{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c264217d",
   "metadata": {},
   "source": [
    "# Visualising CDR loop clustering"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6b6b6403",
   "metadata": {},
   "source": [
    "## Introduction\n",
    "\n",
    "In this notebook, we visualise the clusters of loop conformations determined by the pair-wise distance comparison of all loops."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a155933e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import glob\n",
    "import os\n",
    "import subprocess\n",
    "import tempfile\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import plotly.express as px\n",
    "import seaborn as sns\n",
    "import logomaker\n",
    "from ipywidgets import Dropdown, VBox\n",
    "from IPython.display import display, clear_output\n",
    "from python_pdb.aligners import align_pandas_structure\n",
    "from python_pdb.parsers import parse_pdb_to_pandas\n",
    "from sklearn.manifold import TSNE\n",
    "\n",
    "from tcr_pmhc_interface_analysis.processing import annotate_tcr_pmhc_df, find_anchors\n",
    "from tcr_pmhc_interface_analysis.utils import get_coords"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "23992f3b",
   "metadata": {},
   "outputs": [],
   "source": [
    "DATA_DIR = '../data/interim/structure-pw-distances'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7452d766",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(os.path.join(DATA_DIR, 'structure_names.txt'), 'r') as fh:\n",
    "    structure_names = [line.strip() for line in fh.readlines()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f501c771",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\n",
       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>cluster</th>\n",
       "      <th>chain_type</th>\n",
       "      <th>cdr</th>\n",
       "      <th>sequence</th>\n",
       "      <th>cluster_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7zt2_DE</td>\n",
       "      <td>12</td>\n",
       "      <td>alpha_chain</td>\n",
       "      <td>1</td>\n",
       "      <td>TSGFNG</td>\n",
       "      <td>pseudo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7zt3_DE</td>\n",
       "      <td>12</td>\n",
       "      <td>alpha_chain</td>\n",
       "      <td>1</td>\n",
       "      <td>TSGFNG</td>\n",
       "      <td>pseudo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7zt4_DE</td>\n",
       "      <td>12</td>\n",
       "      <td>alpha_chain</td>\n",
       "      <td>1</td>\n",
       "      <td>TSGFNG</td>\n",
       "      <td>pseudo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7zt5_DE</td>\n",
       "      <td>12</td>\n",
       "      <td>alpha_chain</td>\n",
       "      <td>1</td>\n",
       "      <td>TSGFNG</td>\n",
       "      <td>pseudo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7zt7_DE</td>\n",
       "      <td>12</td>\n",
       "      <td>alpha_chain</td>\n",
       "      <td>1</td>\n",
       "      <td>TSGFNG</td>\n",
       "      <td>pseudo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4807</th>\n",
       "      <td>6miv_CD</td>\n",
       "      <td>22</td>\n",
       "      <td>beta_chain</td>\n",
       "      <td>3</td>\n",
       "      <td>ASGDEGYTQY</td>\n",
       "      <td>canonical</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4808</th>\n",
       "      <td>3rtq_CD</td>\n",
       "      <td>22</td>\n",
       "      <td>beta_chain</td>\n",
       "      <td>3</td>\n",
       "      <td>ASGDEGYTQY</td>\n",
       "      <td>canonical</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4809</th>\n",
       "      <td>3dxa_NO</td>\n",
       "      <td>noise</td>\n",
       "      <td>beta_chain</td>\n",
       "      <td>3</td>\n",
       "      <td>ASRYRDDSYNEQF</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4810</th>\n",
       "      <td>1d9k_AB</td>\n",
       "      <td>noise</td>\n",
       "      <td>beta_chain</td>\n",
       "      <td>3</td>\n",
       "      <td>ASGGQGRAEQF</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4811</th>\n",
       "      <td>4gg6_GH</td>\n",
       "      <td>noise</td>\n",
       "      <td>beta_chain</td>\n",
       "      <td>3</td>\n",
       "      <td>ASSVAVSAGTYEQY</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4812 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         name cluster   chain_type  cdr        sequence cluster_type\n",
       "0     7zt2_DE      12  alpha_chain    1          TSGFNG       pseudo\n",
       "1     7zt3_DE      12  alpha_chain    1          TSGFNG       pseudo\n",
       "2     7zt4_DE      12  alpha_chain    1          TSGFNG       pseudo\n",
       "3     7zt5_DE      12  alpha_chain    1          TSGFNG       pseudo\n",
       "4     7zt7_DE      12  alpha_chain    1          TSGFNG       pseudo\n",
       "...       ...     ...          ...  ...             ...          ...\n",
       "4807  6miv_CD      22   beta_chain    3      ASGDEGYTQY    canonical\n",
       "4808  3rtq_CD      22   beta_chain    3      ASGDEGYTQY    canonical\n",
       "4809  3dxa_NO   noise   beta_chain    3   ASRYRDDSYNEQF          NaN\n",
       "4810  1d9k_AB   noise   beta_chain    3     ASGGQGRAEQF          NaN\n",
       "4811  4gg6_GH   noise   beta_chain    3  ASSVAVSAGTYEQY          NaN\n",
       "\n",
       "[4812 rows x 6 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cdr_clusters = pd.read_csv('../data/processed/stcrdab_clusters.csv')\n",
    "cdr_clusters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "89705c2c",
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>tsne_1</th>\n",
       "      <th>tsne_2</th>\n",
       "      <th>chain_type</th>\n",
       "      <th>cdr</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7zt2_DE</td>\n",
       "      <td>-12.995802</td>\n",
       "      <td>14.408054</td>\n",
       "      <td>beta_chain</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7zt3_DE</td>\n",
       "      <td>-12.007703</td>\n",
       "      <td>13.610337</td>\n",
       "      <td>beta_chain</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7zt4_DE</td>\n",
       "      <td>-12.722438</td>\n",
       "      <td>14.317860</td>\n",
       "      <td>beta_chain</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7zt5_DE</td>\n",
       "      <td>-12.896334</td>\n",
       "      <td>14.089248</td>\n",
       "      <td>beta_chain</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7zt7_DE</td>\n",
       "      <td>-12.443920</td>\n",
       "      <td>14.690278</td>\n",
       "      <td>beta_chain</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>797</th>\n",
       "      <td>6miv_CD</td>\n",
       "      <td>-7.597044</td>\n",
       "      <td>46.012802</td>\n",
       "      <td>alpha_chain</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>798</th>\n",
       "      <td>3rtq_CD</td>\n",
       "      <td>-11.724574</td>\n",
       "      <td>50.600700</td>\n",
       "      <td>alpha_chain</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>799</th>\n",
       "      <td>3dxa_NO</td>\n",
       "      <td>-28.833708</td>\n",
       "      <td>18.615999</td>\n",
       "      <td>alpha_chain</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>800</th>\n",
       "      <td>1d9k_AB</td>\n",
       "      <td>-18.946213</td>\n",
       "      <td>13.313275</td>\n",
       "      <td>alpha_chain</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>801</th>\n",
       "      <td>4gg6_GH</td>\n",
       "      <td>-25.602039</td>\n",
       "      <td>18.878851</td>\n",
       "      <td>alpha_chain</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4812 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        name     tsne_1     tsne_2   chain_type  cdr\n",
       "0    7zt2_DE -12.995802  14.408054   beta_chain    2\n",
       "1    7zt3_DE -12.007703  13.610337   beta_chain    2\n",
       "2    7zt4_DE -12.722438  14.317860   beta_chain    2\n",
       "3    7zt5_DE -12.896334  14.089248   beta_chain    2\n",
       "4    7zt7_DE -12.443920  14.690278   beta_chain    2\n",
       "..       ...        ...        ...          ...  ...\n",
       "797  6miv_CD  -7.597044  46.012802  alpha_chain    3\n",
       "798  3rtq_CD -11.724574  50.600700  alpha_chain    3\n",
       "799  3dxa_NO -28.833708  18.615999  alpha_chain    3\n",
       "800  1d9k_AB -18.946213  13.313275  alpha_chain    3\n",
       "801  4gg6_GH -25.602039  18.878851  alpha_chain    3\n",
       "\n",
       "[4812 rows x 5 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame()\n",
    "\n",
    "for path in glob.glob(os.path.join(DATA_DIR, '*_distance_matrix.txt*')):\n",
    "    name = os.path.basename(path).split('.')[0].replace('_distance_matrix', '')\n",
    "\n",
    "    cdr, chain = name.split('_')\n",
    "\n",
    "    cdr_distance_matrix = np.loadtxt(path)\n",
    "\n",
    "    cdr_tsne = TSNE(metric='precomputed', init='random', learning_rate='auto').fit_transform(cdr_distance_matrix)\n",
    "\n",
    "    cdr_df = pd.DataFrame({\n",
    "        'name': structure_names,\n",
    "        'tsne_1': cdr_tsne[:, 0],\n",
    "        'tsne_2': cdr_tsne[:, 1],\n",
    "    })\n",
    "    cdr_df['chain_type'] = chain + '_chain'\n",
    "    cdr_df['cdr'] = int(cdr.replace('cdr', ''))\n",
    "\n",
    "    df = pd.concat([df, cdr_df])\n",
    "\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3b57d818",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>tsne_1</th>\n",
       "      <th>tsne_2</th>\n",
       "      <th>chain_type</th>\n",
       "      <th>cdr</th>\n",
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       "      <th>0</th>\n",
       "      <td>7zt2_DE</td>\n",
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       "      <td>beta_chain</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
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       "      <td>beta_chain</td>\n",
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       "      <td>SASEGT</td>\n",
       "      <td>pseudo</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7zt4_DE</td>\n",
       "      <td>-12.722438</td>\n",
       "      <td>14.317860</td>\n",
       "      <td>beta_chain</td>\n",
       "      <td>2</td>\n",
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       "      <td>SASEGT</td>\n",
       "      <td>pseudo</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7zt5_DE</td>\n",
       "      <td>-12.896334</td>\n",
       "      <td>14.089248</td>\n",
       "      <td>beta_chain</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>SASEGT</td>\n",
       "      <td>pseudo</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7zt7_DE</td>\n",
       "      <td>-12.443920</td>\n",
       "      <td>14.690278</td>\n",
       "      <td>beta_chain</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>SASEGT</td>\n",
       "      <td>pseudo</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4807</th>\n",
       "      <td>6miv_CD</td>\n",
       "      <td>-7.597044</td>\n",
       "      <td>46.012802</td>\n",
       "      <td>alpha_chain</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>VVGDRGSALGRLH</td>\n",
       "      <td>canonical</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4808</th>\n",
       "      <td>3rtq_CD</td>\n",
       "      <td>-11.724574</td>\n",
       "      <td>50.600700</td>\n",
       "      <td>alpha_chain</td>\n",
       "      <td>3</td>\n",
       "      <td>13</td>\n",
       "      <td>VVGDRGSALGRLH</td>\n",
       "      <td>canonical</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4809</th>\n",
       "      <td>3dxa_NO</td>\n",
       "      <td>-28.833708</td>\n",
       "      <td>18.615999</td>\n",
       "      <td>alpha_chain</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>IVWGGYQKVT</td>\n",
       "      <td>canonical</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4810</th>\n",
       "      <td>1d9k_AB</td>\n",
       "      <td>-18.946213</td>\n",
       "      <td>13.313275</td>\n",
       "      <td>alpha_chain</td>\n",
       "      <td>3</td>\n",
       "      <td>noise</td>\n",
       "      <td>AATGSFNKLT</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4811</th>\n",
       "      <td>4gg6_GH</td>\n",
       "      <td>-25.602039</td>\n",
       "      <td>18.878851</td>\n",
       "      <td>alpha_chain</td>\n",
       "      <td>3</td>\n",
       "      <td>noise</td>\n",
       "      <td>ILRDGRGGADGLT</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4812 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         name     tsne_1     tsne_2   chain_type  cdr cluster       sequence  \\\n",
       "0     7zt2_DE -12.995802  14.408054   beta_chain    2      10         SASEGT   \n",
       "1     7zt3_DE -12.007703  13.610337   beta_chain    2      10         SASEGT   \n",
       "2     7zt4_DE -12.722438  14.317860   beta_chain    2      10         SASEGT   \n",
       "3     7zt5_DE -12.896334  14.089248   beta_chain    2      10         SASEGT   \n",
       "4     7zt7_DE -12.443920  14.690278   beta_chain    2      10         SASEGT   \n",
       "...       ...        ...        ...          ...  ...     ...            ...   \n",
       "4807  6miv_CD  -7.597044  46.012802  alpha_chain    3      13  VVGDRGSALGRLH   \n",
       "4808  3rtq_CD -11.724574  50.600700  alpha_chain    3      13  VVGDRGSALGRLH   \n",
       "4809  3dxa_NO -28.833708  18.615999  alpha_chain    3       6     IVWGGYQKVT   \n",
       "4810  1d9k_AB -18.946213  13.313275  alpha_chain    3   noise     AATGSFNKLT   \n",
       "4811  4gg6_GH -25.602039  18.878851  alpha_chain    3   noise  ILRDGRGGADGLT   \n",
       "\n",
       "     cluster_type  \n",
       "0          pseudo  \n",
       "1          pseudo  \n",
       "2          pseudo  \n",
       "3          pseudo  \n",
       "4          pseudo  \n",
       "...           ...  \n",
       "4807    canonical  \n",
       "4808    canonical  \n",
       "4809    canonical  \n",
       "4810          NaN  \n",
       "4811          NaN  \n",
       "\n",
       "[4812 rows x 8 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = df.merge(cdr_clusters, how='inner', on=['name', 'chain_type', 'cdr'])\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1ccc40eb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x7f251c37b460>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 986.75x600 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.FacetGrid(df.sort_values(['chain_type', 'cdr']), row='chain_type', col='cdr', sharex=False, sharey=False)\n",
    "g.map(sns.scatterplot, 'tsne_1', 'tsne_2', 'cluster')\n",
    "g.add_legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f64fdc1d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "chain_type   cdr\n",
       "alpha_chain  1      23\n",
       "             2      18\n",
       "             3      30\n",
       "beta_chain   1       8\n",
       "             2      16\n",
       "             3      28\n",
       "Name: cluster, dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.query(\"cluster != 'noise'\").groupby(['chain_type', 'cdr'])['cluster'].nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d5f53f5f",
   "metadata": {},
   "source": [
    "### Do the canonical clusters exist across different loop lengths?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e0fed393",
   "metadata": {},
   "outputs": [],
   "source": [
    "df['cdr_length'] = df['sequence'].map(len)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "76e28e37",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    107\n",
       "2     14\n",
       "3      2\n",
       "Name: cdr_length, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.query(\"cluster != 'noise'\").groupby(['chain_type', 'cdr', 'cluster'])['cdr_length'].nunique().value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "af6a3d2d",
   "metadata": {},
   "source": [
    "Some clustering with different lengths!"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e790f1ad",
   "metadata": {},
   "source": [
    "## Visualizing the canonical cluster structures and sequences"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bd4b9e1d",
   "metadata": {},
   "source": [
    "### Sequence motifs for each canonical cluster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "f6075c08",
   "metadata": {},
   "outputs": [],
   "source": [
    "def format_fasta(group):\n",
    "    index = group.index.tolist()\n",
    "    sequence = group['sequence'].tolist()\n",
    "\n",
    "    fasta = []\n",
    "\n",
    "    for idx, sequence in zip(index, sequence):\n",
    "        fasta.append(f'>{idx}\\n{sequence}')\n",
    "\n",
    "    return '\\n'.join(fasta)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "2c4ec77c",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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j+vTpkMvlXIdDbhKNyQ1onCtCCCGEEOIXrl69iv/85z9ITEzEvHnznLbjIoQrlFwRQgghhBC/UlVVhf/9739ITU3FxIkTcezYMa5DIgQAJVeEEEIIIcRPmUwmbNmyBX369MGYMWOQlZXFdUjkJkfJFSGEEEII8Xs7d+5Ep06dsGzZMuj1eq7DITcpSq4IIYQQQkiLoNFo8MILL6B79+44fPgw1+GQmxAlV4QQQgghpEU5d+4cBg0ahJdffhlGo5HrcMhNhJIrQgghhBDS4rAsi1dffRXDhg1DaWkp1+GQmwQlV4QQQgghpMU6cOAA+vbti7Nnz3IdCrkJUHJFCCGEEEJatKysLAwaNAgnT57kOhTSwlFyRQghhBBCWrzS0lIMHjwY//zzD9ehkBaMkitCCCGEEHJTKC8vxx133IGjR49yHQppoThNrg4dOoQxY8YgLi4ODMNgx44d9R7/zTffYNiwYYiMjERwcDD69++P3bt32x2zePFiMAxjN6WlpXnwryCEEEIIIf5CoVBg5MiRyMnJ4ToU0gJxmlyp1Wp069YNq1evdun4Q4cOYdiwYfjpp5+QkZGBwYMHY8yYMXWKdzt16oSCggLr9Ntvv3kifEIIIYQQ4ofKyspwzz33oLq6mutQSAsj4PLiI0eOxMiRI10+fuXKlXbrr7/+Or777jv88MMP6NGjh3W7QCBATEyMu8IkhBBCCCEtzD///IMnnngCn3/+ORiG4Toc0kL4dZsrs9mMqqoqhIWF2W2/dOkS4uLikJKSgkmTJiE3N7fe8+h0OiiVSruJEEIIIYS0bJs2bXK5BhUhrvDr5GrFihVQqVR44IEHrNvS09OxceNG7Nq1C2vXrkVWVhZuvfVWVFVVOT3PsmXLIJfLrVNiYqI3wieEEEIIIRxbsGABrl69ynUYpIVgWJZluQ4CABiGwbfffotx48a5dPzmzZsxffp0fPfddxg6dKjT4xQKBVq3bo133nkHjz/+uMNjdDoddDqddV2pVCIxMRGVlZUIDg5u1N9BCCGEkJZNIpFAq9VyHQZxo3vvvRfbt2/nOgzio5RKJeRyuUu5gV+WXG3ZsgXTpk3DV199VW9iBQAhISFo164dLl++7PQYsViM4OBgu4kQQgghhNwcvvnmG/z0009ch0FaAL9Lrr788ks8+uij+PLLLzFq1KgGj1epVMjMzERsbKwXoiOEEEIIIf5ozpw5MBgMXIdB/BynyZVKpcKJEydw4sQJAEBWVhZOnDhh7YBi4cKFmDx5svX4zZs3Y/LkyXj77beRnp6OwsJCFBYWorKy0nrM888/j4MHDyI7Oxt//PEH7rnnHvD5fEycONGrfxshhBBCCPEfWVlZ+Oqrr7gOg/g5TttcHThwAIMHD66zfcqUKdi4cSOmTp2K7OxsHDhwAABw++234+DBg06PB4AHH3wQhw4dQllZGSIjIzFw4EC89tprSE1NdTmuxtSrJIQQQsjNxVfbXEVHR2P69OluP6/ZbIZOp4NWq0VpaSmysrKQnZ2N4uJit1+La927d8fx48epa3ZipzG5gc90aOFLKLkihBBCiDO+mlz17NkTGRkZXrueWq1GdnY2/vrrL/z444/Ys2cPVCqV167vKfv27cOQIUO4DoP4kBbfoQUhhBBCCOFWUFAQOnXqhMceewzbt29HWVkZ9u3bh2nTpkEgEHAdXpO9/fbbXIdA/BglV4QQQgghpNlEIhGGDBmC9evX48KFC5g6dSp4PP+71dy9ezdKSkq4DoP4Kf/7xBNCCCGEEJ+WkpKCTz75BGfPnnXYvt6Xmc1m/PDDD1yHQfwUJVeEEEIIIcQj2rdvj71792Lx4sVch9IoO3bs4DoE4qcouSKEEEIIIR7D5/OxaNEirF+/3m964WspnXMQ76PkihBCCCGEeNy0adPwyiuvcB2GS3Q6HX755ReuwyB+yH+7ciF1aAwalFSXoERdgtLqUpRU18xLq0uhMWhgMBtgMBlgNBtrls01yzyGBz7DB5/Hr5lfXxbzxZCKpHZTkCiozjbrPmEQ+Dw+128DIYQQQnzUwoULcfDgQezbt4/rUBqUkZGBu+++m+swiJ+h5MpPqPVqnC4+jROFJ3Ch7II1cbJNpKoN1VyHiUBhICICIxARGIHIwEjrPDIoElFBUYiTxSFWGos4WRwigyLBY6jwlBBCCLlZ8Pl8fPHFF+jevTsKCwu5Dqde3hwzjLQclFz5GJZlkVeVhxOFJ/Bv4b/4t6hmulR2CSx8f7znakM1citzkVuZ2+CxAp4AMdIYxMnikBiciOSQZKSEpiA5tGbeWt4aYoHYC1ETQgghxFuio6Px6quvYvr06VyHUq/jx49zHQLxQwzLsr5/x+5ljRmFublMZhMO5x7Gzos7cbzgOP4t+hflmnKPXtNfMGAQHxxfk3BdT7xsl2OkMX7TMJYQQkjLIZFIoNVquQ6jjp49e/pNaUt1dTUSEhJQUVHBdSj1ys/PR2xsLNdhEI41JjegkisOGEwG/Jr9K7af3Y5vz3+LkmoaqM4RFiyuKa/hmvIaDuUcqrM/QBCA1NBUdIjsgLTwNHSI7IAOER3QPqI9AoWBHERMCCGEEFcEBgbi8ccfx4oVK7gOpV5nz56l5Io0CiVXXqIz6rDvyj58fe5rfHf+O1RofftJjT/QGrU4U3IGZ0rO2G1nwKB1SGu8MeQNTOg8gaPoCCGEEFKfmTNn+nxyVVRUxHUIxM9QcuVhR64eweqjq/HDxR+g1Cm5DuemwIJFtiIb15TXuA6FEEIIIU6kpKQgLi4O+fn5XIfilK93ukF8DyVXHsCyLPZk7sGy35bhYM5BrsMhhBBCCPFJ3bp1o+SKtCjUD7ab/Zr1K3qv7407N91JiRUhhBBCSD26d+/OdQj1omqBpLGo5MpNrimv4fk9z2Prma1ch0IIIYQQ4he6devGdQj1KimhTsdI41By1Uwsy2LN0TX4v33/B7VBzXU4hBBCCCF+IyoqiusQ6qXT6bgOgfgZSq6awWg2Yu6uuVh9dDXXoRBCCCGE+J2goCCuQ6iXXq/nOgTiZyi5aqIqXRUe3P4gfrr0E9ehEEIIIYT4JR7Pt5v/m81mrkMgfoaSqya4pryG0ZtH49+if7kOhRBCCCHEb1VXV3MdQr3EYjHXIRA/Q8lVI/1T8A9Gfzka+VW+220oIYQQQog/qKio4DqEegmFQq5DIH6GkqtGyMjPwKCNg6jjCkIIIYQQNzh16hTXIdQrLCyM6xCIn/Htiq4+RK1XY+L2iZRYEUIIIYS4yb//+nYTi+joaK5DIH6G0+Tq0KFDGDNmDOLi4sAwDHbs2NHgaw4cOICePXtCLBajTZs22LhxY51jVq9ejaSkJAQEBCA9PR1///13s2Odu2suLpVfavZ5CCGEEEJIDV9PrmJiYrgOgfgZTpMrtVqNbt26YfVq17oyz8rKwqhRozB48GCcOHECc+fOxbRp07B7927rMVu3bsW8efOwaNEiHD9+HN26dcOIESNQXFzc5Di3n92Oj/75qMmvJ4QQQggh9ioqKnD58mWuw6gXJVeksThtczVy5EiMHDnS5ePXrVuH5ORkvP322wCADh064LfffsP//vc/jBgxAgDwzjvvYPr06Xj00Uetr/nxxx/x8ccfY8GCBY2OsVhdjOk/TG/063xFmCQMsdJYxMniECuLRZz0+lwWh1hpLCICIxAgCICIL7KbhHwhGDAwmA0wmAwwmA3Qm/TQGXUo15SjtLoUJdUlKFGXWOelmlK79TJNGcwsdWFKCCGEkLo+/fRTsCzLdRj1omqBpLH8qkOLI0eOYOjQoXbbRowYgblz5wKoGegtIyMDCxcutO7n8XgYOnQojhw50qRrvvfXe6jQ+nZPNhYhASFIj0+vmRLS0Te+LyICI5p1TkuyZStRnujSa82sGcXqYlypuILM8kxkVlyfyjNxsewiyjRlzYqNEEIIIf7JbDa7XHOJS6mpqVyHQPyMXyVXhYWFdZ4gREdHQ6lUQqPRoKKiAiaTyeEx58+fd3penU4HnU5nXVcqlQAAlV6F1Ud9+x++VCTFpC6TMKHTBNza+lYIeL7zv5TH8BAjjUGMNAYDEgfU2V+sLsaZ4jM4XXwaZ0rO4EzJGZwqOoVKXSUH0RJCCCHEW3bv3u3zVQJlMhnatGnDdRjEz/jOnTiHli1bhiVLltTZvvnkZp8ttRLyhPjPgP/g/wb+H4LFwVyH0yRRQVGISo7C4OTB1m1m1oyLZRfx57U/8ee1P3Hk2hGcLj5N1QsJIYSQFsJgMGDx4sVch9GgHj16gMejjrVJ4/hVchUTE4OioiK7bUVFRQgODoZEIgGfzwefz3d4TH0NEhcuXIh58+ZZ15VKJRITE7E7c7fT13Cpf0J/fHT3R+gY2ZHrUNyOx/CQFpGGtIg0TO0+FQBQpavCsfxj1mTrz2t/oqS6hNtACSGEENIkL7zwglt6cva0nj17ch0C8UN+lVz1798fP/30k922vXv3on///gAAkUiEXr16Yf/+/Rg3bhyAmjq9+/fvx5w5c5yeVywWQywW19n+57U/fW4ksP4J/bF/8n5IhBKuQ/EamViGwcmDrSVcLMsiS5FVk2xdPYJDuYdwsugkx1ESQgghpCE//vgjVqxYwXUYLqHkijQFp8mVSqWyq2+blZWFEydOICwsDK1atcLChQuRl5eHzz77DADw5JNP4v3338f8+fPx2GOP4ZdffsFXX32FH3/80XqOefPmYcqUKejduzf69u2LlStXQq1WW3sPbFR8ehUQ0Py/011SQlPw/cTvb6rEyhGGYZASmoKU0BQ81OUhAECRqgj7ruzD3it7sffKXuRX5XMcJSGEEEJs/fvvv5g8eTLXYbjsjjvu4DoE4oc4Ta6OHTuGwYNvtLexVM2bMmUKNm7ciIKCAuTm5lr3Jycn48cff8Szzz6LVatWISEhAR999JG1G3YAmDBhAkpKSvDyyy+jsLAQ3bt3x65du1pEV5rzB8xvdu9/LVW0NBqTuk7CpK6TwLIszpWe4zokQgghhFx3+PBh3H333VAoFFyH4pK+ffsiPj6e6zCIH2JYXx9ggANKpRJyuRxYAJ8puRLzxSh8vhAhASFch0IIIYTc1CQSCbRaLddh1NGzZ09kZGRwHYYdk8mE5cuX46WXXoLJZOI6HJe9/vrrdkP7kJubJTeorKxEcHD9Hcn5VZurm1mvuF6UWBFCCCHEL5jNZnz99ddYtGhRvcPh+Kp77rmH6xCIn6Lkyk/IxXKuQyCEEEIIqZder8dPP/2ExYsX499//+U6nCbp1KkT0tLSuA6D+ClKrvzENeU1rkMghBBCCKmjsLAQP//8M3bu3Im9e/eiqqqK65Ca5emnn+Y6BOLHKLnyE6eKTyGrIgvJoclch0IIIYQQH6RWq3Hs2DG3n9dkMkGn00Gr1aKkpARZWVl2U3Z2ttuvyZXIyEg88sgjXIdB/BglV37kzd/fxLrR67gOgxBCCCE+6MKFC+jTpw/XYfi12bNnQyK5uYe8Ic3jY0Pkkvp8kPEBNp/azHUYhBBCCCEtjkQiwaxZs7gOg/g5Sq78zMPfPIzFBxbDZPaf7kwJIYQQQnzdiy++iMjISK7DIH6Okis/w4LFkoNL0H9Df+y6vAtm1sx1SIQQQgghfq1du3Z4/vnnuQ6DtACUXPmpo/lHMXLTSCSvSsbLv76Mk0UnqTSLEEIIIaQJVq9eDbFYzHUYpAVgWJZluQ7C11hGYQ56OQhqnprrcFwWLA5Gv4R+6J/QHwMSByA9Ph3yABofixBCCHEniUQCrVbLdRjETSZOnIjNm6lNO3HOkhtUVlYiODi43mMpuXLA8gYO/XAo9uXv4zqcJmPAoHNUZ/RP6I/+if3RMbIj2oW3Q0hACNehEUIIIX6LkquWo3379vjrr78gl9PDaOJcY5Ir6oq9HiNSR/h1csWCxaniUzhVfAofHv/Quj0yMBLtwtuhXXg7tAlrg+SQZCSHJiM5JBlRQVFgGIbDqAkhhBBCPE8mk2HHjh2UWBG3ouSqHlO6T8Ha02txpeIK16G4VUl1CUqqS/D71d/r7JMIJEgKSbImW5bEKykkCckhyQiVhHIQMWkslmWhNWpRbai2m/QmPcysGWbWDBNrurFsNoFhGPAZPvg8vstzIU8IiVACiUACsUAMHkPNOAkhhPiHzz77DGlpaU1+fWZ5pk/cI0YERqBHbA+uw/CIrIosXC6/zHUYYHSuFzxQclUPsUCMFcNW4N6v7uU6FK/RGDU4V3oO50rPOdwvF8vtki1L8mUpARMLqDGou+hNepSoS1CkLkKRqgjF6mLrcpG6CCXVJVDr1ag2VENj1NRJpLgg5osRIAiARCipmQskddYlQglkIhmCxcEIFgfbLQeLgyET191HnytCCCHu9MYbb2DcuHHNOkdCcAK+PP0llh5aCp1J557Ammhyt8l4Z/g7CA8M5zQOdzGYDFj+x3K8cvAVzt/bcWnj8NqA11w+ntpcOWBbr1Imk2HIZ0Pwa/avXIfl83gMD63krdAmrA3ahrVFm7A26BzVGd1juiMqKIrr8HwOy7K4pryGc6XncL70PM6XnseFsgvIr8pHkaoIFdoKrkP0GSK+CHKxHGGSMIRJwhAeGF4zl9Sa19ouFUmpmishxO2ozZV/e+utt/Cf//zHbee7VHYJM3+cif1Z+912zqaICorCu3e+iwc6PeDXv33H8o9h2vfT8G/Rv5zGkRCcgPdGvodxaeOoQ4vmqv0Gniw6iR4f9KAxpZohThaH7jHd0SOmh3WeHJp801Qju6a8hr+u/WUtFTxfeh4XSi9AbfCf3ij9kZAnxP2d7semezdxHQohpAWh5Mp/vfPOO3j22Wfdfl6WZbHp1CY8u/tZlFaXuv38jTGm3RisGbUGCcEJnMbRWNWGaiz6dRHe+fMdTu+5eQwPT/d9Gq8MfgUysQwA9RbYbI7ewNcPv44Xf3mR48haFplIhm4x3awJ1y2Jt6BdeDu/ftpicansEnZn7sbvV3/H77m/46ryKtch3bRGtR2FnQ/t5DoMQkgLQsmV/2EYBu+99x5mz57t0euUVZfh//b9Hzb8s8Gj12mITCTDW8PewhO9nvCLB9m/ZP2CJ354ApkVmZzG0TO2Jz4c/SF6xfWy207JVTM5ewMX/boIrxx6hcPIWr5W8lYYnjIcw1OHY0jKEIRJwrgOySUsy+K33N+w7ew2/HTpJ86/HMgNlFwRQtyNkiv/EhwcjC+//BJ33XWX1655KOcQZuycgfOl5712TUdubXUr1o9Zj/YR7TmNwxmFVoHn9zzPeTIqFUmxdPBSzO47GwJe3S4pKLlqJmdvIMuy+O+v/8Vrh11v1EaajgGDPvF9rMlWv4R+EPKFXIdlp0pXhS9OfoE1x9bgdPFprsMhDlByRQhxN0qu/Ef37t2xZcsWtG/v/eRCZ9Rh+R/LOe/wQswX4+VBL+M/A/7jU/dR35z7BrN/mo1CVSGncYxLG4d373wXifJEp8dQctVM9b2BLMvihf0v4I3f3+AoupuXTCTDyLYjMb3ndNyRfAenxdxnis9gzdE1+OzkZ1DpVZzFQRpGyRUhxN0oufJ9DMPgmWeewbJlyxAQEMBpLL7S4UW36G746O6P0DuuN6dxFFQVYM7Pc/DNuW84jcO2w4qGNCa58v1KmD6GYRi8PuR1vH7H6+AzfK7DualU6avw1ZmvMOzzYWj/fnu89ftbKFGXeDUGvUmP+Xvno/PazlhzbA0lVoQQQoiP6d27N44ePYr//e9/nCdWANA2vC32PrIXX9zzBSIDIzmL49+if5H+UTqe3/M8J0O2sCyLDcc3oOOajpwmVjyGh7npc3F21lmXEqvGopIrB1zNTv+4+gcmfTMJ2Yps7wVH7Ah5Qtzb4V7M6DUDtyfd7tHOMK5UXMHE7RPxd97fHruGNwl5QsgD5JCL5ZCJZRDyhA4HCgYAo9kIg8kAg9kAvUlvXa491xl1PtcDIpVcEULcjUqufJNcLsfrr7+OGTNmgM/3zQfg5Zpy/N/e/8NH/3zEaRwpoSn4cPSHGJIyxCvXyyzPxBM7n8AvWb945XrOOOuwoiFULbCZGvMGVmorsejAIrz/9/swsSYvRUgcSYtIw6uDX8X4DuPdnmTtOL8DU3ZMgVKndOt53YnH8JAUkoTU0FSkhKYgJTQFUUFRkIvlCBYHWxMpy3KAwDNP80xmE1R6FSp1lajUVkKpUzpdVugUNYMjWwZGVpe4/d8RJVeEEHej5Mq3hISE4Mknn8TcuXMRHR3NdTguOZxzGDN2zsC50nOcxvFY98ewYvgKhEpCPXJ+o9mIlX+uxMu/vgyNUeORa7iioQ4rGuJ3ydXq1auxfPlyFBYWolu3bnjvvffQt29fh8fefvvtOHjwYJ3td911F3788UcAwNSpU/Hpp5/a7R8xYgR27drlUjyNeQMtzpacxbO7n8WezD0uHU88p39Cf6wYvgIDEge45Xx5yjy0f7+9z5XIAECPmB4YlzYOtyTegvSEdEhFUq5DahYza0a5ptyabNWZq4uQp8xDTmUOFFqFS+ek5IoQ4m6UXPmGlJQUzJ07F48++iikUv/7/dOb9Fj++3K8euhVTju8iJHG4P2R72N8x/FuPe+/hf9i2g/TcCz/mFvP21iudFjREL9KrrZu3YrJkydj3bp1SE9Px8qVK7Ft2zZcuHABUVFRdY4vLy+HXq+3rpeVlaFbt2746KOPMHXqVAA1yVVRURE++eQT63FisRihoa5l5U1JriyO5R/Du3+9iy2nt8BgNjTqtcS9nkl/BsuGLINEKGnWeR7a/hC+PP2lm6JyjyHJQ7Bg4AIMSR7SIsYFa4pKbSVyKnOQo8ixzrMrs63rxepiAJRcEULcj5Irbg0YMADPPfccxo4d67PV/xrjcvllzPxxJvZd2cdpHPek3YP373ofcbK4Zp1Ha9Ti1YOv4q0/3oLRbHRTdI3XmA4rGuLx5Eqj0YBlWQQGBgIAcnJy8O2336Jjx44YPnx4o86Vnp6OPn364P333wcAmM1mJCYm4qmnnsKCBQsafP3KlSvx8ssvo6CgAEFBQQBqkiuFQoEdO3Y07g+7rjnJlUWhqhAfHPsAa4+tRZG6qEnnIM2XFpGGrfdtRdfork16/cHsg7j909vdGlNzzR8wH28Oe5PrMHyexqBBbmUutEYtusV04zocQkgLQsmV97Vv3x7Dhg3DpEmT0K9fP67DcTuWZbH51GY8u/tZlFR7t7MuW3KxHMuHLce0ntOa9PD2cM5hTP9hOi6UXfBAdK7hMTw83fdpvDL4FcjEMrec0+O9BY4dOxafffYZAEChUCA9PR1vv/02xo4di7Vr17p8Hr1ej4yMDAwdOvRGQDwehg4diiNHjrh0jg0bNuDBBx+0JlYWBw4cQFRUFNq3b4+ZM2eirKzM5bjcIUYag0W3L0Lus7n4/J7P0Seuj1evT2qcLz2P2zfejuMFx5v0eq67Ca2Nz/Dx6h2vch2GX5AIJWgf0Z4SK0II8UPh4eGYMGECNmzYgJycHJw/fx7vvfdei0ysgJreqCd1nYTzc85jes/pnMVRqavEEzufwB2f3YHL5Zddfp1Sp8SsH2fhto23cZpY9Yztib+n/Y3/3fk/tyVWjdWk5Or48eO49dZbAQBff/01oqOjkZOTg88++wzvvvuuy+cpLS2FyWSq0/gwOjoahYUNDyj2999/4/Tp05g2bZrd9jvvvBOfffYZ9u/fjzfffBMHDx7EyJEjYTI5biiv0+mgVCrtJncR8UV4uOvD+Hv638h8OhPv3vkuhqcOh5DnO4O4tXQV2goM/WwoMvIzGv3anMocD0TUdCbW1KS/gxBCCPFlIpEIQ4YMwRtvvIGMjAwUFxdjy5YteOyxx9CqVSuuw/OaMEkYPhzzIQ4/ehgdIztyFseB7APosrYL3vq94ap9Oy/uRKc1nbD2mOsFLO4mFUmxcsRK/DXtr0b3BOhuje8uA0B1dTVksppscM+ePbj33nvB4/HQr18/5OR472Z0w4YN6NKlS53OLx588EHrcpcuXdC1a1ekpqbiwIEDGDKkbpeTy5Ytw5IlSzweb0poCp5KfwpPpT+FKl0V9l7Zi50Xd+LHSz9a24cQz6jQVmDo50Ox95G9jRo8z1O95zTH6C9HY/GgxXiy95M+NdI6IYQQ0hC5XI5WrVrZTT169MCtt95qbW5CgIGtBuKfGf9gxR8r8MrBVzjp8EJr1OL/9v0ftpzegg13b0CP2B52+4vVxXhm1zPYcnqL12Oz5Y4OK9ypSW2uunbtimnTpuGee+5B586dsWvXLvTv3x8ZGRkYNWqUS6VOQE21wMDAQHz99dcYN26cdfuUKVOgUCjw3XffOX2tWq1GXFwcXnnlFTzzzDMNXisyMhJLly7FjBkz6uzT6XTQ6W58aJVKJRITE5vV5qoxzKwZx/KP4edLP+Pv/L9xNO8op/VtW7KQgBDse2Sfy081vj33Le796l4PR9U0reWtMS5tHEa2GYnecb0RHhjOdUiEEHJToDZX9kQiEcRiMUQiEaRSaZ3kyTIlJiZCLpdzHa7fuVx+GbN+nIW9V/ZyFgOf4eP5Ac9j0aBFCBAE4IuTX+DZ3c+iTOPdZje23NlhRUM83qHF119/jYceeggmkwlDhgzBnj013Y8vW7YMhw4dws8//+zyudLT09G3b1+89957AGo6tGjVqhXmzJlTb4cWGzduxJNPPom8vDyEh9d/U3nt2jW0atUKO3bswN13391gTO7o0KI5WJbFNeU1HMs/hqP5R3Es/xiO5R9DhbbC67G0RJ0iO+HEkydcGueAZVn029DPLwYOjpfFo3NUZ7SSt0JCcIJ1ipfFIyE4AcHi4Ju2Z0FCCHEnX02uunTpgn37PN/jHMMwEIvF1oSKfls8j2VZfHn6Szy7+1lOazu1DWuLpJAkThM9T3RY0RCvdMVeWFiIgoICdOvWDTxeTdOtv//+G3K5HO3bt3f5PFu3bsWUKVPwwQcfoG/fvli5ciW++uornD9/HtHR0Zg8eTLi4+OxbNkyu9fdeuutiI+Px5Yt9kWRKpUKS5Yswfjx4xETE4PMzEzMnz8fVVVVOHXqFMRicYMxcZ1cOcKyLLIUWdZE61zpOVwovYArFVdo8OImWHPXGszsM9OlYw/lHMLQz4b6fdf6UpEUCcEJiAqKQpgkDOGScIRJwqzLIQEhCAkIgTxAbl0OCQiBiC/iOnRCCPEpvppc9ezZExkZ1C63JSvXlGPBvgVYf3w916FwomdsT3w4+kOvt6vyeHL12GOPYdWqVdZ2VxZqtRpPPfUUPv7440ad7/3337cOIty9e3e8++67SE9PB1AzaHBSUhI2btxoPf7ChQtIS0vDnj17MGzYMLtzaTQajBs3Dv/88w8UCgXi4uIwfPhwvPrqqy6P2u2LyZUzepMeVyqu4ELpBVwou4DM8kxcrriMy+WXcbXyKlhwPka0TwqXhOPy05cREhDi0vG/5f6Ge7beg9LqUs8G5oMkAonDpCtEXHebJVELDwxHRGAEgoRB9ESTENLiUHJFuPZb7m+YsXMGzpac5ToUr5CKpFg6eClm953tUs0jd/N4csXn81FQUFBnkN/S0lLExMTAaORuwDB38Kfkqj5aoxZZFVm4XH75xnQ98cpWZMPMmrkOkVPz+s3D2yPedvn4KxVXcPeXd+NMyRkPRtWyiPgihEtqEq3wwPCaxMtmPU4Wh9by1mglb4VYWSx4TJM6MCWEEK+i5Ir4Ar1Jj7f/eBuvHHoFWqPvfR7dxRc6rPBYcqVUKsGyLEJDQ3Hp0iVERkZa95lMJvzwww9YsGAB8vPzmx69D2gpyVV99CY9chQ51qTrUvklXCy7iHOl55Bbmct1eF4h4Alwcc5FJIcmu/wag8mAL05+gdd/e71R4z+Qhgl5QiTKE9Fa3hqtQ1qjVXArtA5pbV1PDE6EWNBwtV5CCPE0Sq6IL8ksz8TMH2dy2g7KE7zZYUVDPJZc8Xi8eqv4MAyDJUuW4MUXX3Q9Wh90MyRX9VHr1bhQdgHnS8/jXMk5nC45jT+u/tEiu4t/b+R7mNN3TqNfZzQbsfX0Vrz+2+s3TZG8L4iRxqC1vDWSQ5PRNaoresb2RI/YHogKimr4xYQQ4iaUXBFfw7Istpzegrm75/r9/RoXHVY0xGPJ1cGDB8GyLO644w5s374dYWFh1n0ikQitW7dGXFxc0yP3ETd7cuUIy7K4VH4Jh3MO41DuIRzOOYwsRRbXYTXbfR3vw7b7tzX59SzLIqMgA1tOb8H2c9uRrch2X3DEZfGy+JpEK6YHesb2xIDEAYgMimz4hYQQ0gSUXBFfVaGpwIJ9C/Dh8Q+5DqVJuOqwoiEeb3OVk5ODVq1atdiG6pRcuSZPmYfDuYdxOOcwDucexqniU1yH1GiRgZEoer7ILZ9llmVxsewidmfuxoHsAziafxTXlNfcECVpiu4x3TE0eSjGtB+DWxJvAZ/Hb/K5qg3VKKvmbiwPCz6Pj1hpbIv87jWYDChUuTZGoqfFymI5aTDtDSzLwsyaYWJNMJlNTudm1gweU1NbhcfwXJ74DL9Ffj5ro+SK+Lrfc3/HjJ0z/KadONcdVjTEI8nVyZMn0blzZ/B4PJw8ebLeY7t27ep6tD6IkqumuVB6AeuOrcMnJz5Bpa6S63BcdmbWGXSM7OiRcxeqCnE07yj+zvsbR/OP4mj+UZRryj1yLeJcjDQGEzpNwNx+c5EUktTo15tZM/Zm7sUHGR/g+wvfczr8Qc/YnpjVexYmdpmIQGEgZ3G4S54yD+uPr8eHGR+iQFXAWRxSkRQPdX4IM3rPQM/YnpzFUZvRbIRSp0SltrJmrqt0vqyrtB5ru6wxaqyJkzc6MhLyhBDxRRDyr88bWBfzxQgQBEAilEAiuD4JJTXbri872hYkDIJUJLWbAgQBXknuKLki/sBfOrzwhQ4rGuKR5IrH46GwsBBRUVHWtleOXsowDEwm/x53iZKr5lHr1fjfn//D0kNLoTPpuA6nQavvWo1ZfWZ55Vosy6JAVYCsiixcqbiCLMWNeVZFFq4pr1H3+R4k4AkwqcskLBy4EO0jXB+Pz1Z+VT4+/udjrD++ntPOX0ICQjC121TM7DMT7cLbcRZHU7Asi1+zf8Wao2uw4/wOTpPVHjE9MKPXDDzU5SGv1e1nWRZF6iJkVWRZ/+1fqbiCa1XXrImRZV5tqPZKTC0Fj+HVSbjsJqEULw96Ga1DWjfrOpRcEX+SWZ6JWT/Nwp7MPVyHYseXOqxoiEeSK9uqgDk5OfUe27p18760uEbJlXv8ee1PjN0y1ucbVk7rMQ3r7/aNwfh0Rh1yK3PtEq4riivIVmSjSFWEkuoSn3765C8YMHiw84NYO2ot5AHyJp3DZDZhT+YefJDxAX64+AOnQxsMSxmGWX1mYXS70T5ZncKiUluJz/79DGuOrcH50vOcxREoDMTEzhMxo9cM9I7r7bGSDr1Jj3Ml5/Bv0b84UXgCF8ouIKsiC9mKbGiMGo9ckzTs72l/o098n2adg5Ir4m9YlsXWM1sxd9dcFKmLOI3FFzusaIjH21yVlZUhPDwcAHD16lWsX78eGo0Gd999N2699damRe1DKLlyn6yKLPRe39unq8Ld3/F+fHX/V1yH4RKWZaE2qFGiLkFpdSlKqktQoi5BSfX19evLFdoKlGvKUaGpmftDCSIXOkZ2xA8Tf0BKaEqzzpOnzMOGfzbgo+Mf4aryqpuia7yE4ATM6DUD03pOQ4w0hrM4avu38F+sOboGX5z6gtOSmK7RXTGj1wxM6jKpyUl1fUxmE44XHMfeK3ux78o+/H71d+hNerdfhzQPJVfkZlahqcDD3z6Mny79xMn1IwIjsGvSLp/rsKIhHkuuTp06hTFjxuDq1ato27YttmzZgjvvvBNqtRo8Hg9qtRpff/01xo0b19y/gVOUXLnX5lObMembSVyH4dTw1OHY/fBursPwKI1BY5dwOVy+Pi/XlKOsugyl1aV+1XauqSICI7Bz4k6kJ6Q3+1wmswk/X/4ZH2R8gJ8u/cRZaZaAJ8D4DuMxq88s3NrqVk46GNAZddh+bjvWHF2D36/+7vXrW0gEEkzoPAEzes1Aeny6298Lg8mArWe24tvz3+KXrF+g0Crcen7ifpRckZvdm7+9iQX7F3By7e4x3fHPjH84uXZzNCY3aFT9kfnz56NLly7YtGkTPv/8c4wePRqjRo3C+vU1VaqeeuopvPHGG36fXBH3mth5Ipb/sRwnCk9wHYpDGkPLr54jEdY0AI+TNW6oBIPJUJNsacpQoi5BflU+riqvIrcy98a88irKNNz3pNdUpdWleOz7x3DyyZPN6lEQqOnNb3S70RjdbjRyK3Ox4fgGfPTPR8iv8u7A6kazEVvPbMXWM1vRKbITZvWZhUe6PuKV6hc5ihx8kPEBPjr+EUqqSzx+PWc6RXbCjF4z8Ei3RxASEOL281cbqvHR8Y+w4o8VnJZWNodt5xCBwkBIBNfnQgmEPCH4PH6d3gAZMGDBwmQ2wWg2WnsXtF02sdfXzSboTXpojBpUG6qhMdTMuWxjRwghntao5Oro0aP45Zdf0LVrV3Tr1g0ffvghZs2aBR6PB6AmuerXr59HAiX+i2EYjG472meTK7FAzHUIPkvIFyJaGo1oaTRQz7BRar0a15TXkFuZi8yKTBwvOI5j+cdwqvgUjGaj9wJuorMlZ7Hl9BZM6uq+EtZW8lZYMngJ/jvov/jx4o/4IOMD7Lq8y+sdlpwpOYPZP83G/+37P0zuOhkz+8xE56jObr2GpTfFNcfWYOfFnZyV2In5YjzQ6QHM6DUDAxIHeKzEbvfl3Xj424dRWl3qkfM3R6w0Fh0iO6BdWDukhKYgRhqDqKAoRAVFITwwHIHCQAQKAxEgCACP4XESo8FksEu4bJdVepVdhx62vR/WWb8+94fvGELIzaNRyVV5eTliYmrq8UulUgQFBSE0NNS6PzQ0FFVVVe6NkLQIAxIHcB2CUzKRfzSm9GVBoiC0j2iP9hHtMQzDrNsVWgV+vPgjPvrnIxzIPsBdgC5Y/sdytyZXFgKeAGPTxmJs2lhkK7Lx0fGPsOGfDV4f00mlV2HNsTVYc2wNbmt9G2b1noV7OtwDEV/U5HOWa8rxyT+fYO2xtcisyHRjtI2TFpGGGb1mYHK3yQiThDX8gmb44+ofuPere32qF7+esT0xodMEjGk3BmkRaT4/zpSQL4SQL0SwuPnV7lmWhVKnRGl1aZ3J0ha19uTr7w8hxL81ulup2l9K9CVFXCEVSbkOwammjHtEXBMSEIJJXSfhoS4PYcvpLXh619M++bQfAM6XngfLsh79TksKScLSO5Zi0aBF+OHiD/gw40Psydzj9dKsQzmHcCjnEKKDojG953Q80euJRo0vciz/GNYcXYMvT3/JWe+VIr4I93W8DzN6zfBauzKtUYvRm0f7VGI1vsN4bL1va7OrtPorhmEgD5BDHiBHalgq1+EQQkjjk6upU6dCLK6pRqXVavHkk08iKCgIAKDTtaweyRb/uhil5lLc2+FeDE8d3iIG7OQK191+1qe13L+HDvAHDMNgYpeJCJOE4c5Nd3IdjkPNKcFpLCFfiHs73It7O9yLrIosrD++Hh//87HX/50UqYuw9PBSvP7b67i7/d2Y3Wc27ki+w2F1MY1Bg61ntmLN0TU4mn/Uq3HaahfeDk/0fAJTuk9BRGCEV6+dWZ6JCm2FV6/ZkGxFNk4WnUSP2B5ch0IIIQSNTK6mTJlit/7www/XOWby5MnNi8iHKHQKfH7uc3x+8nMECgNxZ5s7cW/avRjVbpRHGki3ZN+e/5brEJxqqOSqWF0MpU6JpJAknx5DyB/ckXwH1yE4lRyazElJfHJoMl4f8joW374Y31/4Hh9kfIB9V/Z5NQYza8aO8zuw4/wOtAtvh5m9Z2JKtykIlYQiszwTa4+txcf/fMxZYiHk1SSjM3rNwO1Jt3NWYyIlNAWt5a2RU1n/WI/elFGQgZ4f9kT/hP64J+0e9Ijtgfbh7REtjfbqAwNCCCE1GnWn+Mknn3gqDp9XbajGN+e+wTfnvoGQJ8QdyXdgZJuRGJoyFB0jO1L1yHootAp8c+4brsNwqqHG/b9k/YKJ2ydCyBOibXhbtA9vj/bh7ZEWkYb2Ee3RNqwtwiRh9Blwweqjq7kOwakZvWZwen1LNbf7Ot6Hy+WXsT5jPT458YnXe9y7WHYRz+5+Fi/sfwHdY7rjyLUjXr2+rdTQVDzR6wlM7T4VUUFRnMVhIRFK8N2D32HAxwN8qmogABy5dqTO/6uIwAjESmMRK4utmUtjERIQgmBxMGRiGWQimXU5WBxsXQ8UBtL3GSGENBE9hm8Cg9mA3Zm7sTuzZmykGGkMhiQPqZlShqCVvBXHEfoOM2vGjJ0zOGuX0ZDkkGSX6+kbzAacLTmLsyVn6+yTiWRICklCcmgykuTX5yFJSA6pmXtiwFJ/cqXiCpb/vhzrj6/nOhSH2oe3x/Se07kOw6pNWBu8OexNvDL4Few4vwMfZHyAX7N/9WoMGqOGk8RKwBNgXNo4zOg1w2kVRS51i+mGo9OPYuH+hfj+wvdch1MvSwcOp4pPNep1PIYHqUhq7VnQdgoSBrm8PUgUBKlICplIBqlIWrMsllGJGiGkRaPkyg0KVYXYdGoTNp3aBABoG9YWQ5KHYGjKUAxOHuzx3qt82cJ9C/HVma+4DsOpoSlD3XKeKn0VThWfcnoTExoQ6jD5ipPFIU4Wh8jAyBbXIL1CU4HDuYex9cxWbDm9hbPuuV3x1rC3IOQLuQ6jDrFAjAmdJ2BC5wm4WHbRWprlz+OKOZMckozpPafj0R6PIkYaw3U49eoY2RHfPfgdfsv9Dav+WoVdl3dBpVdxHZbbmFkzlDollDqlR84v5AmtiZZt8hUsDkZkYCSigqIQGRRp7ULe2pW8JLzFfU8SQloeSq484FL5JVwqv4R1GevAgEHP2J7WZGtgq4GQCCVch+hxRaoiPPXzU9h2dhvXodRrWMqwhg9ygwptBSoKK/BPoeNRyfkMH1FBUYiTxVmr8EQFRSEiMKLOFC4JR5AoyCee6FtuwvKr8nGh9AIull3EhbILyCjIwKmiU17vBa8pZveZjTHtxnAdRoPahbfD8uHLsfSOpfjm3Df4IOMDHMw5yHVYzcJn+Li7/d2Y0WsGhqUO84nPdGMMbDUQA1sNhNaoxf4r+7Hj/A7sztztt4MKe4vBbKj5TmxkGz4GDMIDw+0SLksyVns9UZ5InVARQjhByZWHsWCRUZCBjIIMvPXHWxDxReiX0A994/qid1xv9Invg+QQbhrSe4LBZMDnJz/Hf/b+B+Wacq7DqVdkYCTGtPeNm2oTa0KBqgAFqgKgwLXXBAlrqtxYqt5IRVLrNkfrAYIA8Hl88Bl+nTkLFkazESazCUazsWaZNUGtV9fcBGkqrDdD1mVNBRRahV8kUI4ECgPxwegP8HDXuh3z+DKxQIyJXSZiYpeJOF96Hh9mfIhP//3U5/+92Wolb4XpPafjsR6PIU4Wx3U4zRYgCMCodqMwqt0oAECeMg9/XvsTp4tP42xpTVXiC6UXYDAbOI7Uv7FgrVUdHVXPrq2VvFWdNrIdIzu2iM8cIcR3UXLlZXqT3jrGjEWYJAy943qjd2xv9IrrhY6RHZEamuqT1ZScyVHkYPOpzViXsQ65lblch+OSGb1mIEAQwHUYTaY2qKE2qAE115H4n3bh7bD9ge0Ndmbi69Ii0vDOiHfw+pDX8fXZr/FBxgf4Lfc3rsNyiMfwMLrdaMzoNQMjUke06Opd8cHxGN9xPMZ3HG/dZjQbcaXiCs4Un0FuZS6K1EUoVBVa54WqQhSri2E0GzmMvGXJrcxFbmUu9l7Za7c9ThaH9Ph0DE4ajLFpY6mdNCHErSi58gHlmnLsydyDPZl7rNssPdN1jOyIDhEd0CGiA9pHtLdWF+P6xqS0uhSHcw7jYM5BHMw5iBOFJziNp7EEPAFm9pnJdRjEy2KlsXiy95OY228ugsXBXIfjNgGCADzc9WE83PVhnCk+gw8zPsRnJz+DQqvgOjQkBCdgWo9peLzn40gITuA6HM4IeAK0C2+HduHtnB5jZs0o15SjSHUj4aqdhFn2lVaXwsSavPgXtBz5Vfn49vy3+Pb8t3h619PoHtMdY9uPxSNdH6GBiAkhzUbJlY+qr2c6HsNDZGAkYqQxiJHGIFYWi5igGPv168sykaxJVQ61Ri2uKa8htzIXVyuvWp8A5ipzkVWRhUvll9zxZ3JmVu9ZVDXkJnJL4i14qu9TuLfDvX5VItwUnaI6YdXIVXhj6Bv435//w4u/vMhZLNvu34ZxaeNofDgX8RietW1lp6hO9R7Lsiy0Ri2q9FVQ6pSo0lXZLSt1SlTpq6zb1Xq1tbRbpVfdWNfbb/PXar7NcaLwBE4UnsBrh1/DjF4z8PKgl32i639CiH+iXzw/ZGbNKFIXoUhdhH+L/q33WIlAgmBxMER8EUR8EcQCsXVZyBNCb9JDZ9JBZ9RZ51qjlrPBQr0hXhaPpXcs5ToM4mFhkjDck3YPZveZjR6xPbgOx+skQgkGJw3mNIYRqSMosfIQhmEgEUogEUrclghYErbaSZclWVPqlKjUVd5Y1lZCqVfarSu0ChSpi6A36d0SkzcZzUasProan/77KfY+shf9EvpxHRIhxA/5xK/e6tWrsXz5chQWFqJbt25477330LdvX4fHbty4EY8++qjdNrFYDK32xjhKLMti0aJFWL9+PRQKBW655RasXbsWbdu29ejf4Ys0Rg00Rg3XYfiU9+96HzKxjOswiJsJeAL0jO2J4SnDcVfbu9A3vi/n1WcJ8Se2CVtEYESTz8OyLMo0ZchT5iGvKs86v6a8hlPFp3Ci8IRPJ18qvQr3br0XGU9kIFYWy3U4hBA/w3lytXXrVsybNw/r1q1Deno6Vq5ciREjRuDChQuIinL8NC44OBgXLlywrteu9vbWW2/h3Xffxaeffork5GT897//xYgRI3D27FkEBPhvBwak+R7v8TjGpY1r1GuGpQzDrkm7kF+VjwJVAfKr8u2WC6oKqBcwLxPzxWgT1gZpEWlIj09H/8T+6BXb66YY5oAQX8cwjLV6Y7eYbnX264w6bD2zFW/89gbOlZ7jIMKGFagKsPnUZjw34DmuQyGE+BnOk6t33nkH06dPt5ZGrVu3Dj/++CM+/vhjLFiwwOFrGIZBTIzjQSZZlsXKlSvx0ksvYezYsQCAzz77DNHR0dixYwcefPBBz/whxOcNSR6CtaPWNvp14YHhGNFmhNP9lqe0BVUFDhOw0upSlGvKUVZdhjJNmU8/sfUlDBi0kreydgLQPry9dbmVvBWVShHip8QCMSZ3m4yHuz6MSd9MwpbTW7gOySGpSMp1CIQQP8RpcqXX65GRkYGFCxdat/F4PAwdOhRHjhxx+jqVSoXWrVvDbDajZ8+eeP3119GpU03j36ysLBQWFmLo0KHW4+VyOdLT03HkyBGHyZVOp4NOp7OuK5WeGZWecKdjZEd8/cDXHunMwPYpbZfoLvUey7IsNEYNyqrLUK4pr0m6NDbL17dbttk2RLc0OPfnHsIEPAEiAiMQGRiJyKBI66CflnXLAKCRQZFoLW9NJVHEJ932yW2o1FVaOw6y7VDIdgoJCGkxYxh6QrG6GBdKLzR8IAday1vjng73cB0GIcQPcZpclZaWwmQyITo62m57dHQ0zp8/7/A17du3x8cff4yuXbuisrISK1aswIABA3DmzBkkJCSgsLDQeo7a57Tsq23ZsmVYsmSJG/4i4osGthqI7Q9sR0hACNehgGEYBAoDESgPRKI8sdGvZ1kWepO+JtFy0NOXZZtKr4LBbLAbFNgyMLDduu1+9sY6wzDgMTzwGB74DN+6bFmXCCWQCCSNmsvFcrrZJC1CSXUJzpeex8mik/UeJ+KLEB0UbZdwRQZGIlQSijBJmMPJn8feawjLssitzMXuzN34/sL32HdlH3QmXcMv9LJgcTB+fOhH6jGQtFgdIjvgwc7c1ORqLW/NyXW9ifNqgY3Vv39/9O/f37o+YMAAdOjQAR988AFeffXVJp1z4cKFmDdvnnVdqVQiMbHxN77E9zze43GsGbUGIr6oSa9nllAicDNhF9183VATz9Gb9LiqvIqryqsuv0YikNRNvgLCIA+QQyqSIkgYhCBRkNO57TFivtijDzMsJfGOunUvVhejoKoABaoC5FXl4WLZRZwvPQ+VXuWxeNyhd1xvrLpzVYNd4RNiix4aNs6beJPrEBqtsrLS5WM5Ta4iIiLA5/NRVFRkt72oqMhpm6rahEIhevTogcuXLwOA9XVFRUWIjb3Ry09RURG6d+/u8BxisRhisbgJfwHxVTyGh3eGv4On05+mLz1CiN/QGDXQVGmQX5Xf7HPxGB7EfDEEPIHDic/jO9zOY3gws2aYzCaYWbN1MpqNqDZUWxOpakN1ixkXq298XywatAgj24yk3wxCSLNwmlyJRCL06tUL+/fvx7hx4wAAZrMZ+/fvx5w5c1w6h8lkwqlTp3DXXXcBAJKTkxETE4P9+/dbkymlUom//voLM2fO9MSfQXxMZGAkvrj3CwxPHc51KIQQwhkza6ahOOrRJaoLhqcOx+h2ozGo9SBKqgghbsF5tcB58+ZhypQp6N27N/r27YuVK1dCrVZbew+cPHky4uPjsWzZMgDAK6+8gn79+qFNmzZQKBRYvnw5cnJyMG3aNAA1RbNz587F0qVL0bZtW2tX7HFxcdYEjrRMfIaPOX3nYPHti32ifRUhhBDfESeLw+CkwRieOhxDU4YiThbHdUiEkBaI8+RqwoQJKCkpwcsvv4zCwkJ0794du3btsnZIkZubCx6PZz2+oqIC06dPR2FhIUJDQ9GrVy/88ccf6Nixo/WY+fPnQ61W44knnoBCocDAgQOxa9cuGuOqBRvUehDeHfkuukZ35ToUQkgL1y68HdR6NRRaBar0VVyHQ2qJk8WhTVgbtA1ri7SINHSP6Y5u0d0QGRTJdWiEkJsAw7Jsy6gw7UZKpRJyuRwv//wyVhxfgWpDNdchESfGtBuD+bfMx8BWAz1yfurQ4ubS0jq0OHL1CAZ8PICz6ysXKCETyzi7vjcYzUZUaitRoa2AQqtAheb63Mm6Qquwdvpg6eWTqu65JkwShhhpDGKlsYiVxSImKAaxsljESmNrtstikRiciCBRkMdjkUgk0Gq1Hr9OY/Xs2RMZGRlch3HToSqlLV9lZSXkcjkqKysRHBxc77Gcl1z5sucGPIeXhr2EU8WncOTqERy5VjNdqbjCdWg3tWBxMO7rcB+eG/AcOkZ2bPgFhBDiIQKeAOGB4QgPDG/yOUxmU52Ey7Js3Xa9EwmdSQetUQudUQedSQedUQetqda6UVtnWW/SWzumsHRUYWJN9W5zxDIcA5/Ht1u2DNlQezlAEIAg4fVeDG16M7Sb197uYF0mkkEsoI6nCCG+j5KrBgj5QvSM7YmesT0xu+9sADUDH/557U8cLziOk0Uncar4FDLLM1tMr0m+KF4Wj7Htx2Js2ljcnnR7k7tWJ6QpSkpKMHXqVOzdu9fr1x4xYgQ2btyI8PDG37ynJ6RD9xJ34wgJeU0btPvy5cuYMGECTp065eaIGjZr1iy8+eabDnuQ/fvvvzFwoGdKyX0FAwb86/+xYAEGNZO5Zh8ACAQC8Pn8OpOj7QKBACaBCcYgI8wyMxAM8GQ88GV8iIJFEMvEkMgkCAoOgkwmg0wmQ3BwcM1cGAyZWIaAgAAqGSCE+A2qFuiApVqgK0V/Fiq9CmeKz+BU8SlrwnWy6CTKNeUejrbl6hTZCePSxmFs+7HoFdcLPIbX8IuIT1VlbEnV7MxmM9566y289NJLMJlMXr12q1at8NVXXyE9Pd2r1+XC9u3b8eijj6KqyrttmeRyOTZs2IDx48c7Peavv/5Cv379vBgVAQA+n4/g4GDExMQgISHB6RQaGuq1JIyqBRJb/pb8061/4zUmN6CSKzeRiqRIT0hHesKNmx+WZVGgKqhJtopO4WRxzfxsyVkYzAYOo/VNYZIwdIvuhlFtR2Fs2li0CWvDdUiEWPF4PCxYsAC33XYbJk6ciNzcXK9dOzc3F7feeiuWL1+Op59umWO36fV6zJ8/H6tWrfL6tfv164cvv/wSSUlJXr82aZjJZEJFRQUqKipw7tw5p8dJJBIkJyejQ4cOSEtLQ4cOHdC5c2d07NgRQmHTSlEJIaSxKLnyIIZhECeLQ5wsDne2udO63WAyIFuRjSsVV5BZkYkrFVesy5nlmVAb1BxG7XlBwiB0jupcZ4oOim6RN42kZRkwYABOnDiBadOm4ZtvvvHadQ0GA+bOnYtDhw7h448/hlwu99q1PS03NxcPPPAA/vrrL69fe8GCBXjllVfo5rsF0Gg0OHv2LM6ePWu3XSwWo2vXrujduzeGDBmCoUOHtqh/P4QQ30LVAh1oSrVAd2FZFqXVpcirysM15TXkKfOQV5VnnV9TXkNpdSkUWgV0Ju7aUtSHAYOQgJCaRt6ScLQJa2OXRLWSt6Iqfh5E1QK9g2VZrFu3Ds8++yx0Ou/+W0xJScG2bdvQs2dPr17XE3788UdMnjwZ5eXerUIdFRWFzz//HMOHuz7YOFULbBkEAgFuueUWjBw5EiNHjkSXLl0a/WCPqgUSW/72YJhu/RuvMbkBJVcOWN7A8+fPQybzbjfCIpEIERERLh2rNWpRqa2EQqtApe76vNZ67WWtUQuj2WidTGbTjWXWBAFPACFPCAFPULPMv7EcJAyyJkxhkjCES8Lt168vhwSEgM/jN+rvZlkWhYWFnPyDl0gkCA0N9fp1PYWSK+86efIkJkyYgPPnz3v1umKxGKtWrcITTzzhdz/sAGA0GvHf//4Xb7zxhtevPWzYMHz22WeIiYlp1OsouWqZUlJSsHDhQkyZMsXlEkxKrogtf/sOplv/xqM2V27y0Ucf4bPPPkNxcbFXrztkyBA888wzuOuuu8DnO09SAgQBCJAGIFoa7cXo3Eur1eLLL7/EqlWr8O+//3r12u3bt8fs2bMxefJkr16XtCxdu3bFsWPH8NRTT+GTTz7x2nV1Oh2efPJJHDp0CB988AGkUqnXrt1c+fn5mDhxIg4dOuTV6/L5fCxduhTz58+3G5y+JXj66afx1ltvuf28ZrMZJpMJRqPROtfpdNY2UM6ma9eu4eLFiygqKnJ7TO525coVTJ8+Ha+//jpeeuklPPLII1RNlBDSZFRy5YBtdioWi7F9+3asXr0af/zxh1fjSElJwZw5c/DYY4+1uPrheXl5WLt2LT744AOUlpZ67bo8Hg9jx47F7Nmzcccdd/jd0yZXUMkVdzZt2oQnn3wSKpXKq9dNS0vDtm3b0LlzZ69etyn279+Phx56yOsPrVq3bo0vv/wS/fv3b/I5fLnkat68eXj77be5DqOOyspKnD17Fr///jsOHz6M/fv3Q6327XbFQ4cOxU8//VRvgkUlV8SWv91L0K1/41G1wGZy9gaeOHECq1evxqZNm6DRaLwWT1BQEKZOnYqnnnoK7du399p13Y1lWfz5559499138fXXX8NoNHrt2lFRUZg+fTpmzJiBxMREr12XC5RcccsyRtPx48e9el2JRIK1a9diypQpXr2uq8xmM1577TUsWrTI6z/s48ePx0cffYSQkJBmnYeSq+arqKjA2rVrsWrVKq8n2I3x+OOPY/369U5vmlNSUlCtrfZyVHUxYOzaMHfp0gW7du3iMCL3MJgMKK0udTqYtbcwDINwSXiDA1j7W3JF6ufoN4qSq2Zq6A2sqKjAxo0bsWbNGly+fNmrsd155514+umnMWLECL+p1qLX6/HVV1/h3XffxdGjR7167QEDBmD27NkYP368w0FBWyJKrrin0+mwcOFC/O9///P6tR977DG89957CAwM9Pq1nSkpKcHDDz+MPXv2ePW6YrEYK1euxIwZM9xy80PJlftUVFSgT58+yMzM5DoUp77//nuMGTPG6X6tUYsiVREKVYUoVBWiSO14uVBViGqD5xIxPsNHtDQasdJYxEhjbsxl9usx0hhIhBKPxdEQlmWh1ClRqCpEgaqgZl5VYL9+fV5a7dkaLXKxHNHSaOv7EhMUY78ujUF0UDSigqIg5DdcRZSSq5aFkisPcPUNNJvN2Lt3L1avXo2dO3d69Wlsu3bt8NRTT2HKlCle73TDVUVFRVi3bh3WrVuHwsJCr11XIpFg0qRJmDVrFnr06OG16/oKSq58x86dOzF16lSUlZV59bpdunTBtm3bfKKk+7fffsODDz6IvLw8r143LS0NW7duRdeuXd12Tkqu3Gvp0qX473//y3UYTr322mt44YUX3HIulV5ll2w5S8oKVYUeHQdTLpZbky67RKxWQhYuCXc5YTCajShWF9ebLFm2a4yeq/UjEUjskiNLgmS3Lo1GdFC025NMSq5aFkquPKApXbFnZ2dj3bp1+Oijj7x6IxUcHIzHHnsMc+bMQWpqqteuW5+MjAysWrUKW7duhV6v99p127Rpg1mzZmHq1Kktqve/xqLkyrfk5eVh0qRJOHjwoFevK5VK8dFHH2HChAleva4Fy7J4++23sWDBAphMJq9e+7HHHsO7776LoKAgt56Xkiv3USgU6Nu3Ly5dusR1KE7t2LEDY8eO9eo1WZaFQqtwmnjZrheriz1WbU7IEzosDdOb9ChU2ydRJeoSsPDMd70ljoZKmGKkMZCKpJwlOZRctSyUXHlAc8a50mq1+Oqrr7B69Wr8/fffHoqwLoZhMGrUKDzzzDMYMmSI1/+hGwwGfPvtt1i1apVXO/5gGAajR4/G7NmzMWzYML+pKulJlFz5HpPJhKVLl+KVV16B2ezdNgSzZs3CO++849VqsRUVFZg6dSq+//57r10TAGQyGT744ANMnDjRI+en5Kr5KisrsW7dOqxcudKrNRoaa8qUKfjkk098+qbZZDahTFPmsDSsUG2/Xqbxbul5fXgMD5GBkXalSTFB9qVLluXQgFCf/n9g4Q8xEtdRcuUB7hpE+NixY1i9ejW+/PJLrw4y2rFjRzz11FN45JFH3P7ktrbS0lKsX78ea9aswbVr1zx6LVvh4eGYNm0annzySSQlJXntuv6AkivfdfDgQUyaNMnrVeR69eqFr776CikpKR6/1rFjx3D//fcjOzvb49ey1atXL2zZsgVt2rTx2DUouWq86upqnDt3Dr/99hsOHz6MPXv2oKqqiuuw6nX77bdj9+7dEIlEXIfiNgaTAcXqYkz4egJ+v/o7JzFM7jYZbw19CxGBEY0eC9PXUXLVsjQ3uaJxrjyod+/e+OSTT7BixQp8/PHHWLt2LbKysjx+3bNnz2LmzJlYuHAhpk2bhtmzZ7s9ATl58iTeffddbNq0yavd0fbp0wdz5szBAw88gICAAK9dlxB3GDRoEE6cOIFHH30UO3fu9Np1MzIy0LNnT2zcuBHjxo3zyDVYlsWaNWswb948r1YHBoBnn30Wb7zxRou6GfYFLMtax7myHevK2ThX5eXldca5unr1Ktd/hssSEhLw4osv4tFHH21xnyUhX4j44HhIRdyNhxcuCffrcTkJcRWVXDngrpKr2kwmE3bt2oXVq1dj165dXusAwzK209NPP41BgwY1+QmLyWTC999/j3fffRcHDhxwb5D1EIvFmDhxImbNmoU+ffp47br+ikqufB/Lsnj33Xfxn//8BwaD5xqvOzJv3jy88cYbbh0ktaqqCtOnT8fWrVvddk5XhIeH49NPP8WoUaO8cj1fLrkiTRcfH48FCxZg2rRpLf6h3Z1f3Indmbs5ufaz/Z7FOyPe4eTankYlVy0LVQv0AE8lV7YyMzOxdu1afPzxx6ioqPDINRzp2rUrnn76aTz00EOQSFzrLaeiogIbNmzA6tWrvVrVJykpCTNnzsRjjz2GiIgIr13X31Fy5T8yMjLw4IMPen1Ih/79+2Pr1q1uGfPt5MmTuP/++3Hx4kU3ROa6QYMGYdOmTYiPj/faNSm5ahkYhkHfvn0xcuRI3HXXXejVq1ej2+uWlpbizJkzOH36NM6cOeO1Ejoej4fU1FR06dIFXbp0QceOHRs17MKf1/5EibrEgxE6lxKagk5RnVw+XqFQ4PTp0zh9+jROnTqF3NxcD0Z3g+U97ty5Mzp16oSOHTs22CuzvyVXdOvfeJRcNZM3kiuL6upqbNmyBatXr/bqoKNhYWF44oknMGvWLKc3WOfOncO7776Lzz77DNXV3hssceTIkZg1axZGjhwJPr9l1cv2Bkqu/EtVVRVmzpyJTZs2efW64eHh+PzzzzFy5Mgmn+OTTz7BrFmzvFo1mMfjYdGiRXjxxRe9/v1AyZV/4vP56NSpE3r16oUhQ4Zg+PDhiIyMdOs1FAoFzp49izNnztglXZ7utINhGGuy1blzZ2vS1aZNGwgE/tHyQ6fT4fz58zh16hROnTplTaa8kbAmJSVZk6hOnTqhc+fOSEtLc/nhswUlVy0fJVfN5M3kyoJlWfz1119YvXo1vvrqK6+1WeDz+bj33nvx9NNP45ZbbgHLsvj555+xatUq7N271ysxAEBISAgee+wxzJw506MN0m8GlFz5H5Zl8emnn2L27NlefZABAC+88AKWLFnSqBux6upqzJ49Gxs3bvRcYA7Ex8dj8+bNuO2227x6XQtKrnwbn89H69at0aFDB6SlpaFDhw7o3Lkzunbt2uibZXcpKyuzJlyWpOv06dMeH7JFLBajQ4cO1mTLknjFx8dzlgiYzWZkZ2dbkyhLInXhwgWPD9eQkJBgTZ4siVTHjh0hlbqnDRolVy0fJVfNxEVyZau4uBgbNmzAunXrvFYMDgA9evRAVVWVV6so9ejRA7Nnz8bEiRMbVbWBOEfJlf86f/48JkyYgJMnT3r1uoMGDcKXX36J2NjYBo+9cOEC7rvvPpw+fdoLkd0wZswYfPLJJwgPD/fqdW1RcsUdiUSC2NhYJCQkOJ2ioqL8orYDy7IoLi6uU8p15swZKBQKj147JCTEroTLkniFhIS49TrFxcXWEijLdObMGajVardep7aYmJg6SVSnTp0gl8s9el1Krlo+Sq6aievkysJkMmHnzp1YvXq1V0uRPE0kEuH+++/HnDlzkJ6e7ndfSr6Okiv/ptFo8Pzzz2PNmjVevW50dDQ2b96MO+64w+kxW7ZswfTp06FSqbwWl1AoxPLly/H0009z/l1ByVUNHo8HPp9vnQQCQYPrUqkUMpkMMpkMwcHBDS7brkulUr+p4tYcLMsiPz/fYdLl6X9zCQkJdaoWdujQocHx8dRqtTVW20SquLjYo/FGREQ4TKK4evjC9XdTY9Gtf+NRctVMvpJc2bp48SLWrFmDjRs3orKykutwmiQxMRFPPvkkpk2bhqioKK7DabEouWoZvvnmGzz++OMef5Jti8fjYfHixXjxxRftGvjrdDo8++yzWLt2rddiAYA2bdpgy5Yt6NWrl1ev64wvJ1fPPvssVqxY4fHrMAzjdzeS/o5lWeTm5tZJus6ePQuNRuOx6/L5fLRt29auhMtgMNi1i7py5YpHb9RDQkLqJFGdO3f2uXsIf/s3Qbf+jed3ydXq1auxfPlyFBYWolu3bnjvvffQt29fh8euX78en332mbVKSq9evfD666/bHT916lR8+umndq8bMWIEdu3a5VI8vphcWajVamzatAmrV6/2etWhpho6dChmz56N0aNH3xRPH7lGyVXLkZOTg4kTJ+LIkSNeve7w4cPxxRdfIDIyEleuXMEDDzyAjIwMr8YwadIkrF27tsFeurzJl5MrXx1EmHiOyWRCdnZ2nVKuc+fOeX2sueaSSqV2yZNlOS4uzi8SF3+I0ZYP3Pr7Hb8aRHjr1q2YN28e1q1bh/T0dKxcuRIjRozAhQsXHD6ZOHDgACZOnIgBAwYgICAAb775JoYPH44zZ87Ydcl755134pNPPrGuN1S07S+CgoLwxBNPYPr06fj999+xevVqfP311zAajVyHZic4OBhTp07FrFmz0L59e67DIcQvtW7dGgcPHsTixYuxbNkyr/0g7tmzBz169MDcuXOxdOlSr5aWBwYGYs2aNZg8ebLf3bAQ4k18Ph+pqalITU3F3Xffbd1uNBqRmZlpTbrOnj3r1aq8rggPD7dLolq1akX/3kmLwXnJVXp6Ovr06YP3338fQE1vMomJiXjqqaewYMGCBl9vMpkQGhqK999/H5MnTwZQU3KlUCiwY8eOJsVkyU7PXj0LnUCH0upSlFWX1cw19vPS6lLojLomXccVQr4QEYERNZMk4sZyYAQigyIRERgBppqBodIAkYD7EeVZloXGqEFQZBA0PI31PbJMJeoSlGpqlis0FTCzZo/FIhVJER4YjojACIRLas2vb48IjECYJAwiPvfvnbtQyVXLtG/fPjz88MMoKiriOhSP6dq1K7Zu3Yq0tDSuQ3GISq6IhS99zxLPa+i3zN8SQyq5ajy/KbnS6/XIyMjAwoULrdt4PB6GDh3qcjWY6upqGAwGhIWF2W0/cOAAoqKiEBoaijvuuANLly512tBRp9NBp7uRICmVSgBAfHB8g28gy7JQG9R1k6/qukmY7bLW6P5xYWQiWd3kq1ZCZjuFScLA59Xfs5LOqLOL25ogWdY1pXUSKE/9bc4SJdtkyTZ5ChAEuD0OQrgydOhQ/Pvvv5g8eTL27NnDdThuN3v2bKxYsQIBAfTvlvg+f3xw5CsJoT++d4Q0BqfJVWlpKUwmE6Kjo+22R0dH4/z58y6d4//+7/8QFxeHoUOHWrfdeeeduPfee5GcnIzMzEy88MILGDlyJI4cOeKwm9Zly5ZhyZIlTfobGIaBVCSFVCRF65DWLr+u2lDdYEJWe7vaUH8XplX6KlTpq5ClyHItdjAIk4TZJShGs9EugarSV7n8N7lKLpY3KlEKk4RBLGgZ1ToJaY7o6Gj8/PPPWLFiBV588UWfqw7cFCEhIfj4449xzz33cB0KIYQQ0myct7lqjjfeeANbtmzBgQMH7J52Pvjgg9blLl26oGvXrkhNTcWBAwcwZMiQOudZuHAh5s2bZ11XKpVITEz0aOyBwkAEygORKHf9OlqjFmXVZfalYbUSst2Zu1FaXerS+ViwKNPUnO9C2YWm/ilWqaGpGNhqYIOJkpAvbPa1CLlZ8Xg8zJ8/H7fddhsmTpyI7OxsrkNqsgEDBmDz5s1o3dr1B1OEEEKIL+M0uYqIiACfz6/ThqCoqAgxMTH1vnbFihV44403sG/fPnTt2rXeY1NSUhAREYHLly87TK7EYrFfdHgRIAhAfHA84oPjnR4z/PPh2HuFmzGxxqWNw4rhnu8KmBAC9OvXD//88w+mT5+Or7/+mutwGoVhGCxcuBBLliyhHkQJIYS0KLyGD/EckUiEXr16Yf/+/dZtZrMZ+/fvR//+/Z2+7q233sKrr76KXbt2oXfv3g1e59q1aygrK0NsbKxb4iaEEF8QEhKCr776CuvWrfObtkoxMTHYs2cPXnvtNUqsCCGEtDic/7LNmzcPU6ZMQe/evdG3b1+sXLkSarUajz76KABg8uTJiI+Px7JlywAAb775Jl5++WVs3rwZSUlJKCwsBFAzRoJUKoVKpcKSJUswfvx4xMTEIDMzE/Pnz0ebNm0wYsSIRsUmXyYH/ON+xSe8feRtvH3EP3uroga2xF8xDIMZM2ZgwIABmDBhAs6dO8d1SE6NGDECn376aZ12toQQQkhLwXlyNWHCBJSUlODll19GYWEhunfvjl27dll/fHNzc8Hj3ShgW7t2LfR6Pe677z678yxatAiLFy8Gn8/HyZMn8emnn0KhUCAuLg7Dhw/Hq6++2uiqf5ULfW8Q4fpQT0CE3Ly6dOmCY8eO4ZlnnsFHH33EdTh2BAIBXn/9dTz33HN23+eEtFRm1gy1Xo0qfRVUepV1qtJVodpQDb1JD4PZAL1J36zJzJphZs1gwdbMWdZu2XZfl6gudY5taJ3Fjd9zBjfuMSxdj1u2OVpnwIDH8KzLDFOz3nF1R4f7eQyvyROfxwef4YPP49esX1/mM3XXLcfc3f5u3J50u5c+EeRmwvk4V76oMX3Z+xJKrgjgO58DgD4LzWFmzag2VENr1EJn1EFv0kNn0kFn1DU4z8vJg0anqXMjZjAZoDfXWr9+k2diTTXjzrGoc3NV++YLgN2NmOVnxPYmyjIHAIFEAFGIqM5Nlu0Nj4AnsLv5qT0X8AQQ8oQQ8UU35nyh0+UAQYB1EvPFduu2U0hACIJEQS79P8n6KwsbHtzgmf/hzRTID0SIOAQhySEIaxuG8LbhCG8XjrC2YZAnysHwfOd7oSF5f+fh28nfch0Gej3RC/3nOW6ioDVq8de1v3C84DgKVYUoVBfWzK9PJeoSu8TEGxgwSA5Nhlwsh1QkRZAoCEHCIASJgiDiiSDgCZxOfB7f4b/d2tts5wDs/v07Wra8B7bfH5bvmtqTyXxju4k1wWQ2wWg21iyz15dtttmuW7YZTAYYzAYYzcZ6l41mI14Z/Arm9Z/n4J1swntP41y1eH4zzhUhvs5oNkKpU0KpU6JSW1kz11XarTfURb47MGAgE8sgF8shD5A7nAcKA8EwjM8lNFqjFpXaSlTqKh3OlTolTKzJ43GI+CLIxXIEi4MhD7g+v/7+WZY90eW/3qRHsbrY7sarQlMBhVZR8x7oKmuWtfbLSp3S6zdnDWKuT42lA+CjYx8vGrQIi29f7NKxQgghzPbN3k4NMKAEJSg5W1JnnyBAgNDUUGuyFd4u3Jp8BUUH+dyNoUFjQNmFMq7DQHVptdN9Sw8txfcXvke2ItsjQ5Y0Fp/hY3S70egQ0QHB4mAEi4MhFUkhFojtHkhYpoYeZjgq6bGWAl1ft91mKYG62eh0OhQUFOC3335Dfn4+8vLyUF5e7pVrh4SEID4+HvHx8UhISEBcXBxEIpFXru0tZrMZJSUlyMvLQ15eHq5du4aioiKYzWaPX1sikVjf37i4OMhkMpdfS8kVIfUQ8AQIk4QhTBLm9BiDyXAjAauVeDlad7hNW9nsBEPAE9glDHbzepIy23mQ8MaNFsuyNYmRk6TIbl7PPr1J36y/C4D1ZsFhcuRgm2XddlnMF3vkx9/MmpGtyMapolM4VXwK50vPo0BVYE2kyjXe+aGtjQGDkIAQhASEIFQSitCAUIRKQhEiDkGgMLCmREcgtpbsuLIcIAiAgCewq45jKYWyrdbDMIxLVY4sT6mNZqP1qbLtk2Xb7ZZSttqldFqjtu42kxYagwbVhmq7SW1Q31jWq72S1PsCo9aIkjMlKDlTN/ESSUXWhKt24iUJk3AQrX9YesdSLL1jKViWhUKrQLYiG9mKbORX5ds9OKrUVVpLoOubdKaaz3JTmVgTvrvwHb678J0b/8rGsXwHOEq+LKXPtqXUtdfr22dZr71PyBcigN+07zKZWGaXiPKYxldZFovFSEpKQlJSknWbRqNBfn6+NdnKy8uzLttu0+l0bnz3a0RFRVmTLdvEy3buKzWy9Ho9CgoKcO3aNWviVHuen58Pg8Hg1uvyeDzExMQgLi7OmjjZzi3LISEhdvcMSqXS5WtQckVIMwn5QoQHhiM8MLzJ52BZFhqjxpp0NTVJK9eUN+tmns/wESwOBp/HR6W2EgZz877UAgQBiAqKcp4A1So5clSq1NQfPU8wmU04nHsY/xb+i1PFNcnUmeIzXim9dETEF6FbdDf0iu2FjpEdER8cjzhZHOJl8YiRxtCYcg0wmAzWao7+JK5PHEKSQlB2sQzll8phqG76v1O9So/CfwpR+E9hnX2SMIld0mWpbhjWNgxime8PX+INDMPUPLyQhKJHbI9mnYtlWehNemiNWmiMGhhMBmv1N2vVN3Ot9Xr2195nNBvrVMGzVL+zra7naN1yXH3V9RxV1dOZdA7biqn0Krf8xrgLAwbB4mC0krdCUkiS3TSo9aBG/b5LJBKkpqYiNTXV6TEsy6KioqJOwlU7CSsqKmpUFb7i4mIUFxfjn3/+cXqMVCqtk3DVTsYiIyOb1T62qqrKacJkmRcXFzf5/M6EhITUSZJqz6Ojoz3eUy0lV/WYNm0ahEL/uTl5CA+59XwMw1gnHo/ndL328tNPP+3ScQzDQCAQQCQSQSgUQigU2i3XXq9vn1gsRmBgIIKCgiCRSPyu0TzDMDUDSwsDESOtf4y3+pjMJlTpq/DGb2/gzd/fbPzrWRMqtBVNvj4AdI7qjF8m/4JgcbBHqtlxQWfUYeOJjVj+x3JkVmRyGkt0UDTm3zIfg5MGo1NUJ4j43FcDqdJVwWg2ch1Gk1Ub7Kt/SUVSn05MU4amYMjrNWM2siyLqvwqlF8qR9nFMpRdKkP5xXKUXSpDRWYFTPqml85pyjW49uc1XPvzWp190hhp3cSrXTjCUsMgCLg5bi22n92Ov/P+trbzs1S5s237V996fW2gBDyB3TFCvtBaYuOPVfBYloXBbIDGoLnRuYe+CiXqEpwoPIH1x9cjS5HFXXxgUamrtD40AwAxX4xbWt0Cg8mACZ0nuPV6DMMgLCwMYWFh6NKli9PjjEYjCgsLHSZetklZY0pVVCoVzp8/j/Pnzzs9RigU2iUptZOwwMBAu6p6tZcbE48rRCJRvaVM8fHxiI2NRVCQa+1nPe3m+AZsom3btnEdQh2xsbF48skn3X5elmWtk9lsdjo3mUwwGAzQ6/XWuWVZp9NBpVKhsrLSOimVSk4aTgYGBlqTrdDQUMTExCA2NtY6tyzHx8cjKSnJ736onOHz+AgJCIFcLOcsBhFfhMigSM6u7wnfnPsGT/7o/n93TXFw6kG0j2jPdRh2xn81nrPByz1hz8N7MCx1GNdhuIRhGATHByM4PhhJtyfZ7TObzKjMrXSYeCmyFGDNTf9uVhWqoCpUIedQTq2AAHkrubWEyzbxCkkKAV/Ib/I1fc3+rP1Ye2wtJ9d2VO2udpso2/ZSlqq7rnRYAdzonMa2Y4qG5mbWbK3SW7vzCK6q4FqSWbFADKlICqlICplIdmNZLENoQChipbGIkcYgVhaLWGksYmWxiAiM4LzWhEAgQEJCAhISEuo9TqVSNVgVsTFV7AwGA3JycpCTk9Pwwc3AMAyioqIaLG0KDw/3q/s0Sq78THx8PF5++WWuw6jDbDZDr9ejqqrKLrE6f/48Vq5ciYsXL3o1nurqalRXV6O0tNTpl0NERATi4uKwfPlyDB8+3OExlsaq9RXdFxQUuL1OMHCjsaqzYvv4+HinDSz/c8t/8Gz/Z90ekyuYeno8sNSxrq+6gCcaqzIMg8jIyAa/wJ3VRb+nwz1YdecqrPhjBa4qr7o1tsYa9vkwvHjri7g96Xa0DW/L+Y8/APSO6+3WOApUBThZdNJt57tZ8fg8hCaHIjQ5FKnD7asomfQmVGRVWKsW2iZeyqvNeOrMApU5lajMqcSVfVfs4xHwEJIcUpN4tQuzS8D8rUfDw8sO4wHDAxjPjIcJJphhhsnmv9rrzraxYK3bG7Ncp0dP043tLFjwA/kQy8QQBgshChZBKBUCPNj19mnpMMdZb3+OjqvddXpTlm0TPWfLDBgI+UJc+vYSBBBACCH44EMIoXVdcP2/2vtstzEsA5hQM7nYxElx/T+L4Phg9HjMcZVPX+qdt47Q61Pn6+tm1LwPPoTlsSjiF6EIRfgH16sysgCuXZ98SSOaRFJX7A5Yulv0RRKJBGlpaW4/r20JlaNSK8uyJYmyLbHS6/UwGj1bJah29UFHVQaDgoLsJkvJVUhIiF1pVWxsLKKjo91W5bN2bzaOiuzz8/NRVub+3q+Cg4MbbLwaERHhlWqSKpWq3vrVlsTJ3YKCghqsLhATE9Poce4cMZgM+DX7V2ubq5NFJ3Gu9JxbOu1oCrlYjt5xvdEnrg/ahbdDfHA8EoITkBCcgGCxbzRabootp7dg4vaJnF3fWcnVtb+uYUM/7rtiH7hwoLVaoCcYqg0ozyy/kXjZzNXFnmlfyBfzEdamJuHiCXk4u+2sR67TGPW9z69JXoNR619VYQMjAyGLk9U7BUUFgSfg/oGNxRLeEnDdaWpCvwQ8fuRxboNwI19KCH2td+P6UFfsLVhsbCwWLlzolWs5ay/lSlsqd7a5EggEPl0czOPxEB0djejoaPTs2dPpcVqttsFSsLy8PGg0GpevrVQqoVQqce7cOafHCIVCp4mXZTk2NtZpF64sy6K0tNRpwmRZdncdaz6fj9jYWJdKm7z1+RDyhRieOhzDU2+UdBpMBlwsu2hNti6WXUShqhAFqgIUVBVAY3T9/2djVeoqsT9rP/Zn7a+zL1AYiHBJOEIloQiThNX0FhgQCnmAvM7YT5ZetJyNC2XZb9tTYO3eAS3LAOqtNmTbQN62V0Dbxu6nik557D0jDRMGChHdJRrRXaLr7NNWalF+2XHipVU0o7c7nclpj4bEMb6Yj4CQgJqE14V71OqSalSXVKPoX+cPuRgeg6CoIGuyJY2T1k3CYmUIjAwEj+87SRghvoSSKz8TFhaG+++/n+swSBMEBAQgOTkZycnJTo9hWRYKhaLehqv5+fkoLCx0ueqcwWBAdnY2srOz6z0uOjramsTYNlbNy8uDXu/ekpmwsLAGS5siIyPB5/t++wwhX4hOUZ3QKaoTHuz8oN0+lmWh0qvsumYvVBVax7JSaBVQ6BT269en5rZRsHQ5znU1Rn/BgIFEKIFEIPGJTkJ8VYA8AHG94hDXK85uO8uy0JRprG27aidfzenRkDgW2zMWj//xOEwGE9RFalTlV9WZVAUq63J943ZZsGbW2p6u4HiB0+MYPgNpjIPEK04GaeyN7YHhgX5V3ZMQd6Dkqh5TBkyBSOBbP7IhgSHY/dxuBMgDEBgZiKDIIARFBVmXJWESv/oi2/3cbq5DQGhyKPrO6etw344dO5Cbm+vliOzJZDK0b98e7dvf6MTAZDJBpVJBoVBAqVRCoVCgsrLSLeNmWNrM8Xg8JCYmIjExEYD9CPTWxtC15rW3CQQChIaGIjQ01NozUmhoKMRisV0JJ5/PB5/PB8MwKCkpQUVFBQQCgdOJz+c73ScWiyEUCn2itJNhagZ/lollaBfezuXXsSwLtUENjUHj0rhOljFyXN5ms6436Rsch8rZWFVm1lynQbyjhvOO9tUes6a+sWxsx8CxHQjV0VR7sFQRX4QAQQAkQknNXCCxW7bsE/Ia/szwRXzIk+TW94Ir1eJqXFNeg1QkRZAwyCd6NmQYBoERgQiMCETigES7fSzLQlWgqpN41U66LJ8trlsrWD6z4hD/6O2UL+QjOCEYwQn1V1Uy6oxQFarqTcCq8qugrWi4BJI1sajKq0JVXv0DKPOEPMhiZXVLwmLtE7KA0ACf+M72NEuviZbv5tpd5tfXlb6zfZaaAJbzO+t0BLjRls5XrM9Y77AjFWe/JbW3OWvTV1/titrbwyRhSItwb3MbSq7qEftHLAIQwHUYdfy560+n+xje9R+468lWYGSgXfJluxwYGQhJmITTov0/33H+t3hL4i2JTpOrdevWYfdu7hNAR95++22EhTkf3LipbHuOrN0Gz3bdZDLBaDRaJ4PBYJ1rtVqo1Wqo1WoUFRXh4sWLuHDhAlQqldvjdYTH4yEgIMBuCgwMtCZ4YWFhCA8Pt1vv2bMnUlJSnJ7Tl+qpE89y1g4gtkcs5mbNrTnm+iDbKr0KaoMaar3auqzSq+zW6+xr4HiX2vD978aimC9GkCjI2gOaJemqb10qktb7miBRkMNOSixj8lm607aN3bpuUNfdb7i+HqCCKk0FdYoaqsE3jmls9Vkew7OLOUgUZLdst08YVHebyPG+QGEg+DzfLzFvCoFYgJDWIQhpHVLvcQaNwT7hKriehOXbJ2E6ZcMP88yGmh4rK3Mr6z2OL+Y7LP3ysVygjqyKLOy7sg9lmjJUaCpQob0+aW7MLYNIN3egaFelhKagZ2xPyEQy6+DJIr4IYr4YQr4Qrw5+1WHPkraDwwM2D0prJT6O9gH2naA421a7mrjWqK3TOUvtZVcnS5LJsqz9uGy1xnKzHa/NzJrRI6YHlgxe4tb/B5Rc+bCwNmFIn5sOdbHaWldaXayGuuT6ell1nS8e1szWHFOsRgkarrvO8BhIwiV2iZejRMyyzHUyRm6IiYmBRCJx6zkdJVbOptpJle2yRqOxJldqtRpBQUFQKBReS67MZrO1x0gA1uRKq9VCq9VCp9NBp9PZLRcUFCA5Odnp01N/angL+FYy6G/vnSsY5no1QqEEkXDv0AMGk6FOAtaU5K20utS6rVjd+AE7JQIJpCIpAoWB0Jl01us29um3TCRDqCTULrGJCIyoSWycJUT1JUuiIIj54puipIMLQokQoSmhCE0Jrfc4vUp/I/EqqFsiVpVfU7LlSpVQk84ERZYCiiyFm/4K74gMikS3mG4orS5FaXUpyqrLUFpdinJNOaqN1dAYNNZBobVGrbV7eoPZUGfuaF9TBjm/UnEF2Ypsu9J5IV9oVxPAMn6abVJlW7pjO9Uu6XHU86Oz9TolSqh7ftskr6FJyBM6fb2AJ4CQJ7QbF87Reu19YoEY2Ypsa60GiUDS7NoAlFz5sKDoIPSd7bhEBagZw0RTpoG6RG1NwCyJl+26NTlzkoxZEreSsy4mY2ES+xKwKJtSstrVFMMpGfOUo0ePOu2Ewp1sq++5OgUEBEAikSAyMtK6beDAgU6Pt63mV1+Vv4YmPp9fp8RKJBLRTRjxK0K+ECH8EIQEhLjtnAFLA6AzNa7asMaocUuHLF/c+wXubn93s8/jSwIjAznvLVAS6t6HawDsnvo3OLaVgAUvgYfghGDIWBliEFM3GWABo8oIdaEa1QXVqC6shrpAXWfSq2pKa+sbyoMrAaHOazBJRVKkRaShUFWI9uHt7ZKX+qo7u/qbZGbNMJqNdUporMusyaV9tbc7quLt6rba1cYbmmyrMdpWbbSMh6YxaFBtqEalrhJ/5f2Fy+WX3fW/rskChYGICIxAuCQcEYERiAiMwKCYQS6/npIrP8bj8xAUVZPMoFPDx9smY7UTL3WJGtXFtZIzZ8lYabVLDWMBAAwQGF63NMxSXZE03auvvgqpVMp1GDc1M2uGWq+GUqeExqix6/FOb9JDZ6xp01S7KoLt3LY6g6O5bVUGy48cYF+3Hqg7Rs2CWxY43N7Qcn3quyFwNDCpZXnBvgVOj3F1YNPa88aOsSPii/Boj0dd/V/rEMuyUCqVKCkpqTOVlZV5dEgKPp+PiIgIREVFITIy0m4eFBTU4M3aW8PegsnMzSA3nSIb/oHS6/UoLS1FcXExiouLUVJSYp03pgfVxmIYBiEhIYiMjKwzhYWFOe1U59nc5o8jaOnwplJXCbVejWpDNdSG6/Na65ZtepPeWrJxyXwJe7/bazdwr23Jh6NtzkpIbLd5RcT1qYtrhzuqula7BMa67GS7kC+0a5dZZ/16qcaqO1c16oHc33l/4//2/V+jEhwATr//LKU/tY8BYFedz1GbIldKlRxV96u9Xnsf0Ljx0Bqqimfb7sy2PXF9peI8hlenLW5j1/kMv04PuZbecSUCCcIkYXaTpbfdMEkYWC2LJ/GkS58JSq5uInbJmAvMJjM05RqHpWKOSsiqS+smY2BhTcZKz5W6/4/ysAnSCegb47z0kEvr2q+DKECEgJAABIQEQCwXW5drT7X3iWVin+r4ZNv923D1CPe92j2T9Qz4wro3Uyq9Ct9f+B5/5/2Nc6XnUKQqQrG6GCXVJTCauXl6LRfL0TW6K6KCoqztZAKFgQgQBNjdKFiqPjh6omr742xXDaTWD7NtkmL7w2vZDjhPnIC6P9a2T6cd1d13xPKDXm+deyc3MmbW7JbSS4ZhIJfLIZfL0aZNG7t9ZrMZCoXCYeJlO5WWllqX3dEBDVBT7dVR0mW73D+yP6JiatYDAwPdct36GI1G69+a/U82jpYctUuaaidQCoXCLdfl8XgIDw93mCzZThEREda5u8Y8BACNQYPcylzkVOYgR5GDnMocFKuLodAqUKGtqJlrKtzWK6greAwPoQGhCAkIQaAwECEBIXZVoKxzB9sCBAF1qmw5SnLqVNOqdQzDMPWXgtVqi2N7M24p+aj98Mla+uGkmp1tgqk36e068lHpVQ47BtIZdVh15yqX39tHHnkEv/76a+P+f8C+No9l4GcLUz0j/bJgYf2qZGBdrrMdgCRQcuN77/qx1uu48nVoc4xtfCzLAuyNZgTXD7j+Esa678Zpaj0cs3QYw4ghYSR1ttsuWz47fB4fQoGwWTVbbDu9stSuqdMuWxSGMHlNO+yQkBC7hytKnevDzVByVY/0p9MRJPZe6UrtBnzSVlKUVpfaFaG6OtUueq2z/3qxsO0Xmm0MdbaJWLBxNZMt2xumQFMgGCUDVsGCrWSBCoCtYGvWtaz9PzDbGzEHN22Wf1w88OzmtZ++1L4BtE48+7q9fF5NMTwffAj49h/7kKQQp/9PhCoh+IXcN27uM6cP9FV6aBVa66Sr1EFTrkFFVkXjG/0yNV0q15eU1ZusBYvdWt1TXaJusNcpLklFUjzU5SE81OUhu+2Wnp80hprqU5b69a709uToGGfVLZw17HV2rNFshM6oq3PjYtsbm7Ntto2JHfYY6KTKiCWZcXQjZBnHytKou1xTjkJVYaP/P1hu2pw9na79pNJ2m5AnxPt/v29302jbc6BUJEVySDLahLVBn/g+EPAa9/PI4/GsnaPY9uzpDMuyUKlULidiJSUlTtssarVa5ObmutyzaVBQUJ1EzFliFhkZiYCAAJhMJpSXl9slRI6SJMvcXYOmC4XCBhMl24QpLCzMK4OmsyyL08Wn8e35b3Gq+JRdIuVtIr4IvWJ7oU1YG6SGpqJNWBukhKYgKigKYZIwyAPkDjsnIc1XVlaGvLw8rsNwyJXBbj3F0vGVo3bZBoMBOp0OlZWV1u+Q3NxcfPfddzh+/Dgn8TpiKdUOCwtDXFwcHnrooYZfdB0lV/W449U7nH4wWZZFuaYcBaoClGvKUaWrglKnRJX++vz6ulKnhMqgsmvU6Gy5Ti8yCgDLm/c3MGDsBgK1FH9aikRFfJHThoOOkhZHDR4tiY71hizg+hRVt3eY2jeDttWiam9zJUmsXZ3BlV62/LFx/Yh3RjgsUQFqqmrqqnR1Ei/b9fq2V+ZWgjU3/j0RyUSNS8rk9sc4+3t8VbmmHOO/Gl9vqUztkpza+5uybNGYbbb/Hh2VCDmrFgLYV/1wtG57PkeJluVhCHgAw9bEYfneEPKFMLNm8Bk+pCKpXbwArCVqtlVf6ttmSbYcbbNU+bGbeDVzmViGYHGwwylOFtfoxKopGIaBTCaDTCart5dKWxqNpk7C5SwRswxp4Iilo5mGxr6zCAoKgkajcXlsvYbOZVty1NAkk8l8ss3k8C+GY9+VfVyHgdta34ZvJ3yLMIn7e45tqlNFpzDth2lch+E2nSM7Y8PYDVyH0WhDhgyBQODe7zJ3dXpl6UzKkfraZTe35Mq2XbbDkiubHoRtexWWSCRQKpWYOXOmS+8TJVf1KKsuw+6ru3G5/DLyq/JRoCpAflU+8qvyUagqbHTj4OYIEAQgOSQZqWGpSAlJQVJIEsIDwyEXyyEPkCMkIAQykcwucRLzxRDwBD75w+QpLMtan5Jbkq3aU0vD8JiaxEUeALRu/OtZloVepXeakGkVWmgrrydnirrHlBaUwmxs/E2XMEhoTbYqc+rvppdrb775Jl544QWuw3Cof//+iI2NbdJr66vfbk2qLFU/bA61Jm+1uuY3mUx2y5YnlDqdDhqNBhqNBtXV1WAYBkJGaD1X7R/R2pPlR7GhyfY4oVAIsVgMkUgEkUhkXRaLxTVJTXDNFCwPRnBwzSSXyyGV1d+O0Zd6YbQSA4i/Ptlqfi4EAFBD7Z4TAVDz1FBDjWxk2+/QArh6ffIhzh7GfTbuM+w4vwPfnv8WZ0rOIL8q38uR1TiUcwjDPx+OIclD0Da8LdqGtUWbsDaIk8Vx9tsfHhiOBzo+4NZzvvn7myipbrjTLU/w11K/bdu2eaXkqr7OrRra7+j4loCSq3qkrEoB18NctQ1ri72P7EWiPNFn/oGfKjqFp3c9zXUYbtM5sjPeu+s9h/uSBichMNzz7ROcsZQIqPQqmIwmu7rktg2bjWZjnSpdzpZrVwWzWxaawUayYCOcn0MIIfgsH4FszfvCsjXVPlkVC1OVCWzV9bntutIEs8oMc/X1hry4UXJiYAwISg5CEIJqtjOOG9o6Kt2xPd5RvW7b6qTW+tvX91vaHNly9uVuSSB80a233orevXu79Zy2iVPtdUdjoBmNRuu4Z5bEynbMM0tipdFocPr0aRw9etRr76ez5Mo2obJdbt26NSZMmOC0J05/K/n2pWTQ3967+sTKYjGzz0zM7FPzJFtn1OGq8iqyFdnIUeTUzCtrqgqWVpdaxz3yxDhHGQUZyCjIsNsm5osRHhhu7fEsPDAcwaJgSIQSBAoDrVViLcuBwsA66wGCAAh4Aqdtq2zbVdnuk4vlmNVnlt2YSbXb7Nj+ptjWWrHtBMG2zdTqo6s5S67q0zWxK5gBvvNvzFbRL0WoDq52WKvE32qOXNl3Baoi7wzl4oyq2vXrU3JVj58m/YQ/S/5EZkWmXclVYxq1Ndel8kvo/kF3u7rUqaGpSApJQqikpoFqSEAIgsXBXku+EuWJeGGge5/iP/rdo8ir4qbessHkvHekgf83sM42k9mECm0FyqrLUKYps84rtZXWXp2sk9F+XW/SO02Qas/1Jv2NH6QV9f8NIr7IOhhmoDAQYr7YcW9ItdZtOz6oXc2zvvEqHC6LGTBiBohw3puQ7XpD3bnaNmy2/eG1tulx0sDZcoylyqhto2fb9S/u/QL9Evo19uPicywlRJ7WmCeTtbfZro8fP77eJ5ruLLkSCoUt6mko8V1igRhtwtqgTVibeo/TGrXWTi0sg8xW6aug1qut45PZzW16D9QYNfV23lB7bqlpQ2Btg2mZLL+RtpPDqsR8ETpGdHR63i5Xu0Dyh/u7xHeHXX/scrpPGChsVDvr2vsFYu+mD4dfP4zsX7O9es3atHD9wQglV/W4pdUtGNl5ZJ3tKr0KBVU3qghW6iqt7ats210pdUrrDbelfZVl3pgqhQqtAsfyj+FY/jGnxzCoGdDS0qbKtp1V7e4mLZOIL6rTo09jJ8uNS+0RuZ09mardpspyM1yl983ODI5cPYIfLv6A4wXHkVmRibLqMii0inqrU3mCkCfEpK6T0Ca0prpHrCy2Zi6NRUhASLMHvGuq7We3e/29cJdrymv4+uzXdtvu7XCvw4cUrWWtMf7W8d4KrVG6C7qjjaINRFLRjUlWMxfLxNZ1f3hSmfd3HvKO2j9kMcMMPbxbnbf93e0hT5R79ZqW7oub0oGRs06NfO3f5tqja63LjtoJujKvr+1vfb9Vtdvo2Za88Hl8yEQyJIcmN+rv8YvEnXd94jdibtMLXZPmlo+d7cfPlW0saqqysg6m+rY7mkw2yyxgvP5fY7kyRIUveCbrGRg0BpfaXtvur7hS0aTx2gQBgiYnZgEhARAEtOwmK5RcNYFUJK2p2xzetsnnMLPmmo4savUyVt+Pa+0n7w118uDsHJYxFixJkOWaznoMrF0KYdsA3bZ6F+C4Mb5l3VF3rSK+CDwBDzN7z3T4Y+nKYHyOlm27obadO9onETh/6pQoT0SnyE7QGrWQCCV1Squ81Q23wWzAmeIz0Bl11u58K7WVqNRWIlgcbO2K21Jy5a1SzEJVYd1BI5thy5kt+OPqH247X2PpX9I77AUxsSoRXQ67OCCLB8X2ioVQIoSuSge9Sg99lR7ZGdm4VH2pwdfyRXyHSZdlXSgVOtzubF0Y6P5SoUs/X8LBxQfdes6mCG8X7jS5YlnW2q12uabcWgJRe1mhVaDaUA2tUet00pv0dr1GNgWf4VsHuYwIjECoJPRGtS+BBP8Z8B+I+WLr95/lO9B27J/a2x2VZLs6r/0awHHptbNxchxVRa5djbn2wzpLT5u2pdyOxo+zJJ2OllvLW1ur+LUolgSD2/GOiYdJY6VNLk0yao3WdtWNScwsHWKVnm/8MDt8Eb9RiZm2wv3VaT2Jkqt6yOXefXJJvK+hp1IJwQmY1HUSJnWd5PC1Sp3SmmwpdUqHg0BatmkMmprqGk6qBNZXZVBv0iOnMgeXyy/bHevsyTSf4ddb1cG2WqBtj5H1dXXv6Mmx7XG139PaN1DObphsB9PNrXStK2lHarcDcDagoLOuuvkM3+efpA1ZNgSpw1LrbDebzDCoDTeSruuJl16lt0vEHK5X6lCVV2W3XVelA2tq4IktA2tJmTXpsknEXEnQaq/7OqPZiOW/L8c3579BuaYc5ZpyVGorOSkh6hnbE0/2ehKpYamICopCZGAkwgPDvdLToTM/X/oZO87vcNv59GY9juYdddv5GrL66Gq79ek9p+OZfs947fre4C8lMcR7BAECSAOkkEbX35mPMya9qVHJme2+qvwqlF10z7ANvsQnkqvVq1dj+fLlKCwsRLdu3fDee++hb1/nA7du27YN//3vf5GdnY22bdvizTffxF133WXdz7IsFi1ahPXr10OhUOCWW27B2rVr0bZt00ua/AV9cXqGz950M6ipxmFZvh6miTFBw2iggaZuFY/6ll09zpajj1x922znrIN1Z/tqVwuptW6+/l9Tqn4A/v1vh8fnQRwshjhY7JbzsSwLk87kWnLmIKGryquqc6yh2oV2YT76z8xCwBNg4a0LsfDWhdZtJrMJlbpKa8mVJelSaBV2w2zUnjRGTaNrJ9jWSshWZOP5vc/bvRYAZGJZncFgRXyRXal97VIqu3We0G6A6caUUjEMgxhpjF2plS1nD1wcPXgxsSawehZnSs40+f+XbVVBhmGcdtvvrMt/X6tW6Q4++1vmIxr7O3DX+3dBV9X4nqNNZpPdd4Fl2eF3gMlxjSTbbUsOL4EBTh7WXj+u3s6s6hnvsEmdY11fhhQ1U4L9MB52nVWZGAg0Aoi0Igi0AmtHVXbfLzadWFke5tpWD7b9vrL8G7Z0asXj2XwHgA8e78ZDWAEjsO63LFu+C+5ufzfig290wVqlqsIbA99w6f8vw3J8R7F161ZMnjwZ69atQ3p6OlauXIlt27bhwoULiIqKqnP8H3/8gdtuuw3Lli3D6NGjsXnzZrz55ps4fvw4OnfuDKCm2+Rly5bh008/RXJyMv773//i1KlTOHv2LAICGu7+T6lUUqlVC9XUj7u//SD5c6Lgi6rLqlFdWo20tDRO41BCCQM833mFJzBgILL5z1edP38ewQnBEAU5j9Fnvw8Y1LSbaWqbmea0s7Hl7OunMQ9dXNnX0NQMrnyH+uzngDRZU347DSYDzpWeQ2Z5pl2zAetcU4bS6lK7Tq8MZs99j4dLwhEni7O2zw4Rh1ibDQQJr3d6JRDX29mVo3VHiUxTarrUV7vFsgy4odMrc92Oryz7HD3Mqp3A3tX2LiQEJ1jfV0tu4MrgzJwnV+np6ejTpw/ef/99AIDZbEZiYiKeeuopLFiwoM7xEyZMgFqtxs6dO63b+vXrh+7du2PdunVgWRZxcXF47rnn8PzzzwOoGaU6OjoaGzduxIMPPthgTP6cXNFNtWfQj2jLcrMk2QB9J3gCfQ4IQJ8DUtOp04L9C3C5/DKncQh4Aqy6cxVGpI5AK3krzjq5qm3oZ0PdOr6o3qRvcvvU5jJpTPjnmX9cSq44rRao1+uRkZGBhQtvVLHg8XgYOnQojhw54vA1R44cwbx58+y2jRgxAjt27AAAZGVlobCwEEOHDrXul8vlSE9Px5EjR1xKrgjxd/QDSgghhHjW+I7jMb7jeBSpipClyLKWVpVWl9ova260y7Ztk60xatwSh9FsxOyfZgOoqSUQFRRlLb2SB8ghFdaUXElFUgQKAx22v67dPtt2n6N22Q2tMwyDjeM22lXlA+p2YmO7bFv90K7jmuulT0sPLcW2s9vc8p41WiP61OA0uSotLYXJZEJ0dLTd9ujoaJw/f97hawoLCx0eX1hYaN1v2ebsmNp0Oh10uht1ZisrKxv3h/gQpdJ7Y3AR30WfA2JBnwUC0OeA1KDPgWdIIEHH4I5A/QUadVh6jq7WV1vHMTOyRmtHVpbqa5YOroxm441l041lu32mWsusEayORZW2CkoonbeVctCmqqGeO5212bL0LA3Yt7UC6vYkXXu9oWqF96feX6ctVu3OrKw9T4PncOgFy/7anVo56gDLcpy+Wo8n3njCpYfXPtGhBdeWLVuGJUuWcB2GW/hrdUbiXvQ5IBb0WSAAfQ5IDfocENI8VVVVDf474jS5ioiIAJ/PR1FRkd32oqIixMTEOHxNTExMvcdb5kVFRYiNjbU7pnv37g7PuXDhQruqhmazGeXl5QgPD/fLOtVNpVQqkZiYiKtXrzZYn5S0XPQ5IAB9DsgN9FkgAH0OSI2b9XPAsiyqqqoQFxfX4LGcJlcikQi9evXC/v37MW7cOAA1ic3+/fsxZ84ch6/p378/9u/fj7lz51q37d27F/379wcAJCcnIyYmBvv377cmU0qlEn/99RdmznQ8QKBYLIZYbN+FcUhISLP+Nn8WHBx8U/2DIY7R54AA9DkgN9BngQD0OSA1bsbPgaslv5xXC5w3bx6mTJmC3r17o2/fvli5ciXUajUeffRRAMDkyZMRHx+PZcuWAQCeeeYZDBo0CG+//TZGjRqFLVu24NixY/jwww8B1NTdnDt3LpYuXYq2bdtau2KPi4uzJnCEEEIIIYQQ4m6cJ1cTJkxASUkJXn75ZRQWFqJ79+7YtWuXtUOK3Nxc8Hg3ehkZMGAANm/ejJdeegkvvPAC2rZtix07dljHuAKA+fPnQ61W44knnoBCocDAgQOxa9cul8a4IoQQQgghhJCm4HycK+I7dDodli1bhoULF9apJkluHvQ5IAB9DsgN9FkgAH0OSA36HDSMkitCCCGEEEIIcQNew4cQQgghhBBCCGkIJVeEEEIIIYQQ4gaUXBFCCCGEEEKIG1ByRQghhBBCCCFuQMkVAQCsXr0aSUlJCAgIQHp6Ov7++2+uQyJedujQIYwZMwZxcXFgGAY7duzgOiTCgWXLlqFPnz6QyWSIiorCuHHjcOHCBa7DIl62du1adO3a1TpQaP/+/fHzzz9zHRbh2BtvvGEdT5TcXBYvXgyGYeymtLQ0rsPySZRcEWzduhXz5s3DokWLcPz4cXTr1g0jRoxAcXEx16ERL1Kr1ejWrRtWr17NdSiEQwcPHsTs2bPx559/Yu/evTAYDBg+fDjUajXXoREvSkhIwBtvvIGMjAwcO3YMd9xxx/+3d/8xUdcPHMdfn8BLAzzQSKwOiJEMSMYEY6BZznPzKndtzdCRgOvHbGflzD/yn6RmWz/+weVsrj+gXM5aC3SMxdwVMJ3lKbs688dQWdA6QS2ZWGHe3fcP9719+eJqy/PeBzwf223cm/d93q/7/HUvPu/PIbfbrR9//NF0NBji8/m0a9culZSUmI4CQ4qLixUMBqOPgwcPmo6UkPgqdqiiokILFy7Ujh07JEnhcFgOh0Mvv/yyXn/9dcPpYIJlWWppadFTTz1lOgoMu3Dhgu655x51dXVpyZIlpuPAoFmzZun999/Xc889ZzoK4mxkZEQLFizQzp07tW3bNpWWlqqxsdF0LMRRQ0ODWltb5ff7TUdJeFy5muKuXbumY8eOyel0RsfuuOMOOZ1OHT582GAyAIlgeHhY0o0P1piaQqGQ9u7dq6tXr6qystJ0HBjg8Xj0xBNPjPmsgKmnt7dX9957r/Ly8lRTU6P+/n7TkRJSsukAMOvixYsKhUKaM2fOmPE5c+bo1KlThlIBSAThcFgbN27UokWL9NBDD5mOgzgLBAKqrKzUn3/+qdTUVLW0tKioqMh0LMTZ3r171dPTI5/PZzoKDKqoqFBzc7MKCgoUDAb15ptv6pFHHtHx48eVlpZmOl5CoVwBAG7K4/Ho+PHj7KufogoKCuT3+zU8PKwvvvhCdXV16urqomBNIQMDA3r11Vd14MABTZ8+3XQcGORyuaI/l5SUqKKiQjk5Ofr888/ZKvx/KFdT3N13362kpCQNDg6OGR8cHFRWVpahVABM27Bhg9ra2tTd3a3777/fdBwYYLPZlJ+fL0kqKyuTz+fT9u3btWvXLsPJEC/Hjh3T0NCQFixYEB0LhULq7u7Wjh07NDo6qqSkJIMJYUp6errmzZunM2fOmI6ScLjnaoqz2WwqKyuT1+uNjoXDYXm9XvbWA1NQJBLRhg0b1NLSoq+//loPPPCA6UhIEOFwWKOjo6ZjII6WLVumQCAgv98ffZSXl6umpkZ+v59iNYWNjIzo7Nmzmjt3rukoCYcrV9CmTZtUV1en8vJyPfzww2psbNTVq1e1bt0609EQRyMjI2P+AtXX1ye/369Zs2YpOzvbYDLEk8fj0Z49e7Rv3z6lpaXp/PnzkiS73a4ZM2YYTod42bJli1wul7Kzs3XlyhXt2bNHnZ2d6ujoMB0NcZSWljbufsuUlBTNnj2b+zCnmM2bN2vlypXKycnRL7/8oq1btyopKUlr1qwxHS3hUK6g6upqXbhwQW+88YbOnz+v0tJSffXVV+O+5AKT29GjR7V06dLo802bNkmS6urq1NzcbCgV4u3DDz+UJD322GNjxpuamlRfXx//QDBiaGhItbW1CgaDstvtKikpUUdHh5YvX246GgADfv75Z61Zs0aXLl1SZmamFi9erG+//VaZmZmmoyUc/s8VAAAAAMQA91wBAAAAQAxQrgAAAAAgBihXAAAAABADlCsAAAAAiAHKFQAAAADEAOUKAAAAAGKAcgUAAAAAMUC5AgDgf3R2dsqyLF2+fPlv5+Xm5qqxsTEumQAAEwPlCgAwIdXX18uyLFmWJZvNpvz8fL311lu6fv36LR23qqpKwWBQdrtdktTc3Kz09PRx83w+n1588cVbWgsAMLkkmw4AAMC/tWLFCjU1NWl0dFTt7e3yeDyaNm2atmzZ8q+PabPZlJWV9Y/zMjMz//UaAIDJiStXAIAJ684771RWVpZycnL00ksvyel0av/+/frtt99UW1urjIwM3XXXXXK5XOrt7Y2+7qefftLKlSuVkZGhlJQUFRcXq729XdLYbYGdnZ1at26dhoeHo1fJGhoaJI3fFtjf3y+3263U1FTNnDlTzzzzjAYHB6O/b2hoUGlpqXbv3q3c3FzZ7XatXr1aV65cicu5AgDcfpQrAMCkMWPGDF27dk319fU6evSo9u/fr8OHDysSiejxxx/XX3/9JUnyeDwaHR1Vd3e3AoGA3n33XaWmpo47XlVVlRobGzVz5kwFg0EFg0Ft3rx53LxwOCy3261ff/1VXV1dOnDggM6dO6fq6uox886ePavW1la1tbWpra1NXV1deuedd27PyQAAxB3bAgEAE14kEpHX61VHR4dcLpdaW1t16NAhVVVVSZI+/fRTORwOtba2atWqVerv79fTTz+t+fPnS5Ly8vJuelybzSa73S7Lsv52q6DX61UgEFBfX58cDock6ZNPPlFxcbF8Pp8WLlwo6UYJa25uVlpamiRp7dq18nq9evvtt2N2LgAA5nDlCgAwYbW1tSk1NVXTp0+Xy+VSdXW16uvrlZycrIqKiui82bNnq6CgQCdPnpQkvfLKK9q2bZsWLVqkrVu36ocffrilHCdPnpTD4YgWK0kqKipSenp6dE3pxlbC/xYrSZo7d66GhoZuaW0AQOKgXAEAJqylS5fK7/ert7dXf/zxhz7++GNZlvWPr3v++ed17tw5rV27VoFAQOXl5frggw9ue95p06aNeW5ZlsLh8G1fFwAQH5QrAMCElZKSovz8fGVnZys5+cZO98LCQl2/fl3fffdddN6lS5d0+vRpFRUVRcccDofWr1+vL7/8Uq+99po++uijm65hs9kUCoX+NkdhYaEGBgY0MDAQHTtx4oQuX748Zk0AwORGuQIATCoPPvig3G63XnjhBR08eFDff/+9nn32Wd13331yu92SpI0bN6qjo0N9fX3q6enRN998o8LCwpseLzc3VyMjI/J6vbp48aJ+//33cXOcTqfmz5+vmpoa9fT06MiRI6qtrdWjjz6q8vLy2/p+AQCJg3IFAJh0mpqaVFZWpieffFKVlZWKRCJqb2+PbssLhULyeDwqLCzUihUrNG/ePO3cufOmx6qqqtL69etVXV2tzMxMvffee+PmWJalffv2KSMjQ0uWLJHT6VReXp4+++yz2/o+AQCJxYpEIhHTIQAAAABgouPKFQAAAADEAOUKAAAAAGKAcgUAAAAAMUC5AgAAAIAYoFwBAAAAQAxQrgAAAAAgBihXAAAAABADlCsAAAAAiAHKFQAAAADEAOUKAAAAAGKAcgUAAAAAMUC5AgAAAIAY+A9E7yOCQmORPQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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+9cHjOZf6Uf4wUh8KnAghhBBCSJtmswGPPeZ/P//9L9Cnj//9kKsTBU6EEEIIIaRNW7IEOHLEvz7Cw4HXXw/MeMjViQInQgghhBDSZpWVAS+95H8/CxcCoaH+90OuXi0aOO3YsQMTJkxAbGwsGIbBb7/91mSbbdu2IT09HWKxGJ06dcI333zT7OMkhBBCCCGt0wsvAGq1f31ccw1w330BGQ65irVo4KTX65GWloZPP/3Uo+dnZ2dj3LhxGDFiBLKysvDkk0/i/vvvx8aNG5t5pIQQQgghpLXZvx/46iv/+/nkE2diCEIa06J1nG6++WbcfPPNHj9/yZIl6NChA95//30AQLdu3bBr1y588MEHGD16dHMNkxBCCCGEtDIOB/Doo/7385//AAMG+N8Pufq1qdh67969GDVqlNtjo0ePxt69e1toRIQQQgghpCUsWwYcPOhfH8HBzr1NhHiiRWecvFVSUoKoqCi3x6KioqDVamE0GiGVSuu0MZvNMJvN3MdarbbZx0kIIYQQQppPVRXw3HP+9/P660BEhP/9kPahTc04+WLhwoUICgrijoSEhJYeEiGEEEII8cNLLwGVlf710auXs24TIZ5qU4FTdHQ0SktL3R4rLS2FSqWqd7YJAJ5//nloNBruyM/PvxJDJYQQQgghzSAz01m3yV+ffAII2tTaK9LS2tSPy+DBg7F+/Xq3xzZt2oTBgwc32EYsFkMsFjf30AghhBBCSDNjWeCxx5yJIfxx553A9dcHZkyk/WjRGaeamhpkZWUhKysLgDPdeFZWFvLy8gA4Z4tmzpzJPf/hhx/GhQsXMG/ePJw6dQqfffYZfvzxRzz11FMtMXxCCCGEEHIFLV8O7NnjXx8KBfDuu4EZD2lfWjRwOnjwIPr27Yu+ffsCAObMmYO+ffvi5ZdfBgAUFxdzQRQAdOjQAevWrcOmTZuQlpaG999/H19++SWlIieEEEIIucpptcAzz/jfz8svA7Gx/vdD2p8WXao3fPhwsCzb4Oe/+eabettkZmY246gIIYQQQkhr89prwGVb3b3WpQvwxBOBGQ9pf9pUcghCCCGEENL+HD8OfPih//189BEgEvnfD2mf2lRyCNI6bN++HTqdzuf2QqGQllcSQgghxCMsC8yeDdjt/vVz663ATTcFZkykfaLAiXjFYrFgzJgxMJlMfvVTWlqKyMjIAI2KEEIIIVern34Ctm71rw+JBFi0KDDjIe0XLdUjXjl48KDfQRMA7Ny5MwCjIYQQQsjVrKYGmDvX/35eeAFISvK/H9K+UeBEvLJjx45W1Q8hhBBCrl4LFgAFBf710aFDYLLxEUKBE/EKBU6EEEIIuRLOnAHee8//fhYvdi7VI8RfFDgRj9ntduzevTsgfR0+fBhqtTogfRFCCCHk6sKyzrThVqt//dx8MzBhQmDGRAgFTsRjR44cgVarDUhfLMtij7+lvwkhhBByVVq7FvjrL//6EImcKcwZJjBjIoQCJ+KxQC+vo+V6hBBCCLmc0Qg8+aT//cydC3Tu7H8/hLhQ4EQ8RoETIYQQQprbO+8AOTn+9REfD7z4YkCGQwiHAifiEZZlAx7oHDhwAAaDIaB9EkIIIaTtys4G3nrL/37efx+Qy/3vh5DaKHAiHjl16hQqKioC2qfNZsO///4b0D4JIYQQ0nbNmQP4Wy5yxAjg9tsDMx5CaqPAiXikuZbV0XI9QgghhADOZBC//eZfH3w+8PHHlBCCNA8KnIhHKHAihBBCSHMxm4HHH/e/n8cfB3r08L8fQupDgRNpEsuy2L59e7P0vXfvXlgslmbpmxBCCCFtwwcfAGfP+tdHVBTwyiuBGQ8h9aHAiTQpJycHhYWFzdK3yWTCwYMHm6VvQgghhLR+BQXA//2f//28/TYQFOR/P4Q0hAIn0qTmXk5Hy/UIIYSQ9uvppwF/k+wOHgzMmBGY8RDSEAqcSJMocCKEEEJIc8jIAFav9q8PhgE++QTg0VktaWb0I0aa1NyBza5du2C325v1NQghhBDS+pSV+d/HQw8B6en+90NIUyhwIo0qLi7GuXPnmvU1dDodDh8+3KyvQQghhJCrT2go8MYbLT0K0l5Q4EQatXPnzqvqdQghhBBy9ViwAAgLa+lRkPaCAifSKF+W6aWmpl6R1yGEEEJI+5WeDtx/f0uPgrQnFDiRRvkS0MyZM8en12FZ1ut2hBBCCGmfPvkE4PNbehSkPaHAiTSoqqoKR48e9aoNj8fD9OnTERER4VW7iooKnDp1yqs2hBBCCGmf7r3XmYKckCuJAifSoF27dnndpmfPnlCpVBgyZIjXbWm5HiGEEEKaolIBb73V0qMg7VGLB06ffvopkpOTIZFIMHDgQOzfv7/R5y9evBhdunSBVCpFQkICnnrqKZhMpis02vbFl0DGFTAN9uEyEAVOhBBCCGnK668DUVEtPQrSHrVo4LR69WrMmTMHr7zyCjIyMpCWlobRo0ejrIGk/itXrsRzzz2HV155BSdPnsRXX32F1atX44UXXrjCI28ffAlkXAGTLzNO27dvp31OhBBCCGlQjx7AI4+09ChIe9WigdOiRYvwwAMPYNasWejevTuWLFkCmUyGZcuW1fv8PXv2YOjQobjzzjuRnJyMm266CdOnT29ylop4T6fTISMjw+t2roCpf//+EAgEXrUtLCxETk6O169JCCGEkPbh448BobClR0HaqxYLnCwWCw4dOoRRo0ZdGgyPh1GjRmHv3r31thkyZAgOHTrEBUoXLlzA+vXrMXbs2Csy5vZk7969sNvtXrWJiIhASkoKAEAqlaJPnz5evy4t1yOEEEJIfRITgWHDWnoUpD1rscCpoqICdrsdUZctUo2KikJJSUm9be688068/vrruPbaayEUCpGSkoLhw4c3ulTPbDZDq9W6HaRpvi7TYxiG+5gSRBBCCCEkUPLygG++aelRkPasxZNDeGPbtm1YsGABPvvsM2RkZOCXX37BunXr8H//938Ntlm4cCGCgoK4IyEh4QqOuO3yJzGECyWIIIQQQkggPfccoFa39ChIe9VigVN4eDj4fD5KS0vdHi8tLUV0dHS9bV566SXMmDED999/P3r16oVbbrkFCxYswMKFC+FwOOpt8/zzz0Oj0XBHfn5+wL+Wq43JZMK+ffu8bnd54OTLjNO5c+dQXFzsdTtCCCGEXP3Ky4FXX23pUZD2qsUCJ5FIhH79+mHLli3cYw6HA1u2bGlwpsJgMIDHcx8y/2LJ6IaysYnFYqhUKreDNO7AgQOwWCxetREIBOjfv7/bYwkJCYiNjfX69Xfu3Ol1G0IIIYS0D598Ahw/3tKjIO1Riy7VmzNnDr744gt8++23OHnyJP773/9Cr9dj1qxZAICZM2fi+eef554/YcIE/O9//8MPP/yA7OxsbNq0CS+99BImTJjABVDEf74sl+vbty+kUqnbYwzD0D4nQgghhASU3Q48/jhAFUzIleZdvugAmzp1KsrLy/Hyyy+jpKQEffr0wV9//cUljMjLy3ObYZo/fz4YhsH8+fNRWFiIiIgITJgwAW+++WZLfQlXJX/qN9X3+Jo1a5r99QkhhBDSfvzzD/Dzz8CUKS09EtKeMGw7qziq1WoRFBQEjUZDy/bqYbPZEBwcDL1e71W7H374AVOnTq3z+L///utTkojKykqEhoZ63Y4QQgghV9bmzcCNN175101MBE6eBGSyK//a5OrhTWzQprLqkeaXmZnpddAENJwIom/fvhCJRF73t2vXLq/bEEIIIaT9yMsD3n67ZV6bYZiAHqRtoMCJuPFlmVxcXFyDad7FYnGdpBHNNQ5CCCGEtC9vvw1kZ7f0KEh7QYETcROI+k2Xo3pOhBBCCGkOZjMwZ05Lj4K0FxQ4EY7D4fApFXhTgZMvmfUyMjKg0+m8bkcIIYSQ9uW334C//27pUZD2gAInwjl+/Diqq6u9btfUjJIvM052ux179+71uh0hhBBC2p/HHwe8LEFJiNcocCIcX5bHicVi9O3bt9HnxMTEIDk5+YqMhxBCCCFth0IRmH5OnwY+/jgwfRHSkBat40RaF18ClWuuucajrHmDBw9GTk5Os4+HEEIIIW3H0KHOmaKtW/3v67XXgDvvBGJi/O+LXMK8dpVn/TN5/lSacSIAAJZlA1r49nK+7HPat28fTCYvfpoJIYQQ0qYwjHOmiM/3vy+dDnjuOf/7IaQhFDgRAMC5c+dQUlLidTtPAyJf9jlZLBbs37/f63aEEEIIaTt69AAeeywwfX33HUBbpElzocCJAIBP2fQAzwOi3r17Q+ZDaW9fx0UIIYSQtuPVV4GIiMD0NXs2YLcHpi9CaqPAiQDwbT9Rx44dERUV5dFzhUIhrrnmGq9fg/Y5EUIIIVe/4GDgrbcC09ehQ8CyZYHpi5DaKHAiAJqn8K2/zweA3bt3w2azed2OEEIIIW3LvfcCAwYEpq8XXgB8qLBCSKMocCLIz89Hdna21+283bfkyz4nvV6PzMxMr9sRQgghpG3h8QKXUryiAnjllcD0RYgLBU7E531E3s4g+RI4AbRcjxBCCGkvBgwA7rsvMH199hlw9Ghg+iIEoMCJwLfARKFQoGfPnl61CQ8PR+fOnb1+LQqcCCGEkPZjwQJApfK/H7vdmSiCZf3vixCACuAS+BaYDBgwAAKB9z8+Q4YMwdmzZ71qs3PnTjgcDvB4FOcTQgghV7uoKGcx26ee8r+v7duBn34C7rjD/77aK/aVwEee/hbVDeSYtFotgt4K8ui5dCbazpWVleHkyZNet/Ml0QPg23K96upqHD9+3KfXI4QQQkjb8+ijQPfugelr7lxArw9MX6R9o8Cpndu1a5dP7XwNnHxtR8v1CCGEkPZDKAxcooiCAmDhwsD0Rdo3WqrXzvkakMybNw8vv/yy1+3sPlak27FjBx599FGf2hJCCCGk7bnhBmDKFGDNGv/7evddYNYsICXF/75I+0WBUzvna+B07NixAI+kcTt27ADLsmAY/9bEEkIIIaTteP99YN06wGj0rx+LBZgzB/j998CMi7RPtFSvHdNoNMjKymrpYXikpKQE586da+lhEEIIIeQKSkwEnn8+MH2tXQv89Vdg+iLtEwVO7diePXvAtqEcnb7WmyKEEEJI2/XMM0CHDoHp64knnLNPhPiCAqd2rK0lXGhr4yWEEEKI/yQSYNGiwPR15gyweHFg+iLtDwVO7VhbC0Q8HS/DMAE/CCGEENJyJk0CbropMH393/8BRUWB6Yu0LxQ4tVMGgwEHDhxo6WF4JTs7G/n5+S09DEIIIYRcYQwDfPghIAhAWrOaGuDZZ/3vh7Q/LZ5V79NPP8W7776LkpISpKWl4eOPP8aAAQMafL5arcaLL76IX375BVVVVUhKSsLixYsxduzYKzjqtm/fvn2wWq0tPQyv7dy5E3feeWdLD4OQq4bFbkGloRKVxkru1mA1wOawweawwe6wQ8ATQMQXQSwQQ8QXQcQXQSqQIlQainBZOMJkYZAIJC39pRBCrnJduwJPPgm8957/fS1fDjz8MDB0qP99kfajRQOn1atXY86cOViyZAkGDhyIxYsXY/To0Th9+jQiIyPrPN9iseDGG29EZGQk1qxZg7i4OOTm5iI4OPjKD76Na2vL9Fx27NhBgRMhXqoyVuFY2TEcLzvuvC0/jlxNLioNldBZdAF5DblQjjBZGOJV8egQ3AEdQzpyt13CuyBaER2Q1yGEtG8vveQMekpK/O9r9mzgwAGAz/e/L9I+tGjgtGjRIjzwwAOYNWsWAGDJkiVYt24dli1bhueee67O85ctW4aqqirs2bMHQqEQAJCcnHwlh3zVaMuBEyGkccW6Yqw/ux7rzq7DvwX/orimuNlfU2/VQ6/RI0+Thz35e+p8PloRjb7RfZEek46+0X0xtvNYSIXSZh8XIeTqolIB77wDzJzpf1+ZmcCXXwIPPeR/X6R9YNgWykdtsVggk8mwZs0aTJ48mXv8nnvugVqtxu/1VCgbO3YsQkNDIZPJ8PvvvyMiIgJ33nknnn32WfA9vFyg1WoRFBQEjUYDlUoVqC+nTbFYLAgODobR32pyLaS0tLTeGUmX5kjm0JbStpP26WjpUfxy8hf8efZPHCw62NLDadKx/x5Dj8geLT0MQkgAbN4M3Hijb23HjAE2bPCuDcsC114L7Kl7jcZrYWHOTHuhod61C/S5Rns7z2Be8+/7x74SuO+XN7FBi804VVRUwG63Iyoqyu3xqKgonDp1qt42Fy5cwD///IO77roL69evx7lz5/DII4/AarXilVdeqbeN2WyG2WzmPtZqtYH7ItqoQ4cOtdmgCQB27dqFW2+9taWHQUiLszvsWHNiDT7e/zF25+9u6eEQQsgVwTDAxx8D/fs7gyh/VFY6l/99+mlgxkaubm0qq57D4UBkZCSWLl2Kfv36YerUqXjxxRexZMmSBtssXLgQQUFB3JGQkHAFR9w6tfXlbm19/IQEwu+nfkfvJb0x7edpFDQRQtqd9HTgwQcD09eSJcDhw4Hpi1zdWmzGKTw8HHw+H6WlpW6Pl5aWIjq6/k3EMTExEAqFbsvyunXrhpKSElgsFohEojptnn/+ecyZM4f7WKvVtvvgqa0HHm19/IT4o8ZSg0fXP4rvDn8X0H7FfDF6RvZE76jeSItKQ1JwEuRCOaRCKWRCGYQ8Icx2M4xWI4w2I4xWI3QWHYp0RSjQFqBQV4hCbSGy1dko05cFdGyEEFKfN94AfvwRqK72rx+Hw5koYvt252wWIQ3xKXAyGo1gWRYymQwAkJubi19//RXdu3fHTR5WJxOJROjXrx+2bNnC7XFyOBzYsmULHnvssXrbDB06FCtXroTD4QCP55wsO3PmDGJiYuoNmgBALBZDLBZ7+RVevex2O3bt2tXSw/BLVlYWNBoNgoKCWnoohFxRh0sOY+qaqThdedrvvrqFd8OkLpOQFp2G3lG9kRqWCgEvMNfSyvRlOFp6FEfLjuJI6REcKj6EI6VHAtI3IYS4hIc7i9k2cNrolZ07gR9+AKZP978vcvXy6a/kpEmTcOutt+Lhhx+GWq3GwIEDIRQKUVFRgUWLFuG///2vR/3MmTMH99xzD/r3748BAwZg8eLF0Ov1XJa9mTNnIi4uDgsXLgQA/Pe//8Unn3yCJ554ArNnz8bZs2exYMECPP744758Ge3SkSNHfNrnlZqaiqHNUOzg6NGjOHjQu43sLMti9+7dVLuLtCtbs7fi5hU3w2w3N/3kRkzpPgWPXfMYrk+6vlkSqQBApDwSIzuOxMiOI7nHKg2V2Jm3E9tztmNb7rZme21CSPvy0EPA0qXAkQBcm3n6aWDCBECh8L8vcnXyKXDKyMjABx98AABYs2YNoqKikJmZiZ9//hkvv/yyx4HT1KlTUV5ejpdffhklJSXo06cP/vrrLy5hRF5eHjezBAAJCQnYuHEjnnrqKfTu3RtxcXF44okn8CyVf/bYzp07fWr33//+F08++WRgBwPgjz/+wMSJE71ut3PnTgqcSLtRoC3A1DVT/QqakoOTseq2VRgUPyiAI/NcmCwMk7tOxuSuk1vk9QkhVyeBwJkoYtgw//sqKgIWLHAehNTHp8DJYDBAqVQCAP7++2/ceuut4PF4GDRoEHJzc73q67HHHmtwad62bdvqPDZ48GD8+++/Xo+ZOPm6P2jIkCEBHonT4MGDfWpH+5xIe2GxW3D7T7ej3FDucx9DE4bil6m/IFLecBp/Qghpq66/3rnEbtUq//t6/33gvvuATp3874tcfXzKqtepUyf89ttvyM/Px8aNG7l9TWVlZe22NlJbwLKsTwGHVCpF3759m2FEziQhqampXrc7cOAADAZDM4yIkNbl26xv8W+B7xeLEoMSsf6u9RQ0EUKuau++C8jl/vdjsQDNsMCGXCV8CpxefvllPP3000hOTsbAgQO5WYO///672U6wif9Onz6N8nLvr1pfc801EAqFzTAiJ19ms6xWK/bt29cMoyGkdfnh+A9+tf9q4ldQiemCFiHk6hYXB8yfH5i+1q1zHoRczqfAacqUKcjLy8PBgwfx119/cY+PHDkSixcvDtTYSID5urytOZJC1ObrMkBarkeudiU1JdiWs83n9qlhqRjVcVTgBkQIIa3YU08Fbondk08CZv9y8ZCrkE97nO677z58+OGHdWaXevTogdmzZ2PZsmUBGRwJrNa2v8nf/ilwIle7zRc2w8E6fG4/rvM4v8ew5sQabDi7we9+GnJ/+v0YnODbXkdCCKlNLAYWLwbGj/e/r3PngA8+AJ57zv++yNXDp8Dp22+/xVtvvcUliHAxGo347rvvKHBqhViWxfbt231q62sCB09169YNQUFB0Gg0XrXbu3dvg4WPCbkalNSU+NW+W3g3v8dwsOgglmU133v6iA4jKHAihATMuHHOIxBL7d54A5gxw7kMkBDAy6V6Wq0WGo0GLMtCp9NBq9VyR3V1NdavX4/ISNqA3Brl5uaioKDA63Zdu3ZFWFhYM4zoEldGRm8ZjUYcOnSoGUZESOtgd9j9as9jfFqNTQghbdrixUAgrqnq9cAzz/jfD7l6ePVXNTg4GKGhoWAYBqmpqQgJCeGO8PBw3HfffXj00Ueba6zED611mZ6/r0PL9cjVLEIe4Vf7bHV2gEZCCCFtR6dOwNy5gelr1SrAxxKY5Crk1VK9rVu3gmVZ3HDDDfj5558RGhrKfU4kEiEpKQmxsbEBHyTxX2tNDOHiT+BEBZDJ1WpE8gi/2v917i+8ccMbARoNIYS0HS+8AHz3HVBY6H9fs2cDhw4BfL7/fZG2zavAadjFsszZ2dlITEwEwzDNMigSeK19xmnAgAHg8XhwOLzbCL9r1y7Y7Xbw6d2MXIU6hHTAgLgB2F+436f2h4oP4WjpUfSK6uXzGK5Pur7JJYMVxgp8k/WNz69BCGnbFEoHevWxwMZ6v7xYFVODI6WlSA1LhUQgCdyYFMBHHwELFwIAC5PNDLsP4wMAGxis+0uAieNoT3V753HgdOTIEfTs2RM8Hg8ajQZHjx5t8Lm9e/cOyOBIYJSUlODs2bNetwsNDUWXLl2aYUR1qVQq9OrVC4cPH/aqnVarxZEjR6h+GLlqTe0x1efACQDuW3sf9v5nLwQ8n3IBYWznsRjbeWyjzzledpwCJ0LasUEDeTicIUahrhCHSw7jSOkRHCk7gsMlh3G68nSj2UFPAvhxCcBn+Oga3hV9ovsgLSrNeRud5nXxbr1Fj2Nlx5BVkoUsURYED2fhaOlR6K16j9rHKePQO6o3ekf1RlpUGnpH9UZqWCqE/OarZ0naDo//kvbp0wclJSWIjIxEnz59wDAMWJat8zyGYWC3+7ehmQTWTh8X5w4ZMuSKzioOGTLE68AJcH59FDiRq9UD6Q/gi4wvcKrilE/tDxYdxP1r78cXE76gP/yEkGbDMAziVfGIV8VjXOqlUggmmwknyk/gSKkzkHIFVJXGSrf2dtaO4+XHcbz8OFYcXcE9HqOIQZ/oPm4BVafQTuAxPJTUlDgDpJIsHC49jKySLJypPAMWdc9PLycRSNAjogcXHPWO6o1eUb0QLgsP3DfFC61tFVd95/jEi8ApOzsbERER3H3SdrT2ZXougwcPxv/+9z+v2+3YsQOPP/54M4yIkJanFCux5vY1GPDlABisBp/6+PbwtyjUFWLlrSv9TjhBCCHekAgkSI9JR3pMOvcYy7IoqSnB4dKLs1MXj5MVJ2Fz2NzaF9cUo/hcMTacu1RPTiaUQS6Uo9xQ7tEYEoMSncFR5MWZpOg0dArt5PNMPGm/PP6JSUpK4u4rFAouRXV+fj6++OILGI1GTJw4Edddd13gR0n8YrfbMXz4cK/b3XjjjU337bBDY9ZAbVLDaDXCztphc9hgd1y8Ze2wO+xwsA7wGB74PL7zlnHeCvlCiPliSAQSpPZNxbXXXwsew/MqjTLtbyJXux6RPfDFhC9w1y93+dzH5gub0eWTLpg3dB7uT7+/xa6qEkIIwzCIUcYgRhmDMZ3GcI+bbWacqjiFI6VHkFmSiQ/+/aDe9garodELSTel3IQJqROcs0iRvRAiDQn410DaJ4b1Yi7u6NGjmDBhAvLz89G5c2f88MMPGDNmDPR6PXg8HvR6PdasWYPJkyc345D9o9VquWKrKpWqpYfT6ugtepyrOodzVedQqi9FtbEaapMa1aZq52F03qpNalQbq6E1az2aEvcWAwYKkQJKsRJKkRJKsRIhkhCEycIQJg1DuCwc3cK7YWrPqXXbNsN0N01Zk9Zgw9kNmPHrjDpLXLwlEUgwrec0jOwwEn2i+6BreFe/rrweLzuOnv/r6VPb72/5Hnf3vtvn1yaEXJ2sditEb/iWjGHFrStwZ687Azwid61taV2gNfd5D/Oaf98/9pXAjc+b2MCrv5Tz5s1Dr169sGLFCnz//fcYP348xo0bhy+++AIAMHv2bLz11lutOnAiTizLIk+Th70Fe7Enfw+OlB7B2aqzKNIVBew1JAIJJAIJBDwBBDwB+IxzZsg1C2Vz2GBz2GCxW2C2m93HBxY6iw46i67B/gfEDag3cCLkanVz55uR9XAWpq2Zht35u33ux2Qz4Zusb7iEDhKBBL0ie6FPdB/0je6LXlG9ECwJhkwog0wog1QgBQsWNocNJpsJWrMWVcYqFOuKkaPOwb7CfQH6CgkhhJDWy6vA6cCBA/jnn3/Qu3dvpKWlYenSpXjkkUfA4zmXVc2ePRuDBg1qloGSwDhXdQ6fHfgMq4+v9jlIkgll6B3VG13Du6JLWBdEyaMQKg11O0KkIV6lFbU5bDBajdBb9dBb9NyJWbWpGlXGKlQZq1CuL0dxTTFKakpQUlOCIHGQT+MnpC2LV8Vj6z1bsfjfxVi4ayGqTdV+92mymXCg6AAOFB0IwAgJIe2N3W7Hjh07sGHDBphMJo/bMQyDa6+9FuPGjYNMJnP7HI/h4cMxH/o0nn4x/eo8xrIs/v33X/zxxx+oqanxqr8BAwZgwoQJCApqn+cdOTk5PuU3iIuLQ2pqajOMqGF79+716mcQAPR6zzIuAl4u1ePxeFxmPQBQKpU4fPgwOnbsCAAoLS1FbGxsq86q116X6m3N3op397zrtrnSG3KhHA/3fxi3drsV/WP7Q8RvvbUMrvbpc4CWDhKnamM1Ptr3Ef538H8o1Ze29HB8Qkv1CLl66HQ6rFu3Dj/99BPWr1/v8QmsXC7HhAkTMHXqVIwZMwYSSWDqObEsi4yMDKxevRqrV69GXl6ex20HDRqEKVOmYMqUKW77/F2u9nON2ucZRUVFSEtLQ0VFhVd9hIaG4siRI4iLiwv08Or1888/Y8qUKV63GzVqFDZv3uxRbOB14FRaWspl11MqlThy5Ag6dOgAgAKn1mrt6bW4ZfUtjdZRaMzt3W/HZ+M+azObya/2NzOAAifizmK34NeTv+LXU79iw7kN0Jq1LT0kj0TJo/Dt5G8xutPolh4KISTAampqsH79eqxZswbr1q2DweBZVlCVSoXJkydj6tSpGDVqFEQi7y7UsiyLY8eOccHSuXPnPG47ZMgQ3H777bj11luRmJjY6HOv9nONy88zNmzYgLFjG6/pV58RI0Zg06ZNzZ7Iq6CgAL1790Z1tXerMGJiYrBr1y6kpKQ0T+B08803QywWAwD++OMP3HDDDZDL5QAAs9mMv/76iwKnVqb3/3rjaFnDBYubUvN8DeQiuV9jSFqchHK9Z2lDvSXkC6F5TsN9fLW/mQEUOJGGWewWbM/ZjrWn12Ld2XXIVreO8hFKkRL9YvthQOwADIhzHvGq+Hbx+0pIe6fX6/HXX3/hp59+wp9//unx0qiQkBDceuutmDZtGoYPHw6BoOEdJqdPn+aCpRMnTnjUP8MwGDp0KBcsxcfHe9TO1fZqVt95xrx58/Duu+963ddbb72FZ599NhDDqpfdbseoUaOwbds2r9rxeDxs2bIF6enpHscGXgVOs2bN8uh5X3/9taddXnHtMXB6YsMT+Gj/Rz63Xz1lNe7ocYdfY4h8N9LjegveEvKEsLxk4T6+2t/MAAqciOeqjdU4WnYUR0uPOm/LjuJE+QmoTeqAvg6P4SFCFoEoRRQ6hXZC59DOziPMeRutiG4Xv5ve2PPeHmgL/J8dlEfJMXD2QIgUgV9CfWHLBZz544zP7Ue9NQoCifNk198sWm1BIDN9Xa2MRiMXRHmz3ygiIgJTpkzB1KlTce2114LP5yM7O5sLlrKysjzqh2EYXHfddVywFBsb69PXcbW/n9V3nmG1WnHddddh3z7vEgIJBALs3bsX/fv3D9Tw3Lz11lt4/vnnvW73yiuv4NVXX/UqNvAqcLoaNEfgtGPHDq/XfV5u1KhRzRbI2Rw2PLruUXyd9TWsDqvX7RkwmN5rOuZfNx/dIrr5PIamPPP3M1i8b7HXfVPg1L7QyZf3tGYtCrWFKNQVolxfDovdAoPVwJUa0Jg00Fq0MFqNsNidv0ssy4IFCyFPCKlQyhWclIvkkAvlCJYEIyEoAR2DOyJeFY9QWahX9dcI8Hn65yjJLAlIX6oEFcZ8OAZdJ3cN6Hvgrrd3YctzW3xu/5z2OYiVzlUq9LtLLmcymbBx40b89NNPWLt2LXS6hjPp1hYTE4PY2FgcOnTIo+fzeDwMGzYMU6ZMwa233oro6Gh/hg2WZbnEaFcrh8NR73tJTk4O+vTpA41GU0+rhnXq1AmZmZlQKBSBGiIAZ+K6IUOGwGZr+jyztuHDh2Pz5s3g8/nNl46c1LVlyxbceOONfp/ITps2DStXrmyWk34BT4DPJ3yO10a8hs8Pfo4lh5agpMbzP9YsWKw8uhIrj65EalgqRnYYib7RfdE9ojtSw1IRKg0Fn9f42lVPasTQSRchvinQFuBg0UHka/JRqHMGSEW6Ii5YqrF4l0HKWyK+CMGSYARLgrl6a5HySETKIhEhj3Del0ciNSwVHUM6NutY2ittvhY/3vojOo/rjJs/vhkhHajgJ2n9JBIJJk2ahEmTJsFsNuPvv//GmjVr8Pvvvzd6Yl5cXIzi4uJG++bxeBgxYgSmTJmCW265BVFRUQEbt0ajwfTp07Fq1Sqv2slkMnz88ceYNWvWFbnI+9133+GRRx7xKmscAEydOhVqtRohIXXfR5KTk7Fs2TLcdtttXvV57tw5PP7441i2bJlX7RpTU1ODO++80+ugKTw8HCtWrPBp3xXNOPmhtLQUaWlpKC0NTDarpUuX4oEHHghIX42x2C3Ynbcbu/Odx978vdCYvbtycLlgSTDCpGEIk4UhVBqKMGkYlCIlhHwh+AzfWceJx4eDdcDBOmBz2GC1W2GymaC3OtOPHyk9gkJdodevTTNO7QtdtQYqDBVYe3ottuVsw868nchR51yZgflpVp9ZWDYpcH8027pAzjjVJpAIcN386zDk6SEQiP27PkozTt5pzzNOAf3/tQOwNPmsxvEBBHj16uX/vytWrMAjjzwCrda7JbfTpk3DkiVLmi29uU6nwyOPPILly5d71U6pVOLTTz/F3Xff3eS51KOPPorPPvvM67GtXr0ad9zh3/YPl/vuu8+n7UHr16/HzTffzH1MS/UaEajAyW63Y8yYMdi8eXPAxiaRSLBv3z707t07YH16wsE6UKgtxJnKM9xxrvocKgwVqDZWc/WUPFlu19yEPCEi5BEIl4UjQhaBCHkEouRRWDxmsVf92Bw2nCw/iWx1NkprSlFSU4JSfSlXI8p1P9BX6iUCCVRiFVRiFYLEQZfuS4IQKglFmCwM4bJwLggNk4ahZ2TPJmf02pP2fPJ1uOQw3tz5Jn45+QvsbOtNwtMQCpzcNVfg5BLWJQxjPx2LjiN9n+ULZODUHPx5P2jPQU5b4O97/ZX6/83JycHdd9+N3bu9K0reoUMH/PDDDxgwYEBAx3Po0CFMmzbNq2yCgDOj4PLly7lM2U0xmUwYNGgQDh8+7NXrBAUF4fDhw/WmePfGjz/+iKlTp3rd7plnnsE777zj9hgt1bsC3nrrrYAGTYDzh3Dq1Kk4cOBAQNeAqk1qnCw/ibNVZ7n9Cw0R8oXoEdkDPSJ7cI/FKePQPaI7QiQhUJvVbsFUlbEK1cZqaM1a2Bw22Bw22Fm789bhvHWwDvAYHvg8vvOW4YPP44MBA6vDCo1JA4PVAAFfABFPBCFfCBFfBKlAColQ4rwVOG9FfBF3FUTAEyAlJMWjfVc1lhpsubAF23O340DRAWQUZ8Bg9Sw1aiCZbCaYbCaU6cs8blP2dBki5BHNOKq2JdB/DNvCH+cKQwUe+OMB/Hbqt2Z/LXL1qDxdie9HfY+e03vipvdvgjJG2dJDIgHAsiw0Zg2KdEUo1hXDYDXAYrfA6rA6b+1W7mMA3KqP2odUKIVCpIBCpIBcKIdCpIBKrPJo6T1xl5ycjG3btuGtt97Cq6++6nFm6ezsbAwdOhQLFizA3Llz/d4zxbIsPvzwQ8ybNw9Wq+f72fl8Pl555RU8//zzjWYtvJxEIsGPP/6I9PR0r5YCajQazJgxA1u3bvU5RXlubi4efPBBr9sNHDgQb775pk+v6dIqAqdPP/0U7777LkpKSpCWloaPP/7Yowj8hx9+wPTp0zFp0iT89ttvzT/Qi3bu3ImXX365Wfo+deoUHnvsMXzzzTcB6zNYEozBCYPRP7Y/zlefx8nykzhZcRInyk/gZMVJnKo45VEQoRAp0D2iO3pE9OBub0q5CQmqhEandFmWRZGuCMfLj+N42XGcKD+B4+XOW0+WCIr5YnQJ74Ju4d3QPaI7uoV3Q7eIbugc2hliQeNXMrNKsvDxvo+x8thKmGzeVZImpDU4U3kGY1eMxfnq8wHpTyFSIDk4GcnByUhQJUAhUkDMF0MikEAscN4KeALu5Mt1mGwmaMwaVJuq3S6elOnL2kzdqPbq2KpjOLvuLEa8MQLXPHINeHzaT9pamWwmFGqdexSLdEXcfsXL7zfXhT8GDEKkIQiXhXMrO+JV8UgMSuSO1LDUNlPX8UoRCASYP38+brzxRtx11104f96z92ubzYZ58+Zhy5Yt+Pbbb33eh1VeXo5Zs2Zh3bp1XrVLSUnB8uXLMWjQIJ9eNzU1FUuWLMGMGTO8ardz504sXLgQ8+fP9/o17XY7ZsyY4XVyiqCgIPzwww8QCoVev2ZtLR44rV69GnPmzMGSJUswcOBALF68GKNHj8bp06cRGRnZYLucnBw8/fTTuO66667gaIGKigpMnz4dDodvxWQ98e2332LEiBG45557AtqvkC9E1/Cu6BreFbfgFu5xB+tAniYPJ8svBVOuwKp2yuIaSw32F+7H/sL9bv26AipXMNUxpCNy1bleB0gKkcItOOoe0R3dIrqhQ3AHr6+AVRmrcP/a+/HrqV+9akdIa8KyLO78+U6/g6buEd0x/7r5GNFhBKLkUQHfB1hjqeESURRqC1GgLUC2Ohtnq87ibOVZn/YuksZ1HtsZXSZ3weZnN8NU3fRFIbPWjL8e/wuHvzmMcf8bh7gBcVdglKQxLMsiR52DvQV7sSd/D/bk78GR0iMtugyXBYsqYxWqjFU4U1l/Gvo5g+bg/dHvX+GRtQ0DBw5EVlYWnnzySXz11Vcet9u4cSPS0tLw3Xff4aabbvLqNbdt24a77roLRUVFXrWbNWsWPvzwQyiV/s1E33333diyZYvXF/xfffVVjBw5EoMHD/aq3cKFC7Fz506v2gDAsmXLkJyc7HW7y7V44LRo0SI88MADXI2oJUuWYN26dVi2bBmee+65etvY7XbcddddeO2117Bz506o1eorMlaHw4GZM2eisNC7k4D3338fixcvRn5+vsdtHnnkEQwYMADduvmW/tsbPIbHXYG+ufOlzXIsy6JUX+oWULlua2flayigakiYNKxOcNQ9ojvilHEBOaEr0Bbg2mXXIleT61c/KrEK1yddj54RPRGnikO8Kh5xyjiESkMhFogh4osg5jtvRXznDtTLl0sYrAZozBpoTBqoTWpozM7bMn1Z3X1VNaUt+gfTZDOhwlCBSkMlzHYzrHYrt/zSdQCos+SSx/Ag5ou52QqJQMLNYMiEMrfllcQ7G89vxKFiz9LtNmRaz2n4ZtI3Tc7O+kMhUqBLeBd0Ce9S7+f1Fj3OV59v10lNAo3hMej3QD90ndwVm5/bjKxlWR61K84oxpeDvkS/h/ph5IKRkIZIm3egxA3LsthbsBc/HPsBv5/+HXmavGZ5HQYM97dJyBfCwTrqLOEjzUOhUODLL7/EzTffjAceeADV1dUetSstLcXo0aMxb948vPHGG03OjNhsNrz++ut44403vHpvDQkJwdKlSzFlyhSP2zTlk08+wb///otTp0553MZ1Lp+VleVxzoF///0Xr776qtfje+SRR3Drrbd63a4+LRo4WSwWHDp0yK1oFY/Hw6hRo7B3794G273++uuIjIzEf/7zH5+iTl8tWrQIGzZs8KrNxIkT8dRTTyEtLQ2jRo3yuJ3BYMAdd9yBffv2QSaTeTvUgGAYBtGKaEQrojGiwwi3z834dQaWH/EuWwsADEsahm33bgvQCOv37OZn/Q6anhnyDF687kUESbzLeCPlSSGFbyciNocNhdpC5KhzkKPOQbY6GznqHC4o85XBasDxsuM4VnYMxTXFKNeXo8JYgQqD8yjXl6PCUAG91bt0pZ4S8ARQiBRQipTcmnqlWMmlrg6RhDjvS0MQKY/ElO6BezNv67JKsvzuIykoqVmDJk/IRXL0jrqySW/aC3mEHJO+moS+s/pi3X/XoeyYB/snWeDQkkM4+fNJ3PTeTeg9ozdd3GhmNocNa06swaK9i3Cg6IBffQl4AqRFpSE5OBnxqngkqBIQr4rnjmhFdKMXrFiWhc1hg86iQ7WxmqvnVm2sRnFNsXPWWFfAzR7nqHMCflHPwTqgt+iht+pRY6mB0WqEnbXD7rDDztrhYP1f1bMzdyd4DA88hldnj1ftw7WvWsgTcvcDUR7ltttuw6BBg3DPPfdgyxbPE6y888472LZtG1atWoWOHetP7JKXl4e77roLu3bt8mpMN9xwA7799lvEx8d71a4pcrkcq1evxsCBA2Eyeb4tIjs7G48++ii+//77Jp+r1Wpx5513eryHzCUtLQ3vvx+4GdIWDZwqKipgt9vrrOmMiopqMGrdtWsXvvrqK48rRJvNZpjNZu5jb1NGuvz7779eVyWOiIjAF198AYZhMHLkSDzxxBP48MMPPW5/7NgxPPnkk1i6dKm3w212vr6pNHetJgfrwI/Hf/Srjyh5FN684U0I+f6tg/WWgCdAUnASkoKTMAzDfO6nwlCBjec24q/zf2F/4X6crTwLFi13pd/msEFtUrst+2xIqDSUAqdaOgR7lt2oMW/vfht5mjz8p+9/0C+2H4Ilwf4PrI0oKytDTY1/mTHj4uIgFrds4OmJxGsT8WDGg9j30T5se2UbrPqmZxUM5Qb8ds9vyPwqE2M/G4vIHg0vjye+O1B4ANN+noYL1Rd87iNCFoEZvWfg5s43Y3D8YMhFcp/7YhgGQr4QodJQhEpDm3y+1W7FheoLXNbdlNCUBp+rNWtxsOggDhYdRJ4mj1tRoTVrUWOpQY2lBnqr3qs9WgKeAGK+GEK+EAwYLhhiGAYMnMEhCxYO1gGWdd7aWTvGrBjDrZbwNhDrGt4VJx896VWb+sTFxeHvv//GBx98gBdeeAEWi2c51vfv34++ffti6dKldTLH/fbbb7jvvvs8nskCAKFQiAULFmDOnDnNVri3d+/eWLx4MR5++GGv2i1fvhyjR4/G3Xff3ejzHnvsMWRnZ3vVt1wux48//giJROJVu8a0+FI9b+h0OsyYMQNffPEFwsM925i4cOFCvPbaa369bnV1NaZOnep1ga0vvvjCbZ/WwoULsXHjRq+mMr/44guMGDEC06dP9+q1a8vPz8fGjRu9+iUDnJW5b775ZoSFhdX53M2dbkakzPs/sg294Wq1WmzcuBE5OTle9adQKHDjjTeiU6dOAJzLEyJkESiuabwwXmNK9aUY9NUgvHjdixgcPxjRiug2cTX2WNkxPLv5WWw4u6FFAyUSOLd0uwVJQUl+z6CuOrYKq445CzUmqBLQI7IH4pRxiFHEIEYZw80sh0mdddhCpCEeFa1uzX766SfMmDHD7cKZLwYPHozff/8dERGtP7MlX8jHkLlD0OOOHtj41Eac/NmzE7/cHbn4vM/nGDx3MK5/6XqI5AEuftOOLT20FLM3zG4yo21DFCIFPhzzIe7ufbffqw98JeQLG12KCwDl+nLc8N0NOF523Oe/PyGSEMy/fj4Gxg1Ep9BOUIqVEPPFAcnyV3upotludt7azDDbzTDZTDBajTDajNxtIL/XPB4Pc+fOxciRI3HnnXfi5EnPfi+1Wi2mTZuGTZs24cMPPwSfz8fTTz+NTz/91KvX79atG1asWIG+ffv6MnyvPPjgg/jnn3/w44/eXcB+5JFHMGTIkAZn2FauXOnRrNTllixZgtTUVK/bNaZF6zhZLBbIZDKsWbMGkydP5h6/5557oFar8fvvv7s9PysrC3379nVLX+hK0sDj8XD69GmkpLifmNc345SQkOBxHSeWZXHrrbd6nbXvvvvuq3dj4MGDBzF48GCvgjCFQoGMjAx07tzZqzHUZrPZsGfPHvz5559Yt24dTpw44VE7Ho+Ha6+9FhMnTsTEiRP9GsPl8vLy8Mcff2Dt2rXYunWrx+kzO3bsiPHjx2PcuHEYNmxYnavBSw8txUN/PhSwcarEKnQN74rEoEREyiIRKY9EhDwCEbII7iQzWBKMYEkwgsRBVzyVa5WxCs9uehbLspb5vbxBIVKgQ3AHRCuiEaWIQpQ8CiqxCkKekFsrL+KLIOAJ3AoZ2xw2WB3OPV06sw46y8XDrIPGrEGloRLlhnJUGasaff1QaSgq51X69TV4q7WnI8/T5GH8yvE4Wna0WV/ncq6i1qHSS/XFouRRiJRHcrfRimh0DOno9ZLW5sSyLN55550G98j6IiUlBevWrUOXLg2fOPrCnzpOqeNTMf2Pxi+ond1wFhse24DqC55fNAtKDMKYD8egy6QuYBiG6jj5YU/+HgxdNtTn9j0ieuDnO35uNGBpTU6Wn8SO3B3Ynb8bF6ovoEBbgEpjpc/1EGVCGeRCOSQCCbdfq/a+LQFPACFPyC23c33s+jsl5ou5/beu/ciu+65bpVjJ1VOsXV9RLpI3ywoZo9GIefPm4ZNPPvGqXdeuXSESiXDkyBGv2j3yyCN49913r+iWD41Gg/T0dFy44N0M66BBg7Bjx446e7uys7PRp08fr1eM3XvvvR4Xx21TBXAHDhyIAQMG4OOPPwbgDIQSExPx2GOP1fnDZzKZ6hT0mj9/PnQ6HT788EOkpqZCJGr8KoG3BXA/+ugjPPHEE159TcnJyTh8+HCD/b/++ut45ZVXvOqzT58+2Lt3b8CmGy9cuIB169Zh3bp12Lp1q8fTx126dOGCqMGDB3uVg59lWWRmZuL333/H2rVrPV5uyefzce2112L8+PEYP348unTp0uQM0C8nf8F9v9/nUTa/QFOJVdz+HdcJZ7g0nEvv6jrZTAlN8XvZFMuyuPXHW/2q78NjeLir112YM3gOekf1btbllDaHDVXGKlQYKlBSU8KtoS/QFqBAV+CstzXT95M0X7T2wAlwLn+ZvWE2VhxZ0SoL38YoYtAlvAu6hnXlMnd2De+KhKCEZl+eW5vVasWjjz6KL774IuB9h4SE4LfffsP1118fsD6bO3ACAKvRil1v7cLut3bDbvH8Zyd1fCrGfDQGx388ToGTjwZ+OdDjpEmXY8DgxKMn0DW8q8+vb7FbUKAt8Ll9UyQCCWKVsU0+z+6wQ2vWcgmSNCYNtGYtzHaz26zP5fdNNhOsDiusdqvztvb9y8oluGaRjFYjt2+qxlLj88VEPsNHjDIGCaoEXBN7DYYlD8ONHW+EUhyYWmjr16/HrFmzUFbmeU1Hb0RERGDZsmUYP358s/TflAMHDmDo0KFe1ZMCgJdeegmvv/4697HNZsOwYcOwZ88er/rp2rUrDh48CLncsyWtbSpwWr16Ne655x58/vnnGDBgABYvXowff/wRp06dQlRUFGbOnIm4uDgsXLiw3vb33nsv1Gq1xzNC3nxzDh48iCFDhnj1H88wDLZv395omnSr1YqhQ4fiwAHvNog++uijXl+l8ERNTQ22bNnCzUYVF3u2zC08PBzjxo3DxIkTcdNNN9VbtNdsNmPr1q1Yu3Yt1q5d63FGwrCwMIwdOxbjxo3D6NGjERwc7M2XBADIVefig38/wHeHv0O1ybtlildKqDQUKSEpSAlNQUpICjqGdESn0E5Ij0mHQtR0EeQL1ReQ8lHD6809MSh+EHbft/uKnuC2Jm0hcHLJUefg0/2f4tdTvwasrlNzkgqk6B3VG6NTRmNMpzEYEDeg2WZktVotbr/9dvz999/N0j8AiEQiLFu2DHfddVdA+rsSgZNL5ZlKrH90PS5s9vwqsEAqQET3CBQf8n3pc3sNnNQmNULeDvG5/TWx12D/A74FXS5nKs+gyyfNN1s1InkE/rnnH+7jX0/+ijOVZyAXySEXyiEXyblZI5lQxmVdlQql3H2JQAIhTxjQ5fAO1gGj1YjimmJkFmfizZ1v4nDpYb/6jFPG4bNxn2Fil4kBGqVzD+Z9993nde2lpowdOxbLli3zuSZUoHzwwQeYM2eOV214PB62bt3KXaB69dVXvd5uI5FIsG/fPvTu7XlCojYVOAHONIauArh9+vTBRx99hIEDBwIAhg8fjuTk5AbzwzdX4OTrVOO8efPw9ttvN/m806dPo0+fPl5lHwGANWvW4LbbbvOqjTccDgeysrK4IGr/fs/euEUiEUaOHIkJEyZg2LBhOHjwINauXYuNGzd6vDm7d+/e3BK8gQMH+lxR+nJGqxHbcrZhS/YW/JP9D46VHWv16VgFPAH6x/bH8KThmN5reoMZydQmNRI/SITOovPr9QbGDcTMtJnoFdkLKaEpiFHEtIl9XYHQlgIn7jVZFqcrT+Pv83/jaOlRHCs/huNlx/3+OWhu8ap4zB4wGw+kP4AQqe8nlZfLz8/HuHHjcPSo58sZVSoVfv/9d6xevRpLlizx6vX+7//+Dy+++KLfvyNXMnACnD83x388jo1PbURNsX9JMzzVXgMng9UA+QLfEzh0De+KE4+c8Otn7EoHTk9seAKrjq1yzhhdnAHyFJ/hQ8gXckvtXBnvXIkgeAyPSwzBMAzsDmfmPddhZ+3cXiWz3bt9jTKhDAqRAnKhHAqRAlGKKEQrohGriEW/2H4YHD8YCUEJXvXpKZZlsWTJEsyZM8fr88HLSSQSvPfee3jkkUdaxd9vlmUxceJE/Pnnn161S0hIwOHDh3HixAlcf/31XtdNXbJkCR56yLvtGm0ucLqSPPnmsCyLadOmeb25rXfv3ti/f7/HGZg+/vhjPP744169RlBQEDIzM9Ghg//ZtjxRWlqKDRs24M8//8Tff/8NnS5wJ2YSiQSjRo3CuHHjMHbsWCQmJgas78bYHDbkqnO5DEFnKs/gTJXztrlqavirf2x/LB69GEMT666XX31sNe7/436f15HXRyqQIkoR5dzfcnGfS6g0lFv/rRKrECQJclsbrhKruNTiV3qflz/aYuBUH5ZlUaAtwPFyZ+r54+XHcbriNEpqSlBcUwyTzb8/yoEUrYjG2mlrcU3cNX73lZGRgfHjx3s8Uw44l7H89ddfSE9PB8uymD9/PhYsWODV69577734/PPPm1we3pgrHTi5mLVmbH15K/Z/vB+so3l/fttr4AQA09ZMw+rjq31uv3nGZozsONLn9mcrz6Ln/3o2+TxfE1dcHjhdzsE63JIwWGwW6Gv00Kv1qNHUoEZTA4PWAL1WD1ONCSaDCTa7jTvsdjtsdhscDgcc9ovHxft2hx08lgcejwcBXwAejwc+nw8BTwA+j++8zxe43QrFQqhUKoQEhSA4OBihoaEIDguGLEQGSZAEPEHLrLoIdJDTmk7rKysr0adPHxQUeLdkdNKkScjKykJurneJke644w788MMPXn9PKXBqhCffnM8//9zrdIoikQgHDhzwamrQ4XBg9OjR2Lx5s1evdc0112DXrl0e/8H298SQYwOQB8C7+r/1iwLQAUCAMn4H6g+g0WpEqb4UZfoylOvLnbeGclQaKlFlrEK1qZqrql5lrEKlsdKrtKr+4DN8vHnDm3hm6DN1ltXlafLw+IbHsfb02laRUc8VRIVIQxAlj0JiUKLbkRSUhDhVXItliartagmcGsOyLLRmLZcauMJQgXJD+aVaXhfvl+nLUKwrRpm+rNl/jqQCKVbdtgqTuk7yuY8///wT06ZNg17veQ2yxMREbNq0qU6mpffeew/PPPOMV69/ww034Oeff/ZpKTHQcoGTS0lWCdb9dx0K/m2+fTDtOXDKVeei26fdYLQZfWqvFCnx3S3fYXLXyYEd2GV83YtVX+DEsiyqzlUhb1ceSo+UQpOjgTpHDW2BFsZqI1h7499zSYgEIR1CIIuQQR4hhyxSBmmIFHwxH3wRH3whHzwhD3wR3znzZLXDYXXAbrHDbrXDbrHDorNAX66HodwAQ7kB2kItNLlN73cWKUSQR8oRnByMoOQghHUOQ8LQBMRdEweBpPmyjF7NgRMA7Ny5E8OHD/d65shbHTt2REZGBoKCvE9WRIFTI5r65hw+fBgDBw70OoXt1KlT8cgjj3g9noKCAsyYMcPrH6g5c+Z4XNArYIFTK9aSJ68GqwFl+jKU1pSiVF+K0ppSFOmKcLLiJHfVP5BLA7+/5Xvc3bv+egdFuiKsObEGW7K3YE/+HlQYKgL2uoHGgEGMMgZJQUlIj0nHwLiBGJwwGJ1CO13ZcbSDwMlbVrsVJTUlKNIVoVBXiDOVZ5BZkonM4kycrTobsNcJl4Uj/6l8SATeJ7355JNP8MQTT3j13tm1a1f8/fffSEiof9nNV199hQcffNCrPrt164b169cjOTnZ4zYuLR04AQDrYJHxVQY2P7sZpurAz0q258AJADKLM3Hrj7ciR53jcx+P9H8ETw56Ep3DApfVtrZABE5WoxX/zP8HR5cfhb7Mu2LqylglBjw+AD2n9URQYlCzLDOz1FhwdsNZHPj0AHK3ezeLwRfz0WFEB4z5cAzCUuuWZ/HX1R44AcAbb7yBl156qdn6FwqF2L17N665xrdVDBQ4NaKxb05NTQ369euHM2fOtNDovLN27VpMmDChRV6bTjY9Z7aZsf7seszeMBuFOv+n665LvA47Zu1o8nksy3JFC7PV2chR5yBbnY3sauf9SuOVTfvtqR4RPTC1x1Q8PvDxK5Lmmn6WvVOoLcT8rfPxTdY3Aenvz+l/YlzqOI+fb7fb8fTTT2Px4sVevU7//v2xYcOGJmsArlmzBnfeeadXSYEiIyPxxx9/YMCAAV6NqTUETi76cj02z9uMrG+yAtYnQIET4CwZ8cRfT2DV0VV+ZcUcnjwco1NG44YON6BvdN+AFWkPROCkydPgm+HfQJ2t9rqfjjd2xMQvJyIosXnf7y01Fuz/dL9PWSKlYVKM/3w8ut/WPeDjag+Bk91ux+jRo7FlS/NkzV20aBGeeuopn9tT4NSIhr45LMti5syZWL58eQuOzjshISHIysq6YnuDamvNJ5tqkxp8hh+wtKGBklmcifSl6X73c33S9dh+73a/+9GatchV56LCUMEtO6wyVqHSUMmljXW7NWlQbar2eT28t+rNYpSTA+xoOmhsEp8P8HgAnw/m5NSmn9+I9hY4Ac73y8mrJ2Pt6bV+9/Xr1F89Xoqk1+tx9913e11X74YbbsBvv/0GpdKz94RNmzbhlltu8WoJoFQqxYoVK3DLLbd43KY1BU4uuTtzsf6R9Sg7Fpg0yRQ4XZKrzsWH+z7EFxlf+L0nlcfwEKOIQWJQIhKCEpCgungEJSBEEuJW84jH8Li6e650367389KaUny0/yOU1Hj/c3j5Uj2byYaCfwuQtysPeTvzUHq01PMkJAyQODQR0X2jEZQU5Fymd3G5niREcmmJXq1bMHAu03Mt17t4a9aauaV6+nI9dEU6VJyoQPbWbFj1TV8QYXgMlLFKBCcHI6pPFJKuS0KXSV0gEDfPcr32EDgBQElJCdLS0gKegn38+PFYu3atX99HCpwa0dA35+uvv8Z9993XgiPzzZAhQ7Bt27Y6BcOaW2sOnFwFcF21ZVJDU523YanoHNoZCUEJkAmvXDE4AMjX5OPJjU/il5O/+N3X15O+xr197vV/UD4yWA3c3pgKQwUqDZUorinGuapzOFt1FifKT6BIVxSw19t6z1YMTx7u/GD1amDatID17ReGAWQyQKEAIiOB2FggJubSERsLpKYCXboAfiQQuHbZtZAJZegZ2ZM7ukd09yhdfXMp15fjxu9v9DvFr4gvQu6TuYhWRDf53JKSEkyYMAEHDx706jX69OmDL7/80usaeP/++y8efvhhr4qVMwyD999/H08++aRHf8SbSsxgtBq5meKSmhJoTBquqLTWrIXGevH2Yl0cjVkDo9UIO2uH3WF3u2VZ1i1Dmevg8/huBa6FPCFEPBFEPBGXOloqkF66FUihECmgECkgE8m4+wqRAtcmXlv3/5IJ/ImhW/dtKHByqbHUYP3Z9fj11K/YnrMdxTW+p3tvSU0lhwCcwZQmXwNtgRYmtQkmtQlmjbnufY3zvsPmaPiwX/ax1eEMErz4bxSrxIjsGYmwrmGQhckgCZZwhzJOieCkYCjjlM7A7AppL4ET4LwoNXr06ICNMT4+HllZWQgL828JJQVOjajvm3PixAn0798fRqNvGzhb2nPPPddgnavm0hYCp8aESkORoEpAvCqeu0oXKY/kssfVPqQCqcdvbA7WgdKaUuRqcpGrzkW2Ohv/FvyLv8//7fMG4dqGJQ3DlplbWnXWOpZlkVmSiYf+fAgHi7w7ya3PzLSZ+Hbyt84PWlPg5CmhEOjaFejVy3kMHAgMHepxMJXyUQouVNcti9AhuAM6h3VGh+AOSA5ORofgDugQ4rwfIYtolpPVQm0hfj/9O17Z9kpA9s891O8hLBnfdCrw48ePY9y4cV5nWGopjz76KBYvXgyBwPMr1HqLHluyt2B/4X4cKDqAo6VH29wJ9W9Tf2sy2UdrSJPcXHw5nWJZFjnqHOzO341debtwsOggCrQFVyRBiy8i5ZFIDk5GcnAyhicNx3+v+S8AZ7Iru/3KF+dmWRYWtQU1RTXQFmjdj/yLt4Va2M3uY+MJeVDGKqGKV106ElRuH8sj5GB4zf/z2p4CJwB44YUXAnLOyuPxsG3btkbrpnrKm8Cp+dKEtBEGgwF33HGH10FTUFAQuncP/FpXtVqNkydPetXmrbfewvDhwzF69GiP29gcNlQYKqA2qaG36GGwGmCwGqC31rp/8XHXVUtXrQQH68DTg592+9j1edcbPQPnGwHDMGDAgGEY8Bk+d5Xzmb+fAZ/n/FjAE4DP8Lm6DXzepfu1azq47o9IHoEwmX9XF1xZ8Ty5Ys5n+BALxG5LH0R8EfgMHxa7BSabiatb0Zwpnx+95lEsGr2oTtD055k/ca7qHHfi3CG4Q4suU2QYBukx6Xgw/cGABE6dQgKYLGLePOcs0OUcDsBmcx52O2AyAVVVQEUFUFnpPFz3q6qcz/eU1QocPeo8XORyYMQIYMwYYPp0IDTU6y8lW52NbHV2vZ+TCqSIkEcgXBaOCJn7rVwkh5gvhlggdrt1sA4YbUYYrUZnPRSbEWqTGheqL+Bc1Tmcrz4f0GQjw5OH4+1RTde827JlC2677TZoNE1nxWotPv30U+Tk5OCHH36otzB4bUdKj+Dzg59j+dHl0Jq1fr0uAwbBkmCESEMQIgmBUqyEkHepJo7rAFBnVspit3D//65bg9UAnUXXqlLZX20YhnG+b4d0cEv6Y7FbUKwrRqGuEIXaQhTqClGgLeA+dt33Z+m0a0m7QqSAUqSEUqxEmDQMUYooRMoiESmPdN6XRyJBlYCk4KQGV2v8888/uPHGG30eSyDw+fx6D4FcAL7KeV8ikUCpVEKhUECpVDrvSxRQmpVQlCgQZAxCtC4asZpYxMfHo1OnTuDx2mdx+NosdgsqDBU+B2VykRzBkmAAwOuvv46MjAyv6u7VZ/bs2VzQ5GAdKNeXw+bwfIVAbSa95+9x7T5wevzxx3H8+HGv261cuRJjx44N+HjMZjMGDhyIw4e9WwIzY8YMZGVlITY2ts7nzlaexZbsLcgqyUJmSSbOVZ1DlbHKq/5dy97CZeFQiVTcyZar6jefx+eK07kK1AHOKx8sWGdQxbJuf6xtDhtsDhusdiusDudhsVu4w2wzc0FJ7ePH23/0O3Dyhp21c8HklSbmi3F377vxxMAn0CuqV73P2Zq9FYv+XeT2WJg0DB1COiAxKBExihjnoXTeRiuiEaOMQag0NKDpwG0OGwq1hThYdBDfHfkuIPtfkoOTMWewd5XHGzV+PODv1SmbDTh/Hjh2DMjMBDZvBg4c8C6Y0uuBP/90HvPmAffdB8ydC/iQma0+RpsReZq8VlmXjMfwMKvPLHwy9pMms+l9/fXXePDBB71aLtdarFu3Dtdffz3+/PPPet+XAeCHYz/gzp/v9GtmYXTKaNzb514Mjh+MeFV8s8xGW+wWt+WAapMalYZKtyW7FcYKRCmiAv7abVVNSQ2WjwnMnunQTqEYf/94dLyxI3j8SyfxLMvCYDVwfzut9kt/Q60OK+wOu9uFx9rBs0KkgEQgwe/3/o6Sww3vb6q5+O8C6s56x14Ti4lfTKynle+mT5+O2bNnN/k8lmXhcDhgs12s92SzwWQyQafTQavVoqqqCtnZ2cjKykJGRobP4wkKCsKgQYMwZMgQ/Oc//0FcXJzPfbVlIr4IodJQ5GnykKPOQa46FznqHORoLt0v0hU1+l4WJA7iVkV0f6o7xgWPc66WuPhYY8vPWZZFmb6MW7qco85BdnU2Ri8fjezqbORqchu9iCDii5AYlOicLQ1KRlJwEpKDk5EU5LwNlXp+8bJdB04rVqzAV1995XW7Rx55pFmCJgAQi8VYvnw5+vXrB4vF8ytJ5eXluPPOO7Flyxbw+e5/OLdkb8HPJ3/GvoJ90Fl8K2DbIaQDElQJCJOGQSaUQSaUQSKQcOviRXxRnYrf9R2Xz9rUdwh5Qr+mrsOkYUhQJaC4ptjnqw8thQGDruFd0T+2P25KuQk3d7rZpyCx0liJSmNlkzM+UoEUQZIgBEuCESR23spF8kt7Hi7+nwp5QvAYnjOgvVgR3jXDVlJTgkJtIUr1pXCwgavTMCF1ApZOWAq5SB6wPgNCIHDuW+rSBbjtNuCNN4DSUmDBAuB//3POMHnDYAA++QRYtgxYsQKYPLlZht3SeAwP03tOx/zr56NreNdGn8uyLF5++WW88cYb3r0Gj4clS5ZgWjMs5zQajdx7rKcyMzMxcOBArFu3rt4af58f+tzv5ViD4gdhaMJQxKvim20ZnIgvQoQ8AhHyiGbp3x+tdVmS3WpH6eHSgPRVergUJ38+iaDEIPS9vy/6zuoLVbwKDMP4/f5YebbS53FKQ6V+vXZ94uLiMHjwYJ/a2mw2t8DpwoULiIuLw7Fjx7w6n6pNo9Hgn3/+gVqtxrXXXssFTnaHHYW6QuSqGz9hb4hEIEGHkA4e7e/0loN1oFhXjGx1Nsw270rrAICQL+RqLbpmqAHnmFPDUpEaVs+qDTgvsORr8p2BlSbX/Vadi3xtPrJKspBVklVv+3BZOLfsPCkoCUabkQuSctQ5jV68lggk6BrelQuEagdFScFJiFZE16l/WZtW6/lsf7vd43To0CEMGzYMNTXeZbbp0qULMjIyIJM1b3KBRYsWYe7cuV63e+WVV/Dqq6/W+znX/psiXRHK9GXQWXTQmrXQmZ23rqP2ibFr5ufyj60OK6x2q3PGyGHlZo5sDhssdotfKVcB50yLUqzklg/Uvg2XhSNGEYPOYZ0xKH4QkoKS6j1hcE3dumrRFOmKUKQrciY0qJVBrtJYiUpDpc9BpTfCpGGIlDuXQETII7jlEJHySPSM7Ik+0X28XmY3d+PcOjNObZVUIMVt3W/DrD6zMCJ5RN3/V3/3OO3Y4f+MU2NOnAAGDHDOKPlCqXTOYqWkcA/d/tPt2F+4H4XaQr9/r660WGUshiYMxQ0dbsCt3W5FpDyyyTZmsxn33XcfVq5c6dVricVirFq1yqusdt4ym82488478csv3iV5USqV+Omnn+osp84ozsCdP9+J05Wn/R6bQqTgZpQj5ZFQipVQiVTOW7HKmczh4kWv+g5Xgge5UN68yRzayX4OTb4GixMXN0vfDI9B57Gdkf5AOjqP7QyewPelZF8N+QoFe30rgJw8Ihn3/HMPAGDz5s0BWaonFoshlzcdDLIsy8002e127r63FAoFt2xPoVBApVIhJiYGsbGxiIuLwzXXXIP+/ftDKq0/SHQFUNnV2Vy5D9cy6uzq7CZnYSQCCToEd0DHkI51jg7BHRoMjPUWPbLV2ThfdR4Xqi84D7XzNrs6G2Z74wFTrDKWe43ay/w7hHRAnDKuWWaurXYrF2zmqHOw8fxGrDq2yqe+3hjxBjqHdeaCJH/39VJyiEa4vjk9e/bEsWPHvGorEAiwd+9e9O/fv5lGd4nD4cDIkSOxbds2r9oxDIPNmzfjhhtu4B6rMFRgX8E+7g+kVCh13gqct65ld4H8RXGwDm4JnivYqr2PKl+Tj3Vn1+Hbw9/6/VqTukzCb9N+87sfm8MGvUWPGksNaiw16Nq7KyACIITzlgHAq+dgADgA2C/e1j7MAPQXDwOarJruiyUHl2DpoaUo1ZeiTF/WpmbZYpWx6BXZC70ie+H6pOsxLHkYVOJG3rRae+AEAA89BCxd6nv7t94Cnn22zsM2hw3FumJuCV6eJg+FukKUG8pRpi/jjgpDRUBn/hoj4ovcloG67ncM6YghCUMavKjRkMrKStxyyy3YuXOnV+NQKpVYu3Ythg8f7uVX4D273Y6HHnrI69UKfD4fn332GR588EG3xx2sA3+c/gPLjy7H9pztKDeUB3K4XmPgnMVQiBRQiVWIkEW4XeSJkEdcuvgji0BScFLjv7OX938VJoeo7zSqOQOn2pSxSvS5rw/S/5OO4ORgr9u3tsBp4sSJuPfeez1+PsMwDe5t4vY4CQTc/dp7nORyebPvXzLbzMjV5CK7OtsZ1KjdA6ymtk1EyaOQEpqCjiEdudqMF6ovoFTf+CxhqDTUPSCqdT8pOMmnouOBtubEGtz+0+0+ta15viagq1EocGqE65szfNRw2BibV1Os6delY8y0MVCKlYhXxSNOGRfQ/zi7w46SmhIUaAtQqi9FaUEpvlz4pcepNnkMDxKBBMnxyVj6v6VcivI9+XswZvkYbtaoIa4kCBKBBGK+MxmCgCeod4107b1M3H0wcLCOOofVYXUmT7i4Z6naVO1xDQuJQMIFeCHSEO6PdafQTugX0w/9YvshQZXQLH+Mm6PP5v51Y1mWq81Rqi9Fub4c1aZqqE1qqE1qVBuroTarubpMrmC29tHUlarGiPgihEnDECYLc7+tdT9UGooIeQS6hnf1al0xgNYfOJnNQL9+gA/7Jjl//gmMcxaELTxQiKKD3qV2d7AOaFgNdA4dDKwBelYPAwzgx/AhjBdCz+phtpvd9hjWnjnmM3xueWbt332xQIwoedSlIEkZgxBJCExqE4794N1FqNo6juyIsFTnctT8/HwUF3uXSc7BOiAPlUMZoeRmzV37ceocFuetwWqok667dpKbhtJ2i/giiPliCHlC1OTUQMAIIOaLIRVKudTdEoEEcqGc23SvECqgFCsRKY8EwzDo27dvg+UjXCdGJytO4mT5Se4EqVRfipKaEpTUlLTIXsumRCui0SWsC/rF9MP1SddjRIcRDQZTFDh5psukLtDkalCS5WF9JQZIuTEF6Q+ko8vELuCLPLsQ2toCp6effhrvvvuu3/20FVqzlgui/i34F2/vbjphTn2eHvw0hiQM4YKj5i4er7foUW2qRrWxGlqzFkabsd496a7D5rC5nReyLItKQyXOV58HC5bbD++6dXElGgPjvO9KNpYWlQYhX8jtrXclG+Mz/Dr3ucRjtZKQ9Y7qjX6x/bjXoax6Hvj959+hUqlgtBrdlnK5stfUzmRTpCuCxW7BfuzHktXuqXNDJCHOIEoVh3hlPOJV7kecKg5B4iBY7BYU6YpQoC3gsuG47ruO4priuleKL57jRcgiEKeKQ5zy4qGKQ6wylrsfp4xDqDS03j9KQxKGQPu8c/0my7Jus0AmmwlGvRE1mhoYdUbotXoYdAYYagww1hhh1BthVpsvTYc7LiZ1sNvgsDt/+B12B1i7c6Om63AFV3z+xR9i3qX7fB7/0v2LV4NkchlUChVUShVUQSqEBIdAFaKCLEgGsUoMkUJ0RdKCtkm1/s8ZAKEXj24+dmdnALPAeWvnATae+32GBQQO58Gvfd8BiOwWMCgGEKA0ym3pus6+fcDTT/sXNM2axQVNAHB2/Vlsf9X/YscuPAEPMekxSBia4DyGJEAZ418GRn2pHusfWe9z+1u+v4ULnBISEpCQkFDnOXaHHeeqziGrJAsnyk840/1fTPlfoC2A1eHlvrIWYHvJ1uSsPsMwSAlNQUpoCsanjq/3OTWWGi6IqjZW11lyXWOpgd6qdx4W91udWQedRQeNSRPQ75lrPNtzt2PRv4ugEqvwcL+HMXfIXI+WZ5K6Usenou9/+qL4UDEOfXEIx1Yeg6WmkQu9LHD+7/M4//d5yCPlSLs3Den3pyOs85VJpKTiqzBxqP+JIsJrwnF2w1nEpMdAERX4WnVHlh+B3eLbkufwruFIGFL3/ckfKrEKadFpSItOQ6fQTj4HTtN7TUd6THpAx1bb/sL9+PTApzhbeRZnq876lGE1JSQF4zo7E0JEyCMgFUi5i3SXX5B3BUgMmDqBlSv4qq9eXX1bSCx2C/QWvVvysXBZOPqhX9ODrke7DZxcpEIp94eqISzLosJQ4RZMFWoLuYCrUFeIXXm7GpxFkQqkDdbwYeBMRdoxpCOuS7rOLTBy3cYoYiAW+Fd53WqwojizGIX7C1GSWQJNrqbB+gaX44v4iOgegZCOIZBFyCANk0IWJYM0VAqhTAiegHeporeAB56A5yxU56rkfbFQnc1kg7HKCEOlAcYqI4wVRlRnV6P8eHmTv4QMn4EyRglVggpBCUGISotC3IA4xF4TC0lQy085X034LCBr/eehLc/hAM6dAzZtAv74A9i40fe+lErghReAZ54J3Pjq4bA5ULi/EIX7C/HvB/8CAII7BCNxaCIXTEX2iGwVFykKtAVYdXQVfjv9G7JKsnyaaVGIFOgZ2ZNbyx8lj0KQJAhB4qA6t1KhlLtCyWecAc7lf5ytdiuXqt2Vtr3GUnNppsusgcakQbWpGhWGCpQbyrmsc4GiECnQKbQTOoX6nqafZVmY7WZozVqoTWqU1pRyf9dOlJ/Ar6d+RbWp2uf+tWYt3tnzDjae34jMhzKbdZbpal40wzAMYvvHIrZ/LEa/PxrHVh9DxtIMFO4vbLSdvkyPPe/swZ539iB5eDLSH0xHt1u6QSBpvlO+cHs40nf7f+Ju2m3CyiXO/Y3KOCVi0mMQ0y8GMekxiO0XC2Wsfxd6Njy+AaZq39Lr9/9vf7fAyd96loHUb6lvQUBjatfb7BfTD/Ovm4/j5cdxruocKgwVqDJWcRdmapez0Vucqxq4jMkXb/M0efho/0dcn66VDPWVTHC9D7tmjGq/N9e3EurysjUCxpmMzLU1RSaUIUgSxN1nwWJ33m5EKaKQHJzs1fel3QdOnmAYhsso1Ce6T73PWbhzIV7454V6P9dY4dMYZQzOP34+EMNs0D/z/8Hud3bDYfVu3wNfxMeELyagy6QuzRqcWI1WnPvrHNY9vA76svo31bN2litqV7C3AMd/vHhVnwH6/qdvwFOitmtX8YkIWLbu18ey7nWcbDZnHSdX/abaNZwqKoDycuD0aefMkpfJZdwwDHD99c46TnfcAYSE+Pe11WP22dnI35uP/N3Oo+x4WZ2lv+psNdTZahxZfgQAIA4SI2FwAuKHxCNxaCLiBsZBJA9c2vqm/HnmT7y/931sz9nuU8a55OBkPJj+ICZ1nYQuYV382rvJZ/jggw80U73pKmMVNl/YjGhFNHcoRcpmX87GMAwkAgkkAgki5ZF1smS9NeotJC5O9Lt+U5GuCA7WwQWixHcihQjp/0lH+n/SUXqkFIe+OIQj3x+BWdP40uqcbTnI2ZYDaagUvWf2Rr8H+iGie+vLjhjRPQKafA0sukuzarpCHXSFOpz54wz3mCJa4RZMxfSL4TIMXmm1A4tA8DcQC/R4auPz+DhbdRZSgRT9Y/tzWzpc2ztcWXgvz7R8+f+La8bIFVC5StO4VjPVLlVjd9jdZo5cq6VMNhN0Zh0KtAU4UX4CK4+t9Ou9SswX49qoaz1+frsNnPbu3Yvz5897VfhWJpOhT58+SEtLq5NVb0DcAMwZ5H29mfrWgbMsi/Pnz+PQoUMoKPB87THDMOjYsSP69u2LxMRE7gc28dpEFOwtQOH+wsan+i9jt9iRvSUbsggZ4gfGN0vqUWOVEUWHinB+43mY1N794PMEPHQa0wmp4+tPjUl81Br2IDRX8DZsWPP06wkez1l8t18/Z/Hb0aOB+PhmfcmQjiEI7RSKtBlpAACT2oSCfwuQtzsP+bvzUbivEFaD+/SiWWPGub/O4dxf5wA4Z3uj+0QjYWgCNzOlivM8GYA3/K1rNHvAbCwes7jRtLNN2Zq9FfnafJ/bN2Vs57EIl4UDcAYWU9dMdfu8VCBFtCIaUYoobk9giCQEodJQ531piLNsgFAOuUjudisTyrgrrw19D1iW5Zay1FhquHpMlcZK5KpzcbD4IH479ZvfQVNiUCJW3baqWbJztXdRvaMw9uOxuPHtG3FizQlkfJGBvF2N12wzVhmxb/E+7Fu8DwlDEpD+YDp63N7jCo24aeM/H4+EIQmoOleFokNFKM4oRvGhYhRnFLsFhzUlNTi7/izOrj/LPSYLl7kFUjHpMQhODr4q99O1pF9P/gqtRes2k+SqGVY7+HEFQHaHczXT5UvvXLcu3McX3/ZZlnVrCwZcHVBXzU+7w84t7XOlGuczfGdAV2uvvusCkVgghoQv4fbLB0uCuYtGqWGp4Fl4CHrQs31h7TZwGjx4MEaOHIlTp04hMzPT7WiqQj2Px0P37t2Rnp6Ofv36oV+/fhjUZxBGdhzp9TgcDgfOnj2LQ4cOcUdGRkaTY+Dz+ejWrRv69u2Lvn37Ij09HWlpaQgODq7z3E5jOqHTmE5w2B2oPF2J4oxiaPKdS/V0BToYq40wa82XDo0ZDptzdurwd4dx+DtnMV5xkBiycBlkYc7letIQKfgS/qUlekIet1SPtbPOZXqu5XpWB+xm+6WlepXO24aulokUIoiDxBCrxJCFyaCMU0IVr3LexqkQlhqG8K7hzbr0gBCv8flAVBQQGwvExDhrPfXq5Ty6dQMkLbusVBIs4d4PgEu1ZvJ256FgjzOg0hW6p+Vn7azzBOZQMfZ/tB8AEJQYxC3tC+Q+hKySLL/qGg2OH+xX0AQAH+77EL+f/t2vPhpz4IEDXOBUH1ftkmx1tl+vw4BxW+biWmrYnCnteQwPN3S4AY9d8xjGpY5zqwFDAk8oEyJtZhrSZqah/GQ5Mr7MwOFvD8NY2fgF4fw9+cjfk4+/nvjL4+RTVwLDYxCWGoaw1DD0mu4s+M6yLKovVLsFUsWHimGsuvQ1GioMOL/xPM5vvLR6RxIiqbPML6Rj4Gf125MvJn4BADDrzCg7WgZtoRb6Mj0M5QYYq42w6q2w6q2w6C313totdoABxErnvnXXwRc5zyEZPuM8h+Q77wPO5eWsnXVu+bA74LA5YDPaYKmxwKK3OG9rLGAYBgKpAEKZECK5CEL5pVuhTMh9LA2TQh4phzxSjpCOIYiIiABfxIfW4nkdp3b9riYQCNCzZ0/07NkTM2bMAOD8Jc3Ozq4TTNXO9ORwOHDs2DEcO3YM3333HQBnVNy1a1cukOrXrx/69OkDpVLp1u7yICkzM7PJwlsSiQS9e/d2C5J69uzZYF2BhvD4PER0j2hymp5lWdjNdi6QMmlMsFvs9f4AX/6x6wALWPQW1BTXoKa4BrpiHXRFOtQU18BQUXevAsNnENIhBOFdwxHWJQzKOCWUMUooYhRQxjrvixRXbrlQu9aKl+pVCQRg+vTxux+WzwcYBiyPxx1gGPfHL953CIVwSCRgpVJAJgMrkwFyORiZDIxcDkapBKKjgZgY8CIjIRCLoVAoIJFIWv0VT76Qz+2hwBPO331Nngb5u/O5Wamyo2VgHe4/E5o8DTR5Ghxb5Xs2vfq8PuJ1FNcUY/mR5T6lVH/gjwdwuPQwHu7/sNfr1l1euv4lPNTvoUafszt/N97c+aZP/demFCkxquMo96yXJnVAghsWLHf1N9D4DB+JQYlcccmeET0xIG4A0mPSW1/B6nYiolsERr8/GiMXjMSpX08h44sMZP/TePDd1DK/1oBhGISmhCI0JZSbIWNZFppcDYozilF0qAglGSUoOlQEQ/mlcwtTtQnZW7KRveXS90AcJIZZ2/q/5taocH8h9ry3ByWZJag613gK9cv1nNYTPab2QGz/WChiFODxA5sC3ma2QZOrQd7uPBz830EUHfA8Ey1fxEdEjwgE9w72uE27Dpzq41ru1rFjR9x2223c4yUlJXWCqfPnL13dYFkWJ0+exMmTJ7F8+XKur9TUVKSlpaG4uBiZmZlNFtwNCgpyC5D69u2LLl26QCDw/b/q7rvvRmlpYCqYe8OtvoKYD14KD/xU554BsVUMoVkIoV0IHo8HgUAAnViHcmk5JNUSSIwSSAolkEich1QqRUhUCOK7xiOhewLEsoaTZWjNWmfmQm2hWxZDTzZoMwyDCFkEElQJ+C7rO8Sr4pEQlIA4ZRykQu+XKmpMGhRoC5CvzUeBtgCvbnsV+Zp8aMyNzygC4Kag45RxlzI3quIRq4yFTNiMBZhb48n+xWBuk82GaVlZLTsWD4lEIgQHB9d7hIWFISkpCcnJyejUqRM6duzYKoIshmEQnBSM4KRg9LrTecXXrDWjYF8Bt0+q4N8Cr5b8ekPEF+Hbyd/irZFv4YdjP2D50eXIKM7wuL3eqsfbu9/GO7vfQe+o3hgUPwg9I3siJcRZByVMFoYgcRCE/PrTgQNwS1HbkMb2rXojKTgJm2ZscnuMZVnUWGq4sg21a8u5MubVWGq4Eg9mu5nLkGq2Oz+unVr98lTrrg3WrhS+rvsivggqsYo7lCJn4VxXAV3XY0qxEqHSUJpNaqUEYgF6TuuJntN6oupcFTK+ykDW11nQl/pYlLsVYhgGwcnBCE4ORrdbnfljWZaFrlBXZ5lfTfGlc67mChR1Zh3OV59HhaGCu/hhsBrc0nHXTtdttBlhtVvrlG4ZnTK63pIutS8i1V7mVrscDI/h4abvb6pTQqF2UgUew3NPwHBZeu5ZfWc1+DUGdwhG8ohkSEIkkIZKUXqkFDaTZxdlijOLoYhRwGq0IighCJIQCcQqMSRBEp8yJtstdpg0Jm6FlL5cD3WOGvm78lF9wfOkNtJQKUJSQhCTHoOoa6MAD8uKtts6TngOgL+rZkwASgBUwP/pbjmAGADBAAJw/lR7k2BycjJyc3P96k8qleLTTz/16LkOh4Or5O1wOGC1WqHX66HT6aDT6VBcXIycnBxkZWX5lBGJx+MhJSUF/fv3R//+/TFy5EikpaU12c6Ver52OvhCbSEKdJeCrHpTwl8ULgvn0swnqBK4+6HSUJTUlCBfk+8WJBVoC6Cz6OrtS8QXcVkTXTXBuBT2F+9HK6IbPcEDAOj1gCLwKVtbnYs/J6tXr8Y0f+o4XTR9+nTceuutHrysszq91WqFzWbjfparq6tRVVWF8vJynD59GocPH/ZrPNHR0Rg2bBjGjRuHu+66iyvKWHysGOczz6PKWIUqYxUqjZXcfZO96T0oliEW7mfs8p8tb/eeuEoq5Ffl48KhCyg5U+Icj6nKoxkSuUDu3KcjC0WoxHkbJg1D12u7IiSp4SU0BdoCZBRnILM4E5klmThZcRK56ly/6o3JhDIES4IRLAlGkDgISrHS7WSCz+Nz6W9dG5Rdm5L1Fj1KakpQXONbyv0DDxxA/1hnEfXWlJWrudT+W2RSmyANCexe2UCfwlgNVp/TVYMBl0jJ3zpOE76YgPT7A5Ne2m6148wfZ5DxRQbObTwXsOV5tes4GauM6BHm+56pYhTDBPf3tED83+qKdag8XVln1twXyjglwrs4l9merzqPh9c9jONlx31+L4iSR+H27rejc1hnRCuiESwJhlKk5DK/ifgi8Hl8bl+Qq15m7fTcrppItS+QuPYXcbX6amW2c92abWautqfFbkGcMg7jUsc1PeiLWAcLY7UR+jI99GV6mNQm51I9w6WleZfft5lsYO0sWMelMjYsyzqX6bkuHDKX9jU5bM4tHvpyPfSlepg0Ji5Lc0OkYVIEJQa5HZJgZ4AmC5dBFiGDPEIOWbjMrdYZFcBthDffHG+05mwogQicgoODUV3tXXpalmUbDZw+/vhjHDvm31Kfzp07Y9KkSQErmGdz2LjUvLVnrb7O+hrlhnKv++se0R23dL2lzolruCw8MDMMhw8DAVi6FlBCoTOYUyoBlerSrUoFhIVxy9q42/h4530Pvh+BCpwWLFiA559/3u9+XDIzMzFkyBCYTP5tqAeApUuX4oEHHmj0OSzLQmPWuJVH4Mok1FyqR1daU1rvniE+w0eMMqbeoN3msNVba66hSvV8hu+cGb2sztzltwpR4AJ8B+tAmb4Muepc5KhzUGmsdCt8qzFfdlvr8UAsXXMVwhULxBDzxVyxW7lQ7ix6e/FwJXYIkYZwt4PjB0Mp9i+lcmNa89+iBfIFdZKR+IQBwjqHIap3FKLSorjboMQgv99Xf5/1O7K+yfKprTJWiTmFziRRJo0J+z7c1+jzXYk6XLOGZruZm0kUXisEvwvfLdvY5ZnHXCfJrp/p+jbgXz7zwJQwsG2zgTEx3IZ6Ho93aRaSqVVvkceHgLmUGjpM5l4TKjg5GGkzL120DPSseWs/PTVajThVcQonK06iXO8sPVB7Vrh2DTWj1VhvAHN5ooXL3695DA9CnrDB9Nyu+7XrIdUuYF77MRFfBKnAmZ7blUxGJpRBLnK+b4VJwxApj0S3iG51itOvXbsWe/fuvZLfXgAXZ9V4POfh4Dl/bk3OW8boPGC6OBPHMBAKhBAIBBAKhRAIBRAKhJAESyALl0ERoUBwbDCikqMQmRzpli2WCuCSgFOr1R7tqXIFS67ZJm9IJBLI5XIoFArI5fI6R2hoKKKiohAVFYXU1FT069ev3mQY/hDwBM6TPVUcBsQN4B7fnrvdp8BpWNIwvHHDG4EcYmA98QQwdmzdxx0OwGp1puau79ZsBqqrgaoqZ5pu1215OZCf7/ycN4G2UunMOOfKOjdsmDMg9GOJamNOnDiB339vOgGAw+GAzWbjZptsNhtqamrqzDhlZmb69Uc+PDycm3G65557mnw+wzDcjEmPyIav8lrtVpTUlLgFV/sL92PF0RVcQOSNR695FN3Cu7kFRFHyqGbLnGa1W1FcU4wiXRFKakq4Qq86i+7Sba37FrulzokmAMhFckgEEoRKQ7nPua7UMs6S9Nzyl4aWuNQ+EREJRG41Q1xpeC8/xnUeh2HJLZjJ8SoilAudQRcLgAUqz1Si8kwlTqw5wT1HHCR2BlG1AqrInpFXNJ2+iyRIgmEvD4PVbsXBooPYlrMNpypPIV+Tj3xtPioNzmDfzrMDPACXLy44dfFoAAMGIr7IbWmWq3goAO7nu3YtMq7ocWjD/TaGfbl1BzJX2p78PdBb9dxqlNpZ3C5/L3AFLnyG32iA6Zo9qp2S23X/8tkjm8PGLdPVWZzpuU9VnML3R773u3ZcWlQaVk9ZjS7hXQAAmzZtwieffOJXnwDwxhtvoHv37k0+z3UuWXsFk9lshsFggNFohEajQWlpKTJOZiAzM9PrcfB4PERGRqJLly7o0qULOnbs6HFbCpyIR5RKJTIyPN9rADh/MLk9Tnx+kx/z+f6ffLEsi+LiYi47YVZWFgwGzwpnRkdHo3///lxij9op5xePWQyNqel9SZdLCHKvMl5dXY1Dhw7h4MGDHmVPdAkNDUW/fv24fW8hgar506MHcNNNgenLxWIBzp8HNmwAVq0CDh5suo1OBxw65DxWrXI+FhwM3H8/8H//F/BsdMuXL+f2IjYXHo/H7WkKCgpy2+MUGhqK5ORkdOjQAZ06dULnzp255XmBJOQLkRCU4PZzuD1nO1YcXeFTf88MeQZJwUmBGl4dWrMWG89txM68ndiZtxNHSo94nSRCwBOga3hXRCuiESmPhEwgg0QggVQohZgvdqtQ7zoAuC17cZ1s1q4fUrsKvcl+aX+Ra7+R0WqEwWpwO6LkURQ4BUj///bHiNdGoOxYGUqPlKLkcAnKjpSh5HAJt3fFrDEjb2ce8nbWSs3NAKGdQt2Cqei0aAQl+T871Rir3Yq7frkLG85tQI3Ft3pvYr4YC0YuQM/InohTxiFEGgKpQMr9LHs7fi6lc62aOK4T79qH6+e39oyJ3nL17JEKlM0XNuNU5ak6s0cWu6XeGkU2hw0O1lFvem4ew+Muvl2ertu1ZLj251iwsNqtXDDlYB3c+5mAJ0CsMhY8hscFcg0dUoGUmw0Pl4WjS1gXdIvo1mjmT39UVlaiqKjp5A2uoKmxwKmkpMSn/ftyuRwhISGIjIxEXFwc4uLiEB0d7XH7dh04aUwa5KhzUKQr4iq/6616mGwm7g2l9hS6ay2oa5Ot6w+tg3VgQuoE7j6P4blNt7qmy11vcrV/OVz3J6yaUOePuetKp+sKKDeNXutKKJ/Hx7Se0zAoflCzfq/4fD46dfK9Uv2VwjAMYmNjERsbiwkTJsBms+H06dPIyMjggqnGknS4siTy+Xx0796d20fVv39/DOs9DBIvTuC1Wi0yMjKw/uB6HDx4EAcPHnRLKNKQiIgILkhy3SYlJbWK5AEeEYmcqbe7dQPmzAHmzgUWLfK+H7UaeO895+zWRx81+XRvzJo1y6slfwzDOKf+BQLw+XwIBIIGDz6fD6VSCYVC4ff/mcViwfHjx5GZmYmMjAwcPny4yQQzgDNjaPfu3d0yfMrlzmxn6THpyHjQu4sgLjHKGO6+Wq1GZmYmlyH0zJkzHs0yh4SEuCW/SU1N5ZLf/Hj8Rzzx1xMwWD272FGfaxOvxYTUCYhTxkElVnHL5sQCsdsSO1eBRteMUZv5/WrHhDIh4gbEIW5AHPcYy7LQ5mvrBFNVZ6uc+1pYoOpsFarOVuHkzye5dmKVc3YqsnckotOinfd7RQZsrAKeADd3uhlmuxmbL2z26WfabDdj/j/zkRycjAh5BJewQyaUuRUfFfPFdQqP1r4v4osaPXkOlgRz96nulucWjloI4FI2UnWO2rnnp1QPQ6XBmYq7xsLd1k6hbdVbYTVanZmJ7Q4IpUJnem6lCAKJgNvnwzAMGB7Dped27RFynTuyDhY2k43r32a0cc8XiAUQKS6l5ubu13pMGiqFPEoORZRzGVtwYvPWv3IFQ55wJQ7jlup5cNROKCaVSrn7rlu5XA6RqO4MtFarxb333uvRuNrtHqcblt6AE9oTqDBU+LTmvXtEdwyKG4RYZSxCpCFQiBSQCZ1XNl1rSutb7lHffddzXRv/XFcfanMFX5cXHbParegQ0gHRioaj5beufwu68vqTFHiKBx46hHZAeLdw7g9MVK8oyMIDk93t3w//xZHvjvg2NgEP9++73+Pnu9LCZ2RkuAVUTc3+CAQC9OrVC/369eOCqV69ekEkEkGv1yMzM5MLkA4ePIjTp083OZbY2Fi3ACk9PR1xcXGev3H5u8dp6VKgif00PnE4gJ07nbNHq1YBTaTcb9D11wPffgskJwNovXucrhS73Y5z585xgZQrw2dlZWWj7Xg8Hrp27epWe+7ycgmNqa6u5n5XXIcnFwFiY2O5LKGuYKmpiwBmmxl7C/Zib/5e5KhzkK/NR5WxCtWmalQbq1Ftqm6WFNuXL71z7V+qr6Bi7Y+lAimCJcFcUcXaR6Q8EvGqeIj4V26p2NW6x2nw04Nx07uez45bDVaUHXfOTpUeLuVuGy20zjjTE9vNviWHqL3HqTaL3YIcdQ7OV51HSU0Jl+Sl0uBMrlJlrEK1sRpGmxFGq5HLwObaF3MlyYQyt715tQswJwYlomNIRwyKH1TvjER72uOkL9dj7/t7nRn8MoqbrJ1VW3SfaPS8sycShyYiODkYsggZ+MLABKwOmwOGCoMzy9yefBxbdQxFBz1Pzy0OEjvrXvWPxeC5g7k6fY899pjHCcIas2PHDlx33XV+91Mff35etFotgoOD284ep08//RTvvvsuSkpKkJaWho8//hgDBgyo97lffPEFvvvuOy6pQL9+/bBgwYIGn9+QX6f+CpVKBZZloTapUWWscnvTqn1be5nG5WtNbQ4btGYtqoxVbtlM6rutvamzdmYTs90MnVmHCkMFcjUNJ3FgwHBLTmpPsyrFSkTIIhAhi0CkPBJDE4fi5k43c1eOJHkSmHP9T8OZD2fRvNoU0QpE9op0BlK9oxDVKwrh3cIhlDaRDe4yukIdijN8y0zDE3q3xInH43HrWqdPnw7gUv0uVxDlOkmsfUJqs9m4E9Uvv/wSgDPldHx8PHJycpq8ipKYmOgWIKWnp3s1PdwsjMa6QQ3LerbH6fL9TZWVQEUFcO4ccOYM4MHMiBseD+jQ4dIepxEjnLNWhMPn87mfXVcAybIs8vPz3UolZGRkoKDg0v4lh8OBEydO4MSJE3XKJdSuPde3b1/YbLY6BbkvXLjQ5NhSUlLcZpL69u2LqKgor79GsUCM4cnDMTx5eL2fr52u25Xy12g11lluVPtwLZ9xLaFx3Xdllbo8pbfeonfup7LoUFhdCIvd9/TrDBh0DOmIUR1HYUynMZjUZRLNbl0BQpkQcdfEIe6ay2anCrR1gqnKM5Xc7JSvQVNjRHwRUsNSkRqW6nVbu8PuFki5Vr5cfriypLl+5l2JJgxWA7eiptpUjVx1Lg6XHm5w+aBrmV5j+x8ZMBgUPwhzB8/Fbd1va/B5/mqNvye1Z3q4zHB2707YGT4DvtBZpoUv5ge2rhHjLCTMHXzvvodWvRVmjRk8Ic8te91YZiwi0HgNUE/8c/0/2B+zH6EpoQjpGIKQlBC3W3mk3Of/97xdefjm+m98ant5RsfGtPiM0+rVqzFz5kwsWbIEAwcOxOLFi/HTTz/h9OnTiIysO21+1113YejQoRgyZAgkEgnefvtt/Prrrzh+/Dji4uLqeQV3rhmn3h/0hkAm4Ja/XZ4PnwFTJzuJK3uJ2+ZhV6aaerLZuJbi1U4dya0xrrUe1mA1QGfWodxQjpPlJ+tkVam9tMQ1JS8WOK90uuprRMgi0CGkAzoEd0CX8C5culsAWJy8GJpc7/fnAECPO3pg0JxBKD1SirKjZSg7WobSo6WNXl1heAxCO4ciqlcUF1BF9opESIeQBvP1b5q3CXve3ePTGHlCHl6yvHTp9QOV4pcFoAHg42QJh4FzM24A60JyV4VbY1a9ywkEl7LrhYc7M+jVzqwXFwd06QKkpDiX+TWisrIS58P9X3sdDyDW716aQQDfjisqKtwCqczMTJw9e9bvq7iuZay1Z5HS0tKcZR78ZHfY8ebON7nldZdnqZMJZZAKpdw+D6nAeRGpuU6wjFYjCnWF+Cf7Hzz515N+12/qEdED2+/dXic7WSC15hkni973AJQv5IMn5OHUqVNYu3Yt1q5diyw/a7oxDIP+/ftjwtgJGDdmHDqmeL5BvKH+hLJLFw2XH1mOVcdWOetfXayB5brlfp4vZjlz/Wy7luHVl2xEyBe6rUypT+09eq70+QarATWWGhTXFKNAW4A1J9Zg4/mNfn2tHUM64oPRH2Bil4l+9VOftjZzxbIs1NlqqHPV0Jc603NzS/X0FlhrLqXldi3Xc6XodqVJF8ouLtVTOJfqcWm5AS4AYhjGmY77ssOit8CsMcOkMcGic/8dEweJEZwUDFm4jFum5zpk4TLII+WXjig5ghKCwBPUDeTWz16PA58c8On7I5AKMPTZoVBfUKP6QjWqzle51deqTSgXOgOpWsGUK8gKTg52SyF+udyduX4FTm/hrbaRjnzgwIG45ppruGwdDocDCQkJmD17Np577rkm29vtdoSEhOCTTz7BzJkzm3z+5SkHrQYrKs9WwlBugKHSAGOVERadBRajBWaD2XlrdN5aTBZYTVZYjBbnZjXWDr6UD6FMCEbCQCgRghFdDJjAgmUuXpkACz7DB1iAcVzc9McCcACsmYXNYIPNaIPNYAPszl8SkUgEqUQKsUQMkUwEgVQAoVTovJUJIZRdTLEYJoM0TIrg5GAoY5X1vuH4Ezil3ZOGyd9MdnuMZVnUlNQ4g6iLAVXp0VKUnyhv9GqdUC5EZI/IOjNUsnBZQAOnQGvNJyKO0lKULlqEs2fPNrlc63JRUVHo3LkzwsPDwfD5znTgPJ7ztrH7fL4zwBGJnKnH67uvUHDBksHhwK7du7Fjxw6P9ue4SKVSDB06FNddd537SXkrvAoZMPW8HQe01o8VgL8X1AUI6FqF2r8fNocNwv/zbrYagNuJpmtvh2t/h2sZtOuE03XfteG6dpFJ14Us12Gy+ZZePkgcxGUeTAlJwYC4ARgYPxBdwroEZA+J3WGHzqJzS7Wus+hgtVsx8Qf/TmTfGvmWs3h5rWXktYtlur63tS/muVZCuAIBhUiBEGlgEtjYbDbs2rWLC5Y8WSIKAP3798d1112Hbdu2eZx1q1u3bpgwYQImTpyIQYMG+Z2w6P097+PlbS/DaDXWWxbAHwwYtyX+rtUtgXodiUDCFT2OVcYiISgBiapEpMekY0jCEMSpmr5Q7au2EDjl5eV5tBw/EFiWdZ4vOi7ubzKwsNfYYdfaYdPZYNNePDQ2WNQWWLXO7JMMLqby5vMgUUmgiFRAGaXk6hhxR4TzVqQQNfi99ydwkoZKMa9ynttjVoMV1dnVqL5Qjerzl91mV9d/LskAQQlBdWapXMFV2bEyfDPsG5/G6E3g1KJL9SwWCw4dOuS214DH42HUqFEe54s3GAywWq0IDfUuv+bq21ZDf1bvdUDR/7/90f327ghODoYqXhWwdamA85fDWGWEOkeN8hPl2PT0JujLPM9kI1KKENEtAjH9YzBm8ZiAjq02hmGgjFFCGaNEyk0p3OMOmwNV56pQerTUbYbKVcnZqreicH8hCvcXuvWniFYEpOhve8SLikLM228jBkBubi62bt3KHfn5+U22B5xLCEeOHImRI0fihhtuQExMTNONGmG1WnHgwAFsWbUKW7Zswd69e2GxNH2lWSQSYfDgwRgxYgRGjBiBgQMHQiwW+zUWj7TidfRA4APv1nwh4MKGC/hb8TcsrAVmmGFmzbBc/GdmzbDCChtssLLWOvftuLgs2m4Hy2MhiZJAHiMHK2C5ZD6XF410XdRqbD/q5bfWKis0hzWQM3JIIYWMkUHKSCGDDDJGBgkkzgtlJjiPcgBnAA002I/96HVnL+d73uXfV5ZFjjoHR8uOuhXTLtOXcUutXHWpmsrSJuQJ3fZaBUmCIBVIuZUTtYv9uu67MnVlq7O5WQsba6tTZ8Zit9RZzu6a0dBbnX+vUkJScO7xcz7/HGg0Gvz111/4448/sH79eo9rCA4ePBhTpkzBrbfeiuSL+yIB4MKFC/j555+xZs0a7N+/v8H2J0+exMmTJ/HOO+8gPDwc48ePx8SJE3HjjTdC4UOh8blD5mLukLlgWRZWh7XOVgCzzQyj0Qh9jR56nR4GvcF5GAwwG80wm8yw2etuE3A4HM6lYqwDDvul7GNgwWWN5PZZ8y4LgHl8CPjOJDZCgRBKmRLBymCEKEMQogpBWEgYQkNCIQ+WN9s5xNVg7dq1mD17tt/9DBkyBKmpTS/hrC89t8ViqZNlrry86bIpYrGYS57gKvUSFhaGiIgIdOnSBd26dUP37t2RmprabLP5QtnFC+k96q4sYx0sdEU6bnbq8uAqZ2sOcrbm1GknkFyZkKZFA6eKigrY7fY66+CjoqJw6lQjBQxqefbZZxEbG4tRo0bV+3mz2Qyz+dL+Hu3F/RwDHx8IU54JFacqUHm61oxTpbHRzavHfjgGTZ4GwcnBCEoMgjhI7Db1yf//9s47Po7qXvvPbO9NvXf3JnfLxmDjGExPMJiEnjfhJhcIhiSE5AYIAUK5Sa5DD+ReSKE7BIyBJMa4YuMmW7axrN4sq5eVdlfb5/3jaGZnV7vaKkuWz1ef85mi3dmZndmZ85xfkxF/VUbM8FNGRCxMXreX94n1eoiJ1WUTZFsZdMLSbuGF02iiSaYh2VC4pkpRQZ+rR/q8dOQszxmXG55IIkLytGQkT0vGzBt8tWWcFic6v/a5+XUe93f3s7THlqqV4k9eXh7uuOMO3HHHHWBZFvX19X5Cqq0teAxZc3MzXn/9dbz++usAgBkzZvBC6pJLLgnrgsWyLE6ePInt27dj+/bt2LVrFwYHwycjkUgkWLJkCS+Uli1bFlGtsIQzESxYE1y8nStOvHkCJ9+OvCi2ZPhPieDXDSNikDYnDVlLs5CzLAfZS7NhKjHF1Rk4/eFpvPvQu7AO/0VL3so8XjgNOAbw0qGXsLtpNw6dPRR17RWlRIlVBauwtnAt5qbPRZ4+D2maNCglynGJD/GyXthcNgy5ondpbGxsxMcff4wtW7Zg586dcLsjSwBSUlKC9evX45vf/Cays7P59cL7nVKpxC233IJbbrkFTU1N+OCDD7B582Y0NDSE3G53dzfeeOMNvPHGG5DL5Vi9ejWuueYaXHXVVX6fEw7XkAttR9pw5qsz6DzRicGzgxg8OwhLuwWOAQe87tCxsUqTElkzsqDL1kFhUkBpVEJhVEChV5C+hlQEkcTXGBED1sPC4/L4uXK5bC7Y++2w99gx1DeEoW4yQNv5dScGXYM4i+DJA8RyMRQGBbSZZKBUl6ND5qJM5CzLQfK05JCu95TIuemmmyKq3ceyLF8fk5sGpudua2vDnj178Mc//nHUbXH94v7+/qD/z8vLw/Tp0/GHP/yBF3VFa4sg18Y2kClRRic1GBEDXbYOumwd8laOLH/hGHAQa9WwmBrqjc+FGgCsDisQYfLfcXXVO3v2LLKysrBv3z4sW7aMX//ggw9i165dOHBg9KrbTz/9NJ599lns3LkTc+bMCfqaX/3qV3jsscdGrO/t7Q1pjuPSO7qGXMSFbsg377KRqcft8ZlNvawvReRw83q8fsvwEuFk77cTX9R+O+x9dtj7yY3M3k/mef9UBlAlqcgNK1MLTaaGWHkytdBmaaFOVUNhGL6RGhSj+n0aGANEiC340Aln0M5BvJcNy7KwdlrhsiYmY5CxMLhbiNvhhrnJDFu3zxWTSwPqsrn48ymcClOEsl4WUqUUUrUUUqXUF2jJTQSdE5YlwcVkgZxv15ALLqsLboebCGkRA5FExLtc8q6XSqlveTgtqdKkhDJJCXWKGvo8fVximGVZVFdXY8eOHfjiiy+wc+fOiEamRCIRFi5cyAup5cuXQ6FQoLGxEZ9//jm2b9+OL774Ap2dnRFvixNKy5cvj2kUd0IInURzjm7DLMtC9Ov4ApG9j3jHrFP+9+/8PSrhJITrxHExA6FQmpTIXpqN7GWkZS3KglwXeYfg9Ien8e43341pHwHg+4e+j8yFJMJuw+YNeO/r92Le1o7bd4RMohEpl/3tMtT1Rub+FgvHfnAMGtnI37nX68Xhw4d5F7wTJ06M2T4kmvnz5+Oaa67BNddcg3nz5gX9PXjdXry57k007mwcVRwFI3l6Mq79v2uRtThrTMWJY9CBqi1V+Mct/4j6vQqDAhc/ejGWbkx8KZTzwVXvhRdeSIjFKSMjI+q6jMJamMEa9z+GYfxScwdrgRanKVOm8KUrhIzFPX8iZU0MDOMZjXEVTk6nEyqVCps3b8Z1113Hr7/99tvR39+Pjz76KOR7f/vb3+KJJ57A559/joULF4Z8XTCLU05OTsjXR8Pq1asjciUSmli55na74XQ64XA4MDg4iJ6eHrjdbr+LXy6X802hUIyYV6vV0Ol00Ov1SE1NRWFhIQoLC1FUVORnJZjsF7wQlmWx77f70PJlC7pOdaGvri9sR4pDmaTEkvuWIHtJNgwFBqhT1ZBpZAnJeONxeYhFscOCnuoetHzZgv2/2x/xvomkIiRPTUbKjBRM+9Y0zNowK679YVkWX3/9NW+N2rVrF3p7e8O+Ty6XIy0tDc3NzWFfyzAMSktLeaF00UUXhb0hRUSir+cJei0LcVqd6D7dje7T3bC0WfhBAIfZ4Sf4+QEAwbxIKoIuWwelSekfgKyU+FnHRRIyDxZ+lnHWw8Lr9sI95ParRTLUM4SBMwNgvazfAECwebleTuIxTUpos7RImZ6CpKlJI7JvxiOcTCUm3HXkLpw9fBZn9p/Bma/O4Mz+M7B1h6mfwwCps1J9YmppNpKnhh5NT6RwcrgdePPEm9jdtBsHWw+isrsyzLsDd53BoqxFWFe8DrNSZ6HAUIBUdSqMSiPU0siyU7UOtIZN7/7CwRfw2/2/jWrfOAYeGoBWTtLe22w2bN++HVu2bMHWrVvR3t4e0TbkcjnWrl2Lb33rW7jiiisiTqMf1X4ODOCTTz7B3//+d2zbtg0uV2SDetnZ2Xxc1KpVq/z6BC37WlD/eT25Fr86A3tfZDFzjJhBwaoClFxZgpSZKdBl6YilyaCIOmMtB+tlYTeTAVtbjw39Df1oPdiK6o+r0VMdeXysNkuLtDlpmHLVFEy/fjqfrjqRXEjC6bXXXsP3vhd5OZXxYrL3I88b4QSQ5BCLFy/G888/D4CMQuXm5uKee+4JmRzi2WefxZNPPol//etfWLo0utEO7stJBJ9++imSkkbPjsSybFDh5HA4YLfbYbfbYTab0dXVhc2bN8ecJUitVqOwsBAFBQWYPXs2HnvsMT6wdbJf8IG0HW1D64FWdFV2oftUN3pre2HrsY3INhMII2L4jpOx0AhVigpyrRwy7bArplrGdy6Fbpgiscivg8nNc2LJaXHCMeiAw+yAuYUUyWvZS4TdaIjlYl9nM1MLQ4EB2UuzUbC6APrc+K5hl8cFi9MCi9NCgsztA6ioqMChfYfQ09HDx4AICz0HxocI/weAr3QukUqQNyMPRaVF0Oq1I2JEuADzwCD+wFT7ScokvsPlf6IuHOHUdrQN713/Hvob+qN+b8kVJbj29WuhSlGNmYWI9ZL0zu/f8P6I2MWwMEDanDR8++NvQ59Drud4hdO91f4dGZZl0Vff5yek2ivaw6YPVhgUyFqSxd8PspdkQ2Egxa8TKZwCMdvNqOyuRIu5Bc3mZrQMtKDb1g2zwwyz3ew3HXAM8L+9YIgZsV+ck0ws84tv8ot1Gk5YIczIxpXNcHqcqO+rR8tAZDGTAEksoJKqoJaqceruU7zFqbaxFmd6zpAaRkM96LX18nWMuNZj68GAY8AvyYFEJ4FIIeJrY6WqU5GqSvXNC1qKOiVo3Sy7244uaxc6rZ0jm803P+AYgGfIA8+gLzidAcPX6jIpTUhSJsGkNJF5VRJMChNMKhNyknNQmBs8Mx/LshhsHcRg2yAsbRbeVY97PnDu+n5TixMel8dvEEMkEZEgfhHj7/nAgPd0CHTVcw+5YTfbESxvhFguhqnIBEO+gYQeaGX8c0+VrIImnXi7aNI10KRr/LIGJgou5Trn5plvzE/o9n+/7/f8tS6M8xPWaxPWbVPL1Pz1q5apIRfLR9xDt/7fVnzwlw/i3rfFRYtROrcUpmITTCXkPCQq1MJpdWLPb/bE/P4pV05BThkxNEz2fuR5JZzeffdd3H777fjjH/+IxYsXY9OmTXjvvfdw+vRppKWl4bbbbkNWVhaeeopUaH7mmWfwyCOP4K233sLy5cv57Wg0mojcfhIpnO6///6oXI0402mgWTXYOpFIBJlM5mdpCrQ8qVQqGAwG6PV6KJWhfdon+wUfKR6XB/Y+O5xW54hR+cB5r9sbmRvm8AMNLPFld/Q7iOtln8AFs88Ot91/RJcRM36ul9osLe+WacgzwFhkhDZDGzQtaChcHheqeqpwvOM4Gvsb0TbYhnZrO9ot7TDbzRh0DhKh5BiEwxO8rhcDhh+x5lLdc9XqNTINZGKZX7atwHkAI8SVsO5ZYP0yrt4IFyzNpc61uqz48bIfY+PSjUF2chK66gUi+H257W70VPeg+3Q3uiq7YGm3YKhniLc48W7EgimXkUhhUMBQYIAhzwCFSeEXjymRS8gggETkZ3liWdbf2jQ8DYzH5Ios9jf18y63IonI3wVVJYXS6IvFVJhIJlB9rh7J05ORPjfd7xpPtHAKhtPqRNuRNrTsb0HrV61o2d8Ca0f4WKWUGSnIWkpcp47+KbIsbcEItDh127rRbetGl62LTK1d/LLLE9rqwbIs5BI5NHINVBKSzlon10Er10Iv10Mulo+oH8g1j9e3DAAur28gxeKwYMA5AKvLCovDgiH3EMlECBFftoMbCBExIkhFUiSpkpCqTkWWNgsZ2gykadKQrEpGiioFKmn0wt3lcfHfQae1E13WruDzti409jeOqLOll+uRqk6FQWFAn72PF0RC5GI58g35SFGT+ofCWogpav/5JGUSpOLEC4axgGVZOAYcsHZa+dTYlg6L37K1wxr0maRKVkGdRlJTa9I0fIpqblmZpIzKA2PAMYCanho09jeisb8RTeYmdFg7/K7znqGeqOqk6eV6GBQGyCVyPwEUKIoA+GXM9Hg9fvXcuNpXXK0rm8sWMiPhq1e9iu8v8C8Uf/CFg/js3s8i3u9IYcQMDHkGmIpNMBYbiaAqNiGpJAmGAgMk8sjjhaxdVvw2NTZLMQBctukyLL2PGCcmYk2tsWDCZ9UDgA0bNqCrqwuPPPII2tvbMW/ePPzzn//kE0Y0NzdDJPL9UF9++WU4nU6sX7/ebzuPPvoofvWrX0X8uQW5BX7bjYUfbPgB8mfmQ6ZJfFV4u9keWdKEAcA2YIMN/u4oxgLjqHFPkxWHw4GpU6fGvR25XB5xADBnUeTEpMfjgcvtglPuhNPohChJBAkkkHllkEACkUgEiUQCmUwGuVwO2YAMMrsM8jNyfp1cLodGo4E2WQtjhhE5uTkoLCxEbm4uJBLfz9blceF/vvofvH3ybZzqOhV1oU6lRInb5t6GlXkrsSx7GbJ12VF3EKxOK2p7Y8+gNRoV7RXQK/TIN+QDIA/CBJYKnPC0traitXXYkpMPqPJVUEEV9n2sl4XH4YHX4YXX6fWlsx0WRW6WCFku/pL1sv4pb8HC6/DCbXWTdLcWMnVZXHAPuuEccMJtcQMSQFekg1wvJyPTaVqoklRQm9REKBkUvIsRF48pUUrG9SEsU8uQtzKPDzpmWRbmJjNa9rf4rFJH20fEpXSd6gprJY4WuURO0pYHSe3MsiwGHANBBRU3bR5o9lsvFAdSkZSIF4EIMClN/DaFAkSYdl0hURARMfy+dE06UlQp/LY4QcQtGxXGhKRYFyIVS5GhzUCGNnyGzyvevAKf1fp3YM0OYpUbjWunXYt318duOYyIcbjOGQCK4TZ21cKGCRhAtTqt2Fq9FXua92Bv814c7zgedXr0QmMhLi+6HNOSp6HAWIAUVQpv3dMr9LwoSjQsy8LhcfB1NblMloPOQUxNir9PEch9jffBOehEb22vr9WQKZemG/8OeBMD6HP1vJjiWwmpcxSrG2ckPPAAizA5J0KyaRMQzhvR4wH6+4HubtJ6evynwdYNBckJoVYDSUmkZGRycvB54Tq9nlRbicaoMu7CCQDuuece3HPPPUH/t3PnTr/lxsbGhHzmhuYNUEAR1zbeXvo2AEBhVECfo4c+Vw9djg66HB30uXp+nTZLG7XptfLvldjy/7bEvG8/qvtRyIQJiWCijT7w1bxZFk1NTXFvb9GiRfjkk08i+lxhthsufo1zw7Rarairq8Px48fx/PPPR5xWNxhKpRJTp07Fxo0b+Sw8drcdx9qP4evOr+HyRp9oQyfXoTS9FAsyFiDfkB/TeT0zcAZP7Hki7Os+rfkUNleYeJMgrJ+xHu/f8D4AQMSI/B7WLMvC4rTwI5fc6H2PTTA/NHKeE5giRgST0uTXGeQatywWifnOabetG91D3f7Ltm54WGLhETNiJKmS+G0kKUPMC16jk+vIcQXhT3/6U1QDQiG/w/XrMW3atLCvC3Qt9ng8cLlc5Hr22DHoHkS3tRu1DbUhszRyBFrHdTodDAYDTCYTCgoK+JjMSy+91BcXwiDmYHhGRAqOR3sNMwwDQ74BhnwDZn97NoDhTGjlbbyQOrP/TMKyf0ZqrWcYBnqFHnqFHsWm4oje4/Q4cd9n9+GVI6/A5XWhzdKGNsvo54ljRsoMHPzeQahlCazUHUBvby+qqqpQVVWF6upqVFVVobm5maTSHgW9Xo9p06Zh+vTpmDZtGqZNm4bs7GwwDIM/XP4HPO54POp94epMeb1etLS04PTp0zh9+jQqKytx+vTpsJlBRSIR8vPzMXXqVL5NmTIFBoMh6n2Jignq7dFsbsZFr1+EZnP4+NdgzE6djb9962+YnTo75v7F6e7TeOvEWzG9dzT2tZAak4syF+HqqVcnZJtSlRSGPANSZ41Mx+22u9HX0BdUVJmbzDA3mdGwfWRGSF22zs9SpUoOP8gWKU4nYI0+iSgA4OBBMoYwmiDq7R15aQcTQfPnjy6MzkVi3gkhnM4nMuZn4Pp3rsdAywDMzWaYW8z8fF99Hxp3NsJpCRj1Z0itIk5MccJKKLDUqeoxy54zezaLCGL5g3LqFJAZ3B0/KE4n0N4OnD0LtLWRaeB8ezt53WgkJZHPzcwEMjKCz+t0YzegV11djeuvvz6q94TKcMO1K664wi/rjUKhCJr0g5tqtVreFTM7Oxvp6ekjHihauRZvXf8W3rjuDZzuPo2K9gpUdFSg2dxMOk2DbWi3tPP1VQLpsHbgB5/8AABgUpqQq89FljaLdNjket5dTyfXQS1VBy2IKRaJ8d153+U7/5yrHucOxLnm7WrcFZNwGg2GYaCVa6GVa1FgLIjoPZzY4kRUbW8tvv33b+M0IiuBIOTxVY9jTeGaiETQeGIymZCVFb5gZbB4TKfTyQ8EDA4OQiaTwWKxhBVO3HsAQCqVwmKxwGazwW63+13n3DIAXP2XqzH3+bmo661DXV8d6vvqfdPeupDXMcdDTz2EIlMRik3FKDKSKTefrcuO2DJiF9nRW9SLNmMbGpY0oPa2WtT11aG2txZnBs6EHUXP0mah0FiIIlMRCg3DU2MhioxFSFYl868bHBxEbW0tampqUF1djdraWths4X8jKpUKJSUlfGe9pKQESqUSMrEM/7HwP7CqYFVExynEoDDwosntdqOxsZEXN1VVVRElj5FIJCgoKOD3acqUKUhKSuLvWyaTCcuWLfPLojs0NISamhr+c4SNKx8CADt27PD7LLVajalTp/JCihNWxcXFUChGDopyn8MJJE4kVVVVYSjY0PUwRqPRTxxx33mozxlzxnvQMoRwMylNWJW/Cn89/tdRY+9C0TrYik9rPoVKqop4oCAQh9uBDktH2Ne9fuz1mAYaf7jwhwkTTqMhUUiQMj0FKdNTRvzP4/Sgv7HfX1QNC6u+hj4MnBlA487GMd/HaPj0U2DbNiKSLGHGn6RSoKQEmDIFyM72iaLxEknBGPcYp3MNZ457CA/FZHHKWpKF730V2ubIsiyfBCCYuBpoGcDAmQF4nP5VkcUyMclbn6ODPkcPa5cVdf+KPUWs0OKUnw/EaoQ5cwbIygJcrvCCqK0NCJfh2mgcKYACl9PTgVifR3a7PSG1gJYsWYKvvvoq7u1MFDxeD58IYtAxyE+F63qtvahvqkf/QD/xC4fXb+qBZ+R6ePlRfi45hFgkRkpyCrRa7QiBxS1zSSECG5cgQilR8tM0TRoKjSTg2uPxoLW1FbW1taitrcXZs8HrjwTCMAyysrJQUlKCkpISZGRk8J05i9OC3+6LzQ/8ljm3+D3ke3p6UFNTg5qaGjQ2NsLjCVL9PAjJyckoLi5GcXEx8vLyIJUSl4vHHnssIRanBx98MOpEOsJ0t+FiMzkX02ADAXK5nE9UEw8sy6LL1oW63gBB1VeHut66sJYVmViGAkOBn5gqNBbC7DCjttcnjOp669BhHb3zJRfLUWgs5MUQL5KMhSgwFEApje0e5PV6cfbsWVRXV/NiipvW19eHzPTGMAxycnL8OvbcNDc3N6hbOsuy6O7u9rP+cPO1tbVhP0sojrjfVUFBAX/txgvLsujs7AwqqOrr60P+tkQiEQoKCjBt2jTk5OSgubkZlZWVaGxsDGntk0qlKCoqGvH9TZ06FcnJybF7WIyFyJngXbYBxwD2tezDnqY92NuyF9U91Wi3RJY9kaPIWISpyVNRYCjgrfXCZBxamZaPaRLGN3HzIkYUdADP5XFhyD2E0j+Whi0iHYwfLvwhXrryJQDA268N4m/PxeZBsno1sPG3WRF7Inm9xCLT3U36WNxUON/dDVjMHiicZshDHJtCCRj0gMFAmn54Klyn1QLiYZOKscAIbSZJ0HTvvcALL8R0uHj5ZeAHZHwWDoe/tSnQ+hTMGhVKbKlUoYVVqOVQfcvzKjnEuYb7cl77xmtQSaM3YyZNTcJlv78srn1gvaSGUTBxlai6Rlf/6WpoM8gFH49wmj7d98MMh8kEzJ1LRgmCCaOMjLEfIXANufBEZni3sXCIIIJWpSUWwVw9dLk6fp5rSlPsRSY/uOUD1H4WW1xQyowU3LnnzpjeK8ThcODAgQN8SvKvvvrKL3V/MEQiEQwGQ0Sjz/n5+Xwq8lWrVkVVNDJSOFdITkgJW0tL6CxgarUaxcXFfIdP2FJTU0c9r2azmRdHXMeWa6O5YqalpfHiSNiKiopC1vHYvHkzNm/eHPkXEoIHHngAixcvjns7Exmby4aGvoYRoqqivQKtg1Fm/BtmSdaSEeKoyFiEDG3GObcsut1uNDU1jbj2qqur0dTUFNLdTaFQ8AKnsLAQHR0dvEAa7XpNT0/3E0XcfFFRUcyDU17Wi9Pdp9E60MrHkHDN5rLxnVunx8kH8nNTt9cNL+sFAwZKRglPrwdOsxNiRswnrQiES2gRCpZloU5WQ5em45MehMoiys1zywzD4PFVj48ehzXe1qFzQQRdyCHXEJ8cQpjgo8vahV57L4Zcwxn1hjPrcdn1uHnOFXosYMDwmVy5JpfI+Yx6GpkGaimZri1ai5tm3QSAiIhYs5H/8IfAz38+UviEEkW9vUQ8+e03Q/pcyclASgpp3Hyodao4PPc2bwZ2747tvTfeCKxYEftn2+2hXfx6ekZ+N6Oh0QQXVjLZAHJzqXAKSiKz6gmZyF9jPMJp9WoSsHf2LNDZGf4ClUiIxUgomgJbRga5YMfimeK2u/Gk8smY3z9zw0xkL80mYlbQgmXdkqqkfsLKkGfwE1a6bF3IBB3vXPsOqrZUxbSPqbNT8cPjP4z6fS6XC4cPH+aL4O7bt29UFxWO/Px8XHbZZVi7di1WrVoFvV6PEydO4N///jf+/e9/Y8+ePWEFFwAUFxf7Can09PSojyEahoaG0NDQEFRUjdbR1Ol0fkJKLpf7iaPRCgdnZWWFFEex1p45H2qaTGT+ePiPvDtqNMjFcth/GVndnXhhvSwsHRYMtAzAbiZF0h0DDj5DotvhJlO72zc/PGU9LBgVg25XN3odvRBJRRBLxWBEjC9NNcdwymrfB/s+3+PywOPyQCPWIE2ZBvEQuXeJZWKI5aRJ5BL/qUICiUICuVYOuY40TYYG+hx90HvfgTMHsK1+G3qHetFv70efvQ8Wp4XPbubwOPiMmw63w5cVcNhq4GW9mJEyAyalCXKJHFKRlM+kJix5wGX+EzGiUZswI2ioqVQs5dNVy8QyyMVyvpyCTq6DSWmCQWEY4abLsixsLhtJuz6cZp1Pw84t28mUW2d1+p4zDMNAL9cjSZWEJOVwU/mmnCWGW2dQGCAWiWF32/lthppy8Z49th6/xCAMw8CoMPqlWU9SJfEp2IXznAVImExozGKfRQCkw00Mch0Ha4BfEXq+AYAHgHe4Bc5HiPDeGY9wigaRCCgqAmbMIAPZXJs6lYQrnI9MxGcatTiNAhVO0cG56gGA203EE+eaF9g4t73OzvDblclGWqWCue0ZDNEJrHiF06VPXYoVD40cGnHb3Rg4MzBCUAmbeyigiKQwti2gcUV6YyFS4eR2u3H06FHeorRnzx5YI4zunDt3LtauXYu1a9eiqKho1BudzWbDnj178O9//xvbt2+H2Tx6NiuOadOmYfXq1Vi1ahUuueQSJCcnh38TSEKMyq5K9Nv7/VwPLU4LGaEeTnkebOphibsh42Hg7nVjqHMIXqeXjFiPMjrNuSIGi20RiUXQZ+hhzDBCqpDyI9LAyNFrburxeiBiRCg0FuLeJaM/fSfiQ2as4OKpokUqlYa0gvzf0f/Dxn9ujHqbcokcXT8NLpK9Xi8s4Zz1Q6DVavlz+vX7X+Pg8wdx9tDZEemhw7Ho7kUo/X+lSJ6WPCbZtLxuL/oa+lD37zp8/uDncNmi8IZgAFORCfO/Px9lPy3jj/d4x3G8efxN3q0q0NUqaI2pAEHENYZhRtSTE/7WOLElTMXOpaDmSh+YHWZ0WjvxddfXONV1KqrvRy6WQyfXQa8gsaBTkqbgx8t+jIWZC6PajhC72x5aZA0vv3PynaCxfpzlZMgdfDBsdupsXJR7kU8UCQRQoPiKlQup9Ek8wumOO4CNG0daloLNd3eHHrBWKoNbl4ItJyeTUIk4k0knhIn4TKPCaRSocIoOoXCKFKcT6OgILay41hNBsXKlMry4yswkfrnA2AmncLAsC1u3bYSYGmj2ia1EZeUKJZy8Xi8qKip4obR7926/4OpQiMViTJkyxS/NeaLo7OxER0f4YF0AmD17Nm+Nuvjii4O6rzncDnx4+kNU9VTxhUD77f2wu+2kU+Rx8J0jh8fBiyWP18N3oORiOWanzYZKquLdfLgpF6fFCalwI9YiRhR2xFosGhnTJewsch0WvUIftF7MRHzIjBUsy6KrqwuNjY1oamoKOg0lWJKSklBQUICCggLk5+f7TfPy8qJyL+PifxoaGtDQ0IDGxka/aVNTU1ArK8MwyMjIQH5+PvLy8vym+fn5yM3NDbofbrubd9e2m+1wDDj4Gl1+Fqfhqcfp4ZdFEhFUKSpi/ZETC5BYLuaTDQVanVgPC7fDTT5j+HPs/XY4B52+WmA2F2w9Nt51XGFQQJmkhCpZxTdlkhKqJBUUBgUpmjpscVIlqaDL1kFhVIy4djlriIf1wNZvQ//ZftgGbLBb7BgaHILT4YTL4YLL6YLb5YbT6YTH6YHTRaZut5uky2dYiGQivollYoAhAxX8FGQqgoj/XYtYMs96WXhdXrBOFl6nl9Q9Y4krslQqhVwqh0w6XBpCKodMLoNCpoBcQWL3jHojtEYtFAaSUZcrjhx4DfX09KCxsTFkvFgoTCYT8vPzfdkmBax/b31MrqffnffdEbWIAKC/vx8NDQ1RD1jo9Xrk5+dDJfD/upCE00svEfETC/feC/zud5G91usF+vr8BVVXF4vOLi86O4dd17oYdHUz6B4WW2434G9qJkgkxNsnlDtf4LzJNDZCayI+06hwGoWxEk4TjbE4refDTXFoiEWSPjZ/aLUa6OgSBS06y7KkZkBfX/DW2xv6f2YzufkxrBdSsRd6A2A0AEYTmRqMw8tG33ywKRfUyDAM7wbj8XhwuOIwPvv3Z9izew96eiNQo8Pkl+Rj4UULcckllyAvLQ9JqiQoJbHHbQlxe93ot/ej29qNw8cOY9+ufTi2/xhs1siy6onFYsyZMwdrLl2Dyy+9HElGX0WSFw++iK+7viajziDuSMFcdgLng4qeYcEEgN8W18niRq0Di4c6PU7Y3XbeB58rsHmw9eCotWO4Qo3cKLtWrvUrMKyT67AkawnuLL0TBoUBALBnD7By5eSOk4jmHsCyLHp7e0OKqqamJvT39wd9b3p6Oi+kOFGVl5cHi8XCCyJOHDU2Nga1zopEImRnZ48QRdw0JycnaGc3FLfeeiuqqmJz2RWyYsWKiH63XLp57jvnyie4XW647W7YB+yw9lnhGfJAMpx0l6s7J5VKIZFI/OalUikkKgkUOgW0yVroU/TQG/XQ6/XIzMzErFmz/BKD7P/9fpx48wR663rhMId37+UQSURY/ZvVKFlXAk2GJq740lDfy1DvEAbPDqLqoyrsfHQnqXEWIVyh6aX3L8XcW+f6/c/tdqO1tRX19fVBW3d3d9Btckk4ioqKRrTCwsKI055zCUfq6uqCtlBxbmKxGLm5uXzZgMBmNBpHnIOJVqYkUUR6jxpyDaHd0o4Oawc6LB3osnX5Cks7LbA6rbC4BPPcepeVd03lnjncVMyIoZAo/J5NAPzcTDkXUc76KvR4CPR24Ky03MAdl5RJLpbzMV7PrHkGM1NnJv6LHIYKp/MMn3AyA4jeQXTLFqC0lMT9cB1j4XzgsnCeyzIrFhMXNKNxuLMcYj7Ysk5HRg3Gg/NBONntsSegkEhI0GYoMRSYQt1oJNY8zgRuMvmfq2BNqx1bU7nH60G/vR+9Q73oHepFn72Pnw+1rm+ILLu8LsjFct6NI9CXnZuXS+T8ezhXkkC3Ek5AcDEAnN+8sAVdpyTrRhNwLMtiqGfIZ8nrtGBocAhDg0OwW+1w2938iDU/eu0k6zxuD2Q6GRTJZJSckTEQyUSQyCVgJIy/r7wA3hI1/AcvGbnnCsx6HB64bW7Ye+yw99khhpiMVMtkkEllkMllfvEhUpUUcp0cMq0MSpOSd+HUpGv4IHUAeOwxINakeg8+CNx11+j3p2D3q/5+bsSS/JYiuS8FW1aro49jZB5LwD1mCOT23g9gECSOIR5kAAzDTQcSYxEH7KO+e978+fNx9OjR+DYI4Lnnngtb0F0omriC3VydLqfTCafTCYvFgv7+fuzYsSNkchWueLdUKuWnarUaOp0Oer2en2ZkZODyyy/HypUr/X7LHqcH5mYz+hv7MXBmAPZ+YmGzm8lv1+PwhIznEklEUKeqoUxW8vFVnKUNzEjrGlgSv+UacsHeT7bPelh43V64bD7rmtPqhLXTCku7BR6nB6oklZ91TaqSQiwXk9+t3hfPJdfJoUnTkPqN2TrI1LKoz93g4CAaGhqCiqqGhgY4Q9TuMJlMIwRVUlISmpqa/ITRaNYkk8nkJ4aE9dVycnKizpB4PvQREgXLstjesB3b67fjZNdJfN35NRr7G6Mq+DsjZQbKssswN30usnXZSFWn8oNpGpkGWrkWMnH011Qk+855aHCDgMLEHDNTZvJ1zsJtp9/eTxJ+2LrQY+vhhaDVaQ0+HZ53eV1+ItHLev0Eo5BggpH7fBas32Cn0FVemG2Rm8rEMsglcl4oysVy/Hbtb8E6WCqcQhGvcNJoiOUhkizDCgXpWBcWAgUFvmlOjq+TzVUtPh84H26K8QgnqRT4zW9GCibhcn//SH9jvT64cBpt2WQaexEVDSzLwuqy8iJoxf+tCFszJxg/XvZjfH/+9/mA6UC3s3gZ6hvCtp9uQ3dlN8zNZgyeHYx4ZNhQYMClT10KQ74BmnQN5Do5pErSIYr12mZZlrgQDbnhGHTA2mHFYNsg9j27D817Iy+epkpWQZupRfK0ZKx5Zg0M+QYA8QknnY5cX2Zz+MRXYjGQm+u7T3H3qrS0kcL/fBtUjleMCYVOokmUcKqpqQkrnIRwqeQZhgk5L5wKRVI8z4Hvfve7ESWSGQ2RSBQyC2UgIyxsLi+8Q6SJPWKI3CKI3WQq8vqOVywW89Y1sUQMiVICqVoKqUYKmVYGtVENY7oRpjQTDCYDDAYDUlNTIZP5d3LjHgjwgoj/vuEWb64SBqTbYwQZCEhAllvh7+N86CMkivK2cqz+8+pRvQxG48qSK/HCFS8gT58X8/f214q/4vmDz4/6Gg/rwdnByMp2BPLrS37Nu3e6vW7sb9mPY+3HcKz9GI62H8WprlNweCL7PTNgMD1lOpZkLcH05OnI0GYgRZUCrZyIRGFTSBRxZy31sl64vW443A5eJHJJaIbcQ7xYHHIN4RtF34DT5qTCKRTxCqfPPyeZ5gYHR47chhrRDVwvHEBiGNLBCWWhCBzJDfzfubQ+nQ83Rbs99kwzajU5P6Ph9QIDA8GFVW8vi55eNuC8M+gPsDhyQ6JCy2M4kRV47oXeQAkZpZ/gcA9nr8cLr8unXD0uDx+f4Rh0wGVxweMKiAVxDi8Px4V4nB6STljE8BmXxHIxqakx/FUKR65ZLwvWw8JpdfIxIQ6zA0O9Q7B2WeEYcMBpccJpcfIiTqKQQGlSjmxJSmjSNNCk+5o6Ve2XgYwRM3x9j3iE069/DTz8MLlmzebw96dQFijhINFo1vJw97CxHiRiWRK34nUPJwjwsgALKP4nviKl9vvt5FphAEZEzg0jZhJyPzwf7qmJRK1WR1TgdzSys7Px3nvvhX1doIUtsKDz4OAgWltbUVdXh7///e+jpmYPhkgk4q1rBoMBM2bMwE9+8hPMnz8/1kMLy0QeBAAuvOvZy3pR11uHw2cP40jbEVR0VODs4Fm0W9rROxS+ZAdAimXPTZ+LLG0W0tRppKC7TOvnyq2QKPxiZgOTpnDfO5cghbPauDwutFnacOVbV8Z0fJsu24T7lt4HAPis5jPcuPnGmOpfAcB/LPgP/HLlL5Gti70syTN7n8EnNZ+M+poh91DUdcMAwGv34uwvzlLhFAxOOD3zjBlKZfQ97OuuIxYjIJ6bhBJkyIdrhuGpDs89F12FMa02eEclFjeZcJyPN0WP14PG/kY0m5v90rFanBbeLB1YP0JYQ8LutsPDekjtEKnSv9aDWA6JyKdcuVoi3A2NGzEJ5mMMhM64FpgZiqvCfvWUq/Hzi34+pt8XMLEfziffPYm/3/T3mN+vTlXDbrbzbj+qZBXUqWqoUlRQp6ihSiVTfl2qml+W6+URx5H8WvTrmPfxol9ehNWPrwYAlJeTFgsLFhC3Yo7Yf79ajLxXGfDaa69HtRWRyGedDeW+auuxoXlPM9or2mHvI2m5ufTc9n47SZbg9ARtSVOSkLkgE8pkksRAppbxrlycMGZEjF/zE8den9jyur1EcA+7i7mH3LCb7bB122A5a0Hjzka4hlwkVXeQJtfKIdfLodAryNSggCZDg5yyHGQuzOTdMc/He2o8JEI4paWl4X/+53+iek8wS9polja5XO7njihsUqkUGo0GGo3mnMf0TOR7M4DzzxwdDVH+rpweJ3psPbC6rHyx+VDN6rLyafcDkxkFi3sSurMJY3O5aWDSIqHQkokESYqGY5ykIqlf/0YpIfOlGaV88XnAJxSPth/F0bajONV9Ch2WDj6mK1RGRyE5uhxMS56GDG0GkpXJvEuiRqbhXRRlYllQgchNAf/4LWGR4yNnj+DBzx+M6lwBINbcp0GFUzCiCQALx4X20DsfjpdlWbxW/hp2Nu7Eqa5TqOqp8qtTEQ6JSII7592JBRkLMDttNrK0WUhRp0SVNMHlcWFX065YDyEo3I1SJpZBI9NgafbSuLbH121xekh2KUHHUfvH2OoNcQzcNUBu4MMdU5FYxNeCEUlGL0gZjniF03+e+k8kT0uG0+KErcsGa6cV1i4rrJ1Wflm4npv3OD0QSUVEXKWMFFdCkaVKUeGFKTGWWIe/cEokEzEgNxC3w4228ja0H2snsS8C4cRnmXP6rluhcFIlq5AyIwVyA8nsJlFIfDWIZGK/2DEORsTw1ik/4eTx+sXZuO1u2PvtGOoewmDbILoru4nrllLqL5rkYsjUMsg0MkjVUsg0Msj1ct7KmDw9GamzfAWWz4d7aiK5kI63tbUVCxfGnpqcIy8vD+vWrYvotSGTf7hJhkKr1Yr+/n5UVlbC6XSSRENiMaRSqZ87prDJZDKo1WpotVpotVrodDpotVoUFhZiyZIlSElJ8e1Aos/vBD23HJM1GQZHtL8tu9vOxzIJE2BwcU3cvM1lCykGQ06HB7ADhSIAX022AJHFJWQKFIlSsRRKiRJyiS8hhtvmxrrZ6yLSBuOUZoByrpmoP/BE7Jfwx80wDDI0GcjUZqLf3o9+ez+azE0Rb8vtdaPN0oZ2SztS1akQM2J4WA+0Mi3UMnVEAsrDetDQ1xD2s54/+DxOdJ6IeN84ZqfOxvEfHief5fKg9rNaEmjdOoDB1kHYum3EdWzQCafV6eeixnc63V7INDIUX14MbZYWqhQVFHoFJEoJjpcc5zudIolo5Cg9MKKzyXpZ/nPqt9XDbXfDaXXC1m2DrcuGtiNtaCtvA4CgI/QShQQyLelwKvQKaDI10GXpoM3SIndFLpJKSFY9pUmJzEWZUX9nHBKFBAzDEIuAVg5jYfhYCZZl4Rx0BhVZ1i4ruk51wdpphb3fJ9Dj2Udd1nla1TAB/On1P+HAgQMj/yEHkBrhRixAYWoh5CI54AZpIcL1vF4vL5ZYJwvWQRJ+eOweeIY8cFiJ+yfcgMgjIgMBKhFEi4dHdOViiBViiJUkDkaikkCqlEKhU0Bj1ECXpIPKqIJYI4bSpERKforf/ePSS1mciP4WAADYsYMUxSTHAVgsxIW8qopMucatD7Yc+D+3G1CpiBVQqyUxvcHmw/1PLp/cxodI8Hq9aG+P3mUoEK1WG1EHNlA0hcp4xzAMX4w7UDiFahqNZoRwSkpKgkajifv4RmUiXETnWLxN1IEAYOL2I8811OIUB+fT6Nn5MNo8VlicFpwdPEuqpdtI1XRu1EPYAtdZnVY/UzmX6lPoqidMZc3BMAw/+sERzEWvbbANdrfdb2QkMAsMZ1LnKtfLxXIUGAp4lz2WZdF+rB3mJpIoYaB1ALauIMIpSGM9LNLnpZMsVUlKyHVyfnReLAuI+RGKJ4YZIZpYL8lU5ba7+ea0EquOrcuG7tPdcNlcpHMpl/iJJqmKjMzLNDISfK2RQZ2qhiZdA20mEU7CbFUX8rUcD+fD9/ad73wHb7/9dtzbuf/++5GWlhb2dVz8C/fdcJnmuFF6u90Os9mMw4cPo7a2lnfrEqbj5ppwWS6XQ6vV8h1OjUYDk8mEFStWYPXq1XyK7vnzgVhzQyxYAFitpCZeuHJtcrmv/h1XAy+wFl56OnHzFmQPTzjn0zMzXjo7O7F+/fq4t1NWVoann346AXt0DpiMHetRrq8L6XoGJq9wYlmWpiMfjdG+HLfXzWcVM9vNfrEvXMxL4LLdbYfb6+ZTKQqnXJBesHUsWL62DAd3Krj4GC5ehjNDBrbAoppamRb3LgleynoyXvCjXbqT8Xg5hMd95swZPPHEE3FvU6VSISkpKej/WJblkyhw6X1ZLwvWzQJOMlLPjdC7h9xgHSwYN0May/hiv8TDI/SC0XmJiqTmlqlJpipdkg76ZD0/upmTkzMyU9V5IAASyWS+lgH/7//+++/H1q1b497mZ599huLi4ri3M9bEI5wqKoA5c0i/zm73txwFsyaNtp5bZ7EQ65VSGdq6FM16jcY/Ich//RcQZS1Ynt/8JvJkSE5n8GMfGBh53IFZUjkYhsQKa7Uk4ZDw+AKXQ5XuutA61tRVL34m8vmdzMdLhdMocF/OXw78Bc32ZlR2V6KyuxJ1vXURp5U0KAyYnzEfc9PmIt+QjxRVCgwKA9QyNVRSlV+Ti+W8EBImDRgt1SInroTWDpfXBZfHBafHCZfXxadYtLvtfHN73bh66tVBt0k7m+c/wb7ziooKzJs3L+5tL126FHfccUdE+xCuFkx3dzfq6+vx+eefw80VBAL4kfpgI/RcLRhOMHEj9TNnzsTNN9+M9PR0AEB9PVBUNPnObSCB7qdjuf2JxIV0rADp4Me6e1KpT5Qk/nuTwW6PL204QPrRUqmvP61WC7OLRsfTT5P3BoqfYIJIIiFWtKSk0QXPaKJIrY7f+nahXc+T0uIUiPD7n8zHG+Q6m8zXczTC6YKNcXq1/FXUWGrQYe2I+r3rp6/H1VOvRml6KbJ0WTHlm3981+Oo6hm9Ynxtby0Oth6MetsAUPujWr9sKJT4mCg/7hGwgDLWwlUCiguL8a3rvgWRJPZaMMEyVXHN6/TyReuihRH7btaHDgE+81d0LFsG3H67/+i6sAnXWa1kFFksBmQy3+g516JdVqkmTs0uysRBlvjalgnCGdKKMl7k5JAaiqEEU+B8ayvQ0kJ+f0JxFMl8sP9FG7fV1wf853/Gdq9KSiLlBEbD6yVC0mr13bOCTYXzQ0Mj+8NyORGJGk34KTcf1PJXXQ3cf39Mx+sHwwRvItHIdWIxUeZck0j8l2UycvMV3oy5ptONrV9qLEzUfgYAMEyMT97w250QmCMznAAXsHD65DufQKfToXeoF5Vdlajrq+NTVffYejDgHBiRmpprW6q34J2v34HNRYbOklXJ0Mv1UMvUUEuJ1YmzPvGZPoZd7oQZP1LVJNpZmIZamIZSxIhCVqEWxsRwsS9yiZyPhxmLatOUiUcak4afDf0s5vebik0AAwz9cwgvv/My5Do5lEkknbMqSQVVsgrKJGXQdaokMpXIw99GXpj9Anqqe2LaxxnrZ+CG92+I6b1CxGLy0Pd6SWNZ37zXS+oVCectFl8No4GB4KIoknnhslpNBdRobNrEYu/e2N77wANEHAfidJKOo9Xq62hGs+x2+9y2VCoy5VqkywrFxOkfjCc/+1nsrno33hh93UK32981MZTQ6u8nbTSk0siEFyeGLRbgpZdiOVJyzdTXjy6IhJY7rZYUq05PJ1Nhy80NLYbU6gSK9+ZmIMo08X7MmgUIM/RxeL3kRAqbx+ObdzhIpzdcoF8gDEMUakoKkJpKphkZvurfhYXAlCmh/TDHgolwkziX4m0iCcUorp8LVjiRIrgJQAR0Mp3oFHWSQHphE42yDPjFjfDTwOYVzHuGl72Ae/gPAAYxOGK3sn8gKDI2FiMFE+EHzhH447vQjjcO1jy7BtO/OR0AScFs77PD1mODrduGoZ4hkhVveLm/oX/EuqHeIUiVUj8xxc8Lpk6LM8yeREZpKbBpU2zvnToVuPxy33J0bgcKABqQmkaaoPObNr3Aj/CGSqbFdcBHE1uB4mpSj/IFXMsHDgCbN8e2qc5O0nnt6iKtu9snfAIRi0k/ieszcf2m1FTSZxIup6aS7Y7VVzZR3YoTnfEUAB55JO5NApjcLkMA6c+/+GJ4C1KodadPA4cPk3mn4NbLDR4FsyJFu04mS/Bv4vHHSaHMWPF4SOeXU8E9PUBTE1BXB3zxBXDwoP/9hmXJTaK7G6isDL5NmQyYN4+MyNx6K8nIMpZMoGvwnDAR7n0xfOcXbIzTWDBhv8qxuDgn6rECE+PHOBYE+c4H2wZx6KVDMW9y9rdnI2VGkFG+SHfJy8Ix4PAXU8Piyt5vT8hvInVmKmbdNCvu7QRy3sT9XUAB1z//OfDZZ7G999lngbVrfctut8+CFGhJCmVhCrXO7SYJE4TWpFBWptHWq1QjrU8TVTjFw1g/C88H4eTxEHe9WBCJAJPJt5y44xWBDPRI0dXVHdeWpNIAt73PPwe+8Y3YN/iPf8QnnMLR0QHccQfwz3/G9n6GAV59Ffje9/zXTWbGOp5rAj2LaIwTZeyZCDeMC9WkLECbocWlT1wa+waCJOSLpgPBiBgoDAooDAri9kehxMFTT5EWL+dDx3qsOF/2MxgerwdD7iHY3XY43A4y9ThGLI8FLx58kU/cJGxC93oxI+az2grLRqSoUjA9Zbrf9sRiIDl5THY1DrwAiEvSxNu3McLpBHbvBj7+GPjqq9i3s3YtcKngWbt5c3Df4FjgYraE88GWRSKiVMXi4FOJhIzMKBRkpEc41WpJvQG9njSDgZg2x9KcHslxn4dQ4USJjYn6cA6VWzZeJtoPfKJ+/+eYIdcQzgycQZ+9D4OOQQw4BjDoHOQ7Wg4PyT7JzQunN//9Zri9xI+L6wQJ0/tLRBK/+lyAoIgkSIp1YQf9kR0+PyRhzS4uhjHU1MuS7ITfLf0uZqfN9j/Asbie6bU8cRirgOsJyqmuUzhy9gga+xvR0N+Axv5GtFvaYXaYYbabYXWFqFQ8TLYuGxflXoT7PrsPKaoUpKhToJPr+Np6whp7UrE0qBDqG+rjEzoF+z1yccbC7LZurxsurwturxtOjxNWl5XPbOv0OJGmSUOqOhUiRgSjMnxRbUoQamq47D8+uEDUwBgnYXM4fO55/f3EzCd01Wtu9gWrRoJCQfx1CwpIvv/Fi4GlS0n8k5D2dmD//tiP95NPgKKikeuFAbcej69xy8KgTaGPptlM/JVrakiNg97eyI83PZ20oiLi0z5nDrBqFRFVHPfcA7zwQuzHu3HjyGcPy5IW7Di5eYcjuEuA2Rw6MFEkIkJRryfHwE2Tk33Bf+npJI6tpISsHxwkr4uAC1Y4mQHEV/42CBOlQ3Ihd0ScccbSzJkTfBRJmEkgMIsAd2O320naIpvNN7XZyI18aIhsRyIhwaZc4zL+CAugcD9wrqWnA/n5QF4eGT0ScPIkYDDEdr7nzSP37kC3pB07grs1hWoOh/+lLxKFdl/imjA4OZSbU7BA8L6hPvznp/+Jmp4aNJub0WXriuqYTUoTHl/1OErTS5GkSkKSMgkGhSGqjH/HO47j05pPR30Ny7LwsJE/rFmWxT9O/wMfVX2EFbkrcEn+JeQfjz8e8TaCsnx58Ohv4fUcOM89yJxOX3M4yDpuxFN4DQsbV/hGGLRlMJDrOCmJTHNyyHyI++VEdV1L1H6NuUVoInx/IY6xsqsSxzuOo6G/gbS+BvTZI/dnm5s2F/PS5yFVnYpUdSpSVClQy9RQSpRQSBRQSpUjipMH8oeqP4T9nL+d+BsOnz0c8X5xZGoz0fpAK798IVs+o+bBB2N/rzC7XmBmvenTgwdrmUy+YEauZWSQ5+25+A0VFBCRMhawLMlyeNVVQG3t6K+124HGRtKEFjmplAjZuXMTs0+//33iv1eHg6TPPHqUxLA99xw5Hq+XCKtIM+VlZgJr1kT8sRescJqUnMsb6kR4OAtJ1LF/4xvAb3+bmG0JsdmAhgbg+HHgvfeADz+MfhsMQzIP/ehHvJ+1xxM+G1Qojh8Hvv/90IKIG8zivlq93hcsn5pKBm1SU8nzJxJxlIiU3EalEX++7s9oHWhFk7kJzeZmtJhb0G/vx4BjAAPOAQw6BnmrEufaI7Q0Pb77cejleujkOpiUJugVejJSLVZALpHzo9ZSUfARaxEjglLiE7BCqxFX7NrldeHRnY/67TtXy00ikvBuP0J3Hy5Tpl6u9wmnePngA3KSEgGXoqynh8QLnDoFnDgBvPFG9Bmt1GqSseqii4CHH74g/IYmbYc3GMLng+C4r59xPa6fcb3fS10eF29xMjvMGHIN8e55XON+y9zvuaGvATU9NXxRee43KGyB1mIOrpaiEOG5YcGiLLsMK3JW8K56XHZczk2PWycTy/jfr0wsg06e8OHY84eVK8l9IU5q6+ux5eOPseXjj9F69qxfjizOQivMl+UGwAazZDidUEkkuOKii7B+/XqsXLkSkmjTMk4EAi1QnMUpMCuI2Uy+/9ZW4MgRInoslsg/RybztzhdfjmZTkTcbt/xnjlDrGw1NURIRYtW68ukGCHn4VU0QZnID8W8PGKyjgXOfBCI0Lzqdsd2/CqVzzTBTTUaMhotbNwodW4ukJ1NTMvnmnAWJ4+HWJWEliZuvreXZO6pqyNqpaIi8s+VycgIGOc6sHixX2o4oxG4887YDik/P3yWK5YlAzijCSuu9fT4LwemHWYYX4D9aBanYP8TltuQS+JPD9uOIGnvArNiChv3fxFGprkTLnsFywHZMb3Dfy6Mno/5XvbeKI5kjBjuePDXMXctc8KpvZ0Ip8pKcrKjITmZ3JOmTiWjwVrt2ByDgAkrWkpLyWhpLOTnAz/5ycj1nNUwMN8+Z1H0eMiP0+Hwb3Y7cVfp6SGtq4tMuXo4Mhn5ASuV5H7NTTmXGL2e3JA4N5iiInJ+hQQZcJMCSB5uMTFRz21vL9i77or9/dxzkYP77h5+eOQ5Fi5z55iLiQlsgbWPOCuNXD4yNkap9OVZ1+nIzTnU6JdMFvMgTWVlJd5//31s3rwZJ06ciOg9eXl5yMnKwr59+0Z93csvv4yXX34ZKSkp+Na3voX169fjkksuiV9EiUTx5XIvK/OrTcVycUzc+ROe12AxToJ5dnjKSKVguPO3fLnvXCoUPpc1Lr5JryejnpyVzWAY2wHxb34zuKteKJfEQFc9YYcj0LNIKiXHmJzsf7xCNz2hq15qqu8elZpK9mtgAHjssYgOZUJk1XvxxRfx3//932hvb8fcuXPx/PPPY/HixSFf//777+Phhx9GY2MjSkpK8Mwzz+CKK66I6LP4zBkYA1e9iYTwtObnxy6crrwS2Lo1/OuEFzvne2y1kouRq7HAmU47OkhlwooKMioSjf8xAGRlEfNxaSmwejXxxeV+kA4HWY4HwY3M4XDAIfyRCoM2h5fZ4RsaKxaTZW5eJAI7/KDSmExQ6PUjXZuUypGuTUJXPbX6nFn3zhe3konqyhUvQb+r558n7gexkpbG+zyyDAOH0wmvwD2PET6cvV4w3D5wsVXCa3l4KpbJINPpwAivY5mMTIPlWRe66iUlBR+I4ZjkmZtGMH9+7MJp6dL4YiwC4dI5C4XTK68Qf95oUatJ7MAVVwBPPOEf6J5oJur5bWkhg32x8tRTwEMPxfZelvXF/3DutnY7Ob+9vcR9vLmZ1HZobIx8u1zGi7Q0oLgYuOsu4LLLYtrFr7/+mhdLX3/9dUTvMZlMuPHGG3HzzTejrKwMIpEITU1NePvtt/Hmm2/i5MmTEW0nOTkZ3/zmN7F+/XqsWrUKUqk0pmOIB7PZjP3792PPnj3Yu3cvDh48CLvdHtc25XI5Fi9ejIsuuggrVqxAWVlZ4rJIt7SQe0KMsCyLs21tqKioQMXx4zhVWQnn8OiqcIyRWwbDkAo8w1MPw/DzXoaBh2GgM5kwv6wMy1aswNKlS2E0xh5fGE1WvXEXTu+++y5uu+02vPLKK1iyZAk2bdqE999/H1VVVUgNMnqxb98+rFy5Ek899RSuuuoqvPXWW3jmmWdQXl6OWbPCpyyOWzhptcD69SPXC0d/hBYJoWXC4fCN3gpjYQYGiJoOjB2QyYhyFnZEuKnJ5LPGpKSQG3R+vn8wH8e5EE6xYjYDf/4zcN99sW9jzRpg27a4doNlWdTX1+PIkSMoLy/nW0/P6EVbs7KyUFRUhJMnT6I3TDBmTk4OFixYgPnz52P+/PlYsGAB0tPT49rvRHIhC6fW1tbwLwqBVCpFcnLyhBJ0brcbVVVVOHr0KMrLy3H06FEcO3YM/WH8OouLi+FyudAU5n6RmpqK0tJSlJaWYv78+SgtLUVhYSFE8fpiXkgdawC47Tagqiq292o0wIwZZLCGZWG12WDhXHO45xHgE8fceoYB43aD8XjAuN0QuVxg3G7ynBKJIFUooDIaIZLJfNYmbhpoceIsEsKR7LQ0sm/BmEC/kTGD+67jFU6XX04GBoNtPzA+UTgVWhS5+ES3m8xzFX8HB4mAstt9Vifu/AZanYQWJ+78pqYSV9u8vIj9r1mWxcmTJ3mxVBmqdlIASqUS11xzDW6++WZcdtllkI1i5Tl+/DjefPNNvPXWWzhz5kxE2zeZTLjuuutwww03YPXq1aNuPx7Onj2LvXv38kLp+PHjZBBrFJRKJVasWIFVq1Zh1apVEIvF2LFjB7744gvs3bsX1jDWfoZhMGfOHF5IXXTRRcjMzEzkYYXEbrejvLwc+/btw/79+7Fv3z60hypwKGDmzJlYuXIlVqxYAbPZjN27d2PXrl1oa2sL+97p06ejrKwMZWVlWLZsGaZOnRrxM+m8Ek5LlizBokWL8MJwtg6v14ucnBzce++9eCjIaMuGDRtgtVqxVdCZX7p0KebNm4dXXnkl7OfFLZyKi4kvZaJxOICzZ0m0/6FDsQeF5+SQG+5LL/mi6yeacPJ6ychFRQWp/bBlS2ydB5GIJHJ4+OGoRr28Xi+qq6t5cXTkyBEcPXoU5jCBhDqdDosWLcLixYuxePFiLFq0CFlZWQDIQ6Gurg4HDx7kW3l5ORxhfG4zMjJ4EcUJquzs7Kg64ROpwz4WxHOLYlkWXV1dqK2tDdr6QhRaUavVmDJlCqZOnQq5XI7q6mpUVVWFFMdqtRrFxcVBW2ZmZvyCYhTsdjtOnDiBo0eP8q2ioiLs6GVWVhYWLVrEt4ULF/Ijdp2dnTh8+DAOHjyIQ4cO4dChQ+gKM9qo1Woxb948XkiVlpZi+vTp0Y3m/vrXwPbtkb9eiEQysqMZGGsTyrUpMHOXy0Wm3CAXl+5XGHwuTP0rbJy/KZfwhRvgMhrjEg4sy6K7uxs1NTWoqalBdXU1P62trQ3ZiVIqlZg6dSqmT5+OwsJCdHR0oLKyEpWVlSGvZ4lEgsLCQkyZMgUlJSX8tKSkBNnZ2bFfz2o1GTCMhbVrgZ/+dOT6wPMaOGjp9fosLkK3RLudDNx1dxML29mz5JkU7H7DiQq12icghK5OmZnE9XTpUl+8ntcbdewfy7Lo6elBY2OjrzU1obGxEQ2NjRgYGPAflR+earVaFBUXw2QyoaG5GfWNjXC4XPACftccwzDIyspCYWHhiJafnw/VaNbgGGBZFhUVFdi8eTPef/99VFdXR/V+kUiEpUuXQhulO6/X68XBgwfDPtMDMRqNuPbaa3HDDTdgzZo1MYsolmVRVVXlJ5Tq6+vDvk8ikWDJkiW8UFq8eHHIfXC5XDh06BAvpA4cOABXoH98EAoKCvyE1NSpUxPShzh79iwvkPbt24fy8nI4wyTrEolEKC0txcqVK3mxlBwk3pUb2N61axd2796N3bt3o6GhIew+GY1GLFu2DMuWLUNZWRkWL14MTYhBnfNGODmdTqhUKmzevBnXCQqf3X777ejv78dHH3004j25ubl44IEHsHHjRn7do48+ig8//BAVEcSOxC2cCguBYGblUDEwwmXO4hQYNzAwQG7era1EOB0/HnmQpUJBRn84i9PMmeQBM3++7zXxCKcZM4g5PhDuuNzu4FOXy5cyMtBdr7Mz8iA+lYo8iLKzyTHm5pJzMG8eMHv26G4/ICPvp0+f5gVSeXk5jh075huZjZDs7GxMmTIlqg6D0+nEiRMnQnbOQ5GSkuJnlZo/fz7y8/ND3twmq3CK9NbEsiza2tpCiqPBwcFR388wDHJzczF16lRMnToVU6ZMQWZmZtDvtaenB1VVVaiqqkJ1dTXq6urgdrtH3b5CoUBRUVFQUZWTkwOxMIArDAMDAzh27JifJenUqVPwROHuKpVKMWfOHGQEptcdBZZl0dzcjK+//jrsKKkQuVyO2bNn+1mnZs+eHbqD9p3vAG+/HfH2/TAaI0/BGyksS0bnm5tJcpe//IXUb4mFnBzghhuIC9YoHTKz2RxUHNXU1IS1GAKARqPBtGnT+JaTkxPyvtXd3Y3KykqcPn0ap0+fRmdnZ9jtKxQKFBcXBxVVaWlpo9+P4hFOd9wBvP56bO8FfO5rnICy20lmHaFw+utfR6bEDodeT8TTtGkkjuO220Z9ud1uR2NjI+rr6/nW0NDAz4d7NqWkpKCkpATFxcX8NCUlxe97d7vdaGpqQm1tLWpqavh74RCX3TUE6enpQUVVYWEhMjIyInr+sSyLo0eP8pal2nBZ3QQsW7YMl1xySVT3xEipra3Fli1bYIvw+tPr9bj22muxfv16rF27FnJ56Nhal8uFY8eO8SJp7969YQeaAEAmkyEnJ2dMirG3trZG5PqXnJzMi6gVK1agtLQ07GCXy+XC8ePH/axJ4bwUAHK8SUlJfsvKgEzBkTI4OMg/i7xeLzoi6DOLRCLMmTPHzypVUFAAhmHOH+F09uxZZA0H9y0TpIB+8MEHsWvXLhw4cGDEe2QyGf785z/j29/+Nr/upZdewmOPPRb0i3M4HH6j/mazGbm5uWhZuRK6eIIDg/lsBytaxs1zwXxicfB5YQCuMGZAJiOjllyUPDdvNJLRrkhGiO66Ky7f1JDHNlrjRmSFTSr1jdwqFD53Dy4IlkvNbTKRZjRGnQiC60QfO3YMFRUVOHHiRNiHBUdaWhovWGbNmjXqjTJWLBYLjh8/zou4SEfEjEYj5s6di7lz52LOnDkwCcrKJ8yHWUC0I3XnCo/Hg9bW1hGdjnAPQ26kletspKamjong7Ovr4zspjY2NYQWNVCpFfn4+CgsLUVRUhMLCQuTm5vIPLofDgcrKShw/fhwVFRVoaGiISFCKxWLMnDmTFywZGRlj8nBuaWnhLbbV1dURiSqRSIQpU6Zg3rx5mDNnDkpKSnyB2r//PbBnT2w7JBaT5CmB92SysyMbQAaAGCZ0rRi7nQwECS1NwmKTSqUvqF6Ykl2Y9piL7QpyLxscHERdXR3q6upQW1uLurq6iDpcKpWKFy9FRUUJtxQApPPd3NzMDxKEc0UGhi0fw4ME3DQpKcl37W3YEHvJCLWaDKIFe/aGclvjzjM3mAf4kiRwwfaBiRK457BU6p8Eg3tmCQPOjcYRJSI4hNajhoYG3oLU1tYW9jeclJTEC5asrKwxERI2mw2NjY2oq6tDQ0NDWO8IuVyOvLw8FBQUIC8vD/n5+cjLy+OvPbfbjS+//BIfffRRRNYADoZhsHz5clx//fXIz8+P55DCYrFY8Mknn2Dr1q1RDZ7qdDqsW7cO69at45+3TqcTx44dw/79+3Ho0KGwbnMcYrEYpaWluOiii7Bo0aKYhUM47HY7Dh8+jD179uDIkSMRD66pVCosWrQIZWVlmDdvHm/xstlsKC8vx8GDB3HkyJGIBahcLseCBQtQVlaGBQsWQDFGyb16e3vx1Vdf4csvv0RlZWXEA6+pqalYsmQJZs2ahW984xvo7+8P36dix5HW1lYWALtv3z6/9T/96U/ZxYsXB32PVCpl33rrLb91L774Ipuamhr09Y8++qgw7ow22mijjTbaaKONNtpoo82vtbS0hNUu45qOPDk5GWKxeISlqKOjI2TQfHp6elSv//nPf44HHniAX/Z6vejt7fUfBRtjBgYGkJOTg5aWlrAmQMr5BT23kxt6fic39PxOXui5ndzQ8zu5Odfnl2VZDA4ORpQ8Y1yFk0wmw4IFC7B9+3Y+xsnr9WL79u245557gr5n2bJl2L59u1+M07Zt2/xc/YTI5fIRLlcGgyERux81Op2O/sAnKfTcTm7o+Z3c0PM7eaHndnJDz+/k5lye30jDHsa9AO4DDzyA22+/HQsXLsTixYuxadMmWK1W3Dlc1fO2225DVlYWnnrqKQDAfffdh4svvhi/+93vcOWVV+Kdd97B4cOH8eqrr47nYVAoFAqFQqFQKJRJzLgLpw0bNqCrqwuPPPII2tvbMW/ePPzzn/9EWloaAKC5udkvk0tZWRneeust/PKXv8QvfvELlJSU4MMPP4yohhOFQqFQKBQKhUKhxMK4CycAuOeee0K65u3cuXPEuhtuuAE33HDDGO9V4pDL5Xj00UfHJEsbZXyh53ZyQ8/v5Iae38kLPbeTG3p+JzcT+fyOewFcCoVCoVAoFAqFQpnojF05ewqFQqFQKBQKhUKZJFDhRKFQKBQKhUKhUChhoMKJQqFQKBQKhUKhUMJAhROFQqFQKBQKhUKhhIEKpzHmxRdfRH5+PhQKBZYsWYKDBw+O9y5REsBTTz2FRYsWQavVIjU1Fddddx2qqqrGe7coY8DTTz8NhmH8im5Tzm9aW1txyy23ICkpCUqlErNnz8bhw4fHe7coCcDj8eDhhx9GQUEBlEolioqK8Pjjj4PmwTo/2b17N66++mpkZmaCYRh8+OGHfv9nWRaPPPIIMjIyoFQqsWbNGtTU1IzPzlKiZrTz63K58LOf/QyzZ8+GWq1GZmYmbrvtNpw9e3b8dhhUOI0p7777Lh544AE8+uijKC8vx9y5c3HZZZehs7NzvHeNEie7du3C3Xffja+++grbtm2Dy+XC2rVrYbVax3vXKAnk0KFD+OMf/4g5c+aM965QEkRfXx+WL18OqVSKzz77DKdOncLvfvc7GI3G8d41SgJ45pln8PLLL+OFF15AZWUlnnnmGTz77LN4/vnnx3vXKDFgtVoxd+5cvPjii0H//+yzz+K5557DK6+8ggMHDkCtVuOyyy6D3W4/x3tKiYXRzq/NZkN5eTkefvhhlJeX44MPPkBVVRWuueaacdhTHzQd+RiyZMkSLFq0CC+88AIAwOv1IicnB/feey8eeuihcd47SiLp6upCamoqdu3ahZUrV4737lASgMViwfz58/HSSy/hiSeewLx587Bp06bx3i1KnDz00EP48ssvsWfPnvHeFcoYcNVVVyEtLQ3/+7//y6+7/vrroVQq8be//W0c94wSLwzD4B//+Aeuu+46AMTalJmZiR//+Mf4yU9+AgAwm81IS0vDG2+8gZtuumkc95YSLYHnNxiHDh3C4sWL0dTUhNzc3HO3cwKoxWmMcDqdOHLkCNasWcOvE4lEWLNmDfbv3z+Oe0YZC8xmMwDAZDKN855QEsXdd9+NK6+80u83TDn/2bJlCxYuXIgbbrgBqampKC0txWuvvTbeu0VJEGVlZdi+fTuqq6sBABUVFdi7dy/WrVs3zntGSTQNDQ1ob2/3u0fr9XosWbKE9rMmKWazGQzDwGAwjNs+SMbtkyc53d3d8Hg8SEtL81uflpaG06dPj9NeUcYCr9eLjRs3Yvny5Zg1a9Z47w4lAbzzzjsoLy/HoUOHxntXKAmmvr4eL7/8Mh544AH84he/wKFDh/CjH/0IMpkMt99++3jvHiVOHnroIQwMDGDatGkQi8XweDx48skncfPNN4/3rlESTHt7OwAE7Wdx/6NMHux2O372s5/h29/+NnQ63bjtBxVOFEqc3H333Th58iT27t073rtCSQAtLS247777sG3bNigUivHeHUqC8Xq9WLhwIX7zm98AAEpLS3Hy5Em88sorVDhNAt577z28+eabeOuttzBz5kwcO3YMGzduRGZmJj2/FMp5isvlwo033giWZfHyyy+P675QV70xIjk5GWKxGB0dHX7rOzo6kJ6ePk57RUk099xzD7Zu3YodO3YgOzt7vHeHkgCOHDmCzs5OzJ8/HxKJBBKJBLt27cJzzz0HiUQCj8cz3rtIiYOMjAzMmDHDb9306dPR3Nw8TntESSQ//elP8dBDD+Gmm27C7Nmzceutt+L+++/HU089Nd67RkkwXF+K9rMmN5xoampqwrZt28bV2gRQ4TRmyGQyLFiwANu3b+fXeb1ebN++HcuWLRvHPaMkApZlcc899+Af//gHvvjiCxQUFIz3LlESxKWXXooTJ07g2LFjfFu4cCFuvvlmHDt2DGKxeLx3kRIHy5cvH1E6oLq6Gnl5eeO0R5REYrPZIBL5d23EYjG8Xu847RFlrCgoKEB6erpfP2tgYAAHDhyg/axJAieaampq8PnnnyMpKWm8d4m66o0lDzzwAG6//XYsXLgQixcvxqZNm2C1WnHnnXeO965R4uTuu+/GW2+9hY8++gharZb3p9br9VAqleO8d5R40Gq1I2LV1Go1kpKSaAzbJOD+++9HWVkZfvOb3+DGG2/EwYMH8eqrr+LVV18d712jJICrr74aTz75JHJzczFz5kwcPXoUv//97/Hd7353vHeNEgMWiwW1tbX8ckNDA44dOwaTyYTc3Fxs3LgRTzzxBEpKSlBQUICHH34YmZmZo2Zmo0wcRju/GRkZWL9+PcrLy7F161Z4PB6+r2UymSCTycZnp1nKmPL888+zubm5rEwmYxcvXsx+9dVX471LlAQAIGh7/fXXx3vXKGPAxRdfzN53333jvRuUBPHxxx+zs2bNYuVyOTtt2jT21VdfHe9doiSIgYEB9r777mNzc3NZhULBFhYWsv/1X//FOhyO8d41Sgzs2LEj6LP29ttvZ1mWZb1eL/vwww+zaWlprFwuZy+99FK2qqpqfHeaEjGjnd+GhoaQfa0dO3aM2z7TOk4UCoVCoVAoFAqFEgYa40ShUCgUCoVCoVAoYaDCiUKhUCgUCoVCoVDCQIUThUKhUCgUCoVCoYSBCicKhUKhUCgUCoVCCQMVThQKhUKhUCgUCoUSBiqcKBQKhUKhUCgUCiUMVDhRKBQKhUKhUCgUShiocKJQKBTKBcPOnTvBMAz6+/tHfV1+fj42bdp0TvaJQqFQKOcHVDhRKBQKZcJxxx13gGEYMAwDmUyG4uJi/PrXv4bb7Y5ru2VlZWhra4NerwcAvPHGGzAYDCNed+jQIdx1111xfRaFQqFQJheS8d4BCoVCoVCCcfnll+P111+Hw+HAp59+irvvvhtSqRQ///nPY96mTCZDenp62NelpKTE/BkUCoVCmZxQixOFQqFQJiRyuRzp6enIy8vDD3/4Q6xZswZbtmxBX18fbrvtNhiNRqhUKqxbtw41NTX8+5qamnD11VfDaDRCrVZj5syZ+PTTTwH4u+rt3LkTd955J8xmM2/d+tWvfgVgpKtec3Mzrr32Wmg0Guh0Otx4443o6Ojg//+rX/0K8+bNw1//+lfk5+dDr9fjpptuwuDg4Dn5rigUCoUy9lDhRKFQKJTzAqVSCafTiTvuuAOHDx/Gli1bsH//frAsiyuuuAIulwsAcPfdd8PhcGD37t04ceIEnnnmGWg0mhHbKysrw6ZNm6DT6dDW1oa2tjb85Cc/GfE6r9eLa6+9Fr29vdi1axe2bduG+vp6bNiwwe91dXV1+PDDD7F161Zs3boVu3btwtNPPz02XwaFQqFQzjnUVY9CoVAoExqWZbF9+3b861//wrp16/Dhhx/iyy+/RFlZGQDgzTffRE5ODj788EPccMMNaG5uxvXXX4/Zs2cDAAoLC4NuVyaTQa/Xg2GYUd33tm/fjhMnTqChoQE5OTkAgL/85S+YOXMmDh06hEWLFgEgAuuNN96AVqsFANx6663Yvn07nnzyyYR9FxQKhUIZP6jFiUKhUCgTkq1bt0Kj0UChUGDdunXYsGED7rjjDkgkEixZsoR/XVJSEqZOnYrKykoAwI9+9CM88cQTWL58OR599FEcP348rv2orKxETk4OL5oAYMaMGTAYDPxnAsS9jxNNAJCRkYHOzs64PptCoVAoEwcqnCgUCoUyIVm1ahWOHTuGmpoaDA0N4c9//jMYhgn7vu9973uor6/HrbfeihMnTmDhwoV4/vnnx3x/pVKp3zLDMPB6vWP+uRQKhUI5N1DhRKFQKJQJiVqtRnFxMXJzcyGREM/y6dOnw+1248CBA/zrenp6UFVVhRkzZvDrcnJy8IMf/AAffPABfvzjH+O1114L+hkymQwej2fU/Zg+fTpaWlrQ0tLCrzt16hT6+/v9PpNCoVAokxsqnCgUCoVy3lBSUoJrr70W3//+97F3715UVFTglltuQVZWFq699loAwMaNG/Gvf/0LDQ0NKC8vx44dOzB9+vSg28vPz4fFYsH27dvR3d0Nm8024jVr1qzB7NmzcfPNN6O8vBwHDx7EbbfdhosvvhgLFy4c0+OlUCgUysSBCicKhUKhnFe8/vrrWLBgAa666iosW7YMLMvi008/5V3lPB4P7r77bkyfPh2XX345pkyZgpdeeinotsrKyvCDH/wAGzZsQEpKCp599tkRr2EYBh999BGMRiNWrlyJNWvWoLCwEO++++6YHieFQqFQJhYMy7LseO8EhUKhUCgUCoVCoUxkqMWJQqFQKBQKhUKhUMJAhROFQqFQKBQKhUKhhIEKJwqFQqFQKBQKhUIJAxVOFAqFQqFQKBQKhRIGKpwoFAqFQqFQKBQKJQxUOFEoFAqFQqFQKBRKGKhwolAoFAqFQqFQKJQwUOFEoVAoFAqFQqFQKGGgwolCoVAoFAqFQqFQwkCFE4VCoVAoFAqFQqGEgQonCoVCoVAoFAqFQgkDFU4UCoVCoVAoFAqFEob/D/suI29d2KDKAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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terdbvnw55s2bZwSLtLN3717MmDFD73YDBgzA3r17jWARgUAgEAgEAqEpU1xcDG9vb7VGqItmJ5xU7nk2NjbNRjj16NGDkXCKj49v0Pfo/v37jNp179692XyWBAKBQCAQCAT20SWEhySHaAZ06dKFUbtbt26xbEnd3Lx5k1E7pudHIBAIBAKBQCDoChFOzYCgoCCIRCK92yUkJKCoqMgIFtVEqVQyFmpEOBEIBAKBQCAQjA0RTs0AgUCAjh07MmobHR3NsjXaefz4MYqLi/Vu5+vrCxcXFyNYRCAQCAQCgUAgPIcIp2ZCeHg4o3ZM3ef0helqE9PzIhAIBAKBQCAQ9IEIp2YCU3e2hhJOJL6JQCAQCAQCgWDOEOHUTDD3BBFEOBEIBAKBQCAQzBkinJoJrVq1gq2trd7tEhMTUVBQYASLnqNUKhnFUnE4HISFhRnBIgKBQCAQCAQCQRMinJoJXC4XnTt3ZtTW2KtOCQkJKC0t1btdu3btdCpWRiAQCAQCgUAgGAoRTs0Ic00QwbR/khiCQCAQCAQCgdBQEOHUjDDXBBEkvolAIBAIBAKBYO4Q4dSMMNcVJ5KKnEAgEAgEAoFg7hDh1Izw9PSEu7u73u2ePn2K3NxcI1gEKBQKRokhhEIhgoODjWARgUAgEAgEAoFQEyKcmhnmlpb8wYMHKC8v17tdSEgIhEKhESwiEAgEAoFAIBBqwje1AYSGJTw8HIcOHdK73c2bNzF48GDW7SGJIQgEAoFAIDQmLl++jAMHDjT4cXk8HsRiMSQSCezs7NCqVSu0adMGHh4e4HA4Rjsu53Pj9W0WVOq+KxFOzQxzSxDBdCWLJIYgEAgEAoFgCmJiYrBy5UpTm6HGysoKbdq0QZs2bdCtWzeMHz8eLi4upjarSUJc9ZoZTGs5GUs4kRUnAoFAIBAIBOaUlpbi1q1b2LZtG+bNmwcPDw+8/PLL2LJlC0pKSkxtXpPC5MJpzZo18PPzg1gsRkREBK5fv17n/qtXr0abNm0gkUjg7e2N9957D5WVeqyxNXMcHBzQsmVLvdulpaUhKyuLVVuqqqoQExOjdztra2u0adOGVVsIBAKBQCAQmgIKhQLHjx/H66+/DldXV7z77rsoKioytVlNApMKp507d2LhwoX49NNPER0djZCQEAwePBjZ2dla99+2bRs+/PBDfPrpp7h//z7Wr1+PnTt34qOPPmpgyxs35pIg4t69e4xEb1hYGLhck2t+AoFAIBAIBLOmoqICP//8M9q3b4+9e/eCoihTm9SoMenoc9WqVZg5cyamT5+O9u3b4/fff4eFhQU2bNigdf8rV66ge/fuePXVV+Hn54dBgwZh0qRJ9a5SETQxl3pOpH4TgUAgEAgEgvFJT0/HuHHjMGLECDx9+tTU5jRaTCacZDIZbt26hQEDBjw3hsvFgAEDcPXqVa1tunXrhlu3bqmFUlJSEo4dO4YhQ4bUehypVIri4mKNrbljLgkimPZHEkMQCAQCgUAg6M+RI0cQFhaGa9eumdqURonJhFNubi4UCgVcXV01nnd1dUVmZqbWNq+++iq++OIL9OjRAwKBAAEBAejTp0+drnrffPMNbG1t1Zu3tzer59EY6dixI3g8nt7tzEU4kRUnAoFAIBAIBGbk5eWhX79+OHHihKlNaXQ0qkCRc+fO4euvv8avv/6K6Oho7Nu3D0ePHsWXX35Za5slS5agqKhIvaWmpjagxeaJhYUFAgMD9W6XkZGB9PR0VmyQy+W4ffu23u1cXFyI+CUQCAQCgUAwgIqKCowZM8ZoWZObKiar4+Tk5AQej1cjU1tWVhbc3Ny0tvn444/x+uuv48033wQABAUFoaysDLNmzcLSpUu1JgwQiUQQiUTsn0AjJzw8nJFwuXXrFjw8PAw+/t27dyGVSvVuFx4ebtQibwQCgUAgEAjNgfLycgwdOhS3b9+udexN0MRkwkkoFCIsLAynT5/GqFGjAABKpRKnT5/GvHnztLYpLy+vIY5ULmemzBLy66+/4t69ewb18cUXX8DBwYEli+qnS5cuWLt2rd7tbt68ieHDhxt8fBLfRCAQCA1HsbQYcVlxuJt9F4WVhSiTl6FMVga5Ug4RTwQRXwQ7sR18bX3ha+cLX1tfuFi6kIkqhlQpq/DByQ8gVeg/QQgArR1b492Id1m2SpPssmx8cf4Lxu27eXfDq0GvsmgRDdvXHMkiVzfZ2dl4//33sWXLFlOb0igwmXACgIULF2Lq1Kno3LkzwsPDsXr1apSVlWH69OkAgClTpsDT0xPffPMNAGD48OFYtWoVOnbsiIiICDx+/Bgff/wxhg8fzihmhw2USiU++eQT5OXlGdRPnz59MG7cOJasqh9TJ4ggwolAIBCMQ2ZpJqLSonA76zZiM2NxO+s2kgqS9O5HwpfA184XIa4hiPSKRDfvbghzDwOPa5r7bWOCz+WjVFaKP6P/ZNSex+FhRJsR8LPzY9ewavx07SesubGGcfvJQZNZtIZgSrZu3YoZM2agX79+pjbF7DGpcJo4cSJycnLwySefIDMzE6GhoTh+/Lg6YURKSorGCtOyZcvA4XCwbNkyPHv2DM7Ozhg+fDiWL19uqlNAXFycwaIJAE6fPt2gwqlDhw6QSCSoqKjQq93NmzdBUZTBM0JMU5ET4UQgEAg1oSgK55+exy/Xf8GBBwegoBQG91lRVYEHuQ/wIPcBdt7dCQBwkDhgUMAgjG47GiPbjISIT1zha+ODHh9gfcx6Rp+FglLghys/4OchPxvBMnoF8tebvzJu39evL7p6d2XRIoKpefvtt3H79m0S3lIPHKqZrWEWFxfD1tYWRUVFsLGxMbi/H374Ae+//77B/bRq1QoJCQkG96MP3bt3x5UrV/Rul5KSYlCCBqlUCmtra8jlcr3atWjRAklJ+s+aEggEQlOlVFaKzbc3Y82NNbibc7dBj+1k4YSpIVMxs9NMtHFq06DHbixM2T8Fm+M2M2or5ovxdMFTuFi6sGwVsPLKSvzv5P8Ytz895TT6tTDO6kRjcNX75Zdf8M4777Der6lZvny51kzVnM+buMtuJYBvoZM2aFRZ9cyRU6dOsdLPo0ePkJKSwkpfusI0rTfT1SIV8fHxeosmgKQhJxAIBBUyhQzLziyD5ypPvH3s7QYXTQCQW56LH67+gLZr2qLPX32w++5uKCllg9thzizpsQQcMBt0VlZV4uco9lecpFVS/HjtR8btI70i0devL4sWEcyFn3/+GQqF4avVTRkinAxAJpPhwoULrPV3+vRp1vrSBVPFOZH4JgKBQGDO4/zH6L6hO5ZfXI5iqXkUdT//9Dwm7JmAjn90xNGEo6Y2x2xo59wOY9uPZdx+zY01KJGWsGgRsCVuC9JLmJcWWdpzKUka0kTJzMzE+fPnTW2GWWPSGKfGzrVr11BeXs5af6dOnVInxmgImK7gGCqcmK5YkRUnAoHQ3NkatxVvHX0LpbJSU5uilbisOMw/Ph9DWw81tSlmw0c9PsKee3sYtS2oLMDa6LVY2HUhK7YolAp8f+V7xu1DXEMwtBX5bNnio48+wsiRI+vdTyaTIS8vDxkZGTh48CD+/fdfKJXGWd3dsWMHSRJRB0Q4GQDbK0SnT59mJfGCrgQEBMDe3h4FBQV6tTM0QQQT4cXlctGpUydGxyMQCITGTqmsFHOPzcXft/82tSkEPeno3hFDWg3BsUfHGLVfdXUV5oXPg5AnNNiWgw8P4mHeQ8btyWoTu7Ro0ULvSeG33noLaWlp+Pvvv7F+/XrWY7/37NmDX375BULh8+uN+pT9ODFD46bYtKm4uBi239rqtC9x1TMAtuKbVGRlZeHu3YbzU+dwOOjcubPe7fLy8vD06VNGx6ysrMSdO3f0bte+fXtYWloyOiaBQCA0ZrJKsxCxLoKIpkbMsp7LGLd9VvIMW+O2GmwDRVH49tK3jNu3cWyDMe3GGGwHwXC8vLzw0Ucf4f79+5gyZQqrfRcUFODff/9ltc+mBBFODCkuLkZUVBTr/TZ0nFNDJ4iIi4tDVVWV3u2Imx6BQGiO5JbnYsDmAbiXY1iRdYJp6erd1aCECt9d/s7gxBvnks/hRvoNxu2X9FhCaniZGUKhEH/99RdmzZrFar+XL19mtb+mBBFODLlw4YJRMo+wvYpVHw2dIILUbyIQCATdKJGWYNDmQYjPjje1KQQWWNpzKeO2D/Me4tDDQwYd/9vLzFeb/Oz88GrQqwYdn2AcOBwOVq9ejaCgINb6fPiQuTtnU4cIJ4YYa2Xo/PnzjFJ1M6WhE0QwbUdWnAgEQnOCoijMODQDMZkxpjaFwBL9WvRDpFck4/bfXPqGcU2imIwY/JvI3P3qg+4fQMATMG5PMC4SiQRLlzIX5i/S0HVFGxNEODHEWCtDJSUluHGD+VK6vri7u8PT01PvdqoEEUza6YtIJGJ1JoVAIBDMnR+v/cg4ExvBPOFwOAatOl1/dh3nnzJLFf3d5e8YH9fdyh3TQqcxbk9oGIYMGQKRSMRKX48fPyb1nGqBCCcGZGVlIT7eeK4TjSHOqbCwUO9MLhUVFYySX3Ts2BECAZnpIhAIzYO4rDgsPrnY1GYQjMDQVkMR4hrCuD0TAZSYn4jd93YzPub73d6HmC9m3J7QMFhbW2Pw4MGs9CWVShknAWvqkHTkDDhz5oxR+z916hQ+/vhjox6jOl26dMH+/fv1bnfz5k0EBATovP/t27cZzWCQ+CYCgdCcWHxyMRSUcWZ7nS2cEeYRhk5undDRvSM8rT1hKbQEl8NFubwcxdJiPMh9gDtZd3An+w7is+NRImO3AGtzRrXqNGHPBEbtjz8+jtjMWIS6hercZuWVlYwTSzhKHDE7bDajtoSGZ9y4cTh0yLBYOBUJCQnw9/dnpa+mBBFODDB2AoerV6+irKyswdJvMxUmt27dwsSJE3Xen2l8ExFOBAKhuXAy8SROJJ5gtU8+l4+JHSbivcj30Mm9U711eAb4D1D/TVEUEgsScezRMRx8eBDnks8ZnN2tuTOm3Ri0cWzDuJ7Sd5e/w/ax23XaN7M0ExtjNzI6DgC8F/keLIWkFEhjoX///qz1pW+Nz+YCEU56QlGU0YWTXC7HxYsX8dJLLxn1OCqY1HIC9BdCJDEE++Tm5mLXrl0NflwOhwOhUAiRSASJRAJPT0/4+PjAzc0NXC7xACYQmKCklFh8ij0XPQ44mB8xHwu7LoS3rTezPjgctHRoiXcj3sW7Ee/iWfEzbIzdiLXRa5FSlMKarc0JHpeHJT2WYNrBaYza77q7C8v7LYe/ff2rAf8X9X+QKqSMjmMjssHc8LmM2hJMg6OjI2t9VVRUsNZXU4IIJz1JTExESorxbxanT59uMOFkZ2eH1q1b651F5datW1AqlToPlJmkIrexsUGrVq30btdcePbsGebONZ8bm0AggLe3N3x8fNC6dWv0798f/fv3Z/XHnEBoqmyN24rYzFhW+rIX22P72O0Y3JKdmAcVnjaeWNZrGRZ3X4z10evxxYUvkFmayeoxmgOvBr2Kz85/huTCZL3bKiklVl5ZiV+H/lrnfsXSYvx6o+596mJel3mwE9sxbk9oeFSTmWyIHiKctEOEk54wSdzg4+Ojt9hq6HpO4eHhegun4uJiPH78GK1bt65337KyMty7p38Bxy5duui1gqFUAgxLRekFjwcIBIBQCDg6Ag4OAFlooVdLk5KSkJSUhHPnzuHPP/8Eh8NB586dMWjQIIwYMYKsIBIIWqiQV2DpGXbSCYe6hWLfhH1oYd+Clf60IeQJMafLHEwNnYpfrv+Cby99i4JK4tqjKwKeAB90/wBzjs5h1H5DzAZ82vtTuFq51rrPHzf/QJG0iFH/FgILLIhcwKgtwbQwTVn/IvW59DZXiHDSEyaC5t1338WyZctQWVmpc5vY2Fjk5ubCyclJ7+MxoUuXLtiyZYve7W7evKmTcIqNjYVSqb9fvL7xTTIZYIpxuUAAuLoCbm701rIl0LUr0K0b4OXV8PaYExRF4caNG7hx4waWL1+OPn36YNmyZejXrx/5YSYQ/mPT7U1ILU41uJ8Q1xCcn3YeNiIbFqyqHwuBBRZ3X4xZYbPw9cWv8cPVHxrkuE2BaaHT8MX5L5BRmqF3W6lCiv+L+j8s779c++tVUvx47UfGts0Omw1nS2fG7QmmobKyUq+xZl1IJBJW+mlqkDlyPVAqlYwy6g0cOBBdu3bVu52xs/dVh+kqgK7ud009vkkuB9LSgJs3gSNHgNWrgYkTAW9venvlFeDYMYCURQDOnTuHAQMGoGvXrjh27JipzSEQzAI2aja5WLrg6KtHG0w0VcdObIcVA1cg6s0oBLsGN/jxGyNivhj/6/Y/xu3X3FiDYmmx1tc2x21mJMgAejXx/W7vM7aLYDpycnJY64sIJ+0Q4aQHsbGxyM/P16uNvb09AgMD0bt3b72P15D1nEJDQ8Hn678AqasgYhLfBDSNjHppacDOncDQofRK1HffAbm5prbK9ERFRWHo0KGYNGkSyd5DaNbkV+TjXPI5g/vZMGIDPG30L2jOJp09OmPPBFK4V1dmhc2CkwUzz5IiaRH+uPlHjecVSgVWXF7B2KbpodPhYe3BuD3BdJw4wV5GThKbrB0inPSAiZDp2bMnuFyu2QsnsViMoKAgvdtFR0frVJuJyYqTm5sbPD1NOwhgm+Rk4MMPgYAA4Jdf6Jis5s6OHTvQsWNH3L9/39SmEAgm4UjCEYPrNo1pNwZDWw9lySLD4HLI0EJXLIWWWBCxgHH7H6/9CGmVZta8/Q/241H+I0b98Tg8fND9A8b2EEzL3r17WetLlzCM5gj5ddMDJvFNKsEUEREBoVCoV9vExEQkJyfrfUymMHGLKy0trTepRElJCR48eMDInqYaA1NcDLzzDjBiBFDELHa3SfH06VN069YN169fN7UpBEKDc+DBAYP7+LhXwxVNJ7DLvPB5sBXZMmqbUZqBzXGb1f+nKArfXf6OsS2TgycbNakIwXgUFhayNuEuFovh7c2shEFThwgnHZFKpbh48aLe7VTCSSKRMBImDbnqxNQtrr7VpNjYWEZZXpqCm159HD0KDBsGSJmV2WhSFBYWYtSoUcjMJKmNCc2Hcnk5jj8+blAfw1oPQ6hbKDsGERocW7Et5oXPY9z++yvfQ6GkVyzPPDmDm+nMYoo54GBJjyWM7SCYlsOHD0Mul7PSV6tWrUhNxlog74qOXL16Ve+c9jY2NggNDVX/v1evXnoftyHTkhsrQURTTwxhKJcuAXPmACxlEG3UZGRkYPz48az9+BMI5s6/if+iosqweilLe7KTxpxgOhZELoCFwIJR24S8BPWqpSGrTePaj0Nbp7aM2xNMR2lpKb788kvW+mvTpg1rfTU1iHDSESYrPz169ACPx1P/n2mcE5M03kxo164dLCz0/+GuTxgxFU6dO3dm1K4xsnEj8NtvprbCPLh06RIWLVpkajMIhAbh38R/DWrf1qktIr0iWbKGYCqcLJzwVthbjNt/e/lb3Eq/hZNJJxn38VHPjxi3JZgOpVKJt956C48eMYtr0waJb6odIpx0hIlwelEodevWTUNI6UJOTg7i4+P1PjYT+Hw+OnXqpHe7mJgYVFVV1fo6E+EUEBAABwcHvds1Zr74AmCp/EKj5+eff26w655AMCVMg/hVDPIfxJIlBFOzqNsiCHn6xUKruJl+E6/tf43xsYe2GkrcPRsh5eXlGD9+PLZu3cpqvz179mS1v6YEKYCrA8XFxYyC1l90zbOyskJYWJjefZ0+fRrBwQ1TFyM8PByXLl3Sq015eTkePHiAwMDAGq8VFxfXmzyiNjuaG1lZwLZtwIwZDX9sR0dHBAQE1LufUqlESUkJCgsLkZWVZVSbfvzxR6xfv96oxyAQTM3j/McGtR8UQIRTU8HD2gMzQmfg91u/M2r/IFf/JEwqiLtn4+LRo0fYsGEDNm3ahIwMZvW6asPJyQn9+/dntc+mBBFOOnD+/HmdUm5Xx9LSEmFhYTWe7927t97C6dSpU3jvvff0asMUQxJEaBNO0dHRDWpHY2fVKmD6dKChkwkOGzYMf/31l15t0tLScOzYMRw9ehQnT57UOwawPrZs2YLly5fDzc2N1X4JBHNBppAhpSiFcXsBV4Defvq7gBPMlw96fIC10WsNTk+vD/1a9ENX764NdjzCcx4+fIjz58/Xu59UKkVubi4yMzNx4MABRsnKdGXcuHEQCARG67+xQ4STDjBJ0NCtWzetF16vXr3w/fff69XX+fPnIZfLG+RCZrrSc/PmTUybNk3r8w1pBxusWAG0aqX9NZkMKC0FcnKAy5eBCxfYTSd+9y5dMLcxZAH18vLCrFmzMGvWLFRUVGDFihX46quv6nTb1AeZTIY1a9awGvBKIJgTyYXJUFLMY1jDPcNhJbRi0SKCqfGz88Nrwa9h0+1NDXZMstpkOlauXImVK1ea2gwNJk2aZGoTzBoinHSAjfgmFT169ACHw9ErPXdZWRmioqLQo0cPve3QlxYtWsDR0RF5eXl6tastsx4T4cTj8dCxY0e927FFnz6ArgteCgVw+zad2GHdOnaOHxvbOIRTdSQSCT799FP069cPL730EsrLy1np959//iHCidBkMdRNr6VDS5YsIZgTS3oswd+3/wYF46dajfSKRF+/vkY/DqFx4Onp2SBjzcYMSQ5RDxkZGbh7967e7WoTTnZ2dhopynWloeo5cTgcRm5ysbGxWlNI15eqXBuBgYGMsvuZAh4P6NQJWLsW2LWLHRe7mBjD+zAVPXv2xObNm+vfUUfu3LkDmUzGWn8EgjmRmJ9oUHsfWx+WLCGYE22c2mB8h/ENcqylPZc22ULzBP2ZP38+qd9UD+TdqYczZ87o3UYsFtcpPsy9nhMT4VRZWYl79+5pPFdQUIDHj/WfUW2s8U3jxwNvv214P7dvG96HKRk9ejRrNSBkMlmN64pAaCoYuuLka+vLkiUEc+OjHsZPDR7iGoKhrYYa/TiExkH79u2xYMECU5th9hBXvXpgIlgiIyMhEolqfb1379746aef9Orz2rVrKC0thZWV8f3ZDUkQERISov5/c0wMMX06sGaNYX3o6SVpdnA4HMydOxfvvvsuK/1FR0czWqUlEMydZyXPDGrva2e4cPri/BfILM00uJ/aWDV4FcR8sdH6b6qEuIVgWOthOJJwxGjHIKtNhOr89ttvJCmEDphcOK1Zswbff/89MjMzERISgp9//rnOxACFhYVYunQp9u3bh/z8fPj6+mL16tUYMmQI67ZRFMVqfJMKJvnxq6qqcOHCBaOc54sYIpzeeOMN9f+ZuOkBjTsVeadOQPv2gCGLJCyFB5mUqVOn4sMPP2Ql1omJqyyB0BioqDIsE6W3jeHBkNvjtxuUxro+vhvwHRFODFnac6nRhFMbxzYY026MUfomND6mTp3KyBuqOWJSV72dO3di4cKF+PTTTxEdHY2QkBAMHjwY2dnZWveXyWQYOHAgkpOTsWfPHjx8+BBr166Fp6enUex79OgRUlNT9W5Xn3BycnJChw4d9O63oeKc3Nzc4M0gO8GLQolJYgixWMzovTEXOBxgkIFlVcRNYIxhY2ODVrWlJtST4uJiVvohEMyNCrlhwslaZM2SJQRzJNIrEv1bGKeezkc9PwKPyzNK34TGhbu7O1asWGFqMxoNJhVOq1atwsyZMzF9+nS0b98ev//+OywsLLBhwwat+2/YsAH5+fk4cOAAunfvDj8/P/Tu3VvDPYxNmAgVoVCIyMjIeverT1xpoyHjnJis+ty+fVsjkJ+JcOrUqVOjXyp2cjKsvZ0dK2aYHBcXF1b6KS0tZaUfAsHcqKyqNKi9iFe7SzihaWCMVOF+dn6YFEhSThMAKysrHDt2jLX7dXPAZMJJJpPh1q1bGDBgwHNjuFwMGDAAV69e1drm0KFD6Nq1K+bOnQtXV1cEBgbi66+/1rs4ra4wESrh4eGQSCT17sdkSTQuLq7W1Ti2YeKuJ5PJEB8fDwDIy8vDkydPGuS45oahus/RkR07TI22LItM4PHIrCihaSJVSA1qL+A17kkmQv308euDbt7dWO3zg+4fkGuHAEtLSxw4cIDEEOuJyYRTbm4uFAoFXF1dNZ53dXVFZqb2QNWkpCTs2bMHCoUCx44dw8cff4wffvgBX331Va3HkUqlKC4u1th0QaFQ4OzZs7qf0H/oupLE1JeUiU1MMKQQLsA8MURjjm9SUVBgWHsGIXBmCVsi39LSkpV+CARzQ8gTGtS+SslOsWmC+cLhcFhddXK3cse00Gms9UdonDg7O+PcuXPo3984rqBNmUaVjlypVMLFxQV//vknwsLCMHHiRCxduhS///57rW2++eYb2NraqjddY3diY2NRwGAErKtwcnd3ZxQD0lDuemFhYYyy7aiEExM3PaBprDjFxTFvy+EAQ5tAdtiUlBQ8eMBOwLljU1mCIxBewNCkCdIqw1asCI2Dl1u+jI5u7BSF/1+3/5FkHc2csWPHIiYmBp07dza1KY0SkwknJycn8Hg8ZGVlaTyflZUFNzc3rW3c3d3RunVrDdeddu3aITMzs9YimUuWLEFRUZF60zXZAxOBwuPx0LVrV533ZxLn1FAJImxsbBjV4lEliGAinOzs7NCyZUu925kTWVnAiRPM20dEAC8swjZKfv/9dyiVSlb6MlYMI4FgaiT8+t2666JMXsaSJQRzhq1VJycLJ8wKm8WCRYTGiI+PDw4fPow9e/YYLalac8BkwkkoFCIsLExDCCiVSpw+fbpW8dG9e3c8fvxYY0CWkJAAd3d3CIXaXR5EIhFsbGw0Nl1gIlA6d+6sV50lJsLpyZMnSEpK0rsdE5i4zd25cweVlZWMhFOXLl0afU2JnTsBQ0Luhg9nzxZTIZVKsW7dOtb669SpE2t9EQjmhKEz/2nFaSxZQjB3RrcbjXZO7QzqY0HEAlgKietzc8PGxgb/+9//cO/ePQwbNszU5jR6TOqqt3DhQqxduxabNm3C/fv3MWfOHJSVlWH69OkAgClTpmDJkiXq/efMmYP8/HzMnz8fCQkJOHr0KL7++mvMnTuXVbsqKytx8eJFvdvpK4SYxjk11KoTE7c5uVyOM2fOICUlpUGOZ05kZgKrVhnWx8iR7NhiSlauXImcnBxW+rK2tkZAQAArfREI5oaHtYdB7VOL9C+XQWiccDlcLOmxpP4da8FGZIO54eyOlQjmi1AoxJgxY7Bnzx5kZWVhxYoVJF6YJUxaAHfixInIycnBJ598gszMTISGhuL48ePqhBEpKSngcp9rO29vb5w4cQLvvfcegoOD4enpifnz5+ODDz5g1a6rV6+islL/NLH6CicfHx/4+fkhOTlZr3anTp3CzJkz9WrDBKaJGv74448GPZ45cOMGMHUq8PQp8z6mTQMacQkrUBSFn376CcuWLWOtz9DQUI3fAAKhKRFgb9ikQEqR/hNUhMbLpKBJWPjvQuSW5+rddkrwFNiJ7dg3imAWuLi4oE2bNmjTpg26du2KMWPGwK6p1DYxM0wqnABg3rx5mDdvntbXzp07V+O5rl274tq1a0a1iUl8E5fLRY8ePfRu17t3b72F05kzZ6BUKo0+oAwJCYFAINA7rfSRI8wqnTemFaeyMuDyZeDsWeDcOSAqCqAo5v05OwMrV7JmXoOiVCoRHR2Njz/+GMePH2e174kTJ7LaH4FgTgQ4EOFE0B0+lw8bkQ0j4eQgcTCCRQRDGTp0qF7u6DweDxKJBBKJBHZ2dmjdujXatGlDRFIDYnLhZI4wcYXr2LGjzvFT1enVqxc2bdqkV5vc3FzExcUZPfe+SCRCSEiI3vFKTJICeHp6wsPDMLcVthgxAhDVUldSKgVKS+mNLSwtgSNHGkf9JqVSidLSUhQVFeHWrVs4cuQIjh49WmsJAUOwt7fHtGnTWO+XQDAXWjoYlgwnqbBh4l0JBIJxGDVqFN58801Tm0HQAyKcXqCwsBA3btzQux3TeCUmCSIAWtw1RNGyLl26ME4tru9xzAUjaIBasbEB9u4FTO2luGnTJmzevLne/djKlKcLb731FvHJJjRpWti1MKj91dSrkCvkBhUzPfX6qXrrQf1y/ResvNpIl8QJBAKBRYhweoHz588zGhwWFxczyiRGURTEYrHeMVWnTp3CokWL9D6evnTp0gW//fZbgxynuTFmDPDzz4CZLLQ1qCiqD6FQWKsLL4HQVJAIJPC09sSzkmeM2pfJyxD1LAo9fPR3E1fhaVN/WmJ7iT3j/gkEAqEpQYTTCzAtMLt+/XqsX7+eZWtq58KFC5DJZLWmYWeLhkrY0JgTQ+iLhwewZg0wapSpLTFffvzxR7Nx3SQQjElLh5aMhRMAnEo6ZZBwIhAIBILukHRVL9BQqb4Npby83OhJMgCgbdu2DeIu1RwqWDs4AIsWAffuEdFUF1OnTsWcOXNMbQaB0CC0cmhlUPtTScwm+wgEAoGgP0Q4VePZs2e4f/++qc3QmYYQeTwez+iipnXr1k06I4xIBHz3HZCeTmfOs7U1tUXmS8eOHfHbb781+kLIBIKuDAwYaFD7q2lXkZifyJI1BAKBQKgLIpyqcebMGVOboBdM3Qr1xdjxR009vkkqBT74AOjdm05hTtBOu3btcPDgQUgkElObQiA0GC+1fAlCHnOXayWlxA9Xf2DRIgKBQCDUBhFO1WgsbnoqoqKiUFxcbPTjEOHEDlFRQI8ewIQJQAopv6JBv379cPnyZXh7e5valGZFlbIKpbJS5JbnIqMkA9ll2SioKECprBTSKikUSoWpTTQ6CqUC5fJyFFYWIrssGxklGcivyEeZrKxBzt9GZIP+Lfob1MeGmA3IKs1iyaLGCUVRqKyqRFFlEbJKs5BZmonc8lwUVRahXF4OuUIOypBiewQCgQCSHEINRVENtoLDFgqFAhcuXMCwYcOMehxjJ25oTokhAGD3buD8eeDoUaAZhHbViVAoxPLly/Hee++Bx+OZ2pwmAUVRyCnPwdPCp0guTMbTIs3HjJIMVFRVoLKqEkqq/kyKPA4P1iJr2IhsamzOFs5wtXSFi6ULXK3+e7R0hbu1OywEFg1wtnVDURSeFD7BzfSbSC5MRmZpJrLKstQD66yyLOSV54FC7QNqHocHMV8MK6EV3Kzc4GblBlcrV7hZ0n+3dGiJtk5t4W/vDx6X2TU8qu0o/PP4H6anCalCitXXVuObAd8w7sNckVZJkVqcSl/DWq7pwspCSKukkCqkOvUn4Uu0Xsv2Enu4WLhoXMsuli5ws3KDi6ULuBwyz0wgEIhwUpOQkIBnz5hnNjIVp0+fNrpw8vX1hZOTE3Jz9a9WXh98Pr9B6lGZG9nZQP/+wIULQEiIqa1peEQiEd544w0sXrwYvr6+pjanUaOklIjLisOZJ2dwNvksLjy9gGIpeyvRCkqBwspCFFYW6tXOycIJvra+8LH1UT928+6GCK8I1mx7kbzyPFxJvYIb6Tfo7dkN5FXkGdSnglKgTF6GMnkZssqycDvrttb9hDwhWju2Rjundujk3gk9fXqis0dniPi1VNOuxog2I/DWkbfqFHD1sTpqNaaFTkMbpzaM+zAHCisLceHpBZx5cgZnnpxBfHa8Qe/Li1RUVaCiqgJZZbqv0Am4Anjbete4nid0mABrkTVrthEIBPOHCKf/aGyrTSoawm4Oh4Pw8HAcO3aM9b6DgoKabUxLcTHw8stAdDTg5mZqaxoGCwsLzJkzB4sWLYK7u7upzWnU3Eq/hQ0xG7Dr3i7klrM/qWEoueW5yC3Pxa2MW+rnpodOZ104VcgrcDjhMLbEbcE/j/+pt5irsZApZIjPjkd8djx239sNABDxROji2QU9fXriq35f1bpq4WblhgivCFxLY54ptbKqEtMOTsP5aecNipkyBeXycuyM34lNtzfhYspFnVZCGxK5Uo6kgiQkFSRpPN/dpzvaitqayCoCgWAKiHD6j8YW36QiPj4eWVlZcHV1NepxunTpYhThZI7xTUePAtUXwSgKqKgA8vPpOKWTJ4GzZ4HSUsOPlZEBvPUWsH8/0FQTyQUEBGDQoEEYNGgQ+vbtC1uSVtAgrj+7jg9PfYizyWdNbYpJufj0IjbGbsSee3tQIisxtTlakSqkuJRyCZdSLuHLvl8CdXzHx7Yba5BwAoBradcw58gcrBuxrlFkppQpZPjhyg9YdW2VWYp/AoFAeBEinEDHCp0923gHIWfOnMGkSZOMegxjxSGZY3yTszNdpFYb4eHAO+8AMhnw22/Axx8DJQaO2Q4eBLZtAyZPNqwfU8LhcODu7g4fHx/4+vrCx8cHrVq1Qv/+/eHv729q85oE0iopPj//Ob67/J3Zzcg3JBefXsQn5z7BueRzpjaFVWaHzcaKyyuQU55jUD8bYjeAy+FizdA1Zr3ydDvzNqYemFqr6yOBQCCYI0Q4AYiOjkZhYaGpzWDMqVOnjC6cjLUyZI4rTrogFALz5wP9+tHudoaGx82bB/TtW7tgMzZDhgzBp59+qvP+HA4HIpEIIpEIEokEbm5uEArNd5DW2CmoKED/v/sjJjPG1KaYjOyybLx34j1su7PN1KYYBWuRNT7p/Qne+ecdg/taF7MOD/MeYu+EvXC2dGbBOnbZGrcV0w9Oh1wpN7UpBAKBoBdEOKHxxjepOHXqFCiKMqprhrOzM3x9ffH06VPW+pRIJGjfvj1r/ZmCoCDgwAGgWzdAbsAYoLAQmDuXdtkzBc7Ozma5+kegU4ZP2DPBKKKJx+HRGeKs3OAgcYCQJwSfyweXw4W0SorKqkp1Br5yeTlyynJQUFnAuh31ceHpBYzZOcbgRA+1YSW0gqe1JyyFlrASWsFSYAkBT4ByeTnK5eUok9HJIfLK84x6/rPCZuHHaz/WiKVhwsWUi+iytgtWDV6FkW1GMs74xzaXUi4ZTTRZC63VWQ9VnyGfy4eSUqJCTl/Hqmu6qLIIWWVZkClkrNtBIBCaLoyEU0VFBSiKgoUFnW726dOn2L9/P9q3b49BgwaxamBD0Fjjm1SkpKQgMTERLVu2NOpxwsPDWRVOYWFh4PMbv3bv3BlYuZJegTKEAweAixeBnj1ZMYvQRPjqwlc4lWT45I610Bqj241Gb9/e6OjWEZ42nnCUOOo9oK6sqlTXO8oszcTToqd4lPcIj/IfISEvAcmFyaxmQdt7by8m75usc7rp+nCzckNnj84IdQ1FiFsIQt1C4W/vr3O66aLKIjwpfIInBU/wpPAJ7uXcQ9SzKNzNvmvweQt5QizvtxyT9rLjQfC06CnG7hqL1o6tsbjbYrwW/JpOWf5UUBSF68+u42TSSVbsKZGWYMzOMayIplC3UIxoPQJdvbuilUMruFm5wVJoqVcfFEWhoLIAmaWZyCzNRHpJOhLzE9XXckJeAoqkRQbbSiAQmg6MRq0jR47EmDFj8NZbb6GwsBAREREQCATIzc3FqlWrMGfOHLbtNBoVFRW4dOmS3u2sra2NkkY7NzcX9+/f17vd6dOnjS6cunTpgt27d7PaX1PhnXeAc+cMXzFavBi4cqXpJoog6IdCqcDa6LUG9zOq7ShsHr0ZVkIrg/sS88XwsfWBj62P1telVVIkFiTiduZt3Mq4RW/ptxglcPjtxm+Ye2yuwYJEwBVgdLvReLPjm+jv39+gmjy2YluEuoUi1C1U4/liaTFupt9EVFoUziSfwfnk84wEwoQOE/D9le8RnRHN2MYXSchLwJuH38SCEwvQyb0Tunh0QWePzmjn1A42IhuI+CJUVlWiTFaGZyXP8KSArn117uk5Vla/VOy7v8/gGC4JX4LtY7djZNuRBtvD4XDgIHGAg8QB7Z1rej9QFIXc8lzcz72PW+m31Nfzw9yHrE4OEAiExgMj4RQdHY0ff/wRALBnzx64uroiJiYGe/fuxSeffNKohNOVK1cgleo/kzlhwgSsW7eOdXvu37/PyH3t1KlTmD17Nuv2VIdtV66m5BrG4dDJIk6eNCzb3rVrdFY/I5fmIjQSziafRXpJukF9jGwzEnvG72kwVy0RX4T2zu3R3rk9JgXRKydKSonH+Y9RJivTuZ9NsZvw9rG3DbbnjY5v4Mu+X8Ld2rjp721ENujXoh/6teiHJT2XoFhajBOPT+BQwiEce6R7RlIuh4sVA1ZgwOYBrNtYKivFhacXcOHpBdb71oWtd7Ya3Me/r/+LHj49WLCmfjgcDpwtneFs6Yxevr3Uz5dISxCbGQt3K1JSgUBobjCadisvL4e1NV307d9//8WYMWPA5XIRGRnJqitXQ8DUTa93794sW0LTtm1buLi46N3uzJkzUCqNm2mrU6dOrMZRNaUVJwBwdaVXjAzls8/oFOgEQlxWnMF9vNzyZZPHt3A5XLR2bI2O7h112j+zNBPvnXjPoGPai+3x72v/Yt2IdUYXTdqwEdlgfIfx2Dx6M7Lez9Jrlau/f38sjFxoROtMg6HXs43IpsFEU11Yi6zR07cnbMWktAKB0NxgJJxatmyJAwcOIDU1FSdOnFDHNWVnZ8PGxoZVA40N08QQxhJOHA4HvXr1qn/HF8jPz0dsbCz7BlXD2tqatWQODg4OTTJN9XvvAU5OhvVx6xZw+DA79hAaN2wErm+M3YhSGQtFxxqQ+cfnG5SEwU5sh1NTTmFgwEAWrWIOn8vXe9Lp2wHfoqtXVyNZZBoMvZ6LpcXYfHszS9YQCASC/jASTp988gnef/99+Pn5ISIiAl270j/u//77Lzp21G1G0RwoKCjArVu36t/xBfz9/eHjo92/nw2YirKGSHLB1ipRly5dGkWBRn2xsgL+9z/D+yGrTgQAaOPYxuA+op5Foe+mvjiScEQvVzlTcfzxcey6u4txex6Hh+OTj6OTeycWrWp4BDwBdo7bCU9rT1ObwhptnAy/nqcfnI4lp5bQcUbkR5JAIDQwjITTuHHjkJKSgps3b+L48ePq5/v374/Vq1ezZZvROXfuHCP3NmOtNhnaf0OkVWdTODVV5s41fNUpJgY4dIgdewiNl0EBgyDhSwzu52b6TQzfPhx239mh+4bu+ODkB1gfvR5nn5xFSlEKFEoFC9ayw+Y4w1YUZoXNQoRXBEvWmBZvW2+cmnIKThYG/qCYCaPbjja4DwWlwLeXv0XbNW3hscoDr+x5BSsur8Dee3sRkxGDYmkxC5YSCASCdhglh5gxYwZ++umnGqtLHTp0wDvvvIMNGzawYpyxYbpC06dPH3YNeYEOHTrAwcEB+fn5erW7ePEipFIpRCLd083qC1sJHZpSYogXsbSkY50MjXf67DNgxAiSYa85Yym0xILIBfjm0jes9FelrMKV1Cu4knpF43kBVwAfWx942njCw9oDHlYecLd2p//+b1PVOTImCqUCJx6fYNzeQmCBz/p8xp5BZkBbp7b497V/0f/v/iapocUm00KnYdXVVcgqy2Klv8zSTOy8uxM77+7UeN5R4ghvW2/1texhXfN6drNyMyi7IoFAaJ4wEk6bNm3Ct99+q04QoaKiogJ///13oxFO5hbfpILL5aJXr144cOCAXu0qKipw9epVowq74OBgCIVCyGSG+ao35RUnAHj7beD774EcAzLvxsbStZ1GGz5JS2jEfN7nc5xNPotradeMdgy5Uo7EgkQkFiTWuZ+ThRP87PzgZ+cHX1tf+Nn5oaNbR3Ry7wSJwPCVseiMaIOK3Pby7QUXS/2T65g7Hd07Inp2NCbsnoAb6TdMbY7OWAgsNBKTuFi64O/Rf+PlrS9DSRkvmVFeRR7yKvIQmxlb6z6qyYLq13Irx1YI9wxHC7sWTdKVnEAgGI5ewqm4uBgURYGiKJSUlEAsFqtfUygUOHbsGKOMcKbg2bNnePjwod7t/Pz84OvrawSLNOndu7fewgmgV9FeFE45ZTmIehaFW+m3UFlVqXefrRxboZt3N7RxbAOhUIiff/4ZeXnMBzcikQhubm6gKAqJBYm4knoFD3If6O2vLuAJEOoWigjPCHjamFccgGrVydB4p88+A0aOBLhkYrTZIuAJcOK1E5h6YCoOPDhgUltyy3ORW56Lm+k3NZ7nc/kIdg1GpGckIrwiEOkViVYOrfQefBpa6LeXj/6JdV7kSuoVg1PA10W/Fv3gIHHQu52fnR8uzbiExScX46eon4xgGXtwwMGMjjPwZd8vYSGw0HhtUMAgHJ98HBP3TDTpClpdkwXOFs70dfzf9dzFowvJoEcgEADoKZzs7OzA4XDA4XDQunXrGq9zOBx8/vnnrBlnTM6fP8+onbHd9FQYEuf05ZdfajznbOmMYa2HYVDAINzOvI1raddw7dk1XEu7pldxQweJAyK9ItGtbTd08+6GLp5d9CqoWSGvwM30m7iSegUjd4zE1dSrehVD9LLxQqRXJCI9IxHpFcnaLLexmDOHXnXKzmbeR1wcXVR37Fj27CI0PmxENtg7YS9+jvoZn577FEXSIlObpEGVsgrRGdGIzojGrzd/BUCnAw/3DEe/Fv0wJWQK3Kzc6u3HUMHCRkKIFZdX4ODDgwb3Uxs3Zt5gJJwAQMgTYvVLq9HLtxdmHJxhdtcBn8vH+Pbj8UH3DxDiFlLrfgMDBuLWrFuY9888vWpcNRQ55Tk4knAERxKOAKCFYDvndoj0jMS49uMwKGCQyVP8EwgE06CXcDp79iwoikK/fv2wd+9eODg8//EXCoXw9fWFh4cH60Yag3PnzjFqZ2w3PRXBwcGwtbVFUZF+N8YbN26gqKgItrY1Z8eEPCG6eHZBF88ueAfvAACyy7IRlRalFlPXn12vNXVxfkU+jj06pr7RcTlchLiGoJt3N3T16opu3t3gZ+ennmVOLUrFldQruJp2FVdSryAmMwZVyiqdzkPClyDMI0wtkiK8IuBl46XXe2FqVKtO779vWD+ffUa765FVp+YNl8PF/Mj5mBY6DX/f/hu/3vwVD3IfmNqsWimoLMCJxBM4kXgCH53+CMPbDMe74e+ib4u+tbYxVAg0l1WBMe3GINQtFLMOz8LpJ8bPplofjhJHzA6bjbe7vK3z6n8L+xY4+upR3Ey/iV9v/Irt8dsZeUQ0BBQo3Mu5h3s597AhdgO8bLwwI3QG3o14F44WjqY2j0AgNCB6CSeVaHjy5Al8fHwatQ8wU+HUUCtOPB4PPXv2xJEjR/Rqp1AocP78eYwYMUKn/V0sXTC8zXAMbzOcbq9U4F7OPUQ9+09MpV3DvZx7oFDTjU5JKRGTGYOYzBisubEGAOBq6Ypg12Dcz72PtOI0ne1u5dCKXk36bwtyCYKAJ9C5vbny1lvAihWGrTrFxwN79wLjx7NnF6HxYiu2xTsR72Be+DxEPYvC+eTzuJR6CZdTLptt8gAFpcCBBwdw4MEBjG47GhtGboCd2K7GfmK+uGZjPWCj7lVjwd/eH6emnEJcVhx+uvYTtt7ZCqlC2qA2BLoEYn7EfEwOmsx49b+zR2dsGLkBKwetxKmkU7iUcgkXUy7iduZtrfcdcyCtOA1fXPgCP0X9hN+H/Y5XAl8xtUkEAqGB0Fk4xcXFITAwEFwuF0VFRbhz506t+wYHB7NinDHJytI/q4+vry/8/PzYN6YWevfurbdwAug4J12F04vwuDwEuQYhyDUIb3Z6EwBQVFmEG+k31ELqWtq1WgO4s8qycDLpZJ3HsBHZIMIzQi2Swj3Dm0y63RextAQ++ABYtMiwfj7/nHbXI6tOBBUcDkf9HfoAH0BJKXE/57564Hkp5RKeFj01tZk12P9gP+Ky4nBo0iG0d9YsqM3UhU3Fk4In6OVreJxTYyLYNRjrR67HtwO+xR+3/sCaG2uQWZpptOOFuIZgdNvRGNNuDAJdAlmbQHWQOGBChwmY0GECAPq+cy3tGi6lXMKl1Eu4lnbN7FakiqRFmLR3Em48u4HvB31PsvQ1I1zcXNAxoiMUFLNSDjwOD5YCS7i51e/CzASZQob47HjGxc9tRDbo4NxBPYFdIa9AfHY8KqoqGPXnZOGENo5tjObiWiYrQ3x2POPJI7FC90k7nYVTaGgoMjMz4eLigtDQUHA4HK3B/BwOBwqF+dQEYZOGctMz9Hhs13OyFdtigP8ADPAfAACgKAqT9k6qkQJWF7p7d8eF6Rea1Q1GterEQKuruXsX2L0bmDiRPbsaK5zPG+9Kt65Qn+o/087lcNHBpQM6uHTA7M6zAdCuuEkFSXhS8ARJBUn034VPkFqcirTiNJMNRBMLEjFyx0jEzI7RiJPs7NHZoH4vp17G1NCphprXKHG2dMayXsuwuPtinE8+j5jMGERnRCMmMwYJeQl698cBB142XghwCECwSzB6+/VGD58eDZa10FZsi8EtB2Nwy8EA6IHg08Kn6us4qSAJiQWJSClKQVpxGmspzpmw6toq+Nj6YH7kfJPZQGhYJoybgHFjxyEhLwHXn13HjWc3cD39OmIzY3Ve+RbxRPg662ucPn5aHZLga+ur92QERVF4UvgEUWlRiHpGbzEZMTqLCCFPiFC3UHTx6IIuHl0Q7hmONk5tNMZpEoEEoW6hiM+Ox430G/Q5p99AfHa8zhkyrYXW6OLZBRGeEYjwjEDGogydYl9fREkp8SD3ATbGbMS1tGuIehaF+Ox4nUWspcASYR5h6nPt4tEFDlzdJ+10Fk5PnjyBs7Oz+u/GTnh4OPh8/bKxh4WFGcka7fj5+aFHjx56F+nl8/koKyuDpaVxaq5wOByI+MxqRQl5wmYlmgDAwoJedVq40LB+vvgCGDcO4JGYZIKOuFi6wMXSBZFekTVeoygKeRV5SCtOQ2oRLaRSi1PxtOgpkguTkZifaNTB6OP8x/jw1If4Zcgv6ucG+A8Aj8NjPIt7LvkcKIoyaBXEQmABG5FNnfvIFXLGM6/GRsgTYmDAQAwMGKh+rkRagttZtxGTEYOssiyUycpQKitFpaISYp4YYr4YFgILeNt6I8A+AP72/vCz82P8O28MhDwhWjm2QivHVlpfl1ZJkV6Srp4USCtOw9PCp+rr+XH+Y6O6Mi4+tRhDWw9FS4eWRjsGAIxoPQLZ5fr7fge5BhnBmudIpVIcPHgQcrlcr3Y8Hg+jRo3SyNJsbM6cOYOMjAy92/Xs2RM+Pj7q/3M5XLR1aou2Tm0xJWQKAFrgx2XF4cazG2qBUVu4g1QhxdW0q7iadhWIop9zsXRRC4vaMjoWVhbixrMb6pCK68+u65xoS5XoRCUYwj3DEeQSpNN3XcAToKN7R3R074hZYbMA0Cs9MZkxauF449mNWstalMhKcObJGZx5ckb9nI+tj8b5dnLvVCMTZ1ZpFi0I/xOGN9Jv6Fzoms/lI8Q15LlI8uyCdk7taqx8FRfrXjhbZ+VQPQW3lZUVHB3pgMjU1FSsXbsWFRUVGDFiBHr27KnzwU3JgAEDsGLFClRV6ZasAACuXr2K9PR0fPHFFxAKhUa0js769/rrryM1NVWvdj169MDGjRuNJpoIzJg9G/juO8NWne7do1edXiHu9AQW4HA4cLJwgpOFE0LdQrXuk1WapR5wx2TG4PST08gtz2XNhq13tuLHwT+q3UHsxHaI8IqoUaBXVx7lP8K++/swtj3zNJTbxm6rd5999/dh7C7DU12S1VP2EPFFaGHfAi3sW2h9Xa6Q42HeQ8RkxCA2MxZRz6JwJfUKa3FUMoUMO+J3YFmvZernjBEHrm/ZjoZCJBKhZcuWeP3113Hv3j292gYGBmLbtm0ICqLFnbHOsaSkBO+88w42bdqkVzsrKyv8+OOP8Pb2rndfIU+Izh6d0dmjM+ZgDn1caQmiM6JxI/25mEouTNbaPrssG4cTDuNwwmEAtNBp69QWEV4RoCgKUc+i9EoK5GvrqyGSOrl3grXIuv6GOmIptEQPnx7o4dND/VxeeR5upt9Un+v1Z9drnYRLKUpBSlEKdt/bDYB2YQx2DUa4ZzgKKwtxLe2aXi7nbRzbaJxviFuIwbGzL8Kh9LhC79y5g+HDhyM1NRWtWrXCjh078NJLL6GsrAxcLhdlZWXYs2cPRo0apZcRa9aswffff4/MzEyEhITg559/Rnh4eL3tduzYgUmTJmHkyJE61zwqLi5WZ6t79OgRXn/9ddy/f18vezt16oRt27ahTZs2erXTBblcjk8//RTffvutXj8eQqEQX331FRYuXAjeC0sSzenmXFkJSAzMUH79OmCM+rw//mj4qlPbtnSyCNVHfPv2bYSGhhps29SpU/HXX38Z3E9D0JyuZ3OjSlmFIwlH8O4/7yK1WL9Jndo4P+28RlzS1xe/xtIzSxn319qxNeLnxBs1uYwhwunGzBtql0RyLZuWjJIMfH3xa/xy45f6d9aBSK9IXH3jqvr/zUk4qaisrMTSpUvx448/6mWrSCTCd999h3feeQdcIwTzXrt2DZMnT0ZSku4lWAB6MnrTpk3w9/dn1Z6cshxaSFVbmdKnPIs2nCycNNzPunh2MYuC4BRFIa04TX2+19Ov42b6TZ1XjWrDy8br+bl6dEFnj86MM6tW1wY2NnV7HOglnF5++WXw+Xx8+OGH2Lx5M44cOYLBgwdj7dq1AIB33nkHt27dwrVrule437lzJ6ZMmYLff/8dERERWL16NXbv3o2HDx/WWUw3OTkZPXr0gL+/PxwcHBgJJxsbG1RUVOCjjz7C6tWrdbYZACQSCVavXo2ZM2ey9uP46NEjvPrqq7h582b9O1cjODgYmzdvrjUpR3O6OZuzcKqoAPz9gUwD47a3bgVefZX+mwinpok5DzYB4G72XXRd3xUlshKD+9oxdgcmBj4P3iuRlqDDrx0MEmavBr2KzaM3G80tmC3hZAwM/X6Y+7VnDN795138fP1ng/vxtfVF8oJk9f+bo3BSce7cOUydOhUpKSl6tRs8eDA2btwId3d3VuxQKBT4+uuv8fnnn+sVfy8UCvHll19i0aJFNSajjQFFUTibfBb9/+7PqP0/k//B4IDBjSbbtZJS4o+bf+DtY28zap/4biL87dkTs/oIJ72CfG7cuIEzZ84gODgYISEh+PPPP/H222+rZwfeeecdREbW9KWvi1WrVmHmzJmYPn06AOD333/H0aNHsWHDBnz44Yda2ygUCkyePBmff/45Ll68iMLCQr2OWR2JRIIff/wRI0aMwNSpU3V2jauoqMDs2bNx7NgxrFu3Dk5OzLPCURSFDRs2YP78+SgrK9O5HZfLxeLFi/HZZ59BJKrdP9UYN0JzvTlzKAVm93poUB+P/shA7mYZnNo5odMbncATsvOjKZEA27fTRW1Tr6SgJINZtpunxwG82r7e/ZoqbF875notmzMdXDpgfPvx2BC7weC+LIWabsXWImusGbIGI3YwywwKANvubIOVwAq/Dv2VFCol1MsnvT9hRTi9eC03Z/r06YO4uDgsWLBAr0m5EydOIDg4GOvXr2ecHVhFcnIyXn/9dVy6dEmvdvVNRhsDDodj0OqQi6VLoxFNAB0f5mzpzLi9q6Uri9boh17CKT8/X5060crKCpaWlrC3t1e/bm9vj5IS3WcgZTIZbt26hSVLlqif43K5GDBgAK5evVpruy+++AIuLi544403cPHixTqPIZVKIZU+DwitLQCsb9++uHPnDt599138/fffOp/DwYMHERUVhU2bNmHQoEE6t1ORn5+PWbNmYe/evXq18/f3x99//43u3bvrfcymDI9Dwf3CboP6eHTh+d/XVl1D/2/7o92Ydqz8KPXpQ287Tl/BwwvMBJ5dkAsAWjgJhUJWXAhUiV8qKyvx7Nkzg/qytDReitXmSM+NPeFh7YGePj3R06cnglyDTJ5gRUkp8bjgMSt9BbnUDFof3mY4xrcfr/Z7Z8Kf0X/iUf4jrBuxjtWZSQJzDj44iOUXl9PXsm9P9PDpYRalKB7lPWKln2BX8y/F0pDY2tpi48aNGDFiBGbNmoXcXN3iI3NzczFy5Ei89dZb+OGHH2BhYVF/oxfYtm0b5syZo1fQP4fDweLFi/H555/XORlNaN7ol1YONZeeDRlM5ubmQqFQwNVVUzm6urriwQPtwW+XLl3C+vXrERsbq9MxvvnmG3z++ec67Wtra4tNmzZh5MiRmD17ts5f8szMTAwePBjvvfcevv76a52zw5w5cwZTpkzRe6A6e/ZsrFy5ElZWVvXvTDCI/Mf52D1uN7y6emHQykHw7lZ/cGhD0q5dOyQmas9goy+XLl3CG2+8gYQE/VMXV4fL5WLRokX47LPPGN3wCJqkl6TjUsol7Lq7CwBgK7JFd5/u6OnTE509OiPYNbhB/djlCjlmHJqBC08v1L9zPUR6RcLXzlfra78N/Q3Jhcm4kX6Dcf9nk8+i/Zr2mB02G3O6zEFbp7aM+yIYTpWySh0gv+raKgBAO6d26OnTE919uiPULRRtndpCyDNu8qXq3Hh2w6DVzepM7EDqRWhj9OjR6NatG2bOnInDhw/r3O7333/HuXPnsG3bNnTs2FGnNkVFRZg3bx62bNmil43+/v7YtGkTevToUf/OoL2O9u/fjytX9EtkIxQKMXLkSPTq1avG+Nndyh0/v8xs5dPLxqvGcxRF4fLly9i/f7/GAoIudO3aFaNHj1bfwwsKCrBjxw7cvXtXr36sra3xyiuvICQkpMZroW6hjM9X229EVVUVjh8/jn///VevbNRcLlfnzx3QM8aJy+Xi5ZdfVivxw4cPo1+/fuoMblKpFMePH9fZjzQ9PR2enp64cuUKunbtqn5+8eLFOH/+PKKiojT2LykpQXBwMH799Ve8/PLLAIBp06ahsLCw1hgnbStO3t7e9foxZmZmYubMmXoXoA0ODsa2bdvQoUOHWveRyWT4+OOP8f333+vlr+zm5ob169djyJAhetlkDMzVvamqsgrLJcuN0jcAtBvTDv2/6Q/H1o4G9bNj5A48PMRsxcklyAVz4uYYdPzqlJSUYMmSJVizZg1rfQJAy5YtsW7dugavf6Yv5notqwj4vwAkFdQd0Oxi6YJg12AEuQQh2DUYHZw7wMfWB86WzqytTqUVp+FIwhH8dvM3xGXFsdLnzy//jHnh82p9vVRWijE7x9RbVFtX+vj1wdh2YxHmHoZg12DGrlV77+3FuN3jGLVtzjFOurxvfC4fbRzbaFzPrRxbwcvGq0aaYqbIFXLcSL+BLXFb8FfsX6yklrcX2yN9UbpGBq/mHOOkDYqisHHjRsyfPx+lpbq7qgsEAnz99ddYuHBhnYkjLl++jNdeew3Jycl62TVz5kz88MMPsLbWP9vc/fv38ddff2HTpk3I0iNtbuvWrfHmm29i6tSpdcbzMyEnJwd///031q1bV+sihDZcXV0xZcoUTJ8+He3atavxOkVRuH79OjZu3Ijt27frtZrXpUsXvPnmm5g0aRKj97kukpOTsWHDBmzYsEGvhYiAgABMnz4dU6ZMga2trXGSQ6jikOpj48aNOu0nk8lgYWFRIxPf1KlTUVhYiIMHD2rsHxsbi44dO2oE6qlUJZfLxcOHDxEQEFDnMfUJAFPFHi1YsECvL7lYLMb333+PuXPn1vjhfPDgASZPnozo6Gid+wOAcePG4bfffjMolopNzPXmbGzhBABcPhdhs8PQ+9PesHRmNvAyF+F0/PhxzJ49W68A3tqKX9fGW2+9he+++67e75upMNdrWYUuwqk2hDwhPK094WXjpd7sxHawEFhobBK+BBwOBzKFDNIqKXLKc9S1cNKK05BUkKRXSlhd6N+iP46/dhx8bt2OD9IqKaYcmKJecWMLLoeLNo5t0Mm9Ezo4d4Cd2A5WQitYCa1gIbCAglJArpCjVFaKwspCZJZm4mnRU9zPvY87WXcY1wQiwomZ4AQAB4mD+jr2tvGGm5UbLAWW9DUskKivZxFPhCplFWQKGcrkZXhW/Iy+lkvo6/lezj2Uy8tZOy8OODg86TCGth6q+TwRTlp58uQJpk2bhgsX9Fu17tevH/7++294enpqPF9VVYWvvvoKX375pV4rDa6urli/fj2GDh1a/871IJfLcfz4cWzcuBGHDx/WudQNn8/HyJEjMXPmTAwcOJBxRkGlUokzZ85g7dq12L9/v871tPh8PoYNG4YZM2bgpZdegkCgWzbS8vJy7Nu3Dxs3bsSZM2fqb/AflpaWeOWVVzBz5kyEh4cz/o7IZDIcOnQIa9euxcmTJ3X+XlhYWGD8+PGYMWMGevbsqT6+0bLqGYOIiAiEh4fj55/p5TqlUgkfHx/MmzevRnKIyspKPH6s6Ve/bNkylJSU4KeffkLr1q3rra+kz5ujIikpCVOnTtU7wHDIkCHYsGEDXF1dQVEU1q5diwULFqCiQvfZLVtbW6xZswavvvqqWQX+mevNuSGEkwqhtRA9PuyByAWREFjol/rY1MIpLy8PCxcu1CueTygU4uuvv8bw4cMxZcqUGivCdeHl5YXff/+dlRsU25jrtazCEOFkrvjY+uDWrFs6x7colAqsvrYaH5/92GwLz+oKEU7MhZO58nmfz/FJ709qPE+EU+0oFAr8+OOPWLp0KWQymc7t7O3tsXbtWowdS2e1TEpKwmuvvVZnXLw2xo4di99//90ok9HZ2dnYsmULNmzYoJdrm6+vL9544w1Mnz4dXl41Xe+0kZ6ejr/++gvr1q3DkydPdD5W+/btMWPGDLz22ms1wmX05cmTJ/jrr7/w119/6TUJGxQUhDfffBOvvfYaHBwcdGqTkJCAdevW4a+//kJOju7p27t164YZM2ZgwoQJWle8GpVw2rlzJ6ZOnYo//vgD4eHhWL16NXbt2oUHDx6olw09PT3xzTffaG1fn6veizARTgD9JV+1ahWWLVum15fc2dkZ//d//4edO3fqbKOK/v37Y+PGjToVXTMUJaVEqawUxdJiFEuLUVRZhGJpMUpkJZAr5FBQClQpq6BQ0o9vHX3LoOOtGbIGPA4PPC4PAq4AAp6gxqOQJ4SQJ4SIJ6If+fSju5V7rVWuDRVO7ca0Q2FyITKida8qbu1pjb5f9kXIlBBwebrNFplKOFEUhb1792Lu3LnIzta9+nxQUBC2bNmizjJUVVWFr7/+Gl988YVeKV4nT56M1atXm83KKWDeA02g6Qmnl1u+jPUj1sPdWv90w4/zH2PRv4tw6OEhI1jWMBDh1HSEk6XAEqtfWo03Or6hVSQR4VQ/8fHxeP3113WOW1fxxhtvoGvXrnjvvff0Skpma2uLX375BZMnTzb6ZDRFUbh58yY2bNiA7du3o6ioSKd2qrCYmTNnYsiQITVWgVSxPGvXrsXRo0d1vgfb2Nhg0qRJmDFjBrp06cL6+atWvTZs2IB9+/bpHFclEokwbtw4vPnmm+jdu3cNuyoqKrBv3z6sXbsW58+f19keNzc3TJ06FdOmTUPbtnXHtzYq4QQAv/zyi7oAbmhoKP7v//4PERERAOiUln5+frWms2wo4aTizp07eP3113H79m292+qKRCLBihUrNFK9GwpFUXhS+ARnn5xFTGYMUotTkVachqzSLLVAMhQehwcuh6veAIACBSWl1NgM5eL0ixpVqqtjqHDq/01/dF/cHXe238GZj86gKEW3HzqAFjQDVwxEwOCAen+QTCGcMjIyMHfuXOzfv1/nNhwOB4sWLcKXX36pNelJVFQUXn/9dTx6pHtWKicnJ/z888+YOHGiWayimvNAE2g6wslaaI3vBnyHtzq/ZfDnfi3tGpZfXI5/Hv0DBaW7cDcHiHBqGsKpp09PbBy5EQEOtYcHEOGkGzKZDJ9//jm+/fZbvVzt9KUhJ6NfRJVMYsOGDTh9+rTO7dzc3DB9+nS88cYb4PP5WL9+vd6xPP369cOMGTM0kj0YG1UyiQ0bNuhVm7RVq1bq2K/s7GysXbsWW7ZsQUFBgU7t+Xw+RowYgenTp+Oll14Cn69bDrxGJ5waEkOFE0AnnPj888/x3Xffsf4l79KlCzZv3ow2bdqw1ueKyyvw641fDYpReLvz2+jboi88rT3hZOGk4VMu5Al1DkCnKApypRxyhVz9KFPIIFPIUFlVqbGVy8tRLi9HmbwMZbIy9eP0jtPhZ+entX82hFOPD3uo+7r+y3VcXH4RlYWVOvfhP8AfA78fCLfQ2lNyN6RwoigKf/31FxYuXKhXzTNvb2/8/fff6NOnT537lZWVYdGiRfjjjz907hsARowYgV9//bWGv3pDY84DTQBot6YdHuTqHuBrbvjb++PNjm9iTpc5sBPbsdp3ZmkmtsZtxabbm3An+w6rfbMFl8NFJ/dO6OvXF339+qJfi361rpizgTlfz4ceHsLIHSON1r+x4XP5eLnly1gQuQB9/frWK4zMYWLI2LA5hLxy5QqmTJnCWqZYFWKxGN999x3mzZvH2mS0ISQnJ2PTpk3YuHEjnj7VfVymT3yxj48Ppk+fjqlTp6JFixZMTWWFO3fuYOPGjdi8ebPO2aq5XK5e4+vAwEC166GqvIo+EOFUB2wIJxWXL1/GlClTkJRk+Gwwj8fDJ598go8++khnhawrxx4dw6bbm3D88XEUS3XPglIdMV8Mf3t/uFu5w0ZkAxuRDSwFlhDxRRDxRBDzxeq/VW52Au5/jy+43Yn5Yoj5YkgEEvXf1TdDsoCxKZxUlOeV4+Lyi7j+y3Uo5Tp+kTlA8GvB6PdVP9j62NZ4uaGEU3JyMmbNmoWTJ/XLSjZ58mT88ssvsLOz07nN4cOH8eabb+rlAmhjY4OVK1fizTffNNkgw5wHmgDtRvu08Cnu5dzDvZx7uJ97X/03GyvFbGMhsEA3727o5dMLA/wHINIrskFcYmIzY7EjfgeupF3BzfSbqKzSfbKDTRwljghyDUJHt47o49cHvXx7sS4Y68Lcr+dSWSke5D5QX8OqLakgCRTMbzjib++P3r690du3N4a0GqJX0U4inPSntLQU//vf//D777+z0l/nzp2xefPmel21TIFSqcS5c+ewYcMG7N27F5WVhv1micVijBkzBjNmzEDfvn3NQiRWRyaT4ejRo9iwYQOOHTtm8MKDra0tXn31VcyYMQNhYWEGfd+IcKoD1ZtzIv4EEsoSkFuum/qtjruVOzq6d0SQSxAUUgV+++03lJWVGWTXsGHDEBYWhqSCJERnRONB7gO9XVCEPCE6OHdAR/eO8LbxrnERyRVyJBYkIjE/EWnFaciryENeeR7yK/ORV56HvIo85Ffko1xejgp5BSqqKlBZVYkqpW7ZYdhCyBPCUmAJB4kD7CX2sBfb03+L7WEvsYentSf87f0R6hZaI07CGMJJRcGTApz56Azid8Tr3B9PxEPkgkj0WNIDYtvnrm7GFk4KhQJr1qzBRx99pPe1yeFwdA5MfZGSkhK9VrVU9OvXD2vXrmWlmK++mPtAs9bjUhSyy7KRUpSiuRWn4GnhU2SVZam/z2wj4ArozGa23vC2+W+z9UZHt44I8whr0Do82pAr5LiTfQdRaVGIehaF2MxYZJRmIKcsh5XBuY3IBh7WHvCw9oCPrQ8CnQMR5BqEIJcguFm56XwDL6wsxO3M24jNjEVBpW6uKNXxtvGmswK6dFC/52xcz0pKiUd5jxCdEY1H+Y/0drEW88UIcglCR/eOcLdy1+n9qKyqRFpxGlKK6Ou3+vWcWpSK3PJcFFQWsOLu/SL2Ynt423rDx9ZHfT23sG+B7t7d4W3LzK2LoiizG7gaA9UQUkkpkZifiNjMWEbjFxFPhCDXIHRy7wR3K3ecPHlS7xpJL+Li4oKZM2eiQlmB2MxYxGTEMPqeedl4IdQtFB2cO0AikKifN/S7poHsv80QhP9tLFHXvU2mkCGjJANpxWnILM1EkbQIJdISdeiHxqO0BFKFVB0jr6AUkJXJIJfR8fNKpVIdR189pIPD4YAD+j3mgKMOA+Fx6bAQvoQPgUgAHocHPpevjpFX/c3n8tWT9i/GzA8KGIQRbZ7XbyPCqQ6qvznW1tZIL0lHTGYMYjNj6S9WZozO8QQ8Dg/tndujk3sn9RbiGgJrUf056hVKBRLyEhCdEU1vmdGIyYhBkVS3mBpbkS1C3ULVW0e3jmjn3M4oA5YqZZWGkKqQV0CqkKpd7FQpjNV/K6SQVknVLndShRQV8gqUyEpQVFmEImkR0orTcD/3PuMVMBVh7mF4Pfh1zI+cT9tqROGk4tmNZzj5/kk8vaD7ErvEUYJeH/dClzldwBPyjCqc7t+/jzfffNPgm05DI5FIsHz5crz77rsaJQeMTWMVTrpSIa9AQWUBPUlSkY+8ijyUy8s1vr/VNz6XDxFPpE7GovrbQmABT2tPeNt6w8XShbX6UBrs2wfE6z4xoRUOB+DzAR7v+fbf/+VcIIdTjkyUIoMqQQZVjBK+AnIhHzIhD1VCPoQSK4gtbSGRWEPMl6hXxu3EdvC09oS7tTushOwWH6coCilFKTXuRSlFumWoEnAFCHQJ1LgXBbsG61T3qEpZhfs59zXuRbGZsSiV6VaCw0HigI5uHTXuRW2c2tSbZp4JSkqJYmmxxrVcWFmocf+pvikohfr6rf4o5AnhIHFQC3+m9bx0ITc3F/v27cP27dtx/vx5nVdo7O3tMX78eEyePBk9evRgVYSVlJRg//792LJlC06fPq3zzL+trS3GjBmDSZMmoW/fvrV6x5TLyxGfHa8WK7FZsYjLitN5EsfF0oW+jt2eX89+dn46CfC88jz1tRyTGaMW/7qgKlFQ/VoOcQuptcA4q8LJDKl+b6uQV+Bk0klceHoB55+eR0xGDKP40lYOreBp4wkXSxdYCiwhqfYby+fyNeLk1bHyFKURL68SYDXCPpR0yEf18WdlVSUqqipQJitTh36Uy8sxP2I+VgxcobaLCKc60OXNKaosQlxWnMZNLD47HnJl/XnxOeCgtWNrdHTvqP7SB7kGIb0k/fmNKSMat7Nu6/wj4m3jrfFFDnUL1flHBADis+Px+fnPYS20pjeR5qOlkL54X6yFIeaLa6h1JoMliqJQWVWpjlFS1Yi5+PSiuno8U8R8MeZHzMe3A74F0DDCCaDPKeFIAk4tPoXcB7qvWtoH2KP/N/0RtzkOCYcTGNlYm3CSy+VYsWIFvvjiC70yP0okEsyYMcMoQaNXr17VO41/REQE1q9fX2cRaTYxd+HEtruPWf/kv/oqsH27qa2gEQgAGxvA3h7w8qI3Hx+gQwcgOBho04bex4jkV+TjduZtjXvRvZx7Og1YuBwu2jq11RiAtnduj6dFTzXuRXey7+js1tjCrkWNe5GXjZfO12hTH2gCdf8epKenY/fu3di+fbte5Rx8fHwwadIkvPbaawgMDGRkl1wux4kTJ7BlyxYcOnRI57IoFhYWGDFiBCZNmoTBgwdDJGIWn6dQKvAo/5H6OlZNDmSX6ebabSe2Qyf3Tujo1lEtpmxENojJiFEL/uiMaJ0nGyR8CYJdgzWu5SDXINaKLDPBnO9FO+J3YNqBaYzr1wFAN+9ueDXwVXjbesNGZANroTWshFYaoR6qRx7XuJOnFEVp/G4R4VQHTGOcZAoZ7ufcV3/ZVV98XVeIdIHL4aKdUzuNL3KIW4jOtU5q48LTC+j9V29WbORxeBDwBDUy6Kk2JUUvuSqUCvXf0iqpQe4xPA4P1iJruFq6qmcIA10C0d27Ozq6d9RYZWso4aRCWaVE9PponPv0HMqydHeJ43A5oJTM3hNtwik6OhozZszQO9tjeHg4/v77b1aTkVRHqVRi9erVWLJkiV5iTiAQYNmyZfjwww/rrc1mKOZ8swKIcDJbhEKgXTtaRIWFAQMGAO3b0yteRqSyqhJ3s+9q3ItuZ93WeYVIF/hcPjo4d6gx825orFZzF07VefLkCXbu3Int27cjLi5O5/6Dg4MxefJkTJo0qd7scBRF4cqVK9i6dSt27dqFvLw8nY4hFArx8ssvY9KkSRg2bBgsLY2zIkdRFDJLM2uMq3RdIdIVJwsn9ZhK9djasbXRB+f6Yu73onJ5Oc4nn8fFlIvqouj5FfnqjU03Wg44GvHyL8bOV4+LF/FFmrHyPPo5CV8CO7Ed7CX29KPYXv1/F0sXjd8zIpzqgM3kEBRFIbkwGbGZsfjj1h84kXhC7z6shFZYNWgVQt1CEegSqOE/yxa//QYUFilQhUrIUUFvFP1YhQpUQQYFJYMCUvpv1SMlhRIKKFGlsSlQBSVVhf+SjdOiiEOBw6EArhJcDsDj8sDn0nWaaP9THvg8PvhcHsQiHiwkPFhKeLAQ82BpwYODtQQOlvQMhI3IRr0aZiOygZgv1nnw2NDCSYWsVIYrK6/gyvdXIC/XrWI3U6oLp6qqKnz9/ddY89MaKKp0XzbncDh446038P4H78PJyrg1laRVUly7dQ3vzX0PKcm6F8cDgHYd2uGXX39BSIcQI1ln/jcrIpwaER4ewIgRwIQJQO/eQAPFuFSPL/kp6idcTr2sdx+ulq74pv83CHULRXvn9kbJ/EeEk3bu3bunFlG6lnbgcDjo1asXJk+ejHHjxsHe3l792v3797F161Zs27ZN56KoPB4P/fv3x6RJkzBq1Ci9EgOxTYm0BHFZcbiVcQvzj89n1MerQa/i1cBXEeoWCg9rj0aRqMPc70V1HpuiUCIroV1oy/NQJi9DhbxCw11OFepR/f/VMyvLlDL1/1UhH9VDP6QKKcpkZep6o4bGq9qKbNHasTUG+g9ET9eeeDnoZSKctMGmcKrONxe/wUdnPtK7nYe1B54t1D0fPxP8/AA9Ml6aDKEQcHKivWFatAD69AFefhnQp+SCqYSTipKMEpz79Bxi1scwXlGqjxdXnEplpbibfRdxWXG4k30HcVlxiMuK0zkI1tXSFcGuwQhxDUGIWwhCXEPQ1qktBDz93ZAySzNxO/M2bmf9t2Xe1jlQmMfhobVjawS7BiPIJYh+dA2Cr62vUW965n6zIsJJR6ytgctaBANFAVVVgFz+fCssBDIy6C09/fljejqgRzX6OunQAVi8GJg0yegufdVZeGIhfrz2o97tQlxDEPtWLPsGGRlDvr/mFp9IURRiYmKwY8cO7NixA6mpqTq1EwqFGDJkCMLCwrB//35ER0frfMyePXti0qRJGDt2LFxctMfymAq5Qg7hV8w8DraO2YpXg15l2SLjYu73ou13tkPEF6ld7KyEVrAW0X+rwjuMEvuqBSWlRG55Ls48OYO3jrxlsPeXNWWNks9LdNIG7EdvEpoc69bR4xltUBSgUNDjEoWCHpOUlABFRUBeHnDvHrBpE6CLJ4JM9nzscu3a8/HT8OHAoUPsnY8xsXa3xvA/hyNyQSROfXAKCUeYxTHpg5XQChFeEYjwilA/R1EU0kvSNYTUnew7uJ9zv0asXlZZFk4mncTJpOcpy4U8Ido7t0eIa4iGqFK5jcoVcjzIfaAWRyqhpKu/upuV23Nx9N9jO+d2EPNrFtklEHSCzweCggzvp6QEiIoCrlwB/vmH/jFiwt27wNSpwMcfAz/9BIwaZbhthCYNh8NBp06d0KlTJ3z77be4evUqduzYgV27dtVZ5kEmk+HAgQM4cOCATsfp3LkzJk2ahAkTJjDOoEpofrx19K16E3qJ+WJ1wgcLgQUkfEmNsjQqdztVdrwXN4qi6Gx7/yWCUFJKyJVydW3Pcnk5CioKkFGawSjrMwccuFm5wd/eH5FekYj0ikSYQxj8P9ctq2+zFU6239gCZjBGSy9JN4r7ApszD0IhINHDg9DBgZ7QtbICysoABrXIAAB2dkD//sCCBczamxLn9s6YdHgSks8l49/3/0XGrYwGPT6Hw4GnjSc8bTzxUsuX1M/LFDIk5CXQQirrDuKy6cfUYs2ZTZlCpvY3r46HtQccJY54kPtAp2QpEr4EHVw6INiFXj1SCSV9aqEQCA2KtTUdrzRgAPDJJ0BCAvDDD8CffzLrLyUFGD0aWLIEWL5cIwYqNTUVu3bt0qsIJgC4ublh4sSJCAgIqPHaqLajai0QXhe1xdIWFBRg9+7diNcz26GdnR3GjBmDkJCQRuEmZQxYubc7AZgNIBmAoYuhPAD+wE3Hm7hZchOL1i8y1DqNsYY5uWJO3jcZk/dNZr1fQ8dW0iopSmQlqJBXqOPBVam4DSU2MxY8Du+/UAk+nZa7Wnru6rFCPA5Pr+/lo0fA1+2Oo1JZBqmiAjKqkn5UVkKqrIBcKUUVJYNcKXvhUQqFsgoKRRUUVBXkUEBK0X8rKBmU1H/hHv9lzQOH/puCUkvIhxWsubawF/HgZ8lDpAcPYiEdAqKKv1clPrMSWmkkQVOtjtmL7eFh7VHDo6a4WPcMz81WOBF0Z+5c4P33tb+mVNZccZLrEOJjbw94etKJqry96f87OQG+vrSrnrc3HS6g7/2WoiiIHZkrYhlfViPbiiH49fHDzOszEb8zHhe+uICyHDqBhCG+uQJb5m4/Qp4QgS6BCHQJBKpNzhdUFCA+O169MrUuep1W97r0knSkl6TX2n8n904Y1mqY2s0uwD7A7AJwCQS9aN0a+OMPYMgQYMYMID+fWT/ffAN07gyMGaN+ytvbGwsXLsS1a9ewfft27Nq1C1lZWTp1t3TpUkRGRmLy5MmYOHEinP+boerl2wu9fHsxs/E/KisrceTIEWzduhVHjx6FXJcfdTzPwPbKK6/gpZdeYpyBjfACPAAB/20EsyOzNBNXU68iuTAZz0qeIb0kHYWVhRp1jFR1jWQKQ4s11U7HPzrqvC8HHHXJCSFPiGGth2HjyI217v9//wf88ktXNsxkHSsrer5LtdnZ0eNLHx+gUyegWz/A1pa945EYJ5YwZ99UQ2Ochg+v6QGjVNJiSRU6UFxMu+fl5ABPngCZmbr3z+cDbm60UAoIoBNVBQYCERH0c/oirZLiYd5D3M2+i7s5/23Zd5FYkKhT1hdbka1aXKi2IJcgOFo46mUHRVFILU5FfHY87mTdQXxOPOKz43E/575OKT2FPCHaOrVFB+cO9OZCP/rb+xtdjNh9a8fIZ/inl37CuxHvGsEi42HO312AxDjpjL09c1GjK4cP08kfmNKyJe2/XEvMk0KhwPnz57F9+3bs3bsXBQW6xSnyeDwMGjQIkydPxqhRoxhlQVMoFDh37hy2bt2KvXv36jwDq8rA9sorr2D48OFGy8BWG00pxqk+zP23im3M+XwzSzPxydlPcP7peSTkMXPJ97bxxqTASfCy8YKblRushFaQCCSQ8Guva8TlcDVqGqm2KmWVRk0juVKurrH5Yk3NiqoKtctbmawM5VXl6ODcAYu7L67V1nfeAX75hem7BQwcCKxcqf01ino+plRNxJeX02PKoiLg8WPg9Gng5k1mx+bxgO7dgT17aveA0kcbkBUnQr2MHw+8/rp+bUpLgZgYOlTg4kXg3DlaXGmjqgpIS6O369c1X/P1BXr2BPr1ozdf3/qPLeKLEOwajGDXYI3nK6sq8SD3QQ1BlVSQpLECVCQtwuXUyzUyU7lZualFlEpQtXduDyuhFXLLc2lxlE2LI5VI0qXAr4ArQBunNjUEUoBDgFGKSBIIBIYMGwa4uAB1xJvUyePHQFISXQNKCzweD/369UO/fv2wZs0anDx5Etu3b8fBgwdRWlp7unGFQoF//vkH//zzDywsLDBq1ChMnjwZAwcOhKCOxBQURSE2NhZbt27F9u3bkZ5e+2ryi3b2798fr7zyCkaPHm3SDGwEgimokFdAppChqJJ5UoLssmxcTLkIH1sf2Int1K5lYr64RuFmlZudKj7oRdc7MV+szkIs4onUabobKllDfdjZ0ZUb9EGhoMeNT58CFhbMhVPLlsDQofRqFBuQURnBKFhZ0YKnZ0/aza+qCoiOBs6cobdLlwBd6u89fUpvW7bQ//f3pwVU//5A376Aq6vuNon5YnVdkuqUy8vxMPehWkipRNWTgicagiqzNBOZpZk4lXRKo7292F6nDHZ8Lh+tHVvXEEgtHVoyymAH0HWSoqKicOzYMZSV6V5HCgC6dOmCYcOGwVrLr8nyfssZFbrr6dOzxnMURSEuLg4HDhxAUZF+N5mgoCCMGDECjo76rfYRCEZBJgMqdSsWWys61iUTCoUYOnQohg4divLychw7dgzbt2/H0aNHIZXW/t0sLy/Htm3bsG3bNjg7O2PChAmYPHkyIiMj1auXT548wbZt27B161bcv39fZ9N79uyJV155BePGjTO7DGwEQkPSwr4F/hr1F5SUEg9zH+Jx/mMkFyYjryJPo7ZRfkU+CioLUCwtVqfjVt1bpQoprqZdxdW0q0azU8gTqoWURCCBrci2Zl0jsT2cLJzgZ+eHAIcAtHFsw7qnw7FjtNezNl5MMqZacapjrggAIBbTXkmenvRmb0+75KlCQLy96QzNbM/rEFc9ljDnJeVRo26ioIC5fZ06PYC3t25+99Xhcrng8/kaG4/HA5/PB0UJkZTkjHv3XFBRIQKPx4NQKIRIJIJIJIRQKAKfX7+uDwykhZSfH4MTq4cyWRm9QpVzF0vPLEVacZrefUR6ReK9yPfQwbkDWjm20ijWyybl5eU4ceIE9uzZg8OHD6OkpESndmKxGC+//DImTJiAYcOGwcrKihV7KIrCnTt3sHv3buzatQsJCbq7MnTq1Anjxo3D2LFj0VrLL22zcl1DMztfc3fV+7//A+YzqysDAOjRA7hwwaAiucXFxTh48CB27NiBf//9F1VVugWV+/v7Y+TIkbh+/Toua0vbXgudO3fGK6+8ggkTJtRbcNUUEFc93SHnax4oKaWGC131GkcqFzvVpktdI1UsVV5FHhLzE5FYkGiQfR7WHhgcMBif9P5EnWjGUFe9tm2BceM0n6sumOTy5+55hYVAaiqQnKzbBDtA/6Q6OwPu7nRsU9u29NapEz1OrG84SQrg1kFzFE5+fn56Z20yB4RCIezs7GBrawtbW1u4u7vD19cXvr6+CA4ORteuXbWulhiDyHWRiHoWpXe7OZ3n4NehvxrBotqRSqU4deoU9u7di4MHDyJfx8GkWCzGkCFDMGHCBAwdOlRvEUVRFO7evYtdu3Zh165dePjwoc5tu3btirFjx2LMmDFo0aJFnfs2KyGBZna+5iqc5HLgs8/oBA9M3z8Oh64z1ZW9AOvc3Fzs27cPO3bswLlz51j7bNu3b49JkybhlVdeQcuWLVnp01gQ4aQ75HzZZcHxBXhW8ux51rZq2dssBZbqeCULgYX6b4lAAhFPpDU9tyqmqa7ffFWq7iplFSrkdKxSmZwuCpteko6UohT8cPUHJBcmMz4vLoeLnj49sXb4WrRybAXAcOE0fjywa5d+bSiKjpm/cYOuCnH+PBAbq/9PsERC5+Xp3ZveunYFXgzFJMKpDup6c8rl5cgpy0GprFS9lchKNP5fKiuFXCHXSCNZ6yOlUN/IOBwOOOCovxBcDhdccNVpFrkcbrWUi/znqSR5Ao20ktry4Xfx7FJn+lk2hJOtrS1SUlJ02lehUKCqqkq9SaVSFBUVobCwEAUFBXj27BmuX7+OY8eOobCwkLFNXC4XISEhWLRoESZPZj/taHUak3Cqjlwux/nz57Fnzx7s37+/zlog1ZFIJBg6dCgmTJiAIUOG1Bnwfe/ePbVY0tXth8vlomfPnhg3bhxGjx4NT09PndoBzUxIoJmdr7kJp/JyYP9+YPVq5g72ACASARs30sVwdaBUVorc8lzNe5FUy71IKVffb4pzi5FyOwUKhaJG4LgSSqi9jjl0Ri0O6OuKw+HQgzXQj87+znDxd1Hfi6rfg1Rb9cFe9XtSd+/ucLd2Z/4+MaCxCSeKotTuWy9+ntU/53J5OaqUVXQtm3rGGQrl8wyo1ccaqs+Uy+Gq01RX/1uVqvrF8Ya2z1bIE2JMuzF1nJl2VIVKCysLtZ6v6pwrqip0GlOp6vqozhVAjfN9cUzF5XDrHFdpEzH2EnsMChhU57kN3TYU19KuqVeLDMmW+yIv1jVSXQdsYCGwUAs9O7EdvGy84GXjBV9bX4R7hiPMIwxWQs2JU1MIJ20UFNChHufP07HzMTF0Ygl94POB8PDnQqp7d0CpJMKpVlTC6fS904grisO1tGuIy4pDekm63lnEbEQ2cLV0hZOFEyQCOguKKjDvxSwoqpsU9d8/JaXUmDlQZUSpUlZpLNVWX5pVZUQpl5ejour5+uXa4WvxZqc3a7WTDeFkZ2enc4anuqAoCllZWbhx4wZ+/PFHnD171uA+R40ahf3796v7v3//Pg4dOoSDBw8iMVH3JetWrVph9OjRGD16dI36KPkV+YzqLEj4EliLnq+KURSF6Oho7N+/HwcPHtQ59TCHw0FYWBhGjhyJYcOG6SU0VCgUCly+fBl79+7Fvn37kJamm+uhhYWFhoiysLDA/fv31W54d+/e1akfPp+Pfv36YezYsRg1ahTjGIlmJSTQzM7XlMKpqgrIyqKTN1y5Qq8OnTtHF8Q1hJdeoutAtW9f46XKqkrcTL+Ja2nXcDXtKuKz45FRkoESmX7HtBPbwdXSFY4WjuqMXGK+GEKeUKd7karQpIJSqO9D1e9F1e9DMoVM7V6kytCl4sDEAxjZdqRh75eemLNwyinLUX+219KuIbEgEZmlmXqlpOZyuHC2cIarlStsRbbqz1bMF0PAE2h8ri9+vi8KaLlSrjHe0Pb5ShVStRCoqKrQsLW+9yu1KFV9rlHPopBcmIys0iy9Bvx8Lh+ulq5wsXSBtchafT2rEiSohL7qXFXnq4RSLTBUIqP6uKpKWfV8XKXF7U2VaU51n2/t2BoP59XuNXHunKYQoCsPyVHFqYCCU4EqVELJkUMJGRQc2fNHjgwKyEBBAYpTBSXojeIooIQcFJR0bxwKAF3XiMulwOEq1WKQrm30vH4Rn8eDkM+DpYQHSwt6s7LgwdpSACcbK7jZW8PLxQq2YnpFjElW3s8+O40zZ5gXErOxyYGPj+7xlCo4HI5GmMeLj3K5BVJTfVFUZAculwuxWAyxWAyJRAKJRAyx+PmjQCDQej/l84G2bYvRuzcRTlpRCSfOEg4oEfNTH9pqKCZ0mAA3Kzf18qyFwEKdF1/EE6lna/QtNKYLFEWpv+xivhgWAota92VDOPF4PAwePFgnu5RKpdYVp4KCAhQWFursk68NR0dH+Pr6IigoCD179kT37t3Rpo32QEaKonDv3j0cPHgQBw8exPUXU/bVQVBQkFpEGVrAsaqqCpcuXcL+/ftx4MABnVfuBAIB+vXrh5EjR2L48OGsVnhXKpW4ceMG9uzZg7179+LJkyc6tbOwsIC3t7fObnhCoRCDBg3CuHHjMHz4cDg4OBhiNoBmJiTQzM7XEOFkYQGsXVvzeYp6XmBOJqMfi4qA9HTNLSuLuRvei/B4wIQJwOLFQGhorbstPrkYK6+sNGimemKHiRjeejhcrVxhJbRS34uq34dUW31uQExQxWuUy8thKbSEmN+wleXNVThVKavQ8Y+OiM/Wr3BwdYQ8IZb0WKIuh6H6fFWiuPrnqxJRbKNQKtSiwsWy9smunLIcBP4WiOwyhhknQSdaWtZrGQLsA2AvsYeV0AqWAsvn51ut7pBKRLGNXCFXC8baikID9OrLO+8wP45QSCcu0IYqPXf1hAkVFXSGOQXDRSehkE6gEBQEDBoEDB5MZ5vTlXfeeQe/GLLk9B/e3t6wsKh9vKpCqVRqeC/J5XKUlJSg0oDkPHw+H46OjvDx8YG3tzdatWqFyMhIdO3aFRKJhKw41YZKOKVmp+J2wW3cyriF1KJUpJfSBcsKKgpQWFmIwspCjZk0Q1EtB1dfGlYtCVdPOan1kSdSZ0OxFdvWeHS2cIa3rXetNyw2hBOXy0WnTp30aqOaEag+O6Dt/6rEEKpYJltbW43YJtXfbm5uBtUIycjIwOHDh3Ho0CGcOnWqzsxU1fHz88OoUaMwevRodO/eHTxe/bM1lZWVOHnyJPbv349Dhw4hLy9Pp2PZ29tj6NChGDFiBAYPHsxqHF5tqFIS7927F3v27NFZRNWGSCTCwIEDMW7cOAwdOpT1c2hWQgLsn6+5ofH+GyKcTI2FBdCrFzBqFDB6NJ22XAfyK/Jx4ekFxGbGatyLqm+VVQZm8qtG9fvPi65ZutyLLAQWWu9DtiJbuFq5wtPaEyJ+wxW+NVfhBNDXdmJBIs4n07V+UopTkFOWU+PzZcsFi8vhqt3vqn/Gun6+Yr4YVkIrrZ+tndgOHtYecLVyrVWgKSkl4rPjcfHpRSQVJCGlOAV55Xk1zpctl7bq7qQvXtd1XsfVrmdrkbXW87WX2MPT2hNOFk5af4MNFU7BwcDt2/q1oSjaezg5mV4Uf/ddw5J8njtHu6rpAlvC6eLFi+jRowfj9qqJ+PT0dDx48EA9bjGU8PBwXL9+nQgnbegTACatkqJIWoRyeblGFhN1MbFqz0mrpOpl7+pFyKpnR1G7OihpV4dyebnanzmrLAsZJRkG/aD42Pqgj18fDPIfhFeDXlV/2c3JVc9cKC0txcmTJ3Hw4EEcOXJEZ2Hj7OyMESNGYPTo0RgwYABEoucDhKKiIhw7dgz79+/XKz14ixYtMHLkSIwcORLdu3evs+6KNgwNoG0MVB/gEOHUtGiUwkksBjp0oKdvg4OBsDAgMlLnVOP6UllViaLKInX2rReLWqqeU82Uv3gPqv53dZc7VdtyeTlKZCUokZYgqywLmaV6VDDXQoB9APr69cWQVkMwut1olt4F7ZizcNLJBopCmbwMRZVFNT7PFz/jyqpKDRe7F/9+cZyhuiaqZ15LK07Tqb5gbQi4AnRy74S+fn0xKWhSjXqJ9aGklCiR0rZUd5Wr7dy1XcfawhlU514hr1DHThVWFiK1OBXl8nLG52shsECEZwT6+vXFlJAp8LWji0kaKpxatQJ27tT+mirbXPWtouJ5Qdj0dLqsy4ULuh+Pz6dXnFq0oH+uXnutzsXwGrAlnM6ePauTcHrRc0m14qSKl09PT8f9+/dx9OhRxMXFGWSTs7Mzhg0bho0bN5ICuHUx5+gc2Nvaw1JgCUuhpXpJ2FJoqfapVcUtqf5vLbKGI8+xxsyGgCvQ2QWCoijIFDIN//CCigJklmYiNjMWn53/jFEsDQCkFKXgZOJJcDlcjO8w3mipr5sCVlZWalc8hUKBK1euqOOiHj16VGu7nJwcrF+/HuvXr4eVlRWGDBmCLl264PTp0zh9+jTkcrlOxw8PD8eIESMwcuRIdOjQwaDBMds3f3PPZEQgGA1LS8DGht6srelHBwe6IIiXF53nNjCQ9nHRoVxCfaQWpeLTc5+q7z0v3o+qx85Wvy/ZiGzgaOGoEdiu+rt6EqK6oChKPdBU3Y/yK/KRWZqJq2lX8e2lbxlP5CUWJEKulEPMF2NU21FNXvzXxsEHB3Ek4Yj6s7USWml8ztU/1+pjDgeJg8ZnWj3rmq6frZJSasSilcvLkVOeg4ySDGyM3Yh/Hv/D6JzkSjlupN+ATCFDoEughnD64+YfiM6I1notqzLLabuerYRWNa5j1cqZPudbfVxVJitTT0ivvLoS0RnRjM63XF6Oy6mXIVVI0dO3p1o4GcqjR3SqbDYRCOh03J6e9E9Wq1Z0re2ICPoni2sGtXD79u3boMfj8/lq7yUbGxsNV72WLVuia9euCAgIQElJCTZu3Khbn0a22WyJyYiBPFeudXaDKergzGrBi6oEEKqARaa8+CNkJbSCvcQe7lbu8LD2QCuHVujh0wN+dn41fmgGhQxCgY9hq0UioQgxG2PgFekFp7bal64NIeVyCjJjmM1ycrgcdHm7C+Nj83g89OzZEz179sSKFSvw4MEDtYi6du1arSsSpaWl6mxy9SESidC/f391cgcPDw/G9hKaDzt2ACNHGl+I8vn0xuPV/bdEQhcTVG329s//dnCgiw8awm2X/igONywrG8XhgsPnw7GDCzzCvWHr7wiO6iRUJ1L9bysrWiBZWdHP1UNaVBoujWPuGjJo5SA4tKRj/aQKKa4/u67Vm4GNe1H1+9GLiQKY9qtNBDhaOMLDygPu1u5o49gGPXx6wNu2Zs2niRMn6uwirSsjUX8yCg6HAy6XW2ObMWMGLC0tYWFhobG9+Jy9vT1cXV3h7Oysl0dAdlk2Lqde1rpyZMh4oHoyCNVnrErwoaSUjAUvj8NTx1GpxhtWQiu4WLqoxxqd3Dsh0isSNqKas/IpRSm4kHKhhldOZVWlQd40NRJgcDjqczXkfAVcgdbzdbNyg7uVO7xsvBDuGY7OHp1Zj91r1QrYu1fzueorTXL587imwkLg2TM6NfeDB0B0tPb6RnI5kJJCb1dfqKnr5kaLqNBQWkhFRtL1Lxt6TuO9996rkXyrLlT1QLWFfmh7ztraGjY2NmqhJBaLWR+vNlvh5PnPNQgENb/4FJRQcmSgOHIoubLnf3NkUHJlABRQcqoAjkKdFYXi/PcICvhvozgUuFwluDwKHA6lTotJpwF9nhmFy+FBLOKqs6DQGVG4sLEUwtHaCq72VmjhJYGnBxdiht/b9rfbo+ipfhkDtXHo9CEAgIWTBXx6+MCnJ725d3QHl2/YVMbDgw9x5fsrjNpyBVwN4cSa69pgAN0BME8kQ8MBpO5SHBMdw7GMY4CW+HV9Ias6zYOHD4GDB01the7Y29Mzm2FhwJAhdHFqfcISH2fbIf46SzFxl4uBP+/CxtsGAYMD0PKllvDv7w+xnWEDoNKMUjw8qHuNshfptayX+u+fPm0Jn0TtyQMoKOisXNzn9yCKI3v+3H+ZuMD5754EhdZ7EbhKcDgUuDw6OxeXoyp7Qd9/eFzuf1m6eJCIeLCw4MJSQt+PrCx56nuRmwN9L/Lw4DD2SDxy5AjKy5m7TZkDjo6O8PPzQ8uWLdXB5b17965R9y4nB9j/8Uz4YabWfpQc+X+fq+ZnS6nHHaoxhuozVag/b/rzVYLi0OMLLleVeQ3qVOMvjjX4PB4sxFyNrGuWFlzYW1nA0doKXi6W8PUSwsWFw2hlIiYGiPlhOVpgeY3XKFDqc60+nnp+Xcv/O1/VeOqFc64+ruJQ4PyXZU51fnS6cc3zFvCeZ5izlDwfY9lbWcLRxhK+7vT5Ojg0vHgA6EmooCBmbauqgPh42lXv/Hl6qy/aIDOT3s6ff/6cl9fzlNx9+tC/3cZ+L8aMGWNQjJM50GyF06lTtb3CBSD+b9NOp060WtfGi76pVVVAeRmd0bawEEhMZJ4xt0MH+uJ+6SVg2DBmfbBBeW45Hhx4gAcHHgAABJYCeHf1VgsprwgvCCz0i9NhE+K6RiDQ9OgBHDqk/TVV5iZV1Xa5HCgro3+f8vLorNz79tWcuayLggK6WOGNG8Dvv9OV3C9epGc6TUVxajFi1sUgZl0MODwOvCK91ELKI8wDHK7p3MguX6YHnNrh/bfVfi/q3h0ICdH+mrZ7UVkxfS8qKAAeP6bjJfSFw6Fnrfv0oe9D/frp34ch+Pv746YONbUoioJCoYBcLlfHSFRUVCA/Px+5ubnIzc1FUlISzp49q1fG1by8POTl5eHWrVvq5wQCAXr06IFvvvkGERERAOig/X/q9IYT/LfVzmuv0Yuh2lBlXVNtMhlQWkqvUGTn0K5gOnqOa2BhAXTrRn++EyfqnnktL6+u8+UAEP631bIHB5gzp/b+X8wyJ5U+P99nmfTYSt96PgC9Wt6rF32+r74KuLrq30dDw+fT38HQUDpBhFIJ3LtHJ3tQCakcHSZ809KArVvpDaDd/FRCqndvoG1b04hKc6fZCidDePll4KuvmLWVy4Gvv6aL0OvL3bv0DPSzZ3QqST1zCDCi7ei2CJ0WiqcXnyLlYgoybmVAWaX56yQvkyPpVBKSTiUBoFeAPMI81ELKp7sPJA4S4xtLIBA0EAjoVSAmUBRdJLB/f3qwwoQePZgfX1+sPazRdVFXPD7+GE8vPIVCWjNTGaWgkHo5FamXU3Huk3OQOEoQMCiAFlKDW8LKzUpLz+bL+PHA/PnM2spkwPvvAz//rF87iqLF3r179GC5b9+GHVzxeDzYs3hRFRYWYsqUKTh8+DDjPuRyOc6ePYv58+fj2rVrrNn25Ze0OxUT8vLowa+OZfbUlJfTE8vx8bSI0CdltSEIBMCaNczbJybSLmg65nlSU1hITy7duwe0a0dPTOtCJ24MPrG7qLedKrgpFFY40m6rjq0d4dXNCz7dfeDdzVvv3yEulw69DAwE5s2jv6P5+UB5XjnWRazTvaMKAMeBjOPADgAvfdUdXeeGAQAG8gfCwc7wciKXRl1CYnAivLt5w7ubN7y6ekFiz874MPVqKrYPY5ZcqJLSPT0hEU4MOHCATgepDW3ZUMrK6FmRoiLaR1XbLJBE8jweWbXZ2QEeHs83f396hqGhBiIAILIRoc2INmgzgp4ylpXJ8CzqGZ5eoIVU2rU0yMs1T0gpVyLtWhrSrqWp3e9cAl3UQsq3py9svIyfZru5o0pEUiorRZm8TJ1pqExWpn6uQl5Ro0K7ofxw5Ydq7hN0dXZV2tgXq7dXDwYW8oSQ8CUIcatlCt1ImGPgOluZ/hITgaVLazvG8xlcuZx+LC19vuL05Ald2kgXLC3pbE0BAfTWrt1z14+GQmApQNeFXdF1YVfIy+VIPp+MxBOJeHz8MfIeah9NVeRVIH57POK30+5yriGuaPlSSwQMDoBPdx/whPoXimxINm+mV/e08eKKRPV7UWEhfQ/TJogtLGrei+ztNe9FAQH0vagBqiXUoLS0FIdqW0atBkVR6pUm1WNlZaV6xSgnJwdJSUm4desWZDLdC9K+CJfLRXh4OAYPHox3332XcT/aWLCADr17kep1fqrHxJSU0Ft2Np15TRu2ts/znqg+Xycnzc+3XTt6EM5C/hOdkcvpFTZtaDtfmYy+lktKgIwM7SssXC49jlKdp5UV/ejq+vxcPT1pbx59V1f4Sjm4hYbFjqvClFTjpWuraNFt18IOPt194NXNC97dvOES6AIuT3f/SQ4HcHQExErKIBs5Vc/HdvwqPriFhmeXkEKK5LPJSD6brH7Oub2zhnB0aOXA6L6srFKiIp9ZGaFKEOFkVITCmj9m1b/UAL1Mr3LPe/as/gFIRQV9sauWmiUS+ksvENA/cO7uQOvW9I+AKRFaCtGiXwu06EdXblPIFciIzkDKxRR6u5Si9cLNjs9Gdnw2bv5Gu1jY+dlpCClzTwltzhRLi3Ez/SZuPLuBmxk38bTwKbLKspBVmgWpQvdAbCuhFZwtnBHsGqzOfCTiicDn8tXBuarAXHW19v8Cc6sHnR9PPK6u1K6q3F5bGuQKeYVGYK+DxAF5i/WcMiTUSkoKvcLNJmIxPQvu50cPoIOD6d+mgADaZ94cdKjAQoBWL7dCq5dbAQAKkwvx+MRjJB5PRNLpJMhKtA+Us25nIet2Fi5/dxlCKyH8+vqphZRDgOGzrWxT171IJYqq34vS0up34Skvf34v4nBoIcXl0seytaUHm23amEY0AXQ9vpEj608IwSaWlpZwdXVVb9VjnDp37sxKYW/tx9X8fF8sjEpRtBguKQFyc+nve31VMEpLn/fD49H9c7n0mMPBAfD1pRMXNKRoUvHitVzdnVg1viovfy4OU1Jol73aUCrpfVXvGZ9PX7dcLn1dOzrSE9L+/g3/uxUyNQRZcfTvDaXUHP8UPilE4ZNCxG2h02wLrYXwiqRFlHd3b3hFeEFk03C10gyFL+Yj8NVApF5O1TqJlXMvBzn3chCzjvZbtnCyoFej/hOOHp09IJCYLvzjRYhwYsCQIfq76lVW0m52sbHAzZt03EBsrGYV6PJyesvJof3PteHiQgded+1Kb+HhpruBAQBPwINXhBe8IrzQ7f1uoJQUcu7nqIXU04tPUZxas2ZEYXIhCpMLEbeZ/mEwZZxBY6ZcXo5Of3RCYkEi4z4sBBbq6vR2Yjt1pixVtfbqlen1SRGrC6pVMVXaXGlV3UKvmHn5kWZJeDiwaZPmcxRFD0RUK02qVabcXDqu6cED+jcqI0N7n5WV9D4PHtR8zdGRXono0QMYMIB2nWkIl+L6sPOzQ+fZndF5dmco5AqkXU1TC6mMaO0nKiuVIeFwAhIOJwAAHFo6IGBwAPhi87ltTpyov6teeTlw/77mvejOHc34kLIyesvOBhIStPfj4QF07vz8XtS5s36JQJji6OiIJUuW6NVGW0Y9DocDsVisNate9U0ikUBopPpc9bF8uX6uehRFrxbHxdHulNev059vaurzfRQK+ne0uLj2VSkulxbH4eHPP98OHXRKOskYgYCOi9QHiqLPQXW+UVF0Ydjc3Of7yOX0pIFq4qC2YwcG0r9XqvM1dqKEgd//f3vnHR9Fmf/xz2wvyaZ3kpBQkgAJLQmhSzkVBaOnUk4F8efpeXhnO89y56nXbFc8FfXwTrAHBQUOUZROQieU0EJJICG9J9vLzO+PJzPZzW6yNSTA887rec3uZGb2efZ5dub5Pt/2E6ij1DB1mFB1oAqVeypxec9lVO6thKnN8Tlo7jCj7McylP1I3CHAADGZMQ5amtCU0AFpPQGQhaz8/5LFDn2jHpf3XUblHmIyXXWgClajo+pb36hH6YZSlG4gQXhEUhHixsUJgmPipEQExwVf8XbwDJwnwDWOQkGceEePBpYsIft0uq4H1969zj94V9TXEwdM3gmTYcgPftKkrh/8sGH9t+rLiBhEj4xG9MhoZP8iGwDQeqlVEKIqdleg8bRzI7uvuAQalmPRYmhBq7EVOosOOrPOYau36KEz62CwGmBlrUJoVxtnw3NTnhNCn/LmbPxrod12uVPsw8SKGBGe/uFpwXSNN1kjkY4kzuZrLnKE3Tz0ZsglrleXVFIVzv3qHMpaylBUWYSyljJUtlWiydCENlMb2oxtDltXOcL0Fj1e2P6CV9+nmBE7CFJSMdnKxXKHDPX8a5lYJmRsl4llCJYFQyPXOJUQeQgMVgMGaQYhSOZso0LG/cDSTiqVjmZNfNFoyOQyMZGYvkybRo69kqjVxATFWziOTJi3bAE2biTJFj2xZmpqArZuJeXll8kK8s03A/PmkQWnyEjv6xJoxFIxkqclI3laMmb9ZRa0dVqU/VhGzPo2n4e+wXXUt+bzzWg+72NknwGESkUW38aPB/7v/8i+jg4yyd6zp+t51Nra+3Wqq4lvCG81JxaT5xv/HJo4kZhvBvpZFB4ejqeeeiqwF71GYBjyG5s50zFox+XLjvOM4uLeA0ewLBGuT5/uWngJDnYULPLyrqzbgCsYhpjaJSQQ33OA3LsuXOgay3v2EH+t3gJHWCydUQGPdAlvkZGOYzknp28WBuTBcqTOSkXqrFRSf5ZDw6kGQbCo3FPpfN/hQLRVx+tw+H0SpCQoNshBSxM3zr+0Dn2FKlKF4XOHY/jc4QAAm9mG2mO1Xe0tqkRHdYfDOayFRdX+KlTtr8K+f3aZM/J+UomTiTnjleK6FZzS0pZB7GOC2G+/bcCWLfVen8cwjEP8+e5l6lQJjMZ4WCyhkEgkUCqVPa6GqdVqhISEICoqCiqVSviM5mZy0xgypOuBlfmzTOibfAsBmzjROReHt4QmhyI0ORRZ95JEefpGPSoKK1C5pxLGNs/tSnuiu+3v2aazKKwoRHFNMYprilHeWo4GXYODoOOOSFUkBocORqQqEhq5BnKx3MF0jU802d10jQMnJOPjwMHG2mBhLbBa7EzX7DKh8xnPea0Ln+mdz31hsBhw4dcXECWJ6rGuDMNgSPgQDAnvPTcCx3FCLhE+2zq/5T+b32efod3V1r7efK4O3o+q3dSOqo4qHK877pWpYHeGRwzH1KSpeGDsA5iUOMnn69gTFgZ8/nnP/7c3C7FaiXaF90+sqCD+JMXd8igaDKTUu7klyOVEeHrjjZ4joQ0UGIasOKelAcuWkYn1Dz+QSfK333rugK3VAmvWkCISkQWe224jpT8j7dkTFBOErHuzkHVvFjiWQ+3RWpz//jwubL6Ayj2VTsFwAsmgQb+HydSDas8DPvqoFl984b1pK8MwLp9DEokEMpkYM2ZIoNcPgs0WDIlEYvfcUUGlUjs9i0JDQxEVFQWFXc6M+nrS58nJA8N880rDcXUYMeJ5v64xf/5ZiETeh8azz33TvX/j4sS49VYFtNpkMIwMUqkUarW6x75Vq9UIDw9HREQEJHb2e2fPkt8w7z4gEh3GiBHv+txWhgHy8ryMZNGJq3byr1NTxRg8WA29PhkikQQymcxpXsW3nW9vREQEwsLCILZTsZ0+DYwYQRYe+hJGxCB6VDSiR0Vj/EMkMIOuXkcEi85SfajaKfiNtlaL01+fxumvT5PvRC5GTObADxEolomRkJOAhJwE5D2WB47j0F7ZjoqiCkELV3usFpzNtTljyWclAABZkAxhqVdGkr9uBafS0k/9vsbjjz/ulLvBFSzLwmazwWq1CuFROzo60N7ejra2NlRXV6OsrAwWX2KHAggODkZaWhqmTJmCqVOnYsiQqWCYron27Fdm+3RdAMAKAEudd/vjk6SKVCH99nSk3+7DUrgbOI7Dv/b9C99f+B5lLWU+XUPEiDAzZSYGhwxGuDIcKqlKyPLOZ3C3D2zQPeCBvfbI3tSNL2JRYO0d/rXvX/j6zNdCkmSVVCVkaldJVVBKlJBL5ILfEl/4TPT22i2NXAOJUuIywSIDximJpo2zOQh5fHb6Om0dNp7b6HO2dgCQiCTgOA5SUeBsvRQKz6MmdUerJaG1773Xt5QCLEsEN2+0TimpNkyfRYRpmw+xdmPTDLjUymGQZpBf4y44GLjzTlKsVrKS+806Gw4fI/3Oeng/MABY/T9SBg8x4647ZLj9pggo5GTxIzIzEnH1ccT3zct7jDhGjKKKIqSGpSI2KNYnsxVGxCBuXBzixsVh6vNTYWo3oXxbOc5/fx7NF5thsJBFDV/uf1KxFEqpErLgrgW7y5c34dSpHuORe8zvfvc7j9rLsqzwHLLZbDCbzQ7PosuXL6O8vBw2m+eLTPaEhoYiIyNDeBalpU0Bw3RNZm6YeQNada0w28w+fYdyiRxDkj1PnukpHMehxdiCspYyNOi8T9zHMAzig+OREpqCYHlw5z4zTp360O+6DR06FAsXLnR7HMdxDv1rtVphNBrR0dGBtrY2tLS04OLFi6jpyQbXDQzDIDY2FuPGjRMSxqtU2eBDjLNsS0Dam5eXh9mz3c9Z+HDzfFv59vJjmQ/+0eRtmL1OxGIxBg0ahNzcXEydOhVTpkyBXJ4FkiLgyqKOVjvMmawmK2qKawTBoqKoAro6R+c2m8mG6kM92GIOYBiGQUhSCDKTMpG5iCS6MmvNgjlj5Z5KXN57GcZWx0V3s9aMuuMeRjPyt47cAPDKX758Od544w3U1tZi9OjRePvtt5Gbm+vy2A8++AAff/wxTpwgUZDGjx+Pv/71rz0e35329naE+JvevpPa2lrEBCjov1arxYMPPojVq1f7fa24uDhcvHhRsMvuC7vXATBs3FKnrcOFlguoaq9Co74R7aZ2tJva0WZqE7Ydpg4HzQuvQekeyMCViZuviBmxgyAll8ihkqoQLAtGsJyYsNmbsvFZ20dFj8KIqBFOE+C1p9bi+/Pfw2hz1Brx2iV7TZHZZnbQHtlH07NxNlhZK2ysDZ5mYmfAOJghihiRy/dKiVLwnXLaStVCdvrYoFjEBcchKyYLoYpQp89bvRrwYA7RI1Ip0Xq4orsjMq9xamsjpSena7GYBG+JiCDmeRoNcaKPiyNmeoMGET+FkSPhcxJrlmNRp61DeWs5ylvKcbH1Innd+b6iraJXjapUJEVyaDJSw1KREpqC1LBUh9dhSueVOo7j0KBvQFlLmVDKW8pR1kpeX26/DJbrWZiTiWUYHDoYKaEpwjYlLEXYRigjerw32VgbqjqqUN5C2ii0t/N9VXtVr2NUIVEIbbNvb2pYKlLCUlyagbIci+qOatJGvs2tZcL7Gm3vE06VVCW0bXDIYIe2Dg4d7HI8jxs3Dkd6TuTkMTabDSJfspa6oLW1FQsWLMAPP/zg97VGjBiBEydOOPWzwWLApbZLPfZvs6H3lYlwZbhzv3a+TwpJglTsvNhisppwqe2Sy7Fc1lKGdlPvDpSRqkiHMWw/ppNDkp3MqSsrK5GUlOThN9Uzc+fO9StUuj0cx6GkpASzZs1Cozu/AA949tln8corrwAAtmzZgp/85Cd+X/M3v/kN3njjDb+vA5CFgi1btmDevHl+RU7kWbVqFZZ0+lqcWXcGB972PP9Xd+avne93Mm4ejuPQWt4qCBY9RRH1lpxlOcj4aQYAYP/b+1G6zrfE33KNHAu+WRCQOgEQfOl5wbGtwoeEdN0wWA34xa5foK2tDRo3gQP6XXBavXo1Fi9ejPfffx8TJkzAm2++ia+++gqlpaWIjna2WbznnnswefJkTJo0CQqFAq+99hq++eYbnDx5EgkJCW4/L5CC08MPPwy1G6NXfhWoJ41Te3s7qqqqcLknr0U3MAyDmJgYpKWlCatAEydORHBwsMMxgWYgC05tRiIY8doXuVju93fAcZxgZsdHirMXQMw2syCY8GZ3eoteMF+r1dZi56Wd+OGCf5MRjVyDJ/KewEs3vASAOMXm5Ph1yR7hOrO1g89ML+YglrCdwhBfGIjFxCRHLCZRi1Qq4tuiVjuXqCgiUAweTOrtgcLWAX8FJ4UCWLSoWzvtUghYrcR5njfPq672LJEgQEzxNBoS6jY2lghMvLnb6NF94+/BY2WtqGqv6lGwqu6o7lXQCFWEChNPC2sRJpN6S88mvmJGjMSQxK4JZLdJZVxwHERMYCbz3THbzKhoq+hx4l2v691uMkoVhdSwVAwOHYx2UzvKWspwsfVir6alMrEMySHJPQpGUaoor+8zgRKcnnjiCbef3dOziH8O8RonXzUSIpEIcXFxyMjIEJ5FEyZMcDAl95R2Uzvp05auMXyxreu91qztuR6MCImaREHzWNVRhbKWMrfCtkau6VXwdSVs90agBKeUlBTccccdbo/jNTD2GieTyST0bWtrK8rLy9HuY4QdhUKBQYMGYfz48YJGcdSoUYI5W6AEp/Hjx2P69Oluj+PDzdu32WAwCO1tbm5GWVkZDAbfwlMHBQUhMTEREyZMEMbz0KFDHX5ngZ5bDeR51bU+j+Rlg6tCcJowYQJycnLwzjvvACArBImJifjVr36FZ5991u35NpsNYWFheOedd7B48WK3xwdScJo8ebJX0XZEIlGvPk72+yUSCYKCgqDRaBAcHOxUNBoNwsPDERsbC6mbsFXX+oDvzorDK/DwxoeF9wyYLrM1qVLwVVJIFEIQAwfTNfugB3ZR5ASzNTvfJt5kjfdrsnE2QXDiI8U1G5pRr6vHxdaLXmuueI3TyKiRyInPQU5CDvIG5UEjJz/sY8dIFDN/2LSpZ7ttV7kz+PC39fUkstratZ4FDuiOWAyMHQs8/zzgwbwAgP+CU1xcz5GkekKnIxExDx0iDvS7dgHnznn/2VFRxLl66lSSmHLcuCsXcc5kNRFBo7UcW8q24I09vq3ovvGTNzAubhxSQlMwSDPI5cr+QEBv0QsT7y9OfIHPSj7z+hpiRoyV+SuJYBiWgvjg+IALgoESnG644Qav7vO9+cB03yeVSl0+g+xLVFQUYmJiHHxC+gqO49BkaBL696WdL+FUwymvrzMubhyen/K80L9hirCAPisDJTiFh4djtJdOkT31pat9crm813lGcHAwYmNjERbW+/cTKMEpMTERQ71IAMf7jrtrJ79PoVD02l6NRoO4uDi3k2f+swPJQJ5XXevzSG8Ep371cTKbzTh8+LBDaFGRSITZs2dj7969Hl1Dr9fDYrH0mEfBZDLBZBfo39fVFlesXbs2YKZ6lMBgtVrRUtiCZzXPwgorrJzVcWu1wma1gUVnhLzOP5ZjYYUVZpjBolMQsvvjgz4AcFi15F+L0BlFTyQS8h6JRWJIGAliRbFIECUgJzIHYpGYmK5JlQhRhSBEGYLQoFCEB4UjPJiUYEUw1FI1wpXhUEr7PgxbRkbvSRbthSf7JIuRkUSDEhLiuVYGINqpmBgS7W327L7TmAUKtZoIOePGAQ89RPZVVwM7d5KyYwcRrNzR0EAi1G3c2HXdyZNJotjp00k4576KeiyXyDEsYhiGRQyDXCz3WXC6e8TdSA5NDnDtAo9KqsKIqBEYETUCl9sv+yQ4SUQS3Df6vj6oXeDZunVrwEz1BjoMwyBSFYlIVSSy47Ox8uhKnwSnoeFDceeIO/ughoFl0qRJATPVuxpYsGBBwEz1KJS+oF8Fp8bGRthsNifhIyYmBmdcJQlxwTPPPIP4+PgenQlfeeUVvPzyy37XlXJ1YLVa8ezj7jWV7tBoNJgwYQLx4enFGdTe/MVsM8NqtcJsNkOr1UKr1aKtrQ06dxkJu6FUKhEUFITIyEjExsYiNjYWo0aNQm5uLrKzsxEa4CzIKSkBvZyQtTwmhpSkpC4fn9xcEjrW14XpjAyiofIVOwtWv4iPJyZ/vNlfbS0RokpKiMDpDVotiVS3fTvxv8rL6wogYTQacfjwYRQWFuLSpUseX1MqlSI7OxvTpk1DcrKjoDM0fCiW37Lcu0p2Eq50XKDiOA5nz57Frl27cOzYMbBeBLDgA9qMHj1aiNbV0dGB/fv3o7CwEPXuwhTaoVKpkJeXh6lTpzo9T6YkTfGpvWLGeZDabDaUlJRg165dHj+jALIgOHr0aEyePBnp6enXjZDTncuXL6OoqAgHDhzwyoQqNjYW06ZNw4QJE6DsFl3llzm/xNzhc72uy9BwZ62GTqfDvn37sGvXLjR4sRqkVquRl5eHyZMnIzY21uu6UCiUq4d+NdWrrq5GQkIC9uzZg4kTJwr7f/vb32Lnzp3Yv39/r+e/+uqreP3117Fjxw5kZWW5PMaVxikxMRFPJz4Nuci/zMvRqmjEZcUhPjse8TnxiBsXB3lwYLI5n1pzCluf3+rz+Yu3LkZIIjFJHKhJ0QIJP4yNRqPTg9UXJkyYgH379vl9HYA4W5eUlGDRokWoqqry+3pPPfUU/va3vwEIjKnehQs9Z6fnzfO02q7s9JcvAxcvAidPEh+r2lrPP0skIr4/w4cTv5+sLKJpSU8n//MEf4dzX9/xAvFzc1XHiooKFBUVobCwEIWFhSgpKfHI1CEpKQlTp07FtGnTMG3aNKSlpfl8T7AXHHbv3o1du3Z5JOBIJBLBN2Ly5MmYPHmySx9WHo7jcO7cOaGthYWFOOehfWRaWhqmTZsmtLm74OgNvFXErl27sGvXLhQWFnpktaBUKjFhwgRMmTIFU6ZMQV5enksT8bdvfBv1Z71PbdGduKA4xI6JRXxOPBJyEhA7JhZSVWDMKA+vOIw9f9vj8/kPFz8MWZCjKtVkMqG4uBiFhYXCmPYk+plUKkVOTo4wlidNmuSX6X1LSwuKioqE/j18+DCsVvfm1NHR0Zg6dSomT56MKVOmYMyYMU4m880VzfjntH/6XDcemUiGuOiueUZCTgIi0iKc0nD4ypoFa1BzxDe/tkF5g3DHx8TOunRrKT79P/+jFStFSsQnxTu0N5DJXT/I+cDnNCiZP8vEDS/dILynpnr+MZDae9WY6kVGRkIsFqOuzjGEYF1dndtVm7/97W949dVXsWXLlh6FJgCQy+WQy52FGXGlGBI/m9+MZjSfbsbJ1Z25BxggKiNK+MHH58QjdnSsT5nmTe0mNJ/zPdkia+m73CPXA5cuXfIoyaJ9SFS+8ME/tFot2tvbUVFRgerqaq9vEgzDCFonXuOUm5uLsWPH+tosl0RF+aeJqaoi+Y0OHCDl4EESXMEVLEvyIVVUkOSqPMHBRIDKzSWme7m5RMC6DmR+j0lKSkJSUhIWdaq5WltbsXfvXmHiuX//fhiNzhOCiooKfPbZZ/jsM2KuFhUV5SBIZWVl9eibYrFYnASHtjb3EYyCg4MxadIkQXDIzc31KkgAwzAYPnw4hg8fjgceeAAAeS7wbS0qKkJxcbHLSW5paSlKS0vxwQcfACDfm70g1ZvgqNfrsW/fPkEo3Lt3r0eakaioKGESPWXKFIwdO9Yj/1dZowySS/4/hhvQgIaTDUJOE0ZMEpHH53RNQGMyYyCWea/qNbQY/HoWubrvyeVyTJw4ERMnTsTTTz8NjuNQWlrqIChfuHDB6TyLxYI9e/Zgz549ePXVVwVNHj+Wp0yZ0qtAXltbK/Tt7t27cfz4cY/uy7x2lC9DhgxxO5EUM+KA9C0LFlXlJPknjyxIhrhxccI8Iz47HmGpvvlotVW2+dy/mkFdE0wpJw1Iey2w4FL5JVza2aVhV4YrHeZV8dnx0CS490FyRfOFZhhbfBOcdPXeWY9Qrk0GRHCI3NxcvP322wBIcIikpCQ8+uijPQaHeP311/GXv/wFmzdvRl5enlefx0uVz+JZKOB9KMiwIWEY+39jUX2wGtWHqtFe2fvqo0giQnRmtLByEp8dj6iRURBLe3+AHfnwCDb83wav68fz6wu/DngysKthxSFQGqeoqCjcfvvtXp1j74jKBwLpXvj9MpkMQUFBCAoKglqtFl7b7wsPD3cb+OPccT1e+FWr7w0F8ItbKiCXclBFqhA3Lg6R6ZEQSXxfzWRZkhzxwAFiumazAfUn62E1ehcYI1JjwYgkLSZMk2L8guHC/utBmPLlZ2E2m4VVfL54soqv0WgwefJkQbgwm83CxHLv3r3Q690nz05ISHCYWGZmZvZ5oACdTocDBw4Ibd2zZw+02p6jrfFERUUJbZ08eTLq6+sFwfDQoUMe5dMbNmyYQ3uHDRvm0/3x3+P+jdojXqhs7YgdE4v0n6aTZ9HBamhre2+7WCZG7JhYxGXHkWdRTjz5rbvRXBS+Voitz/pu/fBs+7M+WWLU1NQ4aFiPHj3qUX6p9PR0oX+zsrJw7NgxoX/Pnj3r9nx77SivIY2K6jkBeU+0VbbhzaQ3vT6PZ/Ti0VBGKlF9sBo1xTWw6Hofl7xwYd+/nggX/530X1ze61tU38EzBmPJNhKeu2xLGT75ySc+XQcAJv5mIiw6C6oPVaPuWB1s5t77OiguCAk5CV3tzY6HKtL94sxr4a/5LDhlP5KNW9+9VXh/rVvz2M/PrvW28gx4jRMAPPnkk1iyZAmys7ORm5uLN998EzqdDkuXkqyrixcvRkJCgpAr4LXXXsMf/vAHfP755xg8eDBqO+2E+AlnX6OKVGHqc1OF99paLaoPVaPqYBVqDtWg6mAV9A1dEw3WyqL2SC1qj9SieAVJBipRSBA7NtZR9T48Aozo+hiYVwOpqalYsWJFf1fDLcFcOzJ2feDXNXbucnwvUUgQkxWD2HGxJBno2DhEj4r2WHMqEhHTu3S7/MbvpH2JprPe55ZoAFBWP8JBcKK4RiaTIS8vD3l5efjNb34jrOLbTz7Pnz/vdF57ezu+++47fPfddx5/1qhRoxwEh6SkpCv+YFWr1ZgxYwZmzJgBgPg3lpSUOAiO1S5CKDY0NGDt2rVYu3atR58jkUgwduxYh4n0QAgKpBmkwfQXSNhmjuPQUd2B6oPkWcQv7NlPEG1mG6oOVKHqQBUO4RAAQKqWdmkussmzKGxIYKPL+UpcXBzuuusu3HXXXQBIrkPe/62wsBB79+516T965swZnDlzxuP7t0ajcdCO5uTk+BRCPdAkTU3CuAfHAQBYG4vG043CXKP6oLNwYWg24MIPF3Dhhy5NXVBckMM8w1Phoj9Iz09H0hQShdBqsqK+pJ609RBZGGg42QCO7ZrIa2u0KN1QitINXZF5QlNCHdobNy4Ock1g3CdcEaiF36vB5C+Q1xyI7fUm4na/C04LFixAQ0MD/vCHP6C2thZjxozB999/LzyYKioqHBxp33vvPZjNZuFmyvPiiy/ipZdeupJVBwAExQZh+NzhGD6XTOw4jkNbRZvw4OK3pvYuPyur0YrLey87rPLIgmWIH9+lhm6vClz0v+sJkUiEmTNn+n2djIyMANRm4DMobxBM7SY0nmkUHkpWo1WYYPGIJCJEjYxC3Ng4QaCKHR3r5LtwNXA1+Dg5XO/lAFxwcGfRA3CvUOkdOXBCcQIncALvn38fcJbFvIJ70W5VMxBtBYARADIAaAH4abVsVVpxUHYQB3EQ/yz5J1Di3/Xs2xsoGIaBJkEDTYIG6beTFQuO49BS1iIIUzWHalB9uNpBc2HRWVCxuwIVuyuEfYpQhYNZVCDNk4YPB3xMqwMgCAwzCwwzCwAQHm5FSEiXbw7HkcIwZPGm+5YvDNO1Ty5noNHEgePEOHiQaMhXriT53oKCgPBwEj00LY0Et4mM9P878AWRWIToUdGIHhWNMfePAUAE4bqSOgdh2ZVwcfZ/Z3H2f12attDBoQ4mnN5aAlwJJHIJqV92vLDPrDOj9kitMK+qOljlZGLYWt6K1vJWnPqqM8oiA0SmRTq01/77oVB8od8FJwB49NFH8eijj7r8344dOxzeX7x4se8r5AcMwyA0ORShyaEYcdcIACTLcdO5pi5B6mA1ao7UwGroumGZO8y4uOMiLu642E81vzaQyWTYtm2b39fZtm0bli/visQ1kJwYA8mk305Cxh0ZMOvMqDteh5riGtQeqUVNcQ3qT9QLvnKslUXdsTrUHasDVnWezAARwyOIEDW2SzulDO/7EOrXE4GeaPsrnPTFxL8vrz2Q29uXMAyD8CHhCB8SjlELRwHo1FycaXRY2Ks9WuuguTC2GlG2pQxlW8oCXqeqKpJg2le++w64+Wb+nQRAosP/eeGJZUkya6ORCGodHSSYzZ//DBQX+/bZYWHAc88BTz/te/0DiVgmJout4+OR/YtsAIBFb0HNkRphnlF9qNpJ0996sRWtF+2Ei6sEmVqGpClJglYKIGO1+nC1Q3vbKux8MDmg8UwjGs804vgnx/uh1pRrkQEhOF3rMCIGkWmRiEyLRNY9JJAFa2XRcKqhy6ziYDXqjteBtdKgDpQrj0wtQ+LERCRO7JqI2Mw21J+sR01xjSBQ1R6t7RL4OaCptAlNpU048cUJ4byQ5BAiRNkJVBQKpf8RiUWIHhmN6JEuNBd2C3v1J+vB2QaewPjooyRvnCvs8865Epx60nSpVEQoCg0lgXJiY0nKhPR0IDmZaJ2Sk0mKhQFgwdgrUpUUSZOTkDS5B+Gis48dhIurGEWoAqmzUpE6K1XYp63TOlj7VB+spkEdKAGl34NDXGl4O0YllGDg/V2QBQsjnB0LA/E1Wk1WmDvMfl8HABRhioCFK+W5GoJDAFdPPQNB7bFa/HvMv30+f/7X85Fxh+dmiayNRVNpE2qOdApTxbWoOVIDU5vJ/ck+MuKuEbj7q7vJ53MsGvWNqGqvQlVHFaraq1DdUU1ed1ShXlffa19JxVLEBcVhkGYQEoITMEgziLzWJCAhOAFqmdqjOhmtRlR3VONy+2VUtVeRbUfX1mTt/fuIUEUgPjgeCcHkcxM0CcL7mKAYSER9t6Z1vWlgBnJ7lYwSIvh2n7bBBhOcx1kg7lUWg8VtMAJPUYYrBf9dtdo/jdO6dcCNNzru4zgSgIYXlgwGUrRaoKkJqK8HKiuB8nLg/HmSrPqyh7EQlEqSsy0lBUhNBYYMIWZ7aWnkfW+BE1kb63MQAoBEzuP9SgP9TJNDjuYG3yMl8oikIihCSJAtm9kGjdy3SHcAYIQRbDe72kCMZY7jYGwxBsRET6KQ9Il5+kD0+elLBmJ7r5pw5P2JAT4bWvcZErkEEvl12yWUqwCRWISoEVGIGhElaE85jkNreSvRTB3pFKaKa/pklU/EiBCtjka0Ohpj45zDspttZtRqawXBqrqjukvI6nx/sv4kdBbXdQtVhDoIVQnBCZCIJA5C0eX2y2jUN7o8XyaWOQlC3d/HB8dDKfXMnLG2ttYpXUN/c/HiRSFCJF/kcjmUSiVkMtkVDSzAcRwsrAVGqxFGqxFW1gqWYx2Kv5xrOgcRIxKKWCSGmBE7vJaIJJCIJBCLyGsR45kw5GoRbiAgVUohVQYmD5Q9aakWmPxYG2Ra2tF21gKJQoLQ5FCfUn0ARKg6d44IUXw5fx4wmQCbxQbO5jhuqitIKdzRtU8sBpITbEhNtmLIYCuGDrZh2BAWwyaSCHwisWjABmIwwRTwuollYujhh1TcRzAMQ83HKQHlutU4BZrr4Wu8WjQ5V0s9AwFrZREs9T0Jkwkm2OAY9jWQq3yszf+Jq1gmFlY1AwHHcWg3tQuaqtMNp/Hr73/t07WezHsSs1NnC4JRhDIioOPv5ZdfDkjQm+zsbMTFuTeZ5DgOLMuCZVkhL5nJZILBYIBer0dbWxvq6+t7DAvNMAyUSqVT4cPrh4eHIyYmBmlpaRgxYgQyMjIQFtaVNsFoNaKkrgRnm86itKkUF1svotnQjBZjC9qMbTBYDYKQxJfuwhEDBvHB8QhRhEAj10AmlkEmlkEqkgpCjYgRgWEYMGCELQcOHMcJW17wsnE22FibsLWyVlhZKyysBRabRdiabWaYbWaYbCZBgHv5hpfx5MQne/y+r6d7FQD8Vf1XWPSB0WSBAUISQxA+NBxhQ8IQPjRcKGFDwiBT+6YZWL90PY6uOurTucHxwXiyquf+9pWrZZwMRE3C1cD19r0NxPZSjRPFAX/HKD8m+/LHGKg69hUDITyvPXxfiCQiusrnJQzDIEQRghBFCDKiMpAZnemz4HTjkBtx09CbAlzDwPP888/jjjvucHscx3GC8GSz2cCyLIxGI/R6PQwGA9ra2lBVVYU1a9bgk0+cc7ZwHAe9Xu9R7qfw8HCMGDECBQUFSEhIAADsv7wfHx37CCX1JTjffB6txlav25oWmYZxceMQpgiDUqKEQqKAXCIXtEK8AMVrh8SM2EFzZP9aKpZCKpJCKpYK5/L7+P/LxDKopCqopWrIxFdW43Y9kXZbGlJmp6D5fDNaLrSQbVkL2iraUL6t3On4oNggB0HKXrBShAZuIYZCoVxfUMGJcs0xUHMrAAN/JWigY7PZcPbsWRw5ckQox44dQ0dHR6/nMQyDYcOGYfz48Rg3bhzGjx+P0aNHQ61WI1odDcPvfDPdlYqIOZPZbMbJkydRXFyMw4cPo7i4GCdPnnSbTFUulyMzMxNjx44VyogRIyCXBzb3yEMPPYTHH3/c7XG84MQwjJM5Xvf3Y8eOFfbxpnp8USgULjVOERERiI6ORnp6OqKiopx+Y9MHT8f0wdOF9xabBS3GFujMOugsOqetyWpy0vzYb802M/QWPTrMHYK2yMZ1aY3stUdW1iqcZ7KaYLQaYbAa0G5qR4OuASabez8+ESOCSqoSikauQaQqErFBsRgZNRKZ0Zm4ZdgtEIv6NjnwtUj48HBM+NUEh32sjUV7ZTuaLzSj+TwpLedbhPcVhRWoKKxwupYyXNklVA3tFKqGkPf0Hk3xlIG+KB3IBelATIcGens9hQpOFArlqkEsFiMjIwMZGRn42c9+BgBgWRbnz5/H0aNHHQSq+vp6h3NLSkpQUlKCVatWASA5v9LS0hyEqTFjxrhV0xuNRpw4cUIQkA4fPoySkhKYzb07b4SEhGDMmDEYO3assM3IyIBUGnhfku6sWLHCI41Tf2NlrZjy4RRBS6SQKCAXd23lEjmkIqlgfieY4YmlEDNiKCQKqEVqQZMkEUnAMAwxzes0y+NfcyDmeN3N8niTO7PNDJ1Zh1ZjK6q11Vh7ai0sbO+CMMux0Jq10Jq1AIggFaOOAcdxCJGHIEwRBhtngxhUcAoEIrEIoYNDETo41CGyGkAmZ9oaLRGoLtgJVZ0CVvdcdRQKheIJ1MfpGsW+W68Hy5G+GMVXi8ZpINoL9zccx6GmpsZBkDpy5AjKy51NerozfPhwjBs3ThCmVCqVgybpxIkTsFp7TxoZFxfnoEUaO3YsUlJSvO6rL978At+t+86rc1wxO2s2MsdkCiZLwXHBQqQzf9E36nHo/UM+n5+Wn4aYTJLw/OuvOfx48jBssICFRdhaYQYLC1jOChZWsLB1brsKBxYcbODAgnV4zftjEf8lgCP3RIYDw3CdglSnVq3T90nEkNcSsQhSqQgyiQhSKQOZVAS5VIwghRJBCjnCQxSIDFEgWKmAQqIQBD61VI1wZTiC5cG9Boq4Hsz67O8nO17eIeSG85akKUkYevPQgNXJ0GTo0lKVt8Bmcu235w2yYBmmPDMlADV05Hp9Fg1EAjm3GujJ2PtK49RX+FfHdgCe+Thdt4KTJ1+OO66em5l/51+JETIQ63j19O/19bDy5Vwra4XJZkJTcxOOHz+OY0ePoeRYCU4cPwGtVtt5IDon1p7DgIFcIUf6yHRkZmYia0wWskZnITY2FmKR2DEaW6cvjacR1wAy0dz50k6v6uQJEqVEME3q7v+hSdR4lcqg8Uwjlmcsd39gD9zxyR3IupdEaPzZz4AvvvD5Upg2Dbj3Xtf/s0+OyrIkhLXZTMJj6/UkbPWxY74lSI2LA0aNAsaMAf70JyDAlpZuuZ7vVQN5CjMQn2v2BHoyTNt7bXE9tdUbwYma6lEolKsGo9WILWVbcLH1Ii61XkJFewVaja1oN7Wj3dQOo9UIk9UkRDfjX9sLRGqpGqNjRyPklhCMvH2kEDjAPuqafbQ1+6hrAHqMvFbH1eF77ntsPLpRiMIm+NDYLIIvjY21gQMHG2vDyKiR+OC2D/rs+/pt02/RUt5lnsQ71Tefb0b9iXrUn6h3OkckFSEsJczR/6PTByR0cCjEsoFtZtbT5Kt7glT793wuoB6CBUIuBxQKktdHoSBJU8PDu0psLMntk5Nz5YUmCoVydXI1CIqB5FppLxWcKJSrnOspGIaIEUEiksBgMYBhGKikKugteiglJIKfIPxYRIJwI2JEgtACAHqLHuUt5QhRhEApUUImlgnCU/fIaq5y9thrj/jIakqR0uH87oU341JIFFBKlcJrtVSN883nEaWKgkauCXgfKEIViB8fj/jx8U7/M+vMRJDq7lh/vhlN55rQdLbJ6RxGxCAkOcQhWtlAEqSsVucEq7yAxAtGJhNJkKrXA83NQEMDUF1NEqS6CgYolRJhiC8aDRASAkREEIEpLg5ITiYJUcPCyOcNtAkLhUKhUAIDFZwoXsFxHAxWgxDVSmvWCq/NNjNZfWdtDivxvAO2vWO2fTJJEpkscCGdr/VIN8CVMZ8ciPDBAJJCkjA0fKjwXi6RC7l6uoeL5veJGTLBtw8KwGt++K2rvD02zuYQrc1oNQpjv93UjnpdPS61XcJ3575Dg77B57appWr8ZMhP8I8b/4GUsJRAfWU9IlPLEJMVg5isGKf/WY1WtF5sFQQqhxDQ5S1oLW9F2Y9lfV5Hb8nKAjwIHugSjgPq6oCzZx0To5aWAmVlQHu7Z9cJCgKGDycaqLS0rtfDh5P/UQLLQDNVDuRzY4A1rc+53tpLuTqhgtN1QG/38XZTO842ncXF1ouo1daipqMGNdoa1Gpr0Wpshc6iw5C3tA5hgL31A/GIl9wfImbECJYHI1gWjGB5MHITcrEyf2Xg60IZsFRXV2Nr4VbUmGqIKRxnhQ1E4LFyVkFQZ8E6bjk+YECniR1YYds9gao9LMj/ROgKGmC/FTNi4f0YzRiIQ8h7ISqcVAGVTAWlTAmVvGurkCigkWtIPil5CJJDkxEfHO/k/zTu/8Zh6E1+OMTbTUQCNcEUQYQQhOD43uMBuV7YkK4EuGFhb2LEiBKfr7V3bwvy8qq9Po9hGIdQ6/Yh2FNTRUhNlcFojIfNFgyRSASpVAq5XC4UhYJ/rYBcLodKpYJGo4FGo4FCEQGjMQYnT4qQkAAkJFy/E8TrSTseCK4V0yZPud7a2x2WY2GwGBxSLhgsBodF6O6L07wpuf2zibfMAPL6u0m9YmNt0Fv0Qnv1Fj2MVmOPbe3eXvs2kwX4CW4/MxBQwek6wspase/yPnx37jsUVRahtKkUtdpar64hZsQYGj4UyaHJiFZHI0oVhShVFHmtjkKQLEhY4e+uAZCKpRAxIocfgY21CXlTeJ8Uk80EvUUvhPXVmrXoMHWg3dSOVlMrWo2taDG0wMr2HtnMVwb6zfV6Zvfu3fjr4r/6fZ158+bhxhtvdHucfUJY1kaSwlqtVhiNRphMJuh0OjQ1NeHSpUvYu3evx5MvuVwOjUaDkJAQhIWFITk5GSkpKUhNTcW8efOEhLCaQRpoBvkXxCbQsGDRghYMyhsU8Gu3tBzAqVN+RIfoZMeOHRg+fLjb47on+7XZbA4Jf1taWlBTU4O1a9di585/+1wflUqFtLQ0jB49Gu+++y6UyoGZHJpCoXhOT7d7lmNxuf0yLjRfQK22Vih1ujo06huhNWuht+gx8l3H3HQGq2/5BHvkpd7/LWbEUEqVCJIFIVgWjCBZEIJkQVh+y3JkxmQ6HNvbo83KWnGx9SLKW8od2lqrrUWzoVloX8byLgFJZ9HBaDX630Z7Xur93xKRBCqpyqm96xaug8gsgqcBt6ngdB3QqG/EUz88hQ2lG9BqbPX6fJVUhfkj52PpmKWYkDABcgn1fqZc3Wi1Wqc8T64QhCa7YrFYYDQaYTQaBcGprq7OrdCkUCjsNBQKhISEICQkBKGhoYiNjRWKWq0OVDOvW959912Eh4e7PY7vU1eCk16vFwQnT8aKRCIRkv8GBQUhIiICERERiI2NFXKPjRo1igpNlIBivxDpapUegMtcZkQjIevfyvuAKy2EfQEgaCLsNTF92d7ylnL8cOEHbLu4DacaTuF883mvhYKE4AQMixiGGHUMIlWRiFJFIVIViUhVJMKUYZCL5U7m5/xWIpI4BSuysTYhSJLZZhaSevNCjNashc6iQ4epA22mNrSZ2tBqJAvTveWr4zgOJxtO4scLP2LHpR0403gGZS1lXi1kM2CQEpaCIWFDEKWOQqQykmw72xuqCHVqo/1WLBIL7eW1U1bWKrSTb3d37R2/CG/f1jZTG1iOhQieR5K9bgUnf1M5kdC2fadXDmRYz/yCfOyp3OPztUoeKUFqWKr7A3th3hfzfBLaPEEikmD7ku0Bu971bi5wPZCRkYF58+Z5dY5YLHYw6epu3sW/ZxgGMplMEJDkcjmkUumA88W4lpkxYwaSkpI8Pt6ViV5v7xUKBZRKpUORSLx/nAbK3/FqeRZdb/TWdhtrQ3VHNWq1tajX1aNB34AGXQMa9A1kVd6qx4I1ehgsBugteqdisBoE0yafeakr4A4/MeUTTdsnn1ZJVVDL1FBL1VDL1Jg7bC7uHHGnV+212CyobK9EnbZOaGu9rh5NhiahTfO/ct1G+2K29Z5o3JP28j6wvH+sfYJtPmiP0F6pGg+MfQCTkyY7XIrlWLy9/228c/AdnG8+73VVGDCYnTobi0cvxtzhcxGqCPW9XVcAk9WEl3a8hI+OfYQabY3X58vEMtyWdhsWZy3GrNRZUElVfVBL32m3eOjEiutYcLqeeGbyM1iybonPgstj3z+Gxyc8jhkpM7zKQWPPqKhR0Jq1vR6zu2I3jtUd8/raxLb1+uV6CoYRLYvGz6b/zO/rpVnSIDoigiZRg5DEEIQkhUCuCYwmleM47HnD94WKQRMHIXlqckDqcrURHByMyMhIv68zY8YMpKWlBaBGFIr/tBpbsfvSbuy8tBMn6k+grKUMF1sv9rqy351QRSiGhQ9DYkgiwpXhiFBGIFwZLhSFROEgANmnWJCIJGAYxkkrxa/S84VfpbcXVHQWnZDuod3UjjpdHSraKnqta622Fjsv7sSuS7twuvE0ylvLUdFW0as/aXei1dEYEjYEKaEpTu0NVYR2tbdbW/n3AFy6BTi012pyEsy0Zi06zMQ1oM3UhqqOKtTrnDXOa0+txeObH/e4Pd15NPdRvDXnLZ/PB4D/FP8Hrxe97tc1euN3U3+HJWOWAABeL3odrxa96vO1/nnTP/HLnF/6VZ/ntz6PNafW+HWNnrAZPE+Afd0mwAXaAPjuOzDQtRLd62ewGLDj4g5sOrcJ3577FuWt5V5fMzkkGXmD8jAqehQSNYmIVkcjJihG8HXy14Tvqc1P4R/7/uH1eVKRFOYXvFuFsrE2tBpb0WRoQpO+CU2GJujMxObWYDXAYDHAYDWQ952vDRYDjDby3mg1wspahZsyH6nNwTzCLgeQfTABV+Gq5RI5ZCKy+iUXkwhxKqkKKqkKSqkSKqkK6ZHpyBvk7Ow50FeEAyk4nVh9AmsXrvX5OlEjo2BoNkBbq0X3GCdyjVwQpDRJndtEx61E4X6tieM4/FH0R5/rOPX3UzHzTzOF99d6/zomWbw+nP55roYIm4Ht38Bdq68IZB03lG7ASztewtHaoz4FVZqePB3zR85Hflo+4oPjB7TWmuVYfHD4A/xz3z9R2lTq9fliRoxbht2Cu0fcjVuH34pwpXtT2/7EaDXiuS3PYUXxCugtLvIYuEEtVePerHuxdMxS5Cbk+tS3xTXFKKoo6vWYdlM7fr/9915fGwDevOlNPJb3GACg2dCMZZuWYe2ptV4J/DxRqigsHbMUS8cuRXpkuk/12Vq2FacaTvV6zLnmc3j7wNveX9wI4FV4lACXCk7XKL31KsdxqNfVo7SpFGcaz+BM4xlUtFWgRluD6o5q1HTUwGQzef2ZGrlGmPR3Dw4hE8sEO1w+9LONszms+jQZmnwyO1BJVdA9r3Pab2NtOFF/Avsu78PpxtOoaKsQSqO+0aMHGQMG8cHxiFZHI1QRijBlGELloQhVhLpc9bIvfMQ1PvR1d9tj+9Wv7gKa3qqHzqxDh7kDHaYOdJg7cMvQW/DPm//pXMcBPhkZSILTL0/9ElEZUbCZbeio7kBbRRvaKtvQXtkubNsr29FW0QZDs7OjripKJQhSmkQNQpJCHASr4PhgMGKGCk5eQAWna5vrVXDSW/SIfD3SZ4f/hOAElD9WDqnYd4uKs01nMerdUT6f744bBt+AH+77AQBwquEUMt/L9EqrZM/05OnYtmSbz1YtAPC/0v/hzi+dTQgDxcPjH8bbtzhOyk1WE4oqi7D5/GZsu7gNpxtOQ2dxno/0RpQqCiOjR2Jo2FAh0FaUKgpRahJ4K1gWLPj38PMr+zQb/H2T4zgh8To/r7jUegm5/8n1qb32ghOP1qzF9vLt2HxhM3Ze2olzTee8ni8mBCdgZPRIpIamOrU1ShUFtUzt4NNk32axqCtvYHfNqcFKFASL1i7yvrFeCE7UVM9HBvpkxIHvv3fI7MgAiOks0xAJYAoZCaGkcByHVlaHDpsBWtYILWuEjjNBy5qg5YzQcWaynzOR/7FG6FkzbJ0Bn1kGsDEcWIYhWxEDkUgMkVgCkUgMRiyGSCIDIyECh0zkKGjxdseCxkWiFDQvaqkaIYoQaOQaocjFjpquLWVb8Grhq9h3eZ/XNzAAmJQ4Cflp+bh56M1Ii0jzWpPGcVyfRfyz2MhKjz8P0+5cD5O37ohlYoQODkXo4NAejzHrzGi/3O4gVLVVtqG9oh1NZ5tQvrUcZq2jppMRMQiKG1jJeq7H/r2euKqeRX4ykOriDpVUhWO/OIY39ryBHRd34FzzOa/Or+qoQtzf4/DTjJ/i9vTbMTJqJBJDEr0SLJJDknHooUNuj7vn63twov6EV/UD4PCcGxE1AkUPFOGdA+9g+8XtqO7wLi3Azks7kfxmMhaMXIBbht2CjMgMxAbFerWYMi15mkftnfzhZLeuA66wcc7mXHKJHDNTZmJmClns4jgONdoanG066xBVr0ZLUr20GFocAjSYbCY06Buw4+IO7Li4w+s6MZ05J/xNE6OSqoRULxq5BsGyYCSHOpuMB8mCMC9tHualER9hG2tDZXslzjaddYiqV6sj6W3aTG1O+T6rOqpQ1VHlUz0D1d4gWZDQzmB5MJQ2JXZjt2d1oBon3xjoDyuH+g0eDFy65N8F+wKJhETp0GhICQkBwsKAuDggPr5rm5AADB0KeBBtjOM4ZCzP8MlUACDq82O/OIYh4UN8Oh8gKu2I1yN8Pt8dmdGZOP5IVw6dgb6KG0iNU0t5Cy7t9H0sp9+eDkWoorNe/ldMAQU00CAEIfhy5Zd+Xw8AYrJiEDcuTnh/rfcv1Tj5x9XVv4G7Vl/RV3Wsaq/Czks7cbL+JMpay1DWQkqjvtHja8vFckSqIhGhikCEMoK8VkaQKGQ9JP7mrR/4HHa8RsJiswir9CsOr/DJ4X/G4BnYtmSbi++Aw4WWC9h5cSdKm0qFtpa3lnvla62SqoQ2Rqi62quRa3psq1RE0p7w5vO8RoJPe2KwGvBa0Ws+BZl4JPsRvHvru+TNtm3AF/6nTrAyHPQiG7RiG3QiK3QiG3QiG7QiC3SMFVZR50I0AFYsAisRwSYWwSYRQSSWgpGIIRJLIZJIwUikECmVEKnUkKk0kKqDIQ3SQBoUApkqGFKRFEqp0mExWilRQiFROGhyXPL558B2/4NwWRgOus62akVW6MQsdIy1s+1WWBmy+M4yDGxiBqxEDFZM2iySSDrbLIFIIoVIKgOjUEKsUkOqDoZMTdoqDdJApgiCVCx1aqtSStrbfQGClw2oqZ4LroTgZLFZhOgv9om87AvHcU7+LwwYiEXEByYmKNrnujnVzx/BKS8PeNWFQyDLAlYrKRZLV+Hfm81AWxvQ1ERKY2PX9tIlwOCD+UJSEpCRAYweDdxwAzB1KhDkvLpvtBqx5tQaFFUUYe/lvSipL/HafCAzOhM3D70Z6ZHpSAlNQZQ6CmGKMIQpw6CUKHud4PHmiO6Y98U8bDq3yat68XW7XgWnQBLoSfpADa5xseWSEHrWbDMLZrL2W3szUlf/I/VghNU++0SL92T5F6yjrwWngYb9OAnIb+P8BXIhkYhs+dLTe4kEkMkAqZQUN5UYSIJTdXuNMJb1Fr3L8epubPPfPz+e7Z/DYpEYizIX+lVHob1Wq0fPXQtrQaOxBfWmJtQbm9BobIHeZoDeaiRbm9Hhtc7K7zNAbzPAZLPYJfrmiNWHUFjhd8qHI+fnGz0JHgqJQij8pFoulgs5b+xLfHA8xsaNJQ3R64Ea98KXyWZCg7EZ9cYm1Jua0GRqhcFq7GybnrRNaLPR4bvQWQ2wsFa7BOed7eQ42OAYitxVe10JWd3byhf7dqplagTJgjA0fCiGR3Tmh3vnHeBXv/JliBCio8nvzx6OI3Mr+7kUv/X3+aJWk8XouDggNpZsk5KAtDRSUlLIvaEnfvUr0mZfiY93vgFwHGCzObfV4r0PlRMhIY5tjY0lbeTbm5hI7omdUMGpF9x9OXzIzMq2SjToSbhMPkRom6nNMVRmD2FCXalz/YUBI/yg+ZCZSonSIURolCoKq25f5XyyP4LTrbcCGzf6U3VnWBaorAR27gQ++wzYsoXs8xaJBJg3D3jrLWBQz8k4O0wdON98HhVtFbjUdgkVbRVo0DegUd8olGZDMwwWg0e2ujKxDGGKMIQoQpwi+fDFftWLX+Wzt8U12Uy40HzBY1NCqUgq9PXYuLH436L/Cf8LxMSG4zhh9ZH3teLHOB8kw13uDPuJCP/QkogkmJt2q38VxPUtOPE06BpwsuEkzjSeQU1HDep0dQ4JFe3NIbRmrcvFghB5CKLV0cREQR7skAhQJVUJq9Nikdhpy6/Q2fvs8fkz7It9hC4+qTUfdMX+3vndPd8hLbJvIt9dNZqrceOAI0cCf11vEIu7hCipFFAoyIJUcDDZ8q81GiAqCoiJIZO+6GjyOjnZI2sAeyw2C843n8fJhpMobykXxnK9rh6txlaHPDNas9al76uYESM2KBZhyjBhDPNjOkgaBLlE7nIsS0QSYXWdX+Syv5fx2hheS+EqF47RanQIlz0pcRJW5q90rGBlJZmY9jcSSVffymSASuXYr/zrsLCuPuX7Ny6OTDA9CbW/ZQvwk5/0fXvcYT+WZTIyNl21NyKiq518u+PjSRF5YA7pr+B06hRZCPYUXqAyGIDmZrIQbb+tqwPOnQNKSsi1vUUqBbKzgenTgZtuAqZNc/we/BWcWNa7yQovUGm1pH3d21xdTdp75Ahw8aL39VGpgIkTSXtvuQXtQ4ciJDSUCk6usBecRAoRiiqKsPPSThyoOoALLRdQ2VbpleATqYoUQoRGKCOEkJkRKrLlnfrsJ9T2E20RI3KYhLAcCwtrEdTofBGCBnSGB+UnSO2mdrQZ29BuboeVtWLtfBeO8wNNcOrOtm3ArFm+n5+aCly4QF5bLMAvfQ95yYKDkbHBwFhhYGwwiFgYRPZbGwyMDSaGBcegU6VMVOicWARWJAIrFkEkFoPhfbokEqJSlisgUahIUaohUaggDQqBODQMcpVGiKjHC8dycZeflzc+TRzHodnQjIutF3Gx9SIq2iqECTYvMDbpmxxyZRgsBrdaMhEjEpLwuRIW7YNh8JNre0dV+xCwPX2WiBEJbf7DtD9gWe4yr/rPG64Gwel0w2m8sP0F7Lq0Cw36Bq/PHxs7Fvdl3YeJiRORGZ0Jtcz75LqljcTUpq/IislCgiYhoNe8LgSnkSOB//7Xeb+rVVz7YrGQyUhLS1dpbSXbqiqgrMx7i4DYWGDIECA9HZgwgVgqjBzpNAFdfmA5Pij+AKcaTnkdmYsBg0eyH8H0wdMxIWECBmkGuTcvcsF3577z+hxP4f1dAPgvOD3yCLBkifN+e2sPV8VkItYefJ/ypbmZzAMqKrxbqJRIiHA8ZAiQmUn6dtIkImDY46/g9NprZBLbW3tdjWeTybGt/OumJqC8nIxpb5DLyZxiyBBgzBjS3rw8ImjZc6UFJ284exZYvZp8pzrv/bwBEKFizZqufr7SgpOncBxQXExMCf/hfVRmnva5cxGycSMNDtEb+QX52F272yftUFpEGhaPXoy7R9yNYRHDfPp8vUXvc/SZ3uAdHlVSlV/Raa4IOh3wzTfAu+/6fg25HHjuua73Nhvwn//4fDlRZiZUEydCBRkJV23rLCxLrs1PSLpvLRago408sPjS0eH5B6tUQGQkKVFR5IGbnExKWhp5YCkULk9lORb7L+9HYUUhiiqLUFRZ5JXdPEB8u2amzER6ZDpSw1IRpYpCuDIcYcowhCnCEK4MR5AsKCATUo7jYGEtDlpbfmW53dSODhPJoTE6drTH12sztaHZ0IwmfRNajC1OWuHuGjS9RY+frf0ZzDazQyZ6e9NaAA6/Id5MDYCggbF3VM0vyAcDRtAy8ivZ/HXsc6pIRBIhAiVfFo9ejJHRIx3appFrEBcUh6HhQ6E1a72O0GWwGtBuahdW8JVSpdf3hcr2Suyv2t/rMfW6erx36D2vrsvzyR2f4N6se30697omOJgIKYGG44DTp4ENG4CCAuCYB7n1amtJKSrqEuaSkoA33gDmzxcOi1BFYHjEcHSYO7wWxjlwaDeT+4POQlJH+LIQ4G4sA8A3Z77B8brjbo/rTnxwPKqe9M3p3YmkpL7pX7OZ9NO6daR/651zFDlgtZKFyQsXgB9+6No/fTp5do8YEZh6DR/eN+3V6cji7Lp1wJdfkkWD3jCZyPg/fbpr0VgkAu64A3j7baKFG+gMH04WkNesAY57P44BAPv3E+1VdwF5oMEwwPjxZN60ahVZIPCFLVs8PvS6FZx2lO8AXM9D3fLnmX/GXSPu8uvzb/70Zuyu8CyChy9c+PUFpIal9tn1e4XjyM22tZX4NNn7NzU2ErXqmTPAoUO+rYZERREfpxkzgJ/+lKjYA8WNNwJ/+1tgrmWzAe3tZMXr0iXg4EFg82bgwAHnFT+9nqwEVvSQWFAiAUaNIhrAp54iZhUA2oxtmPPZHOy9vNenKsYHx2PF3BWYlToLColvP4iajhqsPe17iPCe2Hd5H/Zd3ochYUMwZ9gcACSCz7oz61BSX4LTjadxuuE0zjad9TgcqlKixJSkKRgdMxoTIyciWh2NCFWEYKrGF7VU3aOWz2g1ehWRide88Vpk3knZZOsy+zFajRAxIjTqGwUTXABI0CQI4W9trA1nGs/geN1x1GhrUKftMtXjBc/u5UzjGby08yWhLhKRBJGqSCGSkP1WMG2yM2eyN3GyD3nLC5m8WVOdrs7j7wMggiTvU6CUKL06l9LHMAyZDI8YAUyeTEx2fKGiAnj8ceCuuwTN08JRC7FwFPEhajG0oLimGGUtZajT1aFWW4s6XR3aTe0OpqfCa4sOnx7/FJ8e/1T4CI1cg1BFqNN4VkvVDprw7mZ6/OKB/QKHvampzuzdc4m3FIhSRfn2XV1JZDLy7Jw2jSw8vvGGb9fZuRP417+Af/87sPULNGo1Mem/8UaiifrmG++vwbLA2rXk9/DEE4Gvo79wHGnb2bPAiROkjT/8QOZh3qJSkfHxzDPEj3wgwnFE4C8tBY4eBb76Cigs9O1aYWHAzTeTe5WHgvt1Kzi9PedtbK3Zip0Xd6LF2OLVuXd/dTfGxo7FgpELMGHQBKRFpCEmKMarldw189e4jeryecnneGbLM17VLeBs20Yi2nWHt7ftHhSCf+0PCkWXrTEfWS8tjZiBpKcTs5CrwYlcLCY/yrCwLqHnpZeAN9/0/uZrtZIbxNGjZBVo/XoAxN8qNSzVZ8FJb9HjQssFjNaPxiBNz35ivdFuasfOSzvdHrfp3CafEgXeNeIuQXBqMbZga/lWnKg/gVMNp9BkaPLqWokhiZidOhtjYscgPTId0eporwXGY7XH8MWJ3qMpsRzrWxI+AL+f+nv8aeafyJvVq0kBIAYwsrM4IussYU7/MTMstEL0IhtsDGATATaGRHOyMRxsjJ4UEdf5fxLNiN9CJAYjEoERSzq3YjAyGUQyBcQyOcRyBSSydDwx+I8Qq4MgDtJAFhIGmSYc0pAwyNQayCRywRFbKVVCInL96AlUIJG+tEAf6MFYfMJmIwtdVVVEs3DoELnHnDzp/bV4wevWW4Gnn3Y011u0iKzog4zWWZ3FEXVncVwQY9EZfUxkhVZsg0nEj1/OblyzsDGtsDEtXWNZxMAqBmxiEVgRA4ZPidG5ZSRSMFIZxHJ+PIfiHvXPII5UQawOhlQTCllIGKSaMMhCwiGTqYT0GUqJEnKJfOBbdxiNXaZ6Fy4AO3YQjWKD9+a/UCiA3FzgnnuA//u/gFfVbziOmJo2NhJTvXPngB9/BL77zjsrEB6NhghMDz5ItE6B4uOPyVzGHt7Mtqd5Fe/jxAfdsvf78SWgQlxcV7CEtDRikjh+PBGuA82//uU6OISrwBD2+7Rax7Y2NREh0ealtRjDOAbDSE8n/ZqZSe5R7e0eX+q6FZwWj1mMR6c9CpZjUVJXIvg4lbWU4ULLBVS1V6FB39CjOd2R2iM4Uttlmy5mxIJvEx86M0IZAYVE4eTXZB/VxX7Fyz54gNFqdLi+X8yc6V4d747OiEwWqxVNLS3gAHCdD0SOj9Zk95qVSMBKJOA6t6xEAlYqJfvEYiSmpyN40KCuUOT24chDQq4Owag3WJbcpNvagMuXyQPrwAGicTp92vvrqdXA2LHA3LnAo48Ku5VSJT796af4x03/QFFFEXZX7EZRZRFKG0vRZmpze9lWYyse+/4xPPb9Y8iKyUJaRBqGhA1BpCoSYUpioseX7iFg+bE8NHwovrr7K4fr8loW+wS/B6oOoKKtB42ah0SqIrvCwYIETChtKkW9rh5N+iY0GZrQYugy1dNbnYO4rDy6siuQC2sTJvPdoyvxPoj8CrV9kISeNDB85C4ra3Va6bb/zgRzPQkx15OL5cJrIWoTQDSzvqyQdiJbvx7hYWEI7/4Pe9NTV69NJqIN5otWS7ZtbcQJ+XIpGceePLyUSjJBiIkhD+ohQ4gpyZgxxMdH7L2fCgVEc+9qAYafjPRULBZyb7L3f/Fi0gCA9FlUFHGqHzyY9OmQIWRCkpND7uGu2LDBIaegN4huvhlBzz8PpziqfCQyfgx3H9M2G5ls8mOY37Z3Tshqq8nKtafPyMjIrvE8aBAZy2lpwJQpgbV+2LiR/Na648rHyd73x2x29m8yeplYXqEgfcv7rg0ZQvx+MjNJVNvu0eACwX//S7RY9vB9686ny76tLS3kO/CGoKCuYBh8e3kfp4wMz4JFeIuraMXu4AN9yGRdkTGVShItTiolGkQ+kItG0/U6OJiMzdjYrihz0dF9IyD1hC+aOvsgH3x7g4OB8HDyXqFw3V6Nput5w7c5KsqzICcecP0Gh9i2DRoXoaztYTkWzZZ21JuaUWduhpYPA8oX1gQ9a4SOf23/P5vRISQoC3QlhwULEUNWcUUiMRhGBJGoKwpZ9xCh/NY+XKb9ayGSkF0ZFT0KMnFgfhQcx2H//v1YsWIFCgoKYPAllHg3pFIpfvrTn+Khhx7CjBkzAufMbTSSG4mvpKeTFZfu8Ddv3qep+2t+MsI75XZ0eL60LJGQh3FEhGsfp+HDSfFygtlqbEV5SzkutV0SokPyASKaDc0Ofj/2fkB8KH1v4MO+2vv3eHKOfZRIuVjuECUySBYEtVSNacnT8MuczoAfa9cC99/vVd0cSEsjN1egSzjntyzb9aDufM2yNrAgoW5Zsxk2qxkwmcBwHNHEiMVkBVsmA9OpfRHL5GDkCvIQs4/oZB+dLCKiq78TElyG1QcAvPwy0VL6Sl0deUD2BXo9ccq96y7XEzxPiIoiCwqDBwO4+tdLPMHhtnDvvWTS7g+d4cZZAHqjkfzy7Ma2/cIWGAZc54KWfWHtXofGxkIeGekciUyj6YpAFh7u22RSrfZZcML99wMrV7o9zCc4jgRzeP994JVXfL/OL38JLF9OXtfVkYUuf+kMJW+12WA0mcDZhZi3fw2QhUtOKnXsX7FYeM3IZIhISoKIn2Ta929oaFdEvaAg73+MBw4AywIQzKdzvJotFpgtlt7ba9c2V0WsVCI8MRFMcLBjRD0+ql5MDLkHqVTe19Nk8l4g7Q7D4FJFBT79/HN8UVCAhsZGsCDu1Rzg8NqT/oiMjMS9996L+++/HykpKf7VrTsGg/cCaXcYBidPncLHn36KNWvXQqvT+dXe5ORk3H///bj33nsR7edzjoYj7wXhy4E/WZz6ALncdQjY4GDHkJn2IWAHDerT1drW1lZ89tlnWLFiBY576GCoUChw4403YufOnWhrc6/xAIChQ4fioYcewpIlS/we/LBYgN/+1r9rAADDwMayqLx8GY3NzcIPWdjyN+7Om7hNLAYnErncQixG6siRGJKVBVFwMJk8qNXkZs0nAPZ1xnj2LLDQv7wj9m3mH1o2BjBIOBjEHHQSFhYxhKR0nFhEktJJJZ1bMcSirqR0jEQCkUIFRqWCVB0MiTKIbIM0kIaGQxIZA3lMPKTRcWB6CHjRI6tX+9feXbv8t9vmOPIAMRjIynVzMzF5KS0l9uVr13ovSEREEJPYiROBxx4TBIl+E5xsNmdtk73GqbISOHyYTJZqa727dmIiWQgYPZqYc82YIYz/gZrzy56BZKpns9mwe/duFBQUYM2aNWhq8s501RVyuRy33HILFi5ciLlz50Lly6SyJ/pDcOK4Lg2q/VjWaok5V20t+e0eOEBMob0xeVIquxa2pk0jPrcBdKbv6OjAhg0b8MUXX2Dz5s2w+msGDyAmJgZ33303Fi1ahLy8PIj6QpviIw0NDVizZg0KCgqwe/fugJjcpqamYuHChVi0aBFGjRoVgFr6j8FgwNdff40PP/wQ27Y5JxB2hUQigUgkgtlD4WXGjBl44IEH8NOf/jSwv2EfaGlpwRdffIEPP/wQhw8f9ugcpVIJo9Ho0RiQSCSYN28eli5dijlz5kDig2aJCk694LfglJTkOvqGfQjYnswjdDpnlXJLC0kad+ECMenypjtkMqKiHT6c2BxPnEiKHz8SjuOwb98+rFixAqtXr/ZYu5SYmIhly5bhwQcfREREBLRaLT7++GO89dZbKPVwRVUqleKOO+4QtFD9cUNvaWnBpk2bsGHDBnz33Xfo8MUmugfi4uJw22234bbbbsPMmTOh8FZocMWxY8ScwFfuuIOMne7wpi7dxzG/z2Qi5j2trV1attZW722tg4OJOn3wYDKWU1KIP1hOjusJf38KThzXZWOu13cJTk1NjoLT99+T78RTZLKucL8TJwIPP9xl8uOv4BQT47y4Ym/axN+3eC2bfdASkYhoQ8Xiri3/WqkkRaEghX/Nm9zaF3vTppgYskjUA1Rw8uR8DgcOHEBBQQFWr16NGg+SjgJAeno6fvrTn2Lfvn3Yvn27RxMStVqN/Px8LFy4EDfddBNk/pr2+CM4KZVCUBwH+LFsrzG2H9N8h3Ufy/xWLncex0pl18KWfeG1Mvx4DgsLuBmXwWDAd999hy+++AIbN26E0QOtBsMwmD17NrKzs7FmzRqcO3fOo89KSkrCggULsGjRIowZM6ZfElC3trZi3bp1KCgowJYtW2DzwPxXJpPhtttuQ1JSEr744guPfwMjR47EwoULsXDhQgx15bvdh3Ach4MHD+LDDz9EQUGBxwvLSUlJePjhh/HAAw9ALBZj5cqVeP/991FeXu7R+RqNBgsXLsQDDzyA3NzcK9bHLMti69at+PDDD/HNN9/AZPIsgNOoUaPwyCOP4N5770VTUxNWrFiB//73v2jw0B8vNjYWixcvxtKlS5Genu5xfa86wWn58uV44403UFtbi9GjR+Ptt99GrqvJXCdfffUVXnjhBVy8eBHDhg3Da6+9hltuucWjz/JbcBo6lDgb9gWNjcSuefVqMvnyhaAg4IUXiFOuFz+Q1tZWfPrpp1ixYgVKSko8Pm/atGn49a9/jfz8fJdSPsuy2LJlC9566y18++23Hl936NCh+PnPf47777/ffy2UG8rLy7FhwwasX78eu3bt8ujGrdFokJ+fj7vuugsTJkzADz/8gK+++gqbN2/2aEVIrVbjpptuQn5+Pm699VZEdM8R4Sn+Ck4rVgA//7nv53eH44hGoqyMCCnffgvs2eNbguOUFOJM/txzXaZsGzb4Zw4SH08mRZ2aQovV2tXfnRMvxl6AsNsyfPZ2sRgQiYgJlFgMkUQCSVAQGLmcTMJkMrLtbqpnb/LEm2by5no9Tb74CaCP6HQ6HDh4EIWFhSjaswf79u+Hjp+4+vgADQkJwaRJkzBlyhRMmTIF48ePh7wXYehK0tLSgj179qCwsBCFhYU4fPgwLH5moY+OjhbaOmXKFGRlZUF8hf2yOI5DSUkJvvjiCxQUFOCihwkfw8LCsGjRIixZsgQ5OTnCpKmiogKffPIJPvroI48n2aGhobjzzjuxcOFCzJgxw7fvwI++4DgO5eXlKNqzB4VFRSgqKsLZc+c8NutxBcMwSE9Pd+jfpH5IWmuxWLBlyxZ88cUXWLdunccLdhkZGViyZAnuvfdeJCSQXGgcx2Hv3r346KOPsHr1ao8n6MOHDxc0M95MOH1Bp9Nh48aNKCgowKZNmzzWokyYMAFLlizBggULEB5OPDetViu2bNmCVatWYd26dR5P0LOzs7Fw4ULMnz8fiYmJPrfFHXV1dfj000+xcuVKnPQw2ArDMJgzZw4eeeQRzJkzx+m3xrIsNm/ejPfeew/ffvstWA+fESNGjMDSpUtx3333ISaQ/nh2lJWVYdWqVfjoo49Q0VOU4G7IZDLcddddeOSRRzB58mQn4c5kMuHrr7/Ge++9h927PY9GPXHiRDzwwAOYP3++W2HIG8EJXD9TUFDAyWQy7sMPP+ROnjzJ/fznP+dCQ0O5uro6l8cXFRVxYrGYe/3117lTp05xv//97zmpVMqVlJR49HltbW0cAK6ND77kbRk6NJDNd4ZlOa6oiOMYxrf6ARwXG8tx7e0efBTLFRUVcUuWLOGUSiVvWupRSU9P55YvX84VFRV5XFatWsVlZ2d79TlSqZS7++67uR9//JGz2WwB+YptNht34MAB7ve//z2XmZnpcV1CQ0O5+++/n9u4cSNnNBpdXrutrY379NNPufz8fE4ul3t0XZFIxE2bNo37+9//zp07d867xhw96vs4AThuxYoAfKO9wLIct2yZf3V88skAVIPlLl26xK1fv5576aWXuPz8fC4pKclt30RHR3ODBw/26LibbrqJe+aZZ7iCggKutLQ0YOPVG2pra7m1a9dyTzzxBJeTk8OJxWK3dVcoFNzMmTO5P/7xj9yuXbu4LVu2cL/73e+4yZMncxKJxO35crmcmzp1Kvfcc89x3377Ldfc3HxF2sqyLFdeXs598skn3MMPP8yNHDnSo9+bRqPh5s6dy/3tb3/j9u/fz23YsIF74oknuLFjx3IMw7g9Pzg4mLvxxhu5P/7xj9y2bds4rVbbZ20sLS3lXn75ZS4jI8Pj+5REIuHmzZvHrVmzpsf7lP13WFRUxD300ENcSEiIx58RExPDPfroo1xhYWGfjXOLxcIdPnyY+9e//sXdfffdXFxcnEd1S05O5u6//35u1apVXHFxMffhhx9y9913Hzdo0CCPzk9MTOQWLVrELV++nDt27BhntVr7pH1Wq5Xbvn0799BDD3Hh4eEef/fh4eHcsmXLuAMHDnAsy/b6GXq9nisoKODmzJnDiUQijz9j9OjR3CuvvMKVl5cHrL1Go5Fbv349t2jRIk6tVntcl0GDBnHPPfccd+bMGbef0dLSwv373//mJk2a5PH1AXBTp07lli9f3uO801vMZjO3fv167vbbb/foHmp/L16yZAlXVFTEVVdXe1T27t3LLV261Ks5nEQi4fLz87n169dzZrPZ7/bqdDru448/5mbMmOHV9x4aGso99thj3LFjxzxu7w8//MDdcccdHj3b+KJSqbjFixdzO3bs6PE3I8gGbW1u29vvGqcJEyYgJycH73RmJGZZFomJifjVr36FZ5991un4BQsWCKsVPHl5eRgzZgzef/99t583YDROfPjXlhagupqs0B89SkLAeria6IBMRoIa3HQTyfAc7hRHS6ClpUXQLp04ccLXFlxxhgwZImihvF0tMZlM2LZtG9avX4///e9/qK6u9ur8UaNGYebMmV6ZqnR0dODbb7/F5cuXvfqsESNG4LbbbkN+fj5yc3N7N1kcSBonliVjuqKCjOedO4nG6cIF768lk5EoggsXEg2TF1GcbDYbzp49iyNHjgjl6NGjbv0/QkNDkZ2djZycHGE7aNAgMAyDxsZGHD58GAcPHhSKO/OQoKAgjB49GmPHjhXKyJEj/Td36oTjOJw9e1bQrhQWFuL8+fNuz5PJZJg4cSJuuOEGzJgxA7m5uT1qjHQ6Hfbs2YMdO3Zg+/btOHTokFuNLMMwGDVqVMBX8W02G0pKShzaW1XlPtloUFAQpk6dihtuuAE33HADxo4d26O2pLm5Gbt37xba64n2XSKRYNy4cUJbJ0+e7JeWvKKiAqtXr0ZBQQGKi4u9Pj82NhaRkZFen2cwGHDBh98qb+61cOFCjB071mdTIK1Wi/379xPtaFER9u7dC627ZKUABg0ahBkzZgj9O5j3D+wG16mx2r59u9C/nph4hYSEYOLEiUL/5ubmQuljACKuM9BSQUEBvvzyS49NzOwZNmyYTxreuro6j82d7MnLyxM0M3FeJn+1Wq3Yvn07CgoK8PXXX6O1tdWr80UiEdLS0nzSblZUVKDdy2iRYrEYs2bNwsKFC3HHHXcgNDTUq/NPnz6NlStX4uOPP0adrwFzrjDR0dGCadsIL5IZ82N55cqVKCgo8Pq77i9SU1OxdOlSLFmyxEHTeNWY6pnNZqhUKqxZswa33367sH/JkiVobW3F+s5cNfYkJSXhySefxOOPPy7se/HFF7Fu3Toc8yDDud+CU1AQcQDtjrsQsFarYwhYXwZZeHhXgAjeJ4IP7Tt6dK++AxzHYc+ePVixYgW+/PJLj+ymeWbMmIEHH3ywT1S77e3t+Oijj7BhwwaPHUElEgluv/12PPTQQ5g1a1aPgkVTUxM2bdqE9evXY/PmzR49hAFyI7nxxhv7xKGyubkZ33//vcd1iYmJwbx585Cfn49Zs2Y5P7D9FZxmzwayshz32fsJ9OTjZDY7+jbxY9qb20loKIloFBNDzPJ4P6dRo0idPJgcGI1GlJSUCMLRkSNHcPz4cei98KMQiUTIyMjAkCFDvJr0VVdX49ixYx6bmQDEj2/kyJEYM2aMIEyNHj3avWkAyP3yyJEjDoJDY2Oj2/Pkcjni4uICbtvOcRwuX77skcP6oEGDHASpUaNGuZ0M6fV6HDhwQGjrnj17PDJhCgoKQlRU4BOR2mw2VFZWenSfGj58uEN7hw4d2uv3X1dXh6+++goFBQUoKiryuE7x8fFYsGABYrvngwkABoMBGzZs8Ep44829Fi5ciIyMjF6Pra2tRVFRkdC/R44c8chMOiYmpk/uzTqdDvUehCSXSqUYP368g6Dcm6DKcRyOHz+OgoICr8wsASAnJwdz584NjD9sN6qrq7F69WrUehjchWEY3HDDDVi4cCHuvPPOHs3LWZbFnj17UFBQgK+++sqj75S//syZMzFr1qw+MYU9d+4cvvzyS48n+DKZDHPmzMHChQsxb948qNVql8e1t7dj9erV+PDDD7Fv3z6P6xMaGorFixdj6tSpfXJv3rdvH1auXInm5maPz5swYQIeeOABLFiwACE9pBSoq6vDJ598gg8//BCnvUitEh8fjwcffBBZ3ecbAYA3Xfz888899stnGAY33ngjli5divz8fJjN5qtDcKqurkZCQgL27NmDiRMnCvt/+9vfYufOndi/f7/TOTKZDB999BEWLVok7Hv33Xfx8ssvu5TwTSaTg81rW1sbkpKSUDltGjT+xHS3C4nJRyJzKvb7pdKuGPyuCh9VLyioyy9CrSZ+EVFRxBfCx9wJZ8+exapVq7wa5ACRzB988EG3D8BAcPHiRfznP//x2AaYJyUlBUuWLMHo0aMBkBvGmTNnsGnTJuzdu9ejBzHPsGHDkJ+fj7y8vD71YTAajdi2bRs2bNjg1aqUSqXCzJkzMWfOHMTzkZvKy4Enn/S/Urzw2dsY5otYTMYiv+XHtv34VqlI4ccxH0UwLKzLt8eH8Wyz2XDu3DkcO3YMx48fR2lpqUd9LBKJMHToUEFYGTx4cJ84ydbV1QlarhMnTngkVDAMg9TUVGRlZSErKwsZGRnCirLRaMSRI0ewd+9eHDp0yOOHglQqxbhx4zB16lSMHz++TyZeAJls8lqCY8eOeWxrr9FoMGHCBOTl5SErK0vwj+zo6MDBgwexb98+HDlyxOMoYkqlEnl5eYIPki9RlTyhubkZe/fuxe7duz0OegMAUVFRyMvLw8SJE5GWliYs9ly+fBlff/01du7c6fF3BxDhYf78+Zg+fXqf+1udOnUKn3/+udf35szMTNx5553IysoSfmtVVVXYu3cv9u3b55V2KyYmBlOnTsXkyZORnJzcJ79dXiNVWFiI3bt3e7QoAZDf77BhwzBx4kTk5eUJQizHcTh8+DDWrFnj1VgBgDFjxmDhwoVIS0vzuh3ewGuEvvzyS4/bC5DFy1mzZuH2228X2mu1WrF79258/fXXXllZiEQiTJkyBfPnzxf8tPoKg8GATZs2Yd26dR4vXgLk2XvLLbfg1ltvFbRQ/MLC+vXrvUrRIpVKkZ+fjzvuuKPPo90ZjUasW7cO33zzjVcLfEqlEvn5+Zg3b55Qx5aWFqxZswabN2/2al4VFBQkBJfpq/syT2trKwoKCvDjjz96dT8NCwvD3LlzsXTpUrS2tvYoNAr4ZdjoJ1VVVRwAbs+ePQ77n376aS43N9flOVKplPv8888d9i1fvpyLjo52efyLL77olc0lLbTQQgsttNBCCy200HJ9lcrKSreyS9+Kf26IjIyEWCx2WnWvq6vr0fQgNjbWq+Ofe+45PGm3Is+yLJqbmxEREXHFwjK2t7cjMTERlZWVHpnkUK4eaN9e29D+vbah/XvtQvv22ob277XNle5fjuPQ0dHRZc3TC/0qOMlkMowfPx5bt24VfJz42O+PPvqoy3MmTpyIrVu3Ovg4/fjjjw6mfvbI5XInR0pvHf4ChUajoT/waxTat9c2tH+vbWj/XrvQvr22of17bXMl+9etiV4n/So4AcCTTz6JJUuWIDs7G7m5uXjzzTeh0+mwdOlSAMDixYuRkJCAV155BQDw2GOPYfr06fj73/+OW2+9FQUFBTh06BBWrFjRn82gUCgUCoVCoVAo1zD9LjgtWLAADQ0N+MMf/oDa2lqMGTMG33//vRDBraKiwiFq2qRJk/D555/j97//PZ5//nkMGzYM69atw6hRo/qrCRQKhUKhUCgUCuUap98FJwB49NFHezTN27Fjh9O+u+++G3fffXcf1ypwyOVyvPjiiz7lXqAMbGjfXtvQ/r22of177UL79tqG9u+1zUDu335PgEuhUCgUCoVCoVAoAx3XmUMpFAqFQqFQKBQKhSJABScKhUKhUCgUCoVCcQMVnCgUCoVCoVAoFArFDVRwolAoFAqFQqFQKBQ3UMGpj1m+fDkGDx4MhUKBCRMm4MCBA/1dJUoAeOWVV5CTk4Pg4GBER0fj9ttvR2lpaX9Xi9IHvPrqq2AYxiHpNuXqpqqqCvfeey8iIiKgVCqRmZmJQ4cO9Xe1KAHAZrPhhRdeQEpKCpRKJYYMGYI//elPoHGwrk527dqFefPmIT4+HgzDYN26dQ7/5zgOf/jDHxAXFwelUonZs2fj3Llz/VNZitf01r8WiwXPPPMMMjMzoVarER8fj8WLF6O6urr/KgwqOPUpq1evxpNPPokXX3wRxcXFGD16NG666SbU19f3d9UofrJz504sW7YM+/btw48//giLxYIbb7wROp2uv6tGCSAHDx7Ev//9b2RlZfV3VSgBoqWlBZMnT4ZUKsV3332HU6dO4e9//zvCwsL6u2qUAPDaa6/hvffewzvvvIPTp0/jtddew+uvv4633367v6tG8QGdTofRo0dj+fLlLv//+uuv46233sL777+P/fv3Q61W46abboLRaLzCNaX4Qm/9q9frUVxcjBdeeAHFxcX4+uuvUVpaittuu60fatoFDUfeh0yYMAE5OTl45513AAAsyyIxMRG/+tWv8Oyzz/Zz7SiBpKGhAdHR0di5cyemTZvW39WhBACtVotx48bh3XffxZ///GeMGTMGb775Zn9Xi+Inzz77LIqKirB79+7+rgqlD5g7dy5iYmLw3//+V9h35513QqlU4tNPP+3HmlH8hWEYfPPNN7j99tsBEG1TfHw8nnrqKfzmN78BALS1tSEmJgarVq3CwoUL+7G2FG/p3r+uOHjwIHJzc3Hp0iUkJSVducrZQTVOfYTZbMbhw4cxe/ZsYZ9IJMLs2bOxd+/efqwZpS9oa2sDAISHh/dzTSiBYtmyZbj11lsdfsOUq58NGzYgOzsbd999N6KjozF27Fh88MEH/V0tSoCYNGkStm7dirNnzwIAjh07hsLCQsyZM6efa0YJNOXl5aitrXW4R4eEhGDChAl0nnWN0tbWBoZhEBoa2m91kPTbJ1/jNDY2wmazISYmxmF/TEwMzpw500+1ovQFLMvi8ccfx+TJkzFq1Kj+rg4lABQUFKC4uBgHDx7s76pQAkxZWRnee+89PPnkk3j++edx8OBB/PrXv4ZMJsOSJUv6u3oUP3n22WfR3t6O9PR0iMVi2Gw2/OUvf8E999zT31WjBJja2loAcDnP4v9HuXYwGo145plnsGjRImg0mn6rBxWcKBQ/WbZsGU6cOIHCwsL+rgolAFRWVuKxxx7Djz/+CIVC0d/VoQQYlmWRnZ2Nv/71rwCAsWPH4sSJE3j//fep4HQN8OWXX+Kzzz7D559/jpEjR+Lo0aN4/PHHER8fT/uXQrlKsVgsmD9/PjiOw3vvvdevdaGmen1EZGQkxGIx6urqHPbX1dUhNja2n2pFCTSPPvooNm7ciO3bt2PQoEH9XR1KADh8+DDq6+sxbtw4SCQSSCQS7Ny5E2+99RYkEglsNlt/V5HiB3FxcRgxYoTDvoyMDFRUVPRTjSiB5Omnn8azzz6LhQsXIjMzE/fddx+eeOIJvPLKK/1dNUqA4edSdJ51bcMLTZcuXcKPP/7Yr9omgApOfYZMJsP48eOxdetWYR/Lsti6dSsmTpzYjzWjBAKO4/Doo4/im2++wbZt25CSktLfVaIEiFmzZqGkpARHjx4VSnZ2Nu655x4cPXoUYrG4v6tI8YPJkyc7pQ44e/YskpOT+6lGlECi1+shEjlObcRiMViW7acaUfqKlJQUxMbGOsyz2tvbsX//fjrPukbghaZz585hy5YtiIiI6O8qUVO9vuTJJ5/EkiVLkJ2djdzcXLz55pvQ6XRYunRpf1eN4ifLli3D559/jvXr1yM4OFiwpw4JCYFSqezn2lH8ITg42MlXTa1WIyIigvqwXQM88cQTmDRpEv76179i/vz5OHDgAFasWIEVK1b0d9UoAWDevHn4y1/+gqSkJIwcORJHjhzBP/7xDzzwwAP9XTWKD2i1Wpw/f154X15ejqNHjyI8PBxJSUl4/PHH8ec//xnDhg1DSkoKXnjhBcTHx/camY0ycOitf+Pi4nDXXXehuLgYGzduhM1mE+Za4eHhkMlk/VNpjtKnvP3221xSUhInk8m43Nxcbt++ff1dJUoAAOCyrFy5sr+rRukDpk+fzj322GP9XQ1KgPjf//7HjRo1ipPL5Vx6ejq3YsWK/q4SJUC0t7dzjz32GJeUlMQpFAouNTWV+93vfseZTKb+rhrFB7Zv3+7yWbtkyRKO4ziOZVnuhRde4GJiYji5XM7NmjWLKy0t7d9KUzymt/4tLy/vca61ffv2fqszzeNEoVAoFAqFQqFQKG6gPk4UCoVCoVAoFAqF4gYqOFEoFAqFQqFQKBSKG6jgRKFQKBQKb0SrVwAABXtJREFUhUKhUChuoIIThUKhUCgUCoVCobiBCk4UCoVCoVAoFAqF4gYqOFEoFAqFQqFQKBSKG6jgRKFQKBQKhUKhUChuoIIThUKhUK4bduzYAYZh0Nra2utxgwcPxptvvnlF6kShUCiUqwMqOFEoFAplwHH//feDYRgwDAOZTIahQ4fij3/8I6xWq1/XnTRpEmpqahASEgIAWLVqFUJDQ52OO3jwIB566CG/PotCoVAo1xaS/q4AhUKhUCiuuPnmm7Fy5UqYTCZs2rQJy5Ytg1QqxXPPPefzNWUyGWJjY90eFxUV5fNnUCgUCuXahGqcKBQKhTIgkcvliI2NRXJyMh555BHMnj0bGzZsQEtLCxYvXoywsDCoVCrMmTMH586dE867dOkS5s2bh7CwMKjVaowcORKbNm0C4Giqt2PHDixduhRtbW2Cduull14C4GyqV1FRgfz8fAQFBUGj0WD+/Pmoq6sT/v/SSy9hzJgx+OSTTzB48GCEhIRg4cKF6OjouCLfFYVCoVD6Hio4USgUCuWqQKlUwmw24/7778ehQ4ewYcMG7N27FxzH4ZZbboHFYgEALFu2DCaTCbt27UJJSQlee+01BAUFOV1v0qRJePPNN6HRaFBTU4Oamhr85je/cTqOZVnk5+ejubkZO3fuxI8//oiysjIsWLDA4bgLFy5g3bp12LhxIzZu3IidO3fi1Vdf7Zsvg0KhUChXHGqqR6FQKJQBDcdx2Lp1KzZv3ow5c+Zg3bp1KCoqwqRJkwAAn332GRITE7Fu3TrcfffdqKiowJ133onMzEwAQGpqqsvrymQyhISEgGGYXs33tm7dipKSEpSXlyMxMREA8PHHH2PkyJE4ePAgcnJyABABa9WqVQgODgYA3Hfffdi6dSv+8pe/BOy7oFAoFEr/QTVOFAqFQhmQbNy4EUFBQVAoFJgzZw4WLFiA+++/HxKJBBMmTBCOi4iIQFpaGk6fPg0A+PWvf40///nPmDx5Ml588UUcP37cr3qcPn0aiYmJgtAEACNGjEBoaKjwmQAx7+OFJgCIi4tDfX29X59NoVAolIEDFZwoFAqFMiCZMWMGjh49inPnzsFgMOCjjz4CwzBuz3vwwQdRVlaG++67DyUlJcjOzsbbb7/d5/WVSqUO7xmGAcuyff65FAqFQrkyUMGJQqFQKAMStVqNoUOHIikpCRIJsSzPyMiA1WrF/v37heOamppQWlqKESNGCPsSExPxi1/8Al9//TWeeuopfPDBBy4/QyaTwWaz9VqPjIwMVFZWorKyUth36tQptLa2OnwmhUKhUK5tqOBEoVAolKuGYcOGIT8/Hz//+c9RWFiIY8eO4d5770VCQgLy8/MBAI8//jg2b96M8vJyFBcXY/v27cjIyHB5vcGDB0Or1WLr1q1obGyEXq93Omb27NnIzMzEPffcg+LiYhw4cACLFy/G9OnTkZ2d3aftpVAoFMrAgQpOFAqFQrmqWLlyJcaPH4+5c+di4sSJ4DgOmzZtEkzlbDYbli1bhoyMDNx8880YPnw43n33XZfXmjRpEn7xi19gwYIFiIqKwuuvv+50DMMwWL9+PcLCwjBt2jTMnj0bqampWL16dZ+2k0KhUCgDC4bjOK6/K0GhUCgUCoVCoVAoAxmqcaJQKBQKhUKhUCgUN1DBiUKhUCgUCoVCoVDcQAUnCoVCoVAoFAqFQnEDFZwoFAqFQqFQKBQKxQ1UcKJQKBQKhUKhUCgUN1DBiUKhUCgUCoVCoVDcQAUnCoVCoVAoFAqFQnEDFZwoFAqFQqFQKBQKxQ1UcKJQKBQKhUKhUCgUN1DBiUKhUCgUCoVCoVDcQAUnCoVCoVAoFAqFQnEDFZwoFAqFQqFQKBQKxQ3/Dxd8Ib1GS6UdAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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8EKdPn0ZcXBz69euHH3/80eM5iIiIiIiIQk0QRVFUOohwKisrQ3JyMgwGA5KSkpQOh4go5ARB6QiC17z+Anni74mISHl1yQ2a/OAQREREREREjY2JExERERERUQBMnIiIiIiIiAJg4kRERERERBQAEyciIiIiIqIAmDgREREREREFwMSJiIiIiIgoACZOREREREREATBxIiIiIiIiCoCJExERERERUQBMnIiIiIiIiAJg4kRERERERBQAEyciIiIiIqIAmDgREREREREFwMSJiIiIiIgoACZOREREREREATBxIiIiIiIiCoCJExERERERUQBMnIiIiIiIiALQKB0AERE1X4KgdARERETBYYsTERERERFRAEyciIiIiIiIAmDiREREREREFAATJyIiIiIiogCYOBEREREREQXAxImIiIiIiCgAJk5EREREREQBMHEiIiIiIiIKgIkTERERERFRAEyciIiIiIiIAmDiREREREREFAATJyIiIiIiogCYOBEREREREQXAxImIiIiIiCgAJk5EREREREQBMHEiIiIiIiIKgIkTERERERFRAEyciIiIiIiIAmDiREREREREFAATJyIiIiIiogCYOBEREREREQXAxImIiIiIiCgAJk5EREREREQBMHEiIiIiIiIKQNHEaf369Zg8eTJat24NQRDw1VdfBXzM2rVrMXDgQOj1enTp0gXvv/9+o8dJRERERETNm6KJk8lkQv/+/bFkyZKgjj927BguvfRSjB07Ftu3b8f999+P22+/HatWrWrkSImIiIiIqDnTKPnikyZNwqRJk4I+/vXXX0fHjh2xYMECAEDPnj3xyy+/4OWXX8aECRMaK0wiImokoqh0BMoRBKUjICKiulA0caqrTZs2Yfz48R51EyZMwP3331/n56o4WwGNtUn9+C4xLWKgUjef29OsRivslXalw6hVbFosBJ4FEREREUWtJpU55OfnIzMz06MuMzMTZWVlMJvNiI2NrfEYi8UCi8Xi2i4rKwMALOq0CDGIadyAG0lq11SMnDcS/W7sB7VWrXQ4je7HeT9i8+LNSodRq8dsj0HQMHEiIiIiilZR32zx3HPPITk52VWys7OVDqnBSg6V4H+3/Q+vdHkFm1/bHPGtMURERERETV2TSpyysrJQUFDgUVdQUICkpCSfrU0AMG/ePBgMBlc5efJkOEINC0OuAd/d/R0WdVqETS9vgtVkVTokIiIiIqKo1KQSp2HDhmHNmjUedatXr8awYcP8Pkav1yMpKcmjRBtjnhE/zPkBizoswoZnN6DSUKl0SEREREREUUXRxMloNGL79u3Yvn07AGm48e3btyM3NxeA1Fo0ffp01/EzZ87E0aNH8fDDD2P//v149dVX8dlnn+GBBx5QIvyIU1FcgZ/+8RMWtl+Inx//GRVnK5QOiYiIiIgoKtQrcTKbzaioqD4pP3HiBBYuXIgffvihTs+zZcsWnHfeeTjvvPMAAHPmzMF5552Hxx9/HACQl5fnSqIAoGPHjlixYgVWr16N/v37Y8GCBXj77bc5FLkXi8GC9U+tx8L2C7H64dUw5huVDomIiIiIqEkTRLHus2hcfPHFuOqqqzBz5kycO3cOPXr0gFarRXFxMV566SXcddddjRFrSJSVlSE5ORlzMbfJjqpXV5oYDQbOGIjhfxuO5OxkpcOps+/u+a5JjKqn0jSpnq8UxZrSyPicx6lpaM6/JyKKbnJuYDAYAt7SU68zvW3btuGCCy4AACxfvhyZmZk4ceIEPvzwQ/znP/+pz1NSI7JX2vHHK3/gP53/g2/u+AalR0uVDomIiIiIqEmpV+JUUVGBxMREAMAPP/yAq666CiqVCueffz5OnDgR0gApdJw2J7a9tQ2vdHsFX07/EkX7ipQOiYiIiIioSahX4tSlSxd89dVXOHnyJFatWoWLL74YAFBYWBiVo9ZFG9EhYudHO/Fq71ex7NplyN+er3RIREREREQRrV6J0+OPP46HHnoIHTp0wNChQ13Dgf/www+ugR6oCRCBvcv24o3z3sD/Tf4/nPr9lNIRERERERFFJE19HjR16lSMHDkSeXl56N+/v6t+3LhxuOqqq0IWHIXPwW8P4uC3B9FpfCdc8OgF6DC6g9IhERFREyCKIqzGpjsBu6ASoIvXKR1GWFmNVtRjbLCwUalV0MZplQ6DqIZ6JU633XYbFi1aVKN1qXfv3rjnnnvw7rvvhiQ4Cr+jPx7F0R+Pot3Idrjg0QvQ+eLOEJrS0E9ERBRWTpsTzyc9r3QYDdJ+dHvk3JmDnlf1hEZfr1OjJuXV3q/CkGtQOgy/ukzqghu+u0HpMIhqqFdXvQ8++ABms7lGvdlsxocfftjgoJq7xNaJ6HdTPwhq5RKW3F9y8fHEj/H2kLex/+v9EJ2Re2WKiIioIU6sO4Evrv8CL7d9GT/87QecPXRW6ZCIKALVKXEqKyuDwWCAKIooLy9HWVmZq5SWluK7775DRkZGY8XabMSkxODKD6/E7AOzMXDGQKi0ys0PdGbLGSydshSvD3gdu5fuhtPhVCwWIiKixlRRXIFN/96Exd0W48NxH2LPZ3vgsDqUDouIIkSd2qNTUlIgCAIEQUC3bt1q7BcEAfPnzw9ZcM1daudUTH5zMkY9Ngob/7UR297aBnulXZFYCncV4vPrPsfabmsx8pGR6Ht9X6i1akViISIiamzHfjqGYz8dQ3xGPAbcOgA5d+SgRacWSodFRAqqU+L0888/QxRFXHjhhfj888+Rmprq2qfT6dC+fXu0bt065EE2d8nZyZj0n0m44JELsOmlTdj86mbYTDZFYjl78Cy+vuVrrHtyHUbMHYEBtwxoFv3BiYioeTIVmvDrC7/i1xd+ReeLOyPnzhx0m9yNFw+JmqE6nfGOHj0aAHDs2DG0a9eOgwaEWUJWAi568SKM+PsI/L7od/z+n99hMVgUieXc8XNYMXMF1v9zPYY/PBw5M3I4Ag4REUW1Iz8cwZEfjiAhKwHn/fU8DJwxECntU5QOi4jCJOjEaefOnejTpw9UKhUMBgN27drl99h+/fqFJDjyLS4tDmP/ORbDHhyGzUs2Y9NLm2A+W3OwjnAoP1OOVfevwoZnNmDYnGEYfPdg6JP0isRCREQUDsZ8IzY8swEbnt2ALhO7SK1Ql3aDSqPcPclE1PiCTpwGDBiA/Px8ZGRkYMCAARAEweccAIIgwOHgjZThEJMcgwseuQBD7xuKrW9sxcZ/bYQx36hILBVFFVgzbw1+feFXDL1vKIbeOxSxqbGKxEJERBQWInD4+8M4/P1hJLZJxMDbB2Lg7QOR1DZJ6ciIqBEEnTgdO3YM6enprnWKHLp4nau15893/8SvL/yq2PwMlecqsW7+OmxasAmDZw3GsDnDEJ8Rr0gsRERE4VJ+uhzr5q/D+qfWo+ulXZFzZw66TOwClZqtUETRIuh/ze3bt3fd05SQkID27dujffv2UKlUeOedd7B48WLk5uaiffv2jRYs1U4To8HguwfjnkP34PJ3Lkdql9TAD2okVqMVv77wKxZ2WIiV969E2ekyxWIhIiIKF9Ep4uA3B/F/l/0f/tPpP1j31DqUnylXOiwiCoE6DQ6xa9cuTJ48GSdPnkTXrl3x6aefYuLEiTCZTFCpVHj55ZexfPlyTJkypZHCpWCodWqcd9t56D+9P/Z8tgcbnt2Aoj1FisRiN9vx+6LfseW1LRhw6wCM+PsItOjI4VyJiCj6GXINWPv4Wqybvw7dJ3dHzswcdL6oMwQVB9dqCLPNjB+P/ogSc4nSofilUWlwYccL0SqxldKhKEYURews2Int+duVDqVWqargGxrqlDg9/PDD6Nu3Lz7++GN89NFHuOyyy3DppZfirbfeAgDcc889eP7555k4RQiVRoW+1/dFn+v6YP/X+7Hh6Q3I25anSCwOqwNb39iKbW9vQ78b+2HkvJFo2b2lIrGEm6nQhI3/3qh0GPWm0qqQPSwbHcZ2gC5ep3Q4jU50ivhx7o9Kh1GrtsPaoueVPZUOg6jJGHDLALTo0gLb3toGw4nwd2UXHSL2f7Uf+7/aj5SOKRg4YyDOu/U8JGQlhD2WaBCrjcXELhPx8/GfsXzvcny5/0sUVxQrHVYNAgSMaj8K03pPw9W9rkZGfIbSIYXF3qK9WLp7KZbuWYoDZw8oHY5P7ZPb45pe12Bqr6nontg96McJoq8RHvxo2bIlfvrpJ/Tr1w9GoxFJSUnYvHkzcnJyAAD79+/H+eefj3PnztX5BwiXsrIyJCcnYy7mIgYxSofjU3qvdNy95+6QP68oiji88jDWP7UepzadCvnz14kA9L62Ny545AJk9sus9dDv7vkOmxdvDlNg9fOY7TG/oykV7y/Gkp5LwhxR6Kl1arQb2Q6dJ3ZGl4ldkNEnIyqnJHA6nHhK85TSYdRq0N2DcOmSS/3ub0q/luD/AkWfaPk9OawOPK1/OnzB1MOIv4/A+OfHw+lw4sgPR7D1ja04+M1BiE7lPoAqjQo9pvRAzp056Hhhx7C2Qi1sv1Cxe6GD0WVSF9zw3Q1BH2932rHu+Dos37scX+z/AoWmwkaMrn5UggoXdrwQ03pPw5U9rkRaXJrSIYXUobOHsHSPlCztLtytdDg+dWrRyZUs5bTKcZ3DyLmBwWBAUlLtA7vUqcWppKQEWVlZAKT7nOLj49GiRXW3qxYtWqC8nP14I5UgCOg6qSu6TOyC42uPY8PTG3DsJ4UG+hCBPUv3YM/SPeh+eXdc8I8L0GZIG2VioaA4rA4c++kYjv10DD8+/CMSWyei84TOUrmoM0dRJKKIp1Kr0HVSV3Sd1BVlp8qw7Z1t+PPtP1F2Kvz34TrtTuxdvhd7l+9FapdUDJwxEANuHYD4dA6oVFcalQbjOo3DuE7jsPiSxdiQuwHL9y7H5/s+R74xX+nwAABO0Ykfj/6IH4/+iLtW3IXxncZjWu9pmNJjClJiUpQOr16OlR7DZ3s+w9I9S/Fn/p9Kh+NT19SurmRpQNaABl/wrVPiBKDGC0bjFedoJwgCOo7tiI5jO+LkxpPY8MwGHPrukGLxHPjfARz43wF0vrgzLnj0ArS/gAOMNAXlZ8qx/b3t2P7edggqAW2GtEHnCVJrVOvBrTmSFBFFtKS2SRjzxBiM+scoHPr+ELa+sVX6W6hAI1TJ4RL8+Pcf8dOjP6HX1b2Qc2cO2o9uz3OselCr1BjTYQzGdBiDRRMXYdOpTVi2Zxk+3/c5TpefVjo8AFIL2crDK7Hy8Erc+e2dmNB5Aqb1nobLu1+ORH2i0uHV6qThpCtZ2nwmMnsD9WjZw5Us9c3oG9J/R3VOnG655Rbo9dIEp5WVlZg5cybi46WrIxaLJWSBUXhkD8/G9SuuR962PGx4ZgP2fbFPsVjkGdnbj2qPCx69AJ3Gd+IfjSZCdIo49dspnPrtFNbNX4eYFjHofFFnqVvfhC5IbB3ZfwiIqPlSaVToPrk7uk/uDkOuAdve3oZtb2+DMS/88yI6bU7s/nQ3dn+6G2nd05BzRw7639wfcWlxYY8lGqhVaoxsNxIj243EyxNfxu+nfseyvcuwfO9ynCw7qXR4AACrw4pvDn6Dbw5+gxhNDC7pegmu7XUtLut2GeJ1kdH6mFeeh2V7l2HpnqXYeDIy79nund7blSz1zujdaK9Tp8Tp5ptv9ti+8cYbaxwzffr0hkVEimg1sBWu/fxaFO4pxC/P/oLdn+5WrO/3ifUncOLiE2gzpA0uePQCRa7+UcNUllZiz2d7sOezPQCAjL4ZrtaodiPbQaOv8zUbIqJGl9wuGWP/ORajHx+Ng98exJbXt+DID0cU+Tt09sBZ/PDgD1jzyBr0miq1QrUb2Y4XFOtJJagwLHsYhmUPw4KLF2Dzmc1Yvnc5lu1dhuPnjisdHgCg0l6JL/Z9gS/2fYE4bRwu63YZpvWehkldJiFWG97u8IWmQny+93Ms3bMU60+shxiBJ2P9M/tjaq+puLrn1eiZHp4Bk+p09vLee+81VhwUITJ6Z+Cqj6/CmPlj8Mvzv2DHBzvgtDsVieX0H6fx6eWf+h10gZqOwl2FKNxViE3/3gRtnBYdxnZwJVKpXVJ5IkBEEUUeuKHHlB4oPVaKbW9tw5/v/glTgSnssTgsDuz6eBd2fbwL6b3SMfCOgeg/vT9iW/C+0voSBAFD2gzBkDZD8ML4F7Atb5sriTpSekTp8AAAFbYKfLbnM3y25zMk6BJwRfcrMK33NFzc+WLoNfpGec0Scwm+2PcFlu5Zip+P/QyH6GiU12mIga0GYmrPqbi619XoltYt7K/Py77kU2qXVFz+9uUY9dgobPzXRmx7exscFmX+ASmVuFHjsFXYcGjFIRxaId1X16JTC1cS1WFsB+gTG+cPAhFRfbTo2ALjnh2HMU+OwYH/HcDWN7bi6I9HFYmlaG8RVt2/CmvmrkHvab2Rc2cO2p7flhefGkAQBOS0zkFO6xw8O+5Z7CjY4UqiDp49qHR4AACj1YiPd32Mj3d9jGR9Mqb0mIJpvadhfKfx0Kq1DXpuQ6UBX+3/Ckv3LMXqo6thd9pDFHXoDG492NWy1Dm1s6KxMHGiWqW0T8Eliy/BBf+4AJsWbMKW17bAVmFTOiwKsSH3DkFsi1gcWXUEp/84HdZumqVHS7HltS3Y8toWqLQqtBvRzpVIZfbP5AkBEUUEtU6NXlN7odfUXig5XIKtb23F9ne3o6K4Iuyx2Cvt2PHBDuz4YAcy+mYg584c9LuxH2KSI3OalaZCEAQMyBqAAVkD8NTYp7C7cDeW712O5fuWY2/RXqXDAwAYLAZ8sOMDfLDjA6TGpuKqHldhWp9pGNNhDDSq4E7ryy3l+ObgN1i6ZylWHl4Jq8PayFHX3fltz3e1LHVI6aB0OC5MnCgoia0ScfG/L8bIuSPx28Lf8Mcrf8BSxsFAokVG7wzk3JGDMU+OgbnEjKM/HsXhlYdxeOXhsN4g7bQ5cXztcRxfexxr5q1BQlYCOl8sDTLR+aLOiGvJG6SJSHmpXVJx0QsXYew/x2L/l/ux9Y2tOL72uCKxFO4qxPezv8ePD/+I3tf1xqA7B6H14Na86NRAgiCgb2Zf9M3si/lj52Nv0V4pidq7HLsKdykdHgCpa93bf76Nt/98GxnxGbi659WY1nsaRrYbCbVK7XFsha0CKw6uwNI9S7Hi0ApU2isVitq/EdkjXC1L2cnZSofjExMnqpO4lnG48OkLMfyh4fhj8R/47eXfYC4xKx0WhVBsaix6X9sbva/tDVEUUbi7EIdXHsaRVUeQuyEXDmv4umwa843Y8eEO7PhwByAArQe1RpeJXdB5Qme0HdqW978RkaI0eg36XNcHfa7rg+IDxdj65lbseH+HIn8XbRU2bH93O7a/ux1ZA7KQc2cO+t7Ql92fQ6RXei88PvpxPD76cRwoPuBqidqev13p0ABIgzm8tuU1vLblNbRKaIWpvabi2t7XoriiGEv3LMU3B76ByRb+e/RqI0DABe0vwNSeU3FVz6vQJiny5/Nk4kT1EpMSg1GPjsL595+PLa9vwcZ/b1TkpllqXIIgILNvJjL7ZmLE30bAarTi+NrjOLzqMI6sPIKSwyXhC0YEzmw+gzObz2D9U+uhT9aj0/hOrkQqOTs5fLEQEXlp2b0lJiyYgHHPjMPez/di6xtbkbshV5FY8rfnY8VdK7D6b6vR5/o+GHTnILQa2EqRWKJR95bd8Y9R/8A/Rv0Dh0sOu1qituZtVTo0AECeMQ+v/PEKXvnjFaVDqUElqDC6/WhM7SUlS1kJWUqHVCdMnKhBdAk6DH9oOAbPGow/3/0Tv77wK8pOhn8GdgoPXYIO3S7rhm6XSSPZlBwpwZFVR3B45WEc++kYbKbw3f9mMViw7/N92Pe5NPdYeq9017xR7Ue1hyaGX29EFH6aGA363dAP/W7oh6K9Rdjyxhbs/HAnKs+Fv2uU1WjFtje3Ydub29B6UGvk3JmDPtf1CXsc0axLahfMHTkXc0fOxbHSY/h83+dYtncZ/jj9h9KhRQy1oMbYjmMxtedUXNnzSmTEZygdUr3xzIJCQhurxZBZQ5AzIwc7PtqBX579BaVHS5UOixpZaudUpN6disF3D4bD6kDur7muRKpgR0FYYynaW4SivUX47aXfoInVoMPoDq5EKq17Gvv7E1HYpfdKx6RFkzD+ufHYs2wPtr6xFac2nVIkljNbzuDMljNYNWeVYqPkRruOLTrioeEP4aHhD+HEuRP4Yt8XWL5vecROGtuYNCoNxnUch6m9pmJKjyloGddS6ZBCgokThZRap8bAvw7EgJsHYPenu7Hh2Q0o3lesdFgUBmqdGh3HdkTHsR0x/vnxKM8rx5EfjuDIyiM4svoIzGfD1+ffbra7BrdYhVVIbp/s6tLXaVwn6JPY55+Iwkcbp8WAmwdgwM0DULCrAFvf2IqdH+1UZJAla3nkjaAWjdqntMcDwx7AA8MewKmyU1IStXc5fsn9JSInkw0FrUqLizpfhKk9p+KKHlcgNTZV6ZBCjokTNQqVRoV+N/ZD3+v7Yt+X+7Dh6Q3I356vdFgURomtEl0nCk6HE3lb81z3Rp367VRYhzw3nDBg6xtbsfWNrVBpVGg7rC26TOyCLhO7IGtAFgQVW6OIKDwy+2biksWXYPwL47H7093Y+sZWnNl8RumwqBG1TWqLe4fei3uH3osz5Wfw5b4vsXzfcqw/sR5OsWnPValT6zCh8wRc0+saTO4+GSkxKUqH1KiYOFGjElQCel3dCz2v6olD3x3C+qfW4/Tvp5UOi8JMpVahzZA2aDOkDUY/NhrmUjOOrTnmGq2v7FT47otz2p3I3ZCL3A25+OkfPyEuPQ5dJkitUZ0v7ozYtNiwxUJEzZcuXoeBfx2IgX8diLw/87D1ja3Y9fEuWI1sEYpmrRNbY9aQWZg1ZBYKjAX4cv+XWL53OX4+/nOTSaL0aj0mdZ2Ea3pdg8u6XYYkfZLSIYUNEycKC0EQ0O3Sbuh6SVcc++kYNjy9QbE5L0h5sS1iXRNJiqKIor1FriTqxPoTYe1/X1FUgZ3/3Ymd/90JAMg6r2mN8ENETV+r81rhstcvw0X/ugi7/09qhcrblqd0WNTIMhMyMXPQTMwcNBNFpiJ8feBrLNu7DD8e/THikii9Wo/Lul2Ga3pdg0u6XoJEfaLSISmCiROFlSAI6DSuEzqN64TcX3Kx4ZkNOLzysNJhkYIEQUBG7wxk9M7A8AeHw1Zhw/F1x6VEauURnD14Nqzx5P/JLqVEpAx9oh45d+Qg544cnNlyBlve2ILdn+yGrSJ8I5aSMtLj03H7wNtx+8Db0XFRRxw/d1zpkDyM6TAGy69drnQYimu2iZNmhAYaTWT++KUJpXjxxRdd20OGDMGYMWOUC6iRtBvZDjd8fwPObDmDvcv3uu55MZlM2Lt3L0Sx6dw86RSdUIGTsYaCNk6LrpO6ouukrgCA0mOlOLLqCI6sOoKjPx5lNxYiahZaD2qNywddjov/fTF2fbwLW9/YioKd4R2tlIg8RWbmEAZP//q00iHUboXn5rRp07BgwQK0aRP5syrXVetBrdF6UGvYbDYsWbIETzzxBMrKmtZcUH8X/q50CFGrRccWGDRzEAbNHASH1YGTm066hjxn6xARRbuY5BgMvnswBt01CKd/P42tb2zF7qW7YTfblQ6NqNnhJfImYunSpejevTv+9a9/wWqNvivua9euxcCBA/HAAw80uaSJwketU6PD6A4Y9+w43LntTjyY/yCmfDgFfW/oi7iWcUqHR0TUaARBQNvz2+KK967Ag2cexMT/TER673SlwyJqVpg4NSEmkwkPP/ww+vfvjzVr1igdTkicPn0af/nLXzB27Fjs3r1b6XCoiUnITED/m/rjqv9ehYcKHsKMzTMw9umxaDeyHQQ1hxgnougUkxKDofcMxV277sKtG25Fvxv7Qa1XKx0WUdRrtl31mrL9+/dj/PjxuPbaa7FgwQK0bdtW6ZDqzGq1YtGiRfjnP/8Jo9GodDgUBQSV4Or2Oeofo1BpqPQY8tyQa1A6RCKikBIEAe1GtkO7ke0wYeEE7PhwB7a+sRVnD4R3UB2i5oKJUxP22WefYcWKFXj88cdx//33Q6fTKR1SUFavXo177rkHBw4cUDoUimIxyTHoeVVP9LyqJ0RRRPH+Yte9USfWnYC9kvcHEIWCIDpw6QWRfWEi68DXwEyvEcEEoWYJtl6tBrRaQKORirzuq87ferDHxsYCcXHSa9YiLi0Owx4YhvPvPx8n1p9A8b7iRngnwyO5XbLSIRD5JIhNaeiyECgrK0NycvT9g+zRowcWL16McePGKR2KX7m5uZgzZw4+//xzpUMJOZvN5neURqfDicpzlWGOSBrpz2q3wmw3w2K3oNJe6SoWhwVmm1Rvdphh1VphUUnHmO1m13Fmm9mjzrWsqrc4LHCKToiiCKfodBUR1dvu+7zrRUhfPwIECIIAlaByrQezVAkqaFQaqFVqqAW1x1Kj0tSok5dahxZaixYalQYatQZaQVrXqrXQqrSuOp1aJ63LdSppv/txOpUOOrUOeo1eWqr10Kq10Kv10Gl00KuqllXbGlXDr1dp9BroEvxfKBGaUC/F5vUXyFPU/J6sVkCvD1sszZZeLyVQ3iU+XlomJwMpKf5LejqQlSUlYxTRInE48gmdJ2DljSuVDqNRyLmBwWBAUlLtk/myxSlKRHL3vcrKSixYsADPPPMMzGaz0uGEnUqtQlxawwYuMNvMOF1+GvnGfJytOIviimKcNZ/F2YqzOGuuuW2oNMDisIToJ6BQUgkq6NV6j0Trh5t+QI+WPZQOjYgimcUildLShj1PRgbQunXtJSMjYAsXUXPExCnKyN33HnvsMTzwwAOKd99bsWIF7rvvPhw5ckTROCKdKIoorijG/uL9OHD2gGt54twJnCo7hdLKBv6hpIjhFJ0w280w26svIlgd0TdSJhFFqMJCqWzf7v8YlUpqnZITqXbtgO7dgW7dpGV2tnQMUTMTEYnTkiVL8K9//Qv5+fno378/XnnlFQwZMsTnse+//z5uvfVWjzq9Xo/KyvB3haovlUqFxMREGAyN0yfcZDJh7ty5eO+997B48WKMHz++UV6nNkePHsX999+Pb775ptFfKzU1FSUlJY3+OqFktBqx7vg6/HDkB2w+sxkHzh5Aiblp/QxERBSlnE7gzBmp+BIbC3TtKiVR/foBAwZIpU2bptUHlaiOFE+cli5dijlz5uD111/H0KFDsXDhQkyYMAEHDhxARkaGz8ckJSV5DCwgNLF/pHFxcTh48KAruWksBw4cwEUXXYRrrrkGCxYsQHZ2dqO9lqyiogIvvPACXnjhBVgsjdtVrHfv3li8eDG++OILvPLKK436WqFQaa/Ekj+W4NtD3+LX3F9hc9qUDiloWpUWmQmZyIjPQEZ8BlJjUxGvjUecNs5VYjWxHttx2jjEamOhU+ugElRQC2qoBJW0rnJbr6r3VQfA476oYIvNYYPNaYPVYYXNUbX0se29z2K3eNzPVeMeL5vZ53qlvelcuCFqlmJjgfbt6/dYUZQSCYcjuGK1Rv/Ne2YzsHOnVJYtq65v2VJKoIYPB8aNA84/H2giA1cRBUPxxOmll17CjBkzXK1Ir7/+OlasWIF3330Xc+fO9fkYQRCQlZUVzjBDLiMjA++++y5mzJiB2bNnY9u2bY32WsuWLXONvtdY3fdEUcTXX3+N+++/HydOnAj587tLSkrC/PnzMWvWLGi1WnzxxReN+nqhsOboGsxcMROHSw4rHUpQuqV1w3W9r0PfzL7om9EXnVM7h2RQg2jlFJ2otFfCaDXCZDXBaDVK6za39ap6j7qq9URdotI/AlF0Gz4c+PHH8LyW0wkYjUBZmVQMhvotKyrCE28oFRdL7/OPPwL//Kc0aMWoUcD48VLp25dd/KhJU/RMyGq1YuvWrZg3b56rTqVSYfz48di0aZPfxxmNRrRv3x5OpxMDBw7Es88+i969e4cj5JAbNmwY/vjjD7z11lt45JFHUNrQmz79qKiocLVwvfLKK7joootC9twHDx7Evffei1WrVoXsOf256aab8OKLLzapxLnUXIoJ/50Ah+hQOpSgqAQV3rviPZzf9nxXqw/VTiWoXK1siFc6GiJSlEoFJCVJpSFsNuDsWeD4ceDoUeDYManI6ydPSi1ckayiAli5UiqA1CJ14YXA5MnA1VdLLYH18H//B7z5ZgjjDKHzzgNeeqlhz/HJVZ8o3pNBFKX8vaDqljhjYSoeegjIzQWKihQNrVY6HdC2rXRbnntp27beHzcPiiZOxcXFcDgcyMzM9KjPzMzE/v37fT6me/fuePfdd9GvXz8YDAb8+9//xvDhw7Fnzx6fI8lZLBaPLmNlZWWh/SFCQK1WY+bMmZg6dSoeeeQRvP3222isUeIPHDiAiy++GFOnTsVLL73UoO57RqMRzzzzDBYsWACbrXG7nfXv3x+LFy/GyJEjG/V1GkOSPgkTu0zEikMrlA4lKE7RiRHvjkBKTApGthuJ/pn90TapLVontkZKTAqS9clI0ichOUZasiWKiKgRaLXSAA1ZWVKXN29WK7BvH7BjB/Dnn8DPP0vrkay4GPjsM6nMng3ceCNw991Ar151epqTJ4G1axsnxIYKRYPasOxhDX+SACorpfcxN9d3OXlS6pEZaVq2rJkUuZfMzMZt1FR0HqczZ86gTZs22LhxI4YNq/6QPPzww1i3bh1+//33gM9hs9nQs2dP/OUvf8FTTz1VY/+TTz6J+fPnhzTuhkpISEB5ebnf/Zs3b8asWbOwefPmRo0jLi4Ojz32GObMmVOn7nuiKGLZsmV48MEHcerUqUaMEEhOTsbTTz+NmTNn+p0n6d5771X8Hqfa5nECpPfsnT/fwQc7PsBvp36D3Rk9k6/GaeOQrE9Goj4RsZpY6DV6xGhiXEWv9tx2r5OH5JaLVqX12PZXtGrfx6kFdZO757ExOJwOmGwmlFvKUWYpQ7m1HOWWco9lmaUM5ZZyGK1GOEVn2GMUBAHx2ngk6ZOQpE9Coj5RWuoSa9TFa+Ob3O/V6rC63mP5d1BmKfNZZ3Moc7+jXqNHoi4RifpE1/sur7svk/RJ0Kv1/n8HTWEep3HjwtdVT0kFBcCaNdLPumqV/8EdIokgADffDMyfL535BuHFF4G//72R46qnCy+UfgVKcjqlVqLakqLCQmVj9EWvr06AsrNrJkXZ2VLvz1BrMvM4tWzZEmq1GgUFBR71BQUFQXfF0mq1OO+883D4sO97R+bNm4c5c+a4tsvKysIySEJDDB48GL/99pvrPq+zZ882yutUVFRg3rx5ru57F198ccDH7NmzB/fccw9+/vnnRonJ3W233YbnnnvO7yAhTYkgCLh94O24feDtKLeUY+3xtVh9dDVWH12N/cW+W1ebigpbBSpsFcgz5ikdCgQI0Kl1rqRMni9JTtZqq4vVxCJRn4gEXQISdVXLqpNHed19n14TuSeKapXalXy0QZtaj3WKTlTYKmokVL6SLI8EzE99YwytLkDwOLn3lWjVuk9fvS9WE+s3AbA77a6kxj2x8Zv8WMv8Ht9Y86jJyaZ3giP/vD7r/dTp1LxpP+pkZgLXXy8Vu11q2Xn2WWDPHqUj808UgfffB5YvB774AgjhrQTRymisvbXo1CnpekakycysvbUoPT3yB2VUNHHS6XTIycnBmjVrMGXKFACA0+nEmjVrMHv27KCew+FwYNeuXbjkkkt87tfr9dBH+pUwH1QqFW6//XZcddVVePTRR/H66683Wve9gwcPYsKECbj66qvx0ksvoZ2PKz5lZWWYP38+/vOf/8Bub9zWkoEDB2LJkiU431fXhCiQqE/E5O6TMbn7ZABAibkEh84ewqGSQ9XLkkM4VXYKhaZCRVoDmioRIiwOi3TS2sjz/2pV2toTraplkj4J6fHpyIzPRGZCJjLjpdEJ43WRcTOUSlAhQZeABF0CWqFVg5/PYrf4bOEK2Prlo95oNQKQfq9ycnK6/HSDf173JMO9Zch9bq1Q0ag0Hi03fpObIJKeBF0C7zuk4Gk0UgJ13XXAV18Bt9wC1NLbRXFGI3DppVISdf31SkejGIcDyMvznxTl5jZ8DuTGEBfnPyHKzpbuMYqJUTrKhlP85oQ5c+bg5ptvxqBBgzBkyBAsXLgQJpPJNcre9OnT0aZNGzz33HMAgH/+8584//zz0aVLF5w7dw7/+te/cOLECdx+++1K/hiNJjU1Fa+++ipuv/12zJ49u9ZBMxrq888/x/fff49HH30Uc+bMgV6vhyiK+Pjjj/G3v/0N+fn5jfbaANCiRQs8++yzmDFjBtTNaMby1NhUDG07FEPbDq2xz+F0oKiiCPnGfI9SYCyQTiSt/q+GN5XBKJoqm9OGEnNJveffitfGIzMhE60TW6NLahd0btEZXVK7uEpKTEpoAw4TvUZqxWsZ17LBz+UUnTBajTUSqnEfjmvQc56rPIdzlecaHJ+7S7teir+P+HuNpKfWLm5E4aBSAVddBaSkAJMmRWZThMxmk+57Ou88oGdPpaNpFAZD7UnR6dORN+aHIFTPg+yrC127dkBqauS3FoWC4onTtGnTUFRUhMcffxz5+fkYMGAAVq5c6RowIjc3Fyq3u7xKS0sxY8YM5Ofno0WLFsjJycHGjRvRq443FjY1AwcOxC+//IIPP/wQDz/8MIoaaUiTiooKPPLII3jvvffwyCOP4J133sEvv/zSKK8lEwQBM2bMwDPPPIOWLRt+shVN1Co1shKykJVQt1EERVGE2W726Gbkq+uRe53RapRaa+wW19xElfZKWBxe23ZLo3VDak5MNhOOlh7F0dKj+CW35r+xDikdML7jeFzU+SKM6zgOaXFpCkSpLLl1KEnfwNHJwiA7KRsXtL9A6TCI/LvwQuCRR4Ann1Q6ktqJIvDqq0ATmJ/RF6MRWL/ef2IUiY1+CQnSNGf+Woxat+Z0XDJFB4dQgnwDmJICDQ4RyLlz5/DEE09g8eLFcDqbdjeuIUOGYPHixRg8eHC9n6MpDA4RbZyiE1aHFZX2SlgdVtfksVaHFRaHpU7bcp2clLlPKuuxbvNdr/SQreEgQMDAVgNxSddL8PCIh5GgS6j9+PnN4LIfhZX4RC2nChwcoun46CNg+nSlowhsyhTgyy/97o7kwSEijVoNtGlTs+uc+3ZycvNoLfKnyQwOQfWTkpKCRYsW4a9//StmzZrV6C1CjSEtLQ3PP/88brvtNo8WRWoaVILKNUKe0hxOB8qt5TBUGnCu8hwMlqpl1fa5ynMoMBXghOEEDpccbpKDcYgQsTVvK7bmbcWnuz/F19d9jZ7p/rux1HqS24Q1lYQwWt9/auIcDmDpUqWjCM6oUUpH0KRotUBOjtTD0bvlqFUr6XY3Cg2+lU1Yv379sH79+rDdgxQKKpUKM2fOxFNPPYXU1FSlw6EooFapkRKTgpSYFLRH+4DH55Xn4cejP+LVLa/it1O/hSHC0DpUcgj/3flfPDPuGaVDIaKmQhSB++4DVjSB+QTbtQOi9L71xmKzAb/9Buzc6b+7Xfv20gAN7HLXMEycmjhBEHDjjTfi8ssvx/z587Fo0SI4Iu2uwirDhg3DkiVLcN555ykdiiLe3vY2Ptn1ieueDffiPpRyjX1V8yPxBvPQyIjPQL/MfsiMzwx8cATKTsrGzEEzlQ6DiJqKP/4AnnoK+PZbpSMJrHdvYOVKIDFR6UiapIoKYP9+qfgiCNJ8yt4JVXMc5KG+mDhFiaSkJCxYsAC33XYbZs+ejbURNKV2RkYGXnzxRdx0003NulveqbJT+Pl4/ea/Ugtqj0QqThuHeG084rRx0rouHnGaqqVc573frS5WG+uaw0in1kGvlpZqVdMdzdDqsMJoNcJkNcFkM8FQaUCBqQAFxgLkG/NxpPQIdhXuwt6ivU3yvqhkfTLuGXIP5o6cGzFDmRNRhLJYgJ9/BhYsaDr3dl10EfDpp9KZexOWkyPN5RuJI+aJojTUeV4e8Pvvvo9xH1bc14ARzb3ViolTlOnduzd++uknfPbZZ3jwwQdx+nTD5jxpCLVajdmzZ+PJJ59ESkqKYnFEA4foQGllKUorG3fyBpWgciVRclLlnli512lVWqgElauoVWrPbaH2bfnncjgd0lJ0wCk6q7edVdvuxzgdsDgsruTIPVGyOxt3fjEl9M/sj0u6XoJJXSbh/LbnQ6vWhuR55VEXDZUGmO1m10iJ7kt50A670+56/4NZdzirtn2sux8rQoQoinD9VzVOkUe9V911fa4L6jh/dbURUPMSq69WXgGCq97XugAB1y671rXua7/3UiWo/O73tU+uUwmqem13SOmA6/s233lyopIoArt2AatXS2X9esAc+nnJGkW/fsDzzwMTJ0ZFU0dysjQdlS92O3DmjP8R906cAMrKwhuvt2BarVq1qr1LYIsWUfGr9ImJUxQSBAHTpk3DpZdeiqeeegovv/wybDZbWGO44IILsHjxYvTr1y+sr0sN4xSdMNvN0kSgHHE8bDLiM9CzZU/0aNnDteyX2Q+tEus3Ie1Jw0m8tuU15BvzfQ6YYbAYIirR1Kl1GNR6EHq27InU2FQk65ORpE9Cgi7B1TqqUWlqTdTdi5wEuSct3tv+9gHwmGxcTrjcEzHvY5yis0bSJi997ZPrnKLTVe8UnT6LfLx3kS80yBcb3C8y+Fp3vyhRbonA8ZApOKIIFBQAx44BR45IN7Vs3w78+SdQXKx0dMHT64GpU4EZM6SBIKL1LNuLRlOdYPjjb56nEyeqW62UHFBZFKXk78wZ6b4qX+LjfSdU8nqbNk231YqJUxRLSEjACy+8gFtvvRX33nsvVq9e3eivmZWVhX//+9+4/vrreU+OlwRdAlJiUlBhq4DVEcETEFLIxGhikBabhrS4NKTGpiIjPgNtE9uiTVIbtElsg+zkbPRo2QOpsaHtmpKdnI2/j/i7a4Le0srS6nVzKUw2k+cw7w5p3e60w+awwe60S+tOm98693r3Ou8T/GBYHVZsPLkRG09u9LlfbrFUq9Q1lt4Jk8e2INTY76sVRz42mP2+jg1UvOOqa5Efr1apoVFpoFFpoFVpXetyiVHF1KjTqmsep1frsS1vm2tkTLkk6ZOgUfG0IOzsdqmZoaxMOms2GKrXCwulJOnYMeDoUeD4calJoCnq3BkYP14aGn78eKlZgmpITgb69pWKL96tVnJC5b6t9FxRJhOwb59UfPFutfLVJTBSW634DdkM9OjRA6tWrcIXX3yBBx54ACdPngz5a2g0Gtx33314/PHHA46B31w9NPwhPDT8IQDSENpmuxlmmxkVtgqY7VXLqm1fdfK2nHh5d63y7mLla588hxJV8z559C56tT7gMS1iWriSI/dEKU4bp9jPlRyTjBJzCVJjU5Eenw61IJ10+0o+3JOQUHNvMXFvJQmmyC0m7o93b6HxXvduyXFv7fG3L1Drjvcx3i06cldE9+6KNocNFocFZpvUemuymbAjfwd2FuwM2GVQacn6ZKTGpqJFbAukxqYiNTYVYzuMxR05dzTK5yNsjEZg7976PVYUpRtTaitOZ/V6ZaVn8hNo3WQK7c8aKTIypCRJLh06KB1RVKhLq5V3UuV+r1Wkt1olJPjvDijfa6UNTe/1OmHi1EwIgoCrr74akydPbtDku/7odDokchScoKlVaiToEgJOZNoYRFGEzWmDxW7x2YrgXtxbGjzqvVod3CfErbRXuhK1SkclrPbqiXItDovreI8Cp2syZ/cTS9e66NZFStqACNHnvR8qQQWtSuu60q5VaaFT61xX3+X7s+R7t1zHuV2Zd7+a76tevt9LTqy81yPlqv0ln1yCUnNp4ASlKqERRdHVsuGvZcf9XrWA97X5aRGq7T6cQPsA313vgtkGqu95qsu6d8Lkb9vmtPmc7NloNYasa6Sv1jeNSuM3GZY/k95L+fOfrE92DeefEpOCFrEtPLZTYlKQFpvW9HsQ/P67NGIbNY64OOlepQEDgP79gREjgD59IrPJoBkIptXq9Ona77VSutVKvtbh73qHIACtW/u/z6pdOyAlJfQfwcj4605ho9PpkJaWpnQYpIAKWwWKTEUoriiG0Wr0aMHy29Jl97/fuzWMqqkFtc/EKlYTi3hdPOK18dVL93WvZUZ8BkZ3GF3n1//3v4GvvgLSsA91/dcuJahOiIKzeik4qupFQHBKR8lLOAFBfoy09NgvOGF3f5zreaqWcl0t2wCqntuzDkDVcd7xV28JgtsfTqFqG+7bVYk3pB0e64IAFQQAQtXj5ORNSsUEQYC26slVggCVSoBGLUClAtRqAWp5Ww2oVUJVXdW+qv1qtQCtRg2tSg2NWio6jQY6jRqxejVi9GrExagRGyNtx8YKSE6WBh5r0QJISuK5KYVRcjLQvbtUunWTln37Al27AuqmOyprc6PRSMlFez9TH4pi4HutzpxRvtXq9GmpbNrk+xhfrVbe91rVtdWKiRNRE2V32pFXnoc8Yx6KTEUoqihCkakIhaZCab1qu6hCqquwNdF+8U2QQ3S4ksuG6JbWDQdmH6jz444cAX79tb6vKgBQV5XGlZEBrFsXmueSx2oQRf9F3i/3qrLbpeK+brdLPa1Mpupy+jSwdKl0T36kUaulq6otWgDZ2cBNNwHTp/McluohNla6hO9d5JtRuncH0tMjIlPvG38Uc4bmKR2GT4l2Cz67uvaBOjQxGqR2S0XL7i3RskdLpHVLgzZOgX5nfgiC9L2SkiI1JPpis1Xfa1VYWPvznT14Fge+9jNMXziUSqVkB1AC4M+qagFAi1gz4jXBD6zCxIkoghmtRuwr2od9xfuwr2gfThhOINeQi1xDLs6Un4FDjMzJjutLLahrzDkVp42DTq3ze+O8d3cwAH5HIvNXbE4bbA6pm5W/YnFwmMFQMxqBxYsb/jz+kiZ/dbUlTg6HNIqzySTFZzRKg5VZ6vjr12qlgcN0Ot/L2FipaDRSUaulpV4fuMTGShf+U1Kql3LypOFfdXKn0UgfjORkIDNTSoJ8JUetWzep5sskUx6Sfo/c+an8jIlQq+R2yUjrnoa07mlo2aOlK6lKbJMYkV1ltdraW63c7f+qCHmPRObvyw6gAMHP7civWKIIYLKasLNgJ/YW7ZVKsbTMNeQqHVpQ4rRxyIzPRFZCFjITMpEZn4n0uHQk6BI8JuX1NzGve4IUqURRhN1p9xh8Q25Vqq2YbCZpWTXfVJmlzGcptza/IaJjYoCLL6774+rSouSdFNlsUhJUWelZ5GSprAywWqvrKiqkx9aVzSaVQLRaKZlyL3q9dMuIXGJjq9fj46Xz28TEmsvkZM+ESq+ve9zUSFQqKYnRaquzZe9tX+tarfRLd/9A+Crx8dUJkpxJp6RIH54IPOmmmgy5BhhyDTi6+qhHvTZei7RuUjLlnlRFWitVc8HEiUgBoihiX/E+fH/oe3x/+HtsyN0Q0aPdaVQadEzpiK5pXdE1taqkdUXHlI5oldhKkUEuwk0QBGjV0qAT8YgP+fM7nA4YrUaPZCraWhS9xcYCl1+udBSBiaKUVJ07J/X7P3fOc91Xnfd+f3ORyglWYwysFhPj2Srlq5Wqtn0JCUGec7OZKzCnU8rIrZH7PR8R3OZHI4nNZEP+n/nI/zO/xj65lcqVVEV4K1U0aLbfdtdddx10Cs2+FRMTo8jrRqshQ4Zg+vTpisYQ7BfUvqJ9WPT7Inx/+PuIb03qltYNEztPxIQuEzC6/WjE60KfLFA1tUqN5JhkJMckN/i5xsdvQlrnEyGIqnGpBCde7XOuZr1GBX2SHjHJMdAn6aFL0rnW9Ul66JP1rnXveo0+9H/WBEFKIhISpCFw68NiqU6kvM+d93+9H9vf297QMP2zAyiuKm4qqoq/O0VUgogYlQWxaitu+e5atOiQ4ufAJjxMOVEj6TGlBwwnDSjeXwybKYjm53qorZWqZfeWNbr+sZWq4Zpt4vTGG28gObnhJyj19eabbyr22hQ6YpBXx85WnMUTa5/A61tej+hWhKyELDw26jFM6jIJHVt0VDocqie96Sy0R+o+qETYCED7Ue1hMVhgKbPDUmZBpaESTlvDh2hS69R+kyt/CZivOrU2tKMr6PXSYBgZGTX3lf9Qij0R+vuyVRWnLXK/txoVW0Coni597VIkZCVAFEWUnynH2QNnUby/GMUHinF2/1kUHyiG4YShUV7bZrIhb1se8rbVvCxSo5WqKqliK1Vwmm3iFM2CPZmn8LA77bj808ux8eRGpUOp1bC2w/DltC+RmZCpdChBm/fjPJhsUTp5ZC0uaHcBrul9jdJh1JtGr8Eta2/xqBNFEQ6Lw5VEWcosUjFY/NZ5r8vHVBRXoKK4YSMaamI0tbZsBdP6pU/UQ6VhawxRcyYIApLaJCGpTRI6Xuh5QdJWYcPZQ2ddSZV7chXuVipdgg5p3dJqJFVpXdlK5Y6JUxTiFYPGUd+ENN+YH/FJEwDcdt5tTSppAoC3tr2Fs+azSocRdg6no0knTr4IggBNjAaaGA3iM+rfLVQURdjNdr+JVl0SMHuBHaaChiXm2jhtrS1b+iS9z6vCFCH497Rx8AIvAOn7Iat/FrL6Z3nUy61U7snU2QON20plNVprbaXySKaq7qdqjq1UTJyiEFucIkubxDa4sd+N+O/O/yodSq2eXv80BrYaiIGtBiodClG9CYIAbZwW2jgtElsl1vt5RFGE1WhtcPJlLbfCVmGDMc8Ywp+SiKKZeytVp3GdPPbJrVRyMhXOVqojPxzxqJdbqeRkqjm0UjFxImpkgiDg/Svex4UdLsQjPz2CfGPNkXEiwQnDCQx/Zzhu7n8zLul6CcZ1Ghfxo+W9eNGLqLQHP/9CXa09vhbL9i5rtOdvLL/of8HnmZ8rHUatXm3zqmtdq9UiPT0dmZmZyMjIcBXv7fT0dGjCNIKbIAjQJ0rd7dAmuMeIogiTyYTCwkJXKcgvQOGpQhSfKcbZ4rMoKi5CcXExDAZDk7rIdYN4A9KQpnQY4deEfkfUPNTaSnW6XLqHyqvrnyFXgVaq9smuASqspugZTbL5Jk7JyYjar8Nm1myqmDr8QVWr1Lj1vFsxtddULN2zFN8f/h6rj6yOuLl7LA4L3tz2Jt7c9iZ0ah1Gtx+NS7peggs7Xohuad0Qo4msESFvO++2Rn1+p+hskomTwWLA4YLDisbwj3/8AxUVFR5JhFwcjpoDDZw4EdwogGlpaX4TK+/txMSGdyOx2WwoLi72+XN4JEgFBSgsLITZ37jjQYiLi6vxM2RkZGD37t345ptvGvRzNJQoRO1fTKKoIAgCktomIamtn1aqg2drJlWN2Up1wgDDiZqtVE1d802cohGvjEW8RH0ibh94O24feDusDis2ntyI7w59h5WHV2JP0R44xYaPKhYqVocVq4+uxuqjqwEAAgS0T2mP7mnd0T2tO7qldUN2cjayErJcJZInsKXwuv/++9GyZcsa9U6nE6WlpUEnIgaD55XSs2fP4uzZs9i3b1/AGGJiYgK2YHm3EHnHUFJSUu/3QKVSIT093edr+yrx8b7v7Vq4cKHiiVOzxQuRyuE5Tcho47TIGpCFrAH+W6m876dqrFaqpo6JUzThF3zjaKQvb51ahzEdxmBMhzGuLmcHig9gT9Ee7Cncgz1Fe7C3aC+OlB6JiIRKhIjj547j+LnjWHVklc9jUmNTkZWQhcz4TCTHJCNOG4d4bbxUdPHV2zqpLk4b51r3tV+tCu2Q0DV+JlGE3WmH1WGF1WGFxWGB2WaG2W6G2WbG0dKjgZ+E6kSlUiEtLQ1paWno2bNnwOMtFguKiooCJlhysbpNklRZWYnc3Fzk5oZuzrSkpKRakzH3kpqaChXnOCKiCFVbK5XVZEXJoRKPpKqxW6maAiZORBEiRhOD/ln90T+rv0e92WbGgbMHcKD4AHINuThhOIFcQ66rlFaWKhRxTSXmEpSYS7C3aG9Ink+r0kKj0kAlqFxFrVJ7bKsEFdSCGoIgQBRFiBBrLB1OBxyiw2Npd9phczbfL/+mQq/Xo23btmgbxMyzoijCYDCgsrJx7ntLSUnhBOY+2O3AXbezdUAmCJ7Fuy5Ux6hUgFpdXTQa3+vB7NNoAJ0OiImR5hyLialej48HEhMj69qsPkmP5PbKzcUZDEEdQW9YPejidbW3UslzUlW1UpUeLYXTrvxF3vrQO/XAyeCOFcSmdHdqCJSVlSE5ORkGAElKBxNqzetXSVWsDiuKK4pRaCqsUYpMRSis8KyrsDVsfhsKr1hNLBJ0CR5lWu9puO/8+/w+ZtYsC957zx7GKH2J83l/0S23AEuWhCcCux2orJSK2Vy97l387atvvb2Bb7180lp98mqDTmdFbGzNk9qax9asC6Zer5dOxP2JjY3123pmtUqPbwquvx6YPDk0zyWK1X925XV/dU6n9LmQi8NRvW61AhUVgNEImExAeTlw4ACwb1/k/FlXq4HU1OrSooW0bNkSuOMOIIjG45AT5jftxIQiSCWA5wGDwYCkpNqzA7Y4RZNIuhzU3Cj4102n1qF1Ymu0Tmwd1PF2px1mmxkVtooaxWQz+ayvTxGjdPgVjUrjagmL1cYiRhODGE0MYjXV6646eb/aR50mBom6RFcyFK+Lr5Eg1be7otOph9kcmWeyBQXA9u3BJSINTWp8jEERFEGQkonYWN/JRmwskJAgnTR61/s7Pth63wmMtqpQQ8kJTEPVliQFkzi5F5tNSp7ci8USuj8rKlV1K5P3UqfzTJ691+WSlASkpFSX5GQpeerXD0hPD02cdSU+EX1/Y5pKMhht731ZWRmSnw+uBbPZJk6Ws4UwxOlgcVhQaa+ExV61rNr2VSdv+6rzeFyQz2l11D48o1al9TgJ02v0NU7MYjQx0Ktr1vuqq+tz6NQ62Jw2j5/bvbj/XB71dT2+luexOCy1vkdqQV3j55J/Fr916tqPd38vgqnTa/So9S6G06eBhx6q+4e0kWgAJFaVoLgn5K71WKkILX0eJ0KERSWiQrBLRe1EhWCHAyKcggiHADghSkUAnIIIJ6rqVAKcAuAQRDgFoWp/1TFu2ypBgEpQQYBQ1WVPgFDVdU+uE9zrVWoIKhVUKg0ElQpqtQZatQ5atRYatRZatRZata5qXScVTdW2RgetLhZqXQwEnU4629BqpSKv+1rqdNIZCi9quHz+uVTCSRCkk70WLTxP/uRt72ViopTUeCc2couPunFvvaNGdOYMsGNH3R7jnRT5Ku6JkXtrktyiZLHUTPYrKqTWpfIQDK4qCNJnU06E5HX560juiicX9/06HRAXV11iYz23k5I8S2KitIyL41cbNT/NNnHSa/RIilG2s55TdMLqsDY8UXOryzPm4Yt9Xyj6c/kysNVADMwaiGR9MjLiM+qVtHgnO3qNHhpVE/gIl5cDn36qdBS1u/xyYN68+j/e6yxCEEXEOJ2IEUWkBnPW4e9MxOGQLsf6u1Tr69Ktr7MV+YzFbJZ+H2fPAsXFQFlZ6N5Df1Qqz+YF+Yzcfdv97EQ+K5FLairQpg3QujWQltbkz1RuvhlYuNB/y1Fdt4N9TGmpVEJBq/XdYtTY2zExTNoa6rLLgL/9TekoPDmdUhe9sjLp66msDDAYgHPnpFJaWr3ur7h/5sNFrZZantwvRgRT5MdE2n1TRMFoAmed0UslqFyJQKicNJzEvqLAw/SG26zBsxp9zh1qgMxM4PzzlY4i/KxWoKQEyMsD9uwB/vEPIIQjsAGQzooqKqTSUHo9MHw48MorQO/efg+Tu+ZEopgY6aQp3ERR+nXXJfkym0VUVoowy/vNIiotQGWlALMZsMjHV9VVVuXl3s9p8xiDpGFnivIN/OFO3LRa/ye5ajXw3PNO2J12OJx22J0OOEQ77A4H7KK9qt5RvV90uI6zO6v2i27rVceEmgoCDsSfwrMbil0X39yXOrWuRl1ty1BduFOppCQi0U83AFEUXaN+yj0x3JdWhxXlFVaUnHOgtFREaamIcwbAcE5AmUEFY5kKNq/3P9QECBBUGpgENSrVGhRbNFAXqaE5q4FG0ECjVkMtaKBRqaFWaaBRaaDTqJGSIiC1hQppLdRIS1UjPVWL9DQt0lN10Os4IiVFnuY7OEQQN4A1NewbG6H271fmztm6uPlm6WS8PurbolSXvi/erUn+6ty3bTbPliZ53b3FSS5ecwU1OpWqZgtUcnLNPjHyjQWZmUBWFtCjB5Cd3SiXaZ2i02Mo9gpbhWvdva7SXgmb0wabwwab0yaNTuiwuUYpdF+X97nWfdXVdrzDBofo8DlaolN0+hxB0Sk6fR4vj8goVCUu8iiM7uTBLOR6QRCkE8KqpdT9s7pO7hYKwHVPn/xY9233de8BM2o73tc2gBqjSvoqakHtMRKlWlAHtbwz505M7DKxIR+lkPBOFrwTB6vDWiN5qPP+IB9rsBh8DqqjElRBJVnuCZlGpak1CfK19Netv0VMC8Rp4/wmfjq1rmYctSSKDdmvUWkaPNk08TxOKXXJDSL0miRRFNHrIfbp43Uy53lyp7jffwWG5lSdEFadHLruGRIA+fTQ5/1OIV53H2u3vtu+9rmNv+tMS4MzPQ0OVQ/pfisV4BAAR9VSVKsBtQqiqmqpVkPUaiBqtVVFGr9X1Gkh+lq6jtVA1OvhjJGKWLUM5r4nlaBynax4FKcNWpU24EmKU3TiaOlR7C7cjQJjAUrMJSitLEWpuRSllaU1tsssYei26EdqbCoy4zORmZCJ9sntkZWQhdTYVNdcX/J8X7GaWOg1emhVVfekuS11Vfer+dqnVWuhEqLj6rWcNLoPr+8UnR5D7cv75ZYe99Yc7+Jweu7rltZN6R8RgJS06jXSSToUHudk4W8LMWfVnBr1oii6usw3JsFPK+XGv25Ej5Y9GvW1myJRFGv9zHsX+WKLU3S6Lsi41wW77V3nfVFEjs217nWxpSlZtmeZx98g98+or3q5ri7b3uvuxwTaH6uNxZA2Q0L5I7swcQqSw+nwuMoqL73/wfkr7v+waj0uyH90/q5uNgXfHPjGtV7bP56Grtf2j6u2fS3jWqJdcrvQ/cAdO0LYtctvBx1RFGFz2lyTsAZbbI66P8bqrN/zus935H4SL1919FU8TvpVtexzKypB5Tcu+cqwr59D2mf2/ThH9ePsTjsECFCr1H7j9lfkk/Pai6NqCejUKujUaujUzqp6u1QHAToRNd4T7+dvyOS/60+sx73f34udBTsj+rvh6bFPY1qfachOypZOkCPcioMrMG9NA+4FbMK++cs3aJ/SXukwwi6SWwB6LpF6MkTb1f9g2J12nDScxJHSIzhaehR55Xk4V3kOZrvZo1XcvSXc5rQFdb7mXuQLE97nab5au71bl93rBAhIj09Hy7iWiNHEeFzscW/1vWXALVBB5Wrdllu1vVu43c9f3Pk7z6ktMXF/rPsx7nVyvby9q3CXR72vY33xd8HPXyu/v7i94/euj9XGQi2opcGfqkbCdV/XqDTQqrX1Grm22XbV+2nfTzhReQJ7i/biVNkpnKs8B5PNBKPVCJPVBJPNBJNVGprZ6rAqevKhU+vQPrk90uPTEaeN8xggQb6iqlFpoBbU0tKt24V39w337ia+/kF6/+N075oC1MzsgZrZv/tx3uvytvtja6v31Z3Gm/y7cY9f3vaO3/tqka8rR11Su2BU+1HB/nqaFV9J3iNrHsF7299TOrQajt57FAm6hJAlI02R0WrEvqJ9KDQVulqYSswlKDWXoqSyxKP1yVBpgNludn3nhVtKTAqyErKQlZCFzPhMpMSkIF4bj3id1OoUr41HrDbWlWRq1VqPdX+tTu51wXzv1bbe0D+X3t833idnDqcDg98ajGPnjoXoXQ2dg7MPomtaV6XDCLtITpxkzTFxMpmkea/+b/97KDYXuO3xf/If6AQ/4H6Pk35/9b6TBn+JhK/HA56JRPDP43YxXRAhVp3TuJ5PcE/u3BI8uV50wlnVG8aJ6oRRhNOtVdvuKlaHBTantWqwMjOKzUUoMBXAKTprxOp93lnbeWhdjhUEwSMZClTcj0uOSUZabBo6tuiITE0memX3Yle92vTL7AdbiQ1tk9rWSCpc21Un3HKTL1Czv7qv/vbefe/dT9Jl3h9+X4lZsM283rG47/eO1/1xtV0l8dX65a9VzLt7iHuXEfebfuUrPvKIgGabdGXIYDHgxLkTKDC5f/k1Dn/9/93r5RMyf60Meo0erRNao2d6T/TN6Iu+mX2RGZ/ZLPp3C4Lgeh8i/YSi0386AWieJxWyBF0CBrcZXOfHOZwOVNorPe5zktcr7ZU+r+S6/xuvS51drHlMaWUpCk2FNe5v8nVfU7jq5D/W3n/Ma+P9fex9McfXyUCMJga90nv5Pdbfd5f3Pn/71Sq160Kbr4ttrn0qz/1pcWlBf37kLmxya7X7vWze97N5b7tf4fdOMH11iarLPl+/k2DqIt2/N/4bQN26S9W361Rt3aZqqxvdfjSyk7ND9jMvWQL8/e8AcGvInrOxLFzY8MF63D+O/m4Ldt/ndAJOR/XQ+A6HZ5GHw6+okJLQkhJg9+7QDTTr3mPe31Ie6MZ7Um95OyEBiI+XSmIi0KoV0K4d0Lcv0KlT7RN211VZHX7wZps4/fvfIo7HlLsyb+lLsureE7mualte91UnraPGMe5Lea+/Y6oTIO9EqaHb3gLUCzXranx5QnAd5/MLVpDWVK4JGwXpNhN5KVR9AQuAWhCQIACJApCtESCkACqV1/EqQCOooVKpXPP2qFUqaNRVRSNAq1ZBq1VJS01VnUYFnVbajo1RQaf1TIrlExJ/V6791cmJVHNruaCmqTkk89T4Arb6iyLOms/i4NmDOFB8AEdKj6DMUladEFe1Usvb8rp8f4m/blHyBblA+70T3WCWCboEtElsg0R9osfgB1qVtjqRFNT463l/hQDBVef9N8Q98fW1BIK7X6Ou6/5ey10wLSfy+YLT6YQ/3gm8ezwqQQVBrP3nFCDg2LljMFgMfu9BdO+uHW1atZJGpawr92TIu87p9EqSnJ7rDq+kyXuyZa1WSlDi46UxiNLSpKTEYvEslZU16+Ris0mv6Xb7sEfRSLcCu+YRk4s8h5hc72vpPdeYRiON4XTgAHD8eO2TNXsX72NqGyE0GM22qx5gABDZo+r16QO89FLDn8f7SkSgIv+Ds9l8D1rmPmlfebn0Id68uWHzR6hUwRXvf4C+/mFqtTWnymnVSno/hw2TvhzCeT558iRw113he72GOO88afC2UPL15e/rGPc/At5L+bMof+mXlHheGXP/fcrrcqIe6KpXMPvk4b19fdZ8fQ7lP0RpadKVsdjY0L6nwYrWxKmZ/dlqMrblbcNnez7z22rhqy7QvRb+uip5P48I0W8S4/06tbWQ+DrWXaBRD723a7snxrvLuPx4X/fZuPfkcF/K9266z+1otplRYi7BybKTPkcDlNXWNSrYOl8tse63EHiv+7vfJF4bj4z4DHRN64qeLXuie8vuiNPG+Y194cL/4pVXPvO7Pxw6d+4MlUqFyspKmM1m19Lh8BzuXa8/WjWQaizi4+MRFxfnUXzV+at3r4uJiQnZd7zT6YTZbEZFRQVMJhMqKipqLfIxRmMlysutMBptMBptMJnsqKhwoKLCiko/J4UajQaxsbGIiYlBbGwMYmJiYbFYcOLEiZD8LIFIf9utHkUUzTh4cDe76jV1chJTn8fVtpSvSHgX9ysU7iM7yyes3lcgKiul/S1bAmPGVI/47K+4c78a4Z4YySeq8n73Kxfuj5GvVrjPjC5foXBv8nWfk6SgAFi1yjOpClRCMdmkyQSsWNHw5wmHtm2l0a7ryl83Avdtf585X4mR++fNbJbeQ7lPu9Eo/S7Ly4OPz/1zFczVMa1WqpM/X74+T/J2bGz1HCzyFby4OOlxycnVc/E29CoXVYvWhFBp9U1IrVYr0tPTQxxN3WRmZqJjp44wmUwwmUwwmoyudV+9MPR6vXQSGh+HhIQExMVVLeOlk1PXvnipzrU/zm1/XBziE6RlQnwCdDodAP+9PryHo/eVnAmQ7qUzm82uk1P55zBXmGE0G6tPbE0VMBqN1ccYpeNMFSZojVokmBKk98IoPcZus9d4bbVajYSEBNfPJK9v2bIFlZWVcFb1qnEg9HM/1eaiiy7C8uXL/e63Ws/g6NFv/O4Ph//7v98xZIjnyG2iKMJms/lNNGor586dC/pYq9UKlUrlNxlzT7IcDkfAWMxVJ2l6vd7nc/lL3tLSkpGdHdyxctH6aH77+uuvMWXKlHD82hqs2SZOQ4ZE5gSRQ4cCAwdK6xkZwMUXh+Z5vVuQ6rJen8d4P95mq54U0ru/rfe2+99u7yRKvvJf27paLT2P1SotzWb/x/kr8nGxsdX9bOPiak69I5faT4pLMHr0wdD8IhtZbOwelJYW1/jy9PfFHBcXh9jYWKhC2dk4CHa7/+4DUlIvwmi0obzcAoPBCqPRivJyG0wm6YqYyeSouirmQGWlE3a7rdaTRqfT9wWAuhAEEWq1ExqNHWq1AxqNAxqNvWrpgFpdvV5z2/0xDgwa1BcTJ4boy6EJYotT5KnLPQKN4bLLLsPHH39co16+ku5KqKqSCHnpd91gQuHpwlofZ7V6DqKi0Wg8kg9fCYlOp3M93t9rV1RU1PiMx8TE+Hw+9/WUpBS0adXG735fsen1ep8XIjp27IjCwsLQ/pLqoCLAhOHjxo0DsCg8wfgxdKiv0XcFALqqkgKg9t4W0S74a1x9oezvsxLA34M6MgJTh/D44w+lI/DNYpHm5pQTj9deC00SU9s/XEGoTgpiY32v+1vKJSHBs3+qXNy3/a372xfEVDdNRCHWrRumaAR33XUX7r777qCugJ05U/uVLu8CSH/UA12lCpSAxcXFQa1W1+m1aytOpxNarTZgTGlpgeP2ThR79eql6O/z7rvvbtaJE0UWUVThggtmKhqDSjUYr73mcw+uvTYeGRnxIX9Nm83mN9GRyT1H3Lu8u18wtNk897vXOZ0qaLUJUKvj4HSqa53/2xerVSqlpXX/2Xr0uAHt25+t0Rsk0Hawx8nr/vTu3bvW+HJycgDk1P0HU0B0nMc0tk4A7lXw9cvAxKmJmjABmD279mQp3NulpUBRUe3JmzdBCJwg1SWZUmJbrQ7VF14s+vRRNnFKSOiPsrI+AKq7n6WkSPuGDq1/l0RRFFFZWVlrAmMOopnG6XTCaDS6trVaLZKTk5GcnOxx75179z5AjZiYeOh0ca6i1VYXjSYWgLZe3V39qawEzGYx6N9n9YAoNe+9ClRfm44dOwZ+YfgfDqbJ45lIeAR5qVwQNNiwwWfWEjYbNgD//a/vfbt3S/cbeicbvhKQ2upq1mtht6fAZkupcRxQ3f3XvZeCe3df7zr3v0X+7uH1rouLC+642up8HXPXXU+H75cX5Xbk7wxqDk+g5qiOddluyGPdt/0JNACJ93GCIGBy98tqfc6miINDRLim+ttxOoPv+udvMJ9Bg8Ibc0M4nf7P5fbvB3r2DG88dfHSS9LVP+/Rd7y3/a3X5zhB8LxvTU5U3e81kot3vb/12vYpcVygK6qNKloTi6b6hRjlrFbp/r5I9f33QOfOvhOium435mPcyR91f/+U5e/QYBOhSDymId+RFbYKrDy8EkdKjrimTHBNnWCv8Nh2X7oPi+9e5CHx5alnQiUzPhMDWw1EpxadkBab5nfyd/cpULRqrd9pBmqbgkCtUrsG6AB8D7ISaLj50spS/JL7i89j3XmnDt5Jl3sy5j1djnudfGxt00LUNsVPoKkJfO3v2KIjeqV79hqpMFbgL4P+EtTgEEyciEKgtn9FkZ447doltUDVNSlq6HZdjg1EEDx/B7Vt+xpspLZEKNTboXiugLeURWviRI2nAacCohjaOVUaWzSc9cgXJ30lY95JmLtAjdWRJNDvye60o9Rc6pq4W06O/K2bbeZaEyb3OnmOyhojHDp91AVxXKI+Ecn6ZNdogvJ8ae7zRcrDsntPneJvnlFfxwXDveVITl7k5MrutKPcIo285G+Ye4/fkdeIkrUlWXLy87+D/8NJw8karxHMkPuBloFGf/S37ah04Je7fmHi5EtTS5ya12/HU1M69ws01DZPKiKDPLqfPxpN+GJpqFp/T03pH09dRPOHs4mL1o8cKSeYf+7ROsJmMzs1V5ycGzBx8sHfm2N1WGG0GmGymqSlzeSxXWGr8DuJn/e6fKXBITpcVyLkORfcr0TIczH4Wvf1GHndezJWvUYPvVpq/tWoNDVnjkfNJl61oHZl3HJTb6CrC4Ig+P3H7D2cqvc8GQ3ha1Z37331rffVL1je72t75qCZ6Jle9+ajpvTd3ry+ETxFze+pKf0g1DQE+GJoSh+5rWe21fhb7N5SAHj+DfD398LXPSLB3nsS7GP8qc/9JgIETO19dYB3J3IwcaJwaXKJ05IlS/Cvf/0L+fn56N+/P1555ZUaY+O7W7ZsGR577DEcP34cXbt2xQsvvIBLLrkkqNeS35wHv34QB0wHUGAsQIGpAKXmUhitxoBfVuEiQEDfzL4Y1W4URrUfhS6pXZAck4wkfRJiNbHQa/TQqCLr8vgvub9gw4kNjfoav53+rVGfv76+uPYLqFW1j7AQrV/wFF5BfWXfdRfw+uuNH0xDDBokjfNfH8HM5C3PoBxskUce8e7z5L4eTL/R2viamK62SevkkVzkSerct/0VvT64IVETE6URYhISGtwkLooi9hbtxc6CnSizlKHCVoEKWwVMNpPvdau0bnFYXBcc7U673/VQ0av16NGyB9omtUXrxNZI0CVIFx/Vete9J97rOrUOapXadYFRvgCpFtR+1+Xj5AuU/u4xqW3CXfkxewr3wGQzedR5v/euda9uUx7H+ZiAVz7O3z5f95J431fifR+K9z0lvrqxed9/cm3va2v8rpJjktGjZY/af6H8m0oNVfXvpC6Jk+Jn3kuXLsWcOXPw+uuvY+jQoVi4cCEmTJiAAwcOICMjo8bxGzduxF/+8hc899xzuOyyy/DJJ59gypQp2LZtG/r06RP06z7e+VYkJSZ61ImiiEqHBUa7CSZbBYz2ChhtJpjsFaiwV8LmtMHmtMPqtLmtW111VqfNbUZvtxm/3VuRPFqiRNe69/Hy+qEzu7D/9HbPx1Y9v0allr7kVTroq24sVMutTVBBrVJBJaihgmfLkkoQpHq3PrJqwc9Jv/sXkyD9TxCEqi9W+Uu8qoVJECB4t1wJ1ce4P4cowGP4MBGeLVryHwfvL/PDJYernsb3rO/u/Vzd69xnlPeeXd5ff2HvPsX+ChMiaiwRcF2r8bz/PhBgyOGIIw/v6J1Muc8SbjYDFRXVy4oKoKQEKCyUSlFR9fqJE9J+JQmCNFOzXFJSpEkEW7WSbojp1w/o31+a6dzvUwjo2KIjrA4ryq3lrsRITpZ8bZtsJunvaFWCJN+0714nJ1C+emvU1mLkXSezOCw4ePYgKmwVMFqNiNPGuXpsuJbu6xo9tCqtRyLka91fIuWr90Vd1+V4a/s7U1vy5CtRck94DpUcwrK9y+ryiQm5l357qcbf3oldJuKr675SNC6KMiH6e6p4i9PQoUMxePBgLF68GIA0LHF2djbuuecezJ07t8bx06ZNg8lkwrfffuuqO//88zFgwAC8HsQVVldWiQi/w+nFF6Wrh/UlX0X1t17bPn/rTmf1VVnvsaGDqbNa/c9YKp98WCzAuXPS67pP/uCrBLpa62+p00lD+tS2lK/aepe4OOnkokULqaSkSI8JhMkVNVRdvqqbQovT7t1NL3FqCIejZgL1xx/AggVKR+ZfUpKUOA0eDLzwQlDfdRF5IUlwK6oA23BbhnK9vo9xF+grwN9+MQTrote6v6W/Ou/ifbz7SwbzXbd2rTRcYiRr0UIaZz4Yvv7deL8P7udk8jLQMd7cW+K9173nxghm3XtiLl+Tdfmrk4s84pF8HhfMtvdwjb7WtVrp/Q9ivpUm0+JktVqxdetWzJs3z1WnUqkwfvx4bNq0yedjNm3ahDlz5njUTZgwAV999VVjhhp+s2dLJ+pNkXu3l2ATJ7lUVgK5ucDvvwMbNwKnTin900j/AN2Tp5SU6sQpIwO46SZg+HAmRxQ60dzSJNu6VUok6qq+3fMCdd2Tv6f8tSYFU2exVLcyubc4nT0rldpGJgklnS74rnopKdUtTXKrU2am1OKUmhod32vuJ+ghnNeNGq7e1+7/+EO6wBzJ/vc/YPJkpaMIjvcFcn9F/q6TZ1e2WqXvOqMRMJmkYjQCJ08CO3dK5ehRZX82tVq6GC6XmBipm3hWFtCmDdC6tXRxKEiKJk7FxcVwOBzIzMz0qM/MzMT+/ft9PiY/P9/n8fn5+T6Pt1gssFgsrm2DwQAAKBs1KrKH0Jozp7rfua8/XP7qfF1t8HdVwtcXlndLk3xFwfsfldxlRV73vnIhx+M9m6f3FQpfRRCk2QqvuML/FQr3qw/ek+d4t0B5t07pdJ4tT3KR6+WrFPIMhcF8TsrLAx9DFKxgTlarvst86tgRuPDC0MXTGD74oHrd+zvCF3/HeB8fzHHu6/L3i/eVUffvL+86X8fJ3yHy1UpfLeH+vp+8W87lIt/XJD93sOv1ndHaG7/XAFSfN1DolZWV1e+BGRmR/x33889SyzoQ3PeaN18tTLXtD1Qvn8v5anWSz9vcz/G897t3VXafiAzw3bqUkgKMGQOMHVvzO1Xe9v7O81Xn3SqlUlWft3m3PqnVni1O7veHyomTTiclTm7ndvLnMJhEPoIzh9B47rnnMH/+/Br12evXKxBNHfz0k9IREFEkS05WOgKiZiGZ/9aoPnge1+SUl5cH/PeuaOLUsmVLqNVqFBQUeNQXFBQgKyvL52OysrLqdPy8efM8uvY5nU6UlJQgLS0tMvtiR5CysjJkZ2fj5MmTAft8EjUUP28UbvzMUTjx80bhxs9ccERRRHl5OVq3bh3wWEUTJ51Oh5ycHKxZswZTpkwBICU2a9aswezZs30+ZtiwYVizZg3uv/9+V93q1asxbNgwn8fr9Xro9XqPupSUlFCE32wkJSXxHxyFDT9vFG78zFE48fNG4cbPXGDBtiwr3lVvzpw5uPnmmzFo0CAMGTIECxcuhMlkwq233goAmD59Otq0aYPnnnsOAHDfffdh9OjRWLBgAS699FJ8+umn2LJlC958800lfwwiIiIiIopiiidO06ZNQ1FRER5//HHk5+djwIABWLlypWsAiNzcXKjcJucbPnw4PvnkEzz66KN45JFH0LVrV3z11Vd1msOJiIiIiIioLhRPnABg9uzZfrvmrV27tkbdNddcg2uuuaaRoyK9Xo8nnniiRldHosbAzxuFGz9zFE78vFG48TMXeopPgEtERERERBTpVIEPISIiIiIiat6YOBEREREREQXAxImIiIiIiCgAJk5EREREREQBMHEin5YsWYIOHTogJiYGQ4cOxR9//KF0SBSl1q9fj8mTJ6N169YQBAFfffWV0iFRFHvuuecwePBgJCYmIiMjA1OmTMGBAweUDoui2GuvvYZ+/fq5JiEdNmwYvv/+e6XDombi+eefhyAIuP/++5UOJSowcaIali5dijlz5uCJJ57Atm3b0L9/f0yYMAGFhYVKh0ZRyGQyoX///liyZInSoVAzsG7dOsyaNQu//fYbVq9eDZvNhosvvhgmk0np0ChKtW3bFs8//zy2bt2KLVu24MILL8QVV1yBPXv2KB0aRbnNmzfjjTfeQL9+/ZQOJWpwOHKqYejQoRg8eDAWL14MAHA6ncjOzsY999yDuXPnKhwdRTNBEPDll19iypQpSodCzURRUREyMjKwbt06jBo1SulwqJlITU3Fv/71L/z1r39VOhSKUkajEQMHDsSrr76Kp59+GgMGDMDChQuVDqvJY4sTebBardi6dSvGjx/vqlOpVBg/fjw2bdqkYGRERKFnMBgASCeyRI3N4XDg008/hclkwrBhw5QOh6LYrFmzcOmll3qcz1HDaZQOgCJLcXExHA4HMjMzPeozMzOxf/9+haIiIgo9p9OJ+++/HyNGjECfPn2UDoei2K5duzBs2DBUVlYiISEBX375JXr16qV0WBSlPv30U2zbtg2bN29WOpSow8SJiIiapVmzZmH37t345ZdflA6Folz37t2xfft2GAwGLF++HDfffDPWrVvH5IlC7uTJk7jvvvuwevVqxMTEKB1O1GHiRB5atmwJtVqNgoICj/qCggJkZWUpFBURUWjNnj0b3377LdavX4+2bdsqHQ5FOZ1Ohy5dugAAcnJysHnzZixatAhvvPGGwpFRtNm6dSsKCwsxcOBAV53D4cD69euxePFiWCwWqNVqBSNs2niPE3nQ6XTIycnBmjVrXHVOpxNr1qxhf2wiavJEUcTs2bPx5Zdf4qeffkLHjh2VDomaIafTCYvFonQYFIXGjRuHXbt2Yfv27a4yaNAg3HDDDdi+fTuTpgZiixPVMGfOHNx8880YNGgQhgwZgoULF8JkMuHWW29VOjSKQkajEYcPH3ZtHzt2DNu3b0dqairatWunYGQUjWbNmoVPPvkEX3/9NRITE5Gfnw8ASE5ORmxsrMLRUTSaN28eJk2ahHbt2qG8vByffPIJ1q5di1WrVikdGkWhxMTEGvdsxsfHIy0tjfdyhgATJ6ph2rRpKCoqwuOPP478/HwMGDAAK1eurDFgBFEobNmyBWPHjnVtz5kzBwBw88034/3331coKopWr732GgBgzJgxHvXvvfcebrnllvAHRFGvsLAQ06dPR15eHpKTk9GvXz+sWrUKF110kdKhEVEdcR4nIiIiIiKiAHiPExERERERUQBMnIiIiIiIiAJg4kRERERERBQAEyciIiIiIqIAmDgREREREREFwMSJiIiIiIgoACZOREREREREATBxIiKiZmPt2rUQBAHnzp2r9bgOHTpg4cKFYYmJiIiaBiZOREQUcW655RYIggBBEKDT6dClSxf885//hN1ub9DzDh8+HHl5eUhOTgYAvP/++0hJSalx3ObNm3HHHXc06LWIiCi6aJQOgIiIyJeJEyfivffeg8ViwXfffYdZs2ZBq9Vi3rx59X5OnU6HrKysgMelp6fX+zWIiCg6scWJiIgikl6vR1ZWFtq3b4+77roL48ePx//+9z+UlpZi+vTpaNGiBeLi4jBp0iQcOnTI9bgTJ05g8uTJaNGiBeLj49G7d2989913ADy76q1duxa33norDAaDq3XrySefBFCzq15ubi6uuOIKJCQkICkpCddeey0KCgpc+5988kkMGDAAH330ETp06IDk5GRcd911KC8vD8t7RUREjY+JExERNQmxsbGwWq245ZZbsGXLFvzvf//Dpk2bIIoiLrnkEthsNgDArFmzYLFYsH79euzatQsvvPACEhISajzf8OHDsXDhQiQlJSEvLw95eXl46KGHahzndDpxxRVXoKSkBOvWrcPq1atx9OhRTJs2zeO4I0eO4KuvvsK3336Lb7/9FuvWrcPzzz/fOG8GERGFHbvqERFRRBNFEWvWrMGqVaswadIkfPXVV/j1118xfPhwAMDHH3+M7OxsfPXVV7jmmmuQm5uLq6++Gn379gUAdOrUyefz6nQ6JCcnQxCEWrvvrVmzBrt27cKxY8eQnZ0NAPjwww/Ru3dvbN68GYMHDwYgJVjvv/8+EhMTAQA33XQT1qxZg2eeeSZk7wURESmHLU5ERBSRvv32WyQkJCAmJgaTJk3CtGnTcMstt0Cj0WDo0KGu49LS0tC9e3fs27cPAHDvvffi6aefxogRI/DEE09g586dDYpj3759yM7OdiVNANCrVy+kpKS4XhOQuvfJSRMAtGrVCoWFhQ16bSIiihxMnIiIKCKNHTsW27dvx6FDh2A2m/HBBx9AEISAj7v99ttx9OhR3HTTTdi1axcGDRqEV155pdHj1Wq1HtuCIMDpdDb66xIRUXgwcSIioogUHx+PLl26oF27dtBopJ7lPXv2hN1ux++//+467uzZszhw4AB69erlqsvOzsbMmTPxxRdf4MEHH8Rbb73l8zV0Oh0cDketcfTs2RMnT57EyZMnXXV79+7FuXPnPF6TiIiiGxMnIiJqMrp27YorrrgCM2bMwC+//IIdO3bgxhtvRJs2bXDFFVcAAO6//36sWrUKx44dw7Zt2/Dzzz+jZ8+ePp+vQ4cOMBqNWLNmDYqLi1FRUVHjmPHjx6Nv37644YYbsG3bNvzxxx+YPn06Ro8ejUGDBjXqz0tERJGDiRMRETUp7733HnJycnDZZZdh2LBhEEUR3333naurnMPhwKxZs9CzZ09MnDgR3bp1w6uvvurzuYYPH46ZM2di2rRpSE9Px4svvljjGEEQ8PXXX6NFixYYNWoUxo8fj06dOmHp0qWN+nMSEVFkEURRFJUOgoiIiIiIKJKxxYmIiIiIiCgAJk5EREREREQBMHEiIiIiIiIKgIkTERERERFRAEyciIiIiIiIAmDiREREREREFAATJyIiIiIiogCYOBEREREREQXAxImIiIiIiCgAJk5EREREREQBMHEiIiIiIiIKgIkTERERERFRAP8P6Z9Mgo3sfjkAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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gs21n9jolEAgEAuFJoY3OtQitgyHzSQ7F1hZBO6GiogLW1tYoLy9n1TiZPHkyDh48yIosX19fpKSksCKLLVRqFX6+9jNWnFqBUllpa6ujw83SDWN8x2Cs31iM7DwSdmI7k/UlrZXis3Of4ZuL30CqlJqsH7r42flhrO9YjPEbg+HewyERSlpbJQKBQCC0R5602O8nawpMaAQ6tgExnFiAoig4OjqiuLiYFXkAkJeXB2dnZ9bkGcOV7Ct44e8XcDPvZmur0iRcDhfh7uEY6zsW07tPRzfHbqzJPpR0CK8ceQVpZWmsyTQFQp4QgzsNxli/sZjRfQY6WXdqbZUIBAKB0F4ghhPhCYSObfDEueqZguTkZFaNJgC4ePEipk6dyqpMupRKS/HuiXfx2/XfQKHtP1zUlBqXHl7CpYeX8LDiIX6f/LvRMjPLM7H06FLsS9hnvIItgEKlwIm0EziRdgIUReGtgW+1tkoEAoFAIBAIHQJiOLFAbGysSWS2puGUXJyMsVvHIrU0tdV0aG1is2IxadsklEhLWlsVAoFAIBAIBEIrQwwnFjCV4dRaXM2+inFbx6FYyu4uWntif8J+PL37aciUstZWhUAgEAgEAoHQBmi6yhPBIExh5Fy7dg1yuZx1uc1xv/A+xm4d+0QbTafSTmFGzAxiNBEIBAKBQCAQdBDDyUjKyspw9+5d1uXK5XLcvNmyyRgKqgswduvYJ9o17W7BXUzZPgUKlaK1VSEQCAQCgUAgtCGI4WQkly5dMpnslnbX+79j/4fM8swW7bMtoVKr8OyBZ1GpqGxtVQgEAoFAIBAIbQxiOBmJKY2bixcvmkz24/zz4B/8FfdXi/XXFvnt+m+4nH25tdUgEAgEAoFAILRBiOFkJKY0bmJjY9ESZbaktVK8dPglk/fTlsmtzMWyE8taWw0CgUAgEAgEQhuFGE5GoFKpTOqql5OTg8xM07vOfXbuM6SUpJi8n7bMa8deQ4W8orXVIBAIBAKBQCC0UYjhZATx8fGoqqoyaR+mjnMqkZbgy9gvTdpHW+dW3i3svLuztdUgEAgEAoFAILRhiOFkBC2RvMHUfcTci3niM8htubOltVUgEAgEAoFAILRxiOFkBB3BcHrSE0Ko1Cpsi9/W2moQCAQCgUAgENo4/NZWoD3TEobT7du3UVVVBQsLC9ZlZ5Vn4UzGGdblNkQX+y4IsA+ApcgSEoEEZnwzyJVy1ChrUCItQVJxEtJK06CiVC2ij5azGWeRU5lj8n64HC6CnILQ2bYzJAIJJAIJRHwRZEoZamprUFBdgKTiJGSWZ4KC6ROCEAgEAoFAIBDoQQwnhuTl5SE1NdXk/ahUKly9ehXDhw9nXfb2+O2sywQAM74ZBnoORH+P/ujn0Q/9PPrB3ty+2XYKlQKppalILEpEYnEirudex+n00yioLjCJnoDpdtysRdYY1GkQ+nv0R3/P/ujj1geWIstm20lrpUguSdaNwZXsKziTcYYkriAQCAQCgUBoZVrdcPrxxx/x1VdfIS8vD6Ghofj+++8RHh7e6Pnr1q3Dzz//jMzMTDg4OCAqKgqrV6+GmZlZC2rdsjWWYmNjTWI4xdyPYVUen8vHC2Ev4P0h78PFwoV2eyFPiK4OXdHVoavuPYqicK/wHo6mHMXehL2IzYplbUdGTamx+/5uVmRpsRBa4M3+b+L/+v8frERWtNuLBWKEOIcgxDlE955KrcKN3Bs4nHwYexP24nb+bTZVJhAIBALBtLRAaRUCoSVoVcNpx44deP311/HLL7+gb9++WLduHcaMGYPExEQ4OTnVO/+vv/7CsmXLsGHDBgwYMABJSUl45plnwOFwsGbNmhbVvSXc9LSYwkhTU2rE5cexJs9ObIfDsw+jr0df1mQCAIfDQXen7uju1B1vDHgD+VX52B6/Hb9c/wUJRQlGyc6uyEaprJQlTQE/Oz8cnXMUvna+rMkEAB6Xhz7ufdDHvQ9WDluJtNI0/HnnT/x2/TdkV2az2heBQCAQCAQCoWFaNTnEmjVrsGjRIixYsADdunXDL7/8AnNzc2zYsKHB82NjYzFw4EDMnj0b3t7eGD16NGbNmoUrV660sOYtbzip1WpWZT6seAipUsqKLCFPiH0z97FuNDWEs4UzlvZbinsv3cOp+acwo/sM8LnM7P/E4kTW9LIX2+PInCOsG00N4WPrgxVDVyD9tXTsnbkXo31Hm7xPAoFAIBAIhCedVjOcFAoFrl+/jpEjRz5ShsvFyJEjG91hGTBgAK5fv64zlFJTU3H48GGMHz++0X7kcjkqKir0DmORy+W4fv06o7YcDod2m5KSEiQlJTHqrzGM3a2py0u9X8Jgr8GsyTMEDoeDYd7DsCNqB7L+LwufDP8EHlYetGSwOQYfD/8YfnZ+rMkzBD6Xj6ldp+LY3GNIfiUZb/Z/E7Zmti2qA4FAIBAIBMKTQqsZTkVFRVCpVHB2dtZ739nZGXl5eQ22mT17Nj766CMMGjQIAoEAvr6+GDZsGN57771G+1m9ejWsra11h6enp9G637x5E3K5nHY7S0tLDBo0iFGfbO9wJRaxt9uyKGwRa7KY4GLhgveHvI8Hrz7ALxN+gaeVYX9jtsbAXGCO2cGzWZHFFD87P3w1+itkvJaBT0d8CjuxXavqQyAQCAQCgdDRaFd1nE6fPo3PPvsMP/30E27cuIE9e/bg0KFD+Pjjjxtt8+6776K8vFx3ZGVlGa0HUyOmT58+6NuXmTsb64YTS25qAzwHoJtjN1ZkGYuQJ8Ti3ouR/EoyXg5/udnz2RqD6d2mw9rMmhVZxmIpssR7g99D2tI0TAqY1NrqEAgEAoFAIHQYWi05hIODA3g8HvLz8/Xez8/Ph4tLwxnZPvjgA8ybNw/PPfccACA4OBjV1dV4/vnn8f7774PLrW8HikQiiEQiVnVnasSEh4ejV69eLdpnYyQVs+P619+jPyty2ETEF6GHS49mz+vIY2AlsmKU1Y9AIBAIBAKB0DCtZjgJhUKEhYXhxIkTmDp1KgBArVbjxIkTWLJkSYNtampq6hlHPB4PgCZtdUtAURQuXLjAqK0xhtP9+/dRUlICOzt2XLDK5eWsyGGSdryt8KSPgVwpxzv/vgOlWslYBp/Lxxcjv4CIz+7iRGN8E/sN0srSjJLxQu8XEOQUxJJGBCZQFIXsymzEF8QjpSQFVYoq1NTWoKa2BnKlHEKeECK+CGK+GG6WbvC09oSnlSc8rT1hIWS/GHjcX3HIijXeG0FLz2d7wrWnK2vyGuL85+dR8dC4mN1x340Dh6uJu+V8SD/+tiNArWzdNNkypQwJRQmIL4hHQXWB7j6oqa0BRVEQ8UUQ8USwMbOBp7UnPKw84GnlCVdLV8aJkQhNwyQW3RBaap7KBqYag45Aq951r7/+OubPn4/evXsjPDwc69atQ3V1NRYsWAAAiI6Ohru7O1avXg0AmDRpEtasWYOePXuib9++SElJwQcffIBJkybpDChTk5GR0WgMVnP06dMH7u7ucHJyQkEB/aKuly5dajIRBh2ktexk1DMXmLMipzV40sdAxBehprYGv9/43Sg5Xey74KU+L7GkVePcyb+DN/950ygZPjY+WDOmZUsXPOlUyitxNecq7hbcRXxBPOIL4xFfEM+4qLONmQ06WXdCqHMoerv11h1CnpCxjumn03Hj9xuM2z9OWVoZZh8ybdzj3Z13kXeT2XeRlrHfjgUHZILUUqSUpOBm7k3EF8TjbqHmfkguSYaaop81l8fhwdXSFX52fghzDUMftz7o59EPXjZeJtCcQCBoaVXDaebMmSgsLMSKFSuQl5eHHj164OjRo7qEEZmZmXo7TMuXLweHw8Hy5cuRnZ0NR0dHTJo0CZ9++mmL6czUZc7V1RXu7u7gcDjo06cPDh06xKhv1gwnllKRF9cUsyKnpVFTashV9BN8NESxtH2OAQB8MOQDbL692aix+PTcp1jYcyHM+KYtQr3q9CqjZXw47EOjJtgEw6AoCrFZsfjfzf9h592dqKmtYU12mawMZbIy3Mm/gz/v/AkAkAgkGOI1BKN9R2NG9xlws3RjrT8mJB9ORt6tPLj0aJ+70QT2qJBXYFvcNqy/uR5Xc66yJldFqfCw4iEeVjzE6fTTuvd9bX0xsvNITOoyCaN9R0PAE7DWJ4FAaGXDCQCWLFnSqGve6dOn9X7n8/lYuXIlVq5c2QKaNYwx8U3arc/w8HBGhpMpCuEay9nMs62tAiPYXGU9m3EWTwc9zZq8lsTT2hMv9XkJay+tZSwjpzIHv13/Da/2fZVFzfS5mXsTexP2GiWjm2O3Vs9+2NHJr8rH5tubsf7melbrpDVHdW01jqQcwZGUI3jj+BsY1XkUokOjMbXr1FbbET732TlM3zm9VfomtC4UReF85nmsv7keO+/uZG2h0hAelD7Ag+sP8Ov1X+EkccLsoNmIDo1GD5cexP2KQGCBdpVVry1gjOHU0M90uHz5MpRK5vEodWFrd+Df1H+RWprKiqyWhMPhQMRjJy5na9xWVCuqWZHVGiwbtAwSgcQoGavPr2bN9bEhVp1ZZbSMj4d/DB63ZVx6nzQyyjIwfdd0eKz1wNv/vt2iRtPjqCk1jj04hjl75sD5a2cs2L8AV7Jbvkj6vZh7KEosavF+Ca0HRVHYemcruv7YFUP+GIJNtze1qNH0OAXVBVh3eR16/dYLIb+E4OvYr1EmK2s1fQiEjgAxnGhQVVWF27dvM2pb11jq06cPIxnV1dWIi4tj1PZxxHwxK3IA4PfrxsXItBZiATtjUCGvwI67O1iR1Ro4SZzwf/3+zygZeVV5+OXaLyxppM/1nOs4kHjAKBlhrmGI6BrBkkYELRRF4X83/ofgn4MRcy/GqEQjpqBKUYU/bv2Bvv/ri1F/jsK5jHMt1zkFXPicWSIhQvsjryoPETsiMHfvXNYytrJJfEE83vrnLXit88J7J95DibSktVUiENolxHCiwdWrV6FW0w/iBIDevXvrfra3t0fnzp0ZyWErLbmntfGFgLWsvbQWZzPan8ueoYVyDeGdf99BcnEya/JamjcGvAFbM1ujZHx+4XOT7LytPG28a+6nIz4lbios87DiIcZtHYdFBxehUlHZ2uo0y7+p/+Ktf95q0T7vbLmDsoyyFu2T0LJQFIXt8dvR/afu2J+4v7XVaZYKeQVWn1+N4w+Ot7YqBEK7hBhONGBqtAQEBMDGxkbvPabuemwZTp1tmBluDSFXyTF+63j8ceuPdpVus7Mte2NQVFOEIX8MabdfRjZmNnh74NtGySioLsBPV39iSSMNV7Kv4FAy/XjAumiTBhDYgaIobLq1CUE/BeHYg2OtrU6bRq1UI/ZrdmvwEdoOhdWFmBEzA7N2zyI7OATCEwIxnGjARnxTU++ZUofH8bXzZUWOluraaizYvwADNgzAX3F/QaFSsCrfFPjasjsGeVV5GLNlDMZvHY/DyYcZpZhtTV4JfwXOEmejZHwZ+yWqFFUsaUR2m9oatapazN07F8/sf4a1OmgdnZv/u4mqfPbuCULb4EbuDQT9HISYezGtrQqBQGhBiOFkIGq1mnFWOzYNp/T0dOTk5DBqWxe2jQYtlx5ewpw9c+C51hMfnPwA6WXpJumHDdg2HrUcSTmCCX9NgP/3/vgm9hsUVheapB+2kQgleH/w+0bJKKopwg9XfmBFn4tZF3E05ahRMsb5jcOgToNY0edJR6aUYdrOafgr7q/WVqVdoZQpcWntpdZWg8AisVmxGL5pOAqq6ddjJBAI7RtiOBlIYmIiSktLGbVtyEjq2bMn46K9bKQl72LfxWgZTVFQXYBPzn0Cn299EPhjIF47+hr+TvobpVJmY2gKTD0GqaWpePOfN+H8tTN6/9Yb7594HydST7TpDHzPhz2PTtadjJLxVexXjIub1oWN3aZPRnxitAyCxmiatG0SDiYdbG1V2iVXf7oKaWnrZVcjsMfZjLMY9ecoVp5xBAKh/UEMJwNh6iInEAgQGhpa731zc3MEBQW1qC516WTdCf52/kbLMYSEogR8e/lbTNo2CfZf2iPk5xAsObwEO+J3IKfS+N0zpgzwHMBqdsHGoEDheu51fHb+M4z8cyRsvrBB3//1xVvH38KBxANtyjdexBdh1dBVRskokZbg+8vfGyXjfOZ5/JP6j1EyorpFoZdrL6NkEDQxTc8deA7/pv7b2qq0WxSVClz5oeVTohPYJak4CVO2T2G1oPMTA4fTtg4CgSHEcDIQpsZKaGgoRKKG6wUxdddjY8eJw+FgSsAUo+XQhQKFuII4/Hj1Rzy9+2m4r3GH73e+WLB/ATbc3NCirn3mAvNWSRqgVCtxJfsKvr74NaZsnwL7L+0R/HMwXjr0ErbHb0d+VX6L61SXeaHzEGAfYJSMry9+jXIZ8xgYY3ebuBwuPhr2kVEyCBo+O/cZtsZtbW012j2X112Goqrtx34SGqZEWoKJf00kdZAIhCccYjgZCJuJIQz5rCmuX78OmUzGqG1dpnRtecOpIVJLU/HHrT/w7IFn4fOtD/y+88MLf7+A4w+Om7wuTGsYjw0RXxCPn6/9jFm7Z8HlGxeE/ByC14+9jotZF1s8UyGfy8dHw40zOspkZVh3aR2jtmfSz+Bk2kmj+p8XMg+BjoFGySAAJ1JPYPmp5a2tRodAWiLF9d+ut7YaBIY8s+8ZJJe035ITBAKBHfitrUB7oLi4GAkJCYzaNmUcMS2Eq1AocOPGDQwYMIBRey39PfrDwdwBRTVtq7r9g9IHeHD9AX69/iucJE6Y2X0m5gTPQbh7OOvZ0SZ2mQgOOKDQttKoxxXEIa4gDmsvrYWPjQ9mBc3CnJA56ObYrUX6j+oWhR4uPXAr7xZjGWsvrcWrfV+Frdjw+lAURWHF6RWM+wQAAVeAlUONj4960lGoFFhyZInJ+/Gy9kKIc4ju8LDygLnAHEKeEDKlDDW1NcitzMX9ovu4X3Qf9wrvIbEoEXKV3OS6sU3s17Ho81If8M3IV2974u+kv00e32fGN0N3x+4IcQ5BqHMoAh0DYWNmA3OBOQCgprYGlfJKPCh9gHuF93Cv8B7uF93Hw4qHJtWLQCDoQ57eBnDpEvOMSE0ZTt27d4dYLIZUSj9oODY21mjDicflYXHYYnx67lOj5JiSguoCfH/le3x/5Xt0tu2MBT0W4JXwV2BtZs2KfEeJI6Z3n46dd3eyIs8UpJWl4bPzn+Gz858h1DkUi3otwnO9noOI37ALKBtwOVx8MvwTTNw2kbGMcnk51l5aS2v36lT6KaOLKS/qtQg+tj5GySAA313+DglFzBaMmsPd0h2Lwxbj2V7Pws3SjXZ7lVqFxOJEHH9wHEdSjuBU2inUqmtNoCm7VOVW4damW+i9uHfzJ7cw1ErTLB5xPmRnsctU+jWHTCnD0qNLTSZ/tO9ovNT7JUzoMgF8bvNTsqfwlN7vFfIKXMy6iCMpR3A4+TDZFSO0edpivc+KigpYWxs2rySuegbANKbI0tISAQGNx4rw+XyEhYUxks1WPac3B7wJWzPDdwRak9TSVHxw6gP4fOuDz859xlq9oI+Hfwweh1mGw5bmdv5tLDmyBH7f++HXa7+atF7WeP/xGOBpnHG+7tI6FNcUG3QuRVFGxzaJ+WIsH0Jcy4wlpzIHH575kHW5PV16Ys+MPUh/LR0fDP2AkdEEaBZ9ujl2w2v9XsOxuceQ92YefpnwC/p79GdZY/a58MUFqJXtq8bbk8xXF75CamkqqzK5HC5eDX8VSUuScGzuMUzpOsUgo6khrERWGOM3BuvGrkPikkRcW3QNS/suhYO5A6s6EwgEDcRwMgCmRkqfPn3A5TY9xMYUwmXDarcxs8G7g941Wk5LUiorxfsn34fPtz74OvZryJTGxXt1se+CBT0WsKRdy/Cw4iFeOPQCAn4IwMabG01SbJfD4eCzEZ8ZJaNSUYlvLn5j0Ln/pv6L85nnjepvSfgSuFq6GiWDALz9z9usFjIGgDf7v4lLz11CRGAE40liY9iJ7bC492LEPhuLCwsvYLz/eFbls0lZWhnit8e3thoEA0gvS8dn5417Bj6Op5UnzjxzBt+O+xb+9uxmtuVwOAhzC8O6seuQ8VoG1o1Zx3hxgkAgNAwxnJpBqVTi8uXLjNoaYhQxjXPKz89HWloao7aPsyR8Cdwt3VmR1ZIU1RThrX/eQv/1/ZFSkmKUrJXDVsKMb8aSZi1Helk6Fh5YiHFbx5mk0O5Q76EY1XmUUTK+u/xds3F0bOw2WQot8c7Ad4ySQdDUqWEzi56TxAlH5xzFV6O/gpAnZE1uYwzwHIBDsw/h+vPXERkYafL+mHB+9XlQ6rbnrkLQ543jbxi9MFeXiK4RuPXCrRYpym0uMMfSfkuR+moqfp7wM7ysvUzeJ4HwJEAMp2a4c+cOamqY1WwwxHBiuuMEsOeuJxaIsXHKRnDQPmsb3Mq7hV6/9jIqTsnDygNrRq9hUauW5fiD4+jxaw+j44Ma4tMRxsXAVddW46sLXzV5zrEHx3DxoXFp9t/o/wbsze2NkkEA3j3B3g60m6UbYhfGYozfGNZkGkov117YPWM34l6Mw8QuzGP1TEHhvUIk7DdN/BiBHa5kX8Ge+3tYk/di7xexe8Zu2IntWJNpCCK+CC/0fgHJryRj/eT1cJY4t2j/BEJHgxhOzWCMcWKIUeTj4wN7e2aTPbYMJwAY5TsKK4Yal82sNalUVGJmzEy8cvgVqNQqRjJe6P0CZgfPZlmzliOnMgfDNw3H17Ffsyq3j3sfTO061SgZP1z9AQXVBQ1+xsZuk73YHv/X//+MkkEA0krTEJvFznPFSmSFf+b9A187X1bkMSXIKQgHZx3EgacPtKmkIec/O98mg6QJGrbeYW/XdWb3mfhh/A+sZ4Wlg4AnwMKeC5GwJAGvhL/SbuJ6CYS2BjGcmoGpceLm5gZ39+bd3zgcTqsWwq3LyqEr8VzP51iV2dL8cPUHPH/weUYxPxwOBxsmb8DIziNNoFnLoKbUeOuft7D63GpW5X48/GOjdiRramvw5YUvG/zscPJhXMm+wlg2ALw76F1YiayMkkEAdtzdwZqsDZM3tFj6fEOYFDAJWyPbTiHfnGs5SP2H3aQDBHZQqVXYdW8XK7K6OnTF/yb/D1xO25hu2ZjZ4Ltx32Fat2mtrQqB0C5pG3dyG8YUhW8fh2mc0507d1BZWcmobUNwOBz8MvEX/F+/9r1yv+HWBqw4xWz3TMQXYd/MfZgW2L6/VN47+R423drEmrwgpyDMCZljlIwfr/6I3MpcvffY2G1ys3TDS31eMkoGQQNbhtPTQU+3yYlZW5m8ajn32bnWVoHQAOcyzyG3Krf5Ew3gjyl/wEJowYosNmlr9wKB0F4gd04TZGdnIyMjg1FbOsYQ0x0ntVqNK1eMW6l/HB6XhzVj1mDz1M0Q8UxXJ8jUfHruUxxKOsSorUQowa7pu/DJ8E/abdwXALxw6AXcyb/DmrxVQ1cZlQ1NppThiwtf6L13MOkgrudeN0qvD4Z8ALFAbJQMApBQlGBUwWMtPA4PHw//2HiFngAyzmQg80Jma6tBeIwd8ewsIEztOhV9PfqyIotAILQNiOHUBMa4wrXEjhPAbpxTXeaFzsP5hefhYeVhEvktwcuHX4ZcKWfUlsPh4P0h7+PArAPt1gVMppRhyeElrMVR+Nr54tmezxol45drvyCnMgcAO7tNPjY+WNhzoVEyCBrYmiw+2/NZ+Nn5sSKrPSFxljBqd/4z41LwE9ilVlWLmPsxRsvhgINPhn/CgkYEAqEtQQynJjDGKOnd2/DK8E5OTvD29mbUj6kMJwDo7dYbd1+6i/cGvdcuU3VnlGfg52s/GyVjYpeJSHg5Ac/1fK5dujacyzyHw8mHWZP3wZAPjNqJlKvkuvirfQn7jN7h+HDYhy2S4rqjQ1EUtt/dbrQcEU/UrpPMGEP/15kV300+nIzcm+y4hRGM52TayWbLJxjCnJA56O7UnQWNCARCW6L9zQRbEKY7TgEBAbCxsaHVhumu08WLF6FWm64KvZXICp8+9SkSlyRiXsg8k/VjKj45+wnKZeVGyXC1dMXvk3/H7RduY5zfOJY0azmWnVjGONPg47hbuePlPi8bJeO3G78hszwTq86sMkpON8du7ToLYlsirSwNCUXGp8eeHDAZ7lbtryYcG/iM8IF7OLNrP7+a7Dq1FQ4lM3PxfpwXe7/IihwCgdC2IIZTI8hkMly/ziz2gknMEtM4p/Lycty/f59RWzp0su6EzRGbceP5G1jYYyEkAmZuKS1NsbQYay6yU58pyCkIh+ccxonoE4jqFgUBV8CKXFMTXxCPbfHbWJO3bNAyo4KdFSoFxm8db3T81cfDPwaPS1LqssH9QnaeIW2tXlKLwgEGvcessOm9mHsoSjB+l4NgPPeLjL8X7MX26OtOYpsIhI4IMZwa4fr166itrWXUtiUNJ8C07nqP09O1J9ZPWY+8N/OwYfIGDO40uMX6Zspf8X+xWi9lhM8I7Jq+Czlv5GDdmHUIcQ5hTbapYNNwcpQ44vV+rxsl427hXaPah7mGIaJrhFEyCI9ILE40WgYHnHa5I8smAZMC4BTkRL8hBVz44gL7ChFok1hk/L0w3n88WdQhEDooxHBqBFMXvn2cXr16gctl9udoScNJi4XQAgt6LsDZBWeRtCQJX478EiN8RrTJXZiUkhRW3JAex8HcAUv7LcWtxbdw4/kbWDV0Ffq6922TmfhOpJ5AlaKKNXmv938dtma2rMmjy6cjPm3VYpIdjaTiJKNl9PPoB0eJIwvatF84XA4Gvcts1+nOljsoyyhjVyECLaoV1ciqyDJazhO980ogNAOHw2kzBxOI4dQITI0RgUCA0NBQ2u0sLCzQrRuzYpGtYTjVxd/eH28NfAsnok+g5J0SHJp9CK/3ex2hzvTHwVQcSDxgMtkcDgc9XXti5bCVuPTcJRS+VYhd03fhhbAX4G/nb7J+6SBXyXH8wXHW5FmbWWPZoGWsyaPDEK8hGO07ulX67qiwseNE/iYaus/oDltf+osKaqUasV+17rP8SSelJIUVOeReaACKalsHgcAQYjg1AEVRjI2RHj16QCRilnWMqbteUlISiorahn+8hdAC4/3H45sx3+DWC7eQ/2Y+tk/bjkW9FsHHxqfV9NqfuL/F+rI3t0dUtyj8PPFnJL2ShIzXMrBh8gbMCZ4DZ4lzi+nxOGwbj0vCl8DFwoVVmYZAdpvYh40dpwD7ABY0af9w+VwMfGcgo7Y3/ncDVXns7QwT6MHGAoKTxAk2ZjbGK0MgENokxHBqgNTUVBQUFDBqa0yskjFtL126xLitKXGSOGFm0Ez8Nuk3pC5NRcorKfhu7HcY7Tu6RdNIX3p4iXFNJ2PpZN0JC3ouwJbILch9Ixd3XriD1U+txkDPgS2a4vxsxllW5ZkLzLF88HJWZTbHOL9xGNSJmSsUoWEq5ZW62lrG4GPbegsjbY3Q6FBYulvSbqeSq3BxLfP6gQTjYCO+qTUXCAkEgukhhlMDtHR8ExttW9tdz1B87XzxSt9XcGzuMRS+VYhvx37bIl80FChklGeYvJ/m4HA4CHYOxrJBy3B+4XnkvJ6DVUNXwdHc9LEhmeWZqFUxS3jSGIvCFsHbxptVmU3xyQhSUJJtkkuSWZFDJoyP4Iv4GPDmAEZtr/10DdJSKcsaEQwhqcT4nVeygEAgdGz4ra1AW8QYI4RpPSYACAoKgpmZGWQyGe227cVwqouVyAqv9n0VL/d5GfsS9mHNpTWIzTLddaSWpqKLfReTyWeCs4UzVg5biXcGvYOtd7ZizaU1uFd4zyR9qSgVsiqy0Nm2M2syhTwhVg5diQX7F7AmszGiukWhl2svk/fzpJFZnmm0DHOBOZwkDLLJNcC3l75lxWWqOVYMXWFSV9Nei3rh3KfnUFNUQ6udokqBK99fwdAVQ02kGaEx2LgX2FpAyKnMwSdnTb9Q1M2xG5aELzF5PwRCR6HVDacff/wRX331FfLy8hAaGorvv/++yZ2XsrIyvP/++9izZw9KSkrg5eWFdevWYfz48azpZIwRMnDgQKPiL+RyZu5kV65cQW1tLQSCtpfVrjl4XB6mdZuGad2m4UTqCczZMwf51fms95Namsq6TLYw45vh2V7PYmHPhdgatxUv/P0CqmurWe8ntTSVVcMJAOaGzMUXF74wSeZCLVwOFx8N+8hk8p9kamrpTewbwsvai7W4s4NJB3Ei7QQrspri1b6vmtRwEkqE6PtaX5xafop228vfXkb/1/tDaNFy7swEdu4FtnbgS6Ql+Pnaz6zIaooxvmOI4UQg0KBVXfV27NiB119/HStXrsSNGzcQGhqKMWPGNBpfpFAoMGrUKKSnpyMmJgaJiYn4/fff4e7OXqX6iooKxMfHM25fWlqKkpISxgfTekNSqRS3b99mrHdb4anOT+HG4husT+6Btm04aeFwOJgbMhcXn70Ia5E16/JNMQZ8Lh8fD/+Ydbl1mRcyD4GOgSbt40lFWmu8W5iVyIoFTToe4S+HQ2RFP1mQtESKa79eM4FGhKYg9wKBQGiOVjWc1qxZg0WLFmHBggXo1q0bfvnlF5ibm2PDhg0Nnr9hwwaUlJRg3759GDhwILy9vTF06FBG6b8b48qVK1Cr1azJa0nao7teQ7hZumHvzL3gcdgtIPiw4iGr8kxJsHMwNk3dxLpcU41BZGAkerr0NIlsAVeAlUNXmkQ2AZAqjZ8sivjMMol2dMxszNDnZWbu2xe/uQilTMmyRoSmYOVe4JF7gUDoyLSa4aRQKHD9+nWMHDnykTJcLkaOHImLFxvOKnTgwAH0798fL7/8MpydnREUFITPPvsMKpWKNb3as/HRnnV/nBDnENZrYbDxpdiSTA6YDF9bX1ZlsrGi2hBcDhefjvjUJLIX9VpEAq5NCBvZJlsyQ2Z7o99r/cAX0/eKr8qtwq1Nt9hXiNAo5F4gEAjN0WqGU1FREVQqFZyd9evaODs7Iy8vr8E2qampiImJgUqlwuHDh/HBBx/gm2++wSefNB5AKZfLUVFRoXc0RXs2Ptqz7g0xJ3gOq/JkSvpJN1oTDofTrsZgrN9YDPRkVr+mMcR8MZYPadmU508abEz02M7W2JGQOEnQaxGzpCYXvrgAtbJ9ekC0R1i5F9TkXiAQOjLtKh25Wq2Gk5MTfvvtN4SFhWHmzJl4//338csvvzTaZvXq1bC2ttYdnp6eTcpvbLerPZCVlYWHD9uPO1pzTOk6BeYCc9bkqan2NwGZHTybVXkqir3d2cfhcDj47KnPWJW5JHwJXC1dWZVJ0EcsEBstQ65qnRpp7YUBbw4AV0D/67YsrQzx25nH3BLowcq90Er1AgkEQsvQaoaTg4MDeDwe8vP1s6fl5+fDxaXhTEeurq7o0qULeLxHsS+BgYHIy8uDQqFosM27776L8vJy3ZGVldWoTvfu3Wt2R6qt054Nv8exEFogyCmINXlivvFfii1NgEMAq1XoTT0GQ7yGYIzvGFZkWQot8c7Ad1iRRWgcNv4nKuWVLGjScbH2tEZoNLNY3POrz4NSM0saRKAHG/dClaKKBU0IBEJbpdUMJ6FQiLCwMJw48SjtrFqtxokTJ9C/f/8G2wwcOBApKSl6yRuSkpLg6uoKobDhLXaRSAQrKyu9ozE6gqtbR7iGutiL7VmTZcY3Y01WS9LexoCtIrVv9H8D9ubsXTuhYdhYZc+qyGKcEfRJYeA7A8Hh0k/ZXnivEAn7TZfqn/AINjwcsioaX5wlEAjtn1Z11Xv99dfx+++/Y9OmTbh//z5efPFFVFdXY8ECTTHN6OhovPvuu7rzX3zxRZSUlGDp0qVISkrCoUOH8Nlnn+Hll19mRZ+OYHQYeg3lsnKUy8pNrI3xUGBvMva40ZBflf/EuVW0hOHU2603IgMjjZJhL7bH//X/P5Y0IjSFh5WH0TIq5BUok5UZr0wHxt7fHt1ndGfU9tyn54hh2gKwcS+klaWxoAmBQGirtKrhNHPmTHz99ddYsWIFevTogVu3buHo0aO6hBGZmZnIzc3Vne/p6Yljx47h6tWrCAkJwauvvoqlS5di2bJlrOjTEQynGzduQCptPnNaelk6An4IwObbm9v0F3JeVcOJQpjgbqlf7+tc5jkE/xyMYynHWOvDFLA6Blbs1TxrCmNd7F7s/SKph9JC+Nv5syInvSydFTkdmUHvDmLULvd6LlL/aft16No7Xey7GC2D3AcEQtNQFNVmDia0enKIJUuWICMjA3K5HJcvX0bfvn11n50+fRp//PGH3vn9+/fHpUuXIJPJ8ODBA7z33nt6MU9MKSwsRHJystFyWhulUolr1wwrnJhfnY/5++Zj8MbBuJl708Sa0UemlLFasNXPzq/ee8klyRi7dSwidkQgrbTtrRRmlWehuraaNXkNjYEpMNa9kLjotRy2Yls4mjsaLYdMGJvHOcQZXSYxm5yf+/Qcy9oQHocYTgQCoTla3XBqK3SkpAp0d84uZF1Ar996IXJHZJsyoPbe34sKOXvJOvztG19Z35ewD11+6IJFBxaxaqwZy8ZbG1mVx9buAqFjEeAQYLSM5JL2v/DUEgx+bzCjdhlnM5B5PpNlbQh1CbA3/j54WPHQZPXyCARC60O/Kl8H5Uk2nLTsTdiLvQl7ManLJKwYugK93XqzrBk9fr/xO6vymtttUaqV+N/N/2HjrY2YFzoP7w16r0ljy9So1Cqsv7meNXkSgQQuFg1nrCQ82XSx64LzmeeNknEi7QTeHvi20bpsjdxqUL2x5aeWY8udLUb319J49POA93BvpJ9Kp9323GfnMOcwu7XdCI9g43mvptQ4nX4a4/zHGSWni30XpC9Nb/Y8hUqBLj8Yv1NGIBAMgxhO/9ER4pu0xMbGgqIocDj0MzgBwMGkgziYdBDj/cfjgyEfoJ9HP5Y1bJ4TqSdwKv0Ua/IkAglcLQyrB6SiVPjj1h/YfHszZgfPxvuD30dXh66s6WIo/7vxP2SWs7fC7Gfnx/h/gtCxYcNF6Uz6GVQrqiERSoyS42zh3PxJ0KSrb68Mfn8wI8Mp5UgKcm/mwrUnqW1mCqxEVnCxcDE6rvRIyhGjDSchTwgvG69mz1OoGi7FQiAQTANx1QNQW1uLK1eutLYarFFUVIQHDx4YLedw8mH0X98fo/8cjX0J+1CrapmK6MnFyZi+azqrMpkYDWpKjS13tqDbj90wY9cMnEw72WJFdM+kn8ErR15hVWZr7p4R2jZsGE5ylZzVxY6OjM8IH7iHM0vUcn61cTuDhKZh4144knKEBU0IBEJbhBhOAG7dugWZrHnXkPYEmzto/6T+g4gdEfBY64E3j7+JW3m3TJaJ71jKMQzaOAilslJW5QY6BjJuS4HCrnu78NTmp+D7nS8+OvMRUkpSWNSuTl8UhT9u/YFxW8ehVs2uoRrowHwMCB0bY+6PuhxOPsyKnI4Oh8PB4PeZxTrdi7mHooQiljUiaGHjOZlSkoLkYhLzRyB0RIjhhI7lpqfFFNdUUF2Aby5+g56/9oTXOi+8fOhlHEk+guKaYqPkKlQKnM88j6nbp2Ls1rEoqC5gSeNHTAmYwoqc9LJ0rDy9Ev7f+yPwx0C8/c/bOJN+xugkFjW1NTiachQDNwzEgv0LIFWyH1zM1hgQOh4B9gHobNvZaDk77u5ApbySBY06Pl0mdoFTkBP9hhRw4YsL7CtEAABM8J/Aihw241MJBELbgcQ4wTgjw9zcHAKBgEVtHkFRFCoqmE3ITW0MZlVk4adrP+Gnaz8BAFwtXBHsHIwQpxAEOwcj2CkYgY6BDRZcVaqVuJ13GyfTTuJk+kmcyzjHasrtxzHjm2Fil4msy00oSkBCUQK+iv0KAOBt441gJ821hzhrxsHfzh8CXv3/D7lSjqs5V3Ei9QROpp/ExayLrO8w1cXX1he9XHuZTD6hfcPhcDCj2wx8fuFzo+SUSEvw/ZXv8d7g91jSrOPC4XIw6L1B2DN7D+22d7bcgdhebAKtCKN9R8NaZI1yuXEF4n+48gPe6P8GHCXGp/rvELT1+No2XM+S0LYghhOMMzJu374NPz/T1MahKAoODg4oKSmh3TY+Ph7l5eWwtrY2gWb1ya3KRW5VLo4/OK73vogngoXQAhKhBHKlHJWKStTU1rSITlom+E+AhdDC5P2kl6UjvSwdB5MO6r1vxjeDhdAC5gJzSGulqFRUGpQ1jE1mdJ9BEkM0gEwmY3R/ARpjw9W19YL0c3NzGbvM2tnZwcxMf1FjZtBMow0nAPg69mssCV9CChgbQPfp3XHqg1MofUDPNVmtVKM633SLTU8yIr4IU7tOxabbm4ySU11bja9iv8KXo75kSTMCgdAWeOINp6ysLDx8+JBRWzs7O/j6+rKs0SM4HA7Cw8Nx9OhR2m0pisLly5cxevRoE2hmOHKVHHKpHMVS49z5jGFG9xmt1jegKeTb0obS47T2GLRVFAoFevbsiYICZu6hx44da5V77J9//mHcr4uLC5KSkuoZTqHOofC38ze6HlOprBTrLq3DiqErjJLzJMDlczFo2SAcXHSw+ZMJLcaM7jOMNpwAza7T6/1fJ2UgCIQOxBMf42TMblN4eLjJV/HDw8MZt+2IsVt0EfPFrPmst1f87fwR6hza2mq0SaysrLB69WrG7d98802oVCoWNWoelUqFN954g3H71atXw9KyfipvDoeDmd1nGqPaoz7Or8bdgrusyOrohMwLgaV7+02t3hEZ2XkkbM1sjZYjVUrx4qEXTZZMiUAgtDzEcDLCuOjbty+LmjQMMZyMIzo02ui6Mu2dF3q/QNz0muCZZ55BWFgYo7ZxcXHYuHEjyxo1zR9//IG4uDhGbXv37o3o6OhGP2drZ1KmlOHp3U+TRBEGwBfxMeCtAa2tBqEOQp4QEV0jWJG1L2Efvr/yPSuyCARC6/PEG04XL15k3NYYo8ZQ+vTpw7jtpUuXWnw1vC1hL7bHpyM+bW01WpXujt3xSji79aA6GlwuF99++y3j9suXL0dlZcsYCFVVVVi+fDnj9t999x243MYf+0FOQQh2CmYsvy7xBfGI2BEBuVLOiryOTK/nesHcwby11SDUYU7IHNZkvXb0NcTci2FNHoFAaD2eaMOppqYGN2/eZNy+JQwnJycneHt7M2pbWVmJe/fusatQO+LLUV/C3ty+tdVoVX6e8HODWf0I+gwcOBCzZs1i1DY/Px9ffPEFyxo1zJdffom8vDxGbefMmYP+/fs3eQ6Hw8HnI41PEKHlRNoJjN4yGrmVuazJ7IgIJUL0fc30HgwEwxnuPRyjOo9iRRYFCrN2z8K3l74lbnsEQjvniTacrl27BqVSyaitr68vHBwcWNaoYYi7Hn0GeA7AMz2eaW01WpX5ofMx2ItZkc0nkS+++AJiMbMUz9988w2ysrJY1kifhw8f4uuvv2bU1tzcHJ9/bphBNN5/PMb7j2fUT0OczTiLHr/2wMm0k6zJ7IiEvxwOkZWotdUg/AeHw8G6sevA4/BYkadUK/Hasdcwfdd0lMuMS3VOIBBajyfacDI2MURLQQwnenA5XPw0/idwOU/uv7eNmQ1Jg0sTT09PvPvuu4zaymQyvPeeaWsXvf/++5BKmRVGfu+99+Dh4WHw+WvHrIWAy95OZUF1AUb9OQpvHHsDDyuYZTHt6JjZmKHPy8xdswns082xG5aEL2FV5u77uxH2Wxh23t2JWpXpavcRCATTwGhmKZVKUVPzqBZPRkYG1q1bh+PHjzfRqu3R1hNDaCGGEz1+HP8jQl2e3CxyfC4f26Ztg5PEqbVVaXe8+eab6NSpE6O2W7ZswdWrV1nWSMP169exefNmRm29vb3x+uuv02rTxb4LXuv3GqP+GkNNqbHm0hp4r/PGzJiZuJB5gZHbklKtxJHkI4jN6njPtn6v9QNf/MRXCWlTrBq2Cg7m7HqXPCh9gJkxM9H5u85YfW41imqKGMnJq8rDd5e/Y1U3AoHQNIye0FOmTEFkZCReeOEFlJWVoW/fvhAIBCgqKsKaNWvw4osvsq0n61AU1W4Mp169eoHH4zFK9JCSkoKCggI4OT0Zk+gPhnyAF3q/0NpqtCrrJ6/HWL+xra1Gu0QsFuPrr7/GjBnMssu9/vrrOHv2LKtZDCmKMir9+Ndff83IBXH5kOX4886fyKtiFlPVGCpKhZ13d2Ln3Z1wsXBBD5ce6OHcAz1ceiDAIQCWQkuYC8yhUCkgVUpRKi1FRnkGHpQ8wOXsy7iQdQElUmZFi9s6EicJei3qhSvfXWltVQj/YWNmg89GfIbn/36eddkPKx7ivZPvYcXpFQh0CNTcC/8dLhYusBBagM/lQ1orRU1tDXIqc5BZnom4gjjEZsXiZt5NqCk163oRTENbzm5LYu8Mh5HhdOPGDaxduxYAEBMTA2dnZ9y8eRO7d+/GihUr2oXh9ODBAxQXMyvKKhAI0KNHD3YVagKJRIKgoCDcvn2bUfuLFy9iypQpeu+J+CJwOdwO9dD9bMRnWDZomcHnmws6VhYrIU+IDZM3sJoN6kkkKioKQ4YMwdmzZ2m3PX/+PPbu3YvIyEjW9Dlw4ADOnDnDqO2wYcMY62IlssJXo77CvL3zGLU3hLyqPBxNOYqjKfSLfHdUBrw5ANd+vgZ1bcd5Nrd3FvZciN9u/IZrOddMIl+pViKuIA5xBXH4886fJumDQCCwAyNXvZqaGl0BxePHjyMyMhJcLhf9+vVDRkYGqwqaisuXLzNuGxoaCjMzMxa1aR623fW6OnRF+tJ0fDDkg3Zf1dxCaIHt07bj3cHv0lrRGe8/HvdeuodXw1+FlcjKhBqaHmeJM/6d9y8xmliAw+Hg22+/bTJtd1O8/fbbkMvZScGtUCjw1ltvMWqrTbNuzCrnnOA5WBy2mHF7An2sPa0RGv3kuhq3RXhcHmKmx8DR3LG1VSEQCK0Mo5mBn58f9u3bh6ysLBw7dgyjR48GABQUFMDKqn1MQI0xnFrSTU+LKeKcPK098dHwj5DxWgZ2Td+FaYHTIOYzyyrWWjzT4xkkLUnCzKCZjNoHOgbi23HfIvv1bKyfvB6jfUezlkWpJRBwBXhrwFtIeiWJZNBjkR49emDRokWM2j548AA//vgjK3r88ssvSE5OZtR28eLFCAkJMap/DoeD78Z9hyFeQ4ySQ6DHwHcGgsNtu249TyJeNl7YPWM3+FwSg0YgPMkwMpxWrFiBN998E97e3ujbt6+uNsjx48fRs2dPVhU0FcYYTi2ZUY+NPq9evQqFQtHo50KeEFHdohAzIwYFbxVgR9QORHWLatNGVF/3vrj83GVsnLIRrpauRsuzEFpgYc+FODb3GPLfzMf/Jv0PY3zHtOkvyYldJuLuS3fx5agv2/2OWVvk448/hrW1NeO2TF2BtZSWluLDDz9k1NbGxgYfffSRUf1rEfKEiJkeg0CHQFbkEZrH3t8e3Wd0b201CI8x2Gsw1k9eDw6IUUsgPKkwMpyioqKQmZmJa9eu4ejRR77pTz31FNatW8eWbiYlISGBcdvW2HHq1q0bzM2ZxeTI5XLcunXLoHMthBaY0X0Gdk3fhcK3CnVGlIXQglHfbMIBB4M6DcLmqZsR+2wswt1NY8Dam9vj2V7P4ujco8h/M1+XbEHEa/0aKwKuAGP9xuLInCM4OOsg/O39W1ulDoujoyNWrVrFqG1ZWZnRhssnn3yCkhJmSRA+/PBDVuvMOUoccfqZ0whyCmJNJqFpBr07qLVVIDRAdGg0Nk3d9ESXuyAQnmQY3fkLFy6ERCJBz5499eIAunfvji+++II15doi1tbW8Pdv+ckqn89HWFgY4/ZMMghKhBKdEVX6TikuP3cZX4z8AuP8xsFObMdYFzrwuXyM9h2NXyb8gpw3cnBuwTnMC53XYl9admI7LOy5EEfmHEHZsjKcnn8aq4auwjDvYS1mTIr5YkQGRmJLxBYUvFWAI3OOkKx5LcTLL7+Mrl27Mmr7008/ISkpiVHblJQUfP/994zaBgYGmiRBj5PECafmn0JPl/bhVdDecQ5xRpdJXVpbDUIDzAudhy0RW1itdUYgENoHjPyQNm3ahM8//1yXIEKLVCrF5s2bsWHDBlaUa4uEh4czDhpno+9z584xahsbG4vXXnuNcd98Lh/h7uEIdw/H2wPfBkVRyCjPwI3cG7iZexPp5enIKs9CVkUWHlY8hELVuGtgY1iJrOBr6wtfO1/42voiyCkI4/3Ht5iR1hxmfDMM9R6Kod5DsRIroabUSC5OxvXc67iddxuZFZm6MciuyIaKop8+3l5sr7t+X1tf9HLthTF+YzpcBsD2gkAgwNq1azFu3DjabZVKJd5++23s27ePdttly5ahtpZZccy1a9dCIDDNhM7B3AGxz8Zi+cnlWHNxDSi0zxS2Qp4QZvyWTfDDhMHvDUbSQWbGN8G0zAqehW6O3TB371zEF8S3tjqMsTGzaW0VCIR2BS3DqaKiAhRFgaIoVFZW6mWWU6lUOHz4cLupFzT/1fkokBegpram+ZPrYNfFDu/++y4shBbo5doLfdz7sF4cT0u5rBzXc6/jWs41lEpLUeJXgqELh9KSIeKL4GbphhAf/SDxopoi3Mi9ges511Ehr2Ckn53YDr3deuOtgW/pxdioKTUKqwuRVZGFrPIslMpKIVfKIVfJIVfKIeAJYMY3gxnfDBKBBN423vC184W92L5eBrDC6kIcTj6MG7k3UK2oZqSng7kDwtzC0NOlJ6zNHsWs5FTm4FrONdzKuwVprZSRbFdLV/Rx64OIrhEQCx7FhKnUKuRV5enGoEJeobt+hUqhm7iZ8c1gKbJEZ9vO8LX11dMP0NRWyK7MxrGUY7idfxtyJbNsbe5W7ujt1huhzqF6ehKaZ+zYsZgwYQIOHTpEu+3+/ftx6tQpDB8+3OA2586dw+7du2n3BQCTJk3CmDFjGLU1FDO+Gb4e/TUm+E/A/H3zkVWRZdL+2ITP5WNhj4VYPmQ5PK09W1udZvHo5wGfET5IO5nW2qoQGiDUJRRXF11tlwsJ3jbeWDV0lV4mVoqikF2ehes513Er7xZkShkj2W6Wbujj3gc9XHqYZIGCoig8rHiIK9lXcCf/DqOFWgDwsPJAb7feCHEOAflWJBgKh6JR9YrL5TaZ2pbD4eDDDz/E+++/z4pypqCiogLW1tYoLy+HpaUlMsszcS3nms5AuZ57nXZxRR8bH/Rx74M+bpojzC2MthuXTCnDrbxbuJp9FVdzNEdCEb04LIlAgl6uvRDmGobebr3R2603/O39m3Rrq7tror3+G7k3UKWoMrhfDjjo6tBVbwxCXUJpPzAr5ZW4kXsDV7Kv6MYgvSydlgwbMxvNtbv2RpibZhy8rL2a/L+tVdXiftF9zfXnXMe13Gu4nXcbcpXhRgqfy0eQUxDC3cJ149DdqTvt5BLFNcW4lnMNV3Ou6saBbgFSFwsX9Hbrrfs/CHMNYyWBBh0elDyA3/d+jNuvHbMWr/V7jT2FjCQpKQlBQUGMdoF69uyJa9euGbRTrVar0a9fP1y9epV2PwKBAPfu3YOfH/Nxp0u5rByvHHmlzdeesRZZIzo0Gkv7LoWvnW+9zw8+fxA3fr9hVB+Lri2CW5ibUTIaIvVEKv4caZrx/UD5Abg803pQcD5kJ5ECtbJtGyWn009j/r75yCzPbG1VmiTMNQwv9n4R80LnQcgTNnperaoW9wrv4VrONd3c4Hb+bVpGCp/LR4hziG5e0Me9D7o5dmP0vVj3O/Fq9lXkV+fTkuFq4aqbF4W5hiHMLazRUixtuVCtqXjcFDDlGLTFYrt1bYPmsoPTMpzOnDkDiqIwYsQI7N69G3Z2j1yohEIhvLy84ObG/hcHmzQ3OBRFIb0svZ4xVSYrM7gPLoeLQIdAPUMixDkEIr4muYBSrcT9wvt6BsKd/DtQqpUG92EuMEdPl56PJsduYQiwDwCPa3wqbZVahaTipHrGFJ3dOQFX8OiB+d84dHPsptNPrpTjTv4dvYfh/cL7tFbsrEXWGuOojpHkY+PDyg1fq6rF3cK7esYU3ZUtMV+Mnq499YwpPzs/nX7VimrcyL2h+x+4kn0FqaWptPR0NHdEH/c+ekaSm6Vbqz/4O5rhBABvvfUWvv76a0Zt//jjD8yfP7/Z87Zu3Yq5c+cy6uPtt99utRjTmHsxePfEu0gpSWmV/hujv0d/PB/2PGZ0n9Gku2tbNpwoisL6/uuRfTmbddnEcGKXclk53vn3Hfxx6w9aC2+mRiKQYHbwbCwOW4wwN+ax0gqVAncL7uoZU3fy76BWbfiCkrnAXOOtU8eY8rX11X1nVSmqNN+L2VdxJecKrmZfRVoZvR1XZ4mz/uKhm+Z70VBa+/uzNSCGk4kMJy0ZGRno1KlTu/znojM4WiiKQmppaj1jio6Lm5AnRKhzKER8EW0jxIxvhh4uPdDbtbfuIdDVoWuLpspWqVVIKErQu/6buTchVRru4qZ9YMqVctorV5ZCy3pGUmfbzi2a2UihUiC+IF7PmIrLj6P1pWFjZoNerr1QWF2Iu4V3oabUBrd1MHfQ200Mcw2Dh5VHm7wPO6LhVF5eji5duqCgoIB2Wzc3NyQlJUEikTR6jlQqRUBAALKy6Lu+OTs7IykpqVXr6KkpNU6lncKv13/F3oS9tBaC2MRKZIV5IfPwfNjzCHE2rI5VWzacACDxQCK2T9nOulxiOJmGEmkJNt/ejF+v/0rbc4RNerr0xOKwxZgdPBuWIsvmGzBArpTrvhe1c4O4gjha97+tmS16uvZEflU+7hfdp/W96GjuqGck9XbrbfTiYVv8TjU1xHAygeF0584dBAUFgcvl4s6dO02ea2zRRVPCxHBqCDWlxoOSB3rG1I3cG6hUVBqln4gnQqhLqJ6RxGRruyVQqpVIKErQe2Aa4xetRRs/VvdB6Gfn1ybTv8qVcsQVxOkZU/EF8UZPGu3EdvWMpE7W7WexoiMaTgCwfv16PPfcc4zarlq1CitXrmz089WrV+O9995jJHvDhg1YsGABo7amIL8qHxtvbcTvN36nvYvKBD87P0zwn4CJXSZicKfBut19Q2nrhhOlpvBLj19QEEffaG8KYjiZFoqicC7zHH69/iti7sUwjsUxFCFPiKFeQzHBfwImdJkAP7uWc9uti0wpQ1x+nN7cIL4gnlHCpLrYi+3r7SR5Wnmy/r3YXr5n2YQYTiYwnLhcLvLy8uDk5KSLdWqoKYfDgUpl3M1hStgynBpCTakxbus4HH9wnFF7d0t3pC1Ng4DXflOc1qpqEfhjIB6UPmDUfojXEJyMPsmKy2FrIVPKYP6pOeNA4YU9FuJ/k//Xrh/eHdVwUqlUCA8Px40b9CfZ5ubmSE5ObtCdOT8/H35+fqiqMjy2UEvv3r1x+fLlVsv22RRqSo3LDy/jVt4txBXE4U7+HcQVxDFOSCPiieBl4wUvay/0cOmB/h790c+jn9ExfG3dcAKAuG1x2DN7D6syieHUchTVFOFC5gXdPXAn/w6SS5Jp7a7UxcHcQZNYydYXfd37or9nf/R06Ul70aClqJRXwupz5nOuF8JewE8TfmqR78X2/N3LFGI4GW4bGLyNkZaWBkdHR93PhPpwOVyjiqTyufx2bTQBgIAnMGp3TMgTtmujCdC4Vja2sECnvakpLy/H33//bRrZynIMsBjQ/IkczQOaA47mlav5uSKtAudqz8HKygqWlpawsrKClZUVhMLGg5lbAh6Ph++++w6DBtEvTlpTU4Ply5c3WK5h5cqVjIwmAPjuu+9a3WhSqpWolFeiUlGJKkWV7meZUgY1pYaLhQscJY4Y5j0MSpUShTWFyCzPRE5lDqRKKRQqBRQqBWpVtbqsmyKeCHZiO7hZusHDygOe1p5wsXCBucBc97k2MyVFUUbdM+7h7qitZpb+XYvYrvG8XBRFoaa2BsXSYpRIS1AuK4dSrYRSrYSKUj36Wa35WU2pweVwwePywOPwwOVwwQ3lwmGGAyADeBye7jPtq4ArAJ/HBweGj8OTOEFsipSSFFx+eNkoGT62Pujv0b/e2DqYO2BK1ymY0nWK7j1prRT3Cu/hTv4dZJRnoKa2BtWKatQoa6BSqyDmi2HGN4O5wBye1p7wtvGGt403vKy9IOAJcDLtJIprigFoFqselNBbsORz+RjmPQzOFs5GXbMhGJvNtaW+FwmaBfD2RFZ5Fs5lnjPKILOC4Ua9wTNcLy8v3c8WFhawt7cHAGRlZeH333+HVCrF5MmTMXjwYBqqEgiE1iInJ4dxIgJTcwZnsBL13dpEIpGeIWVlZQVra2t4eHjAy8sL3t7e8Pb2RmBgoMnifQYOHIhZs2Zh27ZttNv+8ccfeOWVV9Cz56MisvHx8fj9998Z6TJnzhz079+fUdvmUKgUuF94H4nFicgq19Rny6rIQl5VHirkFRoDSVGJSnllmwiEF/PFMBeYQyKUwFxgrvlZoPn579l/N7mg0+u5Xuj1XC9a/ZXLypFYnIi00jSUSEvwU9ZPKEkqQYmsBCXS+gcrblrdmj/FUmgJS5ElrERWsDGzgYO5AxzNHXWvfdz7YJj3MON1aQbW3adWaeSZcrXaz84PHHCwPX47tsVvw93Cu4zk+Nj4YE7wHMwNmYsAh4BGzxMLxAhzCzM4YQNFUYjNisX3l7/Hzns7aWcA1jLQcyBmB89GVLcoOEnaRwmZlsSQ/zGlXImSlBIUJRShJKUENUU1kJZIISuRQVoihbRUqnktkUIpZT/ek8PjQGwrhpmtGcR2YohtxRDbiWFmp/ndxssG9gH2cAhwgLkDvTqQAp4ACqUCJ9JO4K+4v7A3YS+tTMtaeBweRvuOxtyQuZgSMAUSYeMxvnQpk5Vh973d2BK3BWfSzzDy8LExs8G0wGmYHTwbPW0NL+xOKzlEXFwcJk2ahKysLPj7+2P79u0YO3YsqqurweVyUV1djZiYGEydOpWW8j/++CO++uor5OXlITQ0FN9//z3Cw8Obbbd9+3bMmjULU6ZMMbjIpHY77osvvmC0wiuRSDBt2rRGU/5uj9+OpGJmBQutRdZY2m9pg5/l5+dj586dKCwspC1XIpEgMjIS/v7+uvdSUlKwZ88eRmNgZ2eHmTNnwtW1YfeYH6/8iGJpMW25gOYLZ17ovAY/S01NRUxMDCOd7e3tMX36dJ2bFEVRuHXrFg4dOgSFgv6ExtPTE9OnT4eNjU2Dn3985mPGrnq93XpjvP/4Bj+7ffs2Dh48yEhnDw8PTJ8+Hba2tgCA+/fvo1s3A2Zi7RR/f3/07NkTTz31FGbMmNHo34oJWVlZCAgIgFRKv/7X8OHDceLECd3Ecty4cTh69ChtOebm5khMTISHhwfttg2hptQ4l3EO2+O340LWBdwvut9qCR7YRrFcwXg3X6lWIi4/DpezL+N23m0kFicioSgBuVW5LGvZMswNmYs/I0yfPt5UuwMt6eYTlx+HbfHbsC1+G+3SGFp6u/XG3OC5eDroacY7O4lFidhyZwu2xm2lnWFOSw+XHpgVNAszu8+El41Xg+dQFIUbN27g8OHDjEovdOrUCdOnT4e1tXW9z9SUGp+c/YS2TC193ftijF/DNepu3ryJv//+m5HOXl5emDZtWpPfD2qVGvl38pF5LhOZ5zKReyMXZelloNTM/xc5PA4kjhKI7cTgCXngCrjg8rmgVBRUtSqoa9WQV8hRlV8Fldy48BexnRhOQU7oNLgTOg3uBM8BnhBZGu4dJa2V4lDyIWyL34ZDSYcYLZRJBBJEBkZiTvAcPNX5KUaeSQqVAkeSj2BL3BYcTDzISA8xX4wpXadgVtAsjPEdo3NtNVlWvXHjxoHP52PZsmX4888/8ffff2PMmDG61dJXXnkF169fx6VLlwy+iB07diA6Ohq//PIL+vbti3Xr1mHXrl1ITExssphueno6Bg0ahM6dO8POzo624VRYWIjz589j8+bNjG64wYMHY8GCBZg+fTosLOjVbDKU2tpaHD58GBs2bMDhw4ehVBo+ieFwOBg+fDiio6Mxbdq0BnWsqqrC3r17sWnTJpw8eZLWFxKPx8PYsWOxYMECTJo0yWQuVDU1Ndi9ezc2bNiA06dP02rL5/MxceJEREdHY/z48RCJ6j8oioqKsGPHDmzatIl27RwzMzNERERg4cKFGDFihMncpUpKSvDXX39h48aNtGNrzM3NMW3aNMyfPx/Dhg0Dj/fIDZJtw2nbtm0GTeIpioJKpYJcLodCoYBCoYBMJkNxcTFycnKQk5ODzMxM3Lx5ExUVzGJhHkckEiEiIgJvvPEGevfuzYrMjz76qMlkD01x4MABTJo0CceOHcPYsWMZyfj444+xfPlyRm3rQlEU1l1ah28ufoPsSuNSXvM4PAzqNAjBTsFwt3KHjZkNrEXWsDazhpXISuOKy+GBz+XruZoBmomVSq2CilLpXNYUKgVkShmkSilkSpnm51qp3m6X7mdFJcpkZSiRlmgKhktLdFk/6RpO5bJyHEk5ggOJB3A4+TDK5eVGjQsHHPja+cLTyhMO5g6wF9vD3twe9mJ7ze/m9rA1s4WILwKfy9cdHHD0XPm0h9alq0pRheraalQrqlEmK0OxtFhz1GhcAguqC5Bblau320UMJ2Z9Xs6+jG1x27Dj7g7aNYQAzb0xyncU5gbPxdSuU5tdfc+vysf2+O3YErcF13KuMdLbz84Ps4Nm4+mgpxHoGGhwu8LCQmzfvh2bNm3C9evXafUpFosxbdo0LFiwAMOGDTPZ92JxcTG2bt2KDRs24Pbt27TaWlhYICoqCtHR0Rg6dGijOlblV+HKD1dw7edrkBbTXyQDAKdgJ3gO9IRbmBtsfGxg4WwBibME5vbm4HCbv0coioK8Qo7q/GpU5VehMrsSebfykH05G5nnM6FW0o+R4/A46BbVDQPeGkA7LrNcVo59CfuwLX4b/k39l1HCD2eJM2YFzcLckLno5dqryWeFdpd1y50tjHdZ+Vw+xvqNxaygWZgcMLnBOqsmM5wcHBxw8uRJhISEoKqqClZWVrh69SrCwjTbzAkJCejXrx/KysoMvqC+ffuiT58++OGHHwBoCkB6enrilVdewbJlyxpso1KpMGTIECxcuBDnzp1DWVkZbcOp7uAUFxdj+/bt2Lx5M65cuWKw7oBmN2fGjBlYsGABBg0axMqXxd27d7Fx40b8+eeftFMfd+nSBfPnz8fcuXPRqVMng9tlZWVh69at2LRpExIS6KVPdXBwwJw5c7BgwQKEhobSatsQFEXh0qVL2LhxI7Zv347KSnqZCnv37o358+fj6aefhoODg8Ht7t+/jz///BN//vknHj58SKvPTp06Yf78+XjmmWfQuXNnWm0bQqVS4d9//8WGDRuwb98+WjtMhhjNAPuGU3JyMqvFV1UqFfbt24dly5YhJYWd+kDm5uY4f/68nqscU2pqahAYGIjMTPoFL7t06YLbt2+jd+/euHuXvjuQl5cX7t+/D7HY+Hr3O+J34OndTxstx1pkjdsv3G50Nbs1kCllKJWWwsXCxaBnc25lLj4++zH+d+N/tMoMPI6l0BIjO4/EqM6j0NejL7o6dG2yjpQpoSgKJdISZFdmI6cyBxZCCwzqRD9Gjy4dyXCqi0qtwun00/gr7i/svr+bkVEtEUgwtetUzA2Zi5GdR+pW36sV1diXsA9b4rbgnwf/MJqUulu6Y2b3mZgVPAthrmFG/x3u3r2LzZs3Y8uWLcjJyaHV1tvbG8888wzmz58Pb29vo/QAAKVSiePHj2Pjxo3Yv38/rQVvDoeDkSNHIjo6GhEREU2XhiiR4p93/sGdP+8w3u0JnhOMYR8Og52vXbPnMkVaKsWN32/g1AenoFIw09NnhA9GrxkNl9CGiwE3RUF1AWLuxeCvuL9wIesCo/67OnTF3OC5mB08Gz62Prr3E4oSsPXOVsa7rBxwMNR7KGYHzca0btNgJ27672Ayw6luZj0AsLS0xO3bt3UTxfz8fLi5uRmcVU+hUMDc3Lyee9/8+fNRVlaG/fv3N9hu5cqVuHPnDvbu3YtnnnmmScNJLpdDLn+0nVdRUQFPT89GBychIQGbN29mNHn28/PDggULEB0dTdt9pqysDNu3b8fGjRtpG2+2traYNWsWoqOjER4ebtSDkqIoXLt2DZs3b8a2bdtQXEzP5a5Xr15YsGABZs+erVcg2RByc3Px559/YuPGjbSNN3d3d8ybNw/z5s0z2hhQqVQ4ffo0Nm/ejN27d6O6uppW+2HDhmHBggWYNm1akw/nhkhJScEff/yBTZs20f7/CwgIQHR0tMFGc1s3nABNAov58+c3+ixgws6dOzF9+nTWZM2cOZNR28GDB+PcuXOM2u7atQtRUVGM2j5OSkkKBm8cjLyqPKNlmfHNMNBzIDrbdoaTxAlOEifYi+1hKbKEhdACEoFE8yqUQMwXQywQQ8wXt4mkOH/e/hOL/15Mqzbd41gILfBG/zfwev/XYSVqvZpabYGOajjVRa6U42jKUWyL34YDiQcY/e84SZzwdPenUSIrwd77e1FdS+/7BtCUr5jebTpmBc3CYK/BJindoVKpcPLkSWzatAl79uyh7aY8YsQILFy4EBERETA3p7eIkJSUhI0bN2Lz5s20jbfAwEDMnz8fc+bMMWheplapsWXMFqSdYJ4ELeLPCITMbbmyPHm38vDXxL9Qmc2sHI6FqwWev/48LF2Z1/rKKMvAjrs7sC1+G27l3WIkY6DnQAz3Ho6jD44y3mXt49YHs4JmYUb3GXC3cje4nUkNp/z8fF12PUtLS9y5cwc+Phorka7hlJOTA3d3d8TGxuoFOL/99ts4c+YMLl+un93m/PnzePrpp3Hr1i04ODg0azitWrUKH374Yb33mxsctVqN06dPY9OmTbQnz1wuF6NGjcLChQsxefJkmJmZNdrHqVOnsGHDBuzZswcymeH1j/h8PiZMmIDo6GhMmDChQTc0Y1EoFDh8+DA2bdqEQ4cO0VrdEQqFmDJlChYuXIhRo0bpuYg93sfff/+NjRs34siRI7RS2Wvd0KKjozF8+PBG+zCGqqoq7NmzB5s3b6btzmhpaYmZM2diwYIF6N+/fpalun3ExMRg48aNOHv2LC397OzsdEZznz59aE1W2orhRFEUlEolioqKkJOTg+zsbGRmZuLGjRvYvXs3a+56FhYWePvtt7F8+XLWJnUURWHYsGG0/27GMGzYMJw8eZLViam0Vopd93Zh/c31uJh10ajdFibwODydEWXGN4NYINZL7iARSiARaA5LkaXO1c1ObKfn9mZvbg8zfsPP26aIzYrFsD+GGXXd1iJr3Fx8U2/VlCkJRQktktkqyCnIZAbOk2A41aVKUYUDiQewLX4bjqYcNXl8oHbXalbQLIzyHQUhr+UyjlZWVmL37t3YtGkTbRd6KysrPP3001iwYAH69u3b6P9JZWUldu7ciY0bN+LCBXq7Gfb29pg9ezaio6MRFkZv160kpQTf+39Pq7+62PnZ4ZXkVxi3Z8rhJYdx9Ud64QZ1mbppKkKjjfcYAoD7hfd1CVaSS5JZkdkUgQ6BmBU0C7OCZzGuXWZSw2ncuHG6SfrBgwcxYsQI3aq6XC7H0aNHTWY4VVZWIiQkBD/99BPGjRsHAKzvODWEMbFAtra2mD17NhYsWIBevTS+nGlpabpdhYyMDINlARo3tOjoaDz99NM6A7YlMCYWyN3dHdHR0ViwYIEuQUVcXBw2bNiALVu2oKioiJa84cOHY/78+YiMjISlpWmqoTdEZmamzp0xMTGRVtuAgAAsWLAA8+bNg5ubGyiKwoULF7Bx40bs3LmTVsILrdE8f/78RmO3DIFtw8nR0RF8fvMBn1pDqW6Mk6kmQwKBQBeP2Jx7BlNu3bqFXr16tciEjsvl4saNG6y4xDaGTCnDrbxbiC+IR0pJCpJLkpFVnoWimiIU1hQyyq7Ukoj5YjhJnOBj64PONp3ha+eLXq690MetD+zN7Rts8/qx17H20lqj+l3QYwE2TKmfap4JXuu8kFlO3wWULsoPlCYr//CkGU51KZGWYPe93dgWvw2n008zThT0OEKeEOP9x2NW0CxM7DKx1dw/65KRkYE///wTmzdvRnIyvUlyYGCg7nvRxcVFUzD43Dls2LABu3btQk1NjcGyBAIBJk2ahOjoaIwbN45x3LVKocKGgRuQc43ezpYWDo+D6H+j4T3Mm1F7JpSmlWLL6C0oSWGWZdHSzRLPXnwW1p3qJ/UwBoqicCP3Bv6K+ws77u4wOoa2Lp2sO2mMpaBZCHEOMfp5YzLDydDK9Bs3bjToPLquerdu3ULPnj31dhbUak1gHJfLRWJiInx9fZvs09gCuMbEAoWEhMDOzo72Co27uzvmzp2LefPmoXv37rTamgJjYoEGDhwImUxGO+BUG7s1Z84cvdT4rQFFUbh69arOnbGkxPCHlXY3MjU1lfaXDNPYrcboSFn1HBwc4OXlpTuCgoLQq1cvdOvWrUVqPy1evBi//fabyft54YUX8PPPP5u8n6aQKWUoqinSHYXVhSiqKUKlolIvYYH2VVorRU1tje6QKqW65AYtnca8n0c/PN/recwMmqk36TyYeBCTt082SranlSfiXoyDtZnxkw9iODVOezCc6pJdkY2dd3fig1MfMHLDAwAPKw98OOxDRAZGwsbMhl0FWYKiKFy+fBmbNm3C9u3bacW683g8jBo1CikpKbTjWfv27Yvo6GjMnDlTVybHWCqyK3DoxUNIOsgsQzKHy8Hg5YMx8O2BEEpM9/2jUqgQ91ccji49CnkFs2epz1M+mPbXNEic2F9UrIs2a+u6y+uwL2EfYzkzu8/EK+GvoL9nf1ZdUk1mOJmCvn37Ijw8HN9/r9kaVavV6NSpE5YsWVIvOYRMJqt3Uy1fvhyVlZX49ttv0aVLl2YnScYaTlq0sUCbNm2iPXk2BHNzc0RGRiI6OhojRowwiRuasWhjgbTujHRWhwyBzdgtU6FQKHDo0CFddkY6mQ8Ngc3Yrcdh23AaMWIE7QyTXC4XPB5P91r3Z229psfrNj3+u5WVVaPusC1FYWEh/P39UV5uXPa1prCxsUFSUlKL7jSbGpVahSpFle7QZsorlhYjvyofeVV5eFj5EJcfXsb9ovus9dvDpQcuPntRz63vw9MfYtWZVUbJ7WLfBZ+N+AyRgZFGPa8yyzMNcvWat3ceYrNiGfdDDKeWo/O3nRmnEp/gPwF/zzZNsXJTIJfL8ffff2PTpk04cuQI69+Lnp6euu/Frl27siq7LkUJRbi45iJub77NKEkE34wP39G+8OjvAdderrDytIKFswXMbOkV86UoCrIyGarzq1GRXaHLqvfg+APIy+kbTFwBF76jfNHz2Z4ImBIALq/lCqjvT9iPqTumMm7/z7x/MLLzSPYU+o92ZTjt2LED8+fPx6+//orw8HCsW7cOO3fuREJCApydnREdHQ13d3esXr26wfbNueo9DluGU120sUDXrjELZnscPz8/TJs2rUXd0IxFGwuUlMRsheZxevXqZbLYLVNRVFSEnTt30g5ebQgOh4OhQ4eaLHYLaDsxTh2FtWvX4vXXXzeZ/HXr1mHp0obrvBnLybSTUFNqOJo7wlGiKZbakjETzUFRFD479xmWnzI+/ToAmAvMkflaZj3XvSvZV7Ds32U4lX7KKPmhzqGYEjAFY/zGoKdLT4gFxmc/bIhRf47Cv6n/Mm5PDKeW40kynOpSUFCAXbt2ITfX+Lpn2oyxpkxz3hDyCjmyLmYh8/yjOk6KSuYFrbl8LiROEkicJDCzNQNP0HQdp+r8asZZ8wDA2ssaTt2d4BjkCK8hXvAe6g2hRes83zuC4US/AhXLzJw5E4WFhVixYgXy8vLQo0cPHD16FM7OmkJxmZmZJrlBrFdbA2wvUrOVGCoDWLDGMLdIOlArH33hcD400e4NW2MQ99/BMu1pDD658AnALMNnk9QdAwJ7LFmyBL/99httF15DCAwMxEsvvcS6XC0fnPqg3s6FlcgKjuYaI8rGzEZXk8nGzAbWZta63yVCTQIHMV+T0MFcYK5L9KCtR6St2aT9mQNOvdpEtepaVCuqUSorRZmsDKXSUhRUF+BB6QOcTDuJm3k3WbnWAPsA/DLxlwbjncLdw3Ei+gTu5N/B/sT92Jewj1G/t/Nv43b+bXx09iNwOVz42/mju1N3uFq4wsHcQTeudQ8LoYVeDSetG4qaUuvGR66Uo6a2BlWKKpTKSlFcw6zQOIHQGG3+e/HcJwCzZKRN0tT3oshKBL8xfvAbo1kYpCgK1fnVKEosQnFSMUqSS1BTVANpiRSyUhmkpf+9lkhRW1M/yYtaqUZlTiUqc5hlwXscDpcDGx8bWLlbwdLNElaeVnAIdIBTdyc4BDrQKnZLaJ5WN5wAzYRjyZIlDX7WXDzQH3/8wajP8nfZ23HSwtYDpyUmtqbqg4wBO2NAjJv2h0AgwNq1a3WJa9hk7dq1EAhaNmV3hbwCFfIKPCh90KL9mgIvay9MDpiMeSHz0Nutd5O7IRwOB6EuoQh1CcWKoSuQVZ6FC1kXcDHrIu4U3MH9wvu0CqCqKTUSixORWEwvoQyB0BqQ78Xm4XA4sHCxgIWLBbyHejd5rkqhgrRUqmdUKaoUoFQU1Co11ErNQakozauagqxchtxruXh4+SGq85uPi6PUFJQyJcT2YjiHOsO9rzvcwtwgsiIGkyloE4YTgUAgdATGjh2LCRMm4NChQ6zJnDRpEsaMGcOavIaY0W0Gutp3RYWiQmcwaY9yWTmqa6uhpuhXqG8JRDwRLIQWsBXbwsPKQ3NYesDT2hPBTsEIdg42KqDe09oTT1s/jaeDHhUJLpWW4n7RfdwvvI+HFQ9RIi1BsbQYxdJizc81mp/LZGXGXyADeBwerM2sYS2yhrWZta6mlpO55tXZwhlOEieT1PshEAiP4Al5sHC2gIUzvfhfQLOzVfGwAtlXspF9ORvZV7KRcy0HtdX1d7EqsyuRsDcBCXv/83jgAI6BjnDv6w73cM3hFOwEnqDtxcu3N4jhRCA8odjZ2eG5555DamoqrfpZWmxtbREQEKBLzEC34DETlEolTp8+jQsXLjCKdQgLC8PIkSMhFpsm5gQA1qxZg2PHjrESEC0QCPDNN9+woFXj1KpqMcp3FFwsXJBUnAQVVf9/gaIoqCgValW1qFXX6l4VKoUuiYGzxBlulm6wFdtCpVZBoVJArpJDTakbPSiKAo/LA5fDBZfDBY9T52cuDxZCC13hXB6Xh7yqPGSWZ6JMVgYhTwgBV9BojE5BdQFOpJ3AibQTuvckAgm6O3VHsFMwPKw8dDtPMqUM9wvvI64gDmmlabTTR9uKbeFi4YJujt0Q4hwCLxsvcDlcqNQqnUud1rgqkZZArpTXc1VUUSrNq1qlu34eh6f3qlApUFRThLyqPMiUMvC5fAi4AvC5fAh5Qoj4IpjxzSDgChrdVRPxRfC08qxXw6lSXol7hfcQVxCHhxX0sqXWHd8gpyCEOJuu+Gd+VT7u5N9BXEEcKuTMarw5S5wR5BSEIKcg2Iptde+npaXh4MGDjJI92draYvLkybq6lo+ztO9SlMpKGenbxb5Lg+9TFIX4+HgcOXKEUXImT09PTJ48uUMlnDEWiqKQWZ6J+IJ43C28i5paZkmvOll3QohzCLo5dmOcNp7D4cDa0xrWntboNk0Tj6xWqVF0vwiZlzKRmpiK/Kp8lEhLGnxmFaAABeoC3Lx0E7gEQATAH0AAAEuAz+Wji30XBDsFw9/eH3yuxiSora3FmTNnEBsbq8tcTYeePXtizJgxDSZtCnAIwMqhK2nL1NLZtnOD79fU1ODIkSOIi6Mf48Hj8dCrVy+Dz2/15BAtjSmSQ2hpT25qpoKMQftzSSgvL8fhw4exd+9eHD58mFaxZ4FAgFGjRiEqKgpTpkwxifFUW1uLEydOICYmBvv27UNxseFxHRwOB4MHD0ZERASmTp0Kb29v1vVriL/++ouVWKfAwEDMmjWLBY0MQ6aUIaEoAXH5cYgviEdcQRztibQZ3wzdHbsjxDlE73AwNyyFvppSI600DXfy72iOAs3rg5IHBhs0PA4PAQ4BCHIKQrBTsO7Vx9an2V2WKkUV7hbc1bv++IJ4FFQXGNQ3AFgKLRHsHIwQp0fXH+wcDCuRYd85SrUSScVJj8bgvyOrIstgHUQ8EQIdA/WuP9g5GO6W7s0mbiiRluBuwV3N9efHIb4wHnH5cSiXG5410k5sp7n2OmPQ3am7wZNIrTH7+P8Bnb+D1pCre/1BTkFwkjg12qa2thZnz57F3r17sXfvXtrJfnr37o2oqChMmzbNJMlyKIrCrVu3EBMTg5iYGNoJmQICAhAZGYnIyEjaxWGNob19LwKarJ9pZWmIy3/0HIgriENycXKDC0wNoY1xfPx56GXtZfDYaxcL6t4H9wrvQaEyPEFFJ+tOj+6D/54JXR26QsRv3J0vLy8P+/fvx969e3HixAlai4EWFhaYOHEioqKiMG7cOJibs19zrKqqCocPH0ZMTAwOHTpEa/FAKBRi1KhRiIyMxKRJkyASidpPVr2WhhhOpoWMQfv8gtAilUrx77//Ys+ePThw4ACtlVc+n48RI0YgKioKU6dONWoVUy6X499//0VMTAz279+P0lLDV2oFAgFGjhyJyMhITJ48GU5OjU+SAJL9yxDKZGWaScNjBhUdVzRXC9d6kwc3S7d6k+O4/Dha9W6YTAiYUFBdoBsD7SQqviCelq7eNt71jAlrM2vEF8TrGUj3Cu8ZXOOKAw587Xz1rj/YORh+dn66FWQ2oCgK2ZXZ9SaR9wvv09LV396/3hjwuXzEFcThdt5t3cQwsSjR4Mkpn8tHgH2AxjByDNIZSN423ka5I6rValy9ehV79uzBnj17aNcY6tGjB6KiohAVFYWAgADGelAUhevXr2PXrl2IiYlBamoqrfZhYWGIjIxEREQEAgMDGethDO35e/FxGlpgii+Ip7WwYSm0rPc87GLfBVnlWUYtFtia2SLYOVjveRDkFGR0fbmysjIcOnQIe/bswdGjR2kZKebm5pgwYQKioqIwfvx42mVL6lJRUYFDhw5h165dOHLkCGQymcFtLSwsMGHCBERERGDcuHF6NkC7Skfe0hDDybSQMeg4XxBKpVJv5TU72/Cq31wuF8OGDUNUVBQiIiLg4uLSbBuZTIbjx49j165dOHDgACoqDHfDkUgkGD9+PCIiIjB+/HhYWxv+JUEMJ2ZQFIWcyhy9SXR8QTzuFd6DTGn4l5mh2Int6u2edHfszkrBWaaoKTUyyjLq7cwkFicaVIeJLq4Wrvq7aM7BRrkCsYFSrURKSUq9SWRKSQptl0dD8LL20jOQgp2CEeAQYPL0+RRF4e7du9izZw/27t2LW7du0WofFBSkM6K6devW7HNHrVbjypUrup2ljIwMg/vicrl6O+2tXTQe6Djfi02hXWDSLTL99zxg6qLZFNqd/cd3U10tXE2+i1hTU4Pjx49j7969OHDgAK1ix2ZmZhg3bhyioqIwceJEg+bhZWVlOHjwIGJiYnDs2DHI5YbXrnJwcMDkyZMRGRmJp556qtGaj8RwagI6g0NRFGRKma4oY91XmVIGlVoFFaXSvc7fN58VHX+d+KvOp12bmlbrxy7gCXS/C3nCBg+JUAI7MfsuUxRFQV2rRm1NLRTVCtTW1GqO6lrde4G32FnNSuiZAIG5QHNIBI9+NhdAKBGCK+C2SkFciqKgkqt0197QOATeNn4M4rrG6a617rXXHYuWDPJUq9W4du2abuU1OTnZ4LYcDgdDhgxBVFQUIiMj4ebmpvtMKpXiyJEjiImJwcGDB1FVVWWwXDs7O90D0Zi4JWI4sYtKrcKD0geIy4/DptubcDDpIGNZ7w16D0O9h7bYhIAtFCoFEosSEVcQh++vfI9LDy8xlvX9uO91q8aGuju2BWpqa3Cv8B7iC+LxydlPGGdntBPbYfVTqxHsFIzuTt0Ndnc0NWlpadi7dy/27NmD2NhYWvd7165ddUZUSEiI7v9arVbj4sWLOmPp4UPDXWSFQqHeTrup45bUlBrViup686MqRRUUKoXe3EilVuGZ/c8Y3efPE37Wi/t7fE6k/b2p+ZGt2LZFFxooikJuVS7i8uNwKv0UvrjwBWNZU7tOxbyQeQhyCoKvra/JarDRQRsPtWfPHuzbt49WvS6hUIgxY8YgKioKkydPho2Nje6zkpISHDhwADExMTh+/Dhqa+snxGgMDw8P3Q7roEGDwOc3v/NODKcmqDs41ZxqXM+9jpu5N5FZnonsymzkVOagRFqiewgY6ipgKFwOFxz895Ck1CZZkRvqNRSnnzlNq41SrkTpg1KUpJSg5EEJytLKUJ1frSu+Vl1QDVm5DJTKMH3NbM00k3shT//4b7KvUqg0R61K97OiSmFwFWwOjwORlQgSJwksnC00xeRcJLD1sYWdnx1sfTWvfJHhriqKagVKkjXXX/qgFGXpZbprr8qvQnVBNRSVClBqA8aAA4jtxBCI648BV8AFpaagUmiK3OnGQqGCvEIORZVhfstcPhdmNmaQOEsejYOLBLadNddu52cH2862rFcFpygK9+7d000abt6kV+dm4MCBGD9+PG7fvo1Dhw7Riqlyd3dHREQEIiIiMGTIEIMeiM1BDCfT8d3l77D0KPOivUlLkuBv78+iRi3PK4dfwQ9Xf2Dcvq2vshvCmC1jcPzBcUZt/e38kfQKO4XVTUXdWJCTJ0/SmuT5+fkhKioKVVVV2L17N62Jp0Qi0bkejR8/njUvGpVahaTiJFzLuYa7hXfxsOIhcipzkFuVi3JZOSoVGgOJTTjg6NwqKVCgKMok86N1Y9ZhaT/TFBJvjvuF99HtJ+ZF538a/xNe7PMiixqxi1qtxuXLl3VzgwcPDF8s0brYDxkyBKdPn6YdU9W1a1dEREQwjt1rVwVwW4ugn4KQJTfcH7UhnCXOeGfgO/Cy8YKrhStsxbYw45tBzBdDLBBDxBPpMkZxwGn0D6l9QKjUKtSqazXFDh/LXiVXyiFTyiBX/feqlEOqlEJaK0VNbY3e4WrpapD+uTdykXIsBWn/piHzQiZUcnpGoshahK5Tu8K1lytsfW01dQ3+M2J4QmYrIUqZUmeoVOVVoSS5BLnXc5GwL0GvkByloiArlUFWKkNxYsPJAvhiPryGeKHzyM7wH+8Px276K3AURSHjbAZS/01F2r9pyL6abbBhqMXC1QIBUwLgEuoCGx8bTdpRFwuYO5iDy2dmsNTW1OquvyqvCkUJRci+nI3kQ8lQKx9luFEr1agpqkFNUQ0K7xY2KMvMxgzew701YzDBHzZeNox0qguHw0H37t3RvXt3LF++HOnp6Tp3vvPnzzdrMFy4cAEXLhhe2dff31+3etSnT58WrRhPIBAIzeHi4oLFixdj8eLFuliQvXv3GpTtLiUlBZ9//rnBfdnb2+vttDfmesQEiqLw6pFX8cftP4w2jIZ4DUF0SDRcLV3hYuECC6GFbm6kzfxo6PxIRamgptR68yJtUWiFSqGbE2nnSNpC0VJl/flRL1fDs6cR6MHlctG/f3/0798fX3zxBeLj43Wurbdv326ybW1tLY4cOYIjR44Y3F9rxe49sTtO87bNw+nc07SC+RrCzdINXtZesDe3h6XQUpc6V5saVsQTQcQX6VLnareRG3oV8TSpZLUpZRv6na2t2WNvHMOlNczdR4Z/PBz9/q8fhBLT+pVrkZXJcOajM7i0lqHOHGDMmjHo91o/AJqH8Y6pO5B4gHlRyqmbpiJoVlCLucxV5lTi6GtHcW/XPUbt+WZ8RP4VicCIRw8Y1qvEVwFIAcBGiAsXgDcARwAsqvn4Cv6TvuOkTQhy6tQp2inUORwOBgwYgAkTJjQY8Hsr7xbOZpxlrFt0aHSDNZiysrJor2hqsbGxwaRJk9C796NCuOXl5Th06BAuX75M++8mEAjw1FNPYeTIkRAK6z8PT6efxp38O7T11PJq31cbfD8xMRF79uyhtUOhxdXVFVOnTtWbbOTn5+PAgQOM0vmam5tj/PjxGDhwIHi8+s/DfQn7kFmeSVsuANiY2SA6NLre+xRF4caNG9i/fz+tGAstvr6+9eJ/WH8eKgCkAihjSZ4zgE4AWP7KqftM3HBzA/Yl7MOp9FNGGU88Dg8+tj7wtPKEtZm1bn4k5ot1cyJj5kePz5FEPBErz3JtbNmhQ4dQXm54Fkkt2oU+d3f3ep+VSEuw5c4WxroN8x7WYKr/yspKHDp0CBcvXmT0/BoxYkS9+B/W74USaO4FNkI/BQB8AdiwIEuLDMDnIK56DVF3O87S0hJZFVlILU1Felk6imqKUCotRalMc5RIS3S/S2ulkCllkCllkCqlrVYMks/l6wo+2pjZNHjYi+3RyboTvG28EeoSCjN+/RWp85+fx8n3TxrmdtYAfZf2xeD3BkPiJDH2kgyiNK0Up1ecxp0tzCYgFq4WGLN2DIJmBgHQfOn+vfhv3Pj9BmOdRn01CmGLwyCybJnq3Hm38/DPm/8g9V96GZW02PnbYdLvk/QqnbP+cGwHEMOpYUpKSnDw4EHs3bsXx44do5WtyMzMDGPHjtUF/NJJzmEoGRkZ2L17N3bt2oVLl+gtoDg7O2Pq1KmIjIzEsGHDGjRwACA7Oxv79u3D3r17cfr0aVr1zaytrTF58mRERUVh9OjRrO4EaLl7964u/iU+Pp5W286dO+tcWfr169fozm1SUpJuB/ny5cu0+nB2dkZkZCSioqJYc6WtC0VRegkT0tPTabUPCQnRjUFwcHC9e/9JfB4CDbuD1qpqkVySjPSydGSWZ6JU+t+c6L/5kXZuVCYr082NtEdrIeQJYcY3g5XIqv7cSKR5dbZwhpe1F/zs/NDVoWujz3+5XI6TJ09i79692LdvHwoLG/bqaIwBAwbo0tJ36tSJjcvTo7y8XJcw4ejRo7QSJojFYowdOxaRkZGYMGECbG1t653zxN0LxHBqHLay6tWqaus9LKRKKRQqBWpVmu1j7Tay9j25Sq63razdUpYqpahSVOniqgqqC/Cg9AHyqvKMvl4xX4yh3kMxP3S+XuV7ACjPKkfaiTTNcTINlTmVtGTzhDz4jvaFSy8X2PrYQuL8X5zNfzE3dHZiKIrSuOnlV2tc1Oq46uVcy0HG2QzQcXfm8rmw9bWFR18PdB7dGd2nd2/QfbAosUg3Bumn0yEtkRreCQChpRB+Y/3gHOoM607Wj9wVnSUadz0a8UUURUFRpdDFlum56l3SVAynA0/Eg0OAAzz6e6DLxC7wH+8PDpfU7HgcYjjVp7q6GkePHsWePXvw999/08pwKBQKMXr0aF3Ab0NfyoaSmpqqmyRfvXqVVlsfHx+dG0e/fv0a3AlpiuLiYvz999/Ys2cPjh8/Tjvt7aRJkxAVFYWxY8cyrmFCURTi4uJ0Y3D//n1a7YODg3VjUDcJgaFoDck9e/bgzJkztAxJBwcHREREICoqCsOHD4dAIKDVtxa1Wo1Lly5h165d2L17N7Ky6HmJ9O/fXzcGvr6+jHQwlicp2yxFUbp5zuPzI+3cqLH5Ud15kTYsQVor1cyNFJWokFcguyIbySXJrMRYuVq4YpTvKLzZ/00EOwc3ep5KpUJsbKzO7YxOhkMACA8P1xlRnTs3XMDVEEpLS7F//37ExMTgn3/+gUJheB0n7U57REQExowZY5K6SobQVucGJDlEE2gHJ3JTJGxtbHWV6eseEoFE54er9cmt+yrgPcrY0lSFdkNRqpW6WKUSaQlyKnOQXpaOFadXIKeS3mS5ISyFlvhgyAd4a+BbTZ4nLZVqEkRok0MUVOslR5BXyB9lkKupbdaQ4fA44An0kyLwhDyAgl5CBG2CCEMMI56QB7G9GGI7/UPiLIGdryYZgm1nW1h5WNGOMaIoCjWFNfrJIQqqHx351VBUKfTHoBk4PI5eYozmkkMYgsBcUO/6zezMYOlqCVtfW90YWLpatpih9Dht9eHYEMRwahqFQqG38lpQYHhNET6fj5EjR+oKJDs4NJ8VLikpSbezRDfxSHBwsG5HgYmh0BhVVVU4duwYI0OSbg0TiqJw8+ZNnbFEJ4MloDEUtAlU2CzAWlxcrLcjSWeF29bWFlOnTkVUVFSjLo11UalUuHDhAmJiYrB7925aRWj5fD6GDx+OiIgITJkyRS+LZ2vRngynsxln8dv13xqcG1kILWAuMG90bmTGN9ObH/E4PKPuQa0Rpo1PKqguQE5lDq5kX8En5z5hxfOni30XrJ+8HoM6DTJYp5s3b+oSINy7R891vlevXrqMiv7+zSe+KSoq0hlL//77Ly13ahcXF92zYNiwYYwXL9ikrc4NiOHUBNrBwTIALHlS8Ll8nRHF5WjSZHM5XL2jboCjmlLr0nTKlXLUqg3PwNMYZnwz2JjZwN3SHe5W7vC08kQv114Idw9HoEMg62krH0/LXe+Q1oJSU40fKgqVOZUoyyhDeXq55jWjvEljROIkgUOgA2y8bWDjbQNrL2vNz142sPKwYpyQginaXbLGxkApVWoSfzQyBupaNSoeVqAsXXPtZellKM8sb9KAsu5kDfsu9rD2toaNV51x8LKBpbsl6xn0mNJWH44NQQwnw1GpVLh48aJu5ZWOqxSPx8Pw4cN1tb3qFia+f/++zlC4c4eeO26/fv10OwpsGgqNoTUk9+zZg/3799MyJBurYUJRFK5du6YrcJqWlmawTD6fj2HDhiEyMrLFDIWqqirdjuShQ4doGZKNuTRq68bFxMRgz549yM/PN1imWCzGmDFjEBkZiYkTJxq1y2kK2pPhtPXOVszdO5c1eXWNqMfnRdq5Ut15kZpS61KYsxUWYSG0gKO5I9yt3OFu6Y7Otp0R7h6OPm594G5VPxaJDomJiTrX1itXrtBqGxISojOi6sYbFhQUYO/evYiJicGpU6do7fR27twZkZGRiIyMRN++fdtcMqW2OjcghlMTaAenuLQYQnNhvdgl7c/aLeS6rndylRxSqRRymRwKuQIKuQJyuRy1ilrIFZrXWkUtVEqVzlCiKE1aTe2DgUtxdTUIuByufk0CPh8CoQACoQBCoRACkQBCkRBCkRBWEivYWNjA2tIaVmZWsBRpAi0thZaQCCW0K8SvX7+eUeAjm/D5fPB4PN0rj8cDp4YDqoyCqkQFVbEKqjIVuOCCw+VAINCMi/YQiUS6hwKHy4Glu6WeMSG2Ezc6KVar1Vi3bl0LXm19OByO3vXz+XzNl0kNB+piNdSlas0YVKg073M5etevPbRjwBVwYeVhpTMmrb2sYWbNfpyFQdfWRh+ODUEMJ2ZQFIVbt27pVl7v3r1rcFsul4shQ4YgLCwMR44cobVqqzXAtDsKDQVhtxRaFx7tGNBx4dHWMPHx8cG+ffuQmWl48gRtTFlERAQmTpwIOzv26/YZijGxIFqXRgsLC9ptra2t9VyPJJKWibdlQnsynB53tas7L9K6zmnd7Oq63slqZZDJZJDL5Jp5kbxWNz9SKBRQKBSora2FWqWZC2nnRpT60fyIx3k0N+Jz+Y/mSVwe+AK+bm4kFAk1P4uEEJmJYCOxgY2lDawtrGEpstTNj7Q7ZNo056bm4cOHOtfWs2fP0jJ4unXrhnHjxuHGjRs4c+YM1GrDDcaQkBDd4lFDsXttibY6NyCGUxM0NDhqlRoVWRW6GkalqaWozntUu6c6vxqyMplBrlmAJg220EJYv4bRfzsij7tnqWo1OzeKSsP8VXlCHoSWwke1e5wlkDhLYONl86iGka8d+GaNG1OdO3emtarZVjEzM4OVlZXucHBwgKenJzw9PeHj44M+ffogICCg3qqLUqlsE9vWbGBubq43Bk5OTrox8PPzQ3h4OLy9vVv0YdpWH44NQQwndjAmqUBzmJmZ6e0otKah0BhaQ1K7G0fHkDQEa2trTJw4EZGRkW3WUDA2FqQ5DE3y0dZoT4bT49RKa3Uu/KUPSlGW8V99w/w69Q2rFAaXMxFZi8A34zdY41Hrwv64G7+8Qm6wfIG5oMH6hna+j+o7Wntam9yNvaioSOfaevz4cVqurYYwYMAAnRtea8XuMaGtzg2I4dQE2sFJv5WOggsFmsQAp9IgK6WXCYYr4MJ/vD/cw91h38VekxTARWPECC2EjCZjtdJavaKzJQ9KkHczD4kHEg0uDKuFJ+Kh08BO8BnpA78xfnDtpV/biU3D6fPPP8eLLxpWlE2tVkOlUkGpVEKpVEKlUkEqlaK8vFx35OTkIC4uDkePHqVVOb0xrK2tMXDgQHz00UcICwsDwL7htGvXLowePdqgcx8fg9raWr0xKCsrw8OHD3Hjxg0cO3YMxcUN16mig5OTE0aMGIFPP/3UoOBUmVKGwupCVCmqUF1bjWpFte617ns1tTVQqpV6VeLruqLquV7895n2kcPhcPTqd3DA0XPn0Nb40O7M8rn8Ro+6aWvrprYd6Dmw2bpmxHAyQQalCgAZANhIPmoGwAcAy3Pkul++JskgVQQgB7SS2jSKBQAvsF550ZAJiJpSo7imGOXyct1zoEpRpfdM0L6nUCl0975SpUR+Sj4KMwp19712Z0Fb/F13j3C0LxxdgXitK5e2MKq1izXcAt3A5+vf+48/Gx5PZS3kCSHgCeBu6Y6BnQYyGielWomimiJUyCsavO667ylUCj13s+aeiY8/D+v+XPf59/hzscnnYSMpvbvYd0EPlx5N/09QFLJis3T1DR9eeqhXP9AQJM4SdJnURVPf0NtGNzeSOEloFaWvq5O8XK6bG1XmVqIooQgPLz7Eg+MPaN9j5o7m8Bnho6vxaOlmqfc5688DOYC0/16NRVumw7KZ82hiqDFSpahCcU1xs3MDqVKqmRs85n75+P1Q9zMtj88NuBwuuND//9fbjaRxL2jnB2P8xsBC+CjelBTANYDfwn6DUMXsm7jHwh546rOnYOHcdJAvXQRigS5+py6KagWu/nQV/779r8GyVHIV0k5qsuWdfO8k+v1fP4xZM4ZVfbVod33YgKIoFBYWolu3blCpVNi4caPRMsvLy3H8+HE89dRTOsOJbSQSCWtjoFarkZubC39/f5SVleHw4cNGyywoKMDBgwcRGRmpZzgV1RThavZVXMu5hmu515BQlID8qnyUy+m7cVoILeAkcYK92F4XQKytryHgCXSFDusWPQT+qxL/3ySqVl2rm1gp1Uq9Q1v4UJudUntoCx/WzWypZe/MvZjadarR40egiRWAxpNUPRk4/He0ExQqBeLy4zTPgpxruJV/C9kV2SioLoCKolccnc/lw9HcEY4SR1h1s9LU3eFpau8IecJ6MS51DSYKlM6wqjvBUqqVyKrKevQ8qOMmVveZULc4vFT5KEvqqM6jcHze8Sb1rqmtwc3cm7rn4Z38O8itzEVRTREomrNzIU8IJ4kTHM0dYSG00KtBpI2H1k78OByOxiWdw9EYmNAYmkq1EhQovTGoe9R9DmqvvSE3Oy0v9X4JP074sVGdKYrC9inbkXQwida11mXqpqkIejqI1ZhjDocDMxszmNmYwSFA/6YqyyjDkVeO0NK5prAGd3fcxd0ddyGQCDB953T4j28+UQNjRAC6mk68Kcgqz8K1nGu4mqOZHzwofYD8qnxU11bTlmVjZgNHc0fYm9vr6njVrU2quw/AaXBuoDWutK/15gb/FUbW/v9rnwna7IzaZ4FS/SixRvIryfCzYxYT+8QaTlw+F6D3XaBDKVUanAGNDZQyJe0dp7oILYSQOJvOrePXX3/F8eNNfyFpUavVup0m7Y6LTCbT7bRUVFTQLsL5OObm5nquev369UPfvn1hb29vlNymWLFiBX744Ydmz6MoqsFdt+rqat2OU0VFBS3/5oawtraGp6cnfH19ER4ejn79+qFPnz6wtHy0TCVXyjFk4xDcL6KX4rghJvhPQFS3KF2FeIlAAolQAhFP9CgDZZ3VHraTldRFpVbpJg11V5QIjWMqF6C26pbRkn20lzFYc3ENPjj1gd7kgglOEicsG7gM3jbesDGzgUQogUQggbnAXC/jmvZZwOfyTbrrq1ApDE4ysPTIUqy/uZ62kfQ4Xey7YGnfpfCw8oC1yFo3BmKBWLcLVve5aGz2uaagKEpnSBny3DW2LqGiWgG1Sg0e21V6G+uvUmFwGEVDWLpaQmipv4j+pD8PM8szEfZbGIpqioyW9VzP5zDMexicJE56zwJt4WPtc0B7L5gyHk2pVuri9GzFzBPIPLGuetnJ2Si6/KiGT3kmvRV2Do+DziM7w62PG+z97fVrGDlKaKfCVqvUqCms0dUwqs6vRmlqKfJu5iHlWIrB/r1aLN0t4R7uDu/h3giNDq2XJIBNVz1PT084OzvTasPhcBpMDtHUexKJBNbW1nrxPI8fDg4OsLGxafZLiG1XPT8/P9jY2NBqox2Dpq7/8c8sLS2bvH5LS0s4OzvrGUjNkVmeifOZ55FQlIDsimzkVuWiXF6Oclk5KuQVKJdrXtmEA46ea412S137u7aqvJAn1HvAPv6eiCeCpdASViIrvcNSpHlPm0mpoSLQOl3acCCtqWipx357mSiYkvY0BtWKalzJvoKrOVfxsOIhsiuzUSot1T0PtK9sZIKtC4/D0z0HHn8WCLgCvfv98ftf9ztXCIlQ0uDzQFsQ1c3SDXZiuybv+VJpKS4+vIibuTeRXZmNnMoclMpK9Z6H5bJy2rtwzdHQtWvfa/ba6/yuTRrV0BjYim3hbukOK5FVk2OQfycfqSdSkXYiDRlnMqCoMrxeEACI7cTwG+cHlx4usPK00s2NLFwsYGZjRvuZ+3gYQ11XvezL2bRkcQVc2Pvbw6O/BwImB8B/gn+LZaNtT88CiqKQWJyIC5kXkFKSguxKze7z488CJjtQTcEBp96coO6zwJB7oG4h5MbuBWcLZ7hauELA08wDSYxTEzQ2OHVrGJWmlurqF2lfpaVSKKWa1NNKWfMrcjwRr8EaRhwORz/4URsAaYhhxAHEtvVrGJk7mutq99h2toWNjw0E4qaNAjYNp3Xr1mHp0qWsyGop2DacDh8+jHHjxrEmr62hptSolGuKED5epLCx17pb6A296rmY/OdqI1VKdT7TFfIK5FbmolRWarT+rhauGNhpIAZ5DsK80HmwEz9KLkAMJ9PRniYKpqKjjYF2B6NcXl6vmHtjr409A+q+6txs1Aqdu1lNbY0uhqiopgg5lTlGGyxivhi9XHthUKdBmBIwBf09+zMag5raGlTIKzRjYMDzsKHr1rogP569V5epTinTix8pqC5AXlWe0TtilkJLhLuHY3CnwZjefTq6OXZr/FrVmtIheskh6syNqguqdbs+tTW1zcZDcbichudHTSSHUNc2v1vIFXDrzY3EdmJYuunXN7TysGq1sh0d7VkAaHZxtLF/htwH2v/1hp4BDbqf/tdWppTpYqjKZeXIrsw2uggyBxz42PpgUKdB6G3XG68OfZXEONFBbCuGuLcYbr2br4GhVqmbrN9TW9NEDSOV5rW6oFqvfk9ZRhmU0sYNMjMbMziHOMO2s62ufpH21crDCjxBy9YwInQMDiQewIHEA7rtc3OBOSTCRz9rixrW9c/XHuZi8waDL7UB24YaJFpf/ro++TW1NSiqKUJBdQGOphzF7zd+N+o6c6ty8W/qv6iQV2Cs31g9w4lAIGh2m14+/LLmGdDI80Abl1D3OSDiiyARSGBjZtPgs4BOkXhtAgm5Sq6X/rpMVoaC6gJdYXhjXIikSikuPryIKkUV3C3d9Qyn1NJUfHL2k0fX/tg4NPU8tBRZwo5r1+D103FH1I5B3Tglaa0UpbJSFFQX4G7BXaw6s0ovdokulYpKnMs8hypFFYKcgpo0nDhcDqw8rGDl8f/tnXd8VFXax393eslkZtJ7gQQINUAgoSkIKohIsYCLgGWLK+oqrqvu64q9rr6+a9fdVVhFbIAKrghREKT3Ij09pCfT+9zz/jHMzUxmkkxLI+ebz/3cOzf3njn3zLnnnOecp0Qj68qsTtN22p3cJHN7MR5B0O4YyWlz+sQ31FXpQNj2BQZlphIJwxJ84xtmqSBPkPfLybFweXv/2zhSe6TDsYHnO+DZLshF8nbbArdtYyC47Z49wwYZ7UbUG+tRb6zHqqOr8N250G3ACQhKWkpgtpuDCs/TbwWn9957D1KptMe+n6/kQzBWAP54PqL4UVDylYARIC0EjiYHnE1OOJodAOuKeSLgCyAQC2AlVmguamBsMOLiAVc0dYbPIDo12isgrDyx48bi6pFXozmtOSLPIrwgxNmNZ5FamAp5fNfYUjksDhz656Gw0lCkKpA3/1KQOQLcNOWmCOTMhfYXLUqEJUgdnwpxdHg64u1hqDXg1y+Di1Lelvhh8ciels19rjfWY1flrnZnhsLFbejpaQzu6Vkr3OCGYr6Ya8zddlUyoQxxsjgkyhORKE/EwJiBKEwtRG5srn/96SfDygKFclnAEhYHaw76nSm2OCxhr3Jwht8eAeL9edoLFR7D82oD3MfR4mgkyhORFJWEFEUKxiSPwdjksZCLfPsqs92MfdX72p0xj1QZeJZDJMtAwBNwA11PexKVRIWkqCQkyhORFp2GcanjMCpxFMQC777KbrfjvffeC+sZw4VhGPBT+BBkuNTUYwWxiCfxYLWsa3zU6HCNkXRO17U8PoQiISAETCYTHBcc0JZrOU+NAqmAi2voHh91VR99OVGhrcCOih0+74HFYQnbDhJA63vg0S5EcmwgFUh93gO5SI4EeQI3NhgSNwRFaUVIi06DXq+H8nZlQGn3W1W9y4GoqCgv+5aYmBikpaUhPT0dmZmZGDt2LPLy8sDn+65G/d+A/4OmVBPxPMXkxCCtKA2pRalIK0pD4sjEiKyGmZvNeDn25bDSyJqWhWU/LgMAsA4WzwifCTtfPjBAwrAE7vnTJ6QjbkhcRGJGVO2pwr8m/CusNMb8fgzmvDcnoGu5QIhWCwwtBhi0BhhaDDDqjDBqjTDqjDDrzbAYLLDZbC6HF06Ha2NdTi+Ik8DpdIJlWVfgQ/feyXJuRHk8nsuOi8eHgN9q09X2nFAghFQuhTJaCbVajWhVNKJULp15sVIMiVICoTzw2W03XeKKupcTrLoHIYRzUmPRWGDRWmDRWLw+W3VWsHYWrKPjjThJ62cnC56A17rxW48ZAeP3f3wxHxJl628uVopdHrc8jkNxeezvmQ02A+qMddBYNO264HYfWxwWH1fTbV3xtj0GWlVF3e533Xt/LqjdAdMFTOeu+d3G1kKeEDHSGCwcvjCssnCr0Rh1Rlc7oDG62gStgWsLzHozrCarVxvgbhNYJ+sKdnrp/Xc6XWXAOlkwxDUA5vMvtQn8S4HiPd7/tm2DWCKGMtpl86pWq6FQKTjPaxKlBOJocdC2xgGVgcMGvUYPg8a7PTToDDDrLrWHFpc6kufze7aDhL3ULnq0iQwuBURnBF7tH2fjyhd4fxYIIJFKEK2IhkqlglKlRLQ62qs9FEeLg+p7TCZTr4wPFiw8Hs9rbKRUKrn4hmlpacjJyUFhYSFSUjrXMHJjd9pRb6xHo6nRy+22P7fcRrsRDtbRrtttfy7q3fgN09EmNIe7TXAHDA42TMesnFlIV6aHXL4sYWF32mEymaBv0XNtgXtc4Dk2cNgdre8A6+T23NigzbiAsIR799uOAdztgmebIOALwBfwEaWIgjJaCZVKBZVaBalKColSwr0PAknHq77UHXk3cuedd+LllwMb0BNCvLypuT3K6XQ6zqtcXV0dfv31V2zZsqVTGySDwQCDwYCLFy+2e41CoUBhYSEeeeQRzJgxI6hnC4Xm881oPt+MYx8fA+Ca7UkpSEFaURrSJqQhrSgNiuQIByDoTRCg/kQ96k/U4/A/DwMAxNFipBamcs+fVpgGaUzPrXb6w6KxoGpPFar3VaOlpAXaci20FVoYag0BeyyKTo9GdEo0ZHEy1xYv4waxbh12bi/guQYPdmdrQOhLx1a9FaZGE8yNZhgbXDr0DSUNAem5M3wG0hgplBlKbpYxKT8J6ZPSoR6g9ttw9ncPStx3EQJthRaVuypRe7jWpSZTroG2QgtzkzkgT6I8IQ/qbDXkiXKuHsgT5K5BrGcduBTwkuExYB1saz3wqA/mFjPMjWboG/UwNhhhqDEE7MSHL+YjKjEKygyla6Y5W4XU8alIn5gOWazM53qb04Y9VXs4V9wHaw6iUlvp5c46UBQiBVKjUxEvi4dKompV6xK5XHF7DoI8Z1sBeK0+tOeG2uqwQu/Uc7YxbV3wutVaPF1yZygzAhacWAeL+hP1qNxViYZTDa62oFwLXZUOFo2lQ5UpNyKFCOpsNWTxMq4eSOOlEMlFvm2B0PX8nnXAbdfisDhganK1BaZGE4wNRmgqNDA3Bfa7iKJEUKQquHoQOygW6RPSkVKQ0mGAeIfVgZpDNajaXYWms03QVlwqg2odrDprQHGDpDFSKDOVkMe73gVpnBSyBBkX/LVtORBCvN+BS3ub0QZzkxmmOhNMjSaYGkxoKm2CTR+YRoBYKUZ0WjRUmSpEZ0QjPi8e6ZPSkTQqKaKCpT+++uorXHnllQFd29bjrt3uGpi7vc22tLSguroaBw4cwNatW6HTte+wiGVZaDQaaDSaDr8zLS0N06dPxzPPPIP09FZB4nzzeeyp2uMK1VFzAGcaz6DJHHw8RR7DQ3p0uitMh8wVpkPMF3N7AU/AtQWeq5CAqy1wu+L23NqG6DA5XbEU27rkd68SudsBz3Adm36zKWDBSV+jR9XuKlw8cNGrTzDWGwOyzWd4DFRZKqiT1Ny4QBYng1gp5voBz3eBJ+C5JtXa9AdOuxNWrRXGBiPXHhhqDagrqwuoTeIJeZDHy1v7hCwVUgpSkD4pPegxKRWcwkQqlUbUzbXBYMCpU6eQkJCAZ599Nuz09Ho9tm7dipycnIgKTmKlGIv/u9g12N5TjcrdldBV+jZkDrMDFTsqULGjgjunzFC2ChFFaUganRSRGeLuJnFUIq7932tRtacKVburULWnCqYGk891Vp0VJVtKULKlhDsXOziWe/60CWlIGJbQ5Z1YWwhLsP+d/TjwzgE0nGwIKY1hC4dh5G0jkTU1C6KoCEco9YB1sKg7VocTa0/g8L8Ow9zsf+BEnASmBtfgouZgjdf/5Ily5C3Iw1XPXQWpuncJrj2JucWMn/72E06vPw39RX3Q94uVYoy+azRG3DoCiaMis8LcHjajDeU/l+P4x8dxfM3xdq9zWp2uwW6FFtjp/b+4IXEouKcA45eP52bjvz3zLf646Y9oMIX2HriRCWVYPm45stXZiJHGeKmOebrd9VwNautZMtL2GO6Vks6oO1aH4r8Wh+RFDXCV65jfjUHegjwoM5VdaldiqDPg7Ldncfhfh1G1p/0g6TaDDU1nmtB0xnvQyxfxkVqYiquevQqZV2Ry50t/KsW2ldtQvbc6pJAjqYWpGPPbMRg0Z1DE4zx64p7kOLXuFA59cAiNp9q3+bJqrWjQNvi08UK5EFlTszDjpRlIGJbQJflUKpURGx+5YzyOGjUKFoslIvENq6qq8OWXX+KGG27gBCeT3YRFXy7CoZpDYatmzsqZhenZ05EYldhumA7PtqCtXVww9kCB4rm61R52sx07ntuB42uOh6SZxBfzkX97Pkb8ZgRSC1O7dHznsDhQtbcKx9ccx9GPjrb73rJ2FvqLeugv6n3aDFW2CjkLA4/p1PdGq72M7777DvPnzw/o2rbxexwOB6xWKzejotVqYTSG59qRz+cjNTWVU9UrLCxEUVERsrKywkq3LQyPQfqEdKRPaJ210FXrUL3XJURV76nGxQMX/XogdA9oTn520pVnER/JY5K91Nui0zt2l9obEIgFyJ6WzdkMEUKgKdWgcnclJ1DWHqn162XI3ZkfXXUUgKsTSx2XitSiVKRPSEdaURrkCV2rMmHVWbH71d0hq2yKlWJc+cSViB8aH9mM+YEn4CF5TDKi06NRf6Ie5/97Pug0jHVGnPj0BIbdMgxZU7Min8k+Ss2hGhz+9+EOndN0ROq4VEx5bApkcb4rOZFGJBchd1YuVJkqXPjhAkyNvhMVndF4uhH739qP/NvzuZg1Nw69EQvyFuBc8znsqdqDCm0FqnXVaDI3+bjf1Vq1MNn9f6/JbsKLv7wY1jPyGB43cPIcXHXmglcmlLXrelcpUSI5KhkpihQoJf5V1U9+fhLnNp0LOd/Dbx2O8feOj2jg0/aISoxC/h354Iv5HQpO7eG0OVGxowLHPj7mJTgdfPeg1yRfsIxbPg4jfjOiy722MQwDVaYK4/44Dja9DdtWbgs6DbvRjgubLyB9UnqXCU7BxjdsG+PRM76hRqOB3R6eG3x3jEe3qp578zTfkAllOPD7A9BYNNhduRtnms6gSleFWkOt37ZAZ9W1a4+z6dwmbDq3Kaw8dxamw1/YDolAAoVI0W57EC+PR4oiBYnyRL+xvVoutODAOwfanaDsjNhBsbji8SsQndaxylskEEgEyLoyC8oMJSp2VHQ4idAemlINNxYLBGrjFCaxsbFIS0sL6h6GYTqNX+T5Pz6fD5lM1mH8HreNU1JSkl+bpraEa+MkUUvwSPMjHV7jtDtRd7TOtSJzaWu5EJhr6ajkKC/1PnW2Gv+b/r8h5xeIvI1T6vhU/Hbvbzu8xm6yu1Q+Lq1KVe6uhKEmMBeaqmwV0iekcwKlw+zAR1d+FFae29o42c12XPjhAip3VbqW4/f7F3Y7IqUgBZlTMxE3JA5RSVGcaoosTgaRQhSUAEwIgd1kd6mkXFJLMdYb0XSuCTUHalCytaRTd7ee8MV8xObGIml0EnJm5SBvfl6HKjqRpC+p6ukv6r3qQf3J+oDUkdzwBDzkzMxByrgUxOTEQBYv86oHwZY5YQksWotXPXDHbinfVo7aI7VBpSdRSRA/NB7JY5Mx7JZhSJ+UHtbEjIN1wGw3B+V+161a488Vr6eajVvVxuRodcXdbG5Gpa4S9cb6kPPsJlOZickZkzErZxYWj1zs9b/aI7Uo/anU1VbtqoS+OrgVSGmMFINvGIyEEQlQZipb1TXj5ZDGSIOPb+hgYWoyedUDbYUWDb824NymczDUBueOWJGiQOKoRKRNSMPI20ZCne0dBJMQgoqdFajYWYGqXa72OlC1QDfRadHIvT4X8UPjoUxXeqkuS9XSoO1dnTZn6/O71RVLNag/Xo+zm87CqrUGnBbDY6DMcKkvZ0zJwIjFI7xWxiJt4zRgwICgYgoC4Gxeg4nzGGh8Q7Xav7p2OBBCYHaYAw7T0VFb0J5beneYDoPNAL1Njxp9DSq0FWHHU5MJZShKK8Lk9Mm4Z9w9SIxqjcdpbjbj/ObzXJ9Qe6QWxBlEp8AA2dOykTYhDbGDYr3Ut2VxMojkwWmoEEJg09tgbDBy74Kh1oCmM02o3FWJyl8qg0pPFCVCXF4ckkYnIW9+HuIK46COUdM4Tv6ItOC0fPnygGZUehvdITj5w1hvRNXeKk6QqN5XDbux85ef4TEB6bF2RE8ITm0hhEBXpfNS76s5WBOQWkgkyqAz5xCEJTDUumxJNOUaGGoNLgcAWpcjAM9jbq+xtC9sMfDRYXbbOLFO1semwWl3djpgV6QoIFFLvAw/3XtFsgLR6dEuPeYM16Clp1Yu+5Lg1BaH1QFdlY6z7TA1mXzrgdsphMf59oRahu9y9OCjz87n+do32TuP28IT8lz1wMMZAFcX1BKXl9FLdSA6PZpbWeqI29bdBjtr93VDfenYnwtqtwvetmp3nmo3be2ZPNVv2tovsIR1DZQ8bBL0Vj3qjfWoMdTgrf1v4Xxz8Kutnoj5YoxJHoO5g+fiL5P+0uH7YdVZOQ0BbaUWlhZLx22B1gKb3tZuO8UT8HzsGfhCPsDAr01DZwM1cbQY8gS5TzsgUUk4W0dlhhLKdCUUqYqgVYYIIbBoLJxth75a71Xv22sPbUZbu+2YZxvoWRYg8PsudFYG7liO/tpDWZzMZdt0qU1UJCs6FF4jLTht3boV06dPj1h63cUnxz7ButPrXG2AwNsNt1wo92oD2rYLbpXctm2B2xV3W3smd9vgry3oKEzHtrJt+OT4J2E/6wD1ABSmFuKlGS91aPfEOljoqlv7BGODsbXea/y3BVattd2xDcNj/LYFbhsnfzaPHcHwGf99gsrlKIWzdUx3tQlipdir7aPOISi9FnmCHIPnDMbgOYMBuGJiNZxs4NT7qvZUofG071JruAJDb4FhGNeLm67EsJuHAXANUmuP1HrZi2nLfY3gu6MMGJ6r8VGkKJBWFPhKKiGtccp8PKk52/Gs5mThtDqhv6iHrloHfbUe+urWY12Vzq+thbHBCJ6Ax3nRkyfKEZ0aDUWqwhVvJDUaihRFt60sXY4IxALEDIxBzMDg4l0RQrjftkNvep7nCYFVZ/X67b2OL+p9Ol/WzsLUaHI5HonlQawUIyolyqceyBPlAatNuT3oteeO2z0zHG4A1kgjEUj8uuF2q+4lyhORGOVyx52flI+RiSMh4gc22yuOFiNheAIShgenysV5z2vvd/dXP1gCU6Op3XpgqDP4CCNWnRU8IQ9CmRACscAV8DRV0VoPUl3xhyRqSUgTKAzDuGI8qqVIyk8KuQw6fQ88yspQZ2i3DPyppppbzOAJeRDJRRBIBJDFyfyWAXXBHTh21o46Q53fFSOLw+IVxLU30dYdvU+YDmmcyy19VCIGqgdifOp4xMsDU7XnCXiuGFmZKmBK4Hlyjw0CfQdYu6tPsBvtrrFBlc7vu9B2stZt38wX8SFVSyFSiBCVHOXzLkQlR4Vth9tvRxbXT7geQoEw7HSSLck4/fVppBWldakx6JGPjsBhDd13vkguwsjbRnKfh986PCT7ADdCWfhlBwA8Pg+JIxORODIRBX8oAODqCNy2UsGqYnRE3OC41g+Ma/UlHFRZqvAydAmBWIC0Qpe3PfzJdU5fo0f1XpcgaW4JTc/YH5lTWvX5W0pb8NWtX0UsbR6fh9jBsUjKT0LS6CQkjUoK23ugVWd1ebK6pI5SubuS81Zo0bhcYrfn2MLtva2takzh/YUY8ZsRYeXrcuKTTz7BG2+80aN54FzSX9p4PB74UXzwh/LBH86H2CmG2CaGAC739UKhEFKpFHqpHi2yFshkMkgZKWQaGaRWKaQ1Ush/lSMuIQ7peelQpak6VRPbsGhDu/8jLIHNYHOpD7aYYNQYXW54tS43vGadGSadCWajGU6Hs9UN9SWX3E7WyQ0OnKzTyyU354qb5+2CmnO16/GZL3Adi8QiTg1JppJ5uaD2PA5m8uCee+7BoUPhxcoLF6/f310f4vngJ7ncLkvsEojtYpc7Zj4fYrHYVQ9kejRLmyGVSiFzyCCtl0JmkEFWIUOUIgqJqYlIG5rW6Qr0nDlz0NAQnoOQcPEKx+DeUvjgp/MhgABimxgiu8gV31EggFgshkwmg06qg0wqg1QmhdQqhaxWBqlWClmZDAqFAilZKUgenAyJqn0hkiEM5k8JzGY7EFp2tqBcVI6UsSkRGzO0RV+jx5lvzoSVRsLwBGRMygAAnD17Fu/e/S4AgA8+ZJf+/EFAAAYgDAHLY0EYAsIjIIxLwidM6//dGxjf+7nPDAFDGPDgWokS8AStbYN7c4ck4Ak49/0igQhKqRLKKCWioqIQJYyCQqxwHXts8fHxSE5OhkQi6bA8iouL8T//8z9hlGj4uE1avDYpH/zBfPDz+BCxIohtYgiJkHsXpFIpDDIDNFKNqy3gX3oH7DLI6mWQnZEhJjYG6UPSEZMZE7I9Zr8VnIbvHg4JOq48geDY4cBn//oMgGsg7eUtLj8pYoayPzz0Q8iGeoBL79pTcJrxfAQ87L3ueyoSmp9StRQ5M3OQMzNwLyfBwuPzcMP7N4Sf0F99T0WiDBTJCgyZNwRD5g0JO632cFgcqN5bHdE0K3d56xmrB6qRPDoZifmJSB6djKTRSYhKigp49lccLUZ8dOuMWNO5JjT8Gt7ARl/TarfBEhb1xnpUaCvQZAre3SzgauAT5AnIVGYiRhrTJaqBhBA0mZtQrikPy84lVhaLDGUGEuQJnNvbmpoa7N27NyL5jImJwT333BPQtW6DcKfT6eWC2Gg0Qq/XQ6fToa6uDqWlpUFFdW8LwzBISEjAiBEjUFRUhKKiIhQWFiIuLs7nWofF5Ya6clcl6o/XcyqruipdQO7wAZcqqXqAGvIEucsFtVunP0rkV22V4TF+VbScVifMzeZW+5ZaE3TVOjSfaw7Y45tEJYEy06Waoh6oRlpRGjImZfg12j516lTE6sH48eNxzTXXBHStO0yHZz2w2WzQ6/VcPaipqUFZWRms1sDtedoiEomQmpqKsWPHcvVg7NixXoPIQ4cOdRjeIxhmzZqFsWPHBnStZ6gSdzlYLBavMqiqqkJFRQUcjtAnUKVSKTIyMjBu3DiuDEaNGgWBwDUUFDACjNoxKuT023Jyx0mcfPIkGD6DpFFJXuMj9cDI2Bs1n2vGprvDc8Aw/r7xnOBkMpki9h4AwH333ReweYinAzH33mQycfVAo9GgvLwcNTU1nSfWASqVCrm5uVwdKCoqwoABA7j/Nzc3R6wMeDwe/vpXPwMlP7TtE5xOp1efoNfrUV9fj7KyMjQ2Bu8EwpPY2FgMHTqUe/5hw4YFfG+vEJzeeustvPLKK6itrcWoUaPwxhtvYPz48X6v/eCDD7B69WqcOHECADB27Fg8//zz7V7fnWjKNNCUaXDiU1fe+GI+UsameHlK6w4vIxRKd5FSkIL0yemoPVyL2iO1PobKLRda0HKhBb9++St3Tp4gd61IjU5CUn4SkkcnIyYnJiJBgoOFx/CQFJWEpKgk6K16VOoqUaGt4LZybTl3XKWr6tStc5QoCpnKTGSqMvHHgj9yx+59UlQSJ7B4whIWNfoalGvLUa4pR7m2HGWaMsz6ZBb3uT1Pbm4EPAHSotOQocxAhjIDmcpM7ti9RYm6blUcAOLi4vDMM5ENLM2yLH744QfMnz8fFosl6PsJIairq0NdXR22bt0KAEhOTkZpaSnEYpf6UuOZRmx+YDNKfywNyQ11TE4Mxt8/HsNuGdalmgeAy9agbHsZjvz7SIcu2YHWVdm6o3UAgL1wDYaUmUpM+Z8pGPu7wAb2wTJp0qSI1wOz2YznnnsOzz33XEj322w2lJaWorS0FF9++SUAYMmSJVi9enUks8lxww034O67745omjqdDvfccw8++SQ02xaz2YwzZ87gzJkz+PjjjwEAzzzzDB5//PFIZtMH4iSoOVSDmkM12P/WfgCALE6GtKI0zvlR6vjUgGwR+xoPP/ywV4yocCGEoKSkBLNmzcK5c6F5wdRoNNi/fz/279/PaRscPHgQY8aEp4XjD6FQGPG2gBCCAwcOYNasWWhqCm3Cs6mpCTt27MCOHTsAgOsLAqHHBafPPvsMK1aswLvvvovCwkK8/vrruPbaa3HmzBkkJPjqVW/btg233norJk6cCIlEgpdeegnXXHMNTp48idTU1G7L9+L/LkbT2SbOW5w/RwtOq9Pl7WNXJfZgDwBAkarw8haXPCYZQmnXLGFTKF1N3JA4zPzfmQAuuWMv03BCVO3hWtQcrvHxzGWsN+LC5gu4sPkCd04oFyJpVKswlTQ6CQnDErrVTkkhVmBo/FAMjR/q9/9O1okaQ423YKUpR4Wu9bPGosHJhpM42XDSbxoivgjp0enIVGUiUZ6IWkMtyrXlqNRWdqovr5KoOhSKkqOS/bqW7U7q6+vx0EMPBXStv5UGh8MBg8HAzbI3NjaivLwcNlvwcYXcSCQSJCcnY+TIkdzsYkFBgVdHWXOoBmXbykISmgDXBEJ3CE2Ay9Yg84pM2I12HP/0eFDeD91oK7Q4/9/zGPPbMV2yQrp9+/aA60HbGeb2Vpyqq6vDWs1XqVRITU1FQUEBJkyYEPQsc7B8+eWXAQ9s2640tLfiVFdXF1ae4uLikJ6ejvHjx3NlkJubG1aabUkpSMG0Z6dxzo+q9lT59fxnajTh7MazOLvxrOsE41KZ8xwfxQ2O65EJtUjy9NNPd+psAPBebfGsB56rLRqNBmVlZdDrg4+354bP5yMpKQk5OTlcHSgqKkJiYmLnN4eA3W4PuU9wl4W7T9Dr9WhubkZZWRnM5tA1sEQiEZKSkrxWnPLy8pCZmdn5zegFgtNrr72G3/3ud7jjjjsAAO+++y42bdqEf//733j00Ud9rm870/LPf/4TX331FYqLi7F06dJuyTPgahxyZuag8P5CAICh1uDlLe7i/ouwm3wHQvpqPU59dQqnvjoFwGWHkZSf5BUMVZWl6vUxjCiUtjAMA3W2GupsNfIW5HHnjQ1GTpBy7xvPNHoN+OxGOzfJ4IYn4CEuL85L1S8Y17uRhs/jIy06DWnRaZiYPtHvNTqrjhOifrjwA/5v7/95/d/mtOFCywVcaLng935P7ht/H2bmzOQEo2hx71+ttlqtOHz4cND3tdVll0gkkMvlSEtLw9ixY33+LxQKoVC06vB7HnueS0pKQnR05zHhRtw6AtnTslH+czlXD+uP1wfsmv/E2hM4+cVJZE/LRtLoJKgHqL1c70pjpRDKhF4epPzlycvTZBtVPWODEfpqPRpPNaKkuMRvsO32EEgFUGYokTgiESnjUjBs4TCXkXcXUV9fH3Q98LRpcNs4KRQKqFQqZGdn+7X9kUqlPr972zqhVCqRlJQEqbR7g15XVlaCZQMPnQD4t+tQqVSIjY1FTk6Or/3XpVAl/uq/Zzmo1WokJiZCJOq6IOVuBFIBcq7NQc61LlV7whI0nmlsDUuyuwr1J/yEOyBA/fF61B+vx6EPXLZ2YqXYZf97SZBKLUztc8HLT5482alNUVva/sZCoRDx8fHcYL9tHREIBO3W/7Y2TnFxceDxujbOmCeEkJD6hLZl4LblS0lJwahRo/z2CZ21BVFRUe26pdfpdAHnrUcFJ5vNhoMHD+Kxxx7jzvF4PMyYMQO7d+8OKA2TyQS73Y6YGP/en6xWq5dedDCFEwxRSVEYMncIhsx12aSwDhb1J+q9vMU1nfVdUmTtLC7uv4iL+y9i3xv7ALhUmdxL2OkT0pFSkNIleaZQugN5vBwDrx6IgVcP5M7ZjDbUH69HzeEaTqBqO1BlHSzXkaJrtGkiTrQ4GsMThmN4wnDwGJ6P4BQMM3Nm4rrc6yKYu64nPT0dP/74Y09nIySikqIw7JZhGHaLaxWCEJeXN225yx23ucXs44a9rfvd2qO1uHjwoo8HKX8eMd3uqBkeE7Arfk+EMiFiB8VCFifzckMtUUkgUUugTFdybqilMdJunYy7+eab8dprr3Xb9/VGHnzwwYir6vVFGB6D+Lx4xOfFY/QdowEAVr0VF/df9Bof+XNWZdVaceGHC7jwQ+tEU9yQOK/xEesMTjjtbj777LOIqur1NUQiUZ/tE9qjRwWnxsZGOJ1OnyXCxMREnD59OqA0HnnkEaSkpGDGDP/ODl544QU89dRTYec1WHgC10pSUn4Sxv1xHADA1GTiPKVV7a5C1d4q2PR+3C3XG3HmmzOcp5hIxO+hUHoTIrmIW2V1wzpYNJ5uRO0Rl4pf3ZE61ByugaUleLuWUCGEQGfVQWvVQmPRQG/Vw+KwcJvbHa3FYeHcVFudVrDE5ULVMwaHxqLBVVlXgbj/SOveDeN2qcS0HjOuD1h3ah2KS4q9Yn7wGb5rf8m7kucx52mJ4XPemAQ8AeYNmQeVRNVtZXi5wDAM5PFyyOPlYU9euV1T+7jhdba637W0WFpd8Xu45Hd/bhuI1W6yo/ZoLaISozgX7HwxH9IYKURRIghlQgilQpdnSarBQOlFiBViZF+VjeyrsgG42t2WCy2tq1J72g+42ni6EY2nG3HkoyMAEHRQZQolXHpcVS8cXnzxRaxduxbbtm1rdyn0sccew4oVK7jPOp2ux6R/WawMudflIvc6l04x63QNFD11gRt+bfCZdexLQlNv76C7I95zXykD9QA13kB4bqitH1th+NjXZXwo5cwT8LiYMW4PkIQQ6Kv1ftVeQ0UW1+pattncjBd2vIBzzedcKnTNF2B2hKY7PS1rGiakTUCKIgUKsQIivggzBszgAqHyGdcAlgHjs28rWBG4hDAn64STOL32DtbBbXb2UhT6S9HmjTYjF23evV0z8JoOBaexwrF4PDMyxuF8Gx/v5r+LxJGJrW7p85Mirl7z/QPf49x3oRlGu1n838VcnKrHH38cn3/+eSSyFjJtVVO4Te5yvytkhJA6pOCB56W64t7kcjnkcjlkDhlkDTLIjDJEXXSp56QOSEVyTnKHMa1+o/4NJmdOjsizSDdI8e99//aqAwnDE4IOQNsZ741+zxVsNkSU6UosLW5V8b8/+X4YhJEJgaF9RYtVn69C0miXA5yk/CTEDYmL6EDfWG/Evyf/O6w0MqZkYO6/5kYoR6HBMAxicmIQkxPDtf12kx0XD15snWjeXeU3PEl7QbdDJRaxEWsPAWD91euRmJfo5Vk2Oq1z9eFgOPn5Sfz4eHirOlf87QqMWuLyqJjDy4loGbwz4h3ED4v3cgglT4hcoGUA+OWVXzgVz1AwOwPv93tUcIqLiwOfz/cxeKyrq0NSUsfB5v7+97/jxRdfxNatWzFy5Mh2rxOLxX69ZYxcPBIykX/f/IHAF4dvhM3j85AwLAEJwxIw5rcubyYWrQXV+6rbdTgRKhJ1+K7XKZcXArEATQjNI013wTBMl3qiVEvU+N3Y3+FUwymcbjyNWkMtmsxN0Fq1MNlNPpvRZuSCobb1sPdT2U/4qewnCHlCiAViiPliiAViLoq8e/NcIWq7UuR5zvM+t/Dlde7SsYgvgkQggUwog0qiglQghUwog1To2tfoa2B1WJEUlQSp0FeAEdvFEJRHriuoQx3qjtbh2H+OceeUmUpu0OAeTIczeDDUGtB8rjmsfHq6F6+vrw/ZQ1Vbhg4dit/+9rcBXevPGNpms3kZQ7tdsldVVYU18SOTyZCfn88ZQ0+ZMsWrnxW1iCJWD+ywo7K0EpW/eNssxg+NbxWmLsV6k6hC75uazzf7DZIdKG1XNIQ1QgguRqYMLLCgrKQMZT+VcecEEgESRiRwZZA8OhkJIxIgkodme8Q62bDfA/UANXfM8Bnk35EfVnqxg2LDut+NUCZE5pRMLvYgIQS6Sh03yWzRRE4TIbWw1bGYEMKItoctaEHLmRac3tCqRSWNlXpNKiSPTkbsoNiQhWqrzhp2PfAsTxEbubYAAOpRj/oT9Tj5WavTJEWKwqsMkkYnQZ2tDtkZiKnRFFYZWBB4fepRwUkkEmHs2LEoLi7GvHnzALi8yxQXF+Pee+9t976XX34Zzz33HDZv3oyCgoKQvvs3n/wmpPs4PvR/OtwVDYlS4mMP0hVEeuWlq1ZZunKFiJYBhWEYSAQS5MTkYFjCME7Y8dy397sSQuAkTtiddm71xx1N3r0K5LlK1PbYc+WIW0G6tHLkVgc0O8xoMjVha+lWHLh4ILxnBYNMVSZGJIzAR/M+QozUv11oKIz5/RiIo8Uue7XDtT4x57TlWmjLtZ0PHgbHdrgq0hcYMGAAHnzwwYilRwhBS0sLvvjii7BsZkwmE3bt2oVdu3YBACZPnoyff/45ou3WNa9eg8Yzjag97N9mse5YHeqO1eHo6qPceVW2ykuQSMpPgiJV0etX7v0hVoox9cmpnN1mw68NXisiDouDs2l2w/AYxA6K9RYo85Mgj4/sjHwgCMQCzPtwXvgJPeZ7Ktx+jGEYKDNcMcncdoi9lcwrMpE9PZurB5oyjdf/zU1mlBaXorS4lDsnkAqQOCLRS5BIHJHYZYGDu5qhNw1FzKAYrk9ou1qov6iH/qLeS3NAHC1G4qhErz4hfmh8xOKhRooeV9VbsWIFli1bhoKCAowfPx6vv/46jEYj52Vv6dKlSE1NxQsvvAAAeOmll/DEE09gzZo1yMrKQm1tLQBwHjMoFAolGD48/CE2nNnACT2ewo+DdXAqdTyG57W5V3zaWzHiMTwwYDgbJU/VPJawnDqe2zbKLYS5VeysTiu0Fi10Vh2cxNtNtoAngEQg8RH0PM8pxUqoJCooxUqkRqciNyYXg2IHYWDMQMiEoa+2+yN7WjaGLxoO4NLMcJWOc0fvtlXTlnsHsb1cBw9Hjhzh+q/OIIR4uR52BwF2rza5Az6GEwDY7Xo3JSUFo0ePRlFRESZMmICcnJyICydjfjeGi8XDOlhOiOrIZlFTqoGmVIPT61uFalmczEeQiB3U+4VqgUSAogeKuM8OiwP1J+tbvYoerkXt0VrYja2qx4QlnN3OibUnuPOKVIVP8HDqcbdvoM5R48onruQ+m1vMrjrgUQ8aTjV4rXg6zA5U76tG9b7WoPQMj0Hs4Fif1XpZbGTb764guSAZkx9pVf011Bp87JfbrhBZdVZU7KhAxY4K7hxP6NLM8mwLkkYlQRzdczG/elxwWrhwIRoaGvDEE0+gtrYW+fn5+P777zmHERUVFV6uE9955x3YbDbcdNNNXumsXLkSTz75ZHdmnUKhXAasnLoSK6euBOAayJqbzDA2GGFqcLmAtuqssBvtsJvssBltsJvssBqtrs1shdVkhc1sg9PhdMXhcNsksU4IxALwJXwQhoBhGG4PBq6NADyWBxCAIQzAuvaslYXT4nQJaTweZ//C4/EgkUoglotdxv8yIYRy114kF3HnxDIxZPEyl3ODBDlk8bJuG3AxDANluhLKdCUG3zCYO29uNqP2qMcA8kjog4dw1LO6GofDEVKcFU837LGxsf7tnTzcUYvFYh+Xw20/R0dH+3W92x3wBK2q6J42i9oKrbcgcaQW2gpvwdDUaELJ1hKUbC3hzgllQiSO9LAVyU/q9fa/AokAKWNTkDK21bkIYQmazze7PIp6lIOx3uh1r75aD321vjXOEVwrWm6nU0mjk6BIUXTbs1BCR6qWIntaNrKnZXPnHBYH6k/Ue9WDuqN1Xva8hCVoPNWIxlONXsGuo9OivQQJfU3ocZ26i6ikKOTMzEHOzBzunFVvRd2xOq/JlfoT9V7x9Fg7ywmdnppe6oFqrz6hrZZDV9LjghMA3Hvvve2q5m3bts3rc1lZWddniEKh9AtYB4vja46j5nAN6o/Vo+5YnV+3uO3BF/GROzsXedPzEDckDooUhcs1dLQYYoU4LENw1sHCqrfCprfBorFAf1GPxjONqNhRgXObzgUcYwhw2TgmjkxE4qhEJI9JxsjFI7vdG5U0xnfwYDfb0XCywcstfaCDh95KQUEBvvzyy57ORq+EYRioMlVQZaq40B2Ay+Ns2xn5xtONXoKR3WTn7Fv6Mm7VvNhBsRi+sHWV1lBr8Fmda7nQ4nWvVWtF+fZylG8v74msUyKIQCJASkGKl8dO1smi+XyzTz1oG7NNV6WDrkqHs9+ebZtsn0KsECNjUgYyJmVw55w2JxpONfhMrlh13jEcWy60oOVCC3798tfuznbvEJwoFMrlRW9WJ/HUtbfqrKjYWeGyyTgReMBTN9IYKTKmZCDryizEDo4N2cjbHzwBD1K1FFK1FMoMJVTZKkhjpSBOgqo9VdBXBz7LaGmxoHx7uUsoJEDudbk9YkPRFqFU6H/wcK6ZU+twd57BCLSUvoUsVoYB0wdgwPQB3Dm72d4a6809I3+sDg5zcO9oX4BhGCiSFVAkKzivu4DLWZR7Rp6Ld3ey3suxCeXygcfnIW5wHOIGx3mpPusv6n0EiZaSlk5S65vwRXwkjXKp42GZ6xwhBJpSjc8qrf5iz6y0MaSfWZ7rdDoolcouS7+fFScHdYxAy6ArhaXuKAPWyaLlQgsaTjVwanqmBpNLVc9kb92Mdq/PbvU91s5CpBBBopRApBC5Vp2ixRBKheAJeGD4DHh8HnfM8Bkurg8X38fpiu9jN9lh1Vlh1bWuOHHqaYzLBsQdq4dT0ZO7jiUxEsjiZF5bdGo0VFkqiKJ8BTu7yQ6VXBVW2VlhhRNOn/OR+t3ccY4iqZolUUm4Vbe+XncjgYSRgI/wjLDNMIP4ieIbqTJgHWxEvakxPAbSmFZPkzJG1hpbLQQICMzwVRmKZB1w2pw+s+/hwBPyIFG2ejbs7/1YJOoYX8znbP26qjxFEKGlIXLCk1DuivsGAA6rA0pJeONk+6W/tkSyHli0lohNIuj0OiQPSIZWq0V0dMeefKng1I/oyp+6vze2AC2Dvjj41Gq1EVf/JSxp3ZwEIC63x4S4PhOWAOyl6wgBsRM49A44dA7YdDZub9PYYNfaYdVYYdVYwdpYLlAuX8SHLFbGbdIYqWuLlXLHnuc7U8ujdbfv1d1IQ8uAvgdA79YW6Eq66jfqq+9Vf3sX3LJBIIITVdWj9GrWnVrnFbNGyBdCyBNysWvablKhFALe5VWt151a5/P8Ap6A86LmUwYCKfi83uW+s7eybds2LhRCJJgzZ07A17pj+LAs63Iq4XTCarXCbDbDbDbDYDCgvr4eVmv7s8s8Hg9SqRQSiQQSicTrWKlUQq1WQ61WIy0tDYMGDcKgQYOQm5sLhYIalVMoFAqFEiz9dsUpEKkyUC43ydzJOlGpq8SF5gu4qL+IOmMd6gx1rr2xDhqLhgsGygUGtRvBkt6hdy0RSCAXyhElikKUKAovzXgJswfNDioNu9OOMk0ZLrRcQI2+BnXGOtQb67my0Fl1MNqNXoFRTXaTXzWVnkAqkHLPHyWKwscLPsbIxPYDRUeCvjiz9vXXX0dMcGIYBiwb+DtACOGEJrfgZLFYYDabYbFYYDAYUFdXh2PHjuGZZ56BTqcLO48pKSkYNmwY1q5di5iY1jhOl1sbFix9se5GGloG9D3oCvp7mfbV96q//W50xYkSMIQQnKg/geLSYmwr24bTjadR0lICO+urm9oZKokKg2IHITkqGXGyOMTJ4hArjeWOo8XR3IpJe3uGccW4YQkLJ+sES1g4WIdXbBub0warw8oJbEabkdvrbXpoLVpora5NY9F0Ksw4WAcOXjyI4tJi7KjYgbNNZ1GuKfeJnRMICfIE5MbkIjEqEXHSS2Ugay2DKFFUh88v4Am4MnA/v7sMPJ/dHSTVXQZu4c1oN0Jn1XFloLFooLWGHgOGEjiEEGRmZgZ8rbsDcbsbb2/j8/kYOHCg1znPlaW2K03uTaVSea045eTk0Fh3FAqFQqGEARWc+inN5mY8tvUxfH3ma9QZ60JOZ1L6JCwesRhzh8xFclRyn9KPLteU4y9b/4LN5zeHLFzwGT6uHng1Fo9YjFk5sxAri41wLil9BYZhUF5O3QRTKBQKhXK5QgWnfsrctXOxs2JnWGk8f9XzeGzKY2HnpUJbgZu/uDnsdDpjbPJYvD37bQCuGf/CfxaGJTQCwGc3fYYbh94Ydt5+qfgFK35YEXY6nTFv8LyI/GaXC/HCeCy5cklE0mLAYOeLOxGdHg11thqqbBWikqIiPplQtq0MFTsrOr+wA4bdMgyxg7peyO/NEyndpTJCy4CWQW9+fqD3qk9RLj96+7sQCFRw6qc8eeWTuP3r21GlCz2Y4LsH34WQL8RvRvwGKYqUzm9oB4lAgknpkwK69n/3/G/I3yMXtsatYRgGr17zKpZ/tzwsVbantj+FJnMTbh56M9RSdcjpqKXqgMqgxdKCj458FPL35CfmB3U9IQRN5iY0mhq5rcnUhCZzEww2A8x2M8wOM8x2M2798lbuuL29g3Vw6ofujYBwx4BLAOExPDAMwx3Ln5dDwBN4bW4VRzFfDBFfBLFADDFfDLFADJlQBplQBrlQzh0/fsXjkAllXs8XY4/BwO0DQy7PthRvL/b6LJAIoMpSQZXt2twClXsvVUvbSal9SopLsOPZHWHlM3FkopfgFMmBU1/U6Y90un3RPiCQtM12M+qMdVw74G4TtFat7/vucWyym3z+b3PafNoCrk0gBAQEDBgwzKX2wOO4bTvgPna3AZ7tgUQggVwk92oPrsu9DlOzpoZUBsHQF+sBpXPc/WKDscGrf2wyNcFoN3bYL7Z9FywOS0D9ouc7EGi/KBZcehfa6RflQjmeuPIJiAViv88YKfpCnxCMx23qHCIC9NXG0ck6cbDmILaWbMWWki3YVbkLNqct6HR4DA/jUsZhaPxQDI4d7LLvkcUhXhbv2svjoRApIlJOzFOhpzEtaxp+XPaj1zmrw4rdVbu5Mjhw8UBITi7EfDEK0wqRF5eH3JhcJMgTuGd3l4VMKAu7DM41ncOgNweFfP/vx/we7815z+c8S1j82vArdlXuwsGLB1GmLUO5phwV2gqYHb5xSToiShSFTGUmYmWxUEvUUEvVUEvUUElUUEvUkAllrY08X+jT8Lu9IrbtSBysA3anHTanDXbWztl7uW29PDslg90AnVUHvVUPvU0PvVWPvb/d6yPcnv76ND6b91nI5QkAV/ztCoy+azQ0pRq0lLZAU6pxHZe0oKW0BYYaQ7v3ipViTojyEayyVBDKhD73/Pi3H8MWnBZ9vQiDbxgcVhrt0Rc6ya6mr/YJbhqMDdhdtRu7K3fjXPM5lGvLUa4pR4OpIah0eAwPGcoMJMoTuXaAawukapfd66WBnr8BoNvmkxDi1RY4iRN2p51rB9ybxWHxGaAa7UauDdBZddDb9Lh77N24r/C+Liq9Vvp6PYgEfbkMnKwTJxtOYlflLhyuOYwybRnKNGWo0FbA4ggu1pNCpECmKhMx0hivftH9PnTULwp5Qs5Trtd7wDq5d6Ftv9hWWDPZTTDYDNy7oLe53ofDfziMKFHX2r72hT6BOoegBASfx8f41PEYnzoef53yV86T3LnmczjffB4Xmi+gxlCDWkMtag21qDO6vMm1hSUs9lbvxd7qve1+l5AnhFQobdcxgogvAp/hg8BlNO8kTjhZp1dDYLKbQn5WBgykQt/ZfbFAjKlZUzE1ayqevepZmO1mlGpKca7pUhm0XPB6/lpDrd98WJ1W/Fz+M34u/7ndPLhnPztykNG2DDyFBYvDAqPdGHIZ8BgeJAKJ17kd5Tvwws4XsKtyV8grb3GyOMwZNAc3DL4BE9MnIl4Wf1ksxwcKT8CDKlMFVaYKWVOzfP5vN9uhLddyQpWXcFXa4oqEfqTWb9ryRLmPYNV8rrmLn4jSH2k2N+PZn5/FpnObcLbpbEhp8Bk+rsi8AjcMvgHXDrwWOTE5EPJ9hX8KpTezrWwbXtz5InZX7fY75gmEBHkC1y9OSJuAOFlcv+oXL2eo4NSL+ebMN15Lr57H/uL3SAQS8JiOA112hJAvRG5sLnJjc9u9xmw3Q2/Te3my89x7enfzPOc5U+hPNYPP8Dn1LB7D45al+Qy/XUHDHbdJKpD67BViBRQiBRRiBaJEUZAJZQGVjVQoxdD4oRgaP9Tv/wkhMNqNMNgMHT5z273FYWn1lAffGSP30jv37B7qKZ6/e9u9O25T2+eXCWVcGUSJoqAQKyAVSL0a7mZzM6atmhaS90BPti7ZilFJo8JKAwDeP/g+Vm5bGXY6nbHyypW4u+DuLv8eN0KpEHFD4hA3JM7v/y1ai5dA1VawqtpThao9oavUUiiB8Kfv/4SPj30cVhp3jb7L74p2sFgdVmT9X1bY6XRGpjITe367p8u/hxJ5vj3zrZc3WvcYyT1B2XYT8UUBCS51hjpMXz097PAq22/fjiFxQ8JKAwDe3PcmntvxXNjpdMaz057FXWPu6vLvuRygqnptIISg0dSI883nUaWr8olh1GJu8Ru/J1h1pq7CM36RXCTHPQX34A8Ff/B7bX+b/fBX1ft7GRypPYKXf3kZOyt2olJXGVKaUaIozMqZhXlD5qEorQgZyoyQghBXaitxoeVCp9ftrtyNv/7411CyCgD4+9V/x0MTHwIAmJvNaDrbFHJaABCdFo3oNFdb0hX1SQ45lFBi7+72V3SDJXZQLKQxwdtXBUJfUMvoavqiepLRZsTfd/0dm85twuHaw3CwjpDSGZs8FvOHzMe1OddicOxgKMTBB1tmCdvh6r0nC79ciHpjfdDfAQAD1ANw4f7O25xQ6Yv1oCOcrBMV2gqUtJSgxlDjNTaqN9a74hteGhN5TiqGEt4k0vAZPjcuco+R1ixYg8FxvirLBy8exCu7XsHOip2o1leH9H0KkQLX5V6H+UPmY3zqeGQoM0IKTO8u787YUb4DT2x7IpSsAgD+MfMfXaa+2hf6BKqqFwQV2goUlxTjx7IfcbL+JM43n4fepg86HTFfjEGxg5AaneoVu8h9rJKoIOKLuJmRtrF7hHwheAzPS5fbra4WTAwjnVXHxe7RWrQ90mD1lcFNV9JXyiA/KR9rblwDwPUu/FLxCw7XHka5thxlGpedU2eeBw02A7749Qt88esXAAABT4BURSpipDFem1uX2/M9aGvPIOQLwYDxq7Jpd9phdVoD6kQCRRojRVpRWsTS6wqMl/56ez4pfRu5SI6VU1di5dSVMNlN2Fe9D7srd+NCywVXW3DJzqmzPuVgzUEcrDmIx396HAAQL4tHvDzeqx1wH0sFUq+2wNPRQ1vVZXef2FZ9ORS7XErnOFknjtQewdaSrdhZuRNnm86itKU0pDGFWqLGoNhBXHxDz9iGsdJYV3zDdsZFbeMbem7ueuA5PuLiG3qMjdy2PZ4xHrUWbbvaFmNTxmLtTWtBCHH1i5W/4HCNR7+oLe9UWNfb9Pjs5Gf47KTLhlbIEyI1OtXve6AUK336xbbvQkf9osVhQYkmcv0ipWP67YrTI98+gnWl63Cu+VzIaeXF5WHxiMW4ceiNyI3JDWk2oSe53GbDQoGWQefYnDbOa1CDscHlPcjcBLPdzK22eh238RzkPrY6rT5G3p6TBJ7e9Np6EGpPyBLwBJAIJJx6hlhwSU2DL+G8acmFcm4fJYpCQUpBh+qo4dAXZta6GloGl2+7whIWWosWDaYGrj1oMDV4edj0effbtg+X/teeRz335qmy7dkm8Bie14Dasy0Q8UWcahbXJnh41vNsC+QiOeJl8ZiVO6vLyqsv1oNyTTkeLX4Um89vRoulJaQ0eAwPMwbMwG+G/wazcmddlnavVoeV86zXaGpEg6kBzeZmv31fR+9CJPpFf++CZ93n+sZL/aJ75c3zfRifOh4DYyLnYdaTrvztLXYLt/AQDsGsOPVbwQmPApB0enm7LBu1DB/O/TAiFWLKh1PCTqMzEuQJ+OqWr7zOXW4NWXt0VMX7exn0l+f3pCubvL4qNNB60P/KgKou0zIAvMuAJSwS/56IRlNjWGluWLgBc4fMDTdr2F62nVu57EpuzLsRDxQ9wH3ub3UACL5/0Vl1qNJV+YQm4IRHP5Oo7e0jsWrstgd3b54hCTyPZUIZF55AJpQhSZ6El65+iarqBUJubC7OGUNfbdp4diOe/flZLBm1BFmqrLDyEmhsnf8c+0/Ins/SortPzaefyeJ+oWVAyyDS6Kw6zokKn8f3cqjSm+nv9aC/Pz9AywDoG2XAY3h4/qrn8eDmB8Py4PrMz89AY9FgQd6CkGzc3CglyoDGR03mJnx64tOQv2d00uiQ7w2WvlAPPNFYNNhTtQe/VPyCY/XHUK4pR7m2HBqLJqh0hDwhslRZSItO83LJ7g5TopKoIBVK243RJuAJOnTJ7lbZdKtvWp1Wv6EJPF2yV5mrQrKP7LcrTi2aFpSaSrn4PTsqdgTtl9/N2OSxGJE4AkNihyBZkewVvyhOFge5UB6Rwc2gNwaFrFqYFp2Gyge9jf/7ohpBpOnvZdBXV0i6ErPdjEpdJaeG1GB0qWC49eU5+8I2HhU9ncU4WAenh+5u4EV8EaRCKeRCOWe/4RaA+LxLApHHMQBOhcMzGKKDdcDJumw9HKzDywbEM2Cie5bNHQAxXh6PTb/Z5PeZaT2gbQFAywCgZQAAJrsJOyt2YsuFLdhSsgVH646GlI5MKMPE9IntxjeMk8VBxBeFnd8T9Scw4p0RId9/3/j78I9Z/+A+9/f20Mk68cGhD/DW/rdwsv4kCELL86jEUViQtwBzBs3ByMSRvdqcharqdUB7heMZw8gdw+ei4aIrfo+hDjWGmpDjCEkEEm6w1J5baQFPwEVLd0vRDtbBSc4muwl1hrqQK3C2Khslf/I2HqQdBC2D3r5aEUn8/SYsYfFj6Y/YdHYTTjedxpnGMyjTlAX9nmUqM1GYVohxKeMwUD0QSVFJiJXFQiFScDrk3dlpsIT1CYJoc9radbPfX+oBVdulZQDQMgCC66P0Vj3ON5/H+ebzONd8DheaL6DW6BobuWMchuqFUSFS+MQ3bBuCg8/jc+OjtkFfLQ4L9DY9ms2hx7d7sOhBvHbta9zn/lIHAP/1YG/VXhT9qyisdCUCCWoeqoFKogorHQD4/be/x0dHPgo7nY4gFgLH8w4qOPkjGKmyLQabgXO32dajnT8vd+5Z6Laxizxnob2MYNvGMOLxXY1HOzGM2otjFCWK4mIYuff+ZnX6u9AA0DLo7zNrJS0luPHzG3Gk9kjIafAZPlbPX40pGVOQFp0WVpm+/MvLWHdqXafX1RnrUKkNzX08AKxfuB5zBs/hPvf3egDQtgCgZQDQMggFlrDQWDSdxjdse87sMHPCUFunCE7W6eMUxD1O8oxvKOKLQo7x6I5z2HZSi7aHwJ6qPXjv4Hv4peKXkDWdpAIpZubMxNzBczE6eTQGqgdCLpIHnU6ltjIgRyX/Pvxv/N/e/wslq4AFwIuggpM/OOcQ/Qyfn7kfzagAAPxVc1oGtIOAK5+1hlqcaTqD042ncarhFCp0Fag31qPB2IB6Y33AtoVJUUkYoB6A5Khkzs1u200mlPmo5rXde7qebTuYsLN2rDu1Dh8e+TDkZ/560de4YfAN3GdaD+iAGaBlANAyAPrXigvQvY5i+lI9cFNnqMOuyl04UX+Cc8lepilDtb46aBMXtxt2tVTt5ZpdKVZ26D3XMzakp22T3WmHnXW5ZN9Wtg0/lf0U2kNSwal9ulpw6jPF2VUNQ195foCWAWgHESgsYf3OoPrbWxwWL/sm97Hn3rPh5/aXXM96upv13LcnZPEZvt9ZVyFf6OWm3fN4SNwQLxUKWg/ogBmgZQDQMgBoGdD2MDAIITDZTV7hCVosLe27Y2/HNbudtXutOLadMGwvLAHDMO0KWe6VR0837G0963m6Y4cVWDB6AfWqR6FQOqZLm/DeOGtJ3Q8D8O28+309YJiuK4Pe+PwALQOAlsFlNIiPJP2+PQQCyicDQH5py4pwlrobnTZwj9VUcIowvW0Q1u2zG73s+XukY6BlQDvkXkiPzHTSekDLAKBl0N+f/xL9fnxE60HvLQOdLuBLqeAUYS6nZdiQ6O/PD9AyoHD0+/aAQqFQLkHbQ8rlABWcKBRK5OllM4tUmO0haD3oXWXQU+9Bfy+D3vT8AG0PewpaDy6LMqCCEyWy9LaXoi3d0VDQMuhTHTPVZ79Mvqu3QsuAlkF/f36KC1oPLosyoIIThUKJPL1RYHDTXQ33ZdBBhA2tB7QMAFoGvfn5gW6rBxs3bgzrfoZhMGHCBMTExEQoR91Mb64HtC0ImH7rjlwLILjwt32cLvqZm5qasHbtWqxevRr79u2LWLoMw2DatGlYunQpbrzxRkRFRUUs7UhTWVmJTz75BKtXr8apU6cilq5QKMTs2bOxdOlSzJ49GyKRbxDjsLkMGrGg6a8xzTpqA/pLGXjiWR798fkBWgYALQOgS8YH5eXl+Pjjj7F69WqcPXs2YumKRCJcf/31WLZsGWbOnEn7xUjRX/vFS+gAKBFYHCeQfoZWqyUAiNZVTSK/9QOsVitZv349mT9/PhEKhQQubaeAtkmTJpGxY8cGdY9MJiNLliwhW7duJQ6Ho6cfnxBCiF6vJ6tXrybTp08nDMME/Cw8Ho9ce+21JCcnJ6gyiImJIcuXLyd79+4lLMv29ON74XQ6ya5du8jDDz9MBg4cGNRzdbap1WqyZMkSsn79emI0GrvmAWhbEBGMRiNZt24dWbJkCVGpVBGtBzk5OeThhx8mu3fvJk6ns6cftV1aWlrIf/7zHzJ//nwilUojWgb5+fnkqaeeIsePH+91bYAnFy9eJG+//Ta5+uqriUAgiNjzMwxDJk+eTF599VVSUlLS04/ZIefPnyevvPIKmTBhQlD9Q2ebUCgkM2fOJO+99x6pra3t6cf0QafTkQ8//JBMmzYtqOfi8Xhk5syZZMCAAUHdFxcXR+677z5y4MCBXvdOOJ1OsnPnTvLQQw+R7OzsiLYFMTEx5Pbbbydff/01MZlMPf2o7WK1Wsn3339P/vCHP5DExMSIlkFqaipZvnw5KS4uJna7Pey8crKBVtvptf2ud6eCU2iwLEv27dtH7r33XhIbGxtUBY+NjSUPPvgg+fXXX7n0Dh48SO6++26iUCiCSistLY08+uijXml1F06nk2zdupUsXbqUyOXyoPKdnp5OnnrqKVJRUcGV548//khuvfVWIhKJgkpryJAh5Pnnn+fS6glsNhvZsmUL+eMf/0iSk5ODyv/IkSPJ//zP/5DZs2cHNbCSyWRkwYIF5OOPPyYtLS2Re5iuagt68xYhQhUU+Hw+mTlzJnn88cfJ6NGjg6o/KSkp5J577iFbtmwhNpstYs8SKhcvXiTvvPMOueaaa4Kqz1KplNx8883kkUceCXoiJScnh/zlL3/pNYJkqIKCSqUid955J7n//vuDbkfy8/PJ008/3SsESZZlydGjR8nKlSvJyJEjg3qO5ORkcv/995M777wzqAkHtyD52muvkdLS0h57dofDQX744Qdy2223EZlMFtSzZ2ZmkmeeeYZUVVURQlr72FtuuSXoSdmhQ4eSF198kUurJ7BarWTz5s3kD3/4A0lKSgoq/6NHjyaPP/44mTVrFuHz+QHfJ5fLyU033UTWrFlDNBpNjz27G4PBQL766iuyePFiolQqg6rPU6ZMIU888QSZPHlyUGUXCUGyzwlOb775JsnMzCRisZiMHz+e7N27t8PrP//8czJ48GAiFovJ8OHDyaZNmwL+ri4XnHrTFgEqKyvJCy+8QPLy8oKqyADItGnTyKeffkosFku76ev1evLPf/6TjB8/Puj0x40bR9544w3S0NAQkWdtj1OnTpHHHnuMpKenB5U/Pp9P5s2bR7777rsOV8oaGhrIq6++SoYMGRJU+gzDkKuuuoqsWrWK6PX6Li0DQlwrCuvXrydLly4larU6qLwOGTKErFy50kfgbWpqIh988AGZPn064fF4AacnEAjItddeS959911SU1PT5c/eESzLkpKSEvLpp5+SBx54gBQVFRGpVEoEAkHYm1QqJRMmTCAPPPAA+fTTT0lpaWmPDxJrampCEhTc9fW9997zeWdPnz5NnnrqqaDbGbVaTZYuXUo2bNjQrTOvbkFh4sSJQQkKIpGIzJ07l6xZs8brnWVZlhw4cID8+c9/DrqdcQuSW7du7TZB0i0oPPnkk0ELClFRUWTx4sXk22+/JVarlUvT4XCQbdu2kbvvvjvoybnc3Fzyl7/8hezZs6fbBEmn00l++eUX8uc//zmklZK7776bbNu2zatvsFqt5NtvvyWLFy8OenJu9OjR5OmnnyYnTpzoljbi5MmT5JFHHiGpqalB5VMgEJAbb7yRfP/99x3+VnV1deSVV14hubm5QaXPMAy5+uqryX/+8x9iMBi6vBzcgsJtt90WlKAAuIS9p59+mpw5c8YrzYaGBvLee++RadOmBdW+CIVCMmvWLPL++++Turq6Ln92N83NzWTVqlVk3rx5Qa+0FxYWktdee41UVlZ6pVlRUUH+/ve/k4KCgqDSC1WQDEZw6nEbp88++wxLly7Fu+++i8LCQrz++uv44osvcObMGSQkJPhcv2vXLlxxxRV44YUXcP3112PNmjV46aWXcOjQIQwfPrzT7+tyG6eeLc6IYDAYsH79eqxevRrFxcUItopMmTIFd911F3Jzc4O67+jRo/jggw9w+PDhoO7rClugcGy3eDwerrvuOtx+++1ITk4O+D5CCHbu3IkPPvgAFy5cCOo7ZTIZbrzxRixbtgxTp04Fn88P6v720Gg02LRpE9atW4fvv/8eJpMp4Huzs7OxaNEiLFy4ECNHjuw0+GFdXR2+/PJLrF27Fjt37gz4exiGwcSJE7FgwQLMnz8f2dnZAd8bClqtFvv378fevXu5rb6+PqB8Dhs2DJMnT8akSZMwYsQInDx5Ejt37sQvv/yC48ePB/SuJSQkoLCwEEVFRSgsLMS4ceM618kOk5KSEqxfvx7r1q3D7t27g2oTJk2ahIULF+Kmm27q9H0ghODEiRNYu3Yt1q5di5KSkoC/RyaTYdasWZg/fz5mz54NlUoV8L2dQQjB8ePHuTI4duxYwPfy+XxcffXVWLhwIebNm9dpvliWxZ49e7B27Vp8/vnnqKurC/i71Go1brjhBsyfPx/XXHMNpFJpwPd2Bsuy2Lt3L9atW4f169cH1UZJJBLMmTMHCxcuxHXXXddpvux2O3788UesXbsW69atgy6I4JQpKSmYP38+5s+fjyuuuAJCoTDgezvDbrfjp59+wvr167FhwwbU1tYGfK9KpcKCBQuwcOFCXHXVVRAIOvbNZTKZ8N1332Ht2rXYtGkTLBZLwN+Vm5vLtYfjxo0Dj8cL+N6OaGhowNq1a7Fq1SocPHgwqHv5fD5mz56N22+/HYmJiQHfRwjB9u3b8c9//hOlpaVBfWdUVBRuuukmLF26FFdeeWXEyqGlpQUbN27EunXrsHnzZpjN5oDvzcnJwcKFC7Fo0aKAxqw1NTX44osvsHbtWuzevTvg72EYBpMnT+behaysrIDvDYSamhps2LAB69atw7Zt2+BwOAK+Nz8/H4sWLcItt9wSUH99/vx5fPbZZ1i7di1OnDgR8PcIhULMmDED8+fPx9y5c/3KFG442SAAG6ceF5zcHf+bb74JwNU4p6en47777sOjjz7qc/3ChQthNBq9vLMUFRUhPz8f7777bqffRwUn/7Asi23btmHVqlX46quvYDQaezpLIRETE4Nbb70VS5cuxbhx44KKVG6z2fDdd99h9erV2LhxI+x2exfmtOtIS0vDkiVLsHTpUgwZMiTo+2tra/H1119j/fr1+PHHH0MqB5FIhNzc3JAjxV+8eBHNzc0h3Zufn4/58+djwYIFGDZsWFjR6h0OB06ePIm9e/diz5492Lt3L06dOhWQ4CCRSDBu3DhOUJowYUKHg2aNRoM9e/ZwgtS+ffsCGiwxDIO8vDxOkCosLMSwYcM6HZh1hFuAcQ+Sjx49GlI6MTExSElJCTkP586dg81mC/peoVCIq666CgsWLMDcuXODGqi5CUdQ8CQ5ORmxsbEh3et0OnHmzBmwLBv0vW5BcsGCBZg9ezaUSmXQadjtdmzbto0TFGpqaoJOAwAyMzOhUChCutdiseD8+fMh3RsTE4M5c+ZgwYIFuPrqq0MSJE0mEzZv3oz169fj22+/hUajCSkvubm5EIvFId2r0+lQUVER0r2pqamYN28eFixYgCuuuCLodsFqtWLTpk1YtWoVvvvuu6AGyL2JjIwMLFmyBEuWLMHgwYODvt8tKKxfvx4//fRTSOUgFouRk5MTcp9UXV2NlpaWkO4dM2YM1y/m5eWFlIfz589j/fr1WL9+fVBCnCcKhQKZmZkh3QsApaWlIY1PeTweJk2axE0otM1DnxGcbDYbZDIZvvzyS8ybN487v2zZMmg0Gnz99dc+92RkZGDFihV44IEHuHMrV67Ehg0bAurc+61XPcCvUHfmzBmsWrUKH3/8MSorK4NKLj09HXfeeScmT54c1uC0I1iWxdatW/HRRx8FNKvvyZAhQ7B06VLcdtttSE9P93sNIQQHDhzA6tWr8emnn6KpqSmo7xg6dCjuuusujBo1Kqj7gsFms+Gbb77BJ598Ar1eH9S948aNw7Jly7Bo0aIOB2+lpaXcbPquXbuCWlFITk7GjTfe2G4ZRwKj0YhNmzYFPcuZk5PDNZTjx4/vdMaxurraayVp//79Aa+yxcbGdunKj8FgQENDQ0DXyuVyFBQUeK1MdSbAsCyLffv2cYJCsIPV0aNH4/rrr+9SD5jV1dX46quvUF1dHfA9DMN4dZgdzbyGIyi4Z3ivvvrqkAfIgXDu3DmsW7cuqIkFoVCI6dOnczOvHQmSJpMJP/zwA9atWxe0oCAQCHDNNddg8uTJEVv1bgshBIcPH8a3334b1Aq4XC73WpHsSJDUaDTcisL3338f1IqCTCbDnDlzMHr06C7tF3fu3IkffvghqImtmJgYbkWyI0GSEIJ9+/Zh1apVWLt2bdCD9eHDh+Ouu+7CiBEjgrovGKxWKzZs2IBPP/0UBoMhqHsLCwuxbNkyLFy4sEPX5hcuXOD6xT179gTVL6ampmLBggVIS0sLKm/BYDAYsHHjxqC1dAYNGuS1ItlePSWE4NixY1wZHD9+PKjvyc3Nxfz580OeOAqEpqYmrFu3Luj+qq0gqdfr+4bgdPHiRaSmpmLXrl2YMGECd/4vf/kLtm/fjr179/rcIxKJsGrVKtx6663cubfffhtPPfWUX5UGq9UKq9XKfdZqtcjIyEAl+qHgpNVyhxcuXMDatWtx4MCBoJOJiYnBokWLcNVVV3VZ59gWm82G//73v/jyyy+DbiR5PB6mTJmChQsXcqpC7gbh008/xZkzZ4LOj3tVJ9hVrXAwGo1Yv349vvnmm6BXgYRCIa699lrMnz+f6yhYlsWhQ4fw7bffBqV65GbAgAFYsGABioqKuq0euDuy3bt3Bz0Ln5ycjOuvvx7Tpk3jBgxOpxOnTp3CgQMHcODAgaAG5IBrJr2oqAjjx49HdnZ2l9YFQgjKy8u51a+ysrKg7k9NTUVBQQHGjRuHIUOGcL+Z2WzGTz/9hG+//TYo1SPA9W4VFRVh/vz5yMnJCereUHGrsq1bty6kVaCRI0dizpw5GDNmDCdIazQabN68GZs3bw56kCgQCDB9+nTccMMNIa+uBYtbwFu3bl1Iv1lhYSFuuOEGDB48mKuz9fX12LRpE7Zs2RKUoAC4hIWZM2di9uzZ3RZjx2g0YvPmzSGtAgmFQkydOhXXX389MjIyuPNlZWXYuHEjtm/fHvSKglqtxpw5c3DNNddALpcHdW+oNDc3Y+PGjUELd4BLkLz66qtx3XXXIT4+HkCrULp27VqcO3cu6Pykp6dj6dKlGDt2bLf1i3q9HuvWrcPGjRuD/s1EIhFmzZrlpULLsiwOHDiAb7/9Nii1MDfuybrCwsKIqQZ2xvnz50MS7gCXauucOXMwdepUSCQSAK72ZceOHdi4cWPQ6pGAS+tjwYIFGD58eLfUA0IIjh49GpJwB7gEvOnTp+OWW26BRqPpfHU+YMupLqC6upoAILt27fI6//DDD5Px48f7vUcoFJI1a9Z4nXvrrbdIQkKC3+tXrlwZlGEZ3ehGN7rRjW50oxvd6Ea3/rW1dVLhj9CV4CNAXFwc+Hy+z0pRXV0dkpKS/N6TlJQU1PWPPfYYVqxYwX1mWRbNzc2IjY3tthkRNzqdDunp6aisrOxyY25K74XWAwqtAxSA1gOKC1oPKACtBz0JIQR6vT4grYEeFZxEIhHGjh2L4uJizsaJZVkUFxfj3nvv9XvPhAkTUFxc7GXjtGXLFi9VP0/EYrGPvnkkvS2FQnR0NH0pKLQeUGgdoACg9YDigtYDCkDrQU8RqAOdHhWcAGDFihVYtmwZCgoKMH78eLz++uswGo244447AABLly5FamoqXnjhBQDAn/70J1x55ZV49dVXMXv2bM5O5/333+/Jx6BQKBQKhUKhUCiXMT0uOC1cuBANDQ144oknUFtbi/z8fHz//fec15+KigovA7uJEydizZo1ePzxx/HXv/4Vubm52LBhQ0D+8CkUCoVCoVAoFAolFHpccAKAe++9t13VvG3btvmcu/nmm3HzzTd3ca4ij1gsxsqVK7vUVS2l90PrAYXWAQpA6wHFBa0HFIDWg75CjwfApVAoFAqFQqFQKJTeTvc4madQKBQKhUKhUCiUPgwVnCgUCoVCoVAoFAqlE6jgRKFQKBQKhUKhUCidQAUnCoVCoVAoFAqFQukEKjh1I2+99RaysrIgkUhQWFiIffv29XSWKN3ECy+8gHHjxkGhUCAhIQHz5s3DmTNnejpblB7mxRdfBMMwXgG9Kf2D6upq3HbbbYiNjYVUKsWIESNw4MCBns4WpZtwOp3429/+huzsbEilUgwcOBDPPPMMqL+uy5uff/4Zc+bMQUpKChiGwYYNG7z+TwjBE088geTkZEilUsyYMQPnzp3rmcxS/EIFp27is88+w4oVK7By5UocOnQIo0aNwrXXXov6+vqezhqlG9i+fTuWL1+OPXv2YMuWLbDb7bjmmmtgNBp7OmuUHmL//v147733MHLkyJ7OCqWbaWlpwaRJkyAUCvHf//4Xv/76K1599VWo1eqezhqlm3jppZfwzjvv4M0338SpU6fw0ksv4eWXX8Ybb7zR01mjdCFGoxGjRo3CW2+95ff/L7/8Mv7xj3/g3Xffxd69eyGXy3HttdfCYrF0c04p7UHdkXcThYWFGDduHN58800AAMuySE9Px3333YdHH320h3NH6W4aGhqQkJCA7du344orrujp7FC6GYPBgDFjxuDtt9/Gs88+i/z8fLz++us9nS1KN/Hoo4/il19+wY4dO3o6K5Qe4vrrr0diYiL+9a9/ceduvPFGSKVSfPzxxz2YM0p3wTAM1q9fj3nz5gFwrTalpKTgoYcewp///GcAgFarRWJiIj766CMsWrSoB3NLcUNXnLoBm82GgwcPYsaMGdw5Ho+HGTNmYPfu3T2YM0pPodVqAQAxMTE9nBNKT7B8+XLMnj3bq02g9B+++eYbFBQU4Oabb0ZCQgJGjx6NDz74oKezRelGJk6ciOLiYpw9exYAcPToUezcuROzZs3q4ZxReorS0lLU1tZ69QtKpRKFhYV0rNiLEPR0BvoDjY2NcDqdSExM9DqfmJiI06dP91CuKD0Fy7J44IEHMGnSJAwfPryns0PpZtauXYtDhw5h//79PZ0VSg9RUlKCd955BytWrMBf//pX7N+/H/fffz9EIhGWLVvW09mjdAOPPvoodDodhgwZAj6fD6fTieeeew6LFy/u6axReoja2loA8DtWdP+P0vNQwYlC6WaWL1+OEydOYOfOnT2dFUo3U1lZiT/96U/YsmULJBJJT2eH0kOwLIuCggI8//zzAIDRo0fjxIkTePfdd6ng1E/4/PPP8cknn2DNmjUYNmwYjhw5ggceeAApKSm0DlAovRiqqtcNxMXFgc/no66uzut8XV0dkpKSeihXlJ7g3nvvxcaNG/HTTz8hLS2tp7ND6WYOHjyI+vp6jBkzBgKBAAKBANu3b8c//vEPCAQCOJ3Ons4ipRtITk7G0KFDvc7l5eWhoqKih3JE6W4efvhhPProo1i0aBFGjBiBJUuW4MEHH8QLL7zQ01mj9BDu8SAdK/ZuqODUDYhEIowdOxbFxcXcOZZlUVxcjAkTJvRgzijdBSEE9957L9avX48ff/wR2dnZPZ0lSg8wffp0HD9+HEeOHOG2goICLF68GEeOHAGfz+/pLFK6gUmTJvmEIzh79iwyMzN7KEeU7sZkMoHH8x6C8fl8sCzbQzmi9DTZ2dlISkryGivqdDrs3buXjhV7EVRVr5tYsWIFli1bhoKCAowfPx6vv/46jEYj7rjjjp7OGqUbWL58OdasWYOvv/4aCoWC01dWKpWQSqU9nDtKd6FQKHzs2uRyOWJjY6m9Wz/iwQcfxMSJE/H888/jlltuwb59+/D+++/j/fff7+msUbqJOXPm4LnnnkNGRgaGDRuGw4cP47XXXsOdd97Z01mjdCEGgwHnz5/nPpeWluLIkSOIiYlBRkYGHnjgATz77LPIzc1FdnY2/va3vyElJYXzvEfpeag78m7kzTffxCuvvILa2lrk5+fjH//4BwoLC3s6W5RugGEYv+c//PBD3H777d2bGUqvYurUqdQdeT9k48aNeOyxx3Du3DlkZ2djxYoV+N3vftfT2aJ0E3q9Hn/729+wfv161NfXIyUlBbfeeiueeOIJiESins4epYvYtm0bpk2b5nN+2bJl+Oijj0AIwcqVK/H+++9Do9Fg8uTJePvttzFo0KAeyC3FH1RwolAoFAqFQqFQKJROoDZOFAqFQqFQKBQKhdIJVHCiUCgUCoVCoVAolE6gghOFQqFQKBQKhUKhdAIVnCgUCoVCoVAoFAqlE6jgRKFQKBQKhUKhUCidQAUnCoVCoVAoFAqFQukEKjhRKBQKhUKhUCgUSidQwYlCoVAo/YZt27aBYRhoNJoOr8vKyqJBiSkUCoXiBRWcKBQKhdLruP3228EwDBiGgUgkQk5ODp5++mk4HI6w0p04cSJqamqgVCoBAB999BFUKpXPdfv378fvf//7sL6LQqFQKJcXgp7OAIVCoVAo/pg5cyY+/PBDWK1WfPfdd1i+fDmEQiEee+yxkNMUiURISkrq9Lr4+PiQv4NCoVAolyd0xYlCoVAovRKxWIykpCRkZmbij3/8I2bMmIFvvvkGLS0tWLp0KdRqNWQyGWbNmoVz585x95WXl2POnDlQq9WQy+UYNmwYvvvuOwDeqnrbtm3DHXfcAa1Wy61uPfnkkwB8VfUqKiowd+5cREVFITo6Grfccgvq6uq4/z/55JPIz8/Hf/7zH2RlZUGpVGLRokXQ6/XdUlYUCoVC6Xqo4EShUCiUPoFUKoXNZsPtt9+OAwcO4JtvvsHu3btBCMF1110Hu90OAFi+fDmsVit+/vlnHD9+HC+99BKioqJ80ps4cSJef/11REdHo6amBjU1Nfjzn//scx3Lspg7dy6am5uxfft2bNmyBSUlJVi4cKHXdRcuXMCGDRuwceNGbNy4Edu3b8eLL77YNYVBoVAolG6HqupRKBQKpVdDCEFxcTE2b96MWbNmYcOGDfjll18wceJEAMAnn3yC9PR0bNiwATfffDMqKipw4403YsSIEQCAAQMG+E1XJBJBqVSCYZgO1feKi4tx/PhxlJaWIj09HQCwevVqDBs2DPv378e4ceMAuASsjz76CAqFAgCwZMkSFBcX47nnnotYWVAoFAql56ArThQKhULplWzcuBFRUVGQSCSYNWsWFi5ciNtvvx0CgQCFhYXcdbGxsRg8eDBOnToFALj//vvx7LPPYtKkSVi5ciWOHTsWVj5OnTqF9PR0TmgCgKFDh0KlUnHfCbjU+9xCEwAkJyejvr4+rO+mUCgUSu+BCk4UCoVC6ZVMmzYNR44cwblz52A2m7Fq1SowDNPpfb/97W9RUlKCJUuW4Pjx4ygoKMAbb7zR5fkVCoVenxmGAcuyXf69FAqFQukeqOBEoVAolF6JXC5HTk4OMjIyIBC4NMvz8vLgcDiwd+9e7rqmpiacOXMGQ4cO5c6lp6fj7rvvxrp16/DQQw/hgw8+8PsdIpEITqezw3zk5eWhsrISlZWV3Llff/0VGo3G6zspFAqFcnlDBScKhUKh9Blyc3Mxd+5c/O53v8POnTtx9OhR3HbbbUhNTcXcuXMBAA888AA2b96M0tJSHDp0CD/99BPy8vL8ppeVlQWDwYDi4mI0NjbCZDL5XDNjxgyMGDECixcvxqFDh7Bv3z4sXboUV155JQoKCrr0eSkUCoXSe6CCE4VCoVD6FB9++CHGjh2L66+/HhMmTAAhBN999x2nKud0OrF8+XLk5eVh5syZGDRoEN5++22/aU2cOBF33303Fi5ciPj4eLz88ss+1zAMg6+//hpqtRpXXHEFZsyYgQEDBuCzzz7r0uekUCgUSu+CIYSQns4EhUKhUCgUCoVCofRm6IoThUKhUCgUCoVCoXQCFZwoFAqFQqFQKBQKpROo4EShUCgUCoVCoVAonUAFJwqFQqFQKBQKhULpBCo4USgUCoVCoVAoFEonUMGJQqFQKBQKhUKhUDqBCk4UCoVCoVAoFAqF0glUcKJQKBQKhUKhUCiUTqCCE4VCoVAoFAqFQqF0AhWcKBQKhUKhUCgUCqUTqOBEoVAoFAqFQqFQKJ1ABScKhUKhUCgUCoVC6YT/B1ELLkQTsnb+AAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/project/koohylab/bmcmaste/miniconda3/envs/tcr-pmhc-interface-analysis/lib/python3.10/site-packages/logomaker/src/matrix.py:584: FutureWarning: In a future version, `df.iloc[:, i] = newvals` will attempt to set the values inplace instead of always setting a new array. To retain the old behavior, use either `df[df.columns[i]] = newvals` or, if columns are non-unique, `df.isetitem(i, newvals)`\n",
      "  counts_df.loc[:, c] = tmp_mat.sum(axis=0).T\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for (chain_type, cdr, cluster), group in (df.query(\"cluster != 'noise' and cluster_type == 'canonical'\")\n",
    "                                            .groupby(['chain_type', 'cdr', 'cluster'])):\n",
    "    with tempfile.TemporaryDirectory() as directory:\n",
    "        input_file = os.path.join(directory, 'input.fasta')\n",
    "        output_file = os.path.join(directory, 'output.fasta')\n",
    "\n",
    "        with open(input_file, 'w') as fh:\n",
    "            fh.write(format_fasta(group))\n",
    "\n",
    "        cmd = f'clustalw2 -INFILE={input_file} -OUTFILE={output_file} -OUTPUT=FASTA'\n",
    "        subprocess.run(cmd.split(), check=True, stdout=subprocess.DEVNULL)\n",
    "\n",
    "        with open(output_file, 'r') as fh:\n",
    "            aligned_sequences = [line.strip() for line in fh.readlines() if not line.startswith('>')]\n",
    "\n",
    "\n",
    "    probs = logomaker.alignment_to_matrix(aligned_sequences, to_type='information')\n",
    "    logomaker.Logo(probs, color_scheme='chemistry')\n",
    "\n",
    "    cluster_name = f\"CDR-{'A' if chain_type == 'alpha_chain' else 'B'}{cdr} - Cluster {cluster}\"\n",
    "\n",
    "    plt.title(cluster_name)\n",
    "    plt.ylabel('Bits')\n",
    "    plt.xlabel('Position')\n",
    "\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce7d01b4",
   "metadata": {},
   "source": [
    "### Look at backbone traces of each cluster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "d2789b1f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>chain_type</th>\n",
       "      <th>cdr</th>\n",
       "      <th>name</th>\n",
       "      <th>cluster</th>\n",
       "      <th>ca_coordinate_x</th>\n",
       "      <th>ca_coordinate_y</th>\n",
       "      <th>ca_coordinate_z</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>alpha_chain</td>\n",
       "      <td>1</td>\n",
       "      <td>4ozg_EF</td>\n",
       "      <td>1</td>\n",
       "      <td>224.155000</td>\n",
       "      <td>40.712000</td>\n",
       "      <td>219.187000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>alpha_chain</td>\n",
       "      <td>1</td>\n",
       "      <td>4ozg_EF</td>\n",
       "      <td>1</td>\n",
       "      <td>227.900000</td>\n",
       "      <td>39.718000</td>\n",
       "      <td>219.665000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>alpha_chain</td>\n",
       "      <td>1</td>\n",
       "      <td>4ozg_EF</td>\n",
       "      <td>1</td>\n",
       "      <td>229.249000</td>\n",
       "      <td>39.147000</td>\n",
       "      <td>223.257000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>alpha_chain</td>\n",
       "      <td>1</td>\n",
       "      <td>4ozg_EF</td>\n",
       "      <td>1</td>\n",
       "      <td>232.636000</td>\n",
       "      <td>40.071000</td>\n",
       "      <td>224.817000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>alpha_chain</td>\n",
       "      <td>1</td>\n",
       "      <td>4ozg_EF</td>\n",
       "      <td>1</td>\n",
       "      <td>234.200000</td>\n",
       "      <td>36.568000</td>\n",
       "      <td>224.708000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2245</th>\n",
       "      <td>beta_chain</td>\n",
       "      <td>3</td>\n",
       "      <td>3gsn_AB</td>\n",
       "      <td>7</td>\n",
       "      <td>-55.580629</td>\n",
       "      <td>12.969075</td>\n",
       "      <td>-2.638147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2245</th>\n",
       "      <td>beta_chain</td>\n",
       "      <td>3</td>\n",
       "      <td>3gsn_AB</td>\n",
       "      <td>7</td>\n",
       "      <td>-56.991148</td>\n",
       "      <td>13.552541</td>\n",
       "      <td>-6.135106</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2245</th>\n",
       "      <td>beta_chain</td>\n",
       "      <td>3</td>\n",
       "      <td>3gsn_AB</td>\n",
       "      <td>7</td>\n",
       "      <td>-55.012334</td>\n",
       "      <td>12.367820</td>\n",
       "      <td>-9.171847</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2245</th>\n",
       "      <td>beta_chain</td>\n",
       "      <td>3</td>\n",
       "      <td>3gsn_AB</td>\n",
       "      <td>7</td>\n",
       "      <td>-53.256231</td>\n",
       "      <td>14.847797</td>\n",
       "      <td>-11.441973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2245</th>\n",
       "      <td>beta_chain</td>\n",
       "      <td>3</td>\n",
       "      <td>3gsn_AB</td>\n",
       "      <td>7</td>\n",
       "      <td>-54.906846</td>\n",
       "      <td>15.594755</td>\n",
       "      <td>-14.752955</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>15537 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       chain_type  cdr     name cluster  ca_coordinate_x  ca_coordinate_y  \\\n",
       "0     alpha_chain    1  4ozg_EF       1       224.155000        40.712000   \n",
       "0     alpha_chain    1  4ozg_EF       1       227.900000        39.718000   \n",
       "0     alpha_chain    1  4ozg_EF       1       229.249000        39.147000   \n",
       "0     alpha_chain    1  4ozg_EF       1       232.636000        40.071000   \n",
       "0     alpha_chain    1  4ozg_EF       1       234.200000        36.568000   \n",
       "...           ...  ...      ...     ...              ...              ...   \n",
       "2245   beta_chain    3  3gsn_AB       7       -55.580629        12.969075   \n",
       "2245   beta_chain    3  3gsn_AB       7       -56.991148        13.552541   \n",
       "2245   beta_chain    3  3gsn_AB       7       -55.012334        12.367820   \n",
       "2245   beta_chain    3  3gsn_AB       7       -53.256231        14.847797   \n",
       "2245   beta_chain    3  3gsn_AB       7       -54.906846        15.594755   \n",
       "\n",
       "      ca_coordinate_z  \n",
       "0          219.187000  \n",
       "0          219.665000  \n",
       "0          223.257000  \n",
       "0          224.817000  \n",
       "0          224.708000  \n",
       "...               ...  \n",
       "2245        -2.638147  \n",
       "2245        -6.135106  \n",
       "2245        -9.171847  \n",
       "2245       -11.441973  \n",
       "2245       -14.752955  \n",
       "\n",
       "[15537 rows x 7 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ca_coordinates = []\n",
    "names = []\n",
    "chain_types = []\n",
    "cdrs = []\n",
    "clusters = []\n",
    "\n",
    "for (chain_type, cdr, cluster), group in (df.query(\"cluster != 'noise' and cluster_type == 'canonical'\")\n",
    "                                            .groupby(['chain_type', 'cdr', 'cluster'])):\n",
    "    pdb_id, chains = group.iloc[0]['name'].split('_')\n",
    "    alpha_chain_id, beta_chain_id = tuple(chains)\n",
    "    cdr = int(cdr)\n",
    "\n",
    "    with open(os.path.join('../data/raw/stcrdab', 'imgt', pdb_id + '.pdb'), 'r') as fh:\n",
    "        reference_structure_df = parse_pdb_to_pandas(fh.read())\n",
    "\n",
    "    reference_structure_df = annotate_tcr_pmhc_df(reference_structure_df, alpha_chain_id, beta_chain_id)\n",
    "    reference_tcr_df = reference_structure_df.query('chain_type.notnull()')\n",
    "\n",
    "    reference_cdr_df = reference_tcr_df.query((\"chain_type == @chain_type and cdr == @cdr\"))\n",
    "    refrence_anchors = pd.concat(find_anchors(reference_cdr_df, reference_tcr_df, 5))\n",
    "\n",
    "    for _, row in group.iterrows():\n",
    "        pdb_id, chains = row['name'].split('_')\n",
    "        alpha_chain_id, beta_chain_id = tuple(chains)\n",
    "\n",
    "        chain_type = row.chain_type\n",
    "        cdr = int(row.cdr)\n",
    "\n",
    "        with open(os.path.join('../data/raw/stcrdab', 'imgt', pdb_id + '.pdb'), 'r') as fh:\n",
    "            structure_df = parse_pdb_to_pandas(fh.read())\n",
    "\n",
    "        structure_df = annotate_tcr_pmhc_df(structure_df, alpha_chain_id, beta_chain_id)\n",
    "        tcr_df = structure_df.query('chain_type.notnull()')\n",
    "\n",
    "        cdr_df = tcr_df.query((\"chain_type == @chain_type and cdr == @cdr\"))\n",
    "        anchors = pd.concat(find_anchors(cdr_df, tcr_df, 5))\n",
    "\n",
    "        cdr_df = align_pandas_structure(\n",
    "            get_coords(anchors.query(\"atom_name == 'N' or atom_name == 'C' or atom_name == 'CA' or atom_name == 'O'\")),\n",
    "            get_coords(refrence_anchors.query((\"atom_name == 'N' or atom_name == 'C' \"\n",
    "                                               \"or atom_name == 'CA' or atom_name == 'O'\"))),\n",
    "            cdr_df,\n",
    "        )\n",
    "\n",
    "        coords = get_coords(cdr_df.query(\"atom_name == 'CA'\"))\n",
    "\n",
    "        ca_coordinates.append(coords)\n",
    "        chain_types.append(chain_type)\n",
    "        cdrs.append(cdr)\n",
    "        clusters.append(cluster)\n",
    "        names.append(row['name'])\n",
    "\n",
    "ca_coordinate_df = pd.DataFrame({\n",
    "    'ca_coordinate': ca_coordinates,\n",
    "    'chain_type': chain_types,\n",
    "    'cdr': cdrs,\n",
    "    'name': names,\n",
    "    'cluster': clusters,\n",
    "})\n",
    "\n",
    "ca_coordinate_df = ca_coordinate_df.explode('ca_coordinate')\n",
    "ca_coordinate_df[['ca_coordinate_x',\n",
    "                  'ca_coordinate_y',\n",
    "                  'ca_coordinate_z']] = ca_coordinate_df['ca_coordinate'].apply(pd.Series)\n",
    "ca_coordinate_df = ca_coordinate_df.drop('ca_coordinate', axis=1)\n",
    "ca_coordinate_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "63b032f8",
   "metadata": {},
   "outputs": [],
   "source": [
    "ca_coordinate_df['cluster_name'] = (\n",
    "    'CDR-'\n",
    "    + ca_coordinate_df['chain_type'].map(lambda chain_type: 'A' if chain_type == 'alpha_chain' else 'B')\n",
    "    + ca_coordinate_df['cdr'].apply(str)\n",
    "    + ' - Cluster '\n",
    "    + ca_coordinate_df['cluster']\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e22d3fe8",
   "metadata": {},
   "outputs": [],
   "source": [
    "for cluster_name, cluster_df in ca_coordinate_df.groupby('cluster_name'):\n",
    "    fig = px.line_3d()\n",
    "\n",
    "    cluster_df = ca_coordinate_df.query('cluster_name == @cluster_name')\n",
    "    for _, cdr_loop in cluster_df.groupby('name'):\n",
    "        fig.add_scatter3d(x=cdr_loop['ca_coordinate_x'],\n",
    "                          y=cdr_loop['ca_coordinate_y'],\n",
    "                          z=cdr_loop['ca_coordinate_z'],\n",
    "                          mode='lines',\n",
    "                          line=dict(color='green'),\n",
    "                          showlegend=False)\n",
    "\n",
    "    fig.update_layout(title=cluster_name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "12684cdc",
   "metadata": {},
   "outputs": [
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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,q=e.arrowcolor,H=e.arrowside,G=O.append(\"g\").style({opacity:u.opacity(q)}).classed(\"annotation-arrow-g\",!0),W=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(u.stroke,u.rgb(q));if(g(W,H,e),k.annotationPosition&&W.node().parentNode&&!a){var Y=l,X=f;if(e.standoff){var Z=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));Y+=e.standoff*(h-l)/Z,X+=e.standoff*(p-f)/Z}var K,J,$=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-Y)+\",\"+(p-X),transform:s(Y,X)}).style(\"stroke-width\",V+6+\"px\").call(u.stroke,\"rgba(0,0,0,0)\").call(u.fill,\"rgba(0,0,0,0)\");d.init({element:$.node(),gd:t,prepFn:function(){var t=c.getTranslate(R);K=t.x,J=t.y,y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(K,J),i=n[0]+t,a=n[1]+r;R.call(c.setTranslate,i,a),S(\"x\",m(y,t,\"x\",T,e)),S(\"y\",m(x,r,\"y\",T,e)),e.axref===e.xref&&S(\"ax\",m(y,t,\"ax\",T,e)),e.ayref===e.yref&&S(\"ay\",m(x,r,\"ay\",T,e)),G.attr(\"transform\",s(t,r)),I.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)}})}}};e.showarrow&&At(0,0),z&&d.init({element:R.node(),gd:t,prepFn:function(){kt=I.attr(\"transform\")},moveFn:function(t,r){var n=\"pointer\";if(e.showarrow)e.axref===e.xref?S(\"ax\",m(y,t,\"ax\",T,e)):S(\"ax\",e.ax+t),e.ayref===e.yref?S(\"ay\",m(x,r,\"ay\",T.w,e)):S(\"ay\",e.ay+r),At(t,r);else{if(a)return;var i,o;if(y)i=m(y,t,\"x\",T,e);else{var 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n=r(13916),i=r(67824).overrideAll,a=r(31780).templatedArray;t.exports=i(a(\"annotation\",{visible:n.visible,x:{valType:\"any\"},y:{valType:\"any\"},z:{valType:\"any\"},ax:{valType:\"number\"},ay:{valType:\"number\"},xanchor:n.xanchor,xshift:n.xshift,yanchor:n.yanchor,yshift:n.yshift,text:n.text,textangle:n.textangle,font:n.font,width:n.width,height:n.height,opacity:n.opacity,align:n.align,valign:n.valign,bgcolor:n.bgcolor,bordercolor:n.bordercolor,borderpad:n.borderpad,borderwidth:n.borderwidth,showarrow:n.showarrow,arrowcolor:n.arrowcolor,arrowhead:n.arrowhead,startarrowhead:n.startarrowhead,arrowside:n.arrowside,arrowsize:n.arrowsize,startarrowsize:n.startarrowsize,arrowwidth:n.arrowwidth,standoff:n.standoff,startstandoff:n.startstandoff,hovertext:n.hovertext,hoverlabel:n.hoverlabel,captureevents:n.captureevents}),\"calc\",\"from-root\")},42456:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460);function a(t,e){var r=e.fullSceneLayout.domain,a=e.fullLayout._size,o={pdata:null,type:\"linear\",autorange:!1,range:[-1/0,1/0]};t._xa={},n.extendFlat(t._xa,o),i.setConvert(t._xa),t._xa._offset=a.l+r.x[0]*a.w,t._xa.l2p=function(){return.5*(1+t._pdata[0]/t._pdata[3])*a.w*(r.x[1]-r.x[0])},t._ya={},n.extendFlat(t._ya,o),i.setConvert(t._ya),t._ya._offset=a.t+(1-r.y[1])*a.h,t._ya.l2p=function(){return.5*(1-t._pdata[1]/t._pdata[3])*a.h*(r.y[1]-r.y[0])}}t.exports=function(t){for(var e=t.fullSceneLayout.annotations,r=0;r<e.length;r++)a(e[r],t);t.fullLayout._infolayer.selectAll(\".annotation-\"+t.id).remove()}},52808:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460),a=r(51272),o=r(87192),s=r(45899);function l(t,e,r,a){function l(r,i){return n.coerce(t,e,s,r,i)}function u(t){var n=t+\"axis\",a={_fullLayout:{}};return a._fullLayout[n]=r[n],i.coercePosition(e,a,l,t,t,.5)}l(\"visible\")&&(o(t,e,a.fullLayout,l),u(\"x\"),u(\"y\"),u(\"z\"),n.noneOrAll(t,e,[\"x\",\"y\",\"z\"]),e.xref=\"x\",e.yref=\"y\",e.zref=\"z\",l(\"xanchor\"),l(\"yanchor\"),l(\"xshift\"),l(\"yshift\"),e.showarrow&&(e.axref=\"pixel\",e.ayref=\"pixel\",l(\"ax\",-10),l(\"ay\",-30),n.noneOrAll(t,e,[\"ax\",\"ay\"])))}t.exports=function(t,e,r){a(t,e,{name:\"annotations\",handleItemDefaults:l,fullLayout:r.fullLayout})}},71836:function(t,e,r){\"use strict\";var n=r(23816).drawRaw,i=r(94424),a=[\"x\",\"y\",\"z\"];t.exports=function(t){for(var e=t.fullSceneLayout,r=t.dataScale,o=e.annotations,s=0;s<o.length;s++){for(var l=o[s],u=!1,c=0;c<3;c++){var f=a[c],h=l[f],p=e[f+\"axis\"].r2fraction(h);if(p<0||p>1){u=!0;break}}u?t.fullLayout._infolayer.select(\".annotation-\"+t.id+'[data-index=\"'+s+'\"]').remove():(l._pdata=i(t.glplot.cameraParams,[e.xaxis.r2l(l.x)*r[0],e.yaxis.r2l(l.y)*r[1],e.zaxis.r2l(l.z)*r[2]]),n(t.graphDiv,l,s,t.id,l._xa,l._ya))}}},56864:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400);t.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:r(45899)}}},layoutAttributes:r(45899),handleDefaults:r(52808),includeBasePlot:function(t,e){var r=n.subplotsRegistry.gl3d;if(r)for(var a=r.attrRegex,o=Object.keys(t),s=0;s<o.length;s++){var l=o[s];a.test(l)&&(t[l].annotations||[]).length&&(i.pushUnique(e._basePlotModules,r),i.pushUnique(e._subplots.gl3d,l))}},convert:r(42456),draw:r(71836)}},54976:function(t,e,r){\"use 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a,l=t.select(\".\"+A.cbtitle),f=l.select(\"text\"),h=[-M/2,M/2],d=l.select(\".h\"+lt._id+\"title-math-group\").node(),v=15.6;if(f.node()&&(v=parseInt(f.node().style.fontSize,10)*w),d?(a=p.bBox(d),bt=a.width,(xt=a.height)>v&&(h[1]-=(xt-v)/2)):f.node()&&!f.classed(A.jsPlaceholder)&&(a=p.bBox(f.node()),bt=a.width,xt=a.height),o){if(xt){if(xt+=5,\"top\"===V)lt.domain[1]-=xt/B.h,h[1]*=-1;else{lt.domain[0]+=xt/B.h;var y=g.lineCount(f);h[1]+=(1-y)*v}l.attr(\"transform\",c(h[0],h[1])),lt.setScale()}}else bt&&(\"right\"===V&&(lt.domain[0]+=(bt+yt/2)/B.w),l.attr(\"transform\",c(h[0],h[1])),lt.setScale())}t.selectAll(\".\"+A.cbfills+\",.\"+A.cblines).attr(\"transform\",o?c(0,Math.round(B.h*(1-lt.domain[1]))):c(Math.round(B.w*lt.domain[0]),0)),mt.attr(\"transform\",o?c(0,Math.round(-B.t)):c(Math.round(-B.l),0));var m=t.select(\".\"+A.cbfills).selectAll(\"rect.\"+A.cbfill).attr(\"style\",\"\").data(X);m.enter().append(\"rect\").classed(A.cbfill,!0).attr(\"style\",\"\"),m.exit().remove();var 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rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=[],gt=[],yt={hLinePoint:null,vLinePoint:null},mt=!1;if(Array.isArray(e))for(M=\"array\",it=0;it<e.length;it++)(ot=t.calcdata[e[it].curveNumber||0])&&(st=ot[0].trace,\"skip\"!==ot[0].trace.hoverinfo&&(gt.push(ot),\"h\"===st.orientation&&(mt=!0)));else{var xt,bt,_t=t.calcdata.slice();for(_t.sort((function(t,e){return(t[0].trace.zorder||0)-(e[0].trace.zorder||0)})),at=0;at<_t.length;at++)ot=_t[at],\"skip\"!==(st=ot[0].trace).hoverinfo&&m.isTraceInSubplots(st,x)&&(gt.push(ot),\"h\"===st.orientation&&(mt=!0));if(l){if(!1===c.triggerHandler(t,\"plotly_beforehover\",e))return;var wt=l.getBoundingClientRect();xt=e.clientX-wt.left,bt=e.clientY-wt.top,b._calcInverseTransform(t);var Tt=o.apply3DTransform(b._invTransform)(xt,bt);if(xt=Tt[0],bt=Tt[1],xt<0||xt>Z[0]._length||bt<0||bt>K[0]._length)return v.unhoverRaw(t,e)}else xt=\"xpx\"in e?e.xpx:Z[0]._length/2,bt=\"ypx\"in e?e.ypx:K[0]._length/2;if(e.pointerX=xt+Z[0]._offset,e.pointerY=bt+K[0]._offset,rt=\"xval\"in e?m.flat(x,e.xval):m.p2c(Z,xt),nt=\"yval\"in e?m.flat(x,e.yval):m.p2c(K,bt),!i(rt[0])||!i(nt[0]))return o.warn(\"Fx.hover failed\",e,t),v.unhoverRaw(t,e)}var kt=1/0;function At(r,n){for(at=0;at<gt.length;at++)if((ot=gt[at])&&ot[0]&&ot[0].trace&&!0===(st=ot[0].trace).visible&&0!==st._length&&-1===[\"carpet\",\"contourcarpet\"].indexOf(st._module.name)){if(ct=M,m.isUnifiedHover(ct)&&(ct=ct.charAt(0)),\"splom\"===st.type?lt=x[ut=0]:(lt=m.getSubplot(st),ut=x.indexOf(lt)),pt={cd:ot,trace:st,xa:Z[ut],ya:K[ut],maxHoverDistance:tt,maxSpikeDistance:et,index:!1,distance:Math.min(kt,tt),spikeDistance:1/0,xSpike:void 0,ySpike:void 0,color:d.defaultLine,name:st.name,x0:void 0,x1:void 0,y0:void 0,y1:void 0,xLabelVal:void 0,yLabelVal:void 0,zLabelVal:void 0,text:void 0},b[lt]&&(pt.subplot=b[lt]._subplot),b._splomScenes&&b._splomScenes[st.uid]&&(pt.scene=b._splomScenes[st.uid]),\"array\"===ct){var a=e[at];\"pointNumber\"in a?(pt.index=a.pointNumber,ct=\"closest\"):(ct=\"\",\"xval\"in a&&(ft=a.xval,ct=\"x\"),\"yval\"in a&&(ht=a.yval,ct=ct?\"closest\":\"y\"))}else void 0!==r&&void 0!==n?(ft=r,ht=n):(ft=rt[ut],ht=nt[ut]);if(dt=vt.length,0!==tt)if(st._module&&st._module.hoverPoints){var s=st._module.hoverPoints(pt,ft,ht,ct,{finiteRange:!0,hoverLayer:b._hoverlayer,hoversubplots:_,gd:t});if(s)for(var l,u=0;u<s.length;u++)l=s[u],i(l.x0)&&i(l.y0)&&vt.push(B(l,M))}else o.log(\"Unrecognized trace type in hover:\",st);if(\"closest\"===M&&vt.length>dt&&(vt.splice(0,dt),kt=vt[0].distance),A&&0!==et&&0===vt.length){pt.distance=et,pt.index=!1;var c=st._module.hoverPoints(pt,ft,ht,\"closest\",{hoverLayer:b._hoverlayer});if(c&&(c=c.filter((function(t){return t.spikeDistance<=et}))),c&&c.length){var f,h=c.filter((function(t){return t.xa.showspikes&&\"hovered data\"!==t.xa.spikesnap}));if(h.length){var p=h[0];i(p.x0)&&i(p.y0)&&(f=St(p),(!yt.vLinePoint||yt.vLinePoint.spikeDistance>f.spikeDistance)&&(yt.vLinePoint=f))}var v=c.filter((function(t){return t.ya.showspikes&&\"hovered data\"!==t.ya.spikesnap}));if(v.length){var g=v[0];i(g.x0)&&i(g.y0)&&(f=St(g),(!yt.hLinePoint||yt.hLinePoint.spikeDistance>f.spikeDistance)&&(yt.hLinePoint=f))}}}}}function Mt(t,e,r){for(var n,i=null,a=1/0,o=0;o<t.length;o++)f&&f._id!==t[o].xa._id||p&&p._id!==t[o].ya._id||(n=t[o].spikeDistance,r&&0===o&&(n=-1/0),n<=a&&n<=e&&(i=t[o],a=n));return i}function St(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}At();var Et={fullLayout:b,container:b._hoverlayer,event:e},Lt=t._spikepoints,Ct={vLinePoint:yt.vLinePoint,hLinePoint:yt.hLinePoint};t._spikepoints=Ct;var Pt=function(){var t=vt.filter((function(t){return f&&f._id===t.xa._id&&p&&p._id===t.ya._id})),e=vt.filter((function(t){return!(f&&f._id===t.xa._id&&p&&p._id===t.ya._id)}));t.sort(P),e.sort(P),vt=function(t,e){for(var r=e.charAt(0),n=[],i=[],a=[],o=0;o<t.length;o++){var s=t[o];y.traceIs(s.trace,\"bar-like\")||y.traceIs(s.trace,\"box-violin\")?a.push(s):s.trace[r+\"period\"]?i.push(s):n.push(s)}return n.concat(i).concat(a)}(vt=t.concat(e),M)};Pt();var Ot=M.charAt(0),It=(\"x\"===Ot||\"y\"===Ot)&&vt[0]&&C[vt[0].trace.type];if(A&&0!==et&&0!==vt.length){var zt=Mt(vt.filter((function(t){return t.ya.showspikes})),et,It);yt.hLinePoint=St(zt);var Dt=Mt(vt.filter((function(t){return t.xa.showspikes})),et,It);yt.vLinePoint=St(Dt)}if(0===vt.length){var Rt=v.unhoverRaw(t,e);return!A||null===yt.hLinePoint&&null===yt.vLinePoint||j(Lt)&&N(t,yt,Et),Rt}if(A&&j(Lt)&&N(t,yt,Et),m.isXYhover(ct)&&0!==vt[0].length&&\"splom\"!==vt[0].trace.type){var Ft=vt[0],Bt=(vt=L[Ft.trace.type]?vt.filter((function(t){return t.trace.index===Ft.trace.index})):[Ft]).length;At(V(\"x\",Ft,b),V(\"y\",Ft,b));var Nt,jt=[],Ut={},Vt=0,qt=function(t){var e=L[t.trace.type]?O(t):t.trace.index;if(Ut[e]){var r=Ut[e]-1,n=jt[r];r>0&&Math.abs(t.distance)<Math.abs(n.distance)&&(jt[r]=t)}else Vt++,Ut[e]=Vt,jt.push(t)};for(Nt=0;Nt<Bt;Nt++)qt(vt[Nt]);for(Nt=vt.length-1;Nt>Bt-1;Nt--)qt(vt[Nt]);vt=jt,Pt()}var Ht=t._hoverdata,Gt=[],Wt=q(t),Yt=H(t);for(it=0;it<vt.length;it++){var Xt=vt[it],Zt=m.makeEventData(Xt,Xt.trace,Xt.cd);if(!1!==Xt.hovertemplate){var Kt=!1;Xt.cd[Xt.index]&&Xt.cd[Xt.index].ht&&(Kt=Xt.cd[Xt.index].ht),Xt.hovertemplate=Kt||Xt.trace.hovertemplate||!1}if(Xt.xa&&Xt.ya){var Jt=Xt.x0+Xt.xa._offset,$t=Xt.x1+Xt.xa._offset,Qt=Xt.y0+Xt.ya._offset,te=Xt.y1+Xt.ya._offset,ee=Math.min(Jt,$t),re=Math.max(Jt,$t),ne=Math.min(Qt,te),ie=Math.max(Qt,te);Zt.bbox={x0:ee+Yt,x1:re+Yt,y0:ne+Wt,y1:ie+Wt}}Xt.eventData=[Zt],Gt.push(Zt)}t._hoverdata=Gt;var ae=\"y\"===M&&(gt.length>1||vt.length>1)||\"closest\"===M&&mt&&vt.length>1,oe=d.combine(b.plot_bgcolor||d.background,b.paper_bgcolor),se=z(vt,{gd:t,hovermode:M,rotateLabels:ae,bgColor:oe,container:b._hoverlayer,outerContainer:b._paper.node(),commonLabelOpts:b.hoverlabel,hoverdistance:b.hoverdistance}),le=se.hoverLabels;if(m.isUnifiedHover(M)||(function(t,e,r,n){var i,a,o,s,l,u,c,f=e?\"xa\":\"ya\",h=e?\"ya\":\"xa\",p=0,d=1,v=t.size(),g=new Array(v),y=0,m=n.minX,x=n.maxX,b=n.minY,_=n.maxY,w=function(t){return t*r._invScaleX},T=function(t){return t*r._invScaleY};function A(t){var e=t[0],r=t[t.length-1];if(a=e.pmin-e.pos-e.dp+e.size,o=r.pos+r.dp+r.size-e.pmax,a>.01){for(l=t.length-1;l>=0;l--)t[l].dp+=a;i=!1}if(!(o<.01)){if(a<-.01){for(l=t.length-1;l>=0;l--)t[l].dp-=o;i=!1}if(i){var n=0;for(s=0;s<t.length;s++)(u=t[s]).pos+u.dp+u.size>e.pmax&&n++;for(s=t.length-1;s>=0&&!(n<=0);s--)(u=t[s]).pos>e.pmax-1&&(u.del=!0,n--);for(s=0;s<t.length&&!(n<=0);s++)if((u=t[s]).pos<e.pmin+1)for(u.del=!0,n--,o=2*u.size,l=t.length-1;l>=0;l--)t[l].dp-=o;for(s=t.length-1;s>=0&&!(n<=0);s--)(u=t[s]).pos+u.dp+u.size>e.pmax&&(u.del=!0,n--)}}}for(t.each((function(t){var n=t[f],i=t[h],a=\"x\"===n._id.charAt(0),o=n.range;0===y&&o&&o[0]>o[1]!==a&&(d=-1);var s=0,l=a?r.width:r.height;if(\"x\"===r.hovermode||\"y\"===r.hovermode){var u,c,p=R(t,e),v=t.anchor,A=\"end\"===v?-1:1;if(\"middle\"===v)c=(u=t.crossPos+(a?T(p.y-t.by/2):w(t.bx/2+t.tx2width/2)))+(a?T(t.by):w(t.bx));else if(a)c=(u=t.crossPos+T(S+p.y)-T(t.by/2-S))+T(t.by);else{var M=w(A*S+p.x),E=M+w(A*t.bx);u=t.crossPos+Math.min(M,E),c=t.crossPos+Math.max(M,E)}a?void 0!==b&&void 0!==_&&Math.min(c,_)-Math.max(u,b)>1&&(\"left\"===i.side?(s=i._mainLinePosition,l=r.width):l=i._mainLinePosition):void 0!==m&&void 0!==x&&Math.min(c,x)-Math.max(u,m)>1&&(\"top\"===i.side?(s=i._mainLinePosition,l=r.height):l=i._mainLinePosition)}g[y++]=[{datum:t,traceIndex:t.trace.index,dp:0,pos:t.pos,posref:t.posref,size:t.by*(a?k:1)/2,pmin:s,pmax:l}]})),g.sort((function(t,e){return t[0].posref-e[0].posref||d*(e[0].traceIndex-t[0].traceIndex)}));!i&&p<=v;){for(p++,i=!0,s=0;s<g.length-1;){var M=g[s],E=g[s+1],L=M[M.length-1],C=E[0];if((a=L.pos+L.dp+L.size-C.pos-C.dp+C.size)>.01&&L.pmin===C.pmin&&L.pmax===C.pmax){for(l=E.length-1;l>=0;l--)E[l].dp+=a;for(M.push.apply(M,E),g.splice(s+1,1),c=0,l=M.length-1;l>=0;l--)c+=M[l].dp;for(o=c/M.length,l=M.length-1;l>=0;l--)M[l].dp-=o;i=!1}else s++}g.forEach(A)}for(s=g.length-1;s>=0;s--){var P=g[s];for(l=P.length-1;l>=0;l--){var O=P[l],I=O.datum;I.offset=O.dp,I.del=O.del}}}(le,ae,b,se.commonLabelBoundingBox),F(le,ae,b._invScaleX,b._invScaleY)),l&&l.tagName){var ue=y.getComponentMethod(\"annotations\",\"hasClickToShow\")(t,Gt);h(n.select(l),ue?\"pointer\":\"\")}l&&!a&&function(t,e,r){if(!r||r.length!==t._hoverdata.length)return!0;for(var n=r.length-1;n>=0;n--){var i=r[n],a=t._hoverdata[n];if(i.curveNumber!==a.curveNumber||String(i.pointNumber)!==String(a.pointNumber)||String(i.pointNumbers)!==String(a.pointNumbers))return!0}return!1}(t,0,Ht)&&(Ht&&t.emit(\"plotly_unhover\",{event:e,points:Ht}),t.emit(\"plotly_hover\",{event:e,points:t._hoverdata,xaxes:Z,yaxes:K,xvals:rt,yvals:nt}))}(t,e,r,a,l)}))},e.loneHover=function(t,e){var r=!0;Array.isArray(t)||(r=!1,t=[t]);var i=e.gd,a=q(i),o=H(i),s=z(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,u=t.eventData;if(u){var c=Math.min(r,n),f=Math.max(r,n),h=Math.min(s,l),p=Math.max(s,l),v=t.trace;if(y.traceIs(v,\"gl3d\")){var g=i._fullLayout[v.scene]._scene.container,m=g.offsetLeft,x=g.offsetTop;c+=m,f+=m,h+=x,p+=x}u.bbox={x0:c+o,x1:f+o,y0:h+a,y1:p+a},e.inOut_bbox&&e.inOut_bbox.push(u.bbox)}else u=!1;return{color:t.color||d.defaultLine,x0:t.x0||t.x||0,x1:t.x1||t.x||0,y0:t.y0||t.y||0,y1:t.y1||t.y||0,xLabel:t.xLabel,yLabel:t.yLabel,zLabel:t.zLabel,text:t.text,name:t.name,idealAlign:t.idealAlign,borderColor:t.borderColor,fontFamily:t.fontFamily,fontSize:t.fontSize,fontColor:t.fontColor,fontWeight:t.fontWeight,fontStyle:t.fontStyle,fontVariant:t.fontVariant,nameLength:t.nameLength,textAlign:t.textAlign,trace:t.trace||{index:0,hoverinfo:\"\"},xa:{_offset:0},ya:{_offset:0},index:0,hovertemplate:t.hovertemplate||!1,hovertemplateLabels:t.hovertemplateLabels||!1,eventData:u}})),{gd:i,hovermode:\"closest\",rotateLabels:!1,bgColor:e.bgColor||d.background,container:n.select(e.container),outerContainer:e.outerContainer||e.container}).hoverLabels,l=0,u=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&&(u=t.offset)})).each((function(t){t.offset-=u})),F(s,!1,i._fullLayout._invScaleX,i._fullLayout._invScaleY),r?s:s.node()};var I=/<extra>([\\s\\S]*)<\\/extra>/;function z(t,e){var r=e.gd,i=r._fullLayout,a=e.hovermode,s=e.rotateLabels,c=e.bgColor,h=e.container,v=e.outerContainer,g=e.commonLabelOpts||{};if(0===t.length)return[[]];var T=e.fontFamily||x.HOVERFONT,k=e.fontSize||x.HOVERFONTSIZE,A=e.fontWeight||i.font.weight,M=e.fontStyle||i.font.style,L=e.fontVariant||i.font.variant,C=t[0],P=C.xa,I=C.ya,z=a.charAt(0),R=z+\"Label\",F=C[R];if(void 0===F&&\"multicategory\"===P.type)for(var B=0;B<t.length&&void 0===(F=t[B][R]);B++);var N=G(r,v),j=N.top,U=N.width,V=N.height,q=void 0!==F&&C.distance<=e.hoverdistance&&(\"x\"===a||\"y\"===a);if(q){var H,W,Y=!0;for(H=0;H<t.length;H++)if(Y&&void 0===t[H].zLabel&&(Y=!1),W=t[H].hoverinfo||t[H].trace.hoverinfo){var X=Array.isArray(W)?W:W.split(\"+\");if(-1===X.indexOf(\"all\")&&-1===X.indexOf(a)){q=!1;break}}Y&&(q=!1)}var Z=h.selectAll(\"g.axistext\").data(q?[0]:[]);Z.enter().append(\"g\").classed(\"axistext\",!0),Z.exit().remove();var K={minX:0,maxX:0,minY:0,maxY:0};if(Z.each((function(){var t=n.select(this),e=o.ensureSingle(t,\"path\",\"\",(function(t){t.style({\"stroke-width\":\"1px\"})})),s=o.ensureSingle(t,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),u=g.bgcolor||d.defaultLine,c=g.bordercolor||d.contrast(u),h=d.contrast(u),v={weight:g.font.weight||A,style:g.font.style||M,variant:g.font.variant||L,family:g.font.family||T,size:g.font.size||k,color:g.font.color||h};e.style({fill:u,stroke:c}),s.text(F).call(p.font,v).call(f.positionText,0,0).call(f.convertToTspans,r),t.attr(\"transform\",\"\");var y,m,x=G(r,s.node());if(\"x\"===a){var b=\"top\"===P.side?\"-\":\"\";s.attr(\"text-anchor\",\"middle\").call(f.positionText,0,\"top\"===P.side?j-x.bottom-S-E:j-x.top+S+E),y=P._offset+(C.x0+C.x1)/2,m=I._offset+(\"top\"===P.side?0:I._length);var _=x.width/2+E,w=y;y<_?w=_:y>i.width-_&&(w=i.width-_),e.attr(\"d\",\"M\"+(y-w)+\",0L\"+(y-w+S)+\",\"+b+S+\"H\"+_+\"v\"+b+(2*E+x.height)+\"H\"+-_+\"V\"+b+S+\"H\"+(y-w-S)+\"Z\"),y=w,K.minX=y-_,K.maxX=y+_,\"top\"===P.side?(K.minY=m-(2*E+x.height),K.maxY=m-E):(K.minY=m+E,K.maxY=m+(2*E+x.height))}else{var O,z,D;\"right\"===I.side?(O=\"start\",z=1,D=\"\",y=P._offset+P._length):(O=\"end\",z=-1,D=\"-\",y=P._offset),m=I._offset+(C.y0+C.y1)/2,s.attr(\"text-anchor\",O),e.attr(\"d\",\"M0,0L\"+D+S+\",\"+S+\"V\"+(E+x.height/2)+\"h\"+D+(2*E+x.width)+\"V-\"+(E+x.height/2)+\"H\"+D+S+\"V-\"+S+\"Z\"),K.minY=m-(E+x.height/2),K.maxY=m+(E+x.height/2),\"right\"===I.side?(K.minX=y+S,K.maxX=y+S+(2*E+x.width)):(K.minX=y-S-(2*E+x.width),K.maxX=y-S);var R,B=x.height/2,N=j-x.top-B,U=\"clip\"+i._uid+\"commonlabel\"+I._id;if(y<x.width+2*E+S){R=\"M-\"+(S+E)+\"-\"+B+\"h-\"+(x.width-E)+\"V\"+B+\"h\"+(x.width-E)+\"Z\";var V=x.width-y+E;f.positionText(s,V,N),\"end\"===O&&s.selectAll(\"tspan\").each((function(){var t=n.select(this),e=p.tester.append(\"text\").text(t.text()).call(p.font,v),i=G(r,e.node());Math.round(i.width)<Math.round(x.width)&&t.attr(\"x\",V-i.width),e.remove()}))}else f.positionText(s,z*(E+S),N),R=null;var q=i._topclips.selectAll(\"#\"+U).data(R?[0]:[]);q.enter().append(\"clipPath\").attr(\"id\",U).append(\"path\"),q.exit().remove(),q.select(\"path\").attr(\"d\",R),p.setClipUrl(s,R?U:null,r)}t.attr(\"transform\",l(y,m))})),m.isUnifiedHover(a)){h.selectAll(\"g.hovertext\").remove();var J=t.filter((function(t){return\"none\"!==t.hoverinfo}));if(0===J.length)return[];var $=i.hoverlabel,Q=$.font,tt={showlegend:!0,legend:{title:{text:F,font:Q},font:Q,bgcolor:$.bgcolor,bordercolor:$.bordercolor,borderwidth:1,tracegroupgap:7,traceorder:i.legend?i.legend.traceorder:void 0,orientation:\"v\"}},et={font:Q};b(tt,et,r._fullData);var rt=et.legend;rt.entries=[];for(var nt=0;nt<J.length;nt++){var it=J[nt];if(\"none\"!==it.hoverinfo){var at=D(it,!0,a,i,F),ot=at[0],st=at[1];it.name=st,it.text=\"\"!==st?st+\" : \"+ot:ot;var lt=it.cd[it.index];lt&&(lt.mc&&(it.mc=lt.mc),lt.mcc&&(it.mc=lt.mcc),lt.mlc&&(it.mlc=lt.mlc),lt.mlcc&&(it.mlc=lt.mlcc),lt.mlw&&(it.mlw=lt.mlw),lt.mrc&&(it.mrc=lt.mrc),lt.dir&&(it.dir=lt.dir)),it._distinct=!0,rt.entries.push([it])}}rt.entries.sort((function(t,e){return t[0].trace.index-e[0].trace.index})),rt.layer=h,rt._inHover=!0,rt._groupTitleFont=$.grouptitlefont,_(r,rt);var 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0),-1===p.indexOf(\"name\")&&(t.name=void 0)),t}function N(t,e,r){var n,i,o=r.container,s=r.fullLayout,l=s._size,u=r.event,c=!!e.hLinePoint,f=!!e.vLinePoint;if(o.selectAll(\".spikeline\").remove(),f||c){var h=d.combine(s.plot_bgcolor,s.paper_bgcolor);if(c){var v,y,m=e.hLinePoint;n=m&&m.xa,\"cursor\"===(i=m&&m.ya).spikesnap?(v=u.pointerX,y=u.pointerY):(v=n._offset+m.x,y=i._offset+m.y);var x,b,_=a.readability(m.color,h)<1.5?d.contrast(h):m.color,w=i.spikemode,T=i.spikethickness,k=i.spikecolor||_,A=g.getPxPosition(t,i);if(-1!==w.indexOf(\"toaxis\")||-1!==w.indexOf(\"across\")){if(-1!==w.indexOf(\"toaxis\")&&(x=A,b=v),-1!==w.indexOf(\"across\")){var 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n=r(33428),i=r(3400),a=r(86476),o=r(10624),s=r(65460),l=r(83292);t.exports={moduleType:\"component\",name:\"fx\",constants:r(92456),schema:{layout:s},attributes:r(55756),layoutAttributes:s,supplyLayoutGlobalDefaults:r(81976),supplyDefaults:r(95448),supplyLayoutDefaults:r(88336),calc:r(55056),getDistanceFunction:o.getDistanceFunction,getClosest:o.getClosest,inbox:o.inbox,quadrature:o.quadrature,appendArrayPointValue:o.appendArrayPointValue,castHoverOption:function(t,e,r){return i.castOption(t,e,\"hoverlabel.\"+r)},castHoverinfo:function(t,e,r){return i.castOption(t,r,\"hoverinfo\",(function(r){return i.coerceHoverinfo({hoverinfo:r},{_module:t._module},e)}))},hover:l.hover,unhover:a.unhover,loneHover:l.loneHover,loneUnhover:function(t){var e=i.isD3Selection(t)?t:n.select(t);e.selectAll(\"g.hovertext\").remove(),e.selectAll(\".spikeline\").remove()},click:r(62376)}},65460:function(t,e,r){\"use strict\";var 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V,q=i.ensureSingle(N,\"g\",\"scrollbox\"),H=h.title;h._titleWidth=0,h._titleHeight=0,H.text?((V=i.ensureSingle(q,\"text\",w+\"titletext\")).attr(\"text-anchor\",\"start\").call(u.font,H.font).text(H.text),L(V,q,t,h,_)):q.selectAll(\".\"+w+\"titletext\").remove();var G=i.ensureSingle(N,\"rect\",\"scrollbar\",(function(t){t.attr(p.scrollBarEnterAttrs).call(c.fill,p.scrollBarColor)})),W=q.selectAll(\"g.groups\").data(S);W.enter().append(\"g\").attr(\"class\",\"groups\"),W.exit().remove();var Y=W.selectAll(\"g.traces\").data(i.identity);Y.enter().append(\"g\").attr(\"class\",\"traces\"),Y.exit().remove(),Y.style(\"opacity\",(function(t){var e=t[0].trace;return o.traceIs(e,\"pie-like\")?-1!==B.indexOf(t[0].label)?.5:1:\"legendonly\"===e.visible?.5:1})).each((function(){n.select(this).call(M,t,h)})).call(x,t,h).each((function(){T||n.select(this).call(E,t,w)})),i.syncOrAsync([a.previousPromises,function(){return function(t,e,r,i){var a=t._fullLayout,o=O(i);i||(i=a[o]);var 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O=S,I=E;S=k?i.constrain(S,0,d.width-h._width):O,E=M?i.constrain(E,0,d.height-h._effHeight):I,S!==O&&i.log(\"Constrain \"+w+\".x to make legend fit inside graph\"),E!==I&&i.log(\"Constrain \"+w+\".y to make legend fit inside graph\")}u.setTranslate(N,S,E)}if(G.on(\".drag\",null),N.on(\"wheel\",null),T||h._height<=h._maxHeight||t._context.staticPlot){var z=h._effHeight;T&&(z=h._height),U.attr({width:h._width-_,height:z-_,x:_/2,y:_/2}),u.setTranslate(q,0,0),j.select(\"rect\").attr({width:h._width-2*_,height:z-2*_,x:_,y:_}),u.setClipUrl(q,r,t),u.setRect(G,0,0,0,0),delete h._scrollY}else{var 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t=n.event.sourceEvent;\"touchstart\"===t.type&&(D=t.changedTouches[0].clientY,F=Z)})).on(\"drag\",(function(){var t=n.event.sourceEvent;\"touchmove\"===t.type&&(R=t.changedTouches[0].clientY,Z=function(t,e,r){var n=(e-r)/X+t;return i.constrain(n,0,Y)}(F,D,R),$(Z,B,X))}));q.call(J)}function $(e,r,n){h._scrollY=t._fullLayout[w]._scrollY=e,u.setTranslate(q,0,-e),u.setRect(G,h._width,p.scrollBarMargin+e*n,p.scrollBarWidth,r),j.select(\"rect\").attr(\"y\",_+e)}t._context.edits.legendPosition&&(N.classed(\"cursor-move\",!0),l.init({element:N.node(),gd:t,prepFn:function(){var t=u.getTranslate(N);m=t.x,x=t.y},moveFn:function(t,r){var n=m+t,i=x+r;u.setTranslate(N,n,i),e=l.align(n,h._width,b.l,b.l+b.w,h.xanchor),c=l.align(i+h._height,-h._height,b.t+b.h,b.t,h.yanchor)},doneFn:function(){if(void 0!==e&&void 0!==c){var r={};r[w+\".x\"]=e,r[w+\".y\"]=c,o.call(\"_guiRelayout\",t,r)}},clickFn:function(e,r){var n=s.selectAll(\"g.traces\").filter((function(){var t=this.getBoundingClientRect();return r.clientX>=t.left&&r.clientX<=t.right&&r.clientY>=t.top&&r.clientY<=t.bottom}));n.size()>0&&A(t,N,n,e,r)}}))}],t)}}function k(t,e,r){var n=t[0],i=n.width,a=e.entrywidthmode,o=n.trace.legendwidth||e.entrywidth;return\"fraction\"===a?e._maxWidth*o:r+(o||i)}function A(t,e,r,n,i){var a=r.data()[0][0].trace,l={event:i,node:r.node(),curveNumber:a.index,expandedIndex:a._expandedIndex,data:t.data,layout:t.layout,frames:t._transitionData._frames,config:t._context,fullData:t._fullData,fullLayout:t._fullLayout};a._group&&(l.group=a._group),o.traceIs(a,\"pie-like\")&&(l.label=r.datum()[0].label);var u=s.triggerHandler(t,\"plotly_legendclick\",l);if(1===n){if(!1===u)return;e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay)}else 2===n&&(e._clickTimeout&&clearTimeout(e._clickTimeout),t._legendMouseDownTime=0,!1!==s.triggerHandler(t,\"plotly_legenddoubleclick\",l)&&!1!==u&&h(r,t,n))}function M(t,e,r){var n,a,s=O(r),l=t.data()[0][0],c=l.trace,h=o.traceIs(c,\"pie-like\"),d=!r._inHover&&e._context.edits.legendText&&!h,v=r._maxNameLength;l.groupTitle?(n=l.groupTitle.text,a=l.groupTitle.font):(a=r.font,r.entries?n=l.text:(n=h?l.label:c.name,c._meta&&(n=i.templateString(n,c._meta))));var g=i.ensureSingle(t,\"text\",s+\"text\");g.attr(\"text-anchor\",\"start\").call(u.font,a).text(d?S(n,v):n);var y=r.indentation+r.itemwidth+2*p.itemGap;f.positionText(g,y,0),d?g.call(f.makeEditable,{gd:e,text:n}).call(L,t,e,r).on(\"edit\",(function(n){this.text(S(n,v)).call(L,t,e,r);var a=l.trace._fullInput||{},s={};if(o.hasTransform(a,\"groupby\")){var u=o.getTransformIndices(a,\"groupby\"),f=u[u.length-1],h=i.keyedContainer(a,\"transforms[\"+f+\"].styles\",\"target\",\"value.name\");h.set(l.trace._group,n),s=h.constructUpdate()}else s.name=n;return a._isShape?o.call(\"_guiRelayout\",e,\"shapes[\"+c.index+\"].name\",s.name):o.call(\"_guiRestyle\",e,s,c.index)})):L(g,t,e,r)}function S(t,e){var r=Math.max(4,e);if(t&&t.trim().length>=r/2)return t;for(var n=r-(t=t||\"\").length;n>0;n--)t+=\" \";return t}function E(t,e,r){var a,o=e._context.doubleClickDelay,s=1,l=i.ensureSingle(t,\"rect\",r+\"toggle\",(function(t){e._context.staticPlot||t.style(\"cursor\",\"pointer\").attr(\"pointer-events\",\"all\"),t.call(c.fill,\"rgba(0,0,0,0)\")}));e._context.staticPlot||(l.on(\"mousedown\",(function(){(a=(new Date).getTime())-e._legendMouseDownTime<o?s+=1:(s=1,e._legendMouseDownTime=a)})),l.on(\"mouseup\",(function(){if(!e._dragged&&!e._editing){var i=e._fullLayout[r];(new Date).getTime()-e._legendMouseDownTime>o&&(s=Math.max(s-1,1)),A(e,i,t,s,n.event)}})))}function L(t,e,r,n,i){n._inHover&&t.attr(\"data-notex\",!0),f.convertToTspans(t,r,(function(){!function(t,e,r,n){var i=t.data()[0][0];if(r._inHover||!i||i.trace.showlegend){var a=t.select(\"g[class*=math-group]\"),o=a.node(),s=O(r);r||(r=e._fullLayout[s]);var l,c,h=r.borderwidth,d=(n===_?r.title.font:i.groupTitle?i.groupTitle.font:r.font).size*v;if(o){var g=u.bBox(o);l=g.height,c=g.width,n===_?u.setTranslate(a,h,h+.75*l):u.setTranslate(a,0,.25*l)}else{var y=\".\"+s+(n===_?\"title\":\"\")+\"text\",m=t.select(y),x=f.lineCount(m),b=m.node();if(l=d*x,c=b?u.bBox(b).width:0,n===_)\"left\"===r.title.side&&(c+=2*p.itemGap),f.positionText(m,h+p.titlePad,h+d);else{var w=2*p.itemGap+r.indentation+r.itemwidth;i.groupTitle&&(w=p.itemGap,c-=r.indentation+r.itemwidth),f.positionText(m,w,-d*((x-1)/2-.3))}}n===_?(r._titleWidth=c,r._titleHeight=l):(i.lineHeight=d,i.height=Math.max(l,16)+3,i.width=c)}else t.remove()}(e,r,n,i)}))}function C(t){return i.isRightAnchor(t)?\"right\":i.isCenterAnchor(t)?\"center\":\"left\"}function P(t){return i.isBottomAnchor(t)?\"bottom\":i.isMiddleAnchor(t)?\"middle\":\"top\"}function O(t){return t._id||\"legend\"}t.exports=function(t,e){if(e)T(t,e);else{var r=t._fullLayout,i=r._legends;r._infolayer.selectAll('[class^=\"legend\"]').each((function(){var t=n.select(this),e=t.attr(\"class\").split(\" \")[0];e.match(w)&&-1===i.indexOf(e)&&t.remove()}));for(var a=0;a<i.length;a++){var o=i[a];T(t,t._fullLayout[o])}}}},35456:function(t,e,r){\"use strict\";var n=r(24040),i=r(42451);t.exports=function(t,e,r){var a,o,s=e._inHover,l=i.isGrouped(e),u=i.isReversed(e),c={},f=[],h=!1,p={},d=0,v=0;function g(t,n,a){if(!1!==e.visible&&(!r||t===e._id))if(\"\"!==n&&i.isGrouped(e))-1===f.indexOf(n)?(f.push(n),h=!0,c[n]=[a]):c[n].push(a);else{var o=\"~~i\"+d;f.push(o),c[o]=[a],d++}}for(a=0;a<t.length;a++){var y=t[a],m=y[0],x=m.trace,b=x.legend,_=x.legendgroup;if(s||x.visible&&x.showlegend)if(n.traceIs(x,\"pie-like\"))for(p[_]||(p[_]={}),o=0;o<y.length;o++){var w=y[o].label;p[_][w]||(g(b,_,{label:w,color:y[o].color,i:y[o].i,trace:x,pts:y[o].pts}),p[_][w]=!0,v=Math.max(v,(w||\"\").length))}else 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t.showlegend})),y=v.concat(g),m=d.trace;m._isShape&&(m=m._fullInput);var x,b,_,w,T,k=m.legendgroup,A={},M=[],S=[],E=[],L=(s.shapes||[]).map((function(t){return t._input})),C=!1,P=m.legend,O=m._fullInput;if(O&&O._isShape||!n.traceIs(m,\"pie-like\")){var I,z=k&&k.length,D=[];if(z)for(x=0;x<y.length;x++)(I=y[x]).visible&&I.legendgroup===k&&D.push(x);if(\"toggle\"===l){var R;switch(m.visible){case!0:R=\"legendonly\";break;case!1:R=!1;break;case\"legendonly\":R=!0}if(z)if(h)for(x=0;x<y.length;x++){var F=y[x];!1!==F.visible&&F.legendgroup===k&&tt(F,R)}else tt(m,R);else tt(m,R)}else if(\"toggleothers\"===l){var 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r=e.currentTarget,n=r._previousVal,i=t._fullLayout,a=i._subplots.gl3d||[],o=[\"xaxis\",\"yaxis\",\"zaxis\"],s={},l={};if(n)l=n,r._previousVal=null;else{for(var u=0;u<a.length;u++){var c=a[u],f=i[c],h=c+\".hovermode\";s[h]=f.hovermode,l[h]=!1;for(var p=0;p<3;p++){var d=o[p],v=c+\".\"+d+\".showspikes\";l[v]=!1,s[v]=f[d].showspikes}}r._previousVal=s}return l}function v(t,e){for(var r=e.currentTarget,i=r.getAttribute(\"data-attr\"),a=r.getAttribute(\"data-val\")||!0,o=t._fullLayout,s=o._subplots.geo||[],l=0;l<s.length;l++){var u=s[l],c=o[u];if(\"zoom\"===i){var f=c.projection.scale,h=\"in\"===a?2*f:.5*f;n.call(\"_guiRelayout\",t,u+\".projection.scale\",h)}}\"reset\"===i&&x(t,\"geo\")}function g(t){var e=t._fullLayout;return!e.hovermode&&(e._has(\"cartesian\")?e._isHoriz?\"y\":\"x\":\"closest\")}function y(t){var e=g(t);n.call(\"_guiRelayout\",t,\"hovermode\",e)}function m(t,e){for(var r=e.currentTarget.getAttribute(\"data-val\"),i=t._fullLayout,a=i._subplots.mapbox||[],o={},s=0;s<a.length;s++){var l=a[s],u=i[l].zoom,c=\"in\"===r?1.05*u:u/1.05;o[l+\".zoom\"]=c}n.call(\"_guiRelayout\",t,o)}function x(t,e){for(var r=t._fullLayout,i=r._subplots[e]||[],a={},o=0;o<i.length;o++)for(var s=i[o],l=r[s]._subplot.viewInitial,u=Object.keys(l),c=0;c<u.length;c++){var f=u[c];a[s+\".\"+f]=l[f]}n.call(\"_guiRelayout\",t,a)}c.toImage={name:\"toImage\",title:function(t){var e=(t._context.toImageButtonOptions||{}).format||\"png\";return u(t,\"png\"===e?\"Download plot as a png\":\"Download plot\")},icon:o.camera,click:function(t){var e=t._context.toImageButtonOptions,r={format:e.format||\"png\"};l.notifier(u(t,\"Taking snapshot - this may take a few seconds\"),\"long\"),\"svg\"!==r.format&&l.isIE()&&(l.notifier(u(t,\"IE only supports svg.  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u(t,\"Pan\")},attr:\"dragmode\",val:\"pan\",icon:o.pan,click:f},c.select2d={name:\"select2d\",_cat:\"select\",title:function(t){return u(t,\"Box Select\")},attr:\"dragmode\",val:\"select\",icon:o.selectbox,click:f},c.lasso2d={name:\"lasso2d\",_cat:\"lasso\",title:function(t){return u(t,\"Lasso Select\")},attr:\"dragmode\",val:\"lasso\",icon:o.lasso,click:f},c.drawclosedpath={name:\"drawclosedpath\",title:function(t){return u(t,\"Draw closed freeform\")},attr:\"dragmode\",val:\"drawclosedpath\",icon:o.drawclosedpath,click:f},c.drawopenpath={name:\"drawopenpath\",title:function(t){return u(t,\"Draw open freeform\")},attr:\"dragmode\",val:\"drawopenpath\",icon:o.drawopenpath,click:f},c.drawline={name:\"drawline\",title:function(t){return u(t,\"Draw line\")},attr:\"dragmode\",val:\"drawline\",icon:o.drawline,click:f},c.drawrect={name:\"drawrect\",title:function(t){return u(t,\"Draw 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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\")}},c.toggleSpikelines={name:\"toggleSpikelines\",title:function(t){return u(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))}},c.resetViewMapbox={name:\"resetViewMapbox\",_cat:\"resetView\",title:function(t){return u(t,\"Reset view\")},attr:\"reset\",icon:o.home,click:function(t){x(t,\"mapbox\")}},c.zoomInMapbox={name:\"zoomInMapbox\",_cat:\"zoomin\",title:function(t){return u(t,\"Zoom in\")},attr:\"zoom\",val:\"in\",icon:o.zoom_plus,click:m},c.zoomOutMapbox={name:\"zoomOutMapbox\",_cat:\"zoomout\",title:function(t){return u(t,\"Zoom out\")},attr:\"zoom\",val:\"out\",icon:o.zoom_minus,click:m}},76052:function(t,e,r){\"use strict\";var n=r(44248),i=Object.keys(n),a=[\"drawline\",\"drawopenpath\",\"drawclosedpath\",\"drawcircle\",\"drawrect\",\"eraseshape\"],o=[\"v1hovermode\",\"hoverclosest\",\"hovercompare\",\"togglehover\",\"togglespikelines\"].concat(a),s=[];i.forEach((function(t){!function(t){if(-1===o.indexOf(t._cat||t.name)){var e=t.name,r=(t._cat||t.name).toLowerCase();-1===s.indexOf(e)&&s.push(e),-1===s.indexOf(r)&&s.push(r)}}(n[t])})),s.sort(),t.exports={DRAW_MODES:a,backButtons:o,foreButtons:s}},90824:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(31780),o=r(66540);t.exports=function(t,e){var r=t.modebar||{},s=a.newContainer(e,\"modebar\");function l(t,e){return n.coerce(r,s,o,t,e)}l(\"orientation\"),l(\"bgcolor\",i.addOpacity(e.paper_bgcolor,.5));var u=i.contrast(i.rgb(e.modebar.bgcolor));l(\"color\",i.addOpacity(u,.3)),l(\"activecolor\",i.addOpacity(u,.7)),l(\"uirevision\",e.uirevision),l(\"add\"),l(\"remove\")}},45460:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:r(66540),supplyLayoutDefaults:r(90824),manage:r(18816)}},18816:function(t,e,r){\"use strict\";var n=r(79811),i=r(43028),a=r(24040),o=r(10624).isUnifiedHover,s=r(66400),l=r(44248),u=r(76052).DRAW_MODES,c=r(3400).extendDeep;t.exports=function(t){var e=t._fullLayout,r=t._context,f=e._modeBar;if(r.displayModeBar||r.watermark){if(!Array.isArray(r.modeBarButtonsToRemove))throw new Error([\"*modeBarButtonsToRemove* configuration options\",\"must be an array.\"].join(\" \"));if(!Array.isArray(r.modeBarButtonsToAdd))throw new Error([\"*modeBarButtonsToAdd* configuration options\",\"must be an array.\"].join(\" \"));var h,p=r.modeBarButtons;h=Array.isArray(p)&&p.length?function(t){for(var e=c([],t),r=0;r<e.length;r++)for(var n=e[r],i=0;i<n.length;i++){var a=n[i];if(\"string\"==typeof a){if(void 0===l[a])throw new Error([\"*modeBarButtons* configuration options\",\"invalid button name\"].join(\" \"));e[r][i]=l[a]}}return e}(p):!r.displayModeBar&&r.watermark?[]:function(t){var e=t._fullLayout,r=t._fullData,s=t._context;function c(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(c(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(c(t,s.modeBarButtonsToAdd[e]))return!1;return!0}))),v=e._has(\"cartesian\"),g=e._has(\"gl3d\"),y=e._has(\"geo\"),m=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,u=0;u<d.length;u++){var c=d[u].toLowerCase();if(c===a||c===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=[],O=[],I=[],z=[];(v||b||m||x||_)+y+g+w+T+k>1?(O=[\"toggleHover\"],I=[\"resetViews\"]):y?(P=[\"zoomInGeo\",\"zoomOutGeo\"],O=[\"hoverClosestGeo\"],I=[\"resetGeo\"]):g?(O=[\"hoverClosest3d\"],I=[\"resetCameraDefault3d\",\"resetCameraLastSave3d\"]):w?(P=[\"zoomInMapbox\",\"zoomOutMapbox\"],O=[\"toggleHover\"],I=[\"resetViewMapbox\"]):b?O=[\"hoverClosestGl2d\"]:m?O=[\"hoverClosestPie\"]:A?(O=[\"hoverClosestCartesian\",\"hoverCompareCartesian\"],I=[\"resetViewSankey\"]):O=[\"toggleHover\"],v&&(O=[\"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)&&(O=[]),!v&&!b||M||(P=[\"zoomIn2d\",\"zoomOut2d\",\"autoScale2d\"],\"resetViews\"!==I[0]&&(I=[\"resetScale2d\"])),g?z=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(v||b)&&!M||_?z=[\"zoom2d\",\"pan2d\"]:w||y?z=[\"pan2d\"]:T&&(z=[\"zoom2d\"]),function(t){for(var e=!1,r=0;r<t.length&&!e;r++){var n=t[r];n._module&&n._module.selectPoints&&(a.traceIs(n,\"scatter-like\")?(i.hasMarkers(n)||i.hasText(n))&&(e=!0):a.traceIs(n,\"box-violin\")&&\"all\"!==n.boxpoints&&\"all\"!==n.points||(e=!0))}return e}(r)&&z.push(\"select2d\",\"lasso2d\");var D=[],R=function(t){-1===D.indexOf(t)&&-1!==O.indexOf(t)&&D.push(t)};if(Array.isArray(p)){for(var F=[],B=0;B<p.length;B++){var N=p[B];\"string\"==typeof N?(N=N.toLowerCase(),-1!==u.indexOf(N)?(e._has(\"mapbox\")||e._has(\"cartesian\"))&&z.push(N):\"togglespikelines\"===N?R(\"toggleSpikelines\"):\"togglehover\"===N?R(\"toggleHover\"):\"hovercompare\"===N?R(\"hoverCompareCartesian\"):\"hoverclosest\"===N?(R(\"hoverClosestCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\")):\"v1hovermode\"===N&&(R(\"toggleHover\"),R(\"hoverClosestCartesian\"),R(\"hoverCompareCartesian\"),R(\"hoverClosestGeo\"),R(\"hoverClosest3d\"),R(\"hoverClosestGl2d\"),R(\"hoverClosestPie\"))):F.push(N)}p=F}return L(z),L(P.concat(I)),L(D),function(t,e){if(e.length)if(Array.isArray(e[0]))for(var r=0;r<e.length;r++)t.push(e[r]);else t.push(e);return t}(E,p)}(t),f?f.update(t,h):e._modeBar=s(t,h)}else f&&(f.destroy(),delete e._modeBar)}},66400:function(t,e,r){\"use strict\";var n=r(33428),i=r(38248),a=r(3400),o=r(9224),s=r(25788).version,l=new DOMParser;function u(t){this.container=t.container,this.element=document.createElement(\"div\"),this.update(t.graphInfo,t.buttons),this.container.appendChild(this.element)}var c=u.prototype;c.update=function(t,e){this.graphInfo=t;var r=this.graphInfo._context,n=this.graphInfo._fullLayout,i=\"modebar-\"+n._uid;this.element.setAttribute(\"id\",i),this._uid=i,this.element.className=\"modebar\",\"hover\"===r.displayModeBar&&(this.element.className+=\" modebar--hover ease-bg\"),\"v\"===n.modebar.orientation&&(this.element.className+=\" vertical\",e=e.reverse());var o=n.modebar,s=\"hover\"===r.displayModeBar?\".js-plotly-plot .plotly:hover 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t.svg&&(e=l.parseFromString(t.svg,\"application/xml\").childNodes[0]),e.setAttribute(\"height\",\"1em\"),e.setAttribute(\"width\",\"1em\"),e},c.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 u=null===o?o:a.nestedProperty(e,o).get();l.classed(\"active\",u===i)}}))},c.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},c.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 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n=r(25376),i=r(22548),a=(0,r(31780).templatedArray)(\"button\",{visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},step:{valType:\"enumerated\",values:[\"month\",\"year\",\"day\",\"hour\",\"minute\",\"second\",\"all\"],dflt:\"month\",editType:\"plot\"},stepmode:{valType:\"enumerated\",values:[\"backward\",\"todate\"],dflt:\"backward\",editType:\"plot\"},count:{valType:\"number\",min:0,dflt:1,editType:\"plot\"},label:{valType:\"string\",editType:\"plot\"},editType:\"plot\"});t.exports={visible:{valType:\"boolean\",editType:\"plot\"},buttons:a,x:{valType:\"number\",min:-2,max:3,editType:\"plot\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"plot\"},y:{valType:\"number\",min:-2,max:3,editType:\"plot\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"bottom\",editType:\"plot\"},font:n({editType:\"plot\"}),bgcolor:{valType:\"color\",dflt:i.lightLine,editType:\"plot\"},activecolor:{valType:\"color\",editType:\"plot\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"plot\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"plot\"},editType:\"plot\"}},85984:function(t){\"use 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g=d(\"bgcolor\");d(\"activecolor\",i.contrast(g,l.lightAmount,l.darkAmount)),d(\"bordercolor\"),d(\"borderwidth\")}}},50216:function(t,e,r){\"use strict\";var n=r(33428),i=r(24040),a=r(7316),o=r(76308),s=r(43616),l=r(3400),u=l.strTranslate,c=r(72736),f=r(79811),h=r(84284),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR,g=r(85984),y=r(48040);function m(t){return t._id}function x(t,e,r){var n=l.ensureSingle(t,\"rect\",\"selector-rect\",(function(t){t.attr(\"shape-rendering\",\"crispEdges\")}));n.attr({rx:g.rx,ry:g.ry}),n.call(o.stroke,e.bordercolor).call(o.fill,function(t,e){return e._isActive||e._isHovered?t.activecolor:t.bgcolor}(e,r)).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i,a;l.ensureSingle(t,\"text\",\"selector-text\",(function(t){t.attr(\"text-anchor\",\"middle\")})).call(s.font,e.font).text((i=r,a=n._fullLayout._meta,i.label?a?l.templateString(i.label,a):i.label:\"all\"===i.step?\"all\":i.count+i.step.charAt(0))).call((function(t){c.convertToTspans(t,n)}))}t.exports=function(t){var e=t._fullLayout._infolayer.selectAll(\".rangeselector\").data(function(t){for(var e=f.list(t,\"x\",!0),r=[],n=0;n<e.length;n++){var i=e[n];i.rangeselector&&i.rangeselector.visible&&r.push(i)}return r}(t),m);e.enter().append(\"g\").classed(\"rangeselector\",!0),e.exit().remove(),e.style({cursor:\"pointer\",\"pointer-events\":\"all\"}),e.each((function(e){var r=n.select(this),o=e,f=o.rangeselector,h=r.selectAll(\"g.button\").data(l.filterVisible(f.buttons));h.enter().append(\"g\").classed(\"button\",!0),h.exit().remove(),h.each((function(e){var r=n.select(this),a=y(o,e);e._isActive=function(t,e,r){if(\"all\"===e.step)return!0===t.autorange;var n=Object.keys(r);return t.range[0]===r[n[0]]&&t.range[1]===r[n[1]]}(o,e,a),r.call(x,f,e),r.call(b,f,e,t),r.on(\"click\",(function(){t._dragged||i.call(\"_guiRelayout\",t,a)})),r.on(\"mouseover\",(function(){e._isHovered=!0,r.call(x,f,e)})),r.on(\"mouseout\",(function(){e._isHovered=!1,r.call(x,f,e)}))})),function(t,e,r,i,o){var f=0,h=0,y=r.borderwidth;e.each((function(){var t=n.select(this).select(\".selector-text\"),e=r.font.size*p,i=Math.max(e*c.lineCount(t),16)+3;h=Math.max(h,i)})),e.each((function(){var t=n.select(this),e=t.select(\".selector-rect\"),i=t.select(\".selector-text\"),a=i.node()&&s.bBox(i.node()).width,o=r.font.size*p,l=c.lineCount(i),d=Math.max(a+10,g.minButtonWidth);t.attr(\"transform\",u(y+f,y)),e.attr({x:0,y:0,width:d,height:h}),c.positionText(i,d/2,h/2-(l-1)*o/2+3),f+=d+5}));var m=t._fullLayout._size,x=m.l+m.w*r.x,b=m.t+m.h*(1-r.y),_=\"left\";l.isRightAnchor(r)&&(x-=f,_=\"right\"),l.isCenterAnchor(r)&&(x-=f/2,_=\"center\");var w=\"top\";l.isBottomAnchor(r)&&(b-=h,w=\"bottom\"),l.isMiddleAnchor(r)&&(b-=h/2,w=\"middle\"),f=Math.ceil(f),h=Math.ceil(h),x=Math.round(x),b=Math.round(b),a.autoMargin(t,i+\"-range-selector\",{x:r.x,y:r.y,l:f*d[_],r:f*v[_],b:h*v[w],t:h*d[w]}),o.attr(\"transform\",u(x,b))}(t,h,f,o._name,r)}))}},48040:function(t,e,r){\"use strict\";var n=r(73220),i=r(3400).titleCase;t.exports=function(t,e){var r=t._name,a={};if(\"all\"===e.step)a[r+\".autorange\"]=!0;else{var o=function(t,e){var r,a=t.range,o=new Date(t.r2l(a[1])),s=e.step,l=n[\"utc\"+i(s)],u=e.count;switch(e.stepmode){case\"backward\":r=t.l2r(+l.offset(o,-u));break;case\"todate\":var c=l.offset(o,-u);r=t.l2r(+l.ceil(c))}return[r,a[1]]}(t,e);a[r+\".range[0]\"]=o[0],a[r+\".range[1]\"]=o[1]}return a}},41152:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"rangeselector\",schema:{subplots:{xaxis:{rangeselector:r(26680)}}},layoutAttributes:r(26680),handleDefaults:r(22148),draw:r(50216)}},11200:function(t,e,r){\"use 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n=r(3400),i=r(31780),a=r(79811),o=r(11200),s=r(10936);t.exports=function(t,e,r){var l=t[r],u=e[r];if(l.rangeslider||e._requestRangeslider[u._id]){n.isPlainObject(l.rangeslider)||(l.rangeslider={});var c,f,h=l.rangeslider,p=i.newContainer(u,\"rangeslider\");if(_(\"visible\")){_(\"bgcolor\",e.plot_bgcolor),_(\"bordercolor\"),_(\"borderwidth\"),_(\"thickness\"),_(\"autorange\",!u.isValidRange(h.range)),_(\"range\");var d=e._subplots;if(d)for(var v=d.cartesian.filter((function(t){return t.substr(0,t.indexOf(\"y\"))===a.name2id(r)})).map((function(t){return t.substr(t.indexOf(\"y\"),t.length)})),g=n.simpleMap(v,a.id2name),y=0;y<g.length;y++){var m=g[y];c=h[m]||{},f=i.newContainer(p,m,\"yaxis\");var x,b=e[m];c.range&&b.isValidRange(c.range)&&(x=\"fixed\"),\"match\"!==w(\"rangemode\",x)&&w(\"range\",b.range.slice())}p._input=h}}function _(t,e){return n.coerce(h,p,o,t,e)}function w(t,e){return n.coerce(c,f,s,t,e)}}},20060:function(t,e,r){\"use strict\";var n=r(33428),i=r(24040),a=r(7316),o=r(3400),s=o.strTranslate,l=r(43616),u=r(76308),c=r(81668),f=r(57952),h=r(79811),p=r(86476),d=r(93972),v=r(74636);function g(t){return\"number\"==typeof t.clientX?t.clientX:t.touches&&t.touches.length>0?t.touches[0].clientX:0}function y(t,e,r,n){var i=o.ensureSingle(t,\"rect\",v.bgClassName,(function(t){t.attr({x:0,y:0,\"shape-rendering\":\"crispEdges\"})})),a=n.borderwidth%2==0?n.borderwidth:n.borderwidth-1,c=-n._offsetShift,f=l.crispRound(e,n.borderwidth);i.attr({width:n._width+a,height:n._height+a,transform:s(c,c),\"stroke-width\":f}).call(u.stroke,n.bordercolor).call(u.fill,n.bgcolor)}function m(t,e,r,n){var i=e._fullLayout;o.ensureSingleById(i._topdefs,\"clipPath\",n._clipId,(function(t){t.append(\"rect\").attr({x:0,y:0})})).select(\"rect\").attr({width:n._width,height:n._height})}function x(t,e,r,i){var s,u=e.calcdata,c=t.selectAll(\"g.\"+v.rangePlotClassName).data(r._subplotsWith,o.identity);c.enter().append(\"g\").attr(\"class\",(function(t){return v.rangePlotClassName+\" \"+t})).call(l.setClipUrl,i._clipId,e),c.order(),c.exit().remove(),c.each((function(t,o){var l=n.select(this),c=0===o,p=h.getFromId(e,t,\"y\"),d=p._name,v=i[d],g={data:[],layout:{xaxis:{type:r.type,domain:[0,1],range:i.range.slice(),calendar:r.calendar},width:i._width,height:i._height,margin:{t:0,b:0,l:0,r:0}},_context:e._context};r.rangebreaks&&(g.layout.xaxis.rangebreaks=r.rangebreaks),g.layout[d]={type:p.type,domain:[0,1],range:\"match\"!==v.rangemode?v.range.slice():p.range.slice(),calendar:p.calendar},p.rangebreaks&&(g.layout[d].rangebreaks=p.rangebreaks),a.supplyDefaults(g);var y=g._fullLayout.xaxis,m=g._fullLayout[d];y.clearCalc(),y.setScale(),m.clearCalc(),m.setScale();var x={id:t,plotgroup:l,xaxis:y,yaxis:m,isRangePlot:!0};c?s=x:(x.mainplot=\"xy\",x.mainplotinfo=s),f.rangePlot(e,x,function(t,e){for(var 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T,k=o.simpleMap(l.range,r.r2l),A=o.simpleMap(r.range,r.r2l);T=A[0]<A[1]?