{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1ed2f1df",
   "metadata": {},
   "source": [
    "# Case study: re-analysis of frog (*Xenopus tropicalis*) embryogenesis single-cell data\n",
    "\n",
    "This notebook will demonstrate scRNA-seq processing with `oggmap` using frog scRNA data from ([Briggs et al. 2018](https://doi.org/10.1126/science.aar5780); [Qiu et al., 2022](https://doi.org/10.1038/s41588-022-01018-x)).\n",
    "\n",
    "scRNA data were obtained from http://tome.gs.washington.edu/, converted into Scanpy `AnnData` objects ([Wolf et al., 2018](https://doi.org/10.1186/s13059-017-1382-0)) and are availabe here:\n",
    "\n",
    "https://zenodo.org/record/7244441\n",
    "\n",
    "or can be accessed with the `dataset` submodule of `oggmap`\n",
    "\n",
    "`datasets.qiu22_frog(datapath='data')` (download folder set to `'data'`)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "430f6edf",
   "metadata": {},
   "source": [
    "## Notebook file\n",
    "\n",
    "Notebook file can be obtained here:\n",
    "\n",
    "[https://raw.githubusercontent.com/kullrich/oggmap/main/docs/notebooks/frog_example.ipynb](https://raw.githubusercontent.com/kullrich/oggmap/main/docs/notebooks/frog_example.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fe289623",
   "metadata": {},
   "source": [
    "## Steps\n",
    "\n",
    "To process the scRNA data, we will do the following:\n",
    "\n",
    "0. Run OrthoFinder to obtain orthogroups\n",
    "1. Get query species taxonomic lineage information\n",
    "2. Get query species orthomap\n",
    "3. Map OrthoFinder gene names and scRNA gene/transcript names\n",
    "4. Get TEI values and add them to scRNA dataset\n",
    "5. Get partial TEI values to visualize gene age class contributions\n",
    "6. Process scRNA data and visualize TEI"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2438b931",
   "metadata": {},
   "source": [
    "## Import libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "93be30da",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import scanpy as sc\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from statannot import add_stat_annotation\n",
    "# increase dpi\n",
    "%matplotlib inline\n",
    "#plt.rcParams['figure.dpi'] = 300\n",
    "#plt.rcParams['savefig.dpi'] = 300\n",
    "plt.rcParams['figure.figsize'] = [6, 4.5]\n",
    "#plt.rcParams['figure.figsize'] = [4.4, 3.3]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f668016",
   "metadata": {},
   "source": [
    "## Import oggmap python package submodules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "03b368f2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# import submodules\n",
    "from oggmap import qlin, gtf2t2g, of2orthomap, orthomap2tei, datasets"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "93f67241",
   "metadata": {},
   "source": [
    "## Step 0 - run OrthoFinder to obtain orthogroups\n",
    "\n",
    "`oggmap` can extract gene age classification from existing OrthoFinder results and link them with scRNA data.\n",
    "\n",
    "A detailed how-to is available here:\n",
    "\n",
    "https://oggmap.readthedocs.io/en/latest/tutorials/orthofinder.html\n",
    "\n",
    "However, any pre-calculated gene age classification can be imported as a table using the function `orthomap2tei.read_orthomap(orthomapfile=filename)`.\n",
    "\n",
    "The pre-calculated gene age classification file should be <tab> delimited with two columns `GeneID<tab>Phylostratum`, like e.g.:\n",
    "    \n",
    "```\n",
    "GeneID<tab>Phylostratum\n",
    "WBGene00000001<tab>1\n",
    "WBGene00000002<tab>1\n",
    "WBGene00000003<tab>1\n",
    "WBGene00000004<tab>1\n",
    "WBGene00000005<tab>2\n",
    "```\n",
    "\n",
    "OrthoFinder ([Emms and Kelly, 2019](https://doi.org/10.1186/s13059-019-1832-y)) results (-S last) using translated, longest-isoform coding sequences (CDS) from [Ensembl release-110](https://ftp.ensembl.org/pub/release-110/), including species taxonomic IDs, are available here: \n",
    "\n",
    "https://doi.org/10.5281/zenodo.7242264\n",
    "\n",
    "or can be accessed with the `dataset` submodule of `oggmap`\n",
    "\n",
    "`datasets.ensembl110_last(datapath='data')` (download folder set to `'data'`).\n",
    "\n",
    "To be able to process the scRNA data from [Briggs et al. 2018](https://doi.org/10.1126/science.aar5780) the OrthoFinder run for [Ensembl release-110](https://ftp.ensembl.org/pub/release-110/) was supplemented with the gene models of *X. tropicalis* v9.0 [https://ftp.xenbase.org/pub/Genomics/JGI/Xentr9.0/Xtropicalisv9.0.Named.primaryTrs.pep.fa.gz](https://ftp.xenbase.org/pub/Genomics/JGI/Xentr9.0/Xtropicalisv9.0.Named.primaryTrs.pep.fa.gz).\n",
    "\n",
    "This use case show that with OrthoFinder it is possible to add any new annotation as a new entry and use it with `oggmap` to extract the correspoding gene age assignments."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "52a4f2ca",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "100% [..........................................................] 11317 / 11317"
     ]
    },
    {
     "data": {
      "text/plain": [
       "['data/ensembl_110_orthofinder_last_Orthogroups.GeneCount.tsv.zip',\n",
       " 'data/ensembl_110_orthofinder_last_Orthogroups.tsv.zip',\n",
       " 'data/ensembl_110_orthofinder_last_species_list.tsv']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datasets.ensembl110_last(datapath='data')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e49383e",
   "metadata": {},
   "source": [
    "## Step 1 - get query species taxonomic lineage information\n",
    "\n",
    "Given a species name or taxonomic ID, the query species lineage information is extracted with the help of the `ete3` python toolkit and the `NCBI taxonomy` ([Huerta-Cepas et al., 2016](https://doi.org/10.1093/molbev/msw046)). This information is needed alongside with the taxonomic classifications for all species used in the OrthoFinder comparison.\n",
    "\n",
    "The `oggmap` submodule `qlin` helps to get this information for you with the `qlin.get_qlin()` function as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ad2895ca",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "query name: Xenopus tropicalis\n",
      "query taxID: 8364\n",
      "query kingdom: Eukaryota\n",
      "query lineage names: \n",
      "['root(1)', 'cellular organisms(131567)', 'Eukaryota(2759)', 'Opisthokonta(33154)', 'Metazoa(33208)', 'Eumetazoa(6072)', 'Bilateria(33213)', 'Deuterostomia(33511)', 'Chordata(7711)', 'Craniata(89593)', 'Vertebrata(7742)', 'Gnathostomata(7776)', 'Teleostomi(117570)', 'Euteleostomi(117571)', 'Sarcopterygii(8287)', 'Dipnotetrapodomorpha(1338369)', 'Tetrapoda(32523)', 'Amphibia(8292)', 'Batrachia(41666)', 'Anura(8342)', 'Pipoidea(30319)', 'Pipidae(8352)', 'Xenopodinae(8360)', 'Xenopus(8353)', 'Silurana(8363)', 'Xenopus tropicalis(8364)']\n",
      "query lineage: \n",
      "[1, 131567, 2759, 33154, 33208, 6072, 33213, 33511, 7711, 89593, 7742, 7776, 117570, 117571, 8287, 1338369, 32523, 8292, 41666, 8342, 30319, 8352, 8360, 8353, 8363, 8364]\n"
     ]
    }
   ],
   "source": [
    "# get query species taxonomic lineage information\n",
    "query_lineage = qlin.get_qlin(q='Xenopus tropicalis')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94660652",
   "metadata": {},
   "source": [
    "## Step 2 - gene age class assignment (query species orthomap)\n",
    "\n",
    "Here, `oggmap` use the query species information and OrthoFinder results to extract the oldest common tree node per orthogroup along a species tree and to assign this node as the gene age to the corresponding genes.\n",
    "\n",
    "In a pairwise manner, the query species and any other species in the OrthoFinder result might share multiple tree nodes down to the root of the species tree, but have only one youngest tree node in common. Among all possible comparison between the query species and the other species, the oldest as defined by the species tree root is seected and used for the gene age assignment.\n",
    "\n",
    "Given the `query species sequence name` (`seqname=`) used in the OrthoFinder comparison, the `query species taxonomic ID`(`qt=`), the `taxonomic IDs of all species` (`sl=`) used in the OrthoFinder comparison, the `orthogroup gene count` (`oc=`) results and the `orthogroups` (`og=`), an orthomap is constructed.\n",
    "\n",
    "__Note:__ This step can take up to five minutes, depending on your hardware.\n",
    "\n",
    "For this step to get the query species orthomap, one uses the `of2orthomap.get_orthomap()` function, like:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a98dee28",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Xtropicalisv9.0.Named.primaryTrs.pep\n",
      "Xenopus tropicalis\n",
      "8364\n",
      "                                    species  taxID  \\\n",
      "0                 10020.dipodomys_ordii.pep  10020   \n",
      "1    10029.cricetulus_griseus_chok1gshd.pep  10029   \n",
      "2       10029.cricetulus_griseus_crigri.pep  10029   \n",
      "3         10029.cricetulus_griseus_picr.pep  10029   \n",
      "4            10036.mesocricetus_auratus.pep  10036   \n",
      "..                                      ...    ...   \n",
      "313          9986.oryctolagus_cuniculus.pep   9986   \n",
      "314        99883.tetraodon_nigroviridis.pep  99883   \n",
      "315        9994.marmota_marmota_marmota.pep   9994   \n",
      "316            9999.urocitellus_parryii.pep   9999   \n",
      "317    Xtropicalisv9.0.Named.primaryTrs.pep   8364   \n",
      "\n",
      "                                               lineage  youngest_common  \\\n",
      "0    [1, 131567, 2759, 33154, 33208, 6072, 33213, 3...            32523   \n",
      "1    [1, 131567, 2759, 33154, 33208, 6072, 33213, 3...            32523   \n",
      "2    [1, 131567, 2759, 33154, 33208, 6072, 33213, 3...            32523   \n",
      "3    [1, 131567, 2759, 33154, 33208, 6072, 33213, 3...            32523   \n",
      "4    [1, 131567, 2759, 33154, 33208, 6072, 33213, 3...            32523   \n",
      "..                                                 ...              ...   \n",
      "313  [1, 131567, 2759, 33154, 33208, 6072, 33213, 3...            32523   \n",
      "314  [1, 131567, 2759, 33154, 33208, 6072, 33213, 3...           117571   \n",
      "315  [1, 131567, 2759, 33154, 33208, 6072, 33213, 3...            32523   \n",
      "316  [1, 131567, 2759, 33154, 33208, 6072, 33213, 3...            32523   \n",
      "317  [1, 131567, 2759, 33154, 33208, 6072, 33213, 3...             8364   \n",
      "\n",
      "          youngest_name  \n",
      "0             Tetrapoda  \n",
      "1             Tetrapoda  \n",
      "2             Tetrapoda  \n",
      "3             Tetrapoda  \n",
      "4             Tetrapoda  \n",
      "..                  ...  \n",
      "313           Tetrapoda  \n",
      "314        Euteleostomi  \n",
      "315           Tetrapoda  \n",
      "316           Tetrapoda  \n",
      "317  Xenopus tropicalis  \n",
      "\n",
      "[318 rows x 5 columns]\n"
     ]
    },
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>seqID</th>\n",
       "      <th>Orthogroup</th>\n",
       "      <th>PSnum</th>\n",
       "      <th>PStaxID</th>\n",
       "      <th>PSname</th>\n",
       "      <th>PScontinuity</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>LOC100485125</td>\n",
       "      <td>OG0000000</td>\n",
       "      <td>6</td>\n",
       "      <td>33213</td>\n",
       "      <td>Bilateria</td>\n",
       "      <td>0.777778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>LOC100485127</td>\n",
       "      <td>OG0000000</td>\n",
       "      <td>6</td>\n",
       "      <td>33213</td>\n",
       "      <td>Bilateria</td>\n",
       "      <td>0.777778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>LOC100485283</td>\n",
       "      <td>OG0000000</td>\n",
       "      <td>6</td>\n",
       "      <td>33213</td>\n",
       "      <td>Bilateria</td>\n",
       "      <td>0.777778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LOC100485369</td>\n",
       "      <td>OG0000000</td>\n",
       "      <td>6</td>\n",
       "      <td>33213</td>\n",
       "      <td>Bilateria</td>\n",
       "      <td>0.777778</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LOC100485372</td>\n",
       "      <td>OG0000000</td>\n",
       "      <td>6</td>\n",
       "      <td>33213</td>\n",
       "      <td>Bilateria</td>\n",
       "      <td>0.777778</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>24019</th>\n",
       "      <td>Xetrov90018953m</td>\n",
       "      <td>OG0037628</td>\n",
       "      <td>25</td>\n",
       "      <td>8364</td>\n",
       "      <td>Xenopus tropicalis</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24020</th>\n",
       "      <td>Xetrov90028748m</td>\n",
       "      <td>OG0037629</td>\n",
       "      <td>25</td>\n",
       "      <td>8364</td>\n",
       "      <td>Xenopus tropicalis</td>\n",
       "      <td>1.000000</td>\n",
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       "    <tr>\n",
       "      <th>24021</th>\n",
       "      <td>Xetrov90028749m</td>\n",
       "      <td>OG0037629</td>\n",
       "      <td>25</td>\n",
       "      <td>8364</td>\n",
       "      <td>Xenopus tropicalis</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24022</th>\n",
       "      <td>Xetrov90030626m</td>\n",
       "      <td>OG0037630</td>\n",
       "      <td>25</td>\n",
       "      <td>8364</td>\n",
       "      <td>Xenopus tropicalis</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24023</th>\n",
       "      <td>Xetrov90030627m</td>\n",
       "      <td>OG0037630</td>\n",
       "      <td>25</td>\n",
       "      <td>8364</td>\n",
       "      <td>Xenopus tropicalis</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>24024 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 seqID Orthogroup  PSnum PStaxID              PSname  \\\n",
       "0         LOC100485125  OG0000000      6   33213           Bilateria   \n",
       "1         LOC100485127  OG0000000      6   33213           Bilateria   \n",
       "2         LOC100485283  OG0000000      6   33213           Bilateria   \n",
       "3         LOC100485369  OG0000000      6   33213           Bilateria   \n",
       "4         LOC100485372  OG0000000      6   33213           Bilateria   \n",
       "...                ...        ...    ...     ...                 ...   \n",
       "24019  Xetrov90018953m  OG0037628     25    8364  Xenopus tropicalis   \n",
       "24020  Xetrov90028748m  OG0037629     25    8364  Xenopus tropicalis   \n",
       "24021  Xetrov90028749m  OG0037629     25    8364  Xenopus tropicalis   \n",
       "24022  Xetrov90030626m  OG0037630     25    8364  Xenopus tropicalis   \n",
       "24023  Xetrov90030627m  OG0037630     25    8364  Xenopus tropicalis   \n",
       "\n",
       "       PScontinuity  \n",
       "0          0.777778  \n",
       "1          0.777778  \n",
       "2          0.777778  \n",
       "3          0.777778  \n",
       "4          0.777778  \n",
       "...             ...  \n",
       "24019      1.000000  \n",
       "24020      1.000000  \n",
       "24021      1.000000  \n",
       "24022      1.000000  \n",
       "24023      1.000000  \n",
       "\n",
       "[24024 rows x 6 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get query species orthomap\n",
    "\n",
    "# download orthofinder results here: https://doi.org/10.5281/zenodo.7242264\n",
    "# or download with datasets.ensembl110_last('data')\n",
    "query_orthomap, orthofinder_species_list, of_species_abundance = of2orthomap.get_orthomap(\n",
    "    seqname='Xtropicalisv9.0.Named.primaryTrs.pep',\n",
    "    qt='8364',\n",
    "    sl='data/ensembl_110_orthofinder_last_species_list.tsv',\n",
    "    oc='data/ensembl_110_orthofinder_last_Orthogroups.GeneCount.tsv.zip',\n",
    "    og='data/ensembl_110_orthofinder_last_Orthogroups.tsv.zip',\n",
    "    continuity=True)\n",
    "query_orthomap"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1c66adf",
   "metadata": {},
   "source": [
    "### Gene age assignments per query species lineage node\n",
    "\n",
    "Given an orthomap, one can get an overview of the gene age assignments per query species lineage node.\n",
    "\n",
    "The `oggmap` submodule `of2orhomap` and the `of2orthomap.get_counts_per_ps()` function will show the distribution of the gene age classes and can be further visualized as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "6106d744",
   "metadata": {},
   "outputs": [
    {
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       "      <td>3912</td>\n",
       "      <td>33154</td>\n",
       "      <td>Opisthokonta</td>\n",
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       "      <th>6</th>\n",
       "      <td>6</td>\n",
       "      <td>9106</td>\n",
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       "      <td>Bilateria</td>\n",
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       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>2399</td>\n",
       "      <td>7711</td>\n",
       "      <td>Chordata</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>2325</td>\n",
       "      <td>7742</td>\n",
       "      <td>Vertebrata</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>1532</td>\n",
       "      <td>7776</td>\n",
       "      <td>Gnathostomata</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>783</td>\n",
       "      <td>117571</td>\n",
       "      <td>Euteleostomi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>51</td>\n",
       "      <td>8287</td>\n",
       "      <td>Sarcopterygii</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16</td>\n",
       "      <td>260</td>\n",
       "      <td>32523</td>\n",
       "      <td>Tetrapoda</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>19</td>\n",
       "      <td>403</td>\n",
       "      <td>8342</td>\n",
       "      <td>Anura</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>25</td>\n",
       "      <td>3253</td>\n",
       "      <td>8364</td>\n",
       "      <td>Xenopus tropicalis</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       PSnum  counts PStaxID              PSname\n",
       "PSnum                                           \n",
       "3          3    3912   33154        Opisthokonta\n",
       "6          6    9106   33213           Bilateria\n",
       "8          8    2399    7711            Chordata\n",
       "10        10    2325    7742          Vertebrata\n",
       "11        11    1532    7776       Gnathostomata\n",
       "13        13     783  117571        Euteleostomi\n",
       "14        14      51    8287       Sarcopterygii\n",
       "16        16     260   32523           Tetrapoda\n",
       "19        19     403    8342               Anura\n",
       "25        25    3253    8364  Xenopus tropicalis"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# show count per taxonomic group (PStaxID)\n",
    "of2orthomap.get_counts_per_ps(query_orthomap)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab484988",
   "metadata": {},
   "source": [
    "### Visualize number of species along query lineage and counts per gene age class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "31e850cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot: >"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x450 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# show number of species along query lineage\n",
    "of_species_abundance\n",
    "\n",
    "# bar plot number of species along query lineage\n",
    "of_species_abundance.plot.bar(y='counts', use_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "73830dd3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x450 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# show count per taxonomic group (PStaxID)\n",
    "of2orthomap.get_counts_per_ps(query_orthomap)\n",
    "\n",
    "# bar plot count per taxonomic group (PSname)\n",
    "ax = of2orthomap.get_counts_per_ps(query_orthomap).plot.bar(y='counts', x='PSname')\n",
    "ax.set_title('D. rerio - Number of genes per gene age class')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5892cadf",
   "metadata": {},
   "source": [
    "## Step 3 - map OrthoFinder gene names and scRNA gene/transcript names\n",
    "\n",
    "To be able to link gene ages assignments from an orthomap and gene or transcript of scRNA dataset, one needs to check the overlap of the annotated gene names. With the `gtf2t2g` submodule of `oggmap` and the `gtf2t2g.parse_gtf()` function, one can extract gene and transcript names from a given gene feature file (`GTF`).\n",
    "\n",
    "Here, the gene models from *X. tropicalis* v9.0 were used and gene names already should overlap with the orthomap gene names ([Briggs et al. 2018](https://doi.org/10.1126/science.aar5780); [https://ftp.xenbase.org/pub/Genomics/JGI/Xentr9.0/Xtropicalisv9.0.Named.primaryTrs.pep.fa.gz](https://ftp.xenbase.org/pub/Genomics/JGI/Xentr9.0/Xtropicalisv9.0.Named.primaryTrs.pep.fa.gz)).\n",
    "\n",
    "If in your case gene or transcript IDs between an orthomap and scRNA data do not match directly, please have a look at a detailed how-to to match them:\n",
    "\n",
    "https://oggmap.readthedocs.io/en/latest/tutorials/geneset_overlap.html"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3da3e8ec",
   "metadata": {},
   "source": [
    "### Import now, the scRNA dataset of the query species\n",
    "\n",
    "Here, data is used, like in the publication ([Briggs et al. 2018](https://doi.org/10.1126/science.aar5780); [Qiu et al., 2022](https://doi.org/10.1038/s41588-022-01018-x)).\n",
    "\n",
    "scRNA data was downloaded from http://tome.gs.washington.edu/ as R rds files, combined into a single Seurat object and converted into loom and AnnData (h5ad) files to be able to analyse with e.g. python scanpy or `oggmap` package and is available here:\n",
    "\n",
    "https://doi.org/10.5281/zenodo.7244440\n",
    "\n",
    "or can be accessed with the `dataset` submodule of `oggmap`:\n",
    "\n",
    "`datasets.qiu22_frog(datapath='data')` (download folder set to `'data'`)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9c13c29a",
   "metadata": {},
   "outputs": [],
   "source": [
    "# load scRNA data\n",
    "\n",
    "# download zebrafish scRNA data here: https://doi.org/10.5281/zenodo.7244440\n",
    "# or download with datasets.qui22_frog(datapath='data')\n",
    "\n",
    "#frog_data = datasets.qiu22_zebrafish(datapath='data')\n",
    "frog_data = sc.read('data/frog_data.h5ad')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f21dcf3b",
   "metadata": {},
   "source": [
    "### Get an overview of observations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "bd460fe5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 123633 × 26550\n",
       "    obs: 'orig.ident', 'nCount_RNA', 'nFeature_RNA', 'sample', 'stage', 'group', 'cell_state', 'cell_type'\n",
       "    var: 'features', 'genes'"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "frog_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "a598338b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "        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>orig.ident</th>\n",
       "      <th>nCount_RNA</th>\n",
       "      <th>nFeature_RNA</th>\n",
       "      <th>sample</th>\n",
       "      <th>stage</th>\n",
       "      <th>group</th>\n",
       "      <th>cell_state</th>\n",
       "      <th>cell_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>S8_cell_1</th>\n",
       "      <td>cell</td>\n",
       "      <td>20658.0</td>\n",
       "      <td>5506</td>\n",
       "      <td>cell_1</td>\n",
       "      <td>S8</td>\n",
       "      <td>Clutch_1</td>\n",
       "      <td>S8:blastula</td>\n",
       "      <td>blastula</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S8_cell_2</th>\n",
       "      <td>cell</td>\n",
       "      <td>17002.0</td>\n",
       "      <td>5209</td>\n",
       "      <td>cell_2</td>\n",
       "      <td>S8</td>\n",
       "      <td>Clutch_1</td>\n",
       "      <td>S8:blastula</td>\n",
       "      <td>blastula</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S8_cell_3</th>\n",
       "      <td>cell</td>\n",
       "      <td>16190.0</td>\n",
       "      <td>4880</td>\n",
       "      <td>cell_3</td>\n",
       "      <td>S8</td>\n",
       "      <td>Clutch_1</td>\n",
       "      <td>S8:blastula</td>\n",
       "      <td>blastula</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S8_cell_4</th>\n",
       "      <td>cell</td>\n",
       "      <td>15652.0</td>\n",
       "      <td>4930</td>\n",
       "      <td>cell_4</td>\n",
       "      <td>S8</td>\n",
       "      <td>Clutch_1</td>\n",
       "      <td>S8:blastula</td>\n",
       "      <td>blastula</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S8_cell_5</th>\n",
       "      <td>cell</td>\n",
       "      <td>14325.0</td>\n",
       "      <td>4598</td>\n",
       "      <td>cell_5</td>\n",
       "      <td>S8</td>\n",
       "      <td>Clutch_1</td>\n",
       "      <td>S8:blastula</td>\n",
       "      <td>blastula</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S22_cell_136962</th>\n",
       "      <td>cell</td>\n",
       "      <td>1809.0</td>\n",
       "      <td>721</td>\n",
       "      <td>cell_136962</td>\n",
       "      <td>S22</td>\n",
       "      <td>Clutch_6</td>\n",
       "      <td>S22:somite</td>\n",
       "      <td>somite</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S22_cell_136963</th>\n",
       "      <td>cell</td>\n",
       "      <td>1575.0</td>\n",
       "      <td>789</td>\n",
       "      <td>cell_136963</td>\n",
       "      <td>S22</td>\n",
       "      <td>Clutch_6</td>\n",
       "      <td>S22:somite</td>\n",
       "      <td>somite</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S22_cell_136964</th>\n",
       "      <td>cell</td>\n",
       "      <td>1393.0</td>\n",
       "      <td>677</td>\n",
       "      <td>cell_136964</td>\n",
       "      <td>S22</td>\n",
       "      <td>Clutch_6</td>\n",
       "      <td>S22:intermediate mesoderm (ssg1+)</td>\n",
       "      <td>intermediate mesoderm (ssg1+)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S22_cell_136965</th>\n",
       "      <td>cell</td>\n",
       "      <td>1193.0</td>\n",
       "      <td>603</td>\n",
       "      <td>cell_136965</td>\n",
       "      <td>S22</td>\n",
       "      <td>Clutch_6</td>\n",
       "      <td>S22:spinal cord</td>\n",
       "      <td>spinal cord</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S22_cell_136966</th>\n",
       "      <td>cell</td>\n",
       "      <td>811.0</td>\n",
       "      <td>516</td>\n",
       "      <td>cell_136966</td>\n",
       "      <td>S22</td>\n",
       "      <td>Clutch_6</td>\n",
       "      <td>S22:presomitic mesoderm</td>\n",
       "      <td>presomitic mesoderm</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>123633 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                orig.ident  nCount_RNA  nFeature_RNA       sample stage  \\\n",
       "S8_cell_1             cell     20658.0          5506       cell_1    S8   \n",
       "S8_cell_2             cell     17002.0          5209       cell_2    S8   \n",
       "S8_cell_3             cell     16190.0          4880       cell_3    S8   \n",
       "S8_cell_4             cell     15652.0          4930       cell_4    S8   \n",
       "S8_cell_5             cell     14325.0          4598       cell_5    S8   \n",
       "...                    ...         ...           ...          ...   ...   \n",
       "S22_cell_136962       cell      1809.0           721  cell_136962   S22   \n",
       "S22_cell_136963       cell      1575.0           789  cell_136963   S22   \n",
       "S22_cell_136964       cell      1393.0           677  cell_136964   S22   \n",
       "S22_cell_136965       cell      1193.0           603  cell_136965   S22   \n",
       "S22_cell_136966       cell       811.0           516  cell_136966   S22   \n",
       "\n",
       "                    group                         cell_state  \\\n",
       "S8_cell_1        Clutch_1                        S8:blastula   \n",
       "S8_cell_2        Clutch_1                        S8:blastula   \n",
       "S8_cell_3        Clutch_1                        S8:blastula   \n",
       "S8_cell_4        Clutch_1                        S8:blastula   \n",
       "S8_cell_5        Clutch_1                        S8:blastula   \n",
       "...                   ...                                ...   \n",
       "S22_cell_136962  Clutch_6                         S22:somite   \n",
       "S22_cell_136963  Clutch_6                         S22:somite   \n",
       "S22_cell_136964  Clutch_6  S22:intermediate mesoderm (ssg1+)   \n",
       "S22_cell_136965  Clutch_6                    S22:spinal cord   \n",
       "S22_cell_136966  Clutch_6            S22:presomitic mesoderm   \n",
       "\n",
       "                                     cell_type  \n",
       "S8_cell_1                             blastula  \n",
       "S8_cell_2                             blastula  \n",
       "S8_cell_3                             blastula  \n",
       "S8_cell_4                             blastula  \n",
       "S8_cell_5                             blastula  \n",
       "...                                        ...  \n",
       "S22_cell_136962                         somite  \n",
       "S22_cell_136963                         somite  \n",
       "S22_cell_136964  intermediate mesoderm (ssg1+)  \n",
       "S22_cell_136965                    spinal cord  \n",
       "S22_cell_136966            presomitic mesoderm  \n",
       "\n",
       "[123633 rows x 8 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "frog_data.obs"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "48a2403a",
   "metadata": {},
   "source": [
    "### Helper functions to match gene names\n",
    "\n",
    "The `orthomap2tei` submodule contains the `orthomap2tei.geneset_overlap()` helper function to check for gene name overlap between the constructed orthomap from `OrthoFinder` results and a given scRNA dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "039e0224",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>g1_g2_overlap</th>\n",
       "      <th>g1_ratio</th>\n",
       "      <th>g2_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>24023</td>\n",
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       "      <td>0.999958</td>\n",
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      ],
      "text/plain": [
       "   g1_g2_overlap  g1_ratio  g2_ratio\n",
       "0          24023  0.904821  0.999958"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# check overlap of orthomap <seqID> and scRNA data <var_names>\n",
    "orthomap2tei.geneset_overlap(frog_data.var_names, query_orthomap['seqID'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1deac01d",
   "metadata": {},
   "source": [
    "## Step 4 - Get TEI values and add them to scRNA dataset\n",
    "\n",
    "Since now the gene names correspond to each other in the orthomap and the scRNA `adata` object, one can calculate the transcriptome evolutionary index (`TEI`) and add them to the scRNA dataset (`adata` object).\n",
    "\n",
    "The `TEI` measure represents the weighted arithmetic mean (expression levels as weights for the phylostratum value) over all evolutionary age categories denoted as _phylostra_.\n",
    "\n",
    "${TEI_s = \\sum (e_{is} * ps_i) / \\sum e_{is}}$\n",
    "\n",
    ", where ${TEI_s}$ denotes the `TEI` value in developmental stage ${s, e_{is}}$ denotes the gene expression level of gene ${i}$ in stage ${s}$, and ${ps_i}$ denotes the corresponding phylostratum of gene ${i, i = 1,...,N}$ and ${N = total\\ number\\ of\\ genes}$.\n",
    "\n",
    "Note: If e.g. two different isoforms would fall into two different gene age classes, their gene ages might differ based on the oldest ortholog found in their corresponding orthologous groups. However, both isoforms share the same gene name and their gene ages would clash. In this case one can decide either to use the `keep='min'` or `keep='max'` gene age to be kept by the `get_tei` function, which defaults to keep in this cases the `keep='min'` or in other words the 'older' gene age."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "630ed001",
   "metadata": {},
   "source": [
    "To be able to re-use the original `count` data, they are added as a new `layer` to the `adata` object. This is useful because later on the `count` data can be used to extract either the relative expression per gene age class or re-calculate other metrics. \n",
    "\n",
    "This can be done either on un-normalized `counts`, on `normalized` and `log-transformed` data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "9ed51a60",
   "metadata": {},
   "outputs": [],
   "source": [
    "frog_data.layers['counts'] = frog_data.X"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c0dade4",
   "metadata": {},
   "source": [
    "### add TEI to adata object\n",
    "\n",
    "Using the submodule `orthomap2tei` from `oggmap` and the `orthomap2tei.get_tei()` function, transcriptome evolutionary index (`TEI`) values are calculated and directyl added to the existing `adata` object (`add_obs=True`).\n",
    "\n",
    "There are other options to e.g. not start from the `adata.X` `counts` but from another `layer` from the `adata` object, the default is to use the `adata.X` (`layer=None`). The values can be pre-processed by the `normalize_total` option and the `log1p` option.\n",
    "\n",
    "If `add_obs=True` the resulting `TEI` values are added to the existing `adata` object as a new observation with the name set with the `obs_name` option.\n",
    "\n",
    "If `add_var=True` the gene age values are added to the existing `adata` object as a new variable with the name set with the `var_name` option.\n",
    "\n",
    "__Note:__ Genes not assigned to any gene class will get a missing assignment.\n",
    "\n",
    "If one wants to calculate bootstrap `TEI` values per cell, the `boot` option can be set to `boot=True` and gene age classes will be randomly chosen prior calculating `TEI` values `bt=10` times."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "79917eeb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tei</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>S8_cell_1</th>\n",
       "      <td>6.149558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S8_cell_2</th>\n",
       "      <td>6.158777</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S8_cell_3</th>\n",
       "      <td>6.179419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S8_cell_4</th>\n",
       "      <td>6.107512</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S8_cell_5</th>\n",
       "      <td>6.119982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S22_cell_136962</th>\n",
       "      <td>5.089091</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S22_cell_136963</th>\n",
       "      <td>5.087404</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S22_cell_136964</th>\n",
       "      <td>5.009514</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S22_cell_136965</th>\n",
       "      <td>5.155880</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S22_cell_136966</th>\n",
       "      <td>5.133554</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>123633 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                      tei\n",
       "S8_cell_1        6.149558\n",
       "S8_cell_2        6.158777\n",
       "S8_cell_3        6.179419\n",
       "S8_cell_4        6.107512\n",
       "S8_cell_5        6.119982\n",
       "...                   ...\n",
       "S22_cell_136962  5.089091\n",
       "S22_cell_136963  5.087404\n",
       "S22_cell_136964  5.009514\n",
       "S22_cell_136965  5.155880\n",
       "S22_cell_136966  5.133554\n",
       "\n",
       "[123633 rows x 1 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# add TEI values to existing adata object\n",
    "orthomap2tei.get_tei(adata=frog_data,\n",
    "    gene_id=query_orthomap['seqID'],\n",
    "    gene_age=query_orthomap['PSnum'],\n",
    "    keep='min',\n",
    "    layer=None,\n",
    "    add_var=True,\n",
    "    var_name='Phylostrata',\n",
    "    add_obs=True,\n",
    "    obs_name='tei',\n",
    "    boot=False,\n",
    "    bt=10,\n",
    "    normalize_total=True,\n",
    "    log1p=True,\n",
    "    target_sum=1e6)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f3f77b9",
   "metadata": {},
   "source": [
    "## Step 5 - downstream analysis\n",
    "\n",
    "Once the gene age data has been added to the scRNA dataset, one can e.g. plot the corresponding transcriptome evolutionary index (`TEI`) values by any given observation pre-defined in the scRNA dataset.\n",
    "\n",
    "Here, we plot them against the assigned embryo stage and against assigned cell types of the zebrafish using the `scanpy` `sc.pl.violin()` function as follows:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce70353d",
   "metadata": {},
   "source": [
    "### Boxplot gene age class per sample timepoint"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "62992ce0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 747.4x450 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.pl.violin(adata=frog_data,\n",
    "             keys=['tei'],\n",
    "             groupby='stage',\n",
    "             rotation=90,\n",
    "             palette='Paired',\n",
    "             stripplot=False,\n",
    "             inner='box')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4aa9d81e",
   "metadata": {},
   "source": [
    "To alter ylim do:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "333c18dd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x450 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots()\n",
    "sc.pl.violin(adata=frog_data,\n",
    "             keys=['tei'],\n",
    "             groupby='stage',\n",
    "             rotation=90,\n",
    "             palette='Paired',\n",
    "             stripplot=False,\n",
    "             inner='box',\n",
    "             ax=ax,\n",
    "             show=False)\n",
    "ax.set_ylim(5, 7)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac260417",
   "metadata": {},
   "source": [
    "### Boxplot gene age class per embryo stage and per cell type"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "177f030f",
   "metadata": {},
   "source": [
    "E.g. to just show the same plot for a selected cell-type, one could do the following.\n",
    "\n",
    "1. List all annotated cell types:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "5f20a617",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['optic neuron',\n",
       " 'neural plate posterior (nkx2-1+)',\n",
       " 'spinal cord',\n",
       " 'neuron - ina',\n",
       " 'hatching gland',\n",
       " 'Rohon-beard neuron',\n",
       " 'hindbrain',\n",
       " 'blood',\n",
       " 'neural plate anterior (fezf1+)',\n",
       " 'optic vesicle',\n",
       " 'placodal area',\n",
       " 'ciliated epidermal progenitor',\n",
       " 'migrating myeloid progenitor',\n",
       " 'chordal neural crest',\n",
       " 'olfactory placode',\n",
