1q9978ODBrn5eVnBdN9p3ecHcPyZRywtpp0YgjvHGG2/EP/7jP2Yajy6pEqkSnllFzv7xoVvhEMm2rAyUM72aHzAnSqKB2BQkUs66WGZJRPI47ZD49Sly5va7YAwYKKl8zDAx6KZ5AoUE3hBR03hbiKQhCBCXxWTV2xWFIoA1yoBj6LRBFEYKUYJJAUUN+kFGZbHp2UIA4KhMlkKCy2JjgKyUs43qnlA6uh8iFGjsbURuctGCg4ET/4LwyIGVjc08187cHOLjfy73YR9PHUAZJLP6OhQyFvVQFdfIa1Aw6Ufqa1fLGmn+njPz0Ki4Hja+QC7EljfFbR8M3es5o4DkdpjvlklkkDO1nXIqaxQEbPDrWPf7fYnnGwdUxZPaj82MDIqCUJrZbKioc21jEWueIlVoEZDRc5ZdTuI04/EZ0XPa0t8XiVJGz5Y1WrSDThqHhoYSCW1eyplZ0qih1YaViqFarc5LPtNlZwMDA5H7X/pzuonDmZzljV5TzvQxZMZlbqdPfOITmcajTSwoRaJ1urHFr2NLsypLwDLoGYpNARhMvqjLGus1YyBsN5UzzFPWqPaZ7l8a7pMJbSKGLipnxAmiwRHOQ85IJA1BAIOcZdy6KAgY5rJaoLBKHtcsIkMCA5vlQkSYUVIklbNkf1eUSQhE0oKg7qkehwJTx4ZXdsArHP5kEBkWhHPy+PrAU5J9hn/YtXLxEFFUTtl05EJIsU8Pn+c48LtpGTeQkXIWn/daAdaDw8O5MHZr7CY547LnrFPZpvlVsyigTzvtNQX+11NlDnLyWt41l1YSJK8h83yedGuUG0Of9+kUJDNDEAH8f3vuif5ec4FUy/XxrFUhP6Prke8Tzp07iL4gRPnIMgaOH4iINIWUcGvMYlFGCEIhaDUncdSsM7048o9/PIf3vXwG/eV8F7IXC0vOMoI5OLjd8xpZKWemU6PGSipnu3fvxsaNG3Hcccd1JFdp5WxwcDARy8knnwyge+RscHAQQD69SN1AL5Azc6GhF8iZOQNOw3zcjuyvJPSKNaWUs92lwejxau7LkpEMbmia7HC0J2fVStxoxf1uZUVQWWj7l7VVtKNWP4fKFJEzXY4le866tH2EXNGf7/OIKJrXEytnyuCBZ6cIAbK8aUQPMlcJddRPFRLKg0r1zIgIte05YywqbXz4Y/fL2DJUzvS5o9q6wFwWWX1v+9B98Cd8vOCk5H2tvJKXKxEfuz5z4TlAsRifcPd/9EF86hp1781gE+kSS85Y5Iaoj6VgNowISDdL0kRd9Zt1+H3m+TfHnUj9EA2O15wr85NagO5dFwUATvOXJVJrWWPLx2RlCMJjV1QgHi2iyxpLipw1sppzFgKvGt8BAFh93irZ32XME4zUV0Imx7RpTJSw9dfKmXJsfOMf1fG251VWPqAuw5KzjNCJnKWJQVbKmenUqKHJmVb5uolbb70V1WoVe/fuxfbt29u+p51yZsaizUEqle6caMPDw135nLyQNdFoB1OhKhQK+PznP59jNO3JmUkgMydnvH1Z49mv3xg9XhM0EWZkOx7Fw2KHtnc+rRElRvVKTIY6DY1eLEQoJLnq8HGanHnKXW+4RAiV0thUJTyyKa8720cEOp55Ps+YnatFT+1sGQo2f79alyEIGAqT5Cwy4Agojiuj4a9cxGWNbik+n3SyXbl9Fi4JWcWaETdzuCZncr8yN95GADB79xyGCslgVtK9jfsc4PLnh4zBc5LJvkOEj/yiT5YPZ6EyKKIYwonmiJmDwx0zse4SZu+Zk6Sww2cyQ/LZj2LstNcUUZ9XwJkcZN0FSPdImvdHEsUEtdPxkdWyjKBkgq5HaGjlTJOzzIZQGyM0Njx7PQCjnDmg6DqZ1aJMEBqD58umchY7NgK61ztDl5IuIf/s7jGCTuQs7YyYlXLWztZ/JZWzAwcOtH1sIq2cDQwMoFarJf4GuqecLcSG/q//+q9xwgkn4M477+zKd3YT7ZSzrFXAtHJ28cUXA2h12cwKvaac6T4prZwRJ/A6x/P+uIDZJx0BAFgTNqX5RAYrstp0hBs9Zx96TgMXPk6ZF9RVj5fLotX2ZX+nL4AOZIiIUNDXRrXiOVyOZ0Pd/a57UH+kDjisazOhRCBk8/h8n0cUJWnpnjOfM4RZkjMBrA/lNTkqa9Q9Z6GAPryzmhQhyZkua2yfwfYJDp7hnDOm43EZQJKYNQ/ExlHMY4nhxsDKlqfqPjdRcADG4Doyef3x2qMAAAcK8t6zfdLNRjkzyhq1clbQZY2zYdQnKKh7ZZaxG2WH1xVhvGFoA8bQF5ejNUViHAN16ZZGyqCkUzyV7VU8+M/bsXH/NIB48SqNbihnczXCE98i8KnvdN7WXADMeFkPn4/Imbr1NjMyKAoM8yFN7OPrUNqldeXjCbmhnJk9Z6U2vaaHHzez5CwrLFQ5m5mZySSe+ZSzvMjZQpWzbpGzhTgdfu5zn8OOHTvwwx/+sCvfuVyYyY42AzEHQa+E6jkf0oYgeptmORLCxKGUs6xLQbWaoHvOgtkQjTFp4+4MyLgGeaiUswzi0QYlQKKssdwfr1oTyRe7ZaUvApJkqM3vEyIeaqpXPFf1icigBACmb5mWq7JdShpFQGAem7eH7ZFv78Ef/7+t6OOxquA6sXNjcy67RRBBwNENWS3Qp9wI9Yq1CGPlLMio54wLoKzLGovtU4iy4MqJMJOQwPR4iEg5c+AfjMkZr3EUUi59/goqDkKRd6EyVq2aXbHpWADxrLP3/Wo4k/NeL2xIciafc9X1J6yEsVuj6J57pGhwWX7b6Qeq68uvVh2Bf3tZLTr/eVMkE/2u1Vpqc5H28dz7/m2o3l/FS6+9AyXB0Xf9XjTHW+9jYbD87fO1K4FbtgHv/rd5yBmXhigahTVFMFeq9tLsQqmLWbk1hq0zO/UsQRGkXVpX/qA2B8+bypk3JB9XtqkKq8OU5RymYR9+WCg5Gx8fRxboRXKWVs4KhcKKkrPFDHDuhRJCIEm+9D78/Oc/jzVrpGuSqTRmgTQ58zwPjDGEYZjL0OdDKWdZkzOhludJrSI3xupwhzy50tgfD6UNxcoNpOU1jjk1dDlWzljUIwDE5Wl/VJlAMyAwJzUEehkgX6jZM62fJwgo6mujutGvG6RIOQPk7Co4XbTSF6rUZZ7Nve+H+zE428BTZ/ZhaM9MlKRp57baTLbK2RG+GhFxpLxGM8OtsZtJ2ld/Svjfl4l5FS8hpGsbEKudafQLyXxCPxtjAIfiskYQwFxg1bmrovfwGgdzgL+9KE62V7IcLKwpcuYlyVnoJWedzTazKbnSA+VDwxBEX394PVaqqIvKGfeFXNFo83FEBEfFdNE5HM84OYyuQcIgZ6KLyhlEct5bS7yN+Jy+fNvVKP/PLtz7gfta3je3ffn5x0JujYKSxpJu2UFRlTY2x33DHXHZ4SwIpnKmyZl5HXINtTOLKpCEcmb0nGlV75Fvjiky3n5hsNfRGxnnYwCanKWtz9Nljfv3788kHt23ZQ4xXklyNj09HT2emppq+552ybzZX6Zj7ZY6dChylge5OBRMYmvOe9P9c912slwMHMcBYyxX9azdIkiuPWcqASFV1sc8B47ngAThyE1qhIXgCKmL5COFYDpAc1weKyJSzljChUybcTx57gDGr56QZY3dUs58AeagbamLEEBBvcBUor9+kKIVUUD3M7BI9Vt+QCTLLBdAhjf7NZz8zbtw+5vuxOSNk5Eds9+lfryFQFBswKFdyXQ/1djle8BUUtmNJO0NHyP863eB6+/q/B4ugIJO0grtz6cBFS/v1j6bByFPDnonVdZ47JuPRmG1LAPldQ7mMrzgtPh+u5LKGa9JRqGVs0gJ8hgEgBIJOCTgd3GOVyfM3TuH5n55/nPmxORMHUuizhNkqLl/+ddtEQqQkP2abYk+AU6YLElzDEMQbWMfCoA3u3Mf1sSs07qDLhkG4uNbb4uXnhXfa7uxaLWQNcK0cuaUHJQ2KHJ2oLkiJi7zIQzRQs5MtdNxjNLYDJSzkMc9Z66hnPFafLyIhph35ngvw5KzjLBQ5ayTqtRt6O8xhzyvJDkziU6akGrobbF9+3ZMTk4mXjvllFMi84lO//1iYZY1thtObJILHdstt9yCyy67LLNeChNEhLvvvjv62yRnWlXMWjlrtx10H2Oj0cDVV1+Nr3zlK5nF02vKmV711cqZU5IOVySA1avktaBfhHI2zArNqTJXw83eE1M5cwxjh+lbpqUhSJcSa1lG6LQ9VrhZ1qiVswERlX0BsseCuaxlmPCS4xFSGVxIyd3LJh6KHj/wse0oKpXqIz8poVrP5hqQILBqpdox3CVmv/8IgO66Ne6f7PwaN+LpNNBXk7Mwg9lrITfKrTw5WJ0xBnfAxREvksY7UjljOHUdx1knyOumv4LlYNpMh0fKmerz8lg08L0suHT+XOF7SeX+KgLl8MfBIrMNV5Uy8xpPGIJUdy3/HkLcUH06/Dw9XJmpa09xTRHMY2jsa0LMBSoehsbuxvwzCRcak9CmIO1PFE3k2+GzL6vh+LVKLe5f/jRjdwGZtyDAbHtzik5icPhKzKabD2FI0XmmmUOkdja40SeYTf+0qZw5Rs+ZLtcF5KLMvHPtehiWnGWEhRqCPJbJmX7Pli1bsHq1nOlx3nnnAQDe/OY3d52cmWinxpnbQX/nE5/4RLzzne/EL37xi67HcCjMzs5iYmIi+tskZ1pVzJqcjYyMtDynyVmz2cQznvEMvPGNb+zo0NlttCNnJgnPfPxAaChnIcEtO3LVUVBUitG3wsoZEPe+6T4yAZZoeDfJGfpcwEHXlDMKpHteuxu2LJFLGoKsG6Ao+Qdknx5zGUS3hGyOQ7s1doCjkpMvXV/Cj2/oUjyHgBAUK1VespwIAII98toV8O5lIXPzFCcIAXiaLHrtv7NfrUp0oz/nUEgoZ9qZjQGNsUZculfjsjQ2EDhxs4yt6Xf6xOVDr95zdb3xXKB50Ee5QKg7upyZo8FXvuRKzveKy5l1aa7b11rWyAkQ3ShFVecWRf+XDgpwNDlTAbn9LgZPGQQEULt9xoiHI5juwj2fCJinTLIw0pmceS5w0nq1DbvgRLgQciZ3WfIardW9nZ/bFalqmZU1quNCsLgCLBr03kha6WexeG32nJlzzo585ebosTZuymEtfdmw5Cwj6IP1saqcmcrUoZQzswztRz/6Eb7zne/gXe96V9fJmRlTu3LAdsqZRlblpybSMbQjZ1mWNVYqFVx77bUAgLe97W3R8+2Oo6xGRLQjZ6ecckr0OPPeQa1YKTLg9rmyRE89BuQNhgusmHIGGNbGmqSlhlDrJBYAqM+Tylm33BF9aV3f7g4pCChocwmlnI30xQ6OABDOyvOdAV1ZkSXtUb2EJMs45VDN5pAGb6okzGFxUmSUE8ZmDt37zrl51ni4IEPJa38+9aukKezWrLx5MFttLbfSc/VMAiJLdQkFdXtZSeUsVE5xoVHW2DzQxAkjIepO3HfmZ0HOKJ5zFjIncvmLt02sehBYZEG+rO9UDVMM7RNjIoqUM7NvsaSUod3/thNMO6a6Tnfc/wTmHYrdydxm/FcHAcTnmejCcbPQskbPiNUpOjGBFADbL0/SMKCol3gloc9lMuoE2/UJcoFMerxkWWOrclZcW8TASbKSKFbODj92ZslZRlhIWWO5XEa1Ws0kwdbGI+vWrUt8P5CPckZEbQnshg0b8PKXvxyO43SdnJkxtdvm5nYIwzBxUW+nGK000jeVvJWzV7ziFXjkEVlS9YQnPCF6Xitn+/bti57LihS1I2ebN8crabn1nDGlnPW5kYqkHab6eIhAzO8euOw49HyzDmWNq54QH8/cc2UiG85vDLFQCGUI0i7BMssaWTGec2YmJeGc0X/WjSVQkj1sncjnfIkON9TErOYr6944c1aeO2COh1BOoF1ska0cUjlT1+oOZY0bAnntDDLozXv1h8lwkQMASWJZkcFR6jSvczXIPJ6htaJujXWtnMWGII7HcPI6HpU1joR+1waa8xpvP6pCyhiJIdTFqKwxJmeyFFRdI7pxYEe7nTqwM8BVPWfMGMcQVuN8SI4Y0Xbyy48prITyczpdZzv87h2X7QQQO7XyLlynF1rWOMKNcRAFlijRc7QDZ4ho4PJKgivlzCRnmhTxOjcMQZZWlbBYyLLG1p4zAAnFPO3zcLjAkrOMsJCyRq1irYRj48GDBxOlezqJN+dR5UnOzKS608m0kspZu99sKmdBEGB2drYlliyR7ovLu+fspz/9afS4XRnh7t27o+fMWFcS7cgZYwx/+7d/C0AuRmhCmQWYoZyJpkBxQwmljSUQj8sa+7VytoLkDJwQzASJskZ9KQpmA3iDHu7YKK8/OqEmLL93gIhAIUWlnGkkyhpVoj9YJnhGMqaVs67VphDmVc5EvfOPZsZLjclspr/qxJpMk5uhuLqAmUlRl7ZRZZ5+OrPnjBm9b2suWB09PqKpVvWbK5+k/eZ2RG6NMJQz5rJYHarJFXQREAqKnKykWyNvJJUzz5HjG9YOCEx5cvHq/LkDshS1C5toaus06o+03sP8CR8QsTELB4PmQo4qsRYNAX/CjxwleRcWsIg0KetwDSHAVVKvOaNq3VPXRo83BA0QMQhVjrhc1HbXVf9t+9cPVSkQ9eV1oaLATHE6kj2fR+XMTlmabZl9caypTGcYsunx0pdhc5GoHM+mM39TFnPOeAflDEiSM62iH26w5CwjLEQ50+Ss26WNMzMzWL9+PTZt2hQ9p4mH2Y+TZ1mj3g7z9QStJDlr5yyYLms090ueToQaeStnJsz9ppWzhx9+OHpuJfoE26EdOQOAP/uzPwMA3HTTTTjqqKPwox/9KJN4ojlnkImSN+DCKbupskZlpd+F1UYRCBy8dqIlSRecMHnjlEzWIFfQ+ZQvh2JXQvhTAX5fXAUA+NmdRonjMgmjHEIrS5za8QZZ1phM9IfLcV8OgMjMQH7gssJRMcnepHAubNvLEtY61y15RtbBMyjZAxA5fQhD6jTJGRAPzA27pJ7NVDq/xo2eM1M5O/E9J+CkvzkBALBeWf9n0XMGxEoec2QnDnOleha5ySlDEOJGWWMGyllEzhjBKTjoLxBuGZTVKhv9OppdImfCFxCN1p0/t60ilTPDSl8rZ4zFM81+/4Y7MKT7BLtRzixUiWRTyCHy6ZcDAVcQOADPOIbWXLgGhTXyPn9EoAi+6M424nWu3Brbf9ihrnUROevCOWaep50WCQYqMsegAQ9/9I1zAABrL1gTv0EdY2Ke39RNaILfTjnTrohaXQxXsGRYI+StZlIaZsmuNQSxmBcLUc66bRWv8cADDwBAQvnRBEwn0kBvKGdmv1kaK1nW2I5spQ1BzHEAWSlBJhZCzvKy0m+nnJkKcFbbq9N5Zh7nAPDJT34yk3j0AFViDHAZmOeAeZBljSlDkG4M7KWAEM4ECM0hyUQgTvI5RQAFGPhkEyIUcPtdMBBmQ7UPVSLHqAvkLJQlhGYiaMLsq9CJfn8BuPTYc7CrJNXgcC6ECERnc4HFxiSkksebImG7HMVU60y6zHJLcpd3119oQqWVM9FBOQNDPIi6S0nR9j2dXxMCUU+gaQjCHIbSJnmeDXDlDpjRNBJXE3yXgel/nThpqz9UR+WBCogTigVV1riCCaSemaXJGc0FYB5Dvwc8VJbH9TCX97FuLcq0K8elkFTPmS5njnvO0tjE5f2uGSw/myVBYACCuRDNg63Xfq7K8ALmJPqvGGNYc75UYFcJ7djYHdFcNKV62am3lw5BSiOFugsVDuZ52uhwa3TVAUrDxagfjrkMa58u1cVohEZG7ohRWaPTSs7CuRDVHdXIbKY+s/LsLOSdXWNNJ1KrnFnMi05Jo/n3SrkRmoOmNbJWzg5FzhajnKWNMZaKxZQ1hmGImZmZtq9lhTQ5M2PoReWsk7PkSqKTcpY+B7KKh4XxDc3xVMLoOgAjecNlcuaRCEVXhlATJ/CAEjPBiBMgCLzB4zlnjCl7eiEdtxwWDX4ukcCV93rSsXGZiSNxilcuOxiCaDMHvTTNGPDImhH89YlPRri+T7q37aypj+hGlqYS1bpIulQqtCNsGqZythwL6y/+iLD6BYQ7tx/690ROmwYZLBjkTDRFNH+tW+TsDzs7v5a00pfbb+6+CprjTXiDMq5BVQOVlXIW95zFyhkY0DgQXyMf+OiDAFGUQDZXMDbdAxSq+ztrCjhFqZzNufI+NqjI2cRs+89YFDhBNJK/h9SiDCjulZRuje1/9yrV3xR2w1xCVSL2H93XomoAMJQ8B4XULV8vPAyp7SMQL3ItB4wRyhtLHUeEHGohSp993TAEWQg5i9ws08RDOxM21AIIdYfgHwrRzEJzPqZhonL3u+6J+jkn71/5PCRRXp06xjw17oDXONhhKp1ZcpYROpGz//iP/8Dxxx+P733ve5Fq1C3yoTEfOctKOTtUWWOnpNpE1mWNaeXMJGe9ppzlNedMox05M2fV5V3WePzxxyf+zopcRzd8l8lVWwZFQpTznnr5tJmprvQyEBEQikSiIUICcZkwRsYAYPAcOWTVKTigQKCprk1FwbH1YU8mWMtUPmRyqMoa2xmCcMBVy76OocIIko8PrhoEANR3N5Tj4/LiAWQcTtnpmIzxecoa33lBXNWwnPKvv/oEYaYCvOszC/iMNj1nTsnBEX8my9Tn7pnDKqES6y4pVWMHO79mGoIwj8lBvUTyWFJkt1/dw1bS5MaE7jljLsBIKSQOg2cYpwTToYxdJZDdIrLtoOdyBWrBwyUBp+ygzxOoKHKmlbOJueV/Hwm0zAGcu7ciiT0hWqwJGUsoZ0e99sjo8QjJePywW8qZ3A/tFlT0ggNnDF4qC9UEX5MzTmz51yEiCC6P105ulKZydtvAGgw+c0Pi9bisMRvlzNHmQ6kNFB3TuqyxCxUOC4EwzK00GGMob44X+PWxVa9mYwhSSPUra0TK2aO9rHF0dPTjo6Oj142Ojn5jdHS0kHrtlaOjo78eHR29ZnR09PyVCfPwRydydsYZZ2D79u14yUtesmLkzDSv0BdKTTzaKWfdLqsEFq6c9VJZ43zKWb1ex0tf+lJ84hOf6EosC8Hh0nOm9+EVV1wRPdcLytkHPvCBzOPRJh/MY3A82dTNHCDNMj6w4/buGIIIubJr3qwpFJKYBRStoAsGuJ4cvLr6iavgDRfQZLFyNtcwhtYsAzo5nK/nLFLODGXob54pr0E1dc7zGpeqSDcW9RVZLAx5bWMKK50zwYvPaeKvLpDXzm6soC/ESCxya0yVUR756i3oO6oMCGB9KGPyl6kG9am1OiGAZod5V8kVa4ZgNoRTcKRC4gBwZKO+JwQyWpMxrPQdkFKFweTKvklAgokgNr5YwZJLXRrrO7GVvlN0UHZj5WyIB5LUdmMbEVoUoXA2kOc9ISIkHHHPGQBsfskRkZGLJotB2AWFWgDRAlSbc5YMBd+ctwgA3pC8Dg2JeHD2suNRAj7zWEdnQ5OchczB+tccLf9gcnvo1K0bQ58XpZylLP612QUZPWeZlDUGrddpADjpb08EAHgjXkTOgi46JDb2NNruf7OssUVdjAxBxKO3rHF0dPQsAFu2bt16IYBtAF5mvLYZwIsAPHPr1q1P37p1640rFulhjk7kzMRKDlnW0ISjnXLW19cH4LGpnLX7zWYCn1bOrrzySnz/+9/HJZdc0pVYFoL0Beqf/umfose91HP24IMPtryet3IGACeddFL0ODNypsmNw6LVfOYwELXevA7V87AQkCBpgW+QKhHIFcTC6gJEQ5MzBs9lKK4qwC276D+2H88/Xe6joTDAbJNFn7eseMLYfABqXMbEDZNojsvrjxBtZlQBGFZrRlVFGKd/PxMPGF4uOMlSl8hRLglpud0eIqCurqAviJzpFWvDf7u6s4bKtkpU4jSiEtluHtbj0+2fD7lhCKKYDis4sjyWYuVjUARd6c85FP74HCSs9BmAgeP6wRxJ0ja/5Aj0HS3vbaLJu26eYkKrC7rnLGDKEMRFlG35jouDXgkFIhzp15ZtTFLdWQMRIaxxNPbFC4oUyvlXRBQRt5A5KKUujaX1MgfQ5CwUXXBpFYSIEbVzaQ1jsthS1qiOn+FQHsyC2n/GouLhMh7mzqOcGaWTP1h7NApFRyb9SnmMBnV3oRzWHHvR6FDEwXR5adrsIkXOMi9rVNdpEcj7THmjPH54laPoypjrXUwhK9urbZVBSc7k8x0NQaqhJNfdCyczLEQ5ezKAX6jHPwNwgfHacwE0AfxSqWqDXY7vUYOFkLOVUs7ale/Np5z1qiGIfi2rskZzP3zve99LGIIcPDhP3c8KQcd7wgknYGZmBn/+538evdZLyplJYjXyVs6A5Gy67JQzdYwxFq/uuaxtUs67cNoTl30mwpzH1eToO6oPbr8LoY0BwOA4FN1ovUEXr3+qPK/WhQ3MNlhkJLKseEKKb4xqFV00BULlwMg7kLOhknyuwuQ5P3PrDPwpf9l32S/8kPDVW8pGH1zre7iaqzY9UG55jUIRJ2ldSO6dhSwwa0MQY/uIJodTcKJ5Z0PKPCFY5mFttvb8/Ob27yEu4AIgFu8z5sqkkQKK7L7XB42uqIuHwrpV6WOIUD6yLFVqFV/k2mgMy10JcjZ505Q051DqTEOlWH0FwC040WLAtn55LTqlPrNsclbfXZcuhL7A3La4RlIEJDN3Hrs1yjlnyf/eG5ZPjCgyFApatlIlhz1L9VJfQ0jIcR5ArJy1LWtUPWeD2lSmG2WNyj2SOZ3JmS4r/+bmE3HH4Fp4DkXHjWiK6JLRHUOQ+DPqnQxB9By4tCqkyxoNQ5DlVBR8/zeEv//qofd5VHavLlqV+ypo7GlE24hCwkal4De7NEKDROd7UHKkR3vlLKw+uuecrQagW1ZnABhentgIYB2AZwO4EcA7uhrdowh5KmftSEg75Wx4eBhA0sihW+imIUhWZY08lX195jOfiR7PzXWhUWCRMI8hva80ep2c9YJyZpKzbi+AmCBO0cqwTiqIxT1VzLgE9B0lCcCkV+xOI76Q32mWOJEvpHudy6IVfcEYXJfFtfoMKI4UQQxYFfqo1CgiU8sBcUrOv+HSrETnAYKQGiAsMVyWz82SMaB2dnn7jIjw1n8hvO/ng7KC1Oj5M6EH4VZKrb269/ztNoxMSJ/5bpY16lXottDHhaGcMZeBlZwokR1WZg7+MofRmiVbV93awThBu7bpeBRJc/sdUEjoO0qqVMc0qplYanNumsqoJJwx6YrKUuSsEsJRB3UXPCZaofp/tGLcJE3OCKzIcOJqef7tKcrr9Xq/gcYyE1k9roI4RfsG0MqZuh4ZZMgsawQQWdevUsw+4M7yy+RInfdGOXNjrIHprdMAYsOU+cjZQKh7zrqgDAkCI2UYk+rJjUJW2+igmkPnOklSr23iu1FabZY1Vmfbf6AbtreJ9xTx0OMaiIC29dkLxEs/RLj0q4Tf3TP/+9LkjHmGA6+6jj1r90MAZKlmN8ybSKgFhnbXaZ40JiIizN4tqUpxnbx2z90zJ6/nGYwa6DY6yxQxpgHoTHAEwGTqtau3bt1Ko6OjvwLwwfR/PDo6+hYAbwGAd7zjHXj2s5+9nHgPW+zfvx+ATArHxsbavkev5o+Pj3d8z1Kwb9++6PGNN96I0dHRKImfmpqKvmvVqlUAgLvuuguPPPJIYsUhCIJlxWSqcdVqteWzzL87fU+lIpOimZmZrmwfUz3Zt29fy2emh4FPTU1Fj7dt23bIeLuNvXv3ApAEJP2devtOTk5mFo8J8zhqR1z379+/7GNoIdAmJPV6veW7TAJORCsWC69xgOQKZxCqWTV9hOYJTRxsjAM+EJ4cIigEOOIfNmHH63dh2iuidpy/7JgoINC5HFNsCrNjMyBBCEc42CoADPAfkPFwMOCMEJWRCupjdWnB//gQWF2AMxmAqg34pzQxXh8HG1v6yqMIBPgpHIEXglYL7N2/F8GRIZpOAzNj09i7141K5Goba3AHZeLhVQsABnGgGicm/lE+mFNc8jaSC9FHAACm19VQ3iQw3mj9fdMT0wCA2bJBzhwo2zjgtOvuB9auQ63QwNjYJJYGGUez2cDY2BTCSgjHc1qGqQJAfU7NpisBlfUVQBDEsABzhFwSBXDi3DSw9mjsnTiIkbGlywxCbILOtKrVOsbGplveU5uV5kPkynjEMEfgcoRuAOIE73QX+C3wlNl9qG3YvKLn/O5xF9+/dgPOU9lbY20DzikMY2NjCLeEEOsJlSIHDcvXgyMCOGqS+MxcDWNjrQtJS4YAwg0hmuMNNJmqUGEysSw8nmNu1RzWPEHg6/97HJd/SC7KrAsbmAzmlnEcAeGmELRe/j7fia8h4ZEhxEYhCeMuZe3PHIQbq6gMxoSAHy9fGw7kPaR+dIC9B/Yuy0hBBAL8ZI7Ak7MUx8bGwJscYpNAc3cT9SlV1gyGYE0NlfXxvTgsSuaysVnHybUZ1I/xMVNuoDK29AVREoTwcSECLwCtEhh7ZKxFbdG99oH64Y2NFbB+BkwAlf458L4BACUEG0ME/vLuZT+9YS0AeX3ZOzGJsbE28pmSVPmwkOe9fnqLUjh9H3AAzoCDwUE4Y0v195PXoj88MIEjh5XxUhs0QqWQFQiV9RXQkEDoECrFCoYuHMTctRVsqlaAYeBOh+GcsT3LN+MgINwcwt/vt3zWb28bwOn63rGphmCtD5xPmHVm4ZzroHRsEc1dPqaaUyiXSrnkRYfCli1bOr62EHJ2A4B3A/g6gOcAuN547XoAuunmbAA70v/x1q1bvwjgi+rPw4++dgk7dshNUy6XO+4QrYYMDg7Ou9MWC1PJePGLXwwiipSMY489NvquzZs3Y2RkBDMzMyiXy1i3bl30342NjS0rJlPJYIy1fJYmXqVSqeP36CHdhUKhK9vHVDH7+vpaPnNoaGhBn9PNfTUf9Jy6YrHY8p3HHHMMAHmDySoeExs3boy+96KLLsKPf/zjxOsDAwNd22/zQe+z4eHhlu8yjW48z1uxWCZumIQIBNY/bR08yJVE5jvoG+vH8OOH4A642HfdfhTXFuHW5SW4JDic+0rYfObGRHnfYlEfa+DAbQcwfNYQVp24CpUHq5jdNovCqgKcooPZh2WCIxhD6QEPw48bwKqTV6Gxr4nJ2yZQXFVEMBmgNBWicF8Ja5+0OuHGtVhM3zGL+q4aimuLaBxoYuOz12P89wcxeMoABo8bxLQPTNBdAIDBqUG4dTmgu/8OlSjV41tG8eEi3Me5S95vUqGQn+ftHUSx1sSaJ69BeVNyBl4lkH2bFc943ljc9pQI7FWL2LJl9ZJi0R/YVy7jiI1HYOKBSRTXFDFywnDLO8tFubjGuIOBfQOYu6+C4qoinJKLkSNGMIFJPHHffgysCjBSXoMtW1oVvwVHZcgChWIftmwZaI2noBbamIPB8UFUd1ZRGC6gsKaA5gEfm87chAMYx/GNObgPF7HlWetaPqNbOPn1Ml6tnPXN9KO0vYQjXrgJ/qSP8V8dRPmIMopMqkN0N+CeLc+vUqkfW7Z0rxPj4HUTKPoCa85fg331AwCAIPQAFxh42MWqk4dQuX8Oo31FfE7NWlsXNOHVBtpu54WAiHDgD+MIpqT5hzdcwOYXSxfPfb/fh+a4D+ETCpPymOBgWD3dj0HD88tVjpIj2pliRxGb/nh1bNm+BFQerGL2gVkU1xYRTPk44kVHYObOGVR3yGuBUHP0OGMYnuvD4Hh8zJqq1iVjd6Gw61SMDBYxcuJI+msWjHAuxIGt4yitL6FxoNn2uraH5HnmC5kXrJoYxJjnwgdQ3ldGsSmv1ewRF8xn2HLc0q5DRIQ7d8a/sVxYjS1bWlPxQihzxgIvYHA8Pk6dpurznCVgFcBDhjW0BgNLPIaia9HAGpR3TmHNk1dHvaSA7J90ig7cQFZUOXDleb+jCuY56D+6D8e/+njcce2dOGZyFn/hbscH/vsE/M0bALfNqJLFgNc5Dt4zgXVPW9fyWR+7XOByJfX3H+hH884m3D4XPCAMnjqIvvX9aO7y4T7ogZ3MsOXE7POi5eCQW27r1q23A9g/Ojp6HYDHA/je6OjoF9RrdwLYPTo6eg2ANwD4TKfPeaxDl6TNV//a7Tle6e820a6skTEWEcRarYbbbrstMbi6WzH0iiHIYssa88Z8pbEnn3wyAOCee+7pziyoRcLcb1/72tdaxjf0WlnjitahC7laHsyGcVLPmLFSy2TfAAFu2RhEzakr5TuOGzuSuX2uNLhQh4wus+SQZY06Jrk5GEqqHKRcbcgh1Ms4lnhToLa9AnfQBZEcSkuCQAKo7aqjsacpDUGMGVWALMcqldTqtVHrKAKxrOqURBN+CEhJoU2jeVW+8b56e1JaXyWf5x3cDBeDbQ8DO2+tJubSpREdE45MXN2yg8KqIliRYfCkOCH7+4d+D38ZEyLS+7pTT1Zc3iT/YUyW6vYd2QfGgMKwXnAQ4Lx751m7XqGa4olRz5mDqJTRHfCMnjN5HDlFB9q8eKlljQ/tI+zc06YsTh3bU7dOR+XDusq0v0SqrJnBc4EZT55ngzxAs7GM40ggmmUGQZFxRjgXIpjlIC6vAbpviaes9IG456xfXaPDLpQRiqaQCgyLrzngqtSyKeIeODCzWhdAsvd0s19HSAxiuYYgFJfGMbSvcjPt/R0m3Rn1HK8dn9kFRy1ccI5lyQx3bk/+3c6tkYgwNd3B7EL1nHHDSr8b5kS1GiAaosWYauqWadQeqsfnvd4/LgOvhWjsayTmLr56XGk0XTApiXrOOlz4dVkjEaTZVsGJ2geK61S+OBHI+/FMRtaxXcJClDNs3bo1bUn3V8Zr7+9qRI9SLMYQpNuJbLsES5fBmeTM/PvKK6/EW9/6VpxyyimJEr6lwiQ67cjnQgxBsnZrXMm+pKVgvmPoyCOPxPDwMCYmJjA+Ph6pjFnBjGnt2rV497vfjY997GPRc71mCLKS0MnS9Nap+AbFpLOdN+SBFRy5Ki0gHe4grccDsXyreMEF4DkI62oxyGXSYVCthOqkS/ecRSRV2fv3byiiAmCw1gShb1lJSDgXgvuEe//XHzBwQj+Ofv1R0UDs5t4GcNoQuKDIcUsnZSIkFBQ5++XqzXj7vm3qeRnjkuMxyIbPGaiDjZdOehpO+4Ui3WsVNKQT3nKI/s69wImXDGDvJfO4rEZ9HbLHw+134fa7YE1AGKvJp9Zn4C+DMKbX8DoaZuh4dPkTky6kOinSfTol4m0XBpeCsBpi+rYZrLtwbdvXXcTbiBmkUW8NvQgCwrLdGo/9c/nfT3x6FqvOGIqTZ4G490ttoyZ3gALQV5KJowgFXAb4KsgiCSxn5KLuySEBDJw4iOaBJkgQeJ2DQcYxcHw/Jm+ZBhD3ePkTPgBCcW0pSvbLQQhGJK9Dy1iXnNo6hXAmlH2RTNrgExFESNKQpcGj7SPa9JyZGCv2YQgAlrtO2nIYtp4nwjBN0TFpclbbUcORx0wAOFL27y3xNDswRTj7Dcn/uN3+//nNQFHthHSpsza7ELWYnHVjDEu9LiBc3uoaTNIxNt1z5jgM7rAH4gSnr82g8S6QM9EQHXvOQJToOYMj552R6vMsbZC5bOWBKvp5GeFsiMJIoc0H9SbsEOqMsBhDkCyUM/0d5gw0IHZs/M///E8AwH333deVGLppCNKt7WNul3af2WvkTJPsdscQYwxHHy3nsujetCyR3m96LINGLyhnxWIR73vf+wCsLFkkTuANLsmEkcj2H9sHb9CDW3JQXFMEUVz2URZcmid0YcU69BzU5rQTCaG42phzqJ4WjMErGPODVPd+aW1sDlD1nWWRMwoEGrvraO5vYvKGKQDaDIQA1wFvCqiefwgg6nWgkFBU5Mx3XPxuaF30ecuJx2zC99Xqd9sVdB6voGusPj8uX3SVBMcFIvfL5YL7qqGtDdLKmTfoYfDkARTXl8BSssNyBmOnD712Q5orNYpX6bUxgDIEYS6TI+0KDALS5nq57pEaJuHRMEceOIZyFvXMMDmQGogJo/Bjt82lkDPTqW92Vx28btxbBUmCFsaxzqk+nf4+Y6GEiZicCbEsQk3KAMhcgCVOCOscrOSguEYvaMaqB2NAMBsgmJHbT/c6OgD6RCi3yzIk6nA2lAOftZOnYskUCvAaB/cJpHYdZwwFt/W7Tv6QHHviMxeC2PJHeiSOnfbJviYlAjE586fi+1bZl0GTx5acOe9sc2uut9n/P72JjAHLbWzimSQuDgnJXZZIXs3jZtc9TdSqrWYpetuHKs5ozcqBPJ7MRb7Ef7i0mEzM3D0rFyzbfJYLggPJ23UMrBgrZ6ufuAoAMHvHLJjHWnoMex2WnGWE+RJrjSys9DU6JbFaObvxxu6OrDNjaJcY513W2K6EcaFljVmVER6K4Gu17MCBA5nEYyK937R7pEYvKGcA8H/+z/8BsDLjIiIQZG2QUWYkM1jj5uAAIII/6aPhuHAAhI3lkQ8A4E3CuV9ejz/+8mrjnIs/VCeXAoBTjJU6rTYUVilyFvqY85lU4pYKApC4ITKIQMjStxEPoikQGHPXov8sFCgaK7G+Km2kZbpZmsl4kzPVX95OOotX9d9+wpOw+m9OxUmXnIDj/vpYAIAXxC5py41Jg0Lq6JAXqamOTFKL64tyVdhhLUn0clSYQylnW7cRhp5LuPKmOB4AkXLGPLlNGWMIFWmkJu/eDKZU0sircYCOqZzpU58BpN0ayzE58xQZWErVeoLg1+LyPECRJFWGpe3x66H8/v4hF31HluENePAgFx0AoEActYpIjL5YFHQptLGNKSSIGofjOSgfoUpw9S1Tl3kWnEgVAozZdDxEEAJz98QGFIuFdIgUcSk1yRhFSPD6XVBTROdNu7JGQM6pA6QLqZAfsuR4AEUw1GcQtVfMhVHW6KljyBxY3V+TJ5fT7y1ZLU+PMQDazzkrFWI12DHKPGsP1SB8EfUD9gsOQSxWtRYJ8xz45DV9OOGzmxCky2xJ/i9UBN90HWauk3AfbvnvlgnRaHWxrY81UN1ehaf2Z6gCYK5UOpkrVVA9v2++uZW9DEvOMkKeVvomeVizRk5C6FRGmC5z7BZMojNfCeF8ZY06tm4l1iZhbEfEFkqSs1LYDtW32MvkLKttdChypo+hdj2G3QIJ9T8yEm43vqkB6oZLQPNAEzVdzlwLl5zI1scaOHjdBHbtCDFRd7Br2pNKHEGW7yloi3/hMLhFwzJbvUXPqFod+pgLlmelT0RwDOcvoRJXglxtFU2OwI/jif47Hpc1AnEJ2FITEI1EYh0y1XzS+r4oSQPDQ+UhDJ0+BOYy9B8j1WCtnIkuzF/SIN45l9Er2YzJ79MqkOO2xr8cK/00D0+Ts3/9rvwy07Ze/8uc5KyhUJGPcL4RAYsBtemrMdc6EgKwTh5Z9BZNRIQv4LKllzWafYtNn5IjKxRJokBgRlWpavV13akDYA6D1+/AJYqO6RIJNGsCweTS7vlRT45xHuveN3P76MSaKYLvFB2wBDmT+2uQh2g2STordpgHdsiYuAD51KqcBQRvuCB7Rw1r//QQaiAeItwnOLjAssq9RSgQzoXxcYH5e85kqaV6bJxPfVW5wLgcnui3uQ226zkrFwGmj2kjZeR1+Vt0aeOAmm/Il0ju28VTraV+YItyxmTpt+soFa19PtKNimby5QKImcM29jRQe6QeqeX6HGNMVqIwz0FtZw1OSQ4Rp4AS+/FwgSVnGaFXhlB7ngchREclzxxK3U2Y5Ec7M7Z7fT7lTJfKma57y8FCyxrPPffc6Dk9bqDd+1YaC1XO/u7v/i6TeEz0Cjk71Dbq5qD1T15OWPenAv99VaoMRK0Ug1N8h2KpQZkui5qY63pRprp05SycDRDOhfiDYQsfqvEu5q0zmJb7oeYWwIoOCquUA5kiR7Fy1sRs01leozmlyq18WTLDIMtQmgd9jN84DQAQZgYigFJ//Heg9iUto9cDSCbjkSFIu7AN5QwAiurQ1v2BrqGcdWt+DoWicwKqyY0rY9PkrN3dO1xB5UzDVKn8qQCiIWJypg62QCtnfmdFcDHQJCRRpWAQ+jgmxNuFAXofu2XVp2PMq1oKOTMHRvsNSipngiTJ5oCH5DE0fJy8dzlFB46g6JguCIFGjTrlt4cE6TJKkwDrhSFjEY8bZg7EKVI5NVytnIkAoTLumPzd1KLjqT1UA7jsedPleKT+j0IBx5PJMo/6u5yICJnQSme/ImfBdCANlpYA/2CAuXsriXOV2jCHqJzZKGs0CWpfTdv/Lx31Nudne+WMGcpZ/LxTlIO04+HzalD3EheJmm3WBIIUkdGbTZfGOi7gTwayZNZjyqipdR8ud34fIBdkhJ+87hPJe6vePtF4cIfJ8tySEwWtFWE+Z8mZRQfkaQhikpBqtTovEVop5cyMoVartTqDLUA5W0lyNp9yNjAQO6IdddRReOITn4hnPOMZkW17Vv1UhzqGTjvtNADZlRCaSPcu9qpy5nmyJIVzjqAeLGtV//98ljAxA1z61fRKoy6jQVSKxRwWOabpv6GUpbo65nmNL7lElhUc+FMB9s0apKYNAWk8LM+dBwZGMHBcPwaOV8e2Cq1oKGdjFXdZPXAkAGGcGqLBI6WJeQxhhaMxLt8gjBIoMKBoGF1olWE+R8OFIK2cdSpvMl3bAKDo6hu9KiWarONJswcgqLUPaqmgkKL+qJbX9DZjDOAUl6M5rIUb+o2lJyEtPWedyJn+Upehsa8hS+VU74nenrqsUTS74EAKyIzYVIiQqhJWMTX2N6NVcsak6QtRTGhFU0RldEup2DWPoSBEshxRyOHqQhl0yLAZztoYnwROWSaOZx4j31AiDl505x9CPl88kz5Ew5Bd9YKISG6fSDlT5MgpJvtJvQGtnAUIuHJGXcKxzesCvM4RVnisnOmyxkCqaSIUsuwbcne2MwRhDkNTXcOFIATTIWbvWppztO51i1TuDoq52Wuqj5GkcqZmVmLpazLtyFk7glQqmn2UqgDbOI61cvaJ7TdjVdiM9u9i4bf57kYtdWKoP7n6DtdjcAoMxdVFMNeBaAgEUwGO/9/HAQB2l+U9pbrM9U+tRLv9bnJ/KSVVb58+nbK6DOUjyrKPW+3AyNlyrkslDhnCkrOMkKchiJnwVatVnHPOOQDaE6F0kt0tmOSHiFoIVh7K2UIdJE2iMTg4iJtuuglXXXXViimdnXCoY+hFL3oRgJUt2euEtOLaq+SMMRYtQOy9Zi9m7lz+qIiJSYH67viYlMkRJRuZGUtYRDNPveYA9YIiZ9V5atsOAeYCfC5E1dj1YaC/P/5QXpHbZ7JYSqzWMyZVD2/IAzFghAe4/4CDZZU1CpHI+HmD0NzflI5tZRfBRBC9TIwhrISo7aiBuMDA5niRKCprXKaVflo561jeFPXlKXKmLpNaVQSAD+2+Q5U1doecibQqlHjRKCNUrp+ALhejqBR11i2sqFujHjEQOSMq8w2nIFfzzeG1XDXtBL7ojnLGSfYymb1VpoimxzFIX5sITCXiiZ6z5ShnKXJmqp3EIc97X8ieKwDHruH49SW1OJ6iA+KEH7xVPlcgwrfuKqO6o4bqA/M4dnZAc8KXBhuJOKilF1IrZ0wpZ+6ACzK2U6LnjMuFkBbXvgWAeQy8LpKzAw1DEKfkoLSxnOzv6pAS+eoYoqZU4vSIhsWCNwREYBjZdCJnbWI65k1HR69rciaowwcsAO3IGW9zDREiPqa57o4NJTkjQVh1zggAefy8Ynxn289YCH51a5sYq6lKEBWHvoW7SiFnHoPjyoVBEKKxHgX1/pkDQVRGv1gQ1yXD6tgxlTNBuHW3F5VXl4oySsbUdajowFVl8XrRQVhyZtEJvaKcAcAf/vAHAO0T2Ouvv77luZWIoVpN3ogWYqWfl3I2OBgPgOzv75cXAcZWrEewEw51DGXRT9UJacU17dbYK+QMiIlkrVpHMLX8fdcMWcLVC6aDGjcSWTMLcVR5kcvQVORM1JdOzkQoP6vSiDOuQPecGVmYJhPkpLJYbT/uMvB+eVxPHBTLKmuUJV7xfy98IQ1GVII9dOpgpE4Jx5GJ84gH4RO8ovE7nDixXg7a9ZyRkGYM3Fgh50Y/DABoszSTfADyZ3Sr54wHhES2bCB2a1RmDrohX/Wcnfz+EwEA+wtlNNOr3otAWrhJn7JCjRiIlDMm7fO9QQ8jZ40klDyujnXud6fnjITRS9UmYB2TVhQ0mAOAYldU0RRR0ruknjNjm4Rpl0StEPlGiSpjKK6JZz46RVeWpjoMQm2jRlMaH4TVxV8jhTIR0nEQQZU1InF6p8mZ1+8CXETJs2soZ81AKYJLOJQcRc68EeM+zgARyJJP5jK4JScij8Iw30hDkzNe5yhtKHU6PQ4J3uCSLBvXonYlxImyRqWWb7poI8752tlgRYaCz9HHw66VNZa9zsdhw497zgbLat+GBKfggETSPbYoRNQPtlhc/I9tyhGrqYDU8SQi5Uw9zwC4TJZauiwqYy2qjXtwZwP13UuTzyZunET1frP9xYhTEF7yjeF4QcaRvdFMLV4NnTwIpmrR9fWAL+O6mBcsOcsIvWalD7QnQiuV2OukWZtZpMnZQqz0dcK/b98+7Nu3b9kxLbTnzCxrNBWhrJWzQzl+atJhlbP5jyNNJH3f74ry0YwUKgWdRAqAGW6NzOwdcJU9tBs728kV8KXFQ77sIzFLScKQWpShiJy5TqLsSTftAwANyuuQVw2WqZxRCzlDSIlNpV3kSM/wKruSaBr9eVOu3F/BdLisHq/AUAIaIWRyIYDZO2cxdctU/FojqZyZp5vu0Rv3SpIbdMmJ8OMPrMNMtcPG1m2LahdFg8NduWLNVFLkEuEjv+zH7rGl7bRDKWffuU2SDHNouFNy4A17KAx7su9M7baInDWpbSK8WBAnIEwqsdfe3dpz5vS5CYVa77xulTWaZWAhWBSPJGZqxd83SgJdJlVyHU4pVls9tbrPQpH8bxYB3uAqc1b7BNq9EYm6RmE47YmQ4Ay4gCuNE4CkcjbXlKVqtISVIhESSuuKSdMqiom9DMI03WnfcwYATXV/FTUO5gC0xMUZURdqhId6grG2KnWn2WvF1QUU18pjf23YVL2mSwoFddVxcM5RHB94usyBuGhlnc2AomO6pBaqdK8gGNC3Jb7f7iv2qRmQ3UEzZQiit5W+HniedPn1Br2YlDmIyvY9dcJXa+js5HgIUEDKxEU/YbwmgEbIEuMzAKOn25HnARAbAVGXRp5kCUvOMkKvDaEG2iew3RoamoZOmoeHhwF0Vs4WongAwGtf+9quxZR+nH7OJGemIpRXWWMnt0bTzTIre//0d2v0MjmLTEGCRldW9eXw6OSqbGQKopOmVNmXnFkl96UuARP+0g1BRIODMYZqM2UIIkSi8T9OGlMfYCS0NCwTEa8WLG+4acriWzQFhCr90uCmkkdyiKiem6UxXpT7yz+4vEUH37CIrvkq4RF6VT9+rdlMKmcmTnzPCQCAg4WyVM6WcPy0K0H6j1v78cM7im3eDcMQRFnVa3KmyZraVgUiPDLn4m2fWto+m6/nbN9Eq0oFh8EpOhg5S17TmcNUPw6BtOrh07IIdQSiyKpe408ujVmPvqu6HktYjzNH9eqUNVkUERlYWllj/P0hjLJf1RNHXDoNkkGoHcMr3jEcUiPDjEARuiX0DYmGQGFVIVbnGIt6Xs3DVyfvjgdACBQGPLhGD6w7GCtn9b6i7LVawm4jLlrmSREp9Qo6RBb1nKXLGmu7alGJeKBsHEVDNtAtVaWWMyfj45AxtF1UIcOlNV1qqcnZuqCxLId4bf5xzpFhZDQUtNnvTT/Zc1YfayCYCuQ8L8hzfvV5q6L3d+oPXVqMqXh0/6TaPq66Rpc2FDFy1jBYUV+7lcmNJmf15HV8MZAmN4iPwdTiJ2CUVytzrajH0WGRQ7ElZxaHRK+4NZpol8DWarWW57oRj46hEzlbiCGISc5uuOGGrsUELNwQxCQdvVbW6DjOihH8Q+FwVM6CUCpnS+07Kxm5tJncE0HNH0KirDFRRehKYwDmAlybJyyxBKw+E+KK3wLTPkv0nOmyRvN7o9Vhx0n25jiAvgOyIXkMFRsBxHIMQcLUduEky4vMCpVAx6NusEUH5U3lyEobAMYLipyNy2XnSqLcZeEIjBv0ZE39eFKLV0ZMWnguFwm/fWfy2PDUtunT84WWsJrfbrgzAOyb7lDWaPTKMI/BUc6DYABjBEcl2a7Kou7eteiQALRRzow4K0YleXT1cVTviV50cAAQYe4PcxAqUds5vvwBwgAgQiGPRRXjHQ8mPzMijB6LlETA6DkrmW6N6vctIaFtGLfHEHEZp56jRURw+5z4vHdZ8rw3iIsutXS4QH2OL7qEmDjhgX0MW5uD0TwzaOUsZdOqP1v2K8ptxApOtF28Aa2cBagKV5GZRYUjvydIfi8g9wGvG4tETnzep630eUMgrMkdE6oXwrpSzpbYv8TnQpTWF1HeZNyj2pU1CpMwJn98cZ0mZ03Vc7Y0aOWs7BFct/MiQcM3zzM1NHw6iFxHAaD/GHmP9UiWxHZrnmAz5Sd2z34H1z9gKL6euq04UjVzVM+ZJuWeupBUaki60iwCsoTZvKem7q9IGaaQGt3AmFTO9CVJj9DognNk1rDkLCMspqyx2257nVSUdkTowgsvbHmuG7bjOmnWDodLUc5MxagbxiULLWtM95xp9JohCNBdq/jFoFhMrvr3qpU+EG8jP/QBAvyppZ1v5kDRRPO8UoyYg4SZQ0LxVKu3zGFRCdhSreI/+V3gDd8bxsU/XYeKb/Rq6c8z749ayWNI3DjlqqNabRyR+7JU95dc1sibAs19jcRqN6myRvM36l4YYnKFe+SsYWz4k/WR0gEA066MJ5gNAZIz3ZYCc73iYMVR5U2qt8aIyVc38jOPFHjcxuQG0HGVRQhyGPzpxS+CdFrlHq92SGQi1xSgtL4YJfXS2CA2mtFDWU/ZsuiQEl+j0ckBzlUr49oXwZxnxRiTK9nqmL75IS8egLwMiECeU/pedvYbUuRM7UBvqIDhM4ai51lZ9niZPWd6hh5fwiXJdMPkjlEKrPu8BMkNY5ZcJc6zeFFEl4EVhUBlhi+6RDaYDvDU/1yHP/vyEHZOxPMDKHU8AwCpnkrBpdGHU9RGLvL1aM6ZCDHXZCiuLsApLiGxDqilNxMkDT2ixR+HRWSRg8FhQOWBCniNR3EBAC/ofiEOOEsbtEyCwBscxXXFuB+Ryf01e9cs/Mn42m+WNaYHYxfXynxjbdhQQ7EXHQoAYFaZbZQdgqfOm3ZKejMwTW5YROp1byAQHz8FIjRmOKrbWxfWl4K0kvfMr63F8/65L1HOzCBJuNvnorShlIjHVffganPpfcKanEWpKyVfW9Mn4okZ6jw0lTMNpktCl9mvnAcsOcsIC0katUKTJi7d+u402hGhb3/723jxi1+MD3zgA9FMr270MOkYdFlgmoAuxBDExELfNx8WWtY4MjISPWeW7/WacgbkZwqSLrU8HJSzZujLhGgpN30izBn3wqa6oZFaPSehbhLaSj99t2dxKYY2BiB/nllX8+AXt8ptf/dkEdN+/LtDLpOQWgDcPuZCiLgRnlwnkQwypYIQUdTM39fwI9e5xYJXQmkGYfacacc0Y7GI1eRx0SwWUF5finpfzIS2pjrQeZ3L9pol3mjNnrMDFRapKmbPDhAnJ0MDaIFeue4THOSwJRnKdFLODlY6KGc6bsYSiiJjDMSMFWu1c49ev7TMUV8CXaUa6Di3j1FSOVMfL1iynEgGJdUh3UdZEgKV+vJWrYPZEI1HGnJfifaLjTomb8hFcXW8UOQNuNI6XpOzhoC+NNy+XfZlLgZNg5w9Ui/EsWj1VUCVLMdExOy7MUv+9Kp+kQR29Q0vumyv9lC8U3ZN6i+Rx7IIkwoW1eXOFAUXPBBwlHKmEc054wFmGwyFkULSwGiBECEl5s8BkMSqKRCz0ljFJqVyEJeLM2ZcXK1+hbrnbClln8rxL7kwJnvOmgd9+Obwb4MwpgdjJ8oal3E4b3tY/nv8SBgZoYRhHNv0HGHHHsL9u5HoqWIek2XExogR87wnxhDMLv5a9OxR+e8HXxM/l1bONLQ7InPlGBJTMY+uA0yeiw4Rqg2g9nBtaddrVXUStUKb25wTnnBEYJRXy3sCc1VJvBOr1VHpsFXOLDphIYm1VpXm5uZW5LvTfUHtCM7mzZtxxRVX4MMf/nBEpLqpnEUlZSlCsxBDEBN6Wy0HC1XOTFXIJHG9rJzlYQpiopfdGiNDEN6UucwSyps++l/Jv6NZNcoIJLGSjtbGaKZKwOAwCD2wNxBYyp2/6MX/zU374nM8CGUi+5ofrMazPjuEL9xQSpRbpQ0ImCv7VbxV8njvbwRLXiEmQbIR3+w5C1KN+QCcitxwjYEi+o/ri274Zi7VZA44GMhXNuVLJWdqH3lCYHZS7fQ2KoMmZ8PJQ1jG26eVM9lDI5YwV6wTORuvtD+vdTkXQ5xE6ycYYvMU1yQKS4DeVSWjF+bXWwVO/AvCRe+LP1Ov6AumkiEvmfgyl0UOmyXiqC7TXDecCWRyr1bT220/0xDEhDfoQQQittJvCrgs/i3v+dzitpVvXFb/1y9WYUJXvepzXm9E3XPWopwZMWtyJjhe/PUR/OiuxVWDmKptdJoRk46olPrehhqcXnLhFmSSP/z4oSiGSDnjIWbqLFL2FwsKRasJBGNqHlxMWO85oMw+mO4NkscNc+Ohy0IRkcJDc3IhYin9r23+G9lzhmhG3eQtU2oO2jzKmSprXB80l9Vzds8u+e/Ja8JokSA0Ylz7p4QTXkm47k5jsLoriRlzlYIWEQ+tnAk4Q4XEQPSFQpdUnr/Fxx8fKw9uk5yZCyEROXMYGKPY4ZcxWQXCmKHmCdR8Bl7l4EuZvRg5s1LLyBMKCc3Q6DkjwJ/w40UiY99FZY2258wiDZ0sLoacVSpL66no9P36BDvvvPPwzGc+M3rtUESomyqM3g6aPKST9YUk1QDw/Oc/HwDw+Mc/ftkxmTHM13NmkliTVPaycpZ1WWMa5XIZ//AP/4DRUbk0101y1m5fpV9biCFIM/CVw9ribx4f+FLyYq9vaKSUISJ5U2HGaqMJ5sgGd8eNjSdoiYYgpQ4/lXO5in7jIzKx+N0ux1DyWsuEHE/2BxWVI+FA0496QxYLCgi8kTQ5IG28YXykW5EbrtlfTAzpTpRiMoa62p+8KpZEpgFJzlwS+OG9v8L/+cVvEdbCiES3zKsCUCywls9wig6IASUSygBi8dunEzkzh9Fyc+6ZMTzX7TNWztU4BK1w6Eb8Tp9/KOi1qoJhmPGD6+RzY+Px+3SSJiCT6UQZEQOY58TkTHBUl6mcAcpQguT51W5WlD7P9HwjDW/IhT/uRwmi8AUco1b3O1cvLo5mI/lbduxX567u81IKQkflzLgO6LJBbT3+7TuSi6eHgqgZlR/6Jzmy1xMpQxBNzlB2Vb8ZgzfiRceYZyhn2w86UenfYiF7zljCCVMqY1LB0jHO1uMSNNKD1Rmk6qaOHVLy1dAfDoJACGYCVR65cJBIKohxoBRdb4OpEMFMkBhCne4506V7m/ya7Dlb4iF9YEr+u7EcQqcV5u3MLHLSITCmShsLTC6E6OfVee+RAGdqvy8SusQ63FtHUX1hwpE0YbIZK1VgsRqZWHAwTEFqAQOvhEmnzkNA719tqgU9lM5gZ4IDzYAllLPIDVkrZ/olawhi0Q4//elP4XkevvWtbx3SaQ/ovnL2zne+E4ODg3jkkUcAyMT9e9/7XvR6luQsrd51Us4OVa74zne+E8DyZ53ddtttbb/fRLtSSzPurM03DmWlD/SOcgYAH/rQh/DBD34QQPfI2Q9+8AN4nofvf//7bV9flHIWNuXNewkJdn/S/yRKiKNZTCop0Iv0LeRMESFWcsD1/gzEklw2ix1OmTBEomdsoKCSbjBph5wiZ8xjqO2qwVVJ46DvQzQWz4SICGE1hGjyaHUagJpzliJnqtzKLxfAzOM6dZksqOtHbWttyY3vYUD4q733RX/vf7AZDQw3Y9LjD8ykgwRh9q5Z6a6p5sAVmkFXyZn2OwhCwvGvJDz3PRR9NwDAiY0tAHUMAZE7YTlVjrhYcPU9RW1UIBhOObL19+kkjZw4GYticuR2ayr5o0giURK5VIi6iOYZtSNncT9MMp7i2iL6j+0DBSJK1ArGPhtuU7o6H/yUaquTaVLrKiTUuW7OHUuQVwZe5+B1nihrBICT1ix8x8l5avG5+epvyB/CHAYKVHm0cQ45DfnZ1O8pR1Q1sJcle5kGeYiDFYbxWnu7+UNB+AJv/P4gnvzRPtz/qR3SbMlhSoWjaBtAnfcnbpFmL0y5WJpktt9kCWo789piyRnaEilSpZ+NfQ3wWohwLozIaDu3xr7NZRADNvt1UCiWxM2ICDOqY2XQ4yio87aTMU1MhtQ28aQBh/7u2Lqe8IsHSksyTNHXCtbk0aJMM4xzDVNFSyhn5vZxY2McraIXhEDNVwPAF1E6PHXLNMJKCCJCMBWocyRJhikUaAqW6MljbkxWE0ZXahuJ5hJWGnKGJWcriIsvvjj6dyGqhzae6BY5u+yyy9BoNPCVr3wFgDyITXOL+WIBumsukVbO0oRmocqZ7mVq5yq5GNx6661tv99Eu1JLM+5uxbJQLITg5zmIuh26Pbvvz/7szwAAL33pS9u+vhjlzA8DeUNbwp22L7XIHd3EhLxJlDaU5EBndWPyUioMcxncsgu36IDUayxYWiw6mU4jCClhejDgyOMnZAyuQ+g/Jlm3xzwHxBGt6A75PvgSavUbe5qojzWkRb1xYxYByTlnJhHSlyBlzxw9nzrGSypzGvvIXrmQugRS5IfAC6Yeif6uNJ3Idjwx0yk19BmQ3xfd6PuUm2WTRyrpYtDJECTk8vO3PQQ8vB/4xS3JeJjD4BpGKcxLWevzZSpnKi7NtzgBA6XW36aTtI1DcnEhAVXm2FS/pSQ4qsu8PApl6sAcua/mJWep88wb8DB8xjAgYjt9Zhw7qwaxKPip747dUSkiIMyNe00dDy3KGXMZ6o/Uo96qorqur+tbOPGQfTzxb9UOgsyVDqJkuDWSIDiKyDllJxrQq3tMAUmyi+uLcEE4tlnBTN0BBYTm/sXdR8gX+Mm9JfzZffdj6poJbPvQfXE/nuFy2D8pD4r6hgFpUKLmrzGXRWeiWX4qAhHt/8VANNtsU6UKEic5z82Xc+a4Ye9fSi14OSUH/nAJLghicmn31qYvz81iASh7gKOVqgahsbc1x3JSZMhxWFJ51USIBPZVnCVVOehrhROIWDkTLCLDjTbkDA5gDn+UMzLj4wiQal4t0G62C4uLBMUjHARQGCnEw8zVRxCX9w+fp3ry1GKDN+hFIz0ARD16VjmzSMBMEPPsOdMJu+M4iZgOlcCvZFljJ3J2KOWsW4RIG5KceOKJie83caiyRm0UMjMzs6xYForDqaxRY6X68jodJ4syBPEbCKbDRbfovPFjAhOpXR4Zgghpj19aL8mZ/tlpMsdcBqfswOl3ES3TBqJFzVoInGp75TbkwJxRhqWT0pA58Ny45CN6vcDgFBnKw9KUfZCH4A2OYGZxyvCNdws859+HcNe4l0gmhK9/n7kMqr7bcLGTT8z/HUshZ2nzB1ELY9WsnXJmbB7SiSMRRL889rxGEJXaLQadyJMWGf3064bDZsIQQM8VU/0fjGTZpr9EIV9fAgtMK2fJkisNvWLttjmG4DA4noOmkh1LJPDpHy+sj7htTHUOUecQPqnyU4rsyBNfq/PGNqWobr+bMFNoVuP91Ul17oRmKsmr6bmCKgclAaUUyaeZ0SMkA1QLM31uVNZYUHW0xOc3uyERkyVqY1mvP1/4JBeJ1Bt4jYMBqDkuSiUGRw+/VgmtJmgjZw4DAM6uTKDJpQI3c8fsogiR3xQY4AH+eGZfHDcnSfyNQ6VPZf3B2r5o4aO5rxH34gIYO/eo6P2yZ2hxs854jWNuW6W1FJKp/l5OCCshRCg/X6ugnDktniYAgEG50FidXlpvsFbNRvrlb9GXfS6obV9WpAzpvkVtDAJJqplRQqj312Khr0UuicjtNTRGoMyNxxeTaAHEYVFfYBSffmz2nAVq7McCwxK+gGhy8KYAkRpyrUv+1ebWIx6aITPIolTO+o/tQ2FVQVWsJMmiJWcWCZgJ5EJK0lai5wxIkjMThyoN7KZyttCyxoUqZ8sta9Tfr40rDlXW+N73vhcAcMkll0Sv65lts7OzLf/tSmAh5Exvn247fraDjkP3lbXDSpGztHW/xqKs9AMf5SPKixqU6QeEr/y03fO69wRxou+wKLltS86KDtyyi7LqI+IBYfaeOczcvbjjqdjh7heGDLO1+Lfp3jrepuEdkCuVTsFBucjQUHffYCbAzB2Li+eFnyjh93sKeN21G1HbGS+iUCDLGhN5jTa70DNqOuCXqzYDAAbOHTB6WBYHPwB+N7Qu+pvXuFT3FDmbvnVakmujrNGfkEkkcYpKr4Qqayw2AgBswcmHRidypvt00uQqVH+7Xqq/y2OgpkDtgWpkE97Pw4Qr5WKglTOtWAhi0XebiHo9Uu6R8jkZl6+s6EqC439uWzo5m7x5CvXdDRRGPFl616askRkHlOO1fpfeNpqcbSzHP6qFCB8CzdT20MoZRSRfLs5Eg3KVGh3F6kjTBGYQ25K6ZoVClnV1Aq9yzNwxG/depUiTUGWBFIpEr1U4J3/krFtEqQAMn2qMGnAQXa+GFTk7szoF7U0UVsMF93nN3jOHiTmGodTsBOLq2mMalKhj3S05UjkrOHJ7OIaCvrqIvQV5f6ZAlRIugihO3Tothxmra0V9dx37frJfDp5vEkQo569RKJUzrXZ2Op09VfrZnFWl2BOLG8GiydlwPwAWr8mFodwP6ZmSWjgkBjmAXhmDOB5TFRpxWaPPlzZqQF+LCgWGflVZMVtnmLlLXvOnt8d5VqRUuUkFDw6ijZbuOfP63AXzWOELSZKVSh6DInYmmgKMSXUvQV6N+wdzGCgymomNgA43WHK2QgjDEPv374/+XmhizRhDrVab1/RgsdDJaLpU6FAEp1vKmbYXNz9zqWWNmkzdd999+NSnPrXkmLRypj/vUGWNH//4x1Gr1XD22WdHr3dbOZucnMRb3vKWlpJLjYUcQzqmLAjjmjVrAAA/+clPOr4na3K2YOXs2I/gs3e9APeMu4tqfO+kSgSaLJg28SxWa1IzuuUw4aIDp+zgyLVqxbJJEL6Av4hSovt3C/znHf1tXws4MGsIzDpJDJjTlpwV1xbASg5KRYqUj2BK9lWF1YXvv6pSE6bqDqoPGosEDDIBMre3iom5KW6W4mm/Hd4gn9ZVLkvoO5vbl9x5ohZGQ7GJCMFcKBUyTc7A0NBKhSq9AgCh5sCtm5iTRHGx86k6KWeqFDBNGOqqtHSgQIk7NvMY3AEX3nAhIkn9gmOpLbCaHBZKLO4/aVPWarpC9m1OHthu0YFbdiIDl36xvPNeNAR4naO0sQSmXP/S5Mw0KmjH75nDUFxTiEuuQoEfvWoSQOfzGVDlrsYiwDd/QfjAd5OrLDUVi2gKgAHFNUU56FkvxqZ6O5nLZI8gY3EPnLoA8fAQYyKYVBJn7pxF5f6q8rGLUQ/lbxUByfNMvRwoMjHjFVAuxuYWMkAnImflI+TzI9xHM5R9Posp+27saeBglUUKTASSytml1wziynvVCazOmYKnFj48Fl0TAQZe4yi6QNPRbntCufYt/Fwj5Q6r47/zHXfjoS8+jOnfTYH7Am7ZkblJKK+7muRzptwIUygNq2tihQMCqO5Y3ALojFpzH+4HQIiuwaEAwFhL75npRui4ukdQHkMkKEGEmhxLqrrQ31ksMWw+Wu6b8dnYbMZUqV3jPINBzpjT2gdXIIF6wJRBzfw32MbeBuq765i9cw4iEJIwC+Cjvyzj27cVQMSie3Rjbx0QBD+M1XKpnDkxoTOUM+1Cyme7l09nBUvOVgj/9V9Jr+2FJNaO40SzzrqpnnVSzg5VGtgtcqYTZsdxOjocLtQQxJyf9e53v7vjDLdDYSHK2dTUFIB4/lzaHr7b5Ozd7343vvSlL3VUohZDzrIotdTxzEeEVoqcdRpCvmByNvRE3D9zHCbqDhZTotKpX6hprqAruANulPD29bUagjhlB16fi6PWUfThxAl8Eat8z3tP59d4mJxPpW+S0o2s9f3FdSUU1xRQKLDI0MFbXZSEcWLhGb+Z2JjJJoUEd9CLyqpkMEo5S5V/McbwrOPi606o7rwUqO6wJZz2tYpIJI68zuM+DZKlL6QcLgG5IusUpJucLL2SyZx/ymoAwMZxeY51q6xR5zAm+eCcoAsXBsrJBTbmMRRWF+ANepE6NMDDpRuChLq6g0UzmNqRF8csbyonD6Q156/Bqj9ahSedIH9M3zIWGXWiJnw5lwtqeHEjJVhEpjuMtZB6jcLaYlRGSHWBIcVP5lPOKvdXMXHjZPT3qz9M0mbegC5rrDxYBQiREq93k+PJweERlLGDVtAAqS4CaiFnHqKv+6R0Ep5WWmo+A1xAKGfLSDmbjZWzYuqyyZyY8ERlckJEJbYU4pCLV7wpEFZC8CrH1GxMNuO4CT+/v4Av3daPv/yGavJTsXsF2a+k969TdkCCUN1ZRckjBEyTM1XWuojDiUJAcNFyeZeKl66TkwZOwufRcSTA8IpzWg/88rC8l1FVGlYsxpyksbeBSk0tsqhjT5MzzuV+SJMzrVQRJ+mmqeZ3OYW0cvb/Z++74y0pqvy/VZ1uevnNm8gkZoYBhjwgCAjmgGHVZdU1YF50VXTd1eXnqrursLqGNcc1oaKuOSu4rgFBZYgDzBAmMvHlcGOHqt8fVdVd3bdv335vZhR2OZ8PzLv39u1b3V1dfb7ne873MLR8mXI9T1EQ9TwzKcdwRfzeFLdg9ohjTRUEISSWPixqvqJgBCAaYzeoPF9dTlP1/hrqexriWgVi/u6YovjA/xTwum+Vxb7lfAlqAWjBQM3TmDMjrhqrmLPZu2Zh9EhwNvMIOHvY2S9/+Uu8+c1vxq9//eujut+DBw/GXudxrIGjl9qoR5iS4Ew94Ls5zEcrrVGxVI7jxMDZ9u3b8YlPfAKMsXkLgihbKMPYjTnjnOOuu+4CAJx00kmp+zjaQOi+++7L/DzPHFKpln8KcKaD7k72UGTOCoUCwMT1dwMyP3DW4TDcIKo9UXvztYhfMSHxTSjBwDkDICaBI9NlzEBEeufTk2Xnwc6f+X4U+VzkNmDfPCre78CcGQ5F74k9IISgJTdoNYWDTOaRmaZnvDCNeWEuR2l1EeW1mkSer9K/SCxlDwA+8dQZfPPSSVg0ctK4x0EwfxEOQDjihv69eiDAHhMPf+YzMI9HaXKECEAmGRRqSDahLNUalWrbfNMaOyxZCsjrfcFcH2hKPzGpEEoIwfCFQzCKVGPOvIWDMyViQSLHsZmYi+sGfPzLxfLZlBAoAEQKodVv4eITxEEWmQ/HXNj14h4H96L+U4QA/pTXxpzFIvodwBl1aJjW6E8FYZPhu3cBt92XPjbWilpBJIGQsqoKyvhx8Zswba9oxM4RIQTUkEBEYz4A4aRnt4ngYaAgaARgiU7JdVdcD3fKE/NYPecVc2ZYbUIXRM7pWS2V2uYMv90pGmyzgKMbdVa7r4rp22bAAg5jUSFUVg2NoQ3UKnbatgDOhbNPDSKY2ICDGBS2weHKIBH3RDrbfBQJOePgLseBOYrP3Kg1Ju+zwhRU1dRcBWkCEDxho4+nndQOzmzp6DueD/AoXTSPVR+ooVUTY7ekgJOS6/eZYFKTHV2UrAUPOKxBC1QCEGKKIBENwT2DG4jPgvo8wZnq/Ug4hsviuxNNA8zj8GZ9NKrR/qJ05kStKQn/FwP4TVABlLoE0MNrysTfP72V4AXfHYydCQU6WYuhyQlqHkWBKIE0lRYfHxIxCUxZJ/hwBGfzLIf932e//OUv8cEPfhDFYhEXXXTRUdtvkhmaDzg7ePDgEYuC6CmLXIt4AALg5KlJOlrMmfq+bdsxcHbiiScCECqVeZmzJHsVBEFHFiXLujFnMzMzmJiYQLlcxvLly1P3cbTBWTdJ/uR1/FOMKcvyAKGHIjgrl8sAE3PSZfMrMu/Wo4ozHj5Uq62oF0tSchwQYMg3COyK6LxkBUJ2mMiakSRY0S2oByFb0nmsHL4r9vGpB25EgetqjR2+JKP+rjx/rZaIZCYlyrPMpJIF4jzOnLmsnd1QLFVSOAFApQhcfCpB4Qc86gXnS0pgAcxZ0wP6tag+qwextC3ucbBGFEEnNOr9BvCwfw6RcvamH8w71QrIEgQRx1jTYmHj01EaqG2nzwdi0bD/WYkFR9znjFIuHUcSi5wDwOPXtFCabGAOmlBBipnSkS2yAC2foDEToNQ/P3eDMw6mLYmcA63RFurF+PnWVe06oTNqkbCBtzfqwR6M9nHmKzn4b9q/RyhCcDadiJUScHAQkboFRLWLynRGOLlfqUyqHNyCRGReF+ZMCI7wSGWwGD+fdRegJpVgUGOI62JC1A0zlTkDh2x0LN6zOMOHflPEm8+YbWsz0XFogUiyDEBgJpkzzmEmd6LSGi3BuhCDgJjinHAmGUcDaITMGRPM6TxEL0S7AYYX/XwYB6cIviXfpwWVykmiwEwzyio4fXmQOq1tmdZYdH2Am/DrDEGLwUgqlqaNJeDwVS8+cVLizBlJYc7UH0ym50nmjFgErMFh9YmL2e+7cH0RCGSNAOjNf5+5LXGf2ybBkGy1MtkU55m1AjS1HoV6EITEhICik6U3xq67as3OHgPzAWrLc+RxPP9L8f4WTUbQo5Q0GwwTLXEd+gtqPFE9XjQQAdhUWqP/MARn/+eZs02bNgFAyJIcLVsoODtacvo6+EoyHCpNr5sdLXDWiTlT9pOf/AR//OMfAXRnzpLnb6FOfzfmTB1zuVzuCIaOtiCIGlMn+1OmNd57770dmbw//OEPGB0dDa9hFjh+KKY1btiwAeASnPnxmshu1vYAlZ68q6LmDFAPq9mmlnrR6XlJAFsyZ1YQCOlnzrvWMU3dMt1eB8Y5XjC6A4+RSmk6c1bQHCal1pg6HPm+J8+fV2fzLqZWToedcNLS6mlU1NS20OZXE5OgvK4swJ7GnAHzq/PigXDSWl6SOfNDuX/ORBqdX/MjZ58IJ4S7HO6kByU9TgqqdklcK9aY3/np1NcokFF8HZzt29YK5xDtIFwjahe1tMYF+iGKtaEkktNPCmD0OByHfywY2Nr9tUThfmSmdBAr0jObnlsAcybPRzhHBiwEDYZGIpGjW80ZIECLPSifPWM+7DxMMCVgEmSp5sHKegrqvpdj9aMehZxzGKoHWaH9h4gp0rC8WRkglCeelq2YGmfSBDCTLB3nYIkbZueEgdv3G5KtQOjdKUbPJ7SNOYNUa6QGiTnWADA6E/1upqlaUoigTDKtEQywEuBMMWemAfg1BmJSUTdkEFEHalGYhMNV4MwTTbWb+5r504glONs5a2HY1yaNTA8NhSxYtDYxRE3Yk+bIOV3wfRCHgppAayynbxRwVPeKbQ3CAUpiNWecd05rBAWMggHVbFmkNXKY/WI+9wUumr6Y+/MRBXEn3FA8yDIRzg03ICKQZhA0NCbOCK8riavGEsCddEW7C10QxEU4v7KMB/LeYcBUo/0GrnokVFsMGgEmmuI3+hxxwghFe7N3mfVAHFHLyBuiHcfDyf7PM2cnn3wyAGDbtm1Hdb9HwpwBRw7O9Hoy5RjPF5wd7bRGnTnTnfVvfOMb4d/dwFnSFprWmGTOkvvJAzz+1MzZfNIajwQwMsawcePG8G8dnN5yyy0499xzUSgU/qzgrBtzlnWONm3aBLAtAIBWIAWntRqNNGOyuLzVim9UtoG5FuD6MkqoNVudbZJEVL/dCCUolAjmCIHFxQPErJhdmSHuRilXytY3Z/GisZ0AgN/0Lobb5G3MByCYM7ODA2I4BsAjcOZ6QOCyeamkCbU/EtbSKEsVO5COlm23e9bEFMpkJgU8xZx58uzOw9ev3l9Da6wFN7DjUf1GAOYzKfZBwVxZR6JL15sE3owHo2SKNziAsJmxcEaaoy04i52UX063TCl9jlid4IEHmjGVtDSjFomYs8DH2ELBGdPSGlXNWSKtsUfre9YadTuOyRkW56Mg78fpWY5l8x0Q50AQpfmq2pJ6UhBEzyjoxDYTwBoUa0Yw6eeU0Be/P/7bCRwq9ENfICoOMNuMUlS5HzGcQlwCaBGaypj3n9GHqT9OwVQKm1I0hRld5NAlcwYmAgp+YsG67KviuX7DS5pY3ReE6zYLW2gQOEnVWCr7i5ntAiXbxwxcsNjrfq9RIoA95/AZ2gRBOOOgWsSA80iwgUjVSaNkgBapcKQDgDpEgDNNEIS5DH5VsnQ5FHa5BrqGvGjShDWksoZR7R8QMvqWAbhTHqx+M/bsU2mNlcCDGxDYlOZWsmQB4FalwJhk4SMpfQDgSD4ibaKeHSIAQwwqAkYmRX1XHeUTyuAWQdELwJty8eiyTgeNADO3z2LwvAHM3jMHj/WL37IILBYBbOaJgFWjrjFn6poBYf2mOnfOiAN33A0BksUZaq6svcwAjJxz0fsyELXE47X2+6XqGeF9wVyG0Zq4DgNOfF1IPmOpSUAYgdlrwpv04E0fXR/kWNv/eeZMKc4dbfn6pDN6rGvOOOfYuXNn+Dt6zZsai1po9EbUWaaYsyM9N2lpjZ1Yom5pjUk7WsxZcj950iyPNjjrdizzkdI/kj5wOuuaZE3/8Ic/ABCA/U8tCKJH4DoBwjxjWr9+PZYvWwRANLPkyunuYN6sh8mbpjB1yzRmd8UVTivyAdEKwRkQMWdRylKniDixCOxC1BeqtKokUum6RIeZx9tSfFY1o+u2yGvCa3E0msCJ9enYdgE6pzXSIgWxCHzpOVSrHKTfnlfqXmfmTDELwKSS+FdqljbaWBhiEMAgoDpz5suas3mARdYUdUutgMSZs4Yv1QBFGin3GbzZBHNmiUaqVr8pLitH2HjZ8gPAIGFKVF7rLKUv5uH4dDTGsQlNgCNNxQWC3VPzq8T8Nicvr+nMmfqpJLivmNGxFlcVO4KhwfMHAIj5TzhHrd79erkTLqa3TIevQ3n62E8QNJNS+uqPDOYMXAj0AEIB0jHzzR8eiHHUa/HtK7Z4HV5LjrCpu2JS69SElbIMKXEHoyzWRsWcBZxk15tyhAIW3OdivqTYPaNmbP1QzFlACAZL8f0HrQD1XfXwXgMQ1oxtHzMFE9KNOKMklMoPGGlnznh87k7USMicWQYHdSisXhNm2QyVCImlgjKKMWcwe00E9SC3KqESUAGAIV+bNPL8gQixFnvYDrMDAiLEcJoHGm33tbpePYGHltcdeITj4AI0uS2V1ijAcNiyQvbFUzVntsHxqpPnsH4w8tuILZkhGTAiFgF8gMiaKqvhAoiY3k4WNAMErQDerFThVYIgFg/ZZDcgYWsBL02tMVFzZvaasAYseDN+eM4szjBZJ6L9X5dUXdW7DIxjptAe5Jr1RABBrQf3j4uBLqnIYyWiDi9Wc0bF2s0ZhyUZT29qfq0P/tz2fx6cHaumvZ3AWVa9ELBw5uztb387jj/+eLzhDW/AXXfdhfPOOy/87EjTGt/+9rfPayxJS0tr1NsM6PanYs66pTU+XJkzdTxH0gdOB2fJ2sTk+bAsK3NOK3DW7djy2Bvf+MaO41CWJ63Rsiw86xlPBiAeRHkEJgLp4Ccd65Jy0gL5EFZNswDMtggGfckaD6czfVavhZ6lTigZjQAAIV3BRygTrdliL7rmK1s1NKsBajMB3rwvnrKdmdZIhDy7Lzf4j+ssPPaaodw1XpxzmNLpSDJnLfngfs8vCtjw7j58704rYs4cpKY1UlM4SwqcTU3LuqL51pwFoheQpbc6qPswCgacEUfKaXME1SASBOGAWTbBXBHZF2mNon7QI0RIOTOezghmWBZzxhnH6HT03kSdhA9pktJgGRCOkhIEKbOFpzUGGnOmmNWkWmOPzcKUxeNesryjUIzhGCFgLLAA1Ryq4+6kB6+qnRwGGD0mek6Igokc7X3OdBW5juw3B8ySZGFaHFaHc5n8DmeCPUuqOqqgjNuSbSY05Uql4tcwDBgdGB5CCUxVwySZswBCNbDTWqTqzTiXoiAdpl3AVJBIfk/eYwEIFvXE9y36i4manUhpT3z53glTik+k/078RwXzIZiz9oHRocjp3nh1X1jnS1pBKNYy/Jgh8R4RaaiGntbocphlU6g5ziOtUQG5YS/y71QghlACZ5EDq98KQXEA0UaCyBo8vx6E97dSMKwEvgjG0Xy9xWr318SzQ4kjyZTBsM8ZI6KeUopvjJQZrjx9Co4UDuFU1hLK7YlDw/FRWXfm1GXadZfADCEECDimb5sBGA/XCtuMFFp9pgFbra5Zb/pMtaiDPWijsr4CwyFhWuMA9eEzgpkWzazp5uoaMQG+JhrtC8qcS0XasLzu20fFNst7o7RGUY+nozNxzjjj4XrlTR25D/KntP/z4Eyl7h1pXVXSks6oYjKSghZJU4CoW/1R0j72sY8BAD7+8Y/ji1/8YuyzhTJn559/PgBgZGRkXmNJWlpaY6e0uz8Vc9ZNEOTPwZwdjZqzPwc4yzJ1jlRbgiOxj3zkI+Hfna5LXtVPR2IlNxB9iIJqxhOEyWh4wJEUC1tUFg+M6SYVEVkGiK6hwFyTYEBGbDuBMwAoVGgoXc/cfAqATGuuqkyPWA97TbRqDI0Gh514OvqEdARngKhv4EbkqO2eMbtGZKOBRcxZgSkGQaZINsV4P/A/Ys29+vpCGEEv2KQN5BNDOLwlk8OXn4kC9fkxZ5yJPkstHzC0E0uaAax+C2bJEOc9YGAeA1VR/V4ThWUFAByFJQUB1BoBDIKQ6eQ+z05FS7EkeCpIFodxgumtczg0Gu1vska6pjVa/VaYZlSSNWcLUUfUmbNIrTG+zdCIGY7DrJiZojU0FCnxUWvkGI/mTAOIiesoIwAaiX3pNWedwJlRMkRqKgDeYrBzeD4cAoxzP5q7ykJw5gPuuAvwSB1RgbM6NdFpGSIGCcdTCmRaIyfgIG1Bl9iAWJSW10m40A8Qm5N6zdlIX2LN6LOkGIdQSw1AYACgnKFmWqAWuqc0E8EwEqTXnHGfw03MeVW/VCxJUEijfcGkIDaBRRCqNYZZAhy5wJnapndTL3oLPJ7WyEQDavWbhBIwOcBApnwTSkSfw/0N1HcL302JS1Q05izPvd/YL+rkfAkAKRPAUM2NgAOcMbRkTZRBOHr0RuGERMwmF70EqUw/NxQ4a7phA/JMU3Vpvkij5BDBScMksCUYdAMCMJFNoF/6UNzKAIxECw1qE1DHCHvlnegK/26iQbsyZ1BqmQFHzWu/gSebNKwNBgemZV1ar6MUjMSY4scp2UUWgWr3kbTGh5cdLebs6quvxvHHH4+JiQkA7c6+Sg1UzFgnW2gamM78fOADH4h9lqw5my84y6PsmGVpaY2dwMOfgjn7m7/5G3z5y18G0Bmc5WHOjrYgSF7mLIupOtrgLMmaJkFRN3A2MDAAwzAwPT0974BDlnWaJ7nBmRy26wu1qJk7O19DHogUQh5EjYKVLe0T12SiQSLxArmqVqscfYEHRgBroPN5smwCVzr7rNW92aoQMEFbnx09Yr3Ib6LlAbVa+358QpGVXU1tiiaP15+wnEFHzjiUQJ0ChVVDBmTm4op2PouEAYopzNnwhUMwCgb6B2iY3mTKBk5Bk+UGICIdhsNl7Q1y/ZoYI3OZSC1qBrBlro/Ra8EoCDloe8ACtQiaoy3AY2iGYPrImbNvvLQaMlXNaR+j09GJmGrQrqIy9lDUl6jEfHjB/FMtgUiQgGiCIEnmrLcUOb7EopngzChENVXVap70L8RT1rQU4bFfjof3aCMBlGJ1nR3WRnvIRmGJeNazFs/XGsIXDiNnHPWp+EVT4Mzz20GzqkNqUCNDeIeENWcrS+Ik+0yoQHacT5KYZy0FztKP9fX/PYDn/3govNdU/zpGCQYSSTM9GyuCeS0LZ9+X19NmDAGl4Dw75RuQpZiqgXMaOGO8bd1Uy49TMUTfN3XdCGDIQIOht9CQ54QjHzhjnlTZAAQ409IaWx4kiCHhYJSUPpM9IIkh9DjDFEIIFh2IwBkocin9Mk8AHV+1DQkYiEXCliMBE/vxpfiGQeRcVqCGCmBGpFojKIFREummSrGx2PQASrr3XpP3GPMiNtiign1SZJgXyHo9n8XmmEq/JTZt629I5XvFNcL/OK4lfIixmqijnL41PYDNWVQbyAKglTKnJxpUqJNKEZewN5setKIkfuvL1Evmc5i9UgjoEebs4WWmKYo+gyBYcIocALztbW/Dzp078YlPfAJAu6Ot0hSPFTjLclSSaY3vf//7sXTp0nCsnUylPx4pOEtLa+wEhufLnC3kmn3mM58J/1Y1WgthzkqlEgzDQKPROCppe3ml9P+UzNk111wT+2y+4IxSikWLRH3X+Pj4gseUtt80my84awUErBVkRvdU41fOOWrj8WukmLPxunBuWMBDB7Ep2TjfNjML2B0LYVpjqIyY5VvLdLrmaJzt37QoGtsir4mWC/iO2Q5IMgRBAMF4HG6J66zqxqo5++dwJpwqyhmePbEHADBmCabMYgwt7TZzAwIqGbmCg46OdV8FIXMmHD+Oxr4GmgfyBdRU3ZCoORO/15JOXyAVL5nLQAsGvBkhs1CjJgxb1DIQSzhiLADMkgHCORphRF9rZJ3TdHB24rCHk9wZ/N2+u9Dvt+BzYFa7daebJJL271AoSAgJmdly4MMNyIKUydS4TMpDUJFUa6zYEWObpSwIIBQpKQZBPnAmW0gAomkvlz22mgeb2PnhXdj+9nsBtAuCvO8psgQgq+YMEZPHWxwgwNnLxHNpqC99eyaBGQ84qqPxwFJFNbH2pCPNeejrx5izDqeImASGZGKMlgwQSDDaSS5enRu/5rczZ5xjY30aA5IhuulQIazrVDExw5RNn5PjKBkwbJG+qMCQxRm8QAGv9GMIf1r1X2MCMFqJL3Cft7HFKkWuUKKy75scj6wfIpTAP9yMqTWKs5OTOfN4WA9ZtjmGtLTGWl0FASJQz0O1RiFEAoOIHo2ayAwtUgSEoMAZmnUe1dp1G4srgIVyMUxHCMWEfc64SGNXfdBUWnjUblEEE/pP74NZMeGM2KCOCNkUB8Q67TRcoZo47sGb6exHqDRC7jH4qseZZApj4IwD3AuzzgEAS13BIDqL7DahG1oQ4MyqxNngmZYAVt5chzHJOjIFYJtBOjgLmiysOVP13aZ2/ZJIhhhSUZIxLH7aCFZ95DgsfvKijufloWj/58EZIeSopjYqBzvp7Ctw1o21Ohbqdsm0xuOPPx779+/Ha17zmszv2bYN0zTh+/4RsR56WqM6viNhztatWxf+faTnSQHQJDBSr7PAGSHkqKQ2/uIXv8CKFSswPT3dcRvP8/CKV7wCQD5wtmXLFuzfv39B48kC48nznafH3OLFiwEgZJWPhh0pc2ZLJ8UNpGOeoqqmTDgekHUD8YfxysOTOLM6jvEGxW/uAJ7zQRv758S+VCoUM2km22k7JEyTC1pMKGptzWBjpV8RJOodVlQiD2jYa4kGxgEJgY0yn1CYWYyHY8ScNACYqeao0QGE8hoFnjh1ABfMCsn1P1aGAQAOD2IPez9AmEJYLHR2rAU405gzLpypvMIACB/qUbR12hRgRjWS7TmxB/agBV8WjdcME4Yl0r2oZIi4y2CUDRDGtTTUdmGWbqZA0N88leH6F07ivrduw0VTh/Di0R3gFo2xVd+9vxQxZxkA3x4RaKEvcNEKMP+aPCDsaVQwBcAG2pmzgsXDtDvaQaBEmaqDKzIfr/pCAT+5IXtQTNWeBBzTt86gNS5EDtyJ+LNHl9JfMxjgMUvFc5s1WeeaMyBkqlhLKNB+/imTAICgA7hWaVQ84LFmvIAmCBJIlkUjYgIpCNIwTHR6fBCDwOwTHxp1D4QrJozDm+7gyHLAGjDhDNtSEES8/Yba/fjxPb/AB3bdjH/cd2fb19TxEYO2i+6YBEbBAC0agl1OgDPkUACEZPOYJwQmkk2oeZAAZ5yH4hKFkmCEdeZM1Q9ZFompNYqv8lz3vWDO5PEzIeKhrNaQzbXDoAdBeZ3wywIiwBmhBI29dXASjY0QgoalUuRYmM6ZOQ6XiXo27RwoIRB1+zAZbGvJYF64NLPovicGCdlxs2zC6rXgz/koD0sw1PLQCGRtdFagkYlz4874+NZWuQYyAW5Uc2xPKhgzl4XtGijnWCJrmu1FdhtyoKaoe1UBEEeCszlXsFfoAKj9WiCCAlMe4DM0JfB682Ob+PdnCjA4XqeiGb3Hce3WAm7cJc+DilpRjVVU43GUUipBaWUR5dNLmaUFD0X7Pw/OgKMrCqKc16Szf6zTGufDnAHdhUmUHQ32TE9rVOChk+BJHnD2oQ99KPz7SNhOIDq+JPhU5z9vTdWRgLMnPvGJMSCVdm2++c1vhn/nAWcAcOWVVy5oPFnXOnme8oCzoSFR6D05Obmg8aRZN+asmyqqYs68gIh6ooyGztyX6YoBjzmrhHOc8cO78K49t6FRY3js3wG/uNvEm68T6a6+TC3jCSWppNk2iZz9lpCMzuotxqXoiJ9wKvValUVeE67PsfruAxjy49esyIKOtTCAqM8JwZl0tKYm891nSqjgpMZ0+N7WslDEtThHa8rD2/fejjOqE/ACrfakgI7nqK9CNHDGwAlHIIvq844JjMNjkVrjjCFl1euqqFwAMW9WpWKaMCwKaom0JtF/icMsmaCch2mNAiQit6Q2oDFURhyQ9voeuGO21XlFNWed99lzonAuVzWrcL32esQ0Yy6LAcvahBiYY/JIrbENnIl0JwBhX6xOZoRS8eLcXPL/ssfDpUPNGRf3QUuwpDFnnACNVvz1A//+AAAgqAXZNXBSrZGre0tes45Nu5UyIuNwE3HbYakUJ5r/inTdsOasoZizjLRGSmAWxLOecODJU/sRcKEI2HgwPXCpfsMettFzYk/InD159+5wm02aMqv63Pei+ZM8P8QkoEUKsyiY/0pZpjVyJupxOenOnPmy0TUXQKitCXUQT2tUwYYABI5NpehI9CNELpeWHTF5o9eNxfbXzbjWFNwN4sqxzRZgWJGIjr5PBlHrRqg4N4TE+2e1JDjzZkSrgm5jaY25aE24YL5oNg1ooGy0CYcF8ALRPkAJgijwpoZMrfbgnl/z4Y63YPdHjagn6hSsGWSnoTKOoOojmPPxj9cJX9RlJM6csSh91Jf10wXmw+IctCjq3dJ8lN6TeoQSKQBbItE5nwqFzQCpoHH2jhmAc5TWlMADhMxZ0eJYJksG9k6J9NqgyfAP/x3R3ArgEwLxDK9EkZD+0/tQPr6UcSIe+vYIOEMEHj71qU8d8b66MWd/DnCWrDmbjymm70jS5PS0RlWn1clRz5PWeMkll4QO/7FizvKkNQJHXxQEEFLvSdPbGeQFZwvtlZfVOiEJzvJcL3WOjrR3n26dzkEeKX1AS2v0Re1MlupWbVc9ZM+U4tZF6zzc95apcJuBqojyEc6Bg2J7X27LTZqdbmVGEeIv32ji69tL4iHbySRzlpQ5Z1qe07BMaxwaF+d8zIzU0iiPnO80s3rNsBBfMWdju9zY/jsOjQF1j2CfHRW37CpU0JQezqEvP4hz58bw7j23wgsIDCUIYrU7jsr6KqIWpEUoKACu+pHlDDDJTMiY46jSSHXnyuqzYA+JiVGlFgxbpseYIu1KObLUD6KasyYDoRlsR4qpCHqy2e2UacPz2wFRqJWQATyKSwqwBiwUOMNgq4U8WdYTN06iem90r9clMLVNreYssbw6BotYuS5xNAXOlBphN1PNwEUaMZNgLa6IxzmPqTUSIN6/KJM5k8/WiQD+nI/KcsUcpG/PWixURvQS68OmpeJLARGsmS5cEtWcmSh0CtaTuPrm6w9uQ8DEOXPHvXSnX1OlJAbpWHOmTNUQKoadGgTJ1geEEAxfOAQYAoT1D0gRl8CHH95i2QCEcw6rz0JhmQOfAb1BfPKJWt3otQqQBITAsTiKxxUjoKSAkQHBnMl1w5/xUdtRE6IlGYGroBmgvreBOW1eN30CW2PzmM9RXleOycEzmVrapKL5tWKrlHy9spYdgTNQdFVrZF4g+nj5DHRATAaTAvU9dez7+zvx4R2/l+qIHJ5kXC1VtKvUU1ODIOJamiE4a2Fsloi2IFl9xRhgVEw4SwvxvVES3vNeIOoMucdCwkulqlKLitORMiR7yAaVdaamzI2cc4m4j4L2gBEPOLwZX3TLoASM8ZA5K1jAxsXifGw7bIgG24lnoiGpY2JFrKIyq98SwlYdz8RD3x4BZ4iAx9ve9rbQuVuodQJnSjr+WKU15gFnedky3RR4OZK+WXpao3LUO4GzvIIgy5aJlqZHypytWrUqNkZleQRBgKMvCgJECqKdLC846xYI6GRZtWHJ1N88zNmxAGed5vu81Bq5kFcnFJkqV6LGQz5A5W1ZsoAKiebeopq4Py4d341/vO1m7Pn8XvjKidDVyFKMGIAni1NuuJfiH28abOvlFDMu/DQvwZzptU8OZ/A8jkJDzOsPrNgUfmaAwzQ6rxfEphiSzEBYc+aTfGmEnGNFDwtTKXc6FbjUQN2QTs1YdJ9dvvtuVJhiqDuzi71yyby3KOZR9b5a98J3ae6EUNLjDDh1/2EU5PEo8JlMS1KS2g3DgGkJaWhiiQh6/xl96DutD5aJEJwpRzF3iiX02i7RQ09Z3TDhubwNnJ1RFenAWUwhsagGhoI20Yw0C6p+2NsKABqy5sXR0xqT4Ew1xjUJaAZYBBCKBhRYvmulGgKDCZGewGWy9ke7N4N4k+42yxiS6lMFAAe+fRAF6dCl3fp+zRdNtrm4tsn0zv6i+JLHlXBD9MN6zZnTYXmktmi4rJtoFSZAUqrTz+PrXsCAUtAZhdfur2HP5/cikAy+kl9PM2KI4jLl7B/XqkmFRd4NmwmF1qIBalL4jGBlKx7cS6Y16uDMNgnKa0pa4EGIX0BKu7vas655qAWSnA8Ja+xtoLajBn/WC+8X148zZ2nAN5DCQHXDjIOzBNtYLctn866GuFZdxIDUWHnAweSaSCkwc7vwF45z63AZARjgy31ZjthODZmkSIsSKuaKpTFnU8QSa10Wm8d4u3iGNEqj+95jYg4q5kwFtcSc5en3mVRNpLYAcAUWYK4lGn2r4KZu3own0soVex9ENWcFk2NlP0PZ5jg8RzHZJG21vYZi8O304CexSNZy8JC3R8BZwo5U2EEBoaTzuG/fPgD5mbMf/ehH8/rd+aY15rUjBWd33HEHfvjDHwIQzJly1I9UEEQ530cKzk455ZRwPzowny9z9o1vfOOIxqFbN2CeBbJ1YLdQcHb33Xd33MdC0hqPBTjrdN3zgrPSwTl89d5fY9X9h7r2q2FNBqMgnCblWFsGj0Vwi9J7e+74bgDA4R+NRp9btGOzXkA4Rp509he7wvNsuZ3vadVKzWvFP08CBHumhSXjUtJYY85MztCb0dGDEOAlZ4n7U6U11n3aFYAwl2F26xwWV4KwtuuWHlFv1qBmuI2yx08fDP+mFjqeo36ZanV7RaRHzt0zJ+p6cqg1zt4zB78aoL6vgedu2y7GgEgQJFnQr6SxXWLAkH3WqCn6Cln9FsweA6ZJIuasIeiFrGh+0tQcMghQ2xGtqxZj8HyOpiYnXQz8CMBmKH4SClBHpSAFqOcAZ8zngk2BmGsqIOCYkSCImyjQN1UdjNnOwiTNcMRO7LwBTyZriqS6JneFk6wDceYxjM9Gv0sIUDlBlyDMqKUsat+jBKYERwEjbfcaD0SjYFVXlASpqmGvp5g+7TO9z1lKT10AQGV9GcUVRQxfLDJA9tmlsIaMEKTW6AjNkegYfAb0+XF/pSbvM5MxTL37bhz6/mEEt4pAKNVVERNGKEJGHgDesv8ukW7HSZtT3WbaWAMWKfW1RkRaGZc9BpUZWlqjnWgGTmSNV2VdBZYRqTUCYn0T4KzzMz9oir5k3mwQtpdoeXFwxnyOXz9g4o790TNCXbMaNQUjQ2Vj44TYxMFlAwAAc0dd9EGb9eBOdq7HZw0GYoq0xZv2ivvXNBAD5n4ggoPK9VTxEh4yZx3AmYGwwXJP4GGiYcDsMTPBGec8E7Coee0zcb5VJqLKoKAWRac9ECJaQah1qMgCzDZJ1CIjkdYYNAIETQbmc4zWCL53XwFVVzFnHKzh4+0H78Sm2iTuHTfRGo9HLKlcq6mTHtgTY3342iPgLGFHCs7U95OLvRJ7yMuc3XjjjdixY0fu3z3WaY1ZqW5Zdvrpp+MrX/kKAAEcFNPUyfIyZ0dLOIUQEgIM/drnEQQBIubsU5/6FHbu3HlEY1HW7ZjyMmd5m40n7b777gv/TjJlRwLOjia7eKTgrPejd6A/8HDBzffLfjVZDzSIdA0tvcmk8TSLgvS49WeEWRNziGSIjQACnPUH4ry+aEzMoVaQUVshH3LJpapI4l7U8MEo1XbCikC7wTl6ixmPLQpU5DQ6qyZYm5rXnTnzaz6Yz8B4FGlVDFpd6+OWakZ6NBcQaY0AcHepH4CIjjtDdnenESpFjsPVGLuq4yAIwVl8ewXSfSKYIWIQEFsHAwROgaCpCbgQmh3NT5qaQxblaB2K7q8CD1BtxE9CSUsJ7D0tY+2kos8QIJp/Jxs1J02l63HGETQC1HfWQxU0x4jqYlqJpSiU0c+4XuGQCnJ/efTGIZ1RmeIlelExECPeMoJ7DGPaMnLuah+mlBNfffnKzDEZWuNca8ACIVGzbT8xRDXXVc0ZK0br3LmrfRh757CxPi0ATKIfmxIEqVMTjt3BkTUIDIdi6LECnHHE0xSTwSJ/zkd9Tz22wLg+wYZmPJ1+TrateM2h7W2/SY2MukUKuJMuGnuiYIEXiJ9jHstkqhmLmBTf51gkFSPdAbGIKObsMTOHsLJZDZkzRgjstMcrJXAW2W3KkkEjEOAsg63y54QghlEgsHotMIa2XmSNJvDcz1fw+I9HgUe/HjFnfM4Lz5UQUSEhUFLzgLeEiBQPslnzoCXAGfM5frpNpDVaVjzg4DEC5gO+vLcUexUKgqSkNYpauEjm3+EM41UCkM5qn2KfWgAkxSLFRjHmQDJnlsacKQCdZoREz7sS8zHbJOE9pD/PeCBS082yAaNo4Jmf68UVvxnC9+4S0YyCKdjtUw6N4r27b8G2USOqFZVGJR1L7XRwRgwCaqTXuj0c7BFwlrBjxZwpy8ucAfNjz45VWuPwsIh8Hw0xh3Xr1oWOeifLC84WypylnScFMHQhjLyCIDpTtXfv3nmNpZN1O6YscEYpxWMf+1gA829krkxnSV3XDcfTaDTwi1/8IrZtHnCmAOyxYs48z8PWrVvBOc8NzowD0TEKSeROLJVwvLgES550YC0DsV5SxRCcRfs5667dAETNQNa9RwyCTbPx+6vlZzej5QzwNCflw+eNw94Rd9RUJL5GzVBwBBAF+b0ZtdKEEFhSJn3Ad7HYbaBWB6oPZAdoiEGBgCPgESumIt+KOUs7Jp8QQcJ0AmcyxqBEPPyarPfIo5IYCGW24vLoPp0r2gjk9Wirg5COlkdoKINODBJzkEwjSmt0J1zhfGVE85OmgIABjpbWDsFhAaYTWjwKnPlDhey0RoqQKSiwILW/nW5KJIUHQra+/mADrhRoueSLN+DvvvsrXDBzGLsm4/eRAg2KVcoyVX/ytA3iGDevyT5HioHiUkmPe0I1T28QP10FDs1QUM7xeWMr3jK0P0wtowUjc0zEJFj89BFxHHLuKBDqJsV1pNQ6oQB3GZgEvoMlhv987Djc992N9+26GcVGS54TLa1RqznrlNYoBhQ18y0yP06WJRzK1lhLBAA0trLuAW/Zd1fqrk+vtivjUtXIOMX8OSHasPo1q8P3PJ8DFGgeaGLyD1Odj4MhrP+kVRcGOKZMOwzI7JsAyg/O4K37tuKTO26K0hqRnhorWCEC2yKxnmn+rC/AWUYPP+7xWH+8qQawsRZfF5taxkHYC64WMWdOiYYKgNSRDaDlduoe43IfxM4OWjGXwRqwERQ0lo4S7PuKpqTMOdwmQyDZRcVaq7GlqqLK3me1HWLBcFiA0TkBjPxq5/usNeEK9rXDkC0trRE+C1N+LQ0oJhU/Y0YQ1vI5jKHWEumyqp5U2fSt02g82IDZa6K0qoSdE/F1pmDxWMDrvjED3lz8uEiMOesAFk0Kb+bh1Xxa2SPgLGEPJXD2xje+Edu3t0fA5mtHktaoZNCPRo+qTZs2zev4s0w530fSrFulNCow8qxnPSv8LC9zZttRxfdCwG+aHQlzBgCXXnopgIWLuCRBnUpBfeUrX4lf/epXsc/mw5wtlH1NM/0cvepVr8Kpp56Kz372s7nBGc4dCf/c++V9bdHV0JiIaoseTLrSXjytsZAi+dYni2OEFHvnoRBK8N1Vx8fea3ro+FBRa4u6TKsGApz03RQnTT5Zb+wdib1tcI6+LsyZLlax2GugWuNwx7PXRkKE894/XcdSKbusVBZVzVnaeQ5kOkyWIIi+j6AmUgmz6gSVsQCAz2L7dm0LATqAMy8CZwrPDl84FEstqiyzw7FM/m6qazQ/aWqq2J6HyRsip9dhASZrYlwDBYaXP6oV1msRO7sdQ9wp6l5zJoINstaSCyfSGG/g3btvhSnP66Xju9rSGtU5pybpKsiimlCP2FIVUTWS7WQSMM7eNRc2phUKmtG8e8o1IrX17LkxLL7zEPZ9cEfUA6sLYCQyRRWIGNyo+Xfc8VPjLK4oorCsIOuvgCsuasE6LJ4XFECl2RKNqvXvuqqukaJgdz5eQkkohFFiPlT2Z2rNGRFsC9XS4aqt9oNViVx2Cq2cldbIOYdZNjBwTn/0kz4HMSn8Ga/j/J66ZRpBk4VTwZ4WQHzMLOCOg+Ie+ffrC7jzluiZEqo1knZHn3OZYkkBy4qnxPpVH8TMbrQcpsTK03fg+glctefW2DYD+6bDvxtyakUKmybsgkxlpGIOUzNizgxV/yXXMUKymRnWZDB7DBjLoyyW5Ll0OEOzHoRAyCBC3EkFJYxKysODiPlDbQPMFEJJU7MCPPoZYKT5YAO0SDsGeqQYJVwmmTPEa86okX3fE0JCAROLB2GaogoGKfNrQcgqplnBjGc17BilqM0mrrurmLPOgLGyvgzmZgeFHqr2CDgD8NOf/jT8O8sxDoKgK3jrlNYICEdWd+bTLAkG8rIxxyqtcWREOHZHA5wtW7YMhmHEUu8UM6dsvmmN82XO9Ov7ve99L/bZDTfcEJ7HvMyZasMAZF+DhY4xzboJhqjzu9DWEMlURgVer7322rZt84AzlV55JIqfyTHp1/1LX/oSAMTAWbe5bj1/dfj34R8eFk0uU65fyJwx4ZiqNC/HAA794HC4XVHWfuiPGjUCw+7OMuzasET/UbiEwpvqwHxyoOVzuDJ6axqAO9G+Lql6oiDx4wbnYdpimhESScoDQCXwUCvaXY+Bc+GYVrScOpXWqJo2J1NTACAgVKhcdmHOVD1NUA+kiEvnsTCfiZ4/AQPz486ubxsRc5ZwrJQipUprTLOe4wr4Ta+4Xn7Vl3VR8wBn8tQWZ+Jz2mEMUxKcOSbHykGGogJnXRo+iyh/JMDRaHQBZzLYwHzhyLIGw9qb9+LUegQW/RSPh8+DOTNK4vtUnlPX7cx21nbV4ddFHSFrMZhlA35N1A+N/iySUVegQ290rJzdNMlx3YgZpahyKfyi0riSS66evmlWzJAxt40421lwfTAvXoXDNPbVyWo3QIRjyYloNxCo30ypOSNUpvV1AWfKiS6miLAYBjo6sVbFhFEywAMOKuuYqBvALBloHnJT656mb5tBc18TQcMP50LlkMiO2FWohGx9gQVhOwgAePk54rnEtAbPkXEpWEFgWkDViJ4vrCmc+U5rNYCwHYPKYKje1M4gVmabMCXom5PnMNDSGgu2TGckBH2n94pzrlgsyXQSOX9AsgMzzBWBIT09mDTik60U+Gg2ALVEGRRoHWyBBxz2IhtGMT1ArOrOIAHjzAyDRyn82c4+KmccZsWENZj+3FaX2ZeZIko9MUxrtDqzVOG4VJCIM9RaKjU4sdZyVY+XPiEtg8f6G+6aMlBLpmqr+942Ogb2rEG763gfqvYIOAPwlKc8BStXrgSQzZxdfPHFWLZsWWa6WBZzlkegIQnO8jJ5xyqt8WiCM8Wg6ODirLPOwr/927+Fr+eb1rhQ5qxUKmHt2rVtn7/0pS8FsDDm7GhZGuDUxUp0cJtm6vOjxZw99alP7bhtHnB2pGCxVqu1AdK0c9TX15dbSt8uxz/nPsPc9hRmjwFcKrJxL1Jts02O6Zunw82cIIBlcAEyEpYHnK0ZjhrA2pzBhQFvNn1uf+5nwPr/XIaf7BTnxKSRbLluo9LPTipuG+AIushwD5wdpR+/cHQnPnpDEa/7Xna9LMDhV4MYi+DLR0zYF6zWfkwBJeCkM3PWK8FZkxoIIOu7GDKZs+q2KqZunhashs/wq23Ro863jVA5LekEp6U1Js22CcZkDV9QD0AsAr+avQ5N3DCJyT9OoXp/DS0JnJyp+P1Z4AE+/CsR7DlUNXDS4iBkzqhjdEknIiFzVuABqjPZYFGpj3Jf1IIEzQBmM34MaRL4ITgzcoAzyQpxmULscxKqYSbNn/PDHk2sKWqLKuvKmPr9dGw7S4bTW1rwRbEe1OrGnEUKiQqEh7V1iVQ5ASI1tlW1PzAQq190XL+N5VLssEdIZyl9QIAQgwJSRVIpq4IAfkI2nHlcBiWiMdXc9oM1uFiDFDgrr48YGyNDNbbnxB6YvSa4z0PG0/R8UIeitLKYyni6Y65oIqx9Vh4XaXb3FftCEaJFXjNMZQSAdQNibAFSrhdDyOrYFsVv+haHgZ2gGfUWm7ghvcyCSVVABZddnn7AtpxHs005H+S8dAlFyYnYO3vAlm0GZCBM3mMqpa5bvSmT/Rh18oYmwFmFefBbDEzWdxkUYa+7wrJCOrtElAiQEbKpt+ygWHv1ACamWSqbp+pMSUYOuWpE7QYEng987Ebx7L5MCkR1S2skRiT9b7NABBAYB/dYW0q7N+OFab1JMxjD7NaouLTuEpzx5aXxjRQ4c2jHea2UIx+O9gg4k5YmCpG0G264AePj45mphur7ac5jHnCWdCrzgDO91ibNjiStsb+/H8DC6oWSbQlU7ZEOLkzTjNWhdatJ078HLJw56+S8X3PNNbHtuoGPPOBkvpYGOHXA1A0QHm1wdsstt8T2q1ue41fAaqHgbOvWrW3vpV333t7e/FL6PYlaGo+jub99fKLxKwCZsqciiYvH4nUMBhOyv2kPAsOmIF3uvRed3Qrl9B0WwCVE1Fal2OUfEdt94PZ+AMJhLCxvZ1M9V6UPxX+7bDBcdGL2fWP2mLh2kQherG5VceHsYXzr7mzGFtKf1VNmFEPlZTzRfZItLrFckeuEoK5qTVtBR0cfkD2qPBbWCn7y19E9w2xDS2uMf085ED6h6HTJbJvAp1SAaaXW5/PsCHrA4E64qO+uo3ZY3F+rv3Z3bBuHBbHai0et9nHqgNi2t7ezYw2IOaqYs0GvhR17OrML4jiZaEjbCOBOeWAeDxvsKutNKAG++5KGVnPWJc0SAJXgLHhgDoNeE17QGVATQ6q3tTgCN6pPSaZfKcbM1I5NgSXSDZxpKnmKOVPLhJeYS34tiAn5KLazMl5FbWdUr2o2fSDxnIszZxnjIbKuaECAmIqkBoyiEVuLmMfQ2FsP0zyVVVPYUYPzENBzm2LFC5ZFn5kkcx0yilQwZ0WxjakAiJ3ODrGAwa/6QlVTgka7LubMhOVg1BbrxYjXgN5xSgWwgpSAjNkjapAAwLI4GKH46KqTxe9JAM1cIVCSZGG9GS+8f4ls+eB3OF41j+YkOIsANYUTki1ybEy0JQAAS4rchODMaJd4V6bk4wkl4XMDAIxEEKTfd9HySRT4MzgaD4rrX1heCDMg2swgMIoUhsaYewHBDXvt1Oulg+jkbTh63Rhue/nteNGO7XBYgLpPcEBTRTVYlNaYedsbJLxvbM5QbRHBdrbiDe9pgcKsmKkBOcI5jAerYI1o+2RjcyBqU0CdzmsRtdVN9vCzR8CZtDzgTJlSXkyzTn3OgO5KjUA7oMkznm7CD0eS1ngkKWnJsSvgpb9vmmZY1wZETF03W6ggSB6J/MnJydzMmb4oLFSAI2lpc0dP6+sGiBSI+tGPfrQgNctkCqGyNPXHPwVzlnaN1Xuf/exnw/f6+vpygzM7kcfv14P02gEmxAmKxxVhlo0wPeWc794Z28xgHP3FdHCW3kQ0bmev5ejvkSltnKHFKfxZv21MqgBctyLzQ+cBACCb7aoUMAVEvjcosgNOv3QIxS6ELyEkJr+/1BUOaabDz7mIVOqqXPJfNwHOmtprH9k1eWVNAl2lNrLEwz5porcOwuaneu3KoeMGw3TLJCMQS2vsMIVsKRUd1sDVmQDvWXVnAUcw58Ov+nA7gMpkP7CyDfzd+eK6moV0RbLQqGiiDQBnVSewfdTIFCpo7G8Ip6kRiHnmsjYWsTfwQkf66sfO4vLzWyG4ypXWqEXFl7oNoUrXCVDL81deU5KpaRyNfQ3s/Miu2Ga2PEe2dq5CJ61LyhUxSFgzpObOoVnx+nWfjl9sf9aP3bduQNDnuzjuM3egqjHsBddDtcpj/p8O8B0ru7aTEIDI5sQqHZg6FP6MH95rQT2AO+3D6rdjjZOtB6NxLH3uErlLHjKeU8zEHV7kc9iUZTrWxBLgzJSg2pTKNYQKcNY81Io72DaFPWSDuUEomGPJIq5p08aYKcDZsNeKMWf2QTHugLTPIWIQlFaK54UpU1Brstu5YkiZy+DP+eFrZfXdDQT1QJ438V0/ccDjck1Tzn7InKkWGpSiWBBfV1/ljMMoG2Aug+nEU3VBSds4lN2zk+MJXxnEz7aZ+Phvo7W0MBt/vg76LbTqLOzp5phAY59kzpY6ok9mihGDghYorIJKI5TjIIKJTpr4WOwrgQ+x6+O74U54eNT+A/iLiT146rVDGK1Gc83UlSO73GMxQRCXoLSmBHvACvvtAYKBVyqrSfur8V1gH7on9p6Z8txR1yyLMc+zTj1U7RFwJq0bONOdkixwppzhNKc4j7T5QsDZgQMHMj//czWh7iS7PjYW1RAYhhEDZPMFZwtNa8wCXQcPHszd50y3owXO0sCIvu9uY9q0KWo4vGvXrowt00391uc+97nY+2nzN8+cVuCsE+jrZjMzM23vqXP06le/Onyvp6cnNzgrJJiz4tICuMcxfcdsfEP5nKcWhT1sd2SADM7Q48QltZVRO4fsuB31ETuzOoEWE+kgyYdsc7T9HD55x87w7w1vWx+mSak6AUaAZ5zs4tqV6zHwntMwfNFQrpV/zdLoWOpKbTFL0IED4Dx06oCop1HyvH1k+Unh3wwEHWkqaVf8pRyHBESsyTIbwHJZS8UlSFPnYtx00FjbPy+1xqSF4EylW9UDqaCZAVwDIHDF9XRb6ds5GuAoWxJYN7srkgFibe87Q2QmDPtN7Js1Uh00ZazJRNohA7grWAiS6PlmgIcAX0W49bTGbnNaB2IcQkPBm+1UR0ngjDjye0KV8MFr9rVtpsbjpPVRsNKb0SojJKrLax6IB4p+drsBzjn8qg9v2kMw58eAkBcAfX772C3GcPAww9zdc9j1yd2C0dVYmEIHKX01HgCgg5I5q8vUMZPAr/uYlCmdfjWAP+WFSoHKHv39O8K/lz9PMGQG5yixSC3ys/f3wZdKk63eQuZ9T20KzgBTpnyXXE8KdIiaq9mts2gejNYf3mKgNkXQ4iGj58jUzGnDxqwpQGdP4MUCD4u+fT8AYNDwM69XWc6HGpFBEI1JCeopzDnhItuAASosFGjryj2PXR/WUar1QNWcRUJABkoOAE2shFACo2SgeagVMmeqx5ZQak1fh/72wxzbJyy86MsVfPlmcSzFwMfFv49nXg14LloNBk9eHNvkYQ2cWTY6MmfUFIIlRqLZO+cImTdljQMNTN8yHQYRXI3JO6E+HdtW9an7t99EwF6tDcTsLm5FQ3n/AHWPgFMKWjBiIJZ5vON+Hjt9qO09I3G/X7wuYkkh2x10Gs/D1R4BZ9K6gTP9/az6qyxwpotHdLL5gLO5uTlcdtll+NCHPpT6+cte9jIAf74m1HmApWmaYeokAAwODuba95GmNWYBnEajkTutUbdjyZzp++42pqVLl2LdunUAFgaI1G8973nPC99jjKFUatdf11nPTqbA2R133IHR0dF5jycNnPm+jy9/+ctt7y0UnNECRdBiaMqIpQrGcE2owqyY4BU7liZRerToU2QwDsbiQgXKzA59WGK/b5PQmb7iwD1CSp+jTTY6+XpjfRrn7Ymc2MJSJ+xlFIIzUPzTk5t44B2z2HCiLYbf5aFFKPC68yK2XBX3N/ZlsJ9c1HrEwJk8H15i7TlkRSmyBeZn11MB+NAbKC4/ux6JgjRYJlPFfSal4jnKa0vhubitMoTFPRxMPvo6qTX6hKLTFLLlMq5qYeq766n7Cvep+grJ3j6dlkUdcLznSYJdiMQustsxgIqUMEA4aWM1ipmtsx0354Fo6Mt9jsADrto+jGq1ffw6wAcSgiBd5pCewlhkAXxG0DqcvkZyj4WiE6zFOzrtajx2muBFl7RGIEr9rD1Qx/iv4mIRc3VgblsV07fPCKGXBHOW1tLW5ByjExw7P7wLoz8bw5a/uhXuuDhGlSLXeTAAwGENSeasLtZqQgj8WR+NPXV4sz7qe+twljqwhzvvTKV/GpzjiVMiWFunBn62zcKNLzkHr1r3aAQ9NrJOELVEQKiwREzwJW4jlv4W1AM09jXCtZF5DIRKoQ5CMDbFQ+Zs1rTDnmuVwIv161M2YASZ12vgFAEO6kQFZGS9+OqSAM7J+y0Qtbecc1EnjCitGgBmVg+EQSIryZy5UZ1g0ZHzKJzfHNSk8Gs+LEelNcrnAyH4u28X8K1fpdTkpUz15W67H9UbuPjW9iL+/ifieAtmxAYTiwIp6xC1qUghNAjMithgsSfBvW20KRTO3TWHxoON8J7Um6q/eX9c6bc3ENfwpn1aKrg8XtpNEZVGqrHrPLGG1VzxPW/Gx+zdsxj/7QT8Ga9zKmKH+yz8m3J882W1uHJsh+cHofFWCA8newScSVPOeidAoTvHWT2/ssBZN5U9oB1sZAGcD3/4w7jmmmvwkY98JPVzVeP2UGHO0sw0TaxatQqAqKXKCyAXypx1qzkDBDhTY58POFsoM5S0I01rBKL6voWkEqrfchwnVi+WNn/yMJ16rdpb3vKWeY+nE3P2kpe8JPZes9kM02+7BUIK5cQ8I0JpkAcinUoVnLMWQ/X+Klpj4pw0feCxMwfDr/U/ZzkAkSaTbGSrzLC7z2ma2EalTyaFAZJS9MoR0/ejVAYtGegJiKhLC3vwct65jiHcEYHVHwUwVBrQ6D3taZXh2GR9ng7O1IM2mdp5bzGqLe0J/MweXsoGSjxKJWxm15wpwQtiURhFI3TGPEKwpId1ZM5UWqOXUXNmmhQEkejC2PVj4W+mDyb6HXvIhufxWCS47ywplKQBjrDXkavOXzbAJ5SI9CciAgRTNYS9mNKM+SIFNWgGuP2ggc/dUkqVX1dzSAmozKfP2eKnRYGbIgvgMuGgpdYveTzyRghglI2wZg0AzD6ZqivHkzZWYqHrmPRI+tw9c9i0NDrno1MCcHBfTGR9vfOCuKy7MgMcU9X4j6oAik8IihnLEKEiRcxeJJzgXk3l1B52QAwRsPFnfBhFI1uJUh6XCY6KdK53FMQz4D9vL+GAU4bZRWhPMGdcpNIBWObW0ZTuB+ciVbh1uIXxX46D+aKe0ygbITj43BcbsDjHjkIPWtRAVd6rlcBDKWh/pg2eP9CVDS6YXBMEidJXiU3b7l2/EcAetMD9CNz7motLChQeUWuj+K4CZ768z5hJBcgHInBOhMqn4VCsWiTvY87QaHH85D4bX76tiEvfkRC7mPXaVBkBmSWQMJszfOLuaD20TR4PyqQsRH2n9wkxGQKUNwgfbVNtCgDQCkjbWhQ0ApEKLkFfS2uR4STmdY/f7nMyjSnM7vQeMYlPHXsQxcBHrSX6RPrTLqr31+BNemiNuamgE2hPRQXi4Ky3wMO2LWpMWQxZJ0XIh7o9PEd9DEyBsz/+8Y+pn+tAIwt0ZNWcHW3mbGIiHvl73eteFxMrUU7xQ6XmLM1M00RPTw/27duHQ4fa6eys7wHAu9/9bhw+fLjL1pHlSWtsNBrh8XZTRtTtWKU1uq6L9773veHrPKmWaq7NFzAGQQDGGCilME0zJi6i5tETnvCEcPv5grN9+9pTlbpZVlqjbuPj42i1WiiVSl3TLR0L+MuNjw1fc8aFY8ZEGpFiCEZ/MYYH3rsTt79S1Ji5PvD3+yMhB1OmlBiMwwuimgbd8kb0dcXFpkdATYL6A7V4nVfC305GGYkd9bBRLB4jJFThEsfa/YFFTAJncSF0UJRjOjHR3quKMy5ADecAOKwU5kwHqNuLfQAhYd0Z5Z1TXHTrLXJUqQhMBM12QYBwPAFHUPcBFu03AmcUS3p5CM5+v9PAnHaLhOlNlGRmWloG8D99Qj2sEcgNOzFnkjXjTEhjX7+vFEthPP6NQnjF5iyUHFfgLHSKrC5phJLIUlLftRrP7O/DPcGcsRaDJ49ZsVHW45fAl0hegSAuX+sS893MrJgYOG8AgGBHvUCwH9O3tN/PXOtF13NCBWbZROtgFFjiy0qx8ThJ5oxApDfllPkGxHX50avnMFwS+/z5dS1Rs5SmTOgj1hA5PEbO4HdIa/MoRU9Wywop0V4aFnO6p6mBswELxKJwJ12h0pg43zO3x8+hAHrib1V7tK3UDyASf7Aoz1yHqCXSGlV66YjXDNP+wDjgCxVAb9YPmzZTk6K4QhxkMC7Gf4/83YBQ1KkBA8CQ3/4cWvZXy7qmnQ2XWby/oTpe8DCN2Jv1UN1ZQ1ATtW+sxUJRCn2WkIIRMvhJ5ixQQRCDoGdDBdQiUQCLANSgMAoU560MUJXsfWPGx4ybvkgEdQYzaJ8Xjoaa1HqfrKcqmBGTRywKkvK4N5yoD2NhqRJeEfdLwxc1gkpBlrkCSFt9Vqig6mknRo1p7RVrxHiQIiYSY8xTD1l8Tgma2n27qT6FaouAWlS07XAZvKqPyoYyqEnxmwdMfP3WeLA5DcDqgiDq0cVDNg/Z6bo5ar4fivYIOJN24403AgCuuOKK1M91J3eh4GwhzFkWM5R0QFeuXInjj4+a2SqG5c+V1pgHrKjjW758OQYGBnLvWzFfd9xxBy6//PLc38ub1pgXnOmO89FgzgghYIzFQLoOzADg1FNP7bqfhSokqmNQipBp4EylTALAokWLuu5TP4d5AhRJ02sUlaXdF6onYB7AaFtAwzBRUxLvPhcshXzgc4+Dc46mlsa37+v721JVVNG6wRkClq4qZToE3dAZtShO+Jf14etWi8HsNeFOuDFhh6QyWNJJpTaB9B1C2fEABHqbIkIQpj52MiJ7DS15pmA/lFM8V23vVTW3vYrJm6ZkTQiJOSUhONNuNxUJ13sYIYez31uMmDNWZxEoTFhQD+DN+kJSW54uxQB5hGJZHwtFUn57v4Grr4vmp4rGCrXGzmMyKXBHWaRg3/6AaELcsR6PRxLfOybF+FW02uo3YfWaCKTHoQCSckDCCLrZWS4aENeLg4Qy6IHL0WjwTABLqFBRs0nEBgDA4NOXwC2L+185sc7+Odz+qjswddOUHE92tBoQc0zVwxRZAC+AFHJIYRTcRKPwSRfVeyOW9oeHe2Lj2TgQD/xRm4KmCEwkbeDsflhLxbxjLYaKA2wYFuP55q8lcxZw+M0AB75zEKPXj2H0+jF4jKSydQbnIbhNmm1L+foOJuq0OAq94po5Qfu93NzfbDs3ALD703s77C9aExRL1CvdDpOiC3UmAzEyzXLIa4ZqhqKXXyBShX2GmTtnYwIPAFCRi+OMdl+re3yx2x7cpVa2ow8AwxUuwBAlCYVGgtquOlpjLdR21lF/oI6g7oOaFMxloby8WjsPnbUMpknCmjO1TqvATBCCIaEuyAOEAI9AjNMoGeCMY8IRJ7R+yO043YJWkPos0Nfr0mqx7liJgLxtcC2tkYB2Kn6Va7Ql+9INSgBc9wmCmo+pW6YBqDWEwx6yQyCn4mfFwBeZCzZB+XgRADFSUvOJavhcyA6ADJ47gPLxkV865LUw54rUQu4xAYJ9HjaDf87nK3jdt+J+7CKv3WfR1T7V6YjEibr1N6T/e9MaN2/e/N7Nmzf/dvPmzV/evHlzW07V5s2b/3Hz5s1bjv7wHjp28GCUynTdddfFPtMdaQVI/hTMWRKc9fb2wjRN3HTTTfjjH/8YgrGjkdY4NjY27/quPMzZQkAfEE9LvOmmm3J/Ly2t8bbbbott893vfjcUWflTM2dpjJfeJP2lL30pzjrrrAXtJ80457j++uvDOkp1DAqcKZCngzO9LlCvF+xkRwrO7r777rb30s71fMCZkrj2JErhHpepOqJOifkM7rgLdzKaw/u/dgDr790f249hqYc9hx9EUdA5DY2YTnfxBGIQWP02PFt8z6+LGhxiUkzfMhP2YEs628laDmpHxdFx5izahqP7WiBSRaJ0SwUafIO29athjQCswTC3q4Ff7rJBWtE68btecS10cJgGzvKsTX3FZCNqEpNbDo+PcVCLCIZQvqczZ8t6GZRqvAGOL/zBxr13tVDbVQ/TRv0MQRBA9ANSQLEUBCKS35E5k8CNcVRlbyoVraZSrIHZsmEvVzWT4rtMdxq71JwR8JA5c1iAWgOxXnzK/KqP+w8Atx004CxyoDLOFDva20PBzThjuua6+9EadTH2C7FOECO73xEgAg5qPCXmg3ECbgp2prGvAU82y+WMw5v2w3owAGHdFgD0vnQNWvI+tRjDU9c18cS18XVNiGVkM0OASMNb8noxJ5XAxEtlD6e5hgzK+ByjPxnFg1/ah10f241dH9uN8lwjtc7N4gxGf3otmFPIvu8VG1bskdcskfoXMpsp/Q7dyfb1T933CvgH8nVdbmrSzrV86vcIQVgDN+S3MCuZM7NiCuYjAJgn2hewVvx8lKUW/Ixp48onCDCmRHMGUpgz8GysCACLesRGTIoc/c+tIkMBBPCnPTQPNNE61AILWFhHafZYISu1cpvIxnEXl2BR3lZzNheqNUpmyBJBkPLaUgQylKqmSVHbUcOkCnx2qL8NGgHcUReFUvvB6anLw48XPUKSIM7Ras6MrHplebso1cNBT5zjrYdM0WBe7iPZsw8AdoyL86PYNmfYCbMp0pQRiUyvN4rZ/RYJJVjyrCUwytF1/8rNNu4+SLFt1AR3WcfWAwCwoT6DSkp9YhpzFu7HQHbgyiLgD0N01hWcbd68+TQAy7ds2XIhgO0A/jLxeQ+AU47N8B46dvbZZ4d/33TTTSHTBsTZLuUML0TCHJgfOEv+hpKqP/fcc3H22WeH4Ezt40iYMwD48Y9/PK/vdgIrunNfraY0/p3nuHS2sJulpTUmv/+lL30pFJvoBs6OtpR+GqjSaxwvu+yyXPtRoKobOPvWt76FJz3pSXjUox4FIDoGNY405mxoaCj8vqptyzMWfb/zsbS+gmnHNTUlovp52DzLBAjhYTNb1mLo2dgDGKIYH4zDr/ltincX3r4j9lrhC5MzeAEJHyI9mqNlZSi2KSMGAQEQSDAU1poRwB1roXm4KXoKacvDsNfE2dV4ajMxSRg1Vg5IgHhaIwG6C4IYcXCmxCr8AO1sFRFy0h/9jYMXf38AnnR67zp3DQ444j5VCodAVLhe1QBsaqPVhPUUEYoMeLMewIUYR1qaJSgNWVAA6JN1OFXDAiUc/SXJ6HEOnxFMv+1O3PXGu9E8IOaVR2hHKX1AgE0FFEvMR8Dj6TzxAYkG5rQQtWJQDrQCJNyksfejtEbNaexSnwNCYj2P5mqiuXTSqvfXcMHnhvDkz/Rhiljw1JgkMOypEDBDObFSTj1xjvPUnBGLwKyIc7TEl+em3xZ1nA/UQmZMMJ0e7r3q/rDWU2eKrvp5IXSqbc7w1xuqmPpZXFiIWBQcXQAsRGoXka0ZlMDEKbLubLwmWBfmMbQOJcCfG4QqdroZnIs8tBQrOdnniBACYlIUi9E10x//xBTpaSptsL63AW/ak2OPNhx5l1DnVWBPXccLN4ht6p4EWJRnO7Fq3egzERCCvsDD7Jy8T0oGejb2yEADg98IUFoTF4gqSXA2a9g4SZ5Tl6iggxhLcZX2POXdgzLDvTKTQQYpvvmfs/gP2ahdpZ/7c75MKZZgd3kBxCCo743YOmpRmEZUz9QmpR+r8SIoriiiqHpHEsicYSET/6Cs5Z+7cSJ2S6o0wtl75tAabcFOWdMUczZ04WC4tibTZR2Th/W0WbWm1KAwe0yYPRTcIKgwHxYL8J2tjgBnTQZ3yoU70e5DvvRasS6vdcR9aQ1a4fVPY/wMuXAZJSP72UEBs0yx4q9FLfaA7+Kamx1c9NFePPEbizDTJLCHOtfMP3l6f+r7Opu3eaUYi2JFqZXNnFGL/K9lzh4NQFFFPwNwfuLzKwB87GgO6qFoSdD0ve99L/xbB0lZ4CxPilmSnUrWlemWBDbJBs5JMJamttfNdKn722+/fV7f7QRWdKYrS1wly970pjeFx6sERfJYWlpjFmDoloqqpzVu27atbZ7M19LSEfUx5FFHBKJj6jbnFODeuXMngHxpjTq4ztM0nBCC5z73ueF+5mtpDdCzQGceeX9CCEoWcMAW90T13ppIvZC5+jwAWIO1CXXodurHN4XF4xbnYEiPOpp2DkfWlOqMkkHxagyHZkmYEhdUA0zfOoOmy/HMib149cHtuHr3LeH3V71qJU68eqOQC5dDVpH+4wY5SrHgPu+a1lhcUQAIaXMgXJ+EIhX6/pjP8P07xUN3WEZwG6Vo3up5/2uac/ibR7eweDFN/bzjmBxgyhIH4k15IDbF3P21UHY6HE2g/o3q45ZIlbRDdhEGF2mtgHjoU+2a1XfVEYBge7Evu+bMhsac+eC9VkxmXDfWYqJ/06oi6oo5k9dGyaMzi8bejwRBNKexGyvk0BDsFVmAao2Dp8UIKbCsVcMJ9RnsmDTgeoDJWDSHHRKCxRDgW/EJkwdMU4uivE7ci6fWxDpf8yn2j4savLC31ISLfV/dj5lbZvDA+0TwQxcNKTE/7JNn8wB9d7WnOVM7W0ZfmVkxQzZPpeUN94jrP9GgYK6411Rqn7JTDoziZaMPtO+P806lhqgUujN51CSgMnBRYAH0jE/VX4yYBO6Ei62vvwu3vfyOtn30LhVjVeBMsTPqnmpIcGZ1SWtUawKhBHXZCLE+FnfsRfNyxFLTAKC+p47jDwhWdca0MCiDH27SB1mZCHZ2OT+qZo/LcT95ej++c4ctVEbrAbxp0QsyTYyHadLtpikYl4g5E+Nr+Io5k0xVpz5eBKAGQByKbTL454+1YsOfkix1UAvgV33YWo+7gaLY/xXniXWIOjS8PkmFX4NEgiDEoeh0koYuGIQ9bIEQCluqD/fIINShWXFM01umU3tjAkAp8OBJQGlWjDCopwOhxW4DT57cJ5qtQ6Ypdwk4AATWgFgbBxLtJ+6v2nAWdfa31PMYAM7+r7PQd6bwL3TA+O/PFIqhETjrFmh8eFZv5WniNABA5fTNAAg9s82bN/cBOGXLli3v3rx5c+qXN2/e/GoArwaEYMUTn/jEIxrwn8L2709H77rdfffd4Xa1WjT56/U69u/fn+o8Tk9P59q3bu973/vw+te/PpX1SgphuK4b238SvHmeN+/fB4BnP/vZ+PSnP413vvOdeM5znpO7NizZf039tu48j42NLWhMlUoFH/jAB/DKV74S4+PjufehxsQYC7+T1Vi30Whk7lu/Lv/5n/+JarWK97///bnGkmYKNO7Zsye1VjB5jTuZ+u6hQ4cyt9fB8f79+8PUQMMwsH///jD988EHH0wF27VaLdd4Lr30Unz729/G6OjovK93GsDMAmf6tc2ycnEEd5YHcUZtEtMHp1FY5ID1BvCpBxDAM1x4Q+nMNRu0EJwRoOnV4IPABEfAOcyUEJ23xMN4axxkf+eHCA84/I0+mIyif+dmE++5uw/fe0sDp60W550YBK/++jDefOiGtu/bT7FAlxJUUQWXjoB66J+2sYXqomgt4P0MY/WxzPHAAbyTPHi7xW+vbc6hEPhoLPdwaPoQTD96dAQ9AdgGhsBiWNGq4XTpiNeLWp1AT/T3vcU+9C1pYvMbK9hzxSR6H9uD6lAVjf1dgPtigkkpuNKsNuGuF02RD00dApmNjoX7HP4JvpT2B3zbDyWsD9pFNJZOA4o509TtlM04NqYsB5Nzh7F/f3qwxTAXhb3fSszHZJ3rOgAAk+9JREFUzFANPct46rzz53ywjRy+7WNyfwFABecfXwd2AbwCVBdVwQpxx9ofaaK6yIVLJFOyOsB4MA66v7Oj4a/1gX6EY2qcRNBYVW8bU1AO8NkHtonz4Z8Ma52BpZ44P61+B7XFNQTSf7I5Ez38RuPPEtbPUB3sfs3MJ1KQDxAsaTVQCTz89XcquHOPjW+/5TDOWl5Hc38DfsNHdVf0DK0uqqJWjF7fWR7A6VUxpyzGYPV57ZIFRQ53Q6vrfc99DtInzrXve6guqsIc4rDNAdR8irkNHkoFAFvj9/Hj9+5J3Z/BGeqV9LWoMhBgdG4cpN75PvPXCqfXIwQW5/jozRyv+wt17BxsiIHZAep3yRYfAcf+rYm+pqtrqJYoIMGAAvi8EkcsZKmPsdooSCt9PDwQ941nemj02OiptzBbr6G6KJpzrEfK33OgWojmxP2vizIKZgwbzvIqgJ62/oaDbxqEZ3kYeHo/mmubcO0Wqvs7Z8+Y5QoAG7vPX4p1//0gZg0bAWXwN3ngPkfNqAKLAV/eJ54Z3cvVPdEcoqSBoL/ZVnNWQyDuP18016C9wOGZQyBz0TnylyrETMBGGBpSnZI1fLR6mgAEoKgtrsHd34K/yAfrY6B3REjbcRjQoBgYqKMOIBgI0BpqxcYCAG958E6s/GotTEn0N7mY8Do/O5jHEZzgg/ZTYBo4a2kD148X8M7byvjoKybgUTdkjTzTgz/pg5YpnjBVw5sO3IP7SiLzhQ9x1EfqbeP59103Y1hLSQ1WBaiN1NDa3zno653ghYHcZDrrvRWKzfJZxDmw2HVQDnzsLAo2UgUUS88eQn1FHawkg1XyWfbXj6nCWjWHOZVRYALuhmyfKOgXc7bbM/jPYcuXL+/4WR5wNg1A5S71AdCpjjcC+GjWl7ds2fIZAJ+RLx8W5GLWCVNmWRaWLVsGQkhMTc51XSxfvryjw99t329961uxbds23H333bjnHtElva+vLzV9LEnlnn322Vi2bFn4OlkPtHz58lzHljSdrTl8+HCsyXGWPfBAPNKY9tszMzMLGhMgBFAAAUS67UP0PuGhWmCxWMz1u93O2ZVXXolPfOITIcP59a9/HV/72tfyHkKbKXazv78//F3Fxj32sY/Faaedlms/it0qlUqZ49fn0PLly0Ow1tPTg+XLl4fMWKVSCcehC4Js3Lixa08xIEodbTabua5VWrroP/zDP8BxHLznPe+JMdNf/OIX8dKXvjR8PTAwkOva9lgeJmWjVHKIoDJWwdy9VRAAZo8h0sQOph9baU0FlbEKnECkypicw9J65ejR0GKthOHCorB/UJr5cz5GbxkTIV4ARZl3/8Of9eCsC2YBAEbFxC/vKuLNKd/vRz/omHQ8WLwJdcG3UBmLGoq2RltY9LhhWP3ZLRkO3nIIJSmrfHJ9Gv+2+xbwXevhFCiGLxqCKetAprZMi/PmUjxuOqrNDYKIfSjORI7iB5ZvwmWzBEs2L8bAZ/tBTIJitYD+Df2Z45kZbWJSOl/BYYbKWAWt0RaGLxqKMR3NA01M3jcJv87Amwx+zccyt4EqNbHfLqO03wOVx/WMyQfxjMkHY7/TlKBr8cAiLF+e/ohcvZRh37gQP+gLPJj3FWDbAZY+e2nbunz456Nwx12UVpXAxsU571cKiaa8NpKFUylp5akCKmM26JxkjEYtDJvDKC7vnGY9+ftJOLaDKmoY8F2wgxUUbQsjT4in+c7cET2v/AcMMItiWUs4ZotWOXKuRNL1Gxqzbb9l1k30TPdgYEN2oO7gLYdQWlVC7f4aVjfncOcesS5957o+nG9XsejiYYzeNgpoPlxlrAJ3VFwfZ4mDB4p9OKkuxmxzhkLDRLJS2SAmnB0FLH3mkszxuFMu6oYAOq1dLurXNrDoccOoGAyTvoHajQYWn1nGVIpCbJqZ4DCn0u/rIQYs7lsMq6/zfTb+q3Ewj6NJDViBj09/v4x/PD+aP7N3z6G0oQw+E723758iR7RODQxWe0BqBIRQAEEI8B0WZ/8K4yZGekdgD6TXyPlVsQY5ixx4JQfAHJZ/dx8qT4saxs/ePRtKuFdOiNYUd38UuJsxbSxvinnqauCMUYIB2o/BK8SccXd4KK0pom9d59T4YUdMjIn+IazDgzA4A/cpKhM94IyHtYmccRAAzpKIrdfHVGyZqNQcHEzUnHl1E+XRMohMxTa4gSUDS8J0XACYuHESIED/6X04/NNRBJK9x1yAwlx07e37HCz7iyU4dPth+HM+zGZ03QNPnoetsmyAOSjVS7GxAMBFs4cBebsRk8C538HguYMoLEvP4GkeaGLi1ilYBRstuDi15OF6ALWDFPRWA8Sk4G4AZ0kB3Oe4+zIRlHmT/P6GuvixAi2gMiOup579MZwAV8VqET2TFQyeMIhOdvCWQzCZOPYTGzN40tR+XDcgnsez95monCp+x/WBD+38A3oDD69e92jsd8ooSB+j6BRRGavADKzYmKymhdKBkqYeSeHsLGLpMzpnFM3cPoNJMonhkeFQEOXhYHn4vhsBKO3sJwP4nfbZOgD/tHnz5p8BWL958+a3HeXxPWTN932sX78el19+ecxRVFH+br2qOlmpVMJ//dd/4alPfWr4XpqUOBBn7ADRfFi3JNuWJ90rzRbyPc55THI9aSptLo9oSLdxJc9D0j7+8Y+DUgrDMHDuuecCSK9jSrNuNWfFYhG7du3Kta88lqwV+9WvfoU77hCpLJ/4xCdy7ydvWmPyc3Uu1blNS2vU0yzzADMgSn/sNJeV/eEPf8Dw8HAIcBlj4Rx573vfi3e9613h3AHEPLrwwgtj+8ijigoAFYdjRoIzVXRfWFqAs9iBO+0jaLbLxisbXCfOCyWIorF+pI4YG8+yQveUKwpRgyEFIlQPrc/dWca7bujBbB0455ODMFPSZmf6S7EUo0gQRNYvteGL7NqTcEg2Re/pkeO0oTkLj4sUq8mbpqLUMy4UuDgHmlqhlm9qc0Mb30GnBE/22XFGHIg+Qt0HVCwRjFoFeISgebglak14uxCHCIwRsCbD/v86gHv/9X4AwL2lPviUCvCfkerSkHM6a2pvWiv+PWTL+0PWKKWNJWgEoWpkTaY1qqL3sH2CFdUd6b8dSekb3cUuigbMXpVO1EIjoKHohW56yuBvbvBw+a+HQyespAIIVsQwvH/XzW376NrvSBq1KZwRcY8t8qLnnx8I8Y3mwSb8aoCk6jiXzMEvm/0AIif/7Llx2LKec/ElkfAPa7Fc4yEGgVGJrv2uj+0GMQiKkrnkPWKsSdEbN8EALfkL4QwanKOZco4BCIn+rnV5ol9Xg0YNxHWrrCsLifuU3nAtQvHKTY8JgwE0rDkT2/KEAqoQBMlKayRhTWtjQMxrsxrPlqhsqIj7S6vnVMqfyuYME70FldaorQdFK/77PHs8AFCW7PucPD/HtWrhTxNKwH3Rl44HHCzZ90yT3g/OXgSTttecnbb7ALb9070gHkONmqAFs+2a9Z/Zh/4z+sJaK9OiQtSI8VDFEAB+uM2CN+OBtRiCRQV8ZUsE3MZqYv64DwjWqPfknswaLyCqR82cQ0QIAZkyrfGCJeJ5HhRNmBUT/pwHe9iBUTZQ29lZfM2oGGFabKfxAIBRbj8/bUMySNiXEACuOHBP+LerLapuEDW8vnDmMMA5yky8NmUGSdRcXYxp+f5J3HzpLRi9TqQ2K+GqTOtSX/1Qta5PxC1bttwO4PDmzZt/C+BkAN/evHnzp+VnL96yZctTtmzZ8hQA92/ZsuWqYzraY2jXXntt+HeeuqGbbroJO3bswKc//elYnViz2QTnPHRkFbsDzE9qXVcxzAPO3vzmN7ctdEcLnOn1WXmPQXfmgXYn/he/+AVWrVqFH/zgBwsaE5AfnL3uda9re292tj0anGZ51BoXUsuXZu973/vaBEGe/exnh5/nBR36tt2uV7IGLA84O+mkk3DhhRfiZS97We7xKHDW7by/9rWvxeTkJP76r/86Nn7HccL5rdcI2rbdNq/zio5UHJGCAwDejHgoWL0mrH4LPSdWUF5TSm2YCwAV2fiTkqiOQYEzn1Bsk02Wfzh4HGQafqaphxCR9TD/uO/OsBbqM3dW8JvRIvbNGaGan263XbghsS/xrwJnbYIkpLtwAgAQm4qCdN0qFqx+C83DLczcKdclLtJrOI87sU8/PcC64QD/dHEVB1YO4vr+ZbjquFMBxPvsgOVoig2gVCDwqIF7i30gHJi7twqQFEAUiDEVlxdiPbVUGqLo89b595qSxcqqOTt+mfj+IUvcH63DLXC0N39lTSYUJeUYVc1ZKQHOuASnPYGHq3bfAvLJbbjt5bejuk04c6KuIvscUU3ZbcB3UfcpuBfvBxc0A1Q1oYQXbt+G1x24J2w8a/aIY181IlPkOjhqxCC5AD6xSMjQnlSfCt/3fZFiOHv3HFiLoebHj01Jm9dlp1rVz2+p14CpZL01QO/P+bl65RFCQCvtGxZkSiDrE2tH8r7XZfRLq4sYOLsfgHBkt+xI/+HhYrtKXtKYz1HfXQ9BtUovVaYc9LR16OUbLgDTAyCJmrNkSqFFkS0Iot2DD54r6rituhcTRaIWhTNoh73QqvdWcfOlt8TbfRAK2wCeuaEZWw/8UoJB5Oh6zcpS8XBWNvsqcIaTxqM6fOaJ+izWCNoCEaov2vcGV8IuGbCMaH1SKqTP2X4v5u4SNc1jloOC0Q4YjYIBo2CE2N8yeChMZGhFgpf/dADTt86Ac+D6e9PZSVUHV9lQCaX6wyyLRLaVmN9dgiDy4aKYPluKsjQ9AmfEQe/JvbD6LSk+03k/RskIP1ey9YWUxuHWoNU1CEIIwpYeSQuKkS/pao2wi8zHPz14B546JVhh1YJD1cH99ektrBkMcP51dwEc2Pt5ke2Qp/Y1T0/Gh6LlqpTbsmXLP2zZsuXCLVu2vHDLli3uli1b/iZlm/Sis4eJveAFLwj/NgyjqzKhXnf1uMc9Lvybcw7Pi3JuFesBLBycdXJolSP9y1/+MrXO6WiBMx18XnLJJblUG5OMWLKv2IUXXojdu3dnsmvdLC84m4/paaFAPnCWlz0CBKhfsWIFCCEwDAO/+50gogkh+Pu///tw3nz6058GED+2+cj655XST4IzVaeYBc4cx8FvfvMbfP7zn889HpWWOz4+jic96Ukd53TyGHVwpkz/27KstnmdF8QWKQuZs/qOOg79MKrhVA9ovfGpsv8+ZR36z+qT20XRWDuInKJ3rTwdH116Ir6weD3yZHMTg4iHc784NovzmDrc4Ijqj9U+HpZ4EIbMWZgikvgCR66V37BFVF8pbwEQ/Z4GbBgWQWvMDfuJeR7D9nEzTMcEgHIPxe//bg6vPbsBq0DxoeUn48ZewTjo/ZE546GjkmXqOHYVRH3C9M4GABKCM8VSsVYgVMN64mtOQ+tpl9VXTbF/RkbEdbHM6pmwxFzzpjyhtln1MXOHmNs84Ji+dUY2zOa4bruJd/5UzO+yYsgUcyaFYJ4wfUDU7N03G1NZI07380MsGh7zgN/CK79expYDdsxpnbp5GtX98TXhydMHcPGMSEdV33ckk9Trp4s65VFrBKScvhz706b2hxFwPxDnhzUZSmtKMZXCPf+5F3s+K2pflTN9Vyl63vImC/etlN+sPjOXIIhQRW3fUAkuNhMCEW3brSlh3T8cr7EMHHsPivk3ahVQWBGtPcNl1n1MgRD82HiuCPCdUptuYxEBhOp9uk2bDmxNhVUpdSog6SZ+3EwBHrqJY5LpYxawyxHpZ62x+HxxFjthGvGez+2NBUcO2EV87gU1EAJ86hmzuGRj9F1WTknv7HJ+ynIeXrM1CoA+aX9U/8c8ISxj9lqwB6P9H/rxYez9gnDgq4YJ2+AwDY6WvLcXe018aMfvY781YRbgmBkiLhQAOAJOQqXZT14XX3tHJxgIjRjypIVzt0BD4KGYqpFios+dvJ5dsRkQgjNDKpCmtBIM24SkmVk2I7VOzgHOQ3GRcDxFCqNEu/c3lM3V06zpRd/90dZofaYAzpuLhH4s2SxbjenC1R5u/vt2YTB/2u/epubhqQfySBPqTvb0pz8997bJPkytViumCviv//qvAIB3vetdufc5H+asE+hKgoaFgrNkimaec5P8znxS8vKakkw/dOjQvHuwrVmzJvb6bW8TGblXX3117P1KpYKjaY9//OPD4lXGGC644AIAkSiJUsT83Oc+ByAOcucDztS23frIJUF0J+asXq+HjPJCWjIUCoUwHfH666/Hpz71qdTtkuqPKu2yEzizbbuNuczNnNk81jB1z3/ubdvGT+kxtO/UZaGTwwMOX56PkhJzIASDiw38bHCFcAYileeOppy94Mkrwvf0HmaOfI4l054AtLNbibTGNnAGdH3AAoL14EGUPlalJtTznQccQYMJIESAW9ye2Jh3Fio47nhxbpsHGigk/LIXnqU5/Uz8VjcrSFW7vVKe/8HtwvETaYMc9b0NjF43hsbeBqhFETTi50qBLuYy+FlpjXK7LCn9EYkVplRa7LQHgKPxYAPulOx1WQtQ3y3uv+ktU/j8N6N7TUWljaICZ/G0xqQZJaOrE0JtGrJUSiXtNT/ti7EuQSNAY6J9Th8nBVMUOFOg8dz+aP0YOC8CSISmQZyUMVkE1kB08SvyuD1fNDNmnmiwzLU0uUM/PBxKxStnem+hgkCm/KpzRmyCtW9Yg74zenHcy47Ll75kpINKxZxJUbq2tEZla/5xPYorirGUtDlZT1mXqW7K+nOoNRIqGvQObO4HIMD57GxKKmoHxzpGnJXiE9ZLuHdWZ+E/YVQEpTjnsM2obYVfzXi2Js75las3wzZlsIRxWAWt5qwSXwQ4R9fm8xW5tHvazXi4EK33pdVFlFaV4Iw4sAfFvcg8hj2fidbySdOBI9UalXrkcyb2YH0z7uxXDROFDHAm1kyCrQeMVOYMAD76u5Jo8eEKhdj37roZp8t2JyaTafJUpuPJdXtdcw4OC1A04teYOjRJpqUMSvxjSJESsxkxZ0lLS3FWZpQNce3l5TLA23poFpYWwobc2WMiHTUX9NP1/74TPZieM7Entp1ZksyZai1T9XHfe9rVUsVGXW6yHOzaQ9EeAWc5bXh4OPZ6x44dHbYUDqVyek3TxNvf/nZMT0/jmc98Zu7f053qpz3taakiE93A2dFizhbSs00d/8jICKanp/Hyl798Qb+dZX19fVixYgUajca8674+85nPxF6/+93vTr1GeaXr89gf//jHjlLyV155Zdfvzwec9cheLN36yCUX0U7gTMnZm6a5oGbm+piA9pYRynRw9pa3vAUveclLAHTulWZZFiilC2p0XbF5rEYKACZ+F2/tkOxzBgDDFa3egkXR2LJ0PJcNAq85X4s2ky6pKZAPfkrgFAm2VEQfOV1F8C3fF8eX5rwnWRUF9EJwlkYk5nBkDYeKlEOtd5aqFeOBiMRyn6Plcrzr1xW89sC2UFxj78lLUZS+GLUpbI3EuvGNszhxie4o5EtrVBHQCanYGMyJxsVz26poHWrBPdxC81ALzOMgJsGuPfFzFTJnjMN34qyabir9MSsGMdIv/lXgLJjxwHwhCx+meDEugAQhOPDNQ3jTli3h94t+ouZMOiGkgzNmlrIlrAGRzmoNKnAm5l/NFe0hpm6egl/1haOd4ayYlTgAesxQ9Bxa9Yrjot8ySU6ATzF4QQTqynJO+54AryqwYHRw5pg86DWDAQqyP5lqnUBtir7T+7Dxn09A3ym9+dIa5TabPiBFLqhYAwsSUCjZ+U7pzE5ZXiczGrcjqa4GNWNprcUsFkYZFU5632m9GHcKGPGaGL+9nSFIjodKIGJngDM34d6ZlGdeM0IIjAIF98X5UE3i09bA8Dva/maKDsZNJ2r7xhBeMwDwiol7jne/7+c0Zcndksmra2s2NWlbu5NGojn0pOXANgU4bWX0EGlSQ4KzTuhMxNlqLgnBWVLpteECLY/j//2ohNcd2IZN9WlctedWAFqD+YIAQlS7D58wdQAlkrjGqj1E1ikiAMAj5kyin3Rw1hlkh3NH1dVxjq+cGAdMQxcO5mocLrJA0j/78s0Orr3Fxtt+VOyYMg0AtgwSqVYcc9uqmLppKnXbruNZoL/y57ZHwJlmWT2b5pOSODk5Cdd1YZomLMvquu80+8u/jPX6DmtwdJsvOEum7OW1xz/+8fP+js4czvfY52MnnHACgGywnGZpqW99fX0xJ9+27VxNlpM2PT2d+r5q9Jxmem1iJ1NzKY8pxi+tR5hu3cCZOk86OFuo6edSB2q66Uzl+973Plx//fUA4seeZM708epj7mZlp/1Jc/DbB2OvQ6EQLV1J9fABALAouq8e1EaiJxVHLq0CEJOix+JRc2Mt5/++MdnMNQ2c2XGHQzmg6u4vppQ/5BmPUTEFs2ESMCKU6TzpJHLGwXyOoMnwsV85IHuquGRqX1g/QfulsALnoI4RMhMAsKiSeHKTnHUBctDKaeT1AGavCXfCRdAM4E17sPotBE3Rn+7aG+LnRakwggOe3dlJU2yqlcHmLZOxumkJFNmMB1b34U55IThjPhdS/jr7Ks9PIQHO1DXsVIyfJ+0THHBkmt+g1wI4x+p+H3P3VdE80II3I8fRoWkygLD2SY3LnRAMXHl9OaaISS2aC+BTm4JSiolBcV+XZTSeOwaKK4uwF9ngnIfNt5N2Y6/IjjhpxA/9vYnfTkZj0I49ryAIuHD6jJIh7t/DrTCQIIkHTP1hOvX7trpeWlqjI69lnZpY8UKRAnztorUoW90FL0CFkAcxCHZLdeXqfbU2pizZW7D3H04Uv6+nNSbBWTKtsZujD8DstcBcBtuMmsSnpXYr0wHxgd5egBCRGgiAg8PQgFPdSSxErPt9f9r66PMfDorggNMlS0ax1cqqhgVHpjUmg3G6NaiJgpmBzUjEFqs1KJn6ZxGGz9wimL1e7bNHzY7i9VIYQ/XZ0+ulCDiKSXBmyTTTTHAmLqoCZ/VfjmKR2wjnsW77Dnem4VRQBmHQgWH2R/FnoWqG3jWtkQLtvS4ie8O3S/j0jU4om59mpePE87Yo++K5Y+n+9+JLRroHrRbusvxZ7RFwplmWgl+eBtLKbr1VREpOOOGEedUj6XbZZZd1rceaDzhbsWIFhoaGFjSWRz/60XjhC184r+8ocDYfQLEQUw7/hz70oY6s1GMe85i29zqxK/r7w8PDC4q6JNNcx8bG8NnPfjbzO6rR99EyBX7mA86uv/56/Mu//AuAbOZsoaaDs9/+9rep23Q633rtna7WqOaXfg/MhzlLGk2wUCpqfHh9JEde1IAGZxxNI94AlJjxlC8S/i/bqEWwdtAPmxuXWXvEOjWtURP88Kt+WypMO8jIp9Zolg14EmwEMn9KNe7lHIDPUd9bx937SBvzUVskQTYTxd2Otgwo5y0ykgt8qKlRk+eHNHwQQuAsdtA85CJoBKAWgTflglgEc3NxD4FI955QwLM6z+NDRDgGPRlEdTKtkc14sEcKCFoM3Je/Gwh5bz3V7bMP/A4jbgOlO0XD3rCdgXRiKynXXBx7d/YVAIxeE8QiKHCGAgvQa3O0DrXQGmshqIneb95UZ4Vce1gcj2LOVN2bUTRAKMGav12NkacsiqU4Zhm1RU3gKimgotjlekBgOIJB+NaveShCoNslJz0B95b68bwzXHzgklqbI6+nwvKcc5pQkdbIGQ8b3M7cOhulNXoEs1vT62F/O7AkHEPYsBcMg9I3aBgGBi8cwjvPvwBfXbQWJStnWqMp0sACCZrdH+/Hjv/YGdtu/FfjsdeBrN/KZM54gjkzeFdAbfaZYC2Ggsm1tMaMzBntmkzIdVc1vCeExK7RrBkHZxzZTB4AnL6R4pxlIkCgmO80oQplQSvAzg/Fs2gedMqCuW/4aGXQ4Q3DCBnUjibHOxeCs/hYfrnbwXt+3x7QfceDd+CC2VEAmtiF9qypGyYKNL5ezd1TRbcJRCRJpdQaAeAde2/HWI1i26H4sapU4TQL544WdEhamJ7cLShjkLa7mabsT4l/pJlq06IArAoQ0EL8mPrP7MuRlSKyDnIFuB5C9vAa7TG2JUvSe6Toct55bOvWrQBED6iFGiEkJjQCtLN3SfGGpOngTEnIL9SSY+kmwqGndR5LU8f+s5/9rGNNX1papu7g66aDg4XWm913332x1095ylPw6le/OvM7ndInF1LfBSwMnD3pSU8KWT/VJ02BMzXXjuR66tfhv/7rv1LZ6E4ptHrdZRpzpl+r+UjpA0C9Eu2PauIanPOQ9XjFwXX4/vr1uPz482L1U3pao2LOqEmwfpEOonguVSmr34I954bM2UUzh9q2ObEx3f49zQGq766HaV+hyQeuO+XJ9Kh8KWlmxYQzYotGpzKiGrQi4MEDjqAWYLpOYk5PnRpgvZLdCsSxFzSFvDTihuaoOVNPKxW1prJAyOwx0dxbB2sx2EM2iscVQQjByTsTkV/VnJcDXkZao0spKjZTrcdSTa0T08rhnPNg9ZqALxhFQCgjcgCHfzYafm+Z28AX7o+aiCuHRzn7pQzHMxfb6Riho7W5Oo7ZFoFfDeAsctDY30TQDNAaTRf5ABDW7SSZM0NKW488aRHWvGa1iNTnWJqoFJUxpSP6GDmnZ2W62j2HKH709fZnyc2V4fCA//qsFvqL7SlwrKmryuRPXxIS7BxFGZ3f/ek9KBpRzdnM7eng7AsnnBztQ3NiX3NABHWXuA34DBglNkBILnBWWiXr1xjQ0AIGs3fGx1C9N36OPBkssTOYs03HJRziHClphcUOmBevOVO9xNJMB8zjpjif5TB4xWNjGl6SYPhz1C8Ri+Cxa8RzoiFvyCG3cxZTdXt0npb+xRL83VkXoGpYsA2OYNzNTGtsUBMlM7v9AbUJNg26GjiL+4W7ZrsHo6msnbT6LLBy1E/QSaGbeDdGWMQaYn3Z1rbEs/ry/4r7hcFM5+sYgiF5PXuDdn/X6jPFeLpdM0piASmg/TwBwPPG00tRxs3oeazGo9oiJIOntEhzjCdK2X042cNrtH8C+853vgMgDqwOHhQPedu2Y81uO5lyJBda49Vtv4AQjmi1WiCEdKxF0h37Ix1LMr1PNcjuZH8q5kw/rl/+8peZY9EtD7syH2C0ffv2NiCjTDGpWabm289+9jMAotHz3r17QxGOb37zm7nHAkRgpVvNWae2Ea961asAHF3mTDXqVpYmdNOJodbfTwNnShwm+XmWVWQvno+ee3b4XlDzcdff34OJ30xg/9cOhClqDcPEt/tX4sFCJcacgQGudJRGPDFGWjRw/toAn7i0ht+8YRYgJFfaXnmtaK75ggvFNdlUn8Zp1fg5O74RB9v/07cEMSV5QqIUFfUWJWgebKJ5sAl33BVRzRx+rNljwl7kCJlqS+yzfuMEGOPgTEjSB1UfM00Se5BUDQsFCbY4E/UQupPWdlsR5JNEJgQ/+MeDOHGZeFCbLT98HyaBXwtEHysJsE/cG6lvbqkM4QcjK3Hda2ZBAHhWZydt2rTRY3d3rG9/v4tZw0YAADUfzGeipUAgGt7XdtfBWwzTN7fPc2W2BGcqja2YwpwtflpOVp2LVD9fpi9euW8rJl0D96ACbhARaPA5vA4pQkDkDIXXS86tZMQ6T48qICro9yQD/eTpAzAZw9YDJgIGjFcp+qV4ybWL1obf87R9r18ke70l5kiYpgmIFLm8yzUVKae2JlSyZlTcZw2PoPFgegZGSWPa03pUrWjV4DOtXUJW/ZK04vJiWL+2cTA6nkAr0kymnp/wzg3wmfx9nTkrRy+IQfDi8zz8x7OjFL+q2x0MCWEIIUC0tSzY0YnfToJ5DJwDt+83UNWmT6CxaocNxZyp8cbXootOj58LTroDakJIWN+pmLMNtRnsezA9iKE779aghXEqxmSbgE15rO9a0hrUwPEDQTY4syg+97hxzEmgeEptMn1DznF8Mz0wqq+FwekiP3rEa+I52+9t37gbYS4/00V3lN19KH6s7P7Ogdokc7ZcUwqunFjB8ucvE+0Tctz3xEBM4AcArjhwd4et4/ZAoQdvWntO+JommLOkRL+q6c0eEACqiS89TOwRcJawU08VfXh0Z/D5z38+AKF+qAQK0kwBEcUqHSlrtGLFithr5czeddddOOOMMwCIHludbpajCc76ZT68srvuuitz+z81cwZ0dsoVONPPR14HPq+dcMIJ+Nu//VsA7fL03WzJkiVhyulxx4m8etM0sWrVqnCbiy66aF77zMucuW57NG3t2rXh9VZKiIpRW2iaLhDVBypLk9PvVNu5dm3kuCUFQYB4Wmj+mjPx728OFlE4vR+AiFDX7q/hgQ/sxP5vHIhtr24znXTRmbOT69MAhIIYAPzVGR5OWsJEs9Ic4MwZcWCUKDZcELGAGxtxx74vENereEIFh6wCPrl0Y7z4myDmdIpBAu60Jx508mGfl2Uwigaah1qhk37uHTvxh3/eCWoR8IDBrwWotiiGvGi9rFITtsnRGmuh9kAN1KGZKSWcpyhOphkFTlnt4XmP8hGAwPQZmEwhLCwuoLy2LPfHYw72uOngnavOxJPPAs5YFoCYBG7KurTbqeDGdStxa3kIPTbres1OWEnQW+BhupY35QlnlEk1yzlfNEfOMKWOqIIAybur99QerP4buQ50uWTOEqdN9fLBaQOXXNOPa7cWENQDsGaAYDo9C+S2Z24K/1ZMmbK265NDgRQQIMGvBVj+vKjeWcn2f+mPNlpBFFWf1ZRTq9rfqkYxCc7Kx0drf952DIBizlhs+1UPTqDXd2Fvn8TcdhHQ2vShk2MeUllLtlAgQK+V+4/lmxBo4CwWxMkwKp3ZoVK0r8kZjgfGxW+M/jySGF/3D8ej/8y+sE+gbcj2PbM+7P7onNEChWUSvPjsaH13zO73vTguDsfk2F7sw2hvGf6saA9x/b0mnvDxHjzncxUwj+EPz745xugdpGLdLYXniccYHWcgfs8RIFfd4uJhsc1BO1JpfOH7259DPOA4+J04W95Sze5NDsNAdlojNbB+0M9uN2ATLOljWLdOXNv1zTmcWR1v2+7ExLqt29CFg9H+5Dx63vgurJ2cbv+98H8dxiPHmgbO2radEs/WO8pRSvK1i9fihHesj9Y6qTT7ssP3AwAqGys4+T0nYsULZDsV3j0I4s0GaDzYgLM4ek4/ai5+jvo6tOh474pTMGlFz+/kGpwMEonWGNnGA+Sva34I2SPgLGGKKWg2m2Fvp0OHRCrGm970po5g44ILLsCFF14IIAJnR+LIAqL32pve9Kbw9fT0NOr1On7yk5+E72Wl3h1NcHbiiSfin//5n7Fpk3iAb926NdPx/3MwZ51S4tT7uuT60QZnQLwnmLI08JM0XQlUzZkkqzTf85gXnKWBIR2Iq5YDKlW3UzpoHnvve98be61aCnQbz9Of/vRYTzX92ikgpoOzZJuETqaXHVXPXdp1+/GaVC2M1Zy1M2eqcDq0nMwQIMBQaWUJpTViri7xm2HhtMlY2Pts5RvW4BUbLkTNsFDTphihgDUUv0Y9J1eESIl03OfzkKJFCmoTWFrXaHrHJMxeE5UNFdhDNgYm53Dlvq3h57dXhuCYItpJTAqzbIB3jbbm8fQJAILjl0d9hgJN5psYBJwDB38+jjtf1x48orLWiNo0TAsDgC+NrMP2Yh+uXH0Wvrp0HUAIepzuEWJqE0y3KPZIFbmZ22bDa9862ELQCGAv7ny/LHr8MNxJFzzgoE76b53wDtVgvDuTp/cUS9pX7yhicoaBHt+Tqr73ltWbYZ4UCTclwVhSEQ/Il2ap+qH1nFhB/zn9AIA3HbgHp9Qm8dmbHEzWCJZIGX8dnKm/r3mR6JkF3p4aPPCo/vBvznKmxkKCM4+jsCxyAlffdwhfu/fXWPvtbfBnfBgVA8UVhZiwQUm775WTWGA+puVY7y71ww0I6jJYUjR5rnPEfA5v0gO5eAl2FsRcGvBdPPiu7Zi8cRK7P7kn3HboAuHYqwa+JhW94hoPNsJ6QX18AHDtS6p43YVNXLSq1dXjoyYFMQhsIli/3UP9AIBD3zuEbd8Zx4pWDYd3tDDx64k20Yf9RIEzJQhCYGpsntXb/gzLc36WjIhBj1uFULGxL3DhBUC1JXrmNTxg39f2x4RceMDhyqluG0Lrolta41Ap+z4rLC7A7LHw/KdEwainS4Va3dL6UQLAylcch5GniCwPtRZ1sp5N6aJZMSOiJjB5bxQCH8Pl6ALVZ3wQmQb89lVnhu//fGA5+s/qb9utaq3hjKSsX93SCIlYP068Kh6MXaGxcaua6Rk9U2bcL0seF3UoVkrV2PLxJdiL7K5gkXvsYanY+Ag4S5hysKemptDT04MzzzwzTA3727/9247g7Kqrrgq/e7TAmWma+OAHP4iLL74YgKgbK5fLeOtb3xpukwW6jiY4A4B3vvOduOqqqwAA//Ef/4He3t7QaU/an4M5u/HGG/Gxj32sbRsFzuYrtz5fGf00cDY6Otpp87bvAdH5Uqm0yuYLzvKqNaalEernRoHxsbGxts/maytWrAhZaAC4+OKLcc0113Qdzw9+8IMYc6iPQZ07HeAmGbpO5rFowa7N4/zqitBBzYebuM91x0ikJOVLawQAoyQUElf/jVDvfNLkfnxt+6/Q77fw/x68I+ylVtIarjZisskkxnrcUR4Q0s0WBZXpU3nqzZSZBQNGwcDoungrkdrOOqhF8avREp6wf2/ssy+NrBOiH5SAOkQoAGZJeIf/yzZROwCcvI6GjXa3/2u8vvObt1u46XPxe06VpwdciFNQm4IT0bLg7lI/vjm8Gm9eew5mTRu7J8W17M1BvioAc3NFnJv6LuHQMI9j4neT4H42I9h3Ri9aowLE0Q7qkdH3u+U3RbbihRFLpXos3X7AxGnXLseqfx3A/oPtjuOcYWH9IgZv1oc74bYxcEknkrN8Ahzc57D7TKEkuShy9M6eG8f9Ywau/LqFs+UY50wrbDp9Z3kQf3WGi6edJFk+jjD9DxDqkbF53MXRjR+McNx7NlbQe3q6Gm/vKb2xa8cQT2ukJgUzCAxE/Q09SvH6b4ugStHiMGgOKX1IgZppD86QjTeujRR9S7tncP974yrE398qRToUc2aK40n2k9PTv5600cc7n9IApSSXk2qUTVgSeR0siefI7NY5nPuH+/HpB27EZx64EVNb2pmhUVKAQXkoUkIAEO2a0AQbKyjzrsMJxXcAYHtJBBDe9uCdeMFHLJx0dR8e9cEenPP+Hhz4ZvyZWVheCEGsbQC2yfGg09kPmjFtFLrUnNkDFjgHRlZEG5VT6kTTwNmMYWHpM5eE12Du7rmYmJOy0uoi1rx+Nda/9XjxRpc0S6vPAmuyWGDmjNpk+Fxwmwy3Xna7+JtQBITi5esvwJvWnAPSGwdf1nNXxV7biUCfqDnrnkZIHApnkQNbA3cXajXU582JNbr3wqEwIDFnmGHqarirxHPTKFAsfeYSnPO9zdj0wZNl3WL2eJiX7z58qNkj4CxhytlrtVoIggBbt26NqSJ2AhuFQiGM4h8N8QTdlKOdVh+UBbp0luNo1b8lWYluIhzHmjlLpsa9/vWv7ziWpEx+J/vFL36B888/v60XWjdT1/9IwFknQL9Q5qxbzVkaU6WDn8HBwdQar4VaUljnZS97WdfxJB2KNHD23Oc+F6effjre8pa35AaQL7osuicOV8rtdTXSPrr0xNhrxZz5NdE3yjUT4Ex3EpmI/uWN3DmLHQSNAJWNldDZKnCGr977GzxKS5+xtboF9RD264EAMJoTO2dYEpBozNk8Vn1aNGD2mVj31/FAxdj1Aqy/6+dFLNJSGm/sGYFPKabqIgJvlE0YRQMs8/DzOrFio8FhIxT3qO+Iy2a/9pvlNuVIpTzmy3RDYhEwDrxz5Rl4y+rNqaxeb7F7SppyPCctMd88mS4Y1H14M75oN5CR1mj2mCAGFbViHZgzZZzlY2EKIw6GHxcBadVjSdm6xiyWu+1p18uXE1yw1oc/7YraPTM+SUjCieQ+h5nChCTNXmTDKBmid5bGVM3IVFC9LueAXcI/nHwuDly6Ebf0DMOi2jXgiPWFSkbU55XWKKg4AMDip6bX81m98Wd3QEgMnAEAk3WLKlDgEYrrtst71pxvUMYQbHOXm/NN3xXgz5W+vymyEEEs0saYxyxHOpqy4soCRgxBx19np5+f2n3x50rxhAp8SlGy4jGEwtICnCUO+s/ua1sDOcknTDQyEG0zbUTHuPquA6h7BHumDJy5+0Db90pn9gMQ7CKloj4vqRj57aEIjNQtE0Y3AEsBQjhoOTqZvUaAx62PP9eeMH0w+U3888ozwr85F8ErIyWgwDkw8oRFIdOYNR6jZMAetsEDjtM/eyp6ThK+4iKvGTZUP3BvM2xxotbGw3YR9WU9+PpL40IzdCT+7GxLl8xTc0YAQ64Xp33sFFQ2ijGdMzcOhwX4+AM34ZmSbSwudfD648/Ds098HF684TFtAah25ky2spDb5UkcLixxOmYUPJTt4TfiY2xpjp1iH7LAmeM4beDsSJkzZVnAKuszvfZmocqDSUtKvqc1f7788stD+fpjzZwdPny46zbzZc4e//jH44YbbsCGDRs6bpNmav8f+chHwnTGPxc4cxwHpmnCdd3M1Mo0MJQUmMkLavNYEpwdf/zx4d8/+clPOkrs66aPQc3xTZs24bbbbmtLncyySg/BGy4UjuqbflDBzEmL2rbxXrIBPxuM134qtUbucVj9JvwMcMZz1pspswYscCYePoWl6XP0quNOjb1uyMvb2NsASJytmTMscJ+DWAaISUP1xNzj6TdhVkxsHGH48bM3R7/5oABkx7WqOKERBUiUkMPBacCbdmEPWjL62vk3OXKCV5HV2MaQvPm/xHz40h9tUM6x1IuDj1/3CRXegInWCNSmQkwsQ54+DzhTUW+l2Lh9h2Q115Rglg0wl3UEZ+UNZZQ3VETxPOcwUlLy1r5+NQCEbJ/V330NKB9fTnX4lL149IHw7ys0luaTl7kwqACc1CJtKYJJBpAYBHZfDmU6k6KwogDmc/Sf3d/2+TKZPrXTqeCQXcJUsYiZ9aL+1tB+MqgHMTaPtoGzdgDZ0QjAuazV6XBOv7+jgIBF/Q13FnpiNWdABM6UeRr6sQxZlpeHpTYIaIHCJtn1iduKfZhtEsw2AT9khHgoBEO132ruj2cgCKYzn7tnli0sKzNUHI7dbgH1Qvuar1osKCs/SdxjZamAyzkXTaYtgk0fOAkb3ra+bR8EyOWB9lSi4zpsR8+iQFtTnjK1L/adRY8fhhfWm8njSnFFfqKt7a2C1T0AQgg4J7CX2hg8X1B6x1tNrBrUrh3nePRc/Ln/331LcV+pT9sGQqQi5V5lyWbR3dKZHQrOOKw+K0xRHPEbCBiBFwBT90cBLL1lxa9eP4fTlsd/iyZEM9JENLqCfJOAGFT2uKTY+C8bQGyCDc1ZvHfXzVjdioC9I8GfSw14KWItyfvHKKX8eJfzY/Vb+Vn1h5A9/EZ8jC3LSTBNM5M5U2zF5ORkuP3RsCxglQXOdKf6aDFnyV5pO3fubNvm05/+dMjyHWtw9sY3vrHrNgqcpQlJHE3Tz/eNN94IQKTHJu3qq6/G+vXrU7/XCZzNN2eaENI1tZExlgrc3v/+98dezzcdNMuuvvrq2OvTTjst/Pu5z31urn2kMWcLMUIIlm+I9vX85ilY+fLjYtt4i0vJr6Eoe+Ewj8HqszDN4nM8+SCYV42X1sDaHmk/14esAspni7qTqy6po6/A8I9PaMrfEelMeqrMnGGJ2gaLgJqQqUTzGI9JUVwpam+8oRKed8LFAKLGyo/ZG6+38AlFX4HhFWc2QG2KyvoKqE1x2ZMJhooB/vaChNPI8zFC4gDFf0mG5De/D8A8hp9/YQrnzI21fe0Li8W95rkc7oQHKpmzLOvNMa3UPTklo/nulA/Xl3L2EpxN3jgVbvO1RWvwhZF1WPnlc7DpfSfBLBkghlAHTIKfFS8/DoueIGtTAg6jQHPPI2KSEFTMJfoBuJpn9UChB3/oGcavexfDUpFlInvOJX4q1bnJed2MogkecBQWO2Hd2WLTxam1Sbz2oJCh/40E0KYhGE5AABxlrQk3xua1BRjkHM9lGiZXgixJ2zFjYfthihPevh4TZy7B1cedlsKcReMJQMC0ieyYHBnCgDGjBgWhJM4UJuzGnpGwVuj6e62QObMMgLUYiCVSdu20GiExQBhd2FllxBBr0BNPEADsM0u6ByldCfxUn7D67gaYJ1hqZLBReZ5r+rzfUon8j+Obs2H/rCT7TWyqpTSKbSw5Z3QlUB1QM8fsCjxUajUAHP93awEiGHPVPqPie3iFFNPQ7cbeEVy0TgO0svVD2jUJMvqRpRktUCF6gahP4Ygv2w+0eFt2gbJySp9P1Y9QWTK9WYHKLOs9sUfU/0oZYaNghCBvfULBUt/7o1b5WDkQ4DmnRj5J8j5Xkv/ReLr3ynu42iPgbJ6WxZwpVknVC/25mbNjAc6Sxz85Odkm9avbsU5r3LRpU1vTZ2Uf+MAHcN5552HvXlETo1+PY1EgqjOVSnwk2Q8uCAJceeWVsYbn+vk7WnMGaE9t9DwPL37xi3HttdcCSBcrOeOMM3DSSSfF3tOP60iZs5NPPhlBEIRNuXWglbfR+9ECZwDQP6Cdb0Kw9FlLsPLlx4FYBKsvX4UPbetv+w7X/rD6LTzzMe3LaKB6MLH5gTP9YWSlOI4WBa59iZhTf3O+i/v/aRYnLBYPcyUIoT9QG9QMU/mIRcF5vlQi3ajMnbJNjpphghPBZGx7+71tDujKYY77/2kWG4cDUMcInZ3hQYLbXjGKfzxtOv6FeaRbEUJAHQPUIvC1Gq0T6jPY+fHduOLAPfj7/XEhkHHTCeWzA05ATSJ72WWfg95yPqU9IEprHPJbeMlXxH3vLHLQc1IP9n5BgNeBwMVXRtbhW4vWQMdhxCAwe6w2cGZrKnec8bY0w0wzSFiMX2ABiLa+LJYpqG9ZvRkgBP+68gz8+3GnhkCIEJlimTj8tpqzPLUn0vT533eqqPG6ZP8e/NvuW8L3dSW+UCaeirVRgdN4WmN7/RLNeY70td9ZbMNZ0h4EqQQ+qi5BYUkBOx+3DuNWoQ2ccW0OeonniWVApKzmGY8pAisO7eyUf3jZSWGfr3/4fgmv/kY5/J3GvoZwhhnH4icLH6S8Pv68V+xrrvEYAMDx6b8STv315aX49XPOaNtOB/oqHVOdEtYKQB0KahlysqRZvpoz/VadtAr4eb+oqTy7OoG3SCGitqbHDonEQBRzJsc2IUUnGATrPWtYeNAuwbHRva5T+5iaVMjLM6AyJdbkq/bcgudM7Am3efdxp+HNa87G73tH8LkXRCCJcy6CaSls7/Bj4wHwXMyZBEK2rOs8f/owvnDfb7HtBVtg3pieXZTWTcTpib/ZNmc4RFPnDHNGHFH3rJFy/kx7XR4A9GqiJwWLY8ub5/CZ50fnqa3mrJwYdE7V2IejPQLOUuztb397x8+ymDMFzpTT+78RnKVZUrxCt2PNnAERCEnau9/9bvz+978PXy+0oXNe08GFAlw6ODv55JPDMehj0ZmtYwHO1P6//vWv4ytf+Qpe+MIXAkhPuUxjxo4mcwaIY+/rEykeelrlmWee2ekrMTua4Kwv5bZY+qwlOOdbmzH4pBH8bld7cGFpn3CiOIC+03rbJKJbYy3UdojrzjkPe8fkMWrT0JkxKu1zodJLQWS0lnMey1QS9WYk9kBtUEM4Zqasf0lRvetmhBJwQlAwRYTal3lCs3fO4tTdiXvfIGJMjMeaflKTwCqbAOdgHoNfkw/rbk1WE0YtAmISPHhpVAf4isP3YeJ/hKhEMVGI7+sOJBORYOpQvPqp2dHpUiHfmF7zDC4UM6mJIgtw2i/vw8RhcWxj/90usQ0IYQIgSnk1ihRmYprpLBBnKRHsDKMGgWEbmDYsWJxjsUzz7PVdrGnOwSUUDxTjQhg6a2MUDLiT8cBNMmWQgOcG1dSM2OA250raAZmuFgQIZeINytE62MLc9jlQOx50ICYB5xxBSzYWz1m/JAcv5uCcD2pSnPrxTTj8L+fhJwPLw02mTBvTDbG/ujwVJe0a+XO+7nvCSzxbbCP/fUYsChgEVgJiVKmJMdPBR55xIaraBJltRvvtccT6Qg0CzoClz16CtVeswYYr18X2xRnPXXcjHGJxH1dkmuIXt7YvlPdrc0gxUI6p2h5Qcc3MdqAf/VD+WtzHrI7m4+97o9KKk+uCmU7+hGEbaPpi34rNU8Dx6uNOw/RgGV86+3QEhOIlGy7Ea9edh0IOVyU5xyoniPPylKIYxzqNGbqufxlu6h3B9lK//P14DSUhgJkAP8ddtgIrL4tnb3RDH4ZjROBsKJonI157sHOnk13ekkxjTAaN8i7XxKSZQXsA2P+a01FaGT2/KWnPvCUGiR2+mbJ+PAyFGHPZI+Asxd75znd2/CwPc9Zt2/laFrDS5eGTdqzA2Xe/+93Ya73n2Ze+9KXYZ38KcJY8NgWOk/3GjrWcqi5OooCaAmeXXXYZtmzZ0vV7R/N8qbTGSy+9FC972ctiYil79+4Nr9u6ddGDPI0ZO5o1Z8oUwNIBbd45elTBWeJZdddBisd/vILXf6uINf/S17b9dc8fR4+OTylQ6E080ExNCIAhd3oTIJkzQsA8hsr69vNx5ltFAXvjQLO9nskUzhDVlNqaEpwRUzi3nOWsg4kdEAF3GSxZE8Pd6HeTe2LyuHnAhcCKfD4LcRAD1KZoHmyhvltLtZlvyi4lqKws4B2ywL7UQbYaiKcteYEAv4QSXPIo4KYXdq5XHavmezR+WLQ2DJsRP27mILa/5g40R1vY9dHdqd8JCR4uzgu1SJtqG4mJyswjZQ+RY6Tqcz53/+9AOcMrDt8HCiH53kpMyqhsksMatNpAVLuTNg8wJFscAB2kuQF89e/ENfR9jkBLa2Qeg9ljtdWNUJPAn/FRu1+sr6J+KT84ozZFXfbCoyaFaQMfX3YSrlj7KHxnaBV+OLQSL7ymgt2TFNP7RTqangbmTXsINNlWjyTBWX7GfOCsftgDtpCvB3DZhgvx1tVn4fkbL8Yr11+An+/sLB3aX+Si1swgYT/FRY8bblfZC3h8TmVY2rj1NgfKRrV+VIGcH5YBeLM+mMdALYoM5XphOT3Qr/zVDG5+hUhZvrkyjC+NiGeWGqmRgGekSHH19fG+a6YEaTuKvfjdpWdin5SB9KgBRigKVo4UOYIQCAFAZYMU4BidxR1vmYlteld5AIRE2+r9MSGZZ38qHgRZ8ozF8fOfYwpRm0ap8BmiMP+88nS8Q5PR140znirtr69LPOBwx1v5xJtM8azpZMaQjec8JT6nOp16/XwYybRG4BHm7P+SGYbRJsd9zjmia3kWc6bLeav9HA3LcoizPjtW4CwJQu+/X+RY79u3Dy996Utjn91+++1H7Xc7WfLYrr32WnDO28QujjVzphqDAxEjpMDZunXrOjZHPlbMmQLu27dvxxe/+MVY77RnPetZuPfeewEAZ599dvh+WhrqsQBn6lzo1yjZ262TpfU5W6glmbOLP9qLO/ab+NqtThh51W1x0ACT4IRAOENOX6K5qk2hnhh8njVeInWPonpfDeWNFRRfvAbvWXEKPrNkA075xmZU1gtngFrtEWliEBGx1hzp01YxcCYUq8qrSxIQ5B6O2K9JwHwOMisciax6LZXexAMOw4lHT4sriuGDVD1wOc/PwITjMQhWlTwcsDsHppRxApyyVDBZjz/eBS0Y0pEhOG6gs/eweW1nwKebEvL4nqb6ZgYMd7zqzth23xtcGf6tIvgitYmA2gYMu3M60XyUCAGR0hXUAriF6F5+zcHtoYLclspw23cixX6Cytoy7CEnnsKVrKMkOVPSEGfOejf1YuO/bMCGt61Hc7N4jtywcgUWDYudMZCw5owywW4ZJQPUobGGxswX6Y4RK83nNa9pgcYc8UCmUj5Q7MXnlmwIwevTP1NBLRBj09MaOQdYJVoLk+DMovmFgIySAaNI4Uj2ctwq4K7yoGCpuzyzLlrngRjiHm0eaqJ5KD01nDPkZ85oxFa0JMHdNEx8at3Jse10wObJc2EbQGN/A4QQEFVPlZHVmBfg2zbBsh6Gv3l0C5wQ/GBQsEsDvou1jTmsTfTNuqdWwHfvFGMqWWKuWBqTWbLRVuNnRst2hhEwj4PLSdpzoliPJ341gfH/F7/nt1SGwwbqQFzgRoEzS8suCChpD4Lw7rEro0DDU0wtGrJ5unmE4OaeRZiy0jNf6rvrmLtnru2e1tcdsV7NA+BnPChOff+Jbe91Ok6dgU5Pa/zfic4eAWcd7Kc//Wns9Te/+U0A2cxZMuXraLEg+/bt6/hZFnNwrMBZ0oH/2Mc+htnZWdxxxx1t2+ZRKzxSSwKG6enp1HqqYw3OLrjggnAsSXCWdf6PFTjLSiu4/fbb8Y53vAMAYuIk3Zizo9W8W+3n+uuvx1e+8hV89atfxZ13iofb8uXLs74aG+ORMme987wtKiWCoBmEKWmEEJQTaY3UJiBUKqQlJMDzGLVF42cCoHzxCH7btwTfH1qFohOxUsQSdQZcewASANSMg6/LzvMAApgVE1afBTGgeY7HIjAKFL7c8b6MXkGBuse4iNTrD3NiIGLSaOS4zffZSmyCjSuB9z69GktFS92WA999ZQ3XvqSKl57RCIU1CIFGYcXty8+exjPPzFeUTwwCAo5rFq9L/bznpAr+cuNj8VlNVCE8JZI5IzaBmWDOYkwZy+6XlrTSKgFaH7UmAphPm4oavv9o8Dh86q/itbAxn4vK9CFt+dCdIi49xtyZCJTArwch49B3eh8GzunHRW9fBfc95+Cyf1sKQzIMAUeosmdCML5myRBj0oIgc3eLNVMpFM6LyYNI39LBk9sBix+apWjI8ZS0pZEYQNCTAc6MFNGSDKMObWsB0c2etcnFo9f4oeCGUTAQVNNre1Q7jTwm0p/F3+paAMAPnWXwNfRyfzHKLHCL4lxYhkqhBopLChDqhhk/lvOaUUN0K3zHUxq45kVVbHlbBMY+ulOULvyhJwo61LQ0UAcB5rZXY+twweSpNVddS87UvSGXh9LxpbB/m66QOXvpenzjdS30F9IPnkshC7sY/aCfMiAiMkwzjToUCES6OACc9J524LO1NJC5D2JSEJPCm4yrcMbmDI+v4Zn70+ZQ0s669gzYg+1+ht7kvZOVVsWf93nA68PVHgFnHUzv53XJJZdg5UoR+ewEuCilbY7t0XK01W+nWRZz8KdizrZv346rrroKDzzwQNu2ydTCY2FJJ2HRokWp4hJHE/h0smc84xkA2tMa087/WWedBQA477zzwveO5hhV8/JOpoRCVqxYkbndsUxrBIAXv/jFeNGLXhR7nfe7x6LmLMusogHu8Zg0dWkgyXoYIBbB3D1zcrt5pu0Zsp8LlzUl6n2FZ5hwgBoPNlDV+g1xIiKdutPp2OLZLlg1kW45H4ESQAADo0AxJ5nEf0tI+evmq/4zhKC0sghncTRfVE8vQEtVmYewRDgek6J/8wAefzLHrY/eENYrpRtHf5HjSRt9GBAsRWFZASCdo/aPW+Pmd2Qp6YTxAAAzVQghB22NCv9kwtkzikZmWiMP5pfWaJQNgABOBy2mS07zQzYxOSbVxiE5R3pP1up65ylyQ00Cs2ygNd4eMLvwRI7hSlRrEnASpjWaVDiHtEhh9VqxGkZw6ZhJh1ukNeYeEsqrS6I5urQlPZ3BeF3Oe915JJQAWp+3JDhz5lFzBoiADO8mIZqwJ270QoAPIpz0pFCKX/XR2NeQqnY5T5CWhnrmivg8MTWP+0EnYq5d2ZrAkVOd2hTWoCXvsQ7HNR/W3BDBKscEnnaSjyUpvcNvK0dCGqamdDvTpDAcEgNn/UWORAeUfKmx8jyHGQCE4PRPxdfD0uoinviifmxeGcDrNK2kEJKlNeZOtmSJD6yzGUUDvaf0wpsSwEpf137buxg/HliBb5/cDth0o5YEYiT5foIxN0m+eco56nui1PUTrzoBlRPKOOWjm9oVF6VpRD+Yx+BOyEwNqV5JTCKyL+I/9L8WnT0CznKYLjihO8//+q//io9//ONhDVaSUTpajvZrX/taXH311bj88stx+eWX44orrgg/ywvOjlafMwBYtWoVPv/5z+OJT3xi+N7dd9+NrVu3HrXfOBJrtVqp/buONXMGRMBB/b4CQGng7Ic//CHe/e5341Of+lT43tEEZ29729tybTc4OBj+ncY4Hsu0xqT19PTEGpunXTMdnPX2pjyl52HD7WVlob1wc8occgi4z+GOu6FwRyUJzgpEONyWkDieLxgCIeJ3GDDSw/Gxv6zha5dpaTtSIIL7HJyJB1l9Tx0EHOXVpdjvhc4RjYDbvNMILZF6V/XEFw/ZJbytQ+1Cg4ltCATAJAlQEj7WNXA23/EAEGpgAP79mXV8fOmJ2FHowQMFsU7/24pTwu1imUQcwmFUzqzmI2w+zse/PLWBn14+J5T/5nHNsjJ9/nuTYNQGigyvP20W17xIA9PgoCUDZsmIAw/EnaL5qjVSR4jKjDy5vW/fgdOX4QN/0YCjTdnzVkcOOCEQc0VzZJ2lTmxOqXTMvEZMAmvQQpDs36RZWKLJEDq0hnSEy2tL6DutN3YO/DlfXFB9rs+nn+CgHfPpHr0mwNVPT5ccb6SkNRJKMLwsXtsZ2z+dJ4C1xDX7yourWDMUnafnndG5R2XFYgiaLGSCaYG2gXx3woVf9eeVzkxtUQfJA44PPyd+TrZJtuzGnhE8UOjFN0bWYP2V6+BKAGvJWjtV2wmKGDbzZr3Q6c7LdlJTrFtZkGBuVR9+PrAcX9l8Kla/ZhW2sshnq3qiDpcYBN94k4crzqniuae5KWmN3cEiIe09AK1+Cye9Z2P4uqiJXAQdwBmXKoNWKbooQRqVlxOvOyN2qipm3wklnPSGlfjkq3387YXNWLAv/AlZk5ym5hl7j8UDbFnGWXwN6d3Ui5P//aSYAEjSlHALIFq1tMbic79T24v/rSjm2Ks1/C8wvVGu7iwmVR2TjuvRSmssFou48sorY+99+MMfDj/rZGnS7kfLXvayl6HZbOL6668HIJpB//jHP27b7mg58/OxVquVypwda0EQIDrneZizpUuXtgGoownOLMtCpVIJAWIn0+dJskk0cGzTGpO2ePHi2H2Tdg/p31Wqjwu1gtM5svvh5zTw1S3xcRIqag4IjUBFz2C0JsxUijAsKuqtSoYo0p/vw4NzmD0muCvG9fwz49dE9C0TO6UGQX1nHUyqI5p9Vsx5KK4qAtIJohYRkvrzBItCZISiT2vMfGd5EP/TtwTnz47iuv5leLpsAjujer6lRcWJqNMDxHnknIMvMPJJqNjTiUsYTn9cBW/447lwWIAlbgN7ChVASmz7+r5ZBLoIITHH/sonNnHROgFSWocxLzC0fjHD1v0GPrzsJFxx4J7YZx/aIwDSP11cw18eV5VpOQqJSAeGAKzYnhobGgfIPDqSKGe297Re9J3Zh5lbZwAAfWf14Zy3LQMxOBrN6Fr+xSnCCQpaol8coSRe55GsVeLzBB42xeC5gzg8NQrWYqm1TwrgBhxojHsACkDVk0BTXO+B8/qx+5N7AAADj+oHELEEovRkHoAxyZoQ4NWPdvH/ftT+nGxI4BHrC0U41qwysEu+/H1PHAhb82TOBPggeMqJPrYddnHVdWLN/fildXzjtvRnqD3bQn1XA/agCRCgvLaEWqKnFQ8Ec9kabeWvFyIE9qANv+rjxCXxY7j6uFPxydV78OG9awFC8O3lx+OD587AleVWtsEBQypr0vZbu3mgBR4wKVyRr27RHrEx0NeP0Z+PCiCRmHtrXrsK46ctgfsRA7f1DOO3S/5/e28eJ9tV1nt/19pDjT2fPmNCTk5yMockZGWAJIAhJARBQEBBr8EYNAQQ9FVyuYJDBEFAGbzEF7zigKJRXwfQ90oYrih6uYGNgpIgUwiEzMPJ6dNzVe19/1hrV+2qru6uoburus/z/XyS011dw6raq/Zez3qe5/cr85t/3rimLVQUwURAshzz/ItjLk/myOVzPDa3shR1vXNREifgr8wwjZw5wv4f2sf9f/EAU89oZPCyZaFZ5u+eI5wKyZcyZY25ldc6W7bXQQAb6hVjAnjpc3zG3fXjlmsX+d4Tmo/+RxuxGBdQt2bFsgqpCQnap7PMmep+U7KQOccpZ8zeZDPUTunVBbk7EQnO1uDjH/84H/7wh5sCo/Hxcd70pjcxMbGyhnezMmdrsVbmTGvNW9/6VpIk2XTT5XZKhBdddBG33nrrhr9uO/7wD/+QV7ziFcDqmbPUGHszyWbOarVaXYmx0wyPUgqt9YaN9VOf+hSXXnrpqn+//vrrueaaa+q/t8ucHTx4sP7zZpQ1ZulE8TSb6es3OOsWpRXxUo1wV1C/aO4ab1zk7ztl2pbG+Aqv6HXvUQWMmwlmvzHH4n3tS4Ltc9oFggoUtfmaK7WxvR4q0Jz97rOIl2Pye/NuYWYDNOW1WTGt956VYvLSCV778CPc+gW7yRArxW+ccC6pXXkanD2a2PNM0qY0ztZXKpROQMHCdxYIJoOOhQqansqVOQH82EXLfOeIZm5JcXSxwF98/yz8vP1bttwsSbALK2z2R3ua37p2hi8+luOKQ5nyLdVdQH3bL8S88b3LXHPeONzSuP2Ppw/Vfz5zV9UGzTFQFwSxwXUwHnBo/zKPZ56zKXOWgO5wYZ3ilXySasLJrzmJr/zMXUxcPM6h1zVK9bOxYOB+Xrx/yfbTKJoyhytU1+Lus51eTqN9mP3mXHOJZPp393K1RNUzZ77XrB5XPFDg7Heeydy355m6fJLaQq0eZKWlu53SzXdyvqXnzGYAFWP7GuewKNPvBFZsopt5ne3Recl5y0Tf9Xn6KXZR/dc3zPLhL4RMFRN+9/80XtNPXLmrp0ErSodKK4IzlC2rVhlRlk7wSx6VJ1Zu1D0e5Ck/bz+zH7Tf81QePpX3D307N3R6vtFqxd5X6smm1jCnbrq/66fzCh5JtRGcnXjdCRy54whTz5hi2W02zCwp3v/Z5jXRfNWei6tx0lRmeffjrcHZ+sGiV/IYOVxm7vGVG54n/ugJ7H/JPrxMWnq1zJnOadtHWWx8ERdKK6+tnfSc1Z8vc8cz3nI6s1+fZezC5uvjr33/AlrBqy5rrI+SqvPB1LDwvRYRtZbMGb5eU4WxPm7tfDXrn/n6FFp6zry8rveWQnsZfZIdG5tJcLYW11xzTdPCNeWtb31r2/tvVuZsLdbrJeu0tK0X1hKcGB0d5fOf//ymvXYr1113HXfeeSfvfOc7WVxcHFhwlgbLt956KzfffDPz8/Zi2U0Q4Xneho31kksu4Zd/+Ze55ZZb2v79937v95p+bxfEn3POOfWfNyo4W+27cejQoabf23nYZQO4fssas/z85XN874jmtjtXz0YrbQ1WvcymSDlz90DbxZD2NYlKqM7Vut5BDEZ9/FGP5N5V7pD22iirzkhSc+Ib9s/aVxT25poV/nRj/Gt36LdHh5qJMrzn2hl+9u9X/8wX3HFt1wOklMubaSsdv3Rkiep8ra1lwPoDavx43oEaf3F9s8DFHe7fpl6gbLlibLMnLzlrkR+Zav2uqa4C2NMP+3zguY+R25Pn2DvP5Kb3wKfG9zcp7R0er6I93bzz78oDCycUVjTIZ3vO0lLDbvDLHjP/fgwvr7ng989bkcXJZzyXAg3H7rJeYrqgG2p9HlBbuVOeJMmqYipr4jzd2qGSBEVCgqLilBNzRVdqVZeiU+T25Cifbkv0a/P2uxVXYtfb2flQ0uxykiTrBgjZzFl1vsb8t+fJ78+jA0XltHG+eW/Cd1v8o0Ldrf2BojpToZLXHCh7fOS6xny+4pQqV5xS5d3/0LyhFfh2k0Zpt1HR8nLz98zXezq1r7r7fAqayky1SYQlZSKTQVcKfvdzIW/8W5txDD03v9PsUuvCXGGbY7vMvtoxedQW4vrb2P/ifex/8T4ARt0kObqg6l5rKaEHfsGrizilH9TRhZbyRL1+lkopZXtWj9A28MgGZkBdeTRLkiR4ec/2q442DspiqfeqlNS2IB3T2JNH64bvWfaOJvyPl7VkV10lRuIleMXm8TedN9xmUkdljYnti+60LBNgJCOekqr96lCT2x2y9PBy3bagla6tYbYJO7RaczBsliBIO97ylrdw8cUX88M//MOb9hrrUaut3kOwngHhZpCVZ29X1rgVY0ozQl/96lfrgRl0H5xlede73tXXmFqzUWefbSWRP/ShD9Vve8c73sH+/ft5wxvesOLxV155Jeeeey779+/n2muv7WssKSeccAJXXXVV020nnXQSb3vb2wD49Kc/zZlnnsnHPvaxFY/Nvp+NyJz99v+jOPfkhJtekPBzl85y+kSF9z13pv2dnaBGfl+ewn4735r6qhJbulcvH4y7k/hO0YFi6aFFqvMrv2NJNan3c2gXS+s0WFPKLuzdBnHlaMVmGNwYVWctA21RnuYHzl3mkj1LTBXbbx7c9OxM/1KbhZlySg7WoFbbUstue/LofGFXUZrqsSrLjy03ldTpvK4LHyw+tMTCfdnzRXeZs1QgIEkSRk4vc80Nk5y6N+FPrpvlhPGYlz9lidxypd7HUycrrNHydppMqOm+JNsr+yQK4opdeLU+3s/021QeWyKY8Kkt1vDyVhmx8KQiZ/zqaRQPFesZtyROWHp4yWZqu1QgBTt/vIJHdbba/DkAC/ct1ksblxP7Q67sNe/c6+Z9hcSVO85/e74epHQ8Fm0tK5YeWqIy05iz//3F85w23fydm680es4qjy/Xe7J0TlO5/jR+/tDFxK2fr+pcur7+mLLP8pGK7adrQ9CSsnjybqfUqHElhM3eUvFSTDjtFIGC5szKeijnnVU5UuG2VzRnifaNxlx2ss2qVWqKWzOZqmSmYjNnqS59yzFTirqSbbff+9x0SG2u/ZpjJGcNs+eWFfceaf7cP/S8I+QP5Jl66iTohtjJUotVSqC6yHaqzoQx2pU1JtUEXfBAqabM2bFim+As6Tw1pDNm1N2QCkxpTzWJ5ABN4h0Jrhy4g/etlHK+muvf9y3PXeDcfVWuvySTzYsTVE6jcpoTbziRk155Igdevr/9E+zQ4EwyZxvIVpY1vvnNb+bNb37zpj1/J1Sr7S8igyJrbDzossZWusnwZOfNbbfd1ncAnlUehWbT8JSbb76Zm2++ue3jJyYm6jL3G4XWmk9+8pP1ReOll17K5z73ufrfr7zySu666662j52ebvR3bERwdtMLFTe90GPhvhD/60f5xEsfgThh4XsaGG+6r/Ks2EduOlzF8NP1XHiK2qwNCjrt9ciiA4/c7hy1uaqVEs++Qs3umFvzWe2CNG2V/4oek0+d4NF/eIyEhOpM1crypwuhDnc+26ECxYiGP//+R/jY42P89N+szGqed777TFS74EwRLyfUFmqEkyE6p3ruGegmOFu8f4EkUYQTPrlp+/3UgSZ/IE/lyLG6QEHhQLrI7HKhrxRe0SepJKhQ8WMXLfNjF9nnvPoMG+TPfj2u2x+kxJUYr5ymO5tfL7tIVG3+vh5+2Ws2Q28dc+ZUWF1O8Io++litHsgFoz6jZ49y5ltPry/Qjt11zGVr1apm0muhfSvkMn/vAuF4QH5fpvwsTvAUVIG/+qbNwoyclGfsvELd30wp1bTST7OzXslj/CnjbQUN1sIveSw+sEhttkbgFqU//ORFfuicBfbc0ugbStUaC15CdbaGV/TceUATZr5M//S6GZ7+W/Y8X43TAKXDsYz6+GM+ara2atY2zATUb7p6wZWjqkY2qKViWRc8vJx26ptdlqJWE4KJgNp8jatOr/LMUyt85pt2fZPz4U9eMcdJvzLOsSXFsaXGi+b8pD5HwGUlswv0VCAkoesAP7c7x7G72vdPKwVn7K4R3etTjRvP+0vXLHDxgWpGpGT1pHjgdR6cKUVdTn8t2pU11hZiW/K+XENpxa886XzOmTtC5aR9QEtbgeo8i+/lNXElgW47WGJbCp+oGC8TLE5f1eKH6Er0daGzda32dUef0U2XL3HT5S3rtdhWa2hPUTpYJLxgvO2xSXq8fmwHJHO2gQyirHGQvPCFLxz0EJpYL3O2FcFZKo/fSq+Zs40Q4Hj6059e//mNb3xj38+3kbzvfe+r90Z2SqlU4vDhwxw8eLBt2WOvaKeAGI77BOMB8XLMW576RNN9lLaNyqtdxM/dZ7MKE2bcLqg91ZWYQ0p+f47Rs0ZIlmPiSlz3sIHUs8gGZbYEzS2G3AJe+7pRxuhMjrO/94oObLYpmAg5d7T5Ylp703mc9c4zVmQ6sigFyXKMX/adAqTNnvVSlpIKgtQW1zaLnvd8/NHA9VI1ByvZbGLzGLorkQO7uE7NyVtJksQuvL3mneSkmtQD7+z6q3hyER1oFh9crCscdtvj5Rd8G0SsEiDMfbtRNhcreyx03qN0SkMQo7UsSTmhEeKkqeyyUwoHiyhny9CKDvUK1csLzgsIxoL6MVPpwr4+IHvc/JJHfm/350mv7LvvkX3+5ceXmbt7nvl7FnjeoUbVw9ElO7D47hlniG0DIa/oc2i8SjmXMFGIOWG8cfwD3XmvDeDsKpylwirZhkKmXC/wXF+Ppq4+2rqIVx6UTyvb9X3QXa+pX/abBBjKuebXXi3uDH233+IymV6xeUNCKVUXA6LLc9F6564z9qw8F+TTPiZ3LLLP8a4X2GN82GVKX33RQheZs84qceYrK8ccL9bwCrpe4fCFkWl+f+9pHG2TK7FZ886GpPO6t8xZLSEY862QVabsuN3n7Y/5FE5cXecgZeSscseZs7YobOmnl5psr/I8XWQWtxsSnG0ggxAEGSR79+7ljjvuWP+OW0QayLznPe9ZUTIHWxOcPf/5z2/yLWsdWydkg/qN6PEqlUosLi5y7Ngx3v72t/f9fBvJ6173OmZnZ3nWs57V1ePuuusuvva1r22oPYIKbOO5Pxaw++ppwsmAG562zKGJTKme53b0Wi7ik5dNAHDqc6caFwwFXqC6MhCuv45StiRJw8K9C8zdPd+QoE5sPX4qi6+0WqHWpVLdes+WX6ULxXYN+p2S359HeQp/3OfUsSp/9uONXexwb4H8vgJz355j5s6ZusJeExriaoI/6qOddLP2uw886k/nK9tX40hqSX3B9Dunns09uRIf2nMYr+yhc9qV5WSCM7fYV8qKJSw+uOgUJLvLnAH4owHx0irnF2cindubozZXI3aNKGnviR0M9Sza/pfaPprlxyssp6aw3XrB5bXNTq7S91R/XaCmFeFUiM43e+StKLV0BudJTNdZKoDyoRL5fXlrBN7yfpSv8DJr06lywoWnr5w/6Xq4eqxKdbZqv7NFr0lVrlOCiQAdaHRg507lWNVZYCh++zlH0arxRdEqIRfaYMMLbTbKK3hMBjXu/G9H+fJ/nWE0s2Y9MBp3pdYIjY2U1Ra0I2FjfsUPL7j+Rfu44omFZqsK7GZTMBHYpFqXgiD5/XnKhxs9PmFmKaOUq5JsQxgCScLkpRPW+H40WNnjqmzJZZoR7RTlKWqLcUsJcoOz9rYLztxj0/FmPoTrL1nm3lue4HM/e4x7b3mCc3ZVbLlzp6y9L9TEWD57bkgo7M+vEERpDeSq87WOBUEAanM15r/bva9sEifovMfk0yYZOa1M6TTbAzx1xWTL/ehYxCUYDazi8DrBWVyNVy3j9fIaHXo2U7fG0m0rVLgHgQRnG0hrcLbTM2dAW9XKQbFeAPTKV74SgJe85CWbOo6pqan177QGjz/e0G1by4C8G3K53IZ63W0kvRhJ+76/4TYNXt7DL3uMnTtqfx4N8Md9brjYLgZeemnViVnoFQuvU99wCuf/7pMpPqlAkhGUUKHXc8NyMBEweekkI2ePoICKW5BWZ6o2OEyDM48VvVv1wEM3lMHANXj3uJtZOrnI1GWTjF8whvJU02JoqrbEwr3zoJVVCqzFKxfMyu7we0WP3G4XOKS7/j1gj5dfzy7N3zPP0gM2o/elvXt4zalP45GwgOd6MVrLqFKFPOUBnmL5sYpd8ELXC+tw3Cdp1/1PI9OpQ0XlaJXF76WLS9XIQCk4/RcPc/iNpzL5NHtO1c6/qiuzXkcwFrDr+6bamsbG1ebAIUYRTPp21zz7tlt6mAgambNeFDbBBWFFH0iYufMYtfkaS48sUVuMm0yBD+1pM0e1YukBG0BXZ6v4ZR/taYLxsKcFWlD28Ud9KrM1qrNVwjHflgD7NotVzqjHFX07f7y8ZzNKibWuIEkohQ0lxzQLc+0pi11nqb28RuVWzzaMBI2Dkc+777tW5PblKB4s2kxiUyDUMJ1X3bWc2Uf7ispR+51oLc9bbU+smLOZ+7rVRyYzCdTHUVuIO8rAtI7HK2hqbfpwAQ6tEPah7uvVlH3NfA6pfHshSEUoOtxQT2Du7rk175KtdpgsZjLm2MC+dcrOLzffkCzH5KZzHW/uhbvC9oqGGWoLNbt55qjMVEkqGVVUT3Ho9Sdz3gfOZfTc1laMLo3Vg/U3AitHKiw+sGj7go9k1EHjhHBXiM65ubTa8yS9b+4NOzs/ethCPM9rkkHf6ZkzaF5Yv/GNb+TXf/3XBzaWtWwFAG688UYuvfRSzjrrrC0akeUP/uAPen5sVilR2Fy8gkf+SYV6Tf3UFZMs3r/ET/nzXPtSxaGgRuV7qu3uoXZZtxTbKuC8xXoMzpRSFE4s4JU8jt11jGDEZ/6eefxRt+PvyiZze3K2gX8xszixLR8AhJNBvf/FH7Flfr1iS5U8klrM2KOz/MvrbXnhnoVlYqes55dsQNrac6OUXWCVDpXsIjjUqGpCkvT2+Yw9ZYzH/ukxFu5doHRqyZXk2Df9pHKV7xyxx8MreSSPtAnOXGkknrKK45kyvm6znamVQT2b4xZ5SZIwd/c8+X05u9AIbUlXXI1RKqn7maXeUiNn2DLdmTuP1YOlRPU2h7RvBTiSWqPErjJTZeHeecJdjY2NxNd4Oc8qtTWVMTYmUW2xhvYUiVJArafMGUDxpALaVzzxpRnCKWtMvfxYhWDCx8sEM7snVz62bmrs/OGCUR+0Ir+vt9LvcHfI6NkjLB+pUDlSIbcnB0pRW6yg/YZMPFilRhVo/LLH+IXjJNXECYk0H5ePv2qWB2cUB1X3Kq2j546y8L0F5r4xR1JJKJzQvGk1kgkWcy7LqbxMtrNlLZxmilW6CdIlStnexdpCjfuOdna8D4wneMXVS5vr5YWqu548oO59tVo2uI1NGKfvrtnPIVM5sKoUvOqu7Hu9c0Q2iJzIBGcK6iXvWRZanAuSWkI41fm5uny4zOw32xup18e0GOMVPGqLNZSvWLhvoa5cC/ZfL9Tkdrf5TsVdVcaiwvXLLJVW5PbmbAWEpwgngrqXnD/i16s+1iwh3ZmJM8mcbTTZ3fzjITgbHx+v/3zllVcObiDArl271vy7Uorzzz9/042xW0sqV+tDW489e/ZsxHCELhg/b6xuuquUonAgz67LJrngNMXowTwTF08wcfH4isepoGGYqZQra9Rpr0d/Y1LOM035dldf5zMmr1pRPlzGL/nNu5qpbH0MwXjjAj9x4Xhv0vXZ8Xh2HEmccHi8ymnjVWte7AQodKBQYZs3rdJddWXNcQNX3tZDnwRAbleILmhy0yHHvnrMfta+pjpf47n77a72nlKtvpu8IiOh7LFKBVtsVhGbqeqyTM7Le9QWYxbvX6x7TdXma1SP1chNh7bHLrC7wLk9eea+OV8vdwTclThTRueOdV3hsscrtVf0rEiAY/nhRbycbpLMPv8pIeGukKmnTtpSWofKBPhz35qreyHhrQy8O8Uv+YRToRW6GQ1YfsyqH3pFr+63BjA+3ub5s4vnBPInFlw2pbfrrFIKr+ThlzziZavk6ZVsNhZPNY2nFNrgXgU24PVHfLdj3zynxgoJp+9xq/8uPyIdaivM4hbPaRCfUvYbPxfCpF4WXH8/mU2jJE7Qri9tLWGYNceT1/WNnCtOsaVnFx2orJkxuuCEKl6mXLFVQTJVlE1cyXU3KF/ZktJVHpdVIE05dVfcnAlfo/VOJV3aH3SQPT40aiOua8/KRl5Owde91JN327+ln3H9XnHSbIeyHtqdK9qQ1BJmvjJDUonxSh5zd88z+9VZ93lmgtd1jkk3/oC+86Vbi6SW4I/4DbsHGtL+XsmzG48eq2bOrOrnzgxjJHO2wYRhWBejOB7KGsvlMrfffjvf+973uu4b2miuuuoqPvShD3HDDTcMdByvec1rmJiYYO/evczOzvac/doIMRBh41BK4eXaX7x00FCmavQsqXpmpK/X9VxwphXBmIcXutJKZ/RaPFhg+dFldHbH2pXDJXQnTNDReJyARDARsvz4MspTlA+XmLtnATxbytmuvEalZriBwvNt356aV6s3e3fA1GVTzH1r1mZ2fEVcTajN1/gvpkY+9zgXHagQjI3bBXfrNVzZ/ymdkGhbQmj9slTXZY1e0aNwQp7qjO0TW3p0meqxCslyQm5/zvYyufdc2J8jqcXUZhsZKOsBZ18zrsY2Q+BTD7J77avw8ppjXz1mM3LamlOn473rd2L+8W9muPryctssQNqfaD2LNNrXxEmM9tSKLGRXYypaQ+FwIqD6xDLaGQzvGoMHHrP3uemFK59f4T4ntwnilzzKl032Pb+9osfSw0vkT8gTjAYc/dJRlIJcQYPzwJ0qJfUSwfp4Mp5ZKXN3z1E8qQg9fu+UZw27Y2zJV3W2Rn5/Du1rRsLG9+SUqRhdcDV66c0K6r8k2NpDbRfU9R7ULvBLPrnpkMUHlvjZZy5yUrnKldOzxMsrn6gcxLz/2qOcfabf1KvWGgw1+jwb2ZpOSW1CVvtuJkebU09/+5PHCH1YTLJljWscEyf/3tlgwHNZ8CZLjBZuu/YR/vmhAi86vERSy9XnTHruBvjIi47wj4+VeMG5zeNPYuobhR0NyYlDtSOu2s2HJLZBvRcqaktWPTVV/4X0PNSeJKFrr7z1MmdJkuCXfGcF426sub5uXzN61giP33Fk7bLG3gtBhpqdHz1sMTMzjXre4yFzBnD11VcPegiADYZ/4id+gte+9rUsLHTfGLuR47juuuv6fp7NzvAJG0fWw8qt+e1isgcxkFZUWp5WTfDHQpuUC5oFQfL78k3S5PWdUKU2pT5Chxo9qlm4Z97tcOaZ/86CLXss6LpRcPMbwfm/afwRn6mnTfLQJx7uWhggSyr5Xj1my8gWH1xCKSsD/oOnLeCXPcLdOVsiuOIC3ygHUy4rU52pktub6zoYUp5i19OnePiTj+AVaoSTAcG4z/Kjy+T25Bi/YIzqsSo6bz+bJE6Yv2ehRT3SLlaSZdfT5YIjO496C0B03sPL27mTZoeUhsmLJpjyFZMXVBvG3K34LsMRgwpdYF2zC9hug9fmMVlj2cIJeZYeXUIHmtGzR9g90bjPuYdWPi5Jy68SSIOfvjceYvvd1aEt7QwnA3ROUzypSJjZiKnENmvWtAhv89rxcsLCvQsrArlO8UesiMbykWXiSkJud2iD+HHNWL5RJnd4dw2da1b6zAb41ozYBTRdioFk0TmP2lyN4ljAD0wcgWWaN4EcNz55lqsOLVM+ZVfdlgAypcNZ0vH2kPEYO2+URx55tO3f1EIj83TJSVUuHF8Egvp3277m6sGHzcx2NiblyhKXHlhi+YkKo2e1UQ1OYM9IwkunFqk8USWeCGxJuHv8hBln+fEKkw8v8bKnVFa+hqI7ISBtM1GzX58lnGq2ekkqiZ0vcYJX8qjMaHRsJf1rS3FTBn/VudLGdHvN4QTeCi2Yldjrhcr0p9ke3cx5cY2yxiRJ0Ds0c7Yz39WQkDUhPt7YSInzbtkpGad2Xm3CcKICnSmba6g1qmClsWe3eDnNxIXj6FDhFz1UTjVMd732wVe6Q50JFzcUndeEEwEqsN46Xt5e1ZVvfWlyu1ZuLChfWYnujFxzMBaQ39Pf91WHmqnLJ5l86gRKJSSJ7R9MBT90YEVKgpYxpcmEdJGvfEV1vkb+QO/jye0O8Zwk/a5nTOHlrbhEmm30Cl79cwgmmrd868fM+QnZkk+bju1VgEOHGm/EJ64lLD20iF+yvWVe0Ro8Tz51En+s/fxMParSMiNrf2DLLXsNFtPnnb5ymnA6xC/55PfnCSdDSpmW4ZFimwcmNGm49xMgptgSYY3OefX+0F1XTFF8UoEw87F854i1AFghupNh/rsL6Ly2Jb6h6skc18t7lE4t1ktaiwcL1JwKaN6H972yxruvOUqxaBf3kxdNUDq1UaZcz/5ms0X+yv6mTklqCdU5W7acWiCkC/kXn91QTcwFboNjhQgQzSIlWjXOjT3sXeswI9lJs+hGtqwx0AlLDy1RdX1f9eO2Rulfeq7oBK9kzy/VuWpba4gU5et6uXdmL8gKJzll0LUimG4y1MpdC/wxn8WHmtcO8bLNxqMVQdm357vQqiF6Od2UOVsrw9rNMdM5bctzWwWJKjG1+RrxUkxtoWY/h4zacNIiOLRWWaPdfNz469swIMHZJnL06NFBD2FgDFLF8ZRTThnYa28kc3Nrq0EJw4PyaS5rVDar5bnMRb/4Iz4Tl0wycck44xeM2UVG6nXUbquzvhDoXumvEyYunmDkrBH8Ud/udOZ1+8VZ9j2UfHZfNd1UQjd5yUSzGXGP1AMszwY0pUMlmzFyYhqTl0wwft5Yy4No9HMpu5CqLdbQQe/Ha+y8MWdSbEvJRs8fo3SyjTR0TlM6pYRSiqJTvsySJLD00JJdnDiLgepczWU+eluA5Pfm8Ms+8UINrxwwftE45dMbG2fBqL/qc6vQKQfG2IVcTuOPBU5SfwMCI1+z6+lTjJ41gvIUo5lWyLZjStzOfUxT8NEPwVjA+Pljzr+s+YuS7Tk7MBbbwDRbotfy+ulC3R8LnNVFb2PK780TL8Xk9+TwyzbzY2XzFTe9AF7+lGW0p/BL1ssu+32qB/hJUh+fdv50HdhyrSROyO3OUZ2xNgPBmF9/X8/b27DSyPt2U6S1J0npVESmMT6l7fP21AfnVGrjpZjlIxVmv9G4RmaPl69tuer8d+abszDO1Lm9ImZ3aoSpiE+7x1SeqLD44JINvrQ1Aa/36mUD05WVsY3RJN1lzJVS7ljbvt6Zr9gqrngptkIgzn5Fl7y6wq/Oa2dFkel9XS1L1WV/VzgVkJsKSTI9r9VjVebvnmfxwUVmvz5rN4sKzgpDZ7K+YXZOrxUwbs71bRjYoW9rOHjZy1426CEMjEEGZx/5yEcAGB0d5fOf/zxXXXUVn/3sZwc2nl6R4Gz7oH0NyvpsNa0rN7Cy2XOywsFoYBcZa5ZOpRe0DSj9WmUsSiuC0cAJGXikfkqDVc9SxFXXS+FEEVa/qyJJVN3MV/vpZ9zfG8gfKNSzYsUTCnXBCqUUxScV6j+v8PrSiuXHl23w4Y5tbneuLwGXYNwGCrWFGsq3/kOFA50FwzqwgVASJ3ihonxqiZHTyi4bsPFLh9e/RHHxmfDen15ttWqPUeKaljYiOAO7AA5GvDXLa9//g3M2w5ZVqWxVbPVTGX5rMNzz+Dy7mM/tzeHlNdXZKknVZlN1Tts+pNWCiFTjPtMHNXX5JPndOYLx7jP45TPKhJMh8VLsAk8fPPvdKhQbY7D+Zm0yPS2ZKqWwj6e3zKdS1tNt7ttzLN6/iFf0mPumvU6GfnPmLBixGeJWddo0o76CLgN+r+QxcmZ5xebb7DdmWbh/kWDCr4voKGfDMHPnjCvPrdei0u6EmdTsuSsr5tQJyqO+eaJ8TfVYlcWHlogXa3UBqbSqQIea0ilFa8buznmtwfTyY8uNvrHYbUJ2OhalCMb8puzmwv2LqLwmGLPvKxgP0AVnwO4r4krMwndbzMD99hsLcSUmrrAp17dhQHrONonp6emBlvYNmsnJNlrIW8Tpp5/eVKP8yU9+cmBj6QXP86jValtimi1sEGm/R9Z3RSvUJkYqylMrsi+NP7oN0NQQexNJg0ZbxjnY/T7lQTDhO2l7VjdkgnpGQvuaxJWI+qNB3+VyI2f05ieoArerX0vwQo+YGC/UjJzZ33WkeEqRpBa3FXJYi/SYJnGCPxZQOFBg4b5FdEFviNBNK+YMxR0fXP156wp/MfQquNEOndOMOe++LJWMeN7Ze2tMXjK5sqwxm0lzvV31Et8es511VUinHpnbnWPh3gXyB/LOjsEjN92+H1lp17cYJ02Gym17QDvA+j3aBbYfBnazI7ZlcvlC4/0VCop2UvRpH5zdtGoEAGuJaKxH+fQyx742R1KN8QqaypGqVf3LPF+gbWmcUorSKc01sspTLgvUuH+SOCGgLubU+FNsxvXol45Sna/hOwVUFWi8wErSoyCpYbNZefddKjaqKdpVESax2+RLS5u7wKoDK9BVdAi1pZj83pClh5dt1kvXGnMU8Ms+ExeNN14nrSbAeqJV52zZod18676/yyv5LD2yzNKjy1QeX7avHSj8MR/1iHIbRVbwqnqsyvw984RTIcFIc99iO2/O2a/N1jOpOxHJnG0wt99+O9PT03z4wx8e9FAGwq233srevXt597vfPeihbFtuv/12du/ezUc/+tFBD0XoEOWphlhauihbq7m6T5Jk7cWp/VtiA8ZN3FmMq7H1hXO7stneikFgvah8u/jRap3MGdRmqy6Is0IlwajXVrlwK9C+FeuwEtpuPJP9iwIVTyhQOFDoyjMJGnMo24vjFTT5vfmeA49+UZ5m/rsLxMu9lcW1fU5XntbKclbZXFFXSG2MpXllrV2fWOFAoa9SZuUpvDC1pdCEu0K7iRDYgG/q8slVg63U/iBeTpqEOfpBhVYoR3uQO5DHK3jEizH5TGtmobh6IKGzPUMuu6683oNXz/VN+mXfBT2apJo0lTUGGnTo1UVRmsbTzhw5XlmSuR7hZFivGli8f5EktubowYhvvR5zut47qH3wyj5+2cMbaT4urZ/CsbuO2UxpD6ch7at6+a0ONdWZSj3jq53fXX6vtYRRoT1mfqlFwCVplBfqICvG0f21JL/fluhWnli2m15aga/JTVvlSn/Exx/xKJ9WtsexlhBOh3WxG7CbRG3LUJ3C7k4ta5TM2QZz9dVX89BDDw3s4jVoXv3qV3PTTTcdt+9/I3jWs57Fgw8+KJ/hNkJla/WzO8SbdQjXK8HRVqGrNl9d/T4bQH5f3i5aXZnZRi2Ye0XnGhd+W0K1+nj8UZ/cvhzU7EJIe3an1x8ZzGVRpYblzmRZx4ntL9wASqd1XxqZyn6nAiVgF6TtApktIbG9eMlyjJ7oP8O5HstZAb02L2WDs8QNLamXsPWapWp67rCxs+OXPPxRr7MMgevPiZdj/C5L4lZ9St/2JgVTIaNnjPD40SrLjy2Tyyygc+Eai2StOXbnMYIJq4RpPb56P3ZK2TLU2nIMtQQvZ4U5gszb9VWCLqSv1fIE3kr1P9vn2UOZpVZ4Iz76aJVjdx3DK3oUTypSna/aoKKWoKqA6/vTOa95w0ixssdLO+XfXjbVfEU4FrB4/xJ+2SOuuJLBUBFOBSw+GDcEgdq9X4316QR7jfGzgWz3AWM4GdQDwsoTFStM4oKytPRXKUVuOrRZ4bzH6DmjTYJS1gJg5XMrTdfZzu3EDo05B8vxvqg+3t//RiCf4fZCebZWP5WwBhi/YIyRszeptHmd4Cwt2QvGgp6FCTph5PSyFbxwfRWbvWBej/HzxygdcmVMbfq6snh5j9LBItqpKapQUzihf3GSXtG+LWOz0v5qQ8t1VA9ldqmIRFJtLpEbGOlnorHZgU3eCMhmztrNIx1q/PGA2kKtkXnZoPO2DnT9qUqHSy4LtP5zN3zEEvwezbnbPKv1LXSLdK/ks/x4hYlMz1k+XN0jLF1EV2aqdYXZfs8TY66kUPnWuLs2X0NXGlYD3nLVqsK2WbxrT0Gt+fnsBkRvYxo9c8Rml3Maf9RH+S4Lnp4P3XlI0eg/q6OgOlurm45XZip1AYxe5nduV47ioaIVoyr59nubJKjQo3BCgfzeRrpTBStVV5Xrgast1GxvnFYs3LfI3N1zLD9e7b7MUivyu0PGLxxzm3h2E0oHzhw9Yw6uA41f9lZsjtU32lY+u/3OSXAmCIIgtCVVAk4a67N6ed0m4I/4a0rQK7f7Goz6hBObn+lQzsA1nArJ7R6clUUwHmSMnVn3Cpc/kLf9D57NAhYOFDZ/kKtQPlxyGSq7Ck6b5gdFWqKaVOMNK5Hrh9KpRdfHo1Cht+mrl0pLWWM7gtGAuJLUBRw2KmAMxoO6BYdV4KNZjGQ1PGvqnqDqQjR9Eyd4mfONX7SbCPsmGumMmWVlj00b0oy60gqd04ycVmakz+xiOBEyedGEW+hrRs8dpTDaeL9h3gZtbasXXOYsqVnvP/seO5fRb8Ur2RJqL++5zKBChYr87lxd3t6KdOA2FzKlsc6HsnLEZpUW7l1EedbTr5f5PXr2iBX80FA4sYAXapKa3cwIJ0PGntzIxO+6Yqr99Uk7Zck4sWOpJa6MuLcxTV0+ZUtzcdYVvhUjyfoGKm1vCyaCFcbbrd+phXsXmL97rl7SuFPLGnfo2xIEQdg6lFZUZ6vMfn12S3bydLiK0XN9QM60dwv7p7SnKezPD6xnq5V2/SatBKMBkxdNDEdTeb0ZX1E6tbRhJY09o1M5mw1c6PdBmllUaeZsk6sLrr3E/vus0yqr2w14QJKQVBObEdqg7/74BWPNn7mnOvK6q5fFsnHZziS2WY38fptV1oHtX/JyHoXAbiScdlA1yZ83jcmpTyplF+fFg0WKB9sZ2XWHV/TqlgWFE/MUJhubGbnQ9bbplX1Sac/Z0sNLzDqlR9vn2dvnZQNP+96s3UDA+AXjFA8VKR0q1bPyaUa8aY4oGvL0tUYgS5z0PL9tQKpQvg3QSqcWKZ7Y+aaT9uzjUwEeHaj65kCv81spZcsZxwK0ZzfyvIItY0zHPHruCNPP2LXysRm1xupslepcldpy4uxkBl9Kv1kMfjtMEARhm9Mo19HDsZPnVP+2sszQetVs2cutTweZs5RuVcg2BYWrRx0O755UjTBJGJqAOy0R05sg5d/Kb71e8fzLwJSWCUdXUUf0dcY4XG1aCbEX6o6+y8pTNpPHBpYYq5asnTNsz+0O+cLPPMF/fr3GpRePE06s0tfogtYkSTY8M61zHnE1IRgN2PuMhnJtEChSP7HWGEd5jR6mepamD/XINPjUgaKwL0/pcKkexBQO5Jm585jtM3N+Z02vkxG0SJKk7ovWT5llGrRoX1M4aD/v3HTn1Qwq0BkvOueBliR9lxLrgraZPGVLyosnFZqyZKtVeGingpokCfP3LtQfk3r/7dSyRgnOBEEQ+sVlaXQ4JBcLd3Ht17OrG5S/NYvmjlmn56zprkNwJVQ6FbEekjmksGW6qVH3EJCWqZVP7937rVPGyoqXPBNg9b7RVJadmlNr3KRdfBXqJnnxtcaD8/fbqMxi8WBLr5Jb+Hsljz3jMHZCZc3vmdY4C4TECkRsICNnlImrNtLyAo3zWbCZPafY2jp302xnWmZ57D9nye/PdWX43Px81vogVWZc2eOGC1Bp609XFy2J7d+VUjZ47PHwpdehXjdUbFBos1Xas8FREtv32M95oPikgi01dcH+6FmjnT1Qp+XVibVtydnetdp8rZ613IkMwSVJEARhe5MaGas+Sj82Eu0rK8fcSZ/KBjF5yURnfTFbhabjBZfy9SpN51tI2h6T2U0fJA3vo80vIewYlwkZhu8YNAQ40l38zSqxmrp8sqNjkPYIreXv1y3a1+hy4/mUtq+T359H+5qlh5bWFkJJyz3tmn9DWU1ZNb87R7jbnotbPzflW+n9pYeXyO3NwWzV9pz1WrKnW8QtWv8eamexYjeBvGKLXKOn63NIuz7PpYeWyO3uvVfYK/t45d7SuFbEBJsydyWIgRMX6ef8PnJGb+JY6bkwXrZG6DrnuTker8xE7iAkOBMEQeiTVDzBXqC7M/vdDHReE1fiLc2cDVVght1B9nKdLVCKJxUIpwYkEZ+SrXYahuAjHUOPynGbgXY9RMMyHnxV92AqnFhoKIVuMB0Hx66cebPLUFWg6yJANmO++vjSjatkC2XP6z2JbQRBbOlnXBekSFVJ22W1OsVmzto/fuKicY5+6Sg69Bg7b7Qp+5SKWiQ1GmXoiSvH7OMQTl4y0XOfqPa1Ved0pZ5e3nrKTV42MZBNGqVtJjGpJtaKIKetQipsaJ/nsCHBmSAIQr/odEdZr7CtGchwAm+4eoUGge6876Z40uYsqrtBKUV1roarJRw4rv2tI9XLLSNdbA/JeLQzok6S/gQTNgrlu17TwuaOox4cK/cZrGXrkZbtbabvYwsHdtkXahfg+COeXegXbG+VCjSLDy72FVhrV9IdTq/c4PHyHuNm3I6n9XNKs8C1xJk+W280nfG564V+BHzKZ5RZengJsKIkXkEzes7I4LLn2pVWO9+1uvdaVkxlByLBmSAIQp+kqmB68KJ2gF0seDm9aVL+2wErXz0EUU6nKIDE9i4NQxmhM6RNGKLd6dR4dhg+H1yJnAtgN9NPsFO0Z7MMmzrv6xUC7ry3TubM9n6m/YJbc9zOOuheul1wVvZJYicG4tmxe+NBX32nKtSMnFleQ9RilSBCub7Figs+tL1xkFUIqh77uGMcaIINMjTvaTxakWAz1Dpnvdni5XiorrebQUfT0RjzDuBpwD3AT0RRVHG3Px94M1ABvhhF0es3aZyCIAhDi0pLrbawdGfN8QQKr6jRhZ27s7geKtDWiHa7oOziVeWGQ/HTzmOXPhuC8YANPlJvqGFAuQDW/jz47z2ezcJspkqrX8r4NyqrdLpWMNgwYt58FdL/+iPwlW/DlU9xN6xiHk6S4OU9K26S96wyYR99ehMXjrf0knVOWhJvf8FZRdgM2kBQoNyOQ+FJBXK7BlzurcGmp62sf1D2qY3VqDxeGQ4LlE1i3dlojDkPOBBF0RXAfwIvyfz5y8BlURRdDuw2xpjNGaYgCMJwo5wy2DCUEnpFj3Ayh1c8fosjJp86QfHkwZcrdoqLzfDC4QjwSXfQh0mAw8l8D01GVKUqF8PRB5eaz29mcOYVPSYvnbC/xKybcUo/oqYgZJP49Vdp/u4dGj/N7LU5Jqkhdto35xWcCqHqPRjqOTBr7YtTtkRUhzbIHgiKek2zV9A9v7cNG47zW0zihPy+PKPnjdr+YDUc37nNopMr99OAT7ifPw5cD/wpQBRF383cb5lUx1QQBOE4I20u30pvsdXw8h7Tz1pp6Hk8MVSy/p2QLmC94cgMKdUwoR6W4MxzZU3DsAECaRmaK/0cgoWi8jP+T1tAkqxv3qxctjPxtj7ILxzI45ebl7mpH10w5lNbiFFaES/GgymVVVauvpb+rhuei/GAgrMmldYhuJYprUiUQsXWK0371lZCKSifuvmWGoNCJet0rxtjfgG4K4qivzHGnAr8ahRFP9Jyn4vc7de2efxPAT8F8NrXvvbCZz/72Rs2eGHrqFQqBMHg6o6F7c9On0PVmSpgL/6D3m3cqezkOZTECdWjVZSnrET44NdFVJ6oAAy05yRLXEmozVcJxnofz0bOoaSaUJ2133t/xB94gBYvxlSPVfFK3padg9YLBmsLNeIlu28fjAXDMa+PVJr6uuJqjJe3SoAdPX6j5lAM1blqvYRRtYimrGYVsJkktYTqseGZ0+DOQwl4JQ8dauLFmNp8jWCis/k0rNeNAwcOrDr6To78E0DqFjcGPJ79ozHmBOC9wIvaPTiKot8Bfsf9OgQ6ZkIv3HfffRw4cGDQwxC2MTt9Dj185yOoUBGMBowfHhv0cHYkO3kO1eZrPBQ9TDAeMHXq5FBkhx78twfxih7TZ08PeigALNy3yMy9M+w5a3fPz7GRc2jpkSUe++JjgGL6qmmC0cGWER/98lGO/vsM408ZY/Rwhya/m8zMf8ww+615dE6x+1nTQ2G5cf8dD1A4WGD8AnuefujjD1M+XKZ8oLNMzEbNoepclSe+fZSlh5fspkzZ+okppYirMdNnbH31Q2WmyiNffASA3c+eXpF5HAQP/OtDxIs1Jp82QeFAgdlvzfHEXU+w70X7OppP2/G60cm35H8DV7mfrwH+Jf2DMWYEuA24MYqihzd+eIIgCNsD5dlSusKTCoMeirAd0aCdb9QwZBfAqtDl9uYHPYwmhmFxn5IqycFwqDUm1YRgLEB36O+3FST1Xko9NPM6Vfys/+eMoLeaNFOWxFb5UwWK3HSO8hllRk4rb/2AyChcJgxFWSPY0k+SpF5yWfeBG47hbQrrnuWiKPoS8JAx5rPA2cBfGmM+6P78M8DJwPuNMZ8xxjxjswYqCIIw1HiKwgn5watbCduTxAoLjD15dGj65bSvyA3anDtDOBGQ3zdEwWIm3hiG8i9/LCCYCAh3DVEJV831eQ2BD1yKanGrSBf/W41X8CieWIDEbswUTyyQ358jtyskv39A8zz9XJKt611cD+U7iwg3f7SnYR2V0O1OR/nKKIre0HLTje72twBv2ehBCYIgbDeUp1DBzr1YCJuLzmtGzx7tq59qo1GBxisPTxbGK3qMnDGYjEI7GsHG5iokdkr51NLQiSQkcYIKFFOXTw6NP50ONXElo183wEW+csbTKtSUThn8sVNKES/Ftt9sCOY0YI9Pi6WH9oZHqGgzGHwxqSAIwg5g8pIJCc6EnlFKkduTG/Qwmth1xdSghzDc1ION4VBrHEpqScOfbkgYf8oYSaaO0cr8D2Z8StkAVg/LtUPbzGLhpOLQHLO6uboLxpJ4ODZDNhMJzgRBEDaAYeqFEQRh81HaLaxDPTQL2WEjLWkcJnK7mzdBxi8YQ+cHNEYF1OLhuX4ohT8WUDp5iHqntWrqgUtidvxGqARngiAIgiAI3aIgqdnePKE9I2ePDL1O90AVCZUiroA3qOCwBeXZ8mG/NDzhgfKsWXc9W5bYbOxOZng+fUEQBEEQhG2C0rYXRnXoj3U8MgyWEMNMUkvQheFRstS+HrpyZqVB+425lMTADt8QkeBMEARBEAShW1L1uGEpSRO2HfFSjWDEH4RY5PZBKXBWAwD5Pbkdn62W4EwQBEEQBKFLlBNPGLT5tLB98Ud8/DEfb4i86YaOpFlUxh/x8Ud29nduZ787QRAEQRCETUBpBZ7CHx8e+wNhe5GbzjH1tGBHy8JvBOo4S05LcCYIgiAIgtAtGrz8cIknCNsP6ctbB6WGpidvq5AZIQiCIAiC0CVKKbySh1+SkjRB2DySgRqFDwIJzgRBEARBEHpg/CljeAUJzgRh01DDZWK+FUhwJgiCIAiC0APBqPSbCcKmc5z15ElwJgiCIAiCIAjCUHKcJc4kOBMEQRAEQRAEYTg53tQaj7O3KwiCIAiCIAjCdkApRBBEEARBEARBEARhGFDHWXAm5hyCIAiCIAiCIAwd5TNGSGrxoIexpUhwJgiCIAiCIAjC0BGMHn+hipQ1CoIgCIIgCIIgDAESnAmCIAiCIAiCIAwBEpwJgiAIgiAIgiAMARKcCYIgCIIgCIIgDAESnAmCIAiCIAiCIAwBEpwJgiAIgiAIgiAMARKcCYIgCIIgCIIgDAESnAmCIAiCIAiCIAwBEpwJgiAIgiAIgiAMARKcCYIgCIIgCIIgDAEqSZJBj0EQBEEQBEEQBOG4RzJngiAIgiAIgiAIQ4AEZ4IgCIIgCIIgCEOABGeCIAiCIAiCIAhDgARngiAIgiAIgiAIQ4AEZ4IgCIIgCIIgCEOABGeCIAiCIAiCIAhDgARnwgqMMWrQYxC2L8aYkUGPQRAEQa5lgiBsRyQ4EwAwxpxhjHmDMeZEQC5oQte4OfSXwEvd7zKPhK4wxpyS+Vnmj9A1xpgzjTHvMsaMRlEkRq5C1xhjTjPGPFc2GrcHO/G6IcHZcY4xRhtjbgb+EDgIvAHYO9BBCdsKY4xvjPkF4L1AGXg6gCyMhE4xxihjzJuAbxhjftndvCMussLWYIzxjDG/BPwR8KkoimYGPSZh+2GMuQ74U+BZwNuNMacOeEjCKuzk64YEZ8IEcBdwRRRFr8FO7OnBDknYZpwEfBf4/iiKrgGKxpiDgx2SsM3wgS8A5wFXGWP2R1EUG2PkGiV0ygR2c+hWwDPG/BdjzFkDHpOw/RgFXhtF0c8B9wLXGWMODHhMQnsCduh1wx/0AIStxxhzDXBeFEXvjKLoMeDv3O3nAVcBVWPMXwOfleyH0I6WOfQt4Fvu9oPAN4B4gMMTtgHGmKuBVwD/AvxRFEWfcLf/PXAL8JOAnH+EVcnMoX/GVn98DHgTsAT8E/AOY8yvRFH0xcGNUhhm3By6DvjfwO8B+4DTgM8BnwbeBdwB3DeoMQoNjDHPAX4Ee3x27HVj20eXQncYY56PncDPMMb8iLtNGWMC4GzgZ4H/BK4G9gxsoMLQssoc8gCiKLoHMMDJ7nY5xwgrMMa8Hnuu+UPgScD70r9FUfQ24AxjzIVRFCXGGNlEFFbQMocOAr8ZRdE/A78QRdELoyh6N/ApbHnajulFETaOzBz6MPaa9Vbg/wWea4z5aeBG4Ag2YJM5NGCMMXnsZsyfYNtvfi09Ju66ceZOuW7Iwun4I8JerH4WeEHaNB1FUSWKoj+JoujjwCewpY2PDHKgwtDSbg7VXIAP9sT5fIAoiiSDJrTj08D1btfzncCyMaacBvnAL2EvvK8Gzh/QGIXhJjuH3gEoY0wxiqJ/yyyi/wWbBZEeWKEd2Tn0dmA0iqLvAW8GHsf2nv0iMAkyh4aAw8CCW6e+FVuC+pzM9/0X2SHXDQnOjhMyuwsPRFE0B3wb22v2Gvd37f59OTa1/x3sxU52igRg/TlEo5RxAXjYGFPY+lEKw0xmDn0liqIH05uBpSiKZjN39bHCMudg55ggAOvOoXn3d88Y82PYLMi/DGiowpCyxhxadLd/I4qij2B78D+AnIMGRnYNGkXRfwD7jDHPj6KoAvwV8JJM0LxjrhvbOu0nrI4x5lJsHfVtwJejKDpqjAnchCaKooox5jbgF40xU8ARY8xe7M7Ez0RR9OWBDV4YCrqcQ7uAY0ANe1L8XBRFC4MauzAcrDWHjDHKXVQDbJ8i2B3qR4AR4GlRFH1pEOMWhoce5tAYMAVcANwYRdG/DmTgwtDQxRz6urv/FDCDzbr+jPQsbi3ueI1HUfRxV6KogDCKoiVsD+CbgL+NouhvjTE3GmO+L4qifwBK7JDrhkoSydLuNJyk6DOBv8QqWCVRFL3V/W0vMBJF0Tfc7/8V+Gng9iiKbhjMiIVho4c59Frg01EU/fhABiwMHZ3OIWPMa4D92EqO6SiKXjmgIQtDRg9zyAMmoii6cUBDFoaMHs9Du6Io+skBDfm4JA2SjTE3Ar8G/BlW8OP/ZO6zH5jHlsJ/DfgDd9/fTNcjOwUpa9yZ3A68OIqi9wOfAY5CXWHvc7haXGPMRdjeoVslMBNa6HYO/bYEZkIL684h12N2NfA84AEJzIQWup1D90tgJrTQy3lIArOtJ7Vw+p/AFdhjZYwxZairat6BLT+9BVul80fAgzstMAMpa9wRGGNuAF4EvMo1s34+I8RwCOtDBfBF4JIoih52v98P/FAURU9s5XiF4UPmkNAvvc4hY8yfAP8URdEDWz1mYbiQOST0i8yh7YUx5plYIY/vGGP+EvhMFEX3utLSU4FnAP8/8K/AhZm1x3uNMR+IomhxEOPebCRzts0xxowBz8bWS3+fMSZsMeF7EvBx93MliqKHjTEhQBRF98miWpA5JPRLj3MoBxBF0Z/JgkiQOST0i8yhbckPAr/h/rsA61MGNni+HzjkxMWOuuMVZARddmRgBhKcbWtcje7RKIpehvXjuBK705BlAZg2xvwS8Br3mOWtHqswnMgcEvqljzm0tNVjFYYTmUNCv8gc2l5kVBi/C5SiKLoLK9hyoTHmbCcodjtW3OevgDcbY3RkbZ92vFiGBGfbDGPMSe5fL6Nik5r/3on1nSq73aIc8ErgZqxE7DuPh0ktrI3MIaFfZA4J/SJzSOgXmUPbC2PMKe7fVPxDY9V5x4wxU1EUfRP4LHC5e8iTgR8AvgC8JTqOfFNFrXGbYIwpYhVqTsT6OlSMMX4URdXMffYAv4L15fCAu7G11591k144jpE5JPSLzCGhX2QOCf0ic2h7YYz5AWw285+iKHqHu82PoqhqjDkbeCHwb1EU/U9jzMsAL4qijxhjngw8GkXR/QMb/ICQ4GwbYYx5N1Yl77Yoin7H3XYYuAr48yiKHjPG/DfgVcA/Am88Hie1sDoyh4R+kTkk9IvMIaFfZA5tD4wxV2K9yX4uiqLPGGMKrmQRY0wq+LGI7Tf7OlY1839FUfTbgxrzMCDB2ZDiUvCFKIqecOILFeAm4N+B1wE/ByTAe4G/iaLoj13T5F8AfxdF0QcGM3JhWJA5JPSLzCGhX2QOCf0ic2h74Y5XMYqiI8aYc4BrgUuAcayVwfuwfmU/B/x1FEV/bow5BFwP3B1F0e8PZuTDgwRnQ4gx5uXAW4G/j6LotZnbfwvbIDmKda7/U+xEzqbym1L7wvGJzCGhX2QOCf0ic0joF5lD24vM8fp4FEWvcbf9AHBOFEVvM8a8GDgPawr+1ay4WNqLNohxDxsiCDJkGGPyQAkrJ6qMMc/J/PkfsF4Ps8ANwI2uZjdM7yAnIkHmkNAvMoeEfpE5JPSLzKHtRcvxwhjzXPenT0dR9DaAKIr+Euc3F0XRsjGm7rcsgVkDMaEeApzi0M1Yo71/j6Lod93tBeBHjTGfjKKohnVNvwl4HPj/sGlhIpE1P+6ROST0i8whoV9kDgn9InNoe7HO8Xq5MebjURTNZe4/ik0MpcdLAug2SHA2YIwxAfBLwDeBvVhFmxe4P/8v4FnYXYgPAP8duCyKoj8ewFCFIUXmkNAvMoeEfpE5JPSLzKHtRYfH6wbgf7j7vhz4KeCjURR9autHvH2QnrMBYYz5QWAX8Cngd6MoutLd/iFsHe5vGOvZcRLwa8DngU9EUfRVdz99PHk+CCuROST0i8whoV9kDgn9InNoe9HD8boD+Cg2IfRoFEVHBzPy7YP0nG0xxphpY8zfAT8EnIWVfX3YGHO9u8stwEuMMdOu/nYUuBS7G1E/+ciJ6PhF5pDQLzKHhH6ROST0i8yh7UUfx+tFQBhF0bckMOsMCc62ngT4YBRFL8Mq2pyFVa05xxhzOIqi72IViK5xjZIXYv0hroyi6GsDG7UwTMgcEvpF5pDQLzKHhH6RObS96PV4fV8URd8Y2Ki3IdJztvU8BnwCIIqiR40xe4FjwDewng+vAiaAL7tGyePe70FYgcwhoV9kDgn9InNI6BeZQ9sLOV5bhPScDQhXjzsG/GkURde62z4IFIAQ2zR5TKRFhdWQOST0i8whoV9kDgn9InNoeyHHa/ORzNlg8YF/NsZcCDwH+D3g61EUHRnssIRthMwhoV9kDgn9InNI6BeZQ9sLOV6biGTOBogx5lrgY8CngY9EUfRHAx6SsM2QOST0i8whoV9kDgn9InNoeyHHa3ORzNlgeRz4BeB9Ypwo9IjMIaFfZA4J/SJzSOgXmUPbCzlem4gEZ4Pl81EU3THoQQjbGplDQr/IHBL6ReaQ0C8yh7YXcrw2ESlrFARBEARBEARBGALE50wQBEEQBEEQBGEIkOBMEARBEARBEARhCJDgTBAEQRAEQRAEYQiQ4EwQBEEQBEEQBGEIELVGQRAEYUdhjPl54F3A9VEU/cEq9ykCNwP3rHYfQRAEQdhqJHMmCIIgHI8UgV8GfnzA4xAEQRCEOiKlLwiCIGx7XLbsjcDDwBeA64Drge8HrgIKwN3Am6Io+mtjzD3ASZmnuAV4m/vv5UAJ+CTw6iiKHtmityEIgiAc50hwJgiCIGxrjDHnAV8C7gR+C5sR248NznYDR4Ay8JPAicA08IPAR4CvAr8KfAV4MfArwAeBB4GfB26PoujFW/ZmBEEQhOMa6TkTBEEQtjvPdP++J4qiDxljTgTeDHjA2cDLgDBz/4PAJ9zPD0dRdBuAMeb33W03Zu777E0asyAIgiCsQIIzQRAEYaegWv4NsOWNnwJ+A/hpbJljHlitbKQKPA+oud+lN1sQBEHYMiQ4EwRBELY7n3H//owxRmPLGbOUgMPAZZnbZoAYONUY86PAPwN/BxjgFdiA7izgZBpZNkEQBEHYVGRHUBAEQdjWRFH0ZeANwF5sduwf3Z8qwG3A+djSxtszj6lg5fbHgT8GrgDe7m67Ang/cG3muQRBEARh0xFBEEEQBEEQBEEQhCFAMmeCIAiCIAiCIAhDgARngiAIgiAIgiAIQ4AEZ4IgCIIgCIIgCEOABGeCIAiCIAiCIAhDgARngiAIgiAIgiAIQ4AEZ4IgCIIgCIIgCEOABGeCIAiCIAiCIAhDgARngiAIgiAIgiAIQ8D/BXhMY8/mqIB9AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_val_set = scaler.transform([s[:-val_len] for s in all_series_fp32])\n",
    "\n",
    "best_preds_test = best_model.predict(\n",
    "    series=train_val_set, n=val_len, num_samples=100, mc_dropout=True\n",
    ")\n",
    "\n",
    "eval_model(\n",
    "    best_preds_test,\n",
    "    \"best model, probabilistic, on test set\",\n",
    "    train_set=train_val_set,\n",
    "    val_set=test,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e72b2d05",
   "metadata": {},
   "source": [
    "The performance is not as good on the test set, but on closer inspection this seems to be due to the Christmas time, during which some of the clients (unsurprisingly) changed their consumption. Besides the Christmas time, the quality of the forecasts seems roughly on par with what we had during the validation set, which is a good indication that we probably did not overfit our hyperparameter optimization to the validation set.\n",
    "\n",
    "To improve this model further, it might be a good idea to consider using indicator variables capturing public holidays (which we haven't done here).\n",
    "\n",
    "As a last experiment, let's see how our linear regression model performs on the test set:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "721ba827",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "linear regression, on test set sMAPE: 20.07 +- 22.67\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "lr_model = LinearRegressionModel(lags=7 * DAY_DURATION)\n",
    "lr_preds_test = lr_model.predict(series=train_val_set, n=val_len)\n",
    "\n",
    "eval_model(\n",
    "    lr_preds_test,\n",
    "    \"linear regression, on test set\",\n",
    "    train_set=train_val_set,\n",
    "    val_set=test,\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "398ff186",
   "metadata": {},
   "source": [
    "## Conclusions\n",
    "\n",
    "We have seen in this notebook that Optuna can be seamlessly used to optimize the hyper-parameters of Darts' models. In fact, there's nothing really particular to Darts when it comes to hyperparameter optimization: Optuna and other libraries can be used as they would with other frameworks. The only thing to be aware of are the PyTorch Ligthning integrations, which are available through Darts.\n",
    "\n",
    "### Side conclusion: shall we go with linear regression or TCN to forecast electricty consumption?\n",
    "\n",
    "Both approaches have pros and cons.\n",
    "\n",
    "**Pros of linear regression:**\n",
    "\n",
    "* Simplicity\n",
    "* Does not require scaling\n",
    "* Speed\n",
    "* Does not require a GPU\n",
    "* Often provides good performance out-of-the-box, without requiring tuning\n",
    "\n",
    "**Cons of linear regression:**\n",
    "\n",
    "* Can require a significant amount of memory (when used as a global model as here), although there are ways around that (e.g., SGD-based).\n",
    "* In our setting, it's impractical to train a stochastic version of the `LinearRegression` model, as this would incur too large a computational complexity.\n",
    "\n",
    "**TCN, pros:**\n",
    "\n",
    "* Potentially more tuneable and powerful\n",
    "* Typically lower memory requirements thanks to SGD\n",
    "* Very rich support to capture stochasticity in different ways, without requiring significantly more computation\n",
    "* Very fast bulk inference over many time series once the model is trained - especially if using a GPU\n",
    "\n",
    "**TCN, cons:**\n",
    "\n",
    "* More hyperparameters, which can take longer to tune and offer more risks of overfitting. It also means that the model is harder to industrialize and maintain\n",
    "* Will often require a GPU"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a2bfd17e",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  }
 },
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 "nbformat_minor": 5
}