[Math.min(k[0],A[0]),Math.max(k[1],A[1])]:[Math.max(k[0],A[0]),Math.min(k[1],A[1])],l.range=l._input.range=o.simpleMap(T,r.l2r)}r.cleanRange(\"rangeslider.range\");var M=e._size,S=r.domain;l._width=M.w*(S[1]-S[0]);var E=Math.round(M.l+M.w*S[0]),L=Math.round(M.t+M.h*(1-r._counterDomainMin)+(\"bottom\"===r.side?r._depth:0)+l._offsetShift+v.extraPad);a.attr(\"transform\",s(E,L)),l._rl=o.simpleMap(l.range,r.r2l);var C=l._rl[0],P=l._rl[1],O=P-C;if(l.p2d=function(t){return t/l._width*O+C},l.d2p=function(t){return(t-C)/O*l._width},r.rangebreaks){var I=r.locateBreaks(C,P);if(I.length){var z,D,R=0;for(z=0;z<I.length;z++)R+=(D=I[z]).max-D.min;var F=l._width/(P-C-R),B=[-F*C];for(z=0;z<I.length;z++)D=I[z],B.push(B[B.length-1]-F*(D.max-D.min));for(l.d2p=function(t){for(var e=B[0],r=0;r<I.length;r++){var n=I[r];if(t>=n.max)e=B[r+1];else if(t<n.min)break}return 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r=t._fullLayout,n=e[s],l=e._id.charAt(0),u=0,c=0;return\"bottom\"===e.side&&(u=e._depth,e.title.text!==r._dfltTitle[l]&&(c=1.5*e.title.font.size+10+n._offsetShift,c+=(e.title.text.match(i.BR_TAG_ALL)||[]).length*e.title.font.size*o)),{x:0,y:e._counterDomainMin,l:0,r:0,t:0,b:n._height+u+Math.max(r.margin.b,c),pad:a.extraPad+2*n._offsetShift}}},49692:function(t,e,r){\"use strict\";var n=r(3400),i=r(11200),a=r(10936),o=r(97944);t.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(11200),handleDefaults:r(94040),calcAutorange:r(26652),draw:r(20060),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},10936:function(t){\"use 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strict\";t.exports={BENDPX:1.5,MINSELECT:12,SELECTDELAY:100,SELECTID:\"-select\"}},74224:function(t,e,r){\"use strict\";var n=r(3400),i=r(54460),a=r(51272),o=r(93956),s=r(65152);function l(t,e,r){function a(r,i){return n.coerce(t,e,o,r,i)}var l=a(\"path\"),u=\"path\"!==a(\"type\",l?\"path\":\"rect\");u&&delete e.path,a(\"opacity\"),a(\"line.color\"),a(\"line.width\"),a(\"line.dash\");for(var c=[\"x\",\"y\"],f=0;f<2;f++){var h,p,d,v=c[f],g={_fullLayout:r},y=i.coerceRef(t,e,g,v);if((h=i.getFromId(g,y))._selectionIndices.push(e._index),d=s.rangeToShapePosition(h),p=s.shapePositionToRange(h),u){var m=v+\"0\",x=v+\"1\",b=t[m],_=t[x];t[m]=p(t[m],!0),t[x]=p(t[x],!0),i.coercePosition(e,g,a,y,m),i.coercePosition(e,g,a,y,x);var w=e[m],T=e[x];void 0!==w&&void 0!==T&&(e[m]=d(w),e[x]=d(T),t[m]=b,t[x]=_)}}u&&n.noneOrAll(t,e,[\"x0\",\"x1\",\"y0\",\"y1\"])}t.exports=function(t,e){a(t,e,{name:\"selections\",handleItemDefaults:l});for(var r=e.selections,n=0;n<r.length;n++){var i=r[n];i&&void 0===i.path&&(void 0!==i.x0&&void 0!==i.x1&&void 0!==i.y0&&void 0!==i.y1||(e.selections[n]=null))}}},23640:function(t,e,r){\"use strict\";var n=r(9856).readPaths,i=r(55496),a=r(1936).clearOutlineControllers,o=r(76308),s=r(43616),l=r(31780).arrayEditor,u=r(65152),c=u.getPathString;function f(t){var e=t._fullLayout;for(var r in a(t),e._selectionLayer.selectAll(\"path\").remove(),e._plots){var n=e._plots[r].selectionLayer;n&&n.selectAll(\"path\").remove()}for(var i=0;i<e.selections.length;i++)p(t,i)}function h(t){return t._context.editSelection}function p(t,e){t._fullLayout._paperdiv.selectAll('.selectionlayer [data-index=\"'+e+'\"]').remove();var r=u.makeSelectionsOptionsAndPlotinfo(t,e),a=r.options,p=r.plotinfo;a._input&&function(r){var u=c(t,a),g={\"data-index\":e,\"fill-rule\":\"evenodd\",d:u},y=a.opacity,m=\"rgba(0,0,0,0)\",x=a.line.color||o.contrast(t._fullLayout.plot_bgcolor),b=a.line.width,_=a.line.dash;b||(b=5,_=\"solid\");var w=h(t)&&t._fullLayout._activeSelectionIndex===e;w&&(m=t._fullLayout.activeselection.fillcolor,y=t._fullLayout.activeselection.opacity);for(var T=[],k=1;k>=0;k--){var A=r.append(\"path\").attr(g).style(\"opacity\",k?.1:y).call(o.stroke,x).call(o.fill,m).call(s.dashLine,k?\"solid\":_,k?4+b:b);if(d(A,t,a),w){var M=l(t.layout,\"selections\",a);A.style({cursor:\"move\"});var S={element:A.node(),plotinfo:p,gd:t,editHelpers:M,isActiveSelection:!0},E=n(u,t);i(E,A,S)}else A.style(\"pointer-events\",k?\"all\":\"none\");T[k]=A}var L=T[0];T[1].node().addEventListener(\"click\",(function(){return function(t,e){if(h(t)){var r=+e.node().getAttribute(\"data-index\");if(r>=0){if(r===t._fullLayout._activeSelectionIndex)return void v(t);t._fullLayout._activeSelectionIndex=r,t._fullLayout._deactivateSelection=v,f(t)}}}(t,L)}))}(t._fullLayout._selectionLayer)}function d(t,e,r){var n=r.xref+r.yref;s.setClipUrl(t,\"clip\"+e._fullLayout._uid+n,e)}function v(t){h(t)&&t._fullLayout._activeSelectionIndex>=0&&(a(t),delete t._fullLayout._activeSelectionIndex,f(t))}t.exports={draw:f,drawOne:p,activateLastSelection:function(t){if(h(t)){var e=t._fullLayout.selections.length-1;t._fullLayout._activeSelectionIndex=e,t._fullLayout._deactivateSelection=v,f(t)}}}},34200:function(t,e,r){\"use strict\";var n=r(98192).u,i=r(92880).extendFlat;t.exports={newselection:{mode:{valType:\"enumerated\",values:[\"immediate\",\"gradual\"],dflt:\"immediate\",editType:\"none\"},line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:1,dflt:1,editType:\"none\"},dash:i({},n,{dflt:\"dot\",editType:\"none\"}),editType:\"none\"},editType:\"none\"},activeselection:{fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:.5,editType:\"none\"},editType:\"none\"}}},81004:function(t){\"use 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m,x=o(a,u,f,d),b={xref:h._id,yref:p._id,opacity:c.opacity,line:{color:c.line.color,width:c.line.width,dash:c.line.dash}};1===x.length&&(m=x[0]),m&&5===m.length&&\"select\"===v?(b.type=\"rect\",b.x0=m[0][1],b.y0=m[0][2],b.x1=m[2][1],b.y1=m[2][2]):(b.type=\"path\",h&&p&&l(x,h,p),b.path=s(x),m=null),i(u);for(var _=e.editHelpers,w=(_||{}).modifyItem,T=[],k=0;k<g.length;k++){var A=u._fullLayout.selections[k];if(A){if(T[k]=A._input,void 0!==d&&k===u._fullLayout._activeSelectionIndex){var M=b;switch(A.type){case\"rect\":w(\"x0\",M.x0),w(\"x1\",M.x1),w(\"y0\",M.y0),w(\"y1\",M.y1);break;case\"path\":w(\"path\",M.path)}}}else T[k]=A}return void 0===d?(T.push(b),T):_?_.getUpdateObj():{}}}}},5840:function(t,e,r){\"use strict\";var n=r(3400).strTranslate;function i(t,e){switch(t.type){case\"log\":return t.p2d(e);case\"date\":return t.p2r(e,0,t.calendar);default:return t.p2r(e)}}t.exports={p2r:i,r2p:function(t,e){switch(t.type){case\"log\":return t.d2p(e);case\"date\":return t.r2p(e,0,t.calendar);default:return t.r2p(e)}},axValue:function(t){var e=\"y\"===t._id.charAt(0)?1:0;return function(r){return i(t,r[e])}},getTransform:function(t){return n(t.xaxis._offset,t.yaxis._offset)}}},22676:function(t,e,r){\"use strict\";var n=r(23640),i=r(43156);t.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:r(93956),supplyLayoutDefaults:r(74224),supplyDrawNewSelectionDefaults:r(81004),includeBasePlot:r(36632)(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},43156:function(t,e,r){\"use strict\";var n=r(14756),i=r(61456),a=r(24040),o=r(43616).dashStyle,s=r(76308),l=r(93024),u=r(10624).makeEventData,c=r(72760),f=c.freeMode,h=c.rectMode,p=c.drawMode,d=c.openMode,v=c.selectMode,g=r(65152),y=r(85448),m=r(55496),x=r(1936).clearOutline,b=r(9856),_=b.handleEllipse,w=b.readPaths,T=r(93940).newShapes,k=r(5968),A=r(23640).activateLastSelection,M=r(3400),S=M.sorterAsc,E=r(92065),L=r(91200),C=r(79811).getFromId,P=r(73696),O=r(39172).redrawReglTraces,I=r(83280),z=I.MINSELECT,D=E.filter,R=E.tester,F=r(5840),B=F.p2r,N=F.axValue,j=F.getTransform;function U(t){return void 0!==t.subplot}function V(t,e,r,n,i,a,o){var s,l,u,c,f,h,p,v,g,y=e._hoverdata,x=e._fullLayout.clickmode.indexOf(\"event\")>-1,b=[];if(function(t){return t&&Array.isArray(t)&&!0!==t[0].hoverOnBox}(y)){W(t,e,a);var _=function(t,e){var r,n,i=t[0],a=-1,o=[];for(n=0;n<e.length;n++)if(r=e[n],i.fullData._expandedIndex===r.cd[0].trace._expandedIndex){if(!0===i.hoverOnBox)break;void 0!==i.pointNumber?a=i.pointNumber:void 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u,c,f=o.selectAll(\".select-outline-\"+n.id);f&&i._fullLayout._outlining&&(s&&(u=T(f,t)),u&&a.call(\"_guiRelayout\",i,{shapes:u}),l&&!U(t)&&(c=k(f,t)),c&&(i._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",i,{selections:c}).then((function(){e&&A(i)}))),i._fullLayout._outlining=!1)}n.selection={},n.selection.selectionDefs=t.selectionDefs=[],n.selection.mergedPolygons=t.mergedPolygons=[]}function X(t){return t._id}function Z(t,e,r,n){if(!t.calcdata)return[];var i,a,o,s=[],l=e.map(X),u=r.map(X);for(o=0;o<t.calcdata.length;o++)if(!0===(a=(i=t.calcdata[o])[0].trace).visible&&a._module&&a._module.selectPoints)if(!U({subplot:n})||a.subplot!==n&&a.geo!==n)if(\"splom\"===a.type){if(a._xaxes[l[0]]&&a._yaxes[u[0]]){var c=K(a._module,i,e[0],r[0]);c.scene=t._fullLayout._splomScenes[a.uid],s.push(c)}}else if(\"sankey\"===a.type){var 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if(\"path\"===s.type)for(var T=s.path.split(\"Z\"),k=[],A=0;A<T.length;A++){var M=T[A];if(M){M+=\"Z\";var S=g.extractPathCoords(M,y.paramIsX,\"raw\"),E=g.extractPathCoords(M,y.paramIsY,\"raw\");l=1/0,u=-1/0,c=1/0,f=-1/0,h=[];for(var L=0;L<S.length;L++){var P=lt(v,S[L]),O=lt(m,E[L]);h.push([P,O]),l=Math.min(P,l),u=Math.max(P,u),c=Math.min(O,c),f=Math.max(O,f)}h.xmin=l,h.xmax=u,h.ymin=c,h.ymax=f,h.xref=p,h.yref=d,h.subtract=st(h,k),k.push(h),r.push(h)}}}}return r}function st(t,e){for(var r=!1,n=0;n<e.length;n++)for(var a=e[n],o=0;o<t.length;o++)if(i(t[o],a)){r=!r;break}return r}function lt(t,e){return\"date\"===t.type&&(e=e.replace(\"_\",\" \")),\"log\"===t.type?t.c2p(e):t.r2p(e,null,t.calendar)}function ut(t){for(var e=t.length,r=[],n=0;n<e;n++){var 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s=A.selections[o];s.xref!==t||s.yref!==e?n.push(r[o]):i=!0}i&&(k._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",k,{selections:n}))}});var Lt=function(t){return t.plotinfo.fillRangeItems||ct(t.xaxes.concat(t.yaxes))}(n);n.moveFn=function(t,e){n._clearSubplotSelections&&(n._clearSubplotSelections(),n._clearSubplotSelections=void 0),lt=Math.max(0,Math.min(yt,ot*t+F)),pt=Math.max(0,Math.min(mt,st*e+B));var r=Math.abs(lt-F),i=Math.abs(pt-B);if(g){var a,o,s;if(b){var 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s=[],u=k._fullLayout.selections,c=0;c<u.length;c++){var f=u[c];f&&(f.xref===i._id&&f.yref===o._id||s.push(f))}s.length<u.length&&(k._fullLayout._noEmitSelectedAtStart=!0,a.call(\"_guiRelayout\",k,{selections:s}))}}}else r.indexOf(\"select\")>-1&&V(e,k,n.xaxes,n.yaxes,n.subplot,n,bt),\"event\"===r&&ft(k,void 0);l.click(k,e,P.id)})).catch(M.error)}},n.doneFn=function(){kt.remove(),L.done(Mt).then((function(){L.clear(Mt),!S&&K&&n.selectionDefs&&(K.subtract=xt,n.selectionDefs.push(K),n.mergedPolygons.length=0,[].push.apply(n.mergedPolygons,X)),(S||x)&&Y(n,S),n.doneFnCompleted&&n.doneFnCompleted(St),b&&ft(k,at)})).catch(M.error)}},clearOutline:x,clearSelectionsCache:Y,selectOnClick:V}},46056:function(t,e,r){\"use strict\";var 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n=r(3400),i=r(54460),a=r(72736),o=r(43616),s=r(9856).readPaths,l=r(65152),u=l.getPathString,c=r(97728),f=r(84284).FROM_TL;t.exports=function(t,e,r,h){if(h.selectAll(\".shape-label\").remove(),r.label.text||r.label.texttemplate){var p;if(r.label.texttemplate){var d={};if(\"path\"!==r.type){var v=i.getFromId(t,r.xref),g=i.getFromId(t,r.yref);for(var y in c){var m=c[y](r,v,g);void 0!==m&&(d[y]=m)}}p=n.texttemplateStringForShapes(r.label.texttemplate,{},t._fullLayout._d3locale,d)}else p=r.label.text;var x,b,_,w,T={\"data-index\":e},k=r.label.font,A=h.append(\"g\").attr(T).classed(\"shape-label\",!0).append(\"text\").attr({\"data-notex\":1}).classed(\"shape-label-text\",!0).text(p);if(r.path){var M=u(t,r),S=s(M,t);x=1/0,_=1/0,b=-1/0,w=-1/0;for(var E=0;E<S.length;E++)for(var L=0;L<S[E].length;L++)for(var C=S[E][L],P=1;P<C.length;P+=2){var O=C[P],I=C[P+1];x=Math.min(x,O),b=Math.max(b,O),_=Math.min(_,I),w=Math.max(w,I)}}else{var 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n,i=t[0][0],o=e.gd,p=i.getAttribute(\"d\"),g=o._fullLayout.newshape,y=e.plotinfo,w=e.isActiveShape,T=y.xaxis,k=y.yaxis,A=!!y.domain||!y.xaxis,M=!!y.domain||!y.yaxis,S=a(r),E=m(p,o,y,w),L={editable:!0,visible:g.visible,name:g.name,showlegend:g.showlegend,legend:g.legend,legendwidth:g.legendwidth,legendgroup:g.legendgroup,legendgrouptitle:{text:g.legendgrouptitle.text,font:g.legendgrouptitle.font},legendrank:g.legendrank,label:g.label,xref:A?\"paper\":T._id,yref:M?\"paper\":k._id,layer:g.layer,opacity:g.opacity,line:{color:g.line.color,width:g.line.width,dash:g.line.dash}};if(S||(L.fillcolor=g.fillcolor,L.fillrule=g.fillrule),1===E.length&&(n=E[0]),n&&5===n.length&&\"drawrect\"===r)L.type=\"rect\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[2][1],L.y1=n[2][2];else if(n&&\"drawline\"===r)L.type=\"line\",L.x0=n[0][1],L.y0=n[0][2],L.x1=n[1][1],L.y1=n[1][2];else if(n&&\"drawcircle\"===r){L.type=\"circle\";var C=n[s][1],P=n[l][1],O=n[u][1],I=n[c][1],z=n[s][2],D=n[l][2],R=n[u][2],F=n[c][2],B=y.xaxis&&(\"date\"===y.xaxis.type||\"log\"===y.xaxis.type),N=y.yaxis&&(\"date\"===y.yaxis.type||\"log\"===y.yaxis.type);B&&(C=v(y.xaxis,C),P=v(y.xaxis,P),O=v(y.xaxis,O),I=v(y.xaxis,I)),N&&(z=v(y.yaxis,z),D=v(y.yaxis,D),R=v(y.yaxis,R),F=v(y.yaxis,F));var j=(P+I)/2,U=(z+R)/2,V=b({x0:j,y0:U,x1:j+(I-P+O-C)/2*f,y1:U+(F-D+R-z)/2*h});B&&(V.x0=d(y.xaxis,V.x0),V.x1=d(y.xaxis,V.x1)),N&&(V.y0=d(y.yaxis,V.y0),V.y1=d(y.yaxis,V.y1)),L.x0=V.x0,L.y0=V.y0,L.x1=V.x1,L.y1=V.y1}else L.type=\"path\",T&&k&&_(E,T,k),L.path=x(E),n=null;return L}t.exports={newShapes:function(t,e){if(t.length&&t[0][0]){var r=e.gd,n=e.isActiveShape,a=e.dragmode,o=(r.layout||{}).shapes||[];if(!i(a)&&void 0!==n){var s=r._fullLayout._activeShapeIndex;if(s<o.length)switch(r._fullLayout.shapes[s].type){case\"rect\":a=\"drawrect\";break;case\"circle\":a=\"drawcircle\";break;case\"line\":a=\"drawline\";break;case\"path\":var l=o[s].path||\"\";a=\"Z\"===l[l.length-1]?\"drawclosedpath\":\"drawopenpath\"}}var u=w(t,e,a);g(r);for(var c=e.editHelpers,f=(c||{}).modifyItem,h=[],p=0;p<o.length;p++){var d=r._fullLayout.shapes[p];if(h[p]=d._input,void 0!==n&&p===r._fullLayout._activeShapeIndex){var v=u;switch(d.type){case\"line\":case\"rect\":case\"circle\":f(\"x0\",v.x0),f(\"x1\",v.x1),f(\"y0\",v.y0),f(\"y1\",v.y1);break;case\"path\":f(\"path\",v.path)}}}return void 0===n?(h.push(u),h):c?c.getUpdateObj():{}}},createShapeObj:w}},1936:function(t){\"use strict\";t.exports={clearOutlineControllers:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".outline-controllers\").remove()},clearOutline:function(t){var e=t._fullLayout._zoomlayer;e&&e.selectAll(\".select-outline\").remove(),t._fullLayout._outlining=!1}}},65152:function(t,e,r){\"use strict\";var n=r(85448),i=r(3400),a=r(54460);e.rangeToShapePosition=function(t){return\"log\"===t.type?t.r2d:function(t){return t}},e.shapePositionToRange=function(t){return\"log\"===t.type?t.d2r:function(t){return t}},e.decodeDate=function(t){return function(e){return e.replace&&(e=e.replace(\"_\",\" \")),t(e)}},e.encodeDate=function(t){return function(e){return t(e).replace(\" \",\"_\")}},e.extractPathCoords=function(t,e,r){var a=[];return t.match(n.segmentRE).forEach((function(t){var o=e[t.charAt(0)].drawn;if(void 0!==o){var s=t.substr(1).match(n.paramRE);if(s&&!(s.length<o)){var l=s[o],u=r?l:i.cleanNumber(l);a.push(u)}}})),a},e.getDataToPixel=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){return r._length*(n?1-t:t)+r._offset};else{var s=e.shapePositionToRange(r);a=function(t){return r._offset+r.r2p(s(t,!0))},\"date\"===r.type&&(a=e.decodeDate(a))}else a=n?function(t){return o.t+o.h*(1-t)}:function(t){return o.l+o.w*t};return a},e.getPixelToData=function(t,r,n,i){var a,o=t._fullLayout._size;if(r)if(\"domain\"===i)a=function(t){var e=(t-r._offset)/r._length;return n?1-e:e};else{var s=e.rangeToShapePosition(r);a=function(t){return s(r.p2r(t-r._offset))}}else a=n?function(t){return 1-(t-o.t)/o.h}:function(t){return(t-o.l)/o.w};return a},e.roundPositionForSharpStrokeRendering=function(t,e){var r=1===Math.round(e%2),n=Math.round(t);return r?n+.5:n},e.makeShapesOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.shapes[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&\"paper\"!==r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&\"paper\"!==r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),n.xsizemode=r.xsizemode,n.ysizemode=r.ysizemode,n.xanchor=r.xanchor,n.yanchor=r.yanchor,{options:r,plotinfo:n}},e.makeSelectionsOptionsAndPlotinfo=function(t,e){var r=t._fullLayout.selections[e]||{},n=t._fullLayout._plots[r.xref+r.yref];return n?n._hadPlotinfo=!0:(n={},r.xref&&(n.xaxis=t._fullLayout[r.xref+\"axis\"]),r.yref&&(n.yaxis=t._fullLayout[r.yref+\"axis\"])),{options:r,plotinfo:n}},e.getPathString=function(t,r){var o,s,l,u,c,f,h,p,d=r.type,v=a.getRefType(r.xref),g=a.getRefType(r.yref),y=a.getFromId(t,r.xref),m=a.getFromId(t,r.yref),x=t._fullLayout._size;if(y?\"domain\"===v?s=function(t){return y._offset+y._length*t}:(o=e.shapePositionToRange(y),s=function(t){return y._offset+y.r2p(o(t,!0))}):s=function(t){return x.l+x.w*t},m?\"domain\"===g?u=function(t){return m._offset+m._length*(1-t)}:(l=e.shapePositionToRange(m),u=function(t){return m._offset+m.r2p(l(t,!0))}):u=function(t){return x.t+x.h*(1-t)},\"path\"===d)return y&&\"date\"===y.type&&(s=e.decodeDate(s)),m&&\"date\"===m.type&&(u=e.decodeDate(u)),function(t,e,r){var a=t.path,o=t.xsizemode,s=t.ysizemode,l=t.xanchor,u=t.yanchor;return a.replace(n.segmentRE,(function(t){var a=0,c=t.charAt(0),f=n.paramIsX[c],h=n.paramIsY[c],p=n.numParams[c],d=t.substr(1).replace(n.paramRE,(function(t){return f[a]?t=\"pixel\"===o?e(l)+Number(t):e(t):h[a]&&(t=\"pixel\"===s?r(u)-Number(t):r(t)),++a>p&&(t=\"X\"),t}));return a>p&&(d=d.replace(/[\\s,]*X.*/,\"\"),i.log(\"Ignoring extra params in segment \"+t)),c+d}))}(r,s,u);if(\"pixel\"===r.xsizemode){var b=s(r.xanchor);c=b+r.x0,f=b+r.x1}else c=s(r.x0),f=s(r.x1);if(\"pixel\"===r.ysizemode){var _=u(r.yanchor);h=_-r.y0,p=_-r.y1}else h=u(r.y0),p=u(r.y1);if(\"line\"===d)return\"M\"+c+\",\"+h+\"L\"+f+\",\"+p;if(\"rect\"===d)return\"M\"+c+\",\"+h+\"H\"+f+\"V\"+p+\"H\"+c+\"Z\";var w=(c+f)/2,T=(h+p)/2,k=Math.abs(w-c),A=Math.abs(T-h),M=\"A\"+k+\",\"+A,S=w+k+\",\"+T;return\"M\"+S+M+\" 0 1,1 \"+w+\",\"+(T-A)+M+\" 0 0,1 \"+S+\"Z\"}},41592:function(t,e,r){\"use strict\";var n=r(4016);t.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:r(46056),supplyLayoutDefaults:r(43712),supplyDrawNewShapeDefaults:r(65144),includeBasePlot:r(36632)(\"shapes\"),calcAutorange:r(96084),draw:n.draw,drawOne:n.drawOne}},97728:function(t){\"use strict\";function e(t,e){return e?e.d2l(t):t}function r(t,e){return e?e.l2d(t):t}function n(t,r){return e(t.x1,r)-e(t.x0,r)}function i(t,r,n){return e(t.y1,n)-e(t.y0,n)}t.exports={x0:function(t){return t.x0},x1:function(t){return t.x1},y0:function(t){return t.y0},y1:function(t){return t.y1},slope:function(t,e,r){return\"line\"!==t.type?void 0:i(t,0,r)/n(t,e)},dx:n,dy:i,width:function(t,e){return Math.abs(n(t,e))},height:function(t,e,r){return Math.abs(i(t,0,r))},length:function(t,e,r){return\"line\"!==t.type?void 0:Math.sqrt(Math.pow(n(t,e),2)+Math.pow(i(t,0,r),2))},xcenter:function(t,n){return r((e(t.x1,n)+e(t.x0,n))/2,n)},ycenter:function(t,n,i){return r((e(t.y1,i)+e(t.y0,i))/2,i)}}},89861:function(t,e,r){\"use strict\";var n=r(25376),i=r(66741),a=r(92880).extendDeepAll,o=r(67824).overrideAll,s=r(85656),l=r(31780).templatedArray,u=r(60876),c=l(\"step\",{visible:{valType:\"boolean\",dflt:!0},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\"},value:{valType:\"string\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"slider\",{visible:{valType:\"boolean\",dflt:!0},active:{valType:\"number\",min:0,dflt:0},steps:c,lenmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"fraction\"},len:{valType:\"number\",min:0,dflt:1},x:{valType:\"number\",min:-2,max:3,dflt:0},pad:a(i({editType:\"arraydraw\"}),{},{t:{dflt:20}}),xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\"},y:{valType:\"number\",min:-2,max:3,dflt:0},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},transition:{duration:{valType:\"number\",min:0,dflt:150},easing:{valType:\"enumerated\",values:s.transition.easing.values,dflt:\"cubic-in-out\"}},currentvalue:{visible:{valType:\"boolean\",dflt:!0},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\"},offset:{valType:\"number\",dflt:10},prefix:{valType:\"string\"},suffix:{valType:\"string\"},font:n({})},font:n({}),activebgcolor:{valType:\"color\",dflt:u.gripBgActiveColor},bgcolor:{valType:\"color\",dflt:u.railBgColor},bordercolor:{valType:\"color\",dflt:u.railBorderColor},borderwidth:{valType:\"number\",min:0,dflt:u.railBorderWidth},ticklen:{valType:\"number\",min:0,dflt:u.tickLength},tickcolor:{valType:\"color\",dflt:u.tickColor},tickwidth:{valType:\"number\",min:0,dflt:1},minorticklen:{valType:\"number\",min:0,dflt:u.minorTickLength}}),\"arraydraw\",\"from-root\")},60876:function(t){\"use strict\";t.exports={name:\"sliders\",containerClassName:\"slider-container\",groupClassName:\"slider-group\",inputAreaClass:\"slider-input-area\",railRectClass:\"slider-rail-rect\",railTouchRectClass:\"slider-rail-touch-rect\",gripRectClass:\"slider-grip-rect\",tickRectClass:\"slider-tick-rect\",inputProxyClass:\"slider-input-proxy\",labelsClass:\"slider-labels\",labelGroupClass:\"slider-label-group\",labelClass:\"slider-label\",currentValueClass:\"slider-current-value\",railHeight:5,menuIndexAttrName:\"slider-active-index\",autoMarginIdRoot:\"slider-\",minWidth:30,minHeight:30,textPadX:40,arrowOffsetX:4,railRadius:2,railWidth:5,railBorder:4,railBorderWidth:1,railBorderColor:\"#bec8d9\",railBgColor:\"#f8fafc\",railInset:8,stepInset:10,gripRadius:10,gripWidth:20,gripHeight:20,gripBorder:20,gripBorderWidth:1,gripBorderColor:\"#bec8d9\",gripBgColor:\"#f6f8fa\",gripBgActiveColor:\"#dbdde0\",labelPadding:8,labelOffset:0,tickWidth:1,tickColor:\"#333\",tickOffset:25,tickLength:7,minorTickOffset:25,minorTickColor:\"#333\",minorTickLength:4,currentValuePadding:8,currentValueInset:0}},8132:function(t,e,r){\"use 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n.coerce(t,e,s,r,i)}if(\"skip\"===t.method||Array.isArray(t.args)?r(\"visible\"):e.visible=!1){r(\"method\"),r(\"args\");var i=r(\"label\",\"step-\"+e._index);r(\"value\",i),r(\"execute\")}}t.exports=function(t,e){i(t,e,{name:o,handleItemDefaults:l})}},79664:function(t,e,r){\"use strict\";var n=r(33428),i=r(7316),a=r(76308),o=r(43616),s=r(3400),l=s.strTranslate,u=r(72736),c=r(31780).arrayEditor,f=r(60876),h=r(84284),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR;function g(t){return f.autoMarginIdRoot+t._index}function y(t){return t._index}function m(t,e){var r=o.tester.selectAll(\"g.\"+f.labelGroupClass).data(e._visibleSteps);r.enter().append(\"g\").classed(f.labelGroupClass,!0);var a=0,l=0;r.each((function(t){var r=_(n.select(this),{step:t},e).node();if(r){var i=o.bBox(r);l=Math.max(l,i.height),a=Math.max(a,i.width)}})),r.remove();var c=e._dims={};c.inputAreaWidth=Math.max(f.railWidth,f.gripHeight);var h=t._fullLayout._size;c.lx=h.l+h.w*e.x,c.ly=h.t+h.h*(1-e.y),\"fraction\"===e.lenmode?c.outerLength=Math.round(h.w*e.len):c.outerLength=e.len,c.inputAreaStart=0,c.inputAreaLength=Math.round(c.outerLength-e.pad.l-e.pad.r);var p=(c.inputAreaLength-2*f.stepInset)/(e._stepCount-1),y=a+f.labelPadding;if(c.labelStride=Math.max(1,Math.ceil(y/p)),c.labelHeight=l,c.currentValueMaxWidth=0,c.currentValueHeight=0,c.currentValueTotalHeight=0,c.currentValueMaxLines=1,e.currentvalue.visible){var m=o.tester.append(\"g\");r.each((function(t){var r=x(m,e,t.label),n=r.node()&&o.bBox(r.node())||{width:0,height:0},i=u.lineCount(r);c.currentValueMaxWidth=Math.max(c.currentValueMaxWidth,Math.ceil(n.width)),c.currentValueHeight=Math.max(c.currentValueHeight,Math.ceil(n.height)),c.currentValueMaxLines=Math.max(c.currentValueMaxLines,i)})),c.currentValueTotalHeight=c.currentValueHeight+e.currentvalue.offset,m.remove()}c.height=c.currentValueTotalHeight+f.tickOffset+e.ticklen+f.labelOffset+c.labelHeight+e.pad.t+e.pad.b;var b=\"left\";s.isRightAnchor(e)&&(c.lx-=c.outerLength,b=\"right\"),s.isCenterAnchor(e)&&(c.lx-=c.outerLength/2,b=\"center\");var w=\"top\";s.isBottomAnchor(e)&&(c.ly-=c.height,w=\"bottom\"),s.isMiddleAnchor(e)&&(c.ly-=c.height/2,w=\"middle\"),c.outerLength=Math.ceil(c.outerLength),c.height=Math.ceil(c.height),c.lx=Math.round(c.lx),c.ly=Math.round(c.ly);var T={y:e.y,b:c.height*v[w],t:c.height*d[w]};\"fraction\"===e.lenmode?(T.l=0,T.xl=e.x-e.len*d[b],T.r=0,T.xr=e.x+e.len*v[b]):(T.x=e.x,T.l=c.outerLength*d[b],T.r=c.outerLength*v[b]),i.autoMargin(t,g(e),T)}function x(t,e,r){if(e.currentvalue.visible){var n,i,a=e._dims;switch(e.currentvalue.xanchor){case\"right\":n=a.inputAreaLength-f.currentValueInset-a.currentValueMaxWidth,i=\"left\";break;case\"center\":n=.5*a.inputAreaLength,i=\"middle\";break;default:n=f.currentValueInset,i=\"left\"}var l=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":i,\"data-notex\":1})})),c=e.currentvalue.prefix?e.currentvalue.prefix:\"\";if(\"string\"==typeof r)c+=r;else{var h=e.steps[e.active].label,d=e._gd._fullLayout._meta;d&&(h=s.templateString(h,d)),c+=h}e.currentvalue.suffix&&(c+=e.currentvalue.suffix),l.call(o.font,e.currentvalue.font).text(c).call(u.convertToTspans,e._gd);var v=u.lineCount(l),g=(a.currentValueMaxLines+1-v)*e.currentvalue.font.size*p;return u.positionText(l,n,g),l}}function b(t,e,r){s.ensureSingle(t,\"rect\",f.gripRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")})).attr({width:f.gripWidth,height:f.gripHeight,rx:f.gripRadius,ry:f.gripRadius}).call(a.stroke,r.bordercolor).call(a.fill,r.bgcolor).style(\"stroke-width\",r.borderwidth+\"px\")}function _(t,e,r){var n=s.ensureSingle(t,\"text\",f.labelClass,(function(t){t.attr({\"text-anchor\":\"middle\",\"data-notex\":1})})),i=e.step.label,a=r._gd._fullLayout._meta;return a&&(i=s.templateString(i,a)),n.call(o.font,r.font).text(i).call(u.convertToTspans,r._gd),n}function w(t,e){var r=s.ensureSingle(t,\"g\",f.labelsClass),i=e._dims,a=r.selectAll(\"g.\"+f.labelGroupClass).data(i.labelSteps);a.enter().append(\"g\").classed(f.labelGroupClass,!0),a.exit().remove(),a.each((function(t){var r=n.select(this);r.call(_,t,e),o.setTranslate(r,E(e,t.fraction),f.tickOffset+e.ticklen+e.font.size*p+f.labelOffset+i.currentValueTotalHeight)}))}function T(t,e,r,n,i){var a=Math.round(n*(r._stepCount-1)),o=r._visibleSteps[a]._index;o!==r.active&&k(t,e,r,o,!0,i)}function k(t,e,r,n,a,o){var s=r.active;r.active=n,c(t.layout,f.name,r).applyUpdate(\"active\",n);var l=r.steps[r.active];e.call(S,r,o),e.call(x,r),t.emit(\"plotly_sliderchange\",{slider:r,step:r.steps[r.active],interaction:a,previousActive:s}),l&&l.method&&a&&(e._nextMethod?(e._nextMethod.step=l,e._nextMethod.doCallback=a,e._nextMethod.doTransition=o):(e._nextMethod={step:l,doCallback:a,doTransition:o},e._nextMethodRaf=window.requestAnimationFrame((function(){var r=e._nextMethod.step;r.method&&(r.execute&&i.executeAPICommand(t,r.method,r.args),e._nextMethod=null,e._nextMethodRaf=null)}))))}function A(t,e,r){if(!e._context.staticPlot){var i=r.node(),o=n.select(e);t.on(\"mousedown\",l),t.on(\"touchstart\",l)}function s(){return r.data()[0]}function l(){var t=s();e.emit(\"plotly_sliderstart\",{slider:t});var 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q=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault(),n.event.sourceEvent.stopPropagation()})).on(\"drag\",this._onBarDrag.bind(this));k&&this.hbar.on(\".drag\",null).call(q),C&&this.vbar.on(\".drag\",null).call(q)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var 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t.append(\"path\").attr(\"class\",\"zoombox\").style({fill:e>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"transform\",u(r,n)).attr(\"d\",i+\"Z\")}function j(t,e,r){return t.append(\"path\").attr(\"class\",\"zoombox-corners\").style({fill:f.background,stroke:f.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"transform\",u(e,r)).attr(\"d\",\"M0,0Z\")}function U(t,e,r,n,i,a){t.attr(\"d\",n+\"M\"+r.l+\",\"+r.t+\"v\"+r.h+\"h\"+r.w+\"v-\"+r.h+\"h-\"+r.w+\"Z\"),V(t,e,i,a)}function V(t,e,r,n){r||(t.transition().style(\"fill\",n>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),e.transition().style(\"opacity\",1).duration(200))}function q(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}function H(t){O&&t.data&&t._context.showTips&&(i.notifier(i._(t,\"Double-click to zoom back out\"),\"long\"),O=!1)}function G(t){var e=Math.floor(Math.min(t.b-t.t,t.r-t.l,P)/2);return\"M\"+(t.l-3.5)+\",\"+(t.t-.5+e)+\"h3v\"+-e+\"h\"+e+\"v-3h-\"+(e+3)+\"ZM\"+(t.r+3.5)+\",\"+(t.t-.5+e)+\"h-3v\"+-e+\"h\"+-e+\"v-3h\"+(e+3)+\"ZM\"+(t.r+3.5)+\",\"+(t.b+.5-e)+\"h-3v\"+e+\"h\"+-e+\"v3h\"+(e+3)+\"ZM\"+(t.l-3.5)+\",\"+(t.b+.5-e)+\"h3v\"+e+\"h\"+e+\"v3h-\"+(e+3)+\"Z\"}function W(t,e,r,n,a){for(var o,s,l,u,c=!1,f={},h={},p=(a||{}).xaHash,d=(a||{}).yaHash,v=0;v<e.length;v++){var g=e[v];for(o in r)if(g[o]){for(l in g)a&&(p[l]||d[l])||(\"x\"===l.charAt(0)?r:n)[l]||(f[l]=o);for(s in n)a&&(p[s]||d[s])||!g[s]||(c=!0)}for(s in n)if(g[s])for(u in g)a&&(p[u]||d[u])||(\"x\"===u.charAt(0)?r:n)[u]||(h[u]=s)}c&&(i.extendFlat(f,h),h={});var y={},m=[];for(l in f){var x=k(t,l);m.push(x),y[x._id]=x}var b={},_=[];for(u in h){var w=k(t,u);_.push(w),b[w._id]=w}return{xaHash:y,yaHash:b,xaxes:m,yaxes:_,xLinks:f,yLinks:h,isSubplotConstrained:c}}function Y(t,e){if(s){var r=void 0!==t.onwheel?\"wheel\":\"mousewheel\";t._onwheel&&t.removeEventListener(r,t._onwheel),t._onwheel=e,t.addEventListener(r,e,{passive:!1})}else void 0!==t.onwheel?t.onwheel=e:void 0!==t.onmousewheel?t.onmousewheel=e:t.isAddedWheelEvent||(t.isAddedWheelEvent=!0,t.addEventListener(\"wheel\",e,{passive:!1}))}function X(t){var e=[];for(var r in t)e.push(t[r]);return e}t.exports={makeDragBox:function(t,e,r,s,u,f,v,y){var O,I,V,Z,K,J,$,Q,tt,et,rt,nt,it,at,ot,st,lt,ut,ct,ft,ht,pt,dt,vt=t._fullLayout._zoomlayer,gt=v+y===\"nsew\",yt=1===(v+y).length;function mt(){if(O=e.xaxis,I=e.yaxis,tt=O._length,et=I._length,$=O._offset,Q=I._offset,(V={})[O._id]=O,(Z={})[I._id]=I,v&&y)for(var r=e.overlays,n=0;n<r.length;n++){var i=r[n].xaxis;V[i._id]=i;var a=r[n].yaxis;Z[a._id]=a}K=X(V),J=X(Z),it=D(K,y),at=D(J,v),ot=!at&&!it,nt=W(t,t._fullLayout._axisMatchGroups,V,Z);var o=(rt=W(t,t._fullLayout._axisConstraintGroups,V,Z,nt)).isSubplotConstrained||nt.isSubplotConstrained;st=y||o,lt=v||o;var s=t._fullLayout;ut=s._has(\"scattergl\"),ct=s._has(\"splom\"),ft=s._has(\"svg\")}r+=e.yaxis._shift,mt();var xt=function(t,e,r){return t?\"nsew\"===t?r?\"\":\"pan\"===e?\"move\":\"crosshair\":t.toLowerCase()+\"-resize\":\"pointer\"}(at+it,t._fullLayout.dragmode,gt),bt=z(e,v+y+\"drag\",xt,r,s,u,f);if(ot&&!gt)return bt.onmousedown=null,bt.style.pointerEvents=\"none\",bt;var _t,wt,Tt,kt,At,Mt,St,Et,Lt,Ct,Pt={element:bt,gd:t,plotinfo:e};function Ot(){Pt.plotinfo.selection=!1,M(t)}function It(t,r){var i=Pt.gd;if(i._fullLayout._activeShapeIndex>=0)i._fullLayout._deactivateShape(i);else{var o=i._fullLayout.clickmode;if(q(i),2!==t||yt||Ht(),gt)o.indexOf(\"select\")>-1&&S(r,i,K,J,e.id,Pt),o.indexOf(\"event\")>-1&&p.click(i,r,e.id);else if(1===t&&yt){var s=v?I:O,u=\"s\"===v||\"w\"===y?0:1,f=s._name+\".range[\"+u+\"]\",h=function(t,e){var r,n=t.range[e],i=Math.abs(n-t.range[1-e]);return\"date\"===t.type?n:\"log\"===t.type?(r=Math.ceil(Math.max(0,-Math.log(i)/Math.LN10))+3,a(\".\"+r+\"g\")(Math.pow(10,n))):(r=Math.floor(Math.log(Math.abs(n))/Math.LN10)-Math.floor(Math.log(i)/Math.LN10)+4,a(\".\"+String(r)+\"g\")(n))}(s,u),d=\"left\",g=\"middle\";if(s.fixedrange)return;v?(g=\"n\"===v?\"top\":\"bottom\",\"right\"===s.side&&(d=\"right\")):\"e\"===y&&(d=\"right\"),i._context.showAxisRangeEntryBoxes&&n.select(bt).call(c.makeEditable,{gd:i,immediate:!0,background:i._fullLayout.paper_bgcolor,text:String(h),fill:s.tickfont?s.tickfont.color:\"#444\",horizontalAlign:d,verticalAlign:g}).on(\"edit\",(function(t){var e=s.d2r(t);void 0!==e&&l.call(\"_guiRelayout\",i,f,e)}))}}}function zt(e,r){if(t._transitioningWithDuration)return!1;var n=Math.max(0,Math.min(tt,pt*e+_t)),i=Math.max(0,Math.min(et,dt*r+wt)),a=Math.abs(n-_t),o=Math.abs(i-wt);function s(){St=\"\",Tt.r=Tt.l,Tt.t=Tt.b,Lt.attr(\"d\",\"M0,0Z\")}if(Tt.l=Math.min(_t,n),Tt.r=Math.max(_t,n),Tt.t=Math.min(wt,i),Tt.b=Math.max(wt,i),rt.isSubplotConstrained)a>P||o>P?(St=\"xy\",a/tt>o/et?(o=a*et/tt,wt>i?Tt.t=wt-o:Tt.b=wt+o):(a=o*tt/et,_t>n?Tt.l=_t-a:Tt.r=_t+a),Lt.attr(\"d\",G(Tt))):s();else if(nt.isSubplotConstrained)if(a>P||o>P){St=\"xy\";var l=Math.min(Tt.l/tt,(et-Tt.b)/et),u=Math.max(Tt.r/tt,(et-Tt.t)/et);Tt.l=l*tt,Tt.r=u*tt,Tt.b=(1-l)*et,Tt.t=(1-u)*et,Lt.attr(\"d\",G(Tt))}else s();else!at||o<Math.min(Math.max(.6*a,C),P)?a<C||!it?s():(Tt.t=0,Tt.b=et,St=\"x\",Lt.attr(\"d\",function(t,e){return\"M\"+(t.l-.5)+\",\"+(e-P-.5)+\"h-3v\"+(2*P+1)+\"h3ZM\"+(t.r+.5)+\",\"+(e-P-.5)+\"h3v\"+(2*P+1)+\"h-3Z\"}(Tt,wt))):!it||a<Math.min(.6*o,P)?(Tt.l=0,Tt.r=tt,St=\"y\",Lt.attr(\"d\",function(t,e){return\"M\"+(e-P-.5)+\",\"+(t.t-.5)+\"v-3h\"+(2*P+1)+\"v3ZM\"+(e-P-.5)+\",\"+(t.b+.5)+\"v3h\"+(2*P+1)+\"v-3Z\"}(Tt,_t))):(St=\"xy\",Lt.attr(\"d\",G(Tt)));Tt.w=Tt.r-Tt.l,Tt.h=Tt.b-Tt.t,St&&(Ct=!0),t._dragged=Ct,U(Et,Lt,Tt,At,Mt,kt),Dt(),t.emit(\"plotly_relayouting\",ht),Mt=!0}function Dt(){ht={},\"xy\"!==St&&\"x\"!==St||(R(K,Tt.l/tt,Tt.r/tt,ht,rt.xaxes),Vt(\"x\",ht)),\"xy\"!==St&&\"y\"!==St||(R(J,(et-Tt.b)/et,(et-Tt.t)/et,ht,rt.yaxes),Vt(\"y\",ht))}function Rt(){Dt(),q(t),Gt(),H(t)}Pt.prepFn=function(e,r,n){var a=Pt.dragmode,s=t._fullLayout.dragmode;s!==a&&(Pt.dragmode=s),mt(),pt=t._fullLayout._invScaleX,dt=t._fullLayout._invScaleY,ot||(gt?e.shiftKey?\"pan\"===s?s=\"zoom\":m(s)||(s=\"pan\"):e.ctrlKey&&(s=\"pan\"):s=\"pan\"),x(s)?Pt.minDrag=1:Pt.minDrag=void 0,m(s)?(Pt.xaxes=K,Pt.yaxes=J,A(e,r,n,Pt,s)):(Pt.clickFn=It,m(a)&&Ot(),ot||(\"zoom\"===s?(Pt.moveFn=zt,Pt.doneFn=Rt,Pt.minDrag=1,function(e,r,n){var a=bt.getBoundingClientRect();_t=r-a.left,wt=n-a.top,t._fullLayout._calcInverseTransform(t);var s=i.apply3DTransform(t._fullLayout._invTransform)(_t,wt);_t=s[0],wt=s[1],Tt={l:_t,r:_t,w:0,t:wt,b:wt,h:0},kt=t._hmpixcount?t._hmlumcount/t._hmpixcount:o(t._fullLayout.plot_bgcolor).getLuminance(),Mt=!1,St=\"xy\",Ct=!1,Et=N(vt,kt,$,Q,At=\"M0,0H\"+tt+\"V\"+et+\"H0V0\"),Lt=j(vt,$,Q)}(0,r,n)):\"pan\"===s&&(Pt.moveFn=Ut,Pt.doneFn=Gt))),t._fullLayout._redrag=function(){var e=t._dragdata;if(e&&e.element===bt){var r=t._fullLayout.dragmode;m(r)||(mt(),Wt([0,0,tt,et]),Pt.moveFn(e.dx,e.dy))}}},g.init(Pt);var Ft=[0,0,tt,et],Bt=null,Nt=L.REDRAWDELAY,jt=e.mainplot?t._fullLayout._plots[e.mainplot]:e;function Ut(e,r){if(e*=pt,r*=dt,!t._transitioningWithDuration){if(t._fullLayout._replotting=!0,\"ew\"===it||\"ns\"===at){var n=it?-e:0,i=at?-r:0;if(nt.isSubplotConstrained){if(it&&at){var a=(e/tt-r/et)/2;n=-(e=a*tt),i=-(r=-a*et)}at?n=-i*tt/et:i=-n*et/tt}return it&&(F(K,e),Vt(\"x\")),at&&(F(J,r),Vt(\"y\")),Wt([n,i,tt,et]),qt(),void t.emit(\"plotly_relayouting\",ht)}var o,s,l=\"w\"===it==(\"n\"===at)?1:-1;if(it&&at&&(rt.isSubplotConstrained||nt.isSubplotConstrained)){var u=(e/tt+l*r/et)/2;e=u*tt,r=l*u*et}if(\"w\"===it?e=p(K,0,e):\"e\"===it?e=p(K,1,-e):it||(e=0),\"n\"===at?r=p(J,1,r):\"s\"===at?r=p(J,0,-r):at||(r=0),o=\"w\"===it?e:0,s=\"n\"===at?r:0,rt.isSubplotConstrained&&!nt.isSubplotConstrained||nt.isSubplotConstrained&&it&&at&&l>0){var c;if(nt.isSubplotConstrained||!it&&1===at.length){for(c=0;c<K.length;c++)K[c].range=K[c]._r.slice(),E(K[c],1-r/et);o=(e=r*tt/et)/2}if(nt.isSubplotConstrained||!at&&1===it.length){for(c=0;c<J.length;c++)J[c].range=J[c]._r.slice(),E(J[c],1-e/tt);s=(r=e*et/tt)/2}}nt.isSubplotConstrained&&at||Vt(\"x\"),nt.isSubplotConstrained&&it||Vt(\"y\");var f=tt-e,h=et-r;!nt.isSubplotConstrained||it&&at||(it?(s=o?0:e*et/tt,h=f*et/tt):(o=s?0:r*tt/et,f=h*tt/et)),Wt([o,s,f,h]),qt(),t.emit(\"plotly_relayouting\",ht)}function p(t,e,r){for(var n,i,a=1-e,o=0;o<t.length;o++){var s=t[o];if(!s.fixedrange){n=s,i=s._rl[a]+(s._rl[e]-s._rl[a])/B(r/s._length);var l=s.l2r(i);!1!==l&&void 0!==l&&(s.range[e]=l)}}return n._length*(n._rl[e]-i)/(n._rl[e]-n._rl[a])}}function Vt(t,e){for(var r=nt.isSubplotConstrained?{x:J,y:K}[t]:nt[t+\"axes\"],n=nt.isSubplotConstrained?{x:K,y:J}[t]:[],i=0;i<r.length;i++){var a=r[i],o=a._id,s=nt.xLinks[o]||nt.yLinks[o],l=n[0]||V[s]||Z[s];l&&(e?(e[a._name+\".range[0]\"]=e[l._name+\".range[0]\"],e[a._name+\".range[1]\"]=e[l._name+\".range[1]\"]):a.range=l.range.slice())}}function qt(){var r,n=[];function i(t){for(r=0;r<t.length;r++)t[r].fixedrange||n.push(t[r]._id)}function a(t,e){for(r=0;r<t.length;r++){var i=t[r],a=i[e];i.fixedrange||\"sync\"!==a.tickmode||n.push(a._id)}}for(st&&(i(K),i(rt.xaxes),i(nt.xaxes),a(e.overlays,\"xaxis\")),lt&&(i(J),i(rt.yaxes),i(nt.yaxes),a(e.overlays,\"yaxis\")),ht={},r=0;r<n.length;r++){var o=n[r],s=k(t,o);d.drawOne(t,s,{skipTitle:!0}),ht[s._name+\".range[0]\"]=s.range[0],ht[s._name+\".range[1]\"]=s.range[1]}d.redrawComponents(t,n)}function Ht(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];it&&(r=r.concat(K)),at&&(r=r.concat(J)),nt.xaxes&&(r=r.concat(nt.xaxes)),nt.yaxes&&(r=r.concat(nt.yaxes));var n,i,a={};if(\"reset+autosize\"===e)for(e=\"autosize\",i=0;i<r.length;i++){var o=(n=r[i])._rangeInitial0,s=n._rangeInitial1,u=void 0!==o||void 0!==s;if(u&&(void 0!==o&&o!==n.range[0]||void 0!==s&&s!==n.range[1])||!u&&!0!==n.autorange){e=\"reset\";break}}if(\"autosize\"===e)for(i=0;i<r.length;i++)(n=r[i]).fixedrange||(a[n._name+\".autorange\"]=!0);else if(\"reset\"===e)for((it||rt.isSubplotConstrained)&&(r=r.concat(rt.xaxes)),at&&!rt.isSubplotConstrained&&(r=r.concat(rt.yaxes)),rt.isSubplotConstrained&&(it?at||(r=r.concat(J)):r=r.concat(K)),i=0;i<r.length;i++)if(!(n=r[i]).fixedrange){var c=n._name,f=n._autorangeInitial;void 0===n._rangeInitial0&&void 0===n._rangeInitial1?a[c+\".autorange\"]=!0:void 0===n._rangeInitial0?(a[c+\".autorange\"]=f,a[c+\".range\"]=[null,n._rangeInitial1]):void 0===n._rangeInitial1?(a[c+\".range\"]=[n._rangeInitial0,null],a[c+\".autorange\"]=f):a[c+\".range\"]=[n._rangeInitial0,n._rangeInitial1]}t.emit(\"plotly_doubleclick\",null),l.call(\"_guiRelayout\",t,a)}}function Gt(){Wt([0,0,tt,et]),i.syncOrAsync([T.previousPromises,function(){t._fullLayout._replotting=!1,l.call(\"_guiRelayout\",t,ht)}],t)}function Wt(e){var r,n,a,o,s=t._fullLayout,u=s._plots,c=s._subplots.cartesian;if(ct&&l.subplotsRegistry.splom.drag(t),ut)for(r=0;r<c.length;r++)if(a=(n=u[c[r]]).xaxis,o=n.yaxis,n._scene){var f=i.simpleMap(a.range,a.r2l),p=i.simpleMap(o.range,o.r2l);a.limitRange&&a.limitRange(),o.limitRange&&o.limitRange(),f=a.range,p=o.range,n._scene.update({range:[f[0],p[0],f[1],p[1]]})}if((ct||ut)&&(_(t),w(t)),ft){var d=e[2]/O._length,g=e[3]/I._length;for(r=0;r<c.length;r++){a=(n=u[c[r]]).xaxis,o=n.yaxis;var m,x,b,T,k=(st||nt.isSubplotConstrained)&&!a.fixedrange&&V[a._id],A=(lt||nt.isSubplotConstrained)&&!o.fixedrange&&Z[o._id];if(k?(m=d,b=y||nt.isSubplotConstrained?e[0]:Zt(a,m)):nt.xaHash[a._id]?(m=d,b=e[0]*a._length/O._length):nt.yaHash[a._id]?(m=g,b=\"ns\"===at?-e[1]*a._length/I._length:Zt(a,m,{n:\"top\",s:\"bottom\"}[at])):b=Xt(a,m=Yt(a,d,g)),m>1&&(void 0!==a.maxallowed&&st===(a.range[0]<a.range[1]?\"e\":\"w\")||void 0!==a.minallowed&&st===(a.range[0]<a.range[1]?\"w\":\"e\"))&&(m=1,b=0),A?(x=g,T=v||nt.isSubplotConstrained?e[1]:Zt(o,x)):nt.yaHash[o._id]?(x=g,T=e[1]*o._length/I._length):nt.xaHash[o._id]?(x=d,T=\"ew\"===it?-e[0]*o._length/O._length:Zt(o,x,{e:\"right\",w:\"left\"}[it])):T=Xt(o,x=Yt(o,d,g)),x>1&&(void 0!==o.maxallowed&&lt===(o.range[0]<o.range[1]?\"n\":\"s\")||void 0!==o.minallowed&&lt===(o.range[0]<o.range[1]?\"s\":\"n\"))&&(x=1,T=0),m||x){m||(m=1),x||(x=1);var M=a._offset-b/m,S=o._offset-T/x;n.clipRect.call(h.setTranslate,b,T).call(h.setScale,m,x),n.plot.call(h.setTranslate,M,S).call(h.setScale,1/m,1/x),m===n.xScaleFactor&&x===n.yScaleFactor||(h.setPointGroupScale(n.zoomScalePts,m,x),h.setTextPointsScale(n.zoomScaleTxt,m,x)),h.hideOutsideRangePoints(n.clipOnAxisFalseTraces,n),n.xScaleFactor=m,n.yScaleFactor=x}}}}function Yt(t,e,r){return t.fixedrange?0:st&&rt.xaHash[t._id]?e:lt&&(rt.isSubplotConstrained?rt.xaHash:rt.yaHash)[t._id]?r:0}function Xt(t,e){return e?(t.range=t._r.slice(),E(t,e),Zt(t,e)):0}function Zt(t,e,r){return t._length*(1-e)*b[r||t.constraintoward||\"middle\"]}return v.length*y.length!=1&&Y(bt,(function(e){if(t._context._scrollZoom.cartesian||t._fullLayout._enablescrollzoom){if(Ot(),t._transitioningWithDuration)return e.preventDefault(),void e.stopPropagation();mt(),clearTimeout(Bt);var r=-e.deltaY;if(isFinite(r)||(r=e.wheelDelta/10),isFinite(r)){var 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r,i={r:e.rotate(),k:e.scale()},a=c(0,e),h=function(t){for(var e=0,r=arguments.length,i=[];++e<r;)i.push(arguments[e]);var a=n.dispatch.apply(null,i);return a.of=function(e,r){return function(i){var o;try{o=i.sourceEvent=n.event,i.target=t,n.event=i,a[i.type].apply(e,r)}finally{n.event=o}}},a}(a,\"zoomstart\",\"zoom\",\"zoomend\"),p=0,d=a.on;function y(t){var r=e.rotate();t(\"projection.rotation.lon\",-r[0]),t(\"projection.rotation.lat\",-r[1])}return a.on(\"zoomstart\",(function(){n.select(this).style(l);var t,u,c,f,y,b,_,w,T,k,A,M=n.mouse(this),S=e.rotate(),E=S,L=e.translate(),C=(u=.5*(t=S)[0]*o,c=.5*t[1]*o,f=.5*t[2]*o,y=Math.sin(u),b=Math.cos(u),_=Math.sin(c),w=Math.cos(c),T=Math.sin(f),[b*w*(k=Math.cos(f))+y*_*T,y*w*k-b*_*T,b*_*k+y*w*T,b*w*T-y*_*k]);r=v(e,M),d.call(a,\"zoom\",(function(){var t,a,o,l,u,c,f,p,d,y,b=n.mouse(this);if(e.scale(i.k=n.event.scale),r){if(v(e,b)){e.rotate(S).translate(L);var _=v(e,b),w=function(t,e){if(t&&e){var r=function(t,e){return[t[1]*e[2]-t[2]*e[1],t[2]*e[0]-t[0]*e[2],t[0]*e[1]-t[1]*e[0]]}(t,e),n=Math.sqrt(x(r,r)),i=.5*Math.acos(Math.max(-1,Math.min(1,x(t,e)))),a=Math.sin(i)/n;return n&&[Math.cos(i),r[2]*a,-r[1]*a,r[0]*a]}}(r,_),T=function(t){return[Math.atan2(2*(t[0]*t[1]+t[2]*t[3]),1-2*(t[1]*t[1]+t[2]*t[2]))*s,Math.asin(Math.max(-1,Math.min(1,2*(t[0]*t[2]-t[3]*t[1]))))*s,Math.atan2(2*(t[0]*t[3]+t[1]*t[2]),1-2*(t[2]*t[2]+t[3]*t[3]))*s]}((o=(t=C)[0],l=t[1],u=t[2],c=t[3],[o*(f=(a=w)[0])-l*(p=a[1])-u*(d=a[2])-c*(y=a[3]),o*p+l*f+u*y-c*d,o*d-l*y+u*f+c*p,o*y+l*d-u*p+c*f])),k=i.r=function(t,e,r){var n=m(e,2,t[0]);n=m(n,1,t[1]),n=m(n,0,t[2]-r[2]);var i,a,o=e[0],l=e[1],u=e[2],c=n[0],f=n[1],h=n[2],p=Math.atan2(l,o)*s,d=Math.sqrt(o*o+l*l);Math.abs(f)>d?(a=(f>0?90:-90)-p,i=0):(a=Math.asin(f/d)*s-p,i=Math.sqrt(d*d-f*f));var v=180-a-2*p,y=(Math.atan2(h,c)-Math.atan2(u,i))*s,x=(Math.atan2(h,c)-Math.atan2(u,-i))*s;return g(r[0],r[1],a,y)<=g(r[0],r[1],v,x)?[a,y,r[2]]:[v,x,r[2]]}(T,r,E);isFinite(k[0])&&isFinite(k[1])&&isFinite(k[2])||(k=E),e.rotate(k),E=k}}else r=v(e,M=b);h.of(this,arguments)({type:\"zoom\"})})),A=h.of(this,arguments),p++||A({type:\"zoomstart\"})})).on(\"zoomend\",(function(){var r;n.select(this).style(u),d.call(a,\"zoom\",null),r=h.of(this,arguments),--p||r({type:\"zoomend\"}),f(t,e,y)})).on(\"zoom.redraw\",(function(){t.render(!0);var r=e.rotate();t.graphDiv.emit(\"plotly_relayouting\",{\"geo.projection.scale\":e.scale()/t.fitScale,\"geo.projection.rotation.lon\":-r[0],\"geo.projection.rotation.lat\":-r[1]})})),n.rebind(a,h,\"on\")}function v(t,e){var r=t.invert(e);return r&&isFinite(r[0])&&isFinite(r[1])&&function(t){var e=t[0]*o,r=t[1]*o,n=Math.cos(r);return[n*Math.cos(e),n*Math.sin(e),Math.sin(r)]}(r)}function g(t,e,r,n){var i=y(r-t),a=y(n-e);return Math.sqrt(i*i+a*a)}function y(t){return(t%360+540)%360-180}function m(t,e,r){var n=r*o,i=t.slice(),a=0===e?1:0,s=2===e?1:2,l=Math.cos(n),u=Math.sin(n);return i[a]=t[a]*l-t[s]*u,i[s]=t[s]*l+t[a]*u,i}function x(t,e){for(var r=0,n=0,i=t.length;n<i;++n)r+=t[n]*e[n];return r}t.exports=function(t,e){var r=t.projection;return(e._isScoped?h:e._isClipped?d:p)(t,r)}},84888:function(t,e,r){\"use strict\";var n=r(24040),i=r(33816).SUBPLOT_PATTERN;e.KY=function(t,e,r){var i=n.subplotsRegistry[e];if(!i)return[];for(var a=i.attr,o=[],s=0;s<t.length;s++){var l=t[s];l[0].trace[a]===r&&o.push(l)}return o},e._M=function(t,e,r){var i,a=[],o=[];if(!(i=\"string\"==typeof e?n.getModule(e).plot:\"function\"==typeof e?e:e.plot))return[a,t];for(var s=r,l=0;l<t.length;l++){var u=t[l],c=u[0].trace,f=void 0!==c.zorder;!0===c.visible&&0!==c._length&&(!c._module||c._module.plot!==i||f&&c.zorder!==s?o.push(u):a.push(u))}return[a,o]},e.op=function(t,e,r){if(!n.subplotsRegistry[e])return[];var a,o,s,l=n.subplotsRegistry[e].attr,u=[];if(\"gl2d\"===e){var c=r.match(i);o=\"x\"+c[1],s=\"y\"+c[2]}for(var f=0;f<t.length;f++)a=t[f],\"gl2d\"===e&&n.traceIs(a,\"gl2d\")?a[l[0]]===o&&a[l[1]]===s&&u.push(a):a[l]===r&&u.push(a);return u}},2428:function(t,e,r){\"use strict\";var n=r(62644),i=r(97264),a=r(29128),o=r(33816),s=r(89184);function l(t,e){this.element=t,this.plot=e,this.mouseListener=null,this.wheelListener=null,this.lastInputTime=Date.now(),this.lastPos=[0,0],this.boxEnabled=!1,this.boxInited=!1,this.boxStart=[0,0],this.boxEnd=[0,0],this.dragStart=[0,0]}t.exports=function(t){var e=t.mouseContainer,r=t.glplot,u=new l(e,r);function c(){t.xaxis.autorange=!1,t.yaxis.autorange=!1}function f(e,n,i){var a,s,l=t.calcDataBox(),f=r.viewBox,h=u.lastPos[0],p=u.lastPos[1],d=o.MINDRAG*r.pixelRatio,v=o.MINZOOM*r.pixelRatio;function g(e,r,n){var i=Math.min(r,n),a=Math.max(r,n);i!==a?(l[e]=i,l[e+2]=a,u.dataBox=l,t.setRanges(l)):(t.selectBox.selectBox=[0,0,1,1],t.glplot.setDirty())}switch(n*=r.pixelRatio,i*=r.pixelRatio,i=f[3]-f[1]-i,t.fullLayout.dragmode){case\"zoom\":if(e){var y=n/(f[2]-f[0])*(l[2]-l[0])+l[0],m=i/(f[3]-f[1])*(l[3]-l[1])+l[1];u.boxInited||(u.boxStart[0]=y,u.boxStart[1]=m,u.dragStart[0]=n,u.dragStart[1]=i),u.boxEnd[0]=y,u.boxEnd[1]=m,u.boxInited=!0,u.boxEnabled||u.boxStart[0]===u.boxEnd[0]&&u.boxStart[1]===u.boxEnd[1]||(u.boxEnabled=!0);var x=Math.abs(u.dragStart[0]-n)<v,b=Math.abs(u.dragStart[1]-i)<v;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&&(u.boxEnd[0]=u.boxStart[0]),b&&(u.boxEnd[1]=u.boxStart[1]);else{a=u.boxEnd[0]-u.boxStart[0],s=u.boxEnd[1]-u.boxStart[1];var _=(l[3]-l[1])/(l[2]-l[0]);Math.abs(a*_)>Math.abs(s)?(u.boxEnd[1]=u.boxStart[1]+Math.abs(a)*_*(s>=0?1:-1),u.boxEnd[1]<l[1]?(u.boxEnd[1]=l[1],u.boxEnd[0]=u.boxStart[0]+(l[1]-u.boxStart[1])/Math.abs(_)):u.boxEnd[1]>l[3]&&(u.boxEnd[1]=l[3],u.boxEnd[0]=u.boxStart[0]+(l[3]-u.boxStart[1])/Math.abs(_))):(u.boxEnd[0]=u.boxStart[0]+Math.abs(s)/_*(a>=0?1:-1),u.boxEnd[0]<l[0]?(u.boxEnd[0]=l[0],u.boxEnd[1]=u.boxStart[1]+(l[0]-u.boxStart[0])*Math.abs(_)):u.boxEnd[0]>l[2]&&(u.boxEnd[0]=l[2],u.boxEnd[1]=u.boxStart[1]+(l[2]-u.boxStart[0])*Math.abs(_)))}}else u.boxEnabled?(a=u.boxStart[0]!==u.boxEnd[0],s=u.boxStart[1]!==u.boxEnd[1],a||s?(a&&(g(0,u.boxStart[0],u.boxEnd[0]),t.xaxis.autorange=!1),s&&(g(1,u.boxStart[1],u.boxEnd[1]),t.yaxis.autorange=!1),t.relayoutCallback()):t.glplot.setDirty(),u.boxEnabled=!1,u.boxInited=!1):u.boxInited&&(u.boxInited=!1);break;case\"pan\":u.boxEnabled=!1,u.boxInited=!1,e?(u.panning||(u.dragStart[0]=n,u.dragStart[1]=i),Math.abs(u.dragStart[0]-n)<d&&(n=u.dragStart[0]),Math.abs(u.dragStart[1]-i)<d&&(i=u.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),u.panning=!0,u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations()):u.panning&&(u.panning=!1,t.relayoutCallback())}u.lastPos[0]=n,u.lastPos[1]=i}return u.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,u.lastPos[0],u.lastPos[1]),t.preventDefault()}),!!s&&{passive:!1}),u.wheelListener=i(e,(function(e,n){if(!t.scrollZoom)return!1;var i=t.calcDataBox(),a=r.viewBox,o=u.lastPos[0],s=u.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),u.lastInputTime=Date.now(),c(),t.cameraChanged(),t.handleAnnotations(),t.relayoutCallback(),!0}),!0),u}},92568:function(t,e,r){\"use strict\";var n=r(54460),i=r(43080);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,u,c,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;u=this.hasSharedAxis(r),o=this.hasAxisInDfltPos(e,r)&&!u,l=this.hasAxisInAltrPos(e,r)&&!u,a=r.mirror||!1,c=u?-1!==String(a).indexOf(\"all\"):!!a,f=u?\"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||c)&&(this.borderLineEnable[h]=r.showline),(l||c)&&(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=1.5,n=e.title.font.size,i=e.showticklabels;return\"xaxis\"===t?\"top\"===e.side?n*(r+(i?1:0))-10:n*(r+(i?.5:0))-10:\"yaxis\"===t?\"right\"===e.side?10+n*(r+(i?1:.5)):10+n*(r+(i?.5:0)):void 0},o.getTickPad=function(t){return\"outside\"===t.ticks?10+t.ticklen:15},o.getTickMarkLength=function(t){if(!t.ticks)return 0;var e=t.ticklen;return\"inside\"===t.ticks?-e:e},t.exports=function(t){return new a(t)}},39952:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(17188),a=r(64859),o=r(9616),s=r(33816),l=r(57952),u=r(65460),c=r(84888).op;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(26720),e.supplyLayoutDefaults=function(t,e,r){e._has(\"cartesian\")||l.supplyLayoutDefaults(t,e,r)},e.layoutAttrOverrides=n(l.layoutAttributes,\"plot\",\"from-root\"),e.baseLayoutAttrOverrides=n({plot_bgcolor:a.plot_bgcolor,hoverlabel:u.hoverlabel},\"plot\",\"nested\"),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl2d,a=0;a<n.length;a++){var o=n[a],s=e._plots[o],l=c(r,\"gl2d\",o),u=s._scene2d;void 0===u&&(u=new i({id:o,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio},e),s._scene2d=u),u.plot(l,t.calcdata,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots.gl2d||[],a=0;a<i.length;a++){var o=i[a],s=n._plots[o];s._scene2d&&0===c(t,\"gl2d\",o).length&&(s._scene2d.destroy(),delete n._plots[o])}l.clean.apply(this,arguments)},e.drawFramework=function(t){t._context.staticPlot||l.drawFramework(t)},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++){var i=e._plots[r[n]]._scene2d,a=i.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":a,x:0,y:0,width:\"100%\",height:\"100%\",preserveAspectRatio:\"none\"}),i.destroy()}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl2d,n=0;n<r.length;n++)e._plots[r[n]]._scene2d.updateFx(e.dragmode)}},17188:function(t,e,r){\"use strict\";var n,i,a=r(24040),o=r(54460),s=r(93024),l=r(67792).gl_plot2d,u=r(67792).gl_spikes2d,c=r(67792).gl_select_box,f=r(5408),h=r(92568),p=r(2428),d=r(16576),v=r(71888),g=v.enforce,y=v.clean,m=r(19280).doAutoRange,x=r(72760),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(33816).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=u(this.glplot),this.selectBox=c(this.glplot,{innerFill:!1,outerFill:!0}),this.lastButtonState=0,this.pickResult=null,this.isMouseOver=!0,this.stopped=!1,this.redraw=this.draw.bind(this),this.redraw())}t.exports=k;var A=k.prototype;A.makeFramework=function(){if(this.staticPlot){if(!(i||(n=document.createElement(\"canvas\"),i=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 u=0;u<4;++u){var c=a[4*(r*o+l)+u];a[4*(r*o+l)+u]=a[4*(r*s+l)+u],a[4*(r*s+l)+u]=c}var f=document.createElement(\"canvas\");f.width=r,f.height=i;var h,p=f.getContext(\"2d\",{willReadFrequently:!0}),d=p.createImageData(r,i);switch(d.data.set(a),p.putImageData(d,0,0),t){case\"jpeg\":h=f.toDataURL(\"image/jpeg\");break;case\"webp\":h=f.toDataURL(\"image/webp\");break;default:h=f.toDataURL(\"image/png\")}return this.staticPlot&&this.container.removeChild(n),h},A.updateSize=function(t){t||(t=this.canvas);var e=this.pixelRatio,r=this.fullLayout,n=r.width,i=r.height,a=0|Math.ceil(e*n),o=0|Math.ceil(e*i);return t.width===a&&t.height===o||(t.width=a,t.height=o),t},A.computeTickMarks=function(){this.xaxis.setScale(),this.yaxis.setScale();for(var t=[o.calcTicks(this.xaxis),o.calcTicks(this.yaxis)],e=0;e<2;++e)for(var r=0;r<t[e].length;++r)t[e][r].text=t[e][r].text+\"\";return t},A.updateRefs=function(t){this.fullLayout=t;var e=this.id.match(T),r=\"xaxis\"+e[1],n=\"yaxis\"+e[2];this.xaxis=this.fullLayout[r],this.yaxis=this.fullLayout[n]},A.relayoutCallback=function(){var t=this.graphDiv,e=this.xaxis,r=this.yaxis,n=t.layout,i={},o=i[e._name+\".range\"]=e.range.slice(),s=i[r._name+\".range\"]=r.range.slice();i[e._name+\".autorange\"]=e.autorange,i[r._name+\".autorange\"]=r.autorange,a.call(\"_storeDirectGUIEdit\",t.layout,t._fullLayout._preGUI,i);var l=n[e._name];l.range=o,l.autorange=e.autorange;var u=n[r._name];u.range=s,u.autorange=r.autorange,i.lastInputTime=this.camera.lastInputTime,t.emit(\"plotly_relayout\",i)},A.cameraChanged=function(){var t=this.camera;this.glplot.setDataBox(this.calcDataBox());var e=this.computeTickMarks();(function(t,e){for(var r=0;r<2;++r){var n=t[r],i=e[r];if(n.length!==i.length)return!0;for(var a=0;a<n.length;++a)if(n[a].x!==i[a].x)return!0}return!1})(e,this.glplotOptions.ticks)&&(this.glplotOptions.ticks=e,this.glplotOptions.dataBox=t.dataBox,this.glplot.update(this.glplotOptions),this.handleAnnotations())},A.handleAnnotations=function(){for(var t=this.graphDiv,e=this.fullLayout.annotations,r=0;r<e.length;r++){var n=e[r];n.xref===this.xaxis._id&&n.yref===this.yaxis._id&&a.getComponentMethod(\"annotations\",\"drawOne\")(t,r)}},A.destroy=function(){if(this.glplot){var t=this.traces;t&&Object.keys(t).map((function(e){t[e].dispose(),delete t[e]})),this.glplot.dispose(),this.container.removeChild(this.svgContainer),this.container.removeChild(this.mouseContainer),this.fullData=null,this.glplot=null,this.stopped=!0,this.camera.mouseListener.enabled=!1,this.mouseContainer.removeEventListener(\"wheel\",this.camera.wheelListener),this.camera=null}},A.plot=function(t,e,r){var n=this.glplot;this.updateRefs(r),this.xaxis.clearCalc(),this.yaxis.clearCalc(),this.updateTraces(t,e),this.updateFx(r.dragmode);var i=r.width,a=r.height;this.updateSize(this.canvas);var o=this.glplotOptions;o.merge(r),o.screenBox=[0,0,i,a];var s={_fullLayout:{_axisConstraintGroups:r._axisConstraintGroups,xaxis:this.xaxis,yaxis:this.yaxis,_size:r._size}};y(s,this.xaxis),y(s,this.yaxis);var l,u,c=r._size,f=this.xaxis.domain,h=this.yaxis.domain;for(o.viewBox=[c.l+f[0]*c.w,c.b+h[0]*c.h,i-c.r-(1-f[1])*c.w,a-c.t-(1-h[1])*c.h],this.mouseContainer.style.width=c.w*(f[1]-f[0])+\"px\",this.mouseContainer.style.height=c.h*(h[1]-h[0])+\"px\",this.mouseContainer.height=c.h*(h[1]-h[0]),this.mouseContainer.style.left=c.l+f[0]*c.w+\"px\",this.mouseContainer.style.top=c.t+(1-h[1])*c.h+\"px\",u=0;u<2;++u)(l=this[w[u]])._length=o.viewBox[u+2]-o.viewBox[u],m(this.graphDiv,l),l.setScale();g(s),o.ticks=this.computeTickMarks(),o.dataBox=this.calcDataBox(),o.merge(r),n.update(o),this.glplot.draw()},A.calcDataBox=function(){var t=this.xaxis,e=this.yaxis,r=t.range,n=e.range,i=t.r2l,a=e.r2l;return[i(r[0]),a(n[0]),i(r[1]),a(n[1])]},A.setRanges=function(t){var e=this.xaxis,r=this.yaxis,n=e.l2r,i=r.l2r;e.range=[n(t[0]),n(t[2])],r.range=[i(t[1]),i(t[3])]},A.updateTraces=function(t,e){var r,n,i,a=Object.keys(this.traces);this.fullData=t;t:for(r=0;r<a.length;r++){var o=a[r],s=this.traces[o];for(n=0;n<t.length;n++)if((i=t[n]).uid===o&&i.type===s.type)continue t;s.dispose(),delete this.traces[o]}for(r=0;r<t.length;r++){i=t[r];var l=e[r],u=this.traces[i.uid];u?u.update(i,l):(u=i._module.plot(this,i,l),this.traces[i.uid]=u)}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 u=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])],c=0;c<2;c++)e.boxStart[c]===e.boxEnd[c]&&(u[c]=t.dataBox[c],u[c+2]=t.dataBox[c+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 v=d;this.lastPickResult={traceUid:d.trace?d.trace.uid:null,dataCoord:d.dataCoord.slice()},this.spikes.update({center:a.dataCoord}),v.screenCoord=[((t.viewBox[2]-t.viewBox[0])*(a.dataCoord[0]-t.dataBox[0])/(t.dataBox[2]-t.dataBox[0])+t.viewBox[0])/t.pixelRatio,(this.canvas.height-(t.viewBox[3]-t.viewBox[1])*(a.dataCoord[1]-t.dataBox[1])/(t.dataBox[3]-t.dataBox[1])-t.viewBox[1])/t.pixelRatio],this.emitPointAction(d,\"plotly_hover\");var g=this.fullData[v.trace.index]||{},y=v.pointIndex,m=s.castHoverinfo(g,i,y);if(m&&\"all\"!==m){var x=m.split(\"+\");-1===x.indexOf(\"x\")&&(v.traceCoord[0]=void 0),-1===x.indexOf(\"y\")&&(v.traceCoord[1]=void 0),-1===x.indexOf(\"z\")&&(v.traceCoord[2]=void 0),-1===x.indexOf(\"text\")&&(v.textLabel=void 0),-1===x.indexOf(\"name\")&&(v.name=void 0)}s.loneHover({x:v.screenCoord[0],y:v.screenCoord[1],xLabel:this.hoverFormatter(\"xaxis\",v.traceCoord[0]),yLabel:this.hoverFormatter(\"yaxis\",v.traceCoord[1]),zLabel:v.traceCoord[2],text:v.textLabel,name:v.name,color:s.castHoverOption(g,y,\"bgcolor\")||v.color,borderColor:s.castHoverOption(g,y,\"bordercolor\"),fontFamily:s.castHoverOption(g,y,\"font.family\"),fontSize:s.castHoverOption(g,y,\"font.size\"),fontColor:s.castHoverOption(g,y,\"font.color\"),nameLength:s.castHoverOption(g,y,\"namelength\"),textAlign:s.castHoverOption(g,y,\"align\")},{container:this.svgContainer,gd:this.graphDiv})}}a||this.unhover(),t.draw()}},A.unhover=function(){this.lastPickResult&&(this.spikes.update({}),this.lastPickResult=null,this.graphDiv.emit(\"plotly_unhover\"),s.loneUnhover(this.svgContainer))},A.hoverFormatter=function(t,e){if(void 0!==e){var r=this[t];return o.tickText(r,r.c2l(e),\"hover\").text}}},12536:function(t,e,r){\"use strict\";var n=r(67824).overrideAll,i=r(65460),a=r(98432),o=r(84888).op,s=r(3400),l=r(9616),u=\"gl3d\",c=\"scene\";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(6636),e.layoutAttributes=r(346),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(5208),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots[u],i=0;i<n.length;i++){var s=n[i],l=o(r,u,s),c=e[s],f=c.camera,h=c._scene;h||(h=new a({id:s,graphDiv:t,container:t.querySelector(\".gl-container\"),staticPlot:t._context.staticPlot,plotGlPixelRatio:t._context.plotGlPixelRatio,camera:f},e),c._scene=h),h.viewInitial||(h.viewInitial={up:{x:f.up.x,y:f.up.y,z:f.up.z},eye:{x:f.eye.x,y:f.eye.y,z:f.eye.z},center:{x:f.center.x,y:f.center.y,z:f.center.z}}),h.plot(l,e,t.layout)}},e.clean=function(t,e,r,n){for(var i=n._subplots[u]||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots[u],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()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots[u],n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},6636:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},86140:function(t,e,r){\"use strict\";var n=r(76308),i=r(94724),a=r(92880).extendFlat,o=r(67824).overrideAll;t.exports=o({visible:i.visible,showspikes:{valType:\"boolean\",dflt:!0},spikesides:{valType:\"boolean\",dflt:!0},spikethickness:{valType:\"number\",min:0,dflt:2},spikecolor:{valType:\"color\",dflt:n.defaultLine},showbackground:{valType:\"boolean\",dflt:!1},backgroundcolor:{valType:\"color\",dflt:\"rgba(204, 204, 204, 0.5)\"},showaxeslabels:{valType:\"boolean\",dflt:!0},color:i.color,categoryorder:i.categoryorder,categoryarray:i.categoryarray,title:{text:i.title.text,font:i.title.font},type:a({},i.type,{values:[\"-\",\"linear\",\"log\",\"date\",\"category\"]}),autotypenumbers:i.autotypenumbers,autorange:i.autorange,autorangeoptions:{minallowed:i.autorangeoptions.minallowed,maxallowed:i.autorangeoptions.maxallowed,clipmin:i.autorangeoptions.clipmin,clipmax:i.autorangeoptions.clipmax,include:i.autorangeoptions.include,editType:\"plot\"},rangemode:i.rangemode,minallowed:i.minallowed,maxallowed:i.maxallowed,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.minor.tickmode,nticks:i.nticks,tick0:i.tick0,dtick:i.dtick,tickvals:i.tickvals,ticktext:i.ticktext,ticks:i.ticks,mirror:i.mirror,ticklen:i.ticklen,tickwidth:i.tickwidth,tickcolor:i.tickcolor,showticklabels:i.showticklabels,labelalias:i.labelalias,tickfont:i.tickfont,tickangle:i.tickangle,tickprefix:i.tickprefix,showtickprefix:i.showtickprefix,ticksuffix:i.ticksuffix,showticksuffix:i.showticksuffix,showexponent:i.showexponent,exponentformat:i.exponentformat,minexponent:i.minexponent,separatethousands:i.separatethousands,tickformat:i.tickformat,tickformatstops:i.tickformatstops,hoverformat:i.hoverformat,showline:i.showline,linecolor:i.linecolor,linewidth:i.linewidth,showgrid:i.showgrid,gridcolor:a({},i.gridcolor,{dflt:\"rgb(204, 204, 204)\"}),gridwidth:i.gridwidth,zeroline:i.zeroline,zerolinecolor:i.zerolinecolor,zerolinewidth:i.zerolinewidth,_deprecated:{title:i._deprecated.title,titlefont:i._deprecated.titlefont}},\"plot\",\"from-root\")},64380:function(t,e,r){\"use strict\";var n=r(49760).mix,i=r(3400),a=r(31780),o=r(86140),s=r(14944),l=r(28336),u=[\"xaxis\",\"yaxis\",\"zaxis\"];t.exports=function(t,e,r){var c,f;function h(t,e){return i.coerce(c,f,o,t,e)}for(var p=0;p<u.length;p++){var d=u[p];c=t[d]||{},(f=a.newContainer(e,d))._id=d[0]+r.scene,f._name=d,s(c,f,h,r),l(c,f,h,{font:r.font,letter:d[0],data:r.data,showGrid:!0,noAutotickangles:!0,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,noInsiderange:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,72.72727272727273).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\")}}},44728:function(t,e,r){\"use strict\";var n=r(43080),i=r(3400),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelFontWeight=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\",\"normal\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=this,o=0;o<3;++o){var s=e[a[o]];s.visible?(r.labels[o]=t._meta?i.templateString(s.title.text,t._meta):s.title.text,\"font\"in s.title&&(s.title.font.color&&(r.labelColor[o]=n(s.title.font.color)),s.title.font.family&&(r.labelFont[o]=s.title.font.family),s.title.font.size&&(r.labelSize[o]=s.title.font.size),s.title.font.weight&&(r.labelFontWeight[o]=s.title.font.weight),s.title.font.style&&(r.labelFontStyle[o]=s.title.font.style),s.title.font.variant&&(r.labelFontVariant[o]=s.title.font.variant)),\"showline\"in s&&(r.lineEnable[o]=s.showline),\"linecolor\"in s&&(r.lineColor[o]=n(s.linecolor)),\"linewidth\"in s&&(r.lineWidth[o]=s.linewidth),\"showgrid\"in s&&(r.gridEnable[o]=s.showgrid),\"gridcolor\"in s&&(r.gridColor[o]=n(s.gridcolor)),\"gridwidth\"in s&&(r.gridWidth[o]=s.gridwidth),\"log\"===s.type?r.zeroEnable[o]=!1:\"zeroline\"in s&&(r.zeroEnable[o]=s.zeroline),\"zerolinecolor\"in s&&(r.zeroLineColor[o]=n(s.zerolinecolor)),\"zerolinewidth\"in s&&(r.zeroLineWidth[o]=s.zerolinewidth),\"ticks\"in s&&s.ticks?r.lineTickEnable[o]=!0:r.lineTickEnable[o]=!1,\"ticklen\"in s&&(r.lineTickLength[o]=r._defaultLineTickLength[o]=s.ticklen),\"tickcolor\"in s&&(r.lineTickColor[o]=n(s.tickcolor)),\"tickwidth\"in s&&(r.lineTickWidth[o]=s.tickwidth),\"tickangle\"in s&&(r.tickAngle[o]=\"auto\"===s.tickangle?-3600:Math.PI*-s.tickangle/180),\"showticklabels\"in s&&(r.tickEnable[o]=s.showticklabels),\"tickfont\"in s&&(s.tickfont.color&&(r.tickColor[o]=n(s.tickfont.color)),s.tickfont.family&&(r.tickFont[o]=s.tickfont.family),s.tickfont.size&&(r.tickSize[o]=s.tickfont.size),s.tickfont.weight&&(r.tickFontWeight[o]=s.tickfont.weight),s.tickfont.style&&(r.tickFontStyle[o]=s.tickfont.style),s.tickfont.variant&&(r.tickFontVariant[o]=s.tickfont.variant)),\"mirror\"in s?-1!==[\"ticks\",\"all\",\"allticks\"].indexOf(s.mirror)?(r.lineTickMirror[o]=!0,r.lineMirror[o]=!0):!0===s.mirror?(r.lineTickMirror[o]=!1,r.lineMirror[o]=!0):(r.lineTickMirror[o]=!1,r.lineMirror[o]=!1):r.lineMirror[o]=!1,\"showbackground\"in s&&!1!==s.showbackground?(r.backgroundEnable[o]=!0,r.backgroundColor[o]=n(s.backgroundcolor)):r.backgroundEnable[o]=!1):(r.tickEnable[o]=!1,r.labelEnable[o]=!1,r.lineEnable[o]=!1,r.lineTickEnable[o]=!1,r.gridEnable[o]=!1,r.zeroEnable[o]=!1,r.backgroundEnable[o]=!1)}},t.exports=function(t,e){var r=new o;return r.merge(t,e),r}},5208:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(24040),o=r(168),s=r(64380),l=r(346),u=r(84888).op,c=\"gl3d\";function f(t,e,r,n){for(var o=r(\"bgcolor\"),l=i.combine(o,n.paper_bgcolor),f=[\"up\",\"center\",\"eye\"],h=0;h<f.length;h++)r(\"camera.\"+f[h]+\".x\"),r(\"camera.\"+f[h]+\".y\"),r(\"camera.\"+f[h]+\".z\");r(\"camera.projection.type\");var p=!!r(\"aspectratio.x\")&&!!r(\"aspectratio.y\")&&!!r(\"aspectratio.z\"),d=r(\"aspectmode\",p?\"manual\":\"auto\");p||(t.aspectratio=e.aspectratio={x:1,y:1,z:1},\"manual\"===d&&(e.aspectmode=\"auto\"),t.aspectmode=e.aspectmode);var v=u(n.fullData,c,n.id);s(t,e,{font:n.font,scene:n.id,data:v,bgColor:l,calendar:n.calendar,autotypenumbersDflt:n.autotypenumbersDflt,fullLayout:n.fullLayout}),a.getComponentMethod(\"annotations3d\",\"handleDefaults\")(t,e,n);var g=n.getDfltFromLayout(\"dragmode\");if(!1!==g&&!g)if(g=\"orbit\",t.camera&&t.camera.up){var y=t.camera.up.x,m=t.camera.up.y,x=t.camera.up.z;0!==x&&(y&&m&&x?x/Math.sqrt(y*y+m*m+x*x)>.999&&(g=\"turntable\"):g=\"turntable\")}else g=\"turntable\";r(\"dragmode\",g),r(\"hovermode\",n.getDfltFromLayout(\"hovermode\"))}t.exports=function(t,e,r){var i=e._basePlotModules.length>1;o(t,e,r,{type:c,attributes:l,handleDefaults:f,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})}},346:function(t,e,r){\"use strict\";var n=r(86140),i=r(86968).u,a=r(92880).extendFlat,o=r(3400).counterRegex;function s(t,e,r){return{x:{valType:\"number\",dflt:t,editType:\"camera\"},y:{valType:\"number\",dflt:e,editType:\"camera\"},z:{valType:\"number\",dflt:r,editType:\"camera\"},editType:\"camera\"}}t.exports={_arrayAttrRegexps:[o(\"scene\",\".annotations\",!0)],bgcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"plot\"},camera:{up:a(s(0,0,1),{}),center:a(s(0,0,0),{}),eye:a(s(1.25,1.25,1.25),{}),projection:{type:{valType:\"enumerated\",values:[\"perspective\",\"orthographic\"],dflt:\"perspective\",editType:\"calc\"},editType:\"calc\"},editType:\"camera\"},domain:i({name:\"scene\",editType:\"plot\"}),aspectmode:{valType:\"enumerated\",values:[\"auto\",\"cube\",\"data\",\"manual\"],dflt:\"auto\",editType:\"plot\",impliedEdits:{\"aspectratio.x\":void 0,\"aspectratio.y\":void 0,\"aspectratio.z\":void 0}},aspectratio:{x:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},y:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},z:{valType:\"number\",min:0,editType:\"plot\",impliedEdits:{\"^aspectmode\":\"manual\"}},editType:\"plot\",impliedEdits:{aspectmode:\"manual\"}},xaxis:n,yaxis:n,zaxis:n,dragmode:{valType:\"enumerated\",values:[\"orbit\",\"turntable\",\"zoom\",\"pan\",!1],editType:\"plot\"},hovermode:{valType:\"enumerated\",values:[\"closest\",!1],dflt:\"closest\",editType:\"modebar\"},uirevision:{valType:\"any\",editType:\"none\"},editType:\"plot\",_deprecated:{cameraposition:{valType:\"info_array\",editType:\"camera\"}}}},9020:function(t,e,r){\"use strict\";var n=r(43080),i=[\"xaxis\",\"yaxis\",\"zaxis\"];function a(){this.enabled=[!0,!0,!0],this.colors=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.drawSides=[!0,!0,!0],this.lineWidth=[1,1,1]}a.prototype.merge=function(t){for(var e=0;e<3;++e){var r=t[i[e]];r.visible?(this.enabled[e]=r.showspikes,this.colors[e]=n(r.spikecolor),this.drawSides[e]=r.spikesides,this.lineWidth[e]=r.spikethickness):(this.enabled[e]=!1,this.drawSides[e]=!1)}},t.exports=function(t){var e=new a;return e.merge(t),e}},87152:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=t.axesOptions,r=t.glplot.axesPixels,s=t.fullSceneLayout,l=[[],[],[]],u=0;u<3;++u){var c=s[a[u]];if(c._length=(r[u].hi-r[u].lo)*r[u].pixelsPerDataUnit/t.dataScale[u],Math.abs(c._length)===1/0||isNaN(c._length))l[u]=[];else{c._input_range=c.range.slice(),c.range[0]=r[u].lo/t.dataScale[u],c.range[1]=r[u].hi/t.dataScale[u],c._m=1/(t.dataScale[u]*r[u].pixelsPerDataUnit),c.range[0]===c.range[1]&&(c.range[0]-=1,c.range[1]+=1);var f=c.tickmode;if(\"auto\"===c.tickmode){c.tickmode=\"linear\";var h=c.nticks||i.constrain(c._length/40,4,9);n.autoTicks(c,Math.abs(c.range[1]-c.range[0])/h)}for(var p=n.calcTicks(c,{msUTC:!0}),d=0;d<p.length;++d)p[d].x=p[d].x*t.dataScale[u],\"date\"===c.type&&(p[d].text=p[d].text.replace(/\\<br\\>/g,\" \"));l[u]=p,c.tickmode=f}}for(e.ticks=l,u=0;u<3;++u)for(o[u]=.5*(t.glplot.bounds[0][u]+t.glplot.bounds[1][u]),d=0;d<2;++d)e.bounds[d][u]=t.glplot.bounds[d][u];t.contourLevels=function(t){for(var e=new Array(3),r=0;r<3;++r){for(var n=t[r],i=new Array(n.length),a=0;a<n.length;++a)i[a]=n[a].x;e[r]=i}return e}(l)};var n=r(54460),i=r(3400),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},94424:function(t){\"use strict\";function e(t,e){var r,n,i=[0,0,0,0];for(r=0;r<4;++r)for(n=0;n<4;++n)i[n]+=t[4*r+n]*e[r];return i}t.exports=function(t,r){return e(t.projection,e(t.view,e(t.model,[r[0],r[1],r[2],1])))}},98432:function(t,e,r){\"use strict\";var n,i,a=r(67792).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(5408),u=r(89184),c=r(24040),f=r(3400),h=f.preserveDrawingBuffer(),p=r(54460),d=r(93024),v=r(43080),g=r(16576),y=r(94424),m=r(44728),x=r(9020),b=r(87152),_=r(19280).applyAutorangeOptions,w=!1;function T(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=m(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=c.getComponentMethod(\"annotations3d\",\"convert\"),this.drawAnnotations=c.getComponentMethod(\"annotations3d\",\"draw\"),this.initializeGLPlot()}var k=T.prototype;k.prepareOptions=function(){var t=this,e={canvas:t.canvas,gl:t.gl,glOptions:{preserveDrawingBuffer:h,premultipliedAlpha:!0,antialias:!0},container:t.container,axes:t.axesOptions,spikes:t.spikeOptions,pickRadius:10,snapToData:!0,autoScale:!0,autoBounds:!1,cameraObject:t.camera,pixelRatio:t.pixelRatio};if(t.staticMode){if(!(i||(n=document.createElement(\"canvas\"),i=l({canvas:n,preserveDrawingBuffer:!0,premultipliedAlpha:!0,antialias:!0}))))throw new Error(\"error creating static canvas/context for image server\");e.gl=i,e.canvas=n}return e};var A=!0;k.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!A||h)r=!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=e.glOptions.preserveDrawingBuffer=!0,t.glplot=s(e)}catch(t){h=e.glOptions.preserveDrawingBuffer=!1,r=!1}}}return A=!1,r},k.initializeGLCamera=function(){var t=this,e=t.fullSceneLayout.camera,r=\"orthographic\"===e.projection.type;t.camera=o(t.container,{center:[e.center.x,e.center.y,e.center.z],eye:[e.eye.x,e.eye.y,e.eye.z],up:[e.up.x,e.up.y,e.up.z],_ortho:r,zoomMin:.01,zoomMax:100,mode:\"orbit\"})},k.initializeGLPlot=function(){var t=this;if(t.initializeGLCamera(),!t.tryCreatePlot())return g(t);t.traces={},t.make4thDimension();var e=t.graphDiv,r=e.layout,n=function(){var e={};return t.isCameraChanged(r)&&(e[t.id+\".camera\"]=t.getCamera()),t.isAspectChanged(r)&&(e[t.id+\".aspectratio\"]=t.glplot.getAspectratio(),\"manual\"!==r[t.id].aspectmode&&(t.fullSceneLayout.aspectmode=r[t.id].aspectmode=e[t.id+\".aspectmode\"]=\"manual\")),e},i=function(t){if(!1!==t.fullSceneLayout.dragmode){var e=n();t.saveLayout(r),t.graphDiv.emit(\"plotly_relayout\",e)}};return t.glplot.canvas&&(t.glplot.canvas.addEventListener(\"mouseup\",(function(){i(t)})),t.glplot.canvas.addEventListener(\"touchstart\",(function(){w=!0})),t.glplot.canvas.addEventListener(\"wheel\",(function(r){if(e._context._scrollZoom.gl3d){if(t.camera._ortho){var n=r.deltaX>r.deltaY?1.1:1/1.1,a=t.glplot.getAspectratio();t.glplot.setAspectratio({x:n*a.x,y:n*a.y,z:n*a.z})}i(t)}}),!!u&&{passive:!1}),t.glplot.canvas.addEventListener(\"mousemove\",(function(){if(!1!==t.fullSceneLayout.dragmode&&0!==t.camera.mouseListener.buttons){var e=n();t.graphDiv.emit(\"plotly_relayouting\",e)}})),t.staticMode||t.glplot.canvas.addEventListener(\"webglcontextlost\",(function(r){e&&e.emit&&e.emit(\"plotly_webglcontextlost\",{event:r,layer:t.id})}),!1)),t.glplot.oncontextloss=function(){t.recoverContext()},t.glplot.onrender=function(){t.render()},!0},k.render=function(){var t,e=this,r=e.graphDiv,n=e.svgContainer,i=e.container.getBoundingClientRect();r._fullLayout._calcInverseTransform(r);var a=r._fullLayout._invScaleX,o=r._fullLayout._invScaleY,s=i.width*a,l=i.height*o;n.setAttributeNS(null,\"viewBox\",\"0 0 \"+s+\" \"+l),n.setAttributeNS(null,\"width\",s),n.setAttributeNS(null,\"height\",l),b(e),e.glplot.axes.update(e.axesOptions);for(var u=Object.keys(e.traces),c=null,h=e.glplot.selection,v=0;v<u.length;++v)\"skip\"!==(t=e.traces[u[v]]).data.hoverinfo&&t.handlePick(h)&&(c=t),t.setContourLevels&&t.setContourLevels();function g(t,r,n){var i=e.fullSceneLayout[t+\"axis\"];return\"log\"!==i.type&&(r=i.d2l(r)),p.hoverLabelText(i,r,n)}if(null!==c){var m=y(e.glplot.cameraParams,h.dataCoordinate);t=c.data;var x,_=r._fullData[t.index],T=h.index,k={xLabel:g(\"x\",h.traceCoordinate[0],t.xhoverformat),yLabel:g(\"y\",h.traceCoordinate[1],t.yhoverformat),zLabel:g(\"z\",h.traceCoordinate[2],t.zhoverformat)},A=d.castHoverinfo(_,e.fullLayout,T),M=(A||\"\").split(\"+\"),S=A&&\"all\"===A;_.hovertemplate||S||(-1===M.indexOf(\"x\")&&(k.xLabel=void 0),-1===M.indexOf(\"y\")&&(k.yLabel=void 0),-1===M.indexOf(\"z\")&&(k.zLabel=void 0),-1===M.indexOf(\"text\")&&(h.textLabel=void 0),-1===M.indexOf(\"name\")&&(c.name=void 0));var E=[];\"cone\"===t.type||\"streamtube\"===t.type?(k.uLabel=g(\"x\",h.traceCoordinate[3],t.uhoverformat),(S||-1!==M.indexOf(\"u\"))&&E.push(\"u: \"+k.uLabel),k.vLabel=g(\"y\",h.traceCoordinate[4],t.vhoverformat),(S||-1!==M.indexOf(\"v\"))&&E.push(\"v: \"+k.vLabel),k.wLabel=g(\"z\",h.traceCoordinate[5],t.whoverformat),(S||-1!==M.indexOf(\"w\"))&&E.push(\"w: \"+k.wLabel),k.normLabel=h.traceCoordinate[6].toPrecision(3),(S||-1!==M.indexOf(\"norm\"))&&E.push(\"norm: \"+k.normLabel),\"streamtube\"===t.type&&(k.divergenceLabel=h.traceCoordinate[7].toPrecision(3),(S||-1!==M.indexOf(\"divergence\"))&&E.push(\"divergence: \"+k.divergenceLabel)),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):\"isosurface\"===t.type||\"volume\"===t.type?(k.valueLabel=p.hoverLabelText(e._mockAxis,e._mockAxis.d2l(h.traceCoordinate[3]),t.valuehoverformat),E.push(\"value: \"+k.valueLabel),h.textLabel&&E.push(h.textLabel),x=E.join(\"<br>\")):x=h.textLabel;var L={x:h.traceCoordinate[0],y:h.traceCoordinate[1],z:h.traceCoordinate[2],data:_._input,fullData:_,curveNumber:_.index,pointNumber:T};d.appendArrayPointValue(L,_,T),t._module.eventData&&(L=_._module.eventData(L,h,_,{},T));var C={points:[L]};if(e.fullSceneLayout.hovermode){var P=[];d.loneHover({trace:_,x:(.5+.5*m[0]/m[3])*s,y:(.5-.5*m[1]/m[3])*l,xLabel:k.xLabel,yLabel:k.yLabel,zLabel:k.zLabel,text:x,name:c.name,color:d.castHoverOption(_,T,\"bgcolor\")||c.color,borderColor:d.castHoverOption(_,T,\"bordercolor\"),fontFamily:d.castHoverOption(_,T,\"font.family\"),fontSize:d.castHoverOption(_,T,\"font.size\"),fontColor:d.castHoverOption(_,T,\"font.color\"),nameLength:d.castHoverOption(_,T,\"namelength\"),textAlign:d.castHoverOption(_,T,\"align\"),hovertemplate:f.castOption(_,T,\"hovertemplate\"),hovertemplateLabels:f.extendFlat({},L,k),eventData:[L]},{container:n,gd:r,inOut_bbox:P}),L.bbox=P[0]}h.distance<5&&(h.buttons||w)?r.emit(\"plotly_click\",C):r.emit(\"plotly_hover\",C),this.oldEventData=C}else d.loneUnhover(n),this.oldEventData&&r.emit(\"plotly_unhover\",this.oldEventData),this.oldEventData=void 0;e.drawAnnotations(e)},k.recoverContext=function(){var t=this;t.glplot.dispose();var e=function(){t.glplot.gl.isContextLost()?requestAnimationFrame(e):t.initializeGLPlot()?t.plot.apply(t,t.plotArgs):f.error(\"Catastrophic and unrecoverable WebGL error. Context lost.\")};requestAnimationFrame(e)};var M=[\"xaxis\",\"yaxis\",\"zaxis\"];function S(t,e,r){for(var n=t.fullSceneLayout,i=0;i<3;i++){var a=M[i],o=a.charAt(0),s=n[a],l=e[o],u=e[o+\"calendar\"],c=e[\"_\"+o+\"length\"];if(f.isArrayOrTypedArray(l))for(var h,p=0;p<(c||l.length);p++)if(f.isArrayOrTypedArray(l[p]))for(var d=0;d<l[p].length;++d)h=s.d2l(l[p][d],0,u),!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,u),!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],c-1)}}k.plot=function(t,e,r){var n=this;if(n.plotArgs=[t,e,r],!n.glplot.contextLost){var i,a,o,s,l,u,c=e[n.id],f=r[n.id];n.fullLayout=e,n.fullSceneLayout=c,n.axesOptions.merge(e,c),n.spikeOptions.merge(c),n.setViewport(c),n.updateFx(c.dragmode,c.hovermode),n.camera.enableWheel=n.graphDiv._context._scrollZoom.gl3d,n.glplot.setClearColor(v(c.bgcolor)),n.setConvert(l),t?Array.isArray(t)||(t=[t]):t=[];var h=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]];for(o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&S(this,i,h);!function(t,e){for(var r=t.fullSceneLayout,n=r.annotations||[],i=0;i<3;i++)for(var a=M[i],o=a.charAt(0),s=r[a],l=0;l<n.length;l++){var u=n[l];if(u.visible){var c=s.r2l(u[o]);!isNaN(c)&&isFinite(c)&&(e[0][i]=Math.min(e[0][i],c),e[1][i]=Math.max(e[1][i],c))}}}(this,h);var p=[1,1,1];for(s=0;s<3;++s)h[1][s]===h[0][s]?p[s]=1:p[s]=1/(h[1][s]-h[0][s]);for(n.dataScale=p,n.convertAnnotations(this),o=0;o<t.length;++o)!0===(i=t[o]).visible&&0!==i._length&&((a=n.traces[i.uid])?a.data.type===i.type?a.update(i):(a.dispose(),a=i._module.plot(this,i),n.traces[i.uid]=a):(a=i._module.plot(this,i),n.traces[i.uid]=a),a.name=i.name);var d=Object.keys(n.traces);t:for(o=0;o<d.length;++o){for(s=0;s<t.length;++s)if(t[s].uid===d[o]&&!0===t[s].visible&&0!==t[s]._length)continue t;(a=n.traces[d[o]]).dispose(),delete n.traces[d[o]]}n.glplot.objects.sort((function(t,e){return t._trace.data.index-e._trace.data.index}));var g,y=[[0,0,0],[0,0,0]],m=[],x={};for(o=0;o<3;++o){var b;if((u=(l=c[M[o]]).type)in x?(x[u].acc*=p[o],x[u].count+=1):x[u]={acc:p[o],count:1},l.autorange){y[0][o]=1/0,y[1][o]=-1/0;var w=n.glplot.objects,T=n.fullSceneLayout.annotations||[],k=l._name.charAt(0);for(s=0;s<w.length;s++){var 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t=this;t.glplot&&(t.camera.mouseListener.enabled=!1,t.container.removeEventListener(\"wheel\",t.camera.wheelListener),t.camera=null,t.glplot.dispose(),t.container.parentNode.removeChild(t.container),t.glplot=null)},k.getCamera=function(){var t,e=this;return e.camera.view.recalcMatrix(e.camera.view.lastT()),{up:{x:(t=e.camera).up[0],y:t.up[1],z:t.up[2]},center:{x:t.center[0],y:t.center[1],z:t.center[2]},eye:{x:t.eye[0],y:t.eye[1],z:t.eye[2]},projection:{type:!0===t._ortho?\"orthographic\":\"perspective\"}}},k.setViewport=function(t){var e,r=this,n=t.camera;r.camera.lookAt.apply(this,[[(e=n).eye.x,e.eye.y,e.eye.z],[e.center.x,e.center.y,e.center.z],[e.up.x,e.up.y,e.up.z]]),r.glplot.setAspectratio(t.aspectratio),\"orthographic\"===n.projection.type!==r.camera._ortho&&(r.glplot.redraw(),r.glplot.clearRGBA(),r.glplot.dispose(),r.initializeGLPlot())},k.isCameraChanged=function(t){var e=this.getCamera(),r=f.nestedProperty(t,this.id+\".camera\").get();function n(t,e,r,n){var 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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)}}(o,i,a);var s=document.createElement(\"canvas\");s.width=i,s.height=a;var l,u=s.getContext(\"2d\",{willReadFrequently:!0}),c=u.createImageData(i,a);switch(c.data.set(o),u.putImageData(c,0,0),t){case\"jpeg\":l=s.toDataURL(\"image/jpeg\");break;case\"webp\":l=s.toDataURL(\"image/webp\");break;default:l=s.toDataURL(\"image/png\")}return e.staticMode&&e.container.removeChild(n),l},k.setConvert=function(){for(var t=0;t<3;t++){var e=this.fullSceneLayout[M[t]];p.setConvert(e,this.fullLayout),e.setScale=f.noop}},k.make4thDimension=function(){var t=this,e=t.graphDiv._fullLayout;t._mockAxis={type:\"linear\",showexponent:\"all\",exponentformat:\"B\"},p.setConvert(t._mockAxis,e)},t.exports=T},52094:function(t){\"use strict\";t.exports=function(t,e,r,n){n=n||t.length;for(var i=new Array(n),a=0;a<n;a++)i[a]=[t[a],e[a],r[a]];return i}},64859:function(t,e,r){\"use strict\";var 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e,r,s=this,u=s.isSmith,c=s.gd,f=s.layers,h=t._zoomlayer,p=S.MINZOOM,d=S.OFFEDGE,v=s.radius,x=s.innerRadius,T=s.cx,k=s.cy,A=s.cxx,M=s.cyy,L=s.sectorInRad,C=s.vangles,P=s.radialAxis,O=E.clampTiny,I=E.findXYatLength,z=E.findEnclosingVertexAngles,D=S.cornerHalfWidth,R=S.cornerLen/2,F=g.makeDragger(f,\"path\",\"maindrag\",!1===t.dragmode?\"none\":\"crosshair\");n.select(F).attr(\"d\",s.pathSubplot()).attr(\"transform\",l(T,k)),F.onmousemove=function(t){m.hover(c,t,s.id),c._fullLayout._lasthover=F,c._fullLayout._hoversubplot=s.id},F.onmouseout=function(t){c._dragging||y.unhover(c,t)};var B,N,j,U,V,q,H,G,W,Y={element:F,gd:c,subplot:s.id,plotinfo:{id:s.id,xaxis:s.xaxis,yaxis:s.yaxis},xaxes:[s.xaxis],yaxes:[s.yaxis]};function X(t,e){return Math.sqrt(t*t+e*e)}function Z(t,e){return X(t-A,e-M)}function K(t,e){return Math.atan2(M-e,t-A)}function J(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function $(t,e){if(0===t)return s.pathSector(2*D);var 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p=c._fullLayout._invTransform;e=c._fullLayout._invScaleX,r=c._fullLayout._invScaleY;var d=o.apply3DTransform(p)(n-f.left,a-f.top);if(B=d[0],N=d[1],C){var y=E.findPolygonOffset(v,L[0],L[1],C);B+=A+y[0],N+=M+y[1]}switch(l){case\"zoom\":Y.clickFn=st,u||(Y.moveFn=C?it:rt,Y.doneFn=at,function(){j=null,U=null,V=s.pathSubplot(),q=!1;var t=c._fullLayout[s.id];H=i(t.bgcolor).getLuminance(),(G=g.makeZoombox(h,H,T,k,V)).attr(\"fill-rule\",\"evenodd\"),W=g.makeCorners(h,T,k),w(c)}());break;case\"select\":case\"lasso\":b(t,n,a,Y,l)}},y.init(Y)},N.updateRadialDrag=function(t,e,r){var i=this,u=i.gd,c=i.layers,f=i.radius,h=i.innerRadius,p=i.cx,d=i.cy,v=i.radialAxis,m=S.radialDragBoxSize,x=m/2;if(v.visible){var b,_,T,M=R(i.radialAxisAngle),E=v._rl,L=E[0],C=E[1],P=E[r],O=.75*(E[1]-E[0])/(1-i.getHole(e))/f;r?(b=p+(f+x)*Math.cos(M),_=d-(f+x)*Math.sin(M),T=\"radialdrag\"):(b=p+(h-x)*Math.cos(M),_=d-(h-x)*Math.sin(M),T=\"radialdrag-inner\");var I,z,D,B=g.makeRectDragger(c,T,\"crosshair\",-x,-x,m,m),N={element:B,gd:u};!1===t.dragmode&&(N.dragmode=!1),V(n.select(B),v.visible&&h<f,{transform:l(b,_)}),N.prepFn=function(){I=null,z=null,D=null,N.moveFn=j,N.doneFn=q,w(u)},N.clampFn=function(t,e){return Math.sqrt(t*t+e*e)<S.MINDRAG&&(t=0,e=0),[t,e]},y.init(N)}function j(t,e){if(I)I(t,e);else{var n=[t,-e],a=[Math.cos(M),Math.sin(M)],s=Math.abs(o.dot(n,a)/Math.sqrt(o.dot(n,n)));isNaN(s)||(I=s<.5?H:G)}var l={};!function(t){null!==z?t[i.id+\".radialaxis.angle\"]=z:null!==D&&(t[i.id+\".radialaxis.range[\"+r+\"]\"]=D)}(l),u.emit(\"plotly_relayouting\",l)}function q(){null!==z?a.call(\"_guiRelayout\",u,i.id+\".radialaxis.angle\",z):null!==D&&a.call(\"_guiRelayout\",u,i.id+\".radialaxis.range[\"+r+\"]\",D)}function H(t,e){if(0!==r){var n=b+t,a=_+e;z=Math.atan2(d-a,n-p),i.vangles&&(z=U(z,i.vangles)),z=F(z);var o=l(p,d)+s(-z);c[\"radial-axis\"].attr(\"transform\",o),c[\"radial-line\"].select(\"line\").attr(\"transform\",o);var 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i=t[0].trace,o=\"h\"===i.orientation,s=\"waterfall\"===i.type,l=\"funnel\"===i.type;function u(t){return c(o?r:n,+t,!0).text}var f,h,p=i.textinfo,d=t[e],v=p.split(\"+\"),g=[],y=function(t){return-1!==v.indexOf(t)};if(y(\"label\")&&g.push((h=t[e].p,c(o?n:r,h,!0).text)),y(\"text\")&&(0===(f=a.castOption(i,d.i,\"text\"))||f)&&g.push(f),s){var m=+d.rawS||d.s,x=d.v,b=x-m;y(\"initial\")&&g.push(u(b)),y(\"delta\")&&g.push(u(m)),y(\"final\")&&g.push(u(x))}if(l){y(\"value\")&&g.push(u(d.s));var _=0;y(\"percent initial\")&&_++,y(\"percent previous\")&&_++,y(\"percent total\")&&_++;var w=_>1;y(\"percent initial\")&&(f=a.formatPercent(d.begR),w&&(f+=\" of initial\"),g.push(f)),y(\"percent previous\")&&(f=a.formatPercent(d.difR),w&&(f+=\" of previous\"),g.push(f)),y(\"percent total\")&&(f=a.formatPercent(d.sumR),w&&(f+=\" of total\"),g.push(f))}return g.join(\"<br>\")}(e,r,n,i):v.getValue(s.text,r),v.coerceString(m,o)}(I,n,i,S,O);k=function(t,e){var r=v.getValue(t.textposition,e);return v.coerceEnumerated(x,r)}(D,i);var B=\"stack\"===w.mode||\"relative\"===w.mode,N=n[i],j=!B||N._outmost,U=N.hasB,V=g&&g-y>_;if(F&&\"none\"!==k&&(!N.isBlank&&s!==u&&f!==p||\"auto\"!==k&&\"inside\"!==k)){var q=I.font,H=d.getBarColor(n[i],D),G=d.getInsideTextFont(D,i,q,H),W=d.getOutsideTextFont(D,i,q),Y=D.insidetextanchor||\"end\",X=r.datum();R?\"log\"===S.type&&X.s0<=0&&(s=S.range[0]<S.range[1]?0:S._length):\"log\"===O.type&&X.s0<=0&&(f=O.range[0]<O.range[1]?O._length:0);var Z,K,J,$,Q,tt=Math.abs(u-s),et=Math.abs(p-f),rt=tt-2*_,nt=et-2*_;if(\"outside\"===k&&(j||N.hasB||(k=\"inside\")),\"auto\"===k)if(j){k=\"inside\",Z=z(r,F,Q=a.ensureUniformFontSize(t,G)),J=(K=l.bBox(Z.node())).width,$=K.height;var it,at=J>0&&$>0;it=V?U?E(rt-2*g,nt,J,$,R)||E(rt,nt-2*g,J,$,R):R?E(rt-(g-y),nt,J,$,R)||E(rt,nt-2*(g-y),J,$,R):E(rt,nt-(g-y),J,$,R)||E(rt-2*(g-y),nt,J,$,R):E(rt,nt,J,$,R),at&&it?k=\"inside\":(k=\"outside\",Z.remove(),Z=null)}else k=\"inside\";if(!Z){var ot=(Z=z(r,F,Q=a.ensureUniformFontSize(t,\"outside\"===k?W:G))).attr(\"transform\");if(Z.attr(\"transform\",\"\"),J=(K=l.bBox(Z.node())).width,$=K.height,Z.attr(\"transform\",ot),J<=0||$<=0)return void Z.remove()}var st,lt=D.textangle;st=\"outside\"===k?function(t,e,r,n,i,a){var o,s=!!a.isHorizontal,l=!!a.constrained,u=a.angle||0,c=i.width,f=i.height,h=Math.abs(e-t),p=Math.abs(n-r);o=s?p>2*_?_:0:h>2*_?_:0;var d=1;l&&(d=s?Math.min(1,p/f):Math.min(1,h/c));var v=L(u),g=C(i,v),y=(s?g.x:g.y)/2,m=(i.left+i.right)/2,x=(i.top+i.bottom)/2,b=(t+e)/2,w=(r+n)/2,T=0,k=0,M=s?A(e,t):A(r,n);return s?(b=e-M*o,T=M*y):(w=n+M*o,k=-M*y),{textX:m,textY:x,targetX:b,targetY:w,anchorX:T,anchorY:k,scale:d,rotate:v}}(s,u,f,p,K,{isHorizontal:R,constrained:\"both\"===D.constraintext||\"outside\"===D.constraintext,angle:lt}):P(s,u,f,p,K,{isHorizontal:R,constrained:\"both\"===D.constraintext||\"inside\"===D.constraintext,angle:lt,anchor:Y,hasB:U,r:g,overhead:y}),st.fontSize=Q.size,h(\"histogram\"===D.type?\"bar\":D.type,st,I),N.transform=st;var ut=M(Z,I,w,T);a.setTransormAndDisplay(ut,st)}else r.select(\"text\").remove()}(t,e,R,r,T,H,G,W,Y,rt,it,g,y),e.layerClipId&&l.hideOutsideRangePoint(u,R.select(\"text\"),w,O,f.xcalendar,f.ycalendar)}));var W=!1===f.cliponaxis;l.setClipUrl(u,W?null:e.layerClipId,t)}));u.getComponentMethod(\"errorbars\",\"plot\")(t,D,e,g)},toMoveInsideBar:P}},45784:function(t){\"use strict\";function e(t,e,r,n,i){var a=e.c2p(n?t.s0:t.p0,!0),o=e.c2p(n?t.s1:t.p1,!0),s=r.c2p(n?t.p0:t.s0,!0),l=r.c2p(n?t.p1:t.s1,!0);return i?[(a+o)/2,(s+l)/2]:n?[o,(s+l)/2]:[(a+o)/2,l]}t.exports=function(t,r){var n,i=t.cd,a=t.xaxis,o=t.yaxis,s=i[0].trace,l=\"funnel\"===s.type,u=\"h\"===s.orientation,c=[];if(!1===r)for(n=0;n<i.length;n++)i[n].selected=0;else for(n=0;n<i.length;n++){var f=i[n],h=\"ct\"in f?f.ct:e(f,a,o,u,l);r.contains(h,!1,n,t)?(c.push({pointNumber:n,x:a.c2d(f.x),y:o.c2d(f.y)}),f.selected=1):f.selected=0}return c}},72592:function(t,e,r){\"use strict\";t.exports=i;var n=r(3400).distinctVals;function i(t,e){this.traces=t,this.sepNegVal=e.sepNegVal,this.overlapNoMerge=e.overlapNoMerge;for(var r=1/0,i=e.posAxis._id.charAt(0),a=[],o=0;o<t.length;o++){for(var s=t[o],l=0;l<s.length;l++){var u=s[l],c=u.p;void 0===c&&(c=u[i]),void 0!==c&&a.push(c)}s[0]&&s[0].width1&&(r=Math.min(s[0].width1,r))}this.positions=a;var f=n(a);this.distinctPositions=f.vals,1===f.vals.length&&r!==1/0?this.minDiff=r:this.minDiff=Math.min(f.minDiff,r);var 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i,a=t.cd[0].trace.hoveron,o=[];return-1!==a.indexOf(\"boxes\")&&(o=o.concat(l(t,e,r,n))),-1!==a.indexOf(\"points\")&&(i=u(t,e,r)),\"closest\"===n?i?[i]:o:i?(o.push(i),o):o},hoverOnBoxes:l,hoverOnPoints:u}},67244:function(t,e,r){\"use strict\";t.exports={attributes:r(63188),layoutAttributes:r(16560),supplyDefaults:r(90624).supplyDefaults,crossTraceDefaults:r(90624).crossTraceDefaults,supplyLayoutDefaults:r(68832).supplyLayoutDefaults,calc:r(62555),crossTraceCalc:r(96404).crossTraceCalc,plot:r(18728).plot,style:r(25776).style,styleOnSelect:r(25776).styleOnSelect,hoverPoints:r(27576).hoverPoints,eventData:r(10392),selectPoints:r(8264),moduleType:\"trace\",name:\"box\",basePlotModule:r(57952),categories:[\"cartesian\",\"svg\",\"symbols\",\"oriented\",\"box-violin\",\"showLegend\",\"boxLayout\",\"zoomScale\"],meta:{}}},16560:function(t){\"use 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b=t.selectAll(\"path.box\").data(\"violin\"!==r.type||r.box.visible?i.identity:[]);b.enter().append(\"path\").style(\"vector-effect\",o?\"none\":\"non-scaling-stroke\").attr(\"class\",\"box\"),b.exit().remove(),b.each((function(t){if(t.empty)return n.select(this).attr(\"d\",\"M0,0Z\");var e=f.c2l(t.pos+p,!0),a=f.l2p(e-s)+v,o=f.l2p(e+l)+v,b=h?(a+o)/2:f.l2p(e)+v,_=r.whiskerwidth,w=h?a*_+(1-_)*b:f.l2p(e-d)+v,T=h?o*_+(1-_)*b:f.l2p(e+d)+v,k=f.l2p(e-s*x)+v,A=f.l2p(e+l*x)+v,M=\"sd\"===r.sizemode,S=c.c2p(M?t.mean-t.sd:t.q1,!0),E=M?c.c2p(t.mean+t.sd,!0):c.c2p(t.q3,!0),L=i.constrain(M?c.c2p(t.mean,!0):c.c2p(t.med,!0),Math.min(S,E)+1,Math.max(S,E)-1),C=void 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(52948),s=r(45464),l=r(92880).extendFlat,u={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},sizemode:{valType:\"enumerated\",values:[\"scaled\",\"absolute\",\"raw\"],editType:\"calc\",dflt:\"scaled\"},sizeref:{valType:\"number\",editType:\"calc\",min:0},anchor:{valType:\"enumerated\",editType:\"calc\",values:[\"tip\",\"tail\",\"cm\",\"center\"],dflt:\"cm\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"norm\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n(\"\",{colorAttr:\"u/v/w 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O=C.selectAll(\"text\").data(P);function I(e,r,n,i){if(!e.match(\"s\")||n>=0==i>=0||r(n).slice(-1).match(_)||r(i).slice(-1).match(_))return r;var a=e.slice().replace(\"s\",\"f\").replace(/\\d+/,(function(t){return parseInt(t)-1})),o=k(t,{tickformat:a});return function(t){return Math.abs(t)<1?d.tickText(o,t).text:r(t)}}O.enter().append(\"text\"),O.attr(\"text-anchor\",(function(){return A})).attr(\"class\",(function(t){return t})).attr(\"x\",null).attr(\"y\",null).attr(\"dx\",null).attr(\"dy\",null),O.exit().remove();var z,D=v.mode+v.align;if(v._hasDelta&&(z=function(){var e=k(t,{tickformat:v.delta.valueformat},v._range);e.setScale(),d.prepTicks(e);var i=function(t){return d.tickText(e,t).text},o=v.delta.suffix,s=v.delta.prefix,l=function(t){return v.delta.relative?t.relativeDelta:t.delta},u=function(t,e){return 0===t||\"number\"!=typeof t||isNaN(t)?\"-\":(t>0?v.delta.increasing.symbol:v.delta.decreasing.symbol)+s+e(t)+o},h=function(t){return 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U,V,q,H=j.select(\"path\");w(M)?(H.transition().duration(M.duration).ease(M.easing).each(\"end\",(function(){S&&S()})).each(\"interrupt\",(function(){S&&S()})).attrTween(\"d\",(U=N,V=L(r[0].lastY),q=L(r[0].y),function(){var t=i(V,q);return function(e){return U.endAngle(t(e))()}})),p._lastValue=r[0].y):H.attr(\"d\",\"number\"==typeof r[0].y?N.endAngle(L(r[0].y)):\"M0,0Z\"),H.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 W=_.selectAll(\"g.threshold-arc\").data(F);W.enter().append(\"g\").classed(\"threshold-arc\",!0).append(\"path\"),W.select(\"path\").call(P).call(T),W.exit().remove();var Y=_.selectAll(\"g.gauge-outline\").data([x]);Y.enter().append(\"g\").classed(\"gauge-outline\",!0).append(\"path\"),Y.select(\"path\").call(P).call(T),Y.exit().remove()}(t,0,e,{radius:U,innerRadius:V,gauge:W,layer:Y,size:B,gaugeBg:C,gaugeOutline:P,transitionOpts:r,onComplete:g});var X=I.selectAll(\"g.bullet\").data(R?e:[]);X.exit().remove();var Z=I.selectAll(\"g.bulletaxis\").data(R?e:[]);Z.exit().remove(),R&&function(t,e,r,n){var i,a,o,s,u,c=r[0].trace,f=n.gauge,p=n.layer,v=n.gaugeBg,g=n.gaugeOutline,y=n.size,x=c.domain,b=n.transitionOpts,_=n.onComplete;f.enter().append(\"g\").classed(\"bullet\",!0),f.attr(\"transform\",l(y.l,y.t)),p.enter().append(\"g\").classed(\"bulletaxis\",!0).classed(\"crisp\",!0),p.selectAll(\"g.xbulletaxistick,path,text\").remove();var A=y.h,M=c.gauge.bar.thickness*A,S=x.x[0],E=x.x[0]+(x.x[1]-x.x[0])*(c._hasNumber||c._hasDelta?1-h.bulletNumberDomainSize:1);function L(t){t.attr(\"width\",(function(t){return 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O=f.selectAll(\"g.value-bullet\").data([c.gauge.bar]);O.enter().append(\"g\").classed(\"value-bullet\",!0).append(\"rect\"),O.select(\"rect\").attr(\"height\",M).attr(\"y\",(A-M)/2).call(T),w(b)?O.select(\"rect\").transition().duration(b.duration).ease(b.easing).each(\"end\",(function(){_&&_()})).each(\"interrupt\",(function(){_&&_()})).attr(\"width\",Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y)))):O.select(\"rect\").attr(\"width\",\"number\"==typeof r[0].y?Math.max(0,i.c2p(Math.min(c.gauge.axis.range[1],r[0].y))):0),O.exit().remove();var I=r.filter((function(){return 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r=\"slices.\"+t;a(r+\".show\")&&(a(r+\".fill\"),a(r+\".locations\"))})),a(\"spaceframe.show\")&&a(\"spaceframe.fill\"),a(\"surface.show\")&&(a(\"surface.count\"),a(\"surface.fill\"),a(\"surface.pattern\")),a(\"contour.show\")&&(a(\"contour.color\"),a(\"contour.width\")),[\"text\",\"hovertext\",\"hovertemplate\",\"lighting.ambient\",\"lighting.diffuse\",\"lighting.specular\",\"lighting.roughness\",\"lighting.fresnel\",\"lighting.vertexnormalsepsilon\",\"lighting.facenormalsepsilon\",\"lightposition.x\",\"lightposition.y\",\"lightposition.z\",\"flatshading\",\"opacity\"].forEach((function(t){a(t)})),o(t,e,n,a,{prefix:\"\",cLetter:\"c\"}),e._length=null):e.visible=!1}t.exports={supplyDefaults:function(t,e,r,i){s(t,e,0,i,(function(r,i){return n.coerce(t,e,a,r,i)}))},supplyIsoDefaults:s}},6296:function(t,e,r){\"use 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(16716),s=r(45464),l=r(92880).extendFlat;t.exports=l({x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},i:{valType:\"data_array\",editType:\"calc\"},j:{valType:\"data_array\",editType:\"calc\"},k:{valType:\"data_array\",editType:\"calc\"},text:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",arrayOk:!0,editType:\"calc\"},hovertemplate:a({editType:\"calc\"}),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),delaunayaxis:{valType:\"enumerated\",values:[\"x\",\"y\",\"z\"],dflt:\"z\",editType:\"calc\"},alphahull:{valType:\"number\",dflt:-1,editType:\"calc\"},intensity:{valType:\"data_array\",editType:\"calc\"},intensitymode:{valType:\"enumerated\",values:[\"vertex\",\"cell\"],dflt:\"vertex\",editType:\"calc\"},color:{valType:\"color\",editType:\"calc\"},vertexcolor:{valType:\"data_array\",editType:\"calc\"},facecolor:{valType:\"data_array\",editType:\"calc\"},transforms:void 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n=r(67792).gl_mesh3d,i=r(67792).delaunay_triangulate,a=r(67792).alpha_shape,o=r(67792).convex_hull,s=r(33040).parseColorScale,l=r(3400).isArrayOrTypedArray,u=r(43080),c=r(8932).extractOpts,f=r(52094);function h(t,e,r){this.scene=t,this.uid=r,this.mesh=e,this.name=\"\",this.color=\"#fff\",this.data=null,this.showContour=!1}var p=h.prototype;function d(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=u(t[n]);return e}function v(t,e,r,n){for(var i=[],a=e.length,o=0;o<a;o++)i[o]=t.d2l(e[o],0,n)*r;return i}function g(t){for(var e=[],r=t.length,n=0;n<r;n++)e[n]=Math.round(t[n]);return e}function y(t,e){for(var r=t.length,n=0;n<r;n++)if(t[n]<=-.5||t[n]>=e-.5)return!1;return!0}p.handlePick=function(t){if(t.object===this.mesh){var e=t.index=t.data.index;t.data._cellCenter?t.traceCoordinate=t.data.dataCoordinate:t.traceCoordinate=[this.data.x[e],this.data.y[e],this.data.z[e]];var r=this.data.hovertext||this.data.text;return l(r)&&void 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p={positions:h,cells:n,lightPosition:[t.lightposition.x,t.lightposition.y,t.lightposition.z],ambient:t.lighting.ambient,diffuse:t.lighting.diffuse,specular:t.lighting.specular,roughness:t.lighting.roughness,fresnel:t.lighting.fresnel,vertexNormalsEpsilon:t.lighting.vertexnormalsepsilon,faceNormalsEpsilon:t.lighting.facenormalsepsilon,opacity:t.opacity,contourEnable:t.contour.show,contourColor:u(t.contour.color).slice(0,3),contourWidth:t.contour.width,useFacetNormals:t.flatshading};if(t.intensity){var m=c(t);this.color=\"#fff\";var x=t.intensitymode;p[x+\"Intensity\"]=t.intensity,p[x+\"IntensityBounds\"]=[m.min,m.max],p.colormap=s(t)}else t.vertexcolor?(this.color=t.vertexcolor[0],p.vertexColors=d(t.vertexcolor)):t.facecolor?(this.color=t.facecolor[0],p.cellColors=d(t.facecolor)):(this.color=t.color,p.meshColor=u(t.color));this.mesh.update(p)},p.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},t.exports=function(t,e){var r=t.glplot.gl,i=n({gl:r}),a=new 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a,s=t._fullData,l=[];for(i=1/0,a=0;a<s.length;a++){var u=s[a];if(\"ohlc\"===u.type&&!0===u.visible&&u.xaxis===e._id){l.push(u);var c=e.makeCalcdata(u,\"x\");u._origX=c;var f=o(r,e,\"x\",c).vals;u._xcalc=f;var h=n.distinctVals(f).minDiff;h&&isFinite(h)&&(i=Math.min(i,h))}}for(i===1/0&&(i=1),a=0;a<l.length;a++)l[a]._minDiff=i}return i*r.tickwidth}(t,r,e),c=e._minDiff;e._minDiff=null;var f=e._origX;e._origX=null;var h=e._xcalc;e._xcalc=null;var p=u(t,e,f,h,i,l);return e._extremes[r._id]=a.findExtremes(r,h,{vpad:c/2}),p.length?(n.extendFlat(p[0].t,{wHover:c/2,tickLen:s}),p):[{t:{empty:!0}}]},calcCommon:u}},23860:function(t,e,r){\"use strict\";var n=r(3400),i=r(52744),a=r(31147),o=r(20279);function s(t,e,r,n){r(n+\".line.color\"),r(n+\".line.width\",e.line.width),r(n+\".line.dash\",e.line.dash)}t.exports=function(t,e,r,l){function u(r,i){return 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T=a.getDistanceFunction(n,b,_,w);if(a.getClosest(l,T,t),!1===t.index)return null;var k=l[t.index];if(k.empty)return null;var A=c[k.dir],M=A.line.color;return o.opacity(M)&&A.line.width?t.color=M:t.color=A.fillcolor,t.x0=u.c2p(k.pos+v-y,!0),t.x1=u.c2p(k.pos+v+y,!0),t.xLabelVal=void 0!==k.orig_p?k.orig_p:k.pos,t.spikeDistance=w(k)*s/i,t.xSpike=u.c2p(k.pos,!0),t}function f(t,e,r,a){var o=t.cd,s=t.ya,l=o[0].trace,u=o[0].t,f=[],h=c(t,e,r,a);if(!h)return[];var p=o[h.index].hi||l.hoverinfo,d=p.split(\"+\");if(\"all\"!==p&&-1===d.indexOf(\"y\"))return[];for(var v=[\"high\",\"open\",\"close\",\"low\"],g={},y=0;y<v.length;y++){var m,x=v[y],b=l[x][h.index],_=s.c2p(b,!0);b in g?(m=g[b]).yLabel+=\"<br>\"+u.labels[x]+n.hoverLabelText(s,b,l.yhoverformat):((m=i.extendFlat({},h)).y0=m.y1=_,m.yLabelVal=b,m.yLabel=u.labels[x]+n.hoverLabelText(s,b,l.yhoverformat),m.name=\"\",f.push(m),g[b]=m)}return f}function h(t,e,r,i){var a=t.cd,o=t.ya,l=a[0].trace,f=a[0].t,h=c(t,e,r,i);if(!h)return[];var 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n=r(71688).wrap,i=r(94288).hasColorscale,a=r(47128),o=r(68944),s=r(43616),l=r(3400),u=r(38248);function c(t,e,r){t.valueInds.push(e),t.count+=r}function f(t,e,r){return{categoryInds:t,color:e,rawColor:r,valueInds:[],count:0}}function h(t,e,r){t.valueInds.push(e),t.count+=r}t.exports=function(t,e){var r=l.filterVisible(e.dimensions);if(0===r.length)return[];var p,d,v,g=r.map((function(t){var e;if(\"trace\"===t.categoryorder)e=null;else if(\"array\"===t.categoryorder)e=t.categoryarray;else{e=o(t.values);for(var r=!0,n=0;n<e.length;n++)if(!u(e[n])){r=!1;break}e.sort(r?l.sorterAsc:void 0),\"category descending\"===t.categoryorder&&(e=e.reverse())}return function(t,e){e=null==e?[]:e.map((function(t){return t}));var r={},n={},i=[];e.forEach((function(t,e){r[t]=0,n[t]=e}));for(var a=0;a<t.length;a++){var o,s=t[a];void 0===r[s]?(r[s]=1,o=e.push(s)-1,n[s]=o):(r[s]++,o=n[s]),i.push(o)}var l=e.map((function(t){return 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n=r(33428),i=r(67756).Gz,a=r(36424),o=r(93024),s=r(3400),l=s.strTranslate,u=r(43616),c=r(49760),f=r(72736);function h(t,e,r,i){var a=e._context.staticPlot,o=t.map(F.bind(0,e,r)),c=i.selectAll(\"g.parcatslayer\").data([null]);c.enter().append(\"g\").attr(\"class\",\"parcatslayer\").style(\"pointer-events\",a?\"none\":\"all\");var h=c.selectAll(\"g.trace.parcats\").data(o,p),m=h.enter().append(\"g\").attr(\"class\",\"trace parcats\");h.attr(\"transform\",(function(t){return l(t.x,t.y)})),m.append(\"g\").attr(\"class\",\"paths\");var x=h.select(\"g.paths\").selectAll(\"path.path\").data((function(t){return t.paths}),p);x.attr(\"fill\",(function(t){return t.model.color}));var w=x.enter().append(\"path\").attr(\"class\",\"path\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.model.color})).attr(\"fill-opacity\",0);_(w),x.attr(\"d\",(function(t){return 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z=E.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);E.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})).attr(\"cursor\",(function(t){return\"fixed\"===t.parcatsViewModel.arrangement?\"default\":\"perpendicular\"===t.parcatsViewModel.arrangement?\"ns-resize\":\"move\"})),k(z),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var D=e._fullLayout.paper_bgcolor;M.select(\"text.catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"alignment-baseline\",\"middle\").style(\"text-shadow\",f.makeTextShadow(D)).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){u.font(n.select(this),t.parcatsViewModel.categorylabelfont),f.convertToTspans(n.select(this),e)})),S.append(\"text\").attr(\"class\",\"dimlabel\"),M.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){u.font(n.select(this),t.parcatsViewModel.labelfont)})),M.selectAll(\"rect.bandrect\").on(\"mouseover\",L).on(\"mouseout\",C),M.exit().remove(),A.call(n.behavior.drag().origin((function(t){return{x:t.x,y:0}})).on(\"dragstart\",P).on(\"drag\",O).on(\"dragend\",I)),h.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\")})),h.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 v(t,e){return t.model.rawColor>e.model.rawColor?1:t.model.rawColor<e.model.rawColor?-1:0}function 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y(t){if(!t.parcatsViewModel.dragDimension&&(_(n.select(this)),o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()),t.parcatsViewModel.pathSelection.sort(v),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\"))){var e=m(t),r=x(t);t.parcatsViewModel.graphDiv.emit(\"plotly_unhover\",{points:e,event:n.event,constraints:r})}}function m(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=m(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 c.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 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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||m()})).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,u=o.svgBrush;if(u.wasDragged=!1,u.grabbingBar=\"ns\"===s.region,u.grabbingBar){var c=l.map(e.unitToPaddedPx);u.grabPoint=r-c[0]-n.verticalPadding,u.barLength=c[1]-c[0]}u.clickableOrdinalRange=s.clickableOrdinalRange,u.stayingIntervals=e.multiselect&&o.filterSpecified?o.filter.getConsolidated():[],l&&(u.stayingIntervals=u.stayingIntervals.filter((function(t){return t[0]!==l[0]&&t[1]!==l[1]}))),u.startExtent=s.region?l[\"s\"===s.region?1:0]:a,e.parent.inBrushDrag=!0,u.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,m(),!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 u=a.newExtent[1]>a.newExtent[0];a.extent=a.stayingIntervals.concat(u?[a.newExtent]:[]),a.extent.length||M(r),a.brushCallback(e),u?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}t.exports={makeBrush:function(t,e,r,n,i,a){var o,l=function(){var t,e,r=[];return{set:function(n){1===(r=n.map((function(t){return t.slice().sort(s)})).sort(A)).length&&r[0][0]===-1/0&&r[0][1]===1/0&&(r=[[0,-1]]),t=S(r),e=r.reduce((function(t,e){return[Math.min(t[0],e[0]),Math.max(t[1],e[1])]}),[1/0,-1/0])},get:function(){return r.slice()},getConsolidated:function(){return t},getBounds:function(){return e}}}();return l.set(r),{filter:l,filterSpecified:e,svgBrush:{extent:[],brushStartCallback:n,brushCallback:(o=i,function(t){var e=t.brush,r=function(t){return t.svgBrush.extent.map((function(t){return t.slice()}))}(e),n=r.slice();e.filter.set(n),o()}),brushEndCallback:a}}},ensureAxisBrush:function(t,e,r){var i=t.selectAll(\".\"+n.cn.axisBrush).data(o,a);i.enter().append(\"g\").classed(n.cn.axisBrush,!0),function(t,e,r){var i=r._context.staticPlot,a=t.selectAll(\".background\").data(o);a.enter().append(\"rect\").classed(\"background\",!0).call(d).call(v).style(\"pointer-events\",i?\"none\":\"auto\").attr(\"transform\",l(0,n.verticalPadding)),a.call(k).attr(\"height\",(function(t){return t.height-n.verticalPadding}));var s=t.selectAll(\".highlight-shadow\").data(o);s.enter().append(\"line\").classed(\"highlight-shadow\",!0).attr(\"x\",-n.bar.width/2).attr(\"stroke-width\",n.bar.width+n.bar.strokeWidth).attr(\"stroke\",e).attr(\"opacity\",n.bar.strokeOpacity).attr(\"stroke-linecap\",\"butt\"),s.attr(\"y1\",(function(t){return t.height})).call(x);var u=t.selectAll(\".highlight\").data(o);u.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\"),u.attr(\"y1\",(function(t){return t.height})).call(x)}(i,e,r)},cleanRanges:function(t,e){if(Array.isArray(t[0])?(t=t.map((function(t){return t.sort(s)})),t=e.multiselect?S(t.sort(A)):[t[0]]):t=[t.sort(s)],e.tickvals){var r=e.tickvals.slice().sort(s);if(!(t=t.map((function(t){var e=[p(0,r,t[0],[]),p(1,r,t[1],[])];if(e[1]>e[0])return e})).filter((function(t){return t}))).length)return}return t.length>1?t:t[0]}}},61664:function(t,e,r){\"use strict\";t.exports={attributes:r(82296),supplyDefaults:r(60664),calc:r(95044),colorbar:{container:\"line\",min:\"cmin\",max:\"cmax\"},moduleType:\"trace\",name:\"parcoords\",basePlotModule:r(19976),categories:[\"gl\",\"regl\",\"noOpacity\",\"noHover\"],meta:{}}},19976:function(t,e,r){\"use strict\";var n=r(33428),i=r(84888)._M,a=r(24196),o=r(9616);e.name=\"parcoords\",e.plot=function(t){var e=i(t.calcdata,\"parcoords\")[0];e.length&&a(t,e)},e.clean=function(t,e,r,n){var i=n._has&&n._has(\"parcoords\"),a=e._has&&e._has(\"parcoords\");i&&!a&&(n._paperdiv.selectAll(\".parcoords\").remove(),n._glimages.selectAll(\"*\").remove())},e.toSVG=function(t){var e=t._fullLayout._glimages,r=n.select(t).selectAll(\".svg-container\");r.filter((function(t,e){return e===r.size()-1})).selectAll(\".gl-canvas-context, .gl-canvas-focus\").each((function(){var t=this,r=t.toDataURL(\"image/png\");e.append(\"svg:image\").attr({xmlns:o.svg,\"xlink:href\":r,preserveAspectRatio:\"none\",x:0,y:0,width:t.style.width,height:t.style.height})})),window.setTimeout((function(){n.selectAll(\"#filterBarPattern\").attr(\"id\",\"filterBarPattern\")}),60)}},95044:function(t,e,r){\"use strict\";var n=r(3400).isArrayOrTypedArray,i=r(8932),a=r(71688).wrap;t.exports=function(t,e){var r,o;return i.hasColorscale(e,\"line\")&&n(e.line.color)?(r=e.line.color,o=i.extractOpts(e.line).colorscale,i.calc(t,e,{vals:r,containerStr:\"line\",cLetter:\"c\"})):(r=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=.5;return e}(e._length),o=[[0,e.line.color],[1,e.line.color]]),a({lineColor:r,cscale:o})}},30140:function(t){\"use strict\";t.exports={maxDimensionCount:60,overdrag:45,verticalPadding:2,tickDistance:50,canvasPixelRatio:1,blockLineCount:5e3,layers:[\"contextLineLayer\",\"focusLineLayer\",\"pickLineLayer\"],axisTitleOffset:28,axisExtentOffset:10,bar:{width:4,captureWidth:10,fillColor:\"magenta\",fillOpacity:1,snapDuration:150,snapRatio:.25,snapClose:.01,strokeOpacity:1,strokeWidth:1,handleHeight:8,handleOpacity:1,handleOverlap:0},cn:{axisExtentText:\"axis-extent-text\",parcoordsLineLayers:\"parcoords-line-layers\",parcoordsLineLayer:\"parcoords-lines\",parcoords:\"parcoords\",parcoordsControlView:\"parcoords-control-view\",yAxis:\"y-axis\",axisOverlays:\"axis-overlays\",axis:\"axis\",axisHeading:\"axis-heading\",axisTitle:\"axis-title\",axisExtent:\"axis-extent\",axisExtentTop:\"axis-extent-top\",axisExtentTopText:\"axis-extent-top-text\",axisExtentBottom:\"axis-extent-bottom\",axisExtentBottomText:\"axis-extent-bottom-text\",axisBrush:\"axis-brush\"},id:{filterBarPattern:\"filter-bar-pattern\"}}},60664:function(t,e,r){\"use strict\";var n=r(3400),i=r(94288).hasColorscale,a=r(27260),o=r(86968).Q,s=r(51272),l=r(54460),u=r(82296),c=r(71864),f=r(30140).maxDimensionCount,h=r(26284);function p(t,e,r,i){function a(r,i){return n.coerce(t,e,u.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=c.cleanRanges(h,e))}}t.exports=function(t,e,r,l){function c(r,i){return n.coerce(t,e,u,r,i)}var d=t.dimensions;Array.isArray(d)&&d.length>f&&(n.log(\"parcoords traces support up to \"+f+\" dimensions at the moment\"),d.splice(f));var v=s(t,e,{name:\"dimensions\",layout:l,handleItemDefaults:p}),g=function(t,e,r,o,s){var l=s(\"line.color\",r);if(i(t,\"line\")&&n.isArrayOrTypedArray(l)){if(l.length)return s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,\"values\",g);var y={weight:l.font.weight,style:l.font.style,variant:l.font.variant,family:l.font.family,size:Math.round(l.font.size/1.2),color:l.font.color};n.coerceFont(c,\"labelfont\",y),n.coerceFont(c,\"tickfont\",y),n.coerceFont(c,\"rangefont\",y),c(\"labelangle\"),c(\"labelside\"),c(\"unselected.line.color\"),c(\"unselected.line.opacity\")}},95724:function(t,e,r){\"use strict\";var n=r(3400).isTypedArray;e.convertTypedArray=function(t){return n(t)?Array.prototype.slice.call(t):t},e.isOrdinal=function(t){return!!t.tickvals},e.isVisible=function(t){return t.visible||!(\"visible\"in t)}},29928:function(t,e,r){\"use strict\";var n=r(61664);n.plot=r(24196),t.exports=n},51352:function(t,e,r){\"use strict\";var n=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"attribute vec4 p01_04, p05_08, p09_12, p13_16,\",\"               p17_20, p21_24, p25_28, p29_32,\",\"               p33_36, p37_40, p41_44, p45_48,\",\"               p49_52, p53_56, p57_60, colors;\",\"\",\"uniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\",\"             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\",\"\",\"uniform vec2 resolution, viewBoxPos, viewBoxSize;\",\"uniform float maskHeight;\",\"uniform float drwLayer; // 0: context, 1: focus, 2: pick\",\"uniform vec4 contextColor;\",\"uniform sampler2D maskTexture, palette;\",\"\",\"bool isPick    = (drwLayer > 1.5);\",\"bool isContext = (drwLayer < 0.5);\",\"\",\"const vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\",\"const vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\",\"\",\"float val(mat4 p, mat4 v) {\",\"    return dot(matrixCompMult(p, v) * UNITS, UNITS);\",\"}\",\"\",\"float axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\",\"    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\",\"    return y1 * (1.0 - ratio) + y2 * ratio;\",\"}\",\"\",\"int iMod(int a, int b) {\",\"    return a - b * (a / b);\",\"}\",\"\",\"bool fOutside(float p, float lo, float hi) {\",\"    return (lo < hi) && (lo > p || p > hi);\",\"}\",\"\",\"bool vOutside(vec4 p, vec4 lo, vec4 hi) {\",\"    return (\",\"        fOutside(p[0], lo[0], hi[0]) ||\",\"        fOutside(p[1], lo[1], hi[1]) ||\",\"        fOutside(p[2], lo[2], hi[2]) ||\",\"        fOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool mOutside(mat4 p, mat4 lo, mat4 hi) {\",\"    return (\",\"        vOutside(p[0], lo[0], hi[0]) ||\",\"        vOutside(p[1], lo[1], hi[1]) ||\",\"        vOutside(p[2], lo[2], hi[2]) ||\",\"        vOutside(p[3], lo[3], hi[3])\",\"    );\",\"}\",\"\",\"bool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    return mOutside(A, loA, hiA) ||\",\"           mOutside(B, loB, hiB) ||\",\"           mOutside(C, loC, hiC) ||\",\"           mOutside(D, loD, hiD);\",\"}\",\"\",\"bool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    mat4 pnts[4];\",\"    pnts[0] = A;\",\"    pnts[1] = B;\",\"    pnts[2] = C;\",\"    pnts[3] = D;\",\"\",\"    for(int i = 0; i < 4; ++i) {\",\"        for(int j = 0; j < 4; ++j) {\",\"            for(int k = 0; k < 4; ++k) {\",\"                if(0 == iMod(\",\"                    int(255.0 * texture2D(maskTexture,\",\"                        vec2(\",\"                            (float(i * 2 + j / 2) + 0.5) / 8.0,\",\"                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\",\"                        ))[3]\",\"                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\",\"                    2\",\"                )) return true;\",\"            }\",\"        }\",\"    }\",\"    return false;\",\"}\",\"\",\"vec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\",\"    float x = 0.5 * sign(v) + 0.5;\",\"    float y = axisY(x, A, B, C, D);\",\"    float z = 1.0 - abs(v);\",\"\",\"    z += isContext ? 0.0 : 2.0 * float(\",\"        outsideBoundingBox(A, B, C, D) ||\",\"        outsideRasterMask(A, B, C, D)\",\"    );\",\"\",\"    return vec4(\",\"        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\",\"        z,\",\"        1.0\",\"    );\",\"}\",\"\",\"void main() {\",\"    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\",\"    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\",\"    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\",\"    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\",\"\",\"    float v = colors[3];\",\"\",\"    gl_Position = position(isContext, v, A, B, C, D);\",\"\",\"    fragColor =\",\"        isContext ? vec4(contextColor) :\",\"        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\",\"}\"].join(\"\\n\"),i=[\"precision highp float;\",\"\",\"varying vec4 fragColor;\",\"\",\"void main() {\",\"    gl_FragColor = fragColor;\",\"}\"].join(\"\\n\"),a=r(30140).maxDimensionCount,o=r(3400),s=1e-6,l=new Uint8Array(4),u=new Uint8Array(4),c={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 u=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*u,a.offset=2*l*n,e(a),l*n+u<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 v(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,u=r[64*a+l];63===l&&0===o&&(u*=-1),n[i++]=u}return n}function g(t){var e=\"0\"+t;return e.substr(e.length-2)}function y(t){return t<a?\"p\"+g(t+1)+\"_\"+g(t+4):\"colors\"}function m(t,e,r,n,i,a,s,l,u,c,f,h,p,d){for(var v=[[],[]],g=0;g<64;g++)v[0][g]=g===i?1:0,v[1][g]=g===a?1:0;s*=d,l*=d,u*=d,c*=d;var y=t.lines.canvasOverdrag*d,m=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,M=t.deselectedLines.opacity;return o.extendFlat({key:f,resolution:[x,b],viewBoxPos:[s+y,l],viewBoxSize:[u,c],i0:i,i1:a,dim0A:v[0].slice(0,16),dim0B:v[0].slice(16,32),dim0C:v[0].slice(32,48),dim0D:v[0].slice(48,64),dim1A:v[1].slice(0,16),dim1B:v[1].slice(16,32),dim1C:v[1].slice(32,48),dim1D:v[1].slice(48,64),drwLayer:h,contextColor:[A[0]/255,A[1]/255,A[2]/255,\"auto\"!==M?A[3]*M:Math.max(1/255,Math.pow(1/t.lines.color.length,1/3))],scissorX:(n===e?0:s+y)+(_-y)+k*m.x[0],scissorWidth:(n===r?x-s+y:u+.5)+(n===e?s+y:0),scissorY:l+w+T*m.y[0],scissorHeight:c,viewportX:_-y+k*m.x[0],viewportY:w+T*m.y[0],viewportWidth:x,viewportHeight:b},p)}function x(t){var e=2047,r=Math.max(0,Math.floor(t[0]*e),0),n=Math.min(e,Math.ceil(t[1]*e),e);return[Math.min(r,n),Math.max(r,n)]}t.exports=function(t,e){var r,l,g,b,_,w=e.context,T=e.pick,k=e.regl,A=k._gl,M=A.getParameter(A.ALIASED_LINE_WIDTH_RANGE),S=Math.max(M[0],Math.min(M[1],e.viewModel.plotGlPixelRatio)),E={currentRafs:{},drawCompleted:!0,clearOnly:!1},L=function(t){for(var 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a=u[e][n],o=i.map((function(t){return t.slice()})),s=\"dimensions[\"+n+\"].constraintrange\",l=r._tracePreGUI[t._fullData[c[e]]._fullInput.uid];if(void 0===l[s]){var h=a.constraintrange;l[s]=h||null}var p=t._fullData[c[e]].dimensions[n];o.length?(1===o.length&&(o=o[0]),a.constraintrange=o,p.constraintrange=o.slice(),o=[o]):(delete a.constraintrange,delete p.constraintrange,o=null);var d={};d[s]=o,t.emit(\"plotly_restyle\",[d,[f[e]]])},hover:function(e){t.emit(\"plotly_hover\",e)},unhover:function(e){t.emit(\"plotly_unhover\",e)},axesMoved:function(e,r){var n=function(t,e){return function(r,n){return s(t,e,r)-s(t,e,n)}}(r,u[e].filter(a));l[e].sort(n),u[e].filter((function(t){return!a(t)})).sort((function(t){return u[e].indexOf(t)})).forEach((function(t){l[e].splice(l[e].indexOf(t),1),l[e].splice(u[e].indexOf(t),0,t)})),t.emit(\"plotly_restyle\",[{dimensions:[l[e]]},[f[e]]])}})}}).reglPrecompiled=o},74996:function(t,e,r){\"use strict\";var n=r(45464),i=r(86968).u,a=r(25376),o=r(22548),s=r(21776).Ks,l=r(21776).Gw,u=r(92880).extendFlat,c=r(98192).c,f=a({editType:\"plot\",arrayOk:!0,colorEditType:\"plot\"});t.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\"},pattern:c,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:u({},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:u({},f,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:u({},f,{}),outsidetextfont:u({},f,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:u({},f,{}),position:{valType:\"enumerated\",values:[\"top 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n=r(7316);e.name=\"pie\",e.plot=function(t,r,i,a){n.plotBasePlot(e.name,t,r,i,a)},e.clean=function(t,r,i,a){n.cleanBasePlot(e.name,t,r,i,a)}},45768:function(t,e,r){\"use strict\";var n=r(38248),i=r(49760),a=r(76308),o={};function s(t){return function(e,r){return!!e&&!!(e=i(e)).isValid()&&(e=a.addOpacity(e,e.getAlpha()),t[r]||(t[r]=e),e)}}function l(t,e){var r,n=JSON.stringify(t),a=e[n];if(!a){for(a=t.slice(),r=0;r<t.length;r++)a.push(i(t[r]).lighten(20).toHexString());for(r=0;r<t.length;r++)a.push(i(t[r]).darken(20).toHexString());e[n]=a}return a}t.exports={calc:function(t,e){var r,i,a=[],o=t._fullLayout,l=o.hiddenlabels||[],u=e.labels,c=e.marker.colors||[],f=e.values,h=e._length,p=e._hasValues&&h;if(e.dlabel)for(u=new Array(h),r=0;r<h;r++)u[r]=String(e.label0+r*e.dlabel);var d={},v=s(o[\"_\"+e.type+\"colormap\"]),g=0,y=!1;for(r=0;r<h;r++){var m,x,b;if(p){if(m=f[r],!n(m))continue;m=+m}else m=1;void 0!==(x=u[r])&&\"\"!==x||(x=r);var _=d[x=String(x)];void 0===_?(d[x]=a.length,(b=-1!==l.indexOf(x))||(g+=m),a.push({v:m,label:x,color:v(c[r],x),i:r,pts:[r],hidden:b})):(y=!0,(i=a[_]).v+=m,i.pts.push(r),i.hidden||(g+=m),!1===i.color&&c[r]&&(i.color=v(c[r],x)))}return a=a.filter((function(t){return t.v>=0})),(\"funnelarea\"===e.type?y:e.sort)&&a.sort((function(t,e){return e.v-t.v})),a[0]&&(a[0].vTotal=g),a},crossTraceCalc:function(t,e){var r=(e||{}).type;r||(r=\"pie\");var n=t._fullLayout,i=t.calcdata,a=n[r+\"colorway\"],s=n[\"_\"+r+\"colormap\"];n[\"extend\"+r+\"colors\"]&&(a=l(a,o));for(var u=0,c=0;c<i.length;c++){var f=i[c];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[u%a.length],u++))}}},makePullColorFn:s,generateExtendedColors:l}},74174:function(t,e,r){\"use strict\";var n=r(38248),i=r(3400),a=r(74996),o=r(86968).Q,s=r(31508).handleText,l=r(3400).coercePattern;function u(t,e){var r=i.isArrayOrTypedArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var u=e[l];if(n(u)&&u>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}function c(t,e,r,n,i){n(\"marker.line.width\")&&n(\"marker.line.color\",i?void 0:r.paper_bgcolor);var a=n(\"marker.colors\");l(n,\"marker.pattern\",a),t.marker&&!e.marker.pattern.fgcolor&&(e.marker.pattern.fgcolor=t.marker.colors),e.marker.pattern.bgcolor||(e.marker.pattern.bgcolor=r.paper_bgcolor)}t.exports={handleLabelsAndValues:u,handleMarkerDefaults:c,supplyDefaults:function(t,e,r,n){function l(r,n){return i.coerce(t,e,a,r,n)}var f=u(l(\"labels\"),l(\"values\")),h=f.len;if(e._hasLabels=f.hasLabels,e._hasValues=f.hasValues,!e._hasLabels&&e._hasValues&&(l(\"label0\"),l(\"dlabel\")),h){e._length=h,c(t,e,n,l,!0),l(\"scalegroup\");var p,d=l(\"text\"),v=l(\"texttemplate\");if(v||(p=l(\"textinfo\",i.isArrayOrTypedArray(d)?\"text+percent\":\"percent\")),l(\"hovertext\"),l(\"hovertemplate\"),v||p&&\"none\"!==p){var g=l(\"textposition\");s(t,e,n,l,g,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(g)||\"auto\"===g||\"outside\"===g)&&l(\"automargin\"),(\"inside\"===g||\"auto\"===g||Array.isArray(g))&&l(\"insidetextorientation\")}else\"none\"===p&&l(\"textposition\",\"none\");o(e,n,l);var y=l(\"hole\");if(l(\"title.text\")){var m=l(\"title.position\",y?\"middle center\":\"top center\");y||\"middle center\"!==m||(e.title.position=\"top center\"),i.coerceFont(l,\"title.font\",n.font)}l(\"sort\"),l(\"direction\"),l(\"rotation\"),l(\"pull\")}else e.visible=!1}}},53644:function(t,e,r){\"use strict\";var n=r(10624).appendArrayMultiPointValues;t.exports=function(t,e){var r={curveNumber:e.index,pointNumbers:t.pts,data:e._input,fullData:e,label:t.label,color:t.color,value:t.v,percent:t.percent,text:t.text,bbox:t.bbox,v:t.v};return 1===t.pts.length&&(r.pointNumber=r.i=t.pts[0]),n(r,e,t.pts),\"funnelarea\"===e.type&&(delete r.v,delete r.i),r}},21552:function(t,e,r){\"use strict\";var n=r(43616),i=r(76308);t.exports=function(t,e,r,a){var o=r.marker.pattern;o&&o.shape?n.pointStyle(t,r,a,e):i.fill(t,e.color)}},69656:function(t,e,r){\"use strict\";var n=r(3400);function i(t){return-1!==t.indexOf(\"e\")?t.replace(/[.]?0+e/,\"e\"):-1!==t.indexOf(\".\")?t.replace(/[.]?0+$/,\"\"):t}e.formatPiePercent=function(t,e){var r=i((100*t).toPrecision(3));return n.numSeparate(r,e)+\"%\"},e.formatPieValue=function(t,e){var r=i(t.toPrecision(10));return n.numSeparate(r,e)},e.getFirstFilled=function(t,e){if(n.isArrayOrTypedArray(t))for(var r=0;r<e.length;r++){var i=t[e[r]];if(i||0===i||\"\"===i)return i}},e.castOption=function(t,r){return n.isArrayOrTypedArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},75792:function(t,e,r){\"use strict\";t.exports={attributes:r(74996),supplyDefaults:r(74174).supplyDefaults,supplyLayoutDefaults:r(90248),layoutAttributes:r(85204),calc:r(45768).calc,crossTraceCalc:r(45768).crossTraceCalc,plot:r(37820).plot,style:r(22152),styleOne:r(10528),moduleType:\"trace\",name:\"pie\",basePlotModule:r(80036),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},85204:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},90248:function(t,e,r){\"use strict\";var n=r(3400),i=r(85204);t.exports=function(t,e){function r(r,a){return n.coerce(t,e,i,r,a)}r(\"hiddenlabels\"),r(\"piecolorway\",e.colorway),r(\"extendpiecolors\")}},37820:function(t,e,r){\"use strict\";var n=r(33428),i=r(7316),a=r(93024),o=r(76308),s=r(43616),l=r(3400),u=l.strScale,c=l.strTranslate,f=r(72736),h=r(82744),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(78048).TEXTPAD,g=r(69656),y=r(53644),m=r(3400).isValidTextValue;function x(t,e,r){var i=r[0],o=i.cx,s=i.cy,u=i.trace,c=\"funnelarea\"===u.type;\"_hasHoverLabel\"in u||(u._hasHoverLabel=!1),\"_hasHoverEvent\"in u||(u._hasHoverEvent=!1),t.on(\"mouseover\",(function(t){var r=e._fullLayout,f=e._fullData[u.index];if(!e._dragging&&!1!==r.hovermode){var h=f.hoverinfo;if(Array.isArray(h)&&(h=a.castHoverinfo({hoverinfo:[g.castOption(h,t.pts)],_module:u._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),v=s+t.pxmid[1]*(1-p),m=r.separators,x=[];if(h&&-1!==h.indexOf(\"label\")&&x.push(t.label),t.text=g.castOption(f.hovertext||f.text,t.pts),h&&-1!==h.indexOf(\"text\")){var b=t.text;l.isValidTextValue(b)&&x.push(b)}t.value=t.v,t.valueLabel=g.formatPieValue(t.v,m),h&&-1!==h.indexOf(\"value\")&&x.push(t.valueLabel),t.percent=t.v/i.vTotal,t.percentLabel=g.formatPiePercent(t.percent,m),h&&-1!==h.indexOf(\"percent\")&&x.push(t.percentLabel);var _=f.hoverlabel,w=_.font,T=[];a.loneHover({trace:u,x0:d-p*i.r,x1:d+p*i.r,y:v,_x0:c?o+t.TL[0]:d-p*i.r,_x1:c?o+t.TR[0]:d+p*i.r,_y0:c?s+t.TL[1]:v-p*i.r,_y1:c?s+t.BL[1]:v+p*i.r,text:x.join(\"<br>\"),name:f.hovertemplate||-1!==h.indexOf(\"name\")?f.name:void 0,idealAlign:t.pxmid[0]<0?\"left\":\"right\",color:g.castOption(_.bgcolor,t.pts)||t.color,borderColor:g.castOption(_.bordercolor,t.pts),fontFamily:g.castOption(w.family,t.pts),fontSize:g.castOption(w.size,t.pts),fontColor:g.castOption(w.color,t.pts),nameLength:g.castOption(_.namelength,t.pts),textAlign:g.castOption(_.align,t.pts),hovertemplate:g.castOption(f.hovertemplate,t.pts),hovertemplateLabels:t,eventData:[y(t,f)]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:e,inOut_bbox:T}),t.bbox=T[0],u._hasHoverLabel=!0}u._hasHoverEvent=!0,e.emit(\"plotly_hover\",{points:[y(t,f)],event:n.event})}})),t.on(\"mouseout\",(function(t){var r=e._fullLayout,i=e._fullData[u.index],o=n.select(this).datum();u._hasHoverEvent&&(t.originalEvent=n.event,e.emit(\"plotly_unhover\",{points:[y(o,i)],event:n.event}),u._hasHoverEvent=!1),u._hasHoverLabel&&(a.loneUnhover(r._hoverlayer.node()),u._hasHoverLabel=!1)})),t.on(\"click\",(function(t){var r=e._fullLayout,i=e._fullData[u.index];e._dragging||!1===r.hovermode||(e._hoverdata=[y(t,i)],a.click(e,n.event))}))}function b(t,e,r){var n=g.castOption(t.insidetextfont.color,e.pts);!n&&t._input.textfont&&(n=g.castOption(t._input.textfont.color,e.pts));var i=g.castOption(t.insidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,a=g.castOption(t.insidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,s=g.castOption(t.insidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,l=g.castOption(t.insidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,u=g.castOption(t.insidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant;return{color:n||o.contrast(e.color),family:i,size:a,weight:s,style:l,variant:u}}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 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m=Math.sqrt(t.width*t.width+t.height*t.height);if((a={scale:i*n*2/m,rCenter:1-i,rotate:0}).textPosAngle=(e.startangle+e.stopangle)/2,a.scale>=1)return a;v.push(a)}(d||p)&&((a=T(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a)),(d||h)&&((a=k(t,n,o,l,u)).textPosAngle=(e.startangle+e.stopangle)/2,v.push(a));for(var x=0,b=0,_=0;_<v.length;_++){var w=v[_].scale;if(b<w&&(b=w,x=_),!d&&b>=1)break}return v[x]}function T(t,e,r,n,i){e=Math.max(0,e-2*v);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*v);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=O(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,u=t.r/(void 0===(l=t.trace.aspectratio)?1:l),c=e.w*(a.domain.x[1]-a.domain.x[0])/2;return-1!==a.title.position.indexOf(\"left\")?(c+=u,o.x-=(1+i)*u,s.tx+=t.titleBox.width/2):-1!==a.title.position.indexOf(\"center\")?c*=2:-1!==a.title.position.indexOf(\"right\")&&(c+=u,o.x+=(1+i)*u,s.tx-=t.titleBox.width/2),r=c/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 O(t){var e,r=t.pull;if(!r)return 0;if(l.isArrayOrTypedArray(r))for(r=0,e=0;e<t.pull.length;e++)t.pull[e]>r&&(r=t.pull[e]);return r}function I(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 u=s/2,c=l/2;\"funnelarea\"!==a.type||a.scalegroup||(c/=a.aspectratio),i.r=Math.min(u,c)/(1+O(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((i=(r=t[n][0]).trace).scalegroup===s){var l;if(\"pie\"===i.type)l=r.r*r.r;else if(\"funnelarea\"===i.type){var u,c;i.aspectratio>1?c=(u=r.r)/i.aspectratio:u=(c=r.r)*i.aspectratio,l=(u*=(1+i.baseratio)/2)*c}o=Math.min(o,l/r.vTotal)}for(n=0;n<t.length;n++)if((i=(r=t[n][0]).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,u=o.split(\"+\"),c=function(t){return-1!==u.indexOf(t)},f=c(\"label\"),h=c(\"text\"),p=c(\"value\"),d=c(\"percent\"),v=n.separators;if(s=f?[e.label]:[],h){var y=g.getFirstFilled(i.text,e.pts);m(y)&&s.push(y)}p&&s.push(g.formatPieValue(e.v,v)),d&&s.push(g.formatPiePercent(e.v/r.vTotal,v)),e.text=s.join(\"<br>\")}if(a){var x=l.castOption(i,e.i,\"texttemplate\");if(x){var b=function(t){return{label:t.label,value:t.v,valueLabel:g.formatPieValue(t.v,n.separators),percent:t.v/r.vTotal,percentLabel:g.formatPiePercent(t.v/r.vTotal,n.separators),color:t.color,text:t.text,customdata:l.castOption(i,t.i,\"customdata\")}}(e),_=g.getFirstFilled(i.text,e.pts);(m(_)||\"\"===_)&&(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}t.exports={plot:function(t,e){var r=t._context.staticPlot,a=t._fullLayout,h=a._size;d(\"pie\",a),_(e,t),I(e,h);var v=l.makeTraceGroups(a._pielayer,e,\"trace\").each((function(e){var d=n.select(this),v=e[0],y=v.trace;!function(t){var e,r,n,i=t[0],a=i.r,o=i.trace,s=g.getRotationAngle(o.rotation),l=2*Math.PI/i.vTotal,u=\"px0\",c=\"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,u=\"px1\",c=\"px0\"}for(n=z(a,s),e=0;e<t.length;e++)(r=t[e]).hidden||(r[u]=n,r.startangle=s,s+=l*r.v/2,r.pxmid=z(a,s),r.midangle=s,n=z(a,s+=l*r.v/2),r.stopangle=s,r[c]=n,r.largeArc=r.v>i.vTotal/2?1:0,r.halfangle=Math.PI*Math.min(r.v/i.vTotal,.5),r.ring=1-o.hole,r.rInscribed=E(r,i))}(e),d.attr(\"stroke-linejoin\",\"round\"),d.each((function(){var m=n.select(this).selectAll(\"g.slice\").data(e);m.enter().append(\"g\").classed(\"slice\",!0),m.exit().remove();var _=[[[],[]],[[],[]]],T=!1;m.each((function(i,o){if(i.hidden)n.select(this).selectAll(\"path,g\").remove();else{i.pointNumber=i.i,i.curveNumber=y.index,_[i.pxmid[1]<0?0:1][i.pxmid[0]<0?0:1].push(i);var u=v.cx,c=v.cy,h=n.select(this),d=h.selectAll(\"path.surface\").data([i]);if(d.enter().append(\"path\").classed(\"surface\",!0).style({\"pointer-events\":r?\"none\":\"all\"}),h.call(x,t,e),y.pull){var m=+g.castOption(y.pull,i.pts)||0;m>0&&(u+=m*i.pxmid[0],c+=m*i.pxmid[1])}i.cxFinal=u,i.cyFinal=c;var k=y.hole;if(i.v===v.vTotal){var A=\"M\"+(u+i.px0[0])+\",\"+(c+i.px0[1])+P(i.px0,i.pxmid,!0,1)+P(i.pxmid,i.px0,!0,1)+\"Z\";k?d.attr(\"d\",\"M\"+(u+k*i.px0[0])+\",\"+(c+k*i.px0[1])+P(i.px0,i.pxmid,!1,k)+P(i.pxmid,i.px0,!1,k)+\"Z\"+A):d.attr(\"d\",A)}else{var M=P(i.px0,i.px1,!0,1);if(k){var S=1-k;d.attr(\"d\",\"M\"+(u+k*i.px1[0])+\",\"+(c+k*i.px1[1])+P(i.px1,i.px0,!1,k)+\"l\"+S*i.px0[0]+\",\"+S*i.px0[1]+M+\"Z\")}else d.attr(\"d\",\"M\"+u+\",\"+c+\"l\"+i.px0[0]+\",\"+i.px0[1]+M+\"Z\")}D(t,i,v);var E=g.castOption(y.textposition,i.pts),C=h.selectAll(\"g.slicetext\").data(i.text&&\"none\"!==E?[0]:[]);C.enter().append(\"g\").classed(\"slicetext\",!0),C.exit().remove(),C.each((function(){var r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),h=l.ensureUniformFontSize(t,\"outside\"===E?function(t,e,r){return{color:g.castOption(t.outsidetextfont.color,e.pts)||g.castOption(t.textfont.color,e.pts)||r.color,family:g.castOption(t.outsidetextfont.family,e.pts)||g.castOption(t.textfont.family,e.pts)||r.family,size:g.castOption(t.outsidetextfont.size,e.pts)||g.castOption(t.textfont.size,e.pts)||r.size,weight:g.castOption(t.outsidetextfont.weight,e.pts)||g.castOption(t.textfont.weight,e.pts)||r.weight,style:g.castOption(t.outsidetextfont.style,e.pts)||g.castOption(t.textfont.style,e.pts)||r.style,variant:g.castOption(t.outsidetextfont.variant,e.pts)||g.castOption(t.textfont.variant,e.pts)||r.variant}}(y,i,a.font):b(y,i,a.font));r.text(i.text).attr({class:\"slicetext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,h).call(f.convertToTspans,t);var d,m=s.bBox(r.node());if(\"outside\"===E)d=L(m,i);else if(d=w(m,i,v),\"auto\"===E&&d.scale<1){var x=l.ensureUniformFontSize(t,y.outsidetextfont);r.call(s.font,x),d=L(m=s.bBox(r.node()),i)}var _=d.textPosAngle,k=void 0===_?i.pxmid:z(v.r,_);if(d.targetX=u+k[0]*d.rCenter+(d.x||0),d.targetY=c+k[1]*d.rCenter+(d.y||0),R(d,m),d.outside){var A=d.targetY;i.yLabelMin=A-m.height/2,i.yLabelMid=A,i.yLabelMax=A+m.height/2,i.labelExtraX=0,i.labelExtraY=0,T=!0}d.fontSize=h.size,p(y.type,d,a),e[o].transform=d,l.setTransormAndDisplay(r,d)}))}function P(t,e,r,n){var a=n*(e[0]-t[0]),o=n*(e[1]-t[1]);return\"a\"+n*v.r+\",\"+n*v.r+\" 0 \"+i.largeArc+(r?\" 1 \":\" 0 \")+a+\",\"+o}}));var k=n.select(this).selectAll(\"g.titletext\").data(y.title.text?[0]:[]);if(k.enter().append(\"g\").classed(\"titletext\",!0),k.exit().remove(),k.each((function(){var e,r=l.ensureSingle(n.select(this),\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),i=y.title.text;y._meta&&(i=l.templateString(i,y._meta)),r.text(i).attr({class:\"titletext\",transform:\"\",\"text-anchor\":\"middle\"}).call(s.font,y.title.font).call(f.convertToTspans,t),e=\"middle center\"===y.title.position?function(t){var e=Math.sqrt(t.titleBox.width*t.titleBox.width+t.titleBox.height*t.titleBox.height);return{x:t.cx,y:t.cy,scale:t.trace.hole*t.r*2/e,tx:0,ty:-t.titleBox.height/2+t.trace.title.font.size}}(v):C(v,h),r.attr(\"transform\",c(e.x,e.y)+u(Math.min(1,e.scale))+c(e.tx,e.ty))})),T&&function(t,e){var r,n,i,a,o,s,u,c,f,h,p,d,v;function y(t,e){return t.pxmid[1]-e.pxmid[1]}function m(t,e){return e.pxmid[1]-t.pxmid[1]}function x(t,r){r||(r={});var i,c,f,p,d=r.labelExtraY+(n?r.yLabelMax:r.yLabelMin),v=n?t.yLabelMin:t.yLabelMax,y=n?t.yLabelMax:t.yLabelMin,m=t.cyFinal+o(t.px0[1],t.px1[1]),x=d-v;if(x*u>0&&(t.labelExtraY=x),l.isArrayOrTypedArray(e.pull))for(c=0;c<h.length;c++)(f=h[c])===t||(g.castOption(e.pull,t.pts)||0)>=(g.castOption(e.pull,f.pts)||0)||((t.pxmid[1]-f.pxmid[1])*u>0?(x=f.cyFinal+o(f.px0[1],f.px1[1])-v-t.labelExtraY)*u>0&&(t.labelExtraY+=x):(y+t.labelExtraY-m)*u>0&&(i=3*s*Math.abs(c-h.indexOf(t)),(p=f.cxFinal+a(f.px0[0],f.px1[0])+i-(t.cxFinal+t.pxmid[0])-t.labelExtraX)*s>0&&(t.labelExtraX+=p)))}for(n=0;n<2;n++)for(i=n?y:m,o=n?Math.max:Math.min,u=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),f=t[1-n][r],h=f.concat(c),d=[],p=0;p<c.length;p++)void 0!==c[p].yLabelMid&&d.push(c[p]);for(v=!1,p=0;n&&p<f.length;p++)if(void 0!==f[p].yLabelMid){v=f[p];break}for(p=0;p<d.length;p++){var b=p&&d[p-1];v&&!p&&(b=v),x(d[p],b)}}}(_,y),function(t,e){t.each((function(t){var r=n.select(this);if(t.labelExtraX||t.labelExtraY){var i=r.select(\"g.slicetext text\");t.transform.targetX+=t.labelExtraX,t.transform.targetY+=t.labelExtraY,l.setTransormAndDisplay(i,t.transform);var a=t.cxFinal+t.pxmid[0],s=\"M\"+a+\",\"+(t.cyFinal+t.pxmid[1]),u=(t.yLabelMax-t.yLabelMin)*(t.pxmid[0]<0?-1:1)/4;if(t.labelExtraX){var c=t.labelExtraX*t.pxmid[1]/t.pxmid[0],f=t.yLabelMid+t.labelExtraY-(t.cyFinal+t.pxmid[1]);Math.abs(c)>Math.abs(f)?s+=\"l\"+f*t.pxmid[0]/t.pxmid[1]+\",\"+f+\"H\"+(a+t.labelExtraX+u):s+=\"l\"+t.labelExtraX+\",\"+c+\"v\"+(f-c)+\"h\"+u}else s+=\"V\"+(t.yLabelMid+t.labelExtraY)+\"h\"+u;l.ensureSingle(r,\"path\",\"textline\").call(o.stroke,e.outsidetextfont.color).attr({\"stroke-width\":Math.min(2,e.outsidetextfont.size/8),d:s,fill:\"none\"})}else r.select(\"path.textline\").remove()}))}(m,y),T&&y.automargin){var A=s.bBox(d.node()),M=y.domain,S=h.w*(M.x[1]-M.x[0]),E=h.h*(M.y[1]-M.y[0]),P=(.5*S-v.r)/h.w,O=(.5*E-v.r)/h.h;i.autoMargin(t,\"pie.\"+y.uid+\".automargin\",{xl:M.x[0]-P,xr:M.x[1]+P,yb:M.y[0]-O,yt:M.y[1]+O,l:Math.max(v.cx-v.r-A.left,0),r:Math.max(A.right-(v.cx+v.r),0),b:Math.max(A.bottom-(v.cy+v.r),0),t:Math.max(v.cy-v.r-A.top,0),pad:5})}}))}));setTimeout((function(){v.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:I,attachFxHandlers:x,computeTransform:R}},22152:function(t,e,r){\"use strict\";var n=r(33428),i=r(10528),a=r(82744).resizeText;t.exports=function(t){var e=t._fullLayout._pielayer.selectAll(\".trace\");a(t,e,\"pie\"),e.each((function(e){var r=e[0].trace,a=n.select(this);a.style({opacity:r.opacity}),a.selectAll(\"path.surface\").each((function(e){n.select(this).call(i,e,r,t)}))}))}},10528:function(t,e,r){\"use strict\";var n=r(76308),i=r(69656).castOption,a=r(21552);t.exports=function(t,e,r,o){var s=r.marker.line,l=i(s.color,e.pts)||n.defaultLine,u=i(s.width,e.pts)||0;t.call(a,e,r,o).style(\"stroke-width\",u).call(n.stroke,l)}},35484:function(t,e,r){\"use strict\";var n=r(52904);t.exports={x:n.x,y:n.y,xy:{valType:\"data_array\",editType:\"calc\"},indices:{valType:\"data_array\",editType:\"calc\"},xbounds:{valType:\"data_array\",editType:\"calc\"},ybounds:{valType:\"data_array\",editType:\"calc\"},text:n.text,marker:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,arrayOk:!1,editType:\"calc\"},blend:{valType:\"boolean\",dflt:null,editType:\"calc\"},sizemin:{valType:\"number\",min:.1,max:2,dflt:.5,editType:\"calc\"},sizemax:{valType:\"number\",min:.1,dflt:20,editType:\"calc\"},border:{color:{valType:\"color\",arrayOk:!1,editType:\"calc\"},arearatio:{valType:\"number\",min:0,max:1,dflt:0,editType:\"calc\"},editType:\"calc\"},editType:\"calc\"},transforms:void 0}},11072:function(t,e,r){\"use strict\";var n=r(67792).gl_pointcloud2d,i=r(3400).isArrayOrTypedArray,a=r(43080),o=r(19280).findExtremes,s=r(44928);function l(t,e){this.scene=t,this.uid=e,this.type=\"pointcloud\",this.pickXData=[],this.pickYData=[],this.xData=[],this.yData=[],this.textLabels=[],this.color=\"rgb(0, 0, 0)\",this.name=\"\",this.hoverinfo=\"all\",this.idToIndex=new Int32Array(0),this.bounds=[0,0,0,0],this.pointcloudOptions={positions:new Float32Array(0),idToIndex:this.idToIndex,sizemin:.5,sizemax:12,color:[0,0,0,1],areaRatio:1,borderColor:[0,0,0,1]},this.pointcloud=n(t.glplot,this.pointcloudOptions),this.pointcloud._trace=this}var u=l.prototype;u.handlePick=function(t){var e=this.idToIndex[t.pointId];return{trace:this,dataCoord:t.dataCoord,traceCoord:this.pickXYData?[this.pickXYData[2*e],this.pickXYData[2*e+1]]:[this.pickXData[e],this.pickYData[e]],textLabel:i(this.textLabels)?this.textLabels[e]:this.textLabels,color:this.color,name:this.name,pointIndex:e,hoverinfo:this.hoverinfo}},u.update=function(t){this.index=t.index,this.textLabels=t.text,this.name=t.name,this.hoverinfo=t.hoverinfo,this.bounds=[1/0,1/0,-1/0,-1/0],this.updateFast(t),this.color=s(t,{})},u.updateFast=function(t){var e,r,n,i,s,l,u=this.xData=this.pickXData=t.x,c=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++)i=n[2*l],s=n[2*l+1],i<d[0]&&(d[0]=i),i>d[2]&&(d[2]=i),s<d[1]&&(d[1]=s),s>d[3]&&(d[3]=s);if(p)r=p;else for(r=new Int32Array(e),l=0;l<e;l++)r[l]=l}else for(e=u.length,n=new Float32Array(2*e),r=new 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a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(m,r,i),s.click(t,{target:!0})}}})}},83248:function(t,e,r){\"use strict\";var n=r(49812),i=r(67756).Gz,a=r(33428),o=r(26800),s=r(48932),l=r(11820),u=r(49760),c=r(76308),f=r(43616),h=r(3400),p=h.strTranslate,d=h.strRotate,v=r(71688),g=v.keyFun,y=v.repeat,m=v.unwrap,x=r(72736),b=r(24040),_=r(84284),w=_.CAP_SHIFT,T=_.LINE_SPACING;function k(t,e,r){var n,i=m(e),a=i.trace,c=a.domain,f=\"h\"===a.orientation,p=a.node.pad,d=a.node.thickness,v={justify:o.sankeyJustify,left:o.sankeyLeft,right:o.sankeyRight,center:o.sankeyCenter}[a.node.align],g=t.width*(c.x[1]-c.x[0]),y=t.height*(c.y[1]-c.y[0]),x=i._nodes,b=i._links,_=i.circular;(n=_?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[g,y]:[y,g]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodeAlign(v).nodes(x).links(b);var w,T,k,A=n();for(var M in n.nodePadding()<p&&h.warn(\"node.pad was reduced to 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l=0;for(T=0;T<r.sourceLinks.length;T++)l+=r.sourceLinks[T].value;for(T=0;T<r.sourceLinks.length;T++)(e=r.sourceLinks[T]).concentrationOut=e.value/l;var c=0;for(T=0;T<r.targetLinks.length;T++)c+=r.targetLinks[T].value;for(T=0;T<r.targetLinks.length;T++)(e=r.targetLinks[T]).concenrationIn=e.value/c}}(),a.node.x.length&&a.node.y.length){for(w=0;w<Math.min(a.node.x.length,a.node.y.length,A.nodes.length);w++)if(a.node.x[w]&&a.node.y[w]){var C=[a.node.x[w]*g,a.node.y[w]*y];A.nodes[w].x0=C[0]-d/2,A.nodes[w].x1=C[0]+d/2;var P=A.nodes[w].y1-A.nodes[w].y0;A.nodes[w].y0=C[1]-P/2,A.nodes[w].y1=C[1]+P/2}\"snap\"===a.arrangement&&function(t){var e,r,n=t.map((function(t,e){return{x0:t.x0,index:e}})).sort((function(t,e){return t.x0-e.x0})),i=[],a=-1,o=-1/0;for(w=0;w<n.length;w++){var s=t[n[w].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(x=A.nodes).forEach((function(t){var e,r,n,i=0,a=t.length;for(t.sort((function(t,e){return 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e.trace=t.trace,e.curveNumber=t.trace.index,{circular:t.circular,key:a,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.getAlpha(),tinyColorHoverHue:c.tinyRGB(i),tinyColorHoverAlpha:i.getAlpha(),linkPath:M,linkLineColor:t.linkLineColor,linkLineWidth:t.linkLineWidth,linkArrowLength:t.linkArrowLength,valueFormat:t.valueFormat,valueSuffix:t.valueSuffix,sankey:t.sankey,parent:t,interactionState:t.interactionState,flow:e.flow}}function M(){return function(t){var e=t.linkArrowLength;if(t.link.circular)return function(t,e){var r=t.width/2,n=t.circularPathData;return\"top\"===t.circularLinkType?\"M \"+(n.targetX-e)+\" \"+(n.targetY+r)+\" L\"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightSmallArcRadius+r)+\" 0 0 1 \"+(n.rightFullExtent-r-e)+\" \"+(n.targetY-n.rightSmallArcRadius)+\"L\"+(n.rightFullExtent-r-e)+\" \"+n.verticalRightInnerExtent+\"A\"+(n.rightLargeArcRadius+r)+\" \"+(n.rightLargeArcRadius+r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"L\"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftLargeArcRadius+r)+\" 0 0 1 \"+(n.leftFullExtent+r)+\" \"+n.verticalLeftInnerExtent+\"L\"+(n.leftFullExtent+r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 0 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY-n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent+r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent+r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 0 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\"+(n.sourceY+n.leftSmallArcRadius)+\"A\"+(n.leftLargeArcRadius+r)+\" \"+(n.leftSmallArcRadius+r)+\" 0 0 0 \"+n.leftInnerExtent+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY-r)+\"L\"+n.sourceX+\" \"+(n.sourceY+r)+\"L\"+n.leftInnerExtent+\" \"+(n.sourceY+r)+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftSmallArcRadius-r)+\" 0 0 1 \"+(n.leftFullExtent-r)+\" \"+(n.sourceY+n.leftSmallArcRadius)+\"L\"+(n.leftFullExtent-r)+\" \"+n.verticalLeftInnerExtent+\"A\"+(n.leftLargeArcRadius-r)+\" \"+(n.leftLargeArcRadius-r)+\" 0 0 1 \"+n.leftInnerExtent+\" \"+(n.verticalFullExtent-r)+\"L\"+(n.rightInnerExtent-e)+\" \"+(n.verticalFullExtent-r)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightLargeArcRadius-r)+\" 0 0 1 \"+(n.rightFullExtent+r-e)+\" \"+n.verticalRightInnerExtent+\"L\"+(n.rightFullExtent+r-e)+\" \"+(n.targetY+n.rightSmallArcRadius)+\"A\"+(n.rightLargeArcRadius-r)+\" \"+(n.rightSmallArcRadius-r)+\" 0 0 1 \"+(n.rightInnerExtent-e)+\" \"+(n.targetY+r)+\"L\"+(n.targetX-e)+\" \"+(n.targetY+r)+(e>0?\"L\"+n.targetX+\" \"+n.targetY:\"\")+\"Z\"}(t.link,e);var r=Math.abs((t.link.target.x0-t.link.source.x1)/2);e>r&&(e=r);var n=t.link.source.x1,a=t.link.target.x0-e,o=i(n,a),s=o(.5),l=o(.5),u=t.link.y0-t.link.width/2,c=t.link.y0+t.link.width/2,f=t.link.y1-t.link.width/2,h=t.link.y1+t.link.width/2,p=\"M\"+n+\",\"+u,d=\"C\"+s+\",\"+u+\" \"+l+\",\"+f+\" \"+a+\",\"+f,v=\"C\"+l+\",\"+h+\" \"+s+\",\"+c+\" \"+n+\",\"+c,g=e>0?\"L\"+(a+e)+\",\"+(f+t.link.width/2):\"\";return p+d+(g+=\"L\"+a+\",\"+h)+v+\"Z\"}}function S(t,e){var r=u(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:c.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 O(t){return t.link.width>1||t.linkLineWidth>0}function I(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 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a=(t.graph.nodes[i].x0+t.graph.nodes[i].x1)/2,o=(t.graph.nodes[i].y0+t.graph.nodes[i].y1)/2;r.push(a/t.figure.width),n.push(o/t.figure.height)}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}}t.exports=function(t,e,r,n,i){var o=t._context.staticPlot,s=!1;h.ensureSingle(t._fullLayout._infolayer,\"g\",\"first-render\",(function(){s=!0}));var v=t._fullLayout._dragCover,b=r.filter((function(t){return m(t).trace.visible})).map(k.bind(null,n)),_=e.selectAll(\".\"+l.cn.sankey).data(b,g);_.exit().remove(),_.enter().append(\"g\").classed(l.cn.sankey,!0).style(\"box-sizing\",\"content-box\").style(\"position\",\"absolute\").style(\"left\",0).style(\"shape-rendering\",\"geometricPrecision\").style(\"pointer-events\",o?\"none\":\"auto\").attr(\"transform\",I),_.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\",o?\"none\":\"all\").attr(\"width\",e.width).attr(\"height\",e.height).attr(\"x\",e.translateX).attr(\"y\",e.translateY).classed(\"bgsankey\",!0).style({fill:\"transparent\",\"stroke-width\":0})})),_.transition().ease(l.ease).duration(l.duration).attr(\"transform\",I);var L=_.selectAll(\".\"+l.cn.sankeyLinks).data(y,g);L.enter().append(\"g\").classed(l.cn.sankeyLinks,!0).style(\"fill\",\"none\");var 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n=r(21776).Ks,i=r(21776).Gw,a=r(98304),o=r(52904),s=r(45464),l=r(49084),u=r(98192).u,c=r(92880).extendFlat,f=r(67824).overrideAll,h=o.marker,p=o.line,d=h.line;t.exports=f({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,i,a=r.length,o=a/2;if(h.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var u=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){u=!0;break}var c=u||n.length>v.TOO_MANY_POINTS||h.hasMarkers(e)?\"rect\":\"round\";if(u&&e.connectgaps){var f=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=f,n[i+1]=p):(f=n[i],p=n[i+1])}return{join:c,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=c.getFromId(t,e.xaxis,\"x\"),u=c.getFromId(t,e.yaxis,\"y\"),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),u={x:0,y:1}[a],c={x:[0,1,2,3],y:[2,3,0,1]}[a],p=new Float64Array(4*f),d=1/0,v=-1/0,g=0,y=0;g<f;g++,y+=4){var m=t[g];if(n(m)){var x=r[2*g+u],b=l(m,g),_=b[0],w=b[1];if(n(_)&&n(w)){var T=m-_,k=m+w;p[y+c[0]]=x-i.c2l(T),p[y+c[1]]=i.c2l(k)-x,p[y+c[2]]=0,p[y+c[3]]=0,d=Math.min(d,m-_),v=Math.max(v,m+w)}}}h[a]={positions:r,errors:p,_bnds:[d,v]}}}return p(i,l),p(a,u),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(h.hasMarkers(e)){var s=r.font,u=r.align,c=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var f=n.sizes?n.sizes[i]:n.size,p=l(s)?s[i].size:s.size,d=l(u)?u.length>1?u[i]:u[0]:u,v=l(c)?c.length>1?c[i]:c[0]:c,g=y[d],m=y[v],x=f?f/.8+1:0,b=-m*x-.5*m;o.offset[i]=[g*x/p,b/p]}}return o}}},80220:function(t,e,r){\"use strict\";var n=r(3400),i=r(24040),a=r(80088),o=r(2876),s=r(88200),l=r(43028),u=r(43980),c=r(31147),f=r(74428),h=r(66828),p=r(70840),d=r(124);t.exports=function(t,e,r,v){function g(r,i){return n.coerce(t,e,o,r,i)}var y=!!t.marker&&a.isOpenSymbol(t.marker.symbol),m=l.isBubble(t),x=u(t,e,v,g);if(x){c(t,e,v,g),g(\"xhoverformat\"),g(\"yhoverformat\");var b=x<s.PTS_LINESONLY?\"lines+markers\":\"lines\";g(\"text\"),g(\"hovertext\"),g(\"hovertemplate\"),g(\"mode\",b),l.hasMarkers(e)&&(f(t,e,r,v,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||m?1:0)),l.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,v,g),g(\"line.shape\")),l.hasText(e)&&(g(\"texttemplate\"),d(t,e,v,g));var _=(e.line||{}).color,w=(e.marker||{}).color;g(\"fill\"),\"none\"!==e.fill&&p(t,e,r,g);var T=i.getComponentMethod(\"errorbars\",\"supplyDefaults\");T(t,e,_||w||r,{axis:\"y\"}),T(t,e,_||w||r,{axis:\"x\",inherit:\"y\"}),n.coerceSelectionMarkerOpacity(e,g)}else e.visible=!1}},26768:function(t,e,r){\"use strict\";var n=r(3400),i=r(76308),a=r(13448).DESELECTDIM;t.exports={styleTextSelection:function(t){var e,r,o=t[0],s=o.trace,l=o.t,u=l._scene,c=l.index,f=u.selectBatch[c],h=u.unselectBatch[c],p=u.textOptions[c],d=u.textSelectedOptions[c]||{},v=u.textUnselectedOptions[c]||{},g=n.extendFlat({},p);if(f.length||h.length){var y=d.color,m=v.color,x=p.color,b=n.isArrayOrTypedArray(x);for(g.color=new Array(s._length),e=0;e<f.length;e++)r=f[e],g.color[r]=y||(b?x[r]:x);for(e=0;e<h.length;e++){r=h[e];var _=b?x[r]:x;g.color[r]=m||(y?_:i.addOpacity(_,a))}}u.glText[c].update(g)}}},99396:function(t,e,r){\"use strict\";var n=r(76688);t.exports=function(t,e,r){var i=t.i;return\"x\"in t||(t.x=e._x[i]),\"y\"in t||(t.y=e._y[i]),n(t,e,r)}},80088:function(t,e,r){\"use strict\";var n=r(67072);e.isOpenSymbol=function(t){return\"string\"==typeof t?n.OPEN_RE.test(t):t%200>100},e.isDotSymbol=function(t){return\"string\"==typeof t?n.DOT_RE.test(t):t>200}},41272:function(t,e,r){\"use strict\";var n=r(24040),i=r(3400),a=r(44928);function o(t,e,r,o){var s=t.xa,l=t.ya,u=t.distance,c=t.dxy,f=t.index,h={pointNumber:f,x:e[f],y:r[f]};h.tx=i.isArrayOrTypedArray(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=i.isArrayOrTypedArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family,h.tw=Array.isArray(p.weight)?p.weight[f]:p.weight,h.ty=Array.isArray(p.style)?p.style[f]:p.style,h.tv=Array.isArray(p.variant)?p.variant[f]:p.variant);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.ma=i.isArrayOrTypedArray(d.angle)?d.angle[f]:d.angle,h.mc=i.isArrayOrTypedArray(d.color)?d.color[f]:d.color);var v=d&&d.line;v&&(h.mlc=Array.isArray(v.color)?v.color[f]:v.color,h.mlw=i.isArrayOrTypedArray(v.width)?v.width[f]:v.width);var g=d&&d.gradient;g&&\"none\"!==g.type&&(h.mgt=Array.isArray(g.type)?g.type[f]:g.type,h.mgc=Array.isArray(g.color)?g.color[f]:g.color);var y=s.c2p(h.x,!0),m=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:y-x,x1:y+x,xLabelVal:k?k[f]:h.x,y0:m-x,y1:m+x,yLabelVal:A?A[f]:h.y,cd:T,distance:u,spikeDistance:c,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}t.exports={hoverPoints:function(t,e,r,n){var i,a,s,l,u,c,f,h,p,d,v=t.cd,g=v[0].t,y=v[0].trace,m=t.xa,x=t.ya,b=g.x,_=g.y,w=m.c2p(e),T=x.c2p(r),k=t.distance;if(g.tree){var A=m.p2c(w-k),M=m.p2c(w+k),S=x.p2c(T-k),E=x.p2c(T+k);i=\"x\"===n?g.tree.range(Math.min(A,M),Math.min(x._rl[0],x._rl[1]),Math.max(A,M),Math.max(x._rl[0],x._rl[1])):g.tree.range(Math.min(A,M),Math.min(S,E),Math.max(A,M),Math.max(S,E))}else i=g.ids;var L=k;if(\"x\"===n){var C=!!y.xperiodalignment,P=!!y.yperiodalignment;for(c=0;c<i.length;c++){if(l=b[a=i[c]],f=Math.abs(m.c2p(l)-w),C){var O=m.c2p(y._xStarts[a]),I=m.c2p(y._xEnds[a]);f=w>=Math.min(O,I)&&w<=Math.max(O,I)?0:1/0}if(f<L){if(L=f,u=_[a],h=x.c2p(u)-T,P){var z=x.c2p(y._yStarts[a]),D=x.c2p(y._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[c]}}}else for(c=i.length-1;c>-1;c--)l=b[a=i[c]],u=_[a],f=m.c2p(l)-w,h=x.c2p(u)-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,_,y)]},calcHover:o}},38983:function(t,e,r){\"use strict\";var n=r(64628);n.plot=r(89876),t.exports=n},89876:function(t,e,r){\"use strict\";var n=r(38540),i=r(13472),a=r(24544),o=r(23352),s=r(3400),l=r(72760).selectMode,u=r(5048),c=r(43028),f=r(14328),h=r(26768).styleTextSelection,p={};function d(t,e,r,n){var i=t._size,a=t.width*n,o=t.height*n,s=i.l*n,l=i.b*n,u=i.r*n,c=i.t*n,f=i.w*n,h=i.h*n;return[s+e.domain[0]*f,l+r.domain[0]*h,a-u-(1-e.domain[1])*f,o-c-(1-r.domain[1])*h]}(t.exports=function(t,e,r){if(r.length){var v,g,y=t._fullLayout,m=e._scene,x=e.xaxis,b=e.yaxis;if(m)if(u(t,[\"ANGLE_instanced_arrays\",\"OES_element_index_uint\"],p)){var _=m.count,w=y._glcanvas.data()[0].regl;if(f(t,e,r),m.dirty){if(!m.line2d&&!m.error2d||m.scatter2d||m.fill2d||m.glText||w.clear({}),!0===m.error2d&&(m.error2d=a(w)),!0===m.line2d&&(m.line2d=i(w)),!0===m.scatter2d&&(m.scatter2d=n(w)),!0===m.fill2d&&(m.fill2d=i(w)),!0===m.glText)for(m.glText=new Array(_),v=0;v<_;v++)m.glText[v]=new o(w);if(m.glText){if(_>m.glText.length){var T=_-m.glText.length;for(v=0;v<T;v++)m.glText.push(new o(w))}else if(_<m.glText.length){var k=m.glText.length-_;m.glText.splice(_,k).forEach((function(t){t.destroy()}))}for(v=0;v<_;v++)m.glText[v].update(m.textOptions[v])}if(m.line2d&&(m.line2d.update(m.lineOptions),m.lineOptions=m.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})),m.line2d.update(m.lineOptions)),m.error2d){var A=(m.errorXOptions||[]).concat(m.errorYOptions||[]);m.error2d.update(A)}m.scatter2d&&m.scatter2d.update(m.markerOptions),m.fillOrder=s.repeat(null,_),m.fill2d&&(m.fillOptions=m.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,u=m.lineOptions[e],c=[];s._ownfill&&c.push(e),s._nexttrace&&c.push(e+1),c.length&&(m.fillOrder[e]=c);var f,h,p=[],d=u&&u.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 v=s._nexttrace;if(v){var g=m.lineOptions[e+1];if(g){var y=g.positions;if(\"tonexty\"===s.fill){for(p=d.slice(),e=Math.floor(y.length/2);e--;){var x=y[2*e],b=y[2*e+1];isNaN(x)||isNaN(b)||p.push(x,b)}t.fill=v.fillcolor}}}}if(s._prevtrace&&\"tonext\"===s._prevtrace.fill){var _=m.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}})),m.fill2d.update(m.fillOptions))}var M=y.dragmode,S=l(M),E=y.clickmode.indexOf(\"select\")>-1;for(v=0;v<_;v++){var L=r[v][0],C=L.trace,P=L.t,O=P.index,I=C._length,z=P.x,D=P.y;if(C.selectedpoints||S||E){if(S||(S=!0),C.selectedpoints){var R=m.selectBatch[O]=s.selIndices2selPoints(C),F={};for(g=0;g<R.length;g++)F[R[g]]=1;var B=[];for(g=0;g<I;g++)F[g]||B.push(g);m.unselectBatch[O]=B}var N=P.xpx=new Array(I),j=P.ypx=new Array(I);for(g=0;g<I;g++)N[g]=x.c2p(z[g]),j[g]=b.c2p(D[g])}else P.xpx=P.ypx=null}if(S){if(m.select2d||(m.select2d=n(y._glcanvas.data()[1].regl)),m.scatter2d){var U=new Array(_);for(v=0;v<_;v++)U[v]=m.selectBatch[v].length||m.unselectBatch[v].length?m.markerUnselectedOptions[v]:{};m.scatter2d.update(U)}m.select2d&&(m.select2d.update(m.markerOptions),m.select2d.update(m.markerSelectedOptions)),m.glText&&r.forEach((function(t){var e=((t||[])[0]||{}).trace||{};c.hasText(e)&&h(t)}))}else m.scatter2d&&m.scatter2d.update(m.markerOptions);var V={viewport:d(y,x,b,t._context.plotGlPixelRatio),range:[(x._rl||x.range)[0],(b._rl||b.range)[0],(x._rl||x.range)[1],(b._rl||b.range)[1]]},q=s.repeat(V,m.count);m.fill2d&&m.fill2d.update(q),m.line2d&&m.line2d.update(q),m.error2d&&m.error2d.update(q.concat(q)),m.scatter2d&&m.scatter2d.update(q),m.select2d&&m.select2d.update(q),m.glText&&m.glText.forEach((function(t){t.update(V)}))}else m.init()}}).reglPrecompiled=p},74588:function(t,e,r){\"use strict\";var n=r(3400);t.exports=function(t,e){var r=e._scene,i={count:0,dirty:!0,lineOptions:[],fillOptions:[],markerOptions:[],markerSelectedOptions:[],markerUnselectedOptions:[],errorXOptions:[],errorYOptions:[],textOptions:[],textSelectedOptions:[],textUnselectedOptions:[],selectBatch:[],unselectBatch:[]},a={fill2d:!1,scatter2d:!1,error2d:!1,line2d:!1,glText:!1,select2d:!1};return e._scene||((r=e._scene={}).init=function(){n.extendFlat(r,a,i)},r.init(),r.update=function(t){var e=n.repeat(t,r.count);if(r.fill2d&&r.fill2d.update(e),r.scatter2d&&r.scatter2d.update(e),r.line2d&&r.line2d.update(e),r.error2d&&r.error2d.update(e.concat(e)),r.select2d&&r.select2d.update(e),r.glText)for(var i=0;i<r.count;i++)r.glText[i].update(t)},r.draw=function(){for(var t=r.count,e=r.fill2d,i=r.error2d,a=r.line2d,o=r.scatter2d,s=r.glText,l=r.select2d,u=r.selectBatch,c=r.unselectBatch,f=0;f<t;f++){if(e&&r.fillOrder[f]&&e.draw(r.fillOrder[f]),a&&r.lineOptions[f]&&a.draw(f),i&&(r.errorXOptions[f]&&i.draw(f),r.errorYOptions[f]&&i.draw(f+t)),o&&r.markerOptions[f])if(c[f].length){var h=n.repeat([],r.count);h[f]=c[f],o.draw(h)}else 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n=r(49084),i=r(29736).axisHoverFormat,a=r(21776).Ks,o=r(52948),s=r(45464),l=r(92880).extendFlat,u={x:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},y:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},z:{valType:\"data_array\",editType:\"calc+clearAxisTypes\"},u:{valType:\"data_array\",editType:\"calc\"},v:{valType:\"data_array\",editType:\"calc\"},w:{valType:\"data_array\",editType:\"calc\"},starts:{x:{valType:\"data_array\",editType:\"calc\"},y:{valType:\"data_array\",editType:\"calc\"},z:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"},maxdisplayed:{valType:\"integer\",min:0,dflt:1e3,editType:\"calc\"},sizeref:{valType:\"number\",editType:\"calc\",min:0,dflt:1},text:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertext:{valType:\"string\",dflt:\"\",editType:\"calc\"},hovertemplate:a({editType:\"calc\"},{keys:[\"tubex\",\"tubey\",\"tubez\",\"tubeu\",\"tubev\",\"tubew\",\"norm\",\"divergence\"]}),uhoverformat:i(\"u\",1),vhoverformat:i(\"v\",1),whoverformat:i(\"w\",1),xhoverformat:i(\"x\"),yhoverformat:i(\"y\"),zhoverformat:i(\"z\"),showlegend:l({},s.showlegend,{dflt:!1})};l(u,n(\"\",{colorAttr:\"u/v/w 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L=function(){m=0,M=[],S=[],E=[]};(!m||m<M.length*S.length*E.length)&&L();var C=function(t){return\"x\"===t?v:\"y\"===t?g:y},P=function(t){return\"x\"===t?M:\"y\"===t?S:E},O=function(t){return t[m-1]<t[0]?-1:1},I=C(A[1]),z=C(A[3]),D=C(A[5]),R=P(A[1]).length,F=P(A[3]).length,B=P(A[5]).length,N=!1,j=function(t,e,r){return R*(F*t+e)+r},U=O(C(A[1])),V=O(C(A[3])),q=O(C(A[5]));for(e=0;e<B-1;e++){for(r=0;r<F-1;r++){for(i=0;i<R-1;i++){var H=j(e,r,i),G=j(e,r,i+1),W=j(e,r+1,i),Y=j(e+1,r,i);if(I[H]*U<I[G]*U&&z[H]*V<z[W]*V&&D[H]*q<D[Y]*q||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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y=n[c];r.xMax=Math.max(r.xMax,y),r.xMin=Math.min(r.xMin,y);var m=o[c];r.yMax=Math.max(r.yMax,m),r.yMin=Math.min(r.yMin,m);var x=l[c];r.zMax=Math.max(r.zMax,x),r.zMin=Math.min(r.zMin,x)}e._slen=u,e._normMax=f,e._xbnds=[r.xMin,r.xMax],e._ybnds=[r.yMin,r.yMax],e._zbnds=[r.zMin,r.zMax]},filter:s,processGrid:a}},25668:function(t,e,r){\"use strict\";var n=r(67792).gl_streamtube3d,i=n.createTubeMesh,a=r(3400),o=r(33040).parseColorScale,s=r(8932).extractOpts,l=r(52094),u={xaxis:0,yaxis:1,zaxis:2};function c(t,e){this.scene=t,this.uid=e,this.mesh=null,this.data=null}var f=c.prototype;function h(t){var e=t.length;return e>2?t.slice(1,e-1):2===e?[(t[0]+t[1])/2]:t}function p(t){var e=t.length;return 1===e?[.5,.5]:[t[1]-t[0],t[e-1]-t[e-2]]}function d(t,e){var r=t.fullSceneLayout,i=t.dataScale,c=e._len,f={};function d(t,e){var n=r[e],o=i[u[e]];return a.simpleMap(t,(function(t){return 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n=r(45464),i=r(21776).Ks,a=r(21776).Gw,o=r(49084),s=r(86968).u,l=r(74996),u=r(27328),c=r(92880).extendFlat,f=r(98192).c;t.exports={labels:{valType:\"data_array\",editType:\"calc\"},parents:{valType:\"data_array\",editType:\"calc\"},values:{valType:\"data_array\",editType:\"calc\"},branchvalues:{valType:\"enumerated\",values:[\"remainder\",\"total\"],dflt:\"remainder\",editType:\"calc\"},count:{valType:\"flaglist\",flags:[\"branches\",\"leaves\"],dflt:\"leaves\",editType:\"calc\"},level:{valType:\"any\",editType:\"plot\",anim:!0},maxdepth:{valType:\"integer\",editType:\"plot\",dflt:-1},marker:c({colors:{valType:\"data_array\",editType:\"calc\"},line:{color:c({},l.marker.line.color,{dflt:null}),width:c({},l.marker.line.width,{dflt:1}),editType:\"calc\"},pattern:f,editType:\"calc\"},o(\"marker\",{colorAttr:\"colors\",anim:!1})),leaf:{opacity:{valType:\"number\",editType:\"style\",min:0,max:1},editType:\"plot\"},text:l.text,textinfo:{valType:\"flaglist\",flags:[\"label\",\"text\",\"value\",\"current 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u=n.select(this),f=s.ensureSingle(u,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",h?\"none\":\"all\")}));i.rpx0=H(i.y0),i.rpx1=H(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),_?f.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(Z){var i=(t.x1>Z?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,$(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return W(e(t))}})):f.attr(\"d\",W),u.call(m,S,t,r,{eventDataKeys:x.eventDataKeys,transitionTime:x.CLICK_TRANSITION_TIME,transitionEasing:x.CLICK_TRANSITION_EASING}).call(b.setSliceCursor,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:t._transitioning}),f.call(g,i,A,t);var p=s.ensureSingle(u,\"g\",\"slicetext\"),w=s.ensureSingle(p,\"text\",\"\",(function(t){t.attr(\"data-notex\",1)})),T=s.ensureUniformFontSize(t,b.determineTextFont(A,i,y.font));w.text(e.formatSliceLabel(i,S,A,r,y)).classed(\"slicetext\",!0).attr(\"text-anchor\",\"middle\").call(o.font,T).call(l.convertToTspans,t);var M=o.bBox(w.node());i.transform=v(M,i,k),i.transform.targetX=Y(i),i.transform.targetY=X(i);var E=function(t,e){var r=t.transform;return d(r,e),r.fontSize=T.size,c(A.type,r,y),s.getTextTransform(r)};_?w.transition().attrTween(\"transform\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n=t.transform;if(r)e=r;else if(e={rpx1:t.rpx1,transform:{textPosAngle:n.textPosAngle,scale:0,rotate:n.rotate,rCenter:n.rCenter,x:n.x,y:n.y}},R)if(t.parent)if(Z){var i=t.x1>Z?2*Math.PI:0;e.x0=e.x1=i}else s.extendFlat(e,$(t));else e.x0=e.x1=V;else e.x0=e.x1=V;var o=a(e.transform.textPosAngle,t.transform.textPosAngle),l=a(e.rpx1,t.rpx1),u=a(e.x0,t.x0),f=a(e.x1,t.x1),h=a(e.transform.scale,n.scale),p=a(e.transform.rotate,n.rotate),d=0===n.rCenter?3:0===e.transform.rCenter?1/3:1,v=a(e.transform.rCenter,n.rCenter);return function(t){var e=l(t),r=u(t),i=f(t),a=function(t){return v(Math.pow(t,d))}(t),s={pxmid:G(e,(r+i)/2),rpx1:e,transform:{textPosAngle:o(t),rCenter:a,x:n.x,y:n.y}};return c(A.type,n,y),{transform:{targetX:Y(s),targetY:X(s),scale:h(t),rotate:p(t),rCenter:a}}}}(t);return function(t){return E(e(t),M)}})):w.attr(\"transform\",E(i,M))}))}function w(t){return e=t.rpx1,r=t.transform.textPosAngle,[e*Math.sin(r),-e*Math.cos(r)];var e,r}e.plot=function(t,e,r,i){var a,o,s=t._fullLayout,l=s._sunburstlayer,u=!r,c=!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(),c?(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&&y(t,s._sunburstlayer.selectAll(\".trace\"),\"sunburst\")),u&&a.exit().remove()},e.formatSliceLabel=function(t,e,r,n,i){var a=r.texttemplate,o=r.textinfo;if(!(a||o&&\"none\"!==o))return\"\";var l=i.separators,u=n[0],c=t.data.data,f=u.hierarchy,h=b.isHierarchyRoot(t),p=b.getParent(f,t),d=b.getValue(t);if(!a){var v,g=o.split(\"+\"),y=function(t){return-1!==g.indexOf(t)},m=[];if(y(\"label\")&&c.label&&m.push(c.label),c.hasOwnProperty(\"v\")&&y(\"value\")&&m.push(b.formatValue(c.v,l)),!h){y(\"current path\")&&m.push(b.getPath(t.data));var x=0;y(\"percent parent\")&&x++,y(\"percent entry\")&&x++,y(\"percent root\")&&x++;var _=x>1;if(x){var w,T=function(t){v=b.formatPercent(w,l),_&&(v+=\" of \"+t),m.push(v)};y(\"percent parent\")&&!h&&(w=d/b.getValue(p),T(\"parent\")),y(\"percent entry\")&&(w=d/b.getValue(e),T(\"entry\")),y(\"percent root\")&&(w=d/b.getValue(f),T(\"root\"))}}return y(\"text\")&&(v=s.castOption(r,c.i,\"text\"),s.isValidTextValue(v)&&m.push(v)),m.join(\"<br>\")}var k=s.castOption(r,c.i,\"texttemplate\");if(!k)return\"\";var A={};c.label&&(A.label=c.label),c.hasOwnProperty(\"v\")&&(A.value=c.v,A.valueLabel=b.formatValue(c.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),c.hasOwnProperty(\"color\")&&(A.color=c.color);var M=s.castOption(r,c.i,\"text\");return(s.isValidTextValue(M)||\"\"===M)&&(A.text=M),A.customdata=s.castOption(r,c.i,\"customdata\"),s.texttemplateString(k,A,i._d3locale,A,r._meta||{})}},85676:function(t,e,r){\"use strict\";var n=r(33428),i=r(76308),a=r(3400),o=r(82744).resizeText,s=r(60404);function l(t,e,r,n){var o=e.data.data,l=!e.children,u=o.i,c=a.castOption(r,u,\"marker.line.color\")||i.defaultLine,f=a.castOption(r,u,\"marker.line.width\")||0;t.call(s,e,r,n).style(\"stroke-width\",f).call(i.stroke,c).style(\"opacity\",l?r.leaf.opacity:null)}t.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(e){var r=n.select(this),i=e[0].trace;r.style(\"opacity\",i.opacity),r.selectAll(\"path.surface\").each((function(e){n.select(this).call(l,e,i,t)}))}))},styleOne:l}},16716:function(t,e,r){\"use strict\";var n=r(76308),i=r(49084),a=r(29736).axisHoverFormat,o=r(21776).Ks,s=r(45464),l=r(92880).extendFlat,u=r(67824).overrideAll;function c(t){return{show:{valType:\"boolean\",dflt:!1},start:{valType:\"number\",dflt:null,editType:\"plot\"},end:{valType:\"number\",dflt:null,editType:\"plot\"},size:{valType:\"number\",dflt:null,min:0,editType:\"plot\"},project:{x:{valType:\"boolean\",dflt:!1},y:{valType:\"boolean\",dflt:!1},z:{valType:\"boolean\",dflt:!1}},color:{valType:\"color\",dflt:n.defaultLine},usecolormap:{valType:\"boolean\",dflt:!1},width:{valType:\"number\",min:1,max:16,dflt:2},highlight:{valType:\"boolean\",dflt:!0},highlightcolor:{valType:\"color\",dflt:n.defaultLine},highlightwidth:{valType:\"number\",min:1,max:16,dflt:2}}}var f=t.exports=u(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:c(),y:c(),z:c()},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},56576:function(t,e,r){\"use strict\";var n=r(47128);t.exports=function(t,e){e.surfacecolor?n(t,e,{vals:e.surfacecolor,containerStr:\"\",cLetter:\"c\"}):n(t,e,{vals:e.z,containerStr:\"\",cLetter:\"c\"})}},79164:function(t,e,r){\"use strict\";var n=r(67792).gl_surface3d,i=r(67792).ndarray,a=r(67792).ndarray_linear_interpolate.d2,o=r(70448),s=r(11240),l=r(3400).isArrayOrTypedArray,u=r(33040).parseColorScale,c=r(43080),f=r(8932).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++){null!=t.dataCoordinate[a]&&(t.dataCoordinate[a]*=this.scene.dataScale[a])}var o=this.data.hovertext||this.data.text;return l(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function v(t,e){if(t<e)return 0;for(var r=0;0===Math.floor(t%e);)t/=e,r++;return r}function g(t){for(var e=[],r=0;r<d.length;r++){var n=d[r];e.push(v(t,n))}return e}function y(t){for(var e=g(t),r=t,n=0;n<d.length;n++)if(e[n]>0){r=d[n];break}return r}function m(t,e){if(!(t<1||e<1)){for(var r=g(t),n=g(e),i=1,a=0;a<d.length;a++)i*=Math.pow(d[a],Math.max(r[a],n[a]));return i}}p.calcXnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getXat(e-1,0),i=this.getXat(e,0);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r},p.calcYnums=function(t){var e,r=[];for(e=1;e<t;e++){var n=this.getYat(0,e-1),i=this.getYat(0,e);r[e-1]=i!==n&&null!=n&&null!=i?Math.abs(i-n):0}var a=0;for(e=1;e<t;e++)a+=r[e-1];for(e=1;e<t;e++)0===r[e-1]?r[e-1]=1:r[e-1]=Math.round(a/r[e-1]);return r};var x=[1,2,4,6,12,24,36,48,60,120,180,240,360,720,840,1260],b=x[9],_=x[13];function w(t,e,r){var n=r[8]+r[2]*e[0]+r[5]*e[1];return t[0]=(r[6]+r[0]*e[0]+r[3]*e[1])/n,t[1]=(r[7]+r[1]*e[0]+r[4]*e[1])/n,t}function T(t,e,r){return function(t,e,r,n){for(var i=[0,0],o=t.shape[0],s=t.shape[1],l=0;l<o;l++)for(var u=0;u<s;u++)r(i,[l,u],n),t.set(l,u,a(e,i[0],i[1]))}(t,e,w,r),t}function k(t,e){for(var r=!1,n=0;n<t.length;n++)if(e===t[n]){r=!0;break}!1===r&&t.push(e)}p.estimateScale=function(t,e){for(var r=1+function(t){if(0!==t.length){for(var e=1,r=0;r<t.length;r++)e=m(e,t[r]);return e}}(0===e?this.calcXnums(t):this.calcYnums(t));r<b;)r*=2;for(;r>_;)r--,r/=y(r),++r<b&&(r=_);var n=Math.round(r/t);return n>1?n:1},p.refineCoords=function(t){for(var e=this.dataScaleX,r=this.dataScaleY,n=t[0].shape[0],a=t[0].shape[1],o=0|Math.floor(t[0].shape[0]*e+1),s=0|Math.floor(t[0].shape[1]*r+1),l=1+n+1,u=1+a+1,c=i(new Float32Array(l*u),[l,u]),f=[1/e,0,0,0,1/r,0,0,0,1],h=0;h<t.length;++h){this.surface.padField(c,t[h]);var p=i(new Float32Array(o*s),[o,s]);T(p,c,f),t[h]=p}},p.setContourLevels=function(){var t,e,r,n=[[],[],[]],i=[!1,!1,!1],a=!1;for(t=0;t<3;++t)if(this.showContour[t]&&(a=!0,this.contourSize[t]>0&&null!==this.contourStart[t]&&null!==this.contourEnd[t]&&this.contourEnd[t]>this.contourStart[t]))for(i[t]=!0,e=this.contourStart[t];e<this.contourEnd[t];e+=this.contourSize[t])r=e*this.scene.dataScale[t],k(n[t],r);if(a){var o=[[],[],[]];for(t=0;t<3;++t)this.showContour[t]&&(o[t]=i[t]?n[t]:this.scene.contourLevels[t]);this.surface.update({levels:o})}},p.update=function(t){var e,r,n,a,l=this.scene,h=l.fullSceneLayout,p=this.surface,d=u(t),v=l.dataScale,g=t.z[0].length,y=t._ylength,m=l.contourLevels;this.data=t;var 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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]=m[e],p.highlightColor[e]=w.contourColor[e]=c(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]=c(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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m=\"contours.\"+y[c],x=h(m+\".show\"),b=h(m+\".highlight\");if(x||b)for(f=0;f<3;++f)h(m+\".project.\"+y[f]);x&&(h(m+\".color\"),h(m+\".width\"),h(m+\".usecolormap\")),b&&(h(m+\".highlightcolor\"),h(m+\".highlightwidth\")),h(m+\".start\"),h(m+\".end\"),h(m+\".size\")}g||(l(t,\"zmin\",\"cmin\"),l(t,\"zmax\",\"cmax\"),l(t,\"zauto\",\"cauto\")),a(t,e,u,h,{prefix:\"\",cLetter:\"c\"}),s(0,e,0,h),e._length=null}},opacityscaleDefaults:s}},91304:function(t,e,r){\"use strict\";t.exports={attributes:r(16716),supplyDefaults:r(60192).supplyDefaults,colorbar:{min:\"cmin\",max:\"cmax\"},calc:r(56576),plot:r(79164),moduleType:\"trace\",name:\"surface\",basePlotModule:r(12536),categories:[\"gl3d\",\"2dMap\",\"showLegend\"],meta:{}}},60520:function(t,e,r){\"use strict\";var n=r(13916),i=r(92880).extendFlat,a=r(67824).overrideAll,o=r(25376),s=r(86968).u,l=r(29736).descriptionOnlyNumbers;(t.exports=a({domain:s({name:\"table\",trace:!0}),columnwidth:{valType:\"number\",arrayOk:!0,dflt:null},columnorder:{valType:\"data_array\"},header:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell value\")},prefix:{valType:\"string\",arrayOk:!0,dflt:null},suffix:{valType:\"string\",arrayOk:!0,dflt:null},height:{valType:\"number\",dflt:28},align:i({},n.align,{arrayOk:!0}),line:{width:{valType:\"number\",arrayOk:!0,dflt:1},color:{valType:\"color\",arrayOk:!0,dflt:\"grey\"}},fill:{color:{valType:\"color\",arrayOk:!0,dflt:\"white\"}},font:i({},o({arrayOk:!0}))},cells:{values:{valType:\"data_array\",dflt:[]},format:{valType:\"data_array\",dflt:[],description:l(\"cell 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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\"}}},55992:function(t,e,r){\"use strict\";var n=r(23536),i=r(92880).extendFlat,a=r(38248),o=r(38116).isTypedArray,s=r(38116).isArrayOrTypedArray;function l(t){if(s(t)){for(var e=0,r=0;r<t.length;r++)e=Math.max(e,l(t[r]));return e}return t}function u(t,e){return t+e}function c(t){var e,r=t.slice(),n=1/0,i=0;for(e=0;e<r.length;e++)o(r[e])?r[e]=Array.from(r[e]):s(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(f(a)))}return r}function f(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=\"\";return e}function h(t){return t.calcdata.columns.reduce((function(e,r){return r.xIndex<t.xIndex?e+r.columnWidth:e}),0)}function p(t,e){return Object.keys(t).map((function(r){return i({},t[r],{auxiliaryBlocks:e})}))}function d(t,e){for(var r,n={},i=0,a=0,o={firstRowIndex:null,lastRowIndex:null,rows:[]},s=0,l=0,u=0;u<t.length;u++)r=t[u],o.rows.push({rowIndex:u,rowHeight:r}),((a+=r)>=e||u===t.length-1)&&(n[i]=o,o.key=l++,o.firstRowIndex=s,o.lastRowIndex=u,o={firstRowIndex:null,lastRowIndex:null,rows:[]},i+=a,s=u+1,a=0);return n}t.exports=function(t,e){var r=c(e.cells.values),o=function(t){return 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32-Math.clz32(t)}:a.prototype._countBits=function(t){var e=t,r=0;return e>=4096&&(r+=13,e>>>=13),e>=64&&(r+=7,e>>>=7),e>=8&&(r+=4,e>>>=4),e>=2&&(r+=2,e>>>=2),r+e},a.prototype._zeroBits=function(t){if(0===t)return 26;var e=t,r=0;return 0==(8191&e)&&(r+=13,e>>>=13),0==(127&e)&&(r+=7,e>>>=7),0==(15&e)&&(r+=4,e>>>=4),0==(3&e)&&(r+=2,e>>>=2),0==(1&e)&&r++,r},a.prototype.bitLength=function(){var t=this.words[this.length-1],e=this._countBits(t);return 26*(this.length-1)+e},a.prototype.zeroBits=function(){if(this.isZero())return 0;for(var t=0,e=0;e<this.length;e++){var r=this._zeroBits(this.words[e]);if(t+=r,26!==r)break}return t},a.prototype.byteLength=function(){return Math.ceil(this.bitLength()/8)},a.prototype.toTwos=function(t){return 0!==this.negative?this.abs().inotn(t).iaddn(1):this.clone()},a.prototype.fromTwos=function(t){return this.testn(t-1)?this.notn(t).iaddn(1).ineg():this.clone()},a.prototype.isNeg=function(){return 0!==this.negative},a.prototype.neg=function(){return this.clone().ineg()},a.prototype.ineg=function(){return this.isZero()||(this.negative^=1),this},a.prototype.iuor=function(t){for(;this.length<t.length;)this.words[this.length++]=0;for(var e=0;e<t.length;e++)this.words[e]=this.words[e]|t.words[e];return this.strip()},a.prototype.ior=function(t){return n(0==(this.negative|t.negative)),this.iuor(t)},a.prototype.or=function(t){return this.length>t.length?this.clone().ior(t):t.clone().ior(this)},a.prototype.uor=function(t){return this.length>t.length?this.clone().iuor(t):t.clone().iuor(this)},a.prototype.iuand=function(t){var e;e=this.length>t.length?t:this;for(var r=0;r<e.length;r++)this.words[r]=this.words[r]&t.words[r];return this.length=e.length,this.strip()},a.prototype.iand=function(t){return n(0==(this.negative|t.negative)),this.iuand(t)},a.prototype.and=function(t){return this.length>t.length?this.clone().iand(t):t.clone().iand(this)},a.prototype.uand=function(t){return this.length>t.length?this.clone().iuand(t):t.clone().iuand(this)},a.prototype.iuxor=function(t){var e,r;this.length>t.length?(e=this,r=t):(e=t,r=this);for(var n=0;n<r.length;n++)this.words[n]=e.words[n]^r.words[n];if(this!==e)for(;n<e.length;n++)this.words[n]=e.words[n];return this.length=e.length,this.strip()},a.prototype.ixor=function(t){return n(0==(this.negative|t.negative)),this.iuxor(t)},a.prototype.xor=function(t){return this.length>t.length?this.clone().ixor(t):t.clone().ixor(this)},a.prototype.uxor=function(t){return this.length>t.length?this.clone().iuxor(t):t.clone().iuxor(this)},a.prototype.inotn=function(t){n(\"number\"==typeof t&&t>=0);var e=0|Math.ceil(t/26),r=t%26;this._expand(e),r>0&&e--;for(var i=0;i<e;i++)this.words[i]=67108863&~this.words[i];return r>0&&(this.words[i]=~this.words[i]&67108863>>26-r),this.strip()},a.prototype.notn=function(t){return this.clone().inotn(t)},a.prototype.setn=function(t,e){n(\"number\"==typeof t&&t>=0);var r=t/26|0,i=t%26;return this._expand(r+1),this.words[r]=e?this.words[r]|1<<i:this.words[r]&~(1<<i),this.strip()},a.prototype.iadd=function(t){var e,r,n;if(0!==this.negative&&0===t.negative)return this.negative=0,e=this.isub(t),this.negative^=1,this._normSign();if(0===this.negative&&0!==t.negative)return t.negative=0,e=this.isub(t),t.negative=1,e._normSign();this.length>t.length?(r=this,n=t):(r=t,n=this);for(var i=0,a=0;a<n.length;a++)e=(0|r.words[a])+(0|n.words[a])+i,this.words[a]=67108863&e,i=e>>>26;for(;0!==i&&a<r.length;a++)e=(0|r.words[a])+i,this.words[a]=67108863&e,i=e>>>26;if(this.length=r.length,0!==i)this.words[this.length]=i,this.length++;else if(r!==this)for(;a<r.length;a++)this.words[a]=r.words[a];return this},a.prototype.add=function(t){var e;return 0!==t.negative&&0===this.negative?(t.negative=0,e=this.sub(t),t.negative^=1,e):0===t.negative&&0!==this.negative?(this.negative=0,e=t.sub(this),this.negative=1,e):this.length>t.length?this.clone().iadd(t):t.clone().iadd(this)},a.prototype.isub=function(t){if(0!==t.negative){t.negative=0;var e=this.iadd(t);return t.negative=1,e._normSign()}if(0!==this.negative)return this.negative=0,this.iadd(t),this.negative=1,this._normSign();var r,n,i=this.cmp(t);if(0===i)return this.negative=0,this.length=1,this.words[0]=0,this;i>0?(r=this,n=t):(r=t,n=this);for(var a=0,o=0;o<n.length;o++)a=(e=(0|r.words[o])-(0|n.words[o])+a)>>26,this.words[o]=67108863&e;for(;0!==a&&o<r.length;o++)a=(e=(0|r.words[o])+a)>>26,this.words[o]=67108863&e;if(0===a&&o<r.length&&r!==this)for(;o<r.length;o++)this.words[o]=r.words[o];return this.length=Math.max(this.length,o),r!==this&&(this.negative=1),this.strip()},a.prototype.sub=function(t){return this.clone().isub(t)};var d=function(t,e,r){var n,i,a,o=t.words,s=e.words,l=r.words,u=0,c=0|o[0],f=8191&c,h=c>>>13,p=0|o[1],d=8191&p,v=p>>>13,g=0|o[2],y=8191&g,m=g>>>13,x=0|o[3],b=8191&x,_=x>>>13,w=0|o[4],T=8191&w,k=w>>>13,A=0|o[5],M=8191&A,S=A>>>13,E=0|o[6],L=8191&E,C=E>>>13,P=0|o[7],O=8191&P,I=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,q=0|s[1],H=8191&q,G=q>>>13,W=0|s[2],Y=8191&W,X=W>>>13,Z=0|s[3],K=8191&Z,J=Z>>>13,$=0|s[4],Q=8191&$,tt=$>>>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,ut=st>>>13,ct=0|s[8],ft=8191&ct,ht=ct>>>13,pt=0|s[9],dt=8191&pt,vt=pt>>>13;r.negative=t.negative^e.negative,r.length=19;var gt=(u+(n=Math.imul(f,U))|0)+((8191&(i=(i=Math.imul(f,V))+Math.imul(h,U)|0))<<13)|0;u=((a=Math.imul(h,V))+(i>>>13)|0)+(gt>>>26)|0,gt&=67108863,n=Math.imul(d,U),i=(i=Math.imul(d,V))+Math.imul(v,U)|0,a=Math.imul(v,V);var yt=(u+(n=n+Math.imul(f,H)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,H)|0))<<13)|0;u=((a=a+Math.imul(h,G)|0)+(i>>>13)|0)+(yt>>>26)|0,yt&=67108863,n=Math.imul(y,U),i=(i=Math.imul(y,V))+Math.imul(m,U)|0,a=Math.imul(m,V),n=n+Math.imul(d,H)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,H)|0,a=a+Math.imul(v,G)|0;var mt=(u+(n=n+Math.imul(f,Y)|0)|0)+((8191&(i=(i=i+Math.imul(f,X)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,X)|0)+(i>>>13)|0)+(mt>>>26)|0,mt&=67108863,n=Math.imul(b,U),i=(i=Math.imul(b,V))+Math.imul(_,U)|0,a=Math.imul(_,V),n=n+Math.imul(y,H)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,H)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,X)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,X)|0;var xt=(u+(n=n+Math.imul(f,K)|0)|0)+((8191&(i=(i=i+Math.imul(f,J)|0)+Math.imul(h,K)|0))<<13)|0;u=((a=a+Math.imul(h,J)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,H)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,H)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,X)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,X)|0,n=n+Math.imul(d,K)|0,i=(i=i+Math.imul(d,J)|0)+Math.imul(v,K)|0,a=a+Math.imul(v,J)|0;var bt=(u+(n=n+Math.imul(f,Q)|0)|0)+((8191&(i=(i=i+Math.imul(f,tt)|0)+Math.imul(h,Q)|0))<<13)|0;u=((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,H)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,H)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,X)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,X)|0,n=n+Math.imul(y,K)|0,i=(i=i+Math.imul(y,J)|0)+Math.imul(m,K)|0,a=a+Math.imul(m,J)|0,n=n+Math.imul(d,Q)|0,i=(i=i+Math.imul(d,tt)|0)+Math.imul(v,Q)|0,a=a+Math.imul(v,tt)|0;var _t=(u+(n=n+Math.imul(f,rt)|0)|0)+((8191&(i=(i=i+Math.imul(f,nt)|0)+Math.imul(h,rt)|0))<<13)|0;u=((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,H)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,H)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,X)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,X)|0,n=n+Math.imul(b,K)|0,i=(i=i+Math.imul(b,J)|0)+Math.imul(_,K)|0,a=a+Math.imul(_,J)|0,n=n+Math.imul(y,Q)|0,i=(i=i+Math.imul(y,tt)|0)+Math.imul(m,Q)|0,a=a+Math.imul(m,tt)|0,n=n+Math.imul(d,rt)|0,i=(i=i+Math.imul(d,nt)|0)+Math.imul(v,rt)|0,a=a+Math.imul(v,nt)|0;var wt=(u+(n=n+Math.imul(f,at)|0)|0)+((8191&(i=(i=i+Math.imul(f,ot)|0)+Math.imul(h,at)|0))<<13)|0;u=((a=a+Math.imul(h,ot)|0)+(i>>>13)|0)+(wt>>>26)|0,wt&=67108863,n=Math.imul(O,U),i=(i=Math.imul(O,V))+Math.imul(I,U)|0,a=Math.imul(I,V),n=n+Math.imul(L,H)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,H)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,X)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,X)|0,n=n+Math.imul(T,K)|0,i=(i=i+Math.imul(T,J)|0)+Math.imul(k,K)|0,a=a+Math.imul(k,J)|0,n=n+Math.imul(b,Q)|0,i=(i=i+Math.imul(b,tt)|0)+Math.imul(_,Q)|0,a=a+Math.imul(_,tt)|0,n=n+Math.imul(y,rt)|0,i=(i=i+Math.imul(y,nt)|0)+Math.imul(m,rt)|0,a=a+Math.imul(m,nt)|0,n=n+Math.imul(d,at)|0,i=(i=i+Math.imul(d,ot)|0)+Math.imul(v,at)|0,a=a+Math.imul(v,ot)|0;var Tt=(u+(n=n+Math.imul(f,lt)|0)|0)+((8191&(i=(i=i+Math.imul(f,ut)|0)+Math.imul(h,lt)|0))<<13)|0;u=((a=a+Math.imul(h,ut)|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(O,H)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,H)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,X)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,X)|0,n=n+Math.imul(M,K)|0,i=(i=i+Math.imul(M,J)|0)+Math.imul(S,K)|0,a=a+Math.imul(S,J)|0,n=n+Math.imul(T,Q)|0,i=(i=i+Math.imul(T,tt)|0)+Math.imul(k,Q)|0,a=a+Math.imul(k,tt)|0,n=n+Math.imul(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(y,at)|0,i=(i=i+Math.imul(y,ot)|0)+Math.imul(m,at)|0,a=a+Math.imul(m,ot)|0,n=n+Math.imul(d,lt)|0,i=(i=i+Math.imul(d,ut)|0)+Math.imul(v,lt)|0,a=a+Math.imul(v,ut)|0;var kt=(u+(n=n+Math.imul(f,ft)|0)|0)+((8191&(i=(i=i+Math.imul(f,ht)|0)+Math.imul(h,ft)|0))<<13)|0;u=((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,H)|0,i=(i=i+Math.imul(D,G)|0)+Math.imul(R,H)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,X)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,X)|0,n=n+Math.imul(L,K)|0,i=(i=i+Math.imul(L,J)|0)+Math.imul(C,K)|0,a=a+Math.imul(C,J)|0,n=n+Math.imul(M,Q)|0,i=(i=i+Math.imul(M,tt)|0)+Math.imul(S,Q)|0,a=a+Math.imul(S,tt)|0,n=n+Math.imul(T,rt)|0,i=(i=i+Math.imul(T,nt)|0)+Math.imul(k,rt)|0,a=a+Math.imul(k,nt)|0,n=n+Math.imul(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(y,lt)|0,i=(i=i+Math.imul(y,ut)|0)+Math.imul(m,lt)|0,a=a+Math.imul(m,ut)|0,n=n+Math.imul(d,ft)|0,i=(i=i+Math.imul(d,ht)|0)+Math.imul(v,ft)|0,a=a+Math.imul(v,ht)|0;var At=(u+(n=n+Math.imul(f,dt)|0)|0)+((8191&(i=(i=i+Math.imul(f,vt)|0)+Math.imul(h,dt)|0))<<13)|0;u=((a=a+Math.imul(h,vt)|0)+(i>>>13)|0)+(At>>>26)|0,At&=67108863,n=Math.imul(B,H),i=(i=Math.imul(B,G))+Math.imul(N,H)|0,a=Math.imul(N,G),n=n+Math.imul(D,Y)|0,i=(i=i+Math.imul(D,X)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,X)|0,n=n+Math.imul(O,K)|0,i=(i=i+Math.imul(O,J)|0)+Math.imul(I,K)|0,a=a+Math.imul(I,J)|0,n=n+Math.imul(L,Q)|0,i=(i=i+Math.imul(L,tt)|0)+Math.imul(C,Q)|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,ut)|0)+Math.imul(_,lt)|0,a=a+Math.imul(_,ut)|0,n=n+Math.imul(y,ft)|0,i=(i=i+Math.imul(y,ht)|0)+Math.imul(m,ft)|0,a=a+Math.imul(m,ht)|0;var Mt=(u+(n=n+Math.imul(d,dt)|0)|0)+((8191&(i=(i=i+Math.imul(d,vt)|0)+Math.imul(v,dt)|0))<<13)|0;u=((a=a+Math.imul(v,vt)|0)+(i>>>13)|0)+(Mt>>>26)|0,Mt&=67108863,n=Math.imul(B,Y),i=(i=Math.imul(B,X))+Math.imul(N,Y)|0,a=Math.imul(N,X),n=n+Math.imul(D,K)|0,i=(i=i+Math.imul(D,J)|0)+Math.imul(R,K)|0,a=a+Math.imul(R,J)|0,n=n+Math.imul(O,Q)|0,i=(i=i+Math.imul(O,tt)|0)+Math.imul(I,Q)|0,a=a+Math.imul(I,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,ut)|0)+Math.imul(k,lt)|0,a=a+Math.imul(k,ut)|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=(u+(n=n+Math.imul(y,dt)|0)|0)+((8191&(i=(i=i+Math.imul(y,vt)|0)+Math.imul(m,dt)|0))<<13)|0;u=((a=a+Math.imul(m,vt)|0)+(i>>>13)|0)+(St>>>26)|0,St&=67108863,n=Math.imul(B,K),i=(i=Math.imul(B,J))+Math.imul(N,K)|0,a=Math.imul(N,J),n=n+Math.imul(D,Q)|0,i=(i=i+Math.imul(D,tt)|0)+Math.imul(R,Q)|0,a=a+Math.imul(R,tt)|0,n=n+Math.imul(O,rt)|0,i=(i=i+Math.imul(O,nt)|0)+Math.imul(I,rt)|0,a=a+Math.imul(I,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,ut)|0)+Math.imul(S,lt)|0,a=a+Math.imul(S,ut)|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=(u+(n=n+Math.imul(b,dt)|0)|0)+((8191&(i=(i=i+Math.imul(b,vt)|0)+Math.imul(_,dt)|0))<<13)|0;u=((a=a+Math.imul(_,vt)|0)+(i>>>13)|0)+(Et>>>26)|0,Et&=67108863,n=Math.imul(B,Q),i=(i=Math.imul(B,tt))+Math.imul(N,Q)|0,a=Math.imul(N,tt),n=n+Math.imul(D,rt)|0,i=(i=i+Math.imul(D,nt)|0)+Math.imul(R,rt)|0,a=a+Math.imul(R,nt)|0,n=n+Math.imul(O,at)|0,i=(i=i+Math.imul(O,ot)|0)+Math.imul(I,at)|0,a=a+Math.imul(I,ot)|0,n=n+Math.imul(L,lt)|0,i=(i=i+Math.imul(L,ut)|0)+Math.imul(C,lt)|0,a=a+Math.imul(C,ut)|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=(u+(n=n+Math.imul(T,dt)|0)|0)+((8191&(i=(i=i+Math.imul(T,vt)|0)+Math.imul(k,dt)|0))<<13)|0;u=((a=a+Math.imul(k,vt)|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(O,lt)|0,i=(i=i+Math.imul(O,ut)|0)+Math.imul(I,lt)|0,a=a+Math.imul(I,ut)|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=(u+(n=n+Math.imul(M,dt)|0)|0)+((8191&(i=(i=i+Math.imul(M,vt)|0)+Math.imul(S,dt)|0))<<13)|0;u=((a=a+Math.imul(S,vt)|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,ut)|0)+Math.imul(R,lt)|0,a=a+Math.imul(R,ut)|0,n=n+Math.imul(O,ft)|0,i=(i=i+Math.imul(O,ht)|0)+Math.imul(I,ft)|0,a=a+Math.imul(I,ht)|0;var Pt=(u+(n=n+Math.imul(L,dt)|0)|0)+((8191&(i=(i=i+Math.imul(L,vt)|0)+Math.imul(C,dt)|0))<<13)|0;u=((a=a+Math.imul(C,vt)|0)+(i>>>13)|0)+(Pt>>>26)|0,Pt&=67108863,n=Math.imul(B,lt),i=(i=Math.imul(B,ut))+Math.imul(N,lt)|0,a=Math.imul(N,ut),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 Ot=(u+(n=n+Math.imul(O,dt)|0)|0)+((8191&(i=(i=i+Math.imul(O,vt)|0)+Math.imul(I,dt)|0))<<13)|0;u=((a=a+Math.imul(I,vt)|0)+(i>>>13)|0)+(Ot>>>26)|0,Ot&=67108863,n=Math.imul(B,ft),i=(i=Math.imul(B,ht))+Math.imul(N,ft)|0,a=Math.imul(N,ht);var It=(u+(n=n+Math.imul(D,dt)|0)|0)+((8191&(i=(i=i+Math.imul(D,vt)|0)+Math.imul(R,dt)|0))<<13)|0;u=((a=a+Math.imul(R,vt)|0)+(i>>>13)|0)+(It>>>26)|0,It&=67108863;var zt=(u+(n=Math.imul(B,dt))|0)+((8191&(i=(i=Math.imul(B,vt))+Math.imul(N,dt)|0))<<13)|0;return u=((a=Math.imul(N,vt))+(i>>>13)|0)+(zt>>>26)|0,zt&=67108863,l[0]=gt,l[1]=yt,l[2]=mt,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]=Ot,l[17]=It,l[18]=zt,0!==u&&(l[19]=u,r.length++),r};function v(t,e,r){return(new g).mulp(t,e,r)}function g(t,e){this.x=t,this.y=e}Math.imul||(d=p),a.prototype.mulTo=function(t,e){var r,n=this.length+t.length;return r=10===this.length&&10===t.length?d(this,t,e):n<63?p(this,t,e):n<1024?function(t,e,r){r.negative=e.negative^t.negative,r.length=t.length+e.length;for(var n=0,i=0,a=0;a<r.length-1;a++){var o=i;i=0;for(var s=67108863&n,l=Math.min(a,e.length-1),u=Math.max(0,a-t.length+1);u<=l;u++){var c=a-u,f=(0|t.words[c])*(0|e.words[u]),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):v(this,t,e),r},g.prototype.makeRBT=function(t){for(var e=new Array(t),r=a.prototype._countBits(t)-1,n=0;n<t;n++)e[n]=this.revBin(n,r,t);return e},g.prototype.revBin=function(t,e,r){if(0===t||t===r-1)return t;for(var n=0,i=0;i<e;i++)n|=(1&t)<<e-i-1,t>>=1;return n},g.prototype.permute=function(t,e,r,n,i,a){for(var o=0;o<a;o++)n[o]=e[t[o]],i[o]=r[t[o]]},g.prototype.transform=function(t,e,r,n,i,a){this.permute(a,t,e,r,n,i);for(var o=1;o<i;o<<=1)for(var s=o<<1,l=Math.cos(2*Math.PI/s),u=Math.sin(2*Math.PI/s),c=0;c<i;c+=s)for(var f=l,h=u,p=0;p<o;p++){var d=r[c+p],v=n[c+p],g=r[c+p+o],y=n[c+p+o],m=f*g-h*y;y=f*y+h*g,g=m,r[c+p]=d+g,n[c+p]=v+y,r[c+p+o]=d-g,n[c+p+o]=v-y,p!==s&&(m=l*f-u*h,h=l*h+u*f,f=m)}},g.prototype.guessLen13b=function(t,e){var r=1|Math.max(e,t),n=1&r,i=0;for(r=r/2|0;r;r>>>=1)i++;return 1<<i+1+n},g.prototype.conjugate=function(t,e,r){if(!(r<=1))for(var n=0;n<r/2;n++){var i=t[n];t[n]=t[r-n-1],t[r-n-1]=i,i=e[n],e[n]=-e[r-n-1],e[r-n-1]=-i}},g.prototype.normalize13b=function(t,e){for(var r=0,n=0;n<e/2;n++){var i=8192*Math.round(t[2*n+1]/e)+Math.round(t[2*n]/e)+r;t[n]=67108863&i,r=i<67108864?0:i/67108864|0}return t},g.prototype.convert13b=function(t,e,r,i){for(var a=0,o=0;o<e;o++)a+=0|t[o],r[2*o]=8191&a,a>>>=13,r[2*o+1]=8191&a,a>>>=13;for(o=2*e;o<i;++o)r[o]=0;n(0===a),n(0==(-8192&a))},g.prototype.stub=function(t){for(var e=new Array(t),r=0;r<t;r++)e[r]=0;return e},g.prototype.mulp=function(t,e,r){var n=2*this.guessLen13b(t.length,e.length),i=this.makeRBT(n),a=this.stub(n),o=new Array(n),s=new Array(n),l=new Array(n),u=new Array(n),c=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,u,n),this.transform(o,a,s,l,n,i),this.transform(u,a,c,f,n,i);for(var p=0;p<n;p++){var d=s[p]*c[p]-l[p]*f[p];l[p]=s[p]*f[p]+l[p]*c[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),v(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 u=0;u<o;u++)l.words[u]=this.words[u];l.length=o}if(0===o);else if(this.length>o)for(this.length-=o,u=0;u<this.length;u++)this.words[u]=this.words[u+o];else this.words[0]=0,this.length=1;var c=0;for(u=this.length-1;u>=0&&(0!==c||u>=i);u--){var f=0|this.words[u];this.words[u]=c<<26-a|f>>>a,c=f&s}return l&&0!==c&&(l.words[l.length++]=c),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 u=0;u<s.length;u++)s.words[u]=0}var c=n.clone()._ishlnsubmul(i,1,l);0===c.negative&&(n=c,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),u=0;e.isEven()&&r.isEven();)e.iushrn(1),r.iushrn(1),++u;for(var c=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(c),o.isub(f)),i.iushrn(1),o.iushrn(1);for(var d=0,v=1;0==(r.words[0]&v)&&d<26;++d,v<<=1);if(d>0)for(r.iushrn(d);d-- >0;)(s.isOdd()||l.isOdd())&&(s.iadd(c),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(u)}},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 u=0,c=1;0==(e.words[0]&c)&&u<26;++u,c<<=1);if(u>0)for(e.iushrn(u);u-- >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 in reduction context\"),this._forceRed(t)},a.prototype.redAdd=function(t){return n(this.red,\"redAdd works only with red numbers\"),this.red.add(this,t)},a.prototype.redIAdd=function(t){return n(this.red,\"redIAdd works only with red numbers\"),this.red.iadd(this,t)},a.prototype.redSub=function(t){return n(this.red,\"redSub works only with red numbers\"),this.red.sub(this,t)},a.prototype.redISub=function(t){return n(this.red,\"redISub works only with red numbers\"),this.red.isub(this,t)},a.prototype.redShl=function(t){return n(this.red,\"redShl works only with red numbers\"),this.red.shl(this,t)},a.prototype.redMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.mul(this,t)},a.prototype.redIMul=function(t){return n(this.red,\"redMul works only with red numbers\"),this.red._verify2(this,t),this.red.imul(this,t)},a.prototype.redSqr=function(){return n(this.red,\"redSqr works only with red numbers\"),this.red._verify1(this),this.red.sqr(this)},a.prototype.redISqr=function(){return n(this.red,\"redISqr works only with red numbers\"),this.red._verify1(this),this.red.isqr(this)},a.prototype.redSqrt=function(){return n(this.red,\"redSqrt works only with red numbers\"),this.red._verify1(this),this.red.sqrt(this)},a.prototype.redInvm=function(){return n(this.red,\"redInvm works only with red numbers\"),this.red._verify1(this),this.red.invm(this)},a.prototype.redNeg=function(){return n(this.red,\"redNeg works only with red numbers\"),this.red._verify1(this),this.red.neg(this)},a.prototype.redPow=function(t){return n(this.red&&!t.red,\"redPow(normalNum)\"),this.red._verify1(this),this.red.pow(this,t)};var y={k256:null,p224:null,p192:null,p25519:null};function m(t,e){this.name=t,this.p=new a(e,16),this.n=this.p.bitLength(),this.k=new a(1).iushln(this.n).isub(this.p),this.tmp=this._tmp()}function x(){m.call(this,\"k256\",\"ffffffff ffffffff ffffffff ffffffff ffffffff ffffffff fffffffe fffffc2f\")}function b(){m.call(this,\"p224\",\"ffffffff ffffffff ffffffff ffffffff 00000000 00000000 00000001\")}function _(){m.call(this,\"p192\",\"ffffffff ffffffff ffffffff fffffffe ffffffff ffffffff\")}function w(){m.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)}m.prototype._tmp=function(){var t=new a(null);return t.words=new Array(Math.ceil(this.n/13)),t},m.prototype.ireduce=function(t){var e,r=t;do{this.split(r,this.tmp),e=(r=(r=this.imulK(r)).iadd(this.tmp)).bitLength()}while(e>this.n);var n=e<this.n?-1:r.ucmp(this.p);return 0===n?(r.words[0]=0,r.length=1):n>0?r.isub(this.p):void 0!==r.strip?r.strip():r._strip(),r},m.prototype.split=function(t,e){t.iushrn(this.n,0,e)},m.prototype.imulK=function(t){return t.imul(this.k)},i(x,m),x.prototype.split=function(t,e){for(var r=4194303,n=Math.min(t.length,9),i=0;i<n;i++)e.words[i]=t.words[i];if(e.length=n,t.length<=9)return t.words[0]=0,void(t.length=1);var a=t.words[9];for(e.words[e.length++]=a&r,i=10;i<t.length;i++){var o=0|t.words[i];t.words[i-10]=(o&r)<<4|a>>>22,a=o}a>>>=22,t.words[i-10]=a,0===a&&t.length>10?t.length-=10:t.length-=9},x.prototype.imulK=function(t){t.words[t.length]=0,t.words[t.length+1]=0,t.length+=2;for(var e=0,r=0;r<t.length;r++){var n=0|t.words[r];e+=977*n,t.words[r]=67108863&e,e=64*n+(e/67108864|0)}return 0===t.words[t.length-1]&&(t.length--,0===t.words[t.length-1]&&t.length--),t},i(b,m),i(_,m),i(w,m),w.prototype.imulK=function(t){for(var e=0,r=0;r<t.length;r++){var n=19*(0|t.words[r])+e,i=67108863&n;n>>>=26,t.words[r]=i,e=n}return 0!==e&&(t.words[t.length++]=e),t},a._prime=function(t){if(y[t])return y[t];var e;if(\"k256\"===t)e=new x;else if(\"p224\"===t)e=new b;else if(\"p192\"===t)e=new _;else{if(\"p25519\"!==t)throw new Error(\"Unknown prime \"+t);e=new w}return y[t]=e,e},T.prototype._verify1=function(t){n(0===t.negative,\"red works only with positives\"),n(t.red,\"red works only with red numbers\")},T.prototype._verify2=function(t,e){n(0==(t.negative|e.negative),\"red works only with positives\"),n(t.red&&t.red===e.red,\"red works only with red numbers\")},T.prototype.imod=function(t){return this.prime?this.prime.ireduce(t)._forceRed(this):t.umod(this.m)._forceRed(this)},T.prototype.neg=function(t){return t.isZero()?t.clone():this.m.sub(t)._forceRed(this)},T.prototype.add=function(t,e){this._verify2(t,e);var r=t.add(e);return r.cmp(this.m)>=0&&r.isub(this.m),r._forceRed(this)},T.prototype.iadd=function(t,e){this._verify2(t,e);var r=t.iadd(e);return r.cmp(this.m)>=0&&r.isub(this.m),r},T.prototype.sub=function(t,e){this._verify2(t,e);var r=t.sub(e);return r.cmpn(0)<0&&r.iadd(this.m),r._forceRed(this)},T.prototype.isub=function(t,e){this._verify2(t,e);var r=t.isub(e);return r.cmpn(0)<0&&r.iadd(this.m),r},T.prototype.shl=function(t,e){return this._verify1(t),this.imod(t.ushln(e))},T.prototype.imul=function(t,e){return this._verify2(t,e),this.imod(t.imul(e))},T.prototype.mul=function(t,e){return this._verify2(t,e),this.imod(t.mul(e))},T.prototype.isqr=function(t){return this.imul(t,t.clone())},T.prototype.sqr=function(t){return this.mul(t,t)},T.prototype.sqrt=function(t){if(t.isZero())return t.clone();var e=this.m.andln(3);if(n(e%2==1),3===e){var r=this.m.add(new a(1)).iushrn(2);return this.pow(t,r)}for(var i=this.m.subn(1),o=0;!i.isZero()&&0===i.andln(1);)o++,i.iushrn(1);n(!i.isZero());var s=new a(1).toRed(this),l=s.redNeg(),u=this.m.subn(1).iushrn(1),c=this.m.bitLength();for(c=new a(2*c*c).toRed(this);0!==this.pow(c,u).cmp(l);)c.redIAdd(l);for(var f=this.pow(c,i),h=this.pow(t,i.addn(1).iushrn(1)),p=this.pow(t,i),d=o;0!==p.cmp(s);){for(var v=p,g=0;0!==v.cmp(s);g++)v=v.redSqr();n(g<d);var y=this.pow(f,new a(1).iushln(d-g-1));h=h.redMul(y),f=y.redSqr(),p=p.redMul(f),d=g}return h},T.prototype.invm=function(t){var e=t._invmp(this.m);return 0!==e.negative?(e.negative=0,this.imod(e).redNeg()):this.imod(e)},T.prototype.pow=function(t,e){if(e.isZero())return new a(1).toRed(this);if(0===e.cmpn(1))return t.clone();var r=new Array(16);r[0]=new a(1).toRed(this),r[1]=t;for(var n=2;n<r.length;n++)r[n]=this.mul(r[n-1],t);var i=r[0],o=0,s=0,l=e.bitLength()%26;for(0===l&&(l=26),n=e.length-1;n>=0;n--){for(var u=e.words[n],c=l-1;c>=0;c--){var f=u>>c&1;i!==r[0]&&(i=this.sqr(i)),0!==f||0!==o?(o<<=1,o|=f,(4==++s||0===n&&0===c)&&(i=this.mul(i,r[o]),s=0,o=0)):s=0}l=26}return i},T.prototype.convertTo=function(t){var e=t.umod(this.m);return e===t?e.clone():e},T.prototype.convertFrom=function(t){var e=t.clone();return e.red=null,e},a.mont=function(t){return new k(t)},i(k,T),k.prototype.convertTo=function(t){return this.imod(t.ushln(this.shift))},k.prototype.convertFrom=function(t){var e=this.imod(t.mul(this.rinv));return e.red=null,e},k.prototype.imul=function(t,e){if(t.isZero()||e.isZero())return t.words[0]=0,t.length=1,t;var r=t.imul(e),n=r.maskn(this.shift).mul(this.minv).imaskn(this.shift).mul(this.m),i=r.isub(n).iushrn(this.shift),a=i;return i.cmp(this.m)>=0?a=i.isub(this.m):i.cmpn(0)<0&&(a=i.iadd(this.m)),a._forceRed(this)},k.prototype.mul=function(t,e){if(t.isZero()||e.isZero())return new a(0)._forceRed(this);var 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if(h.right===s){if(!(d=p.left)||0!==d._color){p._color=0,p.right=h.left,h._color=1,h.left=p,l[f-2]=h,l[f-1]=s,i(p),i(h),f>=3&&((v=l[f-3]).right===p?v.right=h:v.left=h);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}else{var d;if(!(d=p.left)||0!==d._color){var v;h.left=s.right,p._color=0,p.right=s.left,s._color=1,s.right=h,s.left=p,l[f-2]=s,l[f-1]=h,i(p),i(h),i(s),f>=3&&((v=l[f-3]).right===p?v.right=s:v.left=s);break}h._color=1,p.left=n(1,d),p._color=0,f-=1}}return l[0]._color=1,new a(o,l[0])},o.forEach=function(t,e,r){if(this.root)switch(arguments.length){case 1:return s(t,this.root);case 2:return l(e,this._compare,t,this.root);case 3:if(this._compare(e,r)>=0)return;return u(e,r,this._compare,t,this.root)}},Object.defineProperty(o,\"begin\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.left;return new c(this,t)}}),Object.defineProperty(o,\"end\",{get:function(){for(var t=[],e=this.root;e;)t.push(e),e=e.right;return new c(this,t)}}),o.at=function(t){if(t<0)return new c(this,[]);for(var e=this.root,r=[];;){if(r.push(e),e.left){if(t<e.left._count){e=e.left;continue}t-=e.left._count}if(!t)return new c(this,r);if(t-=1,!e.right)break;if(t>=e.right._count)break;e=e.right}return new c(this,[])},o.ge=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<=0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new c(this,n)},o.gt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a<0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new c(this,n)},o.lt=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>0&&(i=n.length),r=a<=0?r.left:r.right}return n.length=i,new c(this,n)},o.le=function(t){for(var e=this._compare,r=this.root,n=[],i=0;r;){var a=e(t,r.key);n.push(r),a>=0&&(i=n.length),r=a<0?r.left:r.right}return n.length=i,new c(this,n)},o.find=function(t){for(var e=this._compare,r=this.root,n=[];r;){var i=e(t,r.key);if(n.push(r),0===i)return new c(this,n);r=i<=0?r.left:r.right}return new c(this,[])},o.remove=function(t){var e=this.find(t);return e?e.remove():this},o.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 f=c.prototype;function h(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 p(t,e){return t<e?-1:t>e?1:0}Object.defineProperty(f,\"valid\",{get:function(){return this._stack.length>0}}),Object.defineProperty(f,\"node\",{get:function(){return this._stack.length>0?this._stack[this._stack.length-1]:null},enumerable:!0}),f.clone=function(){return new c(this.tree,this._stack.slice())},f.remove=function(){var t=this._stack;if(0===t.length)return this.tree;var o=new Array(t.length),s=t[t.length-1];o[o.length-1]=new e(s._color,s.key,s.value,s.left,s.right,s._count);for(var l=t.length-2;l>=0;--l)(s=t[l]).left===t[l+1]?o[l]=new e(s._color,s.key,s.value,o[l+1],s.right,s._count):o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);if((s=o[o.length-1]).left&&s.right){var u=o.length;for(s=s.left;s.right;)o.push(s),s=s.right;var c=o[u-1];for(o.push(new e(s._color,c.key,c.value,s.left,s.right,s._count)),o[u-1].key=s.key,o[u-1].value=s.value,l=o.length-2;l>=u;--l)s=o[l],o[l]=new e(s._color,s.key,s.value,s.left,o[l+1],s._count);o[u-1].left=o[u]}if(0===(s=o[o.length-1])._color){var f=o[o.length-2];for(f.left===s?f.left=null:f.right===s&&(f.right=null),o.pop(),l=0;l<o.length;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(s.left||s.right){for(s.left?h(s,s.left):s.right&&h(s,s.right),s._color=1,l=0;l<o.length-1;++l)o[l]._count--;return new a(this.tree._compare,o[0])}if(1===o.length)return new a(this.tree._compare,null);for(l=0;l<o.length;++l)o[l]._count--;var p=o[o.length-2];return function(t){for(var e,a,o,s,l=t.length-1;l>=0;--l){if(e=t[l],0===l)return void(e._color=1);if((a=t[l-1]).left===e){if((o=a.right).right&&0===o.right._color)return s=(o=a.right=r(o)).right=r(o.right),a.right=o.left,o.left=a,o.right=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),void(t[l-1]=o);if(o.left&&0===o.left._color)return s=(o=a.right=r(o)).left=r(o.left),a.right=s.left,o.left=s.right,s.left=a,s.right=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).left===a?u.left=s:u.right=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.right=n(0,o));a.right=n(0,o);continue}o=r(o),a.right=o.left,o.left=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).left===a?u.left=o:u.right=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}else{if((o=a.left).left&&0===o.left._color)return s=(o=a.left=r(o)).left=r(o.left),a.left=o.right,o.right=a,o.left=s,o._color=a._color,e._color=1,a._color=1,s._color=1,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),void(t[l-1]=o);if(o.right&&0===o.right._color)return s=(o=a.left=r(o)).right=r(o.right),a.left=s.right,o.right=s.left,s.right=a,s.left=o,s._color=a._color,a._color=1,o._color=1,e._color=1,i(a),i(o),i(s),l>1&&((u=t[l-2]).right===a?u.right=s:u.left=s),void(t[l-1]=s);if(1===o._color){if(0===a._color)return a._color=1,void(a.left=n(0,o));a.left=n(0,o);continue}var u;o=r(o),a.left=o.right,o.right=a,o._color=a._color,a._color=0,i(a),i(o),l>1&&((u=t[l-2]).right===a?u.right=o:u.left=o),t[l-1]=o,t[l]=a,l+1<t.length?t[l+1]=e:t.push(e),l+=2}}}(o),p.left===s?p.left=null:p.right=null,new a(this.tree._compare,o[0])},Object.defineProperty(f,\"key\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].key},enumerable:!0}),Object.defineProperty(f,\"value\",{get:function(){if(this._stack.length>0)return this._stack[this._stack.length-1].value},enumerable:!0}),Object.defineProperty(f,\"index\",{get:function(){var t=0,e=this._stack;if(0===e.length){var r=this.tree.root;return 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}),f.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(f,\"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}}),f.update=function(t){var r=this._stack;if(0===r.length)throw new Error(\"Can't update empty node!\");var n=new Array(r.length),i=r[r.length-1];n[n.length-1]=new e(i._color,i.key,t,i.left,i.right,i._count);for(var o=r.length-2;o>=0;--o)(i=r[o]).left===r[o+1]?n[o]=new e(i._color,i.key,i.value,n[o+1],i.right,i._count):n[o]=new e(i._color,i.key,i.value,i.left,n[o+1],i._count);return new a(this.tree._compare,n[0])},f.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(f,\"hasPrev\",{get:function(){var t=this._stack;if(0===t.length)return!1;if(t[t.length-1].left)return!0;for(var e=t.length-1;e>0;--e)if(t[e-1].right===t[e])return!0;return!1}})},3837:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=new c(t);return r.update(e),r};var n=r(4935),i=r(501),a=r(5304),o=r(6429),s=r(6444),l=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]);function u(t,e){return t[0]=e[0],t[1]=e[1],t[2]=e[2],t}function c(t){this.gl=t,this.pixelRatio=1,this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.autoTicks=!0,this.tickSpacing=[1,1,1],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickFontStyle=[\"normal\",\"normal\",\"normal\"],this.tickFontWeight=[\"normal\",\"normal\",\"normal\"],this.tickFontVariant=[\"normal\",\"normal\",\"normal\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.labelFontStyle=[\"normal\",\"normal\",\"normal\"],this.labelFontWeight=[\"normal\",\"normal\",\"normal\"],this.labelFontVariant=[\"normal\",\"normal\",\"normal\"],this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=c.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),u=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]})),c=!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)for(r=t.ticks,c=!0,this.autoTicks=!1,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,c=!0,this._firstInit=!1),f&&this.autoTicks&&(r=s.create(this.bounds,this.tickSpacing),c=!0),c){for(p=0;p<3;++p)r[p].sort((function(t,e){return t.x-e.x}));s.equal(r,this.ticks)?c=!1:this.ticks=r}o(\"tickEnable\"),l(\"tickFont\")&&(c=!0),l(\"tickFontStyle\")&&(c=!0),l(\"tickFontWeight\")&&(c=!0),l(\"tickFontVariant\")&&(c=!0),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),u(\"tickColor\");var v=l(\"labels\");l(\"labelFont\")&&(v=!0),l(\"labelFontStyle\")&&(v=!0),l(\"labelFontWeight\")&&(v=!0),l(\"labelFontVariant\")&&(v=!0),o(\"labelEnable\"),a(\"labelSize\"),a(\"labelPad\"),u(\"labelColor\"),o(\"lineEnable\"),o(\"lineMirror\"),a(\"lineWidth\"),u(\"lineColor\"),o(\"lineTickEnable\"),o(\"lineTickMirror\"),a(\"lineTickLength\"),a(\"lineTickWidth\"),u(\"lineTickColor\"),o(\"gridEnable\"),a(\"gridWidth\"),u(\"gridColor\"),o(\"zeroEnable\"),u(\"zeroLineColor\"),a(\"zeroLineWidth\"),o(\"backgroundEnable\"),u(\"backgroundColor\");var g=[{family:this.labelFont[0],style:this.labelFontStyle[0],weight:this.labelFontWeight[0],variant:this.labelFontVariant[0]},{family:this.labelFont[1],style:this.labelFontStyle[1],weight:this.labelFontWeight[1],variant:this.labelFontVariant[1]},{family:this.labelFont[2],style:this.labelFontStyle[2],weight:this.labelFontWeight[2],variant:this.labelFontVariant[2]}],y=[{family:this.tickFont[0],style:this.tickFontStyle[0],weight:this.tickFontWeight[0],variant:this.tickFontVariant[0]},{family:this.tickFont[1],style:this.tickFontStyle[1],weight:this.tickFontWeight[1],variant:this.tickFontVariant[1]},{family:this.tickFont[2],style:this.tickFontStyle[2],weight:this.tickFontWeight[2],variant:this.tickFontVariant[2]}];this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,g,this.ticks,y):this._text=n(this.gl,this.bounds,this.labels,g,this.ticks,y),this._lines&&c&&(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,u=n[e],c=0;c<3;++c)if(e!==c){var f=a,h=s,p=o,d=l;u&1<<c&&(f=s,h=a,p=l,d=o),f[c]=r[0][c],h[c]=r[1][c],i[c]>0?(p[c]=-1,d[c]=0):(p[c]=0,d[c]=1)}}var v=[0,0,0],g={model:l,view:l,projection:l,_ortho:!1};f.isOpaque=function(){return!0},f.isTransparent=function(){return!1},f.drawTransparent=function(t){};var y=[0,0,0],m=[0,0,0],x=[0,0,0];f.draw=function(t){t=t||g;for(var e=this.gl,r=t.model||l,n=t.view||l,i=t.projection||l,a=this.bounds,s=t._ortho||!1,c=o(r,n,i,a,s),f=c.cubeEdges,h=c.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,L,C=v;for(A=0;A<3;++A)this.backgroundEnable[A]?C[A]=h[A]:C[A]=0;for(this._background.draw(r,n,i,a,C,this.backgroundColor),this._lines.bind(r,n,i,this),A=0;A<3;++A){var P=[0,0,0];h[A]>0?P[A]=a[1][A]:P[A]=a[0][A];for(var O=0;O<2;++O){var I=(A+1+O)%3,z=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,z,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,z=(A+1+(1^O))%3,this.zeroEnable[z]&&Math.min(a[0][z],a[1][z])<=0&&Math.max(a[0][z],a[1][z])>=0&&this._lines.drawZero(I,z,this.bounds,P,this.zeroLineColor[z],this.zeroLineWidth[z]*this.pixelRatio)}for(A=0;A<3;++A){this.lineEnable[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].primalOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio),this.lineMirror[A]&&this._lines.drawAxisLine(A,this.bounds,M[A].mirrorOffset,this.lineColor[A],this.lineWidth[A]*this.pixelRatio);var D=u(y,M[A].primalMinor),R=u(m,M[A].mirrorMinor),F=this.lineTickLength;for(O=0;O<3;++O){var B=k/r[5*O];D[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,D,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio),this.lineTickMirror[A]&&this._lines.drawAxisTicks(A,M[A].mirrorOffset,R,this.lineTickColor[A],this.lineTickWidth[A]*this.pixelRatio)}function N(t){(L=[0,0,0])[t]=1}function j(t,e,r){var n=(t+1)%3,i=(t+2)%3,a=e[n],o=e[i],s=r[n],l=r[i];a>0&&l>0||a>0&&l<0||a<0&&l>0||a<0&&l<0?N(n):(o>0&&s>0||o>0&&s<0||o<0&&s>0||o<0&&s<0)&&N(i)}for(this._lines.unbind(),this._text.bind(r,n,i,this.pixelRatio),A=0;A<3;++A){var U=M[A].primalMinor,V=M[A].mirrorMinor,q=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(q[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var H=[0,0,0];if(H[A]=1,this.tickEnable[A]){for(-3600===this.tickAngle[A]?(this.tickAngle[A]=0,this.tickAlign[A]=\"auto\"):this.tickAlign[A]=-1,E=1,\"auto\"===(S=[this.tickAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),L=[0,0,0],j(A,U,V),O=0;O<3;++O)q[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],q,this.tickColor[A],H,L,S)}if(this.labelEnable[A]){for(E=0,L=[0,0,0],this.labels[A].length>4&&(N(A),E=1),\"auto\"===(S=[this.labelAlign[A],.5,E])[0]?S[0]=0:S[0]=parseInt(\"\"+S[0]),O=0;O<3;++O)q[O]+=k*U[O]*this.labelPad[O]/r[5*O];q[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],q,this.labelColor[A],[0,0,0],L,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}},5304:function(t,e,r){\"use strict\";t.exports=function(t){for(var e=[],r=[],s=0,l=0;l<3;++l)for(var u=(l+1)%3,c=(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[u]=d;for(var v=-1;v<=1;v+=2)f[c]=v,e.push(f[0],f[1],f[2],h[0],h[1],h[2]),s+=1}var g=u;u=c,c=g}var y=n(t,new Float32Array(e)),m=n(t,new Uint16Array(r),t.ELEMENT_ARRAY_BUFFER),x=i(t,[{buffer:y,type:t.FLOAT,size:3,offset:0,stride:24},{buffer:y,type:t.FLOAT,size:3,offset:12,stride:24}],m),b=a(t);return b.attributes.position.location=0,b.attributes.normal.location=1,new o(t,y,x,b)};var n=r(2762),i=r(8116),a=r(1879).bg;function o(t,e,r,n){this.gl=t,this.buffer=e,this.vao=r,this.shader=n}var s=o.prototype;s.draw=function(t,e,r,n,i,a){for(var o=!1,s=0;s<3;++s)o=o||i[s];if(o){var l=this.gl;l.enable(l.POLYGON_OFFSET_FILL),l.polygonOffset(1,2),this.shader.bind(),this.shader.uniforms={model:t,view:e,projection:r,bounds:n,enable:i,colors:a},this.vao.bind(),this.vao.draw(this.gl.TRIANGLES,36),this.vao.unbind(),l.disable(l.POLYGON_OFFSET_FILL)}},s.dispose=function(){this.vao.dispose(),this.buffer.dispose(),this.shader.dispose()}},6429:function(t,e,r){\"use strict\";t.exports=function(t,e,r,a,p){i(s,e,t),i(s,r,s);for(var m=0,x=0;x<2;++x){c[2]=a[x][2];for(var b=0;b<2;++b){c[1]=a[b][1];for(var _=0;_<2;++_)c[0]=a[_][0],h(l[m],c,s),m+=1}}var w=-1;for(x=0;x<8;++x){for(var T=l[x][3],k=0;k<3;++k)u[x][k]=l[x][k]/T;p&&(u[x][2]*=-1),T<0&&(w<0||u[x][2]<u[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=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);o(u[I],u[P],u[O],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=(I=C<<A)+(C<<M)+(1-C<<S),O=I+(1-C<<M)+(C<<S);var I,z=d([l[I],l[P],l[O],l[I+(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||u[R][1]>u[x][1])&&(R=x);var F=-1;for(x=0;x<3;++x)(N=R^1<<x)!==w&&N!==D&&(F<0&&(F=N),(S=u[N])[0]<u[F][0]&&(F=N));var B=-1;for(x=0;x<3;++x){var N;(N=R^1<<x)!==w&&N!==D&&N!==F&&(B<0&&(B=N),(S=u[N])[0]>u[B][0]&&(B=N))}var j=v;j[0]=j[1]=j[2]=0,j[n.log2(F^R)]=R&F,j[n.log2(R^B)]=R&B;var U=7^B;U===w||U===D?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,q=w;for(A=0;A<3;++A)V[A]=q&1<<A?-1:1;return y};var n=r(8828),i=r(6760),a=r(5202),o=r(3250),s=new Array(16),l=new Array(8),u=new Array(8),c=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],u[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],u=s[0]/s[3]-n,c=s[1]/s[3]-i,f=l[0]/l[3]-n,h=l[1]/l[3]-i;o+=Math.abs(u*h-c*f)}return o}var v=[1,1,1],g=[0,0,0],y={cubeEdges:v,axis:g}},501:function(t,e,r){\"use strict\";t.exports=function(t,e,r){var o=[],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[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 v=+r[f][d].x;o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1)}var g=o.length/3|0;s[f]=h,l[f]=g-h,h=o.length/3|0;for(var y=0;y<r[f].length;++y)v=+r[f][y].x,o.push(v,0,1,v,1,1,v,0,-1,v,0,-1,v,1,1,v,1,-1);g=o.length/3|0,u[f]=h,c[f]=g-h}var m=n(t,new Float32Array(o)),x=i(t,[{buffer:m,type:t.FLOAT,size:3,stride:0,offset:0}]),b=a(t);return b.attributes.position.location=0,new p(t,m,x,b,l,s,c,u)};var n=r(2762),i=r(8116),a=r(1879).n,o=[0,0,0],s=[0,0,0],l=[0,0,0],u=[0,0,0],c=[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,c[0]=this.gl.drawingBufferWidth,c[1]=this.gl.drawingBufferHeight,this.shader.uniforms.screenShape=c,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,c=h(u,r);c[t]+=e[0][t],this.shader.uniforms.offset=c,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 c=f(s);c[e]=r[1][e]-r[0][e],this.shader.uniforms.minorAxis=c;var p=h(u,n);p[e]+=r[0][e],this.shader.uniforms.offset=p;var d=f(o);d[t]=1,this.shader.uniforms.majorAxis=d;var v=f(l);v[t]=1,this.shader.uniforms.screenAxis=v,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 c=h(u,n);c[t]+=r[0][t],this.shader.uniforms.offset=c;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()}},1879:function(t,e,r){\"use strict\";var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, majorAxis, minorAxis, screenAxis;\\nuniform float lineWidth;\\nuniform vec2 screenShape;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nvoid main() {\\n  vec3 major = position.x * majorAxis;\\n  vec3 minor = position.y * minorAxis;\\n\\n  vec3 vPosition = major + minor + offset;\\n  vec3 pPosition = project(vPosition);\\n  vec3 offset = project(vPosition + screenAxis * position.z);\\n\\n  vec2 screen = normalize((offset - pPosition).xy * screenShape) / screenShape;\\n\\n  gl_Position = vec4(pPosition + vec3(0.5 * screen * lineWidth, 0), 1.0);\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.n=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"}])};var s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 offset, axis, alignDir, alignOpt;\\nuniform float scale, angle, pixelScale;\\nuniform vec2 resolution;\\n\\nvec3 project(vec3 p) {\\n  vec4 pp = projection * view * model * vec4(p, 1.0);\\n  return pp.xyz / max(pp.w, 0.0001);\\n}\\n\\nfloat computeViewAngle(vec3 a, vec3 b) {\\n  vec3 A = project(a);\\n  vec3 B = project(b);\\n\\n  return atan(\\n    (B.y - A.y) * resolution.y,\\n    (B.x - A.x) * resolution.x\\n  );\\n}\\n\\nconst float PI = 3.141592;\\nconst float TWO_PI = 2.0 * PI;\\nconst float HALF_PI = 0.5 * PI;\\nconst float ONE_AND_HALF_PI = 1.5 * PI;\\n\\nint option = int(floor(alignOpt.x + 0.001));\\nfloat hv_ratio =       alignOpt.y;\\nbool enableAlign =    (alignOpt.z != 0.0);\\n\\nfloat mod_angle(float a) {\\n  return mod(a, PI);\\n}\\n\\nfloat positive_angle(float a) {\\n  return mod_angle((a < 0.0) ?\\n    a + TWO_PI :\\n    a\\n  );\\n}\\n\\nfloat look_upwards(float a) {\\n  float b = positive_angle(a);\\n  return ((b > HALF_PI) && (b <= ONE_AND_HALF_PI)) ?\\n    b - PI :\\n    b;\\n}\\n\\nfloat look_horizontal_or_vertical(float a, float ratio) {\\n  // ratio controls the ratio between being horizontal to (vertical + horizontal)\\n  // if ratio is set to 0.5 then it is 50%, 50%.\\n  // when using a higher ratio e.g. 0.75 the result would\\n  // likely be more horizontal than vertical.\\n\\n  float b = positive_angle(a);\\n\\n  return\\n    (b < (      ratio) * HALF_PI) ? 0.0 :\\n    (b < (2.0 - ratio) * HALF_PI) ? -HALF_PI :\\n    (b < (2.0 + ratio) * HALF_PI) ? 0.0 :\\n    (b < (4.0 - ratio) * HALF_PI) ? HALF_PI :\\n                                    0.0;\\n}\\n\\nfloat roundTo(float a, float b) {\\n  return float(b * floor((a + 0.5 * b) / b));\\n}\\n\\nfloat look_round_n_directions(float a, int n) {\\n  float b = positive_angle(a);\\n  float div = TWO_PI / float(n);\\n  float c = roundTo(b, div);\\n  return look_upwards(c);\\n}\\n\\nfloat applyAlignOption(float rawAngle, float delta) {\\n  return\\n    (option >  2) ? look_round_n_directions(rawAngle + delta, option) :       // option 3-n: round to n directions\\n    (option == 2) ? look_horizontal_or_vertical(rawAngle + delta, hv_ratio) : // horizontal or vertical\\n    (option == 1) ? rawAngle + delta :       // use free angle, and flip to align with one direction of the axis\\n    (option == 0) ? look_upwards(rawAngle) : // use free angle, and stay upwards\\n    (option ==-1) ? 0.0 :                    // useful for backward compatibility, all texts remains horizontal\\n                    rawAngle;                // otherwise return back raw input angle\\n}\\n\\nbool isAxisTitle = (axis.x == 0.0) &&\\n                   (axis.y == 0.0) &&\\n                   (axis.z == 0.0);\\n\\nvoid main() {\\n  //Compute world offset\\n  float axisDistance = position.z;\\n  vec3 dataPosition = axisDistance * axis + offset;\\n\\n  float beta = angle; // i.e. user defined attributes for each tick\\n\\n  float axisAngle;\\n  float clipAngle;\\n  float flip;\\n\\n  if (enableAlign) {\\n    axisAngle = (isAxisTitle) ? HALF_PI :\\n                      computeViewAngle(dataPosition, dataPosition + axis);\\n    clipAngle = computeViewAngle(dataPosition, dataPosition + alignDir);\\n\\n    axisAngle += (sin(axisAngle) < 0.0) ? PI : 0.0;\\n    clipAngle += (sin(clipAngle) < 0.0) ? PI : 0.0;\\n\\n    flip = (dot(vec2(cos(axisAngle), sin(axisAngle)),\\n                vec2(sin(clipAngle),-cos(clipAngle))) > 0.0) ? 1.0 : 0.0;\\n\\n    beta += applyAlignOption(clipAngle, flip * PI);\\n  }\\n\\n  //Compute plane offset\\n  vec2 planeCoord = position.xy * pixelScale;\\n\\n  mat2 planeXform = scale * mat2(\\n     cos(beta), sin(beta),\\n    -sin(beta), cos(beta)\\n  );\\n\\n  vec2 viewOffset = 2.0 * planeXform * planeCoord / resolution;\\n\\n  //Compute clip position\\n  vec3 clipPosition = project(dataPosition);\\n\\n  //Apply text offset in clip coordinates\\n  clipPosition += vec3(viewOffset, 0.0);\\n\\n  //Done\\n  gl_Position = vec4(clipPosition, 1.0);\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = color;\\n}\"]);e.Q=function(t){return i(t,s,l,null,[{name:\"position\",type:\"vec3\"}])};var u=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}\"]),c=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform vec4 colors[3];\\n\\nvarying vec3 colorChannel;\\n\\nvoid main() {\\n  gl_FragColor = colorChannel.x * colors[0] +\\n                 colorChannel.y * colors[1] +\\n                 colorChannel.z * colors[2];\\n}\"]);e.bg=function(t){return i(t,u,c,null,[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}])}},4935:function(t,e,r){\"use strict\";t.exports=function(t,e,r,n,o,l){var u=i(t),f=a(t,[{buffer:u,size:3}]),h=s(t);h.attributes.position.location=0;var p=new c(t,h,u,f);return p.update(e,r,n,o,l),p};var i=r(2762),a=r(8116),o=r(4359),s=r(1879).Q,l=window||n.global||{},u=l.__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}l.__TEXT_CACHE={};var f=c.prototype,h=[0,0];f.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,h[0]=this.gl.drawingBufferWidth,h[1]=this.gl.drawingBufferHeight,this.shader.uniforms.resolution=h},f.unbind=function(){this.vao.unbind()},f.update=function(t,e,r,n,i){var a=[];function s(t,e,r,n,i,s){var l=[r.style,r.weight,r.variant,r.family].join(\"_\"),c=u[l];c||(c=u[l]={});var f=c[e];f||(f=c[e]=function(t,e){try{return o(t,e)}catch(e){return console.warn('error vectorizing text:\"'+t+'\" error:',e),{cells:[],positions:[]}}}(e,{triangles:!0,font:r.family,fontStyle:r.style,fontWeight:r.weight,fontVariant:r.variant,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var h=(n||12)/12,p=f.positions,d=f.cells,v=0,g=d.length;v<g;++v)for(var y=d[v],m=2;m>=0;--m){var x=p[y[m]];a.push(h*x[0],-h*x[1],t)}}for(var l=[0,0,0],c=[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]=a.length/3|0,s(.5*(t[0][d]+t[1][d]),e[d],r[d],12,1.25,p),h[d]=(a.length/3|0)-f[d],l[d]=a.length/3|0;for(var v=0;v<n[d].length;++v)if(n[d][v].text){var g={family:n[d][v].font||i[d].family,style:i[d].fontStyle||i[d].style,weight:i[d].fontWeight||i[d].weight,variant:i[d].fontVariant||i[d].variant};s(n[d][v].x,n[d][v].text,g,n[d][v].fontSize||12,1.25,p)}c[d]=(a.length/3|0)-l[d]}this.buffer.update(a),this.tickOffset=l,this.tickCount=c,this.labelOffset=f,this.labelCount=h},f.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]))},f.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]))},f.dispose=function(){this.shader.dispose(),this.vao.dispose(),this.buffer.dispose()}},6444:function(t,e){\"use strict\";function r(t,e){var r=t+\"\",n=r.indexOf(\".\"),i=0;n>=0&&(i=r.length-n-1);var a=Math.pow(10,i),o=Math.round(t*e*a),s=o+\"\";if(s.indexOf(\"e\")>=0)return s;var l=o/a,u=o%a;o<0?(l=0|-Math.ceil(l),u=0|-u):(l=0|Math.floor(l),u|=0);var c=\"\"+l;if(o<0&&(c=\"-\"+c),i){for(var f=\"\"+u;f.length<i;)f=\"0\"+f;return c+\".\"+f}return c}e.create=function(t,e){for(var n=[],i=0;i<3;++i){for(var a=[],o=(t[0][i],t[1][i],0);o*e[i]<=t[1][i];++o)a.push({x:o*e[i],text:r(e[i],o)});for(o=-1;o*e[i]>=t[0][i];--o)a.push({x:o*e[i],text:r(e[i],o)});n.push(a)}return n},e.equal=function(t,e){for(var r=0;r<3;++r){if(t[r].length!==e[r].length)return!1;for(var n=0;n<t[r].length;++n){var i=t[r][n],a=e[r][n];if(i.x!==a.x||i.text!==a.text||i.font!==a.font||i.fontColor!==a.fontColor||i.fontSize!==a.fontSize||i.dx!==a.dx||i.dy!==a.dy)return!1}}return!0}},5445:function(t,e,r){\"use strict\";t.exports=function(t,e,r,l,f){var h=e.model||u,p=e.view||u,y=e.projection||u,m=e._ortho||!1,x=t.bounds,b=(f=f||a(h,p,y,x,m)).axis;o(c,p,h),o(c,y,c);for(var _=v,w=0;w<3;++w)_[w].lo=1/0,_[w].hi=-1/0,_[w].pixelsPerDataUnit=1/0;var T=n(s(c,c));s(c,c);for(var k=0;k<3;++k){var A=(k+1)%3,M=(k+2)%3,S=g;t:for(w=0;w<2;++w){var E=[];if(b[k]<0!=!!w){S[k]=x[w][k];for(var L=0;L<2;++L){S[A]=x[L^w][A];for(var C=0;C<2;++C)S[M]=x[C^L^w][M],E.push(S.slice())}var P=m?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 O=d(g,c,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(O[C])))}}}}return _};var n=r(5033),i=r(5202),a=r(6429),o=r(6760),s=r(5665),l=r(5352),u=new Float32Array([1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1]),c=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,u=0;u<3;++u)s[u]=o[u]=r[u];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 c=(o[0]/o[3]-s[0]/s[3])*n,f=(o[1]/o[3]-s[1]/s[3])*i;t[a]=.25*Math.sqrt(c*c+f*f)}return t}var v=[new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0),new f(1/0,-1/0,1/0)],g=[0,0,0]},2762:function(t,e,r){\"use strict\";var n=r(1888),i=r(5298),a=r(9618),o=[\"uint8\",\"uint8_clamped\",\"uint16\",\"uint32\",\"int8\",\"int16\",\"int32\",\"float32\"];function s(t,e,r,n,i){this.gl=t,this.type=e,this.handle=r,this.length=n,this.usage=i}var l=s.prototype;function u(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 c(t,e){for(var r=n.malloc(t.length,e),i=t.length,a=0;a<i;++a)r[a]=t[a];return r}l.bind=function(){this.gl.bindBuffer(this.type,this.handle)},l.unbind=function(){this.gl.bindBuffer(this.type,null)},l.dispose=function(){this.gl.deleteBuffer(this.handle)},l.update=function(t,e){if(\"number\"!=typeof e&&(e=-1),this.bind(),\"object\"==typeof t&&void 0!==t.shape){var r=t.dtype;if(o.indexOf(r)<0&&(r=\"float32\"),this.type===this.gl.ELEMENT_ARRAY_BUFFER&&(r=gl.getExtension(\"OES_element_index_uint\")&&\"uint16\"!==r?\"uint32\":\"uint16\"),r===t.dtype&&function(t,e){for(var r=1,n=e.length-1;n>=0;--n){if(e[n]!==r)return!1;r*=t[n]}return!0}(t.shape,t.stride))0===t.offset&&t.data.length===t.shape[0]?this.length=u(this.gl,this.type,this.length,this.usage,t.data,e):this.length=u(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=u(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?c(t,\"uint16\"):c(t,\"float32\"),this.length=u(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=u(this.gl,this.type,this.length,this.usage,t,e);else{if(\"number\"!=typeof t&&void 0!==t)throw new Error(\"gl-buffer: Invalid data type\");if(e>=0)throw new Error(\"gl-buffer: Cannot specify offset when resizing buffer\");(t|=0)<=0&&(t=1),this.gl.bufferData(this.type,0|t,this.usage),this.length=t}},t.exports=function(t,e,r,n){if(r=r||t.ARRAY_BUFFER,n=n||t.DYNAMIC_DRAW,r!==t.ARRAY_BUFFER&&r!==t.ELEMENT_ARRAY_BUFFER)throw new Error(\"gl-buffer: Invalid type for webgl buffer, must be either gl.ARRAY_BUFFER or gl.ELEMENT_ARRAY_BUFFER\");if(n!==t.DYNAMIC_DRAW&&n!==t.STATIC_DRAW&&n!==t.STREAM_DRAW)throw new Error(\"gl-buffer: Invalid usage for buffer, must be either gl.DYNAMIC_DRAW, gl.STATIC_DRAW or gl.STREAM_DRAW\");var i=t.createBuffer(),a=new s(t,r,i,0,n);return a.update(e),a}},6405:function(t,e,r){\"use strict\";var n=r(2931);t.exports=function(t,e){var r=t.positions,i=t.vectors,a={positions:[],vertexIntensity:[],vertexIntensityBounds:t.vertexIntensityBounds,vectors:[],cells:[],coneOffset:t.coneOffset,colormap:t.colormap};if(0===t.positions.length)return e&&(e[0]=[0,0,0],e[1]=[0,0,0]),a;for(var o=0,s=1/0,l=-1/0,u=1/0,c=-1/0,f=1/0,h=-1/0,p=null,d=null,v=[],g=1/0,y=!1,m=\"raw\"===t.coneSizemode,x=0;x<r.length;x++){var b=r[x];s=Math.min(b[0],s),l=Math.max(b[0],l),u=Math.min(b[1],u),c=Math.max(b[1],c),f=Math.min(b[2],f),h=Math.max(b[2],h);var _=i[x];if(n.length(_)>o&&(o=n.length(_)),x&&!m){var w=2*n.distance(p,b)/(n.length(d)+n.length(_));w?(g=Math.min(g,w),y=!1):y=!0}y||(p=b,d=_),v.push(_)}var T=[s,u,f],k=[l,c,h];e&&(e[0]=T,e[1]=k),0===o&&(o=1);var A=1/o;isFinite(g)||(g=1),a.vectorScale=g;var M=t.coneSize||(m?1:.5);t.absoluteConeSize&&(M=t.absoluteConeSize*A),a.coneScale=M,x=0;for(var S=0;x<r.length;x++)for(var E=(b=r[x])[0],L=b[1],C=b[2],P=v[x],O=n.length(P)*A,I=0;I<8;I++){a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.positions.push([E,L,C,S++]),a.vectors.push(P),a.vectors.push(P),a.vectors.push(P),a.vectors.push(P),a.vectors.push(P),a.vectors.push(P),a.vertexIntensity.push(O,O,O),a.vertexIntensity.push(O,O,O);var z=a.positions.length;a.cells.push([z-6,z-5,z-4],[z-3,z-2,z-1])}return a};var i=r(614);t.exports.createMesh=r(9060),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},9060:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(6760),l=r(7608),u=r(9618),c=r(6729),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,u,c){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=u,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=c,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;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=c({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 u(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,v=-1/0;if(p)if(t.vertexIntensityBounds)d=+t.vertexIntensityBounds[0],v=+t.vertexIntensityBounds[1];else for(var g=0;g<p.length;++g){var y=p[g];d=Math.min(d,y),v=Math.max(v,y)}else for(g=0;g<n.length;++g)y=n[g][2],d=Math.min(d,y),v=Math.max(v,y);for(this.intensity=p||function(t){for(var e=t.length,r=new Array(e),n=0;n<e;++n)r[n]=t[n][2];return r}(n),this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],g=0;g<n.length;++g)for(var m=n[g],x=0;x<3;++x)!isNaN(m[x])&&isFinite(m[x])&&(this.bounds[0][x]=Math.min(this.bounds[0][x],m[x]),this.bounds[1][x]=Math.max(this.bounds[1][x],m[x]));var b=0;t:for(g=0;g<r.length;++g){var _=r[g];if(3===_.length){for(x=0;x<3;++x){m=n[T=_[x]];for(var w=0;w<3;++w)if(isNaN(m[w])||!isFinite(m[w]))continue t}for(x=0;x<3;++x){var T;m=n[T=_[2-x]],a.push(m[0],m[1],m[2],m[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)/(v-d),0]:[(m[2]-d)/(v-d),0],l.push(A[0],A[1]),f.push(g)}b+=1}}this.triangleCount=b,this.trianglePositions.update(a),this.triangleVectors.update(o),this.triangleColors.update(s),this.triangleUVs.update(l),this.triangleIds.update(new Uint32Array(f))}},p.drawTransparent=p.draw=function(t){t=t||{};for(var e=this.gl,r=t.model||f,n=t.view||f,i=t.projection||f,a=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],o=0;o<3;++o)a[0][o]=Math.max(a[0][o],this.clipBounds[0][o]),a[1][o]=Math.min(a[1][o],this.clipBounds[1][o]);var u={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};u.inverseModel=l(u.inverseModel,u.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(s(c,u.view,u.model),s(c,u.projection,c),l(c,c),o=0;o<3;++o)u.eyePosition[o]=c[12+o]/c[15];var h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[4*d+o]*this.lightPosition[d];u.lightPosition[o]=p/h}if(this.triangleCount>0){var v=this.triShader;v.bind(),v.uniforms=u,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()},t.exports=function(t,e,r){var s=r.shaders;1===arguments.length&&(t=(e=t).gl);var l=function(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}(t,s),c=function(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}(t,s),f=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));f.generateMipmap(),f.minFilter=t.LINEAR_MIPMAP_LINEAR,f.magFilter=t.LINEAR;var p=i(t),d=i(t),v=i(t),g=i(t),y=i(t),m=new h(t,f,l,c,p,d,y,v,g,a(t,[{buffer:p,type:t.FLOAT,size:4},{buffer:y,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:d,type:t.FLOAT,size:4}]),r.traceType||\"cone\");return m.update(e),m}},614:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec3 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, coneScale, coneOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * conePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(conePosition, 1.0);\\n  vec4 t_position  = view * conePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = conePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the cone vertex and normal at the given index.\\n//\\n// The returned vertex is for a cone with its top at origin and height of 1.0,\\n// pointing in the direction of the vector attribute.\\n//\\n// Each cone is made up of a top vertex, a center base vertex and base perimeter vertices.\\n// These vertices are used to make up the triangles of the cone by the following:\\n//   segment + 0 top vertex\\n//   segment + 1 perimeter vertex a+1\\n//   segment + 2 perimeter vertex a\\n//   segment + 3 center base vertex\\n//   segment + 4 perimeter vertex a\\n//   segment + 5 perimeter vertex a+1\\n// Where segment is the number of the radial segment * 6 and a is the angle at that radial segment.\\n// To go from index to segment, floor(index / 6)\\n// To go from segment to angle, 2*pi * (segment/segmentCount)\\n// To go from index to segment index, index - (segment*6)\\n//\\nvec3 getConePosition(vec3 d, float rawIndex, float coneOffset, out vec3 normal) {\\n\\n  const float segmentCount = 8.0;\\n\\n  float index = rawIndex - floor(rawIndex /\\n    (segmentCount * 6.0)) *\\n    (segmentCount * 6.0);\\n\\n  float segment = floor(0.001 + index/6.0);\\n  float segmentIndex = index - (segment*6.0);\\n\\n  normal = -normalize(d);\\n\\n  if (segmentIndex > 2.99 && segmentIndex < 3.01) {\\n    return mix(vec3(0.0), -d, coneOffset);\\n  }\\n\\n  float nextAngle = (\\n    (segmentIndex > 0.99 &&  segmentIndex < 1.01) ||\\n    (segmentIndex > 4.99 &&  segmentIndex < 5.01)\\n  ) ? 1.0 : 0.0;\\n  float angle = 2.0 * 3.14159 * ((segment + nextAngle) / segmentCount);\\n\\n  vec3 v1 = mix(d, vec3(0.0), coneOffset);\\n  vec3 v2 = v1 - d;\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d)*0.25;\\n  vec3 y = v * sin(angle) * length(d)*0.25;\\n  vec3 v3 = v2 + x + y;\\n  if (segmentIndex < 3.0) {\\n    vec3 tx = u * sin(angle);\\n    vec3 ty = v * -cos(angle);\\n    vec3 tangent = tx + ty;\\n    normal = normalize(cross(v3 - v1, tangent));\\n  }\\n\\n  if (segmentIndex == 0.0) {\\n    return mix(d, vec3(0.0), coneOffset);\\n  }\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float vectorScale, coneScale, coneOffset;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getConePosition(mat3(model) * ((vectorScale * coneScale) * vector.xyz), position.w, coneOffset, normal);\\n  vec4 conePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n  gl_Position = projection * view * conePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec3\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec3\"}]}},737:function(t){t.exports={0:\"NONE\",1:\"ONE\",2:\"LINE_LOOP\",3:\"LINE_STRIP\",4:\"TRIANGLES\",5:\"TRIANGLE_STRIP\",6:\"TRIANGLE_FAN\",256:\"DEPTH_BUFFER_BIT\",512:\"NEVER\",513:\"LESS\",514:\"EQUAL\",515:\"LEQUAL\",516:\"GREATER\",517:\"NOTEQUAL\",518:\"GEQUAL\",519:\"ALWAYS\",768:\"SRC_COLOR\",769:\"ONE_MINUS_SRC_COLOR\",770:\"SRC_ALPHA\",771:\"ONE_MINUS_SRC_ALPHA\",772:\"DST_ALPHA\",773:\"ONE_MINUS_DST_ALPHA\",774:\"DST_COLOR\",775:\"ONE_MINUS_DST_COLOR\",776:\"SRC_ALPHA_SATURATE\",1024:\"STENCIL_BUFFER_BIT\",1028:\"FRONT\",1029:\"BACK\",1032:\"FRONT_AND_BACK\",1280:\"INVALID_ENUM\",1281:\"INVALID_VALUE\",1282:\"INVALID_OPERATION\",1285:\"OUT_OF_MEMORY\",1286:\"INVALID_FRAMEBUFFER_OPERATION\",2304:\"CW\",2305:\"CCW\",2849:\"LINE_WIDTH\",2884:\"CULL_FACE\",2885:\"CULL_FACE_MODE\",2886:\"FRONT_FACE\",2928:\"DEPTH_RANGE\",2929:\"DEPTH_TEST\",2930:\"DEPTH_WRITEMASK\",2931:\"DEPTH_CLEAR_VALUE\",2932:\"DEPTH_FUNC\",2960:\"STENCIL_TEST\",2961:\"STENCIL_CLEAR_VALUE\",2962:\"STENCIL_FUNC\",2963:\"STENCIL_VALUE_MASK\",2964:\"STENCIL_FAIL\",2965:\"STENCIL_PASS_DEPTH_FAIL\",2966:\"STENCIL_PASS_DEPTH_PASS\",2967:\"STENCIL_REF\",2968:\"STENCIL_WRITEMASK\",2978:\"VIEWPORT\",3024:\"DITHER\",3042:\"BLEND\",3088:\"SCISSOR_BOX\",3089:\"SCISSOR_TEST\",3106:\"COLOR_CLEAR_VALUE\",3107:\"COLOR_WRITEMASK\",3317:\"UNPACK_ALIGNMENT\",3333:\"PACK_ALIGNMENT\",3379:\"MAX_TEXTURE_SIZE\",3386:\"MAX_VIEWPORT_DIMS\",3408:\"SUBPIXEL_BITS\",3410:\"RED_BITS\",3411:\"GREEN_BITS\",3412:\"BLUE_BITS\",3413:\"ALPHA_BITS\",3414:\"DEPTH_BITS\",3415:\"STENCIL_BITS\",3553:\"TEXTURE_2D\",4352:\"DONT_CARE\",4353:\"FASTEST\",4354:\"NICEST\",5120:\"BYTE\",5121:\"UNSIGNED_BYTE\",5122:\"SHORT\",5123:\"UNSIGNED_SHORT\",5124:\"INT\",5125:\"UNSIGNED_INT\",5126:\"FLOAT\",5386:\"INVERT\",5890:\"TEXTURE\",6401:\"STENCIL_INDEX\",6402:\"DEPTH_COMPONENT\",6406:\"ALPHA\",6407:\"RGB\",6408:\"RGBA\",6409:\"LUMINANCE\",6410:\"LUMINANCE_ALPHA\",7680:\"KEEP\",7681:\"REPLACE\",7682:\"INCR\",7683:\"DECR\",7936:\"VENDOR\",7937:\"RENDERER\",7938:\"VERSION\",9728:\"NEAREST\",9729:\"LINEAR\",9984:\"NEAREST_MIPMAP_NEAREST\",9985:\"LINEAR_MIPMAP_NEAREST\",9986:\"NEAREST_MIPMAP_LINEAR\",9987:\"LINEAR_MIPMAP_LINEAR\",10240:\"TEXTURE_MAG_FILTER\",10241:\"TEXTURE_MIN_FILTER\",10242:\"TEXTURE_WRAP_S\",10243:\"TEXTURE_WRAP_T\",10497:\"REPEAT\",10752:\"POLYGON_OFFSET_UNITS\",16384:\"COLOR_BUFFER_BIT\",32769:\"CONSTANT_COLOR\",32770:\"ONE_MINUS_CONSTANT_COLOR\",32771:\"CONSTANT_ALPHA\",32772:\"ONE_MINUS_CONSTANT_ALPHA\",32773:\"BLEND_COLOR\",32774:\"FUNC_ADD\",32777:\"BLEND_EQUATION_RGB\",32778:\"FUNC_SUBTRACT\",32779:\"FUNC_REVERSE_SUBTRACT\",32819:\"UNSIGNED_SHORT_4_4_4_4\",32820:\"UNSIGNED_SHORT_5_5_5_1\",32823:\"POLYGON_OFFSET_FILL\",32824:\"POLYGON_OFFSET_FACTOR\",32854:\"RGBA4\",32855:\"RGB5_A1\",32873:\"TEXTURE_BINDING_2D\",32926:\"SAMPLE_ALPHA_TO_COVERAGE\",32928:\"SAMPLE_COVERAGE\",32936:\"SAMPLE_BUFFERS\",32937:\"SAMPLES\",32938:\"SAMPLE_COVERAGE_VALUE\",32939:\"SAMPLE_COVERAGE_INVERT\",32968:\"BLEND_DST_RGB\",32969:\"BLEND_SRC_RGB\",32970:\"BLEND_DST_ALPHA\",32971:\"BLEND_SRC_ALPHA\",33071:\"CLAMP_TO_EDGE\",33170:\"GENERATE_MIPMAP_HINT\",33189:\"DEPTH_COMPONENT16\",33306:\"DEPTH_STENCIL_ATTACHMENT\",33635:\"UNSIGNED_SHORT_5_6_5\",33648:\"MIRRORED_REPEAT\",33901:\"ALIASED_POINT_SIZE_RANGE\",33902:\"ALIASED_LINE_WIDTH_RANGE\",33984:\"TEXTURE0\",33985:\"TEXTURE1\",33986:\"TEXTURE2\",33987:\"TEXTURE3\",33988:\"TEXTURE4\",33989:\"TEXTURE5\",33990:\"TEXTURE6\",33991:\"TEXTURE7\",33992:\"TEXTURE8\",33993:\"TEXTURE9\",33994:\"TEXTURE10\",33995:\"TEXTURE11\",33996:\"TEXTURE12\",33997:\"TEXTURE13\",33998:\"TEXTURE14\",33999:\"TEXTURE15\",34e3:\"TEXTURE16\",34001:\"TEXTURE17\",34002:\"TEXTURE18\",34003:\"TEXTURE19\",34004:\"TEXTURE20\",34005:\"TEXTURE21\",34006:\"TEXTURE22\",34007:\"TEXTURE23\",34008:\"TEXTURE24\",34009:\"TEXTURE25\",34010:\"TEXTURE26\",34011:\"TEXTURE27\",34012:\"TEXTURE28\",34013:\"TEXTURE29\",34014:\"TEXTURE30\",34015:\"TEXTURE31\",34016:\"ACTIVE_TEXTURE\",34024:\"MAX_RENDERBUFFER_SIZE\",34041:\"DEPTH_STENCIL\",34055:\"INCR_WRAP\",34056:\"DECR_WRAP\",34067:\"TEXTURE_CUBE_MAP\",34068:\"TEXTURE_BINDING_CUBE_MAP\",34069:\"TEXTURE_CUBE_MAP_POSITIVE_X\",34070:\"TEXTURE_CUBE_MAP_NEGATIVE_X\",34071:\"TEXTURE_CUBE_MAP_POSITIVE_Y\",34072:\"TEXTURE_CUBE_MAP_NEGATIVE_Y\",34073:\"TEXTURE_CUBE_MAP_POSITIVE_Z\",34074:\"TEXTURE_CUBE_MAP_NEGATIVE_Z\",34076:\"MAX_CUBE_MAP_TEXTURE_SIZE\",34338:\"VERTEX_ATTRIB_ARRAY_ENABLED\",34339:\"VERTEX_ATTRIB_ARRAY_SIZE\",34340:\"VERTEX_ATTRIB_ARRAY_STRIDE\",34341:\"VERTEX_ATTRIB_ARRAY_TYPE\",34342:\"CURRENT_VERTEX_ATTRIB\",34373:\"VERTEX_ATTRIB_ARRAY_POINTER\",34466:\"NUM_COMPRESSED_TEXTURE_FORMATS\",34467:\"COMPRESSED_TEXTURE_FORMATS\",34660:\"BUFFER_SIZE\",34661:\"BUFFER_USAGE\",34816:\"STENCIL_BACK_FUNC\",34817:\"STENCIL_BACK_FAIL\",34818:\"STENCIL_BACK_PASS_DEPTH_FAIL\",34819:\"STENCIL_BACK_PASS_DEPTH_PASS\",34877:\"BLEND_EQUATION_ALPHA\",34921:\"MAX_VERTEX_ATTRIBS\",34922:\"VERTEX_ATTRIB_ARRAY_NORMALIZED\",34930:\"MAX_TEXTURE_IMAGE_UNITS\",34962:\"ARRAY_BUFFER\",34963:\"ELEMENT_ARRAY_BUFFER\",34964:\"ARRAY_BUFFER_BINDING\",34965:\"ELEMENT_ARRAY_BUFFER_BINDING\",34975:\"VERTEX_ATTRIB_ARRAY_BUFFER_BINDING\",35040:\"STREAM_DRAW\",35044:\"STATIC_DRAW\",35048:\"DYNAMIC_DRAW\",35632:\"FRAGMENT_SHADER\",35633:\"VERTEX_SHADER\",35660:\"MAX_VERTEX_TEXTURE_IMAGE_UNITS\",35661:\"MAX_COMBINED_TEXTURE_IMAGE_UNITS\",35663:\"SHADER_TYPE\",35664:\"FLOAT_VEC2\",35665:\"FLOAT_VEC3\",35666:\"FLOAT_VEC4\",35667:\"INT_VEC2\",35668:\"INT_VEC3\",35669:\"INT_VEC4\",35670:\"BOOL\",35671:\"BOOL_VEC2\",35672:\"BOOL_VEC3\",35673:\"BOOL_VEC4\",35674:\"FLOAT_MAT2\",35675:\"FLOAT_MAT3\",35676:\"FLOAT_MAT4\",35678:\"SAMPLER_2D\",35680:\"SAMPLER_CUBE\",35712:\"DELETE_STATUS\",35713:\"COMPILE_STATUS\",35714:\"LINK_STATUS\",35715:\"VALIDATE_STATUS\",35716:\"INFO_LOG_LENGTH\",35717:\"ATTACHED_SHADERS\",35718:\"ACTIVE_UNIFORMS\",35719:\"ACTIVE_UNIFORM_MAX_LENGTH\",35720:\"SHADER_SOURCE_LENGTH\",35721:\"ACTIVE_ATTRIBUTES\",35722:\"ACTIVE_ATTRIBUTE_MAX_LENGTH\",35724:\"SHADING_LANGUAGE_VERSION\",35725:\"CURRENT_PROGRAM\",36003:\"STENCIL_BACK_REF\",36004:\"STENCIL_BACK_VALUE_MASK\",36005:\"STENCIL_BACK_WRITEMASK\",36006:\"FRAMEBUFFER_BINDING\",36007:\"RENDERBUFFER_BINDING\",36048:\"FRAMEBUFFER_ATTACHMENT_OBJECT_TYPE\",36049:\"FRAMEBUFFER_ATTACHMENT_OBJECT_NAME\",36050:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_LEVEL\",36051:\"FRAMEBUFFER_ATTACHMENT_TEXTURE_CUBE_MAP_FACE\",36053:\"FRAMEBUFFER_COMPLETE\",36054:\"FRAMEBUFFER_INCOMPLETE_ATTACHMENT\",36055:\"FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT\",36057:\"FRAMEBUFFER_INCOMPLETE_DIMENSIONS\",36061:\"FRAMEBUFFER_UNSUPPORTED\",36064:\"COLOR_ATTACHMENT0\",36096:\"DEPTH_ATTACHMENT\",36128:\"STENCIL_ATTACHMENT\",36160:\"FRAMEBUFFER\",36161:\"RENDERBUFFER\",36162:\"RENDERBUFFER_WIDTH\",36163:\"RENDERBUFFER_HEIGHT\",36164:\"RENDERBUFFER_INTERNAL_FORMAT\",36168:\"STENCIL_INDEX8\",36176:\"RENDERBUFFER_RED_SIZE\",36177:\"RENDERBUFFER_GREEN_SIZE\",36178:\"RENDERBUFFER_BLUE_SIZE\",36179:\"RENDERBUFFER_ALPHA_SIZE\",36180:\"RENDERBUFFER_DEPTH_SIZE\",36181:\"RENDERBUFFER_STENCIL_SIZE\",36194:\"RGB565\",36336:\"LOW_FLOAT\",36337:\"MEDIUM_FLOAT\",36338:\"HIGH_FLOAT\",36339:\"LOW_INT\",36340:\"MEDIUM_INT\",36341:\"HIGH_INT\",36346:\"SHADER_COMPILER\",36347:\"MAX_VERTEX_UNIFORM_VECTORS\",36348:\"MAX_VARYING_VECTORS\",36349:\"MAX_FRAGMENT_UNIFORM_VECTORS\",37440:\"UNPACK_FLIP_Y_WEBGL\",37441:\"UNPACK_PREMULTIPLY_ALPHA_WEBGL\",37442:\"CONTEXT_LOST_WEBGL\",37443:\"UNPACK_COLORSPACE_CONVERSION_WEBGL\",37444:\"BROWSER_DEFAULT_WEBGL\"}},5171:function(t,e,r){var 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worldPosition  = model * vec4(position, 1.0);\\n  worldPosition       = (worldPosition / worldPosition.w) + vec4(capSize * offset, 0.0);\\n  gl_Position         = projection * view * worldPosition;\\n  fragColor           = color;\\n  fragPosition        = position;\\n}\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float opacity;\\nvarying vec3 fragPosition;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], fragPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  gl_FragColor = opacity * fragColor;\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"offset\",type:\"vec3\"}])}},2260:function(t,e,r){\"use strict\";var n=r(7766);t.exports=function(t,e,r,n){i||(i=t.FRAMEBUFFER_UNSUPPORTED,a=t.FRAMEBUFFER_INCOMPLETE_ATTACHMENT,o=t.FRAMEBUFFER_INCOMPLETE_DIMENSIONS,s=t.FRAMEBUFFER_INCOMPLETE_MISSING_ATTACHMENT);var u=t.getExtension(\"WEBGL_draw_buffers\");if(!l&&u&&function(t,e){var r=t.getParameter(e.MAX_COLOR_ATTACHMENTS_WEBGL);l=new Array(r+1);for(var n=0;n<=r;++n){for(var i=new Array(r),a=0;a<n;++a)i[a]=t.COLOR_ATTACHMENT0+a;for(a=n;a<r;++a)i[a]=t.NONE;l[n]=i}}(t,u),Array.isArray(e)&&(n=r,r=0|e[1],e=0|e[0]),\"number\"!=typeof e)throw new Error(\"gl-fbo: Missing shape parameter\");var c=t.getParameter(t.MAX_RENDERBUFFER_SIZE);if(e<0||e>c||r<0||r>c)throw new 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c(t,e){t.bindFramebuffer(t.FRAMEBUFFER,e[0]),t.bindRenderbuffer(t.RENDERBUFFER,e[1]),t.bindTexture(t.TEXTURE_2D,e[2])}function f(t){switch(t){case i:throw new Error(\"gl-fbo: Framebuffer unsupported\");case a:throw new Error(\"gl-fbo: Framebuffer incomplete attachment\");case o:throw new Error(\"gl-fbo: Framebuffer incomplete dimensions\");case s:throw new Error(\"gl-fbo: Framebuffer incomplete missing attachment\");default:throw new Error(\"gl-fbo: Framebuffer failed for unspecified reason\")}}function h(t,e,r,i,a,o){if(!i)return null;var s=n(t,e,r,a,i);return s.magFilter=t.NEAREST,s.minFilter=t.NEAREST,s.mipSamples=1,s.bind(),t.framebufferTexture2D(t.FRAMEBUFFER,o,t.TEXTURE_2D,s.handle,0),s}function p(t,e,r,n,i){var a=t.createRenderbuffer();return t.bindRenderbuffer(t.RENDERBUFFER,a),t.renderbufferStorage(t.RENDERBUFFER,n,e,r),t.framebufferRenderbuffer(t.FRAMEBUFFER,i,t.RENDERBUFFER,a),a}function d(t,e,r,n,i,a,o,s){this.gl=t,this._shape=[0|e,0|r],this._destroyed=!1,this._ext=s,this.color=new Array(i);for(var d=0;d<i;++d)this.color[d]=null;this._color_rb=null,this.depth=null,this._depth_rb=null,this._colorType=n,this._useDepth=a,this._useStencil=o;var v=this,g=[0|e,0|r];Object.defineProperties(g,{0:{get:function(){return v._shape[0]},set:function(t){return v.width=t}},1:{get:function(){return v._shape[1]},set:function(t){return v.height=t}}}),this._shapeVector=g,function(t){var e=u(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,v=t._useDepth,g=t._colorType;r.bindFramebuffer(r.FRAMEBUFFER,n);for(var y=0;y<o;++y)t.color[y]=h(r,i,a,g,r.RGBA,r.COLOR_ATTACHMENT0+y);0===o?(t._color_rb=p(r,i,a,r.RGBA4,r.COLOR_ATTACHMENT0),s&&s.drawBuffersWEBGL(l[0])):o>1&&s.drawBuffersWEBGL(l[o]);var m=r.getExtension(\"WEBGL_depth_texture\");m?d?t.depth=h(r,i,a,m.UNSIGNED_INT_24_8_WEBGL,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v&&(t.depth=h(r,i,a,r.UNSIGNED_SHORT,r.DEPTH_COMPONENT,r.DEPTH_ATTACHMENT)):v&&d?t._depth_rb=p(r,i,a,r.DEPTH_STENCIL,r.DEPTH_STENCIL_ATTACHMENT):v?t._depth_rb=p(r,i,a,r.DEPTH_COMPONENT16,r.DEPTH_ATTACHMENT):d&&(t._depth_rb=p(r,i,a,r.STENCIL_INDEX,r.STENCIL_ATTACHMENT));var x=r.checkFramebufferStatus(r.FRAMEBUFFER);if(x!==r.FRAMEBUFFER_COMPLETE){for(t._destroyed=!0,r.bindFramebuffer(r.FRAMEBUFFER,null),r.deleteFramebuffer(t.handle),t.handle=null,t.depth&&(t.depth.dispose(),t.depth=null),t._depth_rb&&(r.deleteRenderbuffer(t._depth_rb),t._depth_rb=null),y=0;y<t.color.length;++y)t.color[y].dispose(),t.color[y]=null;t._color_rb&&(r.deleteRenderbuffer(t._color_rb),t._color_rb=null),c(r,e),f(x)}c(r,e)}(this)}var v=d.prototype;function g(t,e,r){if(t._destroyed)throw new Error(\"gl-fbo: Can't resize destroyed FBO\");if(t._shape[0]!==e||t._shape[1]!==r){var n=t.gl,i=n.getParameter(n.MAX_RENDERBUFFER_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-fbo: Can't resize FBO, invalid dimensions\");t._shape[0]=e,t._shape[1]=r;for(var a=u(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(),c(n,a),f(s)),c(n,a)}}Object.defineProperties(v,{shape:{get:function(){return this._destroyed?[0,0]:this._shapeVector},set:function(t){if(Array.isArray(t)||(t=[0|t,0|t]),2!==t.length)throw new Error(\"gl-fbo: Shape vector must be length 2\");var e=0|t[0],r=0|t[1];return g(this,e,r),[e,r]},enumerable:!1},width:{get:function(){return this._destroyed?0:this._shape[0]},set:function(t){return g(this,t|=0,this._shape[1]),t},enumerable:!1},height:{get:function(){return this._destroyed?0:this._shape[1]},set:function(t){return t|=0,g(this,this._shape[0],t),t},enumerable:!1}}),v.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])}},v.dispose=function(){if(!this._destroyed){this._destroyed=!0;var t=this.gl;t.deleteFramebuffer(this.handle),this.handle=null,this.depth&&(this.depth.dispose(),this.depth=null),this._depth_rb&&(t.deleteRenderbuffer(this._depth_rb),this._depth_rb=null);for(var e=0;e<this.color.length;++e)this.color[e].dispose(),this.color[e]=null;this._color_rb&&(t.deleteRenderbuffer(this._color_rb),this._color_rb=null)}}},2992:function(t,e,r){var n=r(3387).sprintf,i=r(5171),a=r(1848),o=r(1085);t.exports=function(t,e,r){\"use strict\";var s=a(e)||\"of unknown name (see npm glsl-shader-name)\",l=\"unknown type\";void 0!==r&&(l=r===i.FRAGMENT_SHADER?\"fragment\":\"vertex\");for(var u=n(\"Error compiling %s shader %s:\\n\",l,s),c=n(\"%s%s\",u,t),f=t.split(\"\\n\"),h={},p=0;p<f.length;p++){var d=f[p];if(\"\"!==d&&\"\\0\"!==d){var v=parseInt(d.split(\":\")[2]);if(isNaN(v))throw new Error(n(\"Could not parse error: %s\",d));h[v]=d}}var g=o(e).split(\"\\n\");for(p=0;p<g.length;p++)if((h[p+3]||h[p+2]||h[p+1])&&(u+=g[p]+\"\\n\",h[p+1])){var y=h[p+1];y=y.substr(y.split(\":\",3).join(\":\").length+1).trim(),u+=n(\"^^^ %s\\n\\n\",y)}return{long:u.trim(),short:c.trim()}}},2510:function(t,e,r){\"use strict\";t.exports=function(t,e){var r=t.gl,n=new u(t,o(r,l.vertex,l.fragment),o(r,l.pickVertex,l.pickFragment),s(r),s(r),s(r),s(r));return n.update(e),t.addObject(n),n};var n=r(2478),i=r(7762),a=r(1888),o=r(9405),s=r(2762),l=r(6768);function u(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 c,f=u.prototype,h=[0,0,1,0,0,1,1,0,1,1,0,1];f.draw=(c=[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],u=a[3]-a[1];c[0]=2*o/l,c[4]=2*s/u,c[6]=2*(r[0]-a[0])/l-1,c[7]=2*(r[1]-a[1])/u-1,e.bind();var f=e.uniforms;f.viewTransform=c,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,u=a[2]-a[0],c=a[3]-a[1],f=l[2]-l[0],h=l[3]-l[1];t[0]=2*u/f,t[4]=2*c/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 v=i.attributes;return this.positionBuffer.bind(),v.position.pointer(),this.weightBuffer.bind(),v.weight.pointer(s.UNSIGNED_BYTE,!1),this.idBuffer.bind(),v.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 u,c,f,p,d=t.colorLevels||[0],v=t.colorValues||[0,0,0,1],g=d.length,y=this.bounds;l?(u=y[0]=r[0],c=y[1]=o[0],f=y[2]=r[r.length-1],p=y[3]=o[o.length-1]):(u=y[0]=r[0]+(r[1]-r[0])/2,c=y[1]=o[0]+(o[1]-o[0])/2,f=y[2]=r[r.length-1]+(r[r.length-1]-r[r.length-2])/2,p=y[3]=o[o.length-1]+(o[o.length-1]-o[o.length-2])/2);var m=1/(f-u),x=1/(p-c),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,O;l?(P=x*(o[C]-c),O=x*(o[C+1]-c)):(P=C<_-1?x*(o[C]-(o[C+1]-o[C])/2-c):x*(o[C]-(o[C]-o[C-1])/2-c),O=C<_-1?x*(o[C]+(o[C+1]-o[C])/2-c):x*(o[C]+(o[C]-o[C-1])/2-c));for(var I=0;I<E;++I){var z,D;l?(z=m*(r[I]-u),D=m*(r[I+1]-u)):(z=I<b-1?m*(r[I]-(r[I+1]-r[I])/2-u):m*(r[I]-(r[I]-r[I-1])/2-u),D=I<b-1?m*(r[I]+(r[I+1]-r[I])/2-u):m*(r[I]+(r[I]-r[I-1])/2-u));for(var R=0;R<h.length;R+=2){var F,B,N,j,U=h[R],V=h[R+1],q=s[l?(C+V)*b+(I+U):C*b+I],H=n.le(d,q);if(H<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(H===g-1)F=v[4*g-4],B=v[4*g-3],N=v[4*g-2],j=v[4*g-1];else{var G=(q-d[H])/(d[H+1]-d[H]),W=1-G,Y=4*H,X=4*(H+1);F=W*v[Y]+G*v[X],B=W*v[Y+1]+G*v[X+1],N=W*v[Y+2]+G*v[X+2],j=W*v[Y+3]+G*v[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*O,A[2*S]=U,A[2*S+1]=V,M[S]=C*b+I,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)}},6768:function(t,e,r){\"use strict\";var n=r(3236);t.exports={fragment:n([\"precision lowp float;\\n#define GLSLIFY 1\\nvarying vec4 fragColor;\\nvoid main() {\\n  gl_FragColor = vec4(fragColor.rgb * fragColor.a, fragColor.a);\\n}\\n\"]),vertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 color;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  fragColor = color;\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"]),pickFragment:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nuniform vec2 shape;\\nuniform vec4 pickOffset;\\n\\nvoid main() {\\n  vec2 d = step(.5, vWeight);\\n  vec4 id = fragId + pickOffset;\\n  id.x += d.x + d.y*shape.x;\\n\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  gl_FragColor = id/255.;\\n}\\n\"]),pickVertex:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\nattribute vec2 weight;\\n\\nuniform vec2 shape;\\nuniform mat3 viewTransform;\\n\\nvarying vec4 fragId;\\nvarying vec2 vWeight;\\n\\nvoid main() {\\n  vWeight = weight;\\n\\n  fragId = pickId;\\n\\n  vec3 vPosition = viewTransform * vec3( position + (weight-.5)/(shape-1.) , 1.0);\\n  gl_Position = vec4(vPosition.xy, 0, vPosition.z);\\n}\\n\"])}},7319:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, nextPosition;\\nattribute float arcLength, lineWidth;\\nattribute vec4 color;\\n\\nuniform vec2 screenShape;\\nuniform float pixelRatio;\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 fragColor;\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  vec4 startPoint = project(position);\\n  vec4 endPoint   = project(nextPosition);\\n\\n  vec2 A = startPoint.xy / startPoint.w;\\n  vec2 B =   endPoint.xy /   endPoint.w;\\n\\n  float clipAngle = atan(\\n    (B.y - A.y) * screenShape.y,\\n    (B.x - A.x) * screenShape.x\\n  );\\n\\n  vec2 offset = 0.5 * pixelRatio * lineWidth * vec2(\\n    sin(clipAngle),\\n    -cos(clipAngle)\\n  ) / screenShape;\\n\\n  gl_Position = vec4(startPoint.xy + startPoint.w * offset, startPoint.zw);\\n\\n  worldPosition = position;\\n  pixelArcLength = arcLength;\\n  fragColor = color;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3      clipBounds[2];\\nuniform sampler2D dashTexture;\\nuniform float     dashScale;\\nuniform float     opacity;\\n\\nvarying vec3    worldPosition;\\nvarying float   pixelArcLength;\\nvarying vec4    fragColor;\\n\\nvoid main() {\\n  if (\\n    outOfRange(clipBounds[0], clipBounds[1], worldPosition) ||\\n    fragColor.a * opacity == 0.\\n  ) discard;\\n\\n  float dashWeight = texture2D(dashTexture, vec2(dashScale * pixelArcLength, 0)).r;\\n  if(dashWeight < 0.5) {\\n    discard;\\n  }\\n  gl_FragColor = fragColor * opacity;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\n#define FLOAT_MAX  1.70141184e38\\n#define FLOAT_MIN  1.17549435e-38\\n\\n// https://github.com/mikolalysenko/glsl-read-float/blob/master/index.glsl\\nvec4 packFloat(float v) {\\n  float av = abs(v);\\n\\n  //Handle special cases\\n  if(av < FLOAT_MIN) {\\n    return vec4(0.0, 0.0, 0.0, 0.0);\\n  } else if(v > FLOAT_MAX) {\\n    return vec4(127.0, 128.0, 0.0, 0.0) / 255.0;\\n  } else if(v < -FLOAT_MAX) {\\n    return vec4(255.0, 128.0, 0.0, 0.0) / 255.0;\\n  }\\n\\n  vec4 c = vec4(0,0,0,0);\\n\\n  //Compute exponent and mantissa\\n  float e = floor(log2(av));\\n  float m = av * pow(2.0, -e) - 1.0;\\n\\n  //Unpack mantissa\\n  c[1] = floor(128.0 * m);\\n  m -= c[1] / 128.0;\\n  c[2] = floor(32768.0 * m);\\n  m -= c[2] / 32768.0;\\n  c[3] = floor(8388608.0 * m);\\n\\n  //Unpack exponent\\n  float ebias = e + 127.0;\\n  c[0] = floor(ebias / 2.0);\\n  ebias -= c[0] * 2.0;\\n  c[1] += floor(ebias) * 128.0;\\n\\n  //Unpack sign bit\\n  c[0] += 128.0 * step(0.0, -v);\\n\\n  //Scale back to range\\n  return c / 255.0;\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform float pickId;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec3 worldPosition;\\nvarying float pixelArcLength;\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], worldPosition)) discard;\\n\\n  gl_FragColor = vec4(pickId/255.0, packFloat(pixelArcLength).xyz);\\n}\"]),l=[{name:\"position\",type:\"vec3\"},{name:\"nextPosition\",type:\"vec3\"},{name:\"arcLength\",type:\"float\"},{name:\"lineWidth\",type:\"float\"},{name:\"color\",type:\"vec4\"}];e.createShader=function(t){return i(t,a,o,null,l)},e.createPickShader=function(t){return i(t,a,s,null,l)}},5714:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl||t.scene&&t.scene.gl,r=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}]),c=u(new Array(1024),[256,1,4]),p=0;p<1024;++p)c.data[p]=255;var d=a(e,c);d.wrap=e.REPEAT;var v=new y(e,r,o,s,l,d);return v.update(t),v};var n=r(2762),i=r(8116),a=r(7766),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(2478),u=r(9618),c=r(7319),f=c.createShader,h=c.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 v(t){for(var e=[[-1e6,-1e6,-1e6],[1e6,1e6,1e6]],r=0;r<3;++r)e[0][r]=Math.max(t[0][r],e[0][r]),e[1][r]=Math.min(t[1][r],e[1][r]);return e}function g(t,e,r,n){this.arcLength=t,this.position=e,this.index=r,this.dataCoordinate=n}function y(t,e,r,n,i,a){this.gl=t,this.shader=e,this.pickShader=r,this.buffer=n,this.vao=i,this.clipBounds=[[-1/0,-1/0,-1/0],[1/0,1/0,1/0]],this.points=[],this.arcLength=[],this.vertexCount=0,this.bounds=[[0,0,0],[0,0,0]],this.pickId=0,this.lineWidth=1,this.texture=a,this.dashScale=1,this.opacity=1,this.hasAlpha=!1,this.dirty=!0,this.pixelRatio=1}var m=y.prototype;m.isTransparent=function(){return this.hasAlpha},m.isOpaque=function(){return!this.hasAlpha},m.pickSlots=1,m.setPickBase=function(t){this.pickId=t},m.drawTransparent=m.draw=function(t){if(this.vertexCount){var 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r=0,a=0,o=0;o<2;++o)r+=Math.pow(e[o]-t[0][o],2),a+=Math.pow(e[o]-t[1][o],2);return(r=Math.sqrt(r))+(a=Math.sqrt(a))<1e-6?[1,0]:[a/(r+a),r/(a+r)]}if(3===t.length){var s=[0,0];return i(t[0],t[1],t[2],e,s),n(t,s)}return[]}(c,e),y=0;for(f=0;f<3;++f){if(g[f]<-.001||g[f]>1.0001)return null;y+=g[f]}return Math.abs(y-1)>.001?null:[h,s(t,g),g]}},840:function(t,e,r){var n=r(3236),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position, normal;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model\\n           , view\\n           , projection\\n           , inverseModel;\\nuniform vec3 eyePosition\\n           , lightPosition;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvec4 project(vec3 p) {\\n  return projection * view * model * vec4(p, 1.0);\\n}\\n\\nvoid main() {\\n  gl_Position      = project(position);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * vec4(position , 1.0);\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal  = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  f_color          = color;\\n  f_data           = position;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha * cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\n//#pragma glslify: beckmann = require(glsl-specular-beckmann) // used in gl-surface3d\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness\\n            , fresnel\\n            , kambient\\n            , kdiffuse\\n            , kspecular;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal\\n           , f_lightDirection\\n           , f_eyeDirection\\n           , f_data;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (f_color.a == 0.0 ||\\n    outOfRange(clipBounds[0], clipBounds[1], f_data)\\n  ) discard;\\n\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  //float specular = max(0.0, beckmann(L, V, N, roughness)); // used in gl-surface3d\\n\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = vec4(f_color.rgb, 1.0) * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * f_color.a;\\n}\\n\"]),o=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\n\\nuniform mat4 model, view, projection;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  gl_Position = projection * view * model * vec4(position, 1.0);\\n  f_color = color;\\n  f_data  = position;\\n  f_uv    = uv;\\n}\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform sampler2D texture;\\nuniform float opacity;\\n\\nvarying vec4 f_color;\\nvarying vec3 f_data;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_data)) discard;\\n\\n  gl_FragColor = f_color * texture2D(texture, f_uv) * opacity;\\n}\"]),l=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 uv;\\nattribute float pointSize;\\n\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0.0, 0.0 ,0.0 ,0.0);\\n  } else {\\n    gl_Position = projection * view * model * vec4(position, 1.0);\\n  }\\n  gl_PointSize = pointSize;\\n  f_color = color;\\n  f_uv = uv;\\n}\"]),u=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}\"]),c=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\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.wireShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"}]},e.pointShader={vertex:l,fragment:u,attributes:[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"pointSize\",type:\"float\"}]},e.pickShader={vertex:c,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"id\",type:\"vec4\"}]},e.pointPickShader={vertex:h,fragment:f,attributes:[{name:\"position\",type:\"vec3\"},{name:\"pointSize\",type:\"float\"},{name:\"id\",type:\"vec4\"}]},e.contourShader={vertex:p,fragment:d,attributes:[{name:\"position\",type:\"vec3\"}]}},7201:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(8116),o=r(7766),s=r(8406),l=r(6760),u=r(7608),c=r(9618),f=r(6729),h=r(7765),p=r(1888),d=r(840),v=r(7626),g=d.meshShader,y=d.wireShader,m=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,u,c,f,h,p,d,v,g,y,m,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=c,this.triangleNormals=h,this.triangleUVs=f,this.triangleIds=u,this.triangleVAO=p,this.triangleCount=0,this.lineWidth=1,this.edgePositions=d,this.edgeColors=g,this.edgeUVs=y,this.edgeIds=v,this.edgeVAO=m,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.pointSize.location=4,e}function S(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function E(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function L(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}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 u=r[l],c=0;c<2;++c){var f=u[0];2===u.length&&(f=u[c]);for(var d=n[f][0],v=n[f][1],g=i[f],y=1-g,m=this.positions[d],x=this.positions[v],b=0;b<3;++b)o[s++]=g*m[b]+y*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 c(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=[],u=[],h=[],p=[],d=[],v=[],g=[],y=[],m=[],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,O=t.cellUVs,I=t.cellIntensity,z=1/0,D=-1/0;if(!C&&!O)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(I)if(t.cellIntensityBounds)z=+t.cellIntensityBounds[0],D=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[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||I||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=!(I||E);var B=t.pointSizes,N=t.pointSize||1;for(this.bounds=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],R=0;R<n.length;++R)for(var j=n[R],U=0;U<3;++U)!isNaN(j[U])&&isFinite(j[U])&&(this.bounds[0][U]=Math.min(this.bounds[0][U],j[U]),this.bounds[1][U]=Math.max(this.bounds[1][U],j[U]));var V=0,q=0,H=0;t:for(R=0;R<r.length;++R){var G=r[R];switch(G.length){case 1:for(j=n[Y=G[0]],U=0;U<3;++U)if(isNaN(j[U])||!isFinite(j[U]))continue t;y.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-z)/(D-z),this.opacityscale)):3===X.length?m.push(X[0],X[1],X[2],this.opacity):(m.push(X[0],X[1],X[2],X[3]*this.opacity),X[3]<1&&(this.hasAlpha=!0)),Z=C?C[Y]:P?[(P[Y]-z)/(D-z),0]:O?O[R]:I?[(I[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],x.push(Z[0],Z[1]),B?b.push(B[Y]):b.push(N),_.push(R),H+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),X=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-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[Y]:P?[(P[Y]-z)/(D-z),0]:O?O[R]:I?[(I[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],v.push(Z[0],Z[1]),g.push(R);q+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],W=0;W<3;++W)if(isNaN(j[W])||!isFinite(j[W]))continue t;for(U=0;U<3;++U){var Y,X,Z,K;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(X=S?S[Y]:E?E[R]:L)?this.opacityscale&&P?a.push(X[0],X[1],X[2],this.opacity*A((P[Y]-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[Y]:P?[(P[Y]-z)/(D-z),0]:O?O[R]:I?[(I[R]-z)/(D-z),0]:[(j[2]-z)/(D-z),0],u.push(Z[0],Z[1]),K=w?w[Y]:T[R],l.push(K[0],K[1],K[2]),h.push(R)}V+=1}}this.pointCount=H,this.edgeCount=q,this.triangleCount=V,this.pointPositions.update(y),this.pointColors.update(m),this.pointUVs.update(x),this.pointSizes.update(b),this.pointIds.update(new Uint32Array(_)),this.edgePositions.update(p),this.edgeColors.update(d),this.edgeUVs.update(v),this.edgeIds.update(new Uint32Array(g)),this.trianglePositions.update(i),this.triangleColors.update(a),this.triangleUVs.update(u),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=u(s.inverseModel,s.model),e.disable(e.CULL_FACE),this.texture.bind(0);var c=new Array(16);for(l(c,s.view,s.model),l(c,s.projection,c),u(c,c),o=0;o<3;++o)s.eyePosition[o]=c[12+o]/c[15];var f,h=c[15];for(o=0;o<3;++o)h+=this.lightPosition[o]*c[4*o+3];for(o=0;o<3;++o){for(var p=c[12+o],d=0;d<3;++d)p+=c[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]],u=this.positions[r[1]],c=this.positions[r[2]],f=[(l[0]+u[0]+c[0])/3,(l[1]+u[1]+c[1])/3,(l[2]+u[2]+c[2])/3];return{_cellCenter:!0,position:[o,s],index:e,cell:r,cellId:e,intensity:this.intensity[e],dataCoordinate:f}}var h=v(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()},t.exports=function(t,e){if(1===arguments.length&&(t=(e=t).gl),!(t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\")))throw new Error(\"derivatives not supported\");var r=function(t){var e=n(t,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}(t),s=function(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}(t),l=M(t),u=S(t),f=E(t),h=L(t),p=o(t,c(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),v=i(t),m=i(t),x=i(t),b=i(t),_=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:b,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:m,type:t.FLOAT,size:2},{buffer:x,type:t.FLOAT,size:3}]),w=i(t),k=i(t),A=i(t),C=i(t),P=a(t,[{buffer:w,type:t.FLOAT,size:3},{buffer:C,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:k,type:t.FLOAT,size:4},{buffer:A,type:t.FLOAT,size:2}]),O=i(t),I=i(t),z=i(t),D=i(t),R=i(t),F=a(t,[{buffer:O,type:t.FLOAT,size:3},{buffer:R,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:I,type:t.FLOAT,size:4},{buffer:z,type:t.FLOAT,size:2},{buffer:D,type:t.FLOAT,size:1}]),B=i(t),N=new T(t,p,r,s,l,u,f,h,d,b,v,m,x,_,w,C,k,A,P,O,R,I,z,D,F,B,a(t,[{buffer:B,type:t.FLOAT,size:3}]));return N.update(e),N}},8120:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[0,0,0,1,1,0,1,1]),i(e,a.boxVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawBox=(s=[0,0],l=[0,0],function(t,e,r,n,i){var a=this.plot,o=this.shader,u=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,u.drawArrays(u.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1913:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new s(t,n(e),i(e,o.gridVert,o.gridFrag),i(e,o.tickVert,o.gridFrag))};var n=r(2762),i=r(9405),a=r(2478),o=r(3603);function s(t,e,r,n){this.plot=t,this.vbo=e,this.shader=r,this.tickShader=n,this.ticks=[[],[]]}function l(t,e){return t-e}var u,c,f,h,p,d=s.prototype;d.draw=(u=[0,0],c=[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,v=0;v<2;++v){var g=a[v],y=a[v+2]-g,m=.5*(o[v+2]+o[v]),x=o[v+2]-o[v];c[v]=2*y/x,u[v]=2*(g-m)/x}r.bind(),e.bind(),r.attributes.dataCoord.pointer(),r.uniforms.dataShift=u,r.uniforms.dataScale=c;var b=0;for(v=0;v<2;++v){f[0]=f[1]=0,f[v]=1,r.uniforms.dataAxis=f,r.uniforms.lineWidth=l[v]/(s[v+2]-s[v])*d,r.uniforms.color=h[v];var _=6*n[v].length;p[v]&&_&&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,u=this.vbo,c=this.tickShader,f=this.ticks,h=s.gl,p=s._tickBounds,d=s.dataBox,v=s.viewBox,g=s.pixelRatio,y=s.screenBox,m=y[2]-y[0],x=y[3]-y[1],b=v[2]-v[0],_=v[3]-v[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/m,t[0]*=b/m,e[1]*=_/x,t[1]*=_/x,c.bind(),u.bind(),c.attributes.dataCoord.pointer();var S=c.uniforms;S.dataShift=t,S.dataScale=e;var E=s.tickMarkLength,L=s.tickMarkWidth,C=s.tickMarkColor,P=6*f[0].length,O=Math.min(a.ge(f[0],(d[0]-p[0])/(p[2]-p[0]),l),f[0].length),I=Math.min(a.gt(f[0],(d[2]-p[0])/(p[2]-p[0]),l),f[0].length),z=0+6*O,D=6*Math.max(0,I-O),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*(v[0]-E[1])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[1]*g/m,o[1]=L[1]*g/x,N&&(S.color=C[1],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[1]-E[0])/x-1,o[0]=L[0]*g/m,o[1]=E[0]*g/x,D&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D)),i[0]=2*(v[2]+E[3])/m-1,i[1]=(v[3]+v[1])/x-1,o[0]=E[3]*g/m,o[1]=L[3]*g/x,N&&(S.color=C[3],S.tickScale=o,S.dataAxis=n,S.screenOffset=i,h.drawArrays(h.TRIANGLES,B,N)),i[0]=(v[2]+v[0])/m-1,i[1]=2*(v[3]+E[2])/x-1,o[0]=L[2]*g/m,o[1]=E[2]*g/x,D&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,z,D))}}(),d.update=(h=[1,1,-1,-1,1,-1],p=[1,-1,1,1,-1,-1],function(t){for(var e=t.ticks,r=t.bounds,n=new Float32Array(18*(e[0].length+e[1].length)),i=(this.plot.zeroLineEnable,0),a=[[],[]],o=0;o<2;++o)for(var s=a[o],l=e[o],u=r[o],c=r[o+2],f=0;f<l.length;++f){var d=(l[f].x-u)/(c-u);s.push(d);for(var v=0;v<6;++v)n[i++]=d,n[i++]=h[v],n[i++]=p[v]}this.ticks=a,this.vbo.update(n)}),d.dispose=function(){this.vbo.dispose(),this.shader.dispose(),this.tickShader.dispose()}},4747:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new o(t,n(e,[-1,-1,-1,1,1,-1,1,1]),i(e,a.lineVert,a.lineFrag))};var n=r(2762),i=r(9405),a=r(3603);function o(t,e,r){this.plot=t,this.vbo=e,this.shader=r}var s,l,u=o.prototype;u.bind=function(){var t=this.shader;this.vbo.bind(),this.shader.bind(),t.attributes.coord.pointer(),t.uniforms.screenBox=this.plot.screenBox},u.drawLine=(s=[0,0],l=[0,0],function(t,e,r,n,i,a){var o=this.plot,u=this.shader,c=o.gl;s[0]=t,s[1]=e,l[0]=r,l[1]=n,u.uniforms.start=s,u.uniforms.end=l,u.uniforms.width=i*o.pixelRatio,u.uniforms.color=a,c.drawArrays(c.TRIANGLE_STRIP,0,4)}),u.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},3603:function(t,e,r){\"use strict\";var n=r(3236),i=n([\"precision lowp float;\\n#define GLSLIFY 1\\nuniform vec4 color;\\nvoid main() {\\n  gl_FragColor = vec4(color.xyz * color.w, color.w);\\n}\\n\"]);t.exports={lineVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 start, end;\\nuniform float width;\\n\\nvec2 perp(vec2 v) {\\n  return vec2(v.y, -v.x);\\n}\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  vec2 delta = normalize(perp(start - end));\\n  vec2 offset = mix(start, end, 0.5 * (coord.y+1.0));\\n  gl_Position = vec4(screen(offset + 0.5 * width * delta * coord.x), 0, 1);\\n}\\n\"]),lineFrag:i,textVert:n([\"#define GLSLIFY 1\\nattribute vec3 textCoordinate;\\n\\nuniform vec2 dataScale, dataShift, dataAxis, screenOffset, textScale;\\nuniform float angle;\\n\\nvoid main() {\\n  float dataOffset  = textCoordinate.z;\\n  vec2 glyphOffset  = textCoordinate.xy;\\n  mat2 glyphMatrix = mat2(cos(angle), sin(angle), -sin(angle), cos(angle));\\n  vec2 screenCoordinate = dataAxis * (dataScale * dataOffset + dataShift) +\\n    glyphMatrix * glyphOffset * textScale + screenOffset;\\n  gl_Position = vec4(screenCoordinate, 0, 1);\\n}\\n\"]),textFrag:i,gridVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale;\\nuniform float lineWidth;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  pos += 10.0 * dataCoord.y * vec2(dataAxis.y, -dataAxis.x) + dataCoord.z * lineWidth;\\n  gl_Position = vec4(pos, 0, 1);\\n}\\n\"]),gridFrag:i,boxVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 coord;\\n\\nuniform vec4 screenBox;\\nuniform vec2 lo, hi;\\n\\nvec2 screen(vec2 v) {\\n  return 2.0 * (v - screenBox.xy) / (screenBox.zw - screenBox.xy) - 1.0;\\n}\\n\\nvoid main() {\\n  gl_Position = vec4(screen(mix(lo, hi, coord)), 0, 1);\\n}\\n\"]),tickVert:n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec3 dataCoord;\\n\\nuniform vec2 dataAxis, dataShift, dataScale, screenOffset, tickScale;\\n\\nvoid main() {\\n  vec2 pos = dataAxis * (dataScale * dataCoord.x + dataShift);\\n  gl_Position = vec4(pos + tickScale*dataCoord.yz + screenOffset, 0, 1);\\n}\\n\"])}},2142:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl;return new l(t,n(e),i(e,s.textVert,s.textFrag))};var n=r(2762),i=r(9405),a=r(529),o=r(2478),s=r(3603);function l(t,e,r){this.plot=t,this.vbo=e,this.shader=r,this.tickOffset=[[],[]],this.tickX=[[],[]],this.labelOffset=[0,0],this.labelCount=[0,0]}var u,c,f,h,p,d,v=l.prototype;v.drawTicks=(u=[0,0],c=[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,v=e.tickPad,g=e.tickColor,y=e.tickAngle,m=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]);u[0]=u[1]=0,u[t]=1,c[t]=(s[2+t]+s[t])/(h[2+t]-h[t])-1;var M=2/h[2+(1^t)]-h[1^t];c[1^t]=M*s[1^t]-1,d[t]&&(c[1^t]-=M*p*v[t],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t],r.uniforms.angle=y[t],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t]&&T&&(c[1^t]-=M*p*x[t],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t],r.uniforms.angle=_[t],a.drawArrays(a.TRIANGLES,w,T)),c[1^t]=M*s[2+(1^t)]-1,d[t+2]&&(c[1^t]+=M*p*v[t+2],k<A&&i[A]>i[k]&&(r.uniforms.dataAxis=u,r.uniforms.screenOffset=c,r.uniforms.color=g[t+2],r.uniforms.angle=y[t+2],a.drawArrays(a.TRIANGLES,i[k],i[A]-i[k]))),m[t+2]&&T&&(c[1^t]+=M*p*x[t+2],r.uniforms.dataAxis=f,r.uniforms.screenOffset=c,r.uniforms.color=b[t+2],r.uniforms.angle=_[t+2],a.drawArrays(a.TRIANGLES,w,T))}),v.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,u=r.pixelRatio;if(this.titleCount){for(var c=0;c<2;++c)e[c]=2*(o[c]*u-a[c])/(a[2+c]-a[c])-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)}}}(),v.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,u=.5*(n[o+2]+n[o]),c=n[o+2]-n[o],f=a[o],v=a[o+2]-f,g=i[o],y=i[o+2]-g;p[o]=2*l/c*v/y,h[o]=2*(s-u)/c*v/y}d[1]=2*t.pixelRatio/(i[3]-i[1]),d[0]=d[1]*(i[3]-i[1])/(i[2]-i[0]),e.uniforms.dataScale=p,e.uniforms.dataShift=h,e.uniforms.textScale=d,this.vbo.bind(),e.attributes.textCoordinate.pointer()}),v.update=function(t){var e,r,n,i,o,s=[],l=t.ticks,u=t.bounds;for(o=0;o<2;++o){var c=[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,v=p.text,g=p.font||\"sans-serif\",y=p.fontStyle||\"normal\",m=p.fontWeight||\"normal\",x=p.fontVariant||\"normal\";i=p.fontSize||12;for(var b=1/(u[o+2]-u[o]),_=u[o],w=v.split(\"\\n\"),T=0;T<w.length;T++)for(n=a(g,w[T],{fontStyle:y,fontWeight:m,fontVariant:x}).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-T*i*1.2,(d-_)*b);c.push(Math.floor(s.length/3)),f.push(d)}this.tickOffset[o]=c,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],{fontStyle:t.labelFontStyle[o],fontWeight:t.labelFontWeight[o],fontVariant:t.labelFontVariant[o],textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title,{fontStyle:t.titleFontStyle,fontWeight:t.titleFontWeight,fontVariant:t.titleFontVariant}).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},1850:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=new l(e,n(e,[e.drawingBufferWidth,e.drawingBufferHeight]));return r.grid=i(r),r.text=a(r),r.line=o(r),r.box=s(r),r.update(t),r};var n=r(3589),i=r(1913),a=r(2142),o=r(4747),s=r(8120);function l(t,e){this.gl=t,this.pickBuffer=e,this.screenBox=[0,0,t.drawingBufferWidth,t.drawingBufferHeight],this.viewBox=[0,0,0,0],this.dataBox=[-10,-10,10,10],this.gridLineEnable=[!0,!0],this.gridLineWidth=[1,1],this.gridLineColor=[[0,0,0,1],[0,0,0,1]],this.pixelRatio=1,this.tickMarkLength=[0,0,0,0],this.tickMarkWidth=[0,0,0,0],this.tickMarkColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[15,15,15,15],this.tickAngle=[0,0,0,0],this.tickEnable=[!0,!0,!0,!0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[15,15,15,15],this.labelAngle=[0,Math.PI/2,0,3*Math.PI/2],this.labelEnable=[!0,!0,!0,!0],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.titleCenter=[0,0],this.titleEnable=!0,this.titleAngle=0,this.titleColor=[0,0,0,1],this.borderColor=[0,0,0,0],this.backgroundColor=[0,0,0,0],this.zeroLineEnable=[!0,!0],this.zeroLineWidth=[4,4],this.zeroLineColor=[[0,0,0,1],[0,0,0,1]],this.borderLineEnable=[!0,!0,!0,!0],this.borderLineWidth=[2,2,2,2],this.borderLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.grid=null,this.text=null,this.line=null,this.box=null,this.objects=[],this.overlays=[],this._tickBounds=[1/0,1/0,-1/0,-1/0],this.static=!1,this.dirty=!1,this.pickDirty=!1,this.pickDelay=120,this.pickRadius=10,this._pickTimeout=null,this._drawPick=this.drawPick.bind(this),this._depthCounter=0}var u=l.prototype;function c(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}u.setDirty=function(){this.dirty=this.pickDirty=!0},u.setOverlayDirty=function(){this.dirty=!0},u.nextDepthValue=function(){return this._depthCounter++/65536},u.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 u=this.borderColor;t.clearColor(u[0]*u[3],u[1]*u[3],u[2]*u[3],u[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 c=this.backgroundColor;t.clearColor(c[0]*c[3],c[1]*c[3],c[2]*c[3],c[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 v=e[d]-n[d]*(e[d+2]-e[d])/(n[d+2]-n[d]);0===d?o.drawLine(v,e[1],v,e[3],p[d],h[d]):o.drawLine(e[0],v,e[2],v,p[d],h[d])}}for(d=0;d<l.length;++d)l[d].draw();t.viewport(e[0],e[1],e[2]-e[0],e[3]-e[1]),t.scissor(e[0],e[1],e[2]-e[0],e[3]-e[1]),this.grid.drawTickMarks(),o.bind();var g=this.borderLineEnable,y=this.borderLineWidth,m=this.borderLineColor;for(g[1]&&o.drawLine(r[0],r[1]-.5*y[1]*i,r[0],r[3]+.5*y[3]*i,y[1],m[1]),g[0]&&o.drawLine(r[0]-.5*y[0]*i,r[1],r[2]+.5*y[2]*i,r[1],y[0],m[0]),g[3]&&o.drawLine(r[2],r[1]-.5*y[1]*i,r[2],r[3]+.5*y[3]*i,y[3],m[3]),g[2]&&o.drawLine(r[0]-.5*y[0]*i,r[3],r[2]+.5*y[2]*i,r[3],y[2],m[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)}},u.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()}},u.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),u=this.objects,c=0;c<u.length;++c){var f=u[c].pick(a,o,l);if(f)return f}return null}},u.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()},u.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())},u.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()},u.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=c(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=c(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=c(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=c(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=c(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=c(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\"],labelFontStyle:t.labelFontStyle||[\"normal\",\"normal\"],labelFontWeight:t.labelFontWeight||[\"normal\",\"normal\"],labelFontVariant:t.labelFontVariant||[\"normal\",\"normal\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\",titleFontStyle:t.titleFontStyle||\"normal\",titleFontWeight:t.titleFontWeight||\"normal\",titleFontVariant:t.titleFontVariant||\"normal\"}),this.static=!!t.static,this.setDirty()},u.dispose=function(){this.box.dispose(),this.grid.dispose(),this.text.dispose(),this.line.dispose();for(var t=this.objects.length-1;t>=0;--t)this.objects[t].dispose();for(this.objects.length=0,t=this.overlays.length-1;t>=0;--t)this.overlays[t].dispose();this.overlays.length=0,this.gl=null},u.addObject=function(t){this.objects.indexOf(t)<0&&(this.objects.push(t),this.setDirty())},u.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}},u.addOverlay=function(t){this.overlays.indexOf(t)<0&&(this.overlays.push(t),this.setOverlayDirty())},u.removeOverlay=function(t){for(var e=this.overlays,r=0;r<e.length;++r)if(e[r]===t){e.splice(r,1),this.setOverlayDirty();break}}},4437:function(t,e,r){\"use strict\";t.exports=function(t,e){t=t||document.body;var r=[.01,1/0];\"distanceLimits\"in(e=e||{})&&(r[0]=e.distanceLimits[0],r[1]=e.distanceLimits[1]),\"zoomMin\"in e&&(r[0]=e.zoomMin),\"zoomMax\"in e&&(r[1]=e.zoomMax);var u=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}),c=[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:u,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:u.modes,_ortho:e._ortho||e.projection&&\"orthographic\"===e.projection.type||!1,tick:function(){var e=n(),r=this.delay,i=e-2*r;u.idle(e-r),u.recalcMatrix(i),u.flush(e-(100+2*r));for(var a=!0,o=u.computedMatrix,s=0;s<16;++s)a=a&&c[s]===o[s],c[s]=o[s];var l=t.clientWidth===h&&t.clientHeight===p;return h=t.clientWidth,p=t.clientHeight,a?!l:(f=Math.exp(u.computedRadius[0]),!0)},lookAt:function(t,e,r){u.lookAt(u.lastT(),t,e,r)},rotate:function(t,e,r){u.rotate(u.lastT(),t,e,r)},pan:function(t,e,r){u.pan(u.lastT(),t,e,r)},translate:function(t,e,r){u.translate(u.lastT(),t,e,r)}};return Object.defineProperties(d,{matrix:{get:function(){return u.computedMatrix},set:function(t){return u.setMatrix(u.lastT(),t),u.computedMatrix},enumerable:!0},mode:{get:function(){return u.getMode()},set:function(t){var e=u.computedUp.slice(),r=u.computedEye.slice(),i=u.computedCenter.slice();if(u.setMode(t),\"turntable\"===t){var a=n();u._active.lookAt(a,r,i,e),u._active.lookAt(a+500,r,i,[0,0,1]),u._active.flush(a)}return u.getMode()},enumerable:!0},center:{get:function(){return u.computedCenter},set:function(t){return u.lookAt(u.lastT(),null,t),u.computedCenter},enumerable:!0},eye:{get:function(){return u.computedEye},set:function(t){return u.lookAt(u.lastT(),t),u.computedEye},enumerable:!0},up:{get:function(){return u.computedUp},set:function(t){return u.lookAt(u.lastT(),null,null,t),u.computedUp},enumerable:!0},distance:{get:function(){return f},set:function(t){return u.setDistance(u.lastT(),t),t},enumerable:!0},distanceLimits:{get:function(){return u.getDistanceLimits(r)},set:function(t){return u.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,c=\"zoom\"===o,h=!!a.control,p=!!a.alt,v=!!a.shift,g=!!(1&e),y=!!(2&e),m=!!(4&e),x=1/t.clientHeight,b=x*(r-d._lastX),_=x*(i-d._lastY),w=d.flipX?1:-1,T=d.flipY?1:-1,k=Math.PI*d.rotateSpeed,A=n();if(-1!==d._lastX&&-1!==d._lastY&&((s&&g&&!h&&!p&&!v||g&&!h&&!p&&v)&&u.rotate(A,w*k*b,-T*k*_,0),(l&&g&&!h&&!p&&!v||y||g&&h&&!p&&!v)&&u.pan(A,-d.translateSpeed*b*f,d.translateSpeed*_*f,0),c&&g&&!h&&!p&&!v||m||g&&!h&&p&&!v)){var M=-d.zoomSpeed*_/window.innerHeight*(A-u.lastT())*100;u.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))u.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-u.lastT())/20;u.pan(a,0,0,f*(Math.exp(o)-1))}}}),!0)},d.enableMouseListeners(),d};var n=r(3025),i=r(6296),a=r(351),o=r(8512),s=r(24),l=r(7520)},799:function(t,e,r){var n=r(3236),i=r(9405),a=n([\"precision mediump float;\\n#define GLSLIFY 1\\nattribute vec2 position;\\nvarying vec2 uv;\\nvoid main() {\\n  uv = position;\\n  gl_Position = vec4(position, 0, 1);\\n}\"]),o=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform sampler2D accumBuffer;\\nvarying vec2 uv;\\n\\nvoid main() {\\n  vec4 accum = texture2D(accumBuffer, 0.5 * (uv + 1.0));\\n  gl_FragColor = min(vec4(1,1,1,1), accum);\\n}\"]);t.exports=function(t){return i(t,a,o,null,[{name:\"position\",type:\"vec2\"}])}},4100:function(t,e,r){\"use strict\";var n=r(4437),i=r(3837),a=r(5445),o=r(4449),s=r(3589),l=r(2260),u=r(7169),c=r(351),f=r(4772),h=r(4040),p=r(799),d=r(9216)({tablet:!0,featureDetect:!0});function v(){this.mouse=[-1,-1],this.screen=null,this.distance=1/0,this.index=null,this.dataCoordinate=null,this.dataPosition=null,this.object=null,this.data=null}function g(t){var e=Math.round(Math.log(Math.abs(t))/Math.log(10));if(e<0){var r=Math.round(Math.pow(10,-e));return Math.ceil(t*r)/r}return e>0?(r=Math.round(Math.pow(10,e)),Math.ceil(t/r)*r):Math.ceil(t)}function y(t){return\"boolean\"!=typeof t||t}t.exports={createScene:function(t){(t=t||{}).camera=t.camera||{};var e=t.canvas;e||(e=document.createElement(\"canvas\"),t.container?t.container.appendChild(e):document.body.appendChild(e));var r=t.gl;if(r||(t.glOptions&&(d=!!t.glOptions.preserveDrawingBuffer),r=function(t,e){var r=null;try{(r=t.getContext(\"webgl\",e))||(r=t.getContext(\"experimental-webgl\",e))}catch(t){return null}return r}(e,t.glOptions||{premultipliedAlpha:!0,antialias:!0,preserveDrawingBuffer:d})),!r)throw new Error(\"webgl not supported\");var m=t.bounds||[[-10,-10,-10],[10,10,10]],x=new v,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=[],O=!0,I=!0,z={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},D=(I=!0,[r.drawingBufferWidth,r.drawingBufferHeight]),R=t.cameraObject||n(e,T),F={gl:r,contextLost:!1,pixelRatio:t.pixelRatio||1,canvas:e,selection:x,camera:R,axes:A,axesPixels:null,spikes:S,bounds:m,objects:E,shape:D,aspect:t.aspectRatio||[1,1,1],pickRadius:t.pickRadius||10,zNear:t.zNear||.01,zFar:t.zFar||1e3,fovy:t.fovy||Math.PI/4,clearColor:t.clearColor||[0,0,0,0],autoResize:y(t.autoResize),autoBounds:y(t.autoBounds),autoScale:!!t.autoScale,autoCenter:y(t.autoCenter),clipToBounds:y(t.clipToBounds),snapToData:!!t.snapToData,onselect:t.onselect||null,onrender:t.onrender||null,onclick:t.onclick||null,cameraParams:z,oncontextloss:null,mouseListener:null,_stopped:!1,getAspectratio:function(){return{x:this.aspect[0],y:this.aspect[1],z:this.aspect[2]}},setAspectratio:function(t){this.aspect[0]=t.x,this.aspect[1]=t.y,this.aspect[2]=t.z,I=!0},setBounds:function(t,e){this.bounds[0][t]=e.min,this.bounds[1][t]=e.max},setClearColor:function(t){this.clearColor=t},clearRGBA:function(){this.gl.clearColor(this.clearColor[0],this.clearColor[1],this.clearColor[2],this.clearColor[3]),this.gl.clear(this.gl.COLOR_BUFFER_BIT|this.gl.DEPTH_BUFFER_BIT)}},B=[r.drawingBufferWidth/F.pixelRatio|0,r.drawingBufferHeight/F.pixelRatio|0];function N(){if(!F._stopped&&F.autoResize){var t=e.parentNode,r=1,n=1;t&&t!==document.body?(r=t.clientWidth,n=t.clientHeight):(r=window.innerWidth,n=window.innerHeight);var i=0|Math.ceil(r*F.pixelRatio),a=0|Math.ceil(n*F.pixelRatio);if(i!==e.width||a!==e.height){e.width=i,e.height=a;var o=e.style;o.position=o.position||\"absolute\",o.left=\"0px\",o.top=\"0px\",o.width=r+\"px\",o.height=n+\"px\",O=!0}}}function j(){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,D);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 U(){if(F.contextLost)return!0;r.isContextLost()&&(F.contextLost=!0,F.mouseListener.enabled=!1,F.selection.object=null,F.oncontextloss&&F.oncontextloss())}F.autoResize&&N(),window.addEventListener(\"resize\",N),F.update=function(t){F._stopped||(t=t||{},O=!0,I=!0)},F.add=function(t){F._stopped||(t.axes=A,E.push(t),L.push(-1),O=!0,I=!0,j())},F.remove=function(t){if(!F._stopped){var e=E.indexOf(t);e<0||(E.splice(e,1),L.pop(),O=!0,I=!0,j())}},F.dispose=function(){if(!F._stopped&&(F._stopped=!0,window.removeEventListener(\"resize\",N),e.removeEventListener(\"webglcontextlost\",U),F.mouseListener.enabled=!1,!F.contextLost)){A.dispose(),S.dispose();for(var t=0;t<E.length;++t)E[t].dispose();for(b.dispose(),t=0;t<P.length;++t)P[t].dispose();_.dispose(),r=null,A=null,S=null,E=[]}},F._mouseRotating=!1,F._prevButtons=0,F.enableMouseListeners=function(){F.mouseListener=c(e,(function(t,e,r){if(!F._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&&F._prevButtons)F._mouseRotating=!0;else{F._mouseRotating&&(I=!0),F._mouseRotating=!1;for(var s=0;s<n;++s){var l=P[s].query(e,B[1]-r-1,F.pickRadius);if(l){if(l.distance>x.distance)continue;for(var u=0;u<i;++u){var c=E[u];if(L[u]===s){var f=c.pick(l);f&&(x.buttons=t,x.screen=l.coord,x.distance=l.distance,x.object=c,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),O=!0),x.object&&(x.object.highlight&&x.object.highlight(x.data),O=!0),(o=o||x.object!==a)&&F.onselect&&F.onselect(x),1&t&&!(1&F._prevButtons)&&F.onclick&&F.onclick(x),F._prevButtons=t}}))},e.addEventListener(\"webglcontextlost\",U);var V=[[1/0,1/0,1/0],[-1/0,-1/0,-1/0]],q=[V[0].slice(),V[1].slice()];function H(){if(!U()){N();var t=F.camera.tick();z.view=F.camera.matrix,O=O||t,I=I||t,A.pixelRatio=F.pixelRatio,S.pixelRatio=F.pixelRatio;var e=E.length,n=V[0],i=V[1];n[0]=n[1]=n[2]=1/0,i[0]=i[1]=i[2]=-1/0;for(var o=0;o<e;++o){(C=E[o]).pixelRatio=F.pixelRatio,C.axes=F.axes,O=O||!!C.dirty,I=I||!!C.dirty;var s=C.bounds;if(s)for(var l=s[0],c=s[1],p=0;p<3;++p)n[p]=Math.min(n[p],l[p]),i[p]=Math.max(i[p],c[p])}var d=F.bounds;if(F.autoBounds)for(p=0;p<3;++p){if(i[p]<n[p])n[p]=-1,i[p]=1;else{n[p]===i[p]&&(n[p]-=1,i[p]+=1);var v=.05*(i[p]-n[p]);n[p]=n[p]-v,i[p]=i[p]+v}d[0][p]=n[p],d[1][p]=i[p]}var y=!1;for(p=0;p<3;++p)y=y||q[0][p]!==d[0][p]||q[1][p]!==d[1][p],q[0][p]=d[0][p],q[1][p]=d[1][p];if(I=I||y,O=O||y){if(y){var m=[0,0,0];for(o=0;o<3;++o)m[o]=g((d[1][o]-d[0][o])/10);A.autoTicks?A.update({bounds:d,tickSpacing:m}):A.update({bounds:d})}var T=r.drawingBufferWidth,k=r.drawingBufferHeight;for(D[0]=T,D[1]=k,B[0]=0|Math.max(T/F.pixelRatio,1),B[1]=0|Math.max(k/F.pixelRatio,1),function(t,e){var r=t.bounds,n=t.cameraParams,i=n.projection,a=n.model,o=t.gl.drawingBufferWidth,s=t.gl.drawingBufferHeight,l=t.zNear,u=t.zFar,c=t.fovy,p=o/s;e?(h(i,-p,p,-1,1,l,u),n._ortho=!0):(f(i,c,p,l,u),n._ortho=!1);for(var d=0;d<16;++d)a[d]=0;a[15]=1;var v=0;for(d=0;d<3;++d)v=Math.max(v,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/v,t.autoCenter&&(a[12+d]=.5*-a[5*d]*(r[0][d]+r[1][d]))}(F,w),o=0;o<e;++o)(C=E[o]).axesBounds=d,F.clipToBounds&&(C.clipBounds=d);x.object&&(F.snapToData?S.position=x.dataCoordinate:S.position=x.dataPosition,S.bounds=d),I&&(I=!1,function(){if(!U()){r.colorMask(!0,!0,!0,!0),r.depthMask(!0),r.disable(r.BLEND),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL);for(var t=E.length,e=P.length,n=0;n<e;++n){var i=P[n];i.shape=B,i.begin();for(var a=0;a<t;++a)if(L[a]===n){var o=E[a];o.drawPick&&(o.pixelRatio=1,o.drawPick(z))}i.end()}}}()),F.axesPixels=a(F.axes,z,T,k),F.onrender&&F.onrender(),r.bindFramebuffer(r.FRAMEBUFFER,null),r.viewport(0,0,T,k),F.clearRGBA(),r.depthMask(!0),r.colorMask(!0,!0,!0,!0),r.enable(r.DEPTH_TEST),r.depthFunc(r.LEQUAL),r.disable(r.BLEND),r.disable(r.CULL_FACE);var M=!1;for(A.enable&&(M=M||A.isTransparent(),A.draw(z)),S.axes=A,x.object&&S.draw(z),r.disable(r.CULL_FACE),o=0;o<e;++o)(C=E[o]).axes=A,C.pixelRatio=F.pixelRatio,C.isOpaque&&C.isOpaque()&&C.draw(z),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=D,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(z),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(z);for(r.enable(r.BLEND),r.blendEquation(r.FUNC_ADD),r.blendFunc(r.ONE,r.ONE_MINUS_SRC_ALPHA),r.colorMask(!0,!0,!0,!0),r.depthMask(!1),r.clearColor(0,0,0,0),r.clear(r.COLOR_BUFFER_BIT),A.isTransparent()&&A.drawTransparent(z),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(z)}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,u(r),r.disable(r.BLEND)}for(O=!1,o=0;o<e;++o)E[o].dirty=!1}}}return F.enableMouseListeners(),function t(){F._stopped||F.contextLost||(H(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,H())},F},createCamera:n}},6640:function(t,e,r){var n=r(3236);e.pointVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform float pointCloud;\\n\\nhighp float rand(vec2 co) {\\n  highp float a = 12.9898;\\n  highp float b = 78.233;\\n  highp float c = 43758.5453;\\n  highp float d = dot(co.xy, vec2(a, b));\\n  highp float e = mod(d, 3.14);\\n  return fract(sin(e) * c);\\n}\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n    // if we don't jitter the point size a bit, overall point cloud\\n    // saturation 'jumps' on zooming, which is disturbing and confusing\\n  gl_PointSize = pointSize * ((19.5 + rand(position)) / 20.0);\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    // get the same square surface as circle would be\\n    gl_PointSize *= 0.886;\\n  }\\n}\"]),e.pointFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nuniform vec4 color, borderColor;\\nuniform float centerFraction;\\nuniform float pointCloud;\\n\\nvoid main() {\\n  float radius;\\n  vec4 baseColor;\\n  if(pointCloud != 0.0) { // pointCloud is truthy\\n    if(centerFraction == 1.0) {\\n      gl_FragColor = color;\\n    } else {\\n      gl_FragColor = mix(borderColor, color, centerFraction);\\n    }\\n  } else {\\n    radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n    if(radius > 1.0) {\\n      discard;\\n    }\\n    baseColor = mix(borderColor, color, step(radius, centerFraction));\\n    gl_FragColor = vec4(baseColor.rgb * baseColor.a, baseColor.a);\\n  }\\n}\\n\"]),e.pickVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 position;\\nattribute vec4 pickId;\\n\\nuniform mat3 matrix;\\nuniform float pointSize;\\nuniform vec4 pickOffset;\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  vec3 hgPosition = matrix * vec3(position, 1);\\n  gl_Position  = vec4(hgPosition.xy, 0, hgPosition.z);\\n  gl_PointSize = pointSize;\\n\\n  vec4 id = pickId + pickOffset;\\n  id.y += floor(id.x / 256.0);\\n  id.x -= floor(id.x / 256.0) * 256.0;\\n\\n  id.z += floor(id.y / 256.0);\\n  id.y -= floor(id.y / 256.0) * 256.0;\\n\\n  id.w += floor(id.z / 256.0);\\n  id.z -= floor(id.z / 256.0) * 256.0;\\n\\n  fragId = id;\\n}\\n\"]),e.pickFragment=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragId;\\n\\nvoid main() {\\n  float radius = length(2.0 * gl_PointCoord.xy - 1.0);\\n  if(radius > 1.0) {\\n    discard;\\n  }\\n  gl_FragColor = fragId / 255.0;\\n}\\n\"])},4696:function(t,e,r){\"use strict\";var n=r(9405),i=r(2762),a=r(1888),o=r(6640);function s(t,e,r,n,i){this.plot=t,this.offsetBuffer=e,this.pickBuffer=r,this.shader=n,this.pickShader=i,this.sizeMin=.5,this.sizeMinCap=2,this.sizeMax=20,this.areaRatio=1,this.pointCount=0,this.color=[1,0,0,1],this.borderColor=[0,0,0,1],this.blend=!1,this.pickOffset=0,this.points=null}t.exports=function(t,e){var r=t.gl,a=new s(t,i(r),i(r),n(r,o.pointVertex,o.pointFragment),n(r,o.pickVertex,o.pickFragment));return a.update(e),t.addObject(a),a};var l,u,c=s.prototype;c.dispose=function(){this.shader.dispose(),this.pickShader.dispose(),this.offsetBuffer.dispose(),this.pickBuffer.dispose(),this.plot.removeObject(this)},c.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),u=o?t.idToIndex:a.mallocInt32(n);if(i||l.set(s),!o)for(l.set(s),e=0;e<n;e++)u[e]=e;this.points=s,this.offsetBuffer.update(l),this.pickBuffer.update(u),i||a.free(l),o||a.free(u),this.pointCount=n,this.pickOffset=0},c.unifiedDraw=(l=[1,0,0,0,1,0,0,0,1],u=[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),c=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=c<5,r.uniforms.pointSize=c,r.uniforms.centerFraction=Math.min(1,Math.max(0,Math.sqrt(1-this.areaRatio))),e&&(u[0]=255&t,u[1]=t>>8&255,u[2]=t>>16&255,u[3]=t>>24&255,this.pickBuffer.bind(),r.attributes.pickId.pointer(n.UNSIGNED_BYTE),r.uniforms.pickOffset=u,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}),c.draw=c.unifiedDraw,c.drawPick=c.unifiedDraw,c.pick=function(t,e,r){var n=this.pickOffset,i=this.pointCount;if(r<n||r>=n+i)return null;var a=r-n,o=this.points;return{object:this,pointId:a,dataCoord:[o[2*a],o[2*a+1]]}}},783:function(t){t.exports=function(t,e,r,n){var i,a,o,s,l,u=e[0],c=e[1],f=e[2],h=e[3],p=r[0],d=r[1],v=r[2],g=r[3];return(a=u*p+c*d+f*v+h*g)<0&&(a=-a,p=-p,d=-d,v=-v,g=-g),1-a>1e-6?(i=Math.acos(a),o=Math.sin(i),s=Math.sin((1-n)*i)/o,l=Math.sin(n*i)/o):(s=1-n,l=n),t[0]=s*u+l*p,t[1]=s*c+l*d,t[2]=s*f+l*v,t[3]=s*h+l*g,t}},5964:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},9366:function(t,e,r){\"use strict\";var n=r(4359);t.exports=function(t,e,r){var a=[e.style,e.weight,e.variant,e.family].join(\"_\"),o=i[a];if(o||(o=i[a]={}),t in o)return o[t];var s={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e.family,fontStyle:e.style,fontWeight:e.weight,fontVariant:e.variant,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},l=n(t,s);s.triangles=!1;var u,c,f=n(t,s);if(r&&1!==r){for(u=0;u<l.positions.length;++u)for(c=0;c<l.positions[u].length;++c)l.positions[u][c]/=r;for(u=0;u<f.positions.length;++u)for(c=0;c<f.positions[u].length;++c)f.positions[u][c]/=r}var h=[[1/0,1/0],[-1/0,-1/0]],p=f.positions.length;for(u=0;u<p;++u){var d=f.positions[u];for(c=0;c<2;++c)h[0][c]=Math.min(h[0][c],d[c]),h[1][c]=Math.max(h[1][c],d[c])}return o[t]=[l,f,h]};var i={}},1283:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform vec4 highlightId;\\nuniform float highlightScale;\\nuniform mat4 model, view, projection;\\nuniform vec3 clipBounds[2];\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = 1.0;\\n    if(distance(highlightId, id) < 0.0001) {\\n      scale = highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1);\\n    vec4 viewPosition = view * worldPosition;\\n    viewPosition = viewPosition / viewPosition.w;\\n    vec4 clipPosition = projection * (viewPosition + scale * vec4(glyph.x, -glyph.y, 0, 0));\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),o=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float highlightScale, pixelRatio;\\nuniform vec4 highlightId;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float scale = pixelRatio;\\n    if(distance(highlightId.bgr, id.bgr) < 0.001) {\\n      scale *= highlightScale;\\n    }\\n\\n    vec4 worldPosition = model * vec4(position, 1.0);\\n    vec4 viewPosition = view * worldPosition;\\n    vec4 clipPosition = projection * viewPosition;\\n    clipPosition /= clipPosition.w;\\n\\n    gl_Position = clipPosition + vec4(screenSize * scale * vec2(glyph.x, -glyph.y), 0.0, 0.0);\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = position;\\n  }\\n}\"]),s=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nattribute vec3 position;\\nattribute vec4 color;\\nattribute vec2 glyph;\\nattribute vec4 id;\\n\\nuniform float highlightScale;\\nuniform vec4 highlightId;\\nuniform vec3 axes[2];\\nuniform mat4 model, view, projection;\\nuniform vec2 screenSize;\\nuniform vec3 clipBounds[2];\\nuniform float scale, pixelRatio;\\n\\nvarying vec4 interpColor;\\nvarying vec4 pickId;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], position)) {\\n\\n    gl_Position = vec4(0,0,0,0);\\n  } else {\\n    float lscale = pixelRatio * scale;\\n    if(distance(highlightId, id) < 0.0001) {\\n      lscale *= highlightScale;\\n    }\\n\\n    vec4 clipCenter   = projection * view * model * vec4(position, 1);\\n    vec3 dataPosition = position + 0.5*lscale*(axes[0] * glyph.x + axes[1] * glyph.y) * clipCenter.w * screenSize.y;\\n    vec4 clipPosition = projection * view * model * vec4(dataPosition, 1);\\n\\n    gl_Position = clipPosition;\\n    interpColor = color;\\n    pickId = id;\\n    dataCoordinate = dataPosition;\\n  }\\n}\\n\"]),l=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 fragClipBounds[2];\\nuniform float opacity;\\n\\nvarying vec4 interpColor;\\nvarying vec3 dataCoordinate;\\n\\nvoid main() {\\n  if (\\n    outOfRange(fragClipBounds[0], fragClipBounds[1], dataCoordinate) ||\\n    interpColor.a * opacity == 0.\\n  ) discard;\\n  gl_FragColor = interpColor * opacity;\\n}\\n\"]),u=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}\"]),c=[{name:\"position\",type:\"vec3\"},{name:\"color\",type:\"vec4\"},{name:\"glyph\",type:\"vec2\"},{name:\"id\",type:\"vec4\"}],f={vertex:a,fragment:l,attributes:c},h={vertex:o,fragment:l,attributes:c},p={vertex:s,fragment:l,attributes:c},d={vertex:a,fragment:u,attributes:c},v={vertex:o,fragment:u,attributes:c},g={vertex:s,fragment:u,attributes:c};function y(t,e){var r=n(t,e),i=r.attributes;return i.position.location=0,i.color.location=1,i.glyph.location=2,i.id.location=3,r}e.createPerspective=function(t){return y(t,f)},e.createOrtho=function(t){return y(t,h)},e.createProject=function(t){return y(t,p)},e.createPickPerspective=function(t){return y(t,d)},e.createPickOrtho=function(t){return y(t,v)},e.createPickProject=function(t){return y(t,g)}},8418:function(t,e,r){\"use strict\";var n=r(5219),i=r(2762),a=r(8116),o=r(1888),s=r(6760),l=r(1283),u=r(9366),c=r(5964),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 v(t){return!0===t||t>1?1:t}function g(t,e,r,n,i,a,o,s,l,u,c,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=u,this.pickOrthoShader=c,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}t.exports=function(t){var e=t.gl,r=l.createPerspective(e),n=l.createOrtho(e),o=l.createProject(e),s=l.createPickPerspective(e),u=l.createPickOrtho(e),c=l.createPickProject(e),f=i(e),h=i(e),p=i(e),d=i(e),v=new g(e,r,n,o,f,h,p,d,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}]),s,u,c);return v.update(t),v};var y=g.prototype;y.pickSlots=1,y.setPickBase=function(t){this.pickId=t},y.isTransparent=function(){if(this.hasAlpha)return!0;for(var t=0;t<3;++t)if(this.axesProject[t]&&this.projectHasAlpha)return!0;return!1},y.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 m=[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}var L=[[-1e8,-1e8,-1e8],[1e8,1e8,1e8]];function C(t,e,r,n,i,a,o){var l=r.gl;if((a===r.projectHasAlpha||o)&&function(t,e,r,n){var i,a=e.axesProject,o=e.gl,l=t.uniforms,u=r.model||f,c=r.view||f,h=r.projection||f,d=e.axesBounds,v=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],m[0]=2/o.drawingBufferWidth,m[1]=2/o.drawingBufferHeight,t.bind(),l.view=c,l.projection=h,l.screenSize=m,l.highlightId=e.highlightId,l.highlightScale=e.highlightScale,l.clipBounds=v,l.pickGroup=e.pickId/255,l.pixelRatio=n;for(var g=0;g<3;++g)if(a[g]){l.scale=e.projectScale[g],l.opacity=e.projectOpacity[g];for(var y=T,L=0;L<16;++L)y[L]=0;for(L=0;L<4;++L)y[5*L]=1;y[5*g]=0,i[g]<0?y[12+g]=d[0][g]:y[12+g]=d[1][g],s(y,u,y),l.model=y;var C=(g+1)%3,P=(g+2)%3,O=M(x),I=M(b);O[C]=1,I[P]=1;var z=p(0,0,0,S(_,O)),D=p(0,0,0,S(w,I));if(Math.abs(z[1])>Math.abs(D[1])){var R=z;z=D,D=R,R=O,O=I,I=R;var F=C;C=P,P=F}z[0]<0&&(O[C]=-1),D[1]>0&&(I[P]=-1);var B=0,N=0;for(L=0;L<4;++L)B+=Math.pow(u[4*C+L],2),N+=Math.pow(u[4*P+L],2);O[C]/=Math.sqrt(B),I[P]/=Math.sqrt(N),l.axes[0]=O,l.axes[1]=I,l.fragClipBounds[0]=E(k,v[0],g,-1e8),l.fragClipBounds[1]=E(k,v[1],g,1e8),e.vao.bind(),e.vao.draw(o.TRIANGLES,e.vertexCount),e.lineWidth>0&&(o.lineWidth(e.lineWidth*n),e.vao.draw(o.LINES,e.lineVertexCount,e.vertexCount)),e.vao.unbind()}}(e,r,n,i),a===r.hasAlpha||o){t.bind();var u=t.uniforms;u.model=n.model||f,u.view=n.view||f,u.projection=n.projection||f,m[0]=2/l.drawingBufferWidth,m[1]=2/l.drawingBufferHeight,u.screenSize=m,u.highlightId=r.highlightId,u.highlightScale=r.highlightScale,u.fragClipBounds=L,u.clipBounds=r.axes.bounds,u.opacity=r.opacity,u.pickGroup=r.pickId/255,u.pixelRatio=i,r.vao.bind(),r.vao.draw(l.TRIANGLES,r.vertexCount),r.lineWidth>0&&(l.lineWidth(r.lineWidth*i),r.vao.draw(l.LINES,r.lineVertexCount,r.vertexCount)),r.vao.unbind()}}function P(t,e,r,i){var a;a=Array.isArray(t)?e<t.length?t[e]:void 0:t,a=c(a);var 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float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting 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* cos2Alpha;\\n  return exp(tan2Alpha / roughness2) / denom;\\n}\\n\\nfloat cookTorranceSpecular(\\n  vec3 lightDirection,\\n  vec3 viewDirection,\\n  vec3 surfaceNormal,\\n  float roughness,\\n  float fresnel) {\\n\\n  float VdotN = max(dot(viewDirection, surfaceNormal), 0.0);\\n  float LdotN = max(dot(lightDirection, surfaceNormal), 0.0);\\n\\n  //Half angle vector\\n  vec3 H = normalize(lightDirection + viewDirection);\\n\\n  //Geometric term\\n  float NdotH = max(dot(surfaceNormal, H), 0.0);\\n  float VdotH = max(dot(viewDirection, H), 0.000001);\\n  float LdotH = max(dot(lightDirection, H), 0.000001);\\n  float G1 = (2.0 * NdotH * VdotN) / VdotH;\\n  float G2 = (2.0 * NdotH * LdotN) / LdotH;\\n  float G = min(1.0, min(G1, G2));\\n  \\n  //Distribution term\\n  float D = beckmannDistribution(NdotH, roughness);\\n\\n  //Fresnel term\\n  float F = pow(1.0 - VdotN, fresnel);\\n\\n  //Multiply terms and done\\n  return  G * F * D / max(3.14159265 * VdotN, 0.000001);\\n}\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3 clipBounds[2];\\nuniform float roughness, fresnel, kambient, kdiffuse, kspecular, opacity;\\nuniform sampler2D texture;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n  vec3 N = normalize(f_normal);\\n  vec3 L = normalize(f_lightDirection);\\n  vec3 V = normalize(f_eyeDirection);\\n\\n  if(gl_FrontFacing) {\\n    N = -N;\\n  }\\n\\n  float specular = min(1.0, max(0.0, cookTorranceSpecular(L, V, N, roughness, fresnel)));\\n  float diffuse  = min(kambient + kdiffuse * max(dot(N, L), 0.0), 1.0);\\n\\n  vec4 surfaceColor = f_color * texture2D(texture, f_uv);\\n  vec4 litColor = surfaceColor.a * vec4(diffuse * surfaceColor.rgb + kspecular * vec3(1,1,1) * specular,  1.0);\\n\\n  gl_FragColor = litColor * opacity;\\n}\\n\"]),o=n([\"precision highp float;\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nvec3 getOrthogonalVector(vec3 v) {\\n  // Return up-vector for only-z vector.\\n  // Return ax + by + cz = 0, a point that lies on the plane that has v as a normal and that isn't (0,0,0).\\n  // From the above if-statement we have ||a|| > 0  U  ||b|| > 0.\\n  // Assign z = 0, x = -b, y = a:\\n  // a*-b + b*a + c*0 = -ba + ba + 0 = 0\\n  if (v.x*v.x > v.z*v.z || v.y*v.y > v.z*v.z) {\\n    return normalize(vec3(-v.y, v.x, 0.0));\\n  } else {\\n    return normalize(vec3(0.0, v.z, -v.y));\\n  }\\n}\\n\\n// Calculate the tube vertex and normal at the given index.\\n//\\n// The returned vertex is for a tube ring with its center at origin, radius of length(d), pointing in the direction of d.\\n//\\n// Each tube segment is made up of a ring of vertices.\\n// These vertices are used to make up the triangles of the tube by connecting them together in the vertex array.\\n// The indexes of tube segments run from 0 to 8.\\n//\\nvec3 getTubePosition(vec3 d, float index, out vec3 normal) {\\n  float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 position;\\nattribute vec4 id;\\n\\nuniform mat4 model, view, projection;\\nuniform float tubeScale;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  gl_Position = projection * view * tubePosition;\\n  f_id        = id;\\n  f_position  = position.xyz;\\n}\\n\"]),s=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nbool outOfRange(float a, float b, float p) {\\n  return ((p > max(a, b)) || \\n          (p < min(a, b)));\\n}\\n\\nbool outOfRange(vec2 a, vec2 b, vec2 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y));\\n}\\n\\nbool outOfRange(vec3 a, vec3 b, vec3 p) {\\n  return (outOfRange(a.x, b.x, p.x) ||\\n          outOfRange(a.y, b.y, p.y) ||\\n          outOfRange(a.z, b.z, p.z));\\n}\\n\\nbool outOfRange(vec4 a, vec4 b, vec4 p) {\\n  return outOfRange(a.xyz, b.xyz, p.xyz);\\n}\\n\\nuniform vec3  clipBounds[2];\\nuniform float pickId;\\n\\nvarying vec3 f_position;\\nvarying vec4 f_id;\\n\\nvoid main() {\\n  if (outOfRange(clipBounds[0], clipBounds[1], f_position)) discard;\\n\\n  gl_FragColor = vec4(pickId, f_id.xyz);\\n}\"]);e.meshShader={vertex:i,fragment:a,attributes:[{name:\"position\",type:\"vec4\"},{name:\"color\",type:\"vec4\"},{name:\"uv\",type:\"vec2\"},{name:\"vector\",type:\"vec4\"}]},e.pickShader={vertex:o,fragment:s,attributes:[{name:\"position\",type:\"vec4\"},{name:\"id\",type:\"vec4\"},{name:\"vector\",type:\"vec4\"}]}},7815:function(t,e,r){\"use strict\";var n=r(2931),i=r(9970),a=[\"xyz\",\"xzy\",\"yxz\",\"yzx\",\"zxy\",\"zyx\"],o=function(t,e){var r,n=t.length;for(r=0;r<n;r++){var i=t[r];if(i===e)return r;if(i>e)return r-1}return r},s=function(t,e,r){return t<e?e:t>r?r:t},l=function(t){var e=1/0;t.sort((function(t,e){return t-e}));for(var r=t.length,n=1;n<r;n++){var i=Math.abs(t[n]-t[n-1]);i<e&&(e=i)}return e};t.exports=function(t,e){var r=t.startingPositions,u=t.maxLength||1e3,c=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,l=t[0],u=t[1],c=t[2],f=a[0].length,h=a[1].length,p=a[2].length,d=o(a[0],l),v=o(a[1],u),g=o(a[2],c),y=d+1,m=v+1,x=g+1;if(d=s(d,0,f-1),y=s(y,0,f-1),v=s(v,0,h-1),m=s(m,0,h-1),g=s(g,0,p-1),x=s(x,0,p-1),d<0||v<0||g<0||y>f-1||m>h-1||x>p-1)return n.create();var b,_,w,T,k,A,M=a[0][d],S=a[0][y],E=a[1][v],L=a[1][m],C=a[2][g],P=(l-M)/(S-M),O=(u-E)/(L-E),I=(c-C)/(a[2][x]-C);switch(isFinite(P)||(P=.5),isFinite(O)||(O=.5),isFinite(I)||(I=.5),r.reversedX&&(d=f-1-d,y=f-1-y),r.reversedY&&(v=h-1-v,m=h-1-m),r.reversedZ&&(g=p-1-g,x=p-1-x),r.filled){case 5:k=g,A=x,w=v*p,T=m*p,b=d*p*h,_=y*p*h;break;case 4:k=g,A=x,b=d*p,_=y*p,w=v*p*f,T=m*p*f;break;case 3:w=v,T=m,k=g*h,A=x*h,b=d*h*p,_=y*h*p;break;case 2:w=v,T=m,b=d*h,_=y*h,k=g*h*f,A=x*h*f;break;case 1:b=d,_=y,k=g*f,A=x*f,w=v*f*p,T=m*f*p;break;default:b=d,_=y,w=v*f,T=m*f,k=g*f*h,A=x*f*h}var z=i[b+w+k],D=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),q=n.create(),H=n.create(),G=n.create();n.lerp(V,z,B,P),n.lerp(q,D,N,P),n.lerp(H,R,j,P),n.lerp(G,F,U,P);var W=n.create(),Y=n.create();n.lerp(W,V,H,O),n.lerp(Y,q,G,O);var X=n.create();return n.lerp(X,W,Y,I),X}(e,t,p)},v=t.getDivergence||function(t,e){var r=n.create(),i=1e-4;n.add(r,t,[i,0,0]);var a=d(r);n.subtract(a,a,e),n.scale(a,a,1/i),n.add(r,t,[0,i,0]);var o=d(r);n.subtract(o,o,e),n.scale(o,o,1/i),n.add(r,t,[0,0,i]);var s=d(r);return n.subtract(s,s,e),n.scale(s,s,1/i),n.add(r,a,o),n.add(r,r,s),r},g=[],y=e[0][0],m=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<y||e>b||r<m||r>_||n<x||n>w)},k=10*n.distance(e[0],e[1])/u,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,u=0;u<s;u++){var c=t[u],f=c[0],h=c[1],p=c[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=l(e),v=l(r),g=l(n),y=Math.min(d,v,g);return isFinite(y)?y:1}(r));for(var L=0;L<E;L++){var C=n.create();n.copy(C,r[L]);var P=[C],O=[],I=d(C),z=C;O.push(I);var D=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),D.push(F),g.push({points:P,velocities:O,divergences:D});for(var B=0;B<100*u&&P.length<u&&T(C);){B++;var N=n.clone(I),j=n.squaredLength(N);if(0===j)break;j>A&&n.scale(N,N,k/Math.sqrt(j)),n.add(N,N,C),I=d(N),n.squaredDistance(z,N)-A>-1e-4*A&&(P.push(N),z=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),D.push(F)),C=N}}var U=function(t,e,r,a){for(var o=0,s=0;s<t.length;s++)for(var l=t[s].velocities,u=0;u<l.length;u++)o=Math.max(o,n.length(l[u]));var c=t.map((function(t){return function(t,e,r,a){for(var o=t.points,s=t.velocities,l=t.divergences,u=[],c=[],f=[],h=[],p=[],d=[],v=0,g=0,y=i.create(),m=i.create(),x=0;x<o.length;x++){var b=o[x],_=s[x],w=l[x];0===e&&(w=.05*r),g=n.length(_)/a,y=i.create(),n.copy(y,_),y[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;u.push(h[T],p[T],p[k],p[k],h[k],h[T]),f.push(m,y,y,y,m,m),d.push(v,g,g,g,v,v);var A=u.length;c.push([A-6,A-5,A-4],[A-3,A-2,A-1])}var M=h;h=p,p=M;var S=m;m=y,y=S;var E=v;v=g,g=E}return{positions:u,cells:c,vectors:f,vertexIntensity:d}}(t,r,a,o)})),f=[],h=[],p=[],d=[];for(s=0;s<c.length;s++){var v=c[s],g=f.length;for(f=f.concat(v.positions),p=p.concat(v.vectors),d=d.concat(v.vertexIntensity),u=0;u<v.cells.length;u++){var y=v.cells[u],m=[];h.push(m);for(var x=0;x<y.length;x++)m.push(y[x]+g)}}return{positions:f,cells:h,vectors:p,vertexIntensity:d,colormap:e}}(g,t.colormap,S,M);return f?U.tubeScale=f:(0===S&&(S=1),U.tubeScale=.5*c*M/S),U};var u=r(6740),c=r(6405).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:\"streamtube\"})}},990:function(t,e,r){var n=r(9405),i=r(3236),a=i([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec4 uv;\\nattribute vec3 f;\\nattribute vec3 normal;\\n\\nuniform vec3 objectOffset;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 lightPosition, eyePosition;\\nuniform sampler2D colormap;\\n\\nvarying float value, kill;\\nvarying vec3 worldCoordinate;\\nvarying vec2 planeCoordinate;\\nvarying vec3 lightDirection, eyeDirection, surfaceNormal;\\nvarying vec4 vColor;\\n\\nvoid main() {\\n  vec3 localCoordinate = vec3(uv.zw, f.x);\\n  worldCoordinate = objectOffset + localCoordinate;\\n  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 — 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\"]);e.createShader=function(t){var e=n(t,a,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createPickShader=function(t){var e=n(t,a,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"vec3\"},{name:\"normal\",type:\"vec3\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e.attributes.normal.location=2,e},e.createContourShader=function(t){var e=n(t,s,o,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e},e.createPickContourShader=function(t){var e=n(t,s,l,null,[{name:\"uv\",type:\"vec4\"},{name:\"f\",type:\"float\"}]);return e.attributes.uv.location=0,e.attributes.f.location=1,e}},9499:function(t,e,r){\"use strict\";t.exports=function(t){var e=t.gl,r=m(e),n=b(e),s=x(e),l=_(e),u=i(e),c=a(e,[{buffer:u,size:4,stride:w,offset:0},{buffer:u,size:3,stride:w,offset:16},{buffer:u,size:3,stride:w,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}]),v=o(e,1,S,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new E(e,[0,0],[[0,0,0],[0,0,0]],r,n,u,c,v,s,l,f,h,p,d,[0,0,0]),y={levels:[[],[],[]]};for(var T in t)y[T]=t[T];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(8828),i=r(2762),a=r(8116),o=r(7766),s=r(1888),l=r(6729),u=r(5298),c=r(9994),f=r(9618),h=r(3711),p=r(6760),d=r(7608),v=r(2478),g=r(6199),y=r(990),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=40,T=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],k=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],A=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function M(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}!function(){for(var t=0;t<3;++t){var e=A[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=256;function E(t,e,r,n,i,a,o,l,u,c,h,p,d,v,g){this.gl=t,this.shape=e,this.bounds=r,this.objectOffset=g,this.intensityBounds=[],this._shader=n,this._pickShader=i,this._coordinateBuffer=a,this._vao=o,this._colorMap=l,this._contourShader=u,this._contourPickShader=c,this._contourBuffer=h,this._contourVAO=p,this._contourOffsets=[[],[],[]],this._contourCounts=[[],[],[]],this._vertexCount=0,this._pickResult=new M([0,0,0],[0,0],[0,0],[0,0,0],[0,0,0]),this._dynamicBuffer=d,this._dynamicVAO=v,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 L=E.prototype;L.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:S,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},L.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},L.isOpaque=function(){return!this.isTransparent()},L.pickSlots=1,L.setPickBase=function(t){this.pickId=t};var C=[0,0,0],P={showSurface:!1,showContour:!1,projections:[T.slice(),T.slice(),T.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function O(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||C,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=P.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=P.clipBounds[r];for(i=0;i<2;++i)for(n=0;n<3;++n)u[i][n]=t.clipBounds[i][n];u[0][r]=-1e8,u[1][r]=1e8}return P.showSurface=o,P.showContour=s,P}var I={model:T,view:T,projection:T,inverseModel:T.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},z=T.slice(),D=[1,0,0,0,1,0,0,0,1];function R(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=I;n.model=t.model||T,n.view=t.view||T,n.projection=t.projection||T,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=D,n.vertexColor=this.vertexColor;var s=z;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 u=s[12+i];for(o=0;o<3;++o)u+=s[4*o+i]*this.lightPosition[o];n.lightPosition[i]=u/l}var c=O(n,this);if(c.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=c.projections[i],this._shader.uniforms.clipBounds=c.clipBounds[i],this._vao.draw(r.TRIANGLES,this._vertexCount));this._vao.unbind()}if(c.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=A[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=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=A[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var v=0;v<this.contourLevels[o].length;++v)v===this.highlightLevel[o]?(f.uniforms.contourColor=this.highlightColor[o],f.uniforms.contourTint=this.highlightTint[o]):0!==v&&v-1!==this.highlightLevel[o]||(f.uniforms.contourColor=this.contourColor[o],f.uniforms.contourTint=this.contourTint[o]),this._contourCounts[o][v]&&(f.uniforms.height=this.contourLevels[o][v],h.draw(r.LINES,this._contourCounts[o][v],this._contourOffsets[o][v]))}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=A[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=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}L.draw=function(t){return R.call(this,t,!1)},L.drawTransparent=function(t){return R.call(this,t,!0)};var F={model:T,view:T,projection:T,inverseModel:T,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function B(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function N(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function j(t){if(Array.isArray(t)){if(Array.isArray(t))return[N(t[0]),N(t[1]),N(t[2])];var e=N(t);return[e.slice(),e.slice(),e.slice()]}}L.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=F;r.model=t.model||T,r.view=t.view||T,r.projection=t.projection||T,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=D;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=O(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=A[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=A[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var u=0;u<this.contourLevels[a].length;++u)this._contourCounts[a][u]&&(s.uniforms.height=this.contourLevels[a][u],l.draw(e.LINES,this._contourCounts[a][u],this._contourOffsets[a][u]))}l.unbind()}},L.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,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 u=r.position;u[0]=u[1]=u[2]=0;for(var c=0;c<2;++c)for(var f=c?a:1-a,h=0;h<2;++h)for(var p=i+c,d=s+h,g=f*(h?l:1-l),y=0;y<3;++y)u[y]+=this._field[y].get(p,d)*g;for(var m=this._pickResult.level,x=0;x<3;++x)if(m[x]=v.le(this.contourLevels[x],u[x]),m[x]<0)this.contourLevels[x].length>0&&(m[x]=0);else if(m[x]<this.contourLevels[x].length-1){var b=this.contourLevels[x][m[x]],_=this.contourLevels[x][m[x]+1];Math.abs(b-u[x])>Math.abs(_-u[x])&&(m[x]+=1)}for(r.index[0]=a<.5?i:i+1,r.index[1]=l<.5?s:s+1,r.uv[0]=n/e[0],r.uv[1]=o/e[1],y=0;y<3;++y)r.dataCoordinate[y]=this._field[y].get(r.index[0],r.index[1]);return r},L.padField=function(t,e){var r=e.shape.slice(),n=t.shape.slice();u.assign(t.lo(1,1).hi(r[0],r[1]),e),u.assign(t.lo(1).hi(r[0],1),e.hi(r[0],1)),u.assign(t.lo(1,n[1]-1).hi(r[0],1),e.lo(0,r[1]-1).hi(r[0],1)),u.assign(t.lo(0,1).hi(1,r[1]),e.hi(1)),u.assign(t.lo(n[0]-1,1).hi(1,r[1]),e.lo(r[0]-1)),t.set(0,0,e.get(0,0)),t.set(0,n[1]-1,e.get(0,r[1]-1)),t.set(n[0]-1,0,e.get(r[0]-1,0)),t.set(n[0]-1,n[1]-1,e.get(r[0]-1,r[1]-1))},L.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=B(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=B(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=B(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=j(t.contourColor)),\"contourProject\"in t&&(this.contourProject=B(t.contourProject,(function(t){return B(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=j(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=B(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=B(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"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 u=l[o];for(y=0;y<2;++y)if(u.shape[y]!==a[y])throw new Error(\"gl-surface: coords have incorrect shape\");this.padField(this._field[o],u)}}else if(t.ticks){var c=t.ticks;if(!Array.isArray(c)||2!==c.length)throw new Error(\"gl-surface: invalid ticks\");for(o=0;o<2;++o){var p=c[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 v=[0,0];v[o]=1,this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2],v,0)}this._field[0].set(0,0,0);for(var y=0;y<a[0];++y)this._field[0].set(y+1,0,y);for(this._field[0].set(a[0]+1,0,a[0]-1),this._field[1].set(0,0,0),y=0;y<a[1];++y)this._field[1].set(0,y+1,y);this._field[1].set(0,a[1]+1,a[1]-1)}var m=this._field,x=f(s.mallocFloat(3*m[2].size*2),[3,a[0]+2,a[1]+2,2]);for(o=0;o<3;++o)g(x.pick(o),m[o],\"mirror\");var b=f(s.mallocFloat(3*m[2].size),[a[0]+2,a[1]+2,3]);for(o=0;o<a[0]+2;++o)for(y=0;y<a[1]+2;++y){var _=x.get(0,o,y,0),w=x.get(0,o,y,1),T=x.get(1,o,y,0),A=x.get(1,o,y,1),M=x.get(2,o,y,0),S=x.get(2,o,y,1),E=T*S-A*M,L=M*w-S*_,C=_*A-w*T,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,y,0,E*P),b.set(o,y,1,L*P),b.set(o,y,2,C*P)}s.free(x.data);var O=[1/0,1/0,1/0],I=[-1/0,-1/0,-1/0],z=1/0,D=-1/0,R=(a[0]-1)*(a[1]-1)*6,F=s.mallocFloat(n.nextPow2(10*R)),N=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var q=0;q<2;++q)for(var H=0;H<3;++H){var G=this._field[H].get(1+o+V,1+y+q);if(isNaN(G)||!isFinite(G))continue t}for(H=0;H<6;++H){var W=o+k[H][0],Y=y+k[H][1],X=this._field[0].get(W+1,Y+1),Z=this._field[1].get(W+1,Y+1);G=this._field[2].get(W+1,Y+1),E=b.get(W+1,Y+1,0),L=b.get(W+1,Y+1,1),C=b.get(W+1,Y+1,2),t.intensity&&(K=t.intensity.get(W,Y));var K=t.intensity?t.intensity.get(W,Y):G+this.objectOffset[2];F[N++]=W,F[N++]=Y,F[N++]=X,F[N++]=Z,F[N++]=G,F[N++]=0,F[N++]=K,F[N++]=E,F[N++]=L,F[N++]=C,O[0]=Math.min(O[0],X+this.objectOffset[0]),O[1]=Math.min(O[1],Z+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),z=Math.min(z,K),I[0]=Math.max(I[0],X+this.objectOffset[0]),I[1]=Math.max(I[1],Z+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),D=Math.max(D,K),U+=1}}for(t.intensityBounds&&(z=+t.intensityBounds[0],D=+t.intensityBounds[1]),o=6;o<N;o+=10)F[o]=(F[o]-z)/(D-z);this._vertexCount=U,this._coordinateBuffer.update(F.subarray(0,N)),s.freeFloat(F),s.free(b.data),this.bounds=[O,I],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 J=t.levels;for(J=Array.isArray(J[0])?J.slice():[[],[],J],o=0;o<3;++o)J[o]=J[o].slice(),J[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<J[o].length;++y)J[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(J[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<J[o].length;++y)if(J[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=J}if(r){m=this._field,a=this.shape;for(var $=[],Q=0;Q<3;++Q){var tt=this.contourLevels[Q],et=[],rt=[],nt=[0,0,0];for(o=0;o<tt.length;++o){var it=h(this._field[Q],tt[o]);et.push($.length/5|0),U=0;t:for(y=0;y<it.cells.length;++y){var at=it.cells[y];for(H=0;H<2;++H){var ot=it.positions[at[H]],st=ot[0],lt=0|Math.floor(st),ut=st-lt,ct=ot[1],ft=0|Math.floor(ct),ht=ct-ft,pt=!1;e:for(var dt=0;dt<3;++dt){nt[dt]=0;var vt=(Q+dt+1)%3;for(V=0;V<2;++V){var gt=V?ut:1-ut;for(W=0|Math.min(Math.max(lt+V,0),a[0]),q=0;q<2;++q){var yt=q?ht:1-ht;if(Y=0|Math.min(Math.max(ft+q,0),a[1]),G=dt<2?this._field[vt].get(W,Y):(this.intensity.get(W,Y)-this.intensityBounds[0])/(this.intensityBounds[1]-this.intensityBounds[0]),!isFinite(G)||isNaN(G)){pt=!0;break e}var mt=gt*yt;nt[dt]+=mt*G}}}if(pt){if(H>0){for(var xt=0;xt<5;++xt)$.pop();U-=1}continue t}$.push(nt[0],nt[1],ot[0],ot[1],nt[2]),U+=1}}rt.push(U)}this._contourOffsets[Q]=et,this._contourCounts[Q]=rt}var bt=s.mallocFloat($.length);for(o=0;o<$.length;++o)bt[o]=$[o];this._contourBuffer.update(bt),s.freeFloat(bt)}},L.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},L.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,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,u=(o+2)%3,c=this._field[o],f=this._field[l],p=this._field[u],d=h(c,r[o]),v=d.cells,g=d.positions;for(this._dynamicOffsets[o]=n,e=0;e<v.length;++e)for(var y=v[e],m=0;m<2;++m){var x=g[y[m]],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,O=T*L,I=T*E,z=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),D=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(z)||isNaN(D)){m&&(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)}}},7766:function(t,e,r){\"use strict\";var n=r(9618),i=r(5298),a=r(1888);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||function(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}(t),\"number\"==typeof arguments[1])return g(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return g(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=u(e)?e:e.raw;if(r)return function(t,e,r,n,i,a){var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new h(t,o,r,n,i,a)}(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return function(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=d(o,e.stride.slice()),u=0;\"float32\"===r?u=t.FLOAT:\"float64\"===r?(u=t.FLOAT,l=!1,r=\"float32\"):\"uint8\"===r?u=t.UNSIGNED_BYTE:(u=t.UNSIGNED_BYTE,l=!1,r=\"uint8\");var f,p,g=0;if(2===o.length)g=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])g=t.ALPHA;else if(2===o[2])g=t.LUMINANCE_ALPHA;else if(3===o[2])g=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}}u!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)f=0===e.offset&&e.data.length===y?e.data:e.data.subarray(e.offset,e.offset+y);else{var m=[o[2],o[2]*o[0],1];p=a.malloc(y,r);var x=n(p,o,m,0);\"float32\"!==r&&\"float64\"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):c(x,e),f=p.subarray(0,y)}var b=v(t);return t.texImage2D(t.TEXTURE_2D,0,g,o[0],o[1],0,g,u,f),l||a.free(p),new h(t,b,o[0],o[1],g,u)}(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;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 c=function(t,e){i.muls(t,e,255)};function f(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 h(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var p=h.prototype;function d(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function v(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function g(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=v(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new h(t,o,e,r,n,i)}Object.defineProperties(p,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return f(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return f(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,f(this,this._shape[0],t),t}}}),p.bind=function(t){var e=this.gl;return void 0!==t&&e.activeTexture(e.TEXTURE0+(0|t)),e.bindTexture(e.TEXTURE_2D,this.handle),void 0!==t?0|t:e.getParameter(e.ACTIVE_TEXTURE)-e.TEXTURE0},p.dispose=function(){this.gl.deleteTexture(this.handle)},p.generateMipmap=function(){this.bind(),this.gl.generateMipmap(this.gl.TEXTURE_2D);for(var t=Math.min(this._shape[0],this._shape[1]),e=0;t>0;++e,t>>>=1)this._mipLevels.indexOf(e)<0&&this._mipLevels.push(e)},p.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=u(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,u,f){var h=f.dtype,p=f.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var v=0,g=0,y=d(p,f.stride.slice());if(\"float32\"===h?v=t.FLOAT:\"float64\"===h?(v=t.FLOAT,y=!1,h=\"float32\"):\"uint8\"===h?v=t.UNSIGNED_BYTE:(v=t.UNSIGNED_BYTE,y=!1,h=\"uint8\"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],f=n(f.data,p,[f.stride[0],f.stride[1],1],f.offset);else{if(3!==p.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===p[2])g=t.ALPHA;else if(2===p[2])g=t.LUMINANCE_ALPHA;else if(3===p[2])g=t.RGB;else{if(4!==p[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");g=t.RGBA}p[2]}if(g!==t.LUMINANCE&&g!==t.ALPHA||s!==t.LUMINANCE&&s!==t.ALPHA||(g=s),g!==s)throw new Error(\"gl-texture2d: Incompatible texture format for setPixels\");var m=f.size,x=u.indexOf(o)<0;if(x&&u.push(o),v===l&&y)0===f.offset&&f.data.length===m?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,f.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,f.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,f.data.subarray(f.offset,f.offset+m)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,f.data.subarray(f.offset,f.offset+m));else{var b;b=l===t.FLOAT?a.mallocFloat32(m):a.mallocUint8(m);var 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i=this.computedMatrix,a=(Math.exp(this.computedRadius[0]),i[1]),o=i[5],s=i[9],l=u(a,o,s);a/=l,o/=l,s/=l;var c=i[0],f=i[4],h=i[8],p=c*a+f*o+h*s,d=u(c-=a*p,f-=o*p,h-=s*p),v=(c/=d)*e+a*r,g=(f/=d)*e+o*r,y=(h/=d)*e+s*r;this.center.move(t,v,g,y);var m=Math.exp(this.computedRadius[0]);m=Math.max(1e-4,m+n),this.radius.set(t,Math.log(m))},p.translate=function(t,e,r,n){this.center.move(t,e||0,r||0,n||0)},p.setMatrix=function(t,e,r,n){var a=1;\"number\"==typeof r&&(a=0|r),(a<0||a>3)&&(a=1);var o=(a+2)%3;e||(this.recalcMatrix(t),e=this.computedMatrix);var s=e[a],l=e[a+4],f=e[a+8];if(n){var h=Math.abs(s),p=Math.abs(l),d=Math.abs(f),v=Math.max(h,p,d);h===v?(s=s<0?-1:1,l=f=0):d===v?(f=f<0?-1:1,s=l=0):(l=l<0?-1:1,s=f=0)}else{var g=u(s,l,f);s/=g,l/=g,f/=g}var y,m,x=e[o],b=e[o+4],_=e[o+8],w=x*s+b*l+_*f,T=u(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=u(k,A,M);if(k/=S,A/=S,M/=S,this.center.jump(t,H,G,W),this.radius.idle(t),this.up.jump(t,s,l,f),this.right.jump(t,x,b,_),2===a){var 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Sr=function(t,e){this.type=Xt,this.needle=t,this.haystack=e};Sr.parse=function(t,e){if(3!==t.length)return e.error(\"Expected 2 arguments, but found \"+(t.length-1)+\" instead.\");var r=e.parse(t[1],1,Jt),n=e.parse(t[2],2,Jt);return r&&n?ae(r.type,[Xt,Yt,Wt,Gt,Jt])?new Sr(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(r.type)+\" instead\"):null},Sr.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!oe(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new xe(\"Expected first argument to be of type boolean, string, number or null, but found \"+re(ge(e))+\" instead.\");if(!oe(r,[\"string\",\"array\"]))throw new xe(\"Expected second argument to be of type array or string, but found \"+re(ge(r))+\" instead.\");return 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e={color:Zt,string:Yt,number:Wt,enum:Yt,boolean:Xt,formatted:Qt,resolvedImage:te};return\"array\"===t.type?ee(e[t.value]||Jt,t.length):e[t.type]}(e):void 0),n=r.parse(t,void 0,void 0,void 0,e&&\"string\"===e.type?{typeAnnotation:\"coerce\"}:void 0);return n?Xr(new un(n,e)):Zr(r.errors)}un.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._evaluator.globals=t,this._evaluator.feature=e,this._evaluator.featureState=r,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a,this.expression.evaluate(this._evaluator)},un.prototype.evaluate=function(t,e,r,n,i,a){this._evaluator.globals=t,this._evaluator.feature=e||null,this._evaluator.featureState=r||null,this._evaluator.canonical=n,this._evaluator.availableImages=i||null,this._evaluator.formattedSection=a||null;try{var o=this.expression.evaluate(this._evaluator);if(null==o||\"number\"==typeof o&&o!=o)return this._defaultValue;if(this._enumValues&&!(o in this._enumValues))throw new xe(\"Expected value to be one of \"+Object.keys(this._enumValues).map((function(t){return JSON.stringify(t)})).join(\", \")+\", but found \"+JSON.stringify(o)+\" instead.\");return o}catch(t){return this._warningHistory[t.message]||(this._warningHistory[t.message]=!0,\"undefined\"!=typeof console&&console.warn(t.message)),this._defaultValue}};var hn=function(t,e){this.kind=t,this._styleExpression=e,this.isStateDependent=\"constant\"!==t&&!Xe(e.expression)};hn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},hn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)};var pn=function(t,e,r,n){this.kind=t,this.zoomStops=r,this._styleExpression=e,this.isStateDependent=\"camera\"!==t&&!Xe(e.expression),this.interpolationType=n};function dn(t,e){if(\"error\"===(t=fn(t,e)).result)return t;var r=t.value.expression,n=Ye(r);if(!n&&!Kr(e))return Zr([new qt(\"\",\"data expressions not supported\")]);var i=Ze(r,[\"zoom\"]);if(!i&&!Jr(e))return Zr([new qt(\"\",\"zoom expressions not supported\")]);var a=gn(r);if(!a&&!i)return Zr([new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.')]);if(a instanceof qt)return Zr([a]);if(a instanceof wr&&!$r(e))return Zr([new qt(\"\",'\"interpolate\" expressions cannot be used with this property')]);if(!a)return Xr(new hn(n?\"constant\":\"source\",t.value));var o=a instanceof wr?a.interpolation:void 0;return Xr(new pn(n?\"camera\":\"composite\",t.value,a.labels,o))}pn.prototype.evaluateWithoutErrorHandling=function(t,e,r,n,i,a){return this._styleExpression.evaluateWithoutErrorHandling(t,e,r,n,i,a)},pn.prototype.evaluate=function(t,e,r,n,i,a){return this._styleExpression.evaluate(t,e,r,n,i,a)},pn.prototype.interpolationFactor=function(t,e,r){return this.interpolationType?wr.interpolationFactor(this.interpolationType,t,e,r):0};var vn=function(t,e){this._parameters=t,this._specification=e,jt(this,rn(this._parameters,this._specification))};function gn(t){var e=null;if(t instanceof Ar)e=gn(t.result);else if(t instanceof kr)for(var r=0,n=t.args;r<n.length;r+=1){var i=n[r];if(e=gn(i))break}else(t instanceof tr||t instanceof wr)&&t.input instanceof Ee&&\"zoom\"===t.input.name&&(e=t);return e instanceof qt||t.eachChild((function(t){var r=gn(t);r instanceof qt?e=r:!e&&r?e=new qt(\"\",'\"zoom\" expression may only be used as input to a top-level \"step\" or \"interpolate\" expression.'):e&&r&&e!==r&&(e=new qt(\"\",'Only one zoom-based \"step\" or \"interpolate\" subexpression may be used in an expression.'))})),e}function yn(t){var e=t.key,r=t.value,n=t.valueSpec||{},i=t.objectElementValidators||{},a=t.style,o=t.styleSpec,s=[],l=Qr(r);if(\"object\"!==l)return[new Bt(e,r,\"object expected, \"+l+\" found\")];for(var u in r){var c=u.split(\".\")[0],f=n[c]||n[\"*\"],h=void 0;if(i[c])h=i[c];else if(n[c])h=Hn;else if(i[\"*\"])h=i[\"*\"];else{if(!n[\"*\"]){s.push(new Bt(e,r[u],'unknown property \"'+u+'\"'));continue}h=Hn}s=s.concat(h({key:(e?e+\".\":e)+u,value:r[u],valueSpec:f,style:a,styleSpec:o,object:r,objectKey:u},r))}for(var p in n)i[p]||n[p].required&&void 0===n[p].default&&void 0===r[p]&&s.push(new Bt(e,r,'missing required property \"'+p+'\"'));return s}function mn(t){var e=t.value,r=t.valueSpec,n=t.style,i=t.styleSpec,a=t.key,o=t.arrayElementValidator||Hn;if(\"array\"!==Qr(e))return[new Bt(a,e,\"array expected, \"+Qr(e)+\" found\")];if(r.length&&e.length!==r.length)return[new Bt(a,e,\"array length \"+r.length+\" expected, length \"+e.length+\" found\")];if(r[\"min-length\"]&&e.length<r[\"min-length\"])return[new Bt(a,e,\"array length at least \"+r[\"min-length\"]+\" expected, length \"+e.length+\" found\")];var s={type:r.value,values:r.values};i.$version<7&&(s.function=r.function),\"object\"===Qr(r.value)&&(s=r.value);for(var l=[],u=0;u<e.length;u++)l=l.concat(o({array:e,arrayIndex:u,value:e[u],valueSpec:s,style:n,styleSpec:i,key:a+\"[\"+u+\"]\"}));return l}function xn(t){var e=t.key,r=t.value,n=t.valueSpec,i=Qr(r);return\"number\"===i&&r!=r&&(i=\"NaN\"),\"number\"!==i?[new Bt(e,r,\"number expected, \"+i+\" found\")]:\"minimum\"in n&&r<n.minimum?[new Bt(e,r,r+\" is less than the minimum value \"+n.minimum)]:\"maximum\"in n&&r>n.maximum?[new Bt(e,r,r+\" is greater than the maximum value \"+n.maximum)]:[]}function bn(t){var e,r,n,i=t.valueSpec,a=Ut(t.value.type),o={},s=\"categorical\"!==a&&void 0===t.value.property,l=!s,u=\"array\"===Qr(t.value.stops)&&\"array\"===Qr(t.value.stops[0])&&\"object\"===Qr(t.value.stops[0][0]),c=yn({key:t.key,value:t.value,valueSpec:t.styleSpec.function,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{stops:function(t){if(\"identity\"===a)return[new Bt(t.key,t.value,'identity function may not have a \"stops\" property')];var e=[],r=t.value;return e=e.concat(mn({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Qr(r)&&0===r.length&&e.push(new Bt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Hn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&c.push(new Bt(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||c.push(new Bt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!$r(t.valueSpec)&&c.push(new Bt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!Kr(t.valueSpec)?c.push(new Bt(t.key,t.value,\"property functions not supported\")):s&&!Jr(t.valueSpec)&&c.push(new Bt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!u||void 0!==t.value.property||c.push(new Bt(t.key,t.value,'\"property\" property is required')),c;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Qr(a))return[new Bt(s,a,\"array expected, \"+Qr(a)+\" found\")];if(2!==a.length)return[new Bt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(u){if(\"object\"!==Qr(a[0]))return[new Bt(s,a,\"object expected, \"+Qr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Bt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Bt(s,a,\"object stop key must have value\")];if(n&&n>Ut(a[0].zoom))return[new Bt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ut(a[0].zoom)!==n&&(n=Ut(a[0].zoom),r=void 0,o={}),e=e.concat(yn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:xn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return cn(Vt(a[1]))?e.concat([new Bt(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(Hn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Qr(t.value),l=Ut(t.value),u=null!==t.value?t.value:n;if(e){if(s!==e)return[new Bt(t.key,u,s+\" stop domain type must match previous stop domain type \"+e)]}else e=s;if(\"number\"!==s&&\"string\"!==s&&\"boolean\"!==s)return[new Bt(t.key,u,\"stop domain value must be a number, string, or boolean\")];if(\"number\"!==s&&\"categorical\"!==a){var c=\"number expected, \"+s+\" found\";return Kr(i)&&void 0===a&&(c+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Bt(t.key,u,c)]}return\"categorical\"!==a||\"number\"!==s||isFinite(l)&&Math.floor(l)===l?\"categorical\"!==a&&\"number\"===s&&void 0!==r&&l<r?[new Bt(t.key,u,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Bt(t.key,u,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Bt(t.key,u,\"integer expected, found \"+l)]}}function _n(t){var e=(\"property\"===t.expressionContext?dn:fn)(Vt(t.value),t.valueSpec);if(\"error\"===e.result)return e.value.map((function(e){return new Bt(\"\"+t.key+e.key,t.value,e.message)}));var r=e.value.expression||e.value._styleExpression.expression;if(\"property\"===t.expressionContext&&\"text-font\"===t.propertyKey&&!r.outputDefined())return[new Bt(t.key,t.value,'Invalid data expression for \"'+t.propertyKey+'\". Output values must be contained as literals within the expression.')];if(\"property\"===t.expressionContext&&\"layout\"===t.propertyType&&!Xe(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with layout properties.')];if(\"filter\"===t.expressionContext&&!Xe(r))return[new Bt(t.key,t.value,'\"feature-state\" data expressions are not supported with filters.')];if(t.expressionContext&&0===t.expressionContext.indexOf(\"cluster\")){if(!Ze(r,[\"zoom\",\"feature-state\"]))return[new Bt(t.key,t.value,'\"zoom\" and \"feature-state\" expressions are not supported with cluster properties.')];if(\"cluster-initial\"===t.expressionContext&&!Ye(r))return[new Bt(t.key,t.value,\"Feature data expressions are not supported with initial expression part of cluster properties.\")]}return[]}function wn(t){var e=t.key,r=t.value,n=t.valueSpec,i=[];return Array.isArray(n.values)?-1===n.values.indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+n.values.join(\", \")+\"], \"+JSON.stringify(r)+\" found\")):-1===Object.keys(n.values).indexOf(Ut(r))&&i.push(new Bt(e,r,\"expected one of [\"+Object.keys(n.values).join(\", \")+\"], \"+JSON.stringify(r)+\" found\")),i}function Tn(t){if(!0===t||!1===t)return!0;if(!Array.isArray(t)||0===t.length)return!1;switch(t[0]){case\"has\":return t.length>=2&&\"$id\"!==t[1]&&\"$type\"!==t[1];case\"in\":return t.length>=3&&(\"string\"!=typeof t[1]||Array.isArray(t[2]));case\"!in\":case\"!has\":case\"none\":return!1;case\"==\":case\"!=\":case\">\":case\">=\":case\"<\":case\"<=\":return 3!==t.length||Array.isArray(t[1])||Array.isArray(t[2]);case\"any\":case\"all\":for(var e=0,r=t.slice(1);e<r.length;e+=1){var n=r[e];if(!Tn(n)&&\"boolean\"!=typeof n)return!1}return!0;default:return!0}}vn.deserialize=function(t){return new vn(t._parameters,t._specification)},vn.serialize=function(t){return{_parameters:t._parameters,_specification:t._specification}};var kn={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function An(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};Tn(t)||(t=En(t));var e=fn(t,kn);if(\"error\"===e.result)throw new Error(e.value.map((function(t){return t.key+\": \"+t.message})).join(\", \"));return{filter:function(t,r,n){return e.value.evaluate(t,r,{},n)},needGeometry:Sn(t)}}function Mn(t,e){return t<e?-1:t>e?1:0}function Sn(t){if(!Array.isArray(t))return!1;if(\"within\"===t[0])return!0;for(var e=1;e<t.length;e++)if(Sn(t[e]))return!0;return!1}function En(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Ln(t[1],t[2],\"==\"):\"!=\"===r?On(Ln(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Ln(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(En))):\"all\"===r?[\"all\"].concat(t.slice(1).map(En)):\"none\"===r?[\"all\"].concat(t.slice(1).map(En).map(On)):\"in\"===r?Cn(t[1],t.slice(2)):\"!in\"===r?On(Cn(t[1],t.slice(2))):\"has\"===r?Pn(t[1]):\"!has\"===r?On(Pn(t[1])):\"within\"!==r||t}function Ln(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function Cn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(Mn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function Pn(t){switch(t){case\"$type\":return!0;case\"$id\":return[\"filter-has-id\"];default:return[\"filter-has\",t]}}function On(t){return[\"!\",t]}function In(t){return Tn(Vt(t.value))?_n(jt({},t,{expressionContext:\"filter\",valueSpec:{value:\"boolean\"}})):zn(t)}function zn(t){var e=t.value,r=t.key;if(\"array\"!==Qr(e))return[new Bt(r,e,\"array expected, \"+Qr(e)+\" found\")];var n,i=t.styleSpec,a=[];if(e.length<1)return[new Bt(r,e,\"filter array must have at least 1 element\")];switch(a=a.concat(wn({key:r+\"[0]\",value:e[0],valueSpec:i.filter_operator,style:t.style,styleSpec:t.styleSpec})),Ut(e[0])){case\"<\":case\"<=\":case\">\":case\">=\":e.length>=2&&\"$type\"===Ut(e[1])&&a.push(new Bt(r,e,'\"$type\" cannot be use with operator \"'+e[0]+'\"'));case\"==\":case\"!=\":3!==e.length&&a.push(new Bt(r,e,'filter array for operator \"'+e[0]+'\" must have 3 elements'));case\"in\":case\"!in\":e.length>=2&&\"string\"!==(n=Qr(e[1]))&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));for(var o=2;o<e.length;o++)n=Qr(e[o]),\"$type\"===Ut(e[1])?a=a.concat(wn({key:r+\"[\"+o+\"]\",value:e[o],valueSpec:i.geometry_type,style:t.style,styleSpec:t.styleSpec})):\"string\"!==n&&\"number\"!==n&&\"boolean\"!==n&&a.push(new Bt(r+\"[\"+o+\"]\",e[o],\"string, number, or boolean expected, \"+n+\" found\"));break;case\"any\":case\"all\":case\"none\":for(var s=1;s<e.length;s++)a=a.concat(zn({key:r+\"[\"+s+\"]\",value:e[s],style:t.style,styleSpec:t.styleSpec}));break;case\"has\":case\"!has\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"string\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));break;case\"within\":n=Qr(e[1]),2!==e.length?a.push(new Bt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"object\"!==n&&a.push(new Bt(r+\"[1]\",e[1],\"object expected, \"+n+\" found\"))}return a}function Dn(t,e){var r=t.key,n=t.style,i=t.styleSpec,a=t.value,o=t.objectKey,s=i[e+\"_\"+t.layerType];if(!s)return[];var l=o.match(/^(.*)-transition$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Hn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new Bt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Qr(a)&&Kr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new Bt(r,a,'\"'+o+'\" does not support interpolation syntax\\nUse an identity property function instead: `{ \"type\": \"identity\", \"property\": '+JSON.stringify(u[1])+\" }`.\")];var f=[];return\"symbol\"===t.layerType&&(\"text-field\"===o&&n&&!n.glyphs&&f.push(new Bt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&tn(Vt(a))&&\"identity\"===Ut(a.type)&&f.push(new Bt(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Ut(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new Bt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new Bt(n,r.source,\"raster-dem source can only be used with layer type 'hillshade'.\")):\"line\"!==s||!r.paint||!r.paint[\"line-gradient\"]||\"geojson\"===p&&h.lineMetrics||e.push(new Bt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new Bt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new Bt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new Bt(n,r,'missing required property \"source\"'));return 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Arrows\"](t)&&(t>=11026&&t<=11055||t>=11088&&t<=11097||t>=11192&&t<=11243)||pi[\"CJK Symbols and Punctuation\"](t)||pi.Katakana(t)||pi[\"Private Use Area\"](t)||pi[\"CJK Compatibility Forms\"](t)||pi[\"Small Form Variants\"](t)||pi[\"Halfwidth and Fullwidth Forms\"](t)||8734===t||8756===t||8757===t||t>=9984&&t<=10087||t>=10102&&t<=10131||65532===t||65533===t)}(t))}function yi(t){return pi.Arabic(t)||pi[\"Arabic Supplement\"](t)||pi[\"Arabic Extended-A\"](t)||pi[\"Arabic Presentation Forms-A\"](t)||pi[\"Arabic Presentation Forms-B\"](t)}function mi(t){return t>=1424&&t<=2303||pi[\"Arabic Presentation Forms-A\"](t)||pi[\"Arabic Presentation Forms-B\"](t)}function xi(t,e){return!(!e&&mi(t)||t>=2304&&t<=3583||t>=3840&&t<=4255||pi.Khmer(t))}function bi(t){for(var e=0,r=t;e<r.length;e+=1)if(mi(r[e].charCodeAt(0)))return!0;return!1}var _i=\"deferred\",wi=\"loading\",Ti=\"loaded\",ki=\"error\",Ai=null,Mi=\"unavailable\",Si=null,Ei=function(t){t&&\"string\"==typeof t&&t.indexOf(\"NetworkError\")>-1&&(Mi=ki),Ai&&Ai(t)};function Li(){Ci.fire(new zt(\"pluginStateChange\",{pluginStatus:Mi,pluginURL:Si}))}var Ci=new Rt,Pi=function(){return Mi},Oi=function(){if(Mi!==_i||!Si)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");Mi=wi,Li(),Si&&Mt({url:Si},(function(t){t?Ei(t):(Mi=Ti,Li())}))},Ii={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return Mi===Ti||null!=Ii.applyArabicShaping},isLoading:function(){return Mi===wi},setState:function(t){Mi=t.pluginStatus,Si=t.pluginURL},isParsed:function(){return null!=Ii.applyArabicShaping&&null!=Ii.processBidirectionalText&&null!=Ii.processStyledBidirectionalText},getPluginURL:function(){return Si}},zi=function(t,e){this.zoom=t,e?(this.now=e.now,this.fadeDuration=e.fadeDuration,this.zoomHistory=e.zoomHistory,this.transition=e.transition):(this.now=0,this.fadeDuration=0,this.zoomHistory=new hi,this.transition={})};zi.prototype.isSupportedScript=function(t){return function(t,e){for(var r=0,n=t;r<n.length;r+=1)if(!xi(n[r].charCodeAt(0),e))return!1;return!0}(t,Ii.isLoaded())},zi.prototype.crossFadingFactor=function(){return 0===this.fadeDuration?1:Math.min((this.now-this.zoomHistory.lastIntegerZoomTime)/this.fadeDuration,1)},zi.prototype.getCrossfadeParameters=function(){var t=this.zoom,e=t-Math.floor(t),r=this.crossFadingFactor();return t>this.zoomHistory.lastIntegerZoom?{fromScale:2,toScale:1,t:e+(1-e)*r}:{fromScale:.5,toScale:1,t:1-(1-r)*e}};var Di=function(t,e){this.property=t,this.value=e,this.expression=function(t,e){if(tn(t))return new vn(t,e);if(cn(t)){var r=dn(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=ue.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 Ri=function(t){this.property=t,this.value=new Di(t,void 0)};Ri.prototype.transitioned=function(t,e){return new Bi(this.property,this.value,e,p({},t.transition,this.transition),t.now)},Ri.prototype.untransitioned=function(){return new Bi(this.property,this.value,null,{},0)};var Fi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Fi.prototype.getValue=function(t){return w(this._values[t].value.value)},Fi.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].value=new Di(this._values[t].property,null===e?void 0:w(e))},Fi.prototype.getTransition=function(t){return w(this._values[t].transition)},Fi.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Ri(this._values[t].property)),this._values[t].transition=w(e)||void 0},Fi.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i);var a=this.getTransition(n);void 0!==a&&(t[n+\"-transition\"]=a)}return t},Fi.prototype.transitioned=function(t,e){for(var r=new Ni(this._properties),n=0,i=Object.keys(this._values);n<i.length;n+=1){var a=i[n];r._values[a]=this._values[a].transitioned(t,e._values[a])}return r},Fi.prototype.untransitioned=function(){for(var t=new Ni(this._properties),e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e];t._values[n]=this._values[n].untransitioned()}return t};var Bi=function(t,e,r,n,i){this.property=t,this.value=e,this.begin=i+n.delay||0,this.end=this.begin+n.duration||0,t.specification.transition&&(n.delay||n.duration)&&(this.prior=r)};Bi.prototype.possiblyEvaluate=function(t,e,r){var n=t.now||0,i=this.value.possiblyEvaluate(t,e,r),a=this.prior;if(a){if(n>this.end)return this.prior=null,i;if(this.value.isDataDriven())return this.prior=null,i;if(n<this.begin)return a.possiblyEvaluate(t,e,r);var o=(n-this.begin)/(this.end-this.begin);return this.property.interpolate(a.possiblyEvaluate(t,e,r),i,function(t){if(t<=0)return 0;if(t>=1)return 1;var e=t*t,r=e*t;return 4*(t<.5?r:3*(t-e)+r-.75)}(o))}return i};var Ni=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Ni.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n},Ni.prototype.hasTransition=function(){for(var t=0,e=Object.keys(this._values);t<e.length;t+=1){var r=e[t];if(this._values[r].prior)return!0}return!1};var ji=function(t){this._properties=t,this._values=Object.create(t.defaultPropertyValues)};ji.prototype.getValue=function(t){return w(this._values[t].value)},ji.prototype.setValue=function(t,e){this._values[t]=new Di(this._values[t].property,null===e?void 0:w(e))},ji.prototype.serialize=function(){for(var t={},e=0,r=Object.keys(this._values);e<r.length;e+=1){var n=r[e],i=this.getValue(n);void 0!==i&&(t[n]=i)}return t},ji.prototype.possiblyEvaluate=function(t,e,r){for(var n=new Vi(this._properties),i=0,a=Object.keys(this._values);i<a.length;i+=1){var o=a[i];n._values[o]=this._values[o].possiblyEvaluate(t,e,r)}return n};var Ui=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Ui.prototype.isConstant=function(){return\"constant\"===this.value.kind},Ui.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Ui.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var Vi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};Vi.prototype.get=function(t){return this._values[t]};var qi=function(t){this.specification=t};qi.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},qi.prototype.interpolate=function(t,e,r){var n=rr[this.specification.type];return n?n(t,e,r):t};var Hi=function(t,e){this.specification=t,this.overrides=e};Hi.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Ui(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Ui(this,t.expression,e)},Hi.prototype.interpolate=function(t,e,r){if(\"constant\"!==t.value.kind||\"constant\"!==e.value.kind)return t;if(void 0===t.value.value||void 0===e.value.value)return new Ui(this,{kind:\"constant\",value:void 0},t.parameters);var n=rr[this.specification.type];return n?new Ui(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Hi.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Gi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Ui(this,{kind:\"constant\",value:void 0},e);if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n),a=\"resolvedImage\"===t.property.specification.type&&\"string\"!=typeof i?i.name:i,o=this._calculate(a,a,a,e);return new Ui(this,{kind:\"constant\",value:o},e)}if(\"camera\"===t.expression.kind){var s=this._calculate(t.expression.evaluate({zoom:e.zoom-1}),t.expression.evaluate({zoom:e.zoom}),t.expression.evaluate({zoom:e.zoom+1}),e);return new Ui(this,{kind:\"constant\",value:s},e)}return new Ui(this,t.expression,e)},e.prototype.evaluate=function(t,e,r,n,i,a){if(\"source\"===t.kind){var o=t.evaluate(e,r,n,i,a);return this._calculate(o,o,o,e)}return\"composite\"===t.kind?this._calculate(t.evaluate({zoom:Math.floor(e.zoom)-1},r,n),t.evaluate({zoom:Math.floor(e.zoom)},r,n),t.evaluate({zoom:Math.floor(e.zoom)+1},r,n),e):t.value},e.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},e.prototype.interpolate=function(t){return t},e}(Hi),Wi=function(t){this.specification=t};Wi.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 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Vi(r.paint)}}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getCrossfadeParameters=function(){return this._crossfadeParameters},e.prototype.getLayoutProperty=function(t){return\"visibility\"===t?this.visibility:this._unevaluatedLayout.getValue(t)},e.prototype.setLayoutProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".layout.\"+t;if(this._validate($n,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return x(t,Zi)?this._transitionablePaint.getTransition(t.slice(0,-11)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Jn,n,t,e,r))return!1}if(x(t,Zi))return this._transitionablePaint.setTransition(t.slice(0,-11),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),_(t,(function(t,e){return!(void 0===t||\"layout\"===e&&!Object.keys(t).length||\"paint\"===e&&!Object.keys(t).length)}))},e.prototype._validate=function(t,e,r,n,i){return void 0===i&&(i={}),(!i||!1!==i.validate)&&Qn(this,t.call(Zn,{key:e,layerType:this.type,objectKey:r,value:n,styleSpec:Ft,style:{glyphs:!0,sprite:!0}}))},e.prototype.is3D=function(){return!1},e.prototype.isTileClipped=function(){return!1},e.prototype.hasOffscreenPass=function(){return!1},e.prototype.resize=function(){},e.prototype.isStateDependent=function(){for(var t in this.paint._values){var e=this.paint.get(t);if(e instanceof Ui&&Kr(e.property.specification)&&(\"source\"===e.value.kind||\"composite\"===e.value.kind)&&e.value.isStateDependent)return!0}return!1},e}(Rt),Ji={Int8:Int8Array,Uint8:Uint8Array,Int16:Int16Array,Uint16:Uint16Array,Int32:Int32Array,Uint32:Uint32Array,Float32:Float32Array},$i=function(t,e){this._structArray=t,this._pos1=e*this.size,this._pos2=this._pos1/2,this._pos4=this._pos1/4,this._pos8=this._pos1/8},Qi=function(){this.isTransferred=!1,this.capacity=-1,this.resize(0)};function ta(t,e){void 0===e&&(e=1);var r=0,n=0;return{members:t.map((function(t){var i,a=(i=t.type,Ji[i].BYTES_PER_ELEMENT),o=r=ea(r,Math.max(e,a)),s=t.components||1;return n=Math.max(n,a),r+=a*s,{name:t.name,type:t.type,components:s,offset:o}})),size:ea(r,Math.max(n,e)),alignment:e}}function ea(t,e){return Math.ceil(t/e)*e}Qi.serialize=function(t,e){return t._trim(),e&&(t.isTransferred=!0,e.push(t.arrayBuffer)),{length:t.length,arrayBuffer:t.arrayBuffer}},Qi.deserialize=function(t){var e=Object.create(this.prototype);return e.arrayBuffer=t.arrayBuffer,e.length=t.length,e.capacity=t.arrayBuffer.byteLength/e.bytesPerElement,e._refreshViews(),e},Qi.prototype._trim=function(){this.length!==this.capacity&&(this.capacity=this.length,this.arrayBuffer=this.arrayBuffer.slice(0,this.length*this.bytesPerElement),this._refreshViews())},Qi.prototype.clear=function(){this.length=0},Qi.prototype.resize=function(t){this.reserve(t),this.length=t},Qi.prototype.reserve=function(t){if(t>this.capacity){this.capacity=Math.max(t,Math.floor(5*this.capacity),128),this.arrayBuffer=new ArrayBuffer(this.capacity*this.bytesPerElement);var e=this.uint8;this._refreshViews(),e&&this.uint8.set(e)}},Qi.prototype._refreshViews=function(){throw new Error(\"_refreshViews() must be implemented by each concrete StructArray layout\")};var ra=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.int16[n+0]=e,this.int16[n+1]=r,t},e}(Qi);ra.prototype.bytesPerElement=4,oi(\"StructArrayLayout2i4\",ra);var na=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new 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this.int16[s+0]=e,this.int16[s+1]=r,this.int16[s+2]=n,this.int16[s+3]=i,this.int16[s+4]=a,this.int16[s+5]=o,t},e}(Qi);ia.prototype.bytesPerElement=12,oi(\"StructArrayLayout2i4i12\",ia);var aa=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Qi);aa.prototype.bytesPerElement=8,oi(\"StructArrayLayout2i4ub8\",aa);var oa=function(t){function e(){t.apply(this,arguments)}return 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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}($i);Ma.prototype.size=48;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 Ma(this,t)},e}(ga);oi(\"PlacedSymbolArray\",Sa);var Ea=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var 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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 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s=t;s<e;s++)this.paintVertexArray.emplace(s,r,n);this.maxValue=Math.max(this.maxValue,Math.abs(r),Math.abs(n))}},so.prototype.upload=function(t){this.paintVertexArray&&this.paintVertexArray.arrayBuffer&&(this.paintVertexBuffer&&this.paintVertexBuffer.buffer?this.paintVertexBuffer.updateData(this.paintVertexArray):this.paintVertexBuffer=t.createVertexBuffer(this.paintVertexArray,this.paintVertexAttributes,this.expression.isStateDependent))},so.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},so.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=f(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},so.prototype.getBinding=function(t,e,r){return new Ka(t,e)};var lo=function(t,e,r,n,i,a){this.expression=t,this.type=e,this.useIntegerZoom=r,this.zoom=n,this.layerId=a,this.zoomInPaintVertexArray=new i,this.zoomOutPaintVertexArray=new i};lo.prototype.populatePaintArray=function(t,e,r){var n=this.zoomInPaintVertexArray.length;this.zoomInPaintVertexArray.resize(t),this.zoomOutPaintVertexArray.resize(t),this._setPaintValues(n,t,e.patterns&&e.patterns[this.layerId],r)},lo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},lo.prototype._setPaintValues=function(t,e,r,n){if(n&&r){var i=r.min,a=r.mid,o=r.max,s=n[i],l=n[a],u=n[o];if(s&&l&&u)for(var c=t;c<e;c++)this.zoomInPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],s.tl[0],s.tl[1],s.br[0],s.br[1],l.pixelRatio,s.pixelRatio),this.zoomOutPaintVertexArray.emplace(c,l.tl[0],l.tl[1],l.br[0],l.br[1],u.tl[0],u.tl[1],u.br[0],u.br[1],l.pixelRatio,u.pixelRatio)}},lo.prototype.upload=function(t){this.zoomInPaintVertexArray&&this.zoomInPaintVertexArray.arrayBuffer&&this.zoomOutPaintVertexArray&&this.zoomOutPaintVertexArray.arrayBuffer&&(this.zoomInPaintVertexBuffer=t.createVertexBuffer(this.zoomInPaintVertexArray,Fa.members,this.expression.isStateDependent),this.zoomOutPaintVertexBuffer=t.createVertexBuffer(this.zoomOutPaintVertexArray,Fa.members,this.expression.isStateDependent))},lo.prototype.destroy=function(){this.zoomOutPaintVertexBuffer&&this.zoomOutPaintVertexBuffer.destroy(),this.zoomInPaintVertexBuffer&&this.zoomInPaintVertexBuffer.destroy()};var uo=function(t,e,r){this.binders={},this._buffers=[];var n=[];for(var i in t.paint._values)if(r(i)){var a=t.paint.get(i);if(a instanceof Ui&&Kr(a.property.specification)){var o=fo(i,t.type),s=a.value,l=a.property.specification.type,u=a.property.useIntegerZoom,c=a.property.specification[\"property-type\"],f=\"cross-faded\"===c||\"cross-faded-data-driven\"===c;if(\"constant\"===s.kind)this.binders[i]=f?new ao(s.value,o):new io(s.value,o,l),n.push(\"/u_\"+i);else if(\"source\"===s.kind||f){var h=ho(i,l,\"source\");this.binders[i]=f?new lo(s,l,u,e,h,t.id):new oo(s,o,l,h),n.push(\"/a_\"+i)}else{var p=ho(i,l,\"composite\");this.binders[i]=new so(s,o,l,u,e,p),n.push(\"/z_\"+i)}}}this.cacheKey=n.sort().join(\"\")};uo.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof oo||e instanceof so?e.maxValue:0},uo.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof oo||o instanceof so||o instanceof lo)&&o.populatePaintArray(t,e,r,n,i)}},uo.prototype.setConstantPatternPositions=function(t,e){for(var r in this.binders){var n=this.binders[r];n instanceof ao&&n.setConstantPatternPositions(t,e)}},uo.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 u=l[s],c=r.feature(u.index);for(var f in this.binders){var h=this.binders[f];if((h instanceof oo||h instanceof so||h instanceof lo)&&!0===h.expression.isStateDependent){var p=n.paint.get(f);h.expression=p.value,h.updatePaintArray(u.start,u.end,c,t[o],i),a=!0}}}return a},uo.prototype.defines=function(){var t=[];for(var e in this.binders){var r=this.binders[e];(r instanceof io||r instanceof ao)&&t.push.apply(t,r.uniformNames.map((function(t){return\"#define HAS_UNIFORM_\"+t})))}return t},uo.prototype.getBinderAttributes=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof oo||r instanceof so)for(var n=0;n<r.paintVertexAttributes.length;n++)t.push(r.paintVertexAttributes[n].name);else if(r instanceof lo)for(var i=0;i<Fa.members.length;i++)t.push(Fa.members[i].name)}return t},uo.prototype.getBinderUniforms=function(){var t=[];for(var e in this.binders){var r=this.binders[e];if(r instanceof io||r instanceof ao||r instanceof so)for(var n=0,i=r.uniformNames;n<i.length;n+=1){var a=i[n];t.push(a)}}return t},uo.prototype.getPaintVertexBuffers=function(){return this._buffers},uo.prototype.getUniforms=function(t,e){var r=[];for(var n in this.binders){var i=this.binders[n];if(i instanceof io||i instanceof ao||i instanceof so)for(var a=0,o=i.uniformNames;a<o.length;a+=1){var s=o[a];if(e[s]){var l=i.getBinding(t,e[s],s);r.push({name:s,property:n,binding:l})}}}return r},uo.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,u=o.binding;this.binders[l].setUniform(u,n,r.get(l),s)}},uo.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof lo){var 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u=t.readVarint();n=7&u,i=u>>3}if(i--,1===n||2===n)o+=t.readSVarint(),s+=t.readSVarint(),1===n&&(e&&l.push(e),e=[]),e.push(new a(o,s));else{if(7!==n)throw new Error(\"unknown command \"+n);e&&e.push(e[0].clone())}}return e&&l.push(e),l},Ys.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,u=-1/0;t.pos<e;){if(n<=0){var c=t.readVarint();r=7&c,n=c>>3}if(n--,1===r||2===r)(i+=t.readSVarint())<o&&(o=i),i>s&&(s=i),(a+=t.readSVarint())<l&&(l=a),a>u&&(u=a);else if(7!==r)throw new Error(\"unknown command \"+r)}return[o,l,s,u]},Ys.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(),u=Ys.types[this.type];function c(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];c(l=f);break;case 2:for(n=0;n<l.length;n++)c(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=Zs(t[a]);0!==o&&(void 0===n&&(n=o<0),n===o<0?(r&&i.push(r),r=[t[a]]):r.push(t[a]))}return r&&i.push(r),i}(l),n=0;n<l.length;n++)for(i=0;i<l[n].length;i++)c(l[n][i])}1===l.length?l=l[0]:u=\"Multi\"+u;var h={type:\"Feature\",geometry:{type:u,coordinates:l},properties:this.properties};return\"id\"in this&&(h.id=this.id),h};var Ks=Js;function Js(t,e){this.version=1,this.name=null,this.extent=4096,this.length=0,this._pbf=t,this._keys=[],this._values=[],this._features=[],t.readFields($s,this,e),this.length=this._features.length}function $s(t,e,r){15===t?e.version=r.readVarint():1===t?e.name=r.readString():5===t?e.extent=r.readVarint():2===t?e._features.push(r.pos):3===t?e._keys.push(r.readString()):4===t&&e._values.push(function(t){for(var e=null,r=t.readVarint()+t.pos;t.pos<r;){var n=t.readVarint()>>3;e=1===n?t.readString():2===n?t.readFloat():3===n?t.readDouble():4===n?t.readVarint64():5===n?t.readVarint():6===n?t.readSVarint():7===n?t.readBoolean():null}return e}(r))}function Qs(t,e,r){if(3===t){var n=new Ks(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Js.prototype.feature=function(t){if(t<0||t>=this._features.length)throw new Error(\"feature index out of bounds\");this._pbf.pos=this._features[t];var e=this._pbf.readVarint()+this._pbf.pos;return new Ws(this._pbf,e,this.extent,this._keys,this._values)};var tl={VectorTile:function(t,e){this.layers=t.readFields(Qs,{},e)},VectorTileFeature:Ws,VectorTileLayer:Ks},el=tl.VectorTileFeature.types,rl=Math.pow(2,13);function nl(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*rl)+o,i*rl*2,a*rl*2,Math.round(s))}var il=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.layoutVertexArray=new ia,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new Da,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function al(t,e){return t.x===e.x&&(t.x<0||t.x>po)||t.y===e.y&&(t.y<0||t.y>po)}il.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ns(\"fill-extrusion\",this.layers,e);for(var n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.feature,s=a.id,l=a.index,u=a.sourceLayerIndex,c=this.layers[0]._featureFilter.needGeometry,f=mo(o,c);if(this.layers[0]._featureFilter.filter(new zi(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:yo(o),properties:o.properties,type:o.type,patterns:{}};this.hasPattern?this.features.push(js(\"fill-extrusion\",this.layers,h,this.zoom,e)):this.addFeature(h,h.geometry,l,r,{}),e.featureIndex.insert(o,h.geometry,l,u,this.index,!0)}}},il.prototype.addFeatures=function(t,e,r){for(var n=0,i=this.features;n<i.length;n+=1){var a=i[n],o=a.geometry;this.addFeature(a,o,a.index,e,r)}},il.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},il.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},il.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},il.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Gs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},il.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},il.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Fs(e,500);a<o.length;a+=1){for(var s=o[a],l=0,u=0,c=s;u<c.length;u+=1)l+=c[u].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&&!((O=d).every((function(t){return t.x<0}))||O.every((function(t){return t.x>po}))||O.every((function(t){return t.y<0}))||O.every((function(t){return t.y>po}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!al(y,m)){f.vertexLength+4>Da.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(4,this.layoutVertexArray,this.indexArray));var x=y.sub(m)._perp()._unit(),b=m.dist(y);v+b>32768&&(v=0),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),nl(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,1,v);var _=f.vertexLength;this.indexArray.emplaceBack(_,_+2,_+1),this.indexArray.emplaceBack(_+1,_+2,_+3),f.vertexLength+=4,f.primitiveLength+=2}}}}if(f.vertexLength+l>Da.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===el[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];nl(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=as(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}}var O;this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},oi(\"FillExtrusionBucket\",il,{omit:[\"layers\",\"features\"]});var ol={paint:new Xi({\"fill-extrusion-opacity\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Gi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Hi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new qi(Ft[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},sl=function(t){function e(e){t.call(this,e,ol)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new il(t)},e.prototype.queryRadius=function(){return Io(this.paint.get(\"fill-extrusion-translate\"))},e.prototype.is3D=function(){return!0},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s,l){var u=zo(t,this.paint.get(\"fill-extrusion-translate\"),this.paint.get(\"fill-extrusion-translate-anchor\"),o.angle,s),c=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 i=[],o=0,s=t;o<s.length;o+=1){var l=s[o],u=[l.x,l.y,n,1];qo(u,u,e),i.push(new a(u[0]/u[3],u[1]/u[3]))}return i}(u,l,0,0),p=function(t,e,r,n){for(var i=[],o=[],s=n[8]*e,l=n[9]*e,u=n[10]*e,c=n[11]*e,f=n[8]*r,h=n[9]*r,p=n[10]*r,d=n[11]*r,v=0,g=t;v<g.length;v+=1){for(var y=[],m=[],x=0,b=g[v];x<b.length;x+=1){var _=b[x],w=_.x,T=_.y,k=n[0]*w+n[4]*T+n[12],A=n[1]*w+n[5]*T+n[13],M=n[2]*w+n[6]*T+n[14],S=n[3]*w+n[7]*T+n[15],E=M+u,L=S+c,C=k+f,P=A+h,O=M+p,I=S+d,z=new a((k+s)/L,(A+l)/L);z.z=E/L,y.push(z);var D=new a(C/I,P/I);D.z=O/I,m.push(D)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;To(r,e)&&(n=ul(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],u=a[s+1],c=o[s],f=[l,u,o[s+1],c,l];_o(r,f)&&(n=Math.min(n,ul(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Ki);function ll(t,e){return t.x*e.x+t.y*e.y}function ul(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),u=o.sub(i),c=ll(s,s),f=ll(s,l),h=ll(l,l),p=ll(u,s),d=ll(u,l),v=c*h-f*f,g=(h*p-f*d)/v,y=(c*d-f*p)/v,m=1-g-y,x=i.z*m+r.z*g+a.z*y;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 cl=ta([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,fl=ta([{name:\"a_uv_x\",components:1,type:\"Float32\"},{name:\"a_split_index\",components:1,type:\"Float32\"}]).members,hl=tl.VectorTileFeature.types,pl=Math.cos(Math.PI/180*37.5),dl=Math.pow(2,14)/.5,vl=function(t){var e=this;this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.lineClipsArray=[],this.gradients={},this.layers.forEach((function(t){e.gradients[t.id]={}})),this.layoutVertexArray=new aa,this.layoutVertexArray2=new oa,this.indexArray=new va,this.programConfigurations=new co(t.layers,t.zoom),this.segments=new Da,this.maxLineLength=0,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};vl.prototype.populate=function(t,e,r){this.hasPattern=Ns(\"line\",this.layers,e);for(var n=this.layers[0].layout.get(\"line-sort-key\"),i=[],a=0,o=t;a<o.length;a+=1){var s=o[a],l=s.feature,u=s.id,c=s.index,f=s.sourceLayerIndex,h=this.layers[0]._featureFilter.needGeometry,p=mo(l,h);if(this.layers[0]._featureFilter.filter(new zi(this.zoom),p,r)){var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:h?p.geometry:yo(l),patterns:{},sortKey:d};i.push(v)}}n&&i.sort((function(t,e){return t.sortKey-e.sortKey}));for(var g=0,y=i;g<y.length;g+=1){var m=y[g],x=m,b=x.geometry,_=x.index,w=x.sourceLayerIndex;if(this.hasPattern){var T=js(\"line\",this.layers,m,this.zoom,e);this.patternFeatures.push(T)}else this.addFeature(m,b,_,r,{});var k=t[_].feature;e.featureIndex.insert(k,b,_,w,this.index)}},vl.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},vl.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)}},vl.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},vl.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},vl.prototype.upload=function(t){this.uploaded||(0!==this.layoutVertexArray2.length&&(this.layoutVertexBuffer2=t.createVertexBuffer(this.layoutVertexArray2,fl)),this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,cl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},vl.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},vl.prototype.lineFeatureClips=function(t){if(t.properties&&t.properties.hasOwnProperty(\"mapbox_clip_start\")&&t.properties.hasOwnProperty(\"mapbox_clip_end\"))return{start:+t.properties.mapbox_clip_start,end:+t.properties.mapbox_clip_end}},vl.prototype.addFeature=function(t,e,r,n,i){var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),u=a.get(\"line-round-limit\");this.lineClips=this.lineFeatureClips(t);for(var c=0,f=e;c<f.length;c+=1){var h=f[c];this.addLine(h,t,o,s,l,u)}this.programConfigurations.populatePaintArrays(this.layoutVertexArray.length,t,r,i,n)},vl.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,this.lineClips){this.lineClipsArray.push(this.lineClips);for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance(),this.maxLineLength=Math.max(this.maxLineLength,this.totalDistance)}for(var s=\"Polygon\"===hl[e.type],l=t.length;l>=2&&t[l-1].equals(t[l-2]);)l--;for(var u=0;u<l-1&&t[u].equals(t[u+1]);)u++;if(!(l<(s?3:2))){\"bevel\"===r&&(i=1.05);var c,f=this.overscaling<=16?15*po/(512*this.overscaling):0,h=this.segments.prepareSegment(10*l,this.layoutVertexArray,this.indexArray),p=void 0,d=void 0,v=void 0,g=void 0;this.e1=this.e2=-1,s&&(c=t[l-2],g=t[u].sub(c)._unit()._perp());for(var y=u;y<l;y++)if(!(d=y===l-1?s?t[u+1]:void 0:t[y+1])||!t[y].equals(d)){g&&(v=g),c&&(p=c),c=t[y],g=d?d.sub(c)._unit()._perp():v;var m=(v=v||g).add(g);0===m.x&&0===m.y||m._unit();var x=v.x*g.x+v.y*g.y,b=m.x*g.x+m.y*g.y,_=0!==b?1/b:1/0,w=2*Math.sqrt(2-2*b),T=b<pl&&p&&d,k=v.x*g.y-v.y*g.x>0;if(T&&y>u){var A=c.dist(p);if(A>2*f){var M=c.sub(c.sub(p)._mult(f/A)._round());this.updateDistance(p,M),this.addCurrentVertex(M,v,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,c),\"miter\"===E)m._mult(_),this.addCurrentVertex(c,m,0,0,h);else if(\"flipbevel\"===E){if(_>100)m=g.mult(-1);else{var L=_*v.add(g).mag()/v.sub(g).mag();m._perp()._mult(L*(k?-1:1))}this.addCurrentVertex(c,m,0,0,h),this.addCurrentVertex(c,m.mult(-1),0,0,h)}else if(\"bevel\"===E||\"fakeround\"===E){var C=-Math.sqrt(_*_-1),P=k?C:0,O=k?0:C;if(p&&this.addCurrentVertex(c,v,P,O,h),\"fakeround\"===E)for(var I=Math.round(180*w/Math.PI/20),z=1;z<I;z++){var D=z/I;if(.5!==D){var R=D-.5;D+=D*R*(D-1)*((1.0904+x*(x*(3.55645-1.43519*x)-3.2452))*R*R+(.848013+x*(.215638*x-1.06021)))}var F=g.sub(v)._mult(D)._add(v)._unit()._mult(k?-1:1);this.addHalfVertex(c,F.x,F.y,!1,k,0,h)}d&&this.addCurrentVertex(c,g,-P,-O,h)}else if(\"butt\"===E)this.addCurrentVertex(c,m,0,0,h);else if(\"square\"===E){var B=p?1:-1;this.addCurrentVertex(c,m,B,B,h)}else\"round\"===E&&(p&&(this.addCurrentVertex(c,v,0,0,h),this.addCurrentVertex(c,v,1,1,h,!0)),d&&(this.addCurrentVertex(c,g,-1,-1,h,!0),this.addCurrentVertex(c,g,0,0,h)));if(T&&y<l-1){var N=c.dist(d);if(N>2*f){var j=c.add(d.sub(c)._mult(f/N)._round());this.updateDistance(c,j),this.addCurrentVertex(j,g,0,0,h),c=j}}}}},vl.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var 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e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed32());return t},readPackedFixed64:function(t){if(this.type!==Il.Bytes)return t.push(this.readFixed64());var e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readFixed64());return t},readPackedSFixed64:function(t){if(this.type!==Il.Bytes)return t.push(this.readSFixed64());var e=Fl(this);for(t=t||[];this.pos<e;)t.push(this.readSFixed64());return t},skip:function(t){var e=7&t;if(e===Il.Varint)for(;this.buf[this.pos++]>127;);else if(e===Il.Bytes)this.pos=this.readVarint()+this.pos;else if(e===Il.Fixed32)this.pos+=4;else{if(e!==Il.Fixed64)throw new Error(\"Unimplemented type: \"+e);this.pos+=8}},writeTag:function(t,e){this.writeVarint(t<<3|e)},realloc:function(t){for(var e=this.length||16;e<this.pos+t;)e*=2;if(e!==this.length){var r=new Uint8Array(e);r.set(this.buf),this.buf=r,this.length=e}},finish:function(){return this.length=this.pos,this.pos=0,this.buf.subarray(0,this.length)},writeFixed32:function(t){this.realloc(4),Kl(this.buf,t,this.pos),this.pos+=4},writeSFixed32:function(t){this.realloc(4),Kl(this.buf,t,this.pos),this.pos+=4},writeFixed64:function(t){this.realloc(8),Kl(this.buf,-1&t,this.pos),Kl(this.buf,Math.floor(t*Dl),this.pos+4),this.pos+=8},writeSFixed64:function(t){this.realloc(8),Kl(this.buf,-1&t,this.pos),Kl(this.buf,Math.floor(t*Dl),this.pos+4),this.pos+=8},writeVarint:function(t){(t=+t||0)>268435455||t<0?function(t,e){var r,n;if(t>=0?(r=t%4294967296|0,n=t/4294967296|0):(n=~(-t/4294967296),4294967295^(r=~(-t%4294967296))?r=r+1|0:(r=0,n=n+1|0)),t>=0x10000000000000000||t<-0x10000000000000000)throw new Error(\"Given varint doesn't fit into 10 bytes\");e.realloc(10),function(t,e,r){r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos++]=127&t|128,t>>>=7,r.buf[r.pos]=127&t}(r,0,e),function(t,e){var r=(7&t)<<4;e.buf[e.pos++]|=r|((t>>>=3)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t|((t>>>=7)?128:0),t&&(e.buf[e.pos++]=127&t)))))}(n,e)}(t,this):(this.realloc(4),this.buf[this.pos++]=127&t|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=127&(t>>>=7)|(t>127?128:0),t<=127||(this.buf[this.pos++]=t>>>7&127))))},writeSVarint:function(t){this.writeVarint(t<0?2*-t-1:2*t)},writeBoolean:function(t){this.writeVarint(Boolean(t))},writeString:function(t){t=String(t),this.realloc(4*t.length),this.pos++;var e=this.pos;this.pos=function(t,e,r){for(var n,i,a=0;a<e.length;a++){if((n=e.charCodeAt(a))>55295&&n<57344){if(!i){n>56319||a+1===e.length?(t[r++]=239,t[r++]=191,t[r++]=189):i=n;continue}if(n<56320){t[r++]=239,t[r++]=191,t[r++]=189,i=n;continue}n=i-55296<<10|n-56320|65536,i=null}else i&&(t[r++]=239,t[r++]=191,t[r++]=189,i=null);n<128?t[r++]=n:(n<2048?t[r++]=n>>6|192:(n<65536?t[r++]=n>>12|224:(t[r++]=n>>18|240,t[r++]=n>>12&63|128),t[r++]=n>>6&63|128),t[r++]=63&n|128)}return r}(this.buf,t,this.pos);var r=this.pos-e;r>=128&&Nl(e,r,this),this.pos=e-1,this.writeVarint(r),this.pos+=r},writeFloat:function(t){this.realloc(4),Pl(this.buf,t,this.pos,!0,23,4),this.pos+=4},writeDouble:function(t){this.realloc(8),Pl(this.buf,t,this.pos,!0,52,8),this.pos+=8},writeBytes:function(t){var e=t.length;this.writeVarint(e),this.realloc(e);for(var r=0;r<e;r++)this.buf[this.pos++]=t[r]},writeRawMessage:function(t,e){this.pos++;var r=this.pos;t(e,this);var n=this.pos-r;n>=128&&Nl(r,n,this),this.pos=r-1,this.writeVarint(n),this.pos+=n},writeMessage:function(t,e,r){this.writeTag(t,Il.Bytes),this.writeRawMessage(e,r)},writePackedVarint:function(t,e){e.length&&this.writeMessage(t,jl,e)},writePackedSVarint:function(t,e){e.length&&this.writeMessage(t,Ul,e)},writePackedBoolean:function(t,e){e.length&&this.writeMessage(t,Hl,e)},writePackedFloat:function(t,e){e.length&&this.writeMessage(t,Vl,e)},writePackedDouble:function(t,e){e.length&&this.writeMessage(t,ql,e)},writePackedFixed32:function(t,e){e.length&&this.writeMessage(t,Gl,e)},writePackedSFixed32:function(t,e){e.length&&this.writeMessage(t,Wl,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,Il.Bytes),this.writeBytes(e)},writeFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFixed32(e)},writeSFixed32Field:function(t,e){this.writeTag(t,Il.Fixed32),this.writeSFixed32(e)},writeFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeFixed64(e)},writeSFixed64Field:function(t,e){this.writeTag(t,Il.Fixed64),this.writeSFixed64(e)},writeVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeVarint(e)},writeSVarintField:function(t,e){this.writeTag(t,Il.Varint),this.writeSVarint(e)},writeStringField:function(t,e){this.writeTag(t,Il.Bytes),this.writeString(e)},writeFloatField:function(t,e){this.writeTag(t,Il.Fixed32),this.writeFloat(e)},writeDoubleField:function(t,e){this.writeTag(t,Il.Fixed64),this.writeDouble(e)},writeBooleanField:function(t,e){this.writeVarintField(t,Boolean(e))}};var $l=3;function Ql(t,e,r){1===t&&r.readMessage(tu,e)}function tu(t,e,r){if(3===t){var n=r.readMessage(eu,{}),i=n.id,a=n.bitmap,o=n.width,s=n.height,l=n.left,u=n.top,c=n.advance;e.push({id:i,bitmap:new Jo({width:o+2*$l,height:s+2*$l},a),metrics:{width:o,height:s,left:l,top:u,advance:c}})}}function eu(t,e,r){1===t?e.id=r.readVarint():2===t?e.bitmap=r.readBytes():3===t?e.width=r.readVarint():4===t?e.height=r.readVarint():5===t?e.left=r.readSVarint():6===t?e.top=r.readSVarint():7===t&&(e.advance=r.readVarint())}var ru=$l;function nu(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,u=0,c=t;u<c.length;u+=1)for(var f=c[u],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 f.h===p.h?(p.x+=f.w,p.w-=f.w):f.w===p.w?(p.y+=f.h,p.h-=f.h):(o.push({x:p.x+f.w,y:p.y,w:p.w-f.w,h:f.h}),p.y+=f.h,p.h-=f.h);break}}return{w:s,h:l,fill:e/(s*l)||0}}var iu=1,au=function(t,e){var r=e.pixelRatio,n=e.version,i=e.stretchX,a=e.stretchY,o=e.content;this.paddedRect=t,this.pixelRatio=r,this.stretchX=i,this.stretchY=a,this.content=o,this.version=n},ou={tl:{configurable:!0},br:{configurable:!0},tlbr:{configurable:!0},displaySize:{configurable:!0}};ou.tl.get=function(){return[this.paddedRect.x+iu,this.paddedRect.y+iu]},ou.br.get=function(){return[this.paddedRect.x+this.paddedRect.w-iu,this.paddedRect.y+this.paddedRect.h-iu]},ou.tlbr.get=function(){return this.tl.concat(this.br)},ou.displaySize.get=function(){return[(this.paddedRect.w-2*iu)/this.pixelRatio,(this.paddedRect.h-2*iu)/this.pixelRatio]},Object.defineProperties(au.prototype,ou);var su=function(t,e){var r={},n={};this.haveRenderCallbacks=[];var i=[];this.addImages(t,r,i),this.addImages(e,n,i);var a=nu(i),o=a.w,s=a.h,l=new $o({width:o||1,height:s||1});for(var u in t){var c=t[u],f=r[u].paddedRect;$o.copy(c.data,l,{x:0,y:0},{x:f.x+iu,y:f.y+iu},c.data)}for(var h in e){var p=e[h],d=n[h].paddedRect,v=d.x+iu,g=d.y+iu,y=p.data.width,m=p.data.height;$o.copy(p.data,l,{x:0,y:0},{x:v,y:g},p.data),$o.copy(p.data,l,{x:0,y:m-1},{x:v,y:g-1},{width:y,height:1}),$o.copy(p.data,l,{x:0,y:0},{x:v,y:g+m},{width:y,height:1}),$o.copy(p.data,l,{x:y-1,y:0},{x:v-1,y:g},{width:1,height:m}),$o.copy(p.data,l,{x:0,y:0},{x:v+y,y:g},{width:1,height:m})}this.image=l,this.iconPositions=r,this.patternPositions=n};su.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*iu,h:i.data.height+2*iu};r.push(a),e[n]=new au(a,i),i.hasRenderCallback&&this.haveRenderCallbacks.push(n)}},su.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)},su.prototype.patchUpdatedImage=function(t,e,r){if(t&&e&&t.version!==e.version){t.version=e.version;var n=t.tl,i=n[0],a=n[1];r.update(e.data,void 0,{x:i,y:a})}},oi(\"ImagePosition\",au),oi(\"ImageAtlas\",su);var lu={horizontal:1,vertical:2,horizontalOnly:3},uu=-17;var cu=function(){this.scale=1,this.fontStack=\"\",this.imageName=null};cu.forText=function(t,e){var r=new cu;return r.scale=t||1,r.fontStack=e,r},cu.forImage=function(t){var e=new cu;return e.imageName=t,e};var fu=function(){this.text=\"\",this.sectionIndex=[],this.sections=[],this.imageSectionID=null};function hu(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=fu.fromFeature(t,i);f===lu.vertical&&y.verticalizePunctuation();var m=Ii.processBidirectionalText,x=Ii.processStyledBidirectionalText;if(m&&1===y.sections.length){g=[];for(var b=0,_=m(y.toString(),bu(y,u,a,e,n,p,d));b<_.length;b+=1){var w=_[b],T=new fu;T.text=w,T.sections=y.sections;for(var k=0;k<w.length;k++)T.sectionIndex.push(0);g.push(T)}}else if(x){g=[];for(var A=0,M=x(y.text,y.sectionIndex,bu(y,u,a,e,n,p,d));A<M.length;A+=1){var S=M[A],E=new fu;E.text=S[0],E.sectionIndex=S[1],E.sections=y.sections,g.push(E)}}else g=function(t,e){for(var r=[],n=t.text,i=0,a=0,o=e;a<o.length;a+=1){var s=o[a];r.push(t.substring(i,s)),i=s}return i<n.length&&r.push(t.substring(i,n.length)),r}(y,bu(y,u,a,e,n,p,d));var L=[],C={positionedLines:L,text:y.toString(),top:c[1],bottom:c[1],left:c[0],right:c[0],writingMode:f,iconsInText:!1,verticalizable:!1};return function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=0,p=uu,d=0,v=0,g=\"right\"===s?1:\"left\"===s?0:.5,y=0,m=0,x=i;m<x.length;m+=1){var b=x[m];b.trim();var _=b.getMaxScale(),w=(_-1)*Ll,T={positionedGlyphs:[],lineOffset:0};t.positionedLines[y]=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,O=null,I=null,z=Ll,D=!(l===lu.horizontal||!c&&!vi(L)||c&&(pu[L]||yi(L)));if(S.imageName){var R=n[S.imageName];if(!R)continue;I=S.imageName,t.iconsInText=t.iconsInText||!0,O=R.paddedRect;var F=R.displaySize;S.scale=S.scale*Ll/f,P={width:F[0],height:F[1],left:iu,top:-ru,advance:D?F[1]:F[0]},C=w+(Ll-F[1]*S.scale),z=P.advance;var B=D?F[0]*S.scale-Ll*_:F[1]*S.scale-Ll*_;B>0&&B>A&&(A=B)}else{var N=r[S.fontStack],j=N&&N[L];if(j&&j.rect)O=j.rect,P=j.metrics;else{var U=e[S.fontStack],V=U&&U[L];if(!V)continue;P=V.metrics}C=(_-S.scale)*Ll}D?(t.verticalizable=!0,k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=z*S.scale+u):(k.push({glyph:L,imageName:I,x:h,y:p+C,vertical:D,scale:S.scale,fontStack:S.fontStack,sectionIndex:E,metrics:P,rect:O}),h+=P.advance*S.scale+u)}if(0!==k.length){var q=h-u;d=Math.max(q,d),wu(k,0,k.length-1,g,A)}h=0;var H=a*_+A;T.lineOffset=Math.max(A,w),p+=H,v=Math.max(H,v),++y}else p+=a,++y}var G=p-uu,W=_u(o),Y=W.horizontalAlign,X=W.verticalAlign;(function(t,e,r,n,i,a,o,s,l){var u=(e-r)*i,c=0;c=a!==o?-s*n-uu:(-n*l+.5)*o;for(var f=0,h=t;f<h.length;f+=1)for(var p=0,d=h[f].positionedGlyphs;p<d.length;p+=1){var v=d[p];v.x+=u,v.y+=c}})(t.positionedLines,g,Y,X,d,v,a,G,i.length),t.top+=-X*G,t.bottom=t.top+G,t.left+=-Y*d,t.right=t.left+d}(C,e,r,n,g,o,s,l,f,u,h,v),!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}fu.fromFeature=function(t,e){for(var r=new fu,n=0;n<t.sections.length;n++){var i=t.sections[n];i.image?r.addImageSection(i):r.addTextSection(i,e)}return r},fu.prototype.length=function(){return this.text.length},fu.prototype.getSection=function(t){return this.sections[this.sectionIndex[t]]},fu.prototype.getSectionIndex=function(t){return this.sectionIndex[t]},fu.prototype.getCharCode=function(t){return this.text.charCodeAt(t)},fu.prototype.verticalizePunctuation=function(){this.text=function(t){for(var e=\"\",r=0;r<t.length;r++){var n=t.charCodeAt(r+1)||null,i=t.charCodeAt(r-1)||null;n&&gi(n)&&!El[t[r+1]]||i&&gi(i)&&!El[t[r-1]]||!El[t[r]]?e+=t[r]:e+=El[t[r]]}return e}(this.text)},fu.prototype.trim=function(){for(var t=0,e=0;e<this.text.length&&pu[this.text.charCodeAt(e)];e++)t++;for(var r=this.text.length,n=this.text.length-1;n>=0&&n>=t&&pu[this.text.charCodeAt(n)];n--)r--;this.text=this.text.substring(t,r),this.sectionIndex=this.sectionIndex.slice(t,r)},fu.prototype.substring=function(t,e){var r=new fu;return r.text=this.text.substring(t,e),r.sectionIndex=this.sectionIndex.slice(t,e),r.sections=this.sections,r},fu.prototype.toString=function(){return this.text},fu.prototype.getMaxScale=function(){var t=this;return this.sectionIndex.reduce((function(e,r){return 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wu(t,e,r,n,i){if(n||i)for(var a=t[r],o=a.metrics.advance*a.scale,s=(t[r].x+o)*n,l=e;l<=r;l++)t[l].x-=s,t[l].y+=i}function Tu(t,e,r,n,i,a){var o,s=t.image;if(s.content){var l=s.content,u=s.pixelRatio||1;o=[l[0]/u,l[1]/u,s.displaySize[0]-l[2]/u,s.displaySize[1]-l[3]/u]}var c,f,h,p,d=e.left*a,v=e.right*a;\"width\"===r||\"both\"===r?(p=i[0]+d-n[3],f=i[0]+v+n[1]):f=(p=i[0]+(d+v-s.displaySize[0])/2)+s.displaySize[0];var g=e.top*a,y=e.bottom*a;return\"height\"===r||\"both\"===r?(c=i[1]+g-n[0],h=i[1]+y+n[2]):h=(c=i[1]+(g+y-s.displaySize[1])/2)+s.displaySize[1],{image:s,top:c,right:f,bottom:h,left:p,collisionPadding:o}}du[10]=!0,du[32]=!0,du[38]=!0,du[40]=!0,du[41]=!0,du[43]=!0,du[45]=!0,du[47]=!0,du[173]=!0,du[183]=!0,du[8203]=!0,du[8208]=!0,du[8211]=!0,du[8231]=!0;var ku=function(t){function e(e,r,n,i){t.call(this,e,r),this.angle=n,void 0!==i&&(this.segment=i)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.clone=function(){return new 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i=t.interpolationType,a=t.minZoom,o=t.maxZoom,s=i?f(wr.interpolationFactor(i,e,a,o),0,1):0;\"camera\"===t.kind?n=er(t.minSize,t.maxSize,s):r=s}return{uSizeT:r,uSize:n}}var Lu=Object.freeze({__proto__:null,getSizeData:Mu,evaluateSizeForFeature:Su,evaluateSizeForZoom:Eu,SIZE_PACK_FACTOR:Au});function Cu(t,e,r,n,i){if(void 0===e.segment)return!0;for(var a=e,o=e.segment+1,s=0;s>-r/2;){if(--o<0)return!1;s-=t[o].dist(a),a=t[o]}s+=t[o].dist(t[o+1]),o++;for(var l=[],u=0;s<r/2;){var c=t[o-1],f=t[o],h=t[o+1];if(!h)return!1;var p=c.angleTo(f)-f.angleTo(h);for(p=Math.abs((p+3*Math.PI)%(2*Math.PI)-Math.PI),l.push({distance:s,angleDelta:p}),u+=p;s-l[0].distance>n;)u-=l.shift().angleDelta;if(u>i)return!1;o++,s+=f.dist(h)}return!0}function Pu(t){for(var e=0,r=0;r<t.length-1;r++)e+=t[r].dist(t[r+1]);return e}function Ou(t,e,r){return t?.6*e*r:0}function Iu(t,e){return Math.max(t?t.right-t.left:0,e?e.right-e.left:0)}function zu(t,e,r,n,i,a){for(var 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a(0,0);c.push({tl:z,tr:D,bl:R,br:F,tex:y,writingMode:e.writingMode,glyphOffset:S,sectionIndex:g.sectionIndex,isSDF:x,pixelOffsetTL:Y,pixelOffsetBR:X,minFontScaleX:0,minFontScaleY:0})}}return c}(0,r,l,i,o,s,n,t.allowVerticalPlacement),y=t.textSizeData,m=null;\"source\"===y.kind?(m=[Au*i.layout.get(\"text-size\").evaluate(s,{})])[0]>ec&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tc+'. Reduce your \"text-size\".'):\"composite\"===y.kind&&((m=[Au*d.compositeTextSizes[0].evaluate(s,{},v),Au*d.compositeTextSizes[1].evaluate(s,{},v)])[0]>ec||m[1]>ec)&&k(t.layerIds[0]+': Value for \"text-size\" is >= '+tc+'. Reduce your \"text-size\".'),t.addSymbols(t.text,g,m,l,o,s,c,e,u.lineStartIndex,u.lineLength,p,v);for(var x=0,b=f;x<b.length;x+=1)h[b[x]]=t.text.placedSymbolArray.length-1;return 4*g.length}function nc(t){for(var e in t)return t[e];return null}function ic(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 ac=tl.VectorTileFeature.types,oc=[{name:\"a_fade_opacity\",components:1,type:\"Uint8\",offset:0}];function sc(t,e,r,n,i,a,o,s,l,u,c,f,h){var p=s?Math.min(ec,Math.round(s[0])):0,d=s?Math.min(ec,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*u,16*c,256*f,256*h)}function lc(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 uc(t){for(var e=0,r=t.sections;e<r.length;e+=1)if(bi(r[e].text))return!0;return!1}var cc=function(t){this.layoutVertexArray=new la,this.indexArray=new va,this.programConfigurations=t,this.segments=new Da,this.dynamicLayoutVertexArray=new ua,this.opacityVertexArray=new ca,this.placedSymbolArray=new Sa};cc.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length&&0===this.indexArray.length&&0===this.dynamicLayoutVertexArray.length&&0===this.opacityVertexArray.length},cc.prototype.upload=function(t,e,r,n){this.isEmpty()||(r&&(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,wl.members),this.indexBuffer=t.createIndexBuffer(this.indexArray,e),this.dynamicLayoutVertexBuffer=t.createVertexBuffer(this.dynamicLayoutVertexArray,Tl.members,!0),this.opacityVertexBuffer=t.createVertexBuffer(this.opacityVertexArray,oc,!0),this.opacityVertexBuffer.itemSize=1),(r||n)&&this.programConfigurations.upload(t))},cc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy(),this.dynamicLayoutVertexBuffer.destroy(),this.opacityVertexBuffer.destroy())},oi(\"SymbolBuffers\",cc);var fc=function(t,e,r){this.layoutVertexArray=new t,this.layoutAttributes=e,this.indexArray=new r,this.segments=new Da,this.collisionVertexArray=new da};fc.prototype.upload=function(t){this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,this.layoutAttributes),this.indexBuffer=t.createIndexBuffer(this.indexArray),this.collisionVertexBuffer=t.createVertexBuffer(this.collisionVertexArray,kl.members,!0)},fc.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.segments.destroy(),this.collisionVertexBuffer.destroy())},oi(\"CollisionBuffers\",fc);var hc=function(t){this.collisionBoxArray=t.collisionBoxArray,this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.pixelRatio=t.pixelRatio,this.sourceLayerIndex=t.sourceLayerIndex,this.hasPattern=!1,this.hasRTLText=!1,this.sortKeyRanges=[],this.collisionCircleArray=[],this.placementInvProjMatrix=Bo([]),this.placementViewportMatrix=Bo([]);var e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=Mu(this.zoom,e[\"text-size\"]),this.iconSizeData=Mu(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.canOverlap=r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\"),this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&this.canOverlap,\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return lu[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};hc.prototype.createArrays=function(){this.text=new cc(new co(this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new cc(new co(this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Ca,this.lineVertexArray=new Pa,this.symbolInstances=new La},hc.prototype.calculateGlyphDependencies=function(t,e,r,n,i){for(var a=0;a<t.length;a++)if(e[t.charCodeAt(a)]=!0,(r||n)&&i){var o=El[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},hc.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 he&&!o.value.value.isEmpty()||o.value.value.toString().length>0)&&(\"constant\"!==a.value.kind||a.value.value.length>0),u=\"constant\"!==s.value.kind||!!s.value.value||Object.keys(s.parameters).length>0,c=i.get(\"symbol-sort-key\");if(this.features=[],l||u){for(var f=e.iconDependencies,h=e.glyphDependencies,p=e.availableImages,d=new zi(this.zoom),v=0,g=t;v<g.length;v+=1){var y=g[v],m=y.feature,x=y.id,b=y.index,_=y.sourceLayerIndex,w=n._featureFilter.needGeometry,T=mo(m,w);if(n._featureFilter.filter(d,T,r)){w||(T.geometry=yo(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=he.factory(A);uc(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===Pi()||this.hasRTLText&&Ii.isParsed())&&(k=Sl(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof pe?E:pe.fromString(E)}if(k||S){var L=this.sortFeaturesByKey?c.evaluate(T,{},r):void 0,C={id:x,text:k,icon:S,index:b,sourceLayerIndex:_,geometry:T.geometry,properties:m.properties,type:ac[m.type],sortKey:L};if(this.features.push(C),S&&(f[S.name]=!0),k){var P=a.evaluate(T,{},r).join(\",\"),O=\"map\"===i.get(\"text-rotation-alignment\")&&\"point\"!==i.get(\"symbol-placement\");this.allowVerticalPlacement=this.writingModes&&this.writingModes.indexOf(lu.vertical)>=0;for(var I=0,z=k.sections;I<z.length;I+=1){var D=z[I];if(D.image)f[D.image.name]=!0;else{var R=di(k.toString()),F=D.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(D.text,B,O,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 u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.text?c.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 v=s(p,d,f),g=o(p,d,n[v].geometry);delete e[p],delete r[d],r[l(h,n[g].geometry,!0)]=g,n[v].geometry=null}else p in r?o(p,d,f):d in e?s(p,d,f):(a(u),e[p]=i-1,r[d]=i-1)}else a(u)}return n.filter((function(t){return t.geometry}))}(this.features)),this.sortFeaturesByKey&&this.features.sort((function(t,e){return t.sortKey-e.sortKey}))}},hc.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))},hc.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},hc.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},hc.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},hc.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},hc.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},hc.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 u=a[l];this.lineVertexArray.emplaceBack(u.x,u.y,u.tileUnitDistanceFromAnchor)}}return{lineStartIndex:r,lineLength:this.lineVertexArray.length-r}},hc.prototype.addSymbols=function(t,e,r,n,i,a,o,s,l,u,c,f){for(var h=t.indexArray,p=t.layoutVertexArray,d=t.segments.prepareSegment(4*e.length,p,h,this.canOverlap?a.sortKey:void 0),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===lu.vertical?Math.PI/2:0,m=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,O=b.sectionIndex,I=d.vertexLength,z=C[1];sc(p,s.x,s.y,_.x,z+_.y,A.x,A.y,r,P,M.x,M.y,E,L),sc(p,s.x,s.y,w.x,z+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),sc(p,s.x,s.y,T.x,z+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),sc(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),lc(t.dynamicLayoutVertexArray,s,y),h.emplaceBack(I,I+1,I+2),h.emplaceBack(I+1,I+2,I+3),d.vertexLength+=4,d.primitiveLength+=2,this.glyphOffsetArray.emplaceBack(C[0]),x!==e.length-1&&O===e[x+1].sectionIndex||t.programConfigurations.populatePaintArrays(p.length,a,a.index,{},f,m&&m[O])}t.placedSymbolArray.emplaceBack(s.x,s.y,v,this.glyphOffsetArray.length-v,g,l,u,s.segment,r?r[0]:0,r?r[1]:0,n[0],n[1],o,0,!1,0,c)},hc.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))},hc.prototype.addCollisionDebugVertices=function(t,e,r,n,i,o,s){var l=i.segments.prepareSegment(4,i.layoutVertexArray,i.indexArray),u=l.vertexLength,c=i.layoutVertexArray,f=i.collisionVertexArray,h=s.anchorX,p=s.anchorY;this._addCollisionDebugVertex(c,f,o,h,p,new a(t,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,e)),this._addCollisionDebugVertex(c,f,o,h,p,new a(r,n)),this._addCollisionDebugVertex(c,f,o,h,p,new a(t,n)),l.vertexLength+=4;var d=i.indexArray;d.emplaceBack(u,u+1),d.emplaceBack(u+1,u+2),d.emplaceBack(u+2,u+3),d.emplaceBack(u+3,u),l.primitiveLength+=4},hc.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,u=a.y2;this.addCollisionDebugVertices(o,s,l,u,n?this.textCollisionBox:this.iconCollisionBox,a.anchorPoint,r)}},hc.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new fc(ha,Al.members,_a),this.iconCollisionBox=new fc(ha,Al.members,_a);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)}},hc.prototype._deserializeCollisionBoxesForSymbol=function(t,e,r,n,i,a,o,s,l){for(var u={},c=e;c<r;c++){var f=t.get(c);u.textBox={x1:f.x1,y1:f.y1,x2:f.x2,y2:f.y2,anchorPointX:f.anchorPointX,anchorPointY:f.anchorPointY},u.textFeatureIndex=f.featureIndex;break}for(var h=n;h<i;h++){var p=t.get(h);u.verticalTextBox={x1:p.x1,y1:p.y1,x2:p.x2,y2:p.y2,anchorPointX:p.anchorPointX,anchorPointY:p.anchorPointY},u.verticalTextFeatureIndex=p.featureIndex;break}for(var d=a;d<o;d++){var v=t.get(d);u.iconBox={x1:v.x1,y1:v.y1,x2:v.x2,y2:v.y2,anchorPointX:v.anchorPointX,anchorPointY:v.anchorPointY},u.iconFeatureIndex=v.featureIndex;break}for(var g=s;g<l;g++){var y=t.get(g);u.verticalIconBox={x1:y.x1,y1:y.y1,x2:y.x2,y2:y.y2,anchorPointX:y.anchorPointX,anchorPointY:y.anchorPointY},u.verticalIconFeatureIndex=y.featureIndex;break}return u},hc.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))}},hc.prototype.hasTextData=function(){return this.text.segments.get().length>0},hc.prototype.hasIconData=function(){return this.icon.segments.get().length>0},hc.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},hc.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},hc.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},hc.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)},hc.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},hc.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})},hc.prototype.sortFeatures=function(t){var e=this;if(this.sortFeaturesByY&&this.sortedAngle!==t&&!(this.text.segments.get().length>1||this.icon.segments.get().length>1)){this.symbolInstanceIndexes=this.getSortedSymbolIndexes(t),this.sortedAngle=t,this.text.indexArray.clear(),this.icon.indexArray.clear(),this.featureSortOrder=[];for(var r=0,n=this.symbolInstanceIndexes;r<n.length;r+=1){var i=n[r],a=this.symbolInstances.get(i);this.featureSortOrder.push(a.featureIndex),[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t,r,n){t>=0&&n.indexOf(t)===r&&e.addIndicesForPlacedSymbol(e.text,t)})),a.verticalPlacedTextSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.text,a.verticalPlacedTextSymbolIndex),a.placedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.placedIconSymbolIndex),a.verticalPlacedIconSymbolIndex>=0&&this.addIndicesForPlacedSymbol(this.icon,a.verticalPlacedIconSymbolIndex)}this.text.indexBuffer&&this.text.indexBuffer.updateData(this.text.indexArray),this.icon.indexBuffer&&this.icon.indexBuffer.updateData(this.icon.indexArray)}},oi(\"SymbolBucket\",hc,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),hc.MAX_GLYPHS=65535,hc.addDynamicAttributes=lc;var pc=new Xi({\"symbol-placement\":new qi(Ft.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new qi(Ft.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new qi(Ft.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Hi(Ft.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new qi(Ft.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new qi(Ft.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new qi(Ft.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new qi(Ft.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new qi(Ft.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Hi(Ft.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new qi(Ft.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new qi(Ft.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Hi(Ft.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Hi(Ft.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new qi(Ft.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new qi(Ft.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Hi(Ft.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Hi(Ft.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new qi(Ft.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new qi(Ft.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new qi(Ft.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Hi(Ft.layout_symbol[\"text-field\"]),\"text-font\":new Hi(Ft.layout_symbol[\"text-font\"]),\"text-size\":new Hi(Ft.layout_symbol[\"text-size\"]),\"text-max-width\":new Hi(Ft.layout_symbol[\"text-max-width\"]),\"text-line-height\":new qi(Ft.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Hi(Ft.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Hi(Ft.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Hi(Ft.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new qi(Ft.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Hi(Ft.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new qi(Ft.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new qi(Ft.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Hi(Ft.layout_symbol[\"text-rotate\"]),\"text-padding\":new qi(Ft.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new qi(Ft.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Hi(Ft.layout_symbol[\"text-transform\"]),\"text-offset\":new Hi(Ft.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new qi(Ft.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new qi(Ft.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new qi(Ft.layout_symbol[\"text-optional\"])}),dc={paint:new Xi({\"icon-opacity\":new Hi(Ft.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Hi(Ft.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Hi(Ft.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Hi(Ft.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Hi(Ft.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new qi(Ft.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new qi(Ft.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Hi(Ft.paint_symbol[\"text-opacity\"]),\"text-color\":new Hi(Ft.paint_symbol[\"text-color\"],{runtimeType:Zt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Hi(Ft.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Hi(Ft.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Hi(Ft.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new qi(Ft.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new qi(Ft.paint_symbol[\"text-translate-anchor\"])}),layout:pc},vc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Gt,this.defaultValue=t};vc.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},vc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},vc.prototype.outputDefined=function(){return!1},vc.prototype.serialize=function(){return null},oi(\"FormatSectionOverride\",vc,{omit:[\"defaultValue\"]});var gc=function(t){function e(e){t.call(this,e,dc)}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()||cn(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 hc(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=dc.paint.overridableProperties;t<r.length;t+=1){var n=r[t];if(e.hasPaintOverride(this.layout,n)){var i,a=this.paint.get(n),o=new vc(a),s=new un(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new hn(\"source\",s):new pn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Ui(a.property,i,a.parameters)}}},e.prototype._handleOverridablePaintPropertyUpdate=function(t,r,n){return!(!this.layout||r.isDataDriven()||n.isDataDriven())&&e.hasPaintOverride(this.layout,t)},e.hasPaintOverride=function(t,e){var r=t.get(\"text-field\"),n=dc.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 he)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof me&&ge(t.value)===Qt){var e=t.value;a(e.sections)}else t instanceof we?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Ki),yc={paint:new Xi({\"background-color\":new qi(Ft.paint_background[\"background-color\"]),\"background-pattern\":new Wi(Ft.paint_background[\"background-pattern\"]),\"background-opacity\":new qi(Ft.paint_background[\"background-opacity\"])})},mc=function(t){function e(e){t.call(this,e,yc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki),xc={paint:new Xi({\"raster-opacity\":new qi(Ft.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new qi(Ft.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new qi(Ft.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new qi(Ft.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new qi(Ft.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new qi(Ft.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new qi(Ft.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new qi(Ft.paint_raster[\"raster-fade-duration\"])})},bc=function(t){function e(e){t.call(this,e,xc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Ki);var _c=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}(Ki),wc={circle:Go,heatmap:es,hillshade:ns,fill:Hs,\"fill-extrusion\":sl,line:bl,symbol:gc,background:mc,raster:bc};var Tc=s.HTMLImageElement,kc=s.HTMLCanvasElement,Ac=s.HTMLVideoElement,Mc=s.ImageData,Sc=s.ImageBitmap,Ec=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};Ec.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 Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?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},u=l.x,c=l.y;t instanceof Tc||t instanceof kc||t instanceof Ac||t instanceof Mc||Sc&&t instanceof Sc?s.texSubImage2D(s.TEXTURE_2D,0,u,c,s.RGBA,s.UNSIGNED_BYTE,t):s.texSubImage2D(s.TEXTURE_2D,0,u,c,n,i,s.RGBA,s.UNSIGNED_BYTE,t.data)}this.useMipmap&&this.isSizePowerOfTwo()&&s.generateMipmap(s.TEXTURE_2D)},Ec.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)},Ec.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},Ec.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var Lc=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()})};Lc.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))},Lc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var Cc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},m([\"receive\",\"process\"],this),this.invoker=new Lc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=S()?t:s};function Pc(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]}Cc.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=C(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ci(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},Cc.prototype.receive=function(t){var e=t.data,r=e.id;if(r&&(!e.targetMapId||this.mapId===e.targetMapId))if(\"<cancel>\"===e.type){delete this.tasks[r];var n=this.cancelCallbacks[r];delete this.cancelCallbacks[r],n&&n()}else S()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},Cc.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)}},Cc.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(fi(e.error)):n(null,fi(e.data)))}else{var i=!1,a=C(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?ci(e):null,data:ci(n,a)},a)}:function(t){i=!0},s=null,l=fi(e.data);if(this.parent[e.type])s=this.parent[e.type](e.sourceMapId,l,o);else if(this.parent.getWorkerSource){var u=e.type.split(\".\");s=this.parent.getWorkerSource(e.sourceMapId,u[0],l.source)[u[1]](l,o)}else o(new Error(\"Could not find function \"+e.type));!i&&s&&s.cancel&&(this.cancelCallbacks[t]=s.cancel)}},Cc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var Oc=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]))};Oc.prototype.setNorthEast=function(t){return this._ne=t instanceof zc?new zc(t.lng,t.lat):zc.convert(t),this},Oc.prototype.setSouthWest=function(t){return this._sw=t instanceof zc?new zc(t.lng,t.lat):zc.convert(t),this},Oc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof zc)e=t,r=t;else{if(!(t instanceof Oc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(Oc.convert(a))}var o=t;return this.extend(zc.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 zc(e.lng,e.lat),this._ne=new zc(r.lng,r.lat)),this},Oc.prototype.getCenter=function(){return new zc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},Oc.prototype.getSouthWest=function(){return this._sw},Oc.prototype.getNorthEast=function(){return this._ne},Oc.prototype.getNorthWest=function(){return new zc(this.getWest(),this.getNorth())},Oc.prototype.getSouthEast=function(){return new zc(this.getEast(),this.getSouth())},Oc.prototype.getWest=function(){return this._sw.lng},Oc.prototype.getSouth=function(){return this._sw.lat},Oc.prototype.getEast=function(){return this._ne.lng},Oc.prototype.getNorth=function(){return this._ne.lat},Oc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},Oc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},Oc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},Oc.prototype.contains=function(t){var e=zc.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},Oc.convert=function(t){return!t||t instanceof Oc?t:new Oc(t)};var Ic=6371008.8,zc=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\")};zc.prototype.wrap=function(){return new zc(h(this.lng,-180,180),this.lat)},zc.prototype.toArray=function(){return[this.lng,this.lat]},zc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},zc.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 Ic*Math.acos(Math.min(i,1))},zc.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 Oc(new zc(this.lng-r,this.lat-e),new zc(this.lng+r,this.lat+e))},zc.convert=function(t){if(t instanceof zc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new zc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new zc(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 Dc=2*Math.PI*Ic;function Rc(t){return Dc*Math.cos(t*Math.PI/180)}function Fc(t){return(180+t)/360}function Bc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function Nc(t,e){return t/Rc(e)}function jc(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Uc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Uc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=zc.convert(t);return new Uc(Fc(r.lng),Bc(r.lat),Nc(e,r.lat))},Uc.prototype.toLngLat=function(){return new zc(360*this.x-180,jc(this.y))},Uc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*Rc(jc(e));var t,e},Uc.prototype.meterInMercatorCoordinateUnits=function(){return 1/Dc*(t=jc(this.y),1/Math.cos(t*Math.PI/180));var t};var Vc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Gc(0,t,t,e,r)};Vc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Vc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=Pc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=Pc(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)},Vc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*po,(t.y*e-this.y)*po)},Vc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var qc=function(t,e){this.wrap=t,this.canonical=e,this.key=Gc(t,e.z,e.z,e.x,e.y)},Hc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Vc(r,+n,+i),this.key=Gc(e,t,r,n,i)};function Gc(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)}Hc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Hc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Hc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Hc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Hc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Gc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Gc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Hc.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},Hc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Hc(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 Hc(e,this.wrap,e,r,n),new Hc(e,this.wrap,e,r+1,n),new Hc(e,this.wrap,e,r,n+1),new Hc(e,this.wrap,e,r+1,n+1)]},Hc.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))},Hc.prototype.wrapped=function(){return new Hc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.unwrapTo=function(t){return new Hc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Hc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Hc.prototype.toUnwrapped=function(){return new qc(this.wrap,this.canonical)},Hc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Hc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Uc(t.x-this.wrap,t.y))},oi(\"CanonicalTileID\",Vc),oi(\"OverscaledTileID\",Hc,{omit:[\"posMatrix\"]});var Wc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return k('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');this.stride=e.height;var n=this.dim=e.height-2;this.data=new Uint32Array(e.data.buffer),this.encoding=r||\"mapbox\";for(var i=0;i<n;i++)this.data[this._idx(-1,i)]=this.data[this._idx(0,i)],this.data[this._idx(n,i)]=this.data[this._idx(n-1,i)],this.data[this._idx(i,-1)]=this.data[this._idx(i,0)],this.data[this._idx(i,n)]=this.data[this._idx(i,n-1)];this.data[this._idx(-1,-1)]=this.data[this._idx(0,0)],this.data[this._idx(n,-1)]=this.data[this._idx(n-1,0)],this.data[this._idx(-1,n)]=this.data[this._idx(0,n-1)],this.data[this._idx(n,n)]=this.data[this._idx(n-1,n-1)]};Wc.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])},Wc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Wc.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)},Wc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Wc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Wc.prototype.getPixels=function(){return new $o({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Wc.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,u=a;u<o;u++)for(var c=n;c<i;c++)this.data[this._idx(c,u)]=t.data[this._idx(c+s,u+l)]},oi(\"DEMData\",Wc);var Yc=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}};Yc.prototype.encode=function(t){return this._stringToNumber[t]},Yc.prototype.decode=function(t){return this._numberToString[t]};var Xc=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},Zc={geometry:{configurable:!0}};Zc.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},Zc.geometry.set=function(t){this._geometry=t},Xc.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(Xc.prototype,Zc);var Kc=function(){this.state={},this.stateChanges={},this.deletedStates={}};Kc.prototype.updateState=function(t,e,r){var n=String(e);if(this.stateChanges[t]=this.stateChanges[t]||{},this.stateChanges[t][n]=this.stateChanges[t][n]||{},p(this.stateChanges[t][n],r),null===this.deletedStates[t])for(var i in this.deletedStates[t]={},this.state[t])i!==n&&(this.deletedStates[t][i]=null);else if(this.deletedStates[t]&&null===this.deletedStates[t][n])for(var a in this.deletedStates[t][n]={},this.state[t][n])r[a]||(this.deletedStates[t][n][a]=null);else for(var o in r)this.deletedStates[t]&&this.deletedStates[t][n]&&null===this.deletedStates[t][n][o]&&delete this.deletedStates[t][n][o]},Kc.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}},Kc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=p({},n[r],i[r]);if(null===this.deletedStates[t])return{};if(this.deletedStates[t]){var o=this.deletedStates[t][e];if(null===o)return{};for(var s in o)delete a[s]}return a},Kc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},Kc.prototype.coalesceChanges=function(t,e){var r={};for(var n in this.stateChanges){this.state[n]=this.state[n]||{};var i={};for(var a in this.stateChanges[n])this.state[n][a]||(this.state[n][a]={}),p(this.state[n][a],this.stateChanges[n][a]),i[a]=this.state[n][a];r[n]=i}for(var o in this.deletedStates){this.state[o]=this.state[o]||{};var s={};if(null===this.deletedStates[o])for(var l in this.state[o])s[l]={},this.state[o][l]={};else for(var u in this.deletedStates[o]){if(null===this.deletedStates[o][u])this.state[o][u]={};else for(var c=0,f=Object.keys(this.deletedStates[o][u]);c<f.length;c+=1){var h=f[c];delete this.state[o][u][h]}s[u]=this.state[o][u]}r[o]=r[o]||{},p(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Jc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new ti(po,16,0),this.grid3D=new ti(po,16,0),this.featureIndexArray=new Ia,this.promoteId=e};function $c(t,e,r,n,i){return b(t,(function(t,a){var o=e instanceof Vi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Qc(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 tf(t,e){return e-t}Jc.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 u=e[l],c=[1/0,1/0,-1/0,-1/0],f=0;f<u.length;f++){var h=u[f];c[0]=Math.min(c[0],h.x),c[1]=Math.min(c[1],h.y),c[2]=Math.max(c[2],h.x),c[3]=Math.max(c[3],h.y)}c[0]<po&&c[1]<po&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Jc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new tl.VectorTile(new Ol(this.rawTileData)).layers,this.sourceLayerCoder=new Yc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Jc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=po/t.tileSize/t.scale,l=An(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Qc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Qc(t.cameraQueryGeometry),d=0,v=this.grid3D.query(p.minX-c,p.minY-c,p.maxX+c,p.maxY+c,(function(e,r,n,i){return function(t,e,r,n,i){for(var o=0,s=t;o<s.length;o+=1){var l=s[o];if(e<=l.x&&r<=l.y&&n>=l.x&&i>=l.y)return!0}var u=[new a(e,r),new a(e,i),new a(n,i),new a(n,r)];if(t.length>2)for(var c=0,f=u;c<f.length;c+=1)if(Co(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(Po(t[h],t[h+1],u))return!0;return!1}(t.cameraQueryGeometry,e-c,r-c,n+c,i+c)}));d<v.length;d+=1){var g=v[d];h.push(g)}h.sort(tf);for(var y,m={},x=function(a){var c=h[a];if(c!==y){y=c;var f=i.featureIndexArray.get(c),p=null;i.loadMatchingFeature(m,f.bucketIndex,f.sourceLayerIndex,f.featureIndex,l,o.layers,o.availableImages,e,r,n,(function(e,r,n){return p||(p=yo(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Jc.prototype.loadMatchingFeature=function(t,e,r,n,i,a,o,s,l,u,c){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),d=this.vtLayers[h].feature(n);if(i.needGeometry){var v=mo(d,!0);if(!i.filter(new zi(this.tileID.overscaledZ),v,this.tileID.canonical))return}else if(!i.filter(new zi(this.tileID.overscaledZ),d))return;for(var g=this.getId(d,h),y=0;y<f.length;y++){var m=f[y];if(!(a&&a.indexOf(m)<0)){var x=s[m];if(x){var b={};void 0!==g&&u&&(b=u.getState(x.sourceLayer||\"_geojsonTileLayer\",g));var _=p({},l[m]);_.paint=$c(_.paint,x.paint,d,b,o),_.layout=$c(_.layout,x.layout,d,b,o);var w=!c||c(d,x,b);if(w){var T=new Xc(d,this.z,this.x,this.y,g);T.layer=_;var k=t[m];void 0===k&&(k=t[m]=[]),k.push({featureIndex:n,feature:T,intersectionZ:w})}}}}}},Jc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=An(i),c=0,f=t;c<f.length;c+=1){var h=f[c];this.loadMatchingFeature(l,r,n,h,u,a,o,s,e)}return l},Jc.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},Jc.prototype.getId=function(t,e){var r=t.id;if(this.promoteId){var n=\"string\"==typeof this.promoteId?this.promoteId:this.promoteId[e];\"boolean\"==typeof(r=t.properties[n])&&(r=Number(r))}return r},oi(\"FeatureIndex\",Jc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var ef=function(t,e){this.tileID=t,this.uid=v(),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\"};ef.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<N.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},ef.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},ef.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 hc){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 hc&&o.hasRTLText){this.hasRTLText=!0,Ii.isLoading()||Ii.isLoaded()||\"deferred\"!==Pi()||Oi();break}}for(var s in this.queryPadding=0,this.buckets){var l=this.buckets[s];this.queryPadding=Math.max(this.queryPadding,e.style.getLayer(s).queryRadius(l))}t.imageAtlas&&(this.imageAtlas=t.imageAtlas),t.glyphAtlasImage&&(this.glyphAtlasImage=t.glyphAtlasImage)}else this.collisionBoxArray=new Aa},ef.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\"},ef.prototype.getBucket=function(t){return this.buckets[t.id]},ef.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 Ec(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new Ec(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},ef.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},ef.prototype.queryRenderedFeatures=function(t,e,r,n,i,a,o,s,l,u){return this.latestFeatureIndex&&this.latestFeatureIndex.rawTileData?this.latestFeatureIndex.query({queryGeometry:n,cameraQueryGeometry:i,scale:a,tileSize:this.tileSize,pixelPosMatrix:u,transform:s,params:o,queryPadding:this.queryPadding*l},t,e,r):{}},ef.prototype.querySourceFeatures=function(t,e){var r=this.latestFeatureIndex;if(r&&r.rawTileData){var n=r.loadVTLayers(),i=e?e.sourceLayer:\"\",a=n._geojsonTileLayer||n[i];if(a)for(var o=An(e&&e.filter),s=this.tileID.canonical,l=s.z,u=s.x,c=s.y,f={z:l,x:u,y:c},h=0;h<a.length;h++){var p=a.feature(h);if(o.needGeometry){var d=mo(p,!0);if(!o.filter(new zi(this.tileID.overscaledZ),d,this.tileID.canonical))continue}else if(!o.filter(new zi(this.tileID.overscaledZ),p))continue;var v=r.getId(p,i),g=new Xc(p,l,u,c,v);g.tile=f,t.push(g)}}},ef.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},ef.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},ef.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=E(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),i=!1;if(this.expirationTime>n)i=!1;else if(e)if(this.expirationTime<e)i=!0;else{var a=this.expirationTime-e;a?this.expirationTime=n+Math.max(a,3e4):i=!0}else i=!0;i?(this.expiredRequestCount++,this.state=\"expired\"):this.expiredRequestCount=0}},ef.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)},ef.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)))}}}},ef.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},ef.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<N.now()},ef.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},ef.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=N.now()+t},ef.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},ef.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 rf=s.performance,nf=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},rf.mark(this._marks.start)};nf.prototype.finish=function(){rf.mark(this._marks.end);var t=rf.getEntriesByName(this._marks.measure);return 0===t.length&&(rf.measure(this._marks.measure,this._marks.start,this._marks.end),t=rf.getEntriesByName(this._marks.measure),rf.clearMarks(this._marks.start),rf.clearMarks(this._marks.end),rf.clearMeasures(this._marks.measure)),t},t.Actor=Cc,t.AlphaImage=Jo,t.CanonicalTileID=Vc,t.CollisionBoxArray=Aa,t.Color=ue,t.DEMData=Wc,t.DataConstantProperty=qi,t.DictionaryCoder=Yc,t.EXTENT=po,t.ErrorEvent=Dt,t.EvaluationParameters=zi,t.Event=zt,t.Evented=Rt,t.FeatureIndex=Jc,t.FillBucket=Us,t.FillExtrusionBucket=il,t.ImageAtlas=su,t.ImagePosition=au,t.LineBucket=vl,t.LngLat=zc,t.LngLatBounds=Oc,t.MercatorCoordinate=Uc,t.ONE_EM=Ll,t.OverscaledTileID=Hc,t.Point=a,t.Point$1=a,t.Properties=Xi,t.Protobuf=Ol,t.RGBAImage=$o,t.RequestManager=W,t.RequestPerformance=nf,t.ResourceType=_t,t.SegmentVector=Da,t.SourceFeatureState=Kc,t.StructArrayLayout1ui2=wa,t.StructArrayLayout2f1f2i16=pa,t.StructArrayLayout2i4=ra,t.StructArrayLayout3ui6=va,t.StructArrayLayout4i8=na,t.SymbolBucket=hc,t.Texture=Ec,t.Tile=ef,t.Transitionable=Fi,t.Uniform1f=Ka,t.Uniform1i=Za,t.Uniform2f=Ja,t.Uniform3f=$a,t.Uniform4f=Qa,t.UniformColor=to,t.UniformMatrix4f=ro,t.UnwrappedTileID=qc,t.ValidationError=Bt,t.WritingMode=lu,t.ZoomHistory=hi,t.add=function(t,e,r){return t[0]=e[0]+r[0],t[1]=e[1]+r[1],t[2]=e[2]+r[2],t},t.addDynamicAttributes=lc,t.asyncAll=function(t,e,r){if(!t.length)return r(null,[]);var n=t.length,i=new Array(t.length),a=null;t.forEach((function(t,o){e(t,(function(t,e){t&&(a=t),i[o]=e,0==--n&&r(a,i)}))}))},t.bezier=u,t.bindAll=m,t.browser=N,t.cacheEntryPossiblyAdded=function(t){++xt>ht&&(t.getActor().send(\"enforceCacheSizeLimit\",ft),xt=0)},t.clamp=f,t.clearTileCache=function(t){var e=s.caches.delete(ct);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Fu,t.clone=function(t){var e=new Fo(16);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e[3]=t[3],e[4]=t[4],e[5]=t[5],e[6]=t[6],e[7]=t[7],e[8]=t[8],e[9]=t[9],e[10]=t[10],e[11]=t[11],e[12]=t[12],e[13]=t[13],e[14]=t[14],e[15]=t[15],e},t.clone$1=w,t.clone$2=function(t){var e=new Fo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=Ml,t.config=j,t.create=function(){var t=new Fo(16);return 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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++)rt(r,t.features[n],e,n);else\"Feature\"===t.type?rt(r,t,e):rt(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=lt(t,1,-1-r,r,0,-1,2,e),a=lt(t,1,1-r,2+r,0,-1,2,e);return(i||a)&&(n=lt(t,1,-r,1+r,0,-1,2,e)||[],i&&(n=gt(i,1).concat(n)),a&&(n=n.concat(gt(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 kt(t,e,r){return 32*((1<<t)*r+e)+t}function At(t,e){var r=t.tileID.canonical;if(!this._geoJSONIndex)return e(null,null);var n=this._geoJSONIndex.getTile(r.z,r.x,r.y);if(!n)return e(null,null);var i=new g(n.features),a=_(i);0===a.byteOffset&&a.byteLength===a.buffer.byteLength||(a=new Uint8Array(a)),e(null,{vectorTile:i,rawData:a.buffer})}V.prototype.load=function(t){var e=this.options,r=e.log,n=e.minZoom,i=e.maxZoom,a=e.nodeSize;r&&console.time(\"total time\");var o=\"prepare \"+t.length+\" points\";r&&console.time(o),this.points=t;for(var s=[],l=0;l<t.length;l++)t[l].geometry&&s.push(H(t[l],l));this.trees[i+1]=new j(s,K,J,a,Float32Array),r&&console.timeEnd(o);for(var u=i;u>=n;u--){var c=+Date.now();s=this._cluster(s,u),this.trees[u]=new j(s,K,J,a,Float32Array),r&&console.log(\"z%d: %d clusters in %dms\",u,s.length,+Date.now()-c)}return r&&console.timeEnd(\"total time\"),this},V.prototype.getClusters=function(t,e){var r=((t[0]+180)%360+360)%360-180,n=Math.max(-90,Math.min(90,t[1])),i=180===t[2]?180:((t[2]+180)%360+360)%360-180,a=Math.max(-90,Math.min(90,t[3]));if(t[2]-t[0]>=360)r=-180,i=180;else if(r>i){var o=this.getClusters([r,n,180,a],e),s=this.getClusters([-180,n,i,a],e);return o.concat(s)}for(var l=this.trees[this._limitZoom(e)],u=[],c=0,f=l.range(Y(r),X(a),Y(i),X(n));c<f.length;c+=1){var h=f[c],p=l.points[h];u.push(p.numPoints?G(p):this.points[p.index])}return u},V.prototype.getChildren=function(t){var e=this._getOriginId(t),r=this._getOriginZoom(t),n=\"No cluster with the specified id.\",i=this.trees[r];if(!i)throw new Error(n);var a=i.points[e];if(!a)throw new Error(n);for(var o=this.options.radius/(this.options.extent*Math.pow(2,r-1)),s=[],l=0,u=i.within(a.x,a.y,o);l<u.length;l+=1){var c=u[l],f=i.points[c];f.parentId===t&&s.push(f.numPoints?G(f):this.points[f.index])}if(0===s.length)throw new Error(n);return s},V.prototype.getLeaves=function(t,e,r){e=e||10,r=r||0;var n=[];return this._appendLeaves(n,t,e,r,0),n},V.prototype.getTile=function(t,e,r){var n=this.trees[this._limitZoom(t)],i=Math.pow(2,t),a=this.options,o=a.extent,s=a.radius/o,l=(r-s)/i,u=(r+1+s)/i,c={features:[]};return this._addTileFeatures(n.range((e-s)/i,l,(e+1+s)/i,u),n.points,e,r,i,c),0===e&&this._addTileFeatures(n.range(1-s/i,l,1,u),n.points,i,r,i,c),e===i-1&&this._addTileFeatures(n.range(0,l,s/i,u),n.points,-1,r,i,c),c.features.length?c:null},V.prototype.getClusterExpansionZoom=function(t){for(var e=this._getOriginZoom(t)-1;e<=this.options.maxZoom;){var r=this.getChildren(t);if(e++,1!==r.length)break;t=r[0].properties.cluster_id}return e},V.prototype._appendLeaves=function(t,e,r,n,i){for(var a=0,o=this.getChildren(e);a<o.length;a+=1){var s=o[a],l=s.properties;if(l&&l.cluster?i+l.point_count<=n?i+=l.point_count:i=this._appendLeaves(t,l.cluster_id,r,n,i):i<n?i++:t.push(s),t.length===r)break}return i},V.prototype._addTileFeatures=function(t,e,r,n,i,a){for(var o=0,s=t;o<s.length;o+=1){var l=e[s[o]],u=l.numPoints,c={type:1,geometry:[[Math.round(this.options.extent*(l.x*i-r)),Math.round(this.options.extent*(l.y*i-n))]],tags:u?W(l):this.points[l.index].properties},f=void 0;u?f=l.id:this.options.generateId?f=l.index:this.points[l.index].id&&(f=this.points[l.index].id),void 0!==f&&(c.id=f),a.features.push(c)}},V.prototype._limitZoom=function(t){return Math.max(this.options.minZoom,Math.min(+t,this.options.maxZoom+1))},V.prototype._cluster=function(t,e){for(var r=[],n=this.options,i=n.radius,a=n.extent,o=n.reduce,s=n.minPoints,l=i/(a*Math.pow(2,e)),u=0;u<t.length;u++){var c=t[u];if(!(c.zoom<=e)){c.zoom=e;for(var f=this.trees[e+1],h=f.within(c.x,c.y,l),p=c.numPoints||1,d=p,v=0,g=h;v<g.length;v+=1){var y=g[v],m=f.points[y];m.zoom>e&&(d+=m.numPoints||1)}if(d>=s){for(var x=c.x*p,b=c.y*p,_=o&&p>1?this._map(c,!0):null,w=(u<<5)+(e+1)+this.points.length,T=0,k=h;T<k.length;T+=1){var A=k[T],M=f.points[A];if(!(M.zoom<=e)){M.zoom=e;var S=M.numPoints||1;x+=M.x*S,b+=M.y*S,M.parentId=w,o&&(_||(_=this._map(c,!0)),o(_,this._map(M)))}}c.parentId=w,r.push(q(x/d,b/d,w,d,_))}else if(r.push(c),d>1)for(var E=0,L=h;E<L.length;E+=1){var C=L[E],P=f.points[C];P.zoom<=e||(P.zoom=e,r.push(P))}}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?Z({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?Z({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,u=l.debug;s.length;){n=s.pop(),r=s.pop(),e=s.pop(),t=s.pop();var c=1<<e,f=kt(e,r,n),h=this.tiles[f];if(!h&&(u>1&&console.time(\"creation\"),h=this.tiles[f]=bt(t,e,r,n,l),this.tileCoords.push({z:e,x:r,y:n}),u)){u>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){u>1&&console.time(\"clipping\");var v,g,y,m,x,b,_=.5*l.buffer/l.extent,w=.5-_,T=.5+_,k=1+_;v=g=y=m=null,x=lt(t,c,r-_,r+T,0,h.minX,h.maxX,l),b=lt(t,c,r+w,r+k,0,h.minX,h.maxX,l),t=null,x&&(v=lt(x,c,n-_,n+T,1,h.minY,h.maxY,l),g=lt(x,c,n+w,n+k,1,h.minY,h.maxY,l),x=null),b&&(y=lt(b,c,n-_,n+T,1,h.minY,h.maxY,l),m=lt(b,c,n+w,n+k,1,h.minY,h.maxY,l),b=null),u>1&&console.timeEnd(\"clipping\"),s.push(v||[],e+1,2*r,2*n),s.push(g||[],e+1,2*r,2*n+1),s.push(y||[],e+1,2*r+1,2*n),s.push(m||[],e+1,2*r+1,2*n+1)}}},Tt.prototype.getTile=function(t,e,r){var n=this.options,i=n.extent,a=n.debug;if(t<0||t>24)return null;var o=1<<t,s=kt(t,e=(e%o+o)%o,r);if(this.tiles[s])return mt(this.tiles[s],i);a>1&&console.log(\"drilling down to z%d-%d-%d\",t,e,r);for(var l,u=t,c=e,f=r;!l&&u>0;)u--,c=Math.floor(c/2),f=Math.floor(f/2),l=this.tiles[kt(u,c,f)];return l&&l.source?(a>1&&console.log(\"found parent tile z%d-%d-%d\",u,c,f),a>1&&console.time(\"drilling down\"),this.splitTile(l.source,u,c,f,t,e,r),a>1&&console.timeEnd(\"drilling 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i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var u={};if(i){var c=i.finish();c&&(u.resourceTiming={},u.resourceTiming[n.source]=JSON.parse(JSON.stringify(c)))}r(null,u)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"))}}},r.prototype.removeSource=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),e()},r.prototype.getClusterExpansionZoom=function(t,e){try{e(null,this._geoJSONIndex.getClusterExpansionZoom(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterChildren=function(t,e){try{e(null,this._geoJSONIndex.getChildren(t.clusterId))}catch(t){e(t)}},r.prototype.getClusterLeaves=function(t,e){try{e(null,this._geoJSONIndex.getLeaves(t.clusterId,t.limit,t.offset))}catch(t){e(t)}},r}(l);var St=function(e){var r=this;this.self=e,this.actor=new t.Actor(e,this),this.layerIndexes={},this.availableImages={},this.workerSourceTypes={vector:l,geojson:Mt},this.workerSources={},this.demWorkerSources={},this.self.registerWorkerSource=function(t,e){if(r.workerSourceTypes[t])throw new Error('Worker source with name \"'+t+'\" already registered.');r.workerSourceTypes[t]=e},this.self.registerRTLTextPlugin=function(e){if(t.plugin.isParsed())throw new Error(\"RTL text plugin already 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s=i([\"transform\",\"WebkitTransform\"]);r.setTransform=function(t,e){t.style[s]=e};var l=!1;try{var u=Object.defineProperty({},\"passive\",{get:function(){l=!0}});t.window.addEventListener(\"test\",u,u),t.window.removeEventListener(\"test\",u,u)}catch(t){l=!1}r.addEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.addEventListener(e,r,n):t.addEventListener(e,r,n.capture)},r.removeEventListener=function(t,e,r,n){void 0===n&&(n={}),\"passive\"in n&&l?t.removeEventListener(e,r,n):t.removeEventListener(e,r,n.capture)};var c=function(e){e.preventDefault(),e.stopPropagation(),t.window.removeEventListener(\"click\",c,!0)};function f(t){var e=t.userImage;return!!(e&&e.render&&e.render())&&(t.data.replace(new Uint8Array(e.data.buffer)),!0)}r.suppressClick=function(){t.window.addEventListener(\"click\",c,!0),t.window.setTimeout((function(){t.window.removeEventListener(\"click\",c,!0)}),0)},r.mousePos=function(e,r){var n=e.getBoundingClientRect();return new 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,u=l.x+1,c=l.y+1,f=this.images[s].data,h=f.width,p=f.height;t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c},{width:h,height:p}),t.RGBAImage.copy(f,o,{x:0,y:p-1},{x:u,y:c-1},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u,y:c+p},{width:h,height:1}),t.RGBAImage.copy(f,o,{x:h-1,y:0},{x:u-1,y:c},{width:1,height:p}),t.RGBAImage.copy(f,o,{x:0,y:0},{x:u+h,y:c},{width:1,height:p})}this.dirty=!0},r.prototype.beginFrame=function(){this.callbackDispatchedThisFrame={}},r.prototype.dispatchRenderCallbacks=function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e];if(!this.callbackDispatchedThisFrame[n]){this.callbackDispatchedThisFrame[n]=!0;var i=this.images[n];f(i)&&this.updateImage(n,i)}}},r}(t.Evented);var p=g,d=g,v=1e20;function g(t,e,r,n,i,a){this.fontSize=t||24,this.buffer=void 0===e?3:e,this.cutoff=n||.25,this.fontFamily=i||\"sans-serif\",this.fontWeight=a||\"normal\",this.radius=r||8;var o=this.size=this.fontSize+2*this.buffer;this.canvas=document.createElement(\"canvas\"),this.canvas.width=this.canvas.height=o,this.ctx=this.canvas.getContext(\"2d\"),this.ctx.font=this.fontWeight+\" \"+this.fontSize+\"px \"+this.fontFamily,this.ctx.textBaseline=\"middle\",this.ctx.fillStyle=\"black\",this.gridOuter=new Float64Array(o*o),this.gridInner=new Float64Array(o*o),this.f=new Float64Array(o),this.d=new Float64Array(o),this.z=new Float64Array(o+1),this.v=new Int16Array(o),this.middle=Math.round(o/2*(navigator.userAgent.indexOf(\"Gecko/\")>=0?1.2:1))}function y(t,e,r,n,i,a,o){for(var s=0;s<e;s++){for(var l=0;l<r;l++)n[l]=t[l*e+s];for(m(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(m(n,i,a,o,e),s=0;s<e;s++)t[l*e+s]=Math.sqrt(i[s])}}function m(t,e,r,n,i){r[0]=0,n[0]=-v,n[1]=+v;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]=+v}for(a=0,o=0;a<i;a++){for(;n[o+1]<a;)o++;e[a]=(a-r[o])*(a-r[o])+t[r[o]]}}g.prototype.draw=function(t){this.ctx.clearRect(0,0,this.size,this.size),this.ctx.fillText(t,this.buffer,this.middle);for(var e=this.ctx.getImageData(0,0,this.size,this.size),r=new Uint8ClampedArray(this.size*this.size),n=0;n<this.size*this.size;n++){var i=e.data[4*n+3]/255;this.gridOuter[n]=1===i?0:0===i?v:Math.pow(Math.max(0,.5-i),2),this.gridInner[n]=1===i?v:0===i?0:Math.pow(Math.max(0,i-.5),2)}for(y(this.gridOuter,this.size,this.size,this.f,this.d,this.v,this.z),y(this.gridInner,this.size,this.size,this.f,this.d,this.v,this.z),n=0;n<this.size*this.size;n++){var a=this.gridOuter[n]-this.gridInner[n];r[n]=Math.max(0,Math.min(255,Math.round(255-255*(a/this.radius+this.cutoff))))}return r},p.default=d;var x=function(t,e){this.requestManager=t,this.localIdeographFontFamily=e,this.entries={}};x.prototype.setURL=function(t){this.url=t},x.prototype.getGlyphs=function(e,r){var n=this,i=[];for(var a in e)for(var o=0,s=e[a];o<s.length;o+=1){var l=s[o];i.push({stack:a,id:l})}t.asyncAll(i,(function(t,e){var r=t.stack,i=t.id,a=n.entries[r];a||(a=n.entries[r]={glyphs:{},requests:{},ranges:{}});var o=a.glyphs[i];if(void 0===o){if(o=n._tinySDF(a,r,i))return a.glyphs[i]=o,void e(null,{stack:r,id:i,glyph:o});var s=Math.floor(i/256);if(256*s>65535)e(new Error(\"glyphs > 65535 not supported\"));else if(a.ranges[s])e(null,{stack:r,id:i,glyph:o});else{var l=a.requests[s];l||(l=a.requests[s]=[],x.loadGlyphRange(r,s,n.url,n.requestManager,(function(t,e){if(e){for(var r in e)n._doesCharSupportLocalGlyph(+r)||(a.glyphs[+r]=e[+r]);a.ranges[s]=!0}for(var i=0,o=l;i<o.length;i+=1)(0,o[i])(t,e);delete a.requests[s]}))),l.push((function(t,n){t?e(t):n&&e(null,{stack:r,id:i,glyph:n[i]||null})}))}}else e(null,{stack:r,id:i,glyph:o})}),(function(t,e){if(t)r(t);else if(e){for(var n={},i=0,a=e;i<a.length;i+=1){var o=a[i],s=o.stack,l=o.id,u=o.glyph;(n[s]||(n[s]={}))[l]=u&&{id:u.id,bitmap:u.bitmap.clone(),metrics:u.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=\"-transition\",T=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,w)?this._transitionable.setTransition(n.slice(0,-11),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),k=function(t,e){this.width=t,this.height=e,this.nextRow=0,this.data=new Uint8Array(this.width*this.height),this.dashEntry={}};k.prototype.getDash=function(t,e){var r=t.join(\",\")+String(e);return this.dashEntry[r]||(this.dashEntry[r]=this.addDash(t,e)),this.dashEntry[r]},k.prototype.getDashRanges=function(t,e,r){var n=[],i=t.length%2==1?-t[t.length-1]*r:0,a=t[0]*r,o=!0;n.push({left:i,right:a,isDash:o,zeroLength:0===t[0]});for(var s=t[0],l=1;l<t.length;l++){o=!o;var u=t[l];i=s*r,a=(s+=u)*r,n.push({left:i,right:a,isDash:o,zeroLength:0===u})}return n},k.prototype.addRoundDash=function(t,e,r){for(var n=e/2,i=-r;i<=r;i++)for(var a=this.nextRow+r+i,o=this.width*a,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=void 0,d=i/r*(n+1);if(l.isDash){var v=n-Math.abs(d);p=Math.sqrt(h*h+v*v)}else p=n-Math.sqrt(h*h+d*d);this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addRegularDash=function(t){for(var e=t.length-1;e>=0;--e){var r=t[e],n=t[e+1];r.zeroLength?t.splice(e,1):n&&n.isDash===r.isDash&&(n.left=r.left,t.splice(e,1))}var i=t[0],a=t[t.length-1];i.isDash===a.isDash&&(i.left=a.left-this.width,a.right=i.right+this.width);for(var o=this.width*this.nextRow,s=0,l=t[s],u=0;u<this.width;u++){u/l.right>1&&(l=t[++s]);var c=Math.abs(u-l.left),f=Math.abs(u-l.right),h=Math.min(c,f),p=l.isDash?h:-h;this.data[o+u]=Math.max(0,Math.min(255,p+128))}},k.prototype.addDash=function(e,r){var n=r?7:0,i=2*n+1;if(this.nextRow+i>this.height)return t.warnOnce(\"LineAtlas out of space\"),null;for(var a=0,o=0;o<e.length;o++)a+=e[o];if(0!==a){var s=this.width/a,l=this.getDashRanges(e,this.width,s);r?this.addRoundDash(l,s,n):this.addRegularDash(l)}var u={y:(this.nextRow+n+.5)/this.height,height:2*n/this.height,width:a};return this.nextRow+=i,this.dirty=!0,u},k.prototype.bind=function(t){var e=t.gl;this.texture?(e.bindTexture(e.TEXTURE_2D,this.texture),this.dirty&&(this.dirty=!1,e.texSubImage2D(e.TEXTURE_2D,0,0,0,this.width,this.height,e.ALPHA,e.UNSIGNED_BYTE,this.data))):(this.texture=e.createTexture(),e.bindTexture(e.TEXTURE_2D,this.texture),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_S,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_WRAP_T,e.REPEAT),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,e.LINEAR),e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,e.LINEAR),e.texImage2D(e.TEXTURE_2D,0,e.ALPHA,this.width,this.height,0,e.ALPHA,e.UNSIGNED_BYTE,this.data))};var A=function e(r,n){this.workerPool=r,this.actors=[],this.currentActor=0,this.id=t.uniqueId();for(var i=this.workerPool.acquire(this.id),a=0;a<i.length;a++){var o=i[a],s=new e.Actor(o,n,this.id);s.name=\"Worker \"+a,this.actors.push(s)}};function M(e,r,n){var i=function(i,a){if(i)return n(i);if(a){var o=t.pick(t.extend(a,e),[\"tiles\",\"minzoom\",\"maxzoom\",\"attribution\",\"mapbox_logo\",\"bounds\",\"scheme\",\"tileSize\",\"encoding\"]);a.vector_layers&&(o.vectorLayers=a.vector_layers,o.vectorLayerIds=o.vectorLayers.map((function(t){return t.id}))),o.tiles=r.canonicalizeTileset(o,e.url),n(null,o)}};return e.url?t.getJSON(r.transformRequest(r.normalizeSourceURL(e.url),t.ResourceType.Source),i):t.browser.frame((function(){return i(null,e)}))}A.prototype.broadcast=function(e,r,n){n=n||function(){},t.asyncAll(this.actors,(function(t,n){t.send(e,r,n)}),n)},A.prototype.getActor=function(){return this.currentActor=(this.currentActor+1)%this.actors.length,this.actors[this.currentActor]},A.prototype.remove=function(){this.actors.forEach((function(t){t.remove()})),this.actors=[],this.workerPool.release(this.id)},A.Actor=t.Actor;var S=function(e,r,n){this.bounds=t.LngLatBounds.convert(this.validateBounds(e)),this.minzoom=r||0,this.maxzoom=n||24};S.prototype.validateBounds=function(t){return Array.isArray(t)&&4===t.length?[Math.max(-180,t[0]),Math.max(-90,t[1]),Math.min(180,t[2]),Math.min(90,t[3])]:[-180,-90,180,90]},S.prototype.contains=function(e){var r=Math.pow(2,e.z),n=Math.floor(t.mercatorXfromLng(this.bounds.getWest())*r),i=Math.floor(t.mercatorYfromLat(this.bounds.getNorth())*r),a=Math.ceil(t.mercatorXfromLng(this.bounds.getEast())*r),o=Math.ceil(t.mercatorYfromLat(this.bounds.getSouth())*r);return e.x>=n&&e.x<a&&e.y>=i&&e.y<o};var E=function(e){function r(r,n,i,a){if(e.call(this),this.id=r,this.dispatcher=i,this.type=\"vector\",this.minzoom=0,this.maxzoom=22,this.scheme=\"xyz\",this.tileSize=512,this.reparseOverscaled=!0,this.isTileClipped=!0,this._loaded=!1,t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\",\"promoteId\"])),this._options=t.extend({type:\"vector\"},n),this._collectResourceTiming=n.collectResourceTiming,512!==this.tileSize)throw new Error(\"vector tile sources must have a tileSize of 512\");this.setEventedParent(a)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles,e.map._requestManager._customAccessToken),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken,e.map._requestManager._customAccessToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setSourceProperty=function(t){this._tileJSONRequest&&this._tileJSONRequest.cancel(),t(),this.map.style.sourceCaches[this.id].clearTiles(),this.load()},r.prototype.setTiles=function(t){var e=this;return this.setSourceProperty((function(){e._options.tiles=t})),this},r.prototype.setUrl=function(t){var e=this;return this.setSourceProperty((function(){e.url=t,e._options.url=t})),this},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.loadTile=function(e,r){var n=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme)),i={request:this.map._requestManager.transformRequest(n,t.ResourceType.Tile),uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,tileSize:this.tileSize*e.tileID.overscaleFactor(),type:this.type,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};function a(n,i){return delete e.request,e.aborted?r(null):n&&404!==n.status?r(n):(i&&i.resourceTiming&&(e.resourceTiming=i.resourceTiming),this.map._refreshExpiredTiles&&i&&e.setExpiryData(i),e.loadVectorData(i,this.map.painter),t.cacheEntryPossiblyAdded(this.dispatcher),r(null),void(e.reloadCallback&&(this.loadTile(e,e.reloadCallback),e.reloadCallback=null)))}i.request.collectResourceTiming=this._collectResourceTiming,e.actor&&\"expired\"!==e.state?\"loading\"===e.state?e.reloadCallback=r:e.request=e.actor.send(\"reloadTile\",i,a.bind(this)):(e.actor=this.dispatcher.getActor(),e.request=e.actor.send(\"loadTile\",i,a.bind(this)))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.actor&&t.actor.send(\"abortTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.unloadTile=function(t){t.unloadVectorData(),t.actor&&t.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id},void 0)},r.prototype.hasTransition=function(){return!1},r}(t.Evented),L=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.dispatcher=i,this.setEventedParent(a),this.type=\"raster\",this.minzoom=0,this.maxzoom=22,this.roundZoom=!0,this.scheme=\"xyz\",this.tileSize=512,this._loaded=!1,this._options=t.extend({type:\"raster\"},n),t.extend(this,t.pick(n,[\"url\",\"scheme\",\"tileSize\"]))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this._loaded=!1,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._tileJSONRequest=M(this._options,this.map._requestManager,(function(r,n){e._tileJSONRequest=null,e._loaded=!0,r?e.fire(new t.ErrorEvent(r)):n&&(t.extend(e,n),n.bounds&&(e.tileBounds=new S(n.bounds,e.minzoom,e.maxzoom)),t.postTurnstileEvent(n.tiles),t.postMapLoadEvent(n.tiles,e.map._getMapId(),e.map._requestManager._skuToken),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"metadata\"})),e.fire(new t.Event(\"data\",{dataType:\"source\",sourceDataType:\"content\"})))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.onRemove=function(){this._tileJSONRequest&&(this._tileJSONRequest.cancel(),this._tileJSONRequest=null)},r.prototype.serialize=function(){return t.extend({},this._options)},r.prototype.hasTile=function(t){return!this.tileBounds||this.tileBounds.contains(t.canonical)},r.prototype.loadTile=function(e,r){var n=this,i=this.map._requestManager.normalizeTileURL(e.tileID.canonical.url(this.tiles,this.scheme),this.tileSize);e.request=t.getImage(this.map._requestManager.transformRequest(i,t.ResourceType.Tile),(function(i,a){if(delete e.request,e.aborted)e.state=\"unloaded\",r(null);else if(i)e.state=\"errored\",r(i);else if(a){n.map._refreshExpiredTiles&&e.setExpiryData(a),delete a.cacheControl,delete a.expires;var o=n.map.painter.context,s=o.gl;e.texture=n.map.painter.getTileTexture(a.width),e.texture?e.texture.update(a,{useMipmap:!0}):(e.texture=new t.Texture(o,a,s.RGBA,{useMipmap:!0}),e.texture.bind(s.LINEAR,s.CLAMP_TO_EDGE,s.LINEAR_MIPMAP_NEAREST),o.extTextureFilterAnisotropic&&s.texParameterf(s.TEXTURE_2D,o.extTextureFilterAnisotropic.TEXTURE_MAX_ANISOTROPY_EXT,o.extTextureFilterAnisotropicMax)),e.state=\"loaded\",t.cacheEntryPossiblyAdded(n.dispatcher),r(null)}}))},r.prototype.abortTile=function(t,e){t.request&&(t.request.cancel(),delete t.request),e()},r.prototype.unloadTile=function(t,e){t.texture&&this.map.painter.saveTileTexture(t.texture),e()},r.prototype.hasTransition=function(){return!1},r}(t.Evented),C=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}(L),P=function(e){function r(r,n,i,a){e.call(this),this.id=r,this.type=\"geojson\",this.minzoom=0,this.maxzoom=18,this.tileSize=512,this.isTileClipped=!0,this.reparseOverscaled=!0,this._removed=!1,this._loaded=!1,this.actor=i.getActor(),this.setEventedParent(a),this._data=n.data,this._options=t.extend({},n),this._collectResourceTiming=n.collectResourceTiming,this._resourceTiming=[],void 0!==n.maxzoom&&(this.maxzoom=n.maxzoom),n.type&&(this.type=n.type),n.attribution&&(this.attribution=n.attribution),this.promoteId=n.promoteId;var o=t.EXTENT/this.tileSize;this.workerOptions=t.extend({source:this.id,cluster:n.cluster||!1,geojsonVtOptions:{buffer:(void 0!==n.buffer?n.buffer:128)*o,tolerance:(void 0!==n.tolerance?n.tolerance:.375)*o,extent:t.EXTENT,maxZoom:this.maxzoom,lineMetrics:n.lineMetrics||!1,generateId:n.generateId||!1},superclusterOptions:{maxZoom:void 0!==n.clusterMaxZoom?Math.min(n.clusterMaxZoom,this.maxzoom-1):this.maxzoom-1,minPoints:Math.max(2,n.clusterMinPoints||2),extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties,filter:n.filter},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),O=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 u=i-r,c=a-n,f=Math.max(u,c),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,O.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 z=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,O.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),D=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,O.members)),this.boundsSegments||(this.boundsSegments=t.SegmentVector.simpleSegment(0,0,4,2)),this.texture?(e||this._playing)&&this.texture.update(this.canvas,{premultiply:!0}):this.texture=new t.Texture(r,this.canvas,n.RGBA,{premultiply:!0}),this.tiles){var a=this.tiles[i];\"loaded\"!==a.state&&(a.state=\"loaded\",a.texture=this.texture)}}},r.prototype.serialize=function(){return{type:\"canvas\",coordinates:this.coordinates}},r.prototype.hasTransition=function(){return this._playing},r.prototype._hasInvalidDimensions=function(){for(var t=0,e=[this.canvas.width,this.canvas.height];t<e.length;t+=1){var r=e[t];if(isNaN(r)||r<=0)return!0}return!1},r}(I),R={vector:E,raster:L,\"raster-dem\":C,geojson:P,video:z,image:I,canvas:D};function F(e,r){var n=t.identity([]);return t.translate(n,n,[1,1,0]),t.scale(n,n,[.5*e.width,.5*e.height,1]),t.multiply(n,n,e.calculatePosMatrix(r.toUnwrapped()))}function B(t,e,r,n,i,a){var o=function(t,e,r){if(t)for(var n=0,i=t;n<i.length;n+=1){var a=e[i[n]];if(a&&a.source===r&&\"fill-extrusion\"===a.type)return!0}else for(var o in e){var s=e[o];if(s.source===r&&\"fill-extrusion\"===s.type)return!0}return!1}(i&&i.layers,e,t.id),s=a.maxPitchScaleFactor(),l=t.tilesIn(n,s,o);l.sort(N);for(var u=[],c=0,f=l;c<f.length;c+=1){var h=f[c];u.push({wrappedTileID:h.tileID.wrapped().key,queryResults:h.tile.queryRenderedFeatures(e,r,t._state,h.queryGeometry,h.cameraQueryGeometry,h.scale,i,a,s,F(t.transform,h.tileID))})}var p=function(t){for(var e={},r={},n=0,i=t;n<i.length;n+=1){var a=i[n],o=a.queryResults,s=a.wrappedTileID,l=r[s]=r[s]||{};for(var u in o)for(var 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Mt=function(t,e,r){this.func=t,this.mask=e,this.range=r};Mt.ReadOnly=!1,Mt.ReadWrite=!0,Mt.disabled=new Mt(519,Mt.ReadOnly,[0,1]);var St=7680,Et=function(t,e,r,n,i,a){this.test=t,this.ref=e,this.mask=r,this.fail=n,this.depthFail=i,this.pass=a};Et.disabled=new Et({func:519,mask:0},0,0,St,St,St);var Lt=function(t,e,r){this.blendFunction=t,this.blendColor=e,this.mask=r};Lt.Replace=[1,0],Lt.disabled=new Lt(Lt.Replace,t.Color.transparent,[!1,!1,!1,!1]),Lt.unblended=new Lt(Lt.Replace,t.Color.transparent,[!0,!0,!0,!0]),Lt.alphaBlended=new Lt([1,771],t.Color.transparent,[!0,!0,!0,!0]);var Ct=function(t,e,r){this.enable=t,this.mode=e,this.frontFace=r};Ct.disabled=new Ct(!1,1029,2305),Ct.backCCW=new Ct(!0,1029,2305);var Pt=function(t){this.gl=t,this.extVertexArrayObject=this.gl.getExtension(\"OES_vertex_array_object\"),this.clearColor=new G(this),this.clearDepth=new W(this),this.clearStencil=new Y(this),this.colorMask=new X(this),this.depthMask=new Z(this),this.stencilMask=new K(this),this.stencilFunc=new J(this),this.stencilOp=new $(this),this.stencilTest=new Q(this),this.depthRange=new tt(this),this.depthTest=new et(this),this.depthFunc=new rt(this),this.blend=new nt(this),this.blendFunc=new it(this),this.blendColor=new at(this),this.blendEquation=new ot(this),this.cullFace=new st(this),this.cullFaceSide=new lt(this),this.frontFace=new ut(this),this.program=new ct(this),this.activeTexture=new ft(this),this.viewport=new ht(this),this.bindFramebuffer=new pt(this),this.bindRenderbuffer=new dt(this),this.bindTexture=new vt(this),this.bindVertexBuffer=new gt(this),this.bindElementBuffer=new yt(this),this.bindVertexArrayOES=this.extVertexArrayObject&&new mt(this),this.pixelStoreUnpack=new xt(this),this.pixelStoreUnpackPremultiplyAlpha=new bt(this),this.pixelStoreUnpackFlipY=new _t(this),this.extTextureFilterAnisotropic=t.getExtension(\"EXT_texture_filter_anisotropic\")||t.getExtension(\"MOZ_EXT_texture_filter_anisotropic\")||t.getExtension(\"WEBKIT_EXT_texture_filter_anisotropic\"),this.extTextureFilterAnisotropic&&(this.extTextureFilterAnisotropicMax=t.getParameter(this.extTextureFilterAnisotropic.MAX_TEXTURE_MAX_ANISOTROPY_EXT)),this.extTextureHalfFloat=t.getExtension(\"OES_texture_half_float\"),this.extTextureHalfFloat&&(t.getExtension(\"OES_texture_half_float_linear\"),this.extRenderToTextureHalfFloat=t.getExtension(\"EXT_color_buffer_half_float\")),this.extTimerQuery=t.getExtension(\"EXT_disjoint_timer_query\"),this.maxTextureSize=t.getParameter(t.MAX_TEXTURE_SIZE)};Pt.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()},Pt.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},Pt.prototype.createIndexBuffer=function(t,e){return new U(this,t,e)},Pt.prototype.createVertexBuffer=function(t,e,r){return new q(this,t,e,r)},Pt.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},Pt.prototype.createFramebuffer=function(t,e,r){return new At(this,t,e,r)},Pt.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)},Pt.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))},Pt.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)},Pt.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)},Pt.prototype.setColorMode=function(e){t.deepEqual(e.blendFunction,Lt.Replace)?this.blend.set(!1):(this.blend.set(!0),this.blendFunc.set(e.blendFunction),this.blendColor.set(e.blendColor)),this.colorMask.set(e.mask)},Pt.prototype.unbindVAO=function(){this.extVertexArrayObject&&this.bindVertexArrayOES.set(null)};var Ot=function(e){function r(r,n,i){var a=this;e.call(this),this.id=r,this.dispatcher=i,this.on(\"data\",(function(t){\"source\"===t.dataType&&\"metadata\"===t.sourceDataType&&(a._sourceLoaded=!0),a._sourceLoaded&&!a._paused&&\"source\"===t.dataType&&\"content\"===t.sourceDataType&&(a.reload(),a.transform&&a.update(a.transform))})),this.on(\"error\",(function(){a._sourceErrored=!0})),this._source=function(e,r,n,i){var a=new R[r.type](e,r,n,i);if(a.id!==e)throw new Error(\"Expected Source id to be \"+e+\" instead of \"+a.id);return t.bindAll([\"load\",\"abort\",\"unload\",\"serialize\",\"prepare\"],a),a}(r,n,i,this),this._tiles={},this._cache=new j(0,this._unloadTile.bind(this)),this._timers={},this._cacheTimers={},this._maxTileCacheSize=null,this._loadedParentTiles={},this._coveredTiles={},this._state=new t.SourceFeatureState}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.onAdd=function(t){this.map=t,this._maxTileCacheSize=t?t._maxTileCacheSize:null,this._source&&this._source.onAdd&&this._source.onAdd(t)},r.prototype.onRemove=function(t){this._source&&this._source.onRemove&&this._source.onRemove(t)},r.prototype.loaded=function(){if(this._sourceErrored)return!0;if(!this._sourceLoaded)return!1;if(!this._source.loaded())return!1;for(var t in this._tiles){var e=this._tiles[t];if(\"loaded\"!==e.state&&\"errored\"!==e.state)return!1}return!0},r.prototype.getSource=function(){return this._source},r.prototype.pause=function(){this._paused=!0},r.prototype.resume=function(){if(this._paused){var t=this._shouldReloadOnResume;this._paused=!1,this._shouldReloadOnResume=!1,t&&this.reload(),this.transform&&this.update(this.transform)}},r.prototype._loadTile=function(t,e){return this._source.loadTile(t,e)},r.prototype._unloadTile=function(t){if(this._source.unloadTile)return this._source.unloadTile(t,(function(){}))},r.prototype._abortTile=function(t){if(this._source.abortTile)return this._source.abortTile(t,(function(){}))},r.prototype.serialize=function(){return this._source.serialize()},r.prototype.prepare=function(t){for(var e in this._source.prepare&&this._source.prepare(),this._state.coalesceChanges(this._tiles,this.map?this.map.painter:null),this._tiles){var r=this._tiles[e];r.upload(t),r.prepare(this.map.style.imageManager)}},r.prototype.getIds=function(){return t.values(this._tiles).map((function(t){return t.tileID})).sort(It).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(It).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(zt(this._source.type)){for(var u={},c={},f=0,h=Object.keys(l);f<h.length;f+=1){var p=h[f],d=l[p],v=this._tiles[p];if(v&&!(v.fadeEndTime&&v.fadeEndTime<=t.browser.now())){var g=this.findLoadedParent(d,o);g&&(this._addTile(g.tileID),u[g.tileID.key]=g.tileID),c[p]=d}}for(var y in this._retainLoadedChildren(c,a,s,l),u)l[y]||(this._coveredTiles[y]=!0,l[y]=u[y])}for(var m in l)this._tiles[m].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,u=t;l<u.length;l+=1){var c=u[l],f=this._addTile(c);n[c.key]=c,f.hasData()||e<this._source.maxzoom&&(s[c.key]=c)}this._retainLoadedChildren(s,e,o,n);for(var h=0,p=t;h<p.length;h+=1){var d=p[h],v=this._tiles[d.key];if(!v.hasData()){if(e+1>this._source.maxzoom){var g=d.children(this._source.maxzoom)[0],y=this.getTile(g);if(y&&y.hasData()){n[g.key]=g;continue}}else{var m=d.children(this._source.maxzoom);if(n[m[0].key]&&n[m[1].key]&&n[m[2].key]&&n[m[3].key])continue}for(var x=v.wasRequested(),b=d.overscaledZ-1;b>=a;--b){var _=d.scaledTo(b);if(i[_.key])break;if(i[_.key]=!0,!(v=this.getTile(_))&&x&&(v=this._addTile(_)),v&&(n[_.key]=_,x=v.wasRequested(),v.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)})),u=s.map((function(t){return o.pointCoordinate(t)})),c=this.getIds(),f=1/0,h=1/0,p=-1/0,d=-1/0,v=0,g=u;v<g.length;v+=1){var y=g[v];f=Math.min(f,y.x),h=Math.min(h,y.y),p=Math.max(p,y.x),d=Math.max(d,y.y)}for(var m=function(e){var n=i._tiles[c[e]];if(!n.holdingForFade()){var s=n.tileID,v=Math.pow(2,o.zoom-n.tileID.overscaledZ),g=r*n.queryPadding*t.EXTENT/n.tileSize/v,y=[s.getTilePoint(new t.MercatorCoordinate(f,h)),s.getTilePoint(new t.MercatorCoordinate(p,d))];if(y[0].x-g<t.EXTENT&&y[0].y-g<t.EXTENT&&y[1].x+g>=0&&y[1].y+g>=0){var m=l.map((function(t){return s.getTilePoint(t)})),x=u.map((function(t){return s.getTilePoint(t)}));a.push({tile:n,tileID:s,queryGeometry:m,cameraQueryGeometry:x,scale:v})}}},x=0;x<c.length;x++)m(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(zt(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 It(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 zt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function Dt(){return new t.window.Worker(oa.workerUrl)}Ot.maxOverzooming=10,Ot.maxUnderzooming=3;var Rt=\"mapboxgl_preloaded_worker_pool\",Ft=function(){this.active={}};Ft.prototype.acquire=function(t){if(!this.workers)for(this.workers=[];this.workers.length<Ft.workerCount;)this.workers.push(new Dt);return this.active[t]=!0,this.workers.slice()},Ft.prototype.release=function(t){delete this.active[t],0===this.numActive()&&(this.workers.forEach((function(t){t.terminate()})),this.workers=null)},Ft.prototype.isPreloaded=function(){return!!this.active[Rt]},Ft.prototype.numActive=function(){return Object.keys(this.active).length};var Bt,Nt=Math.floor(t.browser.hardwareConcurrency/2);function jt(){return Bt||(Bt=new Ft),Bt}function Ut(e,r){var n={};for(var i in e)\"ref\"!==i&&(n[i]=e[i]);return t.refProperties.forEach((function(t){t in r&&(n[t]=r[t])})),n}function Vt(t){t=t.slice();for(var e=Object.create(null),r=0;r<t.length;r++)e[t[r].id]=t[r];for(var n=0;n<t.length;n++)\"ref\"in t[n]&&(t[n]=Ut(t[n],e[t[n].ref]));return t}Ft.workerCount=Math.max(Math.min(Nt,6),1);var qt={setStyle:\"setStyle\",addLayer:\"addLayer\",removeLayer:\"removeLayer\",setPaintProperty:\"setPaintProperty\",setLayoutProperty:\"setLayoutProperty\",setFilter:\"setFilter\",addSource:\"addSource\",removeSource:\"removeSource\",setGeoJSONSourceData:\"setGeoJSONSourceData\",setLayerZoomRange:\"setLayerZoomRange\",setLayerProperty:\"setLayerProperty\",setCenter:\"setCenter\",setZoom:\"setZoom\",setBearing:\"setBearing\",setPitch:\"setPitch\",setSprite:\"setSprite\",setGlyphs:\"setGlyphs\",setTransition:\"setTransition\",setLight:\"setLight\"};function Ht(t,e,r){r.push({command:qt.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:qt.removeSource,args:[t]}),r[t]=!0}function Wt(t,e,r,n){Gt(t,r,n),Ht(t,e,r)}function Yt(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 Xt(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 Zt(t){return t.id}function Kt(t,e){return t[e.id]=e,t}function Jt(e,r){if(!e)return[{command:qt.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:qt.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:qt.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:qt.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:qt.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:qt.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:qt.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:qt.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:qt.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:qt.setLight,args:[r.light]});var i={},a=[];!function(e,r,n,i){var a;for(a in r=r||{},e=e||{})e.hasOwnProperty(a)&&(r.hasOwnProperty(a)||Gt(a,n,i));for(a in r)r.hasOwnProperty(a)&&(e.hasOwnProperty(a)?t.deepEqual(e[a],r[a])||(\"geojson\"===e[a].type&&\"geojson\"===r[a].type&&Yt(e,r,a)?n.push({command:qt.setGeoJSONSourceData,args:[a,r[a].data]}):Wt(a,r,n,i)):Ht(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:qt.removeLayer,args:[t.id]}):o.push(t)})),n=n.concat(a),function(e,r,n){r=r||[];var i,a,o,s,l,u,c,f=(e=e||[]).map(Zt),h=r.map(Zt),p=e.reduce(Kt,{}),d=r.reduce(Kt,{}),v=f.slice(),g=Object.create(null);for(i=0,a=0;i<f.length;i++)o=f[i],d.hasOwnProperty(o)?a++:(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.indexOf(o,a),1));for(i=0,a=0;i<h.length;i++)o=h[h.length-1-i],v[v.length-1-i]!==o&&(p.hasOwnProperty(o)?(n.push({command:qt.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:qt.addLayer,args:[d[o],u]}),v.splice(v.length-i,0,o),g[o]=!0);for(i=0;i<h.length;i++)if(s=p[o=h[i]],l=d[o],!g[o]&&!t.deepEqual(s,l))if(t.deepEqual(s.source,l.source)&&t.deepEqual(s[\"source-layer\"],l[\"source-layer\"])&&t.deepEqual(s.type,l.type)){for(c in Xt(s.layout,l.layout,n,o,null,qt.setLayoutProperty),Xt(s.paint,l.paint,n,o,null,qt.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:qt.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:qt.setLayerZoomRange,args:[o,l.minzoom,l.maxzoom]}),s)s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}));for(c in l)l.hasOwnProperty(c)&&!s.hasOwnProperty(c)&&\"layout\"!==c&&\"paint\"!==c&&\"filter\"!==c&&\"metadata\"!==c&&\"minzoom\"!==c&&\"maxzoom\"!==c&&(0===c.indexOf(\"paint.\")?Xt(s[c],l[c],n,o,c.slice(6),qt.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:qt.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:qt.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:qt.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:qt.setStyle,args:[r]}]}return n}var $t=function(t,e){this.reset(t,e)};$t.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},$t.prototype.lerp=function(e){if(1===this.points.length)return this.points[0];e=t.clamp(e,0,1);for(var r=1,n=this._distances[r],i=e*this.paddedLength+this.padding;n<i&&r<this._distances.length;)n=this._distances[++r];var a=r-1,o=this._distances[a],s=n-o,l=s>0?(i-o)/s:0;return this.points[a].mult(1-l).add(this.points[r].mult(l))};var Qt=function(t,e,r){var n=this.boxCells=[],i=this.circleCells=[];this.xCellCount=Math.ceil(t/r),this.yCellCount=Math.ceil(e/r);for(var a=0;a<this.xCellCount*this.yCellCount;a++)n.push([]),i.push([]);this.circleKeys=[],this.boxKeys=[],this.bboxes=[],this.circles=[],this.width=t,this.height=e,this.xScale=this.xCellCount/t,this.yScale=this.yCellCount/e,this.boxUid=0,this.circleUid=0};function te(e,r,n,i,a){var o=t.create();return r?(t.scale(o,o,[1/a,1/a,1]),n||t.rotateZ(o,o,i.angle)):t.multiply(o,i.labelPlaneMatrix,e),o}function ee(e,r,n,i,a){if(r){var o=t.clone(e);return t.scale(o,o,[a,a,1]),n||t.rotateZ(o,o,-i.angle),o}return i.glCoordMatrix}function re(e,r){var n=[e.x,e.y,0,1];pe(n,n,r);var i=n[3];return{point:new t.Point(n[0]/i,n[1]/i),signedDistanceFromCamera:i}}function ne(t,e){return.5+t/e*.5}function ie(t,e){var r=t[0]/t[3],n=t[1]/t[3];return r>=-e[0]&&r<=e[0]&&n>=-e[1]&&n<=e[1]}function ae(e,r,n,i,a,o,s,l){var u=i?e.textSizeData:e.iconSizeData,c=t.evaluateSizeForZoom(u,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,v=n.transform.width/n.transform.height,g=!1,y=0;y<d.length;y++){var m=d.get(y);if(m.hidden||m.writingMode===t.WritingMode.vertical&&!g)he(m.numGlyphs,h);else{g=!1;var x=[m.anchorX,m.anchorY,0,1];if(t.transformMat4(x,x,r),ie(x,f)){var b=x[3],_=ne(n.transform.cameraToCenterDistance,b),w=t.evaluateSizeForFeature(u,c,m),T=s?w/_:w*_,k=new t.Point(m.anchorX,m.anchorY),A=re(k,a).point,M={},S=le(m,T,!1,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v);g=S.useVertical,(S.notEnoughRoom||g||S.needsFlipping&&le(m,T,!0,l,r,a,o,e.glyphOffsetArray,p,h,A,k,M,v).notEnoughRoom)&&he(m.numGlyphs,h)}else he(m.numGlyphs,h)}}i?e.text.dynamicLayoutVertexBuffer.updateData(h):e.icon.dynamicLayoutVertexBuffer.updateData(h)}function oe(t,e,r,n,i,a,o,s,l,u,c){var f=s.glyphStartIndex+s.numGlyphs,h=s.lineStartIndex,p=s.lineStartIndex+s.lineLength,d=e.getoffsetX(s.glyphStartIndex),v=e.getoffsetX(f-1),g=ce(t*d,r,n,i,a,o,s.segment,h,p,l,u,c);if(!g)return null;var y=ce(t*v,r,n,i,a,o,s.segment,h,p,l,u,c);return y?{first:g,last:y}:null}function se(e,r,n,i){return e===t.WritingMode.horizontal&&Math.abs(n.y-r.y)>Math.abs(n.x-r.x)*i?{useVertical:!0}:(e===t.WritingMode.vertical?r.y<n.y:r.x>n.x)?{needsFlipping:!0}:null}function le(e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=r/24,y=e.lineOffsetX*g,m=e.lineOffsetY*g;if(e.numGlyphs>1){var x=e.glyphStartIndex+e.numGlyphs,b=e.lineStartIndex,_=e.lineStartIndex+e.lineLength,w=oe(g,l,y,m,n,f,h,e,u,o,p);if(!w)return{notEnoughRoom:!0};var T=re(w.first.point,s).point,k=re(w.last.point,s).point;if(i&&!n){var A=se(e.writingMode,T,k,d);if(A)return A}v=[w.first];for(var M=e.glyphStartIndex+1;M<x-1;M++)v.push(ce(g*l.getoffsetX(M),y,m,n,f,h,e.segment,b,_,u,o,p));v.push(w.last)}else{if(i&&!n){var S=re(h,a).point,E=e.lineStartIndex+e.segment+1,L=new t.Point(u.getx(E),u.gety(E)),C=re(L,a),P=C.signedDistanceFromCamera>0?C.point:ue(h,L,S,1,a),O=se(e.writingMode,S,P,d);if(O)return O}var I=ce(g*l.getoffsetX(e.glyphStartIndex),y,m,n,f,h,e.segment,e.lineStartIndex,e.lineStartIndex+e.lineLength,u,o,p);if(!I)return{notEnoughRoom:!0};v=[I]}for(var z=0,D=v;z<D.length;z+=1){var R=D[z];t.addDynamicAttributes(c,R.point,R.angle)}return{}}function ue(t,e,r,n,i){var a=re(t.add(t.sub(e)._unit()),i).point,o=r.sub(a);return r.add(o._mult(n/o.mag()))}function ce(e,r,n,i,a,o,s,l,u,c,f,h){var p=i?e-r:e+r,d=p>0?1:-1,v=0;i&&(d*=-1,v=Math.PI),d<0&&(v+=Math.PI);for(var g=d>0?l+s:l+s+1,y=a,m=a,x=0,b=0,_=Math.abs(p),w=[];x+b<=_;){if((g+=d)<l||g>=u)return null;if(m=y,w.push(y),void 0===(y=h[g])){var T=new t.Point(c.getx(g),c.gety(g)),k=re(T,f);if(k.signedDistanceFromCamera>0)y=h[g]=k.point;else{var A=g-d;y=ue(0===x?o:new t.Point(c.getx(A),c.gety(A)),T,m,_-x+1,f)}}x+=b,b=m.dist(y)}var M=(_-x)/b,S=y.sub(m),E=S.mult(M)._add(m);E._add(S._unit()._perp()._mult(n*d));var L=v+Math.atan2(y.y-m.y,y.x-m.x);return w.push(E),{point:E,angle:L,path:w}}Qt.prototype.keysLength=function(){return this.boxKeys.length+this.circleKeys.length},Qt.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertBoxCell,this.boxUid++),this.boxKeys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Qt.prototype.insertCircle=function(t,e,r,n){this._forEachCell(e-n,r-n,e+n,r+n,this._insertCircleCell,this.circleUid++),this.circleKeys.push(t),this.circles.push(e),this.circles.push(r),this.circles.push(n)},Qt.prototype._insertBoxCell=function(t,e,r,n,i,a){this.boxCells[i].push(a)},Qt.prototype._insertCircleCell=function(t,e,r,n,i,a){this.circleCells[i].push(a)},Qt.prototype._query=function(t,e,r,n,i,a){if(r<0||t>this.width||n<0||e>this.height)return!i&&[];var o=[];if(t<=0&&e<=0&&this.width<=r&&this.height<=n){if(i)return!0;for(var s=0;s<this.boxKeys.length;s++)o.push({key:this.boxKeys[s],x1:this.bboxes[4*s],y1:this.bboxes[4*s+1],x2:this.bboxes[4*s+2],y2:this.bboxes[4*s+3]});for(var l=0;l<this.circleKeys.length;l++){var u=this.circles[3*l],c=this.circles[3*l+1],f=this.circles[3*l+2];o.push({key:this.circleKeys[l],x1:u-f,y1:c-f,x2:u+f,y2:c+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},Qt.prototype._queryCircle=function(t,e,r,n,i){var a=t-r,o=t+r,s=e-r,l=e+r;if(o<0||a>this.width||l<0||s>this.height)return!n&&[];var u=[],c={hitTest:n,circle:{x:t,y:e,radius:r},seenUids:{box:{},circle:{}}};return this._forEachCell(a,s,o,l,this._queryCellCircle,u,c,i),n?u.length>0:u},Qt.prototype.query=function(t,e,r,n,i){return this._query(t,e,r,n,!1,i)},Qt.prototype.hitTest=function(t,e,r,n,i){return this._query(t,e,r,n,!0,i)},Qt.prototype.hitTestCircle=function(t,e,r,n){return this._queryCircle(t,e,r,!0,n)},Qt.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=o.seenUids,u=this.boxCells[i];if(null!==u)for(var c=this.bboxes,f=0,h=u;f<h.length;f+=1){var p=h[f];if(!l.box[p]){l.box[p]=!0;var d=4*p;if(t<=c[d+2]&&e<=c[d+3]&&r>=c[d+0]&&n>=c[d+1]&&(!s||s(this.boxKeys[p]))){if(o.hitTest)return a.push(!0),!0;a.push({key:this.boxKeys[p],x1:c[d],y1:c[d+1],x2:c[d+2],y2:c[d+3]})}}}var v=this.circleCells[i];if(null!==v)for(var g=this.circles,y=0,m=v;y<m.length;y+=1){var x=m[y];if(!l.circle[x]){l.circle[x]=!0;var b=3*x;if(this._circleAndRectCollide(g[b],g[b+1],g[b+2],t,e,r,n)&&(!s||s(this.circleKeys[x]))){if(o.hitTest)return a.push(!0),!0;var _=g[b],w=g[b+1],T=g[b+2];a.push({key:this.circleKeys[x],x1:_-T,y1:w-T,x2:_+T,y2:w+T})}}}},Qt.prototype._queryCellCircle=function(t,e,r,n,i,a,o,s){var l=o.circle,u=o.seenUids,c=this.boxCells[i];if(null!==c)for(var f=this.bboxes,h=0,p=c;h<p.length;h+=1){var d=p[h];if(!u.box[d]){u.box[d]=!0;var v=4*d;if(this._circleAndRectCollide(l.x,l.y,l.radius,f[v+0],f[v+1],f[v+2],f[v+3])&&(!s||s(this.boxKeys[d])))return a.push(!0),!0}}var g=this.circleCells[i];if(null!==g)for(var y=this.circles,m=0,x=g;m<x.length;m+=1){var b=x[m];if(!u.circle[b]){u.circle[b]=!0;var _=3*b;if(this._circlesCollide(y[_],y[_+1],y[_+2],l.x,l.y,l.radius)&&(!s||s(this.circleKeys[b])))return a.push(!0),!0}}},Qt.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToXCellCoord(t),u=this._convertToYCellCoord(e),c=this._convertToXCellCoord(r),f=this._convertToYCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.xCellCount*p+h;if(i.call(this,t,e,r,n,d,a,o,s))return}},Qt.prototype._convertToXCellCoord=function(t){return Math.max(0,Math.min(this.xCellCount-1,Math.floor(t*this.xScale)))},Qt.prototype._convertToYCellCoord=function(t){return Math.max(0,Math.min(this.yCellCount-1,Math.floor(t*this.yScale)))},Qt.prototype._circlesCollide=function(t,e,r,n,i,a){var o=n-t,s=i-e,l=r+a;return l*l>o*o+s*s},Qt.prototype._circleAndRectCollide=function(t,e,r,n,i,a,o){var s=(a-n)/2,l=Math.abs(t-(n+s));if(l>s+r)return!1;var u=(o-i)/2,c=Math.abs(e-(i+u));if(c>u+r)return!1;if(l<=s||c<=u)return!0;var f=l-s,h=c-u;return f*f+h*h<=r*r};var fe=new Float32Array([-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0,-1/0,-1/0,0]);function he(t,e){for(var r=0;r<t;r++){var n=e.length;e.resize(n+4),e.float32.set(fe,3*n)}}function pe(t,e,r){var n=e[0],i=e[1];return t[0]=r[0]*n+r[4]*i+r[12],t[1]=r[1]*n+r[5]*i+r[13],t[3]=r[3]*n+r[7]*i+r[15],t}var de=100,ve=function(t,e,r){void 0===e&&(e=new Qt(t.width+200,t.height+200,25)),void 0===r&&(r=new Qt(t.width+200,t.height+200,25)),this.transform=t,this.grid=e,this.ignoredGrid=r,this.pitchfactor=Math.cos(t._pitch)*t.cameraToCenterDistance,this.screenRightBoundary=t.width+de,this.screenBottomBoundary=t.height+de,this.gridRightBoundary=t.width+200,this.gridBottomBoundary=t.height+200};function ge(e,r,n){return r*(t.EXTENT/(e.tileSize*Math.pow(2,n-e.tileID.overscaledZ)))}ve.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,u=t.x2*o+a.point.x,c=t.y2*o+a.point.y;return!this.isInsideGrid(s,l,u,c)||!e&&this.grid.hitTest(s,l,u,c,i)?{box:[],offscreen:!1}:{box:[s,l,u,c],offscreen:this.isOffscreen(s,l,u,c)}},ve.prototype.placeCollisionCircles=function(e,r,n,i,a,o,s,l,u,c,f,h,p){var d=[],v=new t.Point(r.anchorX,r.anchorY),g=re(v,o),y=ne(this.transform.cameraToCenterDistance,g.signedDistanceFromCamera),m=(c?a/y:a*y)/t.ONE_EM,x=re(v,s).point,b=oe(m,i,r.lineOffsetX*m,r.lineOffsetY*m,!1,x,v,r,n,s,{}),_=!1,w=!1,T=!0;if(b){for(var k=.5*h*y+p,A=new t.Point(-100,-100),M=new t.Point(this.screenRightBoundary,this.screenBottomBoundary),S=new $t,E=b.first,L=b.last,C=[],P=E.path.length-1;P>=1;P--)C.push(E.path[P]);for(var O=1;O<L.path.length;O++)C.push(L.path[O]);var I=2.5*k;if(l){var z=C.map((function(t){return re(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;V=S.length<=.5*k?1:Math.ceil(S.paddedLength/I)+1;for(var q=0;q<V;q++){var H=q/Math.max(V-1,1),G=S.lerp(H),W=G.x+de,Y=G.y+de;d.push(W,Y,k,0);var X=W-k,Z=Y-k,K=W+k,J=Y+k;if(T=T&&this.isOffscreen(X,Z,K,J),w=w||this.isInsideGrid(X,Z,K,J),!e&&this.grid.hitTestCircle(W,Y,k,f)&&(_=!0,!u))return{circles:[],offscreen:!1,collisionDetected:_}}}}return{circles:!u&&_||!w?[]:d,offscreen:T,collisionDetected:_}},ve.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 u=l[s],c=new t.Point(u.x+de,u.y+de);n=Math.min(n,c.x),i=Math.min(i,c.y),a=Math.max(a,c.x),o=Math.max(o,c.y),r.push(c)}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 v=d[p],g=v.key;if(void 0===f[g.bucketInstanceId]&&(f[g.bucketInstanceId]={}),!f[g.bucketInstanceId][g.featureIndex]){var y=[new t.Point(v.x1,v.y1),new t.Point(v.x2,v.y1),new t.Point(v.x2,v.y2),new t.Point(v.x1,v.y2)];t.polygonIntersectsPolygon(r,y)&&(f[g.bucketInstanceId][g.featureIndex]=!0,void 0===h[g.bucketInstanceId]&&(h[g.bucketInstanceId]=[]),h[g.bucketInstanceId].push(g.featureIndex))}}return h},ve.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])},ve.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])},ve.prototype.projectAndGetPerspectiveRatio=function(e,r,n){var i=[r,n,0,1];return pe(i,i,e),{point:new t.Point((i[0]/i[3]+1)/2*this.transform.width+de,(-i[1]/i[3]+1)/2*this.transform.height+de),perspectiveRatio:.5+this.transform.cameraToCenterDistance/i[3]*.5}},ve.prototype.isOffscreen=function(t,e,r,n){return r<de||t>=this.screenRightBoundary||n<de||e>this.screenBottomBoundary},ve.prototype.isInsideGrid=function(t,e,r,n){return r>=0&&t<this.gridRightBoundary&&n>=0&&e<this.gridBottomBoundary},ve.prototype.getViewportMatrix=function(){var e=t.identity([]);return t.translate(e,e,[-100,-100,0]),e};var ye=function(t,e,r,n){this.opacity=t?Math.max(0,Math.min(1,t.opacity+(t.placed?e:-e))):n&&r?1:0,this.placed=r};ye.prototype.isHidden=function(){return 0===this.opacity&&!this.placed};var me=function(t,e,r,n,i){this.text=new ye(t?t.text:null,e,r,i),this.icon=new ye(t?t.icon:null,e,n,i)};me.prototype.isHidden=function(){return this.text.isHidden()&&this.icon.isHidden()};var xe=function(t,e,r){this.text=t,this.icon=e,this.skipFade=r},be=function(){this.invProjMatrix=t.create(),this.viewportMatrix=t.create(),this.circles=[]},_e=function(t,e,r,n,i){this.bucketInstanceId=t,this.featureIndex=e,this.sourceLayerIndex=r,this.bucketIndex=n,this.tileID=i},we=function(t){this.crossSourceCollisions=t,this.maxGroupID=0,this.collisionGroups={}};function Te(e,r,n,i,a){var o=t.getAnchorAlignment(e),s=-(o.horizontalAlign-.5)*r,l=-(o.verticalAlign-.5)*n,u=t.evaluateVariableOffset(e,i);return new t.Point(s+u[0]*a,l+u[1]*a)}function ke(e,r,n,i,a,o){var s=e.x1,l=e.x2,u=e.y1,c=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:u+p.y,x2:l+p.x,y2:c+p.y,anchorPointX:f,anchorPointY:h}}we.prototype.get=function(t){if(this.crossSourceCollisions)return{ID:0,predicate:null};if(!this.collisionGroups[t]){var e=++this.maxGroupID;this.collisionGroups[t]={ID:e,predicate:function(t){return t.collisionGroupID===e}}}return this.collisionGroups[t]};var Ae=function(t,e,r,n){this.transform=t.clone(),this.collisionIndex=new ve(this.transform),this.placements={},this.opacities={},this.variableOffsets={},this.stale=!1,this.commitTime=0,this.fadeDuration=e,this.retainedQueryData={},this.collisionGroups=new we(r),this.collisionCircleArrays={},this.prevPlacement=n,n&&(n.prevPlacement=void 0),this.placedOrientations={}};function Me(t,e,r,n,i){t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0),t.emplaceBack(e?1:0,r?1:0,n||0,i||0)}Ae.prototype.getBucketParts=function(e,r,n,i){var a=n.getBucket(r),o=n.latestFeatureIndex;if(a&&o&&r.id===a.layerIds[0]){var s=n.collisionBoxArray,l=a.layers[0].layout,u=Math.pow(2,this.transform.zoom-n.tileID.overscaledZ),c=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=ge(n,1,this.transform.zoom),v=te(f,h,p,this.transform,d),g=null;if(h){var y=ee(f,h,p,this.transform,d);g=t.multiply([],this.transform.labelPlaneMatrix,y)}this.retainedQueryData[a.bucketInstanceId]=new _e(a.bucketInstanceId,o,a.sourceLayerIndex,a.index,n.tileID);var m={bucket:a,layout:l,posMatrix:f,textLabelPlaneMatrix:v,labelToScreenMatrix:g,scale:u,textPixelRatio:c,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:m})}else e.push({symbolInstanceStart:0,symbolInstanceEnd:a.symbolInstances.length,parameters:m})}},Ae.prototype.attemptAnchorPlacement=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d){var v,g=[f.textOffset0,f.textOffset1],y=Te(t,r,n,g,i),m=this.collisionIndex.placeCollisionBox(ke(e,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate);if(!d||0!==this.collisionIndex.placeCollisionBox(ke(d,y.x,y.y,a,o,this.transform.angle),c,s,l,u.predicate).box.length)return m.box.length>0?(this.prevPlacement&&this.prevPlacement.variableOffsets[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID]&&this.prevPlacement.placements[f.crossTileID].text&&(v=this.prevPlacement.variableOffsets[f.crossTileID].anchor),this.variableOffsets[f.crossTileID]={textOffset:g,width:r,height:n,anchor:t,textBoxScale:i,prevAnchor:v},this.markUsedJustification(h,t,f,p),h.allowVerticalPlacement&&(this.markUsedOrientation(h,p,f),this.placedOrientations[f.crossTileID]=p),{shift:y,placedGlyphBoxes:m}):void 0},Ae.prototype.placeLayerBucketPart=function(e,r,n){var i=this,a=e.parameters,o=a.bucket,s=a.layout,l=a.posMatrix,u=a.textLabelPlaneMatrix,c=a.labelToScreenMatrix,f=a.textPixelRatio,h=a.holdingForFade,p=a.collisionBoxArray,d=a.partiallyEvaluatedTextSize,v=a.collisionGroup,g=s.get(\"text-optional\"),y=s.get(\"icon-optional\"),m=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=m&&(x||!o.hasIconData()||y),A=x&&(m||!o.hasTextData()||g);!o.collisionArrays&&p&&o.deserializeCollisionBoxes(p);var M=function(e,a){if(!r[e.crossTileID])if(h)i.placements[e.crossTileID]=new xe(!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,O=null,I=0,z=0,D=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=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&&(s[i]===t.WritingMode.vertical?(L=n(),C=L):L=r(),!(L&&L.box&&L.box.length));i+=1);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,u=e.textBoxScale,c=w&&!x?r:null,h={box:[],offscreen:!1},p=m?2*N.length:N.length,d=0;d<p;++d){var g=N[d%N.length],y=d>=N.length,k=i.attemptAnchorPlacement(g,t,a,s,u,b,_,f,l,v,y,e,o,n,c);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 q=i.prevPlacement.variableOffsets[e.crossTileID];q&&(i.variableOffsets[e.crossTileID]=q,i.markUsedJustification(o,q.anchor,e,V))}}else{var H=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,m,f,l,v.predicate);return n&&n.box&&n.box.length&&(i.markUsedOrientation(o,r,e),i.placedOrientations[e.crossTileID]=r),n};B((function(){return H(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?H(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(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),W=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get(\"text-padding\"),X=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,W,l,u,c,n,_,v.predicate,X,Y),T=m||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?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=Z(a.verticalIconBox)).box.length>0:(O=Z(a.iconBox)).box.length>0,S=S&&O.offscreen}var K=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,J=y||0===e.numIconVertices;if(K||J?J?K||(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,v.ID):i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID)),M&&O&&i.collisionIndex.insertCollisionBox(O.box,s.get(\"icon-ignore-placement\"),o.bucketInstanceId,D,v.ID),P&&(T&&i.collisionIndex.insertCollisionCircles(P.circles,s.get(\"text-ignore-placement\"),o.bucketInstanceId,I,v.ID),n)){var $=o.bucketInstanceId,Q=i.collisionCircleArrays[$];void 0===Q&&(Q=i.collisionCircleArrays[$]=new be);for(var tt=0;tt<P.circles.length;tt+=4)Q.circles.push(P.circles[tt+0]),Q.circles.push(P.circles[tt+1]),Q.circles.push(P.circles[tt+2]),Q.circles.push(P.collisionDetected?1:0)}i.placements[e.crossTileID]=new xe(T||k,M||A,S||o.justReloaded),r[e.crossTileID]=!0}};if(T)for(var S=o.getSortedSymbolIndexes(this.transform.angle),E=S.length-1;E>=0;--E){var 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},Ae.prototype.markUsedJustification=function(e,r,n,i){var a,o={left:n.leftJustifiedTextSymbolIndex,center:n.centerJustifiedTextSymbolIndex,right:n.rightJustifiedTextSymbolIndex};a=i===t.WritingMode.vertical?n.verticalPlacedTextSymbolIndex:o[t.getAnchorJustification(r)];for(var s=0,l=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex,n.verticalPlacedTextSymbolIndex];s<l.length;s+=1){var u=l[s];u>=0&&(e.text.placedSymbolArray.get(u).crossTileID=a>=0&&u!==a?0:n.crossTileID)}},Ae.prototype.markUsedOrientation=function(e,r,n){for(var i=r===t.WritingMode.horizontal||r===t.WritingMode.horizontalOnly?r:0,a=r===t.WritingMode.vertical?r:0,o=0,s=[n.leftJustifiedTextSymbolIndex,n.centerJustifiedTextSymbolIndex,n.rightJustifiedTextSymbolIndex];o<s.length;o+=1){var l=s[o];e.text.placedSymbolArray.get(l).placedOrientation=i}n.verticalPlacedTextSymbolIndex&&(e.text.placedSymbolArray.get(n.verticalPlacedTextSymbolIndex).placedOrientation=a)},Ae.prototype.commit=function(t){this.commitTime=t,this.zoomAtLastRecencyCheck=this.transform.zoom;var e=this.prevPlacement,r=!1;this.prevZoomAdjustment=e?e.zoomAdjustment(this.transform.zoom):0;var n=e?e.symbolFadeChange(t):1,i=e?e.opacities:{},a=e?e.variableOffsets:{},o=e?e.placedOrientations:{};for(var s in this.placements){var l=this.placements[s],u=i[s];u?(this.opacities[s]=new me(u,n,l.text,l.icon),r=r||l.text!==u.text.placed||l.icon!==u.icon.placed):(this.opacities[s]=new me(null,n,l.text,l.icon,l.skipFade),r=r||l.text||l.icon)}for(var c in i){var f=i[c];if(!this.opacities[c]){var h=new me(f,n,!1,!1);h.isHidden()||(this.opacities[c]=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)},Ae.prototype.updateLayerOpacities=function(t,e){for(var r={},n=0,i=e;n<i.length;n+=1){var a=i[n],o=a.getBucket(t);o&&a.latestFeatureIndex&&t.id===o.layerIds[0]&&this.updateBucketOpacities(o,r,a.collisionBoxArray)}},Ae.prototype.updateBucketOpacities=function(e,r,n){var i=this;e.hasTextData()&&e.text.opacityVertexArray.clear(),e.hasIconData()&&e.icon.opacityVertexArray.clear(),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexArray.clear(),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexArray.clear();var a=e.layers[0].layout,o=new me(null,0,!1,!1,!0),s=a.get(\"text-allow-overlap\"),l=a.get(\"icon-allow-overlap\"),u=a.get(\"text-variable-anchor\"),c=\"map\"===a.get(\"text-rotation-alignment\"),f=\"map\"===a.get(\"text-pitch-alignment\"),h=\"none\"!==a.get(\"icon-text-fit\"),p=new me(null,0,s&&(l||!e.hasIconData()||a.get(\"icon-optional\")),l&&(s||!e.hasTextData()||a.get(\"text-optional\")),!0);!e.collisionArrays&&n&&(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData())&&e.deserializeCollisionBoxes(n);for(var d=function(t,e,r){for(var n=0;n<e/4;n++)t.opacityVertexArray.emplaceBack(r)},v=function(n){var a=e.symbolInstances.get(n),s=a.numHorizontalGlyphVertices,l=a.numVerticalGlyphVertices,v=a.crossTileID,g=r[v],y=i.opacities[v];g?y=o:y||(y=p,i.opacities[v]=y),r[v]=!0;var m=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(m){var T=ze(y.text),k=_?De:T;d(e.text,s,k);var A=w?De:T;d(e.text,l,A);var M=y.text.isHidden();[a.rightJustifiedTextSymbolIndex,a.centerJustifiedTextSymbolIndex,a.leftJustifiedTextSymbolIndex].forEach((function(t){t>=0&&(e.text.placedSymbolArray.get(t).hidden=M||_?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=ze(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:De;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?De:L;d(e.icon,a.numVerticalIconVertices,O),e.icon.placedSymbolArray.get(a.verticalPlacedIconSymbolIndex).hidden=y.icon.isHidden()}}if(e.hasIconCollisionBoxData()||e.hasTextCollisionBoxData()){var I=e.collisionArrays[n];if(I){var z=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var D=!0;if(u){var R=i.variableOffsets[v];R?(z=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&z._rotate(f?i.transform.angle:-i.transform.angle)):D=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||_,z.x,z.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!D||w,z.x,z.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?z.x:0,h?z.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?z.x:0,h?z.y:0)}}},g=0;g<e.symbolInstances.length;g++)v(g);if(e.sortFeatures(this.transform.angle),this.retainedQueryData[e.bucketInstanceId]&&(this.retainedQueryData[e.bucketInstanceId].featureSortOrder=e.featureSortOrder),e.hasTextData()&&e.text.opacityVertexBuffer&&e.text.opacityVertexBuffer.updateData(e.text.opacityVertexArray),e.hasIconData()&&e.icon.opacityVertexBuffer&&e.icon.opacityVertexBuffer.updateData(e.icon.opacityVertexArray),e.hasIconCollisionBoxData()&&e.iconCollisionBox.collisionVertexBuffer&&e.iconCollisionBox.collisionVertexBuffer.updateData(e.iconCollisionBox.collisionVertexArray),e.hasTextCollisionBoxData()&&e.textCollisionBox.collisionVertexBuffer&&e.textCollisionBox.collisionVertexBuffer.updateData(e.textCollisionBox.collisionVertexArray),e.bucketInstanceId in this.collisionCircleArrays){var y=this.collisionCircleArrays[e.bucketInstanceId];e.placementInvProjMatrix=y.invProjMatrix,e.placementViewportMatrix=y.viewportMatrix,e.collisionCircleArray=y.circles,delete this.collisionCircleArrays[e.bucketInstanceId]}},Ae.prototype.symbolFadeChange=function(t){return 0===this.fadeDuration?1:(t-this.commitTime)/this.fadeDuration+this.prevZoomAdjustment},Ae.prototype.zoomAdjustment=function(t){return Math.max(0,(this.transform.zoom-t)/1.5)},Ae.prototype.hasTransitions=function(t){return this.stale||t-this.lastPlacementChangeTime<this.fadeDuration},Ae.prototype.stillRecent=function(t,e){var r=this.zoomAtLastRecencyCheck===e?1-this.zoomAdjustment(e):1;return this.zoomAtLastRecencyCheck=e,this.commitTime+this.fadeDuration*r>t},Ae.prototype.setStale=function(){this.stale=!0};var Se=Math.pow(2,25),Ee=Math.pow(2,24),Le=Math.pow(2,17),Ce=Math.pow(2,16),Pe=Math.pow(2,9),Oe=Math.pow(2,8),Ie=Math.pow(2,1);function ze(t){if(0===t.opacity&&!t.placed)return 0;if(1===t.opacity&&t.placed)return 4294967295;var e=t.placed?1:0,r=Math.floor(127*t.opacity);return r*Se+e*Ee+r*Le+e*Ce+r*Pe+e*Oe+r*Ie+e}var De=0,Re=function(t){this._sortAcrossTiles=\"viewport-y\"!==t.layout.get(\"symbol-z-order\")&&void 0!==t.layout.get(\"symbol-sort-key\").constantOr(1),this._currentTileIndex=0,this._currentPartIndex=0,this._seenCrossTileIDs={},this._bucketParts=[]};Re.prototype.continuePlacement=function(t,e,r,n,i){for(var a=this._bucketParts;this._currentTileIndex<t.length;){var o=t[this._currentTileIndex];if(e.getBucketParts(a,n,o,this._sortAcrossTiles),this._currentTileIndex++,i())return!0}for(this._sortAcrossTiles&&(this._sortAcrossTiles=!1,a.sort((function(t,e){return t.sortKey-e.sortKey})));this._currentPartIndex<a.length;){var s=a[this._currentPartIndex];if(e.placeLayerBucketPart(s,this._seenCrossTileIDs,r),this._currentPartIndex++,i())return!0}return!1};var Fe=function(t,e,r,n,i,a,o){this.placement=new Ae(t,i,a,o),this._currentPlacementIndex=e.length-1,this._forceFullPlacement=r,this._showCollisionBoxes=n,this._done=!1};Fe.prototype.isDone=function(){return this._done},Fe.prototype.continuePlacement=function(e,r,n){for(var i=this,a=t.browser.now(),o=function(){var e=t.browser.now()-a;return!i._forceFullPlacement&&e>2};this._currentPlacementIndex>=0;){var s=r[e[this._currentPlacementIndex]],l=this.placement.collisionIndex.transform.zoom;if(\"symbol\"===s.type&&(!s.minzoom||s.minzoom<=l)&&(!s.maxzoom||s.maxzoom>l)){if(this._inProgressLayer||(this._inProgressLayer=new Re(s)),this._inProgressLayer.continuePlacement(n[s.source],this.placement,this._showCollisionBoxes,s,o))return;delete this._inProgressLayer}this._currentPlacementIndex--}this._done=!0},Fe.prototype.commit=function(t){return this.placement.commit(t),this.placement};var Be=512/t.EXTENT/2,Ne=function(t,e,r){this.tileID=t,this.indexedSymbolInstances={},this.bucketInstanceId=r;for(var n=0;n<e.length;n++){var i=e.get(n),a=i.key;this.indexedSymbolInstances[a]||(this.indexedSymbolInstances[a]=[]),this.indexedSymbolInstances[a].push({crossTileID:i.crossTileID,coord:this.getScaledCoordinates(i,t)})}};Ne.prototype.getScaledCoordinates=function(e,r){var n=r.canonical.z-this.tileID.canonical.z,i=Be/Math.pow(2,n);return{x:Math.floor((r.canonical.x*t.EXTENT+e.anchorX)*i),y:Math.floor((r.canonical.y*t.EXTENT+e.anchorY)*i)}},Ne.prototype.findMatches=function(t,e,r){for(var n=this.tileID.canonical.z<e.canonical.z?1:Math.pow(2,this.tileID.canonical.z-e.canonical.z),i=0;i<t.length;i++){var a=t.get(i);if(!a.crossTileID){var o=this.indexedSymbolInstances[a.key];if(o)for(var s=this.getScaledCoordinates(a,e),l=0,u=o;l<u.length;l+=1){var c=u[l];if(Math.abs(c.coord.x-s.x)<=n&&Math.abs(c.coord.y-s.y)<=n&&!r[c.crossTileID]){r[c.crossTileID]=!0,a.crossTileID=c.crossTileID;break}}}}};var je=function(){this.maxCrossTileID=0};je.prototype.generate=function(){return++this.maxCrossTileID};var Ue=function(){this.indexes={},this.usedCrossTileIDs={},this.lng=0};Ue.prototype.handleWrapJump=function(t){var e=Math.round((t-this.lng)/360);if(0!==e)for(var r in this.indexes){var n=this.indexes[r],i={};for(var a in n){var o=n[a];o.tileID=o.tileID.unwrapTo(o.tileID.wrap+e),i[o.tileID.key]=o}this.indexes[r]=i}this.lng=t},Ue.prototype.addBucket=function(t,e,r){if(this.indexes[t.overscaledZ]&&this.indexes[t.overscaledZ][t.key]){if(this.indexes[t.overscaledZ][t.key].bucketInstanceId===e.bucketInstanceId)return!1;this.removeBucketCrossTileIDs(t.overscaledZ,this.indexes[t.overscaledZ][t.key])}for(var n=0;n<e.symbolInstances.length;n++)e.symbolInstances.get(n).crossTileID=0;this.usedCrossTileIDs[t.overscaledZ]||(this.usedCrossTileIDs[t.overscaledZ]={});var i=this.usedCrossTileIDs[t.overscaledZ];for(var a in this.indexes){var o=this.indexes[a];if(Number(a)>t.overscaledZ)for(var s in o){var l=o[s];l.tileID.isChildOf(t)&&l.findMatches(e.symbolInstances,t,i)}else{var u=o[t.scaledTo(Number(a)).key];u&&u.findMatches(e.symbolInstances,t,i)}}for(var c=0;c<e.symbolInstances.length;c++){var f=e.symbolInstances.get(c);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 Ne(t,e.symbolInstances,e.bucketInstanceId),!0},Ue.prototype.removeBucketCrossTileIDs=function(t,e){for(var r in e.indexedSymbolInstances)for(var n=0,i=e.indexedSymbolInstances[r];n<i.length;n+=1){var a=i[n];delete this.usedCrossTileIDs[t][a.crossTileID]}},Ue.prototype.removeStaleBuckets=function(t){var e=!1;for(var r in this.indexes){var n=this.indexes[r];for(var i in n)t[n[i].bucketInstanceId]||(this.removeBucketCrossTileIDs(r,n[i]),delete n[i],e=!0)}return e};var Ve=function(){this.layerIndexes={},this.crossTileIDs=new je,this.maxBucketInstanceId=0,this.bucketsInCurrentPlacement={}};Ve.prototype.addLayer=function(t,e,r){var n=this.layerIndexes[t.id];void 0===n&&(n=this.layerIndexes[t.id]=new Ue);var i=!1,a={};n.handleWrapJump(r);for(var o=0,s=e;o<s.length;o+=1){var l=s[o],u=l.getBucket(t);u&&t.id===u.layerIds[0]&&(u.bucketInstanceId||(u.bucketInstanceId=++this.maxBucketInstanceId),n.addBucket(l.tileID,u,this.crossTileIDs)&&(i=!0),a[u.bucketInstanceId]=!0)}return n.removeStaleBuckets(a)&&(i=!0),i},Ve.prototype.pruneUnusedLayers=function(t){var e={};for(var r in t.forEach((function(t){e[t]=!0})),this.layerIndexes)e[r]||delete this.layerIndexes[r]};var qe=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},He=t.pick(qt,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(qt,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),We=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),Ye=function(e){function r(n,i){var a=this;void 0===i&&(i={}),e.call(this),this.map=n,this.dispatcher=new A(jt(),this),this.imageManager=new h,this.imageManager.setEventedParent(this),this.glyphManager=new x(n._requestManager,i.localIdeographFontFamily),this.lineAtlas=new k(256,512),this.crossTileSymbolIndex=new Ve,this._layers={},this._serializedLayers={},this._order=[],this.sourceCaches={},this.zoomHistory=new t.ZoomHistory,this._loaded=!1,this._availableImages=[],this._resetUpdates(),this.dispatcher.broadcast(\"setReferrer\",t.getReferrer());var o=this;this._rtlTextPluginCallback=r.registerForPluginStateChange((function(e){var r={pluginStatus:e.pluginStatus,pluginURL:e.pluginURL};o.dispatcher.broadcast(\"syncRTLPluginState\",r,(function(e,r){if(t.triggerPluginCompletionEvent(e),r&&r.every((function(t){return t})))for(var n in o.sourceCaches)o.sourceCaches[n].reload()}))})),this.on(\"data\",(function(t){if(\"source\"===t.dataType&&\"metadata\"===t.sourceDataType){var e=a.sourceCaches[t.sourceId];if(e){var r=e.getSource();if(r&&r.vectorLayerIds)for(var n in a._layers){var i=a._layers[n];i.source===r.id&&a._validateLayer(i)}}}}))}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadURL=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"}));var i=\"boolean\"==typeof r.validate?r.validate:!t.isMapboxURL(e);e=this.map._requestManager.normalizeStyleURL(e,r.accessToken);var a=this.map._requestManager.transformRequest(e,t.ResourceType.Style);this._request=t.getJSON(a,(function(e,r){n._request=null,e?n.fire(new t.ErrorEvent(e)):r&&n._load(r,i)}))},r.prototype.loadJSON=function(e,r){var n=this;void 0===r&&(r={}),this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._request=t.browser.frame((function(){n._request=null,n._load(e,!1!==r.validate)}))},r.prototype.loadEmpty=function(){this.fire(new t.Event(\"dataloading\",{dataType:\"style\"})),this._load(We,!1)},r.prototype._load=function(e,r){if(!r||!qe(this,t.validateStyle(e))){for(var n in this._loaded=!0,this.stylesheet=e,e.sources)this.addSource(n,e.sources[n],{validate:!1});e.sprite?this._loadSprite(e.sprite):this.imageManager.setLoaded(!0),this.glyphManager.setURL(e.glyphs);var i=Vt(this.stylesheet.layers);this._order=i.map((function(t){return t.id})),this._layers={},this._serializedLayers={};for(var a=0,o=i;a<o.length;a+=1){var s=o[a];(s=t.createStyleLayer(s)).setEventedParent(this,{layer:{id:s.id}}),this._layers[s.id]=s,this._serializedLayers[s.id]=s.serialize()}this.dispatcher.broadcast(\"setLayers\",this._serializeLayers(this._order)),this.light=new T(this.stylesheet.light),this.fire(new t.Event(\"data\",{dataType:\"style\"})),this.fire(new t.Event(\"style.load\"))}},r.prototype._loadSprite=function(e){var r=this;this._spriteRequest=function(e,r,n){var i,a,o,s=t.browser.devicePixelRatio>1?\"@2x\":\"\",l=t.getJSON(r.transformRequest(r.normalizeSpriteURL(e,s,\".json\"),t.ResourceType.SpriteJSON),(function(t,e){l=null,o||(o=t,i=e,c())})),u=t.getImage(r.transformRequest(r.normalizeSpriteURL(e,s,\".png\"),t.ResourceType.SpriteImage),(function(t,e){u=null,o||(o=t,a=e,c())}));function c(){if(o)n(o);else if(i&&a){var e=t.browser.getImageData(a),r={};for(var s in i){var l=i[s],u=l.width,c=l.height,f=l.x,h=l.y,p=l.sdf,d=l.pixelRatio,v=l.stretchX,g=l.stretchY,y=l.content,m=new t.RGBAImage({width:u,height:c});t.RGBAImage.copy(e,m,{x:f,y:h},{x:0,y:0},{width:u,height:c}),r[s]={data:m,pixelRatio:d,sdf:p,stretchX:v,stretchY:g,content:y}}n(null,r)}}return{cancel:function(){l&&(l.cancel(),l=null),u&&(u.cancel(),u=null)}}}(e,this.map._requestManager,(function(e,n){if(r._spriteRequest=null,e)r.fire(new t.ErrorEvent(e));else if(n)for(var i in n)r.imageManager.addImage(i,n[i]);r.imageManager.setLoaded(!0),r._availableImages=r.imageManager.listImages(),r.dispatcher.broadcast(\"setImages\",r._availableImages),r.fire(new t.Event(\"data\",{dataType:\"style\"}))}))},r.prototype._validateLayer=function(e){var r=this.sourceCaches[e.source];if(r){var n=e.sourceLayer;if(n){var i=r.getSource();(\"geojson\"===i.type||i.vectorLayerIds&&-1===i.vectorLayerIds.indexOf(n))&&this.fire(new t.ErrorEvent(new Error('Source layer \"'+n+'\" does not exist on source \"'+i.id+'\" as specified by style layer \"'+e.id+'\"')))}}},r.prototype.loaded=function(){if(!this._loaded)return!1;if(Object.keys(this._updatedSources).length)return!1;for(var t in this.sourceCaches)if(!this.sourceCaches[t].loaded())return!1;return!!this.imageManager.isLoaded()},r.prototype._serializeLayers=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=this._layers[i];\"custom\"!==a.type&&e.push(a.serialize())}return e},r.prototype.hasTransitions=function(){if(this.light&&this.light.hasTransition())return!0;for(var t in this.sourceCaches)if(this.sourceCaches[t].hasTransition())return!0;for(var e in this._layers)if(this._layers[e].hasTransition())return!0;return!1},r.prototype._checkLoaded=function(){if(!this._loaded)throw new Error(\"Style is not done loading\")},r.prototype.update=function(e){if(this._loaded){var r=this._changed;if(this._changed){var n=Object.keys(this._updatedLayers),i=Object.keys(this._removedLayers);for(var a in(n.length||i.length)&&this._updateWorkerLayers(n,i),this._updatedSources){var o=this._updatedSources[a];\"reload\"===o?this._reloadSource(a):\"clear\"===o&&this._clearSource(a)}for(var s in this._updateTilesForChangedImages(),this._updatedPaintProps)this._layers[s].updateTransitions(e);this.light.updateTransitions(e),this._resetUpdates()}var l={};for(var u in this.sourceCaches){var c=this.sourceCaches[u];l[u]=c.used,c.used=!1}for(var f=0,h=this._order;f<h.length;f+=1){var p=h[f],d=this._layers[p];d.recalculate(e,this._availableImages),!d.isHidden(e.zoom)&&d.source&&(this.sourceCaches[d.source].used=!0)}for(var v in l){var g=this.sourceCaches[v];l[v]!==g.used&&g.fire(new t.Event(\"data\",{sourceDataType:\"visibility\",dataType:\"source\",sourceId:v}))}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),qe(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Jt(this.serialize(),e).filter((function(t){return!(t.command in Ge)}));if(0===n.length)return!1;var i=n.filter((function(t){return!(t.command in He)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._afterImageUpdated(e)},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._afterImageUpdated(e)},r.prototype._afterImageUpdated=function(e){this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.dispatcher.broadcast(\"setImages\",this._availableImages),this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new Ot(e,r,this.dispatcher);a.style=this,a.setEventedParent(this,(function(){return{isSourceLoaded:i.loaded(),source:a.serialize(),sourceId:e}})),a.onAdd(this.map),this._changed=!0}},r.prototype.removeSource=function(e){if(this._checkLoaded(),void 0===this.sourceCaches[e])throw new Error(\"There is no source with this ID\");for(var r in this._layers)if(this._layers[r].source===e)return this.fire(new t.ErrorEvent(new Error('Source \"'+e+'\" cannot be removed while layer \"'+r+'\" is using it.')));var n=this.sourceCaches[e];delete this.sourceCaches[e],delete this._updatedSources[e],n.fire(new t.Event(\"data\",{sourceDataType:\"metadata\",dataType:\"source\",sourceId:e})),n.setEventedParent(null),n.clearTiles(),n.onRemove&&n.onRemove(this.map),this._changed=!0},r.prototype.setGeoJSONSourceData=function(t,e){this._checkLoaded(),this.sourceCaches[t].getSource().setData(e),this._changed=!0},r.prototype.getSource=function(t){return this.sourceCaches[t]&&this.sourceCaches[t].getSource()},r.prototype.addLayer=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=e.id;if(this.getLayer(i))this.fire(new t.ErrorEvent(new Error('Layer with id \"'+i+'\" already exists on this map')));else{var a;if(\"custom\"===e.type){if(qe(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is required to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var u=l[s][o];if(u)for(var c=0,f=u;c<f.length;c+=1){var h=f[c];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 v=this._order[d];if(r(v))for(var g=i.length-1;g>=0;g--){var y=i[g].feature;if(n[y.layer.id]<d)break;p.push(y),i.pop()}else for(var m=0,x=t;m<x.length;m+=1){var b=x[m][v];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 u=[];for(var c in r.availableImages=this._availableImages,this.sourceCaches)r.layers&&!i[c]||u.push(B(this.sourceCaches[c],this._layers,this._serializedLayers,e,r,n));return this.placement&&u.push(function(t,e,r,n,i,a,o){for(var s={},l=a.queryRenderedSymbols(n),u=[],c=0,f=Object.keys(l).map(Number);c<f.length;c+=1){var h=f[c];u.push(o[h])}u.sort(N);for(var p=function(){var r=v[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]||[],u=n[a];u.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 c=0,f=u;c<f.length;c+=1){var h=f[c];o.push(h)}}},d=0,v=u;d<v.length;d+=1)p();var g=function(e){s[e].forEach((function(n){var i=n.feature,a=t[e],o=r[a.source].getFeatureState(i.layer[\"source-layer\"],i.id);i.source=i.layer.source,i.layer[\"source-layer\"]&&(i.sourceLayer=i.layer[\"source-layer\"]),i.state=o}))};for(var y in s)g(y);return s}(this._layers,this._serializedLayers,this.sourceCaches,e,r,this.placement.collisionIndex,this.placement.retainedQueryData)),this._flattenAndSortRenderedFeatures(u)},r.prototype.querySourceFeatures=function(e,r){r&&r.filter&&this._validate(t.validateStyle.filter,\"querySourceFeatures.filter\",r.filter,null,r);var n=this.sourceCaches[e];return n?function(t,e){for(var r=t.getRenderableIds().map((function(e){return t.getTileByID(e)})),n=[],i={},a=0;a<r.length;a++){var o=r[a],s=o.tileID.canonical.key;i[s]||(i[s]=!0,o.querySourceFeatures(n,e))}return n}(n,r):[]},r.prototype.addSourceType=function(t,e,n){return r.getSourceType(t)?n(new Error('A source type called \"'+t+'\" already exists.')):(r.setSourceType(t,e),e.workerSourceURL?void this.dispatcher.broadcast(\"loadWorkerSource\",{name:t,url:e.workerSourceURL},n):n(null,null))},r.prototype.getLight=function(){return this.light.getLight()},r.prototype.setLight=function(e,r){void 0===r&&(r={}),this._checkLoaded();var n=this.light.getLight(),i=!1;for(var a in e)if(!t.deepEqual(e[a],n[a])){i=!0;break}if(i){var o={now:t.browser.now(),transition:t.extend({duration:300,delay:0},this.stylesheet.transition)};this.light.setLight(e,r),this.light.updateTransitions(o)}},r.prototype._validate=function(e,r,n,i,a){return void 0===a&&(a={}),(!a||!1!==a.validate)&&qe(this,e.call(t.validateStyle,t.extend({key:r,style:this.serialize(),value:n,styleSpec:t.styleSpec},i)))},r.prototype._remove=function(){for(var e in this._request&&(this._request.cancel(),this._request=null),this._spriteRequest&&(this._spriteRequest.cancel(),this._spriteRequest=null),t.evented.off(\"pluginStateChange\",this._rtlTextPluginCallback),this._layers)this._layers[e].setEventedParent(null);for(var r in this.sourceCaches)this.sourceCaches[r].clearTiles(),this.sourceCaches[r].setEventedParent(null);this.imageManager.setEventedParent(null),this.setEventedParent(null),this.dispatcher.remove()},r.prototype._clearSource=function(t){this.sourceCaches[t].clearTiles()},r.prototype._reloadSource=function(t){this.sourceCaches[t].resume(),this.sourceCaches[t].reload()},r.prototype._updateSources=function(t){for(var e in this.sourceCaches)this.sourceCaches[e].update(t)},r.prototype._generateCollisionBoxes=function(){for(var t in this.sourceCaches)this._reloadSource(t)},r.prototype._updatePlacement=function(e,r,n,i,a){void 0===a&&(a=!1);for(var o=!1,s=!1,l={},u=0,c=this._order;u<c.length;u+=1){var f=c[u],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 Fe(e,this._order,a,r,n,i,this.placement),this._layerOrderChanged=!1),this.pauseablePlacement.isDone()?this.placement.setStale():(this.pauseablePlacement.continuePlacement(this._order,this._layers,l),this.pauseablePlacement.isDone()&&(this.placement=this.pauseablePlacement.commit(t.browser.now()),s=!0),o&&this.pauseablePlacement.placement.setStale()),s||o)for(var v=0,g=this._order;v<g.length;v+=1){var y=g[v],m=this._layers[y];\"symbol\"===m.type&&this.placement.updateLayerOpacities(m,l[m.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);Ye.getSourceType=function(t){return R[t]},Ye.setSourceType=function(t,e){R[t]=e},Ye.registerForPluginStateChange=t.registerForPluginStateChange;var Xe=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Ze=_r(\"#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;}\"),Ke=_r(\"uniform vec4 u_color;uniform float u_opacity;void main() {gl_FragColor=u_color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),Je=_r(\"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);}\"),$e=_r(\"varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=v_data.xy;float extrude_length=length(extrude);lowp float antialiasblur=v_data.z;float antialiased_blur=-max(blur,antialiasblur);float opacity_t=smoothstep(0.0,antialiased_blur,extrude_length-1.0);float color_t=stroke_width < 0.01 ? 0.0 : smoothstep(antialiased_blur,0.0,extrude_length-radius/(radius+stroke_width));gl_FragColor=opacity_t*mix(color*opacity,stroke_color*stroke_opacity,color_t);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform bool u_scale_with_map;uniform bool u_pitch_with_map;uniform vec2 u_extrude_scale;uniform lowp float u_device_pixel_ratio;uniform highp float u_camera_to_center_distance;attribute vec2 a_pos;varying vec3 v_data;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define mediump float radius\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define highp vec4 stroke_color\\n#pragma mapbox: define mediump float stroke_width\\n#pragma mapbox: define lowp float stroke_opacity\\nvoid main(void) {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize mediump float radius\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize highp vec4 stroke_color\\n#pragma mapbox: initialize mediump float stroke_width\\n#pragma mapbox: initialize lowp float stroke_opacity\\nvec2 extrude=vec2(mod(a_pos,2.0)*2.0-1.0);vec2 circle_center=floor(a_pos*0.5);if (u_pitch_with_map) {vec2 corner_position=circle_center;if (u_scale_with_map) {corner_position+=extrude*(radius+stroke_width)*u_extrude_scale;} else {vec4 projected_center=u_matrix*vec4(circle_center,0,1);corner_position+=extrude*(radius+stroke_width)*u_extrude_scale*(projected_center.w/u_camera_to_center_distance);}gl_Position=u_matrix*vec4(corner_position,0,1);} else {gl_Position=u_matrix*vec4(circle_center,0,1);if (u_scale_with_map) {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*u_camera_to_center_distance;} else {gl_Position.xy+=extrude*(radius+stroke_width)*u_extrude_scale*gl_Position.w;}}lowp float antialiasblur=1.0/u_device_pixel_ratio/(radius+stroke_width);v_data=vec3(extrude.x,extrude.y,antialiasblur);}\"),Qe=_r(\"void main() {gl_FragColor=vec4(1.0);}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);}\"),tr=_r(\"uniform highp float u_intensity;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main() {\\n#pragma mapbox: initialize highp float weight\\nfloat d=-0.5*3.0*3.0*dot(v_extrude,v_extrude);float val=weight*u_intensity*GAUSS_COEF*exp(d);gl_FragColor=vec4(val,1.0,1.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform float u_extrude_scale;uniform float u_opacity;uniform float u_intensity;attribute vec2 a_pos;varying vec2 v_extrude;\\n#pragma mapbox: define highp float weight\\n#pragma mapbox: define mediump float radius\\nconst highp float ZERO=1.0/255.0/16.0;\\n#define GAUSS_COEF 0.3989422804014327\\nvoid main(void) {\\n#pragma mapbox: initialize highp float weight\\n#pragma mapbox: initialize mediump float radius\\nvec2 unscaled_extrude=vec2(mod(a_pos,2.0)*2.0-1.0);float S=sqrt(-2.0*log(ZERO/weight/u_intensity/GAUSS_COEF))/3.0;v_extrude=S*unscaled_extrude;vec2 extrude=v_extrude*radius*u_extrude_scale;vec4 pos=vec4(floor(a_pos*0.5)+extrude,0,1);gl_Position=u_matrix*pos;}\"),er=_r(\"uniform sampler2D u_image;uniform sampler2D u_color_ramp;uniform float u_opacity;varying vec2 v_pos;void main() {float t=texture2D(u_image,v_pos).r;vec4 color=texture2D(u_color_ramp,vec2(t,0.5));gl_FragColor=color*u_opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(0.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;attribute vec2 a_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos*u_world,0,1);v_pos.x=a_pos.x;v_pos.y=1.0-a_pos.y;}\"),rr=_r(\"varying float v_placed;varying float v_notUsed;void main() {float alpha=0.5;gl_FragColor=vec4(1.0,0.0,0.0,1.0)*alpha;if (v_placed > 0.5) {gl_FragColor=vec4(0.0,0.0,1.0,0.5)*alpha;}if (v_notUsed > 0.5) {gl_FragColor*=.1;}}\",\"attribute vec2 a_pos;attribute vec2 a_anchor_pos;attribute vec2 a_extrude;attribute vec2 a_placed;attribute vec2 a_shift;uniform mat4 u_matrix;uniform vec2 u_extrude_scale;uniform float u_camera_to_center_distance;varying float v_placed;varying float v_notUsed;void main() {vec4 projectedPoint=u_matrix*vec4(a_anchor_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);gl_Position=u_matrix*vec4(a_pos,0.0,1.0);gl_Position.xy+=(a_extrude+a_shift)*u_extrude_scale*gl_Position.w*collision_perspective_ratio;v_placed=a_placed.x;v_notUsed=a_placed.y;}\"),nr=_r(\"varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;void main() {float alpha=0.5*min(v_perspective_ratio,1.0);float stroke_radius=0.9*max(v_perspective_ratio,1.0);float distance_to_center=length(v_extrude);float distance_to_edge=abs(distance_to_center-v_radius);float opacity_t=smoothstep(-stroke_radius,0.0,-distance_to_edge);vec4 color=mix(vec4(0.0,0.0,1.0,0.5),vec4(1.0,0.0,0.0,1.0),v_collision);gl_FragColor=color*alpha*opacity_t;}\",\"attribute vec2 a_pos;attribute float a_radius;attribute vec2 a_flags;uniform mat4 u_matrix;uniform mat4 u_inv_matrix;uniform vec2 u_viewport_size;uniform float u_camera_to_center_distance;varying float v_radius;varying vec2 v_extrude;varying float v_perspective_ratio;varying float v_collision;vec3 toTilePosition(vec2 screenPos) {vec4 rayStart=u_inv_matrix*vec4(screenPos,-1.0,1.0);vec4 rayEnd  =u_inv_matrix*vec4(screenPos, 1.0,1.0);rayStart.xyz/=rayStart.w;rayEnd.xyz  /=rayEnd.w;highp float t=(0.0-rayStart.z)/(rayEnd.z-rayStart.z);return mix(rayStart.xyz,rayEnd.xyz,t);}void main() {vec2 quadCenterPos=a_pos;float radius=a_radius;float collision=a_flags.x;float vertexIdx=a_flags.y;vec2 quadVertexOffset=vec2(mix(-1.0,1.0,float(vertexIdx >=2.0)),mix(-1.0,1.0,float(vertexIdx >=1.0 && vertexIdx <=2.0)));vec2 quadVertexExtent=quadVertexOffset*radius;vec3 tilePos=toTilePosition(quadCenterPos);vec4 clipPos=u_matrix*vec4(tilePos,1.0);highp float camera_to_anchor_distance=clipPos.w;highp float collision_perspective_ratio=clamp(0.5+0.5*(u_camera_to_center_distance/camera_to_anchor_distance),0.0,4.0);float padding_factor=1.2;v_radius=radius;v_extrude=quadVertexExtent*padding_factor;v_perspective_ratio=collision_perspective_ratio;v_collision=collision;gl_Position=vec4(clipPos.xyz/clipPos.w,1.0)+vec4(quadVertexExtent*padding_factor/u_viewport_size*2.0,0.0,0.0);}\"),ir=_r(\"uniform highp vec4 u_color;uniform sampler2D u_overlay;varying vec2 v_uv;void main() {vec4 overlay_color=texture2D(u_overlay,v_uv);gl_FragColor=mix(u_color,overlay_color,overlay_color.a);}\",\"attribute vec2 a_pos;varying vec2 v_uv;uniform mat4 u_matrix;uniform float u_overlay_scale;void main() {v_uv=a_pos/8192.0;gl_Position=u_matrix*vec4(a_pos*u_overlay_scale,0,1);}\"),ar=_r(\"#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_FragColor=color*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);}\"),or=_r(\"varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=outline_color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"attribute vec2 a_pos;uniform mat4 u_matrix;uniform vec2 u_world;varying vec2 v_pos;\\n#pragma mapbox: define highp vec4 outline_color\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 outline_color\\n#pragma mapbox: initialize lowp float opacity\\ngl_Position=u_matrix*vec4(a_pos,0,1);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),sr=_r(\"uniform vec2 u_texsize;uniform sampler2D u_image;uniform float u_fade;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;vec2 imagecoord=mod(v_pos_a,1.0);vec2 pos=mix(pattern_tl_a/u_texsize,pattern_br_a/u_texsize,imagecoord);vec4 color1=texture2D(u_image,pos);vec2 imagecoord_b=mod(v_pos_b,1.0);vec2 pos2=mix(pattern_tl_b/u_texsize,pattern_br_b/u_texsize,imagecoord_b);vec4 color2=texture2D(u_image,pos2);float dist=length(v_pos-gl_FragCoord.xy);float alpha=1.0-smoothstep(0.0,1.0,dist);gl_FragColor=mix(color1,color2,u_fade)*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_world;uniform vec2 u_pixel_coord_upper;uniform vec2 u_pixel_coord_lower;uniform vec3 u_scale;attribute vec2 a_pos;varying vec2 v_pos_a;varying vec2 v_pos_b;varying vec2 v_pos;\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;gl_Position=u_matrix*vec4(a_pos,0,1);vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;v_pos_a=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,fromScale*display_size_a,tileRatio,a_pos);v_pos_b=get_pattern_pos(u_pixel_coord_upper,u_pixel_coord_lower,toScale*display_size_b,tileRatio,a_pos);v_pos=(gl_Position.xy/gl_Position.w+1.0)/2.0*u_world;}\"),lr=_r(\"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);}\"),ur=_r(\"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;}\"),cr=_r(\"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;}\"),fr=_r(\"#ifdef GL_ES\\nprecision highp float;\\n#endif\\nuniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_dimension;uniform float u_zoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggerationFactor=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;float exaggeration=u_zoom < 15.0 ? (u_zoom-15.0)*exaggerationFactor : 0.0;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/pow(2.0,exaggeration+(19.2562-u_zoom));gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),hr=_r(\"uniform sampler2D u_image;varying vec2 v_pos;uniform vec2 u_latrange;uniform vec2 u_light;uniform vec4 u_shadow;uniform vec4 u_highlight;uniform vec4 u_accent;\\n#define PI 3.141592653589793\\nvoid main() {vec4 pixel=texture2D(u_image,v_pos);vec2 deriv=((pixel.rg*2.0)-1.0);float scaleFactor=cos(radians((u_latrange[0]-u_latrange[1])*(1.0-v_pos.y)+u_latrange[1]));float slope=atan(1.25*length(deriv)/scaleFactor);float aspect=deriv.x !=0.0 ? atan(deriv.y,-deriv.x) : PI/2.0*(deriv.y > 0.0 ? 1.0 :-1.0);float intensity=u_light.x;float azimuth=u_light.y+PI;float base=1.875-intensity*1.75;float maxValue=0.5*PI;float scaledSlope=intensity !=0.5 ? ((pow(base,slope)-1.0)/(pow(base,maxValue)-1.0))*maxValue : slope;float accent=cos(scaledSlope);vec4 accent_color=(1.0-accent)*u_accent*clamp(intensity*2.0,0.0,1.0);float shade=abs(mod((aspect+azimuth)/PI+0.5,2.0)-1.0);vec4 shade_color=mix(u_shadow,u_highlight,shade)*sin(scaledSlope)*clamp(intensity*2.0,0.0,1.0);gl_FragColor=accent_color*(1.0-shade_color.a)+shade_color;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos=a_texture_pos/8192.0;}\"),pr=_r(\"uniform lowp float u_device_pixel_ratio;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform vec2 u_units_to_pixels;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_linesofar;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),dr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;varying vec2 v_width2;varying vec2 v_normal;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,v_uv);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;attribute float a_uv_x;attribute float a_split_index;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;uniform float u_image_height;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp vec2 v_uv;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;highp float texel_height=1.0/u_image_height;highp float half_texel_height=0.5*texel_height;v_uv=vec2(a_uv_x,a_split_index*texel_height-half_texel_height);vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),vr=_r(\"uniform lowp float u_device_pixel_ratio;uniform vec2 u_texsize;uniform float u_fade;uniform mediump vec3 u_scale;uniform sampler2D u_image;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nvec2 pattern_tl_a=pattern_from.xy;vec2 pattern_br_a=pattern_from.zw;vec2 pattern_tl_b=pattern_to.xy;vec2 pattern_br_b=pattern_to.zw;float tileZoomRatio=u_scale.x;float fromScale=u_scale.y;float toScale=u_scale.z;vec2 display_size_a=(pattern_br_a-pattern_tl_a)/pixel_ratio_from;vec2 display_size_b=(pattern_br_b-pattern_tl_b)/pixel_ratio_to;vec2 pattern_size_a=vec2(display_size_a.x*fromScale/tileZoomRatio,display_size_a.y);vec2 pattern_size_b=vec2(display_size_b.x*toScale/tileZoomRatio,display_size_b.y);float aspect_a=display_size_a.y/v_width;float aspect_b=display_size_b.y/v_width;float dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float x_a=mod(v_linesofar/pattern_size_a.x*aspect_a,1.0);float x_b=mod(v_linesofar/pattern_size_b.x*aspect_b,1.0);float y=0.5*v_normal.y+0.5;vec2 texel_size=1.0/u_texsize;vec2 pos_a=mix(pattern_tl_a*texel_size-texel_size,pattern_br_a*texel_size+texel_size,vec2(x_a,y));vec2 pos_b=mix(pattern_tl_b*texel_size-texel_size,pattern_br_b*texel_size+texel_size,vec2(x_b,y));vec4 color=mix(texture2D(u_image,pos_a),texture2D(u_image,pos_b),u_fade);gl_FragColor=color*alpha*opacity;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform vec2 u_units_to_pixels;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;varying vec2 v_normal;varying vec2 v_width2;varying float v_linesofar;varying float v_gamma_scale;varying float v_width;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\n#pragma mapbox: define lowp vec4 pattern_from\\n#pragma mapbox: define lowp vec4 pattern_to\\n#pragma mapbox: define lowp float pixel_ratio_from\\n#pragma mapbox: define lowp float pixel_ratio_to\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\n#pragma mapbox: initialize mediump vec4 pattern_from\\n#pragma mapbox: initialize mediump vec4 pattern_to\\n#pragma mapbox: initialize lowp float pixel_ratio_from\\n#pragma mapbox: initialize lowp float pixel_ratio_to\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_linesofar=a_linesofar;v_width2=vec2(outset,inset);v_width=floorwidth;}\"),gr=_r(\"uniform lowp float u_device_pixel_ratio;uniform sampler2D u_image;uniform float u_sdfgamma;uniform float u_mix;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);float sdfdist_a=texture2D(u_image,v_tex_a).a;float sdfdist_b=texture2D(u_image,v_tex_b).a;float sdfdist=mix(sdfdist_a,sdfdist_b,u_mix);alpha*=smoothstep(0.5-u_sdfgamma/floorwidth,0.5+u_sdfgamma/floorwidth,sdfdist);gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define scale 0.015873016\\n#define LINE_DISTANCE_SCALE 2.0\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_patternscale_a;uniform float u_tex_y_a;uniform vec2 u_patternscale_b;uniform float u_tex_y_b;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying vec2 v_tex_a;varying vec2 v_tex_b;varying float v_gamma_scale;\\n#pragma mapbox: define highp vec4 color\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\n#pragma mapbox: define lowp float floorwidth\\nvoid main() {\\n#pragma mapbox: initialize highp vec4 color\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\n#pragma mapbox: initialize lowp float floorwidth\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;float a_linesofar=(floor(a_data.z/4.0)+a_data.w*64.0)*LINE_DISTANCE_SCALE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_tex_a=vec2(a_linesofar*u_patternscale_a.x/floorwidth,normal.y*u_patternscale_a.y+u_tex_y_a);v_tex_b=vec2(a_linesofar*u_patternscale_b.x/floorwidth,normal.y*u_patternscale_b.y+u_tex_y_b);v_width2=vec2(outset,inset);}\"),yr=_r(\"uniform float u_fade_t;uniform float u_opacity;uniform sampler2D u_image0;uniform sampler2D u_image1;varying vec2 v_pos0;varying vec2 v_pos1;uniform float u_brightness_low;uniform float u_brightness_high;uniform float u_saturation_factor;uniform float u_contrast_factor;uniform vec3 u_spin_weights;void main() {vec4 color0=texture2D(u_image0,v_pos0);vec4 color1=texture2D(u_image1,v_pos1);if (color0.a > 0.0) {color0.rgb=color0.rgb/color0.a;}if (color1.a > 0.0) {color1.rgb=color1.rgb/color1.a;}vec4 color=mix(color0,color1,u_fade_t);color.a*=u_opacity;vec3 rgb=color.rgb;rgb=vec3(dot(rgb,u_spin_weights.xyz),dot(rgb,u_spin_weights.zxy),dot(rgb,u_spin_weights.yzx));float average=(color.r+color.g+color.b)/3.0;rgb+=(average-rgb)*u_saturation_factor;rgb=(rgb-0.5)*u_contrast_factor+0.5;vec3 u_high_vec=vec3(u_brightness_low,u_brightness_low,u_brightness_low);vec3 u_low_vec=vec3(u_brightness_high,u_brightness_high,u_brightness_high);gl_FragColor=vec4(mix(u_high_vec,u_low_vec,rgb)*color.a,color.a);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_tl_parent;uniform float u_scale_parent;uniform float u_buffer_scale;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos0;varying vec2 v_pos1;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);v_pos0=(((a_texture_pos/8192.0)-0.5)/u_buffer_scale )+0.5;v_pos1=(v_pos0*u_scale_parent)+u_tl_parent;}\"),mr=_r(\"uniform sampler2D u_texture;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nlowp float alpha=opacity*v_fade_opacity;gl_FragColor=texture2D(u_texture,v_tex)*alpha;\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"const float PI=3.141592653589793;attribute vec4 a_pos_offset;attribute vec4 a_data;attribute vec4 a_pixeloffset;attribute vec3 a_projected_pos;attribute float a_fade_opacity;uniform bool u_is_size_zoom_constant;uniform bool u_is_size_feature_constant;uniform highp float u_size_t;uniform highp float u_size;uniform highp float u_camera_to_center_distance;uniform highp float u_pitch;uniform bool u_rotate_symbol;uniform highp float u_aspect_ratio;uniform float u_fade_change;uniform mat4 u_matrix;uniform mat4 u_label_plane_matrix;uniform mat4 u_coord_matrix;uniform bool u_is_text;uniform bool u_pitch_with_map;uniform vec2 u_texsize;varying vec2 v_tex;varying float v_fade_opacity;\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float opacity\\nvec2 a_pos=a_pos_offset.xy;vec2 a_offset=a_pos_offset.zw;vec2 a_tex=a_data.xy;vec2 a_size=a_data.zw;float a_size_min=floor(a_size[0]*0.5);vec2 a_pxoffset=a_pixeloffset.xy;vec2 a_minFontScale=a_pixeloffset.zw/256.0;highp float segment_angle=-a_projected_pos[2];float size;if (!u_is_size_zoom_constant && !u_is_size_feature_constant) {size=mix(a_size_min,a_size[1],u_size_t)/128.0;} else if (u_is_size_zoom_constant && !u_is_size_feature_constant) {size=a_size_min/128.0;} else {size=u_size;}vec4 projectedPoint=u_matrix*vec4(a_pos,0,1);highp float camera_to_anchor_distance=projectedPoint.w;highp float distance_ratio=u_pitch_with_map ?\\ncamera_to_anchor_distance/u_camera_to_center_distance :\\nu_camera_to_center_distance/camera_to_anchor_distance;highp float perspective_ratio=clamp(0.5+0.5*distance_ratio,0.0,4.0);size*=perspective_ratio;float fontScale=u_is_text ? size/24.0 : size;highp float symbol_rotation=0.0;if (u_rotate_symbol) {vec4 offsetProjectedPoint=u_matrix*vec4(a_pos+vec2(1,0),0,1);vec2 a=projectedPoint.xy/projectedPoint.w;vec2 b=offsetProjectedPoint.xy/offsetProjectedPoint.w;symbol_rotation=atan((b.y-a.y)/u_aspect_ratio,b.x-a.x);}highp float angle_sin=sin(segment_angle+symbol_rotation);highp float angle_cos=cos(segment_angle+symbol_rotation);mat2 rotation_matrix=mat2(angle_cos,-1.0*angle_sin,angle_sin,angle_cos);vec4 projected_pos=u_label_plane_matrix*vec4(a_projected_pos.xy,0.0,1.0);gl_Position=u_coord_matrix*vec4(projected_pos.xy/projected_pos.w+rotation_matrix*(a_offset/32.0*max(a_minFontScale,fontScale)+a_pxoffset/16.0),0.0,1.0);v_tex=a_tex/u_texsize;vec2 fade_opacity=unpack_opacity(a_fade_opacity);float fade_change=fade_opacity[1] > 0.5 ? u_fade_change :-u_fade_change;v_fade_opacity=max(0.0,min(1.0,fade_opacity[0]+fade_change));}\"),xr=_r(\"#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);}\"),br=_r(\"#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 _r(t,e){var r=/#pragma mapbox: ([\\w]+) ([\\w]+) ([\\w]+) ([\\w]+)/g,n=e.match(/attribute ([\\w]+) ([\\w]+)/g),i=t.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),a=e.match(/uniform ([\\w]+) ([\\w]+)([\\s]*)([\\w]*)/g),o=a?a.concat(i):i,s={};return{fragmentSource:t=t.replace(r,(function(t,e,r,n,i){return s[i]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,n,i){var a=\"float\"===n?\"vec2\":\"vec4\",o=i.match(/color/)?\"color\":a;return s[i]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\nvarying \"+r+\" \"+n+\" \"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\nuniform lowp float u_\"+i+\"_t;\\nattribute \"+r+\" \"+a+\" a_\"+i+\";\\n#else\\nuniform \"+r+\" \"+n+\" u_\"+i+\";\\n#endif\\n\":\"vec4\"===o?\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = a_\"+i+\";\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+i+\"\\n    \"+r+\" \"+n+\" \"+i+\" = unpack_mix_\"+o+\"(a_\"+i+\", u_\"+i+\"_t);\\n#else\\n    \"+r+\" \"+n+\" \"+i+\" = u_\"+i+\";\\n#endif\\n\"})),staticAttributes:n,staticUniforms:o}}var wr=Object.freeze({__proto__:null,prelude:Ze,background:Ke,backgroundPattern:Je,circle:$e,clippingMask:Qe,heatmap:tr,heatmapTexture:er,collisionBox:rr,collisionCircle:nr,debug:ir,fill:ar,fillOutline:or,fillOutlinePattern:sr,fillPattern:lr,fillExtrusion:ur,fillExtrusionPattern:cr,hillshadePrepare:fr,hillshade:hr,line:pr,lineGradient:dr,linePattern:vr,lineSDF:gr,raster:yr,symbolIcon:mr,symbolSDF:xr,symbolTextAndIcon:br}),Tr=function(){this.boundProgram=null,this.boundLayoutVertexBuffer=null,this.boundPaintVertexBuffers=[],this.boundIndexBuffer=null,this.boundVertexOffset=null,this.boundDynamicVertexBuffer=null,this.vao=null};function kr(t){for(var e=[],r=0;r<t.length;r++)if(null!==t[r]){var n=t[r].split(\" \");e.push(n.pop())}return e}Tr.prototype.bind=function(t,e,r,n,i,a,o,s){this.context=t;for(var l=this.boundPaintVertexBuffers.length!==n.length,u=0;!l&&u<n.length;u++)this.boundPaintVertexBuffers[u]!==n[u]&&(l=!0);var c=!this.vao||this.boundProgram!==e||this.boundLayoutVertexBuffer!==r||l||this.boundIndexBuffer!==i||this.boundVertexOffset!==a||this.boundDynamicVertexBuffer!==o||this.boundDynamicVertexBuffer2!==s;!t.extVertexArrayObject||c?this.freshBind(e,r,n,i,a,o,s):(t.bindVertexArrayOES.set(this.vao),o&&o.bind(),i&&i.dynamicDraw&&i.bind(),s&&s.bind())},Tr.prototype.freshBind=function(t,e,r,n,i,a,o){var s,l=t.numAttributes,u=this.context,c=u.gl;if(u.extVertexArrayObject)this.vao&&this.destroy(),this.vao=u.extVertexArrayObject.createVertexArrayOES(),u.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=u.currentNumAttributes||0;for(var f=l;f<s;f++)c.disableVertexAttribArray(f)}e.enableAttributes(c,t);for(var h=0,p=r;h<p.length;h+=1)p[h].enableAttributes(c,t);a&&a.enableAttributes(c,t),o&&o.enableAttributes(c,t),e.bind(),e.setVertexAttribPointers(c,t,i);for(var d=0,v=r;d<v.length;d+=1){var g=v[d];g.bind(),g.setVertexAttribPointers(c,t,i)}a&&(a.bind(),a.setVertexAttribPointers(c,t,i)),n&&n.bind(),o&&(o.bind(),o.setVertexAttribPointers(c,t,i)),u.currentNumAttributes=l},Tr.prototype.destroy=function(){this.vao&&(this.context.extVertexArrayObject.deleteVertexArrayOES(this.vao),this.vao=null)};var Ar=function(t,e,r,n,i,a){var o=t.gl;this.program=o.createProgram();for(var s=kr(r.staticAttributes),l=n?n.getBinderAttributes():[],u=s.concat(l),c=r.staticUniforms?kr(r.staticUniforms):[],f=n?n.getBinderUniforms():[],h=[],p=0,d=c.concat(f);p<d.length;p+=1){var v=d[p];h.indexOf(v)<0&&h.push(v)}var g=n?n.defines():[];a&&g.push(\"#define OVERDRAW_INSPECTOR;\");var y=g.concat(Ze.fragmentSource,r.fragmentSource).join(\"\\n\"),m=g.concat(Ze.vertexSource,r.vertexSource).join(\"\\n\"),x=o.createShader(o.FRAGMENT_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(x,y),o.compileShader(x),o.attachShader(this.program,x);var b=o.createShader(o.VERTEX_SHADER);if(o.isContextLost())this.failedToCreate=!0;else{o.shaderSource(b,m),o.compileShader(b),o.attachShader(this.program,b),this.attributes={};var _={};this.numAttributes=u.length;for(var w=0;w<this.numAttributes;w++)u[w]&&(o.bindAttribLocation(this.program,w,u[w]),this.attributes[u[w]]=w);o.linkProgram(this.program),o.deleteShader(b),o.deleteShader(x);for(var T=0;T<h.length;T++){var k=h[T];if(k&&!_[k]){var A=o.getUniformLocation(this.program,k);A&&(_[k]=A)}}this.fixedUniforms=i(t,_),this.binderUniforms=n?n.getUniforms(t,_):[]}}};function Mr(t,e,r){var n=1/ge(r,1,e.transform.tileZoom),i=Math.pow(2,r.tileID.overscaledZ),a=r.tileSize*Math.pow(2,e.transform.tileZoom)/i,o=a*(r.tileID.canonical.x+r.tileID.wrap*i),s=a*r.tileID.canonical.y;return{u_image:0,u_texsize:r.imageAtlasTexture.size,u_scale:[n,t.fromScale,t.toScale],u_fade:t.t,u_pixel_coord_upper:[o>>16,s>>16],u_pixel_coord_lower:[65535&o,65535&s]}}Ar.prototype.draw=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v){var g,y=t.gl;if(!this.failedToCreate){for(var m in t.program.set(this.program),t.setDepthMode(r),t.setStencilMode(n),t.setColorMode(i),t.setCullFace(a),this.fixedUniforms)this.fixedUniforms[m].set(o[m]);p&&p.setUniforms(t,this.binderUniforms,f,{zoom:h});for(var x=(g={},g[y.LINES]=2,g[y.TRIANGLES]=3,g[y.LINE_STRIP]=1,g)[e],b=0,_=c.get();b<_.length;b+=1){var w=_[b],T=w.vaos||(w.vaos={});(T[s]||(T[s]=new Tr)).bind(t,this,l,p?p.getPaintVertexBuffers():[],u,w.vertexOffset,d,v),y.drawElements(e,w.primitiveLength*x,y.UNSIGNED_SHORT,w.primitiveOffset*x*2)}}};var Sr=function(e,r,n,i){var a=r.style.light,o=a.properties.get(\"position\"),s=[o.x,o.y,o.z],l=t.create$1();\"viewport\"===a.properties.get(\"anchor\")&&t.fromRotation(l,-r.transform.angle),t.transformMat3(s,s,l);var u=a.properties.get(\"color\");return{u_matrix:e,u_lightpos:s,u_lightintensity:a.properties.get(\"intensity\"),u_lightcolor:[u.r,u.g,u.b],u_vertical_gradient:+n,u_opacity:i}},Er=function(e,r,n,i,a,o,s){return t.extend(Sr(e,r,n,i),Mr(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Lr=function(t){return{u_matrix:t}},Cr=function(e,r,n,i){return t.extend(Lr(e),Mr(n,r,i))},Pr=function(t,e){return{u_matrix:t,u_world:e}},Or=function(e,r,n,i,a){return t.extend(Cr(e,r,n,i),{u_world:a})},Ir=function(e,r,n,i){var a,o,s=e.transform;if(\"map\"===i.paint.get(\"circle-pitch-alignment\")){var l=ge(n,1,s.zoom);a=!0,o=[l,l]}else a=!1,o=s.pixelsToGLUnits;return{u_camera_to_center_distance:s.cameraToCenterDistance,u_scale_with_map:+(\"map\"===i.paint.get(\"circle-pitch-scale\")),u_matrix:e.translatePosMatrix(r.posMatrix,n,i.paint.get(\"circle-translate\"),i.paint.get(\"circle-translate-anchor\")),u_pitch_with_map:+a,u_device_pixel_ratio:t.browser.devicePixelRatio,u_extrude_scale:o}},zr=function(t,e,r){var n=ge(r,1,e.zoom),i=Math.pow(2,e.zoom-r.tileID.overscaledZ),a=r.tileID.overscaleFactor();return{u_matrix:t,u_camera_to_center_distance:e.cameraToCenterDistance,u_pixels_to_tile_units:n,u_extrude_scale:[e.pixelsToGLUnits[0]/(n*i),e.pixelsToGLUnits[1]/(n*i)],u_overscale_factor:a}},Dr=function(t,e,r){return{u_matrix:t,u_inv_matrix:e,u_camera_to_center_distance:r.cameraToCenterDistance,u_viewport_size:[r.width,r.height]}},Rr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Fr=function(t){return{u_matrix:t}},Br=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}},Nr=function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}},jr=function(e,r,n){var i=n.paint.get(\"hillshade-shadow-color\"),a=n.paint.get(\"hillshade-highlight-color\"),o=n.paint.get(\"hillshade-accent-color\"),s=n.paint.get(\"hillshade-illumination-direction\")*(Math.PI/180);\"viewport\"===n.paint.get(\"hillshade-illumination-anchor\")&&(s-=e.transform.angle);var l,u,c,f=!e.options.moving;return{u_matrix:e.transform.calculatePosMatrix(r.tileID.toUnwrapped(),f),u_image:0,u_latrange:(l=r.tileID,u=Math.pow(2,l.canonical.z),c=l.canonical.y,[new t.MercatorCoordinate(0,c/u).toLngLat().lat,new t.MercatorCoordinate(0,(c+1)/u).toLngLat().lat]),u_light:[n.paint.get(\"hillshade-exaggeration\"),s],u_shadow:i,u_highlight:a,u_accent:o}},Ur=function(e,r){var n=r.stride,i=t.create();return t.ortho(i,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(i,i,[0,-t.EXTENT,0]),{u_matrix:i,u_image:1,u_dimension:[n,n],u_zoom:e.overscaledZ,u_unpack:r.getUnpackVector()}};var Vr=function(e,r,n){var i=e.transform;return{u_matrix:Yr(e,r,n),u_ratio:1/ge(r,1,i.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_units_to_pixels:[1/i.pixelsToGLUnits[0],1/i.pixelsToGLUnits[1]]}},qr=function(e,r,n,i){return t.extend(Vr(e,r,n),{u_image:0,u_image_height:i})},Hr=function(e,r,n,i){var a=e.transform,o=Wr(r,a);return{u_matrix:Yr(e,r,n),u_texsize:r.imageAtlasTexture.size,u_ratio:1/ge(r,1,a.zoom),u_device_pixel_ratio:t.browser.devicePixelRatio,u_image:0,u_scale:[o,i.fromScale,i.toScale],u_fade:i.t,u_units_to_pixels:[1/a.pixelsToGLUnits[0],1/a.pixelsToGLUnits[1]]}},Gr=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Wr(r,o),u=\"round\"===n.layout.get(\"line-cap\"),c=s.getDash(i.from,u),f=s.getDash(i.to,u),h=c.width*a.fromScale,p=f.width*a.toScale;return t.extend(Vr(e,r,n),{u_patternscale_a:[l/h,-c.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:c.y,u_tex_y_b:f.y,u_mix:a.t})};function Wr(t,e){return 1/ge(t,1,e.tileZoom)}function Yr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var Xr=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:Zr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Zr(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 Kr,Jr=function(t,e,r,n,i,a,o,s,l,u){var c=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:c.cameraToCenterDistance,u_pitch:c.pitch/360*2*Math.PI,u_rotate_symbol:+r,u_aspect_ratio:c.width/c.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:u,u_texture:0}},$r=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Jr(e,r,n,i,a,o,s,l,u,c),{u_gamma_scale:i?Math.cos(h._pitch)*h.cameraToCenterDistance:1,u_device_pixel_ratio:t.browser.devicePixelRatio,u_is_halo:+f})},Qr=function(e,r,n,i,a,o,s,l,u,c){return t.extend($r(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},tn=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},en=function(e,r,n,i,a,o){return t.extend(function(t,e,r,n){var i=r.imageManager.getPattern(t.from.toString()),a=r.imageManager.getPattern(t.to.toString()),o=r.imageManager.getPixelSize(),s=o.width,l=o.height,u=Math.pow(2,n.tileID.overscaledZ),c=n.tileSize*Math.pow(2,r.transform.tileZoom)/u,f=c*(n.tileID.canonical.x+n.tileID.wrap*u),h=c*n.tileID.canonical.y;return{u_image:0,u_pattern_tl_a:i.tl,u_pattern_br_a:i.br,u_pattern_tl_b:a.tl,u_pattern_br_b:a.br,u_texsize:[s,l],u_mix:e.t,u_pattern_size_a:i.displaySize,u_pattern_size_b:a.displaySize,u_scale_a:e.fromScale,u_scale_b:e.toScale,u_tile_units_to_pixels:1/ge(n,1,r.transform.tileZoom),u_pixel_coord_upper:[f>>16,h>>16],u_pixel_coord_lower:[65535&f,65535&h]}}(i,o,n,a),{u_matrix:e,u_opacity:r})},rn={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image),u_image_height:new t.Uniform1f(e,r.u_image_height)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function nn(e,r,n,i,a,o,s){for(var l=e.context,u=l.gl,c=e.useProgram(\"collisionBox\"),f=[],h=0,p=0,d=0;d<i.length;d++){var v=i[d],g=r.getTile(v),y=g.getBucket(n);if(y){var m=v.posMatrix;0===a[0]&&0===a[1]||(m=e.translatePosMatrix(v.posMatrix,g,a,o));var x=s?y.textCollisionBox:y.iconCollisionBox,b=y.collisionCircleArray;if(b.length>0){var _=t.create(),w=m;t.mul(_,y.placementInvProjMatrix,e.transform.glCoordMatrix),t.mul(_,_,y.placementViewportMatrix),f.push({circleArray:b,circleOffset:p,transform:w,invTransform:_}),p=h+=b.length/4}x&&c.draw(l,u.LINES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,zr(m,e.transform,g),n.id,x.layoutVertexBuffer,x.indexBuffer,x.segments,null,e.transform.zoom,null,null,x.collisionVertexBuffer)}}if(s&&f.length){var T=e.useProgram(\"collisionCircle\"),k=new t.StructArrayLayout2f1f2i16;k.resize(4*h),k._trim();for(var A=0,M=0,S=f;M<S.length;M+=1)for(var E=S[M],L=0;L<E.circleArray.length/4;L++){var C=4*L,P=E.circleArray[C+0],O=E.circleArray[C+1],I=E.circleArray[C+2],z=E.circleArray[C+3];k.emplace(A++,P,O,I,z,0),k.emplace(A++,P,O,I,z,1),k.emplace(A++,P,O,I,z,2),k.emplace(A++,P,O,I,z,3)}(!Kr||Kr.length<2*h)&&(Kr=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(Kr,!0),R=l.createVertexBuffer(k,t.collisionCircleLayout.members,!0),F=0,B=f;F<B.length;F+=1){var N=B[F],j=Dr(N.transform,N.invTransform,e.transform);T.draw(l,u.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,j,n.id,R,D,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),D.destroy()}}var an=t.identity(new Float32Array(16));function on(e,r,n,i,a,o){var s=t.getAnchorAlignment(e),l=-(s.horizontalAlign-.5)*r,u=-(s.verticalAlign-.5)*n,c=t.evaluateVariableOffset(e,i);return new t.Point((l/a+c[0])*o,(u/a+c[1])*o)}function sn(e,r,n,i,a,o,s,l,u,c,f){var h=e.text.placedSymbolArray,p=e.text.dynamicLayoutVertexArray,d=e.icon.dynamicLayoutVertexArray,v={};p.clear();for(var g=0;g<h.length;g++){var y=h.get(g),m=e.allowVerticalPlacement&&!y.placedOrientation,x=y.hidden||!y.crossTileID||m?null:i[y.crossTileID];if(x){var b=new t.Point(y.anchorX,y.anchorY),_=re(b,n?l:s),w=ne(o.cameraToCenterDistance,_.signedDistanceFromCamera),T=a.evaluateSizeForFeature(e.textSizeData,c,y)*w/t.ONE_EM;n&&(T*=e.tilePixelRatio/u);for(var k=x.width,A=x.height,M=on(x.anchor,k,A,x.textOffset,x.textBoxScale,T),S=n?re(b.add(M),s).point:_.point.add(r?M.rotate(-o.angle):M),E=e.allowVerticalPlacement&&y.placedOrientation===t.WritingMode.vertical?Math.PI/2:0,L=0;L<y.numGlyphs;L++)t.addDynamicAttributes(p,S,E);f&&y.associatedIconIndex>=0&&(v[y.associatedIconIndex]={shiftedAnchor:S,angle:E})}else he(y.numGlyphs,p)}if(f){d.clear();for(var C=e.icon.placedSymbolArray,P=0;P<C.length;P++){var O=C.get(P);if(O.hidden)he(O.numGlyphs,d);else{var I=v[P];if(I)for(var z=0;z<O.numGlyphs;z++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function ln(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function un(e,r,n,i,a,o,s,l,u,c,f,h){for(var p=e.context,d=p.gl,v=e.transform,g=\"map\"===l,y=\"map\"===u,m=g&&\"point\"!==n.layout.get(\"symbol-placement\"),x=g&&!y&&!m,b=void 0!==n.layout.get(\"symbol-sort-key\").constantOr(1),_=!1,w=e.depthModeForSublayer(0,Mt.ReadOnly),T=n.layout.get(\"text-variable-anchor\"),k=[],A=0,M=i;A<M.length;A+=1){var S=M[A],E=r.getTile(S),L=E.getBucket(n);if(L){var C=a?L.text:L.icon;if(C&&C.segments.get().length){var P=C.programConfigurations.get(n.id),O=a||L.sdfIcons,I=a?L.textSizeData:L.iconSizeData,z=y||0!==v.pitch,D=e.useProgram(ln(O,a,L),P),R=t.evaluateSizeForZoom(I,v.zoom),F=void 0,B=[0,0],N=void 0,j=void 0,U=null,V=void 0;if(a){if(N=E.glyphAtlasTexture,j=d.LINEAR,F=E.glyphAtlasTexture.size,L.iconsInText){B=E.imageAtlasTexture.size,U=E.imageAtlasTexture;var q=\"composite\"===I.kind||\"camera\"===I.kind;V=z||e.options.rotating||e.options.zooming||q?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||L.iconsNeedLinear;N=E.imageAtlasTexture,j=O||e.options.rotating||e.options.zooming||H||z?d.LINEAR:d.NEAREST,F=E.imageAtlasTexture.size}var G=ge(E,1,e.transform.zoom),W=te(S.posMatrix,y,g,e.transform,G),Y=ee(S.posMatrix,y,g,e.transform,G),X=T&&L.hasTextData(),Z=\"none\"!==n.layout.get(\"icon-text-fit\")&&X&&L.hasIconData();m&&ae(L,S.posMatrix,e,a,W,Y,y,c);var K=e.translatePosMatrix(S.posMatrix,E,o,s),J=m||a&&T||Z?an:W,$=e.translatePosMatrix(Y,E,o,s,!0),Q=O&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),tt={program:D,buffers:C,uniformValues:O?L.iconsInText?Qr(I.kind,R,x,y,e,K,J,$,F,B):$r(I.kind,R,x,y,e,K,J,$,a,F,!0):Jr(I.kind,R,x,y,e,K,J,$,a,F),atlasTexture:N,atlasTextureIcon:U,atlasInterpolation:j,atlasInterpolationIcon:V,isSDF:O,hasHalo:Q};if(b&&L.canOverlap){_=!0;for(var et=0,rt=C.segments.get();et<rt.length;et+=1){var nt=rt[et];k.push({segments:new t.SegmentVector([nt]),sortKey:nt.sortKey,state:tt})}}else k.push({segments:C.segments,sortKey:0,state:tt})}}}_&&k.sort((function(t,e){return t.sortKey-e.sortKey}));for(var it=0,at=k;it<at.length;it+=1){var ot=at[it],st=ot.state;if(p.activeTexture.set(d.TEXTURE0),st.atlasTexture.bind(st.atlasInterpolation,d.CLAMP_TO_EDGE),st.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),st.atlasTextureIcon&&st.atlasTextureIcon.bind(st.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),st.isSDF){var lt=st.uniformValues;st.hasHalo&&(lt.u_is_halo=1,cn(st.buffers,ot.segments,n,e,st.program,w,f,h,lt)),lt.u_is_halo=0}cn(st.buffers,ot.segments,n,e,st.program,w,f,h,st.uniformValues)}}function cn(t,e,r,n,i,a,o,s,l){var u=n.context,c=u.gl;i.draw(u,c.TRIANGLES,a,o,s,Ct.disabled,l,r.id,t.layoutVertexBuffer,t.indexBuffer,e,r.paint,n.transform.zoom,t.programConfigurations.get(r.id),t.dynamicLayoutVertexBuffer,t.opacityVertexBuffer)}function fn(t,e,r,n,i,a,o){var s,l,u,c,f,h=t.context.gl,p=r.paint.get(\"fill-pattern\"),d=p&&p.constantOr(1),v=r.getCrossfadeParameters();o?(l=d&&!r.getPaintProperty(\"fill-outline-color\")?\"fillOutlinePattern\":\"fillOutline\",s=h.LINES):(l=d?\"fillPattern\":\"fill\",s=h.TRIANGLES);for(var g=0,y=n;g<y.length;g+=1){var m=y[g],x=e.getTile(m);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(v));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(m.posMatrix,x,r.paint.get(\"fill-translate\"),r.paint.get(\"fill-translate-anchor\"));if(o){c=b.indexBuffer2,f=b.segments2;var E=[h.drawingBufferWidth,h.drawingBufferHeight];u=\"fillOutlinePattern\"===l&&d?Or(S,t,v,x,E):Pr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Cr(S,t,v,x):Lr(S);w.draw(t.context,s,i,t.stencilModeForClipping(m),a,Ct.disabled,u,r.id,b.layoutVertexBuffer,c,f,r.paint,t.transform.zoom,_)}}}}function hn(t,e,r,n,i,a,o){for(var s=t.context,l=s.gl,u=r.paint.get(\"fill-extrusion-pattern\"),c=u.constantOr(1),f=r.getCrossfadeParameters(),h=r.paint.get(\"fill-extrusion-opacity\"),p=0,d=n;p<d.length;p+=1){var v=d[p],g=e.getTile(v),y=g.getBucket(r);if(y){var m=y.programConfigurations.get(r.id),x=t.useProgram(c?\"fillExtrusionPattern\":\"fillExtrusion\",m);c&&(t.context.activeTexture.set(l.TEXTURE0),g.imageAtlasTexture.bind(l.LINEAR,l.CLAMP_TO_EDGE),m.updatePaintBuffers(f));var b=u.constantOr(null);if(b&&g.imageAtlas){var _=g.imageAtlas,w=_.patternPositions[b.to.toString()],T=_.patternPositions[b.from.toString()];w&&T&&m.setConstantPatternPositions(w,T)}var k=t.translatePosMatrix(v.posMatrix,g,r.paint.get(\"fill-extrusion-translate\"),r.paint.get(\"fill-extrusion-translate-anchor\")),A=r.paint.get(\"fill-extrusion-vertical-gradient\"),M=c?Er(k,t,A,h,v,f,g):Sr(k,t,A,h);x.draw(s,s.gl.TRIANGLES,i,a,o,Ct.backCCW,M,r.id,y.layoutVertexBuffer,y.indexBuffer,y.segments,r.paint,t.transform.zoom,m)}}}function pn(t,e,r,n,i,a){var o=t.context,s=o.gl,l=e.fbo;if(l){var u=t.useProgram(\"hillshade\");o.activeTexture.set(s.TEXTURE0),s.bindTexture(s.TEXTURE_2D,l.colorAttachment.get());var c=jr(t,e,r);u.draw(o,s.TRIANGLES,n,i,a,Ct.disabled,c,r.id,t.rasterBoundsBuffer,t.quadTriangleIndexBuffer,t.rasterBoundsSegments)}}function dn(e,r,n,i,a,o){var s=e.context,l=s.gl,u=r.dem;if(u&&u.data){var c=u.dim,f=u.stride,h=u.getPixels();if(s.activeTexture.set(l.TEXTURE1),s.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(f),r.demTexture){var p=r.demTexture;p.update(h,{premultiply:!1}),p.bind(l.NEAREST,l.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(s,h,l.RGBA,{premultiply:!1}),r.demTexture.bind(l.NEAREST,l.CLAMP_TO_EDGE);s.activeTexture.set(l.TEXTURE0);var d=r.fbo;if(!d){var v=new t.Texture(s,{width:c,height:c,data:null},l.RGBA);v.bind(l.LINEAR,l.CLAMP_TO_EDGE),(d=r.fbo=s.createFramebuffer(c,c,!0)).colorAttachment.set(v.texture)}s.bindFramebuffer.set(d.framebuffer),s.viewport.set([0,0,c,c]),e.useProgram(\"hillshadePrepare\").draw(s,l.TRIANGLES,i,a,o,Ct.disabled,Ur(r.tileID,u),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function vn(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,u=r?(s-r.timeAdded)/o:-1,c=n.getSource(),f=a.coveringZoomLevel({tileSize:c.tileSize,roundZoom:c.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-u,0,1);return e.refreshedUponExpiration&&l>=1&&(e.refreshedUponExpiration=!1),r?{opacity:1,mix:1-p}:{opacity:p,mix:0}}return{opacity:1,mix:0}}var gn=new t.Color(1,0,0,1),yn=new t.Color(0,1,0,1),mn=new t.Color(0,0,1,1),xn=new t.Color(1,0,1,1),bn=new t.Color(0,1,1,1);function _n(t){var e=t.transform.padding;wn(t,t.transform.height-(e.top||0),3,gn),wn(t,e.bottom||0,3,yn),Tn(t,e.left||0,3,mn),Tn(t,t.transform.width-(e.right||0),3,xn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;kn(t,e-a/2,r-i/2,a,i,n),kn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,bn)}function wn(t,e,r,n){kn(t,0,e+r/2,t.transform.width,r,n)}function Tn(t,e,r,n){kn(t,e-r/2,0,r,t.transform.height,n)}function kn(e,r,n,i,a,o){var s=e.context,l=s.gl;l.enable(l.SCISSOR_TEST),l.scissor(r*t.browser.devicePixelRatio,n*t.browser.devicePixelRatio,i*t.browser.devicePixelRatio,a*t.browser.devicePixelRatio),s.clear({color:o}),l.disable(l.SCISSOR_TEST)}function An(e,r,n){var i=e.context,a=i.gl,o=n.posMatrix,s=e.useProgram(\"debug\"),l=Mt.disabled,u=Et.disabled,c=e.colorModeForRenderPass(),f=\"$debug\";i.activeTexture.set(a.TEXTURE0),e.emptyTexture.bind(a.LINEAR,a.CLAMP_TO_EDGE),s.draw(i,a.LINE_STRIP,l,u,c,Ct.disabled,Rr(o,t.Color.red),f,e.debugBuffer,e.tileBorderIndexBuffer,e.debugSegments);var h=r.getTileByID(n.key).latestRawTileData,p=h&&h.byteLength||0,d=Math.floor(p/1024),v=r.getTile(n).tileSize,g=512/Math.min(v,512)*(n.overscaledZ/e.transform.zoom)*.5,y=n.canonical.toString();n.overscaledZ!==n.canonical.z&&(y+=\" => \"+n.overscaledZ),function(t,e){t.initDebugOverlayCanvas();var r=t.debugOverlayCanvas,n=t.context.gl,i=t.debugOverlayCanvas.getContext(\"2d\");i.clearRect(0,0,r.width,r.height),i.shadowColor=\"white\",i.shadowBlur=2,i.lineWidth=1.5,i.strokeStyle=\"white\",i.textBaseline=\"top\",i.font=\"bold 36px Open Sans, sans-serif\",i.fillText(e,5,5),i.strokeText(e,5,5),t.debugOverlayTexture.update(r),t.debugOverlayTexture.bind(n.LINEAR,n.CLAMP_TO_EDGE)}(e,y+\" \"+d+\"kb\"),s.draw(i,a.TRIANGLES,l,u,Lt.alphaBlended,Ct.disabled,Rr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var Mn={symbol:function(e,r,n,i,a){if(\"translucent\"===e.renderPass){var o=Et.disabled,s=e.colorModeForRenderPass();n.layout.get(\"text-variable-anchor\")&&function(e,r,n,i,a,o,s){for(var l=r.transform,u=\"map\"===a,c=\"map\"===o,f=0,h=e;f<h.length;f+=1){var p=h[f],d=i.getTile(p),v=d.getBucket(n);if(v&&v.text&&v.text.segments.get().length){var g=v.textSizeData,y=t.evaluateSizeForZoom(g,l.zoom),m=ge(d,1,r.transform.zoom),x=te(p.posMatrix,c,u,r.transform,m),b=\"none\"!==n.layout.get(\"icon-text-fit\")&&v.hasIconData();if(y){var _=Math.pow(2,l.zoom-d.tileID.overscaledZ);sn(v,u,c,s,t.symbolSize,l,x,p.posMatrix,_,y,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)&&un(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)&&un(e,r,n,i,!0,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),n.layout.get(\"text-rotation-alignment\"),n.layout.get(\"text-pitch-alignment\"),n.layout.get(\"text-keep-upright\"),o,s),r.map.showCollisionBoxes&&(nn(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),nn(e,r,n,i,n.paint.get(\"icon-translate\"),n.paint.get(\"icon-translate-anchor\"),!1))}},circle:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"circle-opacity\"),o=n.paint.get(\"circle-stroke-width\"),s=n.paint.get(\"circle-stroke-opacity\"),l=void 0!==n.layout.get(\"circle-sort-key\").constantOr(1);if(0!==a.constantOr(1)||0!==o.constantOr(1)&&0!==s.constantOr(1)){for(var u=e.context,c=u.gl,f=e.depthModeForSublayer(0,Mt.ReadOnly),h=Et.disabled,p=e.colorModeForRenderPass(),d=[],v=0;v<i.length;v++){var g=i[v],y=r.getTile(g),m=y.getBucket(n);if(m){var x=m.programConfigurations.get(n.id),b={programConfiguration:x,program:e.useProgram(\"circle\",x),layoutVertexBuffer:m.layoutVertexBuffer,indexBuffer:m.indexBuffer,uniformValues:Ir(e,g,y,n)};if(l)for(var _=0,w=m.segments.get();_<w.length;_+=1){var T=w[_];d.push({segments:new t.SegmentVector([T]),sortKey:T.sortKey,state:b})}else d.push({segments:m.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,O=S.uniformValues,I=M.segments;L.draw(u,c.TRIANGLES,f,h,p,Ct.disabled,O,n.id,C,P,I,n.paint,e.transform.zoom,E)}}}},heatmap:function(e,r,n,i){if(0!==n.paint.get(\"heatmap-opacity\"))if(\"offscreen\"===e.renderPass){var a=e.context,o=a.gl,s=Et.disabled,l=new Lt([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 u=0;u<i.length;u++){var c=i[u];if(!r.hasRenderableParent(c)){var f=r.getTile(c),h=f.getBucket(n);if(h){var p=h.programConfigurations.get(n.id),d=e.useProgram(\"heatmap\",p),v=e.transform.zoom;d.draw(a,o.TRIANGLES,Mt.disabled,s,l,Ct.disabled,Br(c.posMatrix,f,v,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){n.activeTexture.set(i.TEXTURE0),i.bindTexture(i.TEXTURE_2D,a.colorAttachment.get()),n.activeTexture.set(i.TEXTURE1);var o=r.colorRampTexture;o||(o=r.colorRampTexture=new t.Texture(n,r.colorRamp,i.RGBA)),o.bind(i.LINEAR,i.CLAMP_TO_EDGE),e.useProgram(\"heatmapTexture\").draw(n,i.TRIANGLES,Mt.disabled,Et.disabled,e.colorModeForRenderPass(),Ct.disabled,Nr(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1))for(var s=e.depthModeForSublayer(0,Mt.ReadOnly),l=e.colorModeForRenderPass(),u=n.paint.get(\"line-dasharray\"),c=n.paint.get(\"line-pattern\"),f=c.constantOr(1),h=n.paint.get(\"line-gradient\"),p=n.getCrossfadeParameters(),d=f?\"linePattern\":u?\"lineSDF\":h?\"lineGradient\":\"line\",v=e.context,g=v.gl,y=!0,m=0,x=i;m<x.length;m+=1){var b=x[m],_=r.getTile(b);if(!f||_.patternsLoaded()){var w=_.getBucket(n);if(w){var T=w.programConfigurations.get(n.id),k=e.context.program.get(),A=e.useProgram(d,T),M=y||A.program!==k,S=c.constantOr(null);if(S&&_.imageAtlas){var E=_.imageAtlas,L=E.patternPositions[S.to.toString()],C=E.patternPositions[S.from.toString()];L&&C&&T.setConstantPatternPositions(L,C)}var P=f?Hr(e,_,n,p):u?Gr(e,_,n,u,p):h?qr(e,_,n,w.lineClipsArray.length):Vr(e,_,n);if(f)v.activeTexture.set(g.TEXTURE0),_.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),T.updatePaintBuffers(p);else if(u&&(M||e.lineAtlas.dirty))v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v);else if(h){var O=w.gradients[n.id],I=O.texture;if(n.gradientVersion!==O.version){var z=256;if(n.stepInterpolant){var D=r.getSource().maxzoom,R=b.canonical.z===D?Math.ceil(1<<e.transform.maxZoom-b.canonical.z):1,F=w.maxLineLength/t.EXTENT*1024*R;z=t.clamp(t.nextPowerOfTwo(F),256,v.maxTextureSize)}O.gradient=t.renderColorRamp({expression:n.gradientExpression(),evaluationKey:\"lineProgress\",resolution:z,image:O.gradient||void 0,clips:w.lineClipsArray}),O.texture?O.texture.update(O.gradient):O.texture=new t.Texture(v,O.gradient,g.RGBA),O.version=n.gradientVersion,I=O.texture}v.activeTexture.set(g.TEXTURE0),I.bind(n.stepInterpolant?g.NEAREST:g.LINEAR,g.CLAMP_TO_EDGE)}A.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(b),l,Ct.disabled,P,n.id,w.layoutVertexBuffer,w.indexBuffer,w.segments,n.paint,e.transform.zoom,T,w.layoutVertexBuffer2),y=!1}}}}},fill:function(e,r,n,i){var a=n.paint.get(\"fill-color\"),o=n.paint.get(\"fill-opacity\");if(0!==o.constantOr(1)){var s=e.colorModeForRenderPass(),l=n.paint.get(\"fill-pattern\"),u=e.opaquePassEnabledForLayer()&&!l.constantOr(1)&&1===a.constantOr(t.Color.transparent).a&&1===o.constantOr(0)?\"opaque\":\"translucent\";if(e.renderPass===u){var c=e.depthModeForSublayer(1,\"opaque\"===e.renderPass?Mt.ReadWrite:Mt.ReadOnly);fn(e,r,n,i,c,s,!1)}if(\"translucent\"===e.renderPass&&n.paint.get(\"fill-antialias\")){var f=e.depthModeForSublayer(n.getPaintProperty(\"fill-outline-color\")?2:0,Mt.ReadOnly);fn(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 Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D);if(1!==i||r.paint.get(\"fill-extrusion-pattern\").constantOr(1))hn(t,e,r,n,a,Et.disabled,Lt.disabled),hn(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();hn(t,e,r,n,a,Et.disabled,o)}}},hillshade:function(t,e,r,n){if(\"offscreen\"===t.renderPass||\"translucent\"===t.renderPass){for(var i=t.context,a=t.depthModeForSublayer(0,Mt.ReadOnly),o=t.colorModeForRenderPass(),s=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],l=s[0],u=0,c=s[1];u<c.length;u+=1){var f=c[u],h=e.getTile(f);h.needsHillshadePrepare&&\"offscreen\"===t.renderPass?dn(t,h,r,a,Et.disabled,o):\"translucent\"===t.renderPass&&pn(t,h,r,a,l[f.overscaledZ],o)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),u=o instanceof I?[{},n]:t.stencilConfigForOverlap(n),c=u[0],f=u[1],h=f[f.length-1].overscaledZ,p=!t.options.moving,d=0,v=f;d<v.length;d+=1){var g=v[d],y=t.depthModeForSublayer(g.overscaledZ-h,1===r.paint.get(\"raster-opacity\")?Mt.ReadWrite:Mt.ReadOnly,a.LESS),m=e.getTile(g),x=t.transform.calculatePosMatrix(g.toUnwrapped(),p);m.registerFadeDuration(r.paint.get(\"raster-fade-duration\"));var b=e.findLoadedParent(g,0),_=vn(m,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),m.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-m.tileID.overscaledZ),T=[m.tileID.canonical.x*w%1,m.tileID.canonical.y*w%1]):m.texture.bind(k,a.CLAMP_TO_EDGE,a.LINEAR_MIPMAP_NEAREST);var A=Xr(x,T||[0,0],w||1,_,r);o instanceof I?s.draw(i,a.TRIANGLES,y,Et.disabled,l,Ct.disabled,A,r.id,o.boundsBuffer,t.quadTriangleIndexBuffer,o.boundsSegments):s.draw(i,a.TRIANGLES,y,c[g.overscaledZ],l,Ct.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,u=r.paint.get(\"background-pattern\");if(!t.isPatternMissing(u)){var c=!u&&1===n.a&&1===i&&t.opaquePassEnabledForLayer()?\"opaque\":\"translucent\";if(t.renderPass===c){var f=Et.disabled,h=t.depthModeForSublayer(0,\"opaque\"===c?Mt.ReadWrite:Mt.ReadOnly),p=t.colorModeForRenderPass(),d=t.useProgram(u?\"backgroundPattern\":\"background\"),v=s.coveringTiles({tileSize:l});u&&(a.activeTexture.set(o.TEXTURE0),t.imageManager.bind(t.context));for(var g=r.getCrossfadeParameters(),y=0,m=v;y<m.length;y+=1){var x=m[y],b=t.transform.calculatePosMatrix(x.toUnwrapped()),_=u?en(b,i,t,u,{tileID:x,tileSize:l},g):tn(b,i,n);d.draw(a,o.TRIANGLES,h,f,p,Ct.disabled,_,r.id,t.tileExtentBuffer,t.quadTriangleIndexBuffer,t.tileExtentSegments)}}}}},debug:function(t,e,r){for(var n=0;n<r.length;n++)An(t,e,r[n])},custom:function(t,e,r){var n=t.context,i=r.implementation;if(\"offscreen\"===t.renderPass){var a=i.prerender;a&&(t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),a.call(i,n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState())}else if(\"translucent\"===t.renderPass){t.setCustomLayerDefaults(),n.setColorMode(t.colorModeForRenderPass()),n.setStencilMode(Et.disabled);var o=\"3d\"===i.renderingMode?new Mt(t.context.gl.LEQUAL,Mt.ReadWrite,t.depthRangeFor3D):t.depthModeForSublayer(0,Mt.ReadOnly);n.setDepthMode(o),i.render(n.gl,t.transform.customLayerMatrix()),n.setDirty(),t.setBaseState(),n.bindFramebuffer.set(null)}}},Sn=function(t,e){this.context=new Pt(t),this.transform=e,this._tileTextures={},this.setup(),this.numSublayers=Ot.maxUnderzooming+Ot.maxOverzooming+1,this.depthEpsilon=1/Math.pow(2,16),this.crossTileSymbolIndex=new Ve,this.gpuTimers={}};Sn.prototype.resize=function(e,r){if(this.width=e*t.browser.devicePixelRatio,this.height=r*t.browser.devicePixelRatio,this.context.viewport.set([0,0,this.width,this.height]),this.style)for(var n=0,i=this.style._order;n<i.length;n+=1){var a=i[n];this.style._layers[a].resize()}},Sn.prototype.setup=function(){var e=this.context,r=new t.StructArrayLayout2i4;r.emplaceBack(0,0),r.emplaceBack(t.EXTENT,0),r.emplaceBack(0,t.EXTENT),r.emplaceBack(t.EXTENT,t.EXTENT),this.tileExtentBuffer=e.createVertexBuffer(r,Xe.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,Xe.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,O.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,Xe.members),this.viewportSegments=t.SegmentVector.simpleSegment(0,0,4,2);var o=new t.StructArrayLayout1ui2;o.emplaceBack(0),o.emplaceBack(1),o.emplaceBack(3),o.emplaceBack(2),o.emplaceBack(0),this.tileBorderIndexBuffer=e.createIndexBuffer(o);var s=new t.StructArrayLayout3ui6;s.emplaceBack(0,1,2),s.emplaceBack(2,1,3),this.quadTriangleIndexBuffer=e.createIndexBuffer(s),this.emptyTexture=new t.Texture(e,{width:1,height:1,data:new Uint8Array([0,0,0,0])},e.gl.RGBA);var l=this.context.gl;this.stencilClearMode=new Et({func:l.ALWAYS,mask:0},0,255,l.ZERO,l.ZERO,l.ZERO)},Sn.prototype.clearStencil=function(){var e=this.context,r=e.gl;this.nextStencilID=1,this.currentStencilSource=void 0;var n=t.create();t.ortho(n,0,this.width,this.height,0,0,1),t.scale(n,n,[r.drawingBufferWidth,r.drawingBufferHeight,0]),this.useProgram(\"clippingMask\").draw(e,r.TRIANGLES,Mt.disabled,this.stencilClearMode,Lt.disabled,Ct.disabled,Fr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Sn.prototype._renderTileClippingMasks=function(t,e){if(this.currentStencilSource!==t.source&&t.isTileClipped()&&e&&e.length){this.currentStencilSource=t.source;var r=this.context,n=r.gl;this.nextStencilID+e.length>256&&this.clearStencil(),r.setColorMode(Lt.disabled),r.setDepthMode(Mt.disabled);var i=this.useProgram(\"clippingMask\");this._tileClippingMaskIDs={};for(var a=0,o=e;a<o.length;a+=1){var s=o[a],l=this._tileClippingMaskIDs[s.key]=this.nextStencilID++;i.draw(r,n.TRIANGLES,Mt.disabled,new Et({func:n.ALWAYS,mask:0},l,255,n.KEEP,n.KEEP,n.REPLACE),Lt.disabled,Ct.disabled,Fr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Sn.prototype.stencilModeFor3D=function(){this.currentStencilSource=void 0,this.nextStencilID+1>256&&this.clearStencil();var t=this.nextStencilID++,e=this.context.gl;return new Et({func:e.NOTEQUAL,mask:255},t,255,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilModeForClipping=function(t){var e=this.context.gl;return new Et({func:e.EQUAL,mask:255},this._tileClippingMaskIDs[t.key],0,e.KEEP,e.KEEP,e.REPLACE)},Sn.prototype.stencilConfigForOverlap=function(t){var e,r=this.context.gl,n=t.sort((function(t,e){return e.overscaledZ-t.overscaledZ})),i=n[n.length-1].overscaledZ,a=n[0].overscaledZ-i+1;if(a>1){this.currentStencilSource=void 0,this.nextStencilID+a>256&&this.clearStencil();for(var o={},s=0;s<a;s++)o[s+i]=new Et({func:r.GEQUAL,mask:255},s+this.nextStencilID,255,r.KEEP,r.KEEP,r.REPLACE);return this.nextStencilID+=a,[o,n]}return[(e={},e[i]=Et.disabled,e),n]},Sn.prototype.colorModeForRenderPass=function(){var e=this.context.gl;if(this._showOverdrawInspector){var r=1/8;return new Lt([e.CONSTANT_COLOR,e.ONE],new t.Color(r,r,r,0),[!0,!0,!0,!0])}return\"opaque\"===this.renderPass?Lt.unblended:Lt.alphaBlended},Sn.prototype.depthModeForSublayer=function(t,e,r){if(!this.opaquePassEnabledForLayer())return Mt.disabled;var n=1-((1+this.currentLayer)*this.numSublayers+t)*this.depthEpsilon;return new Mt(r||this.context.gl.LEQUAL,e,[n,n])},Sn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Sn.prototype.render=function(e,r){var n=this;this.style=e,this.options=r,this.lineAtlas=e.lineAtlas,this.imageManager=e.imageManager,this.glyphManager=e.glyphManager,this.symbolFadeChange=e.placement.symbolFadeChange(t.browser.now()),this.imageManager.beginFrame();var i=this.style._order,a=this.style.sourceCaches;for(var o in a){var s=a[o];s.used&&s.prepare(this.context)}var l,u,c={},f={},h={};for(var p in a){var d=a[p];c[p]=d.getVisibleCoordinates(),f[p]=c[p].slice().reverse(),h[p]=d.getVisibleCoordinates(!0).reverse()}this.opaquePassCutoff=1/0;for(var v=0;v<i.length;v++){var g=i[v];if(this.style._layers[g].is3D()){this.opaquePassCutoff=v;break}}this.renderPass=\"offscreen\";for(var y=0,m=i;y<m.length;y+=1){var x=m[y],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=c[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,c[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!==(u&&u.id)&&(u=n.style.sourceCaches[t.source]),(!l||l.getSource().maxzoom<u.getSource().maxzoom)&&(l=u))})),l&&Mn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&_n(this),this.context.setDefault()},Sn.prototype.renderLayer=function(t,e,r,n){r.isHidden(this.transform.zoom)||(\"background\"===r.type||\"custom\"===r.type||n.length)&&(this.id=r.id,this.gpuTimingStart(r),Mn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Sn.prototype.gpuTimingStart=function(t){if(this.options.gpuTiming){var e=this.context.extTimerQuery,r=this.gpuTimers[t.id];r||(r=this.gpuTimers[t.id]={calls:0,cpuTime:0,query:e.createQueryEXT()}),r.calls++,e.beginQueryEXT(e.TIME_ELAPSED_EXT,r.query)}},Sn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Sn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Sn.prototype.queryGpuTimers=function(t){var e={};for(var r in t){var n=t[r],i=this.context.extTimerQuery,a=i.getQueryObjectEXT(n.query,i.QUERY_RESULT_EXT)/1e6;i.deleteQueryEXT(n.query),e[r]=a}return e},Sn.prototype.translatePosMatrix=function(e,r,n,i,a){if(!n[0]&&!n[1])return e;var o=a?\"map\"===i?this.transform.angle:0:\"viewport\"===i?-this.transform.angle:0;if(o){var s=Math.sin(o),l=Math.cos(o);n=[n[0]*l-n[1]*s,n[0]*s+n[1]*l]}var u=[a?n[0]:ge(r,n[0],this.transform.zoom),a?n[1]:ge(r,n[1],this.transform.zoom),0],c=new Float32Array(16);return t.translate(c,e,u),c},Sn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Sn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Sn.prototype.isPatternMissing=function(t){if(!t)return!1;if(!t.from||!t.to)return!0;var e=this.imageManager.getPattern(t.from.toString()),r=this.imageManager.getPattern(t.to.toString());return!e||!r},Sn.prototype.useProgram=function(t,e){this.cache=this.cache||{};var r=\"\"+t+(e?e.cacheKey:\"\")+(this._showOverdrawInspector?\"/overdraw\":\"\");return this.cache[r]||(this.cache[r]=new Ar(this.context,t,wr[t],e,rn[t],this._showOverdrawInspector)),this.cache[r]},Sn.prototype.setCustomLayerDefaults=function(){this.context.unbindVAO(),this.context.cullFace.setDefault(),this.context.activeTexture.setDefault(),this.context.pixelStoreUnpack.setDefault(),this.context.pixelStoreUnpackPremultiplyAlpha.setDefault(),this.context.pixelStoreUnpackFlipY.setDefault()},Sn.prototype.setBaseState=function(){var t=this.context.gl;this.context.cullFace.set(!1),this.context.viewport.set([0,0,this.width,this.height]),this.context.blendEquation.set(t.FUNC_ADD)},Sn.prototype.initDebugOverlayCanvas=function(){if(null==this.debugOverlayCanvas){this.debugOverlayCanvas=t.window.document.createElement(\"canvas\"),this.debugOverlayCanvas.width=512,this.debugOverlayCanvas.height=512;var e=this.context.gl;this.debugOverlayTexture=new t.Texture(this.context,this.debugOverlayCanvas,e.RGBA)}},Sn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var En=function(t,e){this.points=t,this.planes=e};En.fromInvProjectionMatrix=function(e,r,n){var i=Math.pow(2,n),a=[[-1,1,-1,1],[1,1,-1,1],[1,-1,-1,1],[-1,-1,-1,1],[-1,1,1,1],[1,1,1,1],[1,-1,1,1],[-1,-1,1,1]].map((function(r){return t.transformMat4([],r,e)})).map((function(e){return t.scale$1([],e,1/e[3]/r*i)})),o=[[0,1,2],[6,5,4],[0,3,7],[2,1,5],[3,2,6],[0,4,5]].map((function(e){var r=t.sub([],a[e[0]],a[e[1]]),n=t.sub([],a[e[2]],a[e[1]]),i=t.normalize([],t.cross([],r,n)),o=-t.dot(i,a[e[1]]);return i.concat(o)}));return new En(a,o)};var Ln=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};Ln.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 Ln(n,i)},Ln.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},Ln.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},Ln.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 u=Number.MAX_VALUE,c=-Number.MAX_VALUE,f=0;f<e.points.length;f++){var h=e.points[f][l]-this.min[l];u=Math.min(u,h),c=Math.max(c,h)}if(c<0||u>this.max[l]-this.min[l])return 0}return 1};var Cn=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};Cn.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},Cn.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)},Cn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Cn.prototype.clone=function(){return new Cn(this.top,this.bottom,this.left,this.right)},Cn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Pn=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 Cn,this._posMatrixCache={},this._alignedPosMatrixCache={}},On={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}};Pn.prototype.clone=function(){var t=new Pn(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},On.minZoom.get=function(){return this._minZoom},On.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},On.maxZoom.get=function(){return this._maxZoom},On.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},On.minPitch.get=function(){return this._minPitch},On.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},On.maxPitch.get=function(){return this._maxPitch},On.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},On.renderWorldCopies.get=function(){return this._renderWorldCopies},On.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},On.worldSize.get=function(){return this.tileSize*this.scale},On.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},On.size.get=function(){return new t.Point(this.width,this.height)},On.bearing.get=function(){return-this.angle/Math.PI*180},On.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))},On.pitch.get=function(){return this._pitch/Math.PI*180},On.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())},On.fov.get=function(){return this._fov/Math.PI*180},On.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())},On.zoom.get=function(){return this._zoom},On.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())},On.center.get=function(){return this._center},On.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},On.padding.get=function(){return this._edgeInsets.toJSON()},On.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},On.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Pn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Pn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Pn.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)},Pn.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)),u=s-1;u<=l+1;u++)0!==u&&r.push(new t.UnwrappedTileID(u,e));return r},Pn.prototype.coveringTiles=function(e){var r=this.coveringZoomLevel(e),n=r;if(void 0!==e.minzoom&&r<e.minzoom)return[];void 0!==e.maxzoom&&r>e.maxzoom&&(r=e.maxzoom);var i=t.MercatorCoordinate.fromLngLat(this.center),a=Math.pow(2,r),o=[a*i.x,a*i.y,0],s=En.fromInvProjectionMatrix(this.invProjMatrix,this.worldSize,r),l=e.minzoom||0;this.pitch<=60&&this._edgeInsets.top<.1&&(l=r);var u=function(t){return{aabb:new Ln([t*a,0,0],[(t+1)*a,a,0]),zoom:0,x:0,y:0,wrap:t,fullyVisible:!1}},c=[],f=[],h=r,p=e.reparseOverscaled?n:r;if(this._renderWorldCopies)for(var d=1;d<=3;d++)c.push(u(-d)),c.push(u(d));for(c.push(u(0));c.length>0;){var v=c.pop(),g=v.x,y=v.y,m=v.fullyVisible;if(!m){var x=v.aabb.intersects(s);if(0===x)continue;m=2===x}var b=v.aabb.distanceX(o),_=v.aabb.distanceY(o),w=Math.max(Math.abs(b),Math.abs(_)),T=3+(1<<h-v.zoom)-2;if(v.zoom===h||w>T&&v.zoom>=l)f.push({tileID:new t.OverscaledTileID(v.zoom===h?p:v.zoom,v.wrap,v.zoom,g,y),distanceSq:t.sqrLen([o[0]-.5-g,o[1]-.5-y])});else for(var k=0;k<4;k++){var A=(g<<1)+k%2,M=(y<<1)+(k>>1);c.push({aabb:v.aabb.quadrant(k),zoom:v.zoom+1,x:A,y:M,wrap:v.wrap,fullyVisible:m})}}return f.sort((function(t,e){return t.distanceSq-e.distanceSq})).map((function(t){return t.tileID}))},Pn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},On.unmodified.get=function(){return this._unmodified},Pn.prototype.zoomScale=function(t){return Math.pow(2,t)},Pn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Pn.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)},Pn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},On.point.get=function(){return this.project(this.center)},Pn.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())},Pn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Pn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Pn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Pn.prototype.coordinateLocation=function(t){return t.toLngLat()},Pn.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,u=n[1]/a,c=r[2]/i,f=n[2]/a,h=c===f?0:(0-c)/(f-c);return new t.MercatorCoordinate(t.number(o,s,h)/this.worldSize,t.number(l,u,h)/this.worldSize)},Pn.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])},Pn.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)))},Pn.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},Pn.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])},Pn.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]},Pn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Pn.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,u=this.size,c=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<u.y?u.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<u.x?u.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=c,void(this._constraining=!1);if(this.latRange){var v=p.y,g=u.y/2;v-g<a&&(i=a+g),v+g>o&&(i=o-g)}if(this.lngRange){var y=p.x,m=u.x/2;y-m<s&&(n=s+m),y+m>l&&(n=l-m)}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=c,this._constraining=!1}},Pn.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,u=1.01*(Math.cos(Math.PI/2-this._pitch)*a+this.cameraToCenterDistance),c=this.height/50,f=new Float64Array(16);t.perspective(f,this._fov,this.width/this.height,c,u),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),v=Math.sin(this.angle),g=s-Math.round(s)+d*h+v*p,y=l-Math.round(l)+d*p+v*h,m=new Float64Array(f);if(t.translate(m,m,[g>.5?g-1:g,y>.5?y-1:y,0]),this.alignedProjMatrix=m,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={}}},Pn.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},Pn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Pn.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 u=l[s];n=Math.min(n,u.x),i=Math.min(i,u.y),a=Math.max(a,u.x),o=Math.max(o,u.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(Pn.prototype,On);var In=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})};In.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},In.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},In.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(),u=this._map.getPitch(),c=\"\";if(c+=e?\"/\"+o+\"/\"+s+\"/\"+n:n+\"/\"+s+\"/\"+o,(l||u)&&(c+=\"/\"+Math.round(10*l)/10),u&&(c+=\"/\"+Math.round(u)),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+\"=\"+c):t})).filter((function(t){return t}));return h||p.push(f+\"=\"+c),\"#\"+p.join(\"&\")}return\"#\"+c},In.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(\"/\")},In.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},In.prototype._updateHashUnthrottled=function(){var e=t.window.location.href.replace(/(#.+)?$/,this.getHashString());try{t.window.history.replaceState(t.window.history.state,null,e)}catch(t){}};var zn={linearity:.3,easing:t.bezier(0,0,.3,1)},Dn=t.extend({deceleration:2500,maxSpeed:1400},zn),Rn=t.extend({deceleration:20,maxSpeed:1400},zn),Fn=t.extend({deceleration:1e3,maxSpeed:360},zn),Bn=t.extend({deceleration:1e3,maxSpeed:90},zn),Nn=function(t){this._map=t,this.clear()};function jn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Un(e,r,n){var i=n.maxSpeed,a=n.linearity,o=n.deceleration,s=t.clamp(e*a/(r/1e3),-i,i),l=Math.abs(s)/(o*a);return{easing:n.easing,duration:1e3*l,amount:s*(l/2)}}Nn.prototype.clear=function(){this._inertiaBuffer=[]},Nn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},Nn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},Nn.prototype._onMoveEnd=function(e){if(this._drainInertiaBuffer(),!(this._inertiaBuffer.length<2)){for(var r={zoom:0,bearing:0,pitch:0,pan:new t.Point(0,0),pinchAround:void 0,around:void 0},n=0,i=this._inertiaBuffer;n<i.length;n+=1){var a=i[n].settings;r.zoom+=a.zoomDelta||0,r.bearing+=a.bearingDelta||0,r.pitch+=a.pitchDelta||0,a.panDelta&&r.pan._add(a.panDelta),a.around&&(r.around=a.around),a.pinchAround&&(r.pinchAround=a.pinchAround)}var o=this._inertiaBuffer[this._inertiaBuffer.length-1].time-this._inertiaBuffer[0].time,s={};if(r.pan.mag()){var l=Un(r.pan.mag(),o,t.extend({},Dn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,jn(s,l)}if(r.zoom){var u=Un(r.zoom,o,Rn);s.zoom=this._map.transform.zoom+u.amount,jn(s,u)}if(r.bearing){var c=Un(r.bearing,o,Fn);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),jn(s,c)}if(r.pitch){var f=Un(r.pitch,o,Bn);s.pitch=this._map.transform.pitch+f.amount,jn(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 Vn=function(e){function n(n,i,a,o){void 0===o&&(o={});var s=r.mousePos(i.getCanvasContainer(),a),l=i.unproject(s);e.call(this,n,t.extend({point:s,lngLat:l,originalEvent:a},o)),this._defaultPrevented=!1,this.target=i}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),qn=function(e){function n(n,i,a){var o=\"touchend\"===n?a.changedTouches:a.touches,s=r.touchPos(i.getCanvasContainer(),o),l=s.map((function(t){return i.unproject(t)})),u=s.reduce((function(t,e,r,n){return t.add(e.div(n.length))}),new t.Point(0,0)),c=i.unproject(u);e.call(this,n,{points:s,point:u,lngLats:l,lngLat:c,originalEvent:a}),this._defaultPrevented=!1}e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n;var i={defaultPrevented:{configurable:!0}};return n.prototype.preventDefault=function(){this._defaultPrevented=!0},i.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(n.prototype,i),n}(t.Event),Hn=function(t){function e(e,r,n){t.call(this,e,{originalEvent:n}),this._defaultPrevented=!1}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={defaultPrevented:{configurable:!0}};return e.prototype.preventDefault=function(){this._defaultPrevented=!0},r.defaultPrevented.get=function(){return this._defaultPrevented},Object.defineProperties(e.prototype,r),e}(t.Event),Gn=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Gn.prototype.reset=function(){delete this._mousedownPos},Gn.prototype.wheel=function(t){return this._firePreventable(new Hn(t.type,this._map,t))},Gn.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseup=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.dblclick=function(t){return this._firePreventable(new Vn(t.type,this._map,t))},Gn.prototype.mouseover=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.mouseout=function(t){this._map.fire(new Vn(t.type,this._map,t))},Gn.prototype.touchstart=function(t){return this._firePreventable(new qn(t.type,this._map,t))},Gn.prototype.touchmove=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchend=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype.touchcancel=function(t){this._map.fire(new qn(t.type,this._map,t))},Gn.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Gn.prototype.isEnabled=function(){return!0},Gn.prototype.isActive=function(){return!1},Gn.prototype.enable=function(){},Gn.prototype.disable=function(){};var Wn=function(t){this._map=t};Wn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Wn.prototype.mousemove=function(t){this._map.fire(new Vn(t.type,this._map,t))},Wn.prototype.mousedown=function(){this._delayContextMenu=!0},Wn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Vn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Wn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Vn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Wn.prototype.isEnabled=function(){return!0},Wn.prototype.isActive=function(){return!1},Wn.prototype.enable=function(){},Wn.prototype.disable=function(){};var Yn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function Xn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Yn.prototype.isEnabled=function(){return!!this._enabled},Yn.prototype.isActive=function(){return!!this._active},Yn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Yn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Yn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Yn.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\"}}},Yn.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)}},Yn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Yn.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},Yn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Zn=function(t){this.reset(),this.numTouches=t.numTouches};Zn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Zn.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=Xn(n,r)))},Zn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=Xn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Zn.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 Kn=function(t){this.singleTap=new Zn(t),this.numTaps=t.numTaps,this.reset()};Kn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Kn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Kn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Kn.prototype.touchend=function(t,e,r){var n=this.singleTap.touchend(t,e,r);if(n){var i=t.timeStamp-this.lastTime<500,a=!this.lastTap||this.lastTap.dist(n)<30;if(i&&a||this.reset(),this.count++,this.lastTime=t.timeStamp,this.lastTap=n,this.count===this.numTaps)return this.reset(),n}};var Jn=function(){this._zoomIn=new Kn({numTouches:1,numTaps:2}),this._zoomOut=new Kn({numTouches:2,numTaps:1}),this.reset()};Jn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Jn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Jn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Jn.prototype.touchend=function(t,e,r){var n=this,i=this._zoomIn.touchend(t,e,r),a=this._zoomOut.touchend(t,e,r);return i?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()+1,around:e.unproject(i)},{originalEvent:t})}}):a?(this._active=!0,t.preventDefault(),setTimeout((function(){return n.reset()}),0),{cameraAnimation:function(e){return e.easeTo({duration:300,zoom:e.getZoom()-1,around:e.unproject(a)},{originalEvent:t})}}):void 0},Jn.prototype.touchcancel=function(){this.reset()},Jn.prototype.enable=function(){this._enabled=!0},Jn.prototype.disable=function(){this._enabled=!1,this.reset()},Jn.prototype.isEnabled=function(){return this._enabled},Jn.prototype.isActive=function(){return this._active};var $n={};$n[0]=1,$n[2]=2;var Qn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Qn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Qn.prototype._correctButton=function(t,e){return!1},Qn.prototype._move=function(t,e){return{}},Qn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Qn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r)if(t.preventDefault(),function(t,e){var r=$n[e];return void 0===t.buttons||(t.buttons&r)!==r}(t,this._eventButton))this.reset();else if(this._moved||!(e.dist(r)<this._clickTolerance))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Qn.prototype.mouseupWindow=function(t){this._lastPoint&&r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Qn.prototype.enable=function(){this._enabled=!0},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};var ti=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.mousedown=function(e,r){t.prototype.mousedown.call(this,e,r),this._lastPoint&&(this._active=!0)},e.prototype._correctButton=function(t,e){return 0===e&&!t.ctrlKey},e.prototype._move=function(t,e){return{around:e,panDelta:e.sub(t)}},e}(Qn),ei=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=.8*(e.x-t.x);if(r)return this._active=!0,{bearingDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._correctButton=function(t,e){return 0===e&&t.ctrlKey||2===e},e.prototype._move=function(t,e){var r=-.5*(e.y-t.y);if(r)return this._active=!0,{pitchDelta:r}},e.prototype.contextmenu=function(t){t.preventDefault()},e}(Qn),ni=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};ni.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},ni.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},ni.prototype.touchmove=function(t,e,r){if(this._active&&!(r.length<this._minTouches))return t.preventDefault(),this._calculateTransform(t,e,r)},ni.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},ni.prototype.touchcancel=function(){this.reset()},ni.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=Xn(n,r),a=new t.Point(0,0),o=new t.Point(0,0),s=0;for(var l in i){var u=i[l],c=this._touches[l];c&&(a._add(u),o._add(u.sub(c)),s++,i[l]=u)}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}}},ni.prototype.enable=function(){this._enabled=!0},ni.prototype.disable=function(){this._enabled=!1,this.reset()},ni.prototype.isEnabled=function(){return this._enabled},ni.prototype.isActive=function(){return this._active};var ii=function(){this.reset()};function ai(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}ii.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},ii.prototype._start=function(t){},ii.prototype._move=function(t,e,r){return{}},ii.prototype.touchstart=function(t,e,r){this._firstTwoTouches||r.length<2||(this._firstTwoTouches=[r[0].identifier,r[1].identifier],this._start([e[0],e[1]]))},ii.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ai(r,e,i),s=ai(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},ii.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ai(n,e,a),l=ai(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},ii.prototype.touchcancel=function(){this.reset()},ii.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},ii.prototype.disable=function(){this._enabled=!1,this.reset()},ii.prototype.isEnabled=function(){return this._enabled},ii.prototype.isActive=function(){return this._active};function oi(t,e){return Math.log(t/e)/Math.LN2}var si=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._distance,delete this._startDistance},e.prototype._start=function(t){this._startDistance=this._distance=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._distance;if(this._distance=t[0].dist(t[1]),this._active||!(Math.abs(oi(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:oi(this._distance,r),pinchAround:e}},e}(ii);function li(t,e){return 180*t.angleWith(e)/Math.PI}var 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.reset=function(){t.prototype.reset.call(this),delete this._minDiameter,delete this._startVector,delete this._vector},e.prototype._start=function(t){this._startVector=this._vector=t[0].sub(t[1]),this._minDiameter=t[0].dist(t[1])},e.prototype._move=function(t,e){var r=this._vector;if(this._vector=t[0].sub(t[1]),this._active||!this._isBelowThreshold(this._vector))return this._active=!0,{bearingDelta:li(this._vector,r),pinchAround:e}},e.prototype._isBelowThreshold=function(t){this._minDiameter=Math.min(this._minDiameter,t.mag());var e=25/(Math.PI*this._minDiameter)*360,r=li(t,this._startVector);return Math.abs(r)<e},e}(ii);function ci(t){return Math.abs(t.y)>Math.abs(t.x)}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.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,ci(t[0].sub(t[1]))&&(this._valid=!1)},e.prototype._move=function(t,e,r){var n=t[0].sub(this._lastPoints[0]),i=t[1].sub(this._lastPoints[1]);if(this._valid=this.gestureBeginsVertically(n,i,r.timeStamp),this._valid)return this._lastPoints=t,this._active=!0,{pitchDelta:(n.y+i.y)/2*-.5}},e.prototype.gestureBeginsVertically=function(t,e,r){if(void 0!==this._valid)return this._valid;var n=t.mag()>=2,i=e.mag()>=2;if(n||i){if(!n||!i)return void 0===this._firstMove&&(this._firstMove=r),r-this._firstMove<100&&void 0;var a=t.y>0==e.y>0;return ci(t)&&ci(e)&&a}},e}(ii),hi={panStep:100,bearingStep:15,pitchStep:10},pi=function(){var t=hi;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep,this._rotationDisabled=!1};function di(t){return t*(2-t)}pi.prototype.reset=function(){this._active=!1},pi.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return this._rotationDisabled&&(n=0,i=0),{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:di,zoom:r?Math.round(l)+r*(t.shiftKey?2:1):l,bearing:s.getBearing()+n*e._bearingStep,pitch:s.getPitch()+i*e._pitchStep,offset:[-a*e._panStep,-o*e._panStep],center:s.getCenter()},{originalEvent:t})}}}},pi.prototype.enable=function(){this._enabled=!0},pi.prototype.disable=function(){this._enabled=!1,this.reset()},pi.prototype.isEnabled=function(){return this._enabled},pi.prototype.isActive=function(){return this._active},pi.prototype.disableRotation=function(){this._rotationDisabled=!0},pi.prototype.enableRotation=function(){this._rotationDisabled=!1};var vi=4.000244140625,gi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onTimeout\"],this)};gi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},gi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},gi.prototype.isEnabled=function(){return!!this._enabled},gi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},gi.prototype.isZooming=function(){return!!this._zooming},gi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},gi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},gi.prototype.wheel=function(e){if(this.isEnabled()){var r=e.deltaMode===t.window.WheelEvent.DOM_DELTA_LINE?40*e.deltaY:e.deltaY,n=t.browser.now(),i=n-(this._lastWheelEventTime||0);this._lastWheelEventTime=n,0!==r&&r%vi==0?this._type=\"wheel\":0!==r&&Math.abs(r)<4?this._type=\"trackpad\":i>400?(this._type=null,this._lastValue=r,this._timeout=setTimeout(this._onTimeout,40,e)):this._type||(this._type=Math.abs(i*r)<200?\"trackpad\":\"wheel\",this._timeout&&(clearTimeout(this._timeout),this._timeout=null,r+=this._lastValue)),e.shiftKey&&r&&(r/=4),this._type&&(this._lastWheelEvent=e,this._delta-=r,this._active||this._start(e)),e.preventDefault()}},gi.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},gi.prototype._start=function(e){if(this._delta){this._frameId&&(this._frameId=null),this._active=!0,this.isZooming()||(this._zooming=!0),this._finishTimeout&&(clearTimeout(this._finishTimeout),delete this._finishTimeout);var n=r.mousePos(this._el,e);this._around=t.LngLat.convert(this._aroundCenter?this._map.getCenter():this._map.unproject(n)),this._aroundPoint=this._map.transform.locationPoint(this._around),this._frameId||(this._frameId=!0,this._handler._triggerRenderFrame())}},gi.prototype.renderFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>vi?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,u=this._easing,c=!1;if(\"wheel\"===this._type&&l&&u){var f=Math.min((t.browser.now()-this._lastWheelEventTime)/200,1),h=u(f);o=t.number(l,s,h),f<1?this._frameId||(this._frameId=!0):c=!0}else o=s,c=!0;return this._active=!0,c&&(this._active=!1,this._finishTimeout=setTimeout((function(){e._zooming=!1,e._handler._triggerRenderFrame(),delete e._targetZoom,delete e._finishTimeout}),200)),{noInertia:!0,needsRenderFrame:!c,zoomDelta:o-r.zoom,around:this._aroundPoint,originalEvent:this._lastWheelEvent}}},gi.prototype._smoothOutEasing=function(e){var r=t.ease;if(this._prevEase){var n=this._prevEase,i=(t.browser.now()-n.start)/n.duration,a=n.easing(i+.01)-n.easing(i),o=.27/Math.sqrt(a*a+1e-4)*.01,s=Math.sqrt(.0729-o*o);r=t.bezier(o,s,.25,1)}return this._prevEase={start:t.browser.now(),duration:e,easing:r},r},gi.prototype.reset=function(){this._active=!1};var yi=function(t,e){this._clickZoom=t,this._tapZoom=e};yi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},yi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},yi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},yi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var mi=function(){this.reset()};mi.prototype.reset=function(){this._active=!1},mi.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})}}},mi.prototype.enable=function(){this._enabled=!0},mi.prototype.disable=function(){this._enabled=!1,this.reset()},mi.prototype.isEnabled=function(){return this._enabled},mi.prototype.isActive=function(){return this._active};var xi=function(){this._tap=new Kn({numTouches:1,numTaps:1}),this.reset()};xi.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},xi.prototype.touchstart=function(t,e,r){this._swipePoint||(this._tapTime&&t.timeStamp-this._tapTime>500&&this.reset(),this._tapTime?r.length>0&&(this._swipePoint=e[0],this._swipeTouch=r[0].identifier):this._tap.touchstart(t,e,r))},xi.prototype.touchmove=function(t,e,r){if(this._tapTime){if(this._swipePoint){if(r[0].identifier!==this._swipeTouch)return;var n=e[0],i=n.y-this._swipePoint.y;return this._swipePoint=n,t.preventDefault(),this._active=!0,{zoomDelta:i/128}}}else this._tap.touchmove(t,e,r)},xi.prototype.touchend=function(t,e,r){this._tapTime?this._swipePoint&&0===r.length&&this.reset():this._tap.touchend(t,e,r)&&(this._tapTime=t.timeStamp)},xi.prototype.touchcancel=function(){this.reset()},xi.prototype.enable=function(){this._enabled=!0},xi.prototype.disable=function(){this._enabled=!1,this.reset()},xi.prototype.isEnabled=function(){return this._enabled},xi.prototype.isActive=function(){return this._active};var bi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};bi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},bi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},bi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},bi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var _i=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};_i.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},_i.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},_i.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},_i.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var wi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};wi.prototype.enable=function(t){this._touchZoom.enable(t),this._rotationDisabled||this._touchRotate.enable(t),this._tapDragZoom.enable(),this._el.classList.add(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},wi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},wi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},wi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},wi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var Ti=function(t){return t.zoom||t.drag||t.pitch||t.rotate},ki=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function Ai(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var Mi=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new Nn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!0}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};Mi.prototype.destroy=function(){for(var e=0,n=this._listeners;e<n.length;e+=1){var i=n[e],a=i[0],o=i[1],s=i[2];r.removeEventListener(a,o,a===t.window.document?this.handleWindowEvent:this.handleEvent,s)}},Mi.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Gn(e,t));var n=e.boxZoom=new Yn(e,t);this._add(\"boxZoom\",n);var i=new Jn,a=new mi;e.doubleClickZoom=new yi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new xi;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new fi;this._add(\"touchPitch\",s);var l=new ei(t),u=new ri(t);e.dragRotate=new _i(t,l,u),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",u,[\"mouseRotate\"]);var c=new ti(t),f=new ni(t);e.dragPan=new bi(r,c,f),this._add(\"mousePan\",c),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ui,p=new si;e.touchZoomRotate=new wi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new gi(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var v=e.keyboard=new pi;this._add(\"keyboard\",v),this._add(\"blockableMapEvent\",new Wn(e));for(var g=0,y=[\"boxZoom\",\"doubleClickZoom\",\"tapDragZoom\",\"touchPitch\",\"dragRotate\",\"dragPan\",\"touchZoomRotate\",\"scrollZoom\",\"keyboard\"];g<y.length;g+=1){var m=y[g];t.interactive&&t[m]&&e[m].enable(t[m])}},Mi.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},Mi.prototype.stop=function(t){if(!this._updatingCamera){for(var e=0,r=this._handlers;e<r.length;e+=1)r[e].handler.reset();this._inertia.clear(),this._fireEvents({},{},t),this._changes=[]}},Mi.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},Mi.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},Mi.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},Mi.prototype.isMoving=function(){return Boolean(Ti(this._eventsInProgress))||this.isZooming()},Mi.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},Mi.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},Mi.prototype._getMapTouches=function(t){for(var e=[],r=0,n=t;r<n.length;r+=1){var i=n[r],a=i.target;this._el.contains(a)&&e.push(i)}return e},Mi.prototype.handleEvent=function(t,e){if(\"blur\"!==t.type){this._updatingCamera=!0;for(var n=\"renderFrame\"===t.type?void 0:t,i={needsRenderFrame:!1},a={},o={},s=t.touches?this._getMapTouches(t.touches):void 0,l=s?r.touchPos(this._el,s):r.mousePos(this._el,t),u=0,c=this._handlers;u<c.length;u+=1){var f=c[u],h=f.handlerName,p=f.handler,d=f.allowed;if(p.isEnabled()){var v=void 0;this._blockedByActive(o,d,h)?p.reset():p[e||t.type]&&(v=p[e||t.type](t,l,s),this.mergeHandlerResult(i,a,v,h,n),v&&v.needsRenderFrame&&this._triggerRenderFrame()),(v||p.isActive())&&(o[h]=p)}}var g={};for(var y in this._previousActiveHandlers)o[y]||(g[y]=n);this._previousActiveHandlers=o,(Object.keys(g).length||Ai(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||Ai(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{},!0),this._changes=[],m(this._map))}else this.stop(!0)},Mi.prototype.mergeHandlerResult=function(e,r,n,i,a){if(n){t.extend(e,n);var o={handlerName:i,originalEvent:n.originalEvent||a};void 0!==n.zoomDelta&&(r.zoom=o),void 0!==n.panDelta&&(r.drag=o),void 0!==n.pitchDelta&&(r.pitch=o),void 0!==n.bearingDelta&&(r.rotate=o)}},Mi.prototype._applyChanges=function(){for(var e={},r={},n={},i=0,a=this._changes;i<a.length;i+=1){var o=a[i],s=o[0],l=o[1],u=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,u)}this._updateMapTransform(e,r,n),this._changes=[]},Mi.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!Ai(t))return this._fireEvents(e,r,!0);var a=t.panDelta,o=t.zoomDelta,s=t.bearingDelta,l=t.pitchDelta,u=t.around,c=t.pinchAround;void 0!==c&&(u=c),n._stop(!0),u=u||n.transform.centerPoint;var f=i.pointLocation(a?u.sub(a):u);s&&(i.bearing+=s),l&&(i.pitch+=l),o&&(i.zoom+=o),i.setLocationAtPoint(f,u),this._map._update(),t.noInertia||this._inertia.record(t),this._fireEvents(e,r,!0)},Mi.prototype._fireEvents=function(e,r,n){var i=this,a=Ti(this._eventsInProgress),o=Ti(e),s={};for(var l in e){var u=e[l].originalEvent;this._eventsInProgress[l]||(s[l+\"start\"]=u),this._eventsInProgress[l]=e[l]}for(var c in!a&&o&&this._fireEvent(\"movestart\",o.originalEvent),s)this._fireEvent(c,s[c]);for(var f in o&&this._fireEvent(\"move\",o.originalEvent),e){var h=e[f].originalEvent;this._fireEvent(f,h)}var p,d={};for(var v in this._eventsInProgress){var g=this._eventsInProgress[v],y=g.handlerName,m=g.originalEvent;this._handlersById[y].isActive()||(delete this._eventsInProgress[v],p=r[y]||m,d[v+\"end\"]=p)}for(var x in d)this._fireEvent(x,d[x]);var b=Ti(this._eventsInProgress);if(n&&(a||o)&&!b){this._updatingCamera=!0;var _=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),w=function(t){return 0!==t&&-i._bearingSnap<t&&t<i._bearingSnap};_?(w(_.bearing||this._map.getBearing())&&(_.bearing=0),this._map.easeTo(_,{originalEvent:p})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:p})),w(this._map.getBearing())&&this._map.resetNorth()),this._updatingCamera=!1}},Mi.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},Mi.prototype._requestFrame=function(){var t=this;return this._map.triggerRepaint(),this._map._renderTaskQueue.add((function(e){delete t._frameId,t.handleEvent(new ki(\"renderFrame\",{timeStamp:e})),t._applyChanges()}))},Mi.prototype._triggerRenderFrame=function(){void 0===this._frameId&&(this._frameId=this._requestFrame())};var Si=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){e=t.LngLatBounds.convert(e);var n=r&&r.bearing||0;return this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),n,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,u=s.project(t.LngLat.convert(e)),c=s.project(t.LngLat.convert(r)),f=u.rotate(-n*Math.PI/180),h=c.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)),v=p.sub(d),g=(s.width-(l.left+l.right+i.padding.left+i.padding.right))/v.x,y=(s.height-(l.top+l.bottom+i.padding.top+i.padding.bottom))/v.y;if(!(y<0||g<0)){var m=Math.min(s.scaleZoom(s.scale*Math.min(g,y)),i.maxZoom),x=\"number\"==typeof i.offset.x?new t.Point(i.offset.x,i.offset.y):t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(b,_).rotate(n*Math.PI/180),T=x.add(w).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(T)),zoom:m,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(),u=\"zoom\"in e?+e.zoom:a,c=\"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),v=i.pointLocation(d),g=t.LngLat.convert(e.center||v);this._normalizeCenter(g);var y,m,x=i.project(v),b=i.project(g).sub(x),_=i.zoomScale(u-a);e.around&&(y=t.LngLat.convert(e.around),m=i.locationPoint(y));var w={moving:this._moving,zooming:this._zooming,rotating:this._rotating,pitching:this._pitching};return this._zooming=this._zooming||u!==a,this._rotating=this._rotating||o!==c,this._pitching=this._pitching||f!==s,this._padding=!i.isPaddingEqual(h),this._easeId=e.easeId,this._prepareEase(r,e.noMoveStart,w),this._ease((function(e){if(n._zooming&&(i.zoom=t.number(a,u,e)),n._rotating&&(i.bearing=t.number(o,c,e)),n._pitching&&(i.pitch=t.number(s,f,e)),n._padding&&(i.interpolatePadding(l,h,e),d=i.centerPoint.add(p)),y)i.setLocationAtPoint(y,m);else{var v=i.zoomScale(i.zoom-a),g=u>a?Math.min(2,_):Math.max(.5,_),w=Math.pow(g,1-e),T=i.unproject(x.add(b.mult(e*w)).mult(v));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(),u=this.getPadding(),c=\"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(c-o),v=t.Point.convert(e.offset),g=a.centerPoint.add(v),y=a.pointLocation(g),m=t.LngLat.convert(e.center||y);this._normalizeCenter(m);var x=a.project(y),b=a.project(m).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,c),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),O=function(t){return C(P)/C(P+_*t)},I=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))/_,I=function(){return 0},O=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/O(i);a.zoom=1===e?c: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(u,p,e),g=a.centerPoint.add(v));var y=1===e?m:a.unproject(x.add(b.mult(I(i))).mult(d));a.setLocationAtPoint(a.renderWorldCopies?y.wrap():y,g),n._fireMoveEvents(r)}),(function(){return n._afterEase(r)}),e),this},r.prototype.isEasing=function(){return!!this._easeFrameId},r.prototype.stop=function(){return this._stop()},r.prototype._stop=function(t,e){if(this._easeFrameId&&(this._cancelRenderFrame(this._easeFrameId),delete this._easeFrameId,delete this._onEaseFrame),this._onEaseEnd){var r=this._onEaseEnd;delete this._onEaseEnd,r.call(this,e)}if(!t){var n=this.handlers;n&&n.stop(!1)}return this},r.prototype._ease=function(e,r,n){!1===n.animate||0===n.duration?(e(1),r()):(this._easeStart=t.browser.now(),this._easeOptions=n,this._onEaseFrame=e,this._onEaseEnd=r,this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback))},r.prototype._renderFrameCallback=function(){var e=Math.min((t.browser.now()-this._easeStart)/this._easeOptions.duration,1);this._onEaseFrame(this._easeOptions.easing(e)),e<1?this._easeFrameId=this._requestRenderFrame(this._renderFrameCallback):this.stop()},r.prototype._normalizeBearing=function(e,r){e=t.wrap(e,-180,180);var n=Math.abs(e-r);return Math.abs(e-360-r)<n&&(e-=360),Math.abs(e+360-r)<n&&(e+=360),e},r.prototype._normalizeCenter=function(t){var e=this.transform;if(e.renderWorldCopies&&!e.lngRange){var r=t.lng-e.center.lng;t.lng+=r>180?-360:r<-180?360:0}},r}(t.Evented),Ei=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_toggleAttribution\",\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Ei.prototype.getDefaultPosition=function(){return\"bottom-right\"},Ei.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._compactButton=r.create(\"button\",\"mapboxgl-ctrl-attrib-button\",this._container),this._compactButton.addEventListener(\"click\",this._toggleAttribution),this._setElementTitle(this._compactButton,\"ToggleAttribution\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),this._innerContainer.setAttribute(\"role\",\"list\"),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Ei.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"styledata\",this._updateData),this._map.off(\"sourcedata\",this._updateData),this._map.off(\"moveend\",this._updateEditLink),this._map.off(\"resize\",this._updateCompact),this._map=void 0,this._attribHTML=void 0},Ei.prototype._setElementTitle=function(t,e){var r=this._map._getUIString(\"AttributionControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)},Ei.prototype._toggleAttribution=function(){this._container.classList.contains(\"mapboxgl-compact-show\")?(this._container.classList.remove(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"false\")):(this._container.classList.add(\"mapboxgl-compact-show\"),this._compactButton.setAttribute(\"aria-pressed\",\"true\"))},Ei.prototype._updateEditLink=function(){var e=this._editLink;e||(e=this._editLink=this._container.querySelector(\".mapbox-improve-map\"));var r=[{key:\"owner\",value:this.styleOwner},{key:\"id\",value:this.styleId},{key:\"access_token\",value:this._map._requestManager._customAccessToken||t.config.ACCESS_TOKEN}];if(e){var n=r.reduce((function(t,e,n){return e.value&&(t+=e.key+\"=\"+e.value+(n<r.length-1?\"&\":\"\")),t}),\"?\");e.href=t.config.FEEDBACK_URL+\"/\"+n+(this._map._hash?this._map._hash.getHashString(!0):\"\"),e.rel=\"noopener nofollow\",this._setElementTitle(e,\"MapFeedback\")}},Ei.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"visibility\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ei.prototype._updateAttributions=function(){if(this._map.style){var t=[];if(this.options.customAttribution&&(Array.isArray(this.options.customAttribution)?t=t.concat(this.options.customAttribution.map((function(t){return\"string\"!=typeof t?\"\":t}))):\"string\"==typeof this.options.customAttribution&&t.push(this.options.customAttribution)),this._map.style.stylesheet){var e=this._map.style.stylesheet;this.styleOwner=e.owner,this.styleId=e.id}var r=this._map.style.sourceCaches;for(var n in r){var i=r[n];if(i.used){var a=i.getSource();a.attribution&&t.indexOf(a.attribution)<0&&t.push(a.attribution)}}t.sort((function(t,e){return t.length-e.length}));var o=(t=t.filter((function(e,r){for(var n=r+1;n<t.length;n++)if(t[n].indexOf(e)>=0)return!1;return!0}))).join(\" | \");o!==this._attribHTML&&(this._attribHTML=o,t.length?(this._innerContainer.innerHTML=o,this._container.classList.remove(\"mapboxgl-attrib-empty\")):this._container.classList.add(\"mapboxgl-attrib-empty\"),this._editLink=null)}},Ei.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\",\"mapboxgl-compact-show\")};var Li=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};Li.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},Li.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},Li.prototype.getDefaultPosition=function(){return\"bottom-left\"},Li.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},Li.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}},Li.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 Ci=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ci.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ci.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)}},Ci.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},Ci.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Pi={\"AttributionControl.ToggleAttribution\":\"Toggle attribution\",\"AttributionControl.MapFeedback\":\"Map feedback\",\"FullscreenControl.Enter\":\"Enter fullscreen\",\"FullscreenControl.Exit\":\"Exit fullscreen\",\"GeolocateControl.FindMyLocation\":\"Find my location\",\"GeolocateControl.LocationNotAvailable\":\"Location not available\",\"LogoControl.Title\":\"Mapbox logo\",\"NavigationControl.ResetBearing\":\"Reset bearing to north\",\"NavigationControl.ZoomIn\":\"Zoom in\",\"NavigationControl.ZoomOut\":\"Zoom out\",\"ScaleControl.Feet\":\"ft\",\"ScaleControl.Meters\":\"m\",\"ScaleControl.Kilometers\":\"km\",\"ScaleControl.Miles\":\"mi\",\"ScaleControl.NauticalMiles\":\"nm\"},Oi=t.window.HTMLImageElement,Ii=t.window.HTMLElement,zi=t.window.ImageBitmap,Di=60,Ri={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Di,interactive:!0,scrollZoom:!0,boxZoom:!0,dragRotate:!0,dragPan:!0,keyboard:!0,doubleClickZoom:!0,touchZoomRotate:!0,touchPitch:!0,bearingSnap:7,clickTolerance:3,pitchWithRotate:!0,hash:!1,attributionControl:!0,failIfMajorPerformanceCaveat:!1,preserveDrawingBuffer:!1,trackResize:!0,renderWorldCopies:!0,refreshExpiredTiles:!0,maxTileCacheSize:null,localIdeographFontFamily:\"sans-serif\",transformRequest:null,accessToken:null,fadeDuration:300,crossSourceCollisions:!0},Fi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Ri,e)).minZoom&&null!=e.maxZoom&&e.minZoom>e.maxZoom)throw new Error(\"maxZoom must be greater than or equal to minZoom\");if(null!=e.minPitch&&null!=e.maxPitch&&e.minPitch>e.maxPitch)throw new Error(\"maxPitch must be greater than or equal to minPitch\");if(null!=e.minPitch&&e.minPitch<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(null!=e.maxPitch&&e.maxPitch>Di)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new Pn(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 Ci,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Pi,e.locale),this._clickTolerance=e.clickTolerance,this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ii))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_onMapScroll\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1),t.window.addEventListener(\"orientationchange\",this._onWindowResize,!1)),this.handlers=new Mi(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new In(a).addTo(this),this._hash&&this._hash._onHashChange()||(this.jumpTo({center:e.center,zoom:e.zoom,bearing:e.bearing,pitch:e.pitch}),e.bounds&&(this.resize(),this.fitBounds(e.bounds,t.extend({},e.fitBoundsOptions,{duration:0})))),this.resize(),this._localIdeographFontFamily=e.localIdeographFontFamily,e.style&&this.setStyle(e.style,{localIdeographFontFamily:e.localIdeographFontFamily}),e.attributionControl&&this.addControl(new Ei({customAttribution:e.customAttribution})),this.addControl(new Li,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&(r=e.getDefaultPosition?e.getDefaultPosition():\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.hasControl=function(t){return this._controls.indexOf(t)>-1},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?Di:t)>Di)throw new Error(\"maxPitch must be less than or equal to 60\");if(t>=this.transform.minPitch)return this.transform.maxPitch=t,this._update(),this.getPitch()>t&&this.setPitch(t),this;throw new Error(\"maxPitch must be greater than the current minPitch\")},i.prototype.getMaxPitch=function(){return this.transform.maxPitch},i.prototype.getRenderWorldCopies=function(){return this.transform.renderWorldCopies},i.prototype.setRenderWorldCopies=function(t){return this.transform.renderWorldCopies=t,this._update()},i.prototype.project=function(e){return this.transform.locationPoint(t.LngLat.convert(e))},i.prototype.unproject=function(e){return this.transform.pointLocation(t.Point.convert(e))},i.prototype.isMoving=function(){return this._moving||this.handlers.isMoving()},i.prototype.isZooming=function(){return this._zooming||this.handlers.isZooming()},i.prototype.isRotating=function(){return this._rotating||this.handlers.isRotating()},i.prototype._createDelegatedListener=function(t,e,r){var n,i=this;if(\"mouseenter\"===t||\"mouseover\"===t){var a=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){var o=i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[];o.length?a||(a=!0,r.call(i,new Vn(t,i,n.originalEvent,{features:o}))):a=!1},mouseout:function(){a=!1}}}}if(\"mouseleave\"===t||\"mouseout\"===t){var o=!1;return{layer:e,listener:r,delegates:{mousemove:function(n){(i.getLayer(e)?i.queryRenderedFeatures(n.point,{layers:[e]}):[]).length?o=!0:o&&(o=!1,r.call(i,new Vn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Vn(t,i,e.originalEvent)))}}}}return{layer:e,listener:r,delegates:(n={},n[t]=function(t){var n=i.getLayer(e)?i.queryRenderedFeatures(t.point,{layers:[e]}):[];n.length&&(t.features=n,r.call(i,t),delete t.features)},n)}},i.prototype.on=function(t,e,r){if(void 0===r)return n.prototype.on.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in this._delegatedListeners=this._delegatedListeners||{},this._delegatedListeners[t]=this._delegatedListeners[t]||[],this._delegatedListeners[t].push(i),i.delegates)this.on(a,i.delegates[a]);return this},i.prototype.once=function(t,e,r){if(void 0===r)return n.prototype.once.call(this,t,e);var i=this._createDelegatedListener(t,e,r);for(var a in i.delegates)this.once(a,i.delegates[a]);return this},i.prototype.off=function(t,e,r){var i=this;if(void 0===r)return n.prototype.off.call(this,t,e);return this._delegatedListeners&&this._delegatedListeners[t]&&function(n){for(var a=n[t],o=0;o<a.length;o++){var s=a[o];if(s.layer===e&&s.listener===r){for(var l in s.delegates)i.off(l,s.delegates[l]);return a.splice(o,1),i}}}(this._delegatedListeners),this},i.prototype.queryRenderedFeatures=function(e,r){if(!this.style)return[];var n;if(void 0!==r||void 0===e||e instanceof t.Point||Array.isArray(e)||(r=e,e=void 0),r=r||{},(e=e||[[0,0],[this.transform.width,this.transform.height]])instanceof t.Point||\"number\"==typeof e[0])n=[t.Point.convert(e)];else{var i=t.Point.convert(e[0]),a=t.Point.convert(e[1]);n=[i,new t.Point(a.x,i.y),a,new t.Point(i.x,a.y),i]}return this.style.queryRenderedFeatures(n,r,this.transform)},i.prototype.querySourceFeatures=function(t,e){return this.style.querySourceFeatures(t,e)},i.prototype.setStyle=function(e,r){return!1!==(r=t.extend({},{localIdeographFontFamily:this._localIdeographFontFamily},r)).diff&&r.localIdeographFontFamily===this._localIdeographFontFamily&&this.style&&e?(this._diffStyle(e,r),this):(this._localIdeographFontFamily=r.localIdeographFontFamily,this._updateStyle(e,r))},i.prototype._getUIString=function(t){var e=this._locale[t];if(null==e)throw new Error(\"Missing UI string '\"+t+\"'\");return e},i.prototype._updateStyle=function(t,e){return this.style&&(this.style.setEventedParent(null),this.style._remove()),t?(this.style=new Ye(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 Ye(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 Oi||zi&&r instanceof zi){var u=t.browser.getImageData(r),c=u.width,f=u.height,h=u.data;this.style.addImage(e,{data:new t.RGBAImage({width:c,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,v=r.data,g=r;this.style.addImage(e,{data:new t.RGBAImage({width:p,height:d},new Uint8Array(v)),pixelRatio:i,stretchX:o,stretchY:s,content:l,sdf:a,version:0,userImage:g}),g.onAdd&&g.onAdd(this,e)}},i.prototype.updateImage=function(e,r){var n=this.style.getImage(e);if(!n)return this.fire(new t.ErrorEvent(new Error(\"The map has no image with that id. If you are adding a new image use `map.addImage(...)` instead.\")));var i=r instanceof Oi||zi&&r instanceof zi?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 Oi||zi&&r instanceof zi);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\"),this._canvas.setAttribute(\"role\",\"region\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)})),this._container.addEventListener(\"scroll\",this._onMapScroll,!1)},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new Sn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype._onMapScroll=function(t){if(t.target===this._container)return this._container.scrollTop=0,this._container.scrollLeft=0,!1},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var u=new t.EvaluationParameters(s,{now:l,fadeDuration:this._fadeDuration,zoomHistory:this.style.zoomHistory,transition:this.style.getTransition()}),c=u.crossFadingFactor();1===c&&c===this._crossFadingFactor||(o=!0,this._crossFadingFactor=c),this.style.update(u)}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)}var p=this._sourcesDirty||this._styleDirty||this._placementDirty;return p||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&this.fire(new t.Event(\"idle\")),!this._loaded||this._fullyLoaded||p||(this._fullyLoaded=!0),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"orientationchange\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext&&n.loseContext(),Bi(this._canvasContainer),Bi(this._controlContainer),Bi(this._missingCSSCanary),this._container.classList.remove(\"mapboxgl-map\"),this._removed=!0,this.fire(new t.Event(\"remove\"))},i.prototype.triggerRepaint=function(){var e=this;this.style&&!this._frame&&(this._frame=t.browser.frame((function(t){e._frame=null,e._render(t)})))},i.prototype._onWindowOnline=function(){this._update()},i.prototype._onWindowResize=function(t){this._trackResize&&this.resize({originalEvent:t})._update()},a.showTileBoundaries.get=function(){return!!this._showTileBoundaries},a.showTileBoundaries.set=function(t){this._showTileBoundaries!==t&&(this._showTileBoundaries=t,this._update())},a.showPadding.get=function(){return!!this._showPadding},a.showPadding.set=function(t){this._showPadding!==t&&(this._showPadding=t,this._update())},a.showCollisionBoxes.get=function(){return!!this._showCollisionBoxes},a.showCollisionBoxes.set=function(t){this._showCollisionBoxes!==t&&(this._showCollisionBoxes=t,t?this.style._generateCollisionBoxes():this._update())},a.showOverdrawInspector.get=function(){return!!this._showOverdrawInspector},a.showOverdrawInspector.set=function(t){this._showOverdrawInspector!==t&&(this._showOverdrawInspector=t,this._update())},a.repaint.get=function(){return!!this._repaint},a.repaint.set=function(t){this._repaint!==t&&(this._repaint=t,this.triggerRepaint())},a.vertices.get=function(){return!!this._vertices},a.vertices.set=function(t){this._vertices=t,this._update()},i.prototype._setCacheLimits=function(e,r){t.setCacheLimits(e,r)},a.version.get=function(){return t.version},Object.defineProperties(i.prototype,a),i}(Si);function Bi(t){t.parentNode&&t.parentNode.removeChild(t)}var Ni={showCompass:!0,showZoom:!0,visualizePitch:!1},ji=function(e){var n=this;this.options=t.extend({},Ni,e),this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._container.addEventListener(\"contextmenu\",(function(t){return t.preventDefault()})),this.options.showZoom&&(t.bindAll([\"_setButtonTitle\",\"_updateZoomButtons\"],this),this._zoomInButton=this._createButton(\"mapboxgl-ctrl-zoom-in\",(function(t){return n._map.zoomIn({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomInButton).setAttribute(\"aria-hidden\",!0),this._zoomOutButton=this._createButton(\"mapboxgl-ctrl-zoom-out\",(function(t){return n._map.zoomOut({},{originalEvent:t})})),r.create(\"span\",\"mapboxgl-ctrl-icon\",this._zoomOutButton).setAttribute(\"aria-hidden\",!0)),this.options.showCompass&&(t.bindAll([\"_rotateCompassArrow\"],this),this._compass=this._createButton(\"mapboxgl-ctrl-compass\",(function(t){n.options.visualizePitch?n._map.resetNorthPitch({},{originalEvent:t}):n._map.resetNorth({},{originalEvent:t})})),this._compassIcon=r.create(\"span\",\"mapboxgl-ctrl-icon\",this._compass),this._compassIcon.setAttribute(\"aria-hidden\",!0))};ji.prototype._updateZoomButtons=function(){var t=this._map.getZoom(),e=t===this._map.getMaxZoom(),r=t===this._map.getMinZoom();this._zoomInButton.disabled=e,this._zoomOutButton.disabled=r,this._zoomInButton.setAttribute(\"aria-disabled\",e.toString()),this._zoomOutButton.setAttribute(\"aria-disabled\",r.toString())},ji.prototype._rotateCompassArrow=function(){var t=this.options.visualizePitch?\"scale(\"+1/Math.pow(Math.cos(this._map.transform.pitch*(Math.PI/180)),.5)+\") rotateX(\"+this._map.transform.pitch+\"deg) rotateZ(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\":\"rotate(\"+this._map.transform.angle*(180/Math.PI)+\"deg)\";this._compassIcon.style.transform=t},ji.prototype.onAdd=function(t){return this._map=t,this.options.showZoom&&(this._setButtonTitle(this._zoomInButton,\"ZoomIn\"),this._setButtonTitle(this._zoomOutButton,\"ZoomOut\"),this._map.on(\"zoom\",this._updateZoomButtons),this._updateZoomButtons()),this.options.showCompass&&(this._setButtonTitle(this._compass,\"ResetBearing\"),this.options.visualizePitch&&this._map.on(\"pitch\",this._rotateCompassArrow),this._map.on(\"rotate\",this._rotateCompassArrow),this._rotateCompassArrow(),this._handler=new Ui(this._map,this._compass,this.options.visualizePitch)),this._container},ji.prototype.onRemove=function(){r.remove(this._container),this.options.showZoom&&this._map.off(\"zoom\",this._updateZoomButtons),this.options.showCompass&&(this.options.visualizePitch&&this._map.off(\"pitch\",this._rotateCompassArrow),this._map.off(\"rotate\",this._rotateCompassArrow),this._handler.off(),delete this._handler),delete this._map},ji.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},ji.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ui=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new ei({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new ri({clickTolerance:e.dragRotate._mousePitch._clickTolerance})),t.bindAll([\"mousedown\",\"mousemove\",\"mouseup\",\"touchstart\",\"touchmove\",\"touchend\",\"reset\"],this),r.addEventListener(n,\"mousedown\",this.mousedown),r.addEventListener(n,\"touchstart\",this.touchstart,{passive:!1}),r.addEventListener(n,\"touchmove\",this.touchmove),r.addEventListener(n,\"touchend\",this.touchend),r.addEventListener(n,\"touchcancel\",this.reset)};function Vi(e,r,n){if(e=new t.LngLat(e.lng,e.lat),r){var i=new t.LngLat(e.lng-360,e.lat),a=new t.LngLat(e.lng+360,e.lat),o=n.locationPoint(e).distSqr(r);n.locationPoint(i).distSqr(r)<o?e=i:n.locationPoint(a).distSqr(r)<o&&(e=a)}for(;Math.abs(e.lng-n.center.lng)>180;){var s=n.locationPoint(e);if(s.x>=0&&s.y>=0&&s.x<=n.width&&s.y<=n.height)break;e.lng>n.center.lng?e.lng-=360:e.lng+=360}return e}Ui.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ui.prototype.move=function(t,e){var r=this.map,n=this.mouseRotate.mousemoveWindow(t,e);if(n&&n.bearingDelta&&r.setBearing(r.getBearing()+n.bearingDelta),this.mousePitch){var i=this.mousePitch.mousemoveWindow(t,e);i&&i.pitchDelta&&r.setPitch(r.getPitch()+i.pitchDelta)}},Ui.prototype.off=function(){var t=this.element;r.removeEventListener(t,\"mousedown\",this.mousedown),r.removeEventListener(t,\"touchstart\",this.touchstart,{passive:!1}),r.removeEventListener(t,\"touchmove\",this.touchmove),r.removeEventListener(t,\"touchend\",this.touchend),r.removeEventListener(t,\"touchcancel\",this.reset),this.offTemp()},Ui.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ui.prototype.mousedown=function(e){this.down(t.extend({},e,{ctrlKey:!0,preventDefault:function(){return e.preventDefault()}}),r.mousePos(this.element,e)),r.addEventListener(t.window,\"mousemove\",this.mousemove),r.addEventListener(t.window,\"mouseup\",this.mouseup)},Ui.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ui.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ui.prototype.touchstart=function(t){1!==t.targetTouches.length?this.reset():(this._startPos=this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.down({type:\"mousedown\",button:0,ctrlKey:!0,preventDefault:function(){return t.preventDefault()}},this._startPos))},Ui.prototype.touchmove=function(t){1!==t.targetTouches.length?this.reset():(this._lastPos=r.touchPos(this.element,t.targetTouches)[0],this.move({preventDefault:function(){return t.preventDefault()}},this._lastPos))},Ui.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ui.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var qi={center:\"translate(-50%,-50%)\",top:\"translate(-50%,0)\",\"top-left\":\"translate(0,0)\",\"top-right\":\"translate(-100%,0)\",bottom:\"translate(-50%,-100%)\",\"bottom-left\":\"translate(0,-100%)\",\"bottom-right\":\"translate(-100%,-100%)\",left:\"translate(0,-50%)\",right:\"translate(-100%,-50%)\"};function Hi(t,e,r){var n=t.classList;for(var i in qi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var Gi,Wi=function(e){function n(n,i){if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._scale=n&&n.scale||1,this._draggable=n&&n.draggable||!1,this._clickTolerance=n&&n.clickTolerance||0,this._isDragging=!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var a=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");a.setAttributeNS(null,\"display\",\"block\"),a.setAttributeNS(null,\"height\",\"41px\"),a.setAttributeNS(null,\"width\",\"27px\"),a.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");o.setAttributeNS(null,\"stroke\",\"none\"),o.setAttributeNS(null,\"stroke-width\",\"1\"),o.setAttributeNS(null,\"fill\",\"none\"),o.setAttributeNS(null,\"fill-rule\",\"evenodd\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"fill-rule\",\"nonzero\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),l.setAttributeNS(null,\"fill\",\"#000000\");for(var u=0,c=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];u<c.length;u+=1){var f=c[u],h=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");h.setAttributeNS(null,\"opacity\",\"0.04\"),h.setAttributeNS(null,\"cx\",\"10.5\"),h.setAttributeNS(null,\"cy\",\"5.80029008\"),h.setAttributeNS(null,\"rx\",f.rx),h.setAttributeNS(null,\"ry\",f.ry),l.appendChild(h)}var p=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");p.setAttributeNS(null,\"fill\",this._color);var d=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");d.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),p.appendChild(d);var v=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");v.setAttributeNS(null,\"opacity\",\"0.25\"),v.setAttributeNS(null,\"fill\",\"#000000\");var g=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");g.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),v.appendChild(g);var y=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");y.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),y.setAttributeNS(null,\"fill\",\"#FFFFFF\");var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");x.setAttributeNS(null,\"fill\",\"#000000\"),x.setAttributeNS(null,\"opacity\",\"0.25\"),x.setAttributeNS(null,\"cx\",\"5.5\"),x.setAttributeNS(null,\"cy\",\"5.5\"),x.setAttributeNS(null,\"r\",\"5.4999962\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#FFFFFF\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\"),m.appendChild(x),m.appendChild(b),s.appendChild(l),s.appendChild(p),s.appendChild(v),s.appendChild(y),s.appendChild(m),a.appendChild(s),a.setAttributeNS(null,\"height\",41*this._scale+\"px\"),a.setAttributeNS(null,\"width\",27*this._scale+\"px\"),this._element.appendChild(a),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),Hi(this._element,this._anchor,\"marker\"),this._popup=null}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(t){return this.remove(),this._map=t,t.getCanvasContainer().appendChild(this._element),t.on(\"move\",this._update),t.on(\"moveend\",this._update),this.setDraggable(this._draggable),this._update(),this._map.on(\"click\",this._onMapClick),this},n.prototype.remove=function(){return this._map&&(this._map.off(\"click\",this._onMapClick),this._map.off(\"move\",this._update),this._map.off(\"moveend\",this._update),this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler),this._map.off(\"mouseup\",this._onUp),this._map.off(\"touchend\",this._onUp),this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),delete this._map),r.remove(this._element),this._popup&&this._popup.remove(),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._popup&&this._popup.setLngLat(this._lngLat),this._update(),this},n.prototype.getElement=function(){return this._element},n.prototype.setPopup=function(t){if(this._popup&&(this._popup.remove(),this._popup=null,this._element.removeEventListener(\"keypress\",this._onKeyPress),this._originalTabIndex||this._element.removeAttribute(\"tabindex\")),t){if(!(\"offset\"in t.options)){var e=13.5,r=Math.sqrt(Math.pow(e,2)/2);t.options.offset=this._defaultMarker?{top:[0,0],\"top-left\":[0,0],\"top-right\":[0,0],bottom:[0,-38.1],\"bottom-left\":[r,-1*(24.6+r)],\"bottom-right\":[-r,-1*(24.6+r)],left:[e,-24.6],right:[-13.5,-24.6]}:this._offset}this._popup=t,this._lngLat&&this._popup.setLngLat(this._lngLat),this._originalTabIndex=this._element.getAttribute(\"tabindex\"),this._originalTabIndex||this._element.setAttribute(\"tabindex\",\"0\"),this._element.addEventListener(\"keypress\",this._onKeyPress)}return this},n.prototype._onKeyPress=function(t){var e=t.code,r=t.charCode||t.keyCode;\"Space\"!==e&&\"Enter\"!==e&&32!==r&&13!==r||this.togglePopup()},n.prototype._onMapClick=function(t){var e=t.originalEvent.target,r=this._element;this._popup&&(e===r||r.contains(e))&&this.togglePopup()},n.prototype.getPopup=function(){return this._popup},n.prototype.togglePopup=function(){var t=this._popup;return t?(t.isOpen()?t.remove():t.addTo(this._map),this):this},n.prototype._update=function(t){if(this._map){this._map.transform.renderWorldCopies&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),this._pos=this._map.project(this._lngLat)._add(this._offset);var e=\"\";\"viewport\"===this._rotationAlignment||\"auto\"===this._rotationAlignment?e=\"rotateZ(\"+this._rotation+\"deg)\":\"map\"===this._rotationAlignment&&(e=\"rotateZ(\"+(this._rotation-this._map.getBearing())+\"deg)\");var n=\"\";\"viewport\"===this._pitchAlignment||\"auto\"===this._pitchAlignment?n=\"rotateX(0deg)\":\"map\"===this._pitchAlignment&&(n=\"rotateX(\"+this._map.getPitch()+\"deg)\"),t&&\"moveend\"!==t.type||(this._pos=this._pos.round()),r.setTransform(this._element,qi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){if(!this._isDragging){var r=this._clickTolerance||this._map._clickTolerance;this._isDragging=e.point.dist(this._pointerdownPos)>=r}this._isDragging&&(this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\")))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._pointerdownPos=null,this._isDragging=!1,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._pointerdownPos=t.point,this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Yi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Xi=0,Zi=!1,Ki=function(e){function n(r){e.call(this),this.options=t.extend({},Yi,r),t.bindAll([\"_onSuccess\",\"_onError\",\"_onZoom\",\"_finish\",\"_setupUI\",\"_updateCamera\",\"_updateMarker\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.onAdd=function(e){return this._map=e,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),n=this._setupUI,void 0!==Gi?n(Gi):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){Gi=\"denied\"!==t.state,n(Gi)})):(Gi=!!t.window.navigator.geolocation,n(Gi)),this._container;var n},n.prototype.onRemove=function(){void 0!==this._geolocationWatchID&&(t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0),this.options.showUserLocation&&this._userLocationDotMarker&&this._userLocationDotMarker.remove(),this.options.showAccuracyCircle&&this._accuracyCircleMarker&&this._accuracyCircleMarker.remove(),r.remove(this._container),this._map.off(\"zoom\",this._onZoom),this._map=void 0,Xi=0,Zi=!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&&Zi)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 Wi(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Wi({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\":Xi--,Zi=!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\"),++Xi>1?(e={maximumAge:6e5,timeout:0},Zi=!0):(e=this.options.positionOptions,Zi=!1),this._geolocationWatchID=t.window.navigator.geolocation.watchPosition(this._onSuccess,this._onError,e)}}else t.window.navigator.geolocation.getCurrentPosition(this._onSuccess,this._onError,this.options.positionOptions),this._timeoutId=setTimeout(this._finish,1e4);return!0},n.prototype._clearWatch=function(){t.window.navigator.geolocation.clearWatch(this._geolocationWatchID),this._geolocationWatchID=void 0,this._geolocateButton.classList.remove(\"mapboxgl-ctrl-geolocate-waiting\"),this._geolocateButton.setAttribute(\"aria-pressed\",\"false\"),this.options.showUserLocation&&this._updateMarker(null)},n}(t.Evented),Ji={maxWidth:100,unit:\"metric\"},$i=function(e){this.options=t.extend({},Ji,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Qi(t,e,r){var n=r&&r.maxWidth||100,i=t._container.clientHeight/2,a=t.unproject([0,i]),o=t.unproject([n,i]),s=a.distanceTo(o);if(r&&\"imperial\"===r.unit){var l=3.2808*s;l>5280?ta(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):ta(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?ta(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?ta(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):ta(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function ta(t,e,r,n){var i,a,o,s=(i=r,(a=Math.pow(10,(\"\"+Math.floor(i)).length-1))*((o=i/a)>=10?10:o>=5?5:o>=3?3:o>=2?2:o>=1?1:function(t){var e=Math.pow(10,Math.ceil(-Math.log(t)/Math.LN10));return Math.round(t*e)/e}(o))),l=s/r;t.style.width=e*l+\"px\",t.innerHTML=s+\"&nbsp;\"+n}$i.prototype.getDefaultPosition=function(){return\"bottom-left\"},$i.prototype._onMove=function(){Qi(this._map,this._container,this.options)},$i.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},$i.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},$i.prototype.setUnit=function(t){this.options.unit=t,Qi(this._map,this._container,this.options)};var ea=function(e){this._fullscreen=!1,e&&e.container&&(e.container instanceof t.window.HTMLElement?this._container=e.container:t.warnOnce(\"Full screen control 'container' must be a DOM element.\")),t.bindAll([\"_onClickFullscreen\",\"_changeIcon\"],this),\"onfullscreenchange\"in t.window.document?this._fullscreenchange=\"fullscreenchange\":\"onmozfullscreenchange\"in t.window.document?this._fullscreenchange=\"mozfullscreenchange\":\"onwebkitfullscreenchange\"in t.window.document?this._fullscreenchange=\"webkitfullscreenchange\":\"onmsfullscreenchange\"in t.window.document&&(this._fullscreenchange=\"MSFullscreenChange\")};ea.prototype.onAdd=function(e){return this._map=e,this._container||(this._container=this._map.getContainer()),this._controlContainer=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-group\"),this._checkFullscreenSupport()?this._setupUI():(this._controlContainer.style.display=\"none\",t.warnOnce(\"This device does not support fullscreen mode.\")),this._controlContainer},ea.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},ea.prototype._setupUI=function(){var e=this._fullscreenButton=r.create(\"button\",\"mapboxgl-ctrl-fullscreen\",this._controlContainer);r.create(\"span\",\"mapboxgl-ctrl-icon\",e).setAttribute(\"aria-hidden\",!0),e.type=\"button\",this._updateTitle(),this._fullscreenButton.addEventListener(\"click\",this._onClickFullscreen),t.window.document.addEventListener(this._fullscreenchange,this._changeIcon)},ea.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},ea.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},ea.prototype._isFullscreen=function(){return this._fullscreen},ea.prototype._changeIcon=function(){(t.window.document.fullscreenElement||t.window.document.mozFullScreenElement||t.window.document.webkitFullscreenElement||t.window.document.msFullscreenElement)===this._container!==this._fullscreen&&(this._fullscreen=!this._fullscreen,this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-shrink\"),this._fullscreenButton.classList.toggle(\"mapboxgl-ctrl-fullscreen\"),this._updateTitle())},ea.prototype._onClickFullscreen=function(){this._isFullscreen()?t.window.document.exitFullscreen?t.window.document.exitFullscreen():t.window.document.mozCancelFullScreen?t.window.document.mozCancelFullScreen():t.window.document.msExitFullscreen?t.window.document.msExitFullscreen():t.window.document.webkitCancelFullScreen&&t.window.document.webkitCancelFullScreen():this._container.requestFullscreen?this._container.requestFullscreen():this._container.mozRequestFullScreen?this._container.mozRequestFullScreen():this._container.msRequestFullscreen?this._container.msRequestFullscreen():this._container.webkitRequestFullscreen&&this._container.webkitRequestFullscreen()};var ra={closeButton:!0,closeOnClick:!0,focusAfterOpen:!0,className:\"\",maxWidth:\"240px\"},na=[\"a[href]\",\"[tabindex]:not([tabindex='-1'])\",\"[contenteditable]:not([contenteditable='false'])\",\"button:not([disabled])\",\"input:not([disabled])\",\"select:not([disabled])\",\"textarea:not([disabled])\"].join(\", \"),ia=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(ra),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._focusFirstElement(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){if(this._content)for(;this._content.hasChildNodes();)this._content.firstChild&&this._content.removeChild(this._content.firstChild);else this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container);return this._content.appendChild(t),this._createCloseButton(),this._update(),this._focusFirstElement(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.setOffset=function(t){return this.options.offset=t,this._update(),this},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createCloseButton=function(){this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(t){var e=this,n=this._lngLat||this._trackPointer;if(this._map&&n&&this._content&&(this._container||(this._container=r.create(\"div\",\"mapboxgl-popup\",this._map.getContainer()),this._tip=r.create(\"div\",\"mapboxgl-popup-tip\",this._container),this._container.appendChild(this._content),this.options.className&&this.options.className.split(\" \").forEach((function(t){return e._container.classList.add(t)})),this._trackPointer&&this._container.classList.add(\"mapboxgl-popup-track-pointer\")),this.options.maxWidth&&this._container.style.maxWidth!==this.options.maxWidth&&(this._container.style.maxWidth=this.options.maxWidth),this._map.transform.renderWorldCopies&&!this._trackPointer&&(this._lngLat=Vi(this._lngLat,this._pos,this._map.transform)),!this._trackPointer||t)){var i=this._pos=this._trackPointer&&t?t:this._map.project(this._lngLat),a=this.options.anchor,o=aa(this.options.offset);if(!a){var s,l=this._container.offsetWidth,u=this._container.offsetHeight;s=i.y+o.bottom.y<u?[\"top\"]:i.y>this._map.transform.height-u?[\"bottom\"]:[],i.x<l/2?s.push(\"left\"):i.x>this._map.transform.width-l/2&&s.push(\"right\"),a=0===s.length?\"bottom\":s.join(\"-\")}var c=i.add(o[a]).round();r.setTransform(this._container,qi[a]+\" translate(\"+c.x+\"px,\"+c.y+\"px)\"),Hi(this._container,a,\"popup\")}},n.prototype._focusFirstElement=function(){if(this.options.focusAfterOpen&&this._container){var t=this._container.querySelector(na);t&&t.focus()}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function aa(e){if(e){if(\"number\"==typeof e){var r=Math.round(Math.sqrt(.5*Math.pow(e,2)));return{center:new t.Point(0,0),top:new t.Point(0,e),\"top-left\":new t.Point(r,r),\"top-right\":new t.Point(-r,r),bottom:new t.Point(0,-e),\"bottom-left\":new t.Point(r,-r),\"bottom-right\":new t.Point(-r,-r),left:new t.Point(e,0),right:new t.Point(-e,0)}}if(e instanceof t.Point||Array.isArray(e)){var n=t.Point.convert(e);return{center:n,top:n,\"top-left\":n,\"top-right\":n,bottom:n,\"bottom-left\":n,\"bottom-right\":n,left:n,right:n}}return{center:t.Point.convert(e.center||[0,0]),top:t.Point.convert(e.top||[0,0]),\"top-left\":t.Point.convert(e[\"top-left\"]||[0,0]),\"top-right\":t.Point.convert(e[\"top-right\"]||[0,0]),bottom:t.Point.convert(e.bottom||[0,0]),\"bottom-left\":t.Point.convert(e[\"bottom-left\"]||[0,0]),\"bottom-right\":t.Point.convert(e[\"bottom-right\"]||[0,0]),left:t.Point.convert(e.left||[0,0]),right:t.Point.convert(e.right||[0,0])}}return aa(new t.Point(0,0))}var oa={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Fi,NavigationControl:ji,GeolocateControl:Ki,AttributionControl:Ei,ScaleControl:$i,FullscreenControl:ea,Popup:ia,Marker:Wi,Style:Ye,LngLat:t.LngLat,LngLatBounds:t.LngLatBounds,Point:t.Point,MercatorCoordinate:t.MercatorCoordinate,Evented:t.Evented,config:t.config,prewarm:function(){jt().acquire(Rt)},clearPrewarmedResources:function(){var t=Bt;t&&(t.isPreloaded()&&1===t.numActive()?(t.release(Rt),Bt=null):console.warn(\"Could not clear WebWorkers since there are active Map instances that still reference it. The pre-warmed WebWorker pool can only be cleared when all map instances have been removed with map.remove()\"))},get accessToken(){return t.config.ACCESS_TOKEN},set accessToken(e){t.config.ACCESS_TOKEN=e},get baseApiUrl(){return t.config.API_URL},set baseApiUrl(e){t.config.API_URL=e},get workerCount(){return Ft.workerCount},set workerCount(t){Ft.workerCount=t},get maxParallelImageRequests(){return t.config.MAX_PARALLEL_IMAGE_REQUESTS},set maxParallelImageRequests(e){t.config.MAX_PARALLEL_IMAGE_REQUESTS=e},clearStorage:function(e){t.clearTileCache(e)},workerUrl:\"\"};return oa})),r}()},3108:function(t,e,r){\"use strict\";t.exports=r(26099)},26099:function(t,e,r){\"use strict\";var n=r(64928),i=r(32420),a=r(51160),o=r(76752),s=r(55616),l=r(31264),u=r(47520),c=r(18400),f=r(72512),h=r(76244);function p(t,e){for(var r=e[0],n=e[1],a=1/(e[2]-r),o=1/(e[3]-n),s=new Array(t.length),l=0,u=t.length/2;l<u;l++)s[2*l]=i((t[2*l]-r)*a,0,1),s[2*l+1]=i((t[2*l+1]-n)*o,0,1);return 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t&&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 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float fontSize, charStep, em, align, baseline;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform vec4 color;\\n\\t\\t\\tuniform vec2 atlasSize, atlasDim, scale, translate, positionOffset;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 offset = floor(em * (vec2(align + charOffset, baseline)\\n\\t\\t\\t\\t\\t+ vec2(positionOffset.x, -positionOffset.y)))\\n\\t\\t\\t\\t\\t/ (viewport.zw * scale.xy);\\n\\n\\t\\t\\t\\tvec2 position = (position + translate) * scale;\\n\\t\\t\\t\\tposition += offset * scale;\\n\\n\\t\\t\\t\\tcharCoord = position * viewport.zw + viewport.xy;\\n\\n\\t\\t\\t\\tgl_Position = vec4(position * 2. - 1., 0, 1);\\n\\n\\t\\t\\t\\tgl_PointSize = charStep;\\n\\n\\t\\t\\t\\tcharId.x = mod(char, atlasDim.x);\\n\\t\\t\\t\\tcharId.y = floor(char / atlasDim.x);\\n\\n\\t\\t\\t\\tcharWidth = width * em;\\n\\n\\t\\t\\t\\tfontColor = color / 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return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign 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t.offset&&(t.offset=[t.offset,0]),this.positionOffset=m(t.offset)),t.direction&&(this.direction=t.direction),t.range&&(this.range=t.range,this.scale=[1/(t.range[2]-t.range[0]),1/(t.range[3]-t.range[1])],this.translate=[-t.range[0],-t.range[1]]),t.scale&&(this.scale=t.scale),t.translate&&(this.translate=t.translate),this.scale||(this.scale=[1/this.viewport.width,1/this.viewport.height]),this.translate||(this.translate=[0,0]),this.font.length||t.font||(t.font=T.baseFontSize+\"px sans-serif\");var r,a=!1,o=!1;if(t.font&&(Array.isArray(t.font)?t.font:[t.font]).forEach((function(t,r){if(\"string\"==typeof t)try{t=n.parse(t)}catch(e){t=n.parse(T.baseFontSize+\"px \"+t)}else{var i=t.style,s=t.weight,l=t.stretch,u=t.variant;t=n.parse(n.stringify(t)),i&&(t.style=i),s&&(t.weight=s),l&&(t.stretch=l),u&&(t.variant=u)}var c=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),f=p(t.size),h=Math.round(f[0]*d(f[1]));if(h!==e.fontSize[r]&&(o=!0,e.fontSize[r]=h),!(e.font[r]&&c==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[c],e.font[r]))){var v=t.family.join(\", \"),g=[t.style];t.style!=t.variant&&g.push(t.variant),t.variant!=t.weight&&g.push(t.weight),_&&t.weight!=t.stretch&&g.push(t.stretch),e.font[r]={baseString:c,family:v,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(v,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:g.join(\" \")})},T.fonts[c]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var s=Array(.5*t.position.length),h=0;h<s.length;h++)s[h]=t.text;t.text=s}if(null!=t.text||a){if(this.textOffsets=[0],Array.isArray(t.text)){this.count=t.text[0].length,this.counts=[this.count];for(var b=1;b<t.text.length;b++)this.textOffsets[b]=this.textOffsets[b-1]+t.text[b-1].length,this.count+=t.text[b].length,this.counts.push(t.text[b].length);this.text=t.text.join(\"\")}else this.text=t.text,this.count=this.text.length,this.counts=[this.count];r=[],this.font.forEach((function(t,n){T.atlasContext.font=t.baseString;for(var i=e.fontAtlas[n],a=0;a<e.text.length;a++){var o=e.text.charAt(a);if(null==i.ids[o]&&(i.ids[o]=i.chars.length,i.chars.push(o),r.push(o)),null==t.width[o]&&(t.width[o]=T.atlasContext.measureText(o).width/T.baseFontSize,e.kerning)){var s=[];for(var l in t.width)s.push(l+o,o+l);g(t.kerning,v(t.family,{pairs:s}))}}}))}if(t.position)if(t.position.length>2){for(var w=!t.position[0].length,k=c.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}),c.freeFloat(k)}else this.position.destroy&&this.position.destroy(),this.position={constant:t.position};if(t.text||a){var C=c.mallocUint8(this.count),P=c.mallocFloat(2*this.count);this.textWidth=[];for(var O=0,I=0;O<this.counts.length;O++){for(var z=this.counts[O],D=this.font[O]||this.font[0],R=this.fontAtlas[O]||this.fontAtlas[0],F=0;F<z;F++){var B=this.text.charAt(I),N=this.text.charAt(I-1);if(C[I]=R.ids[B],P[2*I]=D.width[B],F){var j=P[2*I-2],U=P[2*I],V=P[2*I-1]+.5*j+.5*U;if(this.kerning){var q=D.kerning[N+B];q&&(V+=.001*q)}P[2*I+1]=V}else P[2*I+1]=.5*P[2*I];I++}this.textWidth.push(P.length?.5*P[2*I-2]+P[2*I-1]:0)}t.align||(t.align=this.align),this.charBuffer({data:C,type:\"uint8\",usage:\"stream\"}),this.sizeBuffer({data:P,type:\"float\",usage:\"stream\"}),c.freeUint8(C),c.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),c=x(s*i);n.width=l,n.height=c,n.rows=s,n.cols=o,n.em&&n.texture({data:u({canvas:T.atlasCanvas,font:n.fontString,chars:n.chars,shape:[l,c],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,-1*(i+=\"number\"==typeof t?t-n.baseline:-n[t])}))),null!=t.color)if(t.color||(t.color=\"transparent\"),\"string\"!=typeof t.color&&isNaN(t.color)){var H;if(\"number\"==typeof t.color[0]&&t.color.length>this.counts.length){var G=t.color.length;H=c.mallocUint8(G);for(var W=(t.color.subarray||t.color.slice).bind(t.color),Y=0;Y<G;Y+=4)H.set(l(W(Y,Y+4),\"uint8\"),Y)}else{var X=t.color.length;H=c.mallocUint8(4*X);for(var Z=0;Z<X;Z++)H.set(l(t.color[Z]||0,\"uint8\"),4*Z)}this.color=H}else this.color=l(t.color,\"uint8\");if(t.position||t.text||t.color||t.baseline||t.align||t.font||t.offset||t.opacity)if(this.color.length>4||this.baselineOffset.length>1||this.align&&this.align.length>1||this.fontAtlas.length>1||this.positionOffset.length>2){var K=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(K);for(var J=0;J<this.batch.length;J++)this.batch[J]={count:this.counts.length>1?this.counts[J]:this.counts[0],offset:this.textOffsets.length>1?this.textOffsets[J]:this.textOffsets[0],color:this.color?this.color.length<=4?this.color:this.color.subarray(4*J,4*J+4):[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[J]:this.opacity,baseline:null!=this.baselineOffset[J]?this.baselineOffset[J]:this.baselineOffset[0],align:this.align?null!=this.alignOffset[J]?this.alignOffset[J]:this.alignOffset[0]:0,atlas:this.fontAtlas[J]||this.fontAtlas[0],positionOffset:this.positionOffset.length>2?this.positionOffset.subarray(2*J,2*J+2):this.positionOffset}}else this.count?this.batch=[{count:this.count,offset:0,color:this.color||[0,0,0,255],opacity:Array.isArray(this.opacity)?this.opacity[0]:this.opacity,baseline:this.baselineOffset[0],align:this.alignOffset?this.alignOffset[0]:0,atlas:this.fontAtlas[0],positionOffset:this.positionOffset}]:this.batch=[]},T.prototype.destroy=function(){},T.prototype.kerning=!0,T.prototype.position={constant:new Float32Array(2)},T.prototype.translate=null,T.prototype.scale=null,T.prototype.font=null,T.prototype.text=\"\",T.prototype.positionOffset=[0,0],T.prototype.opacity=1,T.prototype.color=new Uint8Array([0,0,0,255]),T.prototype.alignOffset=[0,0],T.maxAtlasSize=1024,T.atlasCanvas=document.createElement(\"canvas\"),T.atlasContext=T.atlasCanvas.getContext(\"2d\",{alpha:!1}),T.baseFontSize=64,T.fonts={},t.exports=T},55212:function(t,e,r){\"use strict\";var n=r(55616);function 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n=t.segments({inverted:!1,regions:[]}),i=0;i<e.coordinates.length;i++)n=t.selectUnion(t.combine(n,r(e.coordinates[i])));return t.polygon(n)}throw new Error(\"PolyBool: Cannot convert GeoJSON object to PolyBool polygon\")},fromPolygon:function(t,e,r){function n(t,r){return e.pointInsideRegion([.5*(t[0][0]+t[1][0]),.5*(t[0][1]+t[1][1])],r)}function i(t){return{region:t,children:[]}}r=t.polygon(t.segments(r));var a=i(null);function o(t,e){for(var r=0;r<t.children.length;r++)if(n(e,(s=t.children[r]).region))return void o(s,e);var a=i(e);for(r=0;r<t.children.length;r++){var s;n((s=t.children[r]).region,e)&&(a.children.push(s),t.children.splice(r,1),r--)}t.children.push(a)}for(var s=0;s<r.regions.length;s++){var l=r.regions[s];l.length<3||o(a,l)}function u(t,e){for(var r=0,n=t[t.length-1][0],i=t[t.length-1][1],a=[],o=0;o<t.length;o++){var s=t[o][0],l=t[o][1];a.push([s,l]),r+=l*n-s*i,n=s,i=l}return r<0!==e&&a.reverse(),a.push([a[0][0],a[0][1]]),a}var c=[];function f(t){var e=[u(t.region,!1)];c.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 u(t.region,!0)}for(s=0;s<a.children.length;s++)f(a.children[s]);return c.length<=0?{type:\"Polygon\",coordinates:[]}:1==c.length?{type:\"Polygon\",coordinates:c[0]}:{type:\"MultiPolygon\",coordinates:c}}};t.exports=e},72200:function(t,e,r){var n=r(48088);t.exports=function(t,e,r){function i(t,e,n){return{id:r?r.segmentId():-1,start:t,end:e,myFill:{above:n.myFill.above,below:n.myFill.below},otherFill:null}}var a=n.create();function o(t,r){a.insertBefore(t,(function(n){return i=t.isStart,a=t.pt,o=r,s=n.isStart,l=n.pt,u=n.other.pt,(0!==(c=e.pointsCompare(a,l))?c:e.pointsSame(o,u)?0:i!==s?i?1:-1:e.pointAboveOrOnLine(o,s?l:u,s?u:l)?1:-1)<0;var i,a,o,s,l,u,c}))}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 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y,m,x=g();if(x)t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below)&&(x.seg.myFill.above=!x.seg.myFill.above):x.seg.otherFill=h.seg.myFill,r&&r.segmentUpdate(x.seg),h.other.remove(),h.remove();if(a.getHead()!==h){r&&r.rewind(h.seg);continue}t?(m=null===h.seg.myFill.below||h.seg.myFill.above!==h.seg.myFill.below,h.seg.myFill.below=v?v.seg.myFill.above:i,h.seg.myFill.above=m?!h.seg.myFill.below:h.seg.myFill.below):null===h.seg.otherFill&&(y=v?h.primary===v.primary?v.seg.otherFill.above:v.seg.myFill.above:h.primary?o:i,h.seg.otherFill={above:y,below:y}),r&&r.status(h.seg,!!d&&d.seg,!!v&&v.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)&&c(b.prev.ev,b.next.ev),r&&r.statusRemove(b.ev.seg),b.remove(),!h.primary){var 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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}}},11403:function(t){t.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},u=s,c=0;c<n.length;c++){var f=(g=n[c])[0],h=(g[1],g[g.length-1]);if(g[g.length-2],e.pointsSame(f,a)){if(k(c,!0,!0))break}else if(e.pointsSame(f,o)){if(k(c,!0,!1))break}else if(e.pointsSame(h,a)){if(k(c,!1,!0))break}else if(e.pointsSame(h,o)&&k(c,!1,!1))break}if(u===s)return 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a=n[t],o=n[i],s=a[a.length-1],l=a[a.length-2],u=o[0],c=o[1];e.pointsCollinear(l,s,u)&&(r&&r.chainRemoveTail(t,s),a.pop(),s=l),e.pointsCollinear(s,u,c)&&(r&&r.chainRemoveHead(i,u),o.shift()),r&&r.chainJoin(t,i),n[t]=a.concat(o),n.splice(i,1)}})),i}},82368:function(t){function e(t,e,r){var n=[];return t.forEach((function(t){var i=(t.myFill.above?8:0)+(t.myFill.below?4:0)+(t.otherFill&&t.otherFill.above?2:0)+(t.otherFill&&t.otherFill.below?1:0);0!==e[i]&&n.push({id:r?r.segmentId():-1,start:t.start,end:t.end,myFill:{above:1===e[i],below:2===e[i]},otherFill:null})})),r&&r.selected(n),n}var r={union:function(t,r){return e(t,[0,2,1,0,2,2,0,0,1,0,1,0,0,0,0,0],r)},intersect:function(t,r){return e(t,[0,0,0,0,0,2,0,2,0,0,1,1,0,2,1,0],r)},difference:function(t,r){return e(t,[0,0,0,0,2,0,2,0,1,1,0,0,0,1,2,0],r)},differenceRev:function(t,r){return e(t,[0,2,1,0,0,0,1,1,0,2,0,2,0,0,0,0],r)},xor:function(t,r){return e(t,[0,2,1,0,2,0,0,1,1,0,0,2,0,1,2,0],r)}};t.exports=r},9696:function(t,e,r){\"use 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this.big_endian?16777216*r[t]+65536*r[t+1]+256*r[t+2]+r[t+3]:r[t]+256*r[t+1]+65536*r[t+2]+16777216*r[t+3]},n.prototype.is_subifd_link=function(t,e){return 0===t&&34665===e||0===t&&34853===e||34665===t&&40965===e},n.prototype.exif_format_length=function(t){switch(t){case 1:case 2:case 6:case 7:return 1;case 3:case 8:return 2;case 4:case 9:case 11:return 4;case 5:case 10:case 12:return 8;default:return 0}},n.prototype.exif_format_read=function(t,e){var r;switch(t){case 1:case 2:return this.input[e];case 6:return(r=this.input[e])|33554430*(128&r);case 3:return this.read_uint16(e);case 8:return(r=this.read_uint16(e))|131070*(32768&r);case 4:return this.read_uint32(e);case 9:return 0|this.read_uint32(e);default:return null}},n.prototype.scan_ifd=function(t,n,i){var a=this.read_uint16(n);n+=2;for(var o=0;o<a;o++){var s=this.read_uint16(n),l=this.read_uint16(n+2),u=this.read_uint32(n+4),c=this.exif_format_length(l),f=u*c,h=f<=4?n+8:this.read_uint32(n+8),p=!1;if(h+f>this.input.length)throw e(\"unexpected EOF\",\"EBADDATA\");for(var d=[],v=h,g=0;g<u;g++,v+=c){var y=this.exif_format_read(l,v);if(null===y){d=null;break}d.push(y)}if(Array.isArray(d)&&2===l&&(d=r(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===i({is_big_endian:this.big_endian,ifd:t,tag:s,format:l,count:u,entry_offset:n+this.start,data_length:f,data_offset:h+this.start,value:d,is_subifd_link:p}))return void(this.aborted=!0);n+=12}0===t&&this.ifds_to_read.push({id:1,offset:this.read_uint32(n)})},t.exports.ExifParser=n,t.exports.get_orientation=function(t){var e=0;try{return new n(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}}},44600:function(t,e,r){\"use strict\";var n=r(9696).eW,i=r(9696).eI;function a(t,e){if(t.length<4+e)return null;var r=i(t,e);return 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t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],\"uint8\");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=f(e.scale),e.translateFract=f(e.translate),t},viewport:function(t){var e;return Array.isArray(t)?e={x:t[0],y:t[1],width:t[2]-t[0],height:t[3]-t[1]}:t?(e={x:t.x||t.left||0,y:t.y||t.top||0},t.right?e.width=t.right-e.x:e.width=t.w||t.width||0,t.bottom?e.height=t.bottom-e.y:e.height=t.h||t.height||0):e={x:0,y:0,width:y.drawingBufferWidth,height:y.drawingBufferHeight},e}}]),c):c})),e||r){var h=x.reduce((function(t,e,r){return t+(e?e.count:0)}),0),g=new Float64Array(2*h),_=new Uint8Array(4*h),w=new Float32Array(4*h);x.forEach((function(t,e){if(t){var r=t.positions,n=t.count,i=t.offset,a=t.color,o=t.errors;n&&(_.set(a,4*i),w.set(o,4*i),g.set(r,2*i))}}));var T=c(g);u(T);var k=f(g,T);p(k),d(_),v(w)}}}function k(){u.destroy(),p.destroy(),d.destroy(),v.destroy(),g.destroy()}};var 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]]},13472:function(t,e,r){\"use strict\";var n=r(72160),i=r(76752),a=r(50896),o=r(55616),s=r(47520),l=r(28912),u=r(71152),c=r(37816),f=c.float32,h=c.fract32,p=r(60463),d=r(51160),v=r(10272);function g(t,e){if(!(this instanceof g))return new g(t,e);if(\"function\"==typeof t?(e||(e={}),e.regl=t):e=t,e.length&&(e.positions=e),!(t=e.regl).hasExtension(\"ANGLE_instanced_arrays\"))throw Error(\"regl-error2d: `ANGLE_instanced_arrays` extension should be enabled\");this.gl=t._gl,this.regl=t,this.passes=[],this.shaders=g.shaders.has(t)?g.shaders.get(t):g.shaders.set(t,g.createShaders(t)).get(t),this.update(e)}t.exports=g,g.dashMult=2,g.maxPatternLength=256,g.precisionThreshold=3e6,g.maxPoints=1e4,g.maxLines=2048,g.shaders=new p,g.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:\"\\nprecision highp float;\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\",frag:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:\"\\nprecision highp float;\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\",frag:\"\\nprecision highp float;\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\",attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1},bColor:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:4,divisor:1},prevCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:0,divisor:1},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},nextCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:24,divisor:1}}},n))}catch(t){e=i}return{fill:t({primitive:\"triangle\",elements:function(t,e){return e.triangles},offset:0,vert:\"\\nprecision highp float;\\n\\nattribute vec2 position, positionFract;\\n\\nuniform vec4 color;\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float pixelRatio, id;\\nuniform vec4 viewport;\\nuniform float opacity;\\n\\nvarying vec4 fragColor;\\n\\nconst float MAX_LINES = 256.;\\n\\nvoid main() {\\n\\tfloat 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at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*g.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}y.dashLength=tt,y.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=y.count,ut=t.color;ut||(ut=\"transparent\");var ct=new Uint8Array(4*lt+4);if(Array.isArray(ut)&&\"number\"!=typeof ut[0]){for(var ft=0;ft<lt;ft++){var ht=n(ut[ft],\"uint8\");ct.set(ht,4*ft)}ct.set(n(ut[0],\"uint8\"),4*lt)}else for(var pt=n(ut,\"uint8\"),dt=0;dt<lt+1;dt++)ct.set(pt,4*dt);y.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ct})}}else e.passes[p]=null})),t.length<this.passes.length){for(var p=t.length;p<this.passes.length;p++){var y=this.passes[p];y&&(y.colorBuffer.destroy(),y.positionBuffer.destroy(),y.dashTexture.destroy())}this.passes.length=t.length}for(var m=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&m.push(this.passes[x]);return this.passes=m,this}},g.prototype.destroy=function(){return 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Uint8Array(1020),width:255,height:1,type:\"uint8\",format:\"rgba\",wrapS:\"clamp\",wrapT:\"clamp\",mag:\"nearest\",min:\"nearest\"}),c(this,{regl:t,gl:i,groups:[],markerCache:[null],markerTextures:[null],palette:a,paletteIds:{},paletteTexture:n,maxColors:255,maxSize:100,canvas:i.canvas}),this.update(e);var o={uniforms:{constPointSize:!!e.constPointSize,opacity:t.prop(\"opacity\"),paletteSize:function(t,e){return[r.tooManyColors?0:255,n.height]},pixelRatio:t.context(\"pixelRatio\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translate:t.prop(\"translate\"),translateFract:t.prop(\"translateFract\"),markerTexture:t.prop(\"markerTexture\"),paletteTexture:n},attributes:{x:function(t,e){return e.xAttr||{buffer:e.positionBuffer,stride:8,offset:0}},y:function(t,e){return e.yAttr||{buffer:e.positionBuffer,stride:8,offset:4}},xFract:function(t,e){return e.xAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:0}},yFract:function(t,e){return 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vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\\n\"]),this.drawMarker=t(s);var l=c({},o);l.frag=f([\"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=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute float x, y, xFract, yFract;\\nattribute float size, borderSize;\\nattribute vec4 colorId, borderColorId;\\nattribute float isActive;\\n\\n// `invariant` effectively turns off optimizations for the position.\\n// We need this because -fast-math on M1 Macs is re-ordering\\n// floating point operations in a way that causes floating point\\n// precision limits to put points in the wrong locations.\\ninvariant gl_Position;\\n\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 paletteSize, scale, scaleFract, translate, translateFract;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragBorderRadius, fragWidth;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = (size + borderSize) * pointSizeScale;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragBorderRadius = 1. - 2. * borderSize / (size + borderSize);\\n  fragColor = color;\\n  fragBorderColor = borderColor.a == 0. || borderSize == 0. ? vec4(color.rgb, 0.) : borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n}\\n\"]),v&&(l.frag=l.frag.replace(\"smoothstep\",\"smoothStep\"),s.frag=s.frag.replace(\"smoothstep\",\"smoothStep\")),this.drawCircle=t(l)}x.defaults={color:\"black\",borderColor:\"transparent\",borderSize:0,size:12,opacity:1,marker:void 0,viewport:null,range:null,pixelSize:null,count:0,offset:0,bounds:null,positions:[],snap:1e4},x.prototype.render=function(){return arguments.length&&this.update.apply(this,arguments),this.draw(),this},x.prototype.draw=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];var i=this.groups;if(1===r.length&&Array.isArray(r[0])&&(null===r[0][0]||Array.isArray(r[0][0]))&&(r=r[0]),this.regl._refresh(),r.length)for(var a=0;a<r.length;a++)this.drawItem(a,r[a]);else i.forEach((function(e,r){t.drawItem(r)}));return this},x.prototype.drawItem=function(t,e){var r,n=this.groups,o=n[t];if(\"number\"==typeof e&&(t=e,o=n[e],e=null),o&&o.count&&o.opacity){o.activation[0]&&this.drawCircle(this.getMarkerDrawOptions(0,o,e));for(var s=[],l=1;l<o.activation.length;l++)o.activation[l]&&(!0===o.activation[l]||o.activation[l].data.length)&&s.push.apply(s,function(t){if(Array.isArray(t))return a(t)}(r=this.getMarkerDrawOptions(l,o,e))||function(t){if(\"undefined\"!=typeof Symbol&&null!=t[Symbol.iterator]||null!=t[\"@@iterator\"])return Array.from(t)}(r)||i(r)||function(){throw new TypeError(\"Invalid attempt to spread non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}());s.length&&this.drawMarker(s)}},x.prototype.getMarkerDrawOptions=function(t,e,r){var i=e.range,a=e.tree,o=e.viewport,s=e.activation,l=e.selectionBuffer,u=e.count;if(this.regl,!a)return r?[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],count:r.length,elements:r,offset:0})]:[c({},e,{markerTexture:this.markerTextures[t],activation:s[t],offset:0})];var f=[],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(u),v=0;v<r.length;v++){var g=r[v];d[g]=p?p[g]:1}l.subdata(d)}for(var y=h.length;y--;){var m=n(h[y],2),x=m[0],b=m[1];f.push(c({},e,{markerTexture:this.markerTextures[t],activation:r?l:s[t],offset:x,count:b-x}))}return f},x.prototype.update=function(){for(var t=this,e=arguments.length,r=new Array(e),n=0;n<e;n++)r[n]=arguments[n];if(r.length){1===r.length&&Array.isArray(r[0])&&(r=r[0]);var i=this.groups,a=this.gl,o=this.regl,l=this.maxSize,f=this.maxColors,v=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=h(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=c({},x.defaults,e)),e.positions&&!(\"marker\"in e)&&(e.marker=n.marker,delete n.marker),e.marker&&!(\"positions\"in e)&&(e.positions=n.positions,delete n.positions);var m=0,b=0;if(p(n,e,[{snap:!0,size:function(t,e){return null==t&&(t=x.defaults.size),m+=t&&t.length?1:0,t},borderSize:function(t,e){return null==t&&(t=x.defaults.borderSize),m+=t&&t.length?1:0,t},opacity:parseFloat,color:function(e,r){return null==e&&(e=x.defaults.color),e=t.updateColor(e),b++,e},borderColor:function(e,r){return null==e&&(e=x.defaults.borderColor),e=t.updateColor(e),b++,e},bounds:function(t,e,r){return\"range\"in r||(r.range=null),t},positions:function(t,e,r){var n=e.snap,i=e.positionBuffer,a=e.positionFractBuffer,l=e.selectionBuffer;if(t.x||t.y)return t.x.length?e.xAttr={buffer:o.buffer(t.x),offset:0,stride:4,count:t.x.length}:e.xAttr={buffer:t.x.buffer,offset:4*t.x.offset||0,stride:4*(t.x.stride||1),count:t.x.count},t.y.length?e.yAttr={buffer:o.buffer(t.y),offset:0,stride:4,count:t.y.length}:e.yAttr={buffer:t.y.buffer,offset:4*t.y.offset||0,stride:4*(t.y.stride||1),count:t.y.count},e.count=Math.max(e.xAttr.count,e.yAttr.count),t;t=d(t,\"float64\");var c=e.count=Math.floor(t.length/2),f=e.bounds=c?s(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=g.float32(t);return i({data:p,usage:\"dynamic\"}),a({data:g.fract32(t,p),usage:\"dynamic\"}),l({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 u=t.addMarker(e[s]);a[u]||(a[u]=new Uint8Array(r.count)),a[u][s]=1}for(var c=0;c<a.length;c++)if(a[c]){var f={data:a[c],type:\"uint8\",usage:\"static\"};i[c]?i[c](f):i[c]=o.buffer(f),i[c].data=a[c]}}else i[t.addMarker(e)]=!0;return e},range:function(t,e,r){var n=e.bounds;if(n)return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=g.fract(e.scale),e.translateFract=g.fract(e.translate),t},viewport:function(t){return y(t||[a.drawingBufferWidth,a.drawingBufferHeight])}}]),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])/l),M[2*S+1]=Math.round(255*(null==k[S]?k:k[S])/l);A({data:M,usage:\"dynamic\"})}if(b){var E,L=n,C=L.count,P=L.color,O=L.borderColor,I=L.colorBuffer;if(t.tooManyColors){if(P.length||O.length){E=new Uint8Array(8*C);for(var z=0;z<C;z++){var D=P[z];E[8*z]=v[4*D],E[8*z+1]=v[4*D+1],E[8*z+2]=v[4*D+2],E[8*z+3]=v[4*D+3];var R=O[z];E[8*z+4]=v[4*R],E[8*z+5]=v[4*R+1],E[8*z+6]=v[4*R+2],E[8*z+7]=v[4*R+3]}}}else if(P.length||O.length){E=new Uint8Array(4*C+2);for(var F=0;F<C;F++)null!=P[F]&&(E[4*F]=P[F]%f,E[4*F+1]=Math.floor(P[F]/f)),null!=O[F]&&(E[4*F+2]=O[F]%f,E[4*F+3]=Math.floor(O[F]/f))}I({data:E||new Uint8Array(0),type:\"uint8\",usage:\"dynamic\"})}return n}))}},x.prototype.addMarker=function(t){var e,r=this.markerTextures,n=this.regl,i=this.markerCache,a=null==t?0:i.indexOf(t);if(a>=0)return a;if(t instanceof Uint8Array||t instanceof Uint8ClampedArray)e=t;else{e=new Uint8Array(t.length);for(var o=0,s=t.length;o<s;o++)e[o]=255*t[o]}var l=Math.floor(Math.sqrt(e.length));return a=r.length,i.push(t),r.push(n.texture({channels:1,data:e,radius:l,mag:\"linear\",min:\"linear\"})),a},x.prototype.updateColor=function(t){var e=this.paletteIds,r=this.palette,n=this.maxColors;Array.isArray(t)||(t=[t]);var i=[];if(\"number\"==typeof t[0]){var a=[];if(Array.isArray(t))for(var s=0;s<t.length;s+=4)a.push(t.slice(s,s+4));else for(var u=0;u<t.length;u+=4)a.push(t.subarray(u,u+4));t=a}for(var c=0;c<t.length;c++){var f=t[c];f=o(f,\"uint8\");var h=l(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[c]=e[h]}return!this.tooManyColors&&r.length>4*n&&(this.tooManyColors=!0),this.updatePalette(r),1===i.length?i[0]:i},x.prototype.updatePalette=function(t){if(!this.tooManyColors){var e=this.maxColors,r=this.paletteTexture,n=Math.ceil(.25*t.length/e);if(n>1)for(var i=.25*(t=t.slice()).length%e;i<n*e;i++)t.push(0,0,0,0);r.height<n&&r.resize(e,n),r.subimage({width:Math.min(.25*t.length,e),height:n,data:t},0,0)}},x.prototype.destroy=function(){return this.groups.forEach((function(t){t.sizeBuffer.destroy(),t.positionBuffer.destroy(),t.positionFractBuffer.destroy(),t.colorBuffer.destroy(),t.activation.forEach((function(t){return t&&t.destroy&&t.destroy()})),t.selectionBuffer.destroy(),t.elements&&t.elements.destroy()})),this.groups.length=0,this.paletteTexture.destroy(),this.markerTextures.forEach((function(t){return t&&t.destroy&&t.destroy()})),this};var b=r(50896);t.exports=function(t,e){var r=new m(t,e),n=r.render.bind(r);return b(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}},55795:function(t,e,r){\"use strict\";var n=r(38540),i=r(55616),a=r(76752),o=r(3951),s=r(67752),l=r(51160),u=r(47520);function c(t,e){if(!(this instanceof c))return new c(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]}t.exports=c,c.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)},c.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,u=0;u<l.length;u++)i.push(this.passes[l[u]]);s.passOffset=a,a+=s.passes.length}return(t=this.scatter).update.apply(t,i),this}},c.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 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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(u(o.data)),s.columns=o.data.length,s.count=o.data[0].length,s.bounds=[];for(var c=0;c<s.columns;c++)s.bounds[c]=a(o.data[c],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 v=s.columns,g=s.count,y=s.viewport.width,m=s.viewport.height,x=s.viewport.x,b=s.viewport.y,_=y/v,w=m/v;s.passes=[];for(var T=0;T<v;T++)for(var k=0;k<v;k++)if((s.diagonal||k!==T)&&(s.upper||!(T>k))&&(s.lower||!(T<k))){var A=f(s.id,T,k),M=this.passes[A]||(this.passes[A]={});if(o.data&&(o.transpose?M.positions={x:{buffer:s.buffer,offset:k,count:g,stride:v},y:{buffer:s.buffer,offset:T,count:g,stride:v}}:M.positions={x:{buffer:s.buffer,offset:k*g,count:g},y:{buffer:s.buffer,offset:T*g,count:g}},M.bounds=h(s.bounds,T,k)),o.domain||o.viewport||o.data){var S=d?h(s.padding,T,k):s.padding;if(s.domain){var E=h(s.domain,T,k),L=E[0],C=E[1],P=E[2],O=E[3];M.viewport=[x+L*y+S[0],b+C*m+S[1],x+P*y-S[2],b+O*m-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},c.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 u=e[i],c=this.traces[i],f=c.passes,h=c.passOffset;f=f.map((function(t,e){n[h+e]=u}))}(t=this.scatter).draw.apply(t,n)}else this.scatter.draw();return this},c.prototype.destroy=function(){return this.traces.forEach((function(t){t.buffer&&t.buffer.destroy&&t.buffer.destroy()})),this.traces=null,this.passes=null,this.scatter.destroy(),this}},28624:function(t){t.exports=function(){function t(t,e){this.id=W++,this.type=t,this.data=e}function e(t){if(0===t.length)return[];var r=t.charAt(0),n=t.charAt(t.length-1);if(1<t.length&&r===n&&('\"'===r||\"'\"===r))return['\"'+t.substr(1,t.length-2).replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];if(r=/\\[(false|true|null|\\d+|'[^']*'|\"[^\"]*\")\\]/.exec(t))return e(t.substr(0,r.index)).concat(e(r[1])).concat(e(t.substr(r.index+r[0].length)));if(1===(r=t.split(\".\")).length)return['\"'+t.replace(/\\\\/g,\"\\\\\\\\\").replace(/\"/g,'\\\\\"')+'\"'];for(t=[],n=0;n<r.length;++n)t=t.concat(e(r[n]));return t}function r(t){return\"[\"+e(t).join(\"][\")+\"]\"}function n(t){return\"string\"==typeof t?t.split():t}function i(t){return\"string\"==typeof t?document.querySelector(t):t}function a(t){var e,r,a,o,s=t||{};t={};var 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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},65168:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear),13},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(13===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return(t=i.year())<0&&t++,i.day()+30*(i.month()-1)+365*(t-1)+Math.floor(t/4)+this.jdEpoch-1},fromJD:function(t){var e=Math.floor(t)+.5-this.jdEpoch,r=Math.floor((e-Math.floor((e+366)/1461))/365)+1;r<=0&&r--,e=Math.floor(t)+.5-this.newDate(r,1,1).toJD();var n=Math.floor(e/30)+1,i=e-30*(n-1)+1;return this.newDate(r,n,i)}}),n.calendars.ethiopian=a},2084:function(t,e,r){var n=r(38700),i=r(50896);function 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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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e=Math.floor((30*(t-this.jdEpoch)+10646)/10631);e=e<=0?e-1:e;var r=Math.min(12,Math.ceil((t-29-this.toJD(e,1,1))/29.5)+1),n=t-this.toJD(e,r,1)+1;return this.newDate(e,r,n)}}),n.calendars.islamic=a},24747:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var 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},65616:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}function o(t,e){return t-e*Math.floor(t/e)}function s(t,e){return o(t-1,e)+1}a.prototype=new 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this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),!1},formatYear:function(t){t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year();var e=Math.floor(t/400);return t%=400,t+=t<0?400:0,e+\".\"+Math.floor(t/20)+\".\"+t%20},forYear:function(t){if((t=t.split(\".\")).length<3)throw\"Invalid Mayan year\";for(var e=0,r=0;r<t.length;r++){var n=parseInt(t[r],10);if(Math.abs(n)>19||r>0&&n<0)throw\"Invalid Mayan year\";e=20*e+n}return e},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),18},weekOfYear:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate),0},daysInYear:function(t){return this._validate(t,this.minMonth,this.minDay,n.local.invalidYear),360},daysInMonth:function(t,e){return this._validate(t,e,this.minDay,n.local.invalidMonth),20},daysInWeek:function(){return 5},dayOfWeek:function(t,e,r){return this._validate(t,e,r,n.local.invalidDate).day()},weekDay:function(t,e,r){return 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o=n.instance(\"gregorian\");i(a.prototype,{name:\"Nanakshahi\",jdEpoch:2257673.5,daysPerMonth:[31,31,31,31,31,30,30,30,30,30,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,regionalOptions:{\"\":{name:\"Nanakshahi\",epochs:[\"BN\",\"AN\"],monthNames:[\"Chet\",\"Vaisakh\",\"Jeth\",\"Harh\",\"Sawan\",\"Bhadon\",\"Assu\",\"Katak\",\"Maghar\",\"Poh\",\"Magh\",\"Phagun\"],monthNamesShort:[\"Che\",\"Vai\",\"Jet\",\"Har\",\"Saw\",\"Bha\",\"Ass\",\"Kat\",\"Mgr\",\"Poh\",\"Mgh\",\"Pha\"],dayNames:[\"Somvaar\",\"Mangalvar\",\"Budhvaar\",\"Veervaar\",\"Shukarvaar\",\"Sanicharvaar\",\"Etvaar\"],dayNamesShort:[\"Som\",\"Mangal\",\"Budh\",\"Veer\",\"Shukar\",\"Sanichar\",\"Et\"],dayNamesMin:[\"So\",\"Ma\",\"Bu\",\"Ve\",\"Sh\",\"Sa\",\"Et\"],digits:null,dateFormat:\"dd-mm-yyyy\",firstDay:0,isRTL:!1}},leapYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear||n.regionalOptions[\"\"].invalidYear);return o.leapYear(e.year()+(e.year()<1?1:0)+1469)},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(1-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidMonth);(t=i.year())<0&&t++;for(var a=i.day(),s=1;s<i.month();s++)a+=this.daysPerMonth[s-1];return a+o.toJD(t+1468,3,13)},fromJD:function(t){t=Math.floor(t+.5);for(var e=Math.floor((t-(this.jdEpoch-1))/366);t>=this.toJD(e+1,1,1);)e++;for(var r=t-Math.floor(this.toJD(e,1,1)+.5)+1,n=1;r>this.daysInMonth(e,n);)r-=this.daysInMonth(e,n),n++;return this.newDate(e,n,r)}}),n.calendars.nanakshahi=a},73040:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new n.baseCalendar,i(a.prototype,{name:\"Nepali\",jdEpoch:1700709.5,daysPerMonth:[31,31,32,32,31,30,30,29,30,29,30,30],hasYearZero:!1,minMonth:1,firstMonth:1,minDay:1,daysPerYear:365,regionalOptions:{\"\":{name:\"Nepali\",epochs:[\"BBS\",\"ABS\"],monthNames:[\"Baisakh\",\"Jestha\",\"Ashadh\",\"Shrawan\",\"Bhadra\",\"Ashwin\",\"Kartik\",\"Mangsir\",\"Paush\",\"Mangh\",\"Falgun\",\"Chaitra\"],monthNamesShort:[\"Bai\",\"Je\",\"As\",\"Shra\",\"Bha\",\"Ash\",\"Kar\",\"Mang\",\"Pau\",\"Ma\",\"Fal\",\"Chai\"],dayNames:[\"Aaitabaar\",\"Sombaar\",\"Manglbaar\",\"Budhabaar\",\"Bihibaar\",\"Shukrabaar\",\"Shanibaar\"],dayNamesShort:[\"Aaita\",\"Som\",\"Mangl\",\"Budha\",\"Bihi\",\"Shukra\",\"Shani\"],dayNamesMin:[\"Aai\",\"So\",\"Man\",\"Bu\",\"Bi\",\"Shu\",\"Sha\"],digits:null,dateFormat:\"dd/mm/yyyy\",firstDay:1,isRTL:!1}},leapYear:function(t){return this.daysInYear(t)!==this.daysPerYear},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-n.dayOfWeek(),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInYear:function(t){if(t=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear).year(),void 0===this.NEPALI_CALENDAR_DATA[t])return this.daysPerYear;for(var e=0,r=this.minMonth;r<=12;r++)e+=this.NEPALI_CALENDAR_DATA[t][r];return e},daysInMonth:function(t,e){return t.year&&(e=t.month(),t=t.year()),this._validate(t,e,this.minDay,n.local.invalidMonth),void 0===this.NEPALI_CALENDAR_DATA[t]?this.daysPerMonth[e-1]:this.NEPALI_CALENDAR_DATA[t][e]},weekDay:function(t,e,r){return 6!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=n.instance(),o=0,s=e,l=t;this._createMissingCalendarData(t);var u=t-(s>9||9===s&&r>=this.NEPALI_CALENDAR_DATA[l][0]?56:57);for(9!==e&&(o=r,s--);9!==s;)s<=0&&(s=12,l--),o+=this.NEPALI_CALENDAR_DATA[l][s],s--;return 9===e?(o+=r-this.NEPALI_CALENDAR_DATA[l][0])<0&&(o+=a.daysInYear(u)):o+=this.NEPALI_CALENDAR_DATA[l][9]-this.NEPALI_CALENDAR_DATA[l][0],a.newDate(u,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 u=this.NEPALI_CALENDAR_DATA[a][o]-(l-i);return this.newDate(a,o,u)},_createMissingCalendarData:function(t){var e=this.daysPerMonth.slice(0);e.unshift(17);for(var r=t-1;r<t+2;r++)void 0===this.NEPALI_CALENDAR_DATA[r]&&(this.NEPALI_CALENDAR_DATA[r]=e)},NEPALI_CALENDAR_DATA:{1970:[18,31,31,32,31,31,31,30,29,30,29,30,30],1971:[18,31,31,32,31,32,30,30,29,30,29,30,30],1972:[17,31,32,31,32,31,30,30,30,29,29,30,30],1973:[19,30,32,31,32,31,30,30,30,29,30,29,31],1974:[19,31,31,32,30,31,31,30,29,30,29,30,30],1975:[18,31,31,32,32,30,31,30,29,30,29,30,30],1976:[17,31,32,31,32,31,30,30,30,29,29,30,31],1977:[18,31,32,31,32,31,31,29,30,29,30,29,31],1978:[18,31,31,32,31,31,31,30,29,30,29,30,30],1979:[18,31,31,32,32,31,30,30,29,30,29,30,30],1980:[17,31,32,31,32,31,30,30,30,29,29,30,31],1981:[18,31,31,31,32,31,31,29,30,30,29,30,30],1982:[18,31,31,32,31,31,31,30,29,30,29,30,30],1983:[18,31,31,32,32,31,30,30,29,30,29,30,30],1984:[17,31,32,31,32,31,30,30,30,29,29,30,31],1985:[18,31,31,31,32,31,31,29,30,30,29,30,30],1986:[18,31,31,32,31,31,31,30,29,30,29,30,30],1987:[18,31,32,31,32,31,30,30,29,30,29,30,30],1988:[17,31,32,31,32,31,30,30,30,29,29,30,31],1989:[18,31,31,31,32,31,31,30,29,30,29,30,30],1990:[18,31,31,32,31,31,31,30,29,30,29,30,30],1991:[18,31,32,31,32,31,30,30,29,30,29,30,30],1992:[17,31,32,31,32,31,30,30,30,29,30,29,31],1993:[18,31,31,31,32,31,31,30,29,30,29,30,30],1994:[18,31,31,32,31,31,31,30,29,30,29,30,30],1995:[17,31,32,31,32,31,30,30,30,29,29,30,30],1996:[17,31,32,31,32,31,30,30,30,29,30,29,31],1997:[18,31,31,32,31,31,31,30,29,30,29,30,30],1998:[18,31,31,32,31,31,31,30,29,30,29,30,30],1999:[17,31,32,31,32,31,30,30,30,29,29,30,31],2e3:[17,30,32,31,32,31,30,30,30,29,30,29,31],2001:[18,31,31,32,31,31,31,30,29,30,29,30,30],2002:[18,31,31,32,32,31,30,30,29,30,29,30,30],2003:[17,31,32,31,32,31,30,30,30,29,29,30,31],2004:[17,30,32,31,32,31,30,30,30,29,30,29,31],2005:[18,31,31,32,31,31,31,30,29,30,29,30,30],2006:[18,31,31,32,32,31,30,30,29,30,29,30,30],2007:[17,31,32,31,32,31,30,30,30,29,29,30,31],2008:[17,31,31,31,32,31,31,29,30,30,29,29,31],2009:[18,31,31,32,31,31,31,30,29,30,29,30,30],2010:[18,31,31,32,32,31,30,30,29,30,29,30,30],2011:[17,31,32,31,32,31,30,30,30,29,29,30,31],2012:[17,31,31,31,32,31,31,29,30,30,29,30,30],2013:[18,31,31,32,31,31,31,30,29,30,29,30,30],2014:[18,31,31,32,32,31,30,30,29,30,29,30,30],2015:[17,31,32,31,32,31,30,30,30,29,29,30,31],2016:[17,31,31,31,32,31,31,29,30,30,29,30,30],2017:[18,31,31,32,31,31,31,30,29,30,29,30,30],2018:[18,31,32,31,32,31,30,30,29,30,29,30,30],2019:[17,31,32,31,32,31,30,30,30,29,30,29,31],2020:[17,31,31,31,32,31,31,30,29,30,29,30,30],2021:[18,31,31,32,31,31,31,30,29,30,29,30,30],2022:[17,31,32,31,32,31,30,30,30,29,29,30,30],2023:[17,31,32,31,32,31,30,30,30,29,30,29,31],2024:[17,31,31,31,32,31,31,30,29,30,29,30,30],2025:[18,31,31,32,31,31,31,30,29,30,29,30,30],2026:[17,31,32,31,32,31,30,30,30,29,29,30,31],2027:[17,30,32,31,32,31,30,30,30,29,30,29,31],2028:[17,31,31,32,31,31,31,30,29,30,29,30,30],2029:[18,31,31,32,31,32,30,30,29,30,29,30,30],2030:[17,31,32,31,32,31,30,30,30,30,30,30,31],2031:[17,31,32,31,32,31,31,31,31,31,31,31,31],2032:[17,32,32,32,32,32,32,32,32,32,32,32,32],2033:[18,31,31,32,32,31,30,30,29,30,29,30,30],2034:[17,31,32,31,32,31,30,30,30,29,29,30,31],2035:[17,30,32,31,32,31,31,29,30,30,29,29,31],2036:[17,31,31,32,31,31,31,30,29,30,29,30,30],2037:[18,31,31,32,32,31,30,30,29,30,29,30,30],2038:[17,31,32,31,32,31,30,30,30,29,29,30,31],2039:[17,31,31,31,32,31,31,29,30,30,29,30,30],2040:[17,31,31,32,31,31,31,30,29,30,29,30,30],2041:[18,31,31,32,32,31,30,30,29,30,29,30,30],2042:[17,31,32,31,32,31,30,30,30,29,29,30,31],2043:[17,31,31,31,32,31,31,29,30,30,29,30,30],2044:[17,31,31,32,31,31,31,30,29,30,29,30,30],2045:[18,31,32,31,32,31,30,30,29,30,29,30,30],2046:[17,31,32,31,32,31,30,30,30,29,29,30,31],2047:[17,31,31,31,32,31,31,30,29,30,29,30,30],2048:[17,31,31,32,31,31,31,30,29,30,29,30,30],2049:[17,31,32,31,32,31,30,30,30,29,29,30,30],2050:[17,31,32,31,32,31,30,30,30,29,30,29,31],2051:[17,31,31,31,32,31,31,30,29,30,29,30,30],2052:[17,31,31,32,31,31,31,30,29,30,29,30,30],2053:[17,31,32,31,32,31,30,30,30,29,29,30,30],2054:[17,31,32,31,32,31,30,30,30,29,30,29,31],2055:[17,31,31,32,31,31,31,30,29,30,30,29,30],2056:[17,31,31,32,31,32,30,30,29,30,29,30,30],2057:[17,31,32,31,32,31,30,30,30,29,29,30,31],2058:[17,30,32,31,32,31,30,30,30,29,30,29,31],2059:[17,31,31,32,31,31,31,30,29,30,29,30,30],2060:[17,31,31,32,32,31,30,30,29,30,29,30,30],2061:[17,31,32,31,32,31,30,30,30,29,29,30,31],2062:[17,30,32,31,32,31,31,29,30,29,30,29,31],2063:[17,31,31,32,31,31,31,30,29,30,29,30,30],2064:[17,31,31,32,32,31,30,30,29,30,29,30,30],2065:[17,31,32,31,32,31,30,30,30,29,29,30,31],2066:[17,31,31,31,32,31,31,29,30,30,29,29,31],2067:[17,31,31,32,31,31,31,30,29,30,29,30,30],2068:[17,31,31,32,32,31,30,30,29,30,29,30,30],2069:[17,31,32,31,32,31,30,30,30,29,29,30,31],2070:[17,31,31,31,32,31,31,29,30,30,29,30,30],2071:[17,31,31,32,31,31,31,30,29,30,29,30,30],2072:[17,31,32,31,32,31,30,30,29,30,29,30,30],2073:[17,31,32,31,32,31,30,30,30,29,29,30,31],2074:[17,31,31,31,32,31,31,30,29,30,29,30,30],2075:[17,31,31,32,31,31,31,30,29,30,29,30,30],2076:[16,31,32,31,32,31,30,30,30,29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e=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return 682*((e.year()-(e.year()>0?474:473))%2820+474+38)%2816<682},weekOfYear:function(t,e,r){var n=this.newDate(t,e,r);return n.add(-(n.dayOfWeek()+1)%7,\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(12===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return 5!==this.dayOfWeek(t,e,r)},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);t=i.year(),e=i.month(),r=i.day();var a=t-(t>=0?474:473),s=474+o(a,2820);return r+(e<=7?31*(e-1):30*(e-1)+6)+Math.floor((682*s-110)/2816)+365*(s-1)+1029983*Math.floor(a/2820)+this.jdEpoch-1},fromJD:function(t){var e=(t=Math.floor(t)+.5)-this.toJD(475,1,1),r=Math.floor(e/1029983),n=o(e,1029983),i=2820;if(1029982!==n){var a=Math.floor(n/366),s=o(n,366);i=Math.floor((2134*a+2816*s+2815)/1028522)+a+1}var l=i+2820*r+474;l=l<=0?l-1:l;var 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)},_g2tYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)}}),n.calendars.taiwan=o},4592:function(t,e,r){var n=r(38700),i=r(50896),a=n.instance();function o(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}o.prototype=new 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i=this._validate(t,this.minMonth,this.minDay,n.local.invalidYear);return t=this._t2gYear(i.year()),a.weekOfYear(t,i.month(),i.day())},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,n.local.invalidMonth);return this.daysPerMonth[r.month()-1]+(2===r.month()&&this.leapYear(r.year())?1:0)},weekDay:function(t,e,r){return(this.dayOfWeek(t,e,r)||7)<6},toJD:function(t,e,r){var i=this._validate(t,e,r,n.local.invalidDate);return t=this._t2gYear(i.year()),a.toJD(t,i.month(),i.day())},fromJD:function(t){var e=a.fromJD(t),r=this._g2tYear(e.year());return this.newDate(r,e.month(),e.day())},_t2gYear:function(t){return t-this.yearsOffset-(t>=1&&t<=this.yearsOffset?1:0)},_g2tYear:function(t){return t+this.yearsOffset+(t>=-this.yearsOffset&&t<=-1?1:0)}}),n.calendars.thai=o},45348:function(t,e,r){var n=r(38700),i=r(50896);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n=r(50896);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(u.local.invalidDate||u.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(u.local.invalidDate||u.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(u.local.differentCalendars||u.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,u.local.invalidDate||u.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,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear).year()<0?this.local.epochs[0]:this.local.epochs[1]},formatYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return(e.year()<0?\"-\":\"\")+o(Math.abs(e.year()),4)},monthsInYear:function(t){return this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear),12},monthOfYear:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.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,u.local.invalidMonth||u.regionalOptions[\"\"].invalidMonth),r},daysInYear:function(t){var e=this._validate(t,this.minMonth,this.minDay,u.local.invalidYear||u.regionalOptions[\"\"].invalidYear);return this.leapYear(e)?366:365},dayOfYear:function(t,e,r){var n=this._validate(t,e,r,u.local.invalidDate||u.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,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);return(Math.floor(this.toJD(n))+2)%this.daysInWeek()},extraInfo:function(t,e,r){return this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),{}},add:function(t,e,r){return this._validate(t,this.minMonth,this.minDay,u.local.invalidDate||u.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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n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate),i=new Date(n.year(),n.month()-1,n.day());return i.setHours(0),i.setMinutes(0),i.setSeconds(0),i.setMilliseconds(0),i.setHours(i.getHours()>12?i.getHours()+2:0),i},fromJSDate:function(t){return this.newDate(t.getFullYear(),t.getMonth()+1,t.getDate())}});var u=t.exports=new i;u.cdate=a,u.baseCalendar=s,u.calendars.gregorian=l},15168:function(t,e,r){var n=r(50896),i=r(38700);n(i.regionalOptions[\"\"],{invalidArguments:\"Invalid arguments\",invalidFormat:\"Cannot format a date from another calendar\",missingNumberAt:\"Missing number at position {0}\",unknownNameAt:\"Unknown name at position {0}\",unexpectedLiteralAt:\"Unexpected literal at position {0}\",unexpectedText:\"Additional text found at end\"}),i.local=i.regionalOptions[\"\"],n(i.cdate.prototype,{formatDate:function(t,e){return\"string\"!=typeof 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     },
     "metadata": {},
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   ],
   "source": [
    "def on_change(change):\n",
    "    if change['type'] == 'change' and change['name'] == 'value':\n",
    "        clear_output(wait=True)\n",
    "\n",
    "        dropdown = Dropdown(options=cluster_names, description='Select Cluster')\n",
    "        dropdown.observe(on_change)\n",
    "        display(VBox([dropdown]))\n",
    "\n",
    "        plot_cluster(change['new'])\n",
    "\n",
    "def plot_cluster(cluster_name):\n",
    "    fig = px.line_3d()\n",
    "\n",
    "    cluster_df = ca_coordinate_df.query('cluster_name == @cluster_name')\n",
    "    for _, cdr_loop in cluster_df.groupby('name'):\n",
    "        fig.add_scatter3d(x=cdr_loop['ca_coordinate_x'],\n",
    "                          y=cdr_loop['ca_coordinate_y'],\n",
    "                          z=cdr_loop['ca_coordinate_z'],\n",
    "                          mode='lines',\n",
    "                          line=dict(color='green'),\n",
    "                          showlegend=False)\n",
    "\n",
    "    fig.update_layout(title=cluster_name)\n",
    "    fig.show()\n",
    "\n",
    "cluster_names = ca_coordinate_df['cluster_name'].unique().tolist()\n",
    "\n",
    "dropdown = Dropdown(options=cluster_names, description='Select Cluster')\n",
    "dropdown.observe(on_change)\n",
    "display(VBox([dropdown]))\n",
    "\n",
    "plot_cluster(cluster_names[0])"
   ]
  }
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