       " 'presomitic mesoderm',\n",
       " 'germ cell',\n",
       " 'cement gland primordium',\n",
       " 'cranial neural crest',\n",
       " 'placodal neuron',\n",
       " 'beta ionocyte',\n",
       " 'gut',\n",
       " 'neuroendocrine cell',\n",
       " 'anterior placodal area',\n",
       " 'ionocyte',\n",
       " 'dorsal lateral plate region',\n",
       " 'intermediate mesoderm',\n",
       " 'endoderm',\n",
       " 'ventral blood island',\n",
       " 'tail bud',\n",
       " 'intermediate mesoderm (ssg1+)',\n",
       " 'epidermal',\n",
       " 'posterior placodal area',\n",
       " 'somite',\n",
       " 'neural crest',\n",
       " 'neural plate posterior',\n",
       " 'dorsal marginal zone',\n",
       " 'epibranchial and lateral line placode',\n",
       " 'lateral plate mesoderm',\n",
       " 'otic placode',\n",
       " 'pronephric mesenchyme',\n",
       " 'early neuron',\n",
       " 'eye primordium',\n",
       " 'endothelial hemangioblast progenitor',\n",
       " 'ectoderm',\n",
       " 'chordal neural plate border',\n",
       " 'surface ectoderm',\n",
       " 'goblet cell',\n",
       " 'marginal zone',\n",
       " 'neural plate anterior',\n",
       " 'lens placode',\n",
       " 'notoplate',\n",
       " 'adenohypophyseal placode',\n",
       " 'neuroectoderm',\n",
       " 'cardiac mesoderm',\n",
       " 'alpha ionocyte',\n",
       " 'involuted ventral mesoderm',\n",
       " 'small secretory cells',\n",
       " 'notochord',\n",
       " 'blastula']"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(set(frog_data.obs['cell_type']))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e1a0d0aa",
   "metadata": {},
   "source": [
    "2. Loop over all cell types:\n",
    "\n",
    "__Note:__ Please change notebook cell from `raw` to `code` to see the plots."
   ]
  },
  {
   "cell_type": "raw",
   "id": "35a2ef77",
   "metadata": {},
   "source": [
    "for ct in list(set(frog_data.obs['cell_type'])):\n",
    "    ax = sc.pl.violin(adata=frog_data[frog_data.obs['cell_type']==ct],\n",
    "                      keys=['tei'],\n",
    "                      groupby='stage',\n",
    "                      rotation=90,\n",
    "                      palette='Paired',\n",
    "                      stripplot=False,\n",
    "                      inner='box',\n",
    "                      order=list(frog_data.obs['stage'].cat.categories),\n",
    "                      show=False)\n",
    "    ax.set_title(ct)\n",
    "    ax.set_xlabel('stage')\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3128d0ed",
   "metadata": {},
   "source": [
    "### Plot relative expression per gene age class per sample stage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "914f5682",
   "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>stage</th>\n",
       "      <th>S8</th>\n",
       "      <th>S10</th>\n",
       "      <th>S11</th>\n",
       "      <th>S12</th>\n",
       "      <th>S13</th>\n",
       "      <th>S14</th>\n",
       "      <th>S16</th>\n",
       "      <th>S18</th>\n",
       "      <th>S20</th>\n",
       "      <th>S22</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ps</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.549148</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.481208</td>\n",
       "      <td>0.030958</td>\n",
       "      <td>0.635034</td>\n",
       "      <td>0.540971</td>\n",
       "      <td>0.566287</td>\n",
       "      <td>0.556049</td>\n",
       "      <td>0.540787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.640801</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.025922</td>\n",
       "      <td>0.391773</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.487045</td>\n",
       "      <td>0.373626</td>\n",
       "      <td>0.408093</td>\n",
       "      <td>0.369463</td>\n",
       "      <td>0.314640</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.693043</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.002146</td>\n",
       "      <td>0.335158</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.435697</td>\n",
       "      <td>0.330510</td>\n",
       "      <td>0.351909</td>\n",
       "      <td>0.314005</td>\n",
       "      <td>0.234338</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.657684</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.027835</td>\n",
       "      <td>0.361469</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.432258</td>\n",
       "      <td>0.345035</td>\n",
       "      <td>0.345311</td>\n",
       "      <td>0.302562</td>\n",
       "      <td>0.223977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.689678</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.038879</td>\n",
       "      <td>0.349611</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.414623</td>\n",
       "      <td>0.330977</td>\n",
       "      <td>0.351258</td>\n",
       "      <td>0.302937</td>\n",
       "      <td>0.232756</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.630477</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.371492</td>\n",
       "      <td>0.034908</td>\n",
       "      <td>0.480240</td>\n",
       "      <td>0.422663</td>\n",
       "      <td>0.412788</td>\n",
       "      <td>0.373843</td>\n",
       "      <td>0.281930</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.628787</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.340251</td>\n",
       "      <td>0.010592</td>\n",
       "      <td>0.440440</td>\n",
       "      <td>0.357441</td>\n",
       "      <td>0.351782</td>\n",
       "      <td>0.298162</td>\n",
       "      <td>0.220355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.732670</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.069467</td>\n",
       "      <td>0.376976</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.391185</td>\n",
       "      <td>0.345026</td>\n",
       "      <td>0.326862</td>\n",
       "      <td>0.281135</td>\n",
       "      <td>0.208118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.744651</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.019259</td>\n",
       "      <td>0.305098</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.346719</td>\n",
       "      <td>0.322236</td>\n",
       "      <td>0.298132</td>\n",
       "      <td>0.248512</td>\n",
       "      <td>0.174518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.617543</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.051890</td>\n",
       "      <td>0.340161</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.351700</td>\n",
       "      <td>0.348766</td>\n",
       "      <td>0.279890</td>\n",
       "      <td>0.253492</td>\n",
       "      <td>0.171583</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "stage        S8  S10       S11       S12       S13       S14       S16  \\\n",
       "ps                                                                       \n",
       "3      0.549148  1.0  0.000000  0.481208  0.030958  0.635034  0.540971   \n",
       "6      0.640801  1.0  0.025922  0.391773  0.000000  0.487045  0.373626   \n",
       "8      0.693043  1.0  0.002146  0.335158  0.000000  0.435697  0.330510   \n",
       "10     0.657684  1.0  0.027835  0.361469  0.000000  0.432258  0.345035   \n",
       "11     0.689678  1.0  0.038879  0.349611  0.000000  0.414623  0.330977   \n",
       "13     0.630477  1.0  0.000000  0.371492  0.034908  0.480240  0.422663   \n",
       "14     0.628787  1.0  0.000000  0.340251  0.010592  0.440440  0.357441   \n",
       "16     0.732670  1.0  0.069467  0.376976  0.000000  0.391185  0.345026   \n",
       "19     0.744651  1.0  0.019259  0.305098  0.000000  0.346719  0.322236   \n",
       "25     0.617543  1.0  0.051890  0.340161  0.000000  0.351700  0.348766   \n",
       "\n",
       "stage       S18       S20       S22  \n",
       "ps                                   \n",
       "3      0.566287  0.556049  0.540787  \n",
       "6      0.408093  0.369463  0.314640  \n",
       "8      0.351909  0.314005  0.234338  \n",
       "10     0.345311  0.302562  0.223977  \n",
       "11     0.351258  0.302937  0.232756  \n",
       "13     0.412788  0.373843  0.281930  \n",
       "14     0.351782  0.298162  0.220355  \n",
       "16     0.326862  0.281135  0.208118  \n",
       "19     0.298132  0.248512  0.174518  \n",
       "25     0.279890  0.253492  0.171583  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "frog_data_rematrix_grouped = orthomap2tei.get_rematrix(\n",
    "    adata=frog_data,\n",
    "    gene_id=query_orthomap['seqID'],\n",
    "    gene_age=query_orthomap['PSnum'],\n",
    "    keep='min',\n",
    "    layer=None,\n",
    "    use='counts',\n",
    "    var_type='mean',\n",
    "    group_by_obs='stage',\n",
    "    obs_fillna='__NaN',\n",
    "    obs_type='mean',\n",
    "    standard_scale=0,\n",
    "    normalize_total=True,\n",
    "    log1p=True,\n",
    "    target_sum=1e6)\n",
    "frog_data_rematrix_grouped"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "8a83eb0a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x450 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = sns.lineplot(frog_data_rematrix_grouped.transpose(), palette='Accent', dashes=False)\n",
    "ax.legend(fontsize=5, title='age class')\n",
    "ax.set_title('X. tropicalis - Relative expression per embryo stage')\n",
    "ax.set_xlabel('embryo stage')\n",
    "ax.set_ylabel('Relative expression level')\n",
    "sns.move_legend(ax, 'upper left', bbox_to_anchor=(1, 1))\n",
    "#plt.tick_params(labelsize=3)\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fc82427f",
   "metadata": {},
   "source": [
    "### Get partial TEI values to visualize gene age class contributions\n",
    "\n",
    "Partial `TEI` values can give an idea about which gene age class contributed at most to the `global` `TEI` pattern.\n",
    "\n",
    "In detail, each gene gets a `TEI` contribution profile as follows:\n",
    "\n",
    "${TEI_{is} = f_{is} * ps_i}$\n",
    "\n",
    ", where ${TEI_{is}}$ is the partial `TEI` value of gene ${i}$, ${f_{is} = e_{is} / \\sum e_{is}}$ and ${ps_i}$ is the phylostratum of gene i.\n",
    "\n",
    "${TEI_{is}}$ values are combined per ${ps}$.\n",
    "\n",
    "The partial `TEI` values combined per strata give an overall impression of the contribution of each strata to the `global` `TEI` pattern.\n",
    "\n",
    "One can either start from `counts` (`adata.X`) which is set as default or any other `layer` defined by the `layer` option (`layer=None`).\n",
    "\n",
    "In addition, the `counts` can be `normalized` and `log-transformed` prior calculating partial `TEI` values (`normalize_total=False`, `log1p=False`, `target_sum=1e6`).\n",
    "\n",
    "Further, these values can be combined per given observation, e.g. cell typer per sample timepoint (`group_by='cell_state'`).\n",
    "\n",
    "The `get_pstrata` function of the `orthomap2tei` submodule will return two matrix, the first contains the sum of each partial `TEI` per gene age class and the second the corresponding frequencies.\n",
    "\n",
    "Both can be further processed by returning the `cumsum` over the gene age classes. To get them set the option `cumsum=True`. The `cumsum` will result in either for the first matrix the `TEI` value per cell or mean `TEI` value per group, if one choose a observation with the `group_by` option. Or in case of the second frequency matrix will result in 1.\n",
    "\n",
    "With the `standard_scale` option either gene age classes (`standard_scale=0` rows) or cells or groups (`standard_scale=1` columns) can be scaled, subtract the minimum and divide each by its maximum. By default no scaling is applied (`standard_scale=None`).\n",
    "\n",
    "The resulting data will be visualized in the downstream section."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "3356fad7",
   "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>stage</th>\n",
       "      <th>S8</th>\n",
       "      <th>S10</th>\n",
       "      <th>S11</th>\n",
       "      <th>S12</th>\n",
       "      <th>S13</th>\n",
       "      <th>S14</th>\n",
       "      <th>S16</th>\n",
       "      <th>S18</th>\n",
       "      <th>S20</th>\n",
       "      <th>S22</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ps</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1.065076</td>\n",
       "      <td>1.075439</td>\n",
       "      <td>1.297339</td>\n",
       "      <td>1.278294</td>\n",
       "      <td>1.372506</td>\n",
       "      <td>1.296431</td>\n",
       "      <td>1.327240</td>\n",
       "      <td>1.321580</td>\n",
       "      <td>1.351918</td>\n",
       "      <td>1.398437</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>2.622632</td>\n",
       "      <td>2.599675</td>\n",
       "      <td>2.466392</td>\n",
       "      <td>2.450787</td>\n",
       "      <td>2.355235</td>\n",
       "      <td>2.416976</td>\n",
       "      <td>2.374067</td>\n",
       "      <td>2.394803</td>\n",
       "      <td>2.366329</td>\n",
       "      <td>2.330845</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.592121</td>\n",
       "      <td>0.570923</td>\n",
       "      <td>0.447412</td>\n",
       "      <td>0.467962</td>\n",
       "      <td>0.450746</td>\n",
       "      <td>0.474230</td>\n",
       "      <td>0.458361</td>\n",
       "      <td>0.464511</td>\n",
       "      <td>0.453797</td>\n",
       "      <td>0.426489</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.727489</td>\n",
       "      <td>0.734946</td>\n",
       "      <td>0.610400</td>\n",
       "      <td>0.621289</td>\n",
       "      <td>0.576776</td>\n",
       "      <td>0.610543</td>\n",
       "      <td>0.597909</td>\n",
       "      <td>0.588380</td>\n",
       "      <td>0.567627</td>\n",
       "      <td>0.537077</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.302491</td>\n",
       "      <td>0.302306</td>\n",
       "      <td>0.194769</td>\n",
       "      <td>0.214507</td>\n",
       "      <td>0.169287</td>\n",
       "      <td>0.215232</td>\n",
       "      <td>0.208144</td>\n",
       "      <td>0.213954</td>\n",
       "      <td>0.202081</td>\n",
       "      <td>0.189009</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.152253</td>\n",
       "      <td>0.160325</td>\n",
       "      <td>0.116740</td>\n",
       "      <td>0.133355</td>\n",
       "      <td>0.130488</td>\n",
       "      <td>0.140070</td>\n",
       "      <td>0.141939</td>\n",
       "      <td>0.137429</td>\n",
       "      <td>0.133691</td>\n",
       "      <td>0.125851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>0.007637</td>\n",
       "      <td>0.008593</td>\n",
       "      <td>0.002546</td>\n",
       "      <td>0.004719</td>\n",
       "      <td>0.002786</td>\n",
       "      <td>0.005428</td>\n",
       "      <td>0.005013</td>\n",
       "      <td>0.004905</td>\n",
       "      <td>0.004333</td>\n",
       "      <td>0.003908</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>0.055560</td>\n",
       "      <td>0.053634</td>\n",
       "      <td>0.031272</td>\n",
       "      <td>0.037389</td>\n",
       "      <td>0.023350</td>\n",
       "      <td>0.033688</td>\n",
       "      <td>0.034344</td>\n",
       "      <td>0.032508</td>\n",
       "      <td>0.030156</td>\n",
       "      <td>0.027722</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>0.078653</td>\n",
       "      <td>0.074998</td>\n",
       "      <td>0.031865</td>\n",
       "      <td>0.041560</td>\n",
       "      <td>0.028736</td>\n",
       "      <td>0.041675</td>\n",
       "      <td>0.043754</td>\n",
       "      <td>0.040797</td>\n",
       "      <td>0.036679</td>\n",
       "      <td>0.032713</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>0.343420</td>\n",
       "      <td>0.391323</td>\n",
       "      <td>0.225555</td>\n",
       "      <td>0.254838</td>\n",
       "      <td>0.183497</td>\n",
       "      <td>0.241658</td>\n",
       "      <td>0.254372</td>\n",
       "      <td>0.222163</td>\n",
       "      <td>0.217640</td>\n",
       "      <td>0.194108</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "stage        S8       S10       S11       S12       S13       S14       S16  \\\n",
       "ps                                                                            \n",
       "3      1.065076  1.075439  1.297339  1.278294  1.372506  1.296431  1.327240   \n",
       "6      2.622632  2.599675  2.466392  2.450787  2.355235  2.416976  2.374067   \n",
       "8      0.592121  0.570923  0.447412  0.467962  0.450746  0.474230  0.458361   \n",
       "10     0.727489  0.734946  0.610400  0.621289  0.576776  0.610543  0.597909   \n",
       "11     0.302491  0.302306  0.194769  0.214507  0.169287  0.215232  0.208144   \n",
       "13     0.152253  0.160325  0.116740  0.133355  0.130488  0.140070  0.141939   \n",
       "14     0.007637  0.008593  0.002546  0.004719  0.002786  0.005428  0.005013   \n",
       "16     0.055560  0.053634  0.031272  0.037389  0.023350  0.033688  0.034344   \n",
       "19     0.078653  0.074998  0.031865  0.041560  0.028736  0.041675  0.043754   \n",
       "25     0.343420  0.391323  0.225555  0.254838  0.183497  0.241658  0.254372   \n",
       "\n",
       "stage       S18       S20       S22  \n",
       "ps                                   \n",
       "3      1.321580  1.351918  1.398437  \n",
       "6      2.394803  2.366329  2.330845  \n",
       "8      0.464511  0.453797  0.426489  \n",
       "10     0.588380  0.567627  0.537077  \n",
       "11     0.213954  0.202081  0.189009  \n",
       "13     0.137429  0.133691  0.125851  \n",
       "14     0.004905  0.004333  0.003908  \n",
       "16     0.032508  0.030156  0.027722  \n",
       "19     0.040797  0.036679  0.032713  \n",
       "25     0.222163  0.217640  0.194108  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "frog_pstrata = orthomap2tei.get_pstrata(adata=frog_data,\n",
    "    gene_id=query_orthomap['seqID'],\n",
    "    gene_age=query_orthomap['PSnum'],\n",
    "    keep='min',\n",
    "    layer=None,\n",
    "    cumsum=False,\n",
    "    group_by_obs='stage',\n",
    "    obs_fillna='__NaN',\n",
    "    obs_type='mean',\n",
    "    standard_scale=None,\n",
    "    normalize_total=True,\n",
    "    log1p=True,\n",
    "    target_sum=1e6)\n",
    "frog_pstrata[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "6fa86e38",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x450 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plt.rcParams['figure.figsize'] = [9, 4.5]\n",
    "ax=frog_pstrata[0].transpose().plot.area(cmap='tab20')\n",
    "ax.legend(fontsize=3, title='age class')\n",
    "ax.set_title('X. tropicalis - Contribution of gene age classes to global TEI')\n",
    "ax.set_xlabel('embryo stage')\n",
    "ax.set_ylabel('TEI')\n",
    "sns.move_legend(ax, 'upper left', bbox_to_anchor=(1, 1))\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()\n",
    "#plt.rcParams['figure.figsize'] = [6, 4.5]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "05bce404",
   "metadata": {},
   "source": [
    "### Color UMAP/TSNE by TEI\n",
    "\n",
    "Follwoing the basic tutorial of the Scanpy python toolkit ([Wolf et al., 2018](https://doi.org/10.1186/s13059-017-1382-0)), one can highlight `TEI` values on a dimensional reduction of the scRNA dataset, like `PCA`, `UMAP` or `TSNE`."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "86283d42",
   "metadata": {},
   "source": [
    "#### Filtering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "452db185",
   "metadata": {},
   "outputs": [],
   "source": [
    "sc.pp.filter_genes(frog_data, min_cells=3)\n",
    "sc.pp.filter_cells(frog_data, min_genes=200)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "486a80f7",
   "metadata": {},
   "source": [
    "#### Normalization, Log transformation and Scaling"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "8c0dac3c",
   "metadata": {},
   "outputs": [],
   "source": [
    "sc.pp.normalize_total(frog_data, target_sum=1e6)\n",
    "sc.pp.log1p(frog_data)\n",
    "sc.pp.scale(frog_data, max_value=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac177255",
   "metadata": {},
   "source": [
    "#### PCA and Neighbor calculations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "00c05fdc",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda3/envs/scanpy/lib/python3.8/site-packages/scanpy/plotting/_tools/scatterplots.py:392: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
      "  cax = scatter(\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1374x450 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.tl.pca(frog_data, svd_solver='arpack')\n",
    "sc.pl.pca(frog_data, color=['stage', 'tei'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "3beb0620",
   "metadata": {},
   "outputs": [],
   "source": [
    "sc.pp.neighbors(frog_data)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bcc490e3",
   "metadata": {},
   "source": [
    "#### Embedding the neighborhood graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "60920aa9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 619.28x450 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.tl.paga(frog_data, groups='stage')\n",
    "sc.pl.paga(frog_data, title='X. tropicalis - embryo stage - PAGA graph')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "993a2e74",
   "metadata": {},
   "source": [
    "#### UMAP"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "5a1752a3",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda3/envs/scanpy/lib/python3.8/site-packages/scanpy/plotting/_tools/scatterplots.py:392: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
      "  cax = scatter(\n"
     ]
    },
    {
     "data": {
      "image/png": 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ECy+8MGCfYrHIY489RkVFBUOGDBmwz+OPPz7g8YoVK2hvbz/kJJb7mkruvffeg6bZd8P/6A3qox2ePwuj0cgpp5zCzTffTC6XY+vWrQdN29DQwPjx4/f/HWpC0GnTpmGz2di2bduAfT78p9FoPnf+P+zJJ58cMBqtvb2dFStWHNYkonPnzqWqqoqf/OQnLFq0iGuuuWZAwDV79mxgbwf5D1u9ejXbt2/nuOOO+9Tnqqqq4tprr+WEE05g3bp1+7drtdqPfZ/um+RREIT929LpNI8++uiAdMceeyzAAQMdnnvuuQNG1p1++uls2bKFQYMGfexrdKgAqqysbEDaESNGHLK8s2fPRqFQfOwAjDfeeINYLMbxxx9/yGP84he/YM6cOfzkJz85aJo333yTrq4ufvCDH7B48eID/oYPH84///nPr8woQ5nsSJFroL7h7rjjDtasWcPrr7++v+8CwG9+8xtefvllLrvsMjZs2IBerwfYX7uzb8TMwez7cr/zzjs55ZRTEASBkSNHHvImfscdd3DCCScwa9YsfvrTn6LRaPjb3/7Gli1bePLJJw+oyVizZg1XXHEF5513Hp2dndx8882Ul5dzzTXXHPQc06dP5+KLL+b222+nr6+P008/Ha1Wy/r16zEYDPzwhz9k6tSp2O12rr76am699VbUajWPP/74Z+4XduWVV6LX65k2bRqlpaX4fD7uuOMOrFYrEyZM+EzH/CiTycQ999zDvHnzCIVCnHvuuXg8HgKBABs3biQQCBwyaPws/H4/c+fO5corryQajXLrrbei0+n47//+7099DEEQ+MEPfsCNN96I0Wg8oJmooaGB733ve/v7551yyim0tbXxy1/+ksrKSq6//vqDHjsajTJr1iwuvPBCGhsbMZvNrF69mjfeeGNATcmIESN44YUXuPfeexk3bhxKpZLx48dz2mmn8T//8z9ceOGFfO973yMYDHLXXXcdEFgPHz6cb3/72/zpT39CEARmz57N1q1b+dOf/oTVakWp/Pfv0F//+tcsXLiQqVOnct1119HQ0EAmk6GtrY3XXnuN++6774Cats9q0KBBXHvttfzxj38kEolw6qmnotfrWb16Nb///e8ZP348F1544SGPcdFFF3HRRRcdMs0DDzyASqXipptu+tgA8KqrruK6667j1Vdf5cwzz/xcZZLJvlaOahd22Zdqw4YNklqtlq688sqPfX7lypWSUqmUrr/++v3bqqurP9WIpWw2K11xxRWS2+2WFAqFBOwfWQVIP/jBDz52v/fee0+aPXu2ZDQaJb1eL02ePFl6+eWXB6TZN4rnrbfeki6++GLJZrNJer1eOvXUU6Xdu3cPSPvRUXiStHc01Z///GepqalJ0mg0ktVqlaZMmTLgPCtWrJCmTJkiGQwGye12S1dccYW0bt06CZAeeuih/ek+zSi8Rx55RJo1a5ZUUlIiaTQaqaysTDr//POlTZs2feJ1PFzvvvuudNppp0kOh0NSq9VSeXm5dNppp0nPPvvsAXn+6OisefPmSUaj8YBjzpgxQxo+fPj+x/tG4T366KPSddddJ7ndbkmr1UrTp0+X1qxZ86mO+WFtbW0SIF199dUf+7woitKdd94pDRkyRFKr1ZLL5ZIuuugiqbOz85DHzWQy0tVXXy2NHDlSslgskl6vlxoaGqRbb71VSiaT+9OFQiHp3HPPlWw22/736j4PPvig1NDQIGm1Wqmurk664447pAceeGDA+3nfuW644QbJ4/FIOp1Omjx5srRy5UrJarUO+PxIkiQFAgHpuuuuk2prayW1Wi05HA5p3Lhx0s033ywlEolDlulwFYtF6d5775XGjx8vGQwGSaPRSPX19dKNN954wEjbD4/CO5QPj8ILBAKSRqORzjrrrIOmD4fDkl6v3z9CdN/nd/Xq1Z+zdDLZV5tCkj4yY5xMdpQ9/PDDXHrppaxevVruQ/ENcM8993DdddexZcuW/Z2pvwlWrFjBtGnTePzxxz+xpkcmk33zyE14MpnsS7F+/XpaW1v59a9/zZlnnvm1Dp4WLlzIypUrGTduHHq9no0bN/L73/+e+vr6g3aslslk32xyACWTyb4Uc+fOxefzMX36dO67776jnZ3PxWKx8NZbb3H33XcTj8dxuVyccsop3HHHHQdMCyGTyf4zyE14MplMJpPJZIdJnsZAJpPJZDKZ7DDJAZRMJpPJZDLZYZIDKJlMJpPJZLLD9JXoRF4sFunp6cFsNh9yWQiZTCaTyWQDSZJEPB6nrKxswMSusi/XVyKA6unpOeg6TDKZTCaTyT5ZZ2fnFzbTveyTfSUCKLPZDOx98T9uVXeZTCaTyWQfLxaLUVlZuf9eKjsyvhIB1L5mO4vFIgdQMplMJpN9BnIXmCNLbiyVyWQymUwmO0xyACWTyWQymUx2mOQASiaTyWQymewwyQGUTCaTyWQy2WGSAyiZTCaTyWSywyQHUDKZTCaTyWSHSQ6gZDKZTCaTyQ6THEDJZDKZTCaTHSY5gJLJZDKZTCY7THIAJZPJZDKZTHaY5ABKJpPJZDKZ7DDJAZRMJpPJZDLZYZIDKJlMBsDGWJLtifTRzoZMJpN9LaiOdgZkMtlXw+9betkYTzHXY8ejUVOq13C+13G0syWTyWRfSXINlEwmA+B6tw+HCuL5DK/52olmU7wbivOX9j76cwXyRYkneoK8Hogc7azKZDLZUSfXQMlkMgCGl0zm7uIiNmfMnOoeyhs922nJVKFPxPhFOMauXIG/Dq3m1uZu9EoFVToNO5JZTvXYjnbWZTKZ7IiTAyiZTAaAUaWiSqdgm1TK271bcRlLcUpKHomLlFuK5ApF7unwA/C3jj4EFNQYtMz3h/lxjZcqnQZJArNaOMolkclksi+fHEDJZDIA+oNLUKDkO+WlbNDlaM5qKDea+ZFRg683jqHCjkFQMtasp1Sj5tY9PYw3G3jV18L/tWXJKLSUatSMtxqZYjfjUMtfLzKZ7JtL/oaTyWQAWMwjUSrVBINLKWimMdumRZ9rQcpL5A291JnHk8gXkBQKHDoN8xz97Arn8WqdzC33cPueXuIFEQWQLUp0ZHKMsxgZbNBSqtMc7eLJZDLZF0oOoGQyGQDpTCcmYyMu1yw8yr0Bz1tRD9VaJTvMBoL+JLuyORIeiZd9Ib7jcVPrLCfSG2R7ZxcujY6mjMQOKcNIs4FFgQgSEv5cnnPk0XwymewbRh6FJ5PJACgUksRFBa29b9EfXEp7+/MsDMbp7ehErdCwKdTKz0ZWMdykRxEJEla4KCIxyqJnYmkJTrXAHmUWj0HLpliKK6o8vNMfI5DNHe2iyWQy2RdOroGSyWQAqFVmOmO76WQQ4c5X2B4bzFVVIQLK95lgOps1ej25rjir8y38cGwTChTc1drLbl8fk/KrOWHEtxjl0OHxeFgZiqFRKTnVbSNYKPBmf5STXNajXUSZTCb7wsg1UDLZlyiQyx/tLHwqkiSSSrcx3DWcMks1Zw65gO8PUhEQ9Wi6JHbsuIdplgy+aB9nu/SEw2me6fBxnSuFw6YlYqtH2vlP3urpIpsNkczliOREvusy8R2HkfeCUWa+v413gzE60tmjXVyZTCb73OQaKJnsEJIFEUGh4G+dfWyNZzCrlDhVAj+r8XLNjg7KtWoi+QKXVniIFkS8WjVujRqrSkCUJDbEUpzwNah5USgEvCVzABhpNpBOg0XZhE9rZL3Vi8JwLGfYSzBIzfh8y4h0+XhCP4+urTu5depIesN9VAw5m0y2h7vWrmKorQybvZRHOzrRsYse1Wj+OXIQd7X2YlGraDDpOLvEjlGQpzyQyWRfTwpJkqSjnYlYLIbVaiUajWKxWI52dmT/QVpSWd6PxHGoVNze0sM5JXuH6jcY9fyx1ceZHgsPdwcpFIuYVCra01kqNAI5hZJwvsAYk56IKOHVqRhnMdKZybMtkWaO20adUYtZKdCWyXJBqfNoF/UT9flfx+WchUKhZKfvHepyU9DWWHmyu5tT7Hp2BlaR01TwWvNGrpZUlE89lXc6U0TXLGWQvpwnakv5rrgFdcVIdm98klETriPUvIt4RRXP7e6gaLXzk5oSnveFWBlNcMugcvrzBY5zfvUDTJnsq0y+hx4dcgAl+4+VFov8rd3Pkr4A/kIRm0aDViUQyuX5f0OrWR9L8m4oRh4F/1VXyl86/FzgdXDN1lb0SoFag4auTJ4JViOZYpGOTB6TUkGjUcfaeJLLyz3M7wsRL4igVPDnxmpiBZHubJ6zSuxHu/gH1Z7OsjWR4lS3HVFM80rnesIKL5GenWhKRzIyspz3ImkmBt9mnW4uZ+vrMQ7rIR6vwqV0sN2kpScZ49y6SrZu3Upt41Ce3dOHoFDQJ4i80BfFICg5zmnhid4gv6qvYO5X+HrIZF918j306JD7QMmOulyxeFT6CukFJReWO7i1sYaHRtWjVwuUqtWcXeJgrM3Et8pdBAtFvlvuxiAItCQz/HBbGwZBoFSnxiwoyYhFdiWzlGnVjLcY+FFtCYtCMeL5Is/7QqyPpZjjtpBJZbijpYc/t/swCwp+v6fniJf30+rJ5Blk0CMVigiCngmBEspbljChYRIl3W/RqTUwzGAgafwZM4siq4Uw/9sh4qkZjKXExhSnGcFoJFkQWW9x0xfLMESRw9C9h7q+PK+MH0KFXsPEsB+7SsWqSPJoF1kmk8kOmxxAyY6q90IxJq7Ywnc37Tkq5y/VahhvN1OpEJljN3FxhYuObJ5YQaQtneWSMheb4yn0CiWiJHG808Lfh9cSy4u0Z/KMMhuwqpUEcgVQKNiZzFCh0xITRXpzeSTgg1gWrUGHSVByRYWbQE5knMXAT3d0sCQY4+42H+/0x45K+T/OcLOeErWK9PYQ+aLEtjo30UCI/lSOfNJNPiEy1DiG8go3uzHSJujwmG1kixKbiwVW7ulkjqDHqBIwatQYfSEqwrDe6qZY6Mff9TDjDBp+l4ZHRtWhU8Blm1uI5QtHu+gymUz2qckBlOyoubu1l7tafBxrtzDeYjyqeZEkiTPNIaKpDn4/pAKlJPHP7iCTzRk6kxle3LSN62tLKdFp0SgVPDSijlNdVk4rsXG8y8r5pS5KNWo60nkm203c1ViFRqlkuEnHhniSQTody0NxnuwN0t3Vyc27uznBYebRniCL/FHUSni0u/+oXoN9LCoBm0aFYYQLtVJB+a42jh93AtM7A0yaMJwhmiDlDbWstihxDBnJuX0bmRPz8F5PHw1qBZnON1Ea9o5POdNm4aXmXjrX7cDSFucfMZHnc7N4N5ZhpMvBDzauJy8V2RRPcsmmFqJyECWTyb4m5ABKdsQlCiKrQnHm+yP834habhxUxn8PKj+qeUom38bpHMYwrUhuYwuCUsm3vA6M+XZGKTu52KvB3bUKr1bFq34/a+MpOrN5LCqBCRYjL/qCbIgncahgW6iV5mQWmwJ6c3lKFBEW90c41mZmbTTJuwodc9xWHu0JUqlXEy0W+FuHn7RYZGM0yZZ46qhei33ygRRSXiSpyGKtHYneWkZz2sbwuvNYGo7jUquYVFfCe6NPp25kNXUdO0kld9BsHkJeJ7ChL8rOeIpJZRYMBgMXjvFSadMyKq8i6g8wqpDil5YOtKkUdaJElaKIVV4/TyaTfU3I31ayI6ooSUx9fxuZYpHf1ldQolXzjC/E+Ud5qY/S0rlEo+tRZbegHjqThCiS3fUCDBrECabdhPp3kc4NoqvnDU4rq8SvHkOjJspEixuPzkiuKOHQqFgZTuAwlLE9EqMcEVGrwZO34dWpUakFrq7w8H/dAXpyeUIFEQCXRs3JbisbYik2J9L8anAZD3QGGGc1MsKsR1Aojso1USgULI0kGDFuDAqlAv0wJyf867lZhiI6QcnfO/xMdpuRxCJNjZNRu4wcm+wgHgoR6cuxJpelqcJNf1+asXYLkwLvYdtTwk9HN6BXCwxSz2JTush36s1kODrllMlkss9CroGSHRE9mRzLwnH+2t5HuiBytsfGxmgQ4KgHTwCFQoJcLkBlxcXo9ZV0ZfIMH3Mh/dqxFNZMJGeuJ1QzgguqhpCSVMwIJjjdbKLX/w65Qopqg5a3O1fhyaygWqshJYp0C1qqdTqyOj1WnY5ovkBPLs9YsxGLSsUoswGzQsH11SXE8gUMSiXdmRzXbm3nL+0+fr2rk23xJOIRGCgrSRLP+UIDtqlceqY6LTg+plbIn8vzfiTBq4EIlXotgklD0aZi17InqLHrcdoclNfZ0RejaKJBdip6Wd3WSY1/KF2q3Wzf00xIAp3Nzms9ATrbWhlm0n/p5ZTJZLIvihxAyY6IMp2GY+xm+vMFaoxa5nqd/NAd2DvE/ytApTLhdp8IwLJwnGq9hkTgJWwqAf3oPOUlXua6texo7kCRWEfG1Uy5w44ps4f2jTtZ4AvgS/XjpYsbBpVzZkUJmlgOvTLPXK+dYWY9/bkCu6I9JHIpXuv1sS2R4pHuAH9r6WZJME5LMosSiWChwAizgY5MjlcDUX7f0vuFlzeT6WVnx9Mk8ntnBVcoFJz7MYGsWvnxtUJVei1GpZJ7h9Vw9ZY2ipKEJEmYjVNRhLWI0Sz1Jj3fnzCK0r4YGl2RpCaHL9xJTbCMIfpOsoKKVcE4U3VmlunlaQxkMtnXixxAyY4ojUJBjVbDCLMel2MqKyOJo52lA4yzGLEo0pSWno1Hq0bQ+ulbuZi1K56mUgyyo3Mcu3YtYeGe5wm7L2Jd6ClK8wEuKnMxpu5yAM7xOpg9yEVlvpuZVhPjLUbyEihUDvZkRCr1Jqq0asxqNU12K8G8yLpEks7M3hqqcL5AEQUNRi1jLQaKX3AtlFbr4f/ak3zr/ff4oPuzTanQlc0jInFXQyW+bB6dTkfpmBr6FBEeiwQJ5PJE8wVSHjVnGp3YA6vQNg1hkc6Eq8vDqcRo6lpLuUbFddUlX2j5ZDKZ7MsmT6QpO6JakxnO2bCb58YMoc6gPdrZOahQaDlW6zgA+oOLMRkbWbBlGx2ZtVwSPBn9aDudThuBTfehrJ6BIfkepZZ69IYqHtno5zhnivKq0WR6XPw22I/RoUWRTlPudLA4GMOfyxHOFdALAlqlApdWgy+VRVLu7SeWlyRKNGoieRGrWsVsl5WbB5V9oWV8ffdCftil4b+srVwx9pLD3l+UJF7yR9iaSDPLYeYYu5kt8RQ720MMtqzF5j4ZrQQ92/sZUeNADGbQDbETe6+TDqmfSN6IpcnFyJKj34Qrk32dyffQo0OugZIdUVGxSLlOi0f91VkDLVss8pI/PGCbRuMildqDIOgo8ZyC0VhL7ZBjuWD89ShL3XS2LyD4wRU49eOpiO3ElakipyknkWjGqt/EZss4nlh3H9s9GjRGP2vC/VxUoSaZz3OyModFpebeEXV8q8xJTCySzBdwatWMNusBBVNsZgoo9vYLUkhcUeFmVzLzhZZ7hMOBAolw2k2f//XD3j9XlKjWafjloDIK//odNhQV09NK8sFqqvVazDsiDMkrUWoE1KVG0tuCGEeVUNlQg9TRiU9eC08mk31NyQGU7IgabTFwcZmLa7d30JLKkC9K9GVzR2Um8n20SiVnegb2wTGZGjCbh+9/nNoUoCr5FjVGM4WaTqonXEV55c/RbJaI9a+nOb6dD7q28ruOCpryRia7KxFKfkR/yy4mlQxnpqGLO3avQ5EKkrc5eaCplud6QywPJ/l/Q2uo0QtU6jR0ZQoolQrsgooLvU4MgopJNjO37+nBo/liB80KKBHRsDrnp0sYddj7a5UKKnUaAIb/qwO4YNZgbiowfszovWmqLCi1AoJZg1KvQkznESwarCV2pl96HDMd5i+sPDKZTHYkydMYyI44k0qJXaNkgT/CC31hFBIME7P8ZFQDXdkcq6Ipwvk8EgpOdVsZazHSlcnSlyuABLtSGS4tdyMowJfLU6rVfCH5Sqc70OurDtje1taGrcpGme0cAGy2Ol6L5hirN6CpjSMom9jjHMlYh8DY+Cras6MZLcFY/y30GhoZlb0cn87CFCHC7mQ34YwSMbSZcmsjfZkiz/cFcUp+Xo1a0CkVeDQa5veHsEVUTLOZ2BxPcU1lCa/4I1hVAnO+oHXjbIZGVGxmsHsMG0ItjHMeXhPhsnCCY+wmkqLII91BLi5zkpcklvUFOau8BJ1ai8qlR3DoAFColBjHDOzrpFHKv+FkMtnXk/ztJTviRpoNmAQV3Zk8xzvM/LTWg83p4Nub9vBSX4ShhQxL+6PUqeO8HoiyKZ7GnyvQl83j0aoxKhWcs34X/2/9VuZt3MOcNbtoS2c/d76yWf/Hbq+pqcFms+1/rNdXcI7XgdkQp3TSWHpNZ6JpdyIFN/F+fChxdhPsWY/bfB6Dcznu73+bUZaRxPvTfL9Gxzx3K5NqJ2JJreL7FXrKVSrMaTNapRKzQolbq0YtQSBbYEcySyhX5ClfP9viKar0X1y/sbd611IqtbM+lOTSQZMPe/+hJh1KhYIloTgXltpZF0vSns4y0zucSPDN/ekUHxrJpzjIqD6ZTCb7upEDKNkR90bHGq53F/hDQwWXhT9glt1KPpejUVBg6v+AqV4399hVTIzv4ndDKphqN3Gsw8L5pU6GmvTM9Tq5pcbLD0Y28vtaD3XFHI+uWEU2+/mCKJtt/GGlN/QNY0FISUm+gFWdwamfwAwhzvr0KN4KZYknXkNSh5lmjOEJPcDI3Fu0BLbQHutld2gbdr2VD9oX0RUJg6KVOR47kqDEqxEYYtQjKaArm2OEScPuRIb2TB6tQuLt/sjnXvYlmCsQVXqIFmzcVaFGqTz8ymi3Rs2dLb2MMOlJxTZxituGWqHgoZ5+8raTP1f+ZDKZ7KtObsKTHXFenQd/31aad73I2LFX0N/fzwm9exhe24BTewLqvMDYYUPJ5wejUCjYtm0bw4YN27+/XlDijIfJGzSMdTsZZLNSyGR4K5omU0xy3mFOzBkviEQLIhW6w2sKVHsNzBUlFA0m9C+FUKYtuGtn8N8uEd/ON4l5jSzNnsWVltH0Fp6gy3sGtcEtTPR4adOXMF6b5qFgGpOyh3OHnYxGUGBRC7zTH8WuFnCoVDg1KiKFImqlknxR5B9d/WyMpXlqzGAyYpGl4TgnuqyHlW/Y24zakk4TURuorxh92PsDdKWyZMQC89bvIlZUs9otMdFmYqLNBMAdLT1cU+mRl2eRyWTfSPI3m+yIO71qMDCYQuEkNiWzjPZ42OYspWfJO4wdP5ZR1aMBUKvVAAwePPiAY9TU1Oz/36pWgdrEnH/1R14ZSTDJakR5kCVQujM5nGoVOmFvBWxRkj7TbN9qt+HfeRjsJtMcob8+hj2o53VfHU77dIzpBN3+J7CUD6Vmxz+o0p7MJv877PGXsVzqRhQUFJwzyCU28kamms50Fn9exJfJkS4UqdYpCeVhks1IViyyI5FmltPMzkSaUXo1x9o/WyfssP91NvtyqCQXG9I5JmoOL3h8se19XutX0xP3ocDOdLMVf67A7mSG6f/qGP6DqhIsKnmUnUwm+2aSm/BkR82yTVtQKRQolUquHz+ScZPHM2rs6APS5ZQCXZkcK8IJNsZTpMXiIY9brdMcNHgCiIvi/mH3sDcAq/6cfYukdAHjaDdag44uY4SZI1xYVesYhQrySrpan2Ko8ed0qMtQGwehMIVpE+qZalXRkRZ5sSPEu93bON1jpdGgoVSn4dulany5AhOsRt7oj7I9mWGwUUedXsvGeJK/7tiDUPxsM7mXlJzKB5SjUBhRfYa19uZ3tfJ2JIkhl+fXQ23cPX44Xq16f/AEyMGTTCb7RpNroGRHTe3QoRiEf8fwI0eOJLMzhLrchGD6d43IYz1BNsWTxAtFLq9w8VwshVFQki1KfLvMecBxyz6hKa7R+MWvuWY9vobMzhDabSnqp9Yh5UQ8bxXpq19DuG8ItkIZeyzzMWsllKRQFLRMzn7Alu7Z3OXNsrZyMvnWxby6u50eNEgKWNCbJ6iANYEQFkFNdzZHazpHSpT4ltfOIxEtS6IpTvgMTXhPrv4DGnEC3xf6GGsZe1j7Llz9U97PnEapkOb6EcMZbKshki9gk5vqZDLZfxC5Bkp21FTrtbg16gHbdA2OAcFTrlhkrFnP+miKbYk0z/rCJAsFBAX05/fOHfXMRxbBBRDFNMVi7sstwEfoGhzYTqklszNEIZwl151gj3QsRJ4n5yzFaCqyLu2gJaHFEG7kSeV5WK3NvJxbxol2LSqji4jOQHe+wPU1JThMer7jtqBQCQjZHKmCRINOjVaAV/qjaJRK+rOHV8Z0uotIZA1PJYeTwoxbF6Onp4NwOPyJ+yaSu3lu90L+kJjJZFbRWAySSfaQlyQKB2kBXR9LDXj8bO+Br5VMJpN9HckBlOwrK10ocNvubu7r8nNDrZfbBpdz+5BycoBVrWZzPM2vmrs53+vgVX94QD+mdLqDbDZwxPMsiUWUWgGlTsAyo5Lp3TkGVf8UhdmEV7yMMQUF41RBvj2inO8pn6BNWc4xqq3EE53kVSXk8348aoH5fVH0Sljgj2ETC+ySIE2RaqOWzkyennSOPcksbZkcqU9o0vyw5uYwrYoGUoocZUIMT/lxqO0erNZPrsWSiiKru1rI5qFNmMoZw0/C1L+Rcp0G10Em+TQJA79iLKqDf+U85wvxeVeWSnxFFqeWyWTffHIAJftKCucLzF69k7WRBL5sge2JNHNK7NjVauaWOJjpMHNTXRk/q/GywB+hqbCU5/v+XYtiMjWg15cDUCgk98/xlBKL9OcKX0qexUKBzu2bMYzyoNSrENxKdMMcqI0aFCvepqTKiFq7hFf6L+HZzYtwmyczxGLjsexU5ndsxR57j4scAcZqUmyNxWgyanEQZXcenApQI/J2MI6qKHGyx0qpTsXycIIt8dQnZ+5fhg0bRioWxymlCGAiq9axLJYikD904JHL9bNyzaMskOopUye5qMTNmV4nEyded8j96o26AY9PctsOmvZcrwPFYfbHak9nSYtFipKEJEksCcUOa3+ZTCb7rOROC7KvpFt3dzPJaqQ/LxLP53jZH+EndaVsjqdRAZtjSabZzcT6X+VE18moOJ5jmhdRtJ2GUqdCjOdYHIkzqdRGNroahUKFWu0gJUIoXzigxqS390VKS+d+rjwLKhWuympg7wi9kLgEV8kJKHUqKrXnUmhP47Wew1RPAHdQoDOxjeqOMBFHDqPrEmrzecy6EO6CwDnGIosiUWJqEyfbLayMpnALGrwqFV6tikf29FBpM1OiUfFET5Dxhxh1OCCPgoCIhFKpYpquwMlOAxrNJ0/7sG7bfdzGeDz4Obd2GKeVVH+ua/VprIwkqNBp9i8XA9CZyVGp09CaytKZyaFVKnirP4JLrSEnFXm2N4QKGGU1olEosakFhM/QSV4mk8k+iVwDJftKGmUx0J3Lo1cqiBfhfxorWByMsSeZZr4/whh1B2/6fRSsJ/P47oUkk61ohFJyXXGebO5FQqJWqyFTLLIoMwSTcQhKpQqXRsUQo45sPkYsto14Yge5YvFzB0/7GKy2/f+XeE9FMKqJr+xAU2NBoROwlY6mfEczxMNoY7DE5OZ4YxkTWjfxbnQ3sfbXWRtKM8Fdy0S7A6daRUxM0Z8r4M8WMKoFNodi9AFjLAZsKiUWlcDycAJf9pPXEwzk8kQCz7A17eJnrhRqte2Q6TvSWZaue5hr+0eiFxNM1us5pWI4ev0X3xF/n2d6g2yIJdkQTaJVQG82xxWbW3mmN8juZIa3g1F+u6eHO/f0EMhmCWdFft3czeZ4GoUC/tbu5/d7evn5zg5+s6eHXLHIz3d0cHdbLwDLQnHWRZMUip+vuVAmk/1nk2ugviHWRJOMtxqPdja+EP5sHosgMMli5NHuAJdXltCXL2JXqbDpBSbazCxrSRNXg94e4bzySnp6n6FTM4XaXi2zCxFCdg+biiUEfCkEKUcgk0UdfYNs1k9F+YW8HEigj3UzRFjPm4oTCaaCnFo1iQn/mgTysxJjOaS8iMr57wAj7/KRUxYpRCG/sUCsoRFl1Sz63n+ConYIRcUjFFMWZmfTBA1zCOXzvBcMcHF5ObpilBf8YZyYyasUNBr1CAoFnoLImliSllSWOW4rbq3qU01H0JXJE06oEXQWnkroGKc4+G+oYrHA03uWszVpYpy0gmGZCfzo+DM/1/XZJ1kQacvk9i9CvM/drb084wsxyqzHly3wQTTJnlSGjCjiUQnEpSJejYa10QRneGw80N2PTaXm5zUe/tEVYKRRxzX1FSwNxylIcHGZk3kbWzCqFHg1apaFY/xjaws5s4m/D69FLSnQC/LvSJlMdvjkb46vseWhOE/19PPfOztwfoOGkGuUCrozOdbEU/xqSBX5osSyUJxHuwP8odVHvVGH3m5BMBRZvb2HhUEjS7SXY+j5gETxKbKj6tiY1+NKvEaVOolaZaLCWotKMPH/kjPx+19jqMlGMCWwheO4sqqCOk2W13YuJ50vML/v3x3SY7HNH5tH8SAdtxVaJcuyGZKiSN6XBMDZOAmDoZaYfSWG6V708QUIW95hhK6O8+2v8KC/ke1ZI63WMo5RKFk0bQwnWdV0rNtIEDPH2B38vE5gkqKHkaE+JttMaJRKSjRqZttNfBBNkSoUD+iw/bH5zueIiT7yUpGK3KFrYNZE+nm4V4EvE6ZW62H48IH9mfqy+c/caVujVOJQC+SLEruTGfqyOW7f3cXzviBGQcmFZU56sjmQirhUKsq0WoL9IXYlM1hVSsq0WjIFkZ5MAaVC4vctPdSrsmyOp9mTzjLGrKc5leah7n5yxSLJgsSb/j7+0NzDGYMqOdFlwZ/P05f75Fo7mUwm+zjfnLvufxBJknioK8DrgShro0lKdWruaKg62tn6wtjUKnqyOWbaLLweiPD3plr+1NKDP5vnqdGDKBSSVAYXMbm0gj3VjUS7X2SHX2CIpQ2r0UbXtr9jqv8+r+RGkEnFuLOpltubuzjZPYazSop47Wew2h/m3rQDKQMTbLt4xy8yylbJT9YsY7Jbw52BLKeJOxlUO4tsJMq7BfbP+v2sL8TMuBJXhQm9aeCcU0qtinEeC0ZBIPeRJqLyIeehNKgYpr2dTHeI91v+htQXpsoi0TDqRF5s7uD3rhKEDSuw57agUo6knBgvxvNMynSxTVVPVKflOAVsjKdoMunJFYvoFAqe9YX47ZCKT7y2jVoVRu9o3uxpZ87QUw+arlCUeLn5TQySBbMyxVWjT8NuaRiQJiUWUX/GxYE3x1O8EojQns7SnEgRyBexC0p6cjk0KHly4y4q9GYajHqe8YWo1GnYKqhBLPJYTxCtoOTVYAxBkhieS7KTMCd7SmkRrTzUFeCqCg/rQjGK5jxF4HSPldXN/awvwmnOPBvSJjQKxRe6OLNMJvvPIgdQXzO5YpF7WntpS+exqVWsmLp3BuhvklhB5Mc1XnyZHN3ZHPd29LEykuS8Ugc37+oiXhC52qzDkh3L0kSUd+PjyGb7uWP8gzy98yVShqEkogpOtCkpCna2hNtxi+04qUOrL2FJZ4jVmRQ3Dq5mSzyJ11mGx7wLjyAwyrIDh8rJs5kRNDgr6d+iwFF8hSGjT0InKDl73W5GmHTorAZma5R8XE8g879m4NaUDWwOFIxqst1xou90orZpqY6eQZu4jApbjM5df+Mk1Czr7GGyNsx642gKpaVEQ9v5gcvEE0E7vbkYkZwBRbaXrGQmWyyyKpZiis1EbzZHWixi/ITZv4vFDHe1FxhmU+M6SB+g9nSWW9YvRpFow6mo4KraqcQjGor5IE7nvycurTV8+uBjfl+Ys0rsPOsLkStKLA5GCeQKfK/CxX9Hk5RqBTy5PNVCH3uU5SQMVnqjUZ7sTFMjKGg06vBnUkySdtGXM6OyeokKBmx2A2d7HSzf0Q45LVOLWRYVRPy5Aj/yOtiYKTCvwoJFEFCVlDFLkWddAqY6P19TrUwmk8lNeF8TzakMS4MxTl+zi2f6Ikx2mLl7WBVLw/GjnbUvXEYs8lZ/hF/u7qY/n2eMxUCsUCDc080fBpdxlSfNRqme47q78Ji0zMPJj01F+nd8QGufFbtgpjeXJ9VhodHmYbSzhotqRvLX7iw+/+ss90f4VqmTU9xW9rSvZXvLC/zQtYMR4bfYppyM0T6VR4aXUC0u5BWLks1uFyvae3jBF6LRqCNYENkQT/Hr5i4e6T68uaYErQrdYBuCTYt3UAXDHLNQqGsp1U7iLcrocVgI2PtQZd/BkQmzwzCSFyJmEqIShUpPiVbDm3Ej02wmckWJeoOOQQYd3yp1fmLwBKAw2EhqjWxMOzGZBgYRvmyebLFIR2srzuj7rC9MwZyuYqRjMFVVtQOCp8MhShKdmRx37unm8W4/4VwOvVJJNC/ydiiOSakkE0+hNhgYalRSmi/y3zY9JxjUDNJECYt5FvdFGe4yk9KMQGMVubSjn4kVDhxqgTc++IDpdgtup5MXQnlurfVSrVHRJGoRRYhm+mkw6birsYrbGgYx0V7CAn/kM5VFJpPJ9pFroL4GipJEfzbPn9v6UCng9QlDMCgFVkQSnO/95CHoXzcerZohRj1XVQrsSecQpb3Lr9i0Rq5cvwuTycjt9RU0OdM0R+PY6sy82FHAFcuwSLLQmWnluoCTLcOcLG59neOjJXgmTeZ7liUIjlO4xKNEGX6FRyPHoHY38Y+MksZ1vcwcGeGkigYeaNvMz4eMYvzg79MkFrmrVYUhtpCt/Sq8XjPBXAGXMs/upMhtgz+52ezDVC49xlEeCuEMm157ioRCyUR3FKrqsPVWMi4XoUXw0OE4CWsqQC4Xpc6iQC+ZqVdo8RVzVKgLGAQFzeksw016/Lkc462frkZlaSjOMiopUxbo7+/H4/Hsf27t7ufJBtX8USxhpjpCSTpBU0kdDvNnW7B4eyLNI10BtsbTlOvVvBtKUKRIKlNkutOCJy1SUIQYYTSxOFfgGH+KYl7CVGHgb7392D1urkwbCCCi7m6ltLWNbu9ovjPyeLYoNzMt9w6/a6nh2qGNrFu6jb6mBGOkeubvaufXIxqR9Apuq3UQSazFrqsHIJovYFWrOPUzLH8jk8lkHybXQH0NdGdyvBtOMMlu5IwSOw61mid7Q6i/wdPbpIsSf+8KoFEoiHW+RCCb47lQByerRI61G/nfth6WBQO819+NP5vlwkFjiUR83FleyS+GjkFlWU1nPo9bmeY1YzOrFj1IgRIWB6PsCLfQrmzEhpLTrCp8mQj6sRXcF5vGezuXME7tZsOeB3h2x7M819PO5ZUlXFEzhT8NqmCaw8xVVR760iFq9Vou29LCY12fvhYqua6PQn8KbZWFOtcMxjSeSEl6LpXJYzjLnMFheoHh4iaWpgyoC2ncOht7Cl7acaBWqWg0W+gT1TTHUiiLRfy5AjqlwJpokmi+wFv90UOe/ySXjVF0c7JLPyB4Aji+fi6aEicTC6+gU+b4vtnFhQ4JheLwOlqviiS4ZvkGftfcxc5UBlEq0p7KokJitF5FTpJY39tHSa6AI7SHcDLKZCHM+JEltOl0FFK7mO1UMj26i1E9KtYn84ynDBrGk8xtJ9G7B5tpO2KXmculHThNVjxOEXXMQ2Opgd9PHYWyIFFM5Olufhq7bcL+vH0Q3duxX/UZ+27JZDLZPnIN1FecWCzyy11dVOs1zCt3E9u9A6pKOKfEhuUbNPLuo45zWtAoFLwTjLIwO44Gk5bJtgbUGT+uXDcxQUVe6WRy1oQfgUjvUozqDZRuLuP5xB7OM9dxkkuPq30yxnIzr4bXMS+n4mT1MlSx6czXF0kkUwzKb+D2mlrKrR76E5sYYQnREc7QnhvBQinI9SUO/vnBm5zSUEnCqKQlmmZLMsXcikZWhOOc5bXxmj/G3IKIUSUQDC7FbB6GRuP62HJpB9uIL+umKEoYx5aQ7YyRUYu8nOtA6FtMv6EMs6TnBGk7qZSWXfYc2UKSvMrO2kyakwQThmKOrqzEMKOe9myO450WJgZyWN1WTvyEmpWX/GHO0SuYWqJFkooo/jWNQVIU+e/N75IItpBSjqNclWT22AoyyR2IYiWC8MnzPjUnM9zX4ScpigRyKVoK0GAxoVDB7+rLeXjlJvJiN6No5Y3kEGw6K1pdGR6ThuGSh3j3ekZUNDEpIvHQjg5SlS5UhTZ+bmxjrX8yZyTVNDn0aEQPSyPjCSoznOkZg39HkEGDBrFn7R4so0YBoLLreCGb4nzvtwfk8ZOuj0wmk31a39w78DfAq4EIH4RibI6nqNCqcGvV6J01dGwJsEFb5Iz6kqOWt6QosiQU5zS3jXdDcWY4BjbzSJK0f1mOYGgZJmM9hUISlcqIVltCPLEDs6nxoMcvShL5okSlTsPwSg9LQwn+2tLNLzxxVivr6CoUmWBMc+IwHZLCQE98OP9MNXBs6R4s5pFE/KuhJUSr0Mzq8IXs0tt5uv1trrNegqLBhicep5peNie91BQF7ty9B3X4PeYrxlBQdDBSqmdSaTXLW/sYXTYaW+Q9FosqjhXewGqdx70dPjRKJbtSGa6s9LArlmCExYjTeewhr5vKokXjMYAoISEhGNSoBmsY1vwYvREnu0xZdioHo8nFSFZN4OTYU6xXzaKfErZLBcy5TlS4mFvqYmk4Th44o8RO0ZxnWThODQLeomLAPFT7dPTOJ+IP0adxk1dZafa9Rat6Cie6rBSyQUQMxDQlXJoSKPeEsBhrsRhr9gdZH2d7Is1gg47WVIYfbtxNf75IiRr8aJloU6FVSlRm0ixtCRLRWyn3J/FbpnOd4W0MuWHUlezhvegoKjM+XjKUMTFaYNTwMq5KBXheZ2K1sYhkL1Jh0hG0a1GJTtYUJb49qhalemC+HAo74Q/NhXW+18EzvtA3splbJpMdfXIA9RU23xdmZzKNPy+STKXpzuZo0ykoZldxetXJRyVPXZkcneksL/sjXFy+t5Zl6EfWO8vm+vH1zqe6+goAYrHtJBLNpFMt1NX9eG+iDy0auy2RxqYSKPvIkh1RUSReKLI6muI7ZU6ez3Zh0IQ51m5jYedaElENj7X6OM8wlnVGBaPNj7O1WMbi3iQgcq1eSUfejK37LYaXn8CxpaezNbeSd1vU6OONrBOUXGippr4DplRIPNtvZqwiyFl1YykxlPDclmfx5JwkdZNBquQEfRkPdB9DIp/g5rI4K5JmwpIBj0aFOxUnlVJgsVg+8RpqB9tIrvPTmfRR1JtRrvBTPWEuS0szTMr+jkimifccKQT/BvI1l7O9T0RBimkWOx8klAy1mVjk7ySFEb0gML8vzGluG8cYzBSzBaTMx8/N9GKqCWXiBVam7PxwSBBz6cnUAzuSadbteoi2mIezUm1kskFGj/rLpwo+/t7ZR0HM0hJOM6yQIqXW04+CFDlOsBt4f0s/7yhjVEe2M0K3knbztyiTerAq8lQUu/h9fxN/GO3k97tqmWbsYnpAyY1tPTT5U0T0Zm7ExKqASFe6BykRpbyoRCfEmazXg3rv+yW10c+rJSrOMuqwfmhagt7eFzi/9OxPfD1kMpnss5D7QH2FHe+0kCvk+I49QqMKskWJWGQlzZ0BiskjNwHg0lCctCjyeiDC7/f0YBYUfLvMyaJgjHxRwqYWyBaLSFIRn+8l/H2vASra2x+gr28hZaXns7I4lroht+1fd81sHkoq1QZAtU4zYG26ZEHk7WCMWXYTbq2aYxxG/tzqo0eyc2VnLfe097FdrOD9iIp3zU2srzTR2bGIhryGCYzhxiEnocrXsqTXRKt6DH5djrNLzAzKB0nnQdTVs8WUpsEqMV2vZ0+tidT2EDMcE1GprTwQ0PGPdUtYppzA66ph2DRKEvbxdKNkiF7JKEFFtWMUXXkdOoWS3ckMKyQl0P6J1zK5rg8xniO5qhePT0fXtggtGT/bOh6itXsXhayJrEZCVUxxsk5Dd9dOLioVKNUb6coWSGihKxVDqbKgVCiZ7bBwmstKbE0noiii1KoQrAOnF0j/a9LPb1VUk1INJ6iykFIP2v98vQ7E/BgSCjslUjPTpt0A8LHB091tPsL5vYsx/7XdR6wg0hYKMiUdwSDYMPV0c0G0l3MtAk+0ZNhjkgiiY3J/kW/VXcdcvQuts5EmzxTUpYOZW+HCYx/LGaU9FDqi5Do7maPv4pxzpvCnhkoiHj1mjZcf5ao4U1nGzLI6LhpejmDWkM/HSCZb0De5kGBArVusIPL35KT9E6LKZDLZF00OoL7CdqUyjDPDtWXDOd1oZLBSwmsZzCUjx6PUfvKQ9S+KP5fnpzs6+Ut7H9PtZoabjYwwG7i2yoNaqaArk6ctnSMeTxCJbEep1BGNivj9ERa3vcmmPZ0cFxERkntvvOl4jL7OdvL5CJIkYVQJaJRKbtjRQUc6wwJ/mFkOCzaNmumGMBtiaeqMWnKSCrMgoAKmGYrU6GJUFbppsphoUPewUTedH2V17G7/CQ4hRq9zMH1pHTXKXp5euZ7nN2bZHjJSE9FyY3mRTb09bFQW0GgFJg/r5Lg2FZMDz6Mix6iGYznZFueCwSU80LkTrUJiakeWiF/Dq6E496x5HFVqCwIZLPkW4iJoNIce5p8WixjHlqCttGA/czDpyh2MLqoZni2hUAxzZm2Qt/JnsFlvYk7FyfxfxoNg09ORCPDbGiUerZpygxmFpKJGEtHnCrzTH+Gx3iCZcoFcLjfgfO3t7URzeVb9q+O0S6NCK25HrzKh+VAn6ra2XexJNHNGfi0qTSlutxefb8GAYz3jCwHw7VIn/lyef3T2IUnQEk2izaV5P1/grXyAhNHGen0lJr+ekT0+7jJ08P22HkZMbGB+e4aGCaVMyr+P0zqVUvcwRLXEjmSa5fnBVNdPobOkSIN+JOtiKVQagXFeKz25PE/rCmx3CNR7zGQkiYX9UZ4PpAgWtSTzYab1LiOzPbg/vxaVwM11ZSwNxVkcjAF7g6rQv4I/mUwm+7zkAOoraoOvn0g8xk0NQ7E5HLyfUPDa8qVEAy+RzO1CaTgyk2emCiKhXJ7V0STHOSzoVUp8uTzFf/VxergzQCGcwaFS0hN8h4RQiUIBlZXHYDIladTEMWYfx9E4gkIwDYBKq2WVpObNVBXpokTxX7UEV1a42RrPICgUiOzdFgi9j0fI4lCreGz0IE7VKTjFbeOVtj60zqFcUFbGO/4AjwnHMqZgQqHqZ432NMxqkZFCkSahnSxKGk1ezpxUi12oYU+0i+ejLi4RuxCTMeL5DAuyY3m5agdew4/I9kdw7AiyuNtPShSZ6B5Ed7ZAa70ZW3UZTUYdLcIkgspqHNk+8toaZjut6HRlh7yWi/bdyJd2EX27g1S6DSpjSGVdlIavwpWdSLlyG+dounm2+32OVXYyIrkVbUJDR1eeESY9BgVkM3HW5YoMc5q5tKqErkyOsrKyAxb4tdlsWASBGQ4zyYLIq/4I9rLzOV3Tsz+oAkC3h3ahiozteOL20xEEAx7PwFnKz/c62BJPsWrzVq7b2Mw9Lb080+7HFEtysqqKgKTmVHORzUXoMWtYl0pw6VAP+vfrCVV6KJEcFCsUpOLtLNJP4nVVAWNFNRPtJTh60jQadcwotyMMt3Fnf4jJOi2pzhi+rjDHq0T01nbO8zpZHU3ykj/MRKuRs1I64goHRcFKs30s/aY0abFItpChKElctbWNEWYDTea912VjLPWZl56RyWSyj5L7QH1F/bE3jFGpRq1QYlIJHNfo5RGriktdg7CYhhyxfKyKJtmWzPCjGi/HOy2UaNWsjSZZHIwz22lhTyrDlng3JdE4tpwLW3YbXn01wdCrbJLqqEltxOmdSTyzgR3KGP5Nasa5VMypmgLsXQR5czzFd8tdDDXpeaa7kxJlhPnpSuYadxK1nkFfIIxbgHBO5NlEjrJ8nm6DlYvKXNyxoZ/ViQjfUrlYVdqPxWdlRuUU3lxzP53WrXgUWZYmm0jgJ7+7h+0GI98d3MgSX4bnlWZK+9ajKjiQKGeS1MdfDIMxJ/0kkbh97Ol0b/WzpKOHXYYUfn2MJnUZfTY3t7i34jBO5abNCc53q9gST1Gh0xzyWs7x2ADQ1dswji/BoxpJ8MltaPxaCjOSJDqfZWrxXN7p/oDqEh8qlZ1HhVNpKPoxuEws6gpiUasJq40ki7AjleXu4TXohI+vjbRaraQ2+jGM8mBUCZxRYicjWnghtZIm3d4AvLe3l6f66igzCpSqBfSqPQAolf/+atieSBPO5xGBJcE0Ea0eIzBbnSfjstK6ex2DvSZmWOop6whzVhDavXreblnGWTPPY3hOQDWklBN2hcjEnuaK0Nn0VKp4NxQlnDdxjF3HmQ496WKR6WUjMMZ68MUyCE4ti5ZvRWkv4rLXcffiHXx7ah07fasxuo+nlUW83T+dy1wGBGkjUsnx/HlPJ8OEFh6MlHG6x86KcJxULo9bq6VEr5aXbpHJZF8YOYD6CtqWSINCwXhTlhV9WzmrajRCdztX6NQo9thh1JHLS1c2j0ejosmkx/qvma7VSgVzzD60ajs9wV4qzRItfQrunDwaf/dy9PoqXg5rmWgskCr/PisCvRxrKNKoHYZam2ItKnYFY0zU9bMrrqaYDRAt2CkWJc7wljPcPJiiJCEU9YRSAheVOrm7rY/7RT91Rj1OtZpRZiMv9YURCyI3NtWzcM8rSDEbp1o3EtrxMqNtKV6OVJESwOOqpLc/wSgRgnE3j4ppRlgN1BcSTCgZyv0+LZsVaVqMx6LpkBiEkc6SPby1rJdvKeooaCQcjY3sjqcYG1NTYTWxJDCGJ9t2olaYqDJq+Uu7n3qjjtZ0DpdaRaVOg5noxzbrZXaEMc+oILMjhJQW6dPG8LW/SrW5krw9wmiG0B/7J8/pLuZ0p8CmhItnetvpz1djVGQZZ3WiUsAxNhM6QaA/VyAlinRn8wzSa3FqVAgKBRs2bGD06NEA5PMRfH2v8GCwhN5CLeqObpoUBZ7p/QCT4GRJNgdGBZOaBo4iXNwf4aXmNlZlIS7tneR0QrwZSWvCGpT2foFU+5iaHYfXD8+52zhlwigq0ltwNX2LRG8Kk97D+u4o9TYdNdareYko7/cFmWg1YVaraC/s4vnuMly9STr9vUy2PIm99k8ECgXOqB7Eo8X1fNdm5vn2MG/0R4mG3LwW3USbbQKJ6Boei1eQM4zibzs68aSLWMqGolPEGWc20Bxcy1naETze9Tx+z/E0mb85a0bKZLKjSyFJR7+XZSwWw2q1Eo1GP9Uopm+6jFjkrUCEZ/pC/KTGS2n6beyOaShQfGI/my/a9kSKltTeNel82Tw31Hh5MxjFVOhlgr2U81ev5OK6URyrzLBFZcej1VKVfougdgLL2+YT0Y5lvO9V8mKBuCXGsuI4bmg6HZPORaznfjL9blTUsdquQxNNcu7YCfTnChiURZZF0kSTXbwU0THZZqTeoOOx7n7q9RqMYpy0xsaeYAKPuIZRyTI2SSLXDtOyMbABQ8GOJu9Eo/CxMVrFLrOVcbnNLLdNRdfXzrR6B2PTXu7p24DbIqE2GNmaKDJHmeNtpZWGVIzBpY1EjVaGsRWvcwrP7FpAIlzFOZV17Ny4ifQgLzuiCqYOLmGQQYuuOcqeGiPrm/dw1oihvNT6Nlc1nnzQaQCkvEh6Sz/967qIutezaluemsYUb9rMlIRDBB3jyUZ9ZMo8XGBP8p2OKkQEKlQC40wGfmOw4Wpw8k4wxmzn3s/N8nCC0RY9xn/VSrW3t1NdXU2xWEAUkzy37kW6NHVcNWgwSqWFjo4Okskkj+c2MTL3AfOOvRtBMLA5nqJJr+PUxevYrlKhReRUKYZBSLHHNITTOgLoTSaiZSbGYqDLpUVKpOlO9TKpV0HFaCd/aEnQmBaordhJled46iwG1mx9ijhOOgzlhKOtTKmZSbDtcTZKY2h01/JuxwdsUZRxsiXNqpCRcc4Cb0fyTNS4WZyOMkHayhbVSE6WctTaYGWqg4jCg9dcxZZEBoVCiUVQMsFmpEKnYUM0SoXBxBy3jVKtGl8uT64oUS3XRMm+QeR76NEh94H6CtqSSBPMi5xmifNYZzMWy0i0GheFQoxodMMRzUusILI6lmSU2cAtg8u5s6WXMWYj7aKb9+Lwm1EzmFdZQVyTY6pFw45khntiE6i2lDHDpuck5SLyGj8J+xzGlJ7F9bVV2FQCCzo38axvMkvtY4gNHkJB9KG1l/KcL0R/Ls/mXXfRkc4ABWY6zMwrd/NOf4RQIoEkFfkgFqXQ2c6qVJyuhIV1Wh91ThPzAwbejJWQU0/jScMQ3tWWIZZX4ldJ6Nwa1P3NrBfMrOjcwa3dq2hyKdmVzvBKRMeGtIvnsl5yKSUTxBdR7XyRhmyCoHYU2lwLKpWZ7wwq4654mKpZ4xiicdJh1jA/GGVzOsOjNnh/9x6clVV4tRouqhyMKKYpFrPA3kV6V0US+zsyK9QCz2VX0lWSoyQwkfFjWrAOGkEgF2SJdRBd+WY2WxrQG2v5nb+C6lwYA1CiV3NJTQmLzHub15pMeuL/6tuzJBQlkN07QlMU06QKa3gnGEOpVKFSWejUjGNlNMKDLX0E+nux27t4W2/Hmy5gqL2GUGg5SVFkbTTJnlgco1GDmhTFfJ7tYgKdZGZGJMrmdIRQdyv/DMTQl2iYrtayNb4Na0KNekw1mwU7OXrIW3TsymhZtOc90n1J1hWnovJ5GNyeY2KgnFU7m+nXlFOjK2eiqCKnaySTz1DvHobdDI/5c5xbWUferOG8Cje9+vH0F5UsEEzELDW0FIaxI2sjIcL5Xhsnuaw4ir3k8mnmljgYZbUxr8zFinCCa7d1YBKE/TWpMplM9nnITXhfQc3JNA92BxglqPnTyCokKQGAwVB7xPNyZ4uPKTYjgwx7f7F/u9RJiVaFRS2wO5VlZzLDtniaSo2dvkSeM9w2HspEefO9H+GQNmDXD8NjtuLULqXFeC3HmpL0iHpUhTAXDdZDbg8W9ShUrkZ2ZzXU5tdSr5/O846rsQDxQhlmQSCcL9CfL1Jhs7Ijk2eorZKXc92coTezLi8wtriBhuhrlJjUTNGYaE8INBTb2KgbR08+waVVtTy/A04N+9jqKHK6uY7HyWFOmfFacgxOZ9HmXmdZ7gTMuhyt5nOJZSTe615Htd/CVkMMQTLhdpso6d/Bgm2v8kb2WCaWOPhOmZNsbxfHl1YystZLXzbPzmSGemM9reGddOZ1zCqpoVqvZXU4QDinZmZaTzFbYE6oiQ3NW3ljRB1ZzXAafNVUF1YzIvcy/srvYU3s4C3/YM71eug2OdHHfFxWUcVte7o512NHrVSwMZ5ijMWIGfhxjZdne0MMDyxkQvUcNhlmkc/kWBNNosnsxkaYMq2CIv2EHUNoMpTTu+lPOHNmxhSKZKQRPLr5LZ4Ou3lRnWBT2kSFKsqUhEDIaGBWbY6hJgcvh0ewsyfFGJXIuozIlJYAY7wmutObWbjbQFabZVBBZGrwPuYXptFl0hOOrsWqUfCwGUaqHSAY2BCIca6jwEvZHO/GszgMGhRxA1ujQWzKBFc4E5Rp1TRtjvBUpYpTtRBPF/mZXs9TLf38UtJys1ZBkyjydMtK6p2jGOIawtZQG0XRw+luG7GCyESbkQk2I2Y5eJLJZF8QuQbqKyZeEAnkCozU5zDnwzzT0UVX1+PkixK5YvGI5ePdUJw/t/ZyQakDUNCRznLzri7+p93HhmiSXFEiURAp5MKIUpFl/X1sj0eJh5dwjmoxPcZKVhRP5xXlWawJw9Daq+mP7+GJTVuoFIqoVDrKXNMoKzsXrcbNU4EcvYkOhrmGIgg6zrLvXcplcncaj0ZAE32DC8tdGFUCu+NJgtkUf6hSkkxtYWiug0EoWN55DB3JCYjZLehyC6nL9fC93D/4VaGbe9fvZnBmF8GJEzjNtYud8Y38XNuCJtfJuKiZ0Q47G42ncWa1ljHxKE/3J5ivcTAoU867Ph2eUAXnBwaTXZdEF64gl5nCaAWs74vSls7SY7CiVMDjbVsIdK3k782dLA3HWZJw4NS7AUiJRRo1OXLRGGG3Fl29HUWZEffIKFX9O5mtG8fDBR9RtRchq2LPtgihrJUhyhBvBQKkMlkykoExFiMPjajFrlVRqlWzOprYP4+WEgWXVLiZUD0HgHO9dmoMWu5s6WWEZxQqdxMqYxmV6k6qcutY29rLtKpGtttm8ELBzm/aAryfqSAnZejM6Bmn8NPUqeQsUeA0X5Zss4Jcbjez1EUuKNvM8Pgq3uvoZo/pH1Rn0wQzFmym97jAZWJj3svGsJ0FGjfRpISo2EGFo5sTygazVamlSl0gLOR4LOhmksVApV7DqR4rZ1R6cOjMTHQ3coquDl9XjD97JIZajQgON10KBb8Jd5NVKXk41cVNjeXMqitnuKKUqlg3kzfu5reNo1GpTLzkD3NXay9apRJT6n3y+UOvFSiTyWSfllwD9RXyrC/Ekv4oKhQoVDaC+RyJvIa6xutpzWTJSxKNxk9ek+yLMNlmpD2VZXMsxW+GVNCdzRMriNw2qJSdySz3dfq5Z2gVy/r62RJPc9Pg4ayJJrGYRtAT3MBJ1tGkNSUohedQZqv4YNfdmMMujinx8NfVT3LNuMt58J11TLAI5OsH8+uqct6JWolE30WnK2f91j5WGnJMrt7G8s52XlJO4n+aTNRLeUzFOKfkRVpica5wreEG/xkEc9WcUyvybjzJJv0ZlOejpKxjOMvch6Wzj4laDy6vi2CohRNVJ7Aj9zw/EYbxPcnKLKUF85BK9iQfIr6pAbWxgvJsiDeUebZUVHKb3ogvluVnke381DGCHeF+WpNFjlXkmSrmCee9bA63sylo51pHFQH3IOa5iww36hF2RxhZtXfR3lhB5NmOPZxtG4aU3EixMBrfmlbM5WOJxhYTyL3MLFMTT2QHM9MhMl90Ml0RZJO2jFiqiFeV5ZTKMpaF47Sms2SKEhaxwGZ/kJ1eB9sSGbRigYpYkJGNe5fJ2Z3KsDqS5O/Dq4mLRfSpdUxIKhmkmYDLNQI0MWrSVp7w9VFMCMxyOZi/rQ2tWWCmQcsM+xAKgsQu1XZqfSaCBg+arlJ+rMpgCFtxF7xYJAgkxrBFZWJbpkAxaEFUxNFrN7DWciwNXgeRDDi8p7KtKEC2SF8kxHK7EtFs5TSvA72Ux5soYnCrONfr4Idr93DH6Br+0J4mrZXIAuvDARQKuFLjQ6Xo5NnCMMpcZl7u2k1bwUJEqaPG6KS8xsHLHQFOcFrZlkhjUan4y/qt3Dx+CmrVoUdKymQy2acldyL/ClkUCPPTLVsYbi/lJHMAg8rB6aVeFmxqZczQBuqPUPC0T382z1nrd3Fx2d6Znh/sDrBwfCM9mRwL+yP0xltZn7Uz0Wqm3qjnfDc07/4zr0W1zKk4lYhooM6l48mVnRiEVko9IXxxB03aPoY7z8HfraTUY2NnvJOhZVVsiSzG7Wmkyt5ANLGLXZEutinHMMGQZ0NwD5OcdWQjKarLvdy+xc/MZIAVis2E8jqmCh66TR6m9f0CffWJbE6NIC1W06TfyuauHH0WK5mEFY/diug0Mq0zQ2CYA8/WPjB2sElZwnHGNI9LHtZ2xxhkbKdW9FLpsrFKZcQezRNMZDhPWM0V+QbKtTEsaYGsRsvx1YOZninyYDHLT+vKCOULDDPpSfxrBnCtUsECf5hlPQGud+ioqakhne5E3Kqmt/MFVNHx3GvLsVHfSV7SMkSboFk1nAmRNtorR9OVzpDJ5inN55lisTOo2kGNTkNrby/nDKlDEARe90cYZTHw+O42hlqMHFNWgu0ji02/GojQ39ZGWrcHc6GTb428mts/eJ16pwFXNsCCbi+7c1pSuiLVUj8T4x6GehzMHFbLY+1+phkUiPo+HMY4Sz5Is7pEhzsTps+vZYu3GrNOwJ4vkIptJKMZjsWYoN5Rj1qhoCUQR1WQGKPOEHe5CRdEdCoVg4w6hvX3sFyTwdCfwTtkBI81++gSC0x1mMlLRbKRJJsLeSarM/i1LsaqminkvbyPkXtG1nJ3u4/Jwk46uzVMHTmOd8NxnvYF0SqVaBQwwWJilMXAiW7r/s71Mtk3iXwPPTrkJryvkPva+1CgY3Y+wQUVg1nVGyIvFjl//Gg2xtNHPD9rYilOd9vJikVe6QsTyYn8s6eft/pjPNHTS0Th5v+a6lArBWbYTLzStponVFexPjiOZ/t2k0xupWfnDgqaTegVz5PL9mL2NqC31rKl607etm3m7dan+FOqj7iwnpraOQRFgWw2RyS0lD7teGY6zAy3l2IwDaU9ryJgENixfTmoFNyrUpItjuSnQ06mmQI7473sUN3CkuzpDDHWo8lI9GrHM3JwBm9uFd+d4CIRLZBPb2OlDurbXmG7w8DTQhmlvs34++5nbSjCL0tb+EFljg8sLrYUlPTH96DK9tIvddHgnMXTfQZmiGpGV5fSjpG/tPXy13QKm0rg5l3dCAoFSoWCWEEkWhDRSAqm5gTO8dioqqpifl8Yna4C3WAbSxwjeKxkG2NZwynRFZiVSWqz23AWtrIpL5AriNjUKpRqBSeZ/fx4fB1pscgEm4npXjchsciKcJw6o47t7e2MyegY5XENnCgTKOZEpluNXDxuJKPNSjZKjdy+/B382lq6YyW81uKkV4wzVq/jHLWGk7VGLj1rCm8bJLJmNRe41aiTBd6OhtiyRos/qUJbhBGpLYSdbk62RDkp7WNH1scohYdxwnaskpU3AlE8uSIX9hfpSITZoTexLZ4kFYpxg2DkFJeFFVYPO0U3Hm8DFpWSghpm283sDsTZlclxjDPBDx1u1mYMWNJJlKYq1qlNuHMF5revY5LZSKtyOO+bSvmfnasxq5Rc6HVyosOCoFBymttKvVGHTil/3clkXzd+v5+rrrqKqqoqtFotXq+Xk046iZUrVwLg8/m4+OKL8Xq9GI1Gxo4dy3PPPXdE8iY34X2FPD2ugTtaehniMPPDrTtozwjsjLTT0Brn1EqAI7eqfLZYZFcyzSCDjg3xJEaVkh9WlfBsh48XJjWRFEUm2UxkRQmHWmBZNE5zpIzvN3mg+gTi0R5eadvMqfqlzNInMCTnsjS1nfHCo7yjOJly83VMKqTJexZys17JU5ttiLUB3Ao1+v420noPwWyaGs/eAG5HPML3HRE0Ug0bXWWU92WIKTNUWvUEl3WwrboGe3gbbrPITCnI4v4iIV03k1V2nJZK/l9fFZFuJbXBl+krG0vat528ZzzTTG8wUVXHK31RyutO5HZbJalgKe5giiZjlpEr3ueY2hhR71iceZHN6q0s0xrYllMT6I/w43I9byZMNFoNKIAqhYKhpr01hfsm1pSKEjsKeZpVStypLKe7bfRuX4ApM4ZZBQ06+0zujLyNQ+vhJ/Ywb/fMxaf04zd7qUlluUxlZEk8Qv3YY0iJIsZQgL9mMlxc5eWp3iDpfIGryp0EzVaa9QqalErqDFr6/K9jy0xDMKhJbQrwijPPtFSB0qoi+mw7cxvOpjXeyoKWfkwWH9/tW8QGzfeYXG+kUDKY19btZFhqO6t3mBmq207I4KCx34fFaud9eykKrQll+XdpTWbZEk1gUaoYZRR4IxqhVFlLLO7nWLuXnn4/k4eXcE63mqJJR7p9D/aqen4eDeIpJMhkCmwIdFAwWLHmbHTGtiPlBrNDLKCPZvEVtFT1tuNxOzg+u537O2s5rtpOOp7knc4kLncYTT7LZVUVBAJGOnMFFofj1P1rTqxHe4NcXuFGlCQEheLgb3qZTHZIYlFiVWsIfzyDx6xjYq0DQfnlfqbOOecc8vk8jzzyCHV1dfT19fH2228TCu1dXuriiy8mGo2yYMECXC4XTzzxBBdccAFr1qxhzJgxX2re5Ca8r5i10SQOtYpQdAvv9DlpYCUxJnCWV4HJO+iTD/AFSBREFEBPNse97d00J5PUGKycWWLngeYOzvdY2Ykak6CgUJQYbzWxMZ6iO5tnqEnPlkSKH5lXIwiD6IzGGKLz4u9ZRF/mNRSaCuyOcpSmUfT4t6GquQaiS0D0YjOqea49jN3dwHHCMqK5JG8zm3q1jkjBR5UvRW3lIHrUfahjHZQZG/nfrjjlBRWrCy38omICa319jEwspMTuZId7JK5sBIc5wtLtRsL5NhxWCVtcxz+LJdgNJm5srOenu3YzWNFFk5RhfPdogoOa6XBO4NhilERuC+vFqUxw7cZYmMRNbS3MLnYSylewPBPH5zChVhnx5wpMUhSZN6yWWU7rgOvZmc6SkyQGGXQsD8WpTkVRRLJYUgY6ds7nFc9IspEF7DaVs1U9mNnaHK8VK8ijIF8UOc3t4jd5HaYmA093bmGTWM0VFW70SgVVei3dfbtQKxR4PPV0prNECiJ5SaJKAy6dkWIqTyrSQV/6ZRKJWfSVVXPdxp0YCzFOi4l0eqArnOE8aQ/NIozSDOWN6sFU9bfyX45hJM07kMISQulI/m/5Ds4a4WSh3sWwYjPLOlW0FlV8W5/jcbWbKEWC2QwXOeNM17qJbljNm+WNjCytROxN875ZgT2Sh2AKUSthrVGz1b8bi6CntmQkXe0b2KmsJJVMMlqvRIeRgCbHhQqB/5cVuXawmajaRk+2gC4r0pPqI6y20Ci2UlEylpe7QsSUMMVmxF8QObfEwfJInO+UOrGq5d+Lsm+mI3EPfWNLL796eRu90cz+baVWHbfOGcbJTaVfyjkjkQh2u50lS5YwY8aMj01jMpm49957ufjii/dvczqd/OEPf+Dyyy//UvK1j1yn/RXSm80xzmokums77/WrOF/VTkHsQGlsQ2M9cjMo9+cLBPMFtiYy7EoWSBcFdqSyvBeOc5vXQregYbzVyGynhbNKHMREkWuqS/jtkAqa/J0MMWjZpZ5NIGFBco7m/j4fXTYX75vmoNWWotXMoa1rO8rCUN5sfoE9PbVM9ozk7YyX2ybNwqvX0pEfR0e2FK2iQGOki6EGiWBtPR7TDo5xeBhdWkGMXZxU5WL4kHKsxhJ+1tVJu1LBcs+JxONTWBlQMWzQKDbEs7wqSqw0NNLUewxlhlkMS5k5vracZza9zPeLiwmkLUwfdR5r3XHC5cexsm0V77y/jfcLNexQxXilp4Vnw1sQNUmabVqWKtKUouDCMieVUo5qZRGnJXNA8AR7R991p3PECyIrIgncHg+5cBbjKA+7HI3Ekr1EYlUUlAKmYoo3cxami32cYtBxsjpIlUaDwqJD6lPSoahjlElPg1HHu6E4kWg7QX83NpsdAI1CIpRNMNZiZF1i73xTkgT39Qn0Zs6hsqqKte0dnCtm8KgtDE43Mz79KrPExWirXEzWhpkyJklNuJ/vZfO8k9/OTqGJW7R1rGtvoafKy0NKC2ol/LXHhKu8HJ/ZzGKTlh97djLGYuRiq4Oz9E1sFQ28rqvBknoPS2oDKsUeznFZ8Gd301phRFFqIKMwkxRqkDQ1vOAL0gH8rtTA3xwrGVXSwTqSTAz1UKNzcKYry7KOAIt8ezjWIpJUJpBSOaoUvZS4hrAhFubGIVZmOi0kC3mqdRpGWQxcU1UiB08y2efwxpZevv/YugHBE4AvmuH7j63jjS29X8p5TSYTJpOJ+fPnk81mPzbNMcccw9NPP00oFKJYLPLUU0+RzWaZOXPml5KnD5MDqK+Qh7v72Z3MsNNZysT2OFvtQ1jQ10h9dg1ia+yI5aNGr6VKryWUz2MRVJRqtQw36TjVbeW3oTRLgjHWRhM82hNivj+CTqmkK5Xhn5u287bVS4XvZWa4bDwravCk4zg0pexMxWjOWFhrnsvGnod4vdjAsmKBi1w50pYQgZZ3sKpUdLQ9iCG5jm61GpVzIseptpCraeC9kIPzNAYW9OfY3aviufYUUVU1FWoda3cHOLNqEP+dfZ+hHYvZHOuh2fQPEgYFoeg2KrSjOTnmpwcNqz2v8LB+J65BYTpb28jQxDrjKdjyTpZ29VFtc9PcHKTfMZZmVw1NwV4uMuoZoRvL5foSLgh0MAEHjeluIsUkCzvbUWjUHFPqYWvetv8aBvrfplCIA1Cl13Ks00JaLPKzulLUKhUFo57F87cRTG1hTG4bNSorgUIVu9W1xFR6tigdnKLqY4ZLzXi9gt3BXm7pC3CSWodeEHjGF6IIxKQi91BOQDQDYFcmKGR7ADjRtTeYE4xqvC4jC9Mxvr+1nfcLSd5W5zjR1M3y0sF0CdN5x3Qqz3eUsFQ5gztaGpCUWlpcHt7SetmoUGAP+Hk1JdKjKhJMZ0gW8kxxRHgtmuKHZQ7qVTaeDjXQUCzwVlsbbYmX2dqWQLKU0FAxjTd7zFRY63ln/XZUjnpcOjXj9G3050WaMnGG2jRcatVgxcMf0hJP2c4irR/LMCnDWq2HLaYMTyWKzG4cylRDgnVxgWfb41g9JUwsHc1IWwk/KNezNJRgbomd1WEf0VzqiH1mZLJvKrEo8auXt/FxTVX7tv3q5W2IxS++MUulUvHwww/zyCOPYLPZmDZtGjfddBObNm3an+bpp5+mUCjgdDrRarVcddVVvPjiiwwa9OW32MgB1FfIT2tKWRKK8WIwzjPuOMVkmj+Xj2RttAxxiO2I5iVbLNKezlFn0rIjmeENX5i3e/dg0AiYVCoyRYlpNhMWlZLOdJbd6SwJo4WsKLIu3UQs1snxiq20irsZp3yGMf1jmJlrxdi6iUXKCZTGXmd4IUGfshYhX8Z6xzCE1DrKLBfSnnIzJfUAnngLPtVkgukIP0yp0ZjVjMmksTr0XD5yCrNLhyGEguhKTeTFIjcZpuLxTiKkLMen/Rbnp9fS3/0EumQ/00adggE9g4IC5e12qgNDWI6LYZlX2RzPEfca0BWSPBRIU5WIMiMW4WxHJVvSJXRr3WxWGblnzSYEl4fKZIRGjZ4zNDYGOTxsjsV5taeffwyv5Rnf3nZ5l3MWKtXeoGZ5JEFKLPJQdz/ZYhGFQkJb4iA12k1cn2KP0MTjNVUoVBkkqQgoSSmK7FErKVCHr6Ckdng1vx5Xy7JijtKOfobr8pzrtVNlq+UHgopV3XvnN9JoXAxxDhvwWvp8Pt5q7ubVlMiw+E7ckTbMBYlwawvnixXU1ExkEHG+3TSYscY+pmiTKP2rWda1nK54kbmlNtweL8eUx5gkwAyzkfU+P8PcoxAUCmLBZxmvV9Ea62FHIsllQ5P0tI1nkmUbIxMSLf4Q27RmXs0WoKSUJruFyizMzI6lIZNloaSjNREg2v8WrSqJbKqVxf0R2rMCAWcp9dkcL3TtYITZSZVew+MRN0sjcSrMRbp3Rfn7rjX8ecdu/tCRJCbpOH7VDo51l6NR6Y7oZ0Ym+yZa1Ro6oObpwySgN5phVWvoSzn/OeecQ09PDwsWLOCkk05iyZIljB07locffhiAX/ziF4TDYRYtWsSaNWu44YYbOO+889i8efOXkp8Pk/tAfcVsiSV5YHcLir61XOmcSG/nE7TVj+OyUXOPWB5yxSKLQ3FyRYmcWMSjEfhTSw8erQJQ05nNcYzdysluK8/5Qlxt17MyK/L37n6m20xMKG5Fo3XzZmszV447lid2b+CCIZNI9D5MN0MRij2oY37CijnMHeFi8esBxjmtSFPK0GdE9IEMVOZZ0OvjnKrhdAbfo9Q6FK22hD3bVvO2UMbpmxM8V6EmJ8U4duhgMtEsikgn2zZvZP7gCUxX9TNWaWJzfBN1hTLqLB626newMBAikB/NcQYb8UCE6YOb+Z8eOzeNqGJJazvlqe10hSp4p7SGc6wF9oSg1m7j2woHz/SHWZlPc77qdyzM/ASvJoRGXcJ9aPlldQkGvQ6LSuAkt23A9RTjOV5IJjjGZiIhFjHF3qC/r46amJ0lbGN1Yh0pMcYi1cmUil0cq2ilpmwoNREbVsdQPrAKLA51coyhlEssVrL2FKKYwmaqAcDX1YvSbOGDRJI55Z4B5w7mCry5tpknMv24jAYGtW4goQnRatJTCHq4cayZ3Tu3knLZiPVF0Egir2mrsTiGYw/0kLF6GWbS0K8M0hHOMrm/yE7BTMiT5nS9HUNOwyaLBlMqwXZRpN5dwgVWMyt2NiO5vPy/9h5OKWSIq60sVYmc6U6QiiiZntnFC64pVOZ6SSVsqF1K/LE4le5Kgn0+bGI7F4w9FmN6I7/319GZzmFM5Si1Rtme1TPM6mZlMMqV3iKr0zbOciiYYleyMmmhNZ3jwjLnAdM4yGTfVF/mPfSlDd386KkNn5juf781mjNHl3+h5z6YK664goULF/LOO+8wePBgtmzZwvDhw/c/f/zxxzN48GDuu+++LzUfcg3UV0xfXqRCG0DhKmO5IcSzltM4bciJ5PPJT975C6JRKhlnMbA+msChUXHl1g4uLHeTklSsiqWo0WlRIrEnncVBkt+172KRz0+NmGecQctQu5q1PiPHDD+OyOb/I5DsYMn6G1jRlSSf3c5M11T03QIlqW0s2PlPssP9bBqqYFXPcm7r8bFbt5JH/DCttJGb9/RQ7Z5Bb/PrJBI7eT+nZ6jbgmJiCSPLfZzRVEmNUmJL82bSTon1NR5+ZXawNWPFa1CgrjqJHnUlSUmFJZFgfBiOyRdI5juoawizRKrkbE0V6rYs1048laJtFq12PapskqC+jmFuK2WaCNHcAsobzVyktyKUfIfbZowhbyklmstwkdLEMaKEXUjT3xZldfDfza07kmkC3THO8zqwqlXsSKbxes7EltLyuDLCn7IaXhCms1M9kYhaxTZjA72qas40zsRaUkpVTsGFVW7+t6GU0XHYpJOIKGz7g6eX328nZrdhECQmqWGJr5+7Vi+js3sXz/QG2RBN8FT7LvQqHaUGIydWNmOrns2Zg85gaGmSZ3u3EaiZRjAtkOm1MrF2KE3qGi71emg3eDm/vpz+rMDx0Z0Y0WCuGURviZlbQuVodC662YU+lGC2ooXbytZxsmIDC3cG2KAw8XwwyOUWFZOHDuIEp436opLlUSvVCjcPWCZToczjQWSjKsKCYI5gMUlpKEtddxuKbBV/2rKHd/u97EhmSEsKvHYDHVIpc50VnFliZ4jZyPsZGyd7bNTZvdiM1cx0Wrmm+sA5sGQy2WfjMX+6mtxPm+6LMGzYMJLJJKnU3mZ65UemKBEEgeIRWLlDroH6iskXJTb6+xF6m3lDU2BiuIIQzUwfnMbrPeOI5uWKzS0E8wVmOcxcXuHmh9s6SBWL9GRy9OXyjDTqGGszMdpiIBZdw6TSabzcvowarYLNKTWj9UFGasv5446NFBxDuLTUgCrwMO92V1D0VFKe2YgpX01JwYSjRsPS/vGcVLeb12MeRqWqcFRasOgz/HbXbn7R78VvfJKaMT9Gq9XT3LyIDqWXoU6B9bEc1eZagiK8E4rx/S6Rv6tWoU/u/P/s3XecXFd98P/P9N7Lzs72XtVWvVu2ZMkFY+OCwdgY03sJeQhOKIHkCSGUJ4EEYyDYdBsby13ukiWrWHUl7Wp73+m9z9w79/7+ECEhkIQQXH5k3//opXndnTlz7z1zvveU70GhaMWrWkbT4iEW/Do04jL0tT5+mjzB7eU5Yq7LeDhXYrnxZaxsogMnZwvDaA0ttDa6KZ6PMmhSEjHm6FFH2CRmmdWtIBHOMmbPcyHr4B96mjhcSLLeItDnbOdAIsN2p5X7Qwk6jDp6TAb0KiWSVObBqYOsrdtK9EeHeKYq8mRLDXFENNoiK2QFYQVcr9cj1zViiSTJ2Qz4VCOslnOcDjWyZaAPDWAyXEyVcCFXxK/TYNOoeSSSYu/UHF9s1TOZVIJFz98Oz7K8IhLXqZF0Ot5rVNDds4y7jr3EPtmIUxxHoMKqcpikaSP6QpppoxeFJsJaZwOFuJqQ04qqUqRPeQJHbDlnHCp0ZisfqlPzwaEFrDioNatJzw1RVVbIOnsIB1Mo3BqM8QSqshqXSU+v18f30xlWqbUUCxUkYZKwqpFlNVleSuv5iH6R50u95FXwQd8UFyptfD9V5T36Ki/ltCxrcpAoVZhPlTBZdXQYdAym57ln1bpXtV4sWfJ680q2oVVJZsvfPk8oXfqt86AUgM+m59CnLv2DpzSIx+PceOON3HHHHSxfvhyLxcKJEyf48Ic/zFVXXcVdd91Fb28vtbW1fOUrX8HlcrF3717+9E//lMcee4wrr7zyD1qef28pgHqdOZbK8ejLJ2hSKyg5M8SrfXza60bX8Oqfl9OZPB8emkWrVHBbrZPvBxJ8rMnDt+ai1Og0xLI5NHo9N9facRDhh1El2tIkI1ILX+pu5vTCCxTyWSK6Bm6w13E8+giXGYNMZkSiQpGE2s0btQqaeu+gfKjC+fV++lOLDJvMUDzN2sar0EpQpYgch7j4AuG0ntFSCGfNBlSZMzS5mzi4KNLsbeVsBeRsCvd4kX825Vlt1XFprQ1xNEOlEmDY3oxfnOGfKx76fVbqg0W2ObMcTykp+LRsqeiIuP2YRid5KR3H1t7CvpzMJ9otaLUOFianuaK3C5UcIB2N8Y1AGhcN4NRxZ08z2l8+BZ1M51ltMyFJZX42eYi3dlwGQLEqYVD965PSVw+Msq80RVyh500lEZNlFI25n+0XRkh37qLZH8fprkUp6Hgx8CI7W64lU8pRrVZ5vFDFIFXRGvRc47Axd/qHjLRey2qrkV+MTqGZnOFurZ6cWsM93U38cCTAB3w6ntFUmQ1rSKkuoM1rsSvKLJo7OV/I8jnDE0hxkW7/uxmvnOFbRTdrqqPUKNrZ6vDzjewcMb0Ta3aKNkc9XfU9nDs/ybSjgrrqwqRQMqBZ5PRMlFFTN0Ut6Eo5tlmNBCoa7FQ5VMqh0luIVAVqVGq63DYWA2nW1GZwVSwMNLXy5PkAx1Rhrigbyft9bJLAIcS43+RBp1CgVlRIV1WkRYk+o8THWl+d9B5LlrxevdJt6L+swgN+LYj6l3DpW28beEVSGZTLZT7/+c/z9NNPMzk5iSAINDQ0cOONN3LnnXdiMBgYHx/nz/7szzh06BC5XI729nY++clP/lpag1fKUgD1OrT/xYOU9acx+LeQHjKzqttMfZP/VS2DJMvcF4xzNJnjqXiGv+ms56FQkjfW2PlxII5No6bNqCNaEelSTqEz9ZEoFRjPJXFKIu+vhy/FPAxYTOydD/DdFhc/iU/jLZ1gRtGDymAnUDTQnLuLnXaBxvp3Mzs+ittq5EB5gLcNtCLLMouDYQwNY5ilZVT1GZLD56lbfxXxmRRfTizwJr9Iq7OPr48cZa23i8ayku+cepb2un72Fstc604zF1mkfl5LpX8NTlnBdDLCjc05vIkWviScI56ysKLGxdlknqvKDsatUAoOcvMqmX+ILuMvahL4VSsgUqSaKZNy7OcZ3TYmSmWMGgW1Nhsuo543qPRIBQG5zsy5+ChzUg0X8iX+ou3itXsxkcWpUVGV4e7BOfYV0+RVKlrFCFq1l+bYJG/csAmrqohQgEadjeR4gKAuRVRl5f2bVgOQPxlG3W8nHo+g0Mxh1Jkx002xPI/Z086fHDgGoopsJUev3ozWaOBoIsX1lRwzrT7SoXmyhQCDmhZ6pTIBVZVFjUyTVqCaMXClvYONbS5+MZfEEpwma5PpC+ZZIIPKH2Rcs4qpXBWpbMZhs7FSr+KuRIYOh4loEXqyRTQ2C3mlyHoZFC473tBRvq1qosFQ4i2NbYRELUenIyxv8FJfzKBwu1lts/DJY+O02I3cYpjFbm5npiQwlsxQNtsIKNWkKiJuaZF2Zytv9vuIV0Rc2qXhuiX/u/2x5oF6vVv65Xkdku1B4mUr6lwtV5glfl6e5A5e3QBKqVCw2WHh61MBzCr4/kKUj7fUIsgSCoUCs0pJUZJo1GsZKbVQWxGJZIZRSzJeYzOfWQBlOUW7z4lFqeCB6BgaIUx3diO9wRx3+4cxuC9hk20DOnGMUKXABfUs/nI9l3iPERsPcURn4JjOzZ8bu/nu+ClaFhbo7btYecdzIRosIs3KFLpSkSvzGiYicSZFkZrWDnQWC7cIReyBKgXFahJtEXakz+Gsaedyd4D86QUElYHLewYYzDxLv9DGDl+J0WwaXT7JypYuxoNptpbyZJqW81wgyZuDIvnOCG71VbjzJTpaXSRTSQZ8Tur0WlQKBT8ejPPmegtmpUS0JLBQ/NfcJducFmYKJb4xGyFnUaMRtdiEMrvlcUKaJtZ0ryVxdpbulY2cQWZy+izX1ntoS3WS6jDynfkIb43ImFbXAGCzlcmJbvYGp7jSViVSqXBozIhOJ7CQW6DV5WNDYyM/GA9QLAj8WK8nM51kc1FBxNCD1VtDMp/jmmqFmLZKNTnEbLXIaGqU+eM23tTWzvlOJYdCJSwDy5mIRKmpDDGKhVXSKIKujmekAtaoEodNR6NGwlNVkrVaqJOOo9Iuo2zx0hWpcNa1gVVylUaHiWfSFZo1SbY3axlazOH0GWnV6fjbqQD99XbejwFT8zai+QDn8zGmZSeNOj21SgVujYYecx+txovzLZaCpyVLXh17+mvZ1et71TORv54tTSJ/HXp+1slB9WZqtMf5ieost7j7X5NyNBp0/GOLhxu9Du5o8BIVRKIVEb9OjUGtolGvY6JY5ngyR6BUxGpoZqN/HTvUGt5h0jBTznMwmeFad4V2nZc+1Sha8T4Od8RQ6LrZoDiOIXQUi7WPYqgW80w3Q5btPBBzEAwcYJkwxO5KkUNRJbVaLc7mMnXGWxHCeUjezR5NnEhsmMnJKTq7urjU5wRtDK8uTyi6D6PGzHE8PCksYq0kOEWKH+fKeCYHqPWsY9Eu8vCJ4+j1bayqnaIo2JmxuVlu6iKqcvKtqo7GRg0zw1H2TA3xkDfB+eA4qjYXWcM4B46+wFBhhlBZQKVQUByOY7FoKUkSPe4+GvU6/rqzHuBX6Q0G45OEc2HGYnGMYoKPVtIsVNysTM2SC0zT0uigTe9GbTBxma8BX10v3lU1OKpHsKtAYdfxWDjG588dQGNo5UjJyy3tO0hZenkkaee7F0ZJF/W4yxL1YwW800U2mqFPUiBabNyRu8DKegcddS66zHqUJg0HTXpOarWUHC62qycZNhuxtrdxaCzK8EKa5WorkekJjle16ASRvBwlZ13BSKXA2sI8c3YLyxwu6ss6qjo9V1vGsRqdhJQWBmMJnreUaU6cxGfVUZUlzCoVV9a2sM3Twl+sbsRrszJVKLHJbqbPpOcFE9w79jQvF4z4LK3YDRqu9V3c0meV1UinyUCzQfea1IklS/43UykVbGxz8caVdWxsc/2vDp5gKYB63ZFlmaN2N3lZ5q7FDi5Lz6LQal+z8phsdlbaLVzIFanVqhjJF/lkq59LHRZWWI3c5LNzXY2dYKlMra7Kd+aDjGlk+psa+bvmKI5MkJHFkzyfDjCj245rxds4rFjFx9wGaordWP0dlLIhamNaljnXUKOK80JS4GFNK8kFB2Z5H6vNY9hzUYYN13BaqnBXOE679G5Mej0PCpvIWqe5gApFdZCV4Qu8t34DtrKdzcYwDW4bHSYPb1/WgZFD/KXVz7h1lv3WOMvtLSyvCdGoOs2fTAj8JD+GXWPApEpTyh7hcp2eqr6Mxm3gwPJVDDSE8Vl2MjgU4N6ghRFLIxtrV9H2y94QZauNa1q9mNUqZotl8pLEfcEEWbHKTT4ni6UKfx9UciKnJFMtkFCZeEibxVnSs7bWQNWcxtXczOn5MSbn4pQXM/xicIbxZIIia6lXRsgoxmnJJHGYu3g2lubaGgcLkRd5cmwCS/wXXKdJ0JxIoHVIFDwePiqlyBvdXO+vZ5XDjEtZwJ6pssVpJlMusUcnMliokM5r6FXU4/FtYK3JyM2n0hx1lziuaeM5tRN9dpSVRJiw7aFW6aa+rKLqczJm7KKYzZOdneMJMUOsWKU630E77WyNR1GbspwVRQz+bvanCrQqZomWsgznivzjdIC/vTBNoiJiVCo5ksyhUChwqFXc3LETo1KBVqVkbY2Nc9kiZo2aZRbDr/YYXLJkyZLX0lIA9ToTKAusMmbpl85xuXMOe/tKYpknX7Py9JoN7PbYGbCaGMwUUaOgUK0yVSyTF0X+cnyR48EYRgoki3F2qs/z4GKAH4aS2LVKDkoWAvYdnBCtWIMK9g4d40MmBd9b/AU/K5wlmRoiEPkZ1dbjfEszyBNzBT6gNnG1pkLCWuCAYgtCqMIZaZ6bM0pW5BV8qLeebxckitY1aDVWrDofqXyQw/JqTjVdw8dnAqzs3UNp3sHHl7VwtdvEP52ZJMH7eCL3POPBGcQxKwdGk3SUV+ARw7zZMs6u7BnSi4uoHX5iEyKnChKt81NEQhFG00U+c8HHeSnPP6tEBhAQSVGvUvFc4mLags/NXtzO4IFQgmfjGXZqdHh1arJiFYBvzYUI5gsURYmkysT68hTvFIMMiCc5FEvznpWXg1JBa5OfAesEHp2RlG2Rr4ayzCnU+G0dKEyN2I1Gbqt3c4XHTqEqcXewkfFChpRgYahkZVQ3TUVQU/HPYKim2TiW4OvhF7Apcvyk5Qr2mR38KF6iyWIhkjSzVm8nqCrz55UqPyrECZWVvKdZ4oIIWbHAtVo1p811BCkzWNFwoSyTLYtcbohxe+l7fFGTY2NgnAarh7d6HWi7nCwYzaTbW9AW9dxm1tFZ38rfdTZgN/fyha42frq4QIcmwrFciaeiKY5nCji0alZZjTRoijwycwSTWsXhZJ6KLLMxKrJYKmNRq16zurBkyZIl/9ZSAPU6U6fX0mprZlrqwZtuRx9pxOvd/VoXi90eG5e5bfh0Wg4ncyQrAvtjGYxqNZMqNQM2C7aSnWn1GhJqO8vMRn6YW0U2EWG9QaBYMfINg4HmnmsoC7+gXy4haO38nXAr87qdzAeDLFdo6HCkOSYexJZVUR9c4EbXJBntKBrTMmRJRtdqQ1ZWuantCZyVc6CRmZSMOKsurqxqGQ4Ps82QxzX3ITT5EE/+/HNsNISoNRlwRKaJiTUsKttxZBfZ0BGlW1uHr3E34bAGn1dHizjLw6k5xEYLG7VBHs06qbRaySciNOq1+BI5rj79j5xUi+zIh1mUJMJlAUmW+YLJzvGFJEalkje6LAzOhjmczFGVZe5diPFcPEutSoVbkeJ9xWdYUDZw0txEbVs/q11KJp48wwqLka+NZdDM6lA6rdxkX8G32hvY5nFAusK4qOWIysBwrkhRkvn46RGWLcSYS8dQhlq5tXSEHkstd/btRCh00qT28PX0NO8jgz6d4Fw2T6/Jwmi2xES+xNYVfg4LRZzVBF+xVYlnGzldTjMj5NlkTFHWKziVH8VZ0hIX7VxdMrOmUEEdjXAu7+R+6Sa+aqmD1j6WUUFSTuB0G3FYFHyw2cu6liZu6+8mkRnhpYWzfPz0MH8/MsduTw0xdQM/XW7lao+VVuPFOWTzhQpug5uMppOXU3lu9QjoEDA0WXl3vee1rgZLlixZ8itLq/Behy6MjHDPbIRPLluJ3aykWJnB+hrNg/r30oLIw5EUh1NZ0hWRVqOWDqMBdTFPo0bFE2WIxMeZFWTea3Hjq2/hqfB5hMwQEZUHa8nFmFyhTRjBWq1lo2mWmD5Na/ocbl8nbu87OLQwxXw0y+UNx6mX343J38CX5yO8w6VDDp3gOVOZ7dUSOosXd/12Hhgc47pltUizSk57NNQoczjlCNFTGWyrO7DpVUwe+zZ/X+zhr5ZvJ//wJB9oK3ON0sCU3U596iiD5RzdthXsUJzli4F66p0idouBNkGBV1ZzaXMn9wTLPJcvEMimMVuMPL5lBVqlkqFckUadhrOZAg0GHX69hjPjkxitFnp8NcQLRW44eY6pqg6rQkGuUqJFDPHm+eMsM3kJbbqG8L4n+MAHPkAw+Atqa9+EVBAo5gSekctoTx7hiiuuQCqIFM9HeaJJz00+J1+YCBAulzk7FUIwyvRlYtSrgyyrzjJou45H0bDaYWK70YAcSrM/m+SG+nr+KhFhnUXN+YoWUzrMpbMh9nb3kZQlNjFOVRlhJLcajUPF1zzz/HRcolh0sKdZR0awMqWH0+lFvBYrzOfpbhQRNd24Cjm6uzo4ly2wTnmOsyznEqeVuCByInAYMZ/noNSEUW9jux2GAlPc1laL19zMs8kS0bKAN1Yk6dCj16k5nc3zxUYJrdaLWm1iXzTNHs9vbta8ZMn/dktt6GtjKYB6Hfro4AQfNClpb2hCzBYoy0Esns7XulgAiJLM4WSWHwVinM8WiQoCKy0myvk8LVaRHTVtvMGjZ6wg0WLUc/PgJH6tAjmeYqNtjoykZ1hZyyUODf80XaSWIZbLEht8FR6OtXKFMoRWbEeMPoRQdwOd3cvYOzbDFT2NmEJRpKxE1u3EFP0RTtM1hKsFtG4dw1MRYjol2yrn0Nbr8ftv4PQLJ7hbFebNnVvoU8mkDEqmjj7FN7Q27HkDDpMTSzgFVhM5tR53YpH3dK/krkyWolTGuXiOHpeKrcsu4/sTCwSlKGZ8TGTjmHw6rqrvZHW1hKzT8/hsAFOtn1vq3PxgMUYbIp0eN2cyBdqUEt8JRXgqUcQr5zBFwwx4VZwo13LfplUcOfszMo1X0WTSk8kcJyw0sMFZgydcwdDlRBAE8vnzaLV2jMYWpvIlPjU6z9XiyzxYWcn73Ba+EYxQSefYLRTo1omo9XbUmjqOajPMK5WcLWe4uaSk4nKSKgxzRGpCW8yzpbKATZ9E9GyiOH6El/0rUOut1GdlpqUY/boCeVMbvW4nN1SzPBV+FnW1h0xuhGsvfSeK4Qjng+Pc19iEUJXptRgZyRdQouAmn5PoYphCWYXGZ2KzpsoLiWHOyB0oiiJ7TFX6mpvQqlQ8MDhEzOGhMROju7WFv5kMcaXXRqtRz263jb3hJNscFjRKxdIw3pIl/85SG/raWAqgXqcemomyS5dFlbSha7Oj1L2+Go3bBqeYL5VwKCus0KZ5Kq2myWyl3WyjJMFau5k9bhtmpchcMMAh0UBgbpYr2pp4siixwWHmxYn7mCwuo1Q9w0r3ao7GZa4SH2Rny9XMTN+F2XErT1TqkOU8K6xzrBagYltLEC21c0kOFFOsdGbxNRg4UPLQKRsQtXYGfBYKpRiZ9FMoUtuYTMwjlydoVloIuny8OBRg1OZFoRznfX3XMl5M8WRiHMtMGXV9FyuyIbavW01uPIY6FKPqmmRc3cwqn41npjWsqdfxslLmbDDDNzb3odFoAMhXq+RFCZ1SQTSTJaPRUo5F+dRiin6rkUCxgFRM8Lah04Q1Cm544yX8dOECotLO2pSOoLeRkt3Bbo3EF6dCfLHHzdOLadr9DSRnp9mzcjl3zUc4FU4SyhZZw2E6Gq5EmpjhdI2ernNZqooSi41N+LUy611+3hVcxFxJ0ZgRqfc2sFlV5IcyTFVyeFQVULlwCVWqskifahhNRcNLokibo50WMUi/qYfHRQWb633E5jN0ayrETaOks02kUhMcsvewrXCCsnc7f9LRwDUnx7mtzsWA1UStTsNfnBrmynyMxmUrODU0Rlc1Ss7i50BqhqutA7zgNbDRbuZUNkeoJDBZqPCTlW1IsowCUCgurvI5lc6jVyq5ZyHAl3uWEmcuWfJvLbWhr42lOVCvUwW5yHx6L4ZeF2PTn3+ti/Mb+i16DEolJ3PwYMZJQTYxU1aiVCiQJJnxfIlPjszxzzOzfGf+KH12C75GG15NgJb488xmY5wuWrm0toRS3UltcY4PeM4jaurYN3KOC+5Pks99iy5BQatRz/bkAPP5Af5hpsiyGMRr3YT8Fh5QaPGaNnKDtYWi0URGV+TEiR9zfDhNNm0gHlig3lFLW88O5gwrWFjQ0qFM8CZ3lpCxncNzZwkPn2OVr4ctG7dws82Gx/oEj4fHULvtnF5lw29qJ5DO87V5ifnUFCNGI0E0fKWvAzX/GtgeS+aYK5WxadQoUgm8GjU/yFUJi/BkIkuhGGeNbGS23Y5x+00ozV1sa38jarGO9vWbWaa2I+Uq/DxwgT2tjdhNFt5oN7HOZma7oZ7H5uNcqT3DmpKCK2qsKCtVMvMBdMv7WS0bMLZFWLVlFe9Y2U6gkuZH5RCSJJFWmpgz6BkXc/xVuYK7KHBnYx32qptULk+j0UILSo6kXFzuiiMqWpmNJ0lLbhJTI8ynYwyG46QSs5yan2dBs5Y+bw2T7lZusse4vGML3SqZL04GWG01MhXI8I25MM8dP4FSAecUGi7EU/xMqecHShNHJBUhu4kVKxr4RIuPjQ4zzXodK61mvtrdgCTLKBWKXwVP94cSDNhMWDQqPHKAg4ns73SPThXK//VBS5YsWfJ7WgqgXoeCxTz3BOb4VHKAc6k49sY7kcVXfmPE/47L3TZUCgWXuixsd1kQJfhgo5czmSJTxTJWlRKTSkm/w89A026eiqfQiREeHS9gN9m4J1SkrZTBVqphoySjLye5O+zCLZ+gxhym1lnlOXknfappllUWOV0+wQGPng8ZrZRORLFbkmwrP8l7fAmUWiXn5u/BmFbgLU5y0nUZcyUVOc+leLqi2EQ9Z88MIzgW6K6DgV1X8FQcolhIpLK8xeRFykm0z6c5Ko5yUHkznTVdzOhhIaxhuKWLS/ROenQGRl1+wtks2lKeZ8sl0lMpfhKIA5CpSvSajQiSTFtbG8/GM6QlGadOSa82y8bps6ij01gSZdyB4zxx6HFWaXR4VA5UKhU9NVbe2VbLu+u6ubbGQaEwgdIho1AqmK0zcG5+nqdSzTwkpHh6bhHzmI7lfh+TiUHKNicPaAf48onzuOJ5IsEC6cUSrao0jTYrdVYnKiQ8ChUnyiW+ORbCrVKil9Mcq1YY0qqxKNIctV5Dp9/OdluWD64d4JK61awqprh9scD1Ni83uOtpy8SIzmdZY3JRKvmICwvEdAbusGioCBWkyAyXGbWMVUzc0lDH1sZ6jsUEPlhj5YqWZXQ1N/GG5g3kFQV+NBdi5OhhBFnGp4LnYinumoswmity8+kJ0hUBn0bNi4kMumSZq3Q9bLIZGRoa+rX7capQ5vGRcb5+/hTBUpkbjx3ioXDitagaS5Ys+V9iKYB6HfLqjayTvXzIncBnsKAuylQCude6WL9mpdVEriozXigTLlfY4rHxXDxDi0HLF9tqqU1GudGs4fsLYWQFXO1x4A3FMaokUtY2WipJ5vV+xhlloRriAclPQLQwlHWRmhMITZ5jlcPD95StpPUSjcsHuKHByWyhhGlDLU+cH6HNsgW9TseLI2dwt9/Gqk4PfZa1bC2+hKrGhH6mjFO4lBOzv2BKDjFUrPKyqOf5komy08wyqx7X7CwHyvBmjwlnn5+rSvPsjJh5cGqeilhiSlzgxXiW4Qzc0pDji3UFpKpINZdH1iixdzmJLMyTPB6k26xHr1TwZCxNQhAZzBZoM+oIlSViFQuuZhm39iyb7RZUGtBWYwiqGDv9J/Go8oiJHOl8hki+CIAh28Fw1s6TkSQ/PHWO+7NlXszmaJGTrG9rZtnWDXxpMswuhYA5PcbVuQtY3Daum5vlbL2f91jtWCJF3ldrYaqaxGOzMoEKrdlCrdNCOX6eD7XW8ka3FVc+w662dRSjh9kRHULpWcu3Azl+4NVR9rXwWK8XS62b+dJpfjwXo0tr5GSpit7uoNe2liOJLGcDQW6tsbO8p4PpdJoPrGznW4tx7spJfG5DO1IxiSJ4nLIgEC6XeWbyAb4fjCH2rODZWIa/GF+gXxIBOJ0t0KCSuXX/Ub46McVYKsuEXOSfSjmOZ4uEvHWcDx3jn1/ax+mXHmbvdITPxUr8Q1TJpUeHSMmWpXxRS5b8EYhEIrz3ve+lsbERnU6Hz+dj9+7dHDlyBIC7776bSy65BKvVikKhIJVK/cZ7JJNJbr31Vmw2GzabjVtvvfW3HvfftRRAvQ4lBBFZMURCFFGXp7BZBXSNr79x7S901LHKaqLfbCRYKnAilWNfLMMXzk2yp68LXVUkKlRRFIZ5OpbmcXMX5+UsT6UM2KTjNJRO8ELOR7vHyh7NPmR1gRa9zJCvF1d6mNL4eXYb49Qq9fzieIyvn5rDnkny54kYfe1r+GyhhuHZZWg5zAuxEOHoI5SsalasvJm39/jpbrEynD2NxWCgtn4dN/pz9OTLXCodZqNO4tbUCTauu4GfOkvcHx9iZPFZfkgb0UaJf2xqZkfVRENFQjsXQmcP8Z15G03FdgrxFBq1kS6jnkJVorOlGcfaWmYKZeRKlY5AiUfCSQpVkUC+zFWiyM2JIXyL3byk24Z57Q7qLU2o+nfw0aE0Ps+1ZMMTqBq1fCWSY7/GzHi+hMqhZ1+mQEWGZq2LGxpruC0f5hNrNzGdyvBAVGCXWOU+wcd9aQ9dOS01SgMzsoRerUAnSxT08H+HAvjkGB6VHldVJCdCcG4Bu9ZOUO1BmYxTdPuI68zI1UWGJQEhOYebNLIg8UHRyQ61gQdHT3NOaKdLJfPVQoZ8pYI5nUAzl+N6RZl1DTHSCokBnYrtdT4ej6bYGBK4rJJhsSwwYvbRZAviqJTRz19gSLmRBwe6qJMn6BPHeLKmgcfm87iBs5kCf9XfxvUGNdcKp+iILHI8W+Kvqka0CgWhioguO4k+OskPjV0MFouIVRkt8OXeFu5orOfNta7XuoosWfLHRarC9EE498DFf6XqK/6R119/PYODg9x7772MjY3xyCOPcMkll5BIXOxhLhQK7NmzhzvvvPM/fI+3vvWtnDlzhn379rFv3z7OnDnzB9lseGkS+etUuVwmHDvE07NJblm1HoOh4bUu0m8Yy5c4ny1wJJnhcCLFZS4jFp2FTTYzM6UyT8wvMF6BBoOGN9tmuFCsYyZ5FFG/jtWqCczpECaNzIvqbi4rpzgkq/E4LaxXWPh5ehJHWaTk3sK7BD22PhMTZ56i170ZjSlFLrOIOtePZmUN1dABrDUrSIaPsHe2hg9uXY8gZHhi5B5qs1W6aq7mvlKB3aYpDgU7qVHk0Dd2IU+lsFlTZIsHcCiu5p50nM95mlH32HjLkWPopApdWg23uOvxuKucqnqwaVX8cPACfQYdxRofulCBt61pIiaIvJjI4tWqOZ0p8FIqS61SyZFUnqukabalwkw37yIePomhezNt6R+Ssl/PJeVTzGsv5exIlB0r6/AqlIRNKo5n8vSYDERLeb4+G8FcrJKiilEp8hG9A7+uwF/nFVjMFt5BgPuqXlZkEgzLJs4KWa40pEnjIC/McVDRSY0iy50mF4riNPFKBG9HM0fkHj7UVMOL+/czUttAv9eLbmKIY8X7iSh2UTY4aNcm8ceNrG3tpKwxEIuVeMQg8qeigcOjw3harNT19vHwmQWurFcTD+Z4Phnhg5ds5ulkjuOpHHsMErmJPHkdzBnBaxfp0gmYpAjHWMMbrSoOjjyGs/06PIkyn8umaNBreW+Dl3CpzI8W44jIzJRFBiwGbrQZ+NiFRX7QMc03Zltx+Vz8LJTgKoMJZTnDFzaufK2rxpIlr6pXpQ0dfgT2fQoygX99zeqHPX8Lvde8Ih+ZSqVwOBzs37+f7du3/6fH7t+/nx07dpBMJrHb7b96/cKFC/T29nL06FHWr18PwNGjR9m4cSMjIyN0dXX93uVb2onzdag0lmRBe4Ri7lm2umwYDDe81kX6rYwqJb1mA/cH4whKNeNFBe5qGadaTTV3im5bK/pSldV2B0mlhzd7DTyXr+J2KXl6wUBRuwln7CRdTUVOqnU4iyWWB7/JPYobWW4zoolP01u7j9OlDt4gbaWr7MJUW2JhfJ65pMhqncjZbJGNxQF0ajuy/XJuW7j4VFIsgsN4FbWWI6itenZnpxg5p2FTi5ZS1Ein18Jj4yfIBDIspO0c9WeZ0er5qarMbRoNl6v9tPkDHCh6ePDMLB+/6RLMJ07wmYUEfpePRref3c1e5EaZgiTxaDhJPp9jQmugz6RnMJtnUajSSI5EqhbB28yaU1M0ufvR2ivItj3orC2YNR00yzLbWz2cXggRj6VZtrKLusUCX0hG6TZBh6bCgqSlPXWekWoz0+oyZY+P4cQk/ekQo019jC1M0Wg1ECyW0GmM6MJh4oo0uYISj6PAZaU8dydDKN0+3mDt5PMBkbVukcnUDD+0O5iJLLLC4cDRt5LgSAVTIsJVuhyH1QOEdXC8UqanWuQptRLbYpovI5H0xdjo6aFBFNltMPLNeJb3SWrW68Z4PrWSVeILbPat43vzYSZdLt4sjXOZcTkKT4mfz42gyqux6yqM6i0I/m1cCB3iZ7kyb/b3Uy1IHJ+Z5RvZKm/y2BkNhWkrFxGx88LsPMtdDqqmHZxVLfJQk49PtdW9xrVhyZI/YsOPwP23Af+uvyUTvPj6TT94RYIos9mM2Wxm7969bNiwAZ3uv78H5pEjR7DZbL8KngA2bNiAzWbj8OHD/6MAamkI73VI3+ngrGTE6b6C9vY/IxZ7nkDwwde6WL+hXq9FkGSuq3FymdNGoCLg0an5WTDGt+K1HMyIXOZxE6pUeCaWZm84QVtLE4P5JP+npp0FlZplbW4mEgWU5RJeXx1P6a8gp7DxfKmFPnOI6EKVUDGCWDiJdXkbBlMDp0ytWIvtONY3sGYsx1dTSZ4aDPB4chzF8ixnzpzBbDbTbhgm57yGxNhRmpp2k1nRzwGLhf1NHsRqljr3LN2lFtZo2gkIsDmeJ13KkT9zgRkk5oN1LDNmKTij3DM9wqguy7sb2lkn6VmluTi/5qFoCpNaxXq7CYNSxV921PFINMU2u4VopYpeZeM67SAXgjlWXrkBy6VOfjR1iicCBqZPnedYIsPwiUVkWeaBXIWelV2cSOe4PRzkg3UWQsE477LYuNFj5Zyxn1vqozxWyPPN+SgqhQmrIoOczuLWS4SjBUqaKT5qSLC1doIjVifh+nbWK2Ber2O30cKHmhLoLCY+HIzykTovDwyJ3NrYzN9ZbLy8GOTQ6bOsLcicVaeYGD+LQSzTXqMiplJxzGAjkEihT0XYpqny1oZWpmdSfPf0MD8ePccu0wWOo2X9lnfRbdLj813Ln40V6JjR8NFWP3n/eh7Ii3wnYmCHzk6OegSLmi4z+FKL7HR1YDesZLRspEOuMKvU8pZaJ2IiR0xWolJUmU0FGDKL3FSbp9lh4/PdDaiVSz9jS5a8YqTqxZ6nfx88wb++tu/PXpHhPLVazT333MO9996L3W5n8+bN3HnnnZw9e/Z3fo9QKITX6/2N171eL6FQ6H9UvqVfntepK1WrkLNJVCodZsUyfM43vtZF+q2WWY282e/ifY1e6nVa9kXTzBXL3Fbrpt9sICdJaJVKcpUkpcAsJqDZ2YekVbKiHCAfhzsalIxkfTwcyFJCIE2J92U/y880y5gTBVoMo9y/P8AjB/NEI8+wZ0ZmxSUW9p0cY7x8kDWpEuhVXDHv5Om8l2UrVqBUKvH730BKUuJc+yakskiNIkaPJPG+Bi/3LWS4J9FNplom2BvHrlHxjs56xJMneNim4wZLnphGQg5OsFOfZ322QlbfztdyOcYycZ7N5gGwSVWGU1meiWe4srGWcCBDoSqhj5VoN+lYkAo8q2jBXlZx71iAwckgYXq5oquNbE2BtsUy54Qw8ZEoO6UCTweiNChkvtTt44vTUZpUaX66mOOHCzF6qid5KK7HazZwjc7Apaho8vnIxmfolUuIDg+rBB8v6eu4r7ILrVDm3XKRD67p4NIVPQw293JM3sCFeIF762vYe3AUWV8llhc5L9p4Q3c7p7BxTIxyqbmBqTon4UIeV0aLrNIxWShzXZefdKOGg4tZxo8fQePQYbFbUet1rG28EmODhUK1ykwuRj6fYz6T4Jgyi3b8fv7hwgwpmxqzUomrcR13LPNSE9iLSWOkoPPxF4fOY4smWGfU8UQgxUvzGdYbDEwVohQrRYwMs8Hu4tOt3Wz2rwFgg/1ics1XWrlcJhwOAzAyMoIoiq/4Zy5Z8rowe/jXh+1+gwyZxYvHvQKuv/56AoEAjzzyCLt372b//v0MDAxwzz33/M7v8S8pUf4tWZZ/6+v/HUsB1OuUvsmGxdXL1P7vkkoeg+q/Rv+C9OtPApGy8GoX7zc0GXS8s97NgNVIg0HHuVyRk9kCU/kiD4bidFi95GqaOFMS2WQz8dVklkWtB5Vd4N5YF3pTlWVmPf2yisttTfzYdD3BmJsRTQuDGR/N7fMc1wUZO+OjHM7w4ksv0FSjJ6dbxaBDif7QKQRllSsSEgpBojyT5mQ6j0+rYeF0iPJEiq11q7GpDETKFdRxife3ZAg43aQFFZpsju8mniZSt5wFUcMXownmqxEKju2UbGsJoKRHp+Pjs0k2ru/G7Dbw/SOnsJaLvJzMcF2NkyeiKT46HyQvVNkbnmIiHaVWNjHgD7LO/AIJtcyE7GR5EazREmcjZqx9LjJePz+qFDmVVhMqlDAq4GRJQCOIFL0dnBfDWJVaah0tVDUetrsFTIHT3FBfoCSk8Lq1lFSniSEwWhHYn0zSXWvlJrOHk1YbP4+m+P5cnEtMWl6Mpyn6DFxpXmSrQomo1GCNLTBn1/CLcJJ39jnYUO9CJ7poQmBreJKfqSuUkdlpMrHCbMeyWMbS5qO68lpsqQTDkUWWqZQ8cWIOX2CG5w/czfnzB7jh+AhXl/P48iLfiveyDSXOhTDF0xM8GkmhFq24XZdwfmqWmcUQd6+7DLXHypfHFzCqn+cdE+P0FuCzDjf3bF7Ncv81fGT1Clp9v/k0+Ycky9Iv/5V5IHgxRcXhC4eIRCI8++yzTM/8kGRyhIWFCaKxFwHIZrMUi8VXtFxLlrwmcuE/7HG/B71ez65du/jsZz/L4cOHuf322/nc5z73O/2tz+f71cPPvxWNRqmpqfkflWtpDtTrmFQRmVBfimR2cDYYJSIIlKoyfRYjfp2Gy1xWdEolT8bSrLWaeCySpMWkp9OkY4XF9KqXt1av4862Or67ECUpiKjLAsfTRQwKJVmhytF8ibcoU4zmNZgzBd7W14ev7GOi1sj+qRRCbp5nBDP69AgNNjftxUPotFly4nV8I6/gWxtqkA6d4B5/kRatnhWTArXrGtAOz6G9rBtNRsszTiXrjozxj7KCTo2bW+vcRLpcPJYvcKNCQdqiocOoo74uxcuzEeLUkAhbqU0fp8vQw7INXoTSMEqrhTZfA+siJ1lctGPq9fFC/jwHm7xcVamyKnyI7wvtPJko0WM2oE7nOZLK0Wg3YBerJItF7Lk8nZ4i3YkuZGeaXR0ewioV6211PD4dow47abGKR6shmCzR3GznJ6EkrbYkBr2ZT3S08InJeSpaNdbEGVrzSXzTavJHY+i9rRTnF7FnQsw0rMEW9rPT8Dzfte7AJsFKQcO9wVGCbhc2wUSiUkKTPcWVzpXoYxF2trUzh4p+pwGz1oN5bIqr2xs5NPF9nk/08G77L/iS5mZu8w/RZkry4lyRc7kJvrpqB45wkjMKBd4aNxYDGAWZ5tY4o1UXx0z1aFR9KJJq3NU8G7uVZIeV3OhvYFY6i8aQ43s5BysTcU7OFggUY2QySs5ICmaVQ/TohvmKqgfHwCd4zjZF2lCiqjFTo1Vzc6fvD37PCkKKfGESu201wXKFC8PD9NTOkEn3kExnOBGbIDUSYUTjZUshwoRwiMHq5UzuP8Iyb5q1a2/nz594lk9sGCCZDNPY2M7s3AjFwllOK9eyub6WRqP+D17uJUteNebfMcj4XY/7A+jt7WXv3r2/07EbN24knU7z8ssvs27dOgCOHTtGOp1m06ZN/6NyLK3Ce505msqxwW4G4AcLUe4ZD7HFaWBbrZ3vLCaxadSoFQrW2EwUqxJaMcjlThN/F9BQrErcUe/m67NhPtNexwqL8TX5DmczBX4QiHGJw8LfTQVYYTWy223jp6EkG4w5jFKCAyU/SUHmq/4KzwlefMoqj87GUZXH8FmNvCQ1Yggt0O+qZaV0lJizE0lppuH8N1nf/D4GhxcxmRdodexmpDZLt9HBi5Updvu3sG/sMJv1KzjtENllzfPwBS1zpjzvlCIc86wkVVhkvbKCxaIGIcbLIyP8s9hHnSJDwdFNnUGLa/gYd3Ru5qlzx3nJ72fbXJFiNEXNphWcdKpZaTOyWKrwUjLPP/Y28d3FKDPFMkOJFLJShSk3h0utZashxRuMW8krIOgz8N1wnGu8dtKihFpxsWPRUoWWtIjUZOF4KseAapL3TSj5hq2BhzNB1tfX8tL5aaIuJ02BKCqjgqxbwiNWuFLTxs9zGaqVAPVinqGEzIaNW8nNT+Du6cOoUjJVLHMkEidRqfDDtf04NGoikQh3BRK83WRHUKpZyAf5hzy83aXj/82NsLqiYZ9ST78qyQYhz5RrBV3RWURHI6HCefTe9ZiLsLLBTHRmho6WGhJpkVVtLRx4+SCP6L3sTDxNz8gW7FUF2m16/tlgpGNmgWBZjWAootHoSBRL9LmsnIxVSHnt7Gnyc5PP+Yrcl9VqkcNHvo3RoKe//xbK5Rl0ug6iscPojcv508FJtuUO8IRhAyUN3KIcIlicxiA3Ucofp1j2MlS/jX9c1s6B4W/jklP4aj7NZ4bncepLCBoBUzlFA2eQtcvRK5WEKq18Yde2V+T7LFnyL17RNlSqwv/rvzhh/LfOg1JcXI33sXOg/MNuORaPx7nxxhu54447WL58ORaLhRMnTvDhD3+Yq666iu9973uEQiFCoRAnTpzg3e9+Ny+++CIWi4XGxkaczou/JVdccQWBQIBvf/vbALznPe+hqamJRx999H9UvqUA6nVgvlThrrkIf91Zz1yxzLlskRqtimPpAhYZTiaC9OqqJCULa2prkIC1ViMS8K25CI16HS6timdjGa72OpgsllhpMaJRKlllfW2CqGhF4KeBGI+E05TlKoGiQINRxyeafbwQzzCWyvAGp4E23Qz3ZprZ7bbzRCjMQqXKtboiUlbLc2KaVs0c60iTtXl5JNnCLXKeXH6Encu3Yg9VMORdDJuVHMgE8bc2saqSYtLupRQrsNGkwjwfIuytI+FQ4VKq6XFbiZ6f4Xhc4HG3hg3SWSbnanF11LCwuMiiyU5LUSKviZOqlHivq58nIydpF5sYLKSoVUm4BvroFEvcX5T4264Gnoql+WkgTk0hR1Wr5mC8QK1ai1oZRytludKwjLhDwRa3gyeSeW6vsXG+JDBTLLMjkMLd5uTeXBW1IPFyOkeTUuDFdJZOhxlnboa6opVNSjVfUpQoSUbeFauw3xNlh6sZIV0lRpbOGS3Vdg+nlFNIxj5OlvPcrBLxqOCBEnT4vPSb9Ww2qPneS2OoslEEiwaHt4FlVisvJsKMViQ+YPcwbBB4ODxDqZImXDKx2pHhi907+cnLB4lrihRVLWyqkRGyWhqFFLF6P7trW4mfnKdmfQsnQyeoq1oZPh9H8HoZL6foG3qI8vJrUZZKRFN5sNcQ9ti5TK8gHo3hbRTo9a5H+T+ck/DbnDz5LFXpHIPJYVY534HRfoFU9CVipjU8Oavgfe1eRiudNLuqaGJ38XBMz6bO2zj88ilmigbe0hYmHWtnyArX1uiZGp4gbO9jwDVE0PMmwo/uZdaToVM+Sq0lh8f/TkJCgnrVJvr7+1GpXl/7WC754/OKt6G/WoUHvx5E/bK+vkKr8MrlMp///Od5+umnmZycRBAEGhoauPHGG7nzzjsxGAx8/vOf5y//8i9/42+///3vc/vttwOQSCT4yEc+wiOPPALANddcwze/+c1fS3fw+1gKoF4nvjQV4CqPnf83E+Iz7XWkBJEfzJxje00Xodk0uHXUBV/k6s1v5i9OPInZsZLBbI5ukwGFGENSqFnjrONUpkCzQcuNPheThRIqhYIes+E1+15nz51Dqm/iKzNhUkKVj7b6mCiU8Ws1IJeZzkU5WTByXY0TqRzh0WiY5nKYVv92iJ3D6XDzg7E85wwyN7jMaCtRZoQS7lKJllSMN0Q7eWltJ5qZl1ndtgXrYh7TJW4UaRWhxEGUtiR1dW/hp+cnkCthOrR2TiTKbPc8ynfEm6gRYiyzephIi4xkZGaqk2w3JIhV10J5miFVI/+k0vDzEpQWLqBds4pdzTXEE0kyeiMtRj0nAilqbTq+sxDFIwlUBAmrOEcp5WJTfhjf1p00ClE63I1cELRkzs2xbftyzuaKBLMlkkqZclXicCxDWZLpK4LOp6AlPMxjlRYuqIoUhDLb7E6WVQqETRY0Wj3vaPFz/+k5EkWRKauSywsR1q3owK+1cWLyHibMu/FWZPwWM0crsKKS5nRRh09dZv+FMf5kdT/zVicdRj1q4PTQMQqpEN/StrMsP8+5apWd+oOMaHZxibWIVu4lfeolNKUqzeY0JX0dnW0DfLlcxOWwU3vsBW7YcClpu4FB1KQEEfULp/Bk5mjfoOYr5X5qZQf/Z4UPAXgxU+RYrsLfdNVTKgXR62v/x/dbShCJzkzj9/u5kM+j1ugYf+kvCVeamVDEuFw3wJn6DrbnvkJUcT3n02GOKjr5tH2GQZVEvTzCXKGfaaWWy3L3MqXrxdb6UdpD96PVOLDbN6FWx3kiaqScy7HFrOORbAVmTzDja+Rm0w/Yvemn5HKlX2VGXrLklfba5YGqgz1fesXyQL3eLQVQr5GKJPFENM1ut43Pji8QKgu8s97N30wFaTToeFe9h3IlhcfoQpHcR8W6C1dCwGvS8dNYALNVybxgxKVRExYERhPj3NqyEptGTVqostVp4dtzEdbbjRSrVZqNBmp1r83WFt9fiPJXk4tsspg4Xyiz3m5is8PC6UyBVoOOeC5LUpK5vaQn2WrkaHiMQ+kiKyjidPUwG88QViZoLwzxVKkXj0LNlSYHCqXI+WwYo9pFpBDnClOA+jNeIo1ZbrrprXzn1FF2FE8y5nZj0KyGSgyHxk9/Uy3PPP9xRP2VjIpadvhNREyNOCMTlN0WvjJSoFMf51TJwQazgNHbSebMIJvMauL6RqIOBX/a3kZMo+BUJs/KAnxmPsR1dgsfiQbRSSKXKKLMZa20W610aCZZq1Kz3L2dv4vP8pFVfTwcS/FyKs/XOix8bSbGoqijIslEygJXum2Ep0JUExmOkCPn9NCmTKAVjSy3algsRVDKNehzacYcWrYUfOzSXuBhTwMGRZl3NA0QTEzwSMjCB9t9qCxajh4/S1M+xCewcIfDzOa2Fh7LVdjmtHDk+EkGert5YGKWzdI9GPJv41vKRRYFPfXaDN78URoyTlYu28jE4gxziRr6zE0kjDKX9Zl59oUTNNQ5GLebyYyWuXRdL9LZkyRrx7HEmrm3YuR6fSvTHRq6zDo0agNPRRLcphFpa239g9xjieQRnI6NPBZOUhHzdKe/STK1SJ1/J/vHjxC1djOQi9HesYf9kxUek2ZQGdoZL0Oj0oRZo6K+NEervsjX8rXcYDxLn6DnsLmGOzSjvKRYQd30YxgNV2GxWJjM5FiUFpktFXHpwqxSa1ArazhYqGdVcyM+nZJLu7r/IN9tyZL/yqvWhkrVi6vtcuGLc56aNv3Bh+3+/2QpgHqNjOdLhCsCWxwW3nd+mka9lplimZUWI1aNmieiKZZZjPSY9AzOjvGypOCK2iY6pZP01l5GOn2G5sUWTKtruD+UICcItBgNrLeAWIlz44Uyb6l1cY0tg0IuY7f0/NrTcFK4uAzboXnl1xGczRbICFUGs3mm8mVeTGWp1+nw69W4NBoutRmIVSUkhYqSWKJQiuJIV3ipFGKteyXXGW18IhXlQDyIQ8yjVnuIVgU+J4/TYFikYG7mR4tGrkfD2nwNhRodP1EGWGM/y8qZrUyvb6V65CdY2yq8HN2JxixzWX8Pzw49Ta+zjQFlHQv2JH9/dJz/s3kTPzyylxOaDjQmgT2OJjILz7OnbROLiTJrWxpRadVUz6bQ1lsIOtR8cmyBToOO85kCQ9kEvlKODrWdK50eDhVzvCWS4VxzHfU2PWqzmhfmkjS4DZTmUqiNWc7r7XRbbMRDWYZjF6gx1xCxOdkxHsBpv8AG3xv59OwE7W4XunKOM7kMXxjo48RElu+lwjQ4DbwrM0uXYS3WbfXMj42SLhRZP7CKoYVH0TBAtVrlqaqWifl5tGoTaxxWBsnQjxZ3JE1Pc4HZYQGv241oEDA21vJ/D+/Hr7/AjHIXXeoIH1avYKE0Q9od5okLdbxrVz/HUwvs8HZz+/EhPleJMWtsoia0iMP1MifMl3BmpsptHfVE61wUIlNsqxHBugqDUolZ/fv98M7Pz2OxWLDb7czOjlGp7MNm6+ahoUmatFWaXGFstisQhQqHpsPUVB8gZF2HdmaCZ/Q9bLUIPCB1opLDtBeq1DfvxBDYR21zHU+kdPTIZba4QswkREShiQ1NVmzWbsplNWNjwxiNMTzeCnOzTTwcW6Rbb2Fjo4N0+iha7VosljwzSoF21QJ63+34XqMHlyX/e/xvbENfD5ZW4b1GOkx6poplHo8k0aqUlCWJg8ksN/mcjBUq+HUa1tmM7J09ymzVxBssIcgEeWKhFW9mBFPHSkyr9SzMpWjXqxlocLI3nGS8IKOXVaywGrnaa0cv5gDTxU0WS2WCokSP2UCxenGptkPzyn/X5b+czB4VRDbazSDLzBdTpIqgkK20WDwMaFT8yfHzbG2sQdL6uHHAwxsrFf7u5BQPnwlw3iexUlZgt4Iq/xJJlZ+SrUxhepaJ6Hou8cZxRA7xc8MKrmjYQt1pNaPxWh53BvmmbYD7em7Ao9LyRnOaqFXHYLbIlvkpFtJP8aD+Tby1+VLuXGcltW+SlFfNOsJYFA3MxmKonOsZLCp5WW1gIZnlhpwW4yovklrJkwsR3ul38VQ8w1S+SJtYoIN5bh0UGOlQcZsNFpc1EK9IlCoCbSodrXYjxUiegFNHJZRn1Ji8eC70CiLOGtZ767Fky/S32PlpdhWKkaMovK2czBe5Ra3C6KzyeCBNtpJgbbMfcybEU23r2GS0UpiO0dvbyz/PhZk4cAhl52ZOJdK836pmwGamSdnCS/k8Sm2VSyoRtuiauadegz7n4ZJtbQQi88zHjpOMgldZwSKsYUZZpEVj4X40bGzr5el0GwrlEN87M4sio6P1Erir1ce9EzkeLeRYp9ORT22iu7aWsnmGQmKaFd0NxPTdeP6HCxvK5Qih0EOEwxYeV9rQ5gvEVW4+qO+i5JI5OXcchybNxPgj2O0eTim6uEzRxn3xTlY0bmAmL7G2+giTrKZL6yeoKzCWy7Ojxk2fxUBa14oqN4LBdzstXglzJERVVDM7G6Orq4uGxjjzcyYUrKNjjY+6w9M0SQUMBgt2+5tJZx7Dbl/GausqHpg6xOMvH+L+9VvQapeCqCVL/tgs5YF6DRSrEh8ZnuGHi1E8GhWtei2hishlTisOrRqLWkFMqLLWZubmlk18reZlThc0KEsF3tznR8BLplAG4JuZFGkuBkPX1jjottoJy3audul5fv4I8eBhKkOQW5hmYvQkNrWKk/EFylUB/6u8W/11NQ5+HkqywWGhxezCoLMyXizzydFZ9kaSXNlcD/khjkYTrD86xA8m5pgpJnikTkUXSmxijNmQmWPKtWTLdu5NtPAj1y6KHhc7BYFW52UUK02cOBLBJZ5lzGxgRanEy/kCYi6G1VzgsHGOExoV8vwM+kYHvhoPV63dDEBs/xjf8E9TFnSUfT3ctqIPrTaMrFZTSCbxGPVcW+elpJCJHgnw8VOPcTAW5olYGlM1hEuosFGeR6c1UtjRx/FWO98z6TiQTNBoM6I2qRnNl3hXp5+ZVIITxTynjQaUoplCtsxquwWL1sZkJotTq+HMdJ4brAF+6vIyUpF4g3oRMVGkSdPKm0UjLQqR1pHTOLIF3u61Mr3wC76fnuILLw/iVquIl0WK8/OsnCmRtru5xGlFYdLwxYqRt3a2MJtxUhG06Euwqt7H46Ui35gO8ETAgjbuYNbUTdIcIq7SEE5l0YXnMU0WcJQltrusdM5Mc7VGRj4wzHNnR1mZP4JXDCAaVbSJaaoHXuAmIcrDBR2PRVMESxUGs4Xf+X5ZKJb59lwEgFMz8ywuLjI7G6doMfNdaRltqRfoUpWZzpl4KRHnMqUflaWXsYCasDzFfapuYkoH+/FiE/M4bU46nTb+SbGHbSqZtcYC/S4bf9fXgc3cQkHlpZMxbu57I7XVCfzlI0wYSgQKJTo7O5mcnKTW9wbM5loEocri8BBbrPX4/b0MDl7MF1UqmjlfsnIkEeW29i3cvcy/FDwtWfJHaqkH6lWSEASejmVo0mt5OpqmUa+lUJV5IZnjSreNj7XU8p35CFUZTmeKbHWYeMfgFNc4BLxShetbL8E/nSNr02M3LZKREoCNP+uqRwYejiTpzyV5dKFMqMbMB3wuVpd6earQzHQxwXtEC7XuOXzaNShzMeScRF6vZ75Uodtk4IV4hh2uV77r98/b/KgVCgRkGvU2HgglSQgC0bJAVqWkrOlFp8hSqhSZ19gR1RYyYog9NjvhnJkxZYZOtZZ36GVSCoFjKjVjxTgJ4/MUo7UIuk3svMTKYyfcXC9rCKt7ObOYwm0u4E7XUzW7eKMzy4NKK377TZwd+TrS0AT3Oj1EOtxksia22xVchZ250X/An7kGtc9GxWahKRTk4UCCZxUKtsRKrLX3MCQHiRfLWPRGBrQx1Ao3vcoKOlnJymqWlXU+5lNptCmBqlNLk0bNNUdH2OLyUBKy6IU8VqWeuErJbLbEztwkx2U7Qy4tU5oij6V8uItF3mHQEEq4sNQZ+UW6wIQuQyxVZdmK1ThVCj48EaRfvRZv5hRa13qOxVI0Czq2OOo5EBnm8XNqIi4r13TVMBQ6B4Mh7hjoJpWu0Pj8KRZFJZev6MdtUmPzt/BQ8jS3ul0cSNXTJS6SN+k4ZJHor6aw4aBmeTMRKcjq/g72zsfZqa3jH6Qm/s/sT1h36SfZ/+hh1FoLlYSDWzY2MtDg+W/dJ4IkU6PTstFu4mQ6zz9Nn2Be7WKnPMlgsYbbagIcLF6KUUxzmTyKpeLjmWqYrNXKuH4nsnCKuJQlKEDBtI2IOs/W4kts1Lm4tjbLaKEbubDIJR1raTTpmbX1gErm4WkV51UxbvHWk8mcptvcwJyhDp1OR329iUOLJxkVQ6xPHURrej+H4rPssjfQ3d1NJpNhzrmeR+NFvtQmsm/hZbbVbXiFatKSJUtea0tzoF4l7zo3zZ+3+fmn2TBdJh1Neh2bHUZ0ag33BeP0mAw0GbQcT+dZLAsESxVcoSJ6Twa7xctMRU1z6VnaHb04lRnuz3eREat0GHUkBIkBm5GNdgv5sohJp+ZUOk+/xcDDwSR7rFosFgun4ilezJZYq1fToYanyhCpCKy0GPnw+WnObFuO9lXaVyxQqnA4meX5RJbj6RzbnVZWWY3scFj405E5bnDZ+OepeUKygEcJn3So+JtIFJ9Ow7CoQluCa1XzTOnMbI5lCHdsRDt1lLxORKsw85bFHh5elcOgr+Pp8QDv6mjBYtHR4DJyLpdn2cxx9JEOTKtryBhVjMylqMgCRzMF3qs2MFkOotaK3KusYb3RwCOlPG+fn2dvfSMtGhXhfI7eOgPFTJViKM7q1f14XxyFy/pw6bR8+PQ4H5e1PKKATXYTcwYlQ9kiSmTaNBksJj99Rh17IwmmU3neWSpyl8aAuSzj0wxze6KDbyeCZNvsrEXJYUlByWTl+vxLTMpq/BkHd2zZzXfzGeqiaU4UJBrcZs4kR9m8WMbe1UahYmC5vYxKpeKJZA4nOiSLjutaG6Bc4rkn9jNhtfHO/l6ejxa4tMXF2UMnMerUnK9mmfU3YzGbOTn5FBNyDXadgfXedvZcGMe9cy0WrQ6f7l/HgDNiFUVGYOp0ALtXSWROQmdM07dlBSrN73ZfZTJn0ev9fHk4glUboym5jynzbZxdeAx9Ps0yt4+SLk6fukTU0IHecRl6Oc7BwCmmBDdFqUpI4QeFks0WmdF4mt0+BycLAp/Sj5D2XYc7/gBnbdeyLHUIh2M9Pp+fs2fPomvrxKNRU0XGo9WwsPAAyWQXZrOZsbExBgZW4HRaOZiqsMli5MKFC9Q22dgbrHJLow+l3sCj4STX+hxolUoEIYlG43ilqtCSJb/yv6ENfT1aGsJ7FUwXyqyyGrBpVJzPFlhtMzGSi/HV8XOkhCrRisixdI7jmQJRQcSj1VCWZNQ+E2/vXMW5goLLrRL+7C/4WsiE1bGVpFBlJj1Nc/UC/UaJH4xPcj5bIFK9uKHjgM2EVqlki/JiUjEAczzCO/wuctEwbrOdPR4bb6l1sdas590uw6sWPAH49Vqu8tr5REsN13gduDUq3Go1t5ydYixfIiLL7PJ5WaM1UlQb+b5gxmfz4xeP06cIkjZYKWkWmdc2UPDHCUlhCu7VnNf7OVOycqjvWXbGjhKSq/xJk4mX5mY4HhlDX6gyGD7LROsG4t0y3x4aZ380wjELbK638cmVdZTqtJRaGjmWF5GFLFajlrc21ZDrMfOxBj0DlQRDaiU/C0Q5lxvH19aEAgWHu2oYj+X50+OjvDWR4bxZxZ02O2PREIpUGVV4kWosRjw/z32LIf5mdBFHBU4XyhzUarhGmMcXPER3psxDvV7K3a2EJRO6qpFMUeAauUJXzRUoFF00G2oYWhzjMqcZrZihUs2xx5zm3WYjq1b2MjN4nsZCAO3ZPM3NzWxOCfhiefY4zZzKFDg5Oo6qpxVnXyeqmIAmscA9h07zYjZE/9oVvH33Lq6jBAoF07pu3qWaADGJTVWi95IWMgefQ5daQJYkFkeTZBMlrGoVRpuWlhVOVOoq9d0OCunq7xw8AUiyl+cjBSZC07SEf8Chaic/ik1zhXKcjcYgvapl6GU3ta4mLFk1j06e5PBsjGPyBhJyLe/0ZKjXSZg0Zlp1Am/v7KQ/kKK+uIDHcyU+vRaf70ZuqvXwaMqK0eVmcm4Ov9+PXa1CKQQoR18CIJPpZdmyZTQ1NbFz5050OiM/C2RJpU5w5swJzGYz2XiVN3lmMZlMnMsW2OG2/qoeLQVPS5b8cVvqgXoFnc/miZSr/NVUgLfWOjGrVHx9Jsh1NU5Kksx8qcwmu5mJYoW1ViNr7Saei2eJlwXG0iHWKk4iO69CoVATqVSo1WqYKhS4VHWU1Q2X83JWxbn4DDq1isbkYbp6buMbs2E+31GHU6PmSDKLSYLWiRyGPhep+QzfUJf4fEc9xeE4362Eub2/C21V5GdzIW5rb3zV8tbEKiIvp3NY1SpCZYFwqQIo8OrU7J+ap73GQzSfI6RQk6tKLBQrGJUieVlFsZQhKanxKVX0oCIshHEZEkiinTWWWtLVLEqthZsiJr4mJLFpDXzC7qTkfISRC7XEu5cRSmS5pasFi0aPyaBBoVDwwPFTXNXv5MW8gxcSWdq1FSw6G3PpLB/sbOR8pkBRlLj75bOM6nRY1RWuw4yu1U9PtUSXUccD6SoBUWCVwcA3A1G+1Oyn1mnkppNjDBgSXCE0c8qpZG7xAJPUcJmqgWhoFL/bD0obB7PzfKjGxTdj8Oc9dQRTER6dT/PGZe14JzL8wirTNnGKNl8bTe1ehmMyffEERxvsNBpzlE/8lLW7Pk1Zo8U2kuR8YQarw4pCpSdj0LGu3k8xW+aZF0/SuHUFlokkT4VnuGFNJ5PFCp0OK26bDYB/OnUeTSHDKeUkSdHGTEUgpqxDVsBP6gNYc0kSkzaal++grtNFVRRYGJlAZ9DjqPUSGC/g73SgM/zuMwUmJyf5yYX7iTt7yJUKrBOLjFpr+Ej/ZcwLIrVqBYejizybyKBVmcmW4ixIZqKVKm+y6jgnFrhUG8Cn7SUTCXB9fx8ez68PH4bDYfL5PMf1NpZbjeTCIUzlIiWliufTRa60aDkqKrmtvwu1UkGpFGR+4Yeciu6guamRLmOJeGKMttZdZLNZ9HoJjcZGMnUcva4Wg6H+D1lVliz5L/2xtqGvd0tzoF5BT8ezbLWbeEutE4tahU6p5JZaFx6dmslCmQ6TgdvqPCgVcCiR5YeLcWIVEYUCYoKAu2Yll5rtxI8FaLmijZ8shlBX42j1fjQKDcfGnuR9K69GVimQrCHMqiS31Lp4ejjIzSsaKAgS6tMRtMv9KNRKBheeosvu5v6QEZwK7rA0cSCRZflsloY6A/tiGfa4X53kf26tmis99l/9vyxJHErmuMxl5cZaF9eeHEMnS6x0GjibznODz4G/eo77U02oTA4qlTA6Qw2OzDPojW0kSyoW1AaU2bNMVr149EU8wiwrqmP0lK/g5fRZUtpVKBvTDOQNnPOZOCPIKI+c4tlmP+9u8LJ7YCVGtYrdBpnJfJ6N+giPB8skcvMMm9K8ENcymChiNer5oLsGjVGJLRhhsFwmoVTTaLEzOnmBJl8NPR4zt0gCj8/M0J8P8JmGXjY7mjmykOVcKo1JaONn21bzUCiGXhdmW6GdjwgZ3oqGF4QZ7N5uaoZSOLTTpPpXcvT4S3xwxy62zsQJbN6IXjHKz+YkNtV66Vq1ktmxCRRFPZt3/RnBYICWlhaigSQWlQZDWUZTqRJ0xSk5HJRDGXq7vXTYzaTVWXzJIDU1WykUyhjFf32eurJmnAn9ZZRjKvz6OhSj7+fTir9ApcgQz5yitfVGNLIPf8fF7RKkKuQSUNZLuBs0tKz43ec9nTp1gIQdzgbnmNbq0JdzbNI4OGmx4tG08YOFSdwGD58JxelWZTmSVWGW46i1VpSCxAqVSJNF5uM1NuKKDoIVJVbdGC6Xi2TyGA7HegCeP/Ac/vZ67EYbN9U4qVarCH4f5XKZWDKJV12mp6eHVklGrVQQi+/H5dxGW+snqfOXMBqNCEIFleridksWiwVRzFGtlnDY1/7ad5IkkdOpDPl8mm0NLb9nTVmyZMnr1VIP1Cvk/lCCkWyefrORiCAiAQ+Hk7zF50SjUrDDYaNGryFQqvBPc2EuMWVoM6o4Xfbi0KiZLVXYoNCgLYrcUy1SlmW+2KTgu5NDyEo1H+ndCUAuN8ozU4eo8V7CSquaU2UnE4unOatu5uqMzKF4iLomN8sdZprtDizZCnqvmf2JDNscF5NtUhV5k0nNA4k8DU4HK61GGg261/T8fWs2Qq4qEquInM7k2em2Y1EqWAjnuMGr4WBmCItzNc9OLHIOkVqNAoEidzgiHE01M1ZJcJnPwoNhBbVKLVdFFzjndPNepZsfOVRklEr+1Ggj7NRyeiTC2p4aSlWJYD7PWqOOqErDcquR/YksW+1a9Co9BxJZYqEMwUieeJ2JjQ4zyfwMu11mjpc92OenMda1Um/VY9KqqSRKjKYz9PqrTCXizL8cw7pyGXVeA9ZqkkxS4sGUwLWSgeOmMvF8Gc9cmfnCOJscRR6NOdGvrGe7rYaZUpm3tDaSTacIBp/E49nFC0WRq/1eTL/M5fX3D+7F19yMP6MhV5pj19pLePqhZ3D2+XBkNAj1Gmpra6mkCpTiJWr76tGoFeTLFaampli5ciWlsSSjxTnaRR8Z/0vU1r6Ju0eeocto4uXwDIhGHi9UWMY5HlK+gQ/IIfZ0alnm3cXiSJLm5e7f+5p/48IEy+M/RHS9lQfnj9NlaMfW3IgKNaX4BR5KGpgGdrqdPB2LIyt1SFKFAauFTXYNfUYFA04/ZjKczSlpMtsxClNkMucRqzlqvG/kxZOnMDR5Uc6+gCStIhgM0tvbS19fH4ODg2QyGZqbm2loaABAENJUKiW+eWaMtzQ0YXdkSFc1SLpmLGoV/3DiPO/v0jEl6LkgmFEis9YscWzoRzxbXU1CqeZdXOCGLe/5A9SKJUt+uz/GNvT/D5Z6oF4h620mjiVzaJVKhnIlPtlcQ5NeS0mSOZjI0mcykBBFanQamg16dtc3Ioo5cvkqmaoCr1bDbF5gd4uLDZMRXigVMRha+FBfPRJwfzDCOsUZvp2sY764hQ8XShwtznFpyxUs5Fv4Wn0DoVKFZMrCFpsJtUqJXpApjSR5QhbY6jCjVCh4f9PFHbSTxTyPzsTZoM5xPlekKEkssxhfsY1d/yvvb/ICECoLHEikUaOgqlDw1oFm/nF0hhubt5KviFQp4vHWcSqZ5Q2STEC/iSRzNCndnCgauVIbxB3M0dnn5odJGz8tDrFSOUDeauDFUpm3252M1BXJlGJ8ZzTNl/ub+XYozlaPk6diGRIVgTvPn2VjTS8Nei1+jxGTXeadIQ2mTjt3JR0otLW0qyTaVq3kmbEw3SY9JUnm4UqBt7X5kGSZHr+f074ZtjQ4MatV3H0hTGg6wJ0b1jI/F8NsMOJRzJKzZrnRtpJ/WBzhYztWkclkcOvVPBHPEAkFGR4eZtvW6xEvpLmixYRJo76YJPOpp6ixd3Jtv5ticQ6L5XIqlQoKo4xRZ8bQ4qWlxYqcKDM6NM6Fnjqu0aiJJvfhq3kDHdWL26joOx2swEGhKlGrehODg4OsbV6PKvYA89UW3mSLktGasafbqErwXcnHfeMF7pUncXitXJidw+1wUM6kmT9eZuN1bb/T9S4UChiTCWRPHw+EZ7nddQBH+05mK3om5uZprF9OpjCHXJF5MpZji9lIMjfHZ7tXUe90cypTYJfHzn2Ls2jLaZbLoFPPY7YNYDJ1IooZhoefZfPKKzAajUyVtVQqEhs3biQQmCIafYYVK3aRSCQol/eTTkOmPEeDdzOSVOL6GiOHVQbeqPbwjyMT7G4ts8NlJWmzcf98iePxELMmO5vtRk4Gs1hs13GZ4ixNRiPb6t7037r3JUmkUq2gVGpQUUWl0v/3Ks+SJX9EIpEIn/nMZ3jyyScJh8M4HA5WrFjB5z//eTZu3Mjdd9/NT37yE06dOkU2myWZTP7GHnd//dd/zeOPP86ZM2fQarWkUqk/SNmWAqhXSKNey5e7G1ApFJjUKmZKAqGKQJ1Oy2SxzEupPB/8ZfDy3kYvPw8l2KEeJF52kFY1ksjnObn4EmpRSdawg1VGMwcTWTRKBY16DcOJGTIaL/kq/IXjUb4Z2orD1ccDJw9xsmRkYTzOY0qZh5YLOAzrOJnO49Coad3WwJsASRL4zuhzvLvrMgAqmf08tnYPFRned26arCQjSxc7J1+rIArAp9OQr8r4dCoGrGb+cmKR8wWRD5uMiFoBz8o+3mgy4dFqqIoic5UqqWKEBmstQ9kCyWyceGMbexNV4qLARzdfzXcXotzZ6CWUzTE6OsoVmDCpYOvGBjQaK3/ltCJIMrHwXqy+a3gh6adDvsByywp+emyOlZ4kBxsH2ANsU4xx33yBXf6LQzS7Oi9e09lCiR1OK+n0KR5Pm7m5oYM1y30YCiLPHj2C1mvnA6tsqBw6EtNhWnNG1Op5VE1bWEim2NnTQG1tLWq1mqfSJTorRaxWP5s3byYXi1J1CCxMLdLc3Mzw8Vm2bd2O2WJClmWqVT0TExOIuZfZeeNb0WhVjI+PM/zkCfq3bKfpijXEMwUMWg2GmjeQTkeJ2rK0c7HsGbHKYCZPH+dobFQzNXGMVavvYG3qO/w41YZWmOQSeYGtSgOjylpqiPHOCxVUGpFrdXn8yRZu7u7Htv13v86LshKF3UVq5CwDfj1PCruJnX8WvaaWW3057oroESoxzGoX/WYdPp0Je1WkVR/Hrq1FAh6NpFDkpljbuIl6g45CYQYAhUJBpRInnQ6RLZUwGAw4nV7K5TLz8/M0N3cAHdwfSrDMbMCtvJTvHB9kvraJP7OWmSgYeFj08uTkPCdSVh7PFRCDUX4UiOOV53lP93rekEyxv6oCSebNjV60WiWJxDRmcw9qteV3OgdfO3aGD69dTnDhB9wdamOP18xTwTk+tayP06cfoiq3ccm2G373k7pkyR9YVapyKnKKaCGKx+hhwDuA6hXeyuX6669HEATuvfdeWltbCYfDPPfccyQSCeDiw9eePXvYs2cPn/70p3/re1QqFW688UY2btzI9773vT9Y2ZaG8F4Bsizz7fkoZzIF/l9PI3qVkkhZQJBlLGoVBqWSpCiSEyUOJDI0GXRc4jDy3dFneEf7ZjQaKz86O4wuG+fnxloudRpwCGOck9oxqpTMFCq8z/QS4YkG6tesYm8iy51tfr42FeSRmQhXWae53giiRUGLdx0zVQePR9K8pdbJ2ZkEaauGN/tdzMzM0NzcDEC0IiDKMimhymSuyOmpSSarFT7VqeNEspZbu+te25PKxfP6dCyNWqngMpeNhVKFl9M51trMNPwyKehgtsAKi5GKJPGFiQDTmRwWpYp2k4Hbmmtwa9UoFQqejWe4zGlBoVAwNzuLwRTA7bqYs+fBcJIbfhk07g1F0Ms5ygoLO91OnoylucHnJCtWsfxyK5J9C3FWqrX4fP9xQxmefwqnbwOSLJDLjuJybSZ24TDO1vVIKpl8Po/BYECr1TI3P49oMCGnkjQ1N5GvVlGr1VTzeZRKJYlIHKPRQGD4DB2d66mKVUxNjl+buyZJEmJZQvtvJnDLQpVQ9FFq/dciSDIapYKhoSFcrhlqaq4kl8v9asVmJnOWqlTGYV/LoWSWLQ4LL8QzzAX2QqGRZS3LeGh2kgmpxLv8Dp6aucD9YjOKchmzQc+7dVOst4VZ3/OR//SaBkN7kaV1HBgdJ9vWTWLmaXSNO1knTLKglHk+7+FYRsCslPFrJCw6Hav1aW5sGkAnzBPHTayqZq3NRKEww/T0YXK1V+NSK2mzmIjH47jdF4cVBUHg5UyRTosBj/Zi+oV4qYhDqyMpSsQjYc4FQiyotdyfzbPaaEZrMBJNh5hR6PhooxmTvobo2C8ImbcQK4yir8SIq5vx13TxyZZaFIBaefE6TBRKSAtz1NbWEhEjPLog8LFl3b+8l6soFBfvn1IpyOl0ioK6juDYXt628TZmZy+gUMQI6PvoN2o5f/4uHk/reU/vchoatv3XlWXJ/yqvRhv67OyzfOnlLxEuhH/1Wo2xhj9b92fsbNr5inxmKpXC4XCwf/9+tm//z5/I9u/fz44dO35rD9S/uOeee/jYxz621AP1eqZQKHhfo5cfLEQ5kcnTbtTz82ACtRLe33jxKf9CrohdreKtfhcHElmUSjXv6bmCc9k8rYoqm9rbeDns5lKVjL2QZQoTaalKSqjyWZMBu2stTbYYap2OQvIk5zMm9gUiXG4LUpIsHDX2YNIaOZOQWBlM8sFeJX914RTvLTcw7jYQLVWYWaxQcBexhov8XFUmk85whdtKTqllR12Szkw9DwaDjM2XuMKoJmPVc7pU5UqTHsP/cEuO3/e8Xu62If/y/KkUCjbazdTqtNw1F8GsUqJXKsmLVUqSRK1Ow8eXt6NTKlBNpDHoNDwQSnCDz8lqq5HFsoBfp6GxqYn75kSunotgGqjhUt0opVIzen0tlzqNKCspzGYPh5JZXBo1aUHE9m/2EEzLMh7Tb84ZG8oVUQC9ZgO24jo0mour23Suiw26u2cTcDGXyFPFKjfZtAwODrJixQqqmQrRcJi8M43ZZkelUoHViixIyIspDMusuC+9HIBSXkChUPzqbwGUSiVaw6+nD1BoVNT4rgZA88tGvqurC7W6D7jYVf4vAZTJ1I4gpABo/eV8uFVWI89Gt6GzJDkzf5zPdXgpGTZydnSM9ze40S08zzhmJlRbeKxo5kdCGw+XKxxM5v7DXsxa37WcTmUxOAVCi89z0LgOVXCKEWs9qvwQx/ISK9QzfMiaoqfrveiUWjJVCW25iFqtRZtI0u+8WKcEIUG+dhcz09N4nVYCuZdJxD04nU5EUWRmZobNnZ38IpzkTTUOSqUSPz96Nw26Br4ntdGrkGh1u2ibPEa7voa6soKhXJ4aawqVqOBgNENRmCEuefGfPYTWHuSwsAqHnGONJcPdjx0k09JIMq9gtSJFvBDGHBlm5KSFxx1buKbGzfPxDJe6rKTTp9Hr/UiSnfn5OGvbmjl/foJL1t0IQFNTD5Is06hQMD8/T6Wyjh2GUa6btfL3piybnb9br9aSJX8Iz84+yyf2fwKZX+9viRQifGL/J/jaJV97RYIos9mM2Wxm7969bNiwAZ3utZ2b++8t9UC9gu4PxllhMaJUKEgJIlVgvlThRp+TaEX41VPw/aEEKy0GfFoNfzsdorZaocnlZHx2hpLdRf9ihhM+NbtcZiJVPfoLh9D5HESzcdrsm/l4MMTV9W7uMJ/iznAH3cJp3mbw8qNKK2v9dp5LZnmDR0N2PkS3rYmYS8dkIs91DW4USgVirIjKoSMminh0WvZF06QWM/hr9HwrmGJ9VeK8Tks2l6ZGrLK1LHPjrjWv6bmt/vK2PZLKscVhYbZY5h9nw3y5u/F3+3tJ4qVUniaDFpuk4PvRBG/16lDmT/CStIYrPTYCc3O/6qEDfu2a/XtHUzk22M2/c/kDpQpTxTJbHP9xQ5hPJUnlctjsDszm3/7eYqVKaDpDfdfvlnNoamqKY0oDG70Omo0X59acyRToN2tRK9XkxSrPx6JcmquSUYQoKhw4XUm0GjfT0zm8be04NAry5SjRQBSFcgiDwcDJE0msfifHTC2cT0VwKUs8nHdxi9lEv8XCocwZapzr+URzLcZ/t4lwKPQwZzIy8YyH3V3L+dhLpzD7bAQzU6irAhtdXbQKEkq/h+7KCEXHZvSBE9TXe1FQj1arJZfL4XQ6+ecTZ1ilmaenaxf7Fp5nnbGdmpoWyuUFtNoGHj1/nIX0BQaW30hp8qd8q9BMQLLQqxLxR2LE5Qwhmwebs453Sxk+kdGxVq2gTjpMg7WF2bKJqUqQ+YKKTzrP8nRhD/PxGAM+JdvMAscp4ZN86K0ZwmIXLWIJdWUYZbmTto52fG4358+fZ9myZQCUSiUqlQoWi+U3Vr/+IpzkOq/9V6/fF4zzlxdG+RvlOKXOq3iz//efsL/kj8sr2YZWpSq7H9z9az1P/5YCBTXGGvZdv+8VGc578MEHefe7302xWGRgYIDt27dz8803s3z58l87bqkH6o9Mm1FPpCJwMlOgWa/DrlFxo8/JfKnCQqnCYKZAFQiWKjwfS3OJy8ou3Qidmk4cLiuOqpZnT81Qv6aXn82OYKimGY3EMOqbMAsqCmo9YjWHRlNiwGJkih4+0ezh789d4FmjkalQlg0WA5lihdPTUfyJMIMpK20ePyvj+5jz3sSLyRwbbCbqhuOcq9Gyw62h3aTD3eTmu6kULp2Gy0oarm5zcf+8gmfnI3xkdSePPfYYu1ZsQ23To7K++nt9qX7ZqPxLANJk0HFrnZtPjcyz1aZHJ8nEFUoCJRGvTs3b6txIssxYvkSgXOFCukCdSY82myKZUPO2XjdPx1Jc67uUa1UXfwT+pRI+HUuTFqvc+Ft6UfJildF8Cb9OQywWo1Ao0Nh4MYg7e/YsPf3LyCQT6PV6vj0T5LYaO8+LSm7yOf/LvQhNdgcm+38cGD0dS7POZvq14OnMmTOsXLmSdPo0JlMnarWJUqkEQDT+GCHbpWRj5ylJazmTzuOUFrHrm0injgM+HPY6orlJTO2bMfHrw7ZifR67VssLZwaxNDpZ3dSERrOS0XyJsz1xdnlsbAn9AKvOjaxvpCOV59FclkdzWbarnMwkZkjUeX8tgBocHGS/2MpWzxQOQ4mx2PNs6t7AgZlD/In1AOb6D/JsxoR1ZoRLViznhckKXjHNvbEMN3iX4dCp0QtVlOUyPw8laHK7OCFp8SWfJGfYygOVCoMnhthgi1JOn+dZ2YmeJrYJZdK1b8Q/dZLr9WdoqF/DvNfBy0ETDdUUyewCdt9x2qUb8JnU5EMyKaWSEanEammRFSUj9fY305aeJO3zYvc1UUDkQx2t/3q+xCz5/AQ229uRZZnAYoDyZJqurmYAClWJn82F6E9F0Ol0v+o9/Bdvqrl4XSVJ4ty506yznuUDpQnKhg1spfKf3jt/CB8emsanTPPprn6UyqWm4n+rU5FT/2HwBCAjEyqEOBU5xVrf2v/wuN/X9ddfz1VXXcXBgwc5cuQI+/bt48tf/jLf/e53uf322//gn/ffsVQrXkEujYqiJPHhpho+O77IepuRqizjUKv49PQCb7HNU9S0YFRZaTfquNpjZ6G0kUcmLnCtXqCMlukaFT+eT3I2byIVrWB2OrGXqjxRynKjS8nxyDne09SLPPYUT9qbKUoRutXtKMwufI4L+DXDROQB8oLE++zdyC0aKpnTTDa8AWOxzHShxK1+F9keDYWJKD9OFbDb9OxwWVEkocOkp6enhh8uxkCtZWeNF8vLca7YcTnlqQxa/38+lCBECmi8r85w3zKLEZkovwin2GLUsNzrxqWt0mfSU5UkLuRLPBtP40hEuVHlYdqpwSupybXbMKlVtBdkjIqL89W8Os2vAqj1NtOvhuyKxSKBQACPt4hSoeVkQYdfXmShuoyjE2d5V9/F1YOPjx/iRFXDp148xcdURSjkiUkqfiDUsj+XIZy1sraaY037ahQKBSqVisHBQYpNbfg0KppNhv/0u45NTNCl0WB3XxwWnI5F8NutPJOboSXfyoWRbzHk/jjqs1/CY2yjZFVxtqRj1HgGeznDuBhkLhditihyhXYIj7sVWzhET5PAWrOSBwMBfDoNqsVn2LD8rQCUy0GycoZdAwNEKwL7U3l8+gKToQP8eccVAETKV0PiU5REG1Xz21GU8tQp5jgvKqhVtlNv+PWgccWKFYwE4zx1ZpIt3VbOT6XJNotMKJx8LreHv0pOIgkdPKoy4ktlubS9mXx+iDVeP9OlKn83N0+LXssee4Wnz02w2+dmTGPmRcM27hs8isdWJVtIMKm0kihosXIWq7GBTDrLA3kRp6hib6GfKclIZ3KRgEpH1tyFWpL584iFWDlAjWjlOnsXwYRAUVThrl3L8yYlnRYl1yxX0HgmhNfez2rPrwe7arUFm20VcHH4ua6+jr2zMTalj+H17MaoUtLodGCTy3R0dPyH11qpVLJixWp+MO3lyu42Hg7F8fv9v0uV+J3JsswnLszy3sYaYoKIS6Pi6WiaeinD+tifsnPr1/+gn7fk/z+ihegf9Ljfh16vZ9euXezatYvPfvazvOtd7+Jzn/vcUgD1x2xvJEWdTotKoWCt1cS5XIFYMc5TCRFQcVeyEYcixTWOFEZ9M2a1im6ziSG7mv87nyRQEqkWFHR6NFyzEGDelmZeuYrrvVPEKh18yuCm0iyyP3aetr417LI28Ozp45TFEHlBx2pPP8eURX6yspGxxP/H3nmH2XVVd/u9vfc2c2fu9D6qoy6rWK5ykQvGYAwGU0yHQAIkhJBQQpIPSAIEYjo22DQb9yrJ6r2MRpre6+29t3Pv+f4QmGpwwE7y8el9nnke3at92t73nL3O2r+11gLfHV1iVbGdQ3EXa7VheoMzfKBrG1+c9rNYKvHpqo67czGEdJq4ILDCqGV3JMlP/FGOJtIopFLe2mDnEVWSbWKFji4Tg+fO09ncjsqm+519IBYr/239PZjOsdKop96h5Egixd65AO/1OPjXs/OMqkTWmHScTmSwKLWM54L8hcbOXHI/Gwy7KFSq9Jn1IIHRbAHnr9R4+1W90+zsLOOlKk+nlLxRMs6/xEXWiklq5FL25AW2+06yZ36Oc5UsMY0FS6HM0Yqcty/rYnLmG8SFzWzJJlEvHeeg5WZ+dvAADlmEFkU9HtUA4cMLDAWHsDsy7LrxM4yMjCCVHWZ4yM4111zD+WiceoXA0wU4PDnHx8IRVvb28MDgD9DU3syK6ji+SI6JZD2Plf1cZVzPWEUgWnJTJMJwtkSfxIomuBsqKqCFrLWVjRkfX8sVEBYESqUUrZkkr6l1ohda8Hq9lMvzXIgGmDNq2C4P8XRcwtFEhg82OFlbfwV7Ikmutps4mBJROd6JpzLD9ZHD7MbD9fIcBwoFppI6JqILdNgaGBsbo6urC0FI07J0Am19Cp3gpa/ZQV48wXvWb2IoEcIfGOBDy7YidDUz5/NzbzhOIFlilVHOJ8YX6JBLmUpleHBxkfOimhsUk2xSrGS7LoKzJcJRyQbki4cYzqXJyWtwCmYCeYFPexOExQr1pTwY3NxtKeAyxPDPu6l3GZGnU9SpKzzlV7NaLqOrWYcp8Ax/I3kLra2NWMIJrqqtQSpdgdVafNnajJ31VtSya3lmao61Ri1XOZ3wcyP4pXj66aeprt2MUYQhX5W0/yiCsAu5/JV7fH98YglXPsNSSsdKu5lAocz7LBbqy7txKrqJxWJYrf9z0biX+J/DoX15CXFfbrtXgp6eHh577LH/tuO9FJcMqFeR19dYKYgiPw3EeF2NlVuw8J7BcZrUChq1OoLlCh9sbEVXDaFW2/nW2G4WyxrKSg9F8rzBMMm3y82E/ZOkLUa01SKuXIFJSyehsJ+opxZRqSMi7yQz/g1250yE1BsRtLPE0/V8ZKWTH44f5J5jBTLyAFatkpHYJE2aetY7ahhQmSlOH0ZpaqFOpUNba+KGuSKNVQldViPj2QKvq7HSqdMwnCnwrgYHMokEv1nLcDLD3lCI93T1IBPh6WEf19bbkJt+fSJRel49setQOscyg5ahdI5evYbHggneXGdjIlvAI40zK9PwwfFFGjRKllIpHAoJfSYdO+0mhsNLjGcLaM1XkCgLPOCL8vpaKw6JhO0vIdA9GEszo9Czf3KUhFLN36nVKMUUKUmGaP487bkox6LbuLHej1JsRZU5xXJ7DaVAmoGBB1BoTXRXRmjv3MyBMRv9GQft8nE6HGoOBafY5VzPCoeNROICQXkde8+f4uGynk+4GjBb1TzuDXGwKLJNG6G1JON4MsGg/gDzS1laWu4kLkpY3bWDn03PIeoup1duwuUdp9uiYI+mkw5pnLWCBmnxOCFtM+81y9AbenjYN8AT4RI2oYxHNkehZiPJYIz/LEpZoVATmVjgjb0NTAdn6QlP8/YlBetsUm50LCNeqVAKxehwXkzFYbeY+fHQEhsVy/HJxtmpaOHa1loq4ePk4j4W8+vogBe1ZYnEGXS6Rs4Fzaxe28rN5308YH+ECe9qiuZGxFKEvxkeIS+1ESnm0aUX8ErM1JQOs5xl3NOxGoWkyni+lrXJCBmNnR3yCsfiWg7MWdksfp0jqnXYJU7mykU+0NbOgXINB4MRxGKQT5jdyDubsaUep1p00dt2jEhAxZo1G/AHTvL3V27jZCLD9OwUCl7L6lUdBINPU8r2UiqXUatUL8t4yp4NolvjQi27KOzvqavF+QeS1ZZKEZLJETZfeRUpEUr5R/hWIUjUcBWDuRKrja/M4ztcKjObL/IptZNu98VJ0KFU0FVjZ1/0LtQzaahXIUTzyG2/3zN6iT8/+px9uLQuQrnQb4nI4ZcaqD5n3yt+7Gg0yu23387b3vY2VqxYgcFg4MyZM3z+85/n5ptvBiAQCBAIBJiamgJgcHAQg8FAQ0PDi0b/wsICsViMhYUFKpUKAwMDALS1tb2kvvTlcElE/iryA1+EZrUKt1pJtFTmnC9ASaMnk5timTLMjHwjJ1M5Xldj5WaXhSPxNM+GovTHQ9ygHKU9HETMreMBrZKS04kuW+ZcucDlBil99hoUSgXrzToW5n3MZuYxuJezlC8w6AvQW83yng0djAaP87SwnjtrbOwLL9GmSFDn8/KoeSValZY3F2WYO+yEi2U+P+vnLbUG/mEmzF21dn42HmBrs52iN43TrCEoVvDJ4F86PVRFkXDpYiLQp0IJ0uUyKqnIGtk4jc6t/y39O5rJ063XMJ4t0KFVESkJLORLfHLKi5YcUzkJ0YqIBOjTpHmPx0Re7sFXLLHTqqI+JUcilaCo+d3es18lm53lS2f2MiRpYbqqYU12mgGtiY+qFzida8BoiLKuZjVqWRlduJ9MusCIUKJFsBAOq+hZt5zJ6Yfx11/N7fYmfuJN8ZpaG3v9c4wo1XRoFWREDdrCEOlilMskAZ7X3UE+n0FWENFJgxyV1PHuhjpWaItk/A9wVn4HcqWajboEk6koQ9UGri0kmFrykq1TsdNhoVg0c6AURyWz0Z54ihXL38HI+AMM6y9DGfsZsso1bG1u5Lm5A1zfeiVPxv1UQiH0NhO1JTV7/YPcYk/S0noHX+gfIV/dj0aznF2aRR6XbGGzSsNiuUKbw87hRIZelZy1ujIfGY3QYTZiZxadup2O8N8wEbNhsvVx+/q7GfEfpNO+AqXSis//GLPiJn42+VNut9fy5XQ9oXyeO+1BpgUDS/k6KhIpaYWalaoIAwUTr9UvcJ3VgteX58m8gN/YSio+gU0pwZxYYtXyG/iJd54+i5sKEi7Tq7m8xs4Xhs9hNdZxs0ZKoZTl0VCWK+qhP1lGNTRAed2N3GDXUM2e574pJZeZ+ynYXs+Phoe5OXOBaM8O3tTY8ar/tsOlMlqZlOnhIVRmK75Umq8vLOK2QSxW5jPrN9No+9M8QvlKFUm5xKPxLAOpLHdbLHQ7L748PBSIMTM9zXZrPcPnDmJYu4mV2Sydq3teicu7xCvMqz2H/iIKD/g1I0rCRS3qqxWFVywW+dSnPsXu3buZnp6mXC7j8Xi4/fbb+du//Vs0Gg2f+tSn+PSnP/1b237ve997cYnv7rvv5v777/+tNvv37+fyyy//o8/vkgH1KpITKvzd8CnaTXUURQWVQp4WixllIkpRo2OH3UQ0maLNXcsDYzM0WYwsVqBZo+Kvxhf5uHOJmZKO2IUZplvXc1Mpzzm1nnRqgtXaFK+v3cZJlMyLAhZZmVXVAiWvhFqDmWe0EUKFBKVEmhFRxl81FLCZ1/DV2WnW2xrIVNSst+pp/XkkllAV+cTZIbao5niw0o6pIMFs1nKL3cQz82HWOwz0LyWY1krQKRX8S0c9Hxtb4B87POjkMp4NJxBEkfF0ipIo572NTtzqVzbkdCFfxKKQv5h/CX4Z/bY7kqRdq+I/F8IY5FJqFDK+vhjGrZAykCvz9zYLGwx69lbT9Ork7Kz5wwVfw6UykZLAA74ImfgSacHPW2TnCBTqidX1YVKZmfTN0pR/hEZXLxLVdhQIqLMlUrEC3nKZNlOSGpcWf0VFIjLF0+W1fGljN1+bPI9H6qIxc5KxQh6VzoXNsIzLPG7uPf19rjTHsNffzPDsKerdvTw2I0Fls3GDZoCccjPfnvfzMY8Pt+Nywrk4S+PPYeu5g/5kloDPR50QJm2Q8KbuyxkLnsKsdhKaT5Jw1bPFoefCsW+jb/Bw1ucCg4pnQhPcyaOonNcxKN3C1ZkwcouNKVWeZEJA5z9L7frXE5j5EU+nnTQsRBlta+LjNSXOyntYY7ZTntuN1bmZb00t8r61K8lkMgSX9jJfkvG44ORGh4z16Syu7i38ZO4wfbWb+engBUxmNYNFBfnUEKicvL5ymH8VtnG9dIjT1S5qTHquFSOsc8TRa7bwF+MziPpG6tVKjs8sYDIY2GbRMOQ/j97uoT41htawFldskZlaEzc6u5EoFEwsnOD0wgxvXXMrD4USfHxZKwuzs6Cq8IOlDBvr6xiK++iVRpjI57GWozyTdXFreoIrtq4krlrPv104yHuNHnp7ey+mlniVmM4VMMnl2JVy9u7di7G+gbcuznO108YdnjY2Wv/05+TzoRjCqfuYbrqVTR47k9kSd7ptwEXh+vXHhviox41eVeWxwTE+0teLzWb7k497iVee/6k8UDXaGv56/V+/anmg/rdzaQnvVUQrl+HSN1JBSrhc5q2NtbRpNSxUD+K0bkAUBfrnF5lRahkORxlEhloqxSiX8SHLPI8ka1GIUnbVmFCZDTyakGDIFHHZerGVpFRCMk4Pn6CjqQN3lwJLukzUKiFqlnI6rOT5kMD1NgdbLW6OixJ2BB/koy1vpSjRUELk4UCcOy0BjhYb2WUzoch4+VlRjZ8Ct9QZaR4dYyLSwglhiUrCygVtCqushk95bOw+cZR6jY7JhJV1EiW3/TxC7T6hglwqJV2pvhgR9pvkK1ViZYG6PxCF9qvtv7EYejEq6RdEo0cYWypSzfQQkioIFEooJRKSuQAVuQanUo5MJqVZJeGFcoGFkoT1epHLzRcnvkOxNNteYrnuTDJLobBE/0KMhcAoA7p2vuZcxKhtY6XtFr4QiLFKuoDSoeFk9q3sDkS4qsHMglAgVy2zUS1nXDvEutabGEikeSwQ559aelBWJAwly0xE5fTWyOjsvAlVqUTI+wjemJ1KnYq3rnktC2UlcqUCh8vM14JhPuSaRKkQ2CNuZCSa5frYJP1GHY8E99BuXUNv5+2c9h5lSdbO+1e2cny0n6j+Wk7E0xxJ1+FOTrDD3c7Y/HM8Hy/g6dnFp8+cZYc9xGIqxRq7ge9H78CeijBWjLC2McuBqBdbbonnhNVsqW9jrTDG4WQYi9TBcJ0NsaLjfCJAVvoCysC1PGPqollUsLKtFZtCwvH5n7Ck3EK7aRBNxkQ8XqHY3IlBrUbuU5CSjPOurmY+dGYPN2vc9PvCzNngCe0qXueyIMquZG00z3V1Rjo0PXzWm+DO4m6aM3Zu6jDxpQkf17U1MRMIcTyyxI+33cxsucoTS7WgUNBiMzOfCyMkxumq7eSMxE3C7eabIR91hRH29s8wrm7izNQMrto2vnBhnM1aKU8Wc7yuqYFPRRppUpZRSI+STHoZFsP827qr0P435KL5xYvNuYEBjjZ2IU/G0cpt3NnYzmrjH7/k8KvsiWUIutZTFSokwkk+3nIx6vJ0MsvBSJLbPQ5mpwaxt3dx/eqVFIvZV+S4l/h/k6sar2KHZ8d/eyby/81I/3CTS/wpmOQyjoUmyRSj1FQXyAoVxpRXcDqRod+/h2F9jjPB8zjqavjr1jq0uaN06FQ8nfXQXcnwdpmN84oyvmyYamqQsnQeVekcnYUTjNVL8XU1M2JTMR2fpCIt8IJ3CoMwzXJhN9tNCjQ5WHXBx85Ymr3cwdeHz/LUYoDR4CH6RsPsiyqwSvPsiacwNiznDUYzt5fVPBkJM2o2sFAMUlEYqDp0yIpG2mUyThw7irxk53aNnOemw0TPBTg/EQEg5/fRrFVRo1Rg7uwGYG8kyYdHF17sE0EUORRLA5AoC3+wDzUyKTc7LdSqlCwVipR/XmJmWGzjtW3NXKjKWKZTM5UrYFfK0KqdDBTkZJIJyOZ5a4OdrWIeayJKe2qGYiRKxB+m0ZunmisDF9fNK5VfCt6VEng8lOcwMnZ6ZPwfS46FQIFvLeo5kgnRKAgYZa2cXTjJoi+DUi2lv1glmPMykEvyJXSI0l4Gfc/wnZklbjNNcm9wADHzFIenfkyHzUCT4iRf799NMHGEoPFKlvRG9r3wd/zzwCwOhRwpIufyQd7haSAed2A0akjNP0c5HsOwopUL1UY26KRsNmj4P/N+CtUq06Fh/v7402SMPWTSc7xhYJiJZBTnwhA/SEgYVXUwXbbSP3yKVNHG/UETR7IOMgUzQzkbdbIKBjHJfVNzzCwGGAqr8FYqnA4L7BwU+GZ5M+cFE0XixHMRCtMjfC3SyOeyPha8RYRqladDcR4bHWdpysdgeJgtTa/lLwwaxjJFvrq4BMBQ8Rxf94X598GfoNe5OVKKs7avjV2tXbgVOpLZEENxP8+i4umUhgfnThOZO0IIN+9a18zuRIrNbjPmqsBf9zRTozbxD7MhOtQK6islrColB1JFnk9IOVmFb/n8SObP8clmJfFYkaNJN8mYj5KwxGc7pvirdjddTuhTzxM3a7h3bojPiF/mteUn6Fv1Ttra7uLW9uaXZTz5/Y+8jCfDyyNZ68EXivDOVg8H1ney3mx4MQnqH0Mw+BTVqkDm52k55Co3IhI+3FSLQiphKlfALJcxFAgxlCtxWlLAFg+z1W7C7XazkA6QyXtf3N/ExMQfdR6BwJMv/lssV6hWqpw9e5axsTFEsfpHX98lXl1kUhnratZxfcv1rKtZ9/+18QSXlvBedZ4NJ9hmNfAPk15utMDepJR/aLFSEFXsng7hT6dJKatsrndjksvoViW5kAjxlbEl5JUYb5VJ+LLoRqXWkC0amCZLp6TMamOeiRLYFbXcldQj2L6CpuETtOgtZIUS7z17GmtegUZnpYFhHsi6+bf2NoYWH6e7oZPBSiunEhn+psXNd87t4YSsljeYHRxKB3FJJfgUFjaX87ypp5PXD0yRqZbo0crw5CX4qiKvb3LTkTnJzxKddFn1GBdjLO+poeI0cDSR5Xq7iYRQoUalYKlQol6tfDF3E1wsEnwikUEnk3K13URWqKCVSRHzAlKtgidDCa6yGTmVzNBRfAGL82aeCCWQS+Ayi54DsTRSoCRCp05FoSqyxWJgXzRFj0ZFVSrhhWiSL8ws8LlWO49Fq3yj24NUCunDS8zJnqK36+3I7b9bFDubSfF0KMI2swrR92PGR/I8ULcLt0bNdMbPeo2RWzs6+OGpfkrmKKZCCFEiUKM3MpUQWeVqYT40w5xUR6+szIzYRY2+ykqDwF5fjL9sq6fG1smX9n8Bvb0GU3yeRed13CDsRd38fsYzITK5GKbwPHGDne5CCLXaS6wUY1S7jbm4ig25s9S6r2ZPfgCppotZwcB7jVpmY0H09gq11lV86cxP6dNpyWe0yNRnGK3UUMlmUWqNSBXNvMMa5dlIkNuNWn4QhBlZBxGhRE4upacwScLYgb0YYlpipq18iilpLbViihFW4ZAXSFNCEOW0iineYuglKIyxJduKJq/nWOYsrqiOYxtENgRNzDPOP2lW4lEk+JvOdh6YmyOTDWGSZvn3DXdxcOAQa9fsYDY2gC8poNWIGKRlFsN+Rg3b8OWSaEpTNNnX8UJgilUGBVsUZVZ41hIqZlBIShyOplhuslKMPsn5xFoGZHmWmxzMLHk5gowXNqzgkxfO4paquU4qRSp7iNWrPs83TzxHM4vEFXYeS8Eyh51VydMsag1s12yju7v7j7r/j8w/w8a6yxGEFEIljV730ukKfpNqqcJo/xDmlV3UqpVIJf91w+n8+fM01FcolKTU1q5CEDLIZFpCpQqz3nGejsdZ6e4hNzRP08omqjI5jRoV35nz06jTkL2wl109G/E0N3Nf/xCrm5y062SYNQ7OpXJkIyHW1LrQaP5r4vL+/jej1niw268gPh9nafE0rSvezeHj/4xJVUdD282sWr3qv3y9/7/y5zyH/m/m0hLeq8w2bZRwQUZzpchYMsomvZN7hx4jrdvAJ7pa+fF8kmoqSNSrx58T6O4zsi8Y5mPuIF/0NvKgXEEJK8FkGo0+x8f0arq9QYLqwxwq3cRrPXWoKscZt7yflsVTPBRwE2/WskOpICzq8CmLjKd0GCVqxqsp1A27UPsKVIqzxFUK4hUnp6WtXFaVMJcXWGGSY4sXaClHeE6moH9qnjZZBbdVyWBBgqfewNhCnMNTp6mYq7xdqWePokxOJ8eokXJiMco9FTVPkWSZXsOjwTjD0Ti9QoFNne34CiV2uSzYFXI6czkEjY6PjC0QKwq80R/lqMnIX6xt5QqrgRfOPIKn9Vpqa28F4HW1F5cJzyazbLEYqFMrmckVaNGqCRYvepK2Ww3cd2qOO1fIMVZi/GWji2XSUXYtv5qRvf1Qo0Zmk9Ljfjsyy8VlktnZWZqbm39t3PaHInTIs/wsmENeXsF5S4a3y2d4tqRhQyVEczqE9+i3MLvfRYe9iU3VQ3x6vMhmcwWJMcfTsRwdEhkb7XYmaUAlJHlLaw9nJ6eRlCe4by6DYyrNC6zgPQUjy+vyPByucJutQvj8O8nJb8YgmWNfyc6GyH5CuUZ88gKiSYFWaCTOFE+V7FybO0VVoqVQ9PN+e4TvTIdYVVBiZxCTmGCjPsEzcR1ZVYn/sFQIRTKs89g4mdbxw6yO0YIEjahhU/U8BYUVb9mLUebGpVLRlLvAkbKdrXo9i0UBS8bKSn2QRUkDdWKUTEWCQRD5YOcqjk/M8Hw0zpW2lVQ2NbL/zCyDWRfrO+2oC3JKajVCczd3hdM8Hyjw5TMXmFZ7sChcnKtWue9cPyPlRUrj/87XUn28v9HDcCaJWd/OE4ILWTpNtCzhE64uisljqBwd7DREmZP38aNgkkJuCpVYQa+tYZXZype8Nra64li9A5xesGPRgK7QyvFgimzVBpoST0nlFCt30lQsMyO6WZIUCZbV3KCb5iqniRP6zbzBZkCn/f16Ob//EWprX/NrnwHGvC5OSOJ0as8wOTWMw97+e/M9/SZnMzksjc3U/YFovV8lFjuKSbaWiiZDKJSns7mW+PwZsoV6sr4gQpuXp9M2bne5cTT1kDdEOZEqcGNfK0W5jFUGHceSaZLJBFeMLjIVkuAT52ltbeVNq5ehlf1y0WK1UUsKK2KiBBoNfv8j2LgWIZJD02NHIvvV2oxlQuHnqHHt4mz/T6iv+wu0Wh0L579P46q3oXUVOHp0L+sb1hKr1iGRSjg4t8hzoThxhQqlSs1Xehpfdj9c4hL/HVzyQL3KRKPDLIzJ0DWbOVKR0ug/Rb9aQ73BTDo4xk3udiZ9j7FlzT/ydDzFQzNnuVyIcFhuJ1DUEpAZMJVDWMmhQM4EJv7SFaGoX8Vwtsp4YJGtnmZax88xZA0RK7iZUrlZVlKiNuaIJmcYkjjx6Ixcb8lyImujlC+gNlk4E/HSqrLSoFARSU4xoTByGQKjFTNmlYI9mTiXy0uElUquN7oRJSKzEpGaVByLxUqtWGKxoqZt8jjTKzdyg8vJ3liKO+2QveAns6yTGqUCpUzK5OQi0pSUIzUqrpGWycsV7PXFGSkI/FWrC0OginmZna/OB1kZLLFide2v5V+KlgRsyl+396dCR/nBjJSblSr6+vp4PBhHJZVilsuYz+cpleP48ho00SIet5GgHO5y23hgYIrrIgKiu4zMOoVCvhWXy/XifhcWFtgd3ce5rJ7deSfLFWpajQZy+QhtTgvNKiU1xQm+vlSgNpfnMusAzQ3X0+jYwN8d+S6bNK1MqCrksjVstZn4P0mB5doCOolIr17FRCBMndXOiO8gbZIlAobbqQld4Gmpi+USDaJ6DEXZz0ppih9Kd3KLeIpHyl10VKCpVs5kQcVI2UpNeZhmkx2nd55m8wkWKss4Je0gXjWwVpuiK/swFyTrOIuHTbIUKysuLojzjCtXEslKSCsr9DFDs8zFQCWIn+Vs4DgOWwt74hKyedjZYOUufYgHBqaokzdRctUyF8izRv8Nqv1vp+eGGGbDZTxwcoxD0gKvjYoYl62k9uzTGGvsqA317I1kUMiM9MhNHFBWOV2OMS0HubaCuZDBZW/EwALhqpsdxggXys00aHQcSGS4TJugILWwMncKZXUWnVrNyUovr2ndwUI2zqFoguttCoT8LLMJCx69n/NpKzWqeSYyOcqigqp+E3eYZnhkWsMi83y093runTyH22xnbfE8+1My6hp38sjsObbhoyAzsNVoZSp9gTs7u9Hru9Bqm/7gvZ7Pe9Fofpm9fSFX5Imjz7NKc5ZHyk4+svpNuM2/P+fTn8qPlmZpHwkgd54hPDvF+s73oW2vITJ7CIXGjN2zBYChoSH2a62cjKf4wrIWHAoFyVQSoVhEY7OjlEiYOrufidFnWNXxdlyt9eSlJQSDiZpfyZG2tLTEwtAMm3du48KFb1BffzO6khql00Qsfhib7bcLHw8P309r620kU0fJ5+dRWm4gsjhIoDpJLFtimd5BvmBClWrhxNwZnl55GR9udHK53fyq9t3/y/w5z6H/m7mkgXqVkcvraFlWi688gLeQQtO6laoUEjIPPRkpfpmH0zUfZKEY42D/s2yT1lDSmNleGOda0crysp8dphpGcDAisSBH4EyoBf/iKIW8D6ethi1kKDesJBHXo1JGsBYWcEqGuVb5FFfkK7xOHOKOihfJYAhJbp7uEnyuvZ5/X74CSTbL6VKSIdGEqlxlRmul16LDVyqxyWplSqIiW4GZ/BTxahVPOML1zjo2TgToTvnYIlli3YoreXeTB49GxW1WkbOJFLFOJxURzkyEeWgmiERvYsqp5o5aK3mDiXqrhXt6W2mWyJlKjzLpubgE4FIp2Lreg0khJxKJ8PyFYbyFEgPpHNVqlWCxzEPDXua9jxKTuHlvc5y+vov5R7ZbDeyLpVhl1DI3MM0mbZKt0UNYa/V02vVcnZdSPu3n8vkU0m4jtjoPJuO1vzVmSaWauWILA3RwmUrLpzqMDJeqXN/WSyA8TS5ZZX5JS4Og5yq1mzbLTRyYjhP2Po1F04OCBOlCmBFJkTMCOCQiLrmUci7HfE6G0tqCev5xghI3Z2nCX4jyPd0qiiodEmUUS0rLBelqcN3Miuos++RrUSp0jCgtPBuXcCZvQS0kCCpWMZeMsCjT8k3xHs5JuykWC7QTYkHeyKHMJqakPTSWg5yvGMhmD9Ih8VPNJVCogrxFkcCWTzOjKLHC1ss2tx2P83JSqtVIVTZ6rW7s6SSBhXPou7ZzWeeV5Ksx1JFZZIaP0doosntQRVqY5n2rNvEPQpQubYqrlXpWbL+TGlMfug4ZbaEsRzRTHDFJuD09wTrdfq4twfXKMkW1itFMkWUyL/5cmj1JPR9pbWST1cj1DjPJlJp/7GhkrTmMpumDHK2uoVp0kY7kcPujNCvzCEU/1ViVcY2L0oKWvtwD/Ed8OTaphTqNG2Pkxzw4ZcKTOo62mqV/aJSNtcvpSp/Ha1jBDR4jvlSCzkoYg6UPmUrPvKETUaPGbr/yZRlPolilWPS/+Pkb56Z58tAeCpULLFR9RBTtzIQff1H791KUltLkJ2KUw7n/wlPml9xR18TaazaRabwbXdeVjEz6WJgLETK2U0qnOTIzRymfQ5VP06JV8Ze1ZmLlCnKpBL1Ox74SPOSLcPrgEN7KLDr3a3Bp7ZARkMhkTGQL7I+mXjye2+1GrVFTKmVoa7sLpSpN1ZRlcmoSveF3pzzo6LgVkKPV9PFIqJn+8+8lEwlRnFsgt6DnCzNNfL2k46uxBfyeZuqjASoLc8Rfhl7yEpf47+SSB+pVIpMZJ5FIspQfo79k5XqTwMFUlWbXDpQVEWsiwhFxnqpQD7Esb9/Sx9jCD/lWajXFwjQ6pZkOSxutswUMnVb+ceoUcrUTtUKPpjhDtpzHX9HzEcscqbKXEcGDPNvNzjojIf8PUVnv4kAhRSQb4zPLt/LFmT1I1U2MRaZpkMi5oXcbCkHkzFIEvUzBGUmZYC7Ka7FwVifj6XiGdp2KPmmKvTkV91htnMoH8GWkaDRa7s9q2V9zilU1PTRae5BIJJRDOX6YW8JaGuK6tlv4hykfn2h1szec5Ilwgm8vb0aoijwciHGF3Ui5KrKUL/HdxUW+seKixiQUeh6n86JRUy4X+ObkErsLVa62aEiGoiyopeyIaVH32Dgd8/NhlRJbYysSmYRyVXxRYPtcOMHsdIyBSomYRsoKiZSPGu0MxaeoVqs4HA7q6uooD8XR9f3S+zSRzPCfk2e4EI/wZpsSe/02WhPf4tOxa2kLDGHyVCgWqkiqLhS5c7xvy13EpA7GZ76JPnOM2WIPpoyEPao6LDk5LWYFTxdyXC3T8HV5K9rkEs3hFA3tfsxCmEOyG7nNtMi9UQtbSfCOhlryhXG+EW7hTa0q5mQrmJ54kCWFBy8GKJUxqKokSwriVS2tZhPptJfBsgmVPEuvsopO7iYSH8ajUVGUOJClx7nOOEncuIVHYik6ZUZuLIQZrO1BEPTUBy5wLu/lDSvd/HCswuvrFRwLmjnKIrfOFTjR5ObvNy4jMnmMfaVNaIUC7RI9rpKc7w+f5W1vuRa5XMnw3CQ/nS7wV2o59rQOX/osJxVzbFRtx6K08gXJEi1VGFYuYJBZOZO3c4VGzZwiwuuMz7A7cxeiSsk7u5opSKSsNOoQqiLy3xBNV0WRVKqASatCovjtd0BBEDi+GEYbeZZVfXcSix3hkwtmtk48TYOnC41+mB/G1lFVm7EpzLy/XcqDS+N0mVvosvfgkuVRKH63p6haLVEWUqiUvyzkG0+cxmJex5OhOF2Rp3gsaGJALOGIzTFpaSIsc9CpSnO7KUm7pO/36qkq2TJStfzXlr/+WBKJBIIgEAwGOTQr4YbLm5hPZdhU4+CxUJyTsTT3NDpp1qhfvG/SQoV4MMMT+5/GLVjYctt2HDoNiWQCURQpFg+gsd1IJX0SX6SCzWBEW9QQl+xHrO6koaEBuVxOPp9/SV1UrlLl1PBpKsHduJQGZlInwdaAelbK9Mq3cd4X4uq6MKG0h+FYGvJ5/vLa7QgSKR069Z/cL3+O/DnOof8vcMmAehUYOP0Z5LYaNKKG7+T72KHTMJUbJi80cTwm4W09brapknznZD+hhlVosinU9DOuuoJNFh2rdSpc5SKFdD8LQ1Yu1MR5LC/lKncHOplAsRzlPY2t3L9vD7MmKW83Vck37GJfKEbP2A9wNkY4XvwgcrWfrnIWh7LCuTI0VWv5bCBPp3aENzVtQTMh4cv6DOvMRU7OxHHqzVRcbqqJGGcqZQqCFJVKRgUZf2m2shQLs1si5R0GMxvE8wTMnYzNFFixto2DsTTvlOs4H52mt76RjweSvL/RyXwsx+UuM3KljFK1SqBYJlepYpBJ2RdLs0MlQczn8Hg8JMoCjwdC7HI5+de9p2m2nGW/dA06pYaAIJAuicilCt5jmKBWOEVd298Si1aJZu4nansr5apIT7XIt4NRbqh30BD1MlzSMp8+TayU4W/W3Iw6rEXh0pEYDWBd73mx0j1AKnWef5mOEkoXQa3kP1f1oVRa+NHMSSqJEyzlXHgl9XSkT9Gt1zKp3MjebIlb65Sci57lrQYLY1E/3y93YhO9rEooOWkHV3GCqyoRdte+hjmfn43ayHUHRAABAABJREFUEGrNCqbkWf7WnWMyHuIrqZV0y0s0WevxxssIWS+nJXLWmR3MBkdQK7K8UXqWaGEDA1YLHeVBDhXtlJW1+CtKWoUQeyRt1JBBoEoGHZc7PIQLaTaWDrJLU+R8QklGkCNXdfMTnNxeL0VXDDEWcGCK+PHZlmjOtfLa9d383ckfsTIukq2KrNu2GqNvifOZbgaTRdbUyxBq3eysCoRmM6Ttk9hH7UQ6dWilcmTnZ5GXNJxw1SDkp5FltOzryLM6ZOamyQqfXOXHITfSnT1FrNbOZG4Fa50SMkkJr+leQSUawRf4R+zqOxlOyLh121ZkMoFo9PCLxvWvMp8v0vgbOiGxKlKKxFA5L+YtKhaDyGRa5HIDuWKM6XSMZbbWF8c/V6n+mr7npSiXUywtfR9j3bs5n8pRn4nzj9EkV0iHeT5RYUmU45c0oiml0cnzJEQz15nivNs0Skf7x5BIXr2opV9UPPgF8XicSqWCXC5naXAALHaWLVvGZPZipF1+PMY+q5Q+k45oSaBWpeA/5oO8PXqEPTNZLlu3na8kCvzL6m7Cfh81cimCw0WTRkUg6uWpC/Nc1RihtfXm3zqXfdEUm8x6NL/Rp8PDw6TKAgkCmFLfpZy8E0VdGaVeh1tVQKKuwWBsxLvwPPcGemhTSNlo0WPWarEaDJfKybwEf25z6P8rXBKRv8KUShEyuhVcyK7h8hoT5XKS9rIWt5hiPjPLVqOcbKWOvVN7ianbWTMZwdlSw9S0ittSSaI7ZeTjR1gQjNQuZIgYGwhkzvJ+Q56/XTBgVxTQy0oUKkks8lmmKmuYDregqia4utmKvOZDfGU+iEIWIJ2MM1ENkNY0UcjEaNXqeKxvJd+a01MoG+hXhLhQkbBVZ2VIL+PGWicPBWNQzWNASwqRepmKZrWMR0MJuusd/LTBiGxB4OGFM/SnK1yvXc1irkil5KeS85BMFzlTEbjGqOPJyRDNopSvJJN8uLeZkUyeuXyJ1UYtokTCXXUX3+LH0xoGUjkWIsc4n2+nKMaIuRW8x7WD4FiCM9UUVylKyBUxzqjX0K1cx1Py9by+CCciEbSKW3iD04K3WCJZrPJ5mxUpZb4+6OW8rMinbT38VV6OX2qhu/1iYWPbhoZfG7eRkRHOKHMYC1E6NCK3dV3HY7EyFlkMTSXKc9JNfGntCu6fWuBAZh0T8hTXNTXylkyU/fPjmPMSHlyYZtrkoUniQ8YY84plGMQ4cnU991WbeaOzkbOZJcZZy3BRz7csVr49O4XFeA0bFXvQSMrcYlbxiZyFWEZCvCzl6ViEtzoU6MslDud7OC3VokpF2aZv42bpj/hW6RbWquK8YfnrWeENMhbtp11V4qSwimIqwF+mHuKo7AYeMzWgEgepXbadltlZXuPQsXbwMarODiyuZvrau3nPpIi+Jk9yvsg/qK5g7/IZeqsrmO0P0Z8x8GZ9nI0tHdQpFMT3LzBdmGB86xY8p0OEFBUq/QNUdCuZVUhYZ2kkUxTIWdXUx0y8a9TPsLuWBVWV26R9zBpEQu46gqUE/6TpxutQI1a8uKUaNG1tnJB9kvFQEm1NmT17HqOpycnxaYFlngE6ly3D8nN9nN//KEHN1WjSSZxO5y8HtCoiEX5pVKlUv/QyalVWlqt+fSJ+OcYTgEJhpF++k1ODzxHNV+gtT5Cnlf8QLSARiWLESgatMs2/djaSGTvHtjXvQCG95ffuVxRFAsHHqa35/e1+H78wnuK5MH9/7ixvl07w/ESAtZ5ujiHjnY6Lni+VREKoVEbeaiLhn0VplNKg0fH0uQUUM4P0vPZGCpxHV8pz//plqOVyDkfjWMx6EoUic8PDFIxm3rplHUqlkmTqPCbjyl87F0/uWRIlBQlgZnaATRs/QTSaIpZIcrBU5b0ra0kkttOw+QqSyX5stu2IokjywjA/XSgh122hYqjwRLrA84PT1DscfO3yBi5xif9NXNJAvcIolXa29NzCatVZskKVlRo1/5BPMKfUElHpqdP1Mrf/CPurG3nX2o3srrNyVJbkEVcPB9dFeXbyac7N1/DXXiPD9d302g1MVM0cFNdwZfUsVZmZUl5CPvgcm1w9rM7PItRp+EZsFN/iA9x7YYS32i3srG3gctUUdRYXBeq4xrmaLnUjE94ka90mNtYreKEqoVop858zEXJU+Yl3kVwVFDINcoWUh2srdMozVBLz3NjuZJ1ey+Spn/LdRAiV8xo+27YdR7ed5ZosndUL/FiX5TJbG00yDRuPRslr5ZyrlqmUiwyk8yzkS9SplYwH9pEpCzw4s0g8HseolDN44jgJ3zhtqjRj2RxSzHxssUxzjRG50o6lMMuDhSZKlRL7imdoMRuZT58hq5xnbZON50IB9i4c5SvnjnJ0PkI+r6NsKHFrbYmv5Mu8P5Kh26h9yXHTehqZy2VpEs+jMq2lVBrlRmOKq+xmrmi8gm3OVj4x60MnvYC7zs0Nag+tMji0OIFRnaShuZahxqsRlY1EpE6cxmVUzBYKkjoioobNZhf3eUMoZXquamnjSo0Xb7yf9pwZS6XEjbaVnEv18P1AkctS+1llUtKokyKlipA6wka9Ak3NNVzONNv1Oab1BuL2D3GZQklDsZkXgn7e1tLJZ5dfw/UmJ9fkh3CUy/xHzbvZpptEmTmFRrtEIZjl9Pk5pqIZajpuoyyMMi+vcnrhUb61dgOrziR4YuwQypKa13VewSqlhvXpNH+1vEqd3kzDMjU+m4SyosDchiJNkgPYNSYGCmbKS1bkmgpLpYNEg4vcEE9zi1dPX6rMsNzDgKBgQJ/Fa6jgjZVpzFj4uGEllXiRrkCJvu4uNCYVYlXkzc2tvK1vORbfAv32Vh6YH0FuhKOnQpx8dIifnHuak6ML1NbeilYm5dFIClEUyQoXc3lJ5FKU7l9POJlMDiAIv1+D9JvM5QpEimWiyWHuPLmP+5/4Gk/MHCeViWAWaxDR0UgKiQQ+XlrkCukiq4QinyvO0lqxceUV97ysvE0SieRPMp4C/hcQhDQ/uPAIHzwwyKBYw/szKznQdgO7NQ0sK/XzvamL95tdpcA/O0OLSk6rRoVLpUIukaDrP8AbDFqUKiM9K1YSbmhlamwMiURCS1s7DQ0NtIoCuYAPl0HPSOGiJkkuM5DNTlMo+BFFkXB4L6XUOcKRF9DrNyGXdyGRKBkbGyMfqWA5O86pUz6WllTI5QZstu0sTPt56Mx5zCuXsbHVjrAwxgecs3ysq4FNgVk2aRU8HIj90f1ziUu8GlxawnsVic8NMCkskMuf4bn0tfzNyiYeWxzkCutGEukx5NpuQvEcw2Uf3dED7HbdRL1awb7ACHfpyjhkK7BEH+UT9JAv1NArTXFWZyReDFNLnq5ijKuKJuyWCZ6p6BCUCswSCXO6tbxN9QwnZNejVpg47BviKoebFlsLAe95nszZkQgZNhq01IpzPOLNM63qJi0tIZWKrDbbWIp7eWejiW/MRzAa69iqCaKN5ghk3SzvkdIaG2V0wcILzib+ssZOU02Zt4wlud1l4yq7iS+MLNFp17FOoSKvkNFn0XE0nkKCBEHIExFkbCvPYKxZSSh9Hr1xNQv5HF+anCVZlnOD3sfj/hifbe/kKwEvbzJ7eSKxnpg0yWXKKSyuW3guEsVY9mLXt9IjnydecJPS6hjPFvjP3ib8/sdwua5neGKBZW0tSOS//33hH07t5TaXkcNFF+/ruBgync8vEc16yUgtGPJnGZeu5dj8BXZ1bSeZGeczXiurJWFaLM302Eyk0nGWIrtJBq1IbK2stEeQl+XEsmMcSSlIosBdu43bnHqeHHyQOc1ynIoKu+wqnltYQmWsIRQeR55r5epeLWPxPOORYVpqVxCU1tOan8aYtXPGbEas+IhWFPxw7QZCoQiPDO5hm7KEzi5lKZAgU3cj+elH6LTdQiJXwacTcUgElje3sOfMEhvEJKFclcM2eFNvK0cEGfnBEd549RaCzx5Gva6O5O4wOqURTZuNh2ZD7LTEGG030TwtklhcJBKYwe5o5QcFkXqJhl63GXdgBK3KzJBcSj5vxBCGZ1fouMdWy/OZJLs4TEPHG4hl/OxGjsduZ/25BBKFFE23lYI3hkypwauIoXK7WcoXCWUqbLNmOPnIbuqMfRwQ8my6bDkBlYSTsTRWuZRz2SIejZJVRh03pSREGnQ4w8UXC1qXSjGgikJiQRRBqvzlctqvZs3/7swS0pmHsbdt5IWFUaIyLd1JGXMaGSohjU9WIZ3v5i2ZAWjxoMqoKDr1TM9EuO2yXhKLg6zruQ6FQsGrSblUpJDOMHX6BD8dGmTNms1UnVFuab+BJBKoipxNZviBdwlJNcs7iiKDOQ3vu2oVkWyBwWCa1Q1W5h6b4vk+I3fUWqnMPon3vByp1U/vijcjkSTJp9NIG1sZeOoYO2/bzvDwMD09PSCC5OfGoSCkKZfTZDOTpNPDGE0riSeO47C/jWTyPFarm8VBJY3L7JQrCU6cPIXJlEVafxWZ4DxuVRCzegs2o5bkdJh/NVbZYTcTnp3hR/kKzVoVb+5sY535D9et/P+RP9c5FCAUCvHJT36SZ599lmAwiMViYeXKlXzqU59i06ZNfPOb3+SHP/wh/f39pNNp4vE4ZrP5xe3n5ub47Gc/y759+wgEArjdbt70pjfxiU98AqXy5VXDeCkuLeG9ijydHaEoXceBdJF1Uj/fW7SwUdXGyWoVi97NDqeRRnOWAzNqXPWr6E1n2Wg0MloykCuZOaIN8mO20CUmmVfBXFWOqZSmWw2+vAbRYOanWjcBiZOd8jjeQoaQ4KMoneeU8U7is4fpUyyg027nJzFozfSTLOZYZm/gcEBKKitgzUiZ1tayU2/kvkyKklhkIRMlL1PxqFdOq72VVDxHIOemapewshKnozhFjacJt0XB/vkhDubbaFctZ7lB4EvjPk5755iRGrlKqeRTo0tsqTHh8GV5WlGkUaVgh+ICi8IqfFk5pSo8kzKRTfqxSJJsIMZQOUcwZ2KVPMDng90Igo19mSwRaQKXromimOTJUIwrND6eykkQUyNEpUl0mlak/jSfXw6fHJ/mbvkM4bCXitlIoZyDcgKN5qVz+tzdtZFMcIq+bBy4aEBpNPXUKh2Uy1HU1jfws9GD3Nh2BbPh4xwVuvm7mjyyYh2jKiVDhw6yof4AUuuHUBoKLJaGed7n5wpVmAOSa8noyujLAt7IYSYzLSTtNyMvJemKf4l/KX+Uvuw8yVKMVbVXkEmP8shUmSs1+9jRupmf+EtcVTPNhKyB54rwYSGFVW0FlYoLTz2IzW2mxZunbvsWDscSNCkmaRZk+DPd2GMlVF0TPD8rYQMXUFTfwU6tjm8XQ6zIyHhjXMf50EGusK9lQVQw9eODeG7soRIQsHc146/OotPW4BQFvpnV8l4hi8LWiH/fBbo6NqPe6mL9hJetaTtHLFI6Ynpk8w7MLQbW9lg4I63yaW8RjUPPOcU8ybibvH8BWV2Y1wW6UZZlTPSYeHgqyM0zUFPbjyG8gZamJgIyEYNGijgRJpOs0tG1DVtGw9sdOnQeK9n+IFaHHLVMxhUOC0mhQlEUUdRqGPD62abQ480VadaqOJ9T8pOxc/xF1kJVUaJuRQ/D02PUtUqZCQVRnP00cmUzS9MmSqb1LGYqqDIJ1suPEbYsQ5Yx0tqwBnnkGLlKGIV9D82RDzJiN7JSIaFeW6G+qqNn5U0v6/ngL5ZwKBS/JZJ/uZx58hHq2sxYTR52bgrR43TjaL+YNsDx8zbdwTT/aJ3le+W1tKqrmKYfp1Rso3DGS1OzC2m5ymdcee4o6WnWqplS9LFsqxO1Wcnp+ThKnZrKmT0UDr3Azne8D4COjg6EcB5RqL7o5ZPLDSQSZ9CWO9CrlyNqy5TLbjLZvWh1LmZnz3Eg3s7aM3lqm1Js2bKTff1Hifh9vK5vPTMHBxitTdBqMFDpNGEOJnhwah6xKuUyl4WPdTf/WiLeS/zPIFYq5M6cRQiHkTscaNeuQfIq1oQEuO222yiXy9x///20tLQQDAZ54YUXiMUueiRzuRw7d+5k586dfPzjH/+t7cfGxqhWq3zjG9+gra2NoaEh7rnnHrLZLF/84hf/pHO75IF6FXgoEOM1Dh2TU//EhfytLKolBH1LSPU53uFqxB+J8t1Sji90d/BIOMeRtIo31Zr4tzk/TfIMG6QTrMqXmDR3MjVboKN5LafD36dCD0tCPTkxQ0dZRVI7CcllOE1hXLVm8PdzlgY+1ZbjB9NypBojr+tawd/1h5AZlUhK87y1tY8vTYUpSks0VdWky2Po1SouFN0kKyleL5nEm/Og1qSQUMSgLqMtqInIV5JRy7hNN4KjupJvRGfY1dqMa/4RvqXZyofaeqki4SdzQZp1efq0GUZLZpaZ6qjXKtFKpQwN+PhyPsp7elsZGTmE37WCNp0GJRJKVYFbrGW+5y8y7x/ik8plfEUjQVApcY0scEOPlq8uncGnaeQGTmGuezcFpQSNmOJENEJeMLCIlG2GChsi07g713GoIOfKNIRMIoZSCpO5iEHf9TvHrFxOEQ6fJlPM0dG86+ffJVAozBQKfnL5OeIxJw0NNo5M+PlxsojWbGFl/ggS1VpMaiVf8s1TI5fgKeUZKUd5ly3PcNWDYymO2aRhQ7eGj887eW99jrFwnvmIgnFlmTgF3i3XUjKMog4PsqBu50bHMhQGC0HvDGr1MvT6U0xPN5KJHMC18i1koiE0wn0Ypq9Hrcyicy3njMaPbyHHjp4O5o/9mL4b7mH+/Cxdjd1MlCdRnJsloJbQ3NjKYN7MdqOeCV8cVy6BQe/AV5xhrLmZm+vq8asrxI4Os/qmzVTzAsgkTBw9S/Om1Uw9cRCT08HZw6do9YgclHZz5Xwao9qOoJFy1J3niogRiUJG2nqShqvv4Pwz84z1ltmuDqA8ayfkeBZRfyUvlM28xqTiqFSDeXiOqNpA3q7gtQEZ6ViOx5xZ3n/tBqbOB2m0ahDiRRBENF1WZIZfvj0+Hopzs/OXtRKHTntp6jbxuQEvty2vpxQMsLcqRxEcxSBaufr8NCGdBVXdgzxnfDuFyCh3r17HT+YWOVvRs6quk/WaGOZ0hSmZix7VWWbnawjZk3iLJTbMyXHYpzBqpSxb+96Lv5dSEZlMjvRlTigDqRwdOvXL1l/9JoVigNMnH+Wfk0o81QRfv+kvfy0o4ndRLqcADZ+ZWGSNQc+hYIrLKnI6JRdwt7eQThsRU1okZJGrFIxPztHd5WboyCnkcj073nj979xvLBYjm83i8XioVPIkkxcIhUbRaAVCi4usWP13VGUSJo/7qV+hw6A3kM3M8N3ZKO/vXUtBlCBTSpEhIT8d529mR9nABU4qV/Oljat4OJblZpcFvUz6R2Vk/3Pnv2MOTe3eTfCf/hkhEHjxO3lNDa6//TjGa655VY6ZSCSwWCwcOHCA7du3/962Bw4cYMeOHb/lgfpdfOELX+Dee+9lZmbmTzq/SxqoV5hoScChkJHNjpNyfZRs/Cmuq57FLplgmWsNz2djeMwR/rlFx3wgwnwiy9bqAsWxf+EmfZCP9Gxj3cJVqB1NqPxZlntWoLKKHJDswFA1sNG0hNNcx+quJmrMDWgUIgp7D1N5F4KkQqKS4XywF2dNJw61j2MzAVrk40giC3RmJ3nh3EOQXkAo5NAWo5yt1rI/V4tTUaWKir2VPublDkbw8CwdaI2bqFj6qE9XUKSLHEp0MUOZO6052mRSNl32V3y3bz3l/nt5YTpAMJuk1VBDRdNFi87AQrGEbizBY7P7WWHTcG/RjCce5vae9XwkoaBYqaKUSqjTqPnHRZEnwnmWZEa+IB/mRNzHjYtf44UaJT/IZ1nQdNJucrKm8W4afOeZS4Q5mZWz093JlYYp3ttQQ2DuDA+qu9k9kOIWo46MIk3dUop+pQWFpuMlx21x6T6yylq+5NdyOplFFCucWDrAt888zkSmyH94K/ztYpRPHfkOX0wn6LWZUIZn+Emxi9Hweb636EVZ8UN6gn2ilqTczIrON3I2oqGrdY4nNBbi5TKb9CXCODkyEmNepaSCgV0SBY/E0sRyMSS5q7m1sRGV2MBhoYHgVAW3u5bgEQttNieFDe9hev9xyv3jWFf+O36jhYadNyNRKmiPTNDR2ISSMzjme4mc9zJoC3N28WtUwsNIV0zjbp5AERapeB/g9Ow0BbuUmvW9VFYoaL1mM1dHVUj1Cs5GYqzatYnIj0cJ3z9E/kIY6WAKlVpB/9IoKpWRbbdfh9qtZbVXwnStk7K5hKIEWwpWJAop1l2tOG3XkgoL/LhDi0Njo3ogi66xDm1rL151E/ZaGyO+x6ide5AVRgvL3TJ8oYMULTOY+xxstSkp+zI0O/WUdALHjh0FqUglW35x7EqLaW52WvD7L2pwRFGk3GlBr9fz0Q2trDXp8GiUvEWv5E2lRtb1dnHwGjvi5pU0Fe+gW9+ApP4aZvP1vF/dS6vBgCGdYWf9SvLFB3nMd5yPzFr5YlXFw6laDsT1NNQaaG57DY2td7x4Hgql6mUbTwCrjNrfazyVSiVGRkZ+5//5A4+Rzy2iN9TwJfMq3uZZz9jY2B88pkJhRKFQ8NneFq4tK7jWaWat9AC9a3dhtS5DWpUzPxjBWqsj6s1yxQ2bqQollq/ewKrNa8ieDb64rwsXLgDg8/lYXFxEq72oMZTJNGQyQRobX4NB34veup4zh0bY9/hhuja7yIVAWhJ5YSDBLeY8+x77Hv8xMMV9I9MEg08ykz7NCvMsjyg3U4hG+eFSjOlQmvFsgZRQ+Z3XdYlXl9Tu3Xj/4kO/ZjwBCMEg3r/4EKndu1+V4+r1evR6PY899hjFYvEV228ymXxFIjoveaBeBfKlFEvzX2fC8GZSkedZVU7wbESCz+DAzVp0qhI/zmW5zVxE69ew2lbmrAbOL8b5u407+M7gEhVlEn9ajWDR0Fhd4PGklH9tkXEkbUeRC3CVZIkL8XEiXMXGrk4eiGdxT4wwYM/TV7OWM/EZjFUVu1p6+K4vzD3pIT4vc7NDq6GikKKPzfJo1Ui9zkl/vogaGTryyBR6VpUlnCXDDVYLb3S5iEf3MJ6VkC9o0Ylq1GoluuIiRc081xvewaRVyXhmmNGShcsTcU7r07RZe5ldWuQ9ti7+tZImVa6yUa4ir5Ywkk/wpvoGGpdyDDiVTPseZmXNZQyXrUhjS1ygwrFYglvcLbTkI3w3nMEpi2OtzlOVW2h09FEs5slkx7mh6ybef/4st1lkHCwouUVv50abmXOnhultTJAX7STLXkyWtbS1tb3kmFWrRfz+J8kXsyj1HhzWLVx17Cj/0rGcb8zPUiwssaO+k9jiOU6LHkbL0CULE5S6KZDGWKwgU+lYVz0Bths5lgxyRzXOTFpLi8mPpe0G6orn+d5sGaXBjXrxIHXWWgrZc9wobeOCXqA7W0PPpu2MhSKMTUW4+/qNzJ47w9jQGGJikiMNW1iR8hOouKg21rBrKEFBksblbmHv5BG6V/VQE9JzavBxWq7ayvzMAdp2KIlHRhHiGRrr/wFLo4HFJ8fRJcwUmqvUre7myaEYHqsCkiWcqSB1Ld1k60C3JLI4cJ5sMcWyu69HLlUw9dwRTDgQxuNUkxA0zbFg72GbRk18hQ3L8TD6TW40vRfTBxQm45SbjURLZZq0anyjz3LI1MfrLDaS3gTT5x4lJF1iv2Uz+ooLuUnKDfIs5fQxKuoKjmgzgnqBOvtdjKYWcBpMOBRWAv5HMfbcRObJeSytTqRKGSldCffq5t/phalWqxe//7lu576lMB6NiittRuKhAM8n8tTYbbRPTjM5fobF7quRV+HZXBqpdAynwYJsqcxNa/uYiKdYWUiwYnUf0legmGqsLGBVyHkqlOBpb5Ce9BRbDBWam7dRLBbx+/1otVo6OjpYXFzE4/G8uG32bBDdmosRhsViEdXLKHYMF6P+BEEgg4TA1CQtLS2oVCpyqRLJaA5NjRaz5qKHLzyfYnhskJZ6G1qDGntD04t9KpVK8fl8KBQKHA4H1aKAVHUxCa5SWSWdOYhM2kZ/zsaFkQSe2UWcbWquvu5KBoJREse/T75rE0cWqnTkR6mpCXFBuo5NqkE+M97BhmoJwe1BYXPymZ5LUXgvxas5h4qVClNXXvVbxtOLSCTIXS7aXtj7qizn/exnP+Oee+4hn8/T19fH9u3bueOOO1ixYsWvtXu5Hqjp6Wn6+vr413/9V97xjnf8Sed2yYB6FTgRi2KP3ccZoYVNjna+M3KGu515dOoWJo+WeHhZDzWJ58iae9il9uJLL2O3GOYmm5zjQjuG0igehZZzUTWG0jFi0jpKeR3NzXU8HBb4QGM9qVQcS+IkC4UwBmkXna1uFkZK7FePUWfsYjoaoiqt0CypEhdbceSCLOlrWR9M8WitnqQQB6mMHiwICgmRcpjxqo5WoNNQJlAw8CaJjN6aId682ESHRk6n1UFm4Axyp4zVzRuYjy3SVtuENFVENTHNfKea1WUNk2qR2aoVlzzHxlKZ8UgUm6ina0U706UiJyILaNW13F3vILOU4oHZCa7O7eEz9p2802Pm2wEBD1Jud9n5T/8sd5al/B9RymaDgrdpTlCIXcX31AIl3xgTVg+q/DxZmZ5OSyOzmTwfbHDyQiTOR00pNLRBoYq6zfyyx69YLHJycpr/zFS5xuTHkXueL2SuY4VJTyw5yWuddsKqZTywOMqV0guMyZahk8rQKdzcLjzHC7mNNOnG2dC8kdRcln+PezErSngUdYipJ2guR1DL0jxvuBmPsoYPr1nP9/xZHGePUvSsRHZ6DxsbVmG31iLUKjj/g32UnXFyRQtLW1fjfvooyjYjyxp6UEwVGJ4bxdSiQl6QkS9W8JemsfVOoa5swpU18Lgmyxska8lK06hLamLZFKUNK2k8EUDbZUUiSgmxgMYY4acXcty1cRtmu5WyP4tYqjCfiDN67HHaqu0o28xoJxWQq5KkRE6vQbmrhXZknAqnWW/Soe21Uw7lqKSLKBw6ZEYlPw3EWDf2GBmhjMLdyyOzOhq1JRoX/XzS46JMBhtSmtMGllt17BcFPMF5Xmd8jkIySWPrx/mGN8mN4oO4NO+iaqyyWBmkR7edycX/oLZwO5KaWdwbdyGVKpFIZEgkL8/BHl5aoFQFZU0tDqWCakEgPjzHQZcEbd6AqSoSMClILy7QkQoh0xlYu2HjH1wu+01+UVQ7VioznPDxdAyutJs5Ek/z0QYjHxydwZ/Psl6Msd3qoU5SJRKZZtWq61lcXGRqaYmpeIq7rtiOzWb7Lx37N8nlcoRCIZqaml78LhOL4ptMIpRCLHR00pKO0tHWxvjpJUR9jtC5Mba+YdevXXcul0Oj0bz43fjP9tG+aztlb4Zj/c9RiDZjsJgYaZHTpilTJxtAJtOh0fRRLB6j1raLPdOfRqp8DYfSRcq+CF2uOpakIviOEDBtJq5R8631y7AoL0l2X4pXcw7NnjzFwlve8gfbNdx/P7oN61/RY/+CQqHA4cOHOX78OM899xynTp3i29/+NnffffeLbV6OAeXz+di+fTvbt2/n29/+9p98XpcMqFeBC/5jLK/ZxFfmltiR/mfmVTdgq7YRly8gy/XgSYwS1BeQxWysc7WxVzfEvRELG9RBlqTtXJney1zNjYymc0zHMnxpRQ3fnA9wLFbALQtzs7mGjcUSX63EWO8N8lzjKirlFPPYuc5URVON8rHWet572kfZ4MCQzuCvlnBpFZxNVmhQRSkX5QimZkrlEkuVIk5UqJQ5pktyVqtFXMkyVXWJZaKK1rSFTGOCBwNLNFBHyaDnkx0GPnA+yy5jgANFKVJlLXmxyptrwK5W8bWFIPfUNqPWyJktCGSzRWJFAVOlzFUdLUxGM+z0OPCdDTBfoyRYqeJcOsDnqlpul3YRtipp0WtQpuNMFrP01TeRCx3ky0ElKpmbTsk5zgomvtu1im/MBkhLq1iMTkxqHblKhZPhOOvtFtrlsNNTg1Xx8h++j/u9NOjMVNLnGUsVWCgU0Rh72ZI/TJNrJYnMIHvD3QStDjoTYZ6T5JFVy1hlDixCAIPaRZFZtivq+FJCoKYQ5IpCFdHeyonJQTbIg3SsuJrjiiw3mZux2Wyc29vPSHaJyZLACnuKBdVyzHv2k6wKtNaaMEodJA0l9N4sxUgclc3EUHiEG9fcztlz/Vg9FhSqCsOWOtpk36FaXcmKNbdz7vi38Kpfx43LjfgfP4/j6h4i4SXSc1XWbtvA2MI3qQ/dSHG5mtrmBr72wgjXZUro2nR4h33U1Xv4XjTNzUERgy9LuVJCJlMStqkZbtLR6ZChLpRYfdUKsmcDqFotKOwa0oEMuVKRpHeU9nWbWZqYR2FQ8bX4OK+zd3DvQhyTUECZSzCXhKqqiEQGt0YTyFsn+WpiO6vZzy1FNaVyCol9AV3i7dRtrPK+MTW7JmO4cqBXyUFawGGs4SstKv6+RSCZTFNb24bB0PyHB/t3kBsMo+xWIwhpnvfJ6ZyZpKGrG239RZd/RRCQyV/e7ykej2MymLjXF0aW2MsbGjfw7FgCjyHJ+o6NjASOUZLomPRfIGq9mnH/eWSKRrTjE3zgys30J2K0m1wcfvYZsqUEEmuey9qvZ82aNX/Utf0mpVLpYhWBfIWlsSGcjfWUSzocHgOpVJqkt4zRoWbiVJB11zf/1rbz8/O0t7cjRCIUp6bI1y9DIoHR3fO4ltsRETlx7gC33nYLsXSQxsZGwuFhcrkh4vFOZBIp5WCOYU+JXGCCzd1rMJp6ODk4xNbGevwaPc+EErTq1Lyh9k8zGv+ceTXn0ORTT+P7yEf+YDv3F7+I6cYbXtFjvxTveMc72LNnD/Pz8y9+94cMKJ/Px44dO9iwYQP33XcfUumfrmC6ZNK/wpSqVR5K2nk4eox1tma80T5cRT/fy5SwFh28t0HBWKOBfKDCFyUaNiryXGfqYUe1yC3GIodmIvxE0sutgYM8X9ShKdl48MI8XpUKs0ZJZ1XCw1k4qhTZJhtjVZOeghyiQpm3uFV8dymPWVIkNnSOHZY2vhOIYNXrSZXVmBVVYvIq8Yobh0zKSrWCpUoMq1SJUSFnNq9mhTxAr9jIY5ocG9R5ns2JWExx3hwcR27ZSLqcZ21lkb+ec+K0W3i9pY+bRRnnNCL/NDbONxer3OrWc0/zcqq+LF+upPhwcw0HixmiQon9+QrlUILD8+PEszlOx5y8Wa3BWt7L46obWG/U8JaWWhZLZRwE+ftkldsdAvOlNI7iXmplb+GkWKVSdXOjcphbxpro1qppFcZIForc5F7DWpOBzwkC7/LYeXbWi+ZleiJ+wRblNHrtJsqKVjxGHTrJxbX4ROIGFAoFXu8x3rV2GVKpnIcDGj4qW+RYYJRTOQt7Mgo+7RQ4PDdBqKGDjYtnOdfUQ9Q/SCU0xbXls0hq15Kbe447e97O1MgFBsd8mOt0NEvKqLByajjCOusiAzodmw1G4tlFbBIj6oKOnLFCv9LK5qgET2Oac7kn0NgbyRor2LUqrt1uxxz6OMaWHtL7l9jS/iHGAuP4Dy1iKblIHpil3t1GVVMmfdBLg+VWUMLUSAh3WyNv99RSSRWRSOSotSVKvgR3zKWJo8aMjLyqjNZlxZ7JcKu7FnWjlcJoFGQSQIKYL5M5lSSmlpBtNKCMN/L00TnUyQP0tvYwNFvGFz3ALc3dhM5N0qr6Pqecf831jiZGT+yms289X6cVUgv0cwVa+Vka5HGmJXdxQ/Q83+xv5zafn+50LTnPNGPF09SJGgR7HdcMFrk30Me1GzeSWwizqvePu4c1XVYkchlyuYEbmkTkLU6KC7+s/zZ58ihdl/1uQatQFSmKVZYyIdQSgacGArwgEfFYrbxHsx6TqY07NkCplGbwwlFWr76K0fgMatV2tthcxCNG2pwm1GETXz9yHG1LE8JMP7W1tczNFdEX7UxMTNDb24ta/aeVNbl/epE1ySBmZw0GtRW5so5yIY9UfjGy7vSR86xdvwajTU3fNY2/tb3P56O2tpbEI49QLcnQb92Aru7itiVjnonTAXq31vHGu1+HTCFFb2mgUAwgkbgwiy4qjsMkvM2IhlkKC2N01m2nRhZlXzDIcquZn8WyGAxSdrksrDS8dA63S7y6yB2OP9zov9DulaCnp4fHHnvsZbf3er3s2LGDNWvW8L3vfe8VMZ7gkoj8Fed4IkurVkcgPkKHqkwgneDxSCsV+0omjAke8D/AoYgKufQEblWRj9ea2G53URc7gMdYx9WdWuqNNdRK2riGIl/QWmjWq6kpRLhKNcUBwYUnWkTIzJDNGfkJDnqT7+EGywKFmcfoy4ygqzo5XMgyRBWJTE48n8MChHIFNGIBq6zEdWodpxNZzBWR11pLKFN5bFIp31nRw4gkyipFkGAKGmVgyIZQtDawVTHEUjnJLR2t9GplnE8XOBQ/yfFokPF0gS+3Knhf1cd8Wcu/zCwxo56kvRph3+ICb0LFtaY4y3UChfQ5RiQGvpHwIOrkPCrX88XcaiyqJW4wyZk58B0ePTtHMPgMH2528+OEnWvlZj5XvJt1TjMupYzX1yg5XjIgI4hdqqFYkvNpuYMjEzN8ZylMk3QCsyByu9KK5nfkf0r6Xzqhos22DZVcQTZ1Bqdei15/cVIwm80oZFKW9b6Vg+Ek4VIZXTbO50YinAg30KMNcEV5L+LcALvMeYQXPkctKT6kepAa2SN0zs7g5gZas+1YkhuoSisUklHqrfUcOHqYc0cvYDaW2KBQ0JnT0RsTUaZkrLL1UkgUmZCLxLI+TMoS/augpe9ddDRfw7K3vJ51a66hb+uNlBalhAYTLJ77EYpmA0tnRylcWKR50zoK+tzFEieOEgq9GsPGWhQ1OpQr7BSLOsr+HKNP7WVhdggxXSa4kKc4XkKRUzGjKiH26dDd1YrsdR5qP7CGEe+RixFRgohEImHGpmBEUkWmk+OQy3Ds97JfSFGriLG/aQcHT/nZajxCqmyhZv6LaE2dfFN+D+FSngtLR5hqynHqXI67El/mJpOLt+hH6RGnmXNfS1nj5oS6g81pK9MNCjJdcs4uxdlr38RkRkF/upMaW5xGa4Gzp/oR/Et/9D0sUfxSx/GLFAOqhl++1f/CeKrmhYsRikCgUGLvVICfHpvlCyOLfObYDFFBiqbNw/c3NPFPPc3MJC9wPDjDdK7AULaIKipl3/gkS2fuZbl6kPFMijdXGnl+PsOFhnakLZ1IlQV6Okxs3boV9dXX09C4m56erj/ZeALYUMpgsVgxmUwYLGrsHjM6Sx1q/cX8VVu63KiLGUK7f0Y1EiJz9CiiKHLw5wWR3RIJymwWpceD7vKrmHhhgvP7Fjn5xAyiIKV5uY1ydY547DwRX4aRkUEWFwaw2+0wnUUwX0dUEsIbSNFduoKhvIL+MwLzyRwX/AEsKiV2pfyS8fQ/jHbtGuQ1NfBSS9YSCfKaGrRrXxmv6K8SjUa54ooreOCBB7hw4QKzs7M89NBDfP7zn+fmmy+WEAoEAgwMDDA1NQXA4OAgAwMDL6Y58Pl8XH755Xg8Hr74xS8SDocJBAIEXkrT9V/gkgH1CrPBpGOZ0USd0kmxImV17x1sSp5mV3k/FcFKr8PBO9vduIM7eYtigk+Pz/PM2AP8oNLKZMnAA3Er10iUWAtH8JZkPCgukbLYkavNnEzJaJCnqe9qZG01w1TCyrvddsatX+XBRC2quIXDaivXpe/jOW0TibhAQSyzVmHEEUywMudDo5Bhl4R5rhpmmSZEvSjnRKoMqiSJSpY3DS6RFFUkikYkWi15nY3mxmYOLSRIl4zcY2tlJGJiOAGNygojsVYI5GgLPkdMVGFStzGcKfIhR4TxWIRgIY3VaOczuRQjJRfpuIJjBScfNlppyRe4StiHRpLl9Q09lFTtPD7l57TejYK9zMu3IJXKuVEf4f3TXtzFMKHEIG3yOOdCo2Qlbl4rg7H4DOcVJk7Z4BZPgKFUjFSqg7O5Ep+tZLjfG/mtcTqQzPzBsXQ4rmWhUOZMLMSJWOxiqYlQgEdmZ3i2/xGePvpT7l86w93FIerjYTSaTtZpXVQjIonkStQrbidf04VZ+Vpc5qsQGmeZjY/Tf/wZso4sQqVMaTLF2ekX2G66jA6Zg0wohCJR5cjcKWT6Avp6C3Ozc0Qb5XhcXpbL2+nJSrEUTzJVEWjv3cjCZJbzFZHjz4zhD8QImgoIuXaisTDnOs0UXTmM7TWY+9qwv24tsjYHmh476g4zcpMSWUlkpRoCPzxPvFbLcFJP8OAYXTkBdaVCRQftKwwcaDIi5E5iMBhQq3Ss6roGZZ0eVZORUihHUzyLKIVHKwU0XTZ0zSbkJQ0Jdz3XFk7RsX4jyezNfN7YzYX0B2hUFPjA8j5WaBaJAgbV1Yi1coTidTSl5gjKjORq3s8TsVoaQt+ix3Ce3HIjIa+aQLVKbk2JXekhJHVprDEJqvgurgp3MhIXqattBaAczlFJ/tejd0Shili5qG6YWfKSKAt8Z3wPe8IJqqLI/kiCaLbI4WCCyEyc7EMvUDPznwTUEl4zV+Srzla6NRVeY1hCr3GSSxzgsmXXMhcsIJ6ZYrnayIJMT9wXxOV6M9lsB3fUuTFYo3x7cwcf6GziAz1d7GpaS0fHVoxGI01LD1IRrv8t8ewfS1d3N5H4c6gUSqb7wxhtGqK+DNGli/eGRKlC1CqQLe8iEFeSNV6sHdmjv2i8CfE41VQK7bp1qGp0dN+5heYVdqx1euxOO82rnGSzwxiMy9g9HuRx1Hy/fFEILq4xUZ2Z5YJgo2b15fxIpkLmm2UkI3ImmeNLEgNn/RF6DVqK1eorcr2X+OOQyGS4/vbn+ZV+04j6+WfX3378VRGQ6/V6NmzYwL//+7+zbds2li1bxic/+UnuuecevvrVrwLw9a9/ndWrV3PPPfcAsG3bNlavXs0TTzwBwO7du5mammLfvn3U19dTW1v74t+fyiUN1CtMoRDg2fkjHExa8EnMWMQoTn07f+E08Jn+QfwKJdeaQOfspC/3Lf4puYV/W76WtN9LQWbh35IpNlb7WafO0mLbzrsmvNQrTJRVIlORRfyimU/WO/nkUprtMoG+Ogm5M1M8ZjFhMXqoL07QIpfynKAmKdNQqhTQYcOHSE3VS0nUQlVFQSkhXpGhk0pYJl+goO5kKlchXpVhlEtRSiR0KCWsFBa4SVfPTyQRhHiAw6KVK2u7kGZO4k93cke3hW+NLNHsrGWVMMT1vdfztROzvL63yne9ZeoMdp4LB5hO53l7jYaIkOJs0ck6fZUT4Xl2OJtZSGd4TWSIYcd62nVDHA+uRB09zvq1rUg13Tw0tYRcBa8rVbhXkmS7vMhcOM/1NUOM5uo4nTQzYnDTUBEIi3nub1vGd1MVjudyvLveQUYUeUOtjaxQQRBFjHIZ1WqVYrGIIAi/9zcXi8c5OLOXo+lRdooip2WtXGUrcd+0hLzoxlGZ4SalFpWynUNUuUqmx1lUIOirZMrnmB4NM9O0mcj8HDvMaQibsWk0KLU6EuOLKDRaQpkIaWWJOqmJkkMkPhMnrc+RyEVYMrrYogVRtoCg7aa3exVqhZaJkd0YPatZaOlgeayIw+zi+0Pz6M1aas+cot6iZ35hmNaOa1n+xvVUKjkWFoKc1ph4jU5HYO9+tCscKBJ1hJ8bRanRMl2pUJaKdMWqYAREBZoWM5bbOhBCeSpS0Lh0pA4tomo0oWq82G/ehYdxe27ju5PH2FTTQ5feRDodZndOzpZCgufO7eWA0cobZOdRVBrYo97IQnSGTu0wq509PBC2c/dcnJrVzTyVitLoO4jPtAFPYgqvawcT2TR6xSlewyFOzazDVLcGn+wgOdsOXqcycmg4Rq9BRbirhWvGM5wKzXLWMYfa2M4H1m5CrdP8WtbxP0R+Ks4XTp3m6jU9zFcWUUoNFJR28v4crRPzrL11Ld84OsKtWTlHm2wMKyu8OZTGklDwObfIPR4T355a4KOtAlXnBpKVKmfiSVZlskzPjCNr7mGdcJTzqbXYxAXazZ0IehlSl5UjwbNc63RxIOdkbbWARJKkUh3GaLiGw4cPo1Ao8Hg8NDQ0oNFo/tTHFQee/Df6ttxANlaDs8HAySdnWHmlh8qpQ+g3b6ZQUZBNFkkGc7SucYIgIFEoGPnus3TcdhliIY/C5SIZzjN5JsBSnxnnqRiOGh1eQWDWJqNl6RG2X/E+BCFNsRimVLLQf7ofu3mBsv0K7h0/gUfXRDYeo1Jbz+uaPZzzB6moVFxdX0ODWvlbRYkv8ev8ueaB+t/OJQPqFSYWP04cF094J3DlDnJY2EaDaKfTHqHXpME734LWMsDqxmsRZHIOx9PsmzxFtpjlI8taiClb2TMZIFIYwGrtQB05yjOVZfgkGkTgNS4jNwgaWlV5PpmRkkh6WZc9Sda1Cnc+xA/pZHUlhVsvJytVMRsdpteo4umMh+5qnGGFFic55spOAgolSrHMzRqBOGlOFl00SStUxRCOkkiTPIvT0cX+sBc7ed7dBM/ERUbTBlyaHCFFD7WyFO9tXcbXho7z4UgdT0ojDLpcpNIltjbZcCiVKCQix0OjpLIJrnaaOFVuYDKbxFiO4aaORTncqT3D92NaonI37zXXc6GaZ5liiAPlZTSnUxySwSaVj2nauE3q58lUknZRZE6uJJkNs7m2kf5wnHDGQ1ZWpken5iZ1lc1r+qiIIsFimcGT5/DVN3KlUY6sVMRsNiMIAiaT6SXHM1Mq883pYXSZPWzRbkEiMeCVj6DT7GCzx8GRp46gV6cplHQ4asKkz9jQNsqoEkUSSCAtNuILjDOTnaDx9jfhveBjWbRAzBojHQyxZuMNxMJekrN+xpeO02vdwqD/EDqdCa3LzznHLVyhzCMVJNSIHuxb2ll86DS6RgfybjViOY0q6kYo5ihOp4mbKphTShxr6hEVEtRWA9oeO+HwblT9Heg21pIfilJOF1BaNCT8QdInvWgtJsjCU84yV1rGUU11s7tDxXZLla6dl5HtD7K7TsmtLgspoYJGrPKDiVm2m6bpPxHh1lvewCOLIaazeW5VixydeIpjzuvoSIkUgmO8dUULzwTPsL44yFPuW9DkTVyQpvnq6k2c2nMGhXYEo2cTXx96gbjWxXbVLGr/akoWFWsUEzySgLp6Kb7RMrvcMUaKfjShFErNNoSUBVVhEENzEuWyj9MuDxNNnCcmiPT7rbxlTRP54gXqG27/rfH96pkBArIiV0skGAIWzhdOsbY8g3nuSmQfWMvPxhZplgY57YvTYjVypbbMQ5oWVs1MsBCTs2mrhXtnCvxVtcoZs4zKZJSt1l5+YhPYkLvAszSzrb0VSzpB5NwEU3VWjAsRXnvtdh48N0tI8RCufA8mjYl5pYsPrVkOQK5SZbj/LLFYDI9H5FDGwRVmAwaDAUEQfi2VwZ/C2acfZ80NNxNeTJMNp/F0mpBIJEi1WgYGBmhwtZObXaRaLFK/bTneD38YRXMTJ529tBoKLLvpl1nXy8UKpbEolVodz+weINXXxLq8lAa3HFutg3K5zNTUU+SqHazp7eVCIMz3zo/QmgxjqlbQb9pKMhhiUavn3e0NVJHgUr265XD+XPjvmkP/JzKR/2/mkln/CmO1bEKW3M2V1Sdplqlpk0uol/4UU2GKkzPTDBjLxEUdPx07z3cWgzTln8MkurhWLuVg0c0T/jCqxUEy5SSNKRX7K72oZTLuELPYxBJHgjm+6T/Pm70RXpOVs9amoVW3Gn0hzUI1yDK83F2bIlhUMhmSYjesYVXjZgSlhBGFilzVjB8NH1YkaCGOS5Lh0YKK0aKaHr0eqyJObVGF3NbMG7s7iMZOsUVW4Xp+RkSQM007JbWeBqXI2+trMFVTHB+8DyRhSpeZqciMXOOysqSq8vX5BbZZDZxL5zFKtWyUteEvpPHli8yniyTyZuxGJXerfsx4eRWt0gZebwqjGptlKDLG1IwRo7SMs9bMOoWZvZkmYhUp2uz3aFYZOZmeYk6opTYbZLFqZkZQgiVNhADG6jOMWLQsLHyXdM7Pp8YnENy13GxU0OCwU1dXh06n+73GE4BeqeA9LR7e0fdBens30d3dy2bXOtZUlFRLFRqiCiaPHEGZeI7g0DQdG3vRDsmQ+6zsyzZTNUrQ6kzYZFYss0u06sJoqmrUkxIseSvZoRCF2Ti6Oht9O27G2uDh6ve9n87a9Uhzy+gYP4W8Kqe2pg3dOjcFIUfstdto2L4G70iaSNcGLiyeJDy7xLN6sMYlCM0FpDYV+iY72i47qf4ppFIlyKXkh6OUltKUE3kwKSifS2CQmUiIWaaMBa5ZKiMPd2HZ3Mhdy9owLrsoHtb1ubjVZSFbFDh93k8qHqd1/Ic0uDaydlUNmVgE+cQDyB79PmcUevKFRm4U0tgzMW7UyDivMmJMr+FH6QY6kgG0FSnbpLUEzo9TK+hIiVuwx8+iNSq5nRfQ9svxVM/hsO/jlGMlMYWJgxk95zxdfCazmXIlRXOng2Snm5lmC1LDBKailNy5D5HvT4FrGX5vgN6CitTSLAvHvDzlm2E6eIhYbIhcbo5M/xKeQJa56RiJsSg/NUwzpl2JW/Fakq1KRrJ5djoXGM2fYJN5DmPmMPelYCY6yLhWz8bty8nNHeay+UEq3d1URhaolyc5FvDxRlkcvVHPVm+I8A9+hjGUZXFFJ23pOOe0Fd525DkmdAtI0t2cVNRSI43x/pXdAPj9frKxKOvWraOmpgavV8ZKtRKdTofL5fqDWZb/K9S0b+Pkk7OotHKEWIzUuRFK8/MUxidY3tSEtVZH3cYOrPIU0Wf24l+5ntTjT3DNxlZa162jUqlSygsI5QoKlYxjkzMMHJnBJlPTNOhHmihTKsg5sBRDIhFwOpdzTpAiiiKa3Ek8YpKp+jZCFTWjZZGnSzAvQNbvu2Q8/S9EIpOh27Ae0403oNuw/v9r4wkueaBeFWZmvoxW18aJaISzeS3XiAKdldX8e3aQXSYfDc7rqatvI18VGVzaw2dnpHTbLHywfTmB4DzB+BjRRB059SmeKzfy16aTHM3dwljcy4eb4hwMnuEnstu51SzlkWiFG8UAUxI5RWIU0iaub/DwTDKBPhViv6YFl0xGRqImJwpAmVxVwVqdBKc0xrm8gT5NFl+xhKaqZklqYStKItLzyMs2Aio1f91cB8G9fCHbxmZHF0K1SKngQ1KScKEAdxEnaauAuo1t2dPoa3u4f/AM45rLCYsJzFoXl+tzeOMB1jtWMlStoBVEqnIJz4fiLFMFSVc8qCUCl0d+RK98E0GLjP26borpsxwr2rlGeoQ8WykJk7h1Kg5lu9BWK8yUIqxTBPhMwy08OvJT9kilVDQ27pToOFjKc708S+eyzfjIoo7JcDgcWK1W8qNRVI1GpNr/2kN69Nl9eKzdiEKVC979OAUP5ak0/twQRrmDoCJCh6GPyeoAFk091lX1WDMOYkUfyqiCaluK1AtLKF1u6NGSSyZIByNojAbaOzaQHQySMacxm5ycePQhktUwy3ZcQy4R57y7m/dv28CFH/SjdmeRny6zZ6WBWxIqpiuDtMtWI82JJKphxkv9XHnPe9CZTFQKAlKVjMwxL8Fzk+SkGUR/ASN2xEoVmUaJIJY44xS5oreNY3PzrF7fi60+ybRvniVzH+umR8jmDSg7Q2i1Rii2MDx2gNmckWm5kr/evIbHx73ovEHc5hmy5FH4lpgW2ultKiMp6Zm2NVMcTmNoa6Fx/hSjTSLJdIoeaYJEJErOvBOH6kkezb+Rt5eOk9Qc4l8qb+WdsuNMBO08WdPJsmo/W6QmBFmBs+E+ctoYd3rlTKlmKS7fzjXqUyjFFUjs8Oi8Dsn8ApuXl+m2r+Nz/SnW27U0l3wECoeQmS7jmaUKbyg4qau3YFtp5eEJP4tLk6zsNRBYKuBKfYUmxXtYyOZoa+ngaFJkXfEcrStv5uzcONa5HM/rNUQdOu4qlDE5dfgvlEmpQpwol7hWX+TRSpZumYMmlx3FnI+wZgJJpY6rrrmVdDyF0WqiUCiwO11gp93EU4sBdKMXKJfLNK5Zh7yQ56dzXnaZNK9Y+oJfIIoiF/YtUtNqIpcq4WlQE/7K91HecSvFqhJ3lx2ASiqFoNDiPzuA9OEHUSxfxnw0innbm5DJZWj0Cop5gdB8mr5rGhg74WNJyHHDNd1UiwJL4aeQkEatv5x+wcgOo4b7j51iMJbh9lVankyYGS8o2GJV8zbHxWzpfw5zwX8Xf25z6P8rXPJAvQq0tPwFTsc1dNtXcjLtYHehlTlXiTdLwiRLMg4M7iW/mGT0xKf4v+ydZ4AkV3Wov6rOOc9MT855dmdnc97VaqVVzhICRI4m2ibY2H4G2zxwxIBNFkKAAsoJpdXmnHd2co490znnUPV+yBYPg4EFYRuj71d39a1bt+veuufUueeekzypZ4NY4ip7PT8aHePepJKGmkZibpgUbTSUBng6VY8m+zxGYnwn0MpB8U5asnEWQhKfKwswrGxkuGQlQjWLJhtfiAjMSJByVKIQZTKICIUQq4mgAAxiCX8mgJBSgKzlUMrEguQkrdLwZ81lDCljOBRKqgUFf9+wku+MTfJXiY00FbSk5p7GkR5kMjxCh6OGuZJETkyzL9fCQjbDv0Si/K3XjLH+GjoVr/CZsnlC+SJWnYuNJT9f94WIeSaZy+X4/vwSVZIXqRCijbO8WafhAdUO/khVwyfSLm6yJVAmc+RlmVekq3kko2QsVkd5UcPf1Jr5v33liKKKnEfi6sV5hmt20aDp4O6qCqZVMzTntMSy85T0JizGJhptNa+F75/FT0Fx+c6pbTu3oe8tIxbx07x2I97FSSaKF9HgwB/yEgkuMZsfYeUV11KzqROlRkXancHZ18xkoZ9zp6bwynFCxWUUcQHf9DiO2lrUgobQxCzz4gShqJfKtd30VVxFS+dNqK0NWHXlxJUW+l/cT02fi2ptMxOWJdZkFjFWO6mONRK1B4nZo1Rv6GHdbbfjm57Ad2GM+e+dI7cYJxtNoQ0pUSdDlApFMk15LBtqkIwlaj+0ia3t5Ti31LFtxyoqWxzotPXYYpU0RH/I6MhxJIOKwmiaaGyMiePfpiA/zipXjpWXTpAJhdmmNtNQ38xYwcDhoJ9Tlm20NIzgL47zI7+DH88lqNzUw5beOvZV6QgHDYSVlZiEPrxFHR7peQ7ErHSbzyA1Wrmg24CONP8qrCKi11CbDrJtoRKt2Uz1XBQpGUYXTBDPHGC/xYLLP8fjJ90cCA7xj4Eq3reqhwGXku8s+/AVY3g1EqfDSZ70LXHIuJoLyb1UNFRzb7mHHzsERl6+wN1dtZRZ3GyyqChzRNmx6l6qetagCrtIXDjPlZkwhmIbx0JBApoQJVuYutYC7eMjTIzO8o+hNM21NrrEalKpLOG+bbxlxR6qdf3cNzROv76G2XANYnmOH0xNo9JluXD0DP1Hz7KRAosz0zDUj0KhoKMjxcz8JNF4jD16JUajkVgs9rrNU6WSxJnnBogsjSNLYLCo8T23l2JXF0W1EWvlq4I4Pz9PdmSEV+bmKA6ex9DXh76sjPWf+ASZ0jKLJ4eJ+TMUUwVeKCTJZOdoWW8ioVUydnyJ/sMDHM91AAKGBR1XOy288MJTtApB9sgFzAkLh5ajfLLVzQdqy3E4HG8oAW/wO8EbCtRvCX/gRWY8P+LD4hG6yiqZVNoJ1VWx6L6GRaWOqeFvMEcDB8zLfKihh1huHmNkhvfKCkL9J7lVHWGbZp4dui30qqcZlpU06OboU/oJqS28rxRjhbxAcb6f1opy9AYnUbEcZzGNE4HyYo5oSck9Wis1qjxVqizLFGghi6voIVq0c6CoxSXHcElxPlxeoiY/x5DvHEV0WIUSH+5s5tGRs6S0durFGONksCjbeClVC7oWzgfHuFLW8qzSRTaX5nxcx6HiKk4spUiG4cbqd/CXU+28xeRlKRJnr7KD6yusJHVpSKe4XhckrzFi1LdgXhqi2ilT76hBXyxQoVTx0MQAJyQ1u3PQVzrCvzap+ZeuHr6RbMC//AKPBPJc6baTdztQSEnuLizQ7VrmbxcTPBSr5RlznpCthYcHFynOxJCyRV4OviqA8tV1BORfPZL02ImjyLKMqFUiahTMJgcZO34EQYJqZyspS4I9X/0UTVvWYaxxMNd/nkQ4RPOaDXiOX2Lu4BlcdfVsad9G5/adiDYdpw88TtOajaSWgyj8AuH0MvFIgNJknMkfHsbodtI/fpD4TITxiXFapk+THJqnMJ/k7PDzKOJxcpEkqj4rUXceg9tN65t3knSlERFQHMgS3TfLAUEm+I1LhI/MEM+EyatlrB12guJT+C6OMmyFkXOHsVVVQVHGVmNGKQpkEnEWNBBb2Mpc2UqiNjOuDd1EZ/QccDZyfmk3L8anKLemeWowgCFYpKrOyPeK9VxZ48Jb1sj4dBcHpQ3M1FZw49rVBMaOoIvEuKKyGzFiwuiqYb9Gg1qzlUIcrhusp8MfZXYmQ1l0O+9SHMMe1ZMwm7jSkeRAnZl7F23s9zvIKMNcnx9EZUtRoSyxOJYgXsyTc9Ry3cQzeMb+ib8y29mu7CGSLuPztSaWFSXW6GBjfoCuvIlNs0dR+3Q0L88jdbaQH4vytuZGUgET9iUL/rEprOV2TNuqCLTXkbYVMJbbmZ07Tm/ATU3jNopHU1SVe6i0qHmT5jSR8Fm03QbqV7VhDMQ5fvorVFXfyJu6mnjz5npc5RBTVdCxNEY4MIix3IqQkpmfP4nRGCPS1E5LSwuhUAP6zBQvzo/jcrkwm82/dMn5ckhFspicTnbccyWzl4JEJ5eJpUWqb9yMo8pA1J8m8corKB0OxKo6tszOYS5YMG7ZjGgwMnlige61vaidFfS/fIr8TJye0gUuHXuJqYvD3NCsoanVxsqdK7mzphmjoZWYs8C5Z44i5fMYqmt5weDkCZ2Nf9jYyyaHhYDXSz6ff93+4xu8wW+TNwJp/paw2zaizNnptppJ5A7yXHglwdAJEmXluEx5ZoQM4aCGYuMKRqQLaEQL1zbXYZkUGJGU/ONQhln1Wu7JPceks5acVIGkMDJvbOJdShW+bDs6jZZHpQS2wEF2+IL4XbVI0ggRQc2U0olRgrP5CexilgM0USEo8JRyiMo6VCioYIl5qYJNhjz7ltNUphV0iuWc1UrsTTt4cXiC57sr+fzQea6vtTOQ1NIeWmRUV45VyrGQ9tJQ0cCq0BQ7KwXuj0h0m30oVBJu5ThfW3QQVZeTN3Tw4tQoeqOdW01GnpoWucI8gTcjkZedBOPHMTbczQcXStxUkDmrUuLIlYirq9ldfI63KO/ih/Yr0AYe56J2D22mKC+EwjQUxkgZ9HiVVj5UmOFQTIugMPPX1tOc070FpVJkdSmDvaqaU6k8kkGJLRJhcHCBto5OVOKvrkA1rVn/WroKWZbRW6woSkrS2hg+7wJVazqZH+jHnLJhbConsxDBmHlV2DVetRGLs4yzzz5Jy6aN+B69hKpCybrOW0AQaN6+ieCTo1gpwxUpw7DdTeqcD2Gnjt3SHjxTw9hNITq2bCD2RITZ5BkcTjed77+G8HeGme0/T/01NRx/+gIRZZYD56bZ46rDotChKqq5KgM5cixrklRLZpRljchJKCz0kLPkEctVHMnoaIrnecQbot1qIH7BS7fLRPVkmInQWa4sW0/uiSkuqWYIGydodK3lR2KQTckKfpCNs275GMdTWnSqam4sjvGk10hAE+atSiebqxMsDkfI5kI01+eZuniK75RGCTWsRwwn2BGZZCk9x2jVnbS4j7AtfhcPGocoFAp8tbiRtYpTVGdiFGQ7N44v4y1VcLhczyrDKArlAsO6P6IiHaG37HnuU99Ik3cAS7OL+HIrD9nClGnamEsW8Bg8OOUp/rpUQXvGjSkjYNAGEfSnsaXa+OGCmb/c0kIhGqYwFGXtFZuIT78aAkM170MpuAgHT1FwT7EpbKWs283SXIQZVZB4tg1HuIhRocGTP8vMfJ5dugTD8VZqA+vxqU08lA8y4xnimmoNz41k2LhaZl/ATbWcYefN2yhKMrMLC6yM+9C0dzDpDbK5YTvbamvRvE6B//6ddDyPfzZBy5pylr5+LzVl1aT8Kkr2KgSVCiVQ2WwlKzRS8PsZvZhAvxTAacogiwq0XZ2YYwILP3gKjeCi9ap2BixaItkS1ZKZTERA7SrnqafvZW3PHlxqGyVTI9lsgqZt3Tx+UsGiT8RRoyOSjTGT0bHVbqaxsfF1/Z9v8Aa/TS77qezv7+dv/uZv+NrXvkYw+NPxdeLxOO9617tet8b9LlMsZunRxFgwGPAUPWypcnL9uj/nBpcTdT7O5raP0ufey57gF+n3HMYXdJJMnuHHzWoMugDZcgOySuaSbSu+fD2GfBQLP0aeP8uFhWf4EgXOaQK0lDUiaB0Mm/XEi9VUlNqoMdaQlZSEpRKLopt5qQ5HMUSfEpIihMmxQh9jimrSogKHaKWBGU5ZG1mwzPOe8D9TK9sRJZFPjc1SY1UwUahhPpRk2L0JWSGyKJTzF24XlsgJzota/sYn4MotMhY3oY5UMhfto01Txgf0+zi5fA5B4ySUivN/hi6wxWAmLycYk41c4T+GPazErCySKeZ4KD3C3zdpMEtZ4jEPw5rr+CuzkoPJOPb2T/HHIS2fEM0YFRpsylP0OIxYKeDRd3DB0cG43sLp1JU8POvhKjnH0bwCt9HAzeU29k7MMFSA8vJytAoRxWXkMlOqVORmY2RTSWZePElL93rMop1UJEK9pgv5SIq0J4pcrySvzqCQFOjSOmJTHnyTkyzcf4YyZz39DzzNkmKG0nCKqNKHalpg5vApSjUCqdkwFCB0ZgaFRkn6wBKxiI9AYYHZmJrkKylSxhIY0oSyEUJDPtR1ZiqlBpKhOeoKRiq9Rm7skVienCG8vMCkYhG0ElFjGEuxRMFeQjLLhIrLtNWtoeODe9i9ex2bCj7EJj2SP0E+6aPkfw7P+GMsF/YRrCvyXWWR6a7n8dTkGVZ3YvYPcIVJSV3xedbb65G7W3jaJfL5uALXhIq3WgJ8SHGaxaVFgslKtHXPU9m1mrDlWp7WjLCy1MTHYt+mM5vk2aKec+YOvtpZR3XLreRWXmJdtUBFawu90iXQCMxorkAW9nDC2kSmoUiNKomQ6kKbew+R+Bxn9UmGwlW8Q+tivmBlJJvkx8Z5rl/wkRYWSAx8iYo5P82FSd6T0HNPyyYq65qYSdWTXqxifM4HdpmnJk4iiQpUDgv/cvIo3834AWjobKa9yUhd5wpqxCuJpiwIKgUOW4GbEdiSc5DYWMWL1atIqdZSDFrwDRuIVFVhr6lkfWUZX2ivoGHhOGbtGprNB/jkoIlQNI5g1HJo4RieXJ5DE1M0NjZyZNFLh20Mi8XyuitPAAqlQDZdQKlSkLDUo7NpqdnWiVjIsDgWea2c74tfIPiNb2B3F1AJEQpLyxx6aJzgDx8kvvcVguY26lu0qBU5yhaLlM8b0Jd6SfjiPLQcYcKuQGWKcdIIjy4FUalUjIyMcECtJGy186cdK/jyih7eVvVfF8X6Dd7g9eKynMhffvllbrjhBlpaWkgkEqTTaR555BF27twJgM/no7KyklKpdFmN+N/oACdJBWS5hEKhxeP5EXszDfQm1TwRDqDUpFDkK7jNWo4yd4gYWkKaOp6OBtilW8CsSVFyvJUL89/jYrGNNXkPVcoRLPJqnhNbWdFQh6L/Eg9JGm6xjzElVVBMVEBTDSO+SyRKblIqFU45j1mnRpMpMVVIsKw0o5Hy1CpyZCniJouosuLWlNhlTuBXraLL+385Hl7JcY2bemc5+ugi5bKHHxXX8gcISHofJaceUeWgKXCCnOsKZhUGWvJHeDFSizN6mKPKbv5v13YuLp4hr4qjd2xhKpmitTTFD2Pw/lyAU44KVhYu8oNUGy3FFMNKFWpJTac5xQuxRlTkuVkZ5hVVNW8zSGypa+R7I4/Tn9ZzjzXKclDNjGMj73RneDwQJRSeoVXpxu7SY/EM851EG1/ZsZ7nJvwMCPOstep5Z9NaXgzE6DPrKbvMHT5SukDyvA9jXzkFChx/7AFcoQoiS0tIDSraWjfQf24v+XSaq9/zYeJzfqKzS3g9k6z+g9s4/8wzFIYSlEvVlPIFdGVWfG4vxgkt7rf1oUor8R4ZJhWOEAstk5TjmOxOGvvWYN5Qi0qtRpVUMn5+AF2gRMTuQlzhos0uEN0/w4J3FIe2ClQC4nyJvHUcdbGBmeAS9vJK4ukxmnt2ILt0BM8PIOZEVBo16follpvW4Lw0xBiL9K3roVKnZ2w4gNKzwOlcDn/VJvzZJH1pLYFchF3RBOecc5jdMvjCVCauYKi9krBqiZGIljadmVWJOfpaHBwY1jCrmuFap5Y/zzSwKzJInT1I3XwXL7eUoS6EMCenKKmy3K/awHpi3JM7wROpSmoqGzgen0ZTstCaTXLGVkYIE02hadoKI/RlVVx07GJj7ATa2igLwQ2srtpO2jeGtK6HveEl7k4FGJBSjIU1tBRfxKXcSlb1BLmlXTgoZ6xsgmG1FSmRp1PViFFQMBI/ida1jUrxMfas/Rtmjh5DJ+tJqNOEExNsuuZusgNJLsZ8NOnLqFpTjeeZ84waz7Cg6yGVl9illijJMo2bdzB/7gmctkZS40ketc5wnWuZgNfFssZMZiTH6r4VdHU1cyZaYPTSRQo6E3tlFX9bYaSmpgaV6vXbjVYqSgQXkpQ3/GSePfrNH5NetZJdqytRKESWJqKU1ZlQqhVEn32W6KFjTLZuxDywn/abbsC0axeLo2GM6WVsq7t5+eQp/KE5bM1b0C9exJCwMzYziXfDGiylEFb/XsYFNxOaNq4QXEw2WUinUvz1ihb0b8R3el343yhDfxe4LAVq06ZN7Ny5k89//vPIssw//MM/8Fd/9Vc8+uij7Nmz5w0F6j/gD7xEIR+nUAhjsfaxf1zFM6klrrZBS2Yen+VahMCDKEtd7BcSrKRINlTiUkUV1ycyJBRnuWiswZftJS4UucNRy2JomL0U+dfqNJ9ayCKYetD5hzhtaGSTUsvRXILtYpaFYgGvxoU2I4K6hA8BKFGGGiVRAmipE9KsKa9gKC1xvXoMnbGJbiHEs1MOVltEjucDHC7a6FUaaBLzvCwU2VG0MKFb4iMta/nG2b34lBrubllNNJ9lMlNCExhgSkyzUGjCokkj5i20aHOEM8ewawxIQh0U1YwprVSooCY1wgGpgx5ljvlYiLDOQAMSTSqJpZSTA2oZJRlWZ6bp1i0yKWzlVkWeP5VU7FoUWadKsrCmg+/Oevm6cYFFYTVfSXq42qHg7bEKvm3L85GWOsxygEtZM2sthp/KJn85FINpspNRBI2S4bHDGMY1eHTTuC2t6LVGzNtqiJ5eoOaaVUwfPoVBa0E1BJP5fhILAVxbmsiOxmmwdVCqV3Lq/NM06FZQCKYo1UEgvoBap8OkduDuaye+6KOjfSvFRBaFUY2cLFE0FLF0VXH2m4/SWLkK2SJQCGWRRhOgFClQJBuPIdUJ1KztY+7IORJOmYJ8AMlrplRWS6OrHXtvPeGjMzh3tDI/9CDJQg0mQUUo4iUuzPOcuIE94nlsQh0xZ4r7AiJvi0QIGuLE8z3sLzPTmZrgBuVZPP5reanKTJ3dQSDh4+7Wema8p3k+4eYTWYHp7Cz97lVE0gl6F+BQWZx3Kg4TSgR5xHQn6riZG5ROZhWHmZRa+Fj5jxkNX88zksSiQYFVTrBBa2A+NkpckrCIam5IPMXp4u2sihbRFVo4qTyNsvkK0lGBW1zLDE5GWN0UIyQaKajqqIz5yOmCROJZatauQ32ujEeUWeademQhSSSpYI1+Bo2xjuDiCDvX3YFRlmiOFdDX2qEgEU4dJZD0M55Yx/U1bgZ8Ifb759mZClHd0cXooXvp3HwdCwc8xOssRKfnufF978LnW0IoFIgEg2TFDF8Kq1ljM9BjteAUoKu2Gl88ydETx5lPBFjd0cemtho8oePUlb++AQplSSYRyWJ26Mhms8zNzaF8ZT/F3TdiURqpaLRw8vsPU5eOUfG+97L4h3+EsqwMJAnvlbtwWFoRRRGdSUU2VSDiTWFvCPPsyQDmaIlA5wBGnY0r7DkeS61lV15JMpvj21kNLUYVWqedN7sdGBUilstI8P0Gv5j/rTL0fzqXpf4PDQ29tkQnCAKf/OQn+da3vsXtt9/Os88++1tp4O8yA3MejNJW7gts4tnxU8TLy3i7rpkO+SD7jVfhN6tp67wZq7GJ8upeyqpW0GQrMRHX8rwlRrrYSq+wyI32IgqFilMhD0GrzG3GNAvKOq5zbcCgNaLUm+nVxDmaSZIT1bxcsiIpKymVYkypZcoMGiqLszRqjZBKsiBZ0WZV+GULWu8EH7eOcjhl4XjKSHYxSJUQ576EhyFZRateSXOVncGijJgWsKdTqIt+9Olj3FXdwm2OIk7/36GVwoQWD6HXFqg1OinXZSmV4mhlCVs2Sau1B92ygmjaTX9SwCmCnIkzrqrDoIqSV4W4yTJNtSKFRjNLh5SmoFHQi5cPqCUcJj2nCtt5b22ah8R57ipXMlCjobZO5MDCCFdpc3y61MxgcpQ9ilmWYjEuGMNoJIn5+ByC4KA/kUYQBEZGRi6rH7NjYYqRDOmxCMkTy0i5Ek1r1mPvqWfrW99F63VbMBYsCCcy2HVuQmPzmG1lLMUmcb2tC0EhsGL3LhxyJTlnnkQyyuDRV1h3610knQrGU+cIJjzUdK+g96rr0FSYaFm7kc7WrQiCSNqRJidkUTl16LQmfP0TmEImFFo1uckIyeEl4okIcVUMjUqL0q6jaIKjz/6QbDiGZ/Qs0lgHybiRmbTAyPm9jBw8hK/wCkOP7yMWq0UpXUI3pyCkOMd4sZIbpkIEPQ5mB/axvHiQRoVIonMPL6l3kWwws0dxnqSmjrCwm1MKBS3JJN6FQcyeJZ4an6BqXuSPHD6W7NUs6QLIYpFNOQfRZi2LWhOjaYELyi6a03k2afqZ0p3BqFYiWYrss3+UZ3VlLGUUXJteoEieYxETy8k2NPE6QnELZ8XNiHNhtOVTBOyv0JLwwcBJ/KZFkqUZRlxJHhc7+Nd8Nfv9A3xVOcWLYTii9vPtkwq+LCepVCzRnjrKWyZmcAhGJrw+okOX8IhmfrB/P/LMFKETk1w4dZxwboYHh3VYlBXU+E8yMXSKxwLD3JyOY5fKSfoDtO28mcc9OlKli0iX4khFPZFCkWdPLjI2NcejhSACk6wzebitbJwyhYCqmKfgS/En/QvMiSq0FTGeXIqRKal5ONVDKF98XeckQRQwO16NYK5SqVlQ2rl03U0c1atxmAvkcjkMnjl0/5bmwvXhDyFo1JSiUZwPPUT86JMMzp0nmvFiLFNQ1WpjeSlFMq0lHllkZ6GZSGE1Mc0K7HorXStXsNzQQmO1k82N1XyywU2VVv2G8vQG/yu4LAVKo9EQjUZ/6tjdd9/Nvffey5ve9CaefPLJ17Ntv/Moa28gpRnjZs00Bdt1bDFESNmVPCdcQXX6eZpmv8LewxfJmS0Y0iGWI6cZk2dZUkmsSlTRXDDhNK7lz0I6msxGrMowp6OVpC1rSOftjGu1jPmi5FRNhIsmenUJrlMUsCt8zJQK5EsqbIUkS6kl4kI1DjFGzmTgCoWGnFbFx9VHkYhxclFNXt3AQjDNX5RcxKrKuSa7wLuir7BWMUAxeYmBUo4vaWOUdVhwaO2cCOg4HFjGPzPAA9mr6PQ70OrWUlJ3cUfDBowqJQ3KJH0IzBocXJArSDfU4jOIbLAVabQ4iJHGpJK4saqaDdlqLqQMLCV1xMMtjGlrsOcvslYr8aSkYLKoY119BcvaNjrtbZiUdt7NtxlMD2GRXRR1BjTkkZ0WdLbV3CxVsqe7mz/racEcmWTw9EWuFQuUSqXLdlRVN1hQmDQYel3oV7kwrHJhrXZjrHGhdZvIajJY39yM9cZmNG02Up4QCqWKns1XsXzveXQZA3qVlZyQxTCnRrXVBlUaDnzvmzjrLXTWbsKktCNNpDHZXSQCfkqlEvoeF7JUYvnpS+QHoswfvUiosEz03DwKt45iMIMQktGktOg1RsRaFWGll3htHMWyhMFtR+pW4a5eycXmOtRFDSrnYRxXCJxsqkVZUUXx6m3kYwWycykerprgbKGPdZMmCq7HOdFmYe/aLRzS3UEq38wj8SxtpUvULVshXYspt8z9ohPJbMamKnIdR9hc1UpXOMeYQ89FTyuXxsdIF9azU3OcsDGBP51gl7aIObaL7pKK46KbtkwzCW0l1dV7mE4bODk6Qnfo6xSseZzxICuEMj6svojbkKJLfRilrEAubqXP3U5stJWzYQdD1ZtwpuMUBCP6YhVtE4u8FwddvhhmjQpPpoOOyjFcci0GS4kbjVliyTyZcJpvVjnYmSvQFrXziquN1eocOnuJD/skHjTk0SYzeKa/zwrFBN6xUXKZFCON3birulkqLVKxtYNINsX3Z/T0DqdZfdMnWbV6DW3tTi4FI2zoayKU2UdDdglppJlNyihu9y10VFdht9s5Hwjwt6vquG7FahqarsVcoeClSJJPNVTgUP/mikY4HGZ+fh6ATCaDVHo1fEfq8GFWKDVc5V9k9/EDnHvmIFMTE8xu2EQmGSXy8I9YfuhJip4lFoqVCEYz9St7aAvuJz4lko1KjBwZw3M0gUML9qKR9q7dfLSvkxHacY1OoJBl7qyw89mWaq5wvH47CN/g9we/38/73/9+amtr0Wg0VFRUcPXVV3PixAkAvvWtb7Fjxw7MZjOCIPyMjgJw4403Ultbi1arxe12c88997C0tPQbt+2yns7e3l4OHDjwM8Hc7rrrLiRJ4u1vf/tv3KD/TWwvczEzM0RleQPPL57ks8smdrirScoC1zSvZ7T/IHK6QGD0/zCjuBPJ4eat1ibCkoIBdSVHwj7Gw0paxEn22Mv550iSmzQn+K63l6vT+6i2NlMSrQwXEkQFKzpZiUqlwlkKsd6g5EJaQ0qlpSzvw0yB0bgTlTLGJYVEcylNs6rAffkOPuOs4dCSn6gyzU5pmoteJ++2beZenYHrrAoceSXXms6wV8izYkpFrT7NxpZ6zp1eYmPjOnbbdUwHziL5g3hUG7EoFYSzIq05F0/Iy2iiGtIaDWZNCX+xwEVVGTtUKnYKWV6intqZZ9kpj3Cv9h6KkoK0XOICGdzJRl5GRKsPY8upGc5KiIUpNEuj/KjUwftr38HXfSIt8QkMFiXbg1rKvdMcM63gRUWRK8Vmnr80ypXtO5GUabL6Vy2nGo3msvrx3/OoKZRq9CvKkJIFpHQRZYOeicPH0OfNDAX2MXPxDI3aXmKJAC0bNmB1lzPnHULXYMMjzmA22JisCKIZXsZUsrDu+o9xYfwl1t9wG6HpOYrqIkq/wOb1dzKx9zDV1nZSmjiOymoyixFUopL8s360CSWGLhcKnYqckENdpiHYGaamu4fzLz6HLm7A5m5mauwiGU+KKn0LtWU1dG+7jg7FLgoVx5i9MAmhQaazJa4vxpi3C2wOBYkHV1NeliGhLmLxp1muaOeDwgG+Xezi/f0e6jZu41PRBLcJBlrcm6gdeo7zxnbS5TmOe1fx16s28fDAn1FTfguTg3PorDG216TJVr4fUhOE5AjdgUE6sw30VyjpUMSpM8aoCxmYMQ6xPh2iwymzKN2BLudhQGNFkbzI/co63po8TL/Yx/bkMiH9EmGfCm21lbd2rUArq3jaUcZdjQ1YMkvU6Z7k5cRD5BveRF3dDtqnHkedu5UzSok3WSz4KupZefY4Ytsd9GpGsM+9RM+6KhLzRh7U1tGeTbFbeoVYIcif0UuFvxW/WEtfxM8W5xAuEdyZGAPmWvQSqFq7uCaepL69jSNSCWN2ErecZenUPA06FXXlNWhEPzWrNmIybqFUKiGKIkfSEqeDXm5OXiRsWkdvUyUmrYOKfObXXmr+j9jt9tfin83Pz6POOdDoFGiq28jE0ngHwtS5tJi27cLqUOPY93XmwtOoLRvQdWzEYc2hPb+Mp+gmHjFRu/VuZg/nyGaCaMrP0uzuQWlxY1nXTckcR6N0oRQErt+z53X7D2/wPwNJklmeiJKK5zCYNbhbrIiXsZv51+G2226jUChw//3309jYiM/nY9++fYTDYQDS6TR79uxhz549/Omf/unPrWPnzp185jOfwe124/F4+MQnPsHtt9/O8ePHf6O2XZYP1JNPPsnhw4f50pe+9HN/f+ihh/jWt77FgQMHLqsR/1vXb9PpWZKpMbxFC4HUMqfDDdhED4flJt4vaEjMfhOvLs7Gym1MRgzol0scr8hzY26Gf811sLmyipGcAlwm1khH+Xasm6rcKGFtF9dLr3CudCUjJR9XlDnwxgrUscBYNoJHqEaHxKJsZnd+gTPadoyyl8WciXVOid7CII/n6qhT1ZLLz/CBcgOxmI9/yXZxrekkFwt1rLRZqdNW0+A7ztfjVTTZVLjSGSpKR3lUdSUNpgIalRN76gT2kIp/0NRyszWBKhUkmxY5p62hm1k0ogKfUmB7/XWUaTT80+hFtIoSerEaVWmeiKDCkFrAau+kT6Ph2eUcSu0sjqQHRb6KOb2D5aIXt1KkR2MiHY9RZ+1iJpGjTCwSEec5WjJwS2MnjYks4r7D5K/awgX/Ea439TJnS1Jh68E5OkT75u2vS79K/+bjN/7oYcS5PPFokIIyT2VHO1KiSFQIIvvydH/0RqaHzhCYn2Nx5BKlXBG91cLaG2+nkE6jKCkxiw40NjOZgSAZSwpD0oigEvFNTaEt6lkIjGAXy1E6NeRzOUqlIk5DNYVMFuUqI3rZxPj4aTRqHUvZKVQ6LV3bdnLhmeewZcopptLIDSos/mp6PrmLC3ufYbSzC3v4Eo8kRPwqEzlZSWNkjLszsyybHZSpruNHjFEVKCDXJhGzOqqiAfZUrGF/RmRIWMAR07Cns8iDISNL4QRWnYFm9XneqX8HyeoCBxYu4ckUOIAWp6WGP4x+jccSV6KNDGBUQ0VNJb0FJ87lTiI9T/PMqIWIppF0YZGIphaLcIm4pooq6lAFFhHsetzJBziWvZJmEqw3FVjbeQ++l/rRbs6QDClptK/j+wRYlwygEvOksqOs3voBvFPjWKpqueD149Tp6K6tBl61zOj1elLpNMFAAFdIjbLVQDD2PMlYD+OxOGfHh9lsf5ZnVbvYnZtB0fFxuhoqsJSUFI7OkNpWx4nlk7yjdSeCoCC/mGAuvoRV4UMdqGbZkaeuro544jwu10YGBwdxOBzsP3iQlKhgZX0dczYHvXolqUiBR/1eNhnnqHfvYEV97esyXv+d2NNPo7v6OpLhLEarhvnnZ2i+vZVMMk8ynAMRrC4tuUsXSR85SrZjPeqZS5BNo+/qRt3aSv/58wy2rufuOhfLU1GaVpX91DXi8UsYDK0oFNrXte1v8Iv5r5ChUxf8HPnRBKlo7rVjBquGrXe1/Mw4eL2IRqPYbDYOHjzI9u2/eP4+ePAgO3fuJBKJ/NJ0R8888ww333wzuVzuN9qk8UYql/8CMiWJZd9LlJvX8sSlOIsOiahnhI/bKvh2ssCtvMTeZCU5k4bTBSMfKo9SpTGQT3TxWGQfe+lhEzFaVCbSCiXO3AI/lCrxCXpMJHALfmxyDpvcy5Q2hzPqwW9xMZcroS8mSaoqSJfyFAQdvYpFArJAvqTlj6oLvBhTsLJ4ir6cDW/LW/AET/DjSIGtQoT3rNzAzPgD/Fj/JvpDPh5cVc3Y4ix/EnDwl/ozxNzbKWXmeMaX4h1N7YzOBhnMKlmTUeHX6UlqJ4nqK9iYr2HQAkPBKC5xAod5BWOJEnmVSLmyyEQwx1aDkX15Hzdr3VwoekmXtDQnCqh0PmKiCknW4yuqWFmaZyZvY8js4sYyHZPRIleJZzkuNTKRNXOtVqRbPcuBqIvVsefYvvlj2GxKlAobCqWKVLFEoFCkXnd5Vqh/J5tMcuyr36MolnD7q9A6TWTWyWhVBmpW9qAzW0guBwm9OM6SYZaWno2cPfA06WScLWvvoGAuUtHcysTQKdo3bmX+OycwX9XAuW88Qo29A0EE2a2irK6J1Fk/Sa8fU5mTuCFGeHGBuuaVxCa9ZAsJyja24ClNISxI5LRZbGkHqXQEW3kVU3PnqFd04g/NQ5+GTdfdTTEdJ6YawuncQjx5mm8sWtlpl/javI+KmIZO7SjJlJ4bDSv4oi9KhTVBXb0ZxXg/nZluZmOnmM7UUOeq5mRdkqxPoss2QixdyVjWzic9Kc52FCg4uojnk8R8F+j21rL16lWc9D5Mdr6EQVaRXHbQua6DYb2fLUINJ+J5TpVmiWbyqHUhDrCZ60sh1ENTZDZ081ZFgeDRM2hsKcYNKgyTLprWnKPa/U5S59KolRZqtnYSlYIE52fRGU1Ud3Tzj2f76dBr2VFdgaWs/LU+HElm6DDqXvteDGdR2n8i8IvFJEqlEVmWmTp3mqbVa3jXwfNc4/sa3zffw5JOoDKV4o/yArMmA0ddLr7QXo9iYpBYXs1Awkf57Bg9K95Ef2aS6qpqZtQ5ps5P0esu8oNZmR6DlqbuHgIKDbeWWTh16hRNTU38yegsK+wmzksafrCy6Vcak/H4AJmMkkIhzo8DEu9ftfGnx2yqQDyYoazOzNgpLyaHlnggQ/tG90+VW3rkx0TDOSyVVgykGH30GLabroejLyC3r0ZDnlnTCmRBoHtzFY5qDQrFr/ccvcHry29bhk5d8PPiNwf/09/3vL/7t6JEFYtFbDYb73nPe/jiF7/4C1cPflUFKhwO88EPfhCPx8PRo0d/o/Zd9h7SRx99lLe85S3ceeedfOtb3/qNLv77gk4hUqZbz8i8n5aOMjpCC2x0pSi6w1ypfJGMbpq3OrdSXdnJTluGkaKVAbGBcDaLXbyaj+Z1NBayFDQmnsupmZRbeZtmgOswICBzTmrhBE08JIvUqQIYdMtcHbqPjtwyFmUSVT5JFi32ksi0bCaPmT2GPFttejam0yTkesJqM83+z3FLeTu1Oj3v03bz7IkUj2drmAtd4A7FXu4//yIOrYEd+gCLhTw/HC9yNuanrXIT6+1O1llDjBYVzFU76RAHyTvWU6VW8rJyienACQSVihts1eTDwxiTixTjc8ynoiTI0VdmpseoRZO+QCmuZCYPdzcNsN69glIxj4ciVWKcVR3ryZndmEUt4egkeuUyr4jrWF3ZzNuXPTTkkuiqV3Fna47aHZ+kMJ7kKe8SCuWrbxmjY6P8JgZnlVZL2boWqs2tqF0GGt67lZbKtdSWdaG3WCkspZCGU/iiM7Q3b0Yb09LRu5lr3v9xLA2V2E3VFENZmtdsoJQuotWaiB2ZQ3RqMVTa0dusGEQr0WMzFOUsWr0Z2a2kkEpjbaokoYoiWERKdQKqOjOWghN9tY2GTasRKtTkKosMzz+Nu+hCyIJjUzO9G6+hlMoTzUcR85Us7r1IPh/iz1auIKSpw6Rw4TCUOKntZb+o5UTuUWKVVkqaFMeWdbxQ0c2nyl0sm3di62inonGZMXU9tZoYHulqZrJN/Hm5yNHuEV7W2plIh1mlDrJK76DVfpQLU1/h5IiL2XQbY6YxrGVOtJN6soZmvjJ5niPxBFMpNWbVBO7kEjUpL/Fckmn3ShQLcZ49d4qnmmooaOdxR+fo7UjhUL6NYP88c5osI71uLsxPk03Ead+0jYZVaxDUGj65cQ2rOtpfU57Gx8dJp9MU/+2d8eLZ82QzWUqx3E/1sVJpBF5d7m1esx5BUPDV9nZuu+Xb/KVJxXX5PDXhAPOmRR7JZpHnxvjMwACe8GmeLUZw2Y1EylooNGQp5Y6AP8dGRx1Wo4EpjZXrGmpx1DciT4xye4UNhUKBXq8nndlPW+5ljsf8rDDpf+UxaTC0YjS6OH/ph6j8P2BycvK13+YGQ5SKEmbnqwpj85oyKputuOpMP1NP5Z3XUdHqgkyGYiJO67UrqajSUkqmSPpicPEY7iYbde0ObJUQi529vIfnDX4nkSSZIz+a+IVljj4ygSS9/rYYpVLJ9773Pe6//36sViubN2/mM5/5DJcuXbrsuj796U9jMBhwOBzMz8/z9NNP/8btuywL1Le+9S0+8IEP0NLSglarZXBwkE996lN84Qtf+I0a8b/dAvX/s+h5lPnZw5w0f5KEFt6lO83nxiUEZx9XeqYY12fJONy8y2nhc/1hPt+xwEPLDmy2Nq4yLfHg2HkGNa1cyhroVMRIiHbGsgU65SAKjZpoKU+ccrYXnuGUuAlZkrAWlGQVUSq0BoqU6CscYl37WzHGD/FY1IbBvoGy5cdIK6pI5dvJaDOsTzqxtId5JKghJThoEiLcWhri79Ot7FAk2FfUcIf5IF9NXMluFxyLK1iX03GVq4p4mZbDS5c4ElViEkpsNDpxZ/sZxYAzX8GYaoGSwkhD9hB22yaOeNRsrxcxJUv0VoqcTjTwL5553mNSszdlYINyhh+XqqhCRyf7Qe+gY7mOkzVudHEf09kgf1DZSKnMjXdoibxvgIt17ezWKTBNLhDeuYU9zlcDEuZyudfeYubn56mt/fWWSYr5PMkTXnKDIco+0IugEEgPBNC125k8eAJRp0Ab1WMy2xG1SgxrK0hf9JO+6EezysHAib0Y3WUkzi1RoazD2FmGUlKRkMNI3hyhuAet3oxoV1G/ZR1Tzx3Fua2NucOnWfnmG0imIgw+8xKapJaEMUpL5RqOnH6YDtU6lIKEJEDSlWf1puuY00UwhtJYmitJRsPI6Txj03NEd1zB8ZkgbzGUOL4colZrJemNkDd6uHvzZiYvlfjrwAx/qDjJc9YbaVXp6I+dYmXWzDXXXc0LR3/MoFbLjjmRnOTAZw4xZ46j88ucMdVTqVvgalWBS4V+1PEQFjpZXThCreePmbfFCVqPMiSvJ2So4P1tAudPPoFQeQNfjmSoE7NsmvUTbNLRpxjjzIKEU2UiF3GxPqLG3Gin9spepk98E1nZR/u2zVgsFibPnqJ21WpeDCWp986zYsUKpqensdvtmE0mMok4BquNZDLJ3MVJ0iqJVWtXofwlfhyPD3jYJMdRpBQY1jYhZTMs55MYCjmOhSeQIxbqlR6Q3RwRNDQsTNHcnKNYbKOurg6n00kyOYYslzifraRpyccxq8weZy2eYBA5e4wfL9XyjaJItSrMV1btoNdi+NXnlcUxnl0+gke7ltsVF4kF6tm0adMvXZ4YPblM+wY3Sw8/jamnA53bCaJI+Ic/ROkqI/LAA+j6+nB++s9Q697YOfc/ld+mDPWMRXjqSxd+abmb/3AVVW221/Xa/042m+XIkSOcOHGCF198kdOnT/Od73yHd7zjHa+V+WUWqGAwSDgcZm5ujs997nNYLBaee+6538hP77IUqJ6eHm6++Wb++q//GoDvfe97fOQjHyGRSPzaDYDfLwXqsYUJRhMRbp9OolyVoLHyRl7yhND5EkwIxzCbq4gly3DlIrxSKHJr7Af0W+7gHbZ2/mHuftpN3fi0Gb4Ra2C9IsVwyYxLFWNZsiIhU56doiInINolLuYbkSSBXsUZKoolRtXVmJQy6ZKBu6JPUjCvRC3oSFi0vJi2sFav4gZdHil2jvOmrYyF5mguXaJRsYHnNFauz03yQ10PV8gHiNOHzVVFp9LLkmYzWs9h1lZ1c376MyQVb2FR0cMLhTT/2GjHzCU+cd6GR5OkyaQmXlTRkgsQ1NXxruIC90tWJrMhjKpKZkQNvSSolwSiZi17/WncpKlVSUQFkTvTc/yDeS17zGFMwcOoRCPV7ht45dI426N+WmrbWVTnqKzuZjwyT2MpR4umGnt7BaL+p4VJOBx+zbn21yF5bpnsWATThkrEGpnlg/uoueI2jn7rPlo3bSV+ZAFXUz2SSkbIgcKiISJ4UYyXSHljWB3l0KQmdn4RV0s9+UCaocIJzCU7Rq0DFLBQGqOqrR2lWo06pCF0YRqhT0f3jis58vD9iEoViiDE/H7kcpGqxRqMreUIrVosRRvlu7uQJInMhQCG1eXMD11CnVRzaDxKfaeNT8UzKHJh7JjpLiqxJzO4G9I85vexXhIZzLu4yngv95f+gN1YaVSe5Nptd1AYyTKae4x4eJlH2YTPYOGvYkv8i8VBiQRby7qZjcX5Q0c1p08c4WFLmpsKC8xkerlen+eBCh9rTRKPRNTE8hbKcwW6k8c4r+vDKdm5pItSPqtge/kZDui24EsY6bEss3k0QixTpEzpYsRi4p3X72TkyFFqV3WQioaoW7EKtfZVa4skSYiiyFj/Fwkt1dPUvgYpL+FuawVgcnKSA1PP0Fx7HdvbWhgYGGDlypU/t6+PPLyXDbft+E8Vklw6RTBylqqqn/hpLC0/gUG/FllWMXb+G1garuHYaJhQVSNXhKcIl8UJpSo4VrQyng0TLZgwa2RudUbYXLuVlb/ACpWORdFbrAA8/4NP465ppm5FD3b7BkKhk7zyylM4XZvZumUHavXPWpv+I7FAhuLAOcRYADmXQ84XUNdUI9rt6Do6ENXqX1rHG/z38duUoeNnvOy9d/iXltv97k5a11a8rtf+z3jPe97D3r17mZube+3Y5fhALS4uUlNTw/Hjx9m4ceMvLPuLuKwlvOnpad75zne+9v2ee+4hl8vh9Xp/7Qb8vnFDZQPvq63CtUlNULeV2dBZSt4jOFvLuV5o5ZkFkauMeVqkJG/VTVBWt5G0o4K/9TzBDq2J7xZVjEYM3MMSgbwWq5gjk80SR0KSJPIYOGxqxSPb6SrO0JnPEC2WoRW9JPM6wgUNFlnBUcv1jAsmHhBXcyph52OWc1xd08upRRdl6l3MBAcRxD7K3LvICH6mcWDveQd3a2XOBK+mw1BPb/AwF6ZNpCSZpL6bH2aNPK35GFPOtSyRRkwt8/TCAt+YaOA9fXWodJUcTxjRF7X4jU2QXeaZfByvqKdXNjNeyhAt5JGKMt5kmJlEgDJVGJVWxRwyG52VHFbU867JE2QLGZrlTpzm3Sg9C1zn0JFsX0tYSJGrridx6jyNpRwdHR04+2p+RnkCfm3lSZJlZFlmXhPG21YkH8qQ2h/FmO7B+/QAnfZNmDR2TIKNUr5EOOyhlMgTv7RI4ZUokUSApdA4iXSIVDSKfqUToU7LrDzM5rvvoWAqkk3GyRQStPSsI74YwDM2Qs6Ro2QpkU7E2f+1bzJ1/gxzF88z5TlPphRHtQBCtQa/KkAkG6Xsyk5CsTj7vvsVaFLjGRtBs6RkSlfiUkOE84E43WoN1UU/lYY5JIOKVFclU+EczQ2b8ZVVY7RFEOLv5ZYKO9eYzhM0Slw4+RhLE6NMOW5l1tDNdY4wNyYTHBPbWMwtsiZ9khWlAA3M8NXRczhmRaq1EmkXrHPm+WYhyj11avamN3OjHCeEFYtg4sv22xhUuijZZe5OPkrQbMZUbGWt/BhVqVn0YyXaTX1kHXrq3S7qawwEVCo8pVeYHeznQN7A0bEwpViOcPgYuYkIpWSetpV/wlT7VoqFAhcOnia5GCL89CS2mIZt8a28MjrNfecuYWppe62PU+d9r30+E4riaLNTLP7nMZk0esNPKU8AgiCiUkkkEi+jMJtYmNxHxrcf+/QYrWt30lDYwLPLBW6Rn6BHUPDp5gpe3LqWP+i6+hcqTwDBhXlKxSJDh/ahUa9EtVTH3PcXiPl9hI8kmTBtJZc9QjA4QigUeu08uVCg4PFQjEQoJVNIuRyJgwexuHSYu1uREgnMV16JaDSg7erCsHLlG8rT7zkG86/m5/arlns96OzsJJVK/drn/7vdKJfL/ZKSv5jLsslmMhmMRuNr3xUKBRqNhnQ6/Rs14vcJjUJJmbGKYtFKtfdJrI7dpGvaeLB/iE+t7OCPl59nNnOaUcs2nvdL3JEc423lCwSqriHrruZqz2mm8ybuixbpU8NyMUylthyfVEBXimJXgCgu0FaaQS8XOGQoo7FQ4pi8hYhkIycV2aCIY5cK9HXtwjr5IDZRSa5YInTuARJk+LOgmfd070BWOuhQJJmOxNmiXCZwboYDsody+0qOpHNsim4gJIlcXDxLnb2LSqWSgKeEJhdFp9JwVXyIR4or0MoiV8RnKdM20qAGt/cSe/OdVGgcqG01pBJpFh0VNMXm+YjOyPdSEte76nmw6GWjKkU8buSwrKSImvOlLOtNEWweO0+KdnLhAWor2jAlI9zVXk6xaCF3/iwLxfO0Cdt+6ZvIr8IF70nKDDU41WpOBCYoFYpUWJqpb6jHYDAgyzKpeBKFr0D69DjFcJHUKS/xWBxDtog6KVCqyhOKLaHNaMk0pNEu6xnznsEp1mI3VBCNeikra2Ds3r1Y28o5celxVmy9GhaL6GbV5Asys9kLtPRuoLSYwm53Utu5kuJgnFg+gLrZQu50CDldZMHp4Jr1a0iUJE6Nh+jZ0kImFUCSJQ5UGXksmuadxQwf14A56+U6IYslPcNqXR/upMyFyibiqRKKbJ7BUCWu+r3sjd9GbaGZaCzIgnmRqqKF1Z5BfNknCJtvI2EYpy2r4gZRgbdYxuHJEs2dK1npe5x42yRu/e006Nsopae5XrnE/kEr5sRFDrn0tIUX8Jdr2bBU5JLBwJrcy2hFBZVGNS+T55L6bWxpqWJy2ctcfC9qxWbsbQ0YTh/hpeJZLMqbCAYXacdLU0Ek5VaTiigYL1OzTv9qCIqF8xNEC3m05QbEkoLTBtCGU2y+sYeV43MElQUOek6RLbjo7OzE0Peq31TUt0T6rAdxehbdqtW/aJj8DO6Km1lYWMDpvAONJkHRO0irI0vAZsOg19Kysp4HV9YDu9l1mWOypqOb5akxurbvwjI6hHJB5sLARczzNSRrbOwuvYTfX8Lp7P2p+VkulSglk4ilErmFAlJ0Aux2MqNj5EaGKUUipC/2Y7v11sts0Rv8b8XdYsVg1fzU7rv/iNH2akiD15tQKMQdd9zBu971LlasWIHJZOLs2bP83d/9HTfddBMAXq8Xr9f7mu/fwMAAJpOJ2tpa7HY7p0+f5vTp02zZsgWbzcb09DT/5//8H5qamn4j6xNc5hKeKIr8zd/8zU8pUZ/+9Kf55Cc/idPpfO3YRz/60ctqxO/TEt6/k8+H+NbEOa5wWnkmoqTmwn70FdcRqQbkJBfmp7lnxZU8H06zsvAi4UCAZ3Qb2SgHeDhVQVqpQC6p0ZNCVuSpFAoEZTU1sheLkGattopHUiUKJQFUDqJCic5EgjJTBLvKzWzORK1WxdXWGJ8Nm7kjNE61KsBf6lfzpZ52srGjPLIU4/3lGh6MKmkXU7QnzvJi4U0UbQ7SOhV3efwUnS4eL4XwijoatAo2CQP0R3twyVMcKbhIarWskWRWm4I8mrdRLcEdlW7+cGiGqx0LLKc1eNQt9ATP87K+gbUMEEr0krKXcKqU7E8qaDGayBfCtKYm0QZMRGqtNMnzXJEKENd1cGkxwhqDHaWmxLijkq0mDa8kU/Tl8zicEzj1d6A3lwjNT1Pf+6sJwUDgZfbmurjZDm+/cIGJYjl/3FxPdeoZFN5GKivjNDe/+gAXi0U8Hg91dXWvnZ/zJrl470EaaupJqCKUTDLyiQQ5fR5jZxnRkA9r2o6QEFDvcLE43I/GaaZl1xaOf/MZHNVmbCE76eY8X9ZY6I55WRH3UioU0PjU+EMzyBqBss5mbM5KFOfyqEU91o21eFv1mMJ+4sFZhitkNpbVEznvxWhQ8mDgDLa6t7CrwsdUXM3egIYVNi0tIzMoOto5unyGewr1KE120rkwSf9RChUzHFOtYSxaSXtGYEV5hpFIBUbrRSYiBq4qP8Jn0lfTmIiwLpjm8UoTvepy9ugmUZxdotTUh5xcxtJgYXbsHBG9i4JhN1MWgWy6n4WIwBZzngMFBx2RGdqjKqYcYWJGHQvKHnYHTpFXVlMzFqbeXE7OlaeMWkYi+2nY0sbLUy7edvUWnjx/mKQ+w1urBazmqxla8lMtFLFWuMn0h5gphiBZon5jM9MXx/lBKM97KvoJjDcw2j6Go9hLu0pN58q1DL30MqJZxbGDB7jCfRVVt/Ziqrz8hLeZTAaNRkM+nycQeA6NZhtHp2fZ1tKE0+G47PpeG1/TMZJyDFktM9t/ntD5GTa/4x6yQpqC8hxW606Ghv6OYLCMnp47qaqq+rn1yMUik+cDNK8pRxBFsuPjSLEYulWrEJRv+Dz9rvC/dRdeLpfjs5/9LC+//DJTU1MUCgVqamq44447+MxnPoNOp+Ozn/0sn/vc537m3Pvuu493vOMdDAwM8LGPfYz+/n5SqRRut5s9e/bw53/+5//pc/GrclkKVH19/S91uBIEgenp6ctqxO+jAgXw/NIkTYmHiCe6mEkc5vHSLaTVed5lqqdq6WUO22vZ3ryZbw4PUNAqeWuFmtiCiv2lQQJKJ/15FzlkBJQ45SB2QsyVnCiUSjYxxWyigp32OUYjTdQZjjAnbmGlfIrljJ4rcsMkLeWErCuxqqvZF4+hz+nRGsrZFB2k1nqc00EjD+mvYIcgkDUkWVPew+npw1SlnMQrGxlZ9uHT2jBoZDYpxtjQuJO9gQBbjU7CSylm7AJVWjXHY1nOxZK8ueTnmMLCW00evhZvJkcWsZSjCj85wUREYeYW+SgvyH1EBD0VGKgyyviyEtdbF5HiozDbiDqrYb9F5npDJU1WNcmyGH3GHhSKIiWTGVmWUYsiqn9zDB4/48VWAc7qcgRBYOjQPhpWbSW4kKC262eF2IFQnKPRBMfDCex5P4VSmNvrmgnN+9hRNYOQ70UQoK1tzS/t47wvReLAAkKZGkOjA0kLIz94GZ3KRLgywKotN3DigR+yavP1+A4OE26OkJtOUbIXqGroJDHhZS40SDSSY/PKKxmcPYjGYOSq936El775Za776CdYHB5CeDlNvrpEw+71qMr0CILA8e9+g5qmGg4FatllNzFXrefJSIyL6Qxfra9mOprkR4thOuIp3DY7t66o5pOLy7xbmyaa0nBxPs41NpmMycqP4zP09a5l08kI55QZcsqTHCgIuKoa6FS6eMQXxZxc5jbVfaQMmynEL5IXV+COGxgL2Eg1BvFV7ECaXUbUGvGVu0iEl2nNHkJUuCh3r0RYkBAyT7OvYje+jBpnMc720CUUyhXMhH1cpcyzaf2dnDnyAJXr2lkoupgdPk1Hazd11VUwVMC70cpMSYdrcYrJvJkP7uzh0eFx2hRQ5qpm/0NPUl6to7aqjKWpA5xTaWnRruchh50r02FqLkxTu6aJxWP9VPV1U9HbRuzoHHW3bfi1n/N8Js0zT3+FqbK13FJdQWtr12WdP3r8MC3rNr62k/TfSZ33oWw3IeeLlCihM5sRxVctbr7QOc72D6KQ4qzsvBV35U8EhSzLCIJA4uBBTDt2vHbcm/JiUpswqH515/XfNYqhEEqHg1IigcJkohiJIGq1lOIJVOWvKgCyJCGIv1tJjv+74kAZbRq23PnbiwP1P5034kD9NxII7MPl2sXi4iKPzzyLVbudNa5zPDbXyB+vbkeSl3nQrySbGEEvwIlFJSF9igq5AVnwcbhkxaKANAIt8gw6Qccx6mlggVJRw0rlFJmEg4ymmZ1VeUzRRSzZkzwvdlFnX4Fu6ixJSxOSq55zOZGPzj3LomKBR8xXsEKxnyrnHqYLBd7dtpvE1ASfyKrYbUhyq7LIPyZ13J7UsVfOUCaDy2BlbyoOOQ9va+vm0Pw4VpOWlFrNSM7A2XgGCwp2mQWOJLPcLV3gO/RQoVTjNqjxxwaxFYzYVRKFnJOQTc8/lUQ+lfOwlDGg1xl4t3iBcCHOS9l2PlS+godSEe4qt+PyFFG0WPH6X2ZJXklNYyXb7SbU/zYJzg4GEVmiprP7ZybGQi6LVJLQ6F/1Obm0fIpH/FnOZiws5aG9FOCzFQdJJTv4bK6b+921+BJ/S13zX6BWq1H/Ev8QKVukFM9TjGXxHL2EpzRNR89WpEQejcZANLpEww2bADj8+W+jK+gp291OKLFM9NgMpr5K1Gk1qUAEWZIppFOMeU7T4OpFq9ZT0djClP8C3Q1bEPwSynoLer2Z5egUxlkd+6plSlozFcIzJKwVqIvL7Or8KPOxLLr+ebwNczTP1pHIzyK3xcgYzXj0O+gcjfGSKk9HKYenKkPtxaP0yzvZpTvB1yJ1BB3jONRGjFjIB81khUnet34zw3u/Snl5O3sLNVzEyscC8wQrGzHmh1iKOsAVZFrsRdIG8QtO3Ak/Tfk0sbAZp8PPouDDZ2vhKv/DhExrGQiYWZHxs6lnDd5Ikc6+TUSPDvBkVYQ27ywrV93J1OQE1rySnNLA6p2rePjSIrJKYE99kjLrSiRJ4uHjp9E3t2KTiwhnXkLtaCC/dJFjzeswnBpjurMZw8IcG6NLXP+hP0LKFUEC8XXYeTZ36SJnB89Q35anvLyb6urfPKCrb3qCMz9+hPqedeiietw7u1m+OELD2tWU0kVmFcs8OxHnfCLGClHBp3Zuee3c+IsvYdy5AzmTQfH/LXEvJBawaCyY1b+7c3BmaAhdVxepk6cwbFiPlM+DLBO697soHXakTAbUarQNDahbWok89CDp02cw7tiOaccOCste4gcPIgUDGLZsQb9pE5rKSqR0GimZRC4UUP2GVovfBv9VMvS/IxL5/2ReVxttKBTiBz/4AR//+Mdfz2r/VyLLMoVCFICKCguazGqivinkmIn3rF/L/WPTdChKbFOqeYQGTIk5rtbZ+LrCzli2hFFl4BP2GN+Mu7kmG+VZRRNViixbhHOYJB0vKOuoUGp5c6vMj5ZHaUs8xknlLuq01bQVUpwvKvl83Ua+kIqSSs1wlyJB9RVvZXr8PjpkF4vCbZC6yO0FBWWZIq8YtNyskEjl59G4+jAlgkxa5zmdbMAkitwoCghmDdaUnmx6lE0mF6fxsz9ipBIfOtHGZkHFqXgACQU/VG2AQpJUMUK7upYmOUx500ZWiCP8c0APgQR/b9BxZ3UTnqKSHy/OMxqNkTV18ilDmoBLzScjEq0tlQg1EqJBRWYgyq7tjahMrzozZrNZVCoVrmoTBuuKn9sPmUScYr6ARq+nIMl8I2hhX7iEUwtmOUZaVUSrfxdTk8PcUXGUl3J23rzyCwiCyOnTp6mqqvqFZmBRqyQ3HSM3G8PuqEad1GFrriZ+YB51g46sWKD/lRdo3bCFro5tDI4dRA4UMKR0LGYi2M6WM68YQJvRYjdVYd/cgGWwAsWyREjyE4sG6EysRTmnwLKrkdxYhODCNO7WRpRXG9jR70feVEeN5o+JRbLsL8VRaRS0atXk3OUYAxaMbWaS52b4dkCHHGlFFRphOJ7nZFMag6me62N1zGj7GVKeoivdga3uNG1FN4IhzsqG3Yz0f4kaRZpHhi10itUoTVmkqJYdwUGCYhX7SwtoJTcbXMM8LDbSkjlAQLcJk2+OTlOMBCJbTWOkq0X8oTRrM6f5u6q/ot57hpuEHC/Zu7mj9xr03qMMPfICdTvaWaGvwiobCCiG2HnVjQwNfZdnUqtpXF5CPPoYy1v28MR4iHXOWQpKFVmrldqID2ngPLMzF+jqc7Hhjg/TnS/whXyJOu84N119A43OVzcWiJrXb2o0OV2cTuhRT9dTX9/9G9WVCAeJLHmo7V5JeZcKTUaLRqtHLWiwO6tY6h/B3dXGdxeidGo1RH1F7tn409c077n61Q//IShhjanmN2rbfzWJ/QcwXbHz1c8HDyJotYhaLaHvfx/RaES4cIHAv/wL5j3XYLntVvz//GWkZBIUCnJDw2Qu/V/UjU2Yrr2G2NNPk59fIDc2SvnnPkfw7/+e9NmzZKenIZ+nFI2iLC/H/qY3ASDn80j5PAqjkfzCAoJajcLlIvrQw+hWrkTXfXlWxt8VRFH4rYUq+F3kN7ZAybLMyy+/zL333svTTz+N2WwmEAhcVh2/rxaof+ehhRn06VOUDDvYYAxgEEp8ZjBOdX6CTqGfUtkO1pkzDGuv52GPn2R6llJBxyxKHMoShaRMQlVEQ4IZuYw35R4hqO3gLE3Us8wGux3j2GGyBgGPoZZVhQS9Bonalq08NHMUQ6HIqVwjN1vb8Sxf5AmVnffUrGFHrcBLAym69Rpeir5ETldGqWil2xxiejiNsbeXcwkRm17PsUiCXKlEuVrJzRUODgxM0qcPMmVr4GhUQi9HudZdzxOeaVQiqFBiFiU6JT37ZAkBmT9qbeTw4Dna9BpGVQ4+WGFjOnSSiNiB1bOP8xYRvWY7om+CDUU963ZsZHb2Idrk2zGsLieXD6JROzl7+gSKpnbKsmmsVisGg4GQJ4nJoUWt/fmCsVhMEY2eZVxYyUhwhgNJgYF4kj1lZZjiI+zQeHk8X461kOA9fddQZXD+3Hr+I6GZOSKD8yhdemIhL7ZiGfMX++ndcx2GvjJGjh0mdcGLtsWGw+Okf+kgLkcNy6FpTJVOqpQtiHYFSV+IgdmDyMiQltncfTtLhnka9T14p8Zp27kVXY8LUa0gn8tSnElR8KRQV+gRGy2cDSWIzsbYuq6G2NSjGCfXoV1XwVPn54mEspxRxtmmtfNSMU1zuQYhB23oyKlEDkhxFLKHG/JHUDhqOZ+oY95QiTHrQ/RJ9Gb7aVFu4RHpFFNVG9ElxzAjU5NUkFTMMa5ZRaWcw5Tx0ei04q7bxFRqGO1olvraDs4tzSGp01QFIhjXruVgeAJ5TsOlugYqChJXRCa45YabGV9epjORYKzCQZtRjV1r45I/RDYRQ6WPUy44OJJcoiKRoKN+NWOZPDXJKE6HnfEzJ/D3bgZJ4kqrnjMFWE6mWZeL83ymQEDycWPDOtZbjb+8Uy+D8aOHsNbWc/HoBJU1DXRv/dWii/87cwMXsVdVY7K/Ot6GD+/HWVv/6thamKO2fgW6cgvhR8dRVuhROXUYVpbj9/t5cfI5eitbkeMpOtp3/kJrqSTl+JsTz3Fl51WssRhes97+TyHy+BPYbrsVKZcjfeEC/n/8J4zbt+H6wAcoBAL4/vbvUDqd5MfGUFZVYdi8CQpFdBs34P/i32K/604Sr+wjMzCApqsTVVU1hZkZ8h4PpUQC/bp1ry7lhcOkTp1E3dBIfn4eJAkpnUbT2IiyvBzRZESQJMzXXU/gy1+m/vv3E3ngQVKjo+SnJnG9973oV69G8V8sx37fZeh/F7+2AjU7O8t3v/tdvve97+HxeHjLW97C2972Nnbu3IlCobisut7ofDg28yxnS31ovHspKTQsaLppdbpYn/xXRjIV+BRlrDXL7CttIJQLczCQR0mWjKSlIKqpk/Oo8ksMa+y0UsSptnCV4kkKlR9kV2Q/fxHOkRaM3CMeZEB3HT3JFHO1q1gOnsAndLAYD3Gt2MB85hgefTXxopOHleUcLldwXzbFH9SWsXT6PtptVu4tFdFKDSjECaYKdbgsdtw6PePxBJ6MHodJz/sdFg5FBpHkLEfjbjJyFi1pdhuTJItKNlktfHMxy7UmB5bMHGdJYM20YtKFOSYoqNKYeHONiUB/iVccIqr8KFf4QKceR1poZ/3dO1leXqa7+ydv13JJohTLU7KoSJbkn8pkn4xk0RnVKFT/uWB4ZMmHL5fnaa8PVSmOp6jj75p1dFvqeWA5QEXgSWrMZayq6cJmXftz63jSF+EGl/W1wIyyLDP44H7SldC7bgORs/OIeiWiTkl2OEQ05CNDitnIIO2tG+k/+xIR3zLN9Wup2d5L9OIChXQGc28VgwdfQRtR07pyE6V4HpOtjKwqRdoXxb6ribYNmyn4UmQGg+jXVZAbiyBli0hleg5nMmy0GHBUmTh/YRlZKRLIZQgkCqjUCso9GWZzUbQNZQhNDqbOLJIoydTXWihL9zNQ8qBUWmlNHiDhXUGXuZcfaUe4Rh8hoygjFT9DRbCOl6rWMCvPkzWtIBXwELC6UEsKrhw6i0tXxGGa5v6Kq3HFo6BtplbWk/D2k3PXMCkKuIgQK9lZKSipLKZIqY30ZEdQmRuo7V3LK+E4W30zrF6zHoVSyfj4OIlUGpkwjsZezsydIzctol63gp16FYvT+zirb2Kz0cn5eQ+HSgre3ubmUAwkASpLeTZoh/lO2MhNdavYaX/95p+5gSCBl5/j8PQxZLWRu//gD6hsabnsegrZLCrtL84tV/CmyMzEkFJ5EpvcSMEfctifZKtyyy/cOBEKH8Vs6uIjR08xrXFwtbuat1U5cal//fxgvymyLBN9/HGst95K4uAhstNTxJ56GnVlJaVEHIoldD3dSLk8quoqCose5GIR086d5MbH0TQ1Ydy+ndgzz5DYtw/tihUUvMtYr72W2PMvoLBZyU1NY1i3jszgIMVoFJXTiaK8jMzpM8gazatWJVlCzmQhn0dZWYnCZKIUDiEViogaNVI6Q/kf/SHJI0fRdHYgKJWUgkHKP/GJ//J79oYM/e/hsl4zcrkcDz30ELt27aKjo4PBwUH+6Z/+CVEU+ZM/+ROuvPLKy1ae3uBVNjfcwPsb3NS13MTbVl6NLq+ibHqCU9Fqkv6L3FHZTlrdyqz3OPsDXhrwcreQ4qP1RrblhpgXJNQWG1V4cZbCKKVBHst0ct/0JClUFHGQkuw4xVvpC55gzL2e6tl5+jRu7PkRPlIuIKf2cnNbL7uUSba4Jcw7a7hSpeO9JQ2u8UM8Yl/HbMONrKrcwWFZT5nSgEmuwp7oJ5ET6c/oWZBL9Jbm+PzcJOv0jczmDGwQVEhKPV1amSeyjeSNHfwwEOC+GjNvspSTV+VRaxSkdFpOSg7U6DHnhjk28TJj1gJ36Z/mvTo/5pKMJtNG1dYWQoEQnZ2dlFIFSqkCT/7oCZBAzpdQ5WW0hRxTU1Ov3V+jTfsLlSeAVAl6LRY+3NCIpK6kWpmiWRpAjRLV/PdxiIusb7wDk7ETScoRDoeRJOm188PhY9zgUP5UVGtBEOh+8xUMOCrRGAyUb25jdOIYE88fYTo+gLrLzOjcMfQWK8ODhwkHvNQ7eshFkgTmZrk48DJqp4Gask6Sy0Hc9e1Y9C6KxhLlW9rouHYnba3rsbsrySTiCHolKASUJg2GNRXoup3IMzGucprRBrOkZpdpbcjQbpdYYRpkR2Kcq4ISD1lkvlth5sGsB8PJs+SMFykji6s8RIWrkjUr30qTfTsDtZ/hllveSljczyd2v5Nx40q+lrKQNNu419rNyWKBKUU7taP92FR+Vir83J69hFjlZN6kJqNsZWVqliuMae6KPsGqwI+ZdtqoFJQ0SsOsS+xnSzTNRv80LyezWBdHCRWL9DXVUc0sWyYvoU2nAJnTB/ayT1axelUva1ZdQYPFzqJURGFTs4UDjJ08ht+1iT01bUwptLRaLSSyg3xmaIDE7KMMhyYpyQFKmiqutWRwK0u8Xi6hsiyjlEIcHD5IZ+MKtu9+MxbXrxf1fm7gIvL/N85+HqoKA4KtQEw+wVwmRVXlnbS5VnPKWfsLVwTMpZUsLR7heZzUGMz8cYP7v1V5glefGQSB2PMvEHvySYqeJUStFkGppOIv/gJtdxeWG25ENBjIjYxgWLsGbWMDCoedYiCAqtJN9NFH0ba2oFu7BnVdLerycgS9HuOO7ciZLBWf+iSFpSX0vb043/F2SpEIhakpStks+dlZ1GVlOO5+Mwq1GsPaNRg2bkThcKB0u3G+730Yr9yNfvVq8oEAiX37iD71NJHHnyB15uzrNobe4H8+l6VAVVVV8fWvf5277rqLpaUlnnjiCW6//fbfVtt+79AqRK4pt6EgxpvKDrBuXTfPqTdiaH0nyeR+JucfwFJU0WS0st2e4FmNm3+cj3Na10ifJsBE0cKb9LNsaFxPqdjCRm0ZVWk1Gq2PHr2Orxd1BArfx9D4dq6NX2LnKidzxm400TR1Ug51z40kk0nqFPUUY36emT7PhVCEf0nGUEgXqVAIpAbP88rQMB+ttXMhVktcG2BO38Vq1Qj/nMlwc8lHf87FOyUT31yaojcbYz45S296GHUWdhRFGpUBNufV3Ds/zcHlT6HStjOda2Z7fRlv819iY+kCFqWZBmEZhU1Fa+0dCLKCnGWZ+g1aBFlEhxNRFKEkUUgXqZDLOLf3BKoKA7nZGAaDgfr6+l/53g8d2kci9DzzgUMMJjN0lrJ0q408ERT46+GzNIu9dLrfSb4wg9//Ivl8CL//BYrFzGt1WCyrUSp/EvV57MRRivk8mUsB3t31apBGQSnirKnDfc0K2jZuZun4MM01a/CfGiG87EGUBWZCA+RUefwnxqjvXUVRV+D43kfY/aEP03LnNiLFAGJewdKhS6SGgxg3V6Ep6FBpdYhaJXJJohjLkZ2IoDCq0TbbyC4GOZ7xEpxPkDodJPl8kNylBClGkfRpqmxLbNapaDNXc7iumXJLGQO1NqaiCiaDD2MZOoF57jnS6SU+MzbHQOsGvnn8KbJ+mXKNke+WdtJtKMOgVnCtLsLpunLmVZ00+h10VG3kMVsddvMqBlzr6PO9gGJYhKU2/A4rLmOCoN9DPtNO1vZ2Tpfn0HGRT+sf4NrudtasqeLAD+5HzNhIp+PIUhGFUkVdaweeQIhYYBGAo5EEayvX01rZSLFYh9dgxWAwcnRkjGopwHBpiDe1Xsn/La/jReUWtpslQjE1fmUDRUFHTlbym4q+6FNPARAcXuS5f/wnDIKK0FKajs0rMFh/vUCDzWtf3QGYikYAGD5y4OeWy6QjiM1qbMVxYrELpKYLXGPWoFAoGDq072fKB72HeXFikjfN6mnWSHy1q/nXat/rSfLIUYLfuRddTw+CQkHZH34cQaVEUCmx3HgDuZGRf7M4FVDa7SgsVnIjI6DVEvre/eTnZpGLJUqxKInDhzGsXYsACEYT+ZlZCkvLKMwm0mfPUlhcoBQJE3noYQxbtyBLEvpVqzBt2IC6ohxNUxPmm25E0BvILSygamggNz1DfO9eRLUKUaMhe+48lttvR79+PVKpRH56mqVPf/pV5/U3+F/PZXlKlkolBEFAEIQ3LE2/RfT6BqrL9yAKKb5U7WM02Yxov5tbbGEeCOtRBPYyKK2gVAiQxEGNTkOgUKBcBQ9k13InBb7gqOAj6SCdzZUMiWGCaj2HWitRhztYnJnDb0+y4sAX2eiuwLz2bmLzft5qj1N0trDsBU2xDI//Acorr+GG2DAPJ3YRS2p4RFtEb7Ty4vwQansH2WQCQWvCrJNYrCrH7S3QX4SoRodbSnBC3cwGm4oL0QVGxDJuUqi4vXYVB7LHGYioaNNcxUBRgUiKE/El2lbUk06EuMfcSzq0gFXwoBwtY+DSRVa0NWHJVFEmlSGn8iRGg6hdOrL+DHNrG3hT06vO3LqOV0MTjB49SNf2Xy1EYdf2XTw5tYQ58QRq8yr0FhW1if3EVFvRzAZZ0liID89y55U7MRmbkGUl7e1vee38bDbL7Ows7e3tAIQ8C2j0emYvniMWCmLM2ClkMjhqaujYvJ1nvvQFSoUi3slJHIYKBK2SdNyPQqmkY/N2zGVlKBcEcq48nfVbyXalUarVzA73YzJYmC0MoLBpKDQLKAwqtBhR/luaEdOmaqR86dUdgOkC6cEAmAoMhL10hiswbWslllggxDydbe9DXW2k5cI5tplSnJp3c8Ei01XezYpKGydCCVS299Bl0PPP54fYoV9mfzDLc6V6LKUsaAz0xaZwazu4ZNOySsiiKihRKsq5knEGa1bylCeC2qBhMZflg+VWjqvfh8MwzTd0fXSmL3G7kOOQHEQTyrAtZ6CluYuOFTUMn/gueVeSKV8tDb0Sh+I5eleXU1n26rJteVU1ny23EotdAKqRPAuMWJysLbdi1LjYY8sRCAZp6urguxf68arLuWLgb0k47uEap503N/diUf3bFOj8+TvjTjz2EFXtnQTmZlh93c2/dBwpnS6SJ07w4jceIZ2Lo1c7UVWbKGRLYPnF577oD7LapMSls/7MbwvDg5RKReaeeZz1t9z18yvwafBbNvHw8hifbO7AZN732nKO/f97DoLBA6hMfXzz/CP0m29BJ+j5ekcFeuV/75xeDARQlpdh611JweMhc+kS6TNnSB47iqBUEfzOvZTCYUy7dlEIhSl4vdjfdg8KswU5m0GQJAqhELnZGQpeH/nFRTKDgxh37SK5bx/2D30I/1e/iuWmmyiEQki5HKVkCm17G5mhYeR8gcyFCyisFsy7d5M6cQKluwJdXx+h79xLYXQE91//FbGHHsb57neTuXQJKZ8n/MADaBoakJaXMW7Zgu2d7yR56BDm3bv/W+/nG/z2uSwL1PLyMu973/t46KGHqKio4LbbbuPJJ5/8jZLxvcHPx2BoQKerpq5iNz36RS4tPUuBCu4069hSvZFNFoE+rYtKRQGRAr6imRatgFur5Ie+DH8jlVirj6GgwIWsgxpFkO2GEKNxNz6ThF1lwmGzYypZeXz2AjpLkv6YyOlYgocS51Euz3FH8wY8ShdN7mtpr21E0qaoUOboFJPssFezlMyhMVtYyEm0KFI8E42j1vnYxgJbCzEMulYsah0YTRjkBPpMjpczMU49f4IzmgZieYlQsJFOhY7VnKM14aEv42AhOc+nlpc5U/1mJuSVDJkqwNxKrfZOXlQ4EQ0qSmV67k8skhJy6JpMXG3/2dQXv6ry9O/ssJv4Tmo9Dy2FuRReIJHXUBeI8c6uWXY1VnDjll0kEiXGx2dYXFwgGv1JNnqtVvua8gSvpvaIhwKc/fHThBfnsZaVc2l+nn0jY7xy79dQqrVkE2kEEUJZHyk5jtFhx2R3IiPjLLip2dOHLq9nKTlJbiHGuR8+QeFEmMXkGGqNnsbm1TgrayglC6grf+L8nFtIkBkMIuqUJI8toW23o69x8+Gr1zHSHuTg3I/Q2yw4W25H1CgIZiK4u64n1ryd4IpKNqZOsqRXku2/QMXiFPPj3+epo19kSGHhgN9PrbOLzy/5qDS4uKPczW7xDMkaIx/PZkgl41ySXHyipZq2XB2yrMBYKLA9GKBYyhFWZ2laXca4Jsbq6EXq00NkfCF6w2PYC0qmssPc0uHEt/hjqi3bsNuNrNRbqKyqoToe4omLMsOnv89oMsNTS0ESiQImUwf7Zl9Gkxrk5kKcRp2Gs/5ZHp4eY1BUc8/JC1gXXuCzDXb6dv49VZ1dfL676SfK0y9g5dXXMn3hLLGA/1caQ+r6erKSCjRpzCoTTWtu5M4//AOs5b84NQsA5x/l2Yfe/3OzxLvqGxg+eoBzzz+NJJfwz/50rL10LErakcSm1HBV9SoWxhbRaqq5ePHiz9RlsaziwMiLjOiuQVHwcl1tA222X2958fUg/OCD+L/8FfJLy3j//h9Y+PBHSBw+gqa1Bf3qPlTuSmq//S0EtRrHBz+AcdcVpA8fxnzNHuLPPEv8hRdQVVejcDgozC+QPHuOnGcRGTD09aGy2zHfcgvR79+PYeNG0mdOU4zHKUVj6Fb1IgNFrxfRYKDg8aCwWBBEBcqqSjIX+0mfOAnFInKhSPSJJ8kHAoR/+ENiTz+D59N/gqBUUQqGUFVWkh4YIPbkk28oT78n/NpO5FNTU9x3333cf//9eDwe7r77bt7xjndwxRVXvOFE/lsgEjmNzbYOgHOT45xVmdhqNvJHkx5S2Rg3KrI8nzejFZRE1Ar6lDJFjZaR6AxvdcFCapka15Xkw89yV9ubENPnCRw5zaGua2mTT2ONLJKRNlFb3cVkHs4VFrjZXYd7VuBLpiLm/Aj1jj682Tyq/CzeXIGPN6+lICqZmf5HTubvIJTNokru43hyBa26RWKpBlraLeAPoLSqmZwJEXA6qSuoiCm03G3T8tDkPDGXyB7Jy4LQSCPwUDTNNRYLgyoFVt8CBpbZU9lHq7GGyTPDpIMJhA12CoUCEUczOxpsZOZDuCrLWI770Wq1FE0WDCTIJfpxOnf+Svc4USzhjY7w97N+gql5bpIuUVTU4EXDqnyYNSveh1qtxuv10txcRSAwj93eTKEwi0plRaN5Nf3HyNGDpOIxRo8dxD8zg95sw+Z242xqpr+sjraR82gEPanRIGltHF2lDYezhvRUkKQhSVPfGqo7uikVSiSXA6gsOi489BSZaJzKTT0YrBZa1m/C5HD93JeX7EQEbYvttc+CU8PjnjDXUuQHxSBtHiUtvgTqzU6MDgvjU0/yQGY1ssJLTcbOxmSSpOoEx02baMqeQV2mZbtiBS8uDvG4egMkfLRUahhNBLEka2hjgdqihn8yNLKrcIJCoZtlfYLrjGWoSgJSlY752SxbY0VEm59/kktclX+S8nCSc8WraC5mWNXQQ24hS9XKWupWrSKTiJNeziIqFzikNnOVuwmDUsHomUH2Z8Ls6uzm+WiCG7lA1DPEd5TrqLXV0F44j2iu4u8WVWxVj7BNU84LqTLWO4zc3dyKLEkof8XcbhNnfeiMQRQKJVZ3JTrjL07Ke/bwMAp/jqEzEaz9z2NZt4LNf/lWRIWIb3oSpVqNo/rnKyqJ5CQv7P02CjnPqt6PoNfrqaj4SWLWyPISz33l70nHo9SvWMWa627+qboyyQRDT72M2LQSy8pqzkQSvBxO8vFKqFWEsFp/EvR1cjbC+NQQi6pJHtOsY5Pdwmdb/ntiG0n5PHPvfg+leBz9yhUUQ2Hyc7Po162n/KMfoRAK4f3Lv0RVU0vZxz+G78tfRtPSguud76QYCIAoEnrgQRxvfxsKnQ6pWCTwla8iFQtYrrmGYiKBZccO5t7zHtQdncjRCIJShWjQkz5/gezICNqeHgRBQLTbKUxPUfB6UdjsKEwm9OvWUZidRTSbkQoFFAY9siRjWL+ezIULGDZuQNDrCX/vfvQbN6CpriZ1/ASGLVsw77riv+w+viFD/3v4jcMYSJLESy+9xL333suzzz6LyWQiGAxeVh1vdP7lEY1GeSxR4J3VTg6H4nzXE0RMFUhqRIqSxFqrkWf8IT4mTnBdzxqeHfoqK+ru5MWlUTZZzegcu6lKv4xLdx05o8jU4sM0OtehUNQyuOjjUlBC5Zxng3yMkdzbaDR4mSTD96PlWEp+3mL1UFL2cMA7T5Wzincq9Hx7YQB7IUS5bSUV6nkO5I10SmNUlGZZ8tbQr3VjEho4a1cxG0+yPgaW9FEuOlfiMDXRkRqjIfk8p3VX4bRXs8uZZnr5KEpFK1VqNSeW63mz0YnUqgNvDnW7DVEUyQ5FUSGg63IgKEVQvLrEfGhqllqjnob/L7qwJEkolEomzvpoWVP+c+/tzPJzDOes7Atr6Y8FaChd4G6xREf7u3FUVKARRfyBl1AqjMhyIyaTA1HMIYpqRPFVHxdJKnH25EmmXnqapbERLGXliKICZ30j3vFRpFIRlVbHhlvvIrS4QHljMyCTTSXxTk6w7S3vwDsxhquhiZmL54gsLTB87DDqvAZ9tY2+a26gdf3mX3m8DA0NkZuO0bOxl7RFjSdX4NClQbY7LbiNBnzTk8QVZzmX6GV/UaRQKPAmi5tQ5jjBvJGQXc22gEw4qSOyqp1E5jhnC/XYMilUgp1gUmZrMYvHlaI372BtdTX/kMrw3nITLwRy9ORlng+P8El/jh9zkUuV5fRZOuiaHmXllvWMKxq4wm3jCW8YvULBHpcF3+IpnllUcHd3Oxfi42gCCla0NXDx4giTFTUopsZwNKs47/HQUWbCEBxAVYIHii206vN4kkl2O7fiDCyw7ooryWfSnH/xOWI+L5vufAvpWJTyhiYiyx40BiPZRILw0gK+mSk23/lWpJJEMprD7ND9wnsrFwrkZ2cpxWJ4+vvx7p8monZjKEbY8e1Povglu+cAMhkfXzr5I2qMRa6q3UZ5+Rq8Xu9rClQxkuWJP/9L/Ok5mtdtYM8HP/5T55eSeSKTF7G395FTiWSzWQZm5ygEg4hSkZ07f/ICkV9OsRx6mtNjNdTs7OWLs16eXNX8X76KUAwEyE1NkTxxkvADD4BGg1KrRd3cTPmf/gnRRx7BesstFBYXkXM5DJs2kTx0iOz4OIJWi8JiIfnKKyhcZWja2hDVKoqhEJr6V53Jg/fei6xUIfn9CCoVhjVryM3OgkpJfm6e+vu+y8JHP4ZoMKByu9F1dqDfsgVRECgEAog6HamDBzFs2ULiyFF0He2gVhN9+EdoGhvIjI6i6+wCQUDb3UXipZeo+uIXSV+8SOr48f/H3luHWXLWaf+f4659Tru7TNv0uEsmGUkyEw8kQBKCBVhkYRdYWLLAiwWHZSEEIkCE2CQzk7GMu09Pu3v3cXer3x8dJgxJILq77/vjvq5zdXd1naqnqs6p566v3DequW1oFy38bzuf/5hD/2fwjtXixGIxGzZsYMOGDTidTn7/+9+/G+P6B/4GjEYj9xpnfw+nBeq0SobTGQZCEVYa1IQCAT5lsTIQ1HC669coir9EjTHFHOtc+qIpzgfCNJgWIFaAJyFQVXQHe90BqtSwzx/kgxVOVJpmdnbkc0afISaWs1DhYl1xJd0BM+XqBYiSKR6biSLxu5muqaJNpWK69wmOp134orkUKcO8EKxnU/5V7AtN0CHRohCm8YSKuc2SQ9zvojRQwTK9memec2hKFzBhqmYiMk2hK8jujBefqJbepIGN9gxLSiUMjT6A/+IW1NIcFqhnn5ilFSakf1Gce+HkOeos5aysLAXg4sWLKFMj5BUvJhoIkFtZTVnzG2s4dTtKCSgmORiUUqZUIFPeyETwCKtyctju8rM524TZtJTOzkFaWvIACARiuFxTlJeXAyAWS1iwZCltCxZwbseLyBRypvt6cYwN84Hv/ZRYKIR7cpyihibql69mvOsSiUiEkoZmooEAl154ieZF69n/h4doXHENUpmMgtNTiNVS5IV65Co1kYAftf7vFNW8goaGBhJVCWRyOcpMBsfgk9y18ENEbFOojUZO9x6loLoQfa6GFd3bcAhqjiosqPRN1E2fxRNSsM1YSVrrJdjdT6GkiG/mnmOvoCYgzsKgP8eOdAMrENMRSLN5JkO12YdovI9FPhcz4nLMKTH/aR3AG6nBnLSwUWXCsHQV6ukUleoksewUCyKnSSub6QjKiMtUNJblMxpPUmKs5XnfCUqDNmprF5Ln92OcN5eZmXFWtrXw+MAwv41mEZfEuNtqIe1wc1f1HCLeGfqGeulTKxFLpFQvXIJcmYVIImbg1EvIlSrSqRTemSmGzp2mom0BuqxZv7tUMkMslEQqk6DW/42IlUgEEgmRnh7EL27D6naTU9eCriTrTZEnl6ufEyc/SV6imnV1XyMnZ5Y0/WX0KeRyoyo3IXSOUFBXTzQURKXVkYzFGG0/T4GiElRpxEopKkAQOTji6GJLjY6G/GsubycaDBAaGCHinmbJyjK+OtrHAq3uf6QEQ6TVvqLuHUTVOAexQoFu7Voy0RiJnh4sH/kIoYMHISOATEbK4SAxM4NYoUC1aBH2734P0y03Ezp7lnhHByKtlsTQEInxCaQ5OcQ6u1BUViJWKBDJZEgLCsikU6Rtdky33oLrwd+QstkwbNxIKholdOwYmWh01tomk8H90G8p/MED+HfuJHzgAPqr1xHv7kbZUE86EEC7dBliqZTE5ASqujrUzc0AJEZGEBsMl8mT/4UXMLxievsPvD04HA6+9rWvsXPnTux2OyaTiebmZu6//34WL17Mgw8+yOOPP8758+cJBoN4vd43NJGPx+MsXLiQ9vZ2Lly4QEtLyzsa2z+sXP4fwEwswXFfkD/NeBCLRNxZYKFKpWC0y8l0FtxVORvqn4kn6At4qRY6ORLL5+aCEk4FMiwxvVo/kxYEMgL0nt7JVrWSU7FsWo1G7q+wIJHMTggej5NYIM5UUsFp0RTr8mr4eccA8XgfX12wma+fPUubOERXIkZh6jSXVMvR+XNw54goTAjcVxhht+sS5z0GNogL6BPGWKfdi8z7UZ5Wa+kLObgm7WOFLIMrk2G3tJBCkZglykkqi65CX/rmRCxhVnjQWq0myzof8Sup5Uwmg81mIz8//3Xfc9wb5OlpGx/LSTEys43eqIn3lW4mN3s2muX3+zEY3hx5gdkOv9erx5rs7WK88xIhjwtRRKBp4dWksgTyK2tIJuIkYzGGXzjO0RNPoTNbWfOhj5JfU0PI60EskbxpAgUwM/M8crmZZNKPSLGcB/pOc49Cy0FdMYHunYzpsrDmViNOZXCNneS8ppivp86jTimxpLPZ5SghUCpmfuxnHE2spjFHxzFHhIYBA/saC1gqaFlkjHB2SsP11Um6I2rSJ9oZtYyyr3AxW7xneEaTS0EwwUbTEKuKP8TFUydYcsv7een4ceQ6I8FEms2t9ciVs1GftCAgBtzJNBIymF5JvWUyGcRiMdFoFJlCyUsju3H0DyGpWU/lySNkl1VSs3jWuiQaTOCedmDK1SBkVPSdtlPWlEU66WKiL0TINYxY5ANEzIwkqFnYRM3iVuQKCf1n7Ki0stf1S/wzAi4nWrOF05/7McVXl+N66o9U3PcFNG8y+hCP+9m2/V+orGilpeXjr7tOyh3lV5+/B4VWyVUf+SSmvEKMOa8SrPHOS1iKS674PEx6zhF16/F4PGQ1NmOQShjrfxLjiEDxki08F4sgJB0cDOn59ZzSNzXWdwIhnUb0yvfPv3s3wT170W/ciOePf0RqMFDwwPeZ+fevo1q4EEVBAdHuLsQKxay+09q1+LfvQEinCezZjaKsDKk1GyERx7/jJdTz5yNEwiRtdpQN9YjlClKZDMmBfjIeLyKdDuJxxEolijlzEOJxRDIZ1k/eh/u3vyN09AjWz34WIRLBcP31hA4dIuV0YX7f7WQikVeUxhX4nn0G8/veR/DwEcLHjpH7ta+SnJxE3dZG6MgRlM0tTHziE4gkEnSrVyPS65AajWR8fgSphOiFCygqq1BUVqBd9Pa9FV8P/31WLmmmeroI+bxojSYK6hou+y++V1i+fDnJZJLvfOc7lJeXY7fb2bdvH01NTWzatImf/OQnxGIxAL785S//TQL1mc98hoGBAXbu3PnfT6D+/IT99/APM+H/fjw04eSWXBOx2Azh2Ax6w1w0EjEqyWv7BC5evEhLSwsjkThl6te2Vt8/MEnS5yXHYuWMP8yP6orpdV8iKStkpdlCZ/cTlFbfyHAcOjxjDEYFGmQhLkbi3BTO4qHYBCs7bAwuzUIpDtJWtIGtY6NclyPim6OwIDnAPUKIU7IIJ321fKGilGMRF6v75EwqoaBgBKfIR2nuUrpPPYVBuxlDKolhWRyzedY3rr29neZXnvr+jD9PrH9GNBhAqdHitUfxTndR1NCIXKlCEITZiSXr9SfGQCrN5y4cJC3Jwu86y51hE7tyKvhXs4Kw24U+v5CysrJ3cLVexVRfN4f/+Ah1y1bRcvVGup7chds9iSKlxpdxkpImUWh1JMIh6paupKz17xsY/zW2OXxssBi4eOi7NC//J2RSDS7XfmRCHcNTP+Zw7DZKBScyzuCfqOSoNUyhqZVWm5MnYyJu86k4mAWL3V7O6yZRlVoYD+ay1HOY51jED40GHpY7aBZNkDZbsYyfIhy/imNSPyXTNozaIV7Ku5P3iy4xlbuAD1c1IBKJL0dS/gwhmUYke2s3Y9tgPzKliqzCIhLRCGOd7ZQ2tSKVK0CAS/v34nfGyC3PoqJtMae2Pk0imgCRnjkr17D/kV8jV8bxO+2otGWsuOMWZCojIpEIc97fN9UdObgP9cUOVPX1xEdGsH7sY2967OfOfQe3u4x5867GbDa/4XqeEyO8+OwPydGU0PrBLeRWVJFKJBi9dIHKeQtJp5JXGA07HLu4lK7AKZhZqYCkXEnSH+XUxBTXNlTyzN5hHMUBXMI0cXUj36mtQvced+D5t23HcN21RM6cwf6jH4NYTDoQQNXcjG7FciQmExKdDuVfNGJ4n32WlMeLcdNGpr/272TSaSRa7SuRoAZyvvSvjH30Yygqysn+zGfwPf88aZ8PkVpD7Px5MoDMYiEdCKBbvZrASy+hu3od3kcfw/T+9yPWatAuXUb07FmUcxqIDQ6ScjhQlJSgXbsWsUJBYNcu5JWVhE+cIOsDHwBm048ilYrgyy+jnDMHZeWs/IMgCIRPnSLl8yP4/QgKBaqmRsIHDxHYv5/U+DiywgKsn/oU2iVL3tXz+98xhw6cOs7+Rx4k5Hm1REdrtrDmro9StfDdPZ4/w+fzYTKZOHjwICtX/m0PyYMHD7J69eo3JFA7d+7k85//PM8++ywNDQ3vCoF6Sym80dFRSkpKeP/730929v8/3Zf/t+LeotnUg0FWBH/H06qlpYVol4upbBmmRAejomqMcgWlKgV/nHZTqVaiV1lpMhsJ+c9wYsZLc1YJUZGaL118iXRiHoXDblZoZWzI2PmtzUqP0UCBQUJEN8NNDhvpRQuYSiWZEVL4z06iVEwjU5ZRTpx6n5LDhU10hyax6AQMdlgiGPiu8RLvL0ly0qfClizB/dQl0lVJZCEnPsNhWkI3gRl+cOoiX1jYcvl4wuEwKpWKjvZ2FPEwtYtmow/emSmyCktIJzPEw6HLkQ2RSPSG5AkgFThDFm6GKGJpbBqjXuCjHCe/+Jv0x+JviTz9may+EQpq6rnt699h+MJsR59XcOIOT6NRmUjFYjRvuJaXf/MLihtb3hZ5AlhvMSAVizhjrUXa2UuvTIdUXcGgIGA2f4HD091cSsiIeOejtBoR4eEaoYtLQg7Tcj229DDr82twWrzYtVejHLfRqwiRMi/gTtvLfDs+j0W+EfblNGK1J1msquRJVZIN6V72lC/HGlOwLtRLRVUJG6obL49LpdXhd9gwZM9GU0QyCe7JceRq9WXrkjdCJOAn4HSQW1lNz/EpFBoPaoOJqvmL6T68n9yqBQycOsrCLetxTXiZ7PMS8oQpaWxioqub/tNOdJYZEFcg1+WybksBfcdP0nP8LOl0NQarCvOmN77OgV270K5eTdmqtWRWrkYsEv9dscu/xLjHyym7nUzZFq7+G+QJQFyswDszRc26JbMpQ0Aql1PaPBfgCvIEkJW1kqskKtKCwOT4ODFVnHHvAaKqDJNCBVj3co2ilT3uBAV5mvecPAHo1q5h5v/8H1JOF+lQCP3VV+N79hlk+fmkXC4ykQiaLVuAWSLi/NnPSEeipO12PH4/2nVXETlzdrbYW69HVlyMb+sLqCor0W3ahH/nLkinUVbXkJyZwXzXXaT9fsJHjyBSKEi6nBhvuw0RYL77LhAgcuoUlnvuQVFWikgux3/gIDK9HtW8eYjkcjLxOPr16wGI9Q+QDoWRaDVIrVaSU1MknU5Eg0MoKyuJdXcTOnIUicmEkEggLyrEf+QIjh/9CMHnQ1JUhCCRkLTZCe7b/64TqPcaA6eO8+KPvv2a5SGPixd/9G2u//xX3hMSpdVq0Wq1bN26lUWLFqFQvD0tNbvdzkc+8hG2bt2KWv0mOmLfJN6SjMGTTz5JbW0tP/rRjzh06BAVFRV8+tOf5jOf+cwVr3/gfy+Oe0MAyKt0eNIxlKpCKlUSftDXjiBkuCM/C7f3PNLYBfa6g6zPyWNDQQWiTISXbSN8saKc6wutLM3IkKpUfM0ro025nU9rMvjSSl5we5k0zOWRjBePN8RMPM3zihTjogjbx/04RR7arflss8/QLNdSYizmP2SDBPJ2ssngoN/txTN0EGKXKFxbjVNxDaE5LpSGDahzaxEEgY0J7xXH5PF4SCaTNLe2XiZPAPnVdSjUaqzFOupXrGH4/Bliodnjj0ajVyiVAyRiKaYHfEgVOSTEejZ7HqBAfYxLmlo8wcU4HI63/MTyZtYXSyRUzptN+dSvWMXGT/0zlcsWsea+T5BVUMSd3/kpa+5685GNv4ZMLCIaHWeVUcR/ZVI84HZzOhJhl93L/sEz3Cm9RFdGxTLZDPZojAaRgfO6ZexUwfXmDHtaWtHLtbQkQ/yyvhh3lppvz6nlm62L6dWu5kNFM+zJb0Pru8Qy8UG+xXyK9Qaumf9Rrq8q4N4lm/ngpg9QXX3Va8YWdM8+zba3twOgNWeh0v7tJ+iuw/sJ+7wMnrdx4LHnMFhkTHSPceiJDuLRCJ7pKS7s2kv1wtkIpUQWJeSbJBmP45mOEPTpya2aSywsRqkrJBaRsfs3ezDmGGhYsAipTIxREiDW2/uGY9CvX4/4lZv5Ly/+kqnQFKK34B/XN9RPrzifJZK/XX8UHfbi75nddiQTILf8VbHLP+t+/TUkktkHhUQ4xuC+nWSNzTBHXs+krJreSILgVIiLYg975RV0Rd70kN82QkeOEDxyFCGVJjk1haq1FeunPknO5z6H8dpNKOfMQZabd1mEVCQSYbzpZqwf/QgoFJg/9EEybjeqhgbUzU1oly8n7XaT9rgRm0wkRoZJjAwTPnaMlN+PkEjgeewxpAX5IJEixKIIodCsrtS5cxg3byaTiKOe20bw0CFEr6SGlcVFZKJRBIkU37PP4vz5LxAEgUwigRAMEO/tIZNIzHrkSaWQTqNum4uQSKCsr8fysY8ikoiJ9faiqKoiNTWNIj8feUMDJJNIDAbEKhWGm29670/6u4hMJs3+Rx78m+scePRBMpn0u75vqVTKI488wqOPPorRaGTp0qV85Stf4dKlS296G4IgcNddd/Hxj3+cefPe3kPoG+EtEahbb72VnTt3Mjg4SFtbG5/73OcoLCzkS1/6EgMDA+/qwP6B9wbFKjmRdIbvjo6hz7j40lCMXw11MpNU0jGxg18eGmCBvo0eSQt35GfR785jm1tgf1CBSRLjp0NyLnntZGUi/KDnGJ+qaiJaeDePRkZpTgXZLKiwJuPkqfOQi9UIGTEftGooMbfQltvHEkkATyBItTZMs9LHHEHJvbIIpYktWFIKQs46rln0cepTIYoLCrnZUsHqqhsRC2nsg32IRCJk8r9ykS8qelNPJuVz56PUztZ7qVQqSkpKAIhHU4x3u4n4XYSDoxwc6MHqfxFTME5sQssy6aPU5JVQUlKC33+BSGScdDqDkHk1+51OpUhEZ2ejsY6Lb+paeL3e19hsmAuKUKg1lLfOR6XTo9Lp33Tb/d+CSlVMX6iWEpGDL5boaOY883UC67PS6EVByjUGFrRUcp1wGn1pMXeXFfApSRclzhN80ppGljWDsTabUKiH386t4JBrim0nn2DCnMvjgUIi0UnmhEfJqFr4SomODXElL9sSrM0tRyl/Y/f2wro5s9YXzulZUVaxGKlczkTX7A3yzwra8UiSk89vpfvIMab6xkjEEkRDEcY6R1BqFXimR5kZOMvBP+zBa/cQ9s3gGp/hia9/jwPf/RWTXce5uPcAZ7c/jW3gLAGXl6I6EyXZaWTSQeZX5pChmvbnn6VpdSEVyyuJdXYBr6qLvxE+1fopCrRvTQYgabLRwBi5f6eMTVlqYP/LOyGTQSL7+5+DP5+v/jP7mehxUb+hCG/iON5UgiXKPHa272DEYMSVMVBpyOa7NX87Wv1uIHLxIqmZaTI+L+Y77kAztxWSSQybNyMvLiZ88CDR7m7iA4NEOzoAkBcWzJKNDevxPPIIytZWEmOjmD/wAaQmI1JLFsZbbiHa3o6QTBEfG0dWVU3k+HEy0ShivZ74hQskxsZQNjZhWL8eiUxG/re+iUSnw7R5M6bbbiXtdl8eZ3x4mEw8Ruz0KUw334yquQnX7x7Gt/UF5CWlJKemyMRiBPftQ5aTg/XjHydy6jTBl18GwP3732O86SYy8Tix/gFyv/DPiJQKSn71X4hVSvRr12J63/tQvgWHhP8NmOrpuiJt93oIul1M9XS9J/u/6aabmJ6e5sUXX+Saa67h4MGDzJ07l0ceeeRNvf/nP/85gUCAL3/5y+/62N5xEfmhQ4e4//77OXz4MC6XC5PpjW+Wb4R/1EC993C7x3A4TvEn6RIygoAeH2a5Ap8/w6pcK98cG+OWohJKY/1UWYoYPTDKvOuXsX/ESUwroyMY4ZbwDNszGgxKG9XqFHqFkREqqFMruedSF1YhwTx9iJXdafbm5CHWe0lM67h1ZT1HJ46RDvmYjIeIxI3ojQYMWgtFvq3sS5SwWZTClcrnfQ0rkFnVDB49jshsJS9uQDM353J9U9jnRa5SIVPMFrRn0mk6u7poamp6zTE7XfuwWl5fTPPPhd2RQIJIIEEskiQRGiSrspYPXzxLwp3kg+oXkEadCJkt1JRUIdUp8XptKJR/Is/wPVRaFXrL7NN+yOsh4veRXVqOz267osj3jZBMJhEEAflbIEjbHF4q3TbKy8svk8ZoNEomk0Gjma3ZEdICSVcEiUaGRHvlttPpKPG4DZFIymGXGKM8gDMexR7xo8GLjVYO20coylyiXpdPc8qLQnmRTmEL1WVL+d2ki88UW/johQ7SqQxij59rE5eoq06woOGL/Li9j28vbEYmfv3ISiycRKmZjZyEfV5kCgUhn4/B7k7EYhMFhTnkVRUzeOYk5oIipnq7QJrH8HkXnskz5FYWkYy6URuycAxPkxbpeN/XPkznwV3IxhJcGGknt7KNkMeFpdhIwD5EOjqf6dEnSQZEFLRcg1JnRiw24B1xUaxxM/+eZXQ9th9rcwkT8TyKwl0MPHuY8vwEyvIyjDfcgCw//3Kk4p1CEAT+NLifZ0YvsSqazSevv+O162QEUs4IPZ1HsR3qpmPgIHXLVtK24fpXZC9mER8PIFZJkVmvTEvY7NvJMq/g4pFTnI7qcYsPUSVex2jGy8L8o7jNt+FPhLimoJEi5btzXH99jInBQaJ9fUjUGrTLl5GOxYmcOoksJ4ekzXaF2GSspwdlXd0V2/A9/zyG668nEw6TtNmQWq1ITSYmPvtZxDo9ho0bcP/uYdLBIImhIeRlZSQ9HqRGA4rSUrRLl6KsrSU+NoZm4UKkr8xNgb17keXlEzp4EOunPkl8cJBMLI40JxupwQASCf6du1CUlhA+cwapxYKqoQEhFkOs1RIfGkK7ahUikQghlUIklSKkUgR27ULV3EwmGsX90ENI8gtITU6S/81v4PnT04SOHkFeWIh+1Sq0f6ee563ivZxDe44d4qWfPfB319v4T1+kbum7e1xvhHvvvZe9e/cyNjZ2edkb1UBt2bKFbdu2XdFtmk6nkUgk3HHHHTz66KNvexxvW8YgFovxzDPP8Lvf/Y5Tp05xyy23vKu5xX/g7yORyeBIpCj8qxvgGX+YFnUSmcxI18QLNBRtRtDkURhdjlifojzgpri0mDlaNe9zjqKJpSlSKZmnk/J8pJitU0lubZ3tamgqMCEXgSRwlK+EsvhXk5xRbSGdsRD1qXGGpmScyTbzXaOWTPTnbBXuw704jX3QjiGkR1Ma4aFRO3cmd3Ikcj3W6Hk+Mf9LKMxKvtvVTr3lNm4ozsXb5WS/OMTu45+gqekLpN0Z8owaVHVZuKbs9I2PMFVcQZtzgoqW2dqPixcvogh60esNZNIZeo8fon75q5o3RsP8Nzx3f+6Km+h2Ih9up+z9G4HZ9ddhp54OjomKkFtLKfc/xpgtjxyRFZPpXioqfolEcmX6RGsyozWZyaTT2IcHryBQQbcLXdarNT3xSISJrkuXPc7eDILBLsRiFdMxLf5oktq/mMxTqRTpdBqP9wRqVSmRkJ4dffu4JW854goZor8gMxKJCqczgUx+nl3jcsbTOm43WhnI5JLvfYK8UIx7ahfTNTmBVF9Ha0k209NLUac0lMT2cXfBGraee5QPm5WctWkRdDFKLYWsrroOg1rFNxc0viF5ArAN+ylttDBw5gTWolJGOhzYh8ZQKO3kVWeRXVYIwMxgP8mEmQt7zxALziBTKtBmtTLR2c38624g6OnDOTGAMbeBE49fYmLYiSCqpGjO+3COtaPPbkKu0uMZj4IiSdOqD+Pqv0DdqgYy0x6Eky9RW11NOuCh8w+PUnH7XXj9YuxPPoqiQk/17QsQjYyS/bnPER8cRADerWb/dDpCnroWlbSPamH2QUBIC8RH/ciLdAjRFMET0yirzZTpG5mWd2ItKcVaUkZ26ZWNPIriVyfLSGQMIWnl8O5tLG5rIpaw0Z4lZ7U/hC7SwqNyJ3MUUmqr/5l81d8vkH8niFxsx/Xb32JYvQqxNRvvs89ivv124v39IAgglhDcvx+J2YyqoeE15Cl84gQpp5NMNIpEr8e3bRvJiUmyP/NPpP0BohfbkWi1KBvqSQwNz5LbdBrz7beTGB1FotOiu+oqwidPIqRSSP5iQtWvW4fjpz9FXjQbfRNrNMgrKhCJRDh+9CPQaElNTaJpm0uspxf1/PkkJybQLFkCYjESkwn/Cy8i0WoQKZVEOzrRrVlN2uPB/dBDqOYvQFFTi1inQyxk8DzxBPHxcdJ2B/Fkimhu77tOoN5LaI1vLijyZtd7N1BfX8/WvxMZ/jN+9rOf8a1vfevy39PT01xzzTU89dRTLFz4zrS63jKBOnXqFL/97W956qmnqKio4J577uHZZ599W5Gnf+CdISkIBFOvzTvrBQ8eTyc5ORsYUazgl91jbLQY8Ot6+bDGy9aEiufsJp6zB7gtz8xhd5AHaquQRc4hJocGnY6goo3nLg1iigcYEe/m+txb+bYowjmFmIVaI0mJmZywjiUFY1hl3TwXrmNT8j5M8T7+K2jhepGVUgPYdHlYZ5IUlHwRn6SbuDCXzw3s4t4CEyHbMMPmCMrTEuK6MO3uCv5F8zX6Zg7QUHQdqhITSVsYl9dFbXUVhWotbt2sKW97ezstLS0EXE4yqSQDZx2XyVMmk0YslhAPJpnwDWO1WtHpXqsiHfH7qJhrRbpo4xXLryupQN+6hDaRlT/sfxBD8b1oPN20tn6Nk3s7KS9/dSqdGegjp7zyskRC7/FjxEIaBk6fpKxlPv1nxgnYT7PwhltJJRPI5AoUavVryFP34f3Ur3hj5WKtto6X7E6WZ05TUNHMufO3UVLyMayWtSh8IFLKkVkXk3RGUPtiXK9oRJBlyCQT2N1upFLp5cYPrdZCVtZN/DgPjnb8hmxTCRnHTsKGOdTO3USWQkld/m3YE0kUCh1lZTloE0ms8jJMCReVTY2IRRLubn6tmKfyr1wIOg5NUrckD6lMwpEnd1C9aLYuyVxQzKkXLyBXppDKxCQShdiGJohHctGalQhY6DvxIkiaEIQQQcc0pvwUuuyrEUksOEa72PDJzzPW3kOewctgNEFljp/c6kpmBgpwjEQYPPgHKpqW4Rg7y/S5Biz180m29yAXYth1ldRka+mfDmBQSdGX5CKx+ygprybk7yPrqvVEXiHJisp312Q3Hp/h5cnj3K53UFcyW0AukoiQZauJ93tJhRMY1pUgkohRlOjwPm9j4fU3U7Nk+d/cbjLho3vHk5jLJpDnLUIuN9MXyLBZp2dcGCQklhAtqeRCKEn+39YHfUdw//GPKKtrMG2+Hu3y5fieeRbpK4K22lWrSPt8yMvK8Pz+D2iWLJ5Ni+3YgfGVInIAeVkZ6oUL8T33HKabb0a7Zg3TX/wijl//Gs28NjSrVqIsLcX10G9RlpUhUipR1tUS6+3F8qlPoSwuxrd1K8YtW4h2dZEYHUVeWEhg9x4M126aJW5z5+J9+mlECiVilRKJyYT53ntx/PCHiCRSfNt3oFu5AsOmTZfHFTp6DN+2F1GUlqG97VYCu3cjr64iPjSEbt06JNZslDXV2F58EdPNN5F0ufA++RRio5HE4CCSoiLSwSD+F1/EcP31791FeBdRUNeA1mz5m2k8XZaFgrqGd33fbrebW265hXvuuYempiZ0Oh1nz57l+9//Pptf0dey2WzYbDYGBwcB6OjoQKfTUVxcjNlsprj4SvV/7StlHBUVFRQWFr6j8b2lFF5DQwMOh4P3v//9fPjDH37dtMnbwT9SeH8ff75MIpGIYDLNcw4vHyq4slMpHrczNfUkBmMb6XSYbOs1XGi/iDhfRbE+n5QAO+w25qqSHI1m0ePuxpEU873GRYzH4iw36YhmBGKZDO5EigO9YywszOXM2AHUxoVsMIqIDl/gjNKOSbkBtyjMhekQRWUaYpMC26UJ7sgzY/X+kZr8TTw/dIYOUTn2ZIgGZQGTCQn/pdRzUOYhOn0WocRC4aiPhpZS/jTkp82pI609z/wVH8OzdYhkFeRV1SDRvXGKoevwPvIra1EYTajVanpPzhBynUKXlUUmlSa3qhpTbj5+hx1D9pXq467xUTTmLJKx6GVblFQqxWD3OPkFeXimfGiMcYRMhmgwQCySSyrWhTEnD4lcRm55FX6HHb01+4rwcCKeYP/DT7H+4x+4vMw9NUHE76OovpHBcw4q27IZPHOSstZ5SKRSHGMBsgq1SF5HduLPSCaDHH/5RsQ6KYZUPT7xDApFNXl5JVgUV6My5xKdsuEQbSczJcPp3kFuzXWQylBSf8+b+pwFUmlUYjEysYiA04Hemk3IG8M25Mc9FaawzoSQETDlapjo9VC7KI+QN4bPFqGw7spusmgwgWM8gLVIj1ovJ+hxkU6mGOv0odLFiATM2IfPUd6ygKHzhxBJIRFJolC3seiGSrb/9BdEw/kUVofJzq7lzMvPkM5oWXztHQx2DBJ1+pi7YR7xKTfauiJOvfgSQrgUvcKBLyGgMxdQO0dP77aH0TatA2UFhalB5CYjVe9fx5Gn+lm4qQipTEzAFUPcfgzJ0rWMnD9MPK6kqL6e7OIsou3ts3Yfb6FI/G8hGp1i09k+lif388k5/4RFbybtiyPLnY0KRbvdZCJJZPladv/pF1QvXk5WfiGWopI33Gb7nv0YC+oQIg4keglp3RCBRJinw/P4ekExv9zVg9XkZsuKpahU7w178m/fQSadInz8BNqFC1DU15NyuhDrdKhqa4h2dRHat4/k1DTmD32QxOgo0qwsJGYzQiqFurX18rYCe/ciRCLER0bRrlpJaN8+3E/9CanFQs5XvkK8qwvvE09g/sCd+J7firS0FHluLoriIpTV1cjLyhErFSSdTmLd3Rivv56Zr3+dvP/4DwDSfj+Bl19Gs2ABoSNHkRcV4nvuOQp//GPsP/gBssIi4v39WD/9Kezff4C8r/4boePHUVZX49v6AoII4n396K5ai5BKkZqeRrt8BYGX95JyOhFnWTCuvwb/9h2EDh1E1TqX0NGjqJuayP3Kl5EVFr5rnyd47+fQN+rC+zPeqy68eDzO/fffz549exgaGiKZTFJUVMQtt9zCV77yFVQqFffffz//8cp1/Us8/PDD3HXXXa9ZPjo6SllZ2X+/DpRYLEaj0SCVSv+meq3H43lLg/gHgXotQqF+tNpq/jgxwjydlKm0AVs8SbFKTpteQ38kRrNuNmWaTAbwj3diNM1FbBQRT4mQy2Sk02l+fPYit+ZMcCRSjNNv5INtxTw948EoSWGRRvEHB8k31nAqomK9/CIadTX9ky/RYm5GrNZi0Dfj8EWR93g5wQFeUlexSTPCSWEZdUoZRZI429wTmJJWKrJMjHm9iFKjnJOUYnK7GJJJ+Kq8nX+PlLA4bWBxrg7BbOE3fUPcnVtCTfcEVWvqOHHsYZav+yQHt76Ms6CaTWVWdCWzFbYTExOYTKbLTw7t7e00NTUhEokIn7ejbLbQ3d1NQ3Ud0ViI/Q//mnX33kckEMBnh/LWAiZ7Oimsm/O653q6vxepIpfsEiOZTAafz4fZbOb407vIqZhLcUMWMsWrkZXuw/sRy2RUL1hKNBjCfqGbpLoUgOoFOUx0d5CMKTHm5qM1Khi66MQ9vpfFN70PqVxOKpFGKpdw4JEHWXDDh2YVr+US9FlKRGIRY5cuUtLUQtjnRSyVotLqSKVC+HynsfceICSbROsuwys6QkbThI4YhYW3kVWwFLFCQjQ6TiQySfxigKz6pYgyIjyS/WRnbyAWm0StfuP2/N7eXrRkI1NKcU/2Ub9sNq3ptYXpP3kQpb4Ja5GW/KpXI86ZjMDo1kEsKwqZHhimvLUciUyBezKEYyxA7aI8ek/04Rg5grmgEUEIMdNvo2H1Jrp++zQ5FfkE4hNY529ionuK5be20X96gFjfKQqvWs65HceRKgqRK224JwaIulKULV6O1x4kpxhsHWkSsjLC3gvozBJSMwq0eV4W5Oo4MjTMypuuxxfPIys1TVquJPL8U5T/4Dsk42mi+/cwY24lYO9Cbx9EqF+NVKWm68ATVC9ZR93iFmIDA8iLihC/CWXxN4NMJsm/dg9wzDbDTzRa5mjKUJQakOgVhM/ZkViUpGbCKCtNbH3wO8jkChbf/L7XpO8y6fSsZ2DAj3d6ikwGuo+8zJYvfJVDI4+TCI5QPLqBp2RRhiV6frCmgWzF63fuvVOkvF6SMzZm7r8fw+bNRM6eQVlTi/HGG0hOTZFyOvE+/Qwlv3mQpM2G75lnMN56K9Fz51DU1qIoK0MQhMvzSqyvD3lxMf4dO/Bv34GssJBYfx+aZcuInzlL8cO/I3DoEPGL7SRcLtKBAJZ77kHTNpveT/v9uB9+mLTHS/aXv4TzRz/C+pnPkhgZJuXxoKqvx/Xgg2hXr0a7ZAkpr5eU24PzFz9Hu2IFUqORdDAI6Qzep5/GsPl6xGoNiopyHA88gKKpicBzz2O57xOziuqxGGi0JIaHCR8+jEijQd04ByGemJVEEIlIdHeT+5Uvo128+F0///9TOlC6LAurP/Te6UD9b8dbSuE9/PDD79U4/gFmC3wfnxhhdW4lZ+1+FsmSSMUyPGkJi41anBEnWSojaUFA90qqZCwap1ipQZ9Xi0Sh4Cm7B4NnHL3aTUX+SubmuAmFSsgozJTmyTB6E4jFEHC9hDjnBlaFWwjFRWhk/VQVLEQQMuwPJYgqy2gVXSToL8VvUnDUAgF/I1aNBW/aSa4izjKjkUgkwyf03RyXbuARuwdBEHh/Is7NBVH2BNwYlQZ8mhgflkJlXjEV2nFOxPQ8aszlWE8HDm071n4J1qpGRBIxpXmFrF5UStL+an91Tk4OgcApZLIaEkkP1dUWErE0kdg5VPVFJBIJzGYzyekwyhwN+dW1dBzYQ255FbkVs8J8fof9NQTqz5Gg/OpaXJNBAHqOHKBh5VrSyQwFdfMw5WnwnLyAprGaTCZJIhpCW1pJ18s78dhMhDwimpoKmXGfpXX9tcTCSTJpETqzlIO/fxGJvJaKxU7KF8xn6OxJ8mvr0ZktJONpsivWEPLEGThro6wxjcE6WweSVTQbck6nUpcnFKlUi9bbinnBSsRyCYKQxuHYS07OegKBbuRyI+JXSJ5KVYxSWYSwOo13epqswmJyuR5BEEilglecA0EQyAQTSPQKek/OUNpSyuE/7KakIQuZsop0MkMiEWXg1HFKmpeRSQsIGYFYOEH7/mFUajtNa1ciqQghEoeJhQUGz7mwFhkJ++IkI+3s+fVTlLXdinsqQnaZlPFOOxpjksmuC8TzAqSKV5N0SJjsOohIXMXRP+3GmDuHxjtvZ/d/PQKyQjJRJ3JVKYX1CiKBcnz2URZev5zxCycpbDAQE3RE+4tp3lRJ8sIFxNVXMTUVIC/Pgz9TTLHZQ3I6RCCvmvIffIe+kzPULMpDsnYthVGBbnsCRWUlEyMncLuKaNvwQRxj7Yx1XCRXayBltyMveeMI0FuBWCzjakOMfqeXdIEOdfFseivpjCAgENgzhqhBzelntlG5YDFkMliLS1+znWQ8TsjjRqHJIik7RGBERss1m5jq82PN1DCn9QNk6tM0ev3YRpyk3iPTiXQkgveppxDkCoR0mnQwSORSB7KcXGTZ2fi3b0ckkWD97GfwPP44pltvJevuuwkdO4Z//36EF1/E+ulPk5iantXXWr4MqV5PrK8PVWMj4TNnUS5aSCoQIDEwgKysFNv3vkfo3Dk0cxox33or7kceJnzsKCnbDIZNm4icP0/WvR9BSMSRqFRY7ruP6PlzSAsLie4/gMRiwXTX3cR7upn64hfJ/epXcT/2GIkZG/GJSSLnzs/WPk1Nod+4Ad+fnibrEx9HUVqKvLKKaGcXabkcz5NPoqioRCyVEBufQKJSoaytRYjH0S5bTmD3bmK9vbPdpTk57wl5+u9C1cIlVMxf+N+uRP6/Gf+/tXLxJVMI6Qg6uRbpuxhKfSfIZBLE43Z84hz+7UIf32yuJluaJJ6YQa4sZ/vYKdS6BpabtXQHo8w3avnO8DRfKssjkEpjkEl5yeljlVmPWiImnY4zNfU4CsUGBtwvYRev5Bqdjp7kSZ6JzkGTHCYuK+KfNDl4Lp4nv6iIZNEkz0TqsLnP05JVysFpD9GkBaVZQaloghUFc7Hg5enj7cyZU8CpiJ6PGbqYcTsoLdjCp9ttVOYbaZTZGE5ZGRzfgVtcTURu4ZuKRygsWo/WvI54oIf2Yz8m6ddQo9iAKydCfdYqpnq7iVYb6RBM3FaajUgrvUJdPJ2OkU6BfShCUf1syiiTTpNOJZEplCQSCToudNI8t5FTz+9l7oarUOnkxCNh0qnUFXYX3UenMOVrySt/bS95JiMwcPo8IW8AvSKbhCJBMuwmlTSgyQKH10F0xIG1yIDfo8VakkdtYwEhdwRPWE5hjYmZET9qcRxDgYloNIPzwjHEOS1UtM6mEgVBwDMdRqGWkox7MOXmX+4OTCXTSP9KlTsTT18mSW8W9uHBK7q2XvP/GRvR6SDxhI10Mkn9ijW4JoIE3FHKW2Yn9oA7SiKaxlKoRcgIdB2ZQiYbJaeyEqVGi0KlRiQWMzMzgzydYeDkKQyWEjISGY6RESSyDH5bHpFwN0HnIHprFjklRlT6LEQSPalUPl6bi6aVVs5u307Q14w5z0NFWyPHn3mOHH02nngFZS0ypgbSZMKdZFBjzm8kMXwRaZECvbaMxOAwc9ZVEnn010Ru/jyyHCuuwWO03XgDU90OdBdeQrd0KUikKGuqAfDZI3QeeIHRThs6rRRrSRHakICkoJqqNeUMnztN7SudRf7tO9CvvwaR9B1biALwyIWnyUtruGbeqzV48fEAQlrAl3CgMurY+9AvWXzzbRTUXFlfEo+miPjjKLUZEjG4uOsUEz3trHjfNZjNZfQcPoum3MC2qRAti+pZm2NC+jeK+98u3L//A45f/QqiEcQKJar584n39pL2epFVlGPcsBH/9u2ompuQmM1oly4ldOQI2Z/6FO7Hfo/vuefIf+D7eH7zEPGhQSQGI+Z77iZ67jyIQGI04nn8CYR0GpnZTNGDvya4Zy/alSsInTlL5PgxTLfeirygAKnFgufpZwgfPYp6XhtZH/jAZQuZv7SSAXD+53+iXrSYxNAQ6UCA+NgoqckpVPPaiA8MIjGbkebmopzTgPO73yP7i18EIYPv2ecQaTVEenoQ3B5ULc3ICwqJnj+PvKaGjMeNoFShKCoiMTKMbu1aUj4fsZ5elFWVWF4npfRu4B9ZnP8ZvCXmIBaLkUgkr3mZTCYWLVrEc889916N811DJBnhyZNf5/0XB/hURxdtx7u4EAizy+njhC/0nuxzKpbgL3mqK5FinzsAwG+7niWeybDV7uWJmQDPD0eJxhN8ubGKY/4w3xvzEs4oOeYL06AM0iycYTQaJymAL9DBKrMeVzLFAU+QUDLFRqsRtUTMy+4ACUFAEszCFZxmSFaFRjHCPu+z9MXlaAnTai7lWqWN08efJ2tRAnF5DscDMm6ITrMuNok3HGFtSRk31+WhlEgwx40cmXDxpE2gz1xMa1YZ4YyYl6NFSAILcXidSFR2jjjGOehLMd9s4gutm6j0TrNKqyIRacI13cHBA/t55mICmf5mqss+iV5RTWW0jYgxg7StiPr6eq6LiXHF9nFp72mSyeTlcxdy+xCJRJfJE8xKCHimpwCQy+UY1GGSKRdLb92I6pX6qVQiQfIVvySAZCJNPJp6XfIEIBaLyKsoorC2EcGiRaIzYMxtAXGG6b4IFl0LhQUmUgETxQ16EtEEo12XGO08jkIRZ+evduAaD6KMO+k/0YdSq6CouIiK1hz8ziiuyRCJaJSsAi1akxJTbj7BgwepbW4DYPSSG0EQ6D1+DJ8jQiaRYPjSGQAmLkwS9MRed9x/jb9FnsY6LmIyGShtq6Ji3iLqV6whEU0RcEUJeuLEoykA0kkvmXQGz0yYiV4PUoWI4ek43YcPMNndT8zvIxLwcenl8xz97hMMnO5n4PQIF/YewVTQyuKbrydgd2POr6KooZLSOZUUJJU4J92MtMtJ9bxIXrkB+0Qa+0QVInEQS2EpPpcUnXUd3mQtQddpNEY5KedF9GI/xSW1mKYukleuQ+OXEdj3EPL2HYw6VVg/9jEKGCcvOsCSO29FoZZRPq8AzR130GWXoayp5tjTBxjvvMTBF7cz2jdCKulHrjOTFDTMuWczZblx5EoVlfNnIwajHe24psKzXWTvEm6rXczXQzqCkZnLyxTFesQKCWZ9Po6xEYobm3COjRGPXKl46ZoYIRZ04xgZou/YSTIhD8ryNdhyihk88SiqqIRT3bvpyLHgSqXfdfLk+eMfcT300KzVicmEZvESMpkMQjSKrKCAsu3b0DS3INbr0a9bh27dOpLjEzh/+jOCBw/Sv24dQiqJetkynL/4Twy334ZIq6PwRz/Ev/UFQocOkrTZyCQSFD/yMIYtWyj+3W+Z/vevEx8awv7d70ImjchgIPDiNlJuD7GeHoJ796LbsB7JK+l+//Yd+J57btaYGPBt304qGAS5AmVFORKDAc2SxchychCp1eg3bcL6yftIOhykJieRKBTIi4tJzczg/OUvSUxNETl+gvTQMEIqRXxwCInRQM7Xvobphi1IS0qJnT+HkEohNZqInj+Pf+sLCKEghg0b/8YZ/Qf+b8RbIlDPPffc675+8pOf0NbWxp133snTTz/9Xo31HSGRyeBJJPmnC928LNnMLVa4N1/FT+pKqNYoWSwfpVk+K6o2M/MqEUyn45d/H4vGiUYniMcdr9m+IGQQhFkrh8glJ0L6VcLUH47hSKR43u7l3MWLnPKHWGScLRi9Ib+YWDrDddlGNmUbMZjNXIomKVMpuDXXzOfK8snRFbHKrKMoewVq4zJ+M3iOeGSQSEaOJ5HiJYePFr2afttOuie2sv3CJaTATCjIuHuKR2NZFMfNDLlmGBNX0hdXsCirkKGUlj67Bk9NjKlIjBfO/xvxmRPsFOUxZ9497Aol6YrMFhZfp+xEHRtlgdLP9QVWHlzQiF6u4KLXznA6m3aDmXb7NP9eLOM2eYzGqIZkRqB95jCGMitBwc/zqXn096fQRrczT5LGairBYbMxEH2aqey9ZBVYKTTmET40hW5BPlbLGsxWJYnwq8Q2nUpxqf1KFVq9xUpOWcXlv8vqFzB0qvOKdbqP+lAbXi26jwQSiP9KBXrg1HGS8Rjx8Cxh01uzCbjTlNcVkmW0UtpkITY9ilE6gVgiomDhOgJxOYELNiKeIL6AmqS8nMFdp5ErCoiFU7hFViJxGDzvoHtskMNP7kVnViCk3Iz/leCmbtWqy+3WlW2zhemF9U0IoSBDD/wanWX2GG0HzyKzXek32X/qGOlU6vLfmUwaz/TkFeuMXLqyi2boheeY7J0V8pzqd9N1ZBTvgJORYxPIVVIOPt7LuZ09zAz04bVF0JoUFNWZya+U09Q4l/K5G0n4NET7Rnn+h3+krrWQ/Po5aBRJdPosdGoTwQud2AanMZcFsJZaGWs/zaX9Z3AZs3COTCON9zAZ0zBwdoyB0/20bWoi5pmi/9RF+o6fBcFOQW0WueXlnNuxh7y6JRQvuZbRo79iQq0n4R/GPXUCXWExwrJ5mFIuJqXlaFevIuWwA/Dy72a/z6Fjx1BLp9nxw1/gHr3A6e0n8A8NE/VGaFm3hYK6KpbctByxRIx67lxSiQQDZ04yMzODzmxBXVGCbdeud01xWaUq5PeF53Dan7liuTxfizxPQ055BYlIlLFLF1C8IhEz2dvF6W2nySkrxT7SibmgiJzybEoW1tC6oJA9L3dhWXIHz5Va6C5ay+8WVHPHKzZP7wSRCxeIDQzQ09LK6Ec+iuePj+PbuROJTkfF9m0gEqFubUW9cCGZZAIhniDlcZMJBUn7vIQOHEBWXIysoAAyAoqiYhKTk8QHBwgfOADpNBKFgnQkQvRSOxmlisTIKJlIlMl/+gwpu52k3YFYKiWTyYAgENy3n/D580Q6OggePoT9hz8CQcDzhz8izcsj7feTnJlGvWAByelpQkePIS8qIvDSS4gyGSLnzxM5f25WpFStwfKRjxDYth15fj4lv/g56VCQyIkTqBcswPHDH6Jua0OzaCGqBfMRWywoqqsQy+WE9u1HnpdLrKub6JnTyIuKSExOEj5/HkVFJYYN6yl44AFkOf+wP/t/De9qCu8///M/eeyxxzh16tRbet97GX58xuZhk9XAY1MuUoJAXToBBiPxdAZbMoUUuNpiwJ9MUqQQs31mmBuL6pC8Untid7xETvZGxqNxxqMJFupSiERSpNIr2+JDoT46whkW59QhpAUSKQfui2fJX7iJhyYcrDDrZtNs0fOcSdejl0voC8cYDscRi0R8uTyPE74QvlSaDxe+esN7yeljtVnPSXcAQzzBeCRIWDzKdUXNyIQoiaSHlyNF1GmVlKgU7Dk9yGSejkKlglQoxWQqyeFAmGVKGcskg3iUSUalbUQyAvlKOTeYNGwfepZnXCKQF3FXnphwdJRodDnnoy9yVdlmzky6MVosbNAZcMwcJmRZwEiwF5G8hJ5ohlKJgDMYYSrhI1vh5tbS+fTFZCzQy3hhqgdlchq9uoxjEw6uE5/FIwtRH7+NOXnFhHVDyCdz0TblIVJIEIlEZKIpxKrZNImQyfzNbpXx8fHXtKnCbGomFk6SW24gFBqGZD5a05VFwN1HBpEq3aTjUbSWJgprTIhEIo4+3c+yW6rpf/RhKu/8ICKxmMToKJlgEL+mCPdkiOlBP82tCrRFJmR6Lcee3AHOIKa5q0hEbIx1S9BnqXGN/QnPhjvYqPSTTheTjHZTvWgZjrEJcstKEEskhE+fJqE0kpAq8AcmyCmvvOwP57PbkKtUOLtdpI6+TNknP8jAJR+ZVAaxSCBLPIFkfALVokUoi4tJxFLIlVIy6TTuyXGsJbMF432nbJQ2ZqFQzxYRzwz04XdmyC4rwpynZapvHK89SHatlSN/3Mf6e27k4O8vYcz20Hz1Qvb86iFu+JfPc+lX/4lNVkxp4wLGT+9EbpmD3prDdMc2Gq+6HsnRPcivvZmRC+P4T29HY25kKmrHMTxOSXMlkUAa94wfQi70eQ0gGyMz00OEclQqMaHMAmRyLxZlgMrKfNp7Yyh8o5RsXkRq/0HsdikVt7dw7pCcucsV2KZHkZ/qoVATxXf1R6lQTjAtTZFX0szUiQ5E0TjDYTc6c4bcyjK6tz5LQlGEc7KLigU3kp0rIjQsUL5+GaWNFjrOnqaoqAjn+CiT3R0IIjkorWTCCa66+wb6/vQs0vw5lCwoe8cK8SPOILsnPIykp/loRQUV5mwSE0FkuRpEMjGZaIquUwcYa7/AtZ/5FwBOPN+NQhMgqyCX8Y4jFNYuw+3dCmKB8qpb6T7uIl0SJ5wNRaIEjcV/W/rgzSBy4QK2b38HsdFItL0dRVUVmkULiZw8hVgmQ7t0CYEDBzFsvp7Qvn1Ii4qQZllQNTWSCQTw7dyFSKuBcASxQoE0NxdFUSHqRYvwPvUUSbuD7E/eB4LA5Kc+jciShUgARUU51k98As8TT0AigUgqRVnfQCYSwffCC8iKiohevIiivJxMKIRIq0GIxoiPjKBbdxWJvn6khYXICwrwvfACxhtuQLt4EeETJ0l53Ij0BuIXzqNqacF6330AjN7zYQq+/z0Cu3YRPHiQ+MgIlo98hPjYGMHde7B87GOk7XYygkBqYtbSRVFRif/55xBJZahXryLZ10/WPXfje34reV/7KsmZGUQSCfL3UIH8Hym8/xm8q8U/V199Nf3vYoj73YBUJOIXYzaiqQxVaiU1eTkYpRJWmHXcXWBhnUmC23MEkUiMSCSi3DNJJpWiyzPCtH+InYkF+PzthFJp2gwaBuNK9vkyl/WXBGH2p1ZbQ5Z2drLKiCGZ1BA05uJyH+TeomwSGZCLRJyOmYgJGRJpgeFwnO+U5PIRs54TvhBNOjV3FVi4EHg1XN+gyhCPOzhm6+P+CTd74iJW5TUhkZpQKgtJKmoYDUwxGIoxE/HiskbZ5vBglckoDx1kZZ6Ju0uz8SrlFBjqmQiOM+IZIT0TRmQPk0p5mQwX8UH5Mf6lYS5JdT3uiJI9fgerTetpkg0TkxsYCU6jS+1n3FRPPBzi6rxW1DI1BUoF1ZJ+nHIFdwl21hUuYX5WHg06NS9PnadIX0meZSlLZ6QcTyl4Qnk19kQDh4bHCZFi+OQEEpmMwIEJwqdts+dUJtB7/DAAIrGYTEbg9Xh+PJLEO5l8zfJUIo3GpCC33EAk4Gey7wxKrYzpQR8AQxcc9J2cQSLXoq9rJDztwNExdrlge9kt1binJqCygjPbT+IYGWLS48SWTjN+oY+yuTnkVriQypPERifoO3iAmqVtJPR6ZFIJsUPtWEVuAp4oS2/9MJ9aXE0yakKfpWTkkh37sBNbd/yydpS6pQWFSYdaKaN60TJCXu/l45XK5UikMrI1UQpvXIdYpaJmYR51Swsoq9fhuHAORU0Nrp/9nM5dPYx1uRm+6EQskdBxyUY6ORuVyvW0XyZPgiCQTqeJBm0ce2o7XUenGDwfoby5kgO/+gOWnAKiw2PMqXChcNl56RcvsvFTn0EkFqOe14ZsKsl4x4vk5ihxTbqx9fYTnxzn1KMPMqoto+foRSL+MHJTNV0DZ1BoWpjXtoxw52k8I1MoJEFEOivRQA/1JhVp1RyUCgkLr15PQ4mXlOcCQV8Wo0E/OnOKrKoKFOEpLEk/VVe3ITl2nLnXFKHDxqJbbmThZ24kvWgduTUWTOtWI5LJSApyTnccpWPkCLJUnJh9Br8jTUCoIkOU/IpacgsbWHDTZtZ8cQsQpvPgCbJy89CaLSQiIvTWSnRZc2iYPwet0YBr0o+yYRmFreUMnTv9tu9Jf0aZVUcF3ejEIfZ3zyoqp6MpeCUympgMIiQyzFl9Df1nZr8bi2+oJ6ugCpnSgLl4ERJ5GsJlWC2LQZRhzHsG78WtXLh4CJm29h2P0b9rF0m3m7jNRsrlRN02F0VZGYnJSbLuuZuiB3+NYs4clHW1s4rcAkTPnSdw5DAilQr/Sy+RGBoicvwEEoMeWX4eOZ/7LLqrrya4Zw85n/kMBd/8BoqyMiQmE2K9HjEicr/8JcRaHWKFAnVTE2l/AO011xAbHSXhdKLfuBHz3XchNhgQadQoG+rJ+fQ/kXI60a1ehUSpxPS+25EaDMT7+yn87ndQtzQjVigw3LAF0913Y/nQB1HNbSMxNk5g927sP/4xKa+X4L59JCcnMd95JwXf+hZimYzk8DA5X/hntMuX4X/2WRIjIyScLqLnziPV69Bv2kTOl79E1u23k/f1f0ezYAEyqwWxWo2iouI9JU//wP8c3p1qyFcQjUZRvkutvu8WrskycMAdwCKTcSEYwZlMopdIed7m4Zs1RUwk5ATl8yj17GDQX4M1X4JUKiUmNqJUylguzXDRPsKCkkaGZ3YgGNZyjeXVuhmHczdWy9WIxVKqNbPH3h6IkCWXUVMzW8/yxLSLZr2Gao2KVDiK0WBAIRZRp1Xxz4NT5IXS1JSYKJUn8LiPcThUT6teTTod448TAzhiEebrZNxXVc6fOqfZ4RZYoHNhVZt4eMJNLJlmgVHLD/svsiq7gM0yKcpEjFPGlZwf7uW79U1M+cdwug4yHVfyrdYaTk3sRa9vIxYbIiLKITWzEtUcEaOBaaLaSlpUAnaJj0LrSr4Q8qLJU/Jsn4IQo/SE3FiyriaUThNLhhgOVxF090Oeiejxbk4umUNeJMEScxvqyF7U/qV8JZVgg6BDjBy31MzVmh7CnRIaGhfjC5+hYMN1ACRtYRBB7ZIVePrG0SiNBEQinGPd1C+/UjVWoZahEKsJOGdTqnprNoNn7URDSRDslMwpQmU0Ud1yC+fPXUSX0uNVgkLhwGDNIhqCzj89QV5rG6aACMeYH7MujaDVoDaYcKaSNJgmkUtkZLe08cKMm/ATz1CRJ8M7M8340U7KVTrybr4OY4GRRPwCwkAnho0bkUnGiPYp6D8VQMDF9MFDnPJaWXBTG0FPAqnnOAl3NkM9HSQn5NRfXcPIcD+68nzyKqsvk7loMIBCrUbRONtBKGQyCAgkp22MTUsoyC9C3dzMTL+Dyb6ztJWuRV9kxPnzn6M36vD/aRhVQwO61bOF0H0nZ6iYm0U8HEMk1mIuKkAqE5NTbmDo6UPMv241Y11Kuk67EUlMaArLuf5D5Zx4bjdLb15DMhbDWldIzZbrOfy745AQ0GYJ1MxfzHDYjHfoCDJrKalomKjHRTI6juPSH5mTdOGdew+lzhP0pReTTvaTb2jiRM8AIkUDBrPAqF1J1B2gdt2dyEYO4BSWkpy6SE5LPvm6OK7mZTiHnKisefj6vJRW6zBYVbh3dlJ9882I1Wq8Hj9pbT7je35PXkktLVe3seMnPyLodlAhlFGYr6Js2QZSPccpNEwzfcJBVnMrhbWFBFxZ6LJUTPUO4bGNULd0OabcHLb//AVaE+OIF1aTjAWJx/TULJ41rbYPDxINBSltauXtYGXDIipdh9gzbOX/7H+Se/trkVqVyEwqlFUm8hQ1aM1mJnrCpJMZJDIxxmwVY51ufp5K8K+KKQrnzGXX84/R0LCSq5auZzTk5lAkTI7ond3e40PDuB/6LRKLBeuH7yHa0Yn5fbcTHx4h7XajW7GC0LFjCMkkvhe3IT54iEw0iqZtLiK1Btcv/hMhEUdZVkb2F/6ZaHs7wSNHEOJxIqdPo164kMjFi2gWLAAgfPgwSbcbidk8u91UCvuPfoRIoUBsNhHcuWtWWTyZBLGYeG8PujVrUDc3Ezh0CM9TT6KoqUazdCmRo8fwPfc8+d/4D+Jj4yhqahCSKSY/91lkBYWEDuzHeMONSIxGBIkE168fJP+B75OyOyAjkPulL+Hf8RKCSETo0GGEVArbt/4PispKpGVlJIaHkBcUYv3qv6FbuZLw6dNIrVZSNttlPavsz3/+HZ3/f+B/P95VAvWb3/yG1ta3dyN5L5AWBL48MMFtOSZyFFIqtGoennTSGY0y16DhoNvPVruPmwQ5duMasvPCHHRO88FsEW1GE8mMQExIYs5aRjSdQW5aiz81Gxn4c4QgJ/u1hYFzDa/aJCQzAuHAeUT65cjFYgZFldQkowzFgpRqLdwcl7FufgkO305irEOmW0jN0I+ZktVhzFrKSkkHbXPu4P7uUzSm0lQWm/jD9Bg5sX66dWu4LSjGU17JQCROvkxPuSzA/ICXc64MkqxybsnRs2/yGAd8uawzraUtS+BIQMRRfyHLIzaCBhE5JhMHRVaapBJWZ5cyFE0gDpzgeHoOzkSSzwY8NITH2WCo4KTrLJ2yZsQjLzOWKaMgHuKQyMT8HDkTshQlphKeah/kwwUydrp6+Jikmb15MuYHxrHI7RTFjqDUf4LJbDOTQRWF2WYUKS2xsA2lJhdpthqX+yDGZAsxUQRTcRFWkQiltoJIJMLU1BRVVVWEfV40RhO1i/KIR8IAJMbGKGvNJRTqQatpRiwW09XdTXVFLYWWCmYuHMEXMSLKrkKm1OP0j9N83fVYrVYigQSSTJzp032E1AZySlUUNReg1pfy8v1PU37tUvKDaRZ8/z46d7Rjzs1GMgZeq4XMeAC5VkzbxtUMXZjCKMkw3DmGUtuKOVeDu2sCrTRAozWF+JCNmYJlmEsbuPRiF8qSOHNuXEwKAbVMTnhqEofDhjWWYiKeQ16dCrFEgv/oSeTFxUSlGVKJBIGLNpRVNdjr6pBFIpRct4rwgSFSgRCxoQAXY1JKs5owrW8h3NmNa9RHVrkFMgJ+V4KZIR9SpRnlTITpSJq8KgPaeU30bL/Eko8sw+uwQiSEsuMQHY9P06j0kcnIkClUBJUCIxfO4A9qkMb6GbooQHmQuFxEMqOjZM5KZp57AlPzcubechdDey6QKfQQ3/ciU+X1WM0aPJNSpoaPYzCsRFDYUOnCeE4HkSDDEhkjlZ2DotiMxJcgL96B78dbGV/7RSS5OSjFLpbc2gjnj87KEXzwg7PfyYxA5Og5JCdPMDZ2EZuQIXppH6lonOz8q4jGimi5Wok5ZEc6tw2p0UDg6BG82dmk0xakcjF9xw6i1OYw95rriYai7Pzl72hauxTPeAXh7i7yBTHD9gGCo0oablhKIhZ92+QJQK4wIcvaSHXgNL5RC0Iig/gVMdXwORu9/YcQicRkl6+ATJLxPR2kc0qIBUf5nE6EyuRDnc7QVr6IjKSEn6STTI33sLEkjUvextv1h7B9/wGiXZ0IiQTpgJ/E0DCmm28iMTxMvKcHy8c/TmDPHgJ79pCYmIRMBqnRSMnzz+H61a+JDw4i0eko+tnvLm9TUVaGccsWEpOTs2KXpaUkp6cv/19WVIS6rQ15USGK8nIM111Hanqa8MlTiFRKtMuXo1m2FM/jT6BZMJ/4yCgk4kgMBlJjY5jedzu+p/6Eeu5cMv4AirpaAnv2IlarEWs1BHfuxPKxj+Hbth00WkKnTyNWqUiOjSEoFIROnkSsUhG5eIHE8DDKxkbcv/0d2lUrSTociCRSNPPnEzp0EGVZOWKDgcToKGG5nNCx41g//SkCu3ajbGhA/C75Jv4D/7vxlmqgPv8GjNrv93P27FmGhoY4cuTIWyZR71X+9gfD0+Qq5QTDYTZrZOTn57PD4SPpdtIviJibbQHEOBJJ3p+fxcDA7+lSXEWF30Vurg2pdi5d7m6WFS7nJaePUDrDfL2GMrWC/nCMWCZD0ytilrF0BuUrN75gKs3ukX2UWxdQJbWRymTQaGuRi8UkHRE6fQ5OSiN8oryeVCqIw/EysZiNw/KbadGrCB8coO3qOk46zjBiB4Wpio0lFsTALqeXjSYZE6MzXEzq2FgpIxUdxGBo5r6TJ6nNzqZWmc/OaQ+FejeSkJ2gpo41YhHNeQG2BwxclZ3P/tFdFNusnNa4uSrehL1AS4d3Gy0ltzBHEeZ3Z7dB/nIa9Aam3IMMS8uxRHq511ZMZn4BT5x6kmh+M6GgnqBJTq44TSlB9vkk3FBdDEIK3/hPOS3dQGVoAo84F0lOFRsT+3BP6FEmvdRcdQcTw15a67KJdrlQ1mVx4vkjLLlpxRteU0EQ6DtxBKVWh0qnR2M0oTXNduRFzl9gPJ5N2VwpCsWsVMBuhw/VkQ7yCtREI9OocyIMHbFR0LCJ7Bo9MpmMYDCIrX2AhuVLiASSOCdCKNRxVDoT+ZVGzu/cT9ncNsLHXiZjtRDwBxCbWghOtlO6cC6Ozgmi/iCmqiJ2P/IbyhY3svHOD3JuzxjD5xwsv60ad28v2ZkAiVQh/eNO8k12UrmtFKUGULW04D90mEtDXlbcewOy3NxZA1W7g0w4jLy+nsFzdowpJ9mL5jB0wUUkmCDHc4nsa6/Ct+0lVI0rGfd0UbVwKfGeHpT19XQdncKUo2HgrI0i5wlyb1xHajSJwz5MRBMhbjdQvamVdFJMxB9HY1RwZscIzWuKCHpiBG1+8nq3ccIZwlhUjKl6DbFwOzKfk44uD3nFdfh9USK+LCSRfcTjEkrr64mEzSRSEqKZMZrXXkW8pxtVQzHdLx3FPTOAXKZCpF5IMuFFoZtm7tQQ3dnltAweQ7nhBkru+yDt//wVMhIQ1nyECmuQ6IGXSXs8eKtXoWptJWOfQXDbyVlQQtevfolpy2a8U0YGLxyiODvB9NQUEW8OW775aXzbtqFacw29J6eoWaBFoRTILq/k1G9/R2lBJT6DnIrGOfSePEr96nXse+w49csbaN/WxbI7a8hk0kz1dqMetKGRCqT0WlJFFahycpFGYvjjGXwznRQ1NJFVWPS271f2mR14j/RTWHY7shwNoQkX04lhJFIJpc1LUColuPun0BTn4RzvZWrsJPn1ZlSiVZhy1LgHQvzz+AA/yMsnv+2NxVL/FqI9PYRPn8b94G/IhMNIi4oQqVSYt2wm6XAgRKNkkimEVBLB5yc2OAgyKUIyibKqGuPmzejWzFoqJW12ZLk5f2ePryI+PEzS5SZ46NBs91t5GYEdO9CvX0+stw95QT7pQABFXR2ZdIbAiy+irKtDWVaKvKKCxNAQqrlzycTj+J59DmV1FWmvF5FCiaK8HEluDs4f/IDsf/s3xj90F8rmJpIzNpR1tSRHRsgkElg+8AFSweCsXIFMhsRgQNk4B8QSVDXVpJ1O5OXlZJJJ1I2NAMQGB/H84Q+YbriBTCyGeu5cRLL3RrD0jfCPGqj/GbylCNSFCxded7ler2f9+vXcd999lLxLYnPvBj5SlM3FYBiHSIfMrOOIJ0h/JIZPqkIRPM5F3yI6Iym+VzN70+szXMc82SR6owy1ejFSqZZlhcsJpNJMxRJ8pCibSDpDMpGiWqNkKhpnu8PHtdlGdrm85CsULDBqCQX8ZAfllEgH0JXNKjmnBYFDE4doNWTRr8iwTC1jOGDDkOwjlfYj1tZTQIYysQzdukZ+cu4p7mlZydI8HUPhEFunJ8nXmJif3IbHKUWnmEM44mHryBinwtXU6U5zTXk9BonAr/u7eGjRUn7T28vn2jYikcgZi8b54eAZnIEIt8hymZe/HL8E2rKUhH0JfuFxc7NhEwVKOY5kjEv6hdySucSIr4Gq7hALFznwRpz8XlyMf8CGyTAPhSSGNDPDl7PmMhSOkYoeYMv8G4iOOQkKJzkfz+c/mufz/dNiiqUKtrgTPJVoorylmN+17+N+x4sUV8z6GakaZjvkGpbXXL5+fq8HhUp9RVpYJBJR0jgflU7FeNclxFIpWpOZ/tM2JJIEtYsLrvgMzCPNSMyBUlmGXlcKI6Nc9b67sNkzKCVKhsf6yJqcpLxxPhqjiumBAGWNZqb6O3GOTmLKm0vDyuX4bBM4FRLys7KQpJLULilkekBEyCdldKiLHGsNOWkfH/rWl/ANpgj3eZl3TSlR1xhH/tRPXnmSgoYyUkOjxJJK4nEDZbV6Qg+eoK87RvaSeZgOPYDU/GFc//VfKK9ah8yoR242ETlyGKPCQMI5SiRQTmlT1isaUbM+TqabtgCQc1Rg36M9XHVXPQDF9VmICLN4SzFCooiuP/6O+lVrKTTnsWevE70uw8DpESInn4Py9WQnp1GrShnvPIE5rw5Dthi3fQ6KmJe6lnqCIhEzfzpM+e0byJtIMtOboKI5ga5gBq+tiglXiHnv38BIu53+7Y+hzlvA1ICTmHsa1VkfmiI94vQiWkP7OCcK03x1GaKClXgG7JQajAxH1OQZqlB84xsUzmsk3rQM79l+OkeklJpzEaan0A0cIFWtQZ9JMKkvxf7rZykqrcXaNA/fyD4a8uTYp/IxVVyFpLOPE88PMX/jBrwTfvLL3Ih8SuwTXowmK5FLXfR5gvgVarxDk0z0t+N1OvvyEZ8AAQAASURBVEjHEsSCuSxcLCMZj5FVWMyp51+myFKCS2nA0z5OjizC0DO/w2AtYsnHtlDatIl3Cp2hgZOZ3UhmuiktW0wqL4Mhmk1eRTW29h6yC8uxzpm9vw72jlHSsIroTAhDmZLhC15giFqiaMvffreXWKkkNjiEqqmJ7H/+PGKFAt/WF0hOz2C4+Sbk2dn4d+3C+/QzGK67DkVzMxK1ClVTE4ryctJ/4UIRHxp8UwQq5XKRDs9GkdUtzQRf3kvc5SLe24tmyRKkeXmoFArUra3E+gdQVlUS2LUb/dq1kMmQtNlBLCYxNo40JxdlbQ3axYsRGw0kR8eInD1DrKsLQRAQlEomP/qx2WjVs88iiMVEjh1HmpdH9PwFRPfdh/eh36JZshjkcqz33EMmEECsVl9BigK7duE+dw7d2rUoKysREklUzc1v+7z/A/934v95Ic3tdg/twQjXWA0oxBL6piaJZ4aoyW2mx5NicV42cUGgSh6mP65B5ZhApe4B0piyt6CSiHl81MEcs5Zz/jAz/g5uSdUTr9DzstsPgsDHcgXCwSG2+gu4LTeBzb6dXtbSHMqnuCWXmZnn6ZCuxpeIkRTJyJfLOOB2UqhUISPOwtQEZfltgA+/vYOEvIV2qZIlRi0ZBH4xMsr5YILPlhUyGUtykzHJxQt/wGw08Mt4OfJUms3iHjxFHyQWClPl20+45HpswwGac89ywllJo+YlJnW38+zIIRaFjWyafxXfmbITB3LlMjbnmBjutJOJhTCU5zMmuDjsTnFDLMn7lrbi87mZTI4wLK5CHThCbqyMg7ostkgHcQhRxt15rC3MRWPScuHch5CG7+a7xip+11TBNzoHqcsIqC1m1mYbMCvk+J12RqeO09xywxXXa7zLTWGtCY/3EKOX/NTMX3uFEXAmneHc7jHql+ajMSgYOu+gYm42vSeOA/lIpCqq5r8iVJnMMPXyRdRVVmxHu8gvkmJcexUA0Y4OlHPmkIimsA16kKnkpJMChbVGOh95mSJzFE9AoPSO6xEEOLt9P9Ur5pOJSjBmq7EfvcDpl0/iUxpoXtRKVn4uox0ukrEZxrsGWHvXDeSXavCcHef4VIbUZAhtaJK2FRa8+hJcw90oPBEc57ey6Avf5Piv9pCtC2Kpq0WanUPaKCP+0H+SuObjNN7QSv++Pfimw4yNxFnXqsN43eyEHQsnScbT6MxKknY7Jw54WXpTNaOdLoqKZfiG+wmNupimmkWbyxnffQpdQy1DL+9iztUrSQ30cv7AecZiWsqalzDTPknpylpiL/0BdVUpo74iSpvMKLKUdB7qId+qo2JZJQMvdTITMaIxKKhbkiCZyoeRMKZcO2fO2MlTBxiYDhMXsqmvE9F54hA5OfOwOQPUN88l3t2BefMW5GEnl9pDzGmRYYm7uDBhI7JQhu7FCQpFYSJKHTJdBdblbVhzpPQOQl70EsqsbA5s20FLRT2Xpp14Im5SoTRaaxV53gmCheUsXlZLuLufVNsawuN2apcUEBFpCXpi+JxRNFox0b6jWLLy2L7zKPlZapbfeyuDXQmCtmMsvPEG+k8dI9YeJu4/jyPip+nWD3Hg0T/w/i9/GWF8mBOd51mw+XZEPZ0kC2swlVzpT/lW4fVOI8RtmHKaEYleFX4MelxM9/ViLmjEMe5Hrh/BMzVFRggxZ9EdvOT1UN5/kXnrr2W8y0PJnKy3vG/XQw/hf+FFkm43uqVLUC9ciKK8AllRIY6f/BQhEkZeUkrw1CmkOh25//ovRNvbUbXORV5cRCYaI+V0oCh7a9Ev3wsvkElnUFSUo6yuZvpLX8b0wQ+QtjsAgeD+/eR/61tkolHiQ0Oomptx/vrXSE0mdMuWkfL7CWx9AXllBSm7nUwqRayjE0VjI4neXkRKJfLCAsQKJcrmZsInT6BqbiE+MoJYIiba2UVkYABRIoHuqqsInziBum0uphtuRD23Ff8LLyCSy9GuXUvgpZdQ1tdDKkW0pwfj5s2IpFKCBw+iW7XqLZ/zdwv/L0egHA4HX/va19i5cyd2ux2TyURzczP3338/ixcv5sEHH+Txxx/n/PnzBINBvF4vxlfkYP4SO3bs4Bvf+AaXLl1Co9GwYsWKd6xd+a7WQP1vxYVAlI8X5+L2neeqXCMdPoGxhJKl8jClKjlisZhx5zmismZ0ajd7oyX0ziSxBvrZbC3khriMX3TPUFJi5AZDkPLCHB6ZtFOtlmMURbkw2sOQr4QdqSlCiRipZDkBlZHrWnJ50eFjSdZ1SIIRkiIpnkSSHKK4nR0ksxpYJB/leDqbCjE4/f38IlrJJ3JMnJt0skgVYMJ1jPn6xXyspIT9ngCrRYfRam7EWXwNFbJB7pIUc2L6FBOJCJWBKX46GcCilPANg4aSRjWnR/yszB3hl541NKPim3NvolSj41S3jXha4Lo8E4IAbRoFU+owuxRypN4A6wpzaYh2klJ28ZOjAndpCnhM6udjpXLOdoxiMcxBrRZRVLoCTzDCHG2StG2c6GiGhvqfEE7pWe+bwXvxMAppPoZAmEH/VvY5rmJTVSXDnS9iLH51sokN+ZBmqcgu1SOWiLFYVmNZc+V1vPhyDyVzDMzfOOub1X3kAIVyHRdPu7Bml5JXljf7lCkIBN0uZAoF7S15NDhPUX/XFqKhBDArcRAJS+n9/WnKWip4asxDnXOIGrOIzqEEBaVZKHMLKVCrEUvEhHwxQuEcpsbsJE4NsWdmmFV33oa2ZIJiawUymZdkIkky4SEe6cFSlMPQ0SP071FStrgAoRzUATkybQ6jTgX5BWni+Xmoo2cxSlSkjxxm8W0N9OzpZtShRPf7H6H54n8gSMwUK+24H3uMLJEI94SCxrIsYu2nORvNJ7tBg8ViIXz+EoGLJ+CG2yidk6Br5wXK80UkeqJYFi7AP3OehfM0xMIpYuE02Qk7kuwsfGE5vdO5uBRW6uYtwBgfYjo1idytIagtpfnem1C8cBZ9YpQZbw5tRX4GpjT077KjrKhkfnqas+dsDBzzE/LF0ejEnGkfpXLhMpTmQSpKsskJj3HknJ2GjR+j/+QZNNZ5MDmIpGIOelWSwKibxjo5lw4dZ/Nty9AF00SOeDB/aDPDW4+Sb8lFU66icEkNE70e+s6eoyu6H4N+CZKwmr4pF8aMHptPg1KmIRY0IC7NoS1yHtGYFEOJFccff4b6xg1MTCSIRbNxbPsFFZtuJ+4RMzEmwRGaxGjVoTMZOPPbp4kaLBimLzFVXkyxNZexhkliIzksX383F3bvYMG6OxnvPo/c4yO/Zj32kTjl8+ZhG4++7ZqjP8NgyOap/jHyjv8ErXIBjrO7KVh8LZqsMspa2ug41EesfYBUoZyK1gWoc/J4fMBG9WSUjHVWhuPtkCcARXUNyvnzkYyMEJ+cIuXfQ87nPocQi5GamUaSnUPo9GnUDfVoFy8m5XBivPFGop1dxHp7SU5Mol9/zVver2bRIpKTk8THJ0jZbIhUKlIOB4m+XkSvRJ7SwSChQ4fRLl9O+MRJVHV1pH0+0sEgsY4Ocv/9a/j37CGwaxfRnl6kRiOCQoHMbEZiMqFdtw5RKo00N4fQkcP4nn8eiUqJsqYGidGAsqQY0/veh6qmBqnZjOWuDyHWzNay6jdtIrB7NyKRCOOWLZfHLa+ouKxK/z9Jnv47IWQE4iN+MsEEYp0cRZkB0XugcP+XuOmmm0gmkzz66KOUl5djt9vZt2/fZc/dSCTC+vXrWb9+PV/+8pdfdxvPPvssH/nIR/j2t7/NmjVrEASBjo6Odzy2/+cJ1LU5Zo77wvxhyslt+a0YFTI04gIk0QTDKhWFKS8/m0owHslhtX4SdI2kPHtYLzrMDnsd352p5t8rpinUXsNGq5Ez/tWUZAQWJF6g3LyWYHCYb8QKyJef4TP5BbzgSvOF8loUIh8zM88RYyWqDjdr23IYmJxkIm6j0lLGupIGZgQ9C7NX0uUd5V+HXWww5DFXHaJEpeC4L4ROrOMD+deze9rPs84Jflpfila8hYfOXkSfLUftXMbjsSPcW1xBhegG7PGXuK+kCIWqhpdcAZxDj3PD3HuYSsB35GJe7N/Pg+N2rsqrIqrWkT8+TaXyDMWVX+U5h4OavDA3p6s5HI1yU66ZVt0CpNFqLubKUWTpOHY6m+ZAgKbKVUjiCgo8uwgWvx+RYy9HvQ20JcJklfSQHA9wMrWMOeFu7vPKubZBzaRnLxOWTZiHvIQrRqloWYFG86r4pbLCCLz2A5nJpC97LSlVTsSS2Xqn4YtOqhasYPrsMJVz8lFqlGSAn3dPsarPywtKB+lEJznjGX427yq+OzmD2Scnq9bAxVSQEhWUNiqJBbrQ55VSn9OCZ+I8dcvWEPYJaKU+0j4fAFqjkhU319N3/CB1Ny/F+c2DqEVxPHY3BPTUb5nLoSdexjX0AvO2fALXlAbEIyh0SkYPHiAvx0girERS3ExRWx72oV5yKmsR5SkZnZnCPwq543vIW9RG+47dWG75AM6nniE/42NIUkfDijp8zz6LViVDKMxD2rYF84u7GcvkIR0YxGZoIpXdgnoqgMXVS0RZRDyrhqyyWYJaubGNjmfPIStIU3/7cjx7D2JQ5pBwTyBXaCkubcB+pIN0pRPkcVIT4zSYbaQ62yldWMJYt5qJ3tO40gLr72vhxO8P0nWwh+ziNSy9qZRzRz0Uzy0ktyzIZM98ylut7PhhOxWmIww3mBDJtVhNauwZEzGGSBvMLFyuI+4ZwXjtEs49sYPSklzsGStxqZ6iOTKcx8MY9IWIM2LEWYV0P/Uyno6XMRTUEp0wMu0bJCYNILcHESkrMRZb0Lj6USv9lOAjnVNCR7cdoaCEIoORoNNBrsND/qpVpJoaGTmyD8Gso6a1AglFRBwmvOe3ElSoqS+di83tYqKnC+viFSCRIHEbyDhcXPXh+5jYuQNz6xJ6jg3TtnhWg0wkEmFKTuN9+jzGzcsQvc0iYrFYyo3lVZwbT2DrG6SotY3SljISMTVnd01htGZjuqYA54Qb9/QYQb+IpksTCDoxienA29onQGDPHuITE6RGR8mkU6SDAaz3fYJMPIFIFkfZ3Ix/6wuINRrk+QVoV6wgOT1NYnIKeVEhSZeLyLmziDVqtMuXk47FSNlsKN5E+74sJ4dYdzeKwgISY2PIiwoxrF2Lx+FAs2ABsZERArt2QyJOcmoS7x//gHbNWpJTk6+MfS+6jRvxb9tGfHgE7bp1yC1ZyPLyEet0GK/dhH/HS0Q7LpEYn0AQiVA1zkHICKRCYdLBIPlf/zrRCxdIjI2jW7XyMnkCCJ88hWbJktfUNYkVird9vv9vRLTThW/bEGl/4vIyiUGO8boKVHPeWeT1jeDz+Th69CgHDx5k5crZTuKSkhIWvNK5CfDZz34WgIOvqM3/NVKpFJ/5zGd44IEH+PCHP3x5eU1Nzeuu/1bwv8ME7j3G+/OzsCqkHJk6RSLhIS+8hy05JhrUGc64xjBLJXy3qgC1VMOO0UmOBLT8VnwPMmU+jXoJl1jLEuEikhkvq8w6esNRzHkfxO2Ws3UyiyKVFFHMyp54BauiESyGOizGuXzf14ZZJmNXgQxnPMmJyDB2mZJibRbXFlRyR76Fc8EIJ1zjvM8cZpkln7JMH79tH+HHhbk4vZN0d56i0nmeBVInk4M/5iVXgKvKpeTHjvOvkggLCldhH9Mz2v0Mw/FcSs0mKixNXJttpDFbjejsSyw2ahjwhXlaXc4ZURs/Gw2Rkeaxsm0J/aZ/wiSTsizLgl5VgyacRhZK4QzH8MViXOj7T64xy5FmgvxMfpJ1ai3FaSmCykurZjmh6RjOrlpEyEhEshkZmo8ytpyk5yCnRG582hIen/Ziy1nOp8orqbFMcSmaRaBbTM/RxxjvOk/HoQEEQSAWTpJOzqq5pxJp+k9PM3j6xOXrWLt0BQbrbHquojUbmUKCpaEYrUGDVCphuqeTwoE9tM9T4M+K8zHjWlatX8+N2WaSyQTqnAyJjEBQLCGZUFLe2kyux88NRgNVCwpZeNP1DF/0Y8hWEVZaOduv4dgzA0z1eUgl0zSsWsOxFy/SuHE1gaQPTTKBudFCtN9LMhBmzlWfYujsDEHnIVLnjqApEPCLLXgiCoLhCMozuwj2j6AJJQj3DeKYjGGqW4O+IRv9+qsJKhupTUQY6txHWqtAXZBL0H6RuAjEDXVISgtBLWako4e4UqA4uwFPzxhVDVparppDWUsVubfdTsXcJiKP/YaebRdI+3yMdHiRdZ0gz3WeE8/04puQ4xd02GISykpc6IeO0HZdBRXr1mIstlJ5z3U4w2rGYrmEn3+GvBwZORITYY+dXQ/vonlRGbXLVmGPnaf39DRiSRZ+2zAduwcJdg4SmDyNNjfBDB5GzpkJeia5cMBGRNBTZMlBXl5LV3sX7ZfCHPtTL9poEpWxgEg8g3/qAvJEmLTTQSY3gUMu4O3opb+jh8loKc7uAUZGhlBM+RD8RlKhFEJaTCh8AYspzapv34EvYyAUEZGWZSgLnsWWDtG45mqUOTlMPPAAIqUKRdMKqqxW7CfOET13nPIqH6msVuSaeUx3HUQ8eR6Nupm4voiqBYupXVdLcnSUyLlzBMIiel/cRWOdGZFIRO/RgyQdDhw/+jZifYrA3r3v6H4lk5pxDgbIpBKgVKIzW7AUaimuz6J+WT6Tx06jTqYRS8TMDMZJanIxl1Yw79qVb3+feXmkfX4yiTjSrCwM664mfPQYoePH8Tz1J0SIIJlEmpeL+YMfQCSTIS8pQSQRz9YfDQxguvNOIh2deB5/guiZMyTGJ/7ufjPRKIHde9CtXo26tRWpyYxIrmDq379OtLOLTCqFceNGlDU1SEtKUM+dS+FPf4rvhRcInThJbGAAQSRi+OZbQCxGu3Yt6elpDFtuQJafh1SvI3rxIknbDNHeXlLRKCm/H//uPYSPHCE5MYHl7ruR5eWhWbYMzZLFqBqu9B3ULluK1PROY4v/dyPa6cL9h54ryBNA2p/A/Yceop2uN3jnO4NWq0Wr1bJ161bi8fjff8Pr4Pz580xNTSEWi2ltbSUvL48NGzbQ1dX1jsf3/wsCNUenZplJT1RezecGAnTI1nApGMGV0eKMh1BIJDw/eoxr8opJiWb4bpWGL+fNsKKgnPm6PuZKj+MP13LG7uaFru0UJU4iCewnnT7NmhLIEc2wrrqeUsbpyZ3HU9N2Tvb9iu9WF+JOJlkiHEKSiDGTLmJalMVgOMZgJEZPn5OzriBiZTkBkZXDl4Z5wpfDiFLChCRDibWE49F9LCi3skFjIx4bYbVZQ6G+hHJdHhHXNOuy1JiyjtBlbaPLX4BRoeHYTBenR17gaXcD445LjI7uwW9Vcm9uDjVpDw/WNXHa20uDTsPi0YMkkz56Q1FOO88yDxlzlZ2cCccovuTnMeEmbCkZqZ4UB5SV9A78BofqJBWFeUSnxMjlYrKKo1yVdwKDOIMzNcq/pwV84lWYo/O5IS1ii2KMXLlhtpMxO0P+ySOotXKyShehNediLbIwM+jAPeVhss/LyPkZJp7dRyoJ1YuWveF1tY8McXHPM/SfehmX6wBS/QyyqlpCM16+2riSsXojL/TaGR0aZfdEghG7k4GDx1mYkKM1mXCM+ZGuuxq1QUEqM1sKWNZsxTUZYugnj1LVBnq9mJm9x5k8O0b/w88jZIJgKMP7zD4sc5ZhysvHl0qRVzeHeKibxTe10GBV07BmJR0vvogweJLChjpMuRVk3X4r7qiaaaeIzud3MNk98P+xd56Bkh3lmX4655z75hznpsk5aJKyUEBZiCAwYIIDZg02YHuNbWwMGEwGZSSUw0gaTc7xzszNOafuvp1z7t4fw4rFYIyNsFnQ86+7zzlVXafr1NtVX70fo4MpCp5R0lIx9vQUbN5EzYo1mO1mljVy1t66k/GxOAGdE7XcTnJeQGQ8imDVNpxtTmr/+n8httvxXQ5y4B8fIZ9IoArNUvKpT1C3sQKhUkl5qxHTex8g7/MyO36M+YyAwrEXSbtEnH5+nqqbt6FyWhk6EEBjW8vF/QvM6Fej1wvwS0sYXVCg62hHVYSitIFTlyX4FpXUVlxDLKQhMn2MZNSLzWKmakcJo5czaKR2sssZTDJoW1lDyJ9FZvbijk8jTy8j6J2ldOAVymrU2LNe5I2NFARisjkB0alZSlfbWTwzQvLya4TyeVyeGZYDi+TFIFHokJWWotQ10CWSsvO2CkQGMbG0lIlXL6Coq0XhGkHoGWNqJkr1/R9goHucRMtGXJoaQqcm0CsjGLfvwNDSgWcmjE0oxqA0UVqmpuW6PSQb6gh7lhAOX0CmVCFXq0m//gapqWm4MkjL5g3Iqq/G+jRt3o7YZEIgFCCvqUa9dRshz1Uz3GQsQz539U/B2EU3hXzhlz6rfAsxJi97ueae7VS0rWP4nJ8T4TjeRBqZUszQqUXEteWY20uYHtAz29/L3PBRalbbUag1v/TavwyRxYLhjtsRGYwIZHLysRgCuQzrRz6MpLSUzOwsYpsN9cZNRI8ceeu81MgIoZdeQtbYRPDJJ0mcO0fs+DFU69cjq64m0d39S8sVyGQgFJBdXMT/yKPko1GEchn5cJhiIU/wmWfxP/YY/h/9CP/3f0DohRfwfeMbkMmQ8/tJDw6R83oRWywoWlpxfPYzmD/wfqIH3iT00suEXn4ZkdNJIZHE8rGPkVtaIjMzQzGTQVpfj/kPPoSyq4t8MEjwqafe8l97h59SLBQJvTr5S48JvTpFsfD2h1OLxWIeeeQRHn30UfR6PRs3buQzn/kMfX19//HJP2Fq6mraqy984Qv8xV/8Bfv27cNgMLB169a3lgH/q/xeCCiAcoWM+0ssNKgVHPaG6Q3Moch7cBi6uNdp4p66HQzHkmx1diDJGzibFNMhWabZvZsLg21E9GquiMZZoapCG1/Nj1xSvhMxUWtaQV5SiTy/zIO169kqn2OP9Aov5TZyzBdig06FxbKbyZEDbHS/TJ1wgVTGi1IkpKvBilkpRUuCleo8U+kkRVkl85E5vj/YwxX3GI0aA29OzpDNjuNTbuS788ucXTiFTKrjn1eWYZTKmZdtZT7lYbPkJMJEgVjCRXpijNpskodNNp4NKDk/7EErz7Ozuh290crOsJaxsQXOVGxlbCHIlPcMncWzuAU9OJRZhKlJTmoO8+jqWnp6h/BXK9hraCMdbUQuX4VQocS9ykJA4MdsnGGqUMlhZYpjmQX2SjKsrTBzRuplxKxEHS5hcrGHVZ4YdcH1yGtsjHUP4J9dJJtMYC5VodYL0BgFqA0yHPVmqu7eTXmLkXwuR2BxiUQ4RCaV+5l7KlGqkIrSLE2exj8hZl9PhvRYiBUeIRMzLyEXFxE7TXy4xESLUUV6YBFnUxWvLgQolCp57PIcL75+gZC0yGdO9ZNKZhFLhcQCaQx3vIu5oTBLF8YIxObwDh3GfsM2NAYNmZwA5Z7bkRp0pOfmSU1NEwsVSM5Bz5vdzC4uc/FkhNV7b0O9+l4GXusnJ1Iwe/RNPK98ncXxKJK2nXSVqmmInkHcto5jX3uUpF3PyOA8kpiLkko52jMXif7oKRSaCKGXz+Jc20Bi4QxZR5HZERn+vikuHlgkoipF1ayjbONmcv4Ag8+dB6EQkcFwdSkpkiF6fAnj+97P2p0rMauXmZbYqF5pp7UsTsbrpfvgMVq2GUjMLWIpU9Gim0ejzDAZXmTq1I8YHjyLqn478tQAmYCHdOQ40UCKph3V2I0WLKUm8m4f3oEFNHIdiYKKsrodNGwvg7wZrSBMLhilUm8is7RMThzEfMNetPOXCauq0fouoXj1X1i1w47O6MKuEaK3qFlKSpi6MkoxW4NGLiCflCBXdWHMmdlyTSUr/vR+/Keu0Gkqp+sD26na3oxjeycTZSUIbF1o23RkFgMsvXGcCy8dglUrMN3xXuJXQnS/chjB1AIrP3wT4fqt6NqVBEZOcPb7T2MuqQKllUXKyHm9jA70ovjkF8jVdTEbMnDmkXOEZ5dZ+uxf4PrrvwaBAONf/z2nTpyjIBGx9JOMDLFgmlHPOKlcivrV9rc8nhaGr+ZqTA4Mkh4fJx7+v/+ui5RpwkikMrIZHZvffT1l7l5Uc3GOP3KEiM/LwqiP04dep6xZQTbponVrBRKJiF+H5KXLLP3FXyBSqSimUuTDYSwf/ehVQb5qJQgEqLZtvWqSKZEQeeMNPP/wD8ibm5FVVyOrrMD+mc9Q+dijaLZuRSAWIy0tQblqFYnubjILi7+wXIFQiHrjRmJnziAQixCqlET2vYbEbEZWXkHO7yd69Bip0VHSXi/LX/sXUtMzKLq6qHr0EZQb1qPesAHrBx9Cu30bsdOnCe/bh8RiQV5VRTGbY/mrXyU9Nobni1+EZBJ5TQ2G227D/N4HUba1ASC2WLB89KO/Vhv+rpKeDv/czNO/JR9Ok54O/0bKv+2221haWuKVV15hz549HDt2jK6uLh555JFf6fxC4eqfls9+9rPcdtttrFy5kocffhiBQPBr5+79vRFQcDVOQS0S0qCWs8tSQkJgZK1e/ZPPRCylsoyNuRjse5UzSQdPe5MMN2QoWxFjvUXLKmspfz3rYRw/FqEYMUL+qG+GplAQY7HI1PS3WeNYg1+5nQ9U1uFIJVgKRxCKlLymX4vCIkGYWSQdG8AmiJDwDKIRibBrnOgUNnqEkwSyOaRCGXfkjtOkFhJPvYubqpVMhXdxzNvFJrmHzZXXkpz1oBeY8Sy/ziZ1jBXGckLCDkbnp2iTunEq13DP2k1sMdtJJmdQFee5OHCIpoXv8aV5H2cMMQqZCGaJmIWZKNuKPZSU3MNjfh0qcR3nJmZ5hWYEQhHOopDownc4MvcCKztbUWtLOD/+Zfy5PDaxEslsGcNZLTucRpprN9GdjnEk4UUlVHPt1BfJqy/yF/WlGP1DCLMynBVr6NrTTsu2ndiqaxFLpWgtVtRGCzN9Q8RDV7PTF/Mx3JPjXDo8RzyeYW4wwPyQiytH3sAzs8SFk2eZmvWg0XQwfOocjdV19NpKGYr7MB+QYpCpMZmUPH9uP4uFIBmBkqFjI7SkZjjh8rJ7XRmba5vwn/ey6uQFXENeeg7OkR+8RM59kSpxhNXv30LXfXfSdOs9aHQqJMIoc/3zKPMhmJ/AvZBC2lSLWDiBtlyAzWRg3p1CVF5E4C6gRsaad7dSUqMlKwkTc1aiik6jFsPQGyMILA48By5RobIwdy5G3e7biMRtZOfnid/7GZKeAKmnj9H1p7cz/Ld/h8uTIuOvR5KOsDwTRiCYhIHzaKociBYWkZWVUnLfrSSS0PPwUULTHjyeGGU7DQTPnMR78igpvZhcQsHEuSPM5LQMXegh5Ckis5ax5b1d+C+Ncnk5yPMvXiar3MbGB+5CG9WjrajEs+RHKE0iCFuxOCRMHx1BW2fDPTCNUjjFyMhxZvsHyPv9xBb7mTh6Enmpjqr11azYXom0uoOK3BiNW7YyKpNxZiGPcXUpGfcSy1WliDRahHXXc+HNAWJTY2jVdkgWkKsdaAQCdtyxB7upBFnXGhpuXk3/pIzyazqo7TAhM5txL2XxzkbQVm0gV5ZHtWIvB556lqVYDJ1aQWpwisKx18ja1WhKapFU6emdHKH/8DGWl+0EDGbSujyjBwdwj/dy6fU54pevYDhyAntrKZzYR0N1noxnnKnnn4b33AsbN5APh1maz9C8dRMzfQHEUilX9h/FUqZBo1Ui+smOulQsRqGQR5ZIAaBobSFy8BBzgwHmhgKEXDGOve7j0CNDmEvVlDQY8M8JiMhE7HnfDtbd0sHtf7iN6268CbFvgdv+/AE6dv+8me9/lszsDMrOTnIuF/q9e5A3NpJ1e4ifOkXwhReQNzViuOkm0pOTaLZvR33NNWj37EFis6HeuPFnrmW4556fea1ctQpp6U/tRXLB4NV4K7+fzMICQqUS/W23IdLpiB0/jqy+jmwui7iyksSFCyQvXSI/Pw+xGGi1iO12xNXVV5NDt7Yi0usQKpXk43Hy/gAUiiSHhpFWVuD4wudJj4wistkw3Hc/QqUC1cqVaLZvI/zSy3i/8x0A8pEI0SNHf+12/F2kEP3l4uk/e9x/Bblczq5du/jc5z7HmTNnePDBB/n85z//K53rcDgAaG5ufus9mUxGdXU1c3Nzv1a9fq8EFMA9DhOtGiW3XxniZChJ8idT6rlcDEkhwmVlhguKDjZr8mQFChICA5HkMieOP8xMAhzWOv5lOshUIc+fVFq5wbBAZUMVL/nm+JR/Dd+aC1BwLVKukNJWUcZah5VEfIKbtAWK6WXW2xppce5h1nOEXCyGTipip1HFXw2cRKJaRZlcSsqb56ZN7+e+6jUUi8fR6TdiqKllXa2Nr7qvBi4maneQFEZ4JSgnFhvBNTFOVhtjyFDClxbkBAxF4v5DRJZU7MgtcGNNnLtba4gWFFRLJPx5yxYUGhVj53ppa5xGJXwvp3xJ1tVUo5OHaTelqCte4VV3jFPpEXp9euTmLg4eO8eSz88R7w0Q7kdjsnCqrooGfSkhX5JNxSvcZfMQn7uCMnuBgkFGeV7GzNIstrq1qEqFiKQysg7H1cTBP2n/iYvnyKaSrLx2DabSq4G5Cq2OqN9L3RY7bxzaz9DCOaYm+siKDrA8PUJLRTM33PwhTmeV6CpXsqAy0FgosqmxCeE91zKWEnLxnIeu6hZuNpXRL5Wx5votTFnrWZkrYowEURT95N78KhGRHJ08QX1wnJQ+iTijgpbVKENzJC6dZHC8n1eOTdHaWo/ZEcI34SVTlGJcaWdqcZ4dD95KbSxG254OtOoC0oKZadciS2PHuPh6Al/PGKWNu1HoyynWdKC0uDDfuQ3BthtwheSE9QvE/JMEF0/i3FJx1V15eZlQ6Sq077qFS19+HovZhMK4jWymgMwSoKDVMu7JE7DUcPzRo2hKDEz3etFZlAydnCebTCPJxvEfOYN/fInh/kkyZTvJZXM0mwJIrhxHF47jmZzG53Lhe/ZVnv7CUQT6EA5nI3apmdpcHwe//yzWrhYmTo2DqIp8MkbO10/Ik2LRJyG56EdsLeHKgg91WQ2K6gbEMmi6+04k1lrmew5Q0WlF6CtiWzqH6b77EFktBBcX2fXQTYSKNvQWO4HpKS596XucfeSv0JY4yBg3ky5YqOwqZd38U2ysM6MJLGAtnMJRriL42ps40hMIE0HiQh0SBcgjblIXDrBwdo7olJnR429gKa2nZecW7CsMyFUhpnJ5Vly7GdeLz+KeE2DSt1BeyGCziokFAlRsvBOFaR22ljXUWgY58twQRbGE1NgYE8NJ5Ekv1K2AlZ2IJFL0a9fici1Qv9qOo6aSdMJFNgM6ewMXfnASe1yCRHQ1ANk/N0347Fnk8SSFfAHXRAjh2q1kU4OUNxuJDp1CX23FXCpjeTbC2EU3zspm5gb9DL4yxfjFSyxOLjM4OI28SonJ+fYE71o+8hE027YhtttBICR2/DiR114j+OxzCHJ54mfOILZakTidRI8cRSiVIvoFW8V/FQQSCfEzZ4keOUI+FKKQShE7epTY6TNkvT5i5y+QeGM/ni98AaRSRCYTCARQKCDRahFptWT7+1GvX09qZARpTS3JgUHC+/aRXVqi5Ev/QNbjIT46huuv/hpxZQWJS5eId3dj+tCHUK1fB/kCApmUnOtqjkGRVvuWAeg7/CxCza+2IeJXPe7toLm5mfhPvMP+I1auXIlMJmN0dPSt97LZLDMzM7+2b+XvvA/UL2J68UWenp9kTrmXb7TU4vcf46lYPRpBBpXnEuXSWlJOE8bMAJdTOuoMdbw818dWay1mUZig/zzbGz/AxOhjKBQNKDRp7OYdJAsCZEIhsVQSrUKBUCCgUCyyz72AXRBmtbmZvuAUeZGCQCbHRp0Y/+RZYqF2hCXHWVRsw4eRWy1KHu87y/J8indtaWUxpKBWIeMrwSD3a2dJT40wqr2WpF5Kp3gGt8DJSomevFCArxDitd5zVDdtZa77MTrVZeRKNtLgn+fl2IvYyt/FfpeKm+utuGJzjOfN/G1dKUXfDM8Ov0Sn8lbMNRr6BkbYu3Y1Y2P7mcvnOeGSsK6qHjMFJsRuOpRydAoV04IqhMMD1FVV8KorS3/Yx8dUJVS2wvcGlohPHGPH7tsx+X3IpRVkYi6ENidLAlhnNTJwfIK0MsCqNVfz3I2cPk7d2o2IxGJCywkyyRwoUpw4fJZsPonNUE5+8TKrb7qN0f5eRvpnEJc3UVA4QBZgh8HAIXeaLaUOKpt0zKXy/HDBw565DPU7qnl5bIrtQz0shz0ErHLWRRRodl7D6NlF9I0VeC++RlVpGVOUUe6AcDxA+YoOep9+nnTQQCI6gFQpYeX7/4Dp3lFGD19BZaolmR5FKjJiqWvHXiMh6iviX1rANxgjne5FZVpLRamQxdA4ae8MO6+/jhMXzxL0dBDxH2XjtlKEMTNWu4zE2XOk9DpkMh2+sJrGdg0Ui0yNxgmJrDTc0MzIww9jlvqJ161C4RYw4xVQ1lmDVRnDYBQj0OgQKeUUkykUK1oJHjmGtLwcsaOE0TPHcZ1KUrOrlclzc7gT4wjTViorbSjSYXyRNLPTs5S1lBEJqsHjwrmuiXjfJULJS2RwYJZUobblmFkuQa1bYiEmxRgVo7VnEVjasOQXQaYgLo5hrGqha1ct2cVFRA4H4xeXqW1RkxOKCLqjXDp4hMXFBeQpLxq5mqJ2PYHRCZTKAmJPNzuu307OHyDsilL/t/+L2OnT9D1xirZ7NhCR29Eo8kSyUsaGztC5513M9U4Sj6bwDc1RvXkNl59/hq6OFajaa4j3jdAzkUCjnsSsLScXWSQgqiadLkMgBJGkgLk0zPDxI2xoLGdhVo4ufApvPEpl1yqabns3S6PDCCem6Fv0sGnrFi75UrRsbiWw4KF1+xYOPfwKEkUNzRvK0VkV5HNJ0ocOo7/lFmKLPopLM6haWxAqFEQDKYKvH8D6rmvpO9KHocZEbDGAUBBGLK0jnxtmeWqM7e/5EEFPCLlSQDgUxL8YoG3zmv/gSfefo1goMPfQB1Fv2oTh7rsIPv8CycFBirEo+UiUkr/7IunpGQRSCapVq/5rZeRy5KNRkv0DFOIxoseOIdLqyM7PkxwZRlpWTj4QQFxZgdRkInb6NM4vfpHMxASK1hVE9r+B2GpDvX0bEouFXCxG5NVXyYUjCERCxAYjmq1byMUTzL7//YiNRooiEYqmRoRFECiVOP/qC1f9q36HjC9/k2NosVDE/Q8Xfukynkgnw/7p1W+7pYHf7+eOO+7gfe97H21tbWg0Grq7u/nYxz7G9ddfzw9+8APcbjdut5vu7m4eeughTpw4gUajoby8HKPx6q7tT37ykzz33HP88Ic/pKKign/8x3/k1VdfZWRkBMOvsUHg924GCqCq5F3stlzPtQI3A+EYvYVmwgkPNbIsMZWIIXWSWFzEYKINcT6MLH6Rcn0No/MJuieFNOstZFPTJNJ2JoMaDmU6OT0RQOSNQCHG08s+vrfgBSCWL7DJ5OBcNMfZnmcYGfk+uUKelTIXHs+reGy7+Y5EgGKxnuqQDk0B/n7aR7IwzCf3rKdUocBVDPLi0ous0an4+nials7dPNBWyofKrWhUZSx4TzFEHstyGoY+w6e3XkfUO8q1pRsRV1dR7XsOe7ONStt9OOOn+GFFKWnvOa6RGVmrlHKpp4elmcdRSorkWaYQzHBKLuaR2ZMYsmL2NNxIsbKFmuIh1tbXMVUwMZnN0z+2j0w+j7+2gVfGu9kh9nOn4XEcTS7GTi/wh6s70dfpKLucIhKE0EIverkBZSBERThA92szmMtUGCUW4GqaltkRMeMXzgGgMytYno0wedlPLBmjtaOVS4TJZjL0HzvB64E09jU7MdToWSGdQ5PQk9QI6KoykR0Zwf/Ej8gsRWgancR1+ilOu32oek4TsNtpMDpx9Afx1DYwdPYiNbVSSuoNWIxxTh24iFSfpfuRS2gdzZx5YYb2e+7AFx5hLhmgvKaOeHiZnn3PsW5zBcnocdbdeg0btlQRdC/Rf+Q882++iCQSQS6FJjvIyCItpFDlHJiLpbywf5hRaQemvIvbNqxG/eI5ho9fYvCb32OYKhb7Rzh/xYVaI+TYxTlmEjYqW8yUqUPELoVY/alPIvdGKWnZTMpRR3VlCfb2CjK2WhRtbUTQ0f38IKnBQTLpFDG5nZljZxn63hMEz3tBukB8ah51eJq61u2s31iGTl0gZ69AZTKhLVuNzxNBVvCRUyzTf/EV/DItxq7bSeeKZHU5huYm0KhAnZGhScyQzseJRII0b3KiXdOJQZ0l6QqTeO0ZIgcPceaxp4mcvYh55E2ESiXxl16k58UnWJ4cIzE1Tmopgc9lRRDOk88n0RWUrHrXu1F1dJIoKFiWV3Pm419FXltLw61dZPICLr8yytSJfoKDlynMy3jta99k+eJ5EuMXkAtFLJzYh1EvIyMSM/nIYao3NrLrg9dTW13L2Ggv2NaSzQvQWtMkQkssDP4A5XKMrm03YvJ7aWoT0vq3X0egv4acSknszFkyP36WeP0OyqxtLB+/yPobN6M2GNE7V3D+1Sl0ZilicRClDi6+eopjj34P1XU3kohkmBpPIlvRgVChoFgsMj94lvL7bmLh9BAZzyJV9WWo9Sr09hYcdQqC7gIJRSPdb8wxeekiZ54/j728+m0XT3A1Hqn0a18l0dfL9F13kY+EkVdXYf30p1GtWYPE4UC9Yf1/WTzlgkE8//RlvN/8FrGzZ4l1XyJ64CDh/fvJulxIDEac//tvkNXUoGxqRiBXoFq5itibBzDeey8CqQS0OkRWC/HzF65aL/T3I2tqIrewQNblBrEIzzf+lchr+xAIBEjKyhAJBChXrEC9aSPK1hby0Sgis4X5D3/4bW7B300EQgH6G2t+6TH6G6t/I35QarWatWvX8pWvfIUtW7bQ2trKX/7lX/LQQw/xjW98A4Bvf/vbdHZ28tBDDwGwZcsWOjs7eeWVV966zj/+4z9y1113cf/997N69WpmZ2c5cuTIryWe4Pd0BgrgYjjOyLKPQ6EIt+jnScYyGC2dLCVdXKdZZiZvRpnzIcjOEs5kmVHuRhISMZx386crVuJJpTi2eIUVIg1zqkqc2UskYkNUKtVMFko4HCvlow0reHh2gj8r1+INXqBnpkjWqmMqVM1d4hxibYB/zZehF2a4S3IKS/ZGHkv2UZ6qxJny09zcxITvSxyOtHBrbS16uYnzSR1bDBomEmnqVXIiuTwiQCES8u0xFw9Yk6Tyc+TzKbyxAsF4mK6a9ewPCWkqLPBCwkQsD43xNLsyM2iFqzgd6kdeNsFMTkqZbBubKyu4PPn3hCXtrNFX4J05hz/VyZIxiil3FmnFJwiNvsl4fhX3riwhG77AK1NnucmvJtmiRS5XocisZCkUocpeRliUJe5bpqaxiWQ0Qu/BN3DU78RerUWuknLlwCxt15QxcdGFQhOkvKWVYqGAe3KaZEzDmOcpnLYNtHWuZnF0mHS/H0GdkouLHm5s3ciSJM6TI6fZKzJTVVXFP44s8FB9GSGRlH8910d5WyM32ozoRCKyr30RZePHGXNdpsXUhFucQjvvp/6m9cQvXKDQrGP2jRBlci8CuQyJ3Y6suYWZ3kt0h6YRnZZiFg8wHYwjFypo3b2T6csXqDBYGA8nkM57sFaXkhsPkq+zIi1bjffsi+gbtpIdGqTini6UY9PkrlxgwCfGrimynI9SWdGOKOhGOD3EsLQOa2clmYwPZcV2+o89y0qLnrIdO5FYLIz+4BmKN63BOTDIgslIid6Bf8KL49pNzB3sIVVtxOIexXVolKb/9QEC0SVMY5OcPxPB3GBFoReQ0trxXTyGwLSSaHiBWn05nmAMmyqKcdNaJheLhK+MoaocQZqvQO5LMehZwGwtJxI2UlKrp9TfzemEDWEQ6tsM+Eb7KRCl9t07KGtpIxmVMDcUoGubjbM/OIvGJCWZFqOffZPx2jBS1y4y7lO4XQGkFjsRvwSzpoRsPMeKNhURXwqRVIxzXQOeuAbBqdfo+OM7CMfFeJdGSPWFKOTylGv8uKu2QDpP/5Fe7CVZAnMF4okk1/3lrSy+OUAqkUdVFac8XeDUQJC8LI8g5iKtV5OKRSh3VjM7kcGoiNK4sol4Kojm8An6NRYaqtvRS6Io7BZGLgdoefd65s5PY1vbTDESgLI6PLMhQt0vUbLjZox2Ld2vH0MkAbWmjvT8BfxZAXs+9G4kMjmpeJTh08fp3H09AoEQgVBAIpKh/8gg7TtbuXxgGkfN1Qd7Lj2L1lrH/NAQKl2WutXrEP83JKr1ff8HKDo7UXZ2IBAKySwsknO7kFZUILZY/tPXi50+TeTQYQqJOEUg9trroNVCoYDxrjuvClOfD5FIhMRiwfapTyFvbiKybx8is5liPH41oH39BoJPP43pPQ+QmZlBIBYTfO55CskEypUryaXThJ54EllFOSKVGvNHPkz00CF0N9+MtLyc2KlTV+Ou5PKfMcX8/53/jjH0F/tAydDfWP0b84H6bef3VkD9X17xBHDKpHgiEWyZFGf8s9xZmeS5sJkO3zxDJhMPNWwjVyhyZeYFxDIjCv06vnvpNb7Q0cC3R89S1G3BJkqASEeHaJj20mv50cXLvHtlF1fCIWqKQVCUYFIq2L8cRBaOMBZ6Cqn6bnZpLoD5ZkRBP6+mBfQszbGlsoatehWaoRAfE87yp/JTNNT/AWLxVXO3QrHIcDyFL55iLpVis+tN7Ksf4O/7Z6nJ9TApVHI+KuOGyibucpgITQQ5UVgiFRJzc7WBQ4HDmLUNXCNqQqSV8fe9FxCnzrCl9U4WfSdxzfmxam5gXhzlthI7JzznKaiNNE0EWbllFzGFiAHXJRzL1RiqQnxqaJn7NE5mho4iq+7EFjzIavXdaNeWkE/kePxkP6XWAiss9eRzsDTWzZobdwGQzxZYnvCimu9Fu3v3W/cln8vinZ0jmCyiN4nRai2oVCrilzwoOy0Ui0W6T8/SIBAzHpxFt8pJ0X+Y+hUffOsasVyeJyfmeLDKSTY7g1rdwFR4gWNDF7m3fCfpyTDfsQv4VP3VANfYqdOITUYCz7+E7ZMfI+t2E4sLSIvVWGp1BBaWCHv9zPbO4Bs4iVC+HpWzSEmTmUREjGviDDrpanLRIKryAhM9Z2nYtJXA4iyiVCvlyjCeSIq4e5Jr/+y9HH7yRWJzaVY5swwsxlFWNhFNBxD5BFj3rKcweoT5oBdhrohKqUaj1aDJ5HB36lm1rEVWXYV640YuvTGDTR3DubYeoVTK2HefYFHloH7gMOntd1DaaEJaXs7xp0cozryJxLIGh9CFVi8lPjFNKptnJi5FIjajMcYJCmXIlDryiRTCxALFqTGmhdci0kUwi/Ik81EkeQuapkrCwTEk8jLyi5MI1HLsrVXU5tzMi+TIbe2Yy1Rc+bvH0RpkJJLzqCxWwioLI93dYJSiFFYjdJ0mIHPiLOqxpmZwl2zDKMjQeW01JGJ48iHabr6NWDDFzJv7SfZ2E664hRrDLBeHNFx/u5OhvgDz0324xifRW2zkbHZ0ES81RQkufQXlm2opTHoZ7D+PUCcg6kvQvutWgj0T5AuLGFrqsF25wKxxM6WVMvpOuKjLXCYkK6W0QcfswR7q9qxguGcRTaWEmnfdx4V/fJF0VQeVa8rJpVMICh7mRyfZcs/19B7qpbxZz8JoCLk6ytCx49z9N19EIpOTiIQJuV24Jv2kRqYxrNlB80YnM0cPYzOYmL28SKZqBUqtHKU2S/+xIK3bNJhKLMiVyv/Gp+PPEzt9+ueCxv8jQi+9hOtb34b/G7ArEiHQ6RBq1EgrK9Fs2YpAKKSQSlKIRCgWiijb2wi/9DL2v/oCiUuXUa5Zg4AigSeeRNZQT+zIEbTXXU/k9dcRGgykR0fJBYPk5uYoSKVIdDpq970KQDGbRSCRUMxkSE5MEnz0UUr+4e/f7qb5H+W/awz9n3Ai/23md96J/D/iJpuRUDbHdCpNi9OKRXoYlWore1JyFkqtrDdcTcwpFgpYXX0b6bSX0UyRai0cCJnoUhewpK6g08LrESEnEHAlfR5NeSMTY1+gq+7znDn7DC+rt/Ol9lr2Wg0M5y5i1uxFm54hn09TIZcynxtmJmrhQeMkQqmVPxt186WWWjonvPjklcz441xvU/H45BluMitp0XUwOryfYqyfK1UPERocp1zUQ483xqfby6gcFHOvUkPqkoeZYo6donmCslIMhiI9y1XcEFLh1aWYiue5JRtGUVuLJHMEj2Enq0v0VCXPMTl9HJ9rBxXV2+ic8XGosZQ2cYHDvjANU6fJmoRMDw7xh+pqTFYtSpcFq8JBoLAaiVKOUCYmV4S9TXU46/TMjwQQiTJMdM/RsD7B4vAAzpCXmVQKR30V/2+3P/n6PjTOMlLpNI7SFlQ/cQZWrbQxc/BxRDXr0GoiZIwm9FMF5FIjBaUDT9RD9+RBihE1cwoF5RWr+dqin2I2zYdr8uRjQlobdnBZKCBcq+RP7T+dwlVvujowGO8QEnW7UCBg4tQ+atasJx5p5NL+y8jUy+SlU2grr8MsDWByGJmeXSQ172Pjg+9m9MUDJERK1KpOOq9rZPrcftKCelQ6HQOjL2CvqsTZpOfS889gUVooaRbRH4jiLCbImq34+j2UCZfh+DnUXasohs5jtAqZmpsltzjPjdt3koxV0RtbZMfGjWRSOVZeW/nWd4h5lwlapFiWPUR278LqUFBIJIh3dxOZvYIpJSIfCnCm+zyNlWZmDLVk0zOUtGzGePFFlpeVKJVSAjo7MomUiFyDpGwVkqUcakGWtMHBQt80IkE3tcWdqIQCVLYABnUGU62ecFLLec8ZqhxdVKwwceHr/0p2hZPc5Hkq738/Pa8fYvbUs0ipwCY2MzN3EKPlHsQKORrXM6z+0hdJnTvN1IwMU2c9Jx/rY/37b2DkuR8jOXURl8yKRtNE4xYl3qcXKGTqWDh8iYV4KcWYGbtWjzQRpCyeQdHeiX8ugTUXpmffWew6I/G4j+0bdpPPSLhwfIx8eorOPdfhOfcG2sVFNn5+B3P9y1iwo+qdJhjKszAeRUaK7NAANfffhvDIcTQWLbu++gF6Xx9hfmgelWYK1+QUrdvfy9TlMFK5Ep29gpFzs+QzKdq3bmN5NkkmFWVpLIiAGUqb2xiYnCAzHcbpvUDlLbewOBrEem0d6XgWR62egRMLVHeakSuyHPreN7jhE3/2G38m/r9E3jyAds9P/9j8R+Ip/PLL6G6++WfeE8jlCNNpCkIhIosFidVCAciMjJKTK8j7vBQzWYoU0e3ZC6KriYG1e/eQvHSJQirNwh//MSKthqzLTW7Zg0CrY/kr/4zhrrvIhsIkLl5EXOJEIJMhs1ox3HffTysgFrP8rW9juPkmiok4yStXyMdiiNTqt7Opfi+46nWm/5+uxm8Nv/cCCkAvEXODxYBYIMDivI98ao4L+UW2K5ZxF3cxFEsiXurFaEzici1SXXULGl05L7pP06CYQW7ZxYvJal6NL/M3+T700mn0yx4cLX/FUmyahcqbuSGX4ODk86wxl/OER81moQ+LrYmlRITz7gACSQcNonOI9DuIFQvoBW5OzB9Gni3jVGEds64F2nyX2KspJRYb4C+mQmwr20rI3YU6C0dyOf7KUc1pn59+QQ3NqnGWo/swmnayvVTD4Ogp4kEDMlkLH1XtJ+yeZdAlZtPOz3J0sY2VBiHizBiCyQJl+nmCyRjWyO28ovZQ5TvDjDhOm3Yr4ViMxYkXSYd9WGb92KUVLMmeYUH2AAHXMs6mU1Rn2lhM5KgHruy/SPPmRsa7PYilIkyVRpy1ApQaGdbKMvRla1j/C+5JZVsnhw8fpqam5q3EkLFQkKGhIVauv5PMXBS700khX8RfnuCwx0uHczNmr4+5XCvVJhnvqalGMBJGW6rGITdwJRKnP5xik1pHpVLGoWSGYiqHQPmzKRrkDQ0sD/Sib21HdUzGxWefRGty4rRUMDxlQFFQobTNksnlcBcE+BZztGy7hjPPhbBXryVzZRZ5OMjI2RiOylJSwX7y+Sy6lk6y4Tje6UECKQltlgIpgYqavkMsmtYQeeNhDBt2k8goyYxcYvDNIRpvvpblcR/J0AiZTIT+oT5iomE21zVSLBYZ/Jtv0/q/3otEo6Lv1RcxidQoT15kSSiiS5hArlQisFo58fIpskIbg24XN69RYK67k+DsOFGXn46tneisShZHypnPmumoSzI7K8BWb8U1MANLC9hWacm6lkiEdThlUYranazokDM9ncU32Q1lXaitZcTSCvJDEL70I3pdSVruu4NMPk9scR3xiIDU8CBS5QrE+SyLnhhi1V4K6RAVQgEJYx3Tr07jD/kobbQwN5vFXGNm/NnjVG1ZRaxrL+sNMhZ6F5k52EMkXEb1KjNLc1mc6Qkarm/D2zfCuM9MslTL+AuvkK+oRCBJY6tvRu3NIw9HOXdyBJVZTVWHleIbISITbpylFaQ2reLyH3+JCHoMU6e4bLKw5iN34zo9hbOymeKSC0fXasILbhAKGDnnQlKMYVVOs+hrZOt9uxk8tsTo+R9T33kT7pf3ozdaqast5/yPHqdt97VM9/tZdX01071awss5drz3HjwzESJYkUUzlDRcFfTHnxol4kvSuqX0rd/lf7d4AlBv2fyfOv7fiqe5D3+Y5OAQUMT8sY8ReukllJs2kR4ZhUYBSKWEX3sNeXMLEpuN7OIiml07SVy+TGp4GPnatYR//GNEag2S0lKK6TSpySkkdhvikhL8Dz+CQCpBaLMhkMkwffR+0kNDGG65mczsLBKHg+iRI2TGxynkCySv9IBUQs7rfUdAvcOvze/9Et7/y2gsxSOLXt4vLzCRj7C9xIovcJaH46u5x6BgHgkbtCIkEiW5XJTMUIrHdDmSBQHtWgUTsTgn3SP8ZUkMVWoNJ6Oj5PIHUNnfg0BsYKc6gFxZz5dPn2NequJOrZwj5HmXVYErNIBLtgZbdpC8opEDo6NElGL+UDOD3HoLPt+zVFk28ZLbw2ZNgnlhA5WZs8SEJZzJlLMl9SZmhZkzgjU0Cy/SGF1PxrlENu9Bl9yIxKYkGD+DTO6g53QPipI6Wq01JFxTRBMZrlQ42CSdwWTaxNRwP8nCAjlpKV9ZDPEnqRwnJQk2qo6yKF7DYKwSk/AYs9MKLHoZZUoRu+reRTIaISVN4qxrpFAsIhIJSSfiSGRyhCIR6UQW2b8RK/8ePp+PMz29rN+yBYtUQigUYv7KRZSOIK5IPXOxSW5dcQ3zp55jqspOQGvkyYU0fymU4JIF6VZV8r+bV7x1veOBKK50hla1ArFAwJVogvbZBDVOHbLyq7+5fDxLZMGDokRPIpNhfmyEtHuJ0oKCxGIEb2qBYlUTicACoZEFSqR5/HoTZokeD3laJnqYXf8xvCPzqGOjOK65BtdsmvzsCUqv2UIyFkAiVyD1ptAHhhjxBGi+Zj1l27fg+vt/4LK/iKKsiUpxiP7FIJHYFFUrNzN14nUC2QRFQRGjTEHlyl2sXLMCVyqKLSckmIqhr6omPb5ApraB4Bsv41zbwZmzi6zWZ/FXrmZx30sY22oY6ddiN3gR1EtIuavJTxwlKTdQpYjjy0ZIGXfgm3yVlVYjYaEJqamKeChFWmUl4Y2gE0bQV5gQHX+F+KpaUnIzMkopdJ8kalXTuncrgVCE2OIhKkRlnPGG6WyyMnLyEqqsmMmkGqlEjiATo9JoR79uHYU3nyNtq2cmFuTOv/0Q8bFJ/K8eYMS4HdnSKPbOKmpLM8TLGrCWmyGXY+iJo0RnXMRr15KbmSQaGkfr6CDrGiVjL1CIRlFduoJ1715SgSzRodeR1q4mVpSxbm0zl6/4SecLFLNuxEk7qoXLmO68Fm3vWcJ9/QhLrOjkMnKdbQxf7qf5/j9AP9131cNIomXBtJpkJIlTHSSey6GptBNaduOdi+FyxVCIvJSUSmmqaUCWy1O0lpHOCChkc4SFRlSBGcRlZegLfhTt7YR9CVwTIWKBIA3ralBqpUzsO07DLf//bq1f/LNPE3ntNZBKUe/eTSEUxPyhD+H+py9DNovx3nsJPP00IoMBidFIMZfD+tGPkrhyGfX27SSv9LD0hS8g0umQV1ejaG8jPTdHdnoGRVsbadcS2aUltLt34/2nLyMuL0deW4vuumtRb9lCamgIZWcnhXgc/2OPIdIbEMqkKDo633KR/13ht2UM/X3jHQH1b1hOZ5ELBby0HOKBEjP5ZJavDyywpqLI68sebjAUMWeHeSpay7r8JJrUWfK1/5t/GT7K9zs7SSSmsZr3gKDI85NHWStTMrV8gAHFarYWxaRTSvSyyxyINqEz1IJghvXmEkzzerp1F2hUSpieeIWYdi9BdRdzuThbp06y8pr34M8XWY4MMhteYJVOjS8nR6+uQJLsYXbgJcyrvoBDZePV2TM4l4dYt+puItEhjIa1POsOsDVYQFmiBomIy9NfY2XFLRwcFtAuP0FZ4/2IxWLS+RyT098k1d1B/ZY23jh5Ar+9iYpEjgnlKWzSKHJPCpsjRigoZ162l7s621Hr397EmvF4nHBRQFYkInr+JCO+EKWbtxGa7OWaFRsRCkUsTjzD60MabtnWhEKaYl5cw3AyxXq9mmw8RjEcorq6+q37apVJ+N78MhaphOssOiQIfmb9vpDJE3Eto7BokSqUZNNpfHPT6Kx2+h+/SHmTAr9IxGSfCGV+Buf8RRbq76S6MYJ3PE0yOUA2GiO87MUXK6G+vYG5qfPUxUBzTTtDw06qVxQQx0L0HziKwqakISvBct+dDHz3KKqmWnJZP4JT+0jblQTycVAa0GdlTCTc6MwG1CUtxCan2fmxDzMzcAHRuUVCOS/rb9lLny9BbDRL/SYN5vatjD/7Y+TNK0n3n6F/bJFauwp0XaRHJxC0tBNemiG+nEDjcJBLeygUREgFYTQlbfiD3UTCpXRsaiOWgIXzb1LT3oLHOc/GmQxTfQEE22/EFBzC5Z6kqsSOqrQEMlkWgwpUK0yceLaPxg1GLOfP0+u34Yn7yUn1FDJJ6lY045FAw9Ii8rSPiKEBfWMZ/qEFSq5dx/jFcdp2O7EbTez7/mPUtbWQf+MVMjd8ktihE8RjBbZ+Yjsnnxmj3bGMz1dEVeHEm1KRiUVQs4S/UIN/eoAb715N/1kfQtc0aXsd3pkQicwUneoAQn8cv7WTOGLoO4LSVIlWESet1SEta8OxwkFSpEB25EXyNz/I/JHTmPVJAq4g7kQDzas0uGVySppL6X7xJSRBCeUddmamsmxsVDCekiGRZ4mFnTTVq1A6lIjUKhYu+2jeVceAP0xydgGHWM+Bx99ALpZibdCRiU2w5/6PIzbK3/p9Dh4/TMvWa97WfvabInrhIgsf/zhEIkjWrEGzYgX5SBjj/feTXViAQoHYqVPkgyGKhQKa7dtJDQ5g/+xn8T/zLMkLF8i53ejf916yo6OoN28mMzeP91vfIh+PIzYayczMQLGIZvdu8gE/hrvvIR8MoL/xRgTiny6uRI4fJ9XTi+XjHwP4nUzX8ts0hv4+8Y6A+ne4EIqhl4ioEMfwetOUlpaSyBeI5PKkfK8wkhLTYGynEHgFqfNDSHMenh59ia3SMUSZD/KaTkdg6Rjv7bqDQC7HpH8IoVDOPeWtfO7kswik5azKj9LtsmKp1rC5qpIWYxk+93OIRCq80TC9oZUUzBmu04SJRvsxm3fwr8taHOIUW1Vh5lJZqplEb7sdQWKBvtAEdeY2NHIzwWyeY4EIW5YuoKqqZtHdy0tzekQaNxZ7G9epBahUCnLiKoLTJ5Bo9KjVMB0PUZRWM7ok5oZKCweGvonH18q0dI57SqWIC1IyrkpkhpOUVO/BPZzG4DBhr6l+2+9BoVBAKBTyxrGjbFy3nld6BuioLGd4cABHdQ21x0I8VlJk79p6nhy9QoMsxFqVkMWAjct6G7VaBbfZDPTHkoSyeWK5PIPxJB+vsHElkmCdXs0bbh8lrjnaOrveKnfknItCZgTE9ZicGvwLLnwLEZo3ltJ7ZJigK0RleyM9rz9BV5me6ZSPfMpG3dYtLLzxMPqaOqYnphErqwgsL7HGoMJbzICglAq5h/mAnIixiq4uBe6hHhaml2iLp1FuX8/ymVPEhVLqtm2h5/XT6MvLCPlGCevUZIQyysU6kr4Q0ionBVme8ryEiKKF1i4NAoUS3/l+zO11hEI5rpy9hNVkYAk7VV2tzPedpViIIBNoCIZLEcqy5BJiov79ZCPLZIsWrDXNCAlQKDaSkwpxlMvJh2WU1qsJnD5BSm1g1fZ6Fg734bx1F3OnX2P8/DjNVif19+5leTFJ4MR5NK0NnD18nIJQhl29zFihC72snJR7kMrSAqGsmjqjFFfKTD6ZYNdH17B8fgj0JtJqG1a7mLxUxdz5KdK5BFVFF3mpksGhAqXOHFU3b2P2mTdZGAmy8U9vYP+nf4xcmEZQbyTqGsZccw2q6V4k1TZ88nJU3n4i0wWk5eWoxQmcm9pwnxliuPscayu1nPRUUi0oUNIYx5fQoLcpEPiWmAmnialVVBRk5K1GEiYDuVyQaECNUa9kVYee8WCBdMrI0JsP4zB3EpWbqW7L4axfiW9+jrBnAZFYTpNDjnvcRVBbS1VHBdFAGpmsSMbtYfrCIipzhKnpBLd99j66X3mKTXc/8Av7RT6fRyT69VK3/KYIv/wyqYkJIgcOglRCPpNFotFgvO02cgE/EocD/a23svytbyHWaEgODKC75RaSvb1E9r+Jds8ewi+/jMhoRHvtXiRVVfi//g0KmQySEifx02eQ1NaSnZ1BUl6O+f77CTz+BGKHA3lTI5aHHnpLPBVSKRI9PaTHxpBWV6PZ9O/n1fz/nd/GMfT3gd9LH6hfhUa1gqVUlkRiGplMTE9PD0qREKtAiGS2nYsxCQeWevANtPHc7BKeiBhHqgOF+71YjUt8WJbkk3WVyCL7Oe1zcU/1WtZYG7l46Fvc3LSRTqmSpdLNdNhfYn2JjkshDwAaTSvjSRFLIifavIDb9Ra+6hIisz3A4uI4nywz44ouMTB2FOPcMELzrRzsnuUHnghxSQWZpbMk3P1MxFO0x36AN5pCo62jhG3sFAXYY4hyl9NENCpDLncy6juHVFVB78Vxwj0exjNmlie97BIsMep6khejJezURPjj1iqysUEKETlLYzmE6TtZHDKRyzkwljje9vaPRCLMzc3hcr1A3apVyKRSWsIequQS0nYHNeopzLc3ctf6CiKnv4+skKOzbDNmTRVKewWlHhdKoZDvXO7ntD9Mm0bB4Ows1xi1+NyvUi2/OgBdazcjSycYO3MO1+Dy1Xu/zkHzlu00rXPiGu/GVqNCbwnQe/AMFa0tOEQmXKcPUEDEiMSAo3w7woSPSECKpaydTEyDvXUNRWTokTIYXqBgLiHiH2HZ2shEagzv4puMv34Wf9BLJrjIfDGMVO/E/OEvwPIi7scexS8rIBTEoLyUeCaNGjXiFXXU3X49htIqxOpKAsVa2t69hhNvjDPu0bCYsaBYv4FCzQq0K/ZCTIDN4aU42E1oxofT5mRhdoGCZwjv8ElS0X6SIR8FaRc6S5aEN0rA00zcN4ZdWCA7G8dWIsPkAMd1G1gOCJmN6JgRC0icPUtq3o190y0E43LckwGcm1sI21s51SMilMhBXMJUJI81Nc+a5WdRm7NkFVoat2/GUSajfG0l9gYLM8NRSm+5htJtHWjOPsfkw49z/Os/Zm5wCWE6Qf/FCIsnB6lvljI8MMorf/IogkSYrMbI7LefoMM0i9kpx2JTIrbW02iOUnXnLpZ9YVLeXpIJI8tFBbXtcqzX7yCpsBLqH6UtOE7RZMPqf4O8Pk/4cg/Z0UHksWXKHrwDg62GDRYx4tw0KWsF6XgQp0hB8951XLYrka5oQ60QMNMzTmN1C8r6BioN00iV5Qy88Ca9B15m1Q1bcFbrKKiUlFRZWLXRgTzmITjhpvcH3+XC0SEyGitOWYrKDiUisfDfFU8ABw4cIJvNvu197u1Ad/PNVwO09XoKfj9CoRDN3j1kfV60111HoqeX+U98kmI6fdWw8847Ua1ejchixfTgg4RffBHl2rXobruN5OAg3n/+Z9Lz8xTSafLBIJKaGoqRCFVPPknZl/8Z/U03Yf/Mn19NeDwzS3jfa+TDYcKvvUbo9deJHT2G6YEHfqfF0zv8z/HODNQvIZkv8P7LZ9hqq6daIUUjEVORPEAw1YVbnsY3eoJI+TqUUhutsixH/ZNstndhCv0Yn9+DTl+KSLgBj+f7WKRVnFU0cENVF382uMx6uQKj2oXsSopJnZcPbtpFMhnD653GWdaMWCQnHu1naWIQuU1ENJBmNmQmUJzEp9Tw/pbr6L/wAsaW3UQnn0WmWYNr+XnqjLWYFNswNawGIJbJkg2FmZzowZCaY5kM9e3NTJ2T4m1y8tziCA+JZZQIlnEpzaj1BmYHn2XO0kJDUUq3rJZVhSJNdgdabREKGjwTo5Q0NgMSIv4I8cAcFSs63rZ29/v9JBIJSktLCYcvkUq7mZ2ZRCCU0tJwD9/q3c/GFdczEIqwOH+cBp2NRDDC9Wuu42wkjnxmkUr5EKXNt/DqcoR7SswkB3zMO+XosnGmpqZYv/6noeuFQh63P4BbqqRLp/qZuvQcOIBvKY2jSolQ2oRc7mfkvJ94yIdcVUahCLliEKfBjLrEgLd3mpCrD+ytlIknGV+YxlZiZXpikURwGYO6FYMgQKRQxGHrIDq2H2FtLY16JQmhhaggSbB/hnw8jNAqo2nHFoYuzpORzCOdnkdks2PuXIUkkMEiE9MzNMeOD72bsSd/TLZuD+oKSKVCLI+q0dJL1G1Fmj+LtqMTkaiEqd4JUsVScrlZlEYlS0M9aFVWskoDMX8EjcWOLr2Mrt5IQV6FVSygQhdicXKajNJGuSDCAhaK+XOEzNeTmo2jGr5E6boqwnoxYxcGcGAkapLhm4pSs6GTWEpClTmD8uTrTLXchdN/EU1DDaGSVbiuTGNQptG16oiEIqjCRcS6HFMzKmpX2zn5gwOUtMsIz6ZJhq2Y8r103LSDocVJdFYjuqKN4/uvEMuPYhCXsrqtmtzZo8xX7MJuzKOR+5gIJHCajURHJlFuvJHkuacpZCpI9/VgUccZLxSRmBqxVChI+2ZwBiJoNm3BdNstFBIJlv/lG7i3PYTZ1080BlFdBcrSMOPdaRQKC8sTL6KxOBEqGunc2URoLo5AusT4vqdYe/f7SIvKMYUGoGMTobFFzCwzF9IRK8gxdD/HVNlmOnZWsTzdQ+eeG39hn4hGo6jVatKTIXqm5gk1Wthb/vb/cfl1yCwuEjt+HO/3vo9QKETe2oJq4ya027fh/tKXkJSUIFJrKOZzZKamESgVSAwGFGvXITLoyfl8+L/3fVRr15Ds7SN+4gRCp5NCIID6mh0UwmHKv/1tKBbJuVxk3W6UK1cCMHXHHchbW1GuXEVqaIjM1BR5v5/KJ5+4mlD7d5zf1jH0d513duH9EhQiIT9avYmXPEEqlHJqlTI8SSgxBmjWdXFlQMx5kRpT/BBPThep1qh440ofwnwpD9Vdj1cK2dAb5CNZMiUCdlmMJJKzrNME6E/paC+qGW2wIs06+YvRCT4gP8zRZD1tPc/S1noTbvdJymseQG0wQRk0pANMLiYYTNUijut5VVnDXZF+4ioQaCvQaT/DhERIRm3isi/Mdr2Qe4+f5JaFPNd0OMgZFzBP70Gj0TDmOEbtoppdqRjW9hpiA1foEQbITlykVFuLXNbAQtbPe52lCAQCTCYTsWAapVZCeNmN3u7AYHdiLjFiLjG+re2u1WpZWlrAbJEjFhsIZqU0dO1FU8iSnU1yj12CSQFST5ygfRMm8Tg3168nWigiz2UpVRZxCHZwNJhgz/QoR3MZuhqsVCzGEZYYWR7q+5nyFoYGSEYjyLNZ2LLjZz7r2L2bfV/7F2w19zNxKcDw6Fkq25pxz9QjZImF0Qs0tVdTKJo4/9z36Vp/HcKok7GZM+hW1qEVlRH3pMiEhEg1RjLZCRy3PkC1SE3AN4ByXoDSt8DwhB+1QEpAZmCNXU94wEOPsIPsc6/iKOoJ3eSkMiulLxUhNDlOm0iB2FmCvkLJ+YlLyNrvxNH7Y/p7xZhN5ehCBzBvv4bZ8ePoGkuRJKoZPXsQpdmMSjJO2CtFWFjC4nASipVRiOepNmSYF8RRSFuo1qYptjqYO9VPLBagffcelE4r/fsG8GRcxHsymLcqsHeIGSg0MDm4TCbjpmHDu8kKJEQHTmNqbWPtu1oZ/caPcWu30FRRgUCtoVg0slzhRaeIUBx7iupPfJpz//pjJkIu1t2+FV9vH+tuvJuJCS9qoqgCJvS1UubndCTV2xk4cwKJeT3J/T24TSIURin1bvAgZHY2T901e5Ed7qUYFTNp1FGWFzN4xYVDoSL+6tfRTS6hXSdhzOwkphOjFiYQTfcj3vBhxLZ2woPdSNZcy5m/e56sQEbFvXeSHEoTiEkouWk7CwfnaGxpZbbvO4RcC1jrb0RjNuEeDaCYHkJkVzLUM4a+41owNFDjFHD2YIa6pI/RE90Y3n8j7jfnmZqcoHHFtahVr1NSv4WS+jIyizEEYgES20+F/NzcHPlklvH4OGazGZVDgDzgoVhm/7l4nng+j+p/aHkvHwigWrsWocFAIRxGWlFBIRzB9fd/j1ijQaRUIW9toRAKIy4tIz0+TtbnRy6A+U/+ESKRCGldHXl/gKzHDQoFhYUFROVl5INBVOs3EHr+BVTr1iItLUXscJAaGQGRCMvHPk7k4EECTzyB9tprkTfUU0ylfy/E0zv8z/GOgPoVuM6i43QwxkAsya2OWwmFxkhNhOjYVonu4veIKWeoyZYQSZq4tcXBo14lB7JZzk/N8CctnfRK6igUHejySwRCDhpdBdx2AbeW1JKITuNf8JLSxnDo38V1kXM85u6kNisnlzMRGEzwijPHrTkpScscZlUDluwgj7tyjBeU+IWwj7vQLfSQMKzEyjKCrBu93Mx02sE/lBWwr+4inRxEmJMj7hogla6lUtrEZM9F9E4jj7gSaKcq2XvzWmbiXSwFDQwsjfNJWyeewV5atl7D2LlTSBQlJGMyOnZf/7a3cS6XpFjM8vjESTZbytDqQpw7e4lt296DNLeAUCBAKJYhMhQ4ldqM0DXIptJ68KR4JaJlhSHI3FAAt7LItR1Xd99l53zo21bTJAOtWMRjmQRbU2IuKo1oei6hLU9jMKzHNTuLtXkFVVVVPOMOcIfVwNhFD6ViAaqVNm74xMcpFoukk1mS4Sr0tgYa1muZ6TORShlwuRfQ2xZZf99HmT8xgslpxjo7RajbhbR2DcsxF2qRCKNcymJOht4kYejYEXzjV8BQSblDyQrFSnySUkqCQ3hM7ehnpqgu0RLWNKMRyagzNiG+WUf24gxJkYDE8GmW3UuINRokGQUmzWXmRTrsTg3F/DxVH/xzDvzNx0kUpWyMGpnJ9iHMBikWS9DVriani7LQ+zBikZK6bZvxzo8SdZfSXmsAo5HR05comT2BPF1GvqmRy90JFNYQxmKUniEtKYGE0LGz7LhrB3pBgIjAjkyaRdX3FJ6KPQjklchkKrpfuoK5rIw1HUViR6SsuamcviNTuI5Kab9WS/27HqT/O/uJypppvmYPLVsbOT1vYe6lk9CxjZomBYMLKSrrzaRjY6gzQlK5ZvzLI5QWh8kLW7FLTITVq7A01eCZmycqtaCy6Fj05hAZq5HEDlBu0eMaD1Gr1rF03X2IPCewpGfw0YbK7cZeYWO4dw6FQYWq3ITCaiBiqMESm8Ba2cDynBffJR/F18+isdVy5emLRIIrQdRHNuvGMzGGTD7PYmwNMy8epqu9hpoHbgfA//jjNDWvQl9eQuXmNvqOD5LLpKksz9CyqQ5L+V+81Q+kJT+/tV4pUzAzvEDr1komJ88jClZiW5Yz330Fz2Y1XfV1vOAOsk18icdirWzUq9FKxDSrFW97P/1lKFZc7Xeymp9N+yG2WckHAgRffIlcOEw+EkG1dg0ijQZBOk3B6yXvciGwmEEsJn7p0lWxtXIlYpORTP8Aqq6VGG67lXw0SvTgQdSbNiGrq0NaWUngqafITE2h3riRfDxO7idWCMVE4r/1+7/D7x/vxED9CkiFQlrUCkplEp51B/D5hGAQI5CI0DfeyAt+Kxtt1ayJv8kl9yJ7xidJ+i5yuy7KP/TPskmg5/LcAiL9WsR6G6vWtmOKTLHUvchEQcfX/VFqRO28MHkOjWcd650K3hi5gKH6Fg5ahNxk0ZO1Krjs7uZSKIZcZqAgjvCB2g5Mhs3cEVzkbr2PPxDPsEUVIZeNIV06R27yKeSKJV4ee5w/d1UidK1HNd+J33cYgidZqKqkunKWe4XHWWsx8PLSJUgOI/R7+KypA7E4hc5iY/+3vkpJYwvFgo/mjc63tW39/hPEYqPMLDzB5dkfs91ex9iSCKPBwrZtD5LOeDEW3WjFIgQiIRFhCv/Sj1ihL8Oq0FArXGCHrsjrk2+QFR0nojPyyvlZDvtCvLQ8z3fcXh5d9NMfSyDMx7l0/jxNvnkqO1bindYyM7iMVKygxOkg4Qlyh81ALlegYa2d+WyBZOxq2oK5wQCxQIH1a8qYPvMEkUNvMHL+EAZ7ilLlMmrDCuKXewksRfGntdg734Ww5AZy48NIPItom8wsy5zkMjFOPvkGoaFJLBobtuASygUxsZ6LeEbnODc/hig9Qra+HvXkABKHkJLVtVweOU/k9TcwVlsZ18kxbNiAvbQR64abqdu2kVxNOZq6Uty+yyhKSpg4e4TrP/kpypROLvuWEKYCxAQ+YsERRi8ewCRawFrzIGZLMzOT5xEWS7GUyDFqk3hdQSIZN4uyCDLvGYRyOVpLnpk3HyVqb8AgDVJeUKNT6OjrS1OcC2DLupALi0xKNpKdOkX7GgF1uiVKVptx3LKLy6MyjA/cz+i391G3ZhvNHTKEoiymegfLRhkJwRLumTfJRWO4+06g2bULmX+Wi31LyCN9DJ+ew17VyrzHgjfcjc7ZzmzIRCE1SVIiYfMndpC90o1KkkEglVLuzFOd6keV8TJetKLo7aPe3c+8T0ssmCSfKSDafgOBrB5dexPLOSvlDRlSkSR5q4zx8x5MRhH6O27j2I+mSUZ9ZC2V5DIGmtc5KOvIcv3tRqzSLAZbBZlMEqG8A5f3MjVb2vFrfzqDlDRVITCYGDo1jW/gMjp1kMa1dvb+wbuwlGv4v1EU+ViG1FjwZ/pHPp9Ar1XTWtmIXO6kpeVdqJVqinoxxs4SCmY9gfgcG4vHMBjWs82g4Y9H5sj/z0dm/JRcDnljI+Xf+Do5jwd5Q/3VxNY6HZKyUuLdl9DdcguqNWvJzc8j1usp/863UTY3oWxtRbF2DfrbbiU9PEx6cAihSoWsro7QCy+QHBggPTlF4vIVIgcOIq+sRHfTjRQCQeS1tf/T3/wd3gaWl5f50Ic+RHl5OTKZDLvdzp49ezh79iwA3/3ud9m2bRtarRaBQEAoFPq5a4yNjXHzzTdjNpvRarVs3LiRo0eP/tp1eycG6j/BbDKNXSZBJhRyIhBli1EDwPz8PLOzfTglHq4sJFizZgvRaAi/f4pL6Trq5Reo097FU5lL3K6sIBY7QV3nh3h0Yh6rXsttChl5qZCiVMb3zl6mtMJOPvgst6/4OP/7fB932Ax4dCaiuTz+K2e5Yccu9k8f5cWIlYp4H7cU0jQ0riaZdJEPTjAabCTr99PZWoVcksS/qOd0wU1bNou2qpujSzluaexiZGQZvT5O0JWkSrcOkUWCraIJtzuOKBGnrHkFJ370MnVrGnHUNvxG2jSTCTA5+U8UpBUEZTdRUcwxJ1EgiwTpn5xk+7btVCpkZAtFvju/zK3SAkcKYo4H4+zhII/7Sllrs7DbVs6ge5Ctllpml4LYNHoiM5N4atvoEp1AnG0j4y0gdWrJJyO4JqM45UmiSikVK1rxv/EGRZkDx+61TPX5qOmyUigUOf7lA2z7o2tIJgr0HznEqmt3UigWGDh0kJSgmtjAy4gtVRjt7aTOn6f5rk3MepV4D50iL1vCsThA1mpC5IIeWQnaW+sQPnUCXWkp3tEANetWMONbxiJPkfdNY1oIkNz5PjpubqEQj5NPpXAtzTP+/YNIjSm2feXLpPIFpn64j5rd7cRPnWJgyEflmkrSjjWkMmPYKyoxWWy4vvxlhvxuZqNpkMpRqGVc88B76N5/HHXKTiwqQCANM5/UIE0oEIpSmJp1FJN5EPahzWtIZ1XYJdDd14+jxkY+Wo4n7KEu58a4dg2D44uY0kEMziq8l8exa+JIN23Dn15m5e5NzPcPUrpjO0qpjMAjDzPn2ELCHyfui1G3tQrvxVGMshmMN97LsS9+H5U4i3bdjZgMRQIXzjDoU9FQ7MerX8l1D3Twwj89jTylJ1lYYpMuzki+BudtbUw8O43YN0/IuZLGqR+hLoRQlZcRsraQ8iVQ9b1GTgaxrAbbtdeiCMwjKXEi37mXhaf24XYX0O1YgVhTyoo9dRz/2mHEVbXo/Ue4MFmJSj2KuXwFekuYkK+UYn4B/4yKWOQw9ZtuY+joKVo2r6XMGOLSlQvUaM10/uEnCLk9nH7+EqnIBJvvvgFr5c/vVo1fWUbVaX3rdTFXQCAWUsjkCU5fQlVRSmFYjPInxxRzBRJXlvHIo1iQIaopIlrWI6vUAfDno3OUyWR8pNL2G+mzbwfJ3l5Sk5NIrFaK2SyqDRsoplIkLl+mmMmi6OxAKJeT7OkhOTREPhLBeP/9hF96GeWa1RRCIYRGIzmXG7HRgKy+HrHx7Q0l+P+J/64xtFAoMDs7SywWQ61WU1FRgVD4m52H2bx5M9lslr/7u7+juroaj8fD4cOHaWtr4/rrr+erX/0qqVQKgD//8z8nGAy+Zb78f6mrq6O+vp6/+7u/Q6FQ8NWvfpVHHnmEyclJ7Hb7f7lu7wio/yQvLwe52WrAk85ik0l4xh1gjSLO54YH+Hqjk1w+iVpdQ6GQo6/vBSoqy4lGhrFa9zA3eh5/ZghfxZ+yQRnm+aUi11XXYhrw4TenCQReQ6m/lm53kHvXdyEQ5Hn85H4e2HIjRy8/x/cTddzOD1gu+yPqkwkadeN4PJd41dPIx9c1IZ6wkJX6Mazo5MgPP0uhVIVWA98JNvOgYgTcrVRvqyZKGK3LR8mqmwDwzc9SyOcRicWYSstxT4yh1OvRmq0kIhmU2rc/jiAS6SORmMNgWMvi0nOkkltpbm7mcjiOVgip+XGsZidW608Hlh8ueNkoLlBtMfOqL8JcMs0WuZArWQHRfJ73m9VIxGJeuzRLs28IsSrIi9pSbPIA5TNFbJp67EU9A8khorMeVtQ2YK8vQ1pZSWZpieAzz6Dq7ES9detbZRbyBYZPHaVl6zWc+vHzFAVtbH53Hd5vfhPfihtR6OWMn5mjmB0n54KdH97Em09eQpVcwhAKEbG3UimaYTJdxJT0k40uo5hbwPTAQ3gXB1B5IBOOkChpJT0/j8w/T7imhJbr9qAvtZKPRslMT+EtJHC/OU/zWitxhRX/uR4s996FSR4nePAwqYvnsf3JnzI9nsSRm2Y2n6bt1jtJ57P0vPo6ib5FrLvamTvfh3Y5S9oBgVAnCWLk/POolTaMRS9LuSh6qRCDSUCOFPM+LUppHUr5HDKhg3RBSgIf2roOvANBpKlx1q80kQpEEYxeYVbWQkHto6q5kqyzk9DlIerv3INAALFDbxAxNjF98gmM5U7m5pyY61QQnSA0n8FosVFMSygQJ1OUYSqDhDdOoVCGw3cRVm9n9NQsG67RMXHkHEKBgZg3xvo/3MXIG/1YZ06QLmnAr7GRjSYpGznCqbIPUGcJYdAViWWkzLncNOglGPNuiokk49ISpsMKnOUKNM1biJ77ETv++MPs+8Z+1HIFAkcThfwMCk0Z85efYuetN3N4f5F8NkgyNktlbQOzY2+iNpkoZDzc/OFPoC4rf+v3M3FpmVQ8jb1aTzI8TVlL27/bJwrpHCAgPR1G0WikkC+QiQUQKUWIRfqfyznmd3mRLeTIO6SIfFnkZTrEJgWfGpnDLBXz6eq3d7b47Sa7tITE+YvrmHW5oFhE4nRSSKXIzs8jra39uZivd1KyXOW/YwwdGhpi//79RCKRt97TarXs3buX5ubm30iZoVAIg8HAsWPH2Pr/PJd/EceOHWP79u0/J6B8Ph8Wi4UTJ06wefNVZ/1oNIpWq+XQoUNcc81/3VvtnSW8/yQ3W6+mWrDJrjpqv9tuRKt0cFPFWr7qMwNp9rnmiBfyrF37UQz6tUgkBpTKKuTJFHFZA7pEL5LlNFtdh1m49IcUW+DNcA9KRRFbMEiX7MfETs/j6V+C1CWGvP1Mquv5G+dRNtRdzypllqX0FN4xJU7net7XLGEpLuP5mI+AZ46LL3+bTNNuFqUetHkFf5QWU628nc6qLkpLWmgq2fCWeAIwl1VgrazGVHr1wW+vrUdrvipcfhPiCUAs1hGJDnPp8rdxu8YxGEaYjIWI5/LYRQJeCYwhkoe55F0CIB/NcE9STI1MR2E2il4sYp1OhVgUwCgVc6vNgEatJhjaz/oKJfnqap6TVFLhqEIccFDWBMgd9LZb0DhKuOY9d7MYXmKs9zJh7zICkRjd7t1Iqqo5+N1vEwsmGLvg5vwrp5EoWlgYnkAsNdLeKSPR04Phjjsoq5HDmQOsu6kaqW4FDbfvQFpayvod1YgjUOzahGPmEAqtjDLPPKWNdZiaWpHG02ROHEWm0BBQlhObdiEUCqiwZpETJTkcYPobT5EcGiR66CCzV07i7z1H2+1d5OIxPDN+wisEiJJhAs89h+nuO6l4+GEWC06kUz2I9+xGURQQGxxj+OhpQpdO0bCnA+PgMB037SIi9xBcmCYufI3c8gnMAheJ6Ku4Cl6kxgI6cZSekT5C7jSFmA+FbAJp5TaaUhfp3GRCUTSzqixJw+YKdOYyzvX7sXbUYP/bf2DlRj27vvAphBVlsNhDy7vXMH/kOZKhKJfdRWb651DX7SGYdpDNSxEmo0SSJZRa5JSoi1Rv0GN2OjCazMjUDQgVAjRZL8qkl6pysNWZOL9vFv27P4x6fRN1W0wM/eANHG0O/LXbCBT0ZDNqjNkoGUsFmxZ/iOn4wywPu5EOnaV96ih5uZbZqIGwN4pz6hIrOxyw4EOtl1GsupG5xTxl61fSdNs6gpMeasvs2Kp0rG/t5PxZF2qjELlGC/lZfHOnqVvTRud1tyMUaxl4vp94OE2hUGTsgpvyZiNqg4JCvvgz4ikzH/2Z/lAsFomMjiCUiVA0Gkn0eUmPBEgMLZHPJ3/O8DU55MfksKBe7WB4bJSwLI3oJ6abfxKTsDPofutf+W8r/554ApA4HG99LpTLkdXV/UIDzHfE038PQ0NDPPPMMz8jnuCqcHvmmWcYGhr6jZSrVqtRq9W89NJLpNPp/9I1TCYTTU1NPPbYY8TjcXK5HN/5znew2Wys/Mkuzv8q7wiotwGjRMwei46PlFsxmbYSFZczkNISz+URi9WIxQqEQhXmtvdQa6qlrJggrhGybC1gzLTB5Rgr3BPMLl7EJXmFYFrBcxNXmE09wnZjC9GpQyyPH2R2fgvzkxfxzZ6kXuOgqDpOLDCKJGUhtTxHviDDtu4a1LXVtEqXuX3NH1LR8X7q9m6ndH0d6rW/Hdueo9EhJBItXu9+wqnDmPROTKZteFzPc6B7nPCBaW4U+chl3Lw8eJhYcgmRRoq8zoDYIOdNNdQopQzGU3zXlaInmmBiyc3Cuddw2G9BUshjttrY3lDB8WkfeW01S5kO7CUSytwRKuw2Ji6cJR6VYa2oYrL7HKF0gld6e0i7l5FEbMTDWfSucwQX58nnl7mwb5wVrZXEHv4OAoWC6KHDjD/yOhqNEFk6TIcpiyQ2TDTgQ19TQuPOBuZ6XIgk0NulJV3TyaHLrxFyZ8hItQRW7GK+5xTaM88g2LyX8jIhxrvvQhDzU/WJTThWVrK0mEd3881YK5qYCk8RPXmSjM1AdYWE5oKZcHiYcdcA2bl5PF/6EtmRN5nR6cm8+ho1115PMZOmbEUnJRu66Nf7iKcUCL1pWu99D+XV1Ziym9FYKyjvquOuv/0nVrbaqbM2kynacGibMZeVUbXxDvLTIkyJKYZ9Fha7p5BJ8gjlMtoaC6iWx1Bb6ukbKJBN53hzOE84kEWoaUTWsons3CxWpYO5Iz1oVX5kwjQ+XxGDLEVNgxLf7DROQxnW9o3MipQsT0Yo296FTJAknOyjZnUnTc1ydO3NeJ96CtfsIG3XtiCd7EG0HIV5P15FlqGxJQTJELbkFEjlpDJChlJFZPX1yOrqSC0ukVUqmK67ldF8noKtgtz9f0aibAWXx/XI7VXUddlYno1x9Affwz/rZuqKi3DkOIf29XNx32t49Stp2boOuXIRlWYJsdRAzaYtVLY3kw7P4KhfSeuDOxFLRQiFAurX2JEqxJSWqNEVfnaiXyATUUjl3npdzGZJF70kB3wU8wWUbRbSJQtMhEcp+n5WJAilIuQNRhL9Xnp7e1m7ZR0qU5QnL54llFjCXGugXyjlwtDIf0t/foffbQqFAvv37/+lx+zfv59CofC2ly0Wi3nkkUd49NFH0ev1bNy4kc985jP09fX9xyf/BIFAwMGDB7ly5QoajQa5XM5XvvIV9u/f/3NLff9Z3hFQbxMasQiL9Oqs1IOlFrYaNZwIRjkWylFaeh8zs4c4PT/Btz0FYgoxueIIYlUX8YKCTG0KbHuYq/4rfKm7qa9fx5UKPa/lG8kYDaR1lWwx6AmnjrO85CPr6+H8/FmWItW8lm0kkD1EJhPmPVsbEU0maV6xh7LV70atrkep1SFXXX0AC0S/HbdbLncgEEjR6do5ILyJC4uTBApq8oab0Fk9LFUVeDjezqmJl1lZZueEZ5JoLk8+nCazGONGi47XvWHKZVI2CyRoE4PEEyIeVUp4asmPsayCWOQk4vgMVSobXTVG1sgcSGUS9FY5kbEwytI6ttyyDb3BSEXbDjg1z7u272QiaKR8hZ7swHFGL7nwT4UIfOPrbLAGOf3KQVSbNyGrrER7440037uNZDzK1JmTxI4+iW9+lsXnTrLQ5yatsbFCMY5Cr6NdWEEymyW5czUR0qTLmsiuE1NqrqLkC5+jpk5GLpkgduYMuViYgcg42voK7OoYArEYSb5IS80GTHfdhW+ij5hngf7IFMb2Vej++GOkpqYQGwwIcVLb2E7O5aKYyRD8+lfQibOo6+qozm7D0VGBOhdCPjpB7NRpKre3Yl5IkA+p8S4u4Fi1BmPGj8Qso0YYQdXfjyQVorVNjKXgokK6iL2jkqZ6AamhETz7DlMoKccoClHbooIDz2EqEeOd6SHXc4bAuT483SMEA3nMK+QUi0piS5fIjj3Gwmgv+fgcpepyKqSjlG2oRCoQko/K8Ay7kdusdF67l6mDL7Csr2A2LWRGv57ySITxA70El5P4xDZSiTzSkBrljJfE3DISQY7Q+HlUEydpqtGTzghI168mXL2e2XSYor2MepOVwtRZJg49xrAgjcHuxkWBniOzXPv+ZpSGLQR9AcbOvobOsRO5Oo/OUo53LkoqUcQzE0JjtrLpzp345kYYOHaEhg2b2HTnHtR6GTLFz25uFhvlyKquxidlkkle+se/QWJVMv7qScbOn8bteZWhMyfISmzE1DGmeroBOPPEYVZs3IMwD5mlGIVCgdRUiPRsmFwgiaxCS6OmgmKhyMD5N7hvzQay3nHygRS18RDn0gVSE8Gf63/v8A7/GWZnZ39u5unfEolEmJ2d/Y2Uf9ttt7G0tMQrr7zCnj17OHbsGF1dXTzyyCO/0vnFYpGPfOQjWK1WTp48yYULF7j55pu54YYbcLlcv1bdfjtG1N9BBAIB11r0dGiUAFSUb2JKbuI+exKDRMKrmbUcCruoX72S7ugiX4vkySainE7NcGzoAEnRIveZlpjLzfAdf4bzhQha3XaqW62o5GF2O9Zx7TUfoEmnoKTsLtauuQOx+KeBpr/NSCQGBCIlC8aP8l6Tl7qSSjzJMJvNFt7bsouVK+pRqwwcS1TjXI5gS53hbG8/53IZEBQRCAT8QZmVXRYd76qs4V5hJ7FLo6wVr8DuSjK1+Aq22FpOenSM5IawpE8gr9WjtukxW8woKkspxhQsLeToG0wxcPp5RiRxkiJw1sk5duACVyJCXMUEbQYJ7X/8B+SH+ymTG0hcuMiFBz6NSK3Cd64fhUyB+nIf0pJSWtZswCIJU7aqHH3Oi0KSRd7QwJnuRQRuL1tfHKR57WqSUgmOtBLPfTuRVVQg7+hgvEXP04uvEBHnuc6+nWIyiWrLViJLixQLBcyeJPHBAUp0lWg/+D40olq8Jy8gn10m+vrrCDUaam9cjSE4iv0zf47/Bz/E+eV/4pD7BPa8mtiJk2j37iE9OYH93Xew9k8+zdLZMeo1S0ijPqa/c5T8pcsoA7Os0BYoW9OMrNFJ+2YnCaWIcydeIx0KkRkcQL91MwJhhsKpgzQ7osizEYoGI4PLZqq7tlGm0pIxVVN/YzvhWALlKhvDb7yGw1lN297d5CytxGMyVBoHVDeSXrWH2PAUZbkoqXyamUNPU39TO0ZnCbXb7iKWUGLPxXDMncBtMFK0GDCf/REGSZKEyoFMUiA7e5i53BRjtjpEMhvx3R9As2YdvYqtiHpO07K8n5bmKkTL08jsBRwPfJBYUo9YtBaFQYRC72T6ipvnvvhP5HLTVLa1oLVci0qvomlTG3Wr7ex8XwtBVxCDTcPYhSssDE+RSnhIJ/IsjIYQS/7jRNkSuZzdH/w4qVgWSV0T1V1rGNhfQS5jwDU5w7mXLyGS6gGwVdciEIno7ekmNRtm/MwgxXSe2dmnCF+YJznsR6CSMDP5r9TmNhHrdqNOtCKxq1hpbmaLXoXQ9PbmqHy7KRYKFH9LXdXf4SqxWOxtPe6/glwuZ9euXXzuc5/jzJkzPPjgg3z+85//lc49cuQI+/bt4+mnn2bjxo10dXXxzW9+E4VCwaOPPvpr1esdH6jfMCbp1SYWi1XsdAppVt8CwB8BxWIlyWSG3riB57ZXkc8nSaeNiIsb2ToaRGyaQBxe5tttK5jtu4DJMIu9/k9papIgEFw1y9tduePfKfm3G5FAwBpzBVrL5xga/jRf6n+R94lf5RHhB3m3aoSt8nJEeT0muwxT4DZKq4K8MthPlbESs13F5/uPUxUQ4RQpsMoXaC8ZIrvoo23bHQgkpeQdaTwXA9QJKvC6hSzPP05F5bsQCMREfEnqVtk48vgw5U1GyvQtDEwsElwW4hobZ8vdDyKWC5nM1aBMDSJf0UF2ZgZyUgw3vIfRzz1K/Nw5QnN+TJkFTA++h9TgICKTCWlFBblQiPi5syi7uuh75gKVmw0k62tRWcrpbQLhkxEspjLUFg2j033oXzyB6T03sdG8Fk/5ccYf+SZCm4WlNTqsIint73sv7uefZlwepiqdRitU0nHX9Zx4/TRbV24lnpSh2bsHoVSKQKXC/+STZOfnEYhEXLfmPpK9vdQ2yAj86Cm011/P4Jcfx7G+ia23VZBZuJ6S7dsIPv8CQpkUqdGI7uabKSSTpM+exvv6S2iSCfb8wR9y5cgZnBYng998AZUzgfOuu8m7lqi/Zh0TbxynadtKvKkcwy+eoLBuHS9//Qn0WhGjX3kcdA6WAgUWr4zQ2NaAYaWIuFZKdDpE7o3znApG2bZ3FeJ8luXQVo7+8z+x4o47kQyfp6aummVTHRMVRgxWJbb5cYwPPojrogeJNUdE2kllYhL9lluJRwskkxMULOUEI1ksqSt4Nm1FJKuiODJEQhXG5ylHUVykdusNzFw4StGboyBRk4wOoNCWks1kGTl1CL1jJSLhOLm0hdHzFoLuWRTqAEuRJQrZZZLRAjd+4lPkMhmUWt2v9LsXCAQodToS4RASyTJiiZ2m9WUMnBghHgBzRQ2uCT96awJT2UbOvjiHXGGj/+Ip0pYssnAaobGLWFkCc9vVnbFlxgcpaAuE+z0U9ALsShO5Eg+jk8tYl4QoUmocjt+O5ft/S3ZhgXw0iqKl5X+6Ku/w76D+FePMftXj3g6am5t56aWXfqVjEz/xA/u3uwWFQuGvvez4zi6833JmZ2epqKj4n67Gb5x9w9+mUanlUVcEvdJEXFhCTXQfNcIii3kLIm0pwTEh57QpNigUGDJliFUi2pJuvHkbzhYr8cQBUt4ouvltWG6sYNh7CXeqmUZBkVQsh8ogQZBUYq/WsTjSj95RTyqWpfv1Axidemq7Gnnzey9z9xc+gvAnQbvxUBqFVvrW619EIZOBYhGhTEY+HEak05GemiZ64E36SvO0xQzEhTlkk4tYPvIRDp8dpiY4SNn6a/jqkx+nuWwV4lSG+LZO9BkJZ6K93LZUQuMN93Ip2IdSomTQN8g2jwnLus0cWjrOhoCJokyJRCEj53IhrapE4nSSj0aJnz+P2GiikEpSzGTJh4Jo9+whPTtLUCPEf+EMVnsXysZ6MvueRag3UqhoQJ7wkY9EyIZCzJ6exFwiQbd6FXnXEtHjx5ku24Vj6gg+QRrl3g8h9CyhHD1CuKacgtFAncaEds9uLj9xisDwRQLqcswVMurq6jj03LPYpe2Ia2qQpiOkJyfJWSzU7qhi9LHziCQFkpIAN33x48SDYRa6z2FWKBkf9FHbWkf+x99jTNJO/a3rmd93BnHHajxDLqoLF5mIG9DncgQy8xSETppqRHiKJprMQs746im3pQiQRhyWsna7mX3PnEZqa6O2q5a501fQN5RhsAuQyJUMnBhHIokSC8ZIhsbZdPcD+Bf8zI8paFxvQyJJMnXpdTJpK1Xtdlbs2PorzTz9R7inwiAAg01OJpkg4ofF8SCZZJ5ao4zjx0+hLzMS9fpo39mBUGSlolqLxxsiPj1OyZpWpvqnsYsMWDZUEQgEyCYznHr+dW77+Pt+7fq9w283v8kxtFAo8NWvfvWXLuNptVo++clPvu2WBn6/nzvuuIP3ve99tLW1odFo6O7u5mMf+xjXX389P/jBD3C73bjdbrq7u3nooYc4ceIEGo2G8vJyjEYjPp+PxsZGtm7dyuc+9zkUCgXf+973+NrXvsbFixdpb2//L9fvnSW833J+H8QTwFpzDU7LBv5y5Z1szTzHzujnKQhS9EvLCcuUlAsmEbeo+fMmDV3xUiTOUmYUk2TrHIwotXinFxDptqEzrWVatcxo9wuYJ8tZQZJE/Ax2uwCH005JvQGRWIjBWUKxmCbommLj7ZvQGNQUClru/euPMtHteateKr3sl4onAKFUilB2dalEpLs6EyHSqJE3N7N57bsx3f5u/D3dqNavJ3bsGKZOCec65MQuXsTZtZHpVgP+Mi2Hpw9S6mzAHXPzdPwEX3/6j1mILGCQGYhmouirG3nijX+g39fP84nTiOsrWDQVeVTVQ0An4rzrPAK1in6FH0lpCXmfD822rQgEAoQKBYEfPozgRy+h75tGYdIiU4jR33wzqZlZkmod0RWV5Px+SCZp+fs/RVNRhtRux3DHHRTSGapm3qT0bz6L9Q/+BMnseQqlWVKb11Ny7fVkoyKK8TgzJ48xNjxE0dCCMzyKf2D0/7D3nuFxlef2929675pR782WbEnuvVdsaoAEAqSRQBpJTnon9eSfnJwkpDcChBp6s8E27r3IltWtXkd1eu/vh4c4LyckJwnFhKPFpUvSaM/sZ+/ZeK+573WvxUDnFPkyG66YnvH+AMoLx3AVlhBrfYDYobMEFCFs6+aSawlz6t6TNL24H72tjoixlpqVlXT/6jHUDQ0kPV5OPfQo7jEv8Sd+jr3zRbQ9HZR4ujEsNGFU5SKXegnV1RM013NyJEnNIhv2Mgf2oRH0OinD3QHMVStQqJQ0Pn8/MUUAS56V8/tCpBJSimYbSaerCAdgzvoVHH/qFJVL5rP9o7U4Ow7Ssu9JLHklNGyaw+yVS18X8gSQU2Yip9TEcIeXE884Ge3ykEpkmLepCMfaQqpWrMA14oaMh9FuD9PDQ5y8dzeeUx7S8RTRUJAyYwGqpFiPWq1Gq5FRu3b4dVnf646oHyJ/Q5+VmmnpvZUglUrZunXr391m69atb4gflF6vZ8mSJfz4xz9m9erVzJkzh6997Wt86EMf4uc//zkAv/71r5k3bx4f+tCHAFi9ejXz5s3j2WefBSArK4sXX3yRYDDI+vXrWbhwIUeOHOGZZ555TeQJZipQM3gLwu/vZGTkT7zoyjDPokSSylBecgcvNfbw3mV1PD38AgsNGcy6cl4YG2KJYpSSsg/ym917mKd9ivpF36V9/3GkhixySvNBkkHlVWAsz0KqlJGIRelvakRjtCGV6cmtyEUqfWPyw7xPPsmp4iSl7R4kl2+gwiLckYe7z5IYHeV8027SKgX96iBBh54BqRuLyoJarsZy4DzJLStZ7tTTViLDprRQbSynMruWFwdeZFvpNrQKLfe13ccKdS0Sm4VsbTYpvx+D3spwfILxl3YSrypm1ZxtJP1+giE3OqkWRfYrtXLBkIeJhJtycznj/+//kfPFL5KORJi+/340s2cTOXkSy003se/MbubVrabv4QcozSuh7cARAnPmYrbXMHdZJeE9uzh6KkX2nFJyOx9D9fFvcvzRRjRKKYEpH3Pj5xk0zCdZWsSqBSoGnzqKOTTAdOlaVIkp7EsaGDuwG3VhA4WzTPgfuh9f6SJanGPkS2RYiRIbd5NtitHhzceUnKAnewPz8vvxBCeRmOZQuX01oy8cJuyLYdi4Gd9UiLJ4OwebgmhzcpkYjpEKHyGn6krUWjWRwCghL1hyDBiyUkyPjCCT5zNr+SxOPPk8Gl2M1Te9h6HWvYxeGGT7HbddHMx4vfGn/zxFyVwbiWgalVZG7aoCpnq9jOw/w0TGQl6FnZxyAy/94TQWyxCG/BWsur6c/mYPBdUqjFkO2g7upXbNBs6+eC/jeZvZVvcm+kFFfeDuh7wG8XsmA7EAqI2QiIBnEBJRCIxBIgzGXPA54fCPwFIMtnIw5IBSB3Ouhc4dkF0L3XsgNAmXff+V+0slQPb6kNh/Z7xdfaDe6pghUDN4yyIS8TA1/Rxjzsepq/s1yaQWl+swY6FOstV6lLEsFKWXkxk9Q//QIJU5s4mcdZN3zSomfDvIBGowZ+cwNDZOVWUlvWdOULV05Zt6DOHzzWjr64gmowT3vIR1zXpemjzCE11P0NAWocxWRe7mKwkkA3zz+De5ptuCZ309Lw2+RDwVZ1vpNgriOpKDgyxWVdNWb8aitrC6YDVqufD96ZjuoGv3Y1RsuRZv1MvCnIWoZH8RD++797usf99XADgwfIC1hWsv3mQTk5PEurtJh8KkIxGcKysok2QTPHKI055mlhrmknJ7MKxZQ6ixEU+2hrK1VxBpbsZ1732MWPRkrbqBrh2/Ih2IYzSaCRPFplAT8PhQlF6Bo9KGaqST5t5p8vzTxNYtJuMyIOlro2pjNcmWswTnbOT0UzsorZlLd+vTzN/wPoYvBFD37cVfsRBZVhrd+VPIl11NqqOPYkeEls5xrK4JJupuQiPtIRKyY50/h+ELXvSEkClDaO0eZNRgLHbQuGMHSkMD+VUmvKOHSKf1TA8NojXnEvdNkTt7Eamki6yiMpRqaNg4j/33/ZKl174TsyMb7+Q4vWcGWXTF8jfkWskkEhz86V5M1SVUrylFo1OCBIY73XjHAyhUStKpDKZsLVPdrZw/0EvDtmW0Hxrh8o8vIh72kkrESaWyMCZTaEuMIJEgVb9JUlf3ALQ8Cjo7+J0QmoaqrXDi56LiZMiBWEiQI7kK5BqYbIfsGmh/FpJRMBbC4luhdy+oraBQgaMGhk9C2TrImSNIWtUWGDsP/lEoWSUI2v9hvJ2dyN/KmCFQM3hLw+0+QTDUick4H7+/nb7+uzHaryHmP4ldv4TfRJawcqgVk/YIUlkfssDnmWOtQVtnR25VM97ThUSlJuJxkT+rBoXy0kwltU63YlAa6Hv0XpSTXk5tyMestWJLa3l6bDfvGSnh9zkXkEil6BV6zo6fRavQ8sG6DyKVSDna/DyV+XXk28u5v/1+Htz+IEdGj7C+SAwRhBIhLGoLF9wXGPAPEEvFWKpRYTbNQy43XWwxAuzo28H2su14n36aWOcFUh+/Bc9TT1F5/e1MxMbIM+Qx5R8n8OKLVN5wKwDBQ4dIeryQSmJ+xzt4rusZVjYnkKpU6FatZvDYITh8jB7vFA57Nme6WqksX0dJZIyB+lnIu7pxBZLYZfn4slzEE0vJTY+hbD9Cb1KJsmoTdsU0xrEW2qxLYOAohogaV7aJfFsxuXTQ654iFa+hLzmAXpaFxFyENTCF1pImbS8k7JFStH4F08MTqHQB8qpz2HvP09jz5uPzGQm7m7DmWUmmiiB1gUhIg94sQaUOkopD1crVZBcpgTgKpYLRC+3MXbcZ3+Q4Urkca17BG36dTPzuD4zIypl300oGdg1QdmU5x5/uQSqVEnBHMdhUKFVy0pk0/ikv0eAIk8MSbHkFlM+LE5gaombRVqTeKOpZVmKdHtRVFiTyN+gml0yAqxt690HfIUGUJlpBoYarfgG+UZjugObHIG8+LP84THVC30FBsHxDUL5ebBfzQdgLGjMotZCIQ2AUNnwNjtwFi94PES90vwRVm6F3P1jLYOH7oWjJG3N8/yaYuYdeGswQqBm85ZHJCOuCSCRC9+gJmrxHmKdKU1LyLgyGWezY8TUWLFjJYPsh6ks/jarE+qquxW8V7Dt8P6PWDKWnRulYkMXugd3Msc+hy9VFMpVELpfT5+3DorbwrmQD9ySP4E36KdAWkGPMIV+XT6enk7vW34UUKQdHD3J91fXEU3F+ff7X3DrnVnRKHdGuLqQaDS/Gz3Fl+ZXc03oPWZostpVu48DwQRY5FqEYHmP/2GHWz72a0b3N5F+2ErX+r1siSY8HucXyisdap1up0ZWTicdJuN1M//RnqMrKCGhVZPoHGAglKTdbuOBLM+3tRh2rxr64iomBY8hkSgqM1SLfsbcNvS2bEvkkY4kyggkVkWg/9ZkJLigWo8rJImv0FKPKQhISKQUmHxfSSzDaFKjSEWLhJKglyI0KIiEd3nE/ychx9FkL8Yy8RGlDFanMIjQKF56xZgIBJXKVhHhMj1pXwbKry8ku1vDMT+5l8ZUbSMbGqduw+c26HF6B/hcbsS+pRW9Rk0ykkCtk7PxNMyFPjHlzM3R2ptDYTXgnwmx4z2we+tZJrLk6EuFWDI45XPXJxfQcH0PmnEC/qJz90hhXuEFbb3/9FztyBvZ/H0ZOAylQ6CEdh3k3Q8dOWPdF2PM1kKogtwFGTkLtNTD3Wjj5O+h5CaQyKFgAljLwDcPiD4qWXiIEfYdF5al0NQweAVMhzLsJXL2idTd4DPxjsPTDYCuF2Ve8/sf4b4KZe+ilwQyBmsEM3gT4nnkG01VXccJ5Al/ITU5Cg9Rm5em2x8hrnyS5cgFTkSkaxxuJpWIY1UYCsQAZ5wRuswytUodKrkIn16FWqKnPqkctU2NQGYgkI3yk4SM80/MM1dZqhgPDrCtch1wq59snvs0NVTfQ7+/HoXXQ4Ggg5fPhHfOT0pjIssv5zN5P8fFVX6BtqpW1Reswqoz0+foIJ8IopAq0Ci2FhkKe7X2WK8tFBFDgpZeYrMmhWJFNtKsLVWUlMp0OZDIkUilThw5x4cAZCjobMVxxOaeP7MOqzmFImWZ+NEy7poSK4DgB9LgqNYR7ghSYcxkeSpGqsJMcHUeWVYNs5Dmyq9eSsvhIerPxmzS4e3tQ62aRjHdis88iKZ3GbstiZDhKPHQUo30W6bQKg62I8d4etJYKvBMR6hY56Dt3Ck1eGWTkTI9MorfY2VjrxnLFNtxOPya7HoXqjdHD/SuIRRLs/sVpdL5B8revRa6WkUll6Ds/xUSfH4VaRslcG6mBAAUbComHEhhGpsg0aLAV5DK85xHKtrwfieJ1OqZEBJBA14vQeC+MtYqqU1Yl2CsgOAnzbhEVqWQClBpBbKY6wNUD3bshnYG6d4qKlWMWVG6EiTbIqQNzITz1YfGc6U6o2iZIUv8BUBnBPku0/ybahWYqNA0Fi8B5FurfDZX/nrYurxUz99BLgxkCNYMZvIk4O3GWak0J0uEx4hUFfPv4t0ln0pSZyljSkeQX1iYmw5NsbJdzok7N3K4Y++yTlOfWYlAaWJm3kiMjR3DFXfhiPhblLGIyNEmePo/tpdsJp8JUmCvIkKF5shmZVIZRaWQ0OMrl5ZfT5+1jcLCZad8Y8+s2YzrTzUCRhsecO6m0VJKty0YhU7C1VEzdxFNxpBIpcukrdTR//mfjz5W+0PHjqKqriXV1kxgfw7B2LTKzmZTPR7S7h+mHHmRqNIJqxSw6Whop63XTX7we9HKSFJL0nEKryyLjlUBJJWHnBfQ6KW55EIu8lsu/ewWNjz1D3/kpNLpS/GEomJOg91Q/akspeomK8g2zcO4dxJfuReOYRdCTYdH2bA4/fC+55bUotLVIJReoWbUB32SY7lP7KZxtZN6mbUjkb01LPPeIj6e+8RJzF1uwLqzFmqtDIpNybtcgpfVZ9J6eoGS+ne7DTnJrbSg1crIcEbRZubQ++yy1tWswLHgdPaCme6DlMTjxS0inQKEFmRJmXw6DR8FcJjRN0xcgf76YtEslhHhcpgCpQpCegFMIzBe+D8rWQFY1tDz+cnUpJrRNoUmwlotKV3YtXPMrsc8Tv4b2p18+QQNQsQH8I+Dqg5seh9AUlP/94Nm3G2buoZcGMwRqBjO4RHi+93nub7ufocAQ1dZqJr1O5Co1do2dFlcLGrmGOkstLa523l37bp7te5b3z34/v2r+FUqZkgZ7A+emzjEdmWaBfQEahYY75t/Buclz9Hh6uLzschonG1mQs4BaWy2nx08jl8iZbZtN01QTg75Blhnmc7bzCN5sCYdHD7M6fzXLzA0k5OBO+lmUs4hEOoEr4qJIlUPwwEGMW7fQ4+khlUlRlrAgt2ch+f8JSb1PP41+zRpkRiOBPXsInjqFPMuOwmYjIQXf3r1I5RqS9Qvo7WtCozFjq19Ix76DhPxpYirIMq/GExwmX6bBZ0oTcHsxmQtY94GN7Huwi3SsCZ87g72gmGhwiuolKxm7cJpF127hpbsPodYlkCqMXHbbGo4+sQdTVhaTAwNc8ckb8E6EMdo1ZNJJkvE4Kq3uTX/vY+k0e11+ttnNr/r35NQUIU+Y8R4PAx0BHHPy8U3HUKgV1K7O5czzg2iMCnLlEiZSKdIpCZFwkpAnRvXSHOSTYTKTHvSXDRM6WkPFO6tf+6Kf/yz0Hwb/MCADawk03ACpJBjzBIEqWALuHiHytlaI6Tr/sKgujTXBdX+A03eDuRjGm6F4uWjdOZvAXg1KA5SsgH3fgUQMcuugaxdUbRRkKjAOZ++DOdeJylcsCH37RQXMOwR6hyBZ826CWdv/z4jLZ+6hlwb/d+XzM5jBJcaCHNG2KzYUk0glmJs7D41Cw0BgAJlEhkPj4MJoE6Zgil82/RKjwkippZQqaxU3zb6JWdZZFOoL2V66nWx9NnKpnD9d+BP19no+Mf8TyGVyLGoLtbZaWqZaGPANkKXJwhvzIpfIaZxo5FHnM3QZphjwDZBMJSkxlTDQfoKTF/bijXo5PHqYA8MHkEvlSNVqjFu3sHtgN1KplCJjEQnnKOlXieI4evIxwgE3o3YZ4RVzMW7dguVd78S6bj2Fn/4Mxd++k+JVi6i02CnXalAEfXhTUywozcGQ1uHytRALTxIwRFHpSzBYM4wNneeJH9yNzqgip3I10nQXxiwfyaSb8GQIFTL23v0ilpxsCmtqmb2sFvd4iPW3bMaYFWfptdsBMGdrkUolyOSKi+Sp7eDeN/OtpyMYZbPNxAH3X0bCU8EgJx56iOEONxKVCk9TEE/CgCQZJ3/4AEu35iGVSRjp8BCLJHAPB7CXmymosTMxGGCofQqJDPzTUUJyL9GyKKOnql4f8nTsl9D8J0gnoGKTIDQf2iuI05LbQSqFZR8XAvCGd0M6CZkUGOyw7sti2s5WAfu+Da5+OHc/2KtAmwVIYOM3oOZKKF4Gw6egfAPUXgGhCTA4YLJTVKGGT0J2vSBbWeUQD4ipPqUWtDYhMperoON5GG0Uz5vBDN4gzFSgZjCDS4QvHfoSnoiHOnsdz/U/RyQZodpUTZu7jQpTBTK5jCpJDmeHTlBQ2oBWqcWus6NX6HFFXUiR4o16OT91XojGE1HeUf0OJsOTfHL+J3m291lCiRDTkWmuqbwGp99Jp7eTGlsNc21zuW33bdxcezODvkEcmmx+0fRzfrbhZ5ybPMds22yap5tZW7CWF/tf5MMNH764bk/Eg88/ic5g5ezEWcLJMItyFhFMBFH3jvGk5ByfXvhpAIJnTnNfyz0szV7CaJWFKyuEhsp1771IVGos73onCbeL8GA/CZWGcDoFEgm+qTSt+55DV1DG4vWLcY+naHzxLPbiCqQyDRM9O0jG4xizF6HWSpDGDZSvKmegZZiK+SUU1djeUlqm/4muUJQqnZoHzwyybXYOFt1fpiRDvhg6k4qOe14ARx4aow5d/zni9cs5f2waR5mJoVYXDRsKmRgMkFWs5tTOHra8dz6HHtpN2fxFBD2jmK15TJ8/h6lGzbwtf98I8W8iOAn3XAaeYbj9IGTPfvXtMhn4n4MbgQmY7obSlXDqd2CrFMRJqYeCheCYLTRRdTeICbysKujcCc2PiOm68vWgNkP/IdGeW3wrjLXA6d/AVb8Ua7NXw0M3CN+pZALC00IbFfGCxgKtT8C7HoLKdf/a8f+bYOYeemkwU4GawdsSocaJ/32jS4hDI4eoslRh1phxhp3Msc3hhlk30O3vxqwyU22rxh/zczbagzTHQTgZptvbzcKchQTiAcYCY5weO03zdDNquZqV+SupslVRaipFLVNz19m7eKLzCSQZCZFEhN39u9EqtWRrsqk0V3JP2z2sLlxNMp2kzlHH5JCPb875HhWWCtYWraVpsol32DZy/GdfZ2t6Nl889EXCCZEp1dp/gtHTh4gkIqjlaqYiU5yfOo9KpmI47KTaUs2Yc5r9p04wXm5h1eUfZmK2nXkv9hFtb6fb083k8ioMl29DIpWy23+STvcF5HYzxXUNFM+tp279PJauuoLZUi2DbROkkyNc/8VriIWV1K/Pw1Eymys//SlsuRIWbl9OSZWe6sW51K+rpqze/pYmTwBVOuHhtW5OLm3xOACJlyt50qEuBu5+lIjGTk6oi7Fzo3iKl9H34E7SGYj44tSuzKO/ZZrAdAT6/Kx/z2y6TkxgL66gZnkexbXVXGicRFdVj1Sm/NcW6WyCh94FxiL4Qu/fJk/w1+QJwJANA4fFz4s/BIWLRGsvtx4UGmG4GQ+JapWjRlSScubCzU9A0XLR5gu7YM3n4drfiIm9nj3QcIsgYL4RYby56ZtQtAzUekhGhMZqoh2c50CXDYOHYddX/7VzMIMZ/B3MEKgZ/FsiFI0x5Xv1bKZUMoluQfabvKJ/HEdHj/Lzcz8nV5/Lpxd8mrHQGLn6XA6PHGZN4Rrq7fX4Yj7mZM1BLpFjVBpZVbiKQkMhD7U/RKmplMV5iykzlZGvz2dF3gqW5y3HqrLSPNnMpuJNvLPqnWwv344n6qbIr6TKWsUD7Q8wFZli//B+sjRZRJIRWqZaUEqVqHPhUPAlhgPD/ODUD+hwd/Dtzrs4scyCdtbsi8acwXgQnS2b3lIVuwd3o1PoWJm3kkMjh0ilU+yVd/NA+wOcCB3mNIdQSuT4nn8eT8RD4cc/hbqmhg53B9b8cg66TxFKhCgb0aI/D/GTHTi7OomGRKq7da4Z3TsXsfSaVcxdvwmNUcv698xC03acrR++mqwCE+vecxlqnYLqrXVE29tRHHgCyf8veicdjV6S9/gfRZ5ayUqLgWDXFOee3sPo8U4kulzsa9eRicVRbb2KBe+oQLrnAao+8i5WFgyxdFsRBRo58XCKgtlWWvrCHHloEKNdjbM3zr47dxL0TJFfqUKlcZJMlvEvNRrSSUF0tv8XqAz/2gEueK/43vQweIehcIlo7UlkghDV3whRr6hUjbeIqTwQP/fuExYGbU9B61Nw9n645tdQugqe/4xwMwcoXAxj50S1KrtOVJ7KVgtxeTIk9tmzD575hFjHDGbwOmGGQM3g3wrReJLzA26aGof5/dmhi48nxkPER4O44kn27D1OYjJ8CVf599HgaODq8qvxxXx0ejpZnb+aIyNHsKltRJNRhoPDTIQn+OT8T2JSm1iWt4xd/buwqC30+fsIxUMYlUYqLBVc25eFBAnTkWmkUilWjZU/tP6BZ3qfod3dTiKZQBNK8K1j3yIcD7NrcBdPdj/JvqF9bCvdxomxE9zbei+zLLMwKo1MBCbQSDXUZdWhkquYlz2PLx38EkdGj/BQ20O8/8X3c3jkMHKp0FB978T3MKlMqGVqvnX8WxgPNJFIJ8jV52JT29g7vB/PqjkUGYsYC47R7+vnyvIrydZlU22pJjI4QM3q9cz57C1kX7kZS14+CpmMTDyOLCsL/ocBZHAqBFIZz/U+d/Exc7YWmUKKuqYG6803X3zc98wzBA8cvPj7+He+QzoSIel2k3m56vNWQDKRQiKLUJxjIGSWEm5x4bn7eSoK8pkeDqAsyKf4a58lnU5jvvIKFHo12jlZlM+zk5WvZ9U7q0jF0lw4MUY8kkC7oIpkUst47wQTfS7CnvP/mi9awUJ4/07IqvjXD874coyMzg66LLAU45vME67j+QvAmC+qUG1PQnAKknExtZczV9ghHPwBGAsEodLnwGSHsE+ovVpUn1pffl5gQmiktFbofF7ExEx2iMpUz26hi8qkBLlKp//145nBm47JyUluv/12ioqKUKlU5OTksGXLFo4fP47b7eaOO+6guroarVZLUVERn/jEJ/D5fK94DY/Hwy233ILJZMJkMnHLLbfg9Xpf89pmNFAz+LdAKJniN03P4h1XUaBTYo8UsnFdCQaNqIx4PB48e9sxl5aTqrGSpVQgkb11zTSf7nmaXm8vjeON+ON+PFEP28q2oZPrmI5Ok6vLZSo8xcbijdi1dn7d9GscOgfhRJgsbRb5unyuq76OB9ofoGmyiVvn3MoT3U8glUjp9nZTpC/i3NQ5FFIFpUYhPH/ywpOEEiFyDbk0OBpwRVx0ujuxqW14417ytHmkSNHj7WFZ3jLq7HUcHT1KJBFhOjLNd1d+l28c/war8lcRTATxx/0cHDmIAgVFpiJW5K3gyPBhyizlRNIRAtEAlR0+WsvkSJVKriy/kk0lm9Ap/jL1dnLXfZSv3k6WJgsQE3yauXNBIkVVVvq/nsfuk8coqZ+PQq2++Jhvxw6MmzcjUSiI9fQQOHiQrFtvvfj3aEcHSKWoq18HcfXrALczROtPHmHF9z/AU04X6/a3IM+R0NsMtddXkBgYQLtiBWFfHL1FXO+JWIqJfh/aqTAdkxGkcil956ZYsLWY6ZEgnvEAQVcPOrMe1/AZrv7sZ7DkvPnThq+GTDKJ5JmPwPqvQ3ACjDnQs1dUofoOCMKUjILGKCb8qrZAcFpUntw9UH0ZXHgBwm6wlAiBevl6YYFw6vdCTK5Qiym/mquh5iqhiTp3P9TfIHRS9Tdc2pPwOuPNuodmMim83tPEYpOoVA7M5kVIJG9su3zVqlUkEgm+973vUVZWxsTEBHv37qWuro7i4mLuvPNO3ve+91FTU8Pg4CAf/vCHqaur4/HHH7/4GpdddhkjIyP89re/BeC2226jpKSE55577m/t9h/CDIGawVsS58+fR1JSTt+RR9lnMBH3ZyiTtaDMfRcbglPMblhGYtCPpjaLSDDAueN7mLuoAYO57FIv/X9Fj6eHQDzAXWfvosRUQp4+j939uykzlzEnaw5GlZElOUt4/MLj+BN+8vX5PNLxCLMssxgJj7ClZAuFhkKiySjP9j6LQWFgVcEqKswV7BzYiSvsYmneUo6OHqXb081s22yS6STBWJAzk2fIkEH68n/5xnzG/GOUmEuIpCJ8vOHjPNX9FAXGAshAMpOkZbqFX8Sv59BcKdp9jbTNMzMUGqFxopE1+WtIpBOcGT+DVqFFKVUikUjQK/XEU3EKFQ5WVKznwNABjCojN/pmUbP2WmR6HQeHD+KL+biy4koy6fQrrBD+jF0Du9hSsuUfOq9Tv/wlhg0bUVdXveLxVDCETP9K8hA+cwbNggWX1LE+PjCAsqSE4e//mPiSrSR9SmzSIawblnD2sQE0sRQlCxJIVUoSOeVMPLeXivdtp++Pz5OqWYTbGSKrwICzx0PlwhzkCglth50YszTEIgn6WybQG6fQmipZfEUZRpvmkh3rX8E3CoZcMXHX8awwwlz1ORHdotCBTAVVm2DgqNBRlW8QNgjZtS/bGTjBMyAqVkotnH8UrvqZIFDBMeg5IDyoCheIalXeQtj1JeFmPv8WYZXwNsKbcQ+dnNxFV/e3iMXGLz6mUuVQVfl1HI5/7P/RfxZerxeLxcKBAwdYs+Yf8/Z67LHHuPnmmwmFQsjlcjo6OqipqeHEiRMsWSIif06cOMGyZcvo7Oyk+jV8kJpp4c3gLYVkMslEJEhWZSWfbdzBb1UJtOkp7tDWsGiwlI/YC8lWKCCaQlObxUDzOTzdI+SXLuCLw3FCqdSlPoT/FSaViQc7HmRVvtA1eaIeioxFxJIx3lP7HoLxIJ6YB5VcxecXfZ752fPZed1OZHIZRYYiFmUvQilTYtfaWV2wGo1cQ5GpiP889Z8kkgnaXG384twvyFJnIZFImApPEYlHuOC9QJo0UqRoZBokUgljwTHyTfmk0ilCiRCJVIJIKoJVbeXU+CkGvAOMBEb4rPZ5/tTxJ36b28G5yfN0e7rJ0+XRPN3MuclzhJNhkskkY+ExhgPDtLhaGA2M0hHq4/7W+8mQoVBfyJO6Lj55/AvcefROOlwdDPgGuOC+QNejd7/quVpbuPYfPq/2j370r8gTQCYRJ3jkCOnwX9q62oULL3ncT8rrZeLhx5koWYMpMYXF2U5g2s3Ip/6DqvUOam+bi6KmDs2cORizNJTftBmJRIJl81pwNZJxTQIZ5AopKq2MtiNOZAoJjlIjg61uZi3Jw5KTjyG/laGOgUt6rH8FU76oPmnM4ucPvCim81Ip0GeLaJZDPxQeURUbYeoClKwEdx+MnhW5egqNEKprrbDxTujeI4jV0o+JiT99lmgR5s2DCzuEeP0dvxbi9Rn8U5ic3EVL68deQZ4AYrEJWlo/xuTkrjdkv3q9Hr1ez9NPP00sFvuHnvNnEil/2Rz3+PHjmEymi+QJYOnSpZhMJo4dO/aa1jdDoGbwloHPN8DRY59k34nbeObgd1En/KxVj/BuxxJKlhSz7sPvo+PcIYzZNchMKlKxJMmpKNNmJd+LpPhIcRE62Vt7+grgxNgJPjrvoyilSrxRLzfNvgmVXMU7qt4BQIG+gMaJRurt9Tzf9zx19jqkEinXVV7HncvvRCPX8GT3k5weO41apqbOUce+wX18btHnMJ3uYo6mnK2lW9k7vJcsVRadrk5OTpzEF/eRefm/RCaBWWkmlU4RiAUIJUIUGYp4vv950qRRyVVkabJo97Rj19gJx8MMBAaYF7KzLTWbleeTjARGSKUE8ZJmpCRJUmgoJEkSCRKCqSDj4XGmo9OcnTzLwx0Pc3TqFMXGYjQyDXmGPPL1+Tx24THGl1cx6B+k39fPWHCMfUP7AC6K118LpvrbadF6kGq1Fx9LpVMk08nX/NqvBZqGBox1s7E278R5updYYozphx9DVTObdNMJIv2DjJzuI5PJEO3oYPKun+J96mmsuQai/RFyF5bjKDFSv6EIlzOELV+HZzxMLJjAXjDKYIubSChJ7+Eo1pzcf01I/kbg+C/h8VvhpW/C/u8KkgNgyhVmnAf/n2jnJSKiNWcuhDnXwPlHYNGtUL1FVK0m2kQVylEr3MnH24S3VPMjoFSKatM1v4K2Z4TJ5sARsU3NlZf08P/dkMmk6Or+FvBq1494rKv722Qyr/+HV7lczr333st9992H2WxmxYoVfPnLX6a5uflVt3e5XHz729/m9ttvv/jY+Pg4Dofjr7Z1OByMj4//1eP/DGYI1AzeMujtHeJYKotSKtlSXM6351zGHIMMtWcPbs+TRN1+LDI78jwtUX+Q3u5HmXL5kJ35E1/0jVOrV9N+eP+lPoz/FVeUX0GZqYxb5tzCu2e/myOjR/j0gk8TToZ5qvspDEoDG4s3Um4up2WqhWQ6STwV58joEQB0Sh0mpYn3z30/m0o2EU6GWZK7BH/MT95lV+GTx0mn02Rrs3GGnUilUuTIybz8j51VZcWus6OWqcnT5RFMBBmLjDHoH6TP04c34uX02Gn0zf3clnMtq/NXE06KXLxG9TjuAiO7amIU6gtZmb+SRDqBRWNBo9AgyUiQI8ehdjDXNhe5RE4wESSaiCJDhlKupN3djj/h5/jocfaP7GdVwSoueC6wZ2AP/pifpskmTCoTp8dPk0j/tUnnPwtNTS0L6rcwFZ5iMjxJ02QTP2r8ESfHTuKL+V71OcG40Hg1TTa95v3/LUzffTfe554npM0lLy+byHSa0hu3ER8aRp5TTPjQCeIt5/E/9xzhpvMoCgqQWa10HBmmpETH1HCQ1oOjjD69D7VGRjSYxFFspHHXIMVzV1DaYGe8+yC2/GIMVjVjPd437Fj+Kcx/jxCOT/cK8bdMJdzJH7tVGF8qtOJ76WoR6WIugsP/Deu+Ip6v0Ai38ew5MNYsvKMmWoRmytUrwo2XfgzkCnjkZrFNzz6Qq+Glb8Cfbrmkh//vBqF5+ntEI0MsNobXe/oN2f+1116L0+nk2WefZcuWLRw4cID58+dz7733vmI7v9/P9u3bqamp4c4773zF316t2vznkPrXghkCNYNLjlh8Gs/gOXa6HuMj5dfhm3JiSS/EGjzE+lkfJZBqQRafy/lDu0g5pLg8Hs489yTZedfgy9VSe/2XKVm5HIlUSs2qfy/DvFx9LivzVxJPx7ms9DLmZ8/n5NhJlFIliXSC2+pvI5VJcV/7fVxTeQ0/bvwxfd4+EukEe4f2sndoL7Ots1lXtI56Rz15ujzqHfUo5ArCiTCxZIxEKoFMKhOtO6mGQDKAHDneuJfx0DjpTJotRVtYnLMYiVSCJ+ahylyFqzaPZ/1HqbJWCeNOiZRoKoZKoaZQV4gn7mH30G4A8bdklMHAIEtylzARnaDb1Y1BZUAtEwJvuydJqTqfJblLODN+BpvaRrmpHH/cz801N9PgaMCmsVFprWSWdRapdAqFVPGK83XBfYHhwPCrnstU+tU/AU+EJwglQhfX6dA6eG/te5kIT3Bk9Aht021/9ZyT4yfRK/SUvUGausRUmPC5AWSmGnRlhZivWYs7uwZVZTkSlQnPH/9IMuBH6R4meOYMSY8bmcVKc5+a3pfamD5yGpnLSf0KG+1OIy07WnH2PULX6VHK52fhm+hjoNnJ+vdezZbb12KwqsmrtLwhx/JPQ6YQvlH11wmSpM8WlaRZ24R4XKqA4TMwdEy04rr3wIL3iwBjEFN3EbeoTpkKxMTe8o+Bf1xYFuTUQfOjoM8FiVQQMJURCpeKnLysWSJ3bwb/EGKxydd1u38FarWaTZs28fWvf51jx47xvve97xUkKRAIsHXrVvR6PU899RQKxV/+3cjJyWFi4q99AaempsjOfm12NzMEagaXFKlUjF0XnOzr9lOhvoaWszswZg3R4/8WvskmfL5zLFh9P1KPmjk1awgNThLom2TZTTdhsmrYvOKVYtD2Q/su0ZH86zCrzJiUJgDubb0Xq8ZKm6uNXH0uZpUZKVKW5S6jwlLBV5d+lTJzGYtzF7OhaAMNjgaKjEVMR6bp9fZyZPQIO/t2sn9oPzaNDblMTiqTQiVTkSFDOp2GNKikKmwaG3a9nblZc+n2diOTyDCrzCzIXsC+4X2MBcdQSBTcdfYuUukUwWQQT9TD3a1344l6WJKzhGxtNnKJnCxtFoWGQtQyNZ2uTiRIkMgkhOIhVFIVaoWaMmMpk6FJjoweIVeXy7K8ZXR5uxj1j3Lrrls5PnYcd8RN81Qzg/5BFDIFgXiAeOqVlgPjoXEmx3pJZ145jv5gx4MXK0a7BnaRyWTIZDLYNXZap1uxa+1kabIIJUJ86/i3sKltGOQGgongxdcYCYwAsKZgDecmz2FUvjGCXIVdS943P4VhTQXSeAjvw3+kQjuEfukytPOXIi/MwXH7+zDmmrDecgu297yH3vYgylSE0g1z8a5+L+qCPHoPdhPzhYlJDcjSG1i0vYLBljE6TnQyPRJlst9LwP0W8cLq2StIzkSHcB1390MiBAf+E+quh+lOsBaL1p2tFKouAzJC75RVAXNEi5tkFOyzhVHm6BkoXAizrgBHlfCEymuAjV+H4LjYTzIiIl9aHoVEHJJhGG0S+5nB/wqV6q/bX69lu9cDNTU1hELiQ5Hf72fz5s0olUqeffZZ1P+/iVyAZcuW4fP5OHXq1MXHTp48ic/nY/ny5a9pHTNTeDO4pBgffo6dhzo5rFex1RCiUBOkIL8am3UVsaiHpMeHxbSExGQIhUOLzKRiqKmJoroGYv0+NDW2V7xeJpNh/PSL5C6+7BId0euDaDLK412Pszh3MfFknONjx1mYvRBPzEO2NptubzdXV1xNLBVDKpHyUPtDdHu7GfIP8a7qd/Hjxh/jjXmxqCx4Y15sahuj4VFUEhWZTAapRIpeqccb87IgewG9vl6yVFk4g04ymQyRdASVXEU8GcehtMG0m1FjnMWOxXR7uommohjVRnwRHzqljnQ6TTQdJZFKYFQaSafSRFIRtpVt47m+50iTJlebS4IECokCmUTGnKw5uCIu4qk4V5RfQSgRYmPJRlRyFWRAr9QzHBjGorJgUAojR7VczX1t99EwJOeA2cn7F9zOkH+ILk8X6wvW86UjX+IHa37Az8/+nLWFazk+dpxUJkWJsYTp8DQWtQVX1MVc21wOjBwgkAiwoWgDh0YOUZdVRzwdR4KE0+OnWZSziJtqbkIqeW2fMwOBAH/sH+W9haUXbQgAwo2NyLKyiJ4/j379BsaONKMe7iJy7hRjqnJq3r0Kz/0PkPedb5OQaXA++jy+rFkY+k+Rnrcahz6M1m6ivTNFNJRk9rJcDj58AY1JQTqVRiqTUb0oh6Ja299Z3ZsEd7+IbSlZBZ5+EQScWy/E4cEJcHXDyk9DPAjpjDDAvPCiEIU7amDZx4S7eDwovJ+8I7DqU8I8M6sC2p4WXlMKrfB8muoUbcKmh2HVZ0SGXtcuUZFKJ6F0DSz5oLBBeBvgjbyHZjIpjh5bTSw2wavroCSoVDmsWH7wdbc0cLlcXH/99XzgAx+grq4Og8HAmTNnuOOOO9i+fTs/+clP2LRpE+FwmKeeegqd7i/Ttna7HdnLmtjLLrsMp9PJb37zG0DYGBQXF79mG4OZCtQMLimSEj+zytqYV1bD9Wu+wKKGr2MPb0cW1+I9cw5L1lKkKhmkobv9JFKVnJIlC5Fq5H9FnkD0ui11DYyNPXUJjub1g1quJp1JU2WpYo59DhXmCgwqAz3eHtqm29hWuo3RwCi7+nfhi/kYCY6gkCpYXbCaJ3ueJF+fT64ml4nIBFallanwFFKk6BV6NAoNRpWRSCqCVCKl19fLHNscxsPjhFNhrBorOrmOZDqJUWlkOjSBLa7EoXIwFBzCqrFikOlwqO2sKliFRW0hlUmRTCVFRUomJ5wKEyPG7sHdFJuKKdIXgQQsKgvRRJS59rlsKtlELBXDrrVzcOQgj154lG53NxqZBqvaSjgRFs7nCh0vDryIM+Rk2D9MyclhMvWzuKnh/WjlWvL1+djUNu46dxfFxmL0Cj1joTEC8QAbCjeQo8vh5+d+zoGRA6hkKkxKE187/jWap5uxqW386cKf8EV9TIYn+UXTL3ix/0VOT5ymwdFAn6+PlqmW1/ReGgwGPlY3C++E+MQcPnuW+PAw8uxsYr29mK68EpleR7tegvLKrRTc9RNyTBFOPruXxMarkBmNnPrVHvqn9RSWqHGGzZzeM0r/3haUBQWY7FoKqi0cf7qXgiodmUQa31iE3HITWuO/GOPyeiIZE9UiW5UgNTn1cPoPcPwXQjSeVSmm75RaYX7pGxRxLFobXPFTQZ5AhBn37hc+UBu+Iow41S+TBWM+FC8X5Kh7l/CP6t0HciUMHIQLO0WYsVQq9rPhK28b8vRGQyKRUVX59T//9j//CkBV5dfeED8ovV7PkiVL+PGPf8zq1auZM2cOX/va1/jQhz7Ez3/+cxobGzl58iQtLS1UVFSQm5t78Wt4+C+t/gcffJC5c+eyefNmNm/eTF1dHffff/9rXt9MBWoGlwSx2BQjk4eZco5wRpHHuyvq8cqL6Dy2j/lSLcmyMEmXhcLKeUgUMhJjQRQ5OqRaxd98TbdzBGtewZt4FG8s3FE3Y6ExVFIVZrWZLE0WR0aOcGDkAF9Y/AVu3307comc3275LdORae5tvZdPLfgUVz59JZ6Ihyx1FgPBASRIKDIIJ3Cj0ohSKm6qsXSMuba59Af6iaVieKNe9Ao9BfoCVhSsYM/gHqRIGQmMIJVIWVe4jsnoJL2eXhb5rATkKfqMEaLJKIFEAK1ci1FlxB1xE0qGUEqURDNR6qx1rCxYyRNdTxBLxchIMmwt2YpMIsOqtUIGys3lxBNxWt2tGJVGpBIpWZosTo+dJlefi0auodvbzfzs+VRbqpmOTrMkdwlGpZFjzmM83fM01ZZqluYspdZeyx177+Cm2TcRSobI0ebQ6+7luf7nWJCzgFJjKUtylrBzYCfXVl3Lzxt/TigZQq/Uc2TkCJ9Z+Bl+eOaH5OpycWgdqBVqhrxDfHHpFykyFv3L72cmHid49CjalWsI+WLECWGxWJDJZMSHhvDv2oXUZCbt8YDFRrhkHu6RAHVXzaX597uwL5hF94khskwZYmdP4Z67Fa1Rg3s8hDQawlwcoutwCyb7YmZvrGD2stzX61L815FKwrGfiUy76R4RCVO1CUbOgCEPyIicvO7d4uf8BYLYPHMHRH2w5Ttw8rew9otw31XC02nezcIks3CJ8IbSZwuxeSIKPS8JE82xFvHdUiZed/AUVG+Ejh1w3e8FaXsb4dL5QOVSVfm1N8wH6q0O+aVewAz+b8Lni7Gze5S+lJ6q9EEGEvMon9XB4jo9OutiNHIV0ZSXhDtGtNOFeWspLYEw8mCS2fpXNwSMhUNv8lG8sbCqrVjVVsZD4xxzHsMX9bG6cDXlpnJG/CNsL9uOXCr+F+5yd7F3cC8KqYIiXRFjgTEGg4NIkFCoL8QVcWFRWXBH3Vg1VjxRDwWGAvwJP66IiyxtFlWWKuoa3UQ3VgjNkMaOP+Gn0FiIXWOncaoRq8qKWWXmiH4Mh9bBmG8Mk9qESWlCgoQaWw3OgJNubzcqmYqlWUtRypT8vuX35OhyCCfC2HV2jCojj3Q+woq8FczPnk8kGWE6Os3inMXc334/Y6Ex/rDlD/zg9A+4vPRy9g/vp9JSyd6BvYwHxvlg/QfZNbCLcnM5ZpWZd1a9E4VMwWHnYaqsVUiRsnd4L19Z8hV+2vhT9Co9H5/3cfp8fbRNtbCkMYB1gZVBvxC9H3Ie4ujoUew6O6FECIPCwLqidTzc8TBqmZqx8BgPdTzEB+Z+AIf2n9N6jHS6KZhlRaJUoqmvx/XkUyTyqlFUO/Dv2YM0lcKwcSPWm2/G+a1voXBk4x5wIxmLoi8sxjUSRFoxG6lvglnlErxHjmO4+SZy9WoOP7gfpdlOSWII53QDpnwjGoPq0pKnRBRkSkjF4b4rhA5JoQGVHhQq0FhFDEssCJm0mI7LpIUofLRROIwv+5ioQsVCsOYLEA2I1+s/BKFJ0a7reA6qtkLYCzm10HtAPHfwKJStFWTNOyBczGMe0QIsXS2I2Qz+aTgcW7DbN77pTuRvZcxUoGZwSfHTg0+TrbKy1FRGLDTK+Sw7WYYs1tmMxEcCyG0apBo50R4v6gozAAHXNJ4xJwDZ5RUMnj9L1dKVl/Ao3licHj9NKBFitnU26UwarULL7oHdXF99PZlMBn/cz+6B3fhjfnb078CmstE42YhOqcMX82GQG/An/ShRopCJ2BV/1E88HSdXn0upsZTm6WYUUgVZ6iwW5S7izPgZWqZbyNPlsbxgOUeGjxBIBFDL1dRYajg5cZJUJkU4HkYmkVFiLmEqPIVarsYVcVFprmQyMkm2JhtP1INMKmMgMMD2ku3sGNiBUWGkPrseu9pO02QTdp2d7636Hq6Ii5+d+xkKqYL1Res5M3GGQf8g8WQcf8KPO+xGLpHz8YUf55nuZ1DJVXxu4eeQJ1K0+i9w9cteWqfGTtHl6eLmGpGNN+gfpPfYLlZUbeSG5s/w2fRG5m18Nw8PPIkz6OTk+EnWFq5lXdE6wokwT3Y/yXhoHG1fLt2OM1SZqigyF6GSqqgzN3BZ9at/4k4mUsQjSSYHA5TMzeLgwxdYsLXkovap9eAIBRU6wu4IeXPzSMRTJOMpAn/4DYnxMWJJCZNRM5n8UpQFhcy7YRGx7i5a9vQROXGMVfd8nSNfv5+ItZiU1oKvawR1sYmgR4E1V8/ctQWXXvM0cka06rQ2yJkDD98CZaug/RmhPZpsExl13kExcWctE3Et3btEm+/svbD2K3Dov6B8nSBX/lFwNomqVcMN4vXVJmGqWboamh4EvUM4m091ga1MELTxNrAUgnsAtn3/besBNXMPvTSYIVAzuGRobW1lePgU03lqlibluPyjyHQhSqTrkelUWGcvYHp4EPmohJbhM6QkcdZedwOdRw/h7O5kydXXozNbGOu+gMZgxJzzFmhZvEEY9g/jirp4vu95rii7AlfURSwZY2PxRhQyBZ6ohy8e+iIDvgFcURcamQZvwguATq7DprJRNJXGll2KUxMl52g38k1r2Du6H61Mi11tx6azUWmp5KTzJOFkmFQmRY42h6noFOFkmFA8RIGhgGxdNmTAFXXR4+0hkozwhYVf4LctvyWSiGBSmcjSZNHl6cIYkyLJZMjOrSScDDMSHEEv12NSmRgPj9Ngb0Cn1NHt6WZD8QaGA8PMt8+nP9DP0tylOENO5BI5p52nSZFiIjxBIpVAIVXgS/ioMlfhiXm4LFSGpbyGhEHNFSXbSEgzHBo5xMLshRx1HmV72XYymQw7+0XUjUQi4ZbaW3ig/QH6vf18fN7HOTR6CIvawtmJs3xi/if4yuGvcH7qPA1ZDXhjXhblLqJ3YoAPFX4cR7kejVxUQjuPOcmROJF6p/AULiYciDN7WS6DbS7kZ/cTyG9A232CvPffSNOjZ6hbncuFs25KTF5OnIiRZ4vja+mmNDdK75F+1LWzmZIXUBY8S/qqWyk0eeltDzI9ESfsnMaQa2HcJSVjsJCXIyFvLiQzhVQvyUEqfYvkP7Y8JjyeLrwgSE/NFaDSE/KMobMWiCpQ86PCzmDFf8BEK4yfh+3/LYjP0Anh6bT0djEtt/+7opLk6hYBx3vuhMpNEA/DdJeYrIuFhTD97B8F6VKooWCREJBv/Z6IgXmbYuYeemkwQ6BmcEnh8UzSPfAEo45rWBFy0zv0n6RjVgpmzae4/H007nyGvoyMhpVrkPVdYLK/F7XegDknl7DPh2tkkNrVG7Dmv320T38PiXSCnb07qXPU4Qw4aXO1cVv9bUSSEX557pccdR7FFXHh0DoY8g8RToWxq+2o5WpSwSBGnY1FRcs4MnqEEkMJyUySQCLA/Kz5XPBeoMJUwf6R/SzOXYxOrkMmlfFC/wvoFXquLL+SXYO7GPQNIpFISCVTyOVyluUto2WqhanIFDqFjlJT6UUSFxofQYWCfrWfWmstF9wXkMllyDIyMpIMDY4Gys3ltE+3U2wsxqg2opVpkUgl9Hv7GQwMcuOsG7m//X4kGQk/Xf9TvnDoC0xFpphtnU2lpZKmySYqzBW0TLegdPn5QPZVdOSmCSfDLMpZxOLcxQwHhsnT5QGws38nV5RfAYAz6GRH7w46PZ0syF7AhqINOINOgvEg5ZZydg3s4oTzBBKJhBprDUecR1ieu5xkt46bFl1PuuUUlrJsunc0UrSgmIx7EuuNNxLt6iKhNEB/J9LZdSQjcUyluQy9cAKpbxqlZ5h0LI7+imvw3/t7WiUN6EJOsr1tSONBkuXzGG124lhai6E0F4+thrEzPeQuLKdwto2QJ4atwPDWEIn/TyQT8OgtIkLF0w+BKajeTKpiM32H/kSlKSWITesTQvRdskpMzpWtgbanQOcQOiidHawlYpIuGRUeTv5RUcUKuyHqAV22sEJY+hF4/tPgbBaCdJIiIsbVDVf9CqY6YMF7L/GJeeMwcw+9NJghUDO4JBgZGUEiyfBE/7PUxbIp184l4+nDE+giaDuPUqohQYiU4lasSjmmrCwSAT9ZRaU07niKxVddx8D5RnIrZ6HS6tAaTZf6kN40DPmHsKlttLna8Mf8bCzZCMAHd32QSDJCJB5hQc4CHu16FAUKluYvZcA3wOaSzdzXeh/5hny8MS9GpZFcfS75+nwOjxwW02waG0ggkowwN2suzVPNTEemCSfCqBVqdHIdHa4OqixVTIYmmZM1h3dUvYNfnP0FI8ERNpVuIpKIcGrsFIWGQlwxF+6wm3A6jE6uI5KMYFQaMSvNOENOPrvoswQTQfQKPT2+HmZZZlFlFa99YuwEpaZSQskQyXQSu9bOvsF9mP1pptVJDGoTNp2NPl8f/pifWDLGLNssJBIJarmaYn0xG4o3oFPqmApPUWGuQCFTvMKBOBAPsH94P/m6fAwqA8/1PodJacIz1E1+eT3XV12PBAm/++EtqLZuJJAMIpfKyR7wc/Wa2wkdPUpscAj7xz5KfGiITDSKp7WHiK0UzeEnkNvthIoXoPCOYW2oxHeikY5RHbMqILR/P4nNN5ElneT8U81UZPuInj1LxuXCvfRdlJYrkBaU4i5YRF61DYlEgsn+FgoE/v9jpBEMOYIASSRimq5qq2i75dRD3C8m4pznRZ6dowYqNonK0WS7EIKnEkK7FA8Jr6juF4S/U14DGHNh33dFNt4VPxP6p779sOFrInBYroYdn3nZBiENpjyQyEW+nikX3vFbQdLeppi5h14azIjIZ3BJYDKZ6Os7gt39HCpHEYdHK5hjczA0HcQUkTJ3040Ep704R6aQ+mLoLRp0s4s4+qf7WXbduwm6XSjVWgabm6hZ/e/lPv5a8edJsBxdDkqZkkQqwUOdDzEdmcahcTAeGqdpogmL0kIinaDT3YlarkYhU5CWpLFrhFDaHXVfJEyJdIKx8BhWtZUudxfVtmo6pzuZikyRSCWYikxhTpkpdZTiDDnJ1ecikUg4NnaMNncb3qiXZCbJzp6dpEhh1Vr52LyP8ZUjXyGajqJX6Hlf7fvocHVwwnkCX9xHjj4HqUTK/qH9zLbNpt3VTutUKyvyVhBPx1mQs4BzE+dwhpzMc8yjabIJlUyFf7SdtStu4PGR55BIJTRNNrEiZwUXfBcYD43TMtXC4tzFOINO2txtrClYg0VtwRFT0dJ2AEVNNXOy5iA/14l+/jw6pjsY9g9zk7OEwqIcFjkWcKSpC0+eB5/LydNju+lbWkBw6gzbL+iov+WTnOIAh33nWLhlLardh5BIJKSDQWLd3dDeSsln1jF5XIHEaESx/zEy0RijD/4Wp2EuqbScof0dKNZfie6H/0Goqor8oQESLj1T1Zsp8J1nxa+/ePH9zrlUF9o/iogXnv8P0SJLxMB5Fio3CiG5Sicy6Pr2wdIPg7VUTNZ17RYeTzGfiG0p3yAIVt8B4Q3lGYCrfylafW1Pi0rWth+I/Ltz94uWX8ONwg4hk4Khk2AtF+aZrj4hOM+pgbrrIOIRv7+NCdQMLg1mCNQMLglCoRCDg+O0ZuqpNtlYnn0Gmf1GJJVuqrI2k0xOEZeew2LNhhwnqngd3ceP0bB5Oy/97udojCbi0QgKlQql+i36qfwNRpGxiDMTZxgPjXNN5TUM+gexqW1c8FzAqDbijDgpNhYTSoW4d8u9/PTcT6myVqGWqyk0FBJNRun19bKtbBunxk5RbChmLDTGJ+Z/gu+e/C75unyUKBmPjrMydyWhVIg+bx8mhQl3zE21tZpKc6XIzVPqiSVjODQOis3FpDIpftT4I6ot1UikEkb9ozzR+Rh2XTaJdIICQwE2tY2fnvspMomMbH02dy6/kx5vD43jjdw4+0akEinuiJtzk+coNBTSYG9gPDzOoKWKa+bcgMZg5unup7Fr7IxFxijSF/2FZMX8ZGuzkUlk5OvzOTRyiMpghKZYH/WJYlLnWxnLkuNIB9lUsokiQxHf8HyHD+R8gFNHn2TWvPV4emUMjR3jfWtuZDAxwXO9z3FPwWGsx79FMBGkKlzFutINcPl2ADS1tWhqazFffTWZRIKQLIF+aopIaxueq1dhcI6gKvFRZS3F36hAkxlj/Mo7mLWiAO9TT2G87DKK59QSaay5xFfWP4k9d4o2neJlZ/HSVcKwcrRRiMDP3g+Vm4V/U/OfYP/32CNZyqbKYjj03/DO+0SrLZ0GrR0STbDxG6LC1HsA0gmo3gY7PgsFC0Wrz3kWdn0FpHJYdoeYzvOPiZgYvQNUJjH5pzGL/Ur/706KzeCNw0wLbwaXBJFIhOPH/8i0a4D6egOTEy7GAhtpqMnFd8LLohvW4vE2cv7s8+QXaTEq5xDNOCkuvhWAZDyORCJBIpMi/T/4j2M4EebE2AkWZC9gOjJN63Qrh0cOc9R5FFlGxmJ/FsN5CkaDo7y39r2cGD/BsH8YjUJDKp1CLpXji/mYmzUXg8pAJp1hIjzBmckz5Gpy0Sl0LMheQL+/H3fUTZ4+j0JDIbv6diGXyrHr7HiiHkqNpcTSMc5PnUeSkWDX2cnT5+EZG6AvPYFMocKgNKCWqik/NUr34lxi6RieqAeb2oZZZabEWML8nPmUGEuIJCM80/sM0WSUPF0eH5//caQSKXc33817at/D8bHjeKIeJsOT5GhzhLXB0F7OTpxlZf5KmqeaCSaC2DQ2rvdUcbjAjzvq5hPzP0GVuogH+x8n99QAU/l6Irlmbph1A60nBzg0/CsWD6tY/fkf/uUcnz3Lft0wa8s28uPGH5MhQ442hzPOM0xEJnj8ysfZObCTK8vFZFdg3350K5Yz+dOfkrj1OkYefBxL4wBZqxYQck8wpo5REFahr5pNbKAf45ataGpmX6pL6LXj7AOCJK34FOz5qmi71V8v2mltT8Oc60SlSOcQNgN174TgpCA4IDybKjaKiJeO52HTN0X16ciP4YYHhWmmLktM0MX8YMiHoSPCjkAiBXstnPolzL1e+EL5xsDgEFUrjQ02fU3opd5q6NolPKw05tftJWfuoZcGMxWoGVwSaDQa1q+/HYB0Ok0o+HPi+nHaB52sW7yERDCAc/Rhliz7JB2dX6e49v3EYtMXny9XvgXFs28itAotawvXEkqEeL73eWZZZzFPUkRDQwM/Pv1jesNDeMMGysxlPNb9GCqZitqsWrwxL52uTpQSJTatjXgqTiqVwhVz8dF5H+UnZ35Cvj6fifAEnrgHiUSCL+5DEpSIXD6pFM24B7vFStJsYCAwgFllZkvxFlwRF62uVqosVWR8aewGE9W58xgPjdPr7SU434Q0FSWUCFFjrSGSjBBPxzGpTTzZ/STvqHgH+4f3s6FoAxtLNvJA+wN0uDrYM7iHYkMx56fO4ww6sagsSCQSNpds5vfNv8cdc1Ofzmebrxgc0D7VznR4mh2yOOuz38Hvmn/H5w9+nvnJPBTeEJpl2xhz9XL7rNu589id5PSEKNPnUrVqFV2eLhL7j1BzzfvR1NUxK2hiMjRJra2WYm0h7l//mstu/ii/mX6KRy48wmhwlMU5i8nR5SDRaIj19UEySfiJZyjMKSekHUdms6GanqYkpMF6w7tQlpRc6svn9cF4syBQT90OfidYSmHgmNA8RbzCr2nu9aJi5BkQz9HZBTEqXwcSmfB6Upth3Veh7yAc+gFcfx8cvQsabgK9HfoPC6uDk78QtgehafANiSpUGmh/FuyVcNVdgoAptCJbT2W4dOfm1dB3ADxDsOvLcPMTULTkUq9oBq8RMxWoGbwlEAy6OH9hJ92TO8hSjjK/8tPkFFyOVKogEOjAYPg3/qT+BuM7x79DKpNC0tRB7vL1PNb1OKvyVzEaGmWBfQGP9TxGJpOhNquWlqkW9Eo98WQciVRCri6XTk8nK/NW0uHuIEOGefZ5hBIhdHIdk5FJOlwd1DvqaXe1o5QoWZm1iMHAIGZTNq6IC6PCiFQmRavQ8tLAS9g1drwxL4FEgPVF6+n19KJX6JHL5LRMt5CrzWU6Ok2JoYSMJEM4ESZXn8vGoo2cmTiDSWUiEAuwqWQTpydOk6fPY1nuMnL1ojJ2zdPXsCx3Gd2+bm6ZfQvxdBwy0Ofvo0BfQCgWQnemg5fyvfgSPoZ8Qxejai4rvQxXXzum453IKktZbmrgaFUGk9rEyuylTDceJ+6a5um8Md49UkjcbmLIkqKsqJ5B/yAvDb3E1pKtdE9fIOtPBxgzp2mIOqi+6cP0ff8xStbPId13gb7ICMu/8ysizc2ETp3CfPXVxAcG0C1efKkvl9cXUR8c/5WIVKm/AZ75uCBHE+0vR7QkwF4FE50wexvYq4W9QWBMtN+e/hhkzxZkau514JgNGgsc+wWoDbDgfaJS1b5D2BK4ekXQcHBCEKn8+aDQixbg+q9BVrlY13QPRL2i5fdWQcvjcOYe0Vp81wPieF4nzNxDLw1msvBm8JaAXm/D7DDiTCwjLJtHdv6VSKUitmWGPP1tvNj/Il9Y/AW+uvSrBGuLSKSTlJnK2Duylz5PH492PYoUKQqpgvbpdpQyJXKpnPk58wnFQrRMtTDLPAt31E2WJotiQzGHRw5j1VrZPbSbPH0egXgAjVxDOpPGH/czGB/HQ5iJ0AQKiYIubxeFhsKL9gZKT5jF8nIaHA2E4iEG/AMMBYZonm5mZd5KpiJTAISSIaxqKxkyeKIe7mm9h9qsWswqM++d817WF68X65XI2Te0j/3D+3m251luqbmFFfkrWJi9kOf7nqfKIryguj3daOVa/HE/3YVyGqcaydZmU2QqwqQ2cXnF5RibB5ClJUizrGx05TIocXOdYRVTJw9z8KlfUFrcQDjXxAe9dQTXzsM2EaEp1IVBoSd2tonF2Yv52dmfcaxjFzVuNWXHRwidPoX3+BFm3bwOXVkhWbfeypLPfg+JVIq2oQH7bbehcDjeXuSp6WFhmKkygiEbhk6JqtHSj8LgCfAMg6lQmGnqcoTQW6mH849A25Piu7tPRLOUrYVZ24VVQdtT0PQITF+AknVC0zR6FhJBqHuXyMkLTkFgXHhATXXB6d8JMjLZ/pf1ZVW8tcjT0AkRcKzQwPI7Xlfy9HbH5OQkt99+O0VFRahUKnJyctiyZQvHjx/H7XZzxx13UF1djVarpaioiE984hP4fH9xmx8YGODWW2+ltLQUjUZDeXk5d955J/F4/DWvbaaFN4O3DGoLr8IiEw7jf07RnsHfx9bSrQDsG9qHWWXm2Ngx1heuJ5lJMhGeYJZ5Fl2+Lm6pvYViQzFfPfJV+n39AASSAVblr6JpsokcXQ4LsxfS7GomV5fLidETZGuyubzsciQSCQO+AUrNpUick0i9AUZTo2ws2sjR0aNsKtnEkdEjOINOzCoz08FJShVlFBly2dGzgxpLDZOxSepN9bS720llUliVVkZDo8gkMvQKPVa1lXmOeRQbi1lTuIbGiUZ+e/63bC7ZTKW5kjZXGzW2Gp7rfg6NQsO97feyOGcxNrWNpskmZlln8XDnwzRNNVFtraa+/DKGTrkYCYywrnAdR0ePckvNLeyvjTDo7sCyvIz7pyZZNf9qdp98lMVrb8Q8FUGm0zFrTIZEJiF07hy2ddv5gsPOS+3PEW5pIefRvXzjUx9j32M/4sjqMgpD61CVV7IvK8YHyxcge7t/+h9vFflz826Gpz4qJuxSCcirF221oz+GqW6YczW0PAFKDbQ/LdpxF14Q5EmhFSaYw6eE9YE2S2ilVn5KVLN8g6IalY6KfYbdoLXCiV9BBgiOgs8pTDPHmmH2lUJjVXPFJTstfxPT3ULz9cwdglxmp/8SgPxviFQmwwlvkMl4EodSzlKzHpnkjTVvvfbaa0kkEtx3332UlZUxMTHB3r17cbvdOJ1OnE4nP/zhD6mpqWFwcJAPf/jDOJ1OHn/8cQA6OztJp9P85je/oaKigtbWVj70oQ8RCoX44Q9/+L/s/e9jpoU3gxm8DXBs9BhPdz9N81QzNo2NSCrC2oK13NN6D0alkbVFawnEA3iiHpDA+cnzaKQaau21uKKiDTccGmZV3iqW5y+ncaKRU2On0Mg05OpzSZOmx9PDak0d7kyQE34R/SKXygmlQqwvXM/5ifNMRCZIZpKoZWqsKivd/m7W5K+hzFjG6YnTTIenSZNGJVOxLH8ZHe4OSIMz5KTcXI5cJucXG37Bgx0PsjR3KfuG9hFLxRgLjbG5eDPP9z2PUWlkTtYcqixVxFNxgokgqwtWc9fZuzg3eY5NJZs4O34Wh9bBMecxosko5aZyFuYu5Pzkeert9SzKXcRwYJhFOYt4uONhFucuRilTsihn0cVz6mo9izG3GIXNRkfjHvqDQ/Sc20dN/nykw+O0lss5Ku1jxYQZ2fy5fGz+xy/hFfAmwTsstDwFi0RlyD8qiFDN1UIgPtUuAnzLVok2nDEPtnxXVFyme4R/U2AM5lwrNEBhNyRj4DwnKjQLPwADh8ExFyLTooq1+ysiCy9/EXQ8C5OtYKmA6i3iedt/KKpXufXCg+qtgLHzYqrwyQ+DBLBWCEIYdsFtB1733b0Z99AdU16+2j3KWCxx8bFclYLvVOaz3W5+Q/bp9XqxWCwcOHCANWv+sYGAxx57jJtvvplQKIRc/uo1ov/6r//iV7/6FX19fa9pfTMVqBnM4G0AX9xHhbmCdCbNyfGTFOgL2D+8n1xtLtFUlPOT5xkLjZGlziJbl80s8yzSkjRzsubQMtWCQ+cglAyxc2AnE5EJ5mbNZUvZFq6rvI6vHP4KPb4eFCg4EG5CIVVgUptYYF/AC4MvUGQo4vT4aRblLuKk8ySRRAS9Ss9oaJQKYwUSiYSnep7CqrESSUWwqqxkJBm2lWxjcfZi3DE3eoWeCksF0VSUQf8g28u2k6XJoshQxFBgiFQmxUMdDxFOhPnuyu/yZPeT7B7cTSgR4vKyy9k7tJch/xCzrbO54LpwUWellqnJkOGuDXfR7emm291N40QjufpcFmYvZCw4hkPjQCVT0eHqwKAwcH/H/Xxp8ZcwZRcSHxjg0NABKorrMQdVrJ69gAPDB6hasI6bcpdwWdTNH5r/gNfVxiOdj7C1ZCtmtflSXw5vDNqeEiSo4UYhBC9aBs9+QuiX9n0HSlcKKwFzoWixVawT1aauF2H0DCjN0PIo3PiQIF0KLZAWlapYACq3iMgWbRa0vuxIPnZOkKxUCgaPg7kIcueJMOJZ26BkmSAlJSsu9dl5JYKT0PQnMT1YvAykSijbBkVLL/XK/iXsmPLywdYB/me1ZTyW4IOtA/x+TskbQqL0ej16vZ6nn36apUuXolL9715efyaRf4s8/Xkbq9X6mtc3o4GawQzeBlhXuA6pVEqdvY7NxZspN5eTSCfQq/TMsc/BFxeagKHQEIFYgGJTMd6Yl2gyymhwlNHgKMl0kv9c+Z9MhafwxXxYlVbuOnsXt9TewpaSLcQzwjpCr9RToC9gLDTGAscCdEodRpWRY6PHWJa3jBxDDqOBUVRyFbfV3YZerqcuq45qSzULEnkMBgdJZVJ85chXuLv1bv7Q+ge+f/r77BnYwzzHPB5sf5Cjo0cBeL7vec5OniUYD7IibwWfX/x5IskIpcZSUukUH6n/COlMmg5XB63TrZyfOk8iJXymHDoHqwtXU2Io4aXBlxgNjoIEPrHgE5hVZv7r9H8x6Bvk+NhxVHIVZrUZmVTGt1d8G71Sz5AyQJ89TUt8gEAmylhiCqlESpFRkLpwMsw9LffgjrkZ8g+xq38XN+y4gQ5XB4l04u+9Xf9+OP4LaH8OgmNi6i0eFv5OKh1EXKKFd9XP4T1Pi4k6jVlUjzRmMYGntUHJUrjiR8JVPOAUuqBMRmTlWUqFW3kiCqd+JwjYRItoB/pHIOoWRp1Z5VC8QmTbFS+D4pVgq7i05+bV4OoFVxdkzwWlFsrXQNNDwtDz3wypTIavdo/+FXkCLj72te5RUm9AM0sul3Pvvfdy3333YTabWbFiBV/+8pdpbm5+1e1dLhff/va3uf322//ma/b29vKzn/2MD3/4w695fTMEagYzeJtgU8kmsrRZxNIxLnguMN8xH4fGgTPkRIqURCqBSWFCr9Bj19pZmb+S0xOictTr6cUddXN3891EU1EmQhMcGj1Eh6uD7xz/DplMBlfEhVllJpaKMRmZZCI8QTAZ5PKyy5FJZKTTafp8fdw8+2ayNFkEY0Ee73mcC+4LKGQKzk+fR+mPMt8+n3AyTCQZwRly4tA4kElk9Hp7+eTeT1JqKqXD3UHTZBO1tlqsSivfOv4tdvTt4L62+/j+qe8zFBjii0u+iEwqY8A/gDfq5frq67lx1o3E03FeGnqJXm8vj114jCJTEYl0gn5fPx+q+xBD/iH6/f3cufxOdg/uJkuTxZmxM5SaSun39yOVSEmkE3R7uulLjHHb/I+glWsJxUKcGjvFoG+Qm2ffzIBvAKPKyCfnfZIqaxUV5goashq4v+1+fnv+t5f6cnh94GyCU38QESxVW0Rgb8UmGDkNSp2wDai5WkSxjJyB8w+J6TeVSeh/xtvAkAv22WAuFvl4z35CeESp9KKq5KgWGqjCJSIbL5UQ1anxZjGpp9ALUla4EFZ9GrZ8C3Q2sT71yyL2twpSSVFNu7BTOKMrNFBzlXBbn3ezCDn+N8MJb/AVbbv/iQzgjCU44Q2+Ifu/9tprcTqdPPvss2zZsoUDBw4wf/587r333lds5/f72b59OzU1Ndx5552v+lpOp5OtW7dy/fXX88EPfvA1r21GAzWDGbwN0OftI5AIcNJ5ktNjp1mWt4wHOh5gKjqFDBllpjKmwlNsK91Gs6sZo8JIf6CfdCZNrVXYG6jkKi4rvYwXBl5gvmM+/b5+AvEANVk15OvyGfAN4Aw7SafTaOVaJsOT2LV2lucvp9JSyYPtD+KP+9HJdSzIWcC+oX0E40GmIlPMy55HOpXGF/cxEZrAprFRZCxCIVXQ5+uj2FhMlaUKg8rAu2a9i0c7H6XGVkPjeCMD/gGurryaYDzI+anzbCjaQJenC4PSwLO9z7K9dDuD/kGurbqWHzX+iA/M+QA7+3eSTCV5svtJ3j373RxzHiNPl8cs6ywyZFDJVBwdPYpcKsr8v9r0q4v5eBOhCR7seJBbam7BrrUz4BvAH/fzbO+z5OvzachqIC1Jc2b8DG3TbWgVWkYCI4wFxrip9ibOjJ9hSd4S3lv7bxxem8mISlPzozDWAnKFqDKpjJBdB6kopGIQCwkilIiArRLkGhg8DIWLQG0SQcGeAVGxUhvFJN5EO5y9T1SUTv1WWBcodOAdEhorqRRkGtDbwDcidFFLbhe2BTm1l/rM/DViQXEOYgEIuUV17czdQnCvsQpbhuAk1F4Fy98YndwbeQ99asLDR9oH/9ftflVTzDXZltd1338LH/zgB9mzZw+Dg2JdgUCALVu2oNVqef7551Gr/3rK0el0sm7dOpYsWcK9996LVPra60czFagZzOBtgDJzGfX2eq6vvp51Revwx/3IpDJW5Kxgc/Fmio3FWNQWjo0do8/TRyKdIF+Tj0auIZwI49A5uKbyGh7vehybxsawfxidQodBaaDT1UmXp4uNxRuZZZmFVW1FIVVg19q5suJKRoOjfPPYNwnEA3xo7ocwq82ccp4iGA9SbiqnLquOHG0OiXSCcCLM7KzZjEfG6fH00O3u5qbZN6FVaKm0VBJJRC5OCarlaiqtlXx/zfcZ8A0QSUaoNFdiUVvo9/WTr8/nsws/SyKdoGmqif86/V841A56vb3YVDa6vd3Mss1ifdF6bp17KxXmCq6pvIbx0Dh9vj5urbuVDcUbWFu4luf6ngMglopxeOTwxSodiMicqfAUX136VRbnLkatUFNmKqPb3S3WZKrEoXUgkUrYN7SPeY55nB4/zURogmd7n71k18RrQtNDQiRuLoZ0TJAhJCLcV4qwFGh5AsylghyMtwn38Z7dULISRs5C1A8RnwgHBqFbOvcQDB4Bd7+o1qz8FBgLRCCwsUAEByv14KgSZphrviCqVjr7W5M8gYicSSWFEegD10DfIbCUi3adoxaScZhzjdCG/RvCofzHpNL/6HavB2pqagiFxHXl9/vZvHkzSqWSZ5999lXJ0+joKGvXrmX+/Pncc889rwt5ghkCNYMZvK1wePQwObocToyf4KbZN2HWmDkzcQar2spQYIhgIkiRsYgiUxFLWiJsKNxAIp3gGyu+QfNUM1qllvqsekLJECXGEmqzarmi7Aq+uuyrNE42UmurxaA04Iq5UMvUNE81k0qlKDIUMSdrDt3ebu6YfwfxTByVTIVEKiHPkEeft4+x0BhIYCo8RbG+GE/cw0R4gl0Du+hwddDn66Pf30+/rx+rxkoqk2L/0H6OjB7hxtk3sr5oPVPRKfYN7cMdcfOVI18hGA/SOt3KqoJV/Gjdj0iTRiqRUmou5UuLv8TlpZczEhihwdFAhaWCu1vv5o75d5Ahgz/qp8xcxg2zb2Bj0UYG/YP0efvo8fawsmAlB4cPAiCVSKm2VgNQa6tlKjKFVqGl1FxKJBFBo9RgUpp4T8172Fi4kVUFq9DJdXzv5PdoaAmTjsUu5SXxz6FnHzz7SRGn0vo4TLZBzTVCMK7PgaYHoXOnsA/QZcHQMZCpRdXFMUtUilQGESaciIJv+OXoFQlceBFkMiEIV+lFVav/qJisS0Zg5CSYCmDFJ0Ubz1ELBQtE67DjLURED/23CC/u3Cl+n30F7PsWRNxi7X37IJOEdAbC0yIIOWeeOIf/hlhq1pOrUvC35hslQJ5KwVKz/nXft8vlYv369TzwwAM0NzfT39/PY489xg9+8AOuuuoqAoEAmzdvJhQKcffdd+P3+xkfH2d8fJxUKgWIytPatWspLCzkhz/8IVNTUxe3ea2YaeHNYAZvIyRSCQ6MHMCqsvLblt8SiAaIpWJo5BqiySgmtYl+bz+yaAyjNovJpJt52fPQyrWEk2HsOjsGhYHmyWZGgiPU2etYkruEZDrJPa33cHX51XhjXkKpEDKJjCvLrmRX/y6GQkM41A6Ojx0HYHn+ctqm2hgLj2FQGIgkIyilSrRK0e7K0+XhDDpJkMCqtLKueB3Lc5dj09ro9/WjlqnZUroFxctmqtFklOd6n6PSUknHdAdnJ8/yuUWf4/etv+cj9R/h3OQ5GscbWZCzgF80/YJvLv8mT3Q9wZXlV/LiwIs4g05WFaziye4nme+Yz4r8FfS4e9Cr9FxbdS17B/cyzzGP1ulWluYu5c93i9+3/J7rqq6jx9vD8rzlZBIJ/Lt3Y9ouAoQfv/A4BqWBbk83cqmcJ7ufJJlOUmmuRK1Q85+r/hOdQndJroV/GqONokJUuEgIxqu3wEvfAmupIE+1V0MyAZ4ekXsXcQtNz6ztwq5AbRL+TlEfdO0WcS4ymRCTl62FM38AR43Ighs+Lf7u6QOksPKTopIzS5xXVn5KfO/eLYKILxXi4Zdz+HL+8vu5B8DVIwhRYExonFqegNCUIHtdLwrd1rl7YdXnIRGGqAc2fO0NW+YbfQ/98xQe8Aox+Z9J1Rs1hReLxfjGN77B7t276e3tJZFIUFhYyPXXX8+Xv/xlTp48ybp16171uf39/ZSUlHDvvffy/ve//1W3ea30Z6YCNYMZvI2gkClIpVME4gHSmTQJEmgUGkxqE7Nts5ltm80Ns29gtXwW8lCECnMFJpWJTo8wm+uY7iCWihFNRam2VJNKpTg0fIj72+/HqrLyQMcD6JV6zo6fpd/bz66BXbS52uh19+LQOaix1rAoZxEqqQq9Us+SnCVIJBKqzFVIpBLcETeJTAKNXMP6ovXIkXNVxVU4tA4ashv4U+efqDRXkkgnLpIngD2De2ibbiMQD5Cty0aj0NA83cx0aJodfTtoc7Xhjrjp8fRQn1VPIpVgMjxJti4bh9bBbXW34Y/5MSqN3FZ3G4tyFqGUK2lwNBBJRkiTxqqxMss2C6VciVImvt4/5/3Y1DaW5y0H4IHuRzBt3044ESaUCLGqYBXHnMdQypUcHDlIjbWGWeZZRJNRPje96N+DPAWnhEj8+C8EKUinRCVo6IQI+416hY+T1i6m4dZ/VVSf5lwrnML9TqGV8o/B+T9B/yFhmJlJg6sfXH2w91sweEw4lg8chfHzgpQYsoUtQnYNXPULIbT+M3kCYWXwz8I/JjRcrwWJiPieiglt0/ApYeGw99tCi7XkNlGdc/XAge+J86G3i7bn0Blouh8Kl8Pxn8Kxu0Sszb8xttvN/H5OCTkqxSsez1Up3jDyBKBSqfje975HY2MjXq+XUChEZ2cn3/72t9FoNKxdu5ZMJvOqXyUvZ06+733v+5vbvFbMVKBmMIO3GSLJCE2TTWjkGk6NnWIkMMKLgy+ywL6Abm832dpsAokAEiQM+gcpNZVSaa7EG/PiDDqRSWXUOeqwKCwkSVJlqaLf148r4sIVdWFWm+nz9rEweyGnxk4xN2sugUSAraVb6fZ0c3DkINnabJbkLuGBjgcwK830e/pZX7Ke1ulWxkPjSKQSHGoHBrWBZDqJWiL0Tma1meuqrsOkMqGWq9nRt4NV+auYDE/SMt2CSWXi/OR59Er9RRdzqVSKVWXl1PgpcnW5TIQnKDAUMM8xj9JJUFRVcmzsOIdGDlFpqWR1wWpydKKi0O5qRylVMuAfIF+fT5Gx6G+Snm8c/Qbby7ezKGcRewb3kKPNYTIyiRQpne5ORgIjfKj+Q3zghQ+glCn5yfqfMMs668186/81JOOw+6sisNfTDws+AI+9F5Z+DJr/JCwIvEMgk4s2XSwssudUBlj+CZjuEl5Nqz8NrU+I/LrTfxAVq5GzL0et6IUXFBmIeMCYIyJeFn1A6IMSEVHBMRe99uMZPC5iXGQKCLlELEzx8v/9ee5+MOaL7L3O5+HqXwqjzpEzsPhD8NgHxDTh7O1C3+UdhKwqcXwRr2hrWkrE9OHqzwhx/PmHoGwd1L3ztR/X38GbdQ+9FE7kb2XMGGnOYAZvM2jkGirMFRhVRv7Y/kfOT53HpDRxcvwkEomEVCpFta0apUyJP+4nnU4zEZ5AIVUQS8XI0+Qx6B1EapKyJn8Nj/U8RqGhkHpHPQalgVA8hCQj4eTYSbaXbueFgRfI1eXy+5bfs75oPaOBUQZ8Awz4B9DL9XiiHjKSDNORaaYj06TTaXRyHXWOOk44T6CWq1GqlUyGJ6m11/JIxyMY1UaKDEVcVnoZz/Y8y5LcJXiiHtpd7Tg0DraVbWMkMMKOvh3YNXa6Pd0ikqY0B4VUwaB/kKHAEIuiuSwpK6R5spnNJZuRSWTc334/n1v0OQBqbDUAVFgqBHmU/O0IoYU5C5kKT3Fy7CST4Uk2Fm3EF/PhiXnYNbCLFfkreLH/RZbnLkcmkdE61frWJlDJOLQ/BZosYRsQmhITdk/eJqpHu78C+YtBroZ3/BYevhGqt4tWXMUm4W90YSds+y/R5urcIQhI127RxnP3CruBwoVw5Gci1iURgfwFcNNjQgMFYlotZ87rQ55A+EP9GVqrIDuZjMjfa7hRPD56FmRKkdGXiou/jzUJu4GsashfKIKOYwGRq/fHq0W/qvlPgATc3cL5/IXPQdU20JpFpS4ZE8QxnQCpQpzHon+AvP2bQCaRsMJiuNTLeMtgpoU3gxm8DWHX2gnGgwz5hqgyV1GiL0GGjFprLSsLV9Lt6abf189VZVexpnANEomEbk83No2NAd8A0WSUDncHD3Y9iAQJB0cOMuwbxq6189LgS7S520Sla7qJPF0eZyfPEogHeKH/BZbnLceithBOhElmkijkCsot5WQyGYoNxeQb8tkyZGaWdRb5xnwqzBX4436uq7qOUCyETCpjY/FG5FI5T/c8TbW1GolEwsKchSzMXshVFVdxwX2BX577JXaNnXgqzi2zb+HG2TdydcXV5OhyKDOWMd8xnw2r38vj3Y/jjrlZlLMIu9ZOkaGIdCbNoZFDrzhnefo81PK/HfJ6efnlbCrexOKcxdw0+yYkEgm9vl7MKjMGhYGp8BQHhw7ijXsZDY2iVWjf6Lf5X0frk4I8ZdfDhR0iry3qhf6DIqYlg9A0BZ2w8tPCLLP+naKqs/6rULZGkBFjLsiVolJTf4MQVnfuEMTp8E/h0ZsFIcmZA+99RjiGv/dpUcGK+l9ezKs0QZoeFt/9TlHd+UcwcFQYWIbd4veWx4XZp7UUjv1cELR0+i8CcFc/tD0jrAd6DwnR+qIPCO+pyXZBFrOqxIRh2VpQmYVGy1wo7BrOPQhIhEB+4Lh4Xu07oOoyQSwtJVC+EcwF//LbNIO3NmYI1Axm8DaFP+7n6oqrmWObQ5w4K/JX0OXpYt/QPjYUbWAqMsWxsWP0+nrRK/WUmEqwa+zU2mtRyVWYVCZUUhWjoVHUUjU7BnbQON5Ila2KLFUW6UwahURBTVYNdzTcwVR4CqPSyEhwBKVEiU1jI5gIMhGcwKK00OvrZTg4TCQVYajazIHhA/R4ergwfQGzykypqRSLxsL87PkUGgrJkEEhVWBRW3ik4xF6vb38vOnnPNb9GI93Pc5nFn3m4nH+ruV3lJnKeLTrUVYXruZds99FLBUjk8lwWellLM1bSiqdwhP1EIiL9mW9vf6fPqcKmeKiXxTAguwFWNQW8o35FOgL8MV93Dr3Vn6/9fdsK9v2er2Vrz9sFaDUkz51Dxn3KOTPF/EsI414DzYJt+/ABOTUCR3Pzi9A4VKhi8qtE186h/jqeQm698De7+KdLoEr7xLeUWONEI/BmXsEGQtNw5zrxf41ZpC/HMuRM/ev1/fnSlE69UrzyVQSzv4Rmh+Dg/8lqmZn7hHEKOAEz6AgNhGPaDsWLobul4Sz+WQbHPx/onJUuBhICRG7xigm52IBGGsVdgn1N8LwcRETU3MVmEtg4zeEj5OnF2qvFRU1tRG6XxRVtYhHTBIGxwRpNObAnHe8Ue/gDN4CmNFAzWAGb1Mk00kyZOjz9vG5A59jW9k2hgJDDPuHiSQjGJVGhgJD2DV2rBorVZYqWqdbeVfVu0AKD3c+zHR4GovagklpYiw0xg/X/pAnu5/k1NgpAvEAUqmUd1S8A1fExXN9z7G9bDvRZJSXBl9CJ9ehV+iptFbSNNmETqHDprbROt1KMBnEphZmmhKJhM0lm+l0dZKty2ZV/ipqsmoY9A/ijropMhTxSOcjF8OLI8kIgUSA6yuvJ5VJUWWtwhfzEU/FOeY8hlQi5YryKwjEA+wZ3MM7Kt9Bn7cPV9SFXWOnxFTyhp3zVDqFTPq324CXHE0Pi6m2fd8FjYno8Z1I9RaUuXbhmj3WIiwGsueI71mVsOA9Ympu5BTYZwnSIpXD3OuE8eWFF2Heu0UenrsfokER7qs2gT5LOIzrbEKQPnoWSlf97fVlMuLr+M9EJl7NVaLFNnJGkJn6G+DIXaKi5RkUwcPjrSLA2PxycPFoI8hU0H9YVMpy5oo1qk3C8bxsNQQnRHXINyRalMd/+fI03WPiGKcuCEuGkdMwdBy2/zec+KXQV4XcsPLj4J+Aoz8WLdAF74HJC8K24KqfCXL4JmqDZu6hlwYzGqgZzOBtij+7bFdbq/nJup/wXO9znBo/hVVlJVuXTbe7G6VUycqCldjUNnYN7iKWiuFNeDk6epQaWw0xc4xjo8dIpBLcueJOnu55GrvGjlQq5fOLPs++4X2EU2FOjp/kltm3IJfJmQ5Ps7pgNe6om9HgKOFEmLWFa6lz1HHn0TspNhSzqWgTD3Q+wFhojBpbDRPBCXwxH5WWSpKZJAC7B3ajkWnocnehU+h4pPMRbq+/HRs2CgwF6JX6iy23WCqGQ+vgqoqrLh5/p7uTIf8Qk+FJur3dbCnZ8oaf87c0eYp4QSKFB64Tmp1kDuocE8QDMNglpuIK5otKStkqIYbuPyiqKD17QJ8nqlL584Up5kvfEq+57KOC4KSTMNUJvnHRtjJmi8w6rVWM/ys0gvj8T1x4UeTdzb1eeEal4zDVA8oxQWZGTkH1NuFR9dSHQWkQwvXuXUJztPk/hU6p/4CYAlz0AfG6RUvEhGHTQ8JXKjQppv5y6wX5+rOZ4vmHhTg+fz707BUtycl2mGgDxxxBFM89CBWbhVlmXh3s/KJoZxryxGsGJ4T303W/e3Peyxm8JTBTgZrBDN7G6PX2Ek1FUcvU/Pb8bzGqjDxx4QmUMiUaueYi4bm++nrcMTdtU21sKdnCRHiC8fA4DfYGHFoHo4FRIqkI5aZy1hWt44W+F0iRYv/wfpbkLMEZdOKKuPjhuh/yH/v+A6VUeTH2pd5ez0tDLyHNSLGqrcikMqaj08gkMgxKA2nSFOuLsevs3Dr3VqYjourliXoIJ8K0u9rp8/VxeenlRFIRqq3VxFNx5FI5zpCT1QWrOe48znRkmivKr6DD1UGnp5Mry67kvvb72FC0gWxt9t/VN/2fwflHRUivTA3tzwiNUTIKpnyRaTfRQiocRzbnZe+lBe+FF78sttFYBWEYPS08jaa7YbxFeDs13ieIjqNGVIyifrj6FzB4VPhADRyB1Z+DPV+HbT8UE31aqyBFqZiwOHDUiCnAZFwQJ++gIDLGfNHGc56FhbeCf1RUuqwVomWm0AmbhaJl4O4RU2++kb+0GaUyQfDcvcLlXKUHnxPK10M8KKboUinhfG7IheZHIHeeEL+bi6H/iHgsb57weAp7xFplShg6Itqd23/0F0J2CTBzD700mKlAzWAGb2OUm8sv/rwgZwEHhg6gkClQyBTIpDKW5C4hloxxcvwkpcZSSo2leGIebGqb8HuaOEskGWFp3lJcQRdT4SmcISd19jqG/EN8cv4n+daxb3FN5TXMc8zjd82/wx/3o5FreG/texnwDJCSpFhXsI5OTyeemIdILEKBvoB+Xz86hY5lucu4vvp6zk2dw6A0MOAfYDQwSjAexKgyMh2dZmnuUvYM7WFlwUrGQmOsyF8BiOk5gGV5f5m8Gg2OckXZFThDTuY55lFsLH5zT/pbGVlVonIiUwqncUuJqEr5RkWlZu2XCJ/rxhByiSoPCAKjMkIiBCqtMM1MJYVmyucUgvSaq4Rh5E1/gpe+CSWrRatPIoNZ24R55sH/B6Vr4O6NUL5BWAOc/r1oj7U8DvpcsNfAkR8JMtR3UBCxWEDs3zMCxStFGDFpQZzMRcKDqfMFEWicXSdIXeES8fzZV4pqWNVmQcw6nocz9wrN0vQFIQaXSMTau/eIKJne/WCrggM/EDl2xSsFcay5UojID/0EuneK7D+FHlZ95pKSpxlcOsxUoGYwg/9DaJpswhlw8sf2PzIZnqTMVIY/5sehd5CrzaV5upmtJVuJpCLEU3EK9AWkSTPoH8SoNGJVW5kITxCMB0ln0mwq3sR/n/lvdEodebo8Bv2DyGVyluYs5dT4KVRSFaWmUursdQz6Btk5sJORwAgLHQtpyG5gZf5Kft38a5bnLafYVEwwHsQT87CtZBtHnUfZXLKZWCpG63QrR0aOsK5oHal0iiJjEXatnae6nmJN0RqsauvFYxzyD1FkfJ1G4t9u6N0PTY/AeLMQdVdvgYhftKDMhaItVroKlEbRwlLqhb4ne46Ybjt6l6hGyRRCH2QuFhqi7NmiTZeMiUrN3GthskNM58lVwql77vVw9h6QKkXVZvCI0FKZSqFkOZjzhTbLUAA6syA5U90w+3IoXwuPvhc2fUsI2SUSqL1GkECFTlS4pApB1sIusJQK24GipTDVJapiA0eE/ULfQWh7SrTtguPCPVyqFBUvv/NlG4P58Px/CNF429PiGHLnieDg5oeF7cOyj4g1aK1//5y/CZi5h14azNDmGczg/xBcERf9/n56fb00OBpoc7UxGZ6k2FjMvuF9JFIJ7mu7j5POk6zMX4lD56DKXMV1VddhUBpoc7URToTRKXUsz1vOc73P8emFn2Zd4Trq7fUYVUbeWflO9g3v4z8W/Af9/n7CiTBP9T7FQGCAK8qvIF+XT6+v96JX09K8peTqcik3lRNNRgnEAwwGBmlwNCCVSNHINSikCuLpOM6gk2QmyYv9L5JIJ9g7tBeFRPgJ/Tm4d4Y8/R0YcgU5kMkFCQlOvjwRpxSVnMotMN0rHLblGuEKfuZeoT164jawV4oW4MhpsX0y/rKdQT7UXCGm0vxjQht1+m5BkLp2Q169sESwlAvLhOrL4KYnxPNVWqFfKlwiKk1Vm0V48Om7QaUT5pydO4UY3JAjsueCk4K4LbwVqrcKopQ/H0pXiwnDqQ5ha9D8mPi9+yVRdZvuEseaVSbMNrOqRKXs7L1C/6QxC0dx35AIN85fKDL9Il7Y/23hgVW0DJZ+mP+vvfuOj6s6E///mT6a0WhGvUtWtSzLsiX3hjGm2IDBQOglxAllCctmw0KyIWwgEJLs5rcLuxACiY2BhKWZGAwGG4wLxr3LsopVra4ZjaTR9Pr744ISrwnB+UJk4+f9evkF3Hvnzr3HvHQenfOc5zD926dF8CTGjoxACXGWicai3PrurczMmEmbqw1X0IXD5+DSwksB2NixETVqQtEQC3IW4Aq6uLTwUjwhD1s7t1KRUkGPp4d2VzsGjYHFBYvp8/Rx0H6QIf8QKpWKjpEOkuOSyTJlsd++nycWPsFN79yETqPDG/QyHBxmSeESZmfNZmnRUgC2dW3DHXQzIXkCFr2F9a3rSY5L5sJxFzIcGGbz8c1s7NjIHZV3MCF5Am+3vE1aXBplSWXYjLYxbNEzjGcAtvwKWj6A4kXQvltJ3B46DsZEmHi5UlQyc4qysiwWBM+gMmplSVcSyROylOreQbcSmAy2KVOBmZVgtCk1pZo+AOMnCeSz7lAqkQdcnySpL1Tym/JmK4FMz2ElaIqElBGm2tXKdNqSX0H/EWW6LOCC3qNgjIfG95Xv0puUIKhzrzI6NO2byuiQ0aqsOGzZBElFyohZJPRJtfN8JQ/K1a2cn/Zt2PkbpabVQDMQVVb19RxSCmKGPhlxM9qgYplyv08T1U8T0oeODcmBEuIss6VjC+ePO59nDj1DZXIl9QP1TEmbwjHnMWxGG2aNmXuq72FV7SoyzZns7dtLu6udtS1ruWfKPTxz+BmuGX8NUaIEw0EsOgvPND1DSWIJ3rCXHHMOiyctZnfvbg71HcKkNfHUgadwBV0U24qZlTmLIf8QGpWGj7s+pjSxlPFJ45mXPQ+AluEW1jatJcGQwPjE8Xxnw3e4f+r9pJnSKLIW8dTBpyiwFpBkSCLTnMm61nWcm3suWfFZY9yyZ4g4GxTOg5Lz4e3vQ2AYojElGEosVAIblVrJKeo7quxlF3ArK/diUSVgypyilDYov1RJskYNc7+n7HHXslWZVotLgZypMNyh3HPCUsiqVhK9m7fAop9AcqHyTGqtsn+euw9yZoL2euVeje8p04oZk8GaCR/9pxJ8uXsg73bl2cfNVTY7fu9fle+uukHZSmb6cuX+u56Ba55XEs83PKS8Z98RZVVgXLLynYnjQG+G8FElIOs5pAR6mZOV/KaptyojU6WLx+bvTJyWJIAS4iwzN3su3pCXXV27CEVDeENessxZ6LQ6YrEYtjgbv6v5HQ6/gyhRMs2ZpJhSmJo2lRW1K7inWgmiFucv5rVjr9E01MT9M+5nXcs6lhUv4/kjz+MJe9CpdUxMnYg/7Kc0qZSPuz/G7rNTqalkWfEytvdsR6/Rj26f8m7ruywet5gNrRvo9fRyY/mNyiiTMY2Hdz5MoiERnVqHRW/BrDXzYt2LTOyfyMSUiaysWckN5TdQaC0c49Y9A6g1Sm5RJKgkWR94XgmYjDYY6QFXhzIStfM3xLRGXPVBrN/6V0gap2yq2/CeknReegF0HYTEPLAVKCUM5t+rBEO2PCWZO6lQKYGgQsmP+uAnSlXvvlrY/QwULISyxcp0WcEC5ZxaoxTQDHmVJPLsamXFn6NemVK76DFo2QzpE5W6SxsehKpblNGogWNKgc20cnj2fGW0SmeC1bcpzzTSpUzzzfu+koxuyYQDL8KIHYjC9NuUaUSjFUougOobx+7vSZz2ZApPiLPU9q7thKIhntj/BA6fgx/O+CEralZwd9XdqFVqXjz6Ilq09Hp7uXfGvUxMmshD2x9iceFi9vbsxRPyUJ5UziHHISalTmJLxxampk8dLdLZMtRCrjWXJH0SB/oOsKlrE1cUX0Gds47K1EouzL+Q4sRiNrZvZEnBEt5sfpNILEKcJg5X0EW/t58rSq6gZaiFIf8QWzq2YNabcfqchGNhVDEVWo0WT9hDbnwuM7NmolapqU6vJtOcOVoHS3yGQy8rSd11b8PGR5RRmOAnW6vMvEtJAHc2wfTbofg8pUjm9Nvg/X8jRBq6vEIlCMqbA0YLHH1L2QLGlgdVNyr5VYde+aSO0x6Y+49KAnrQD8ULoXMfdO4EVHD9/ypbqgx3KEGULUep9bRnpbKFzIIfKHvO6a1KkczBVtAaCAX9qAODaObcDW3blTylGd9WVvxFw3Bsg3L/vPlKAnxgQNkIWa1WgjyjRQmW8ucoJQ1iMUgtVTZJ9g4oRUTPENKHjg35CSPEWcoZcNI21EaOOYefzv4pP/r4R1SmVPLbw78l2ZjMorxFbDy+kVnZs6h31hOLxriy9Eqy47M50HuARGMiarWaipQK3mt9T6nNhJYUYwq7+3ZTkliibBCcPJH5efOJqWNo1VrunnI3bza9SUliCZs6NpFoTESr1jIUGGJu1lw+7v6YUlspL9W9RK4lF3/Iz/r29ahQsb17OzFipMalEoqFqE6vpt5ZT/twOzt6dpBmSuMPR//Ao/MfpTSxdKyb+PQ1+Trln6njYdI10LxBySMqXAQH/wB374aVS5QcIaNVmd6KTyOmMxHqGUaX5SeUeSGxpt3oL7hdqbtkzYUDLyi5Rb2HoPI6peCmzwmbHlOCmtRyJcDRaCEUUAKt178Dy34Nm34GG38KJYugq0bZo6/sYnjzu8r+dQnZSiVzowXSJhLrOaxsTrz5l4AKEvPh7X9R6jkdfRNQKxXJ7Z9sVlyyUMnVMlqVabp598D2/4E5/6g8U870PyWFS3K4+AJkBEqIs1ibq41HdjyCWWtmavpUDvUfYm7OXLZ2bqUypRKnz0lFWgUH+w+iVWnZ3LmZi/Iuosfbw8zMmWhUGl6ufxlXyMXtk27n3dZ30Wv0nJNzDs8cfoYpKVNIM6fRMNjAvOx5uIIudnbvZG7WXPp9/Tw4+0HUKjXRWJQ737+T/1jwH2zt3EqaKQ1XwEUsFuOQ/RBd7i7Szek4vA4+7vwYs96MK+hiTvYcvGEv9QP1xGniCEQDmLVmqjKqqEypZGvnVn4x/xf4wj60Gu0J5Q7EnznyR9j8Cyi/Arx2JZhwNisJ46mlSkJ37ixlBKj+Xah/m6jaTGyoC035IqXKd95sJfdp97PKSJMtS0ncDvpg4lIlAbz3CJSeD/5hUGmVaT5bjpKXlDtLGdXKmaHsQ+d3KVN7XfuU8+ZkGOoCa86fVg7OuF3ZYsVtV0aRfE6lcvjGn8LkG4j5BvH3HCGuaB7M+2foq1NKLnzNSB86NiSAEkLwQdsHPLH/CW6ecDOrm1aTZ8mjbqCOWyfeijPopHekl4z4DP63/n9JNaWyOH8xCYYEJqZMpNHZyMysmTy681HmZs3lw+Mf4g17GfAN8I/V/8iH7R/S7+knz5pHKBqiKrWKVlcrapWaednzaHW1sqx4GWuOrSESi3Bs8BiFtkL29e2j2FbM9q7tTEiegEFjYG/fXqpSq9jYvpEoUTLMGfR4erDqrUpSeyRIgbUAm8FG3WAdxGBcwjiMWiNLC5eyIG8BapVUbzlBLAaHX1WmvCyZSm2k/E/2q/MPQyxKRG2B+nVoKpcoyeOOY5BczPC769Dl6TFVXQUpBcqoUvNGJQDzOpXcqqQCJVepc48STOXNgJQyoh/9CnXpYmW/Olu+UlSzdasSGE1drqz6SylRzicWKiUNhjph7+8AlTIFmV0FvmFo26ps99Kxi7eGxnHZZGVBgd/no76pkSmaNqXY59eU9KFjQwIoIQROv5PukW7+c/9/UmgtZHH+YqZlTuP29beTFpfGrKxZvNXyFufknINGpWFD+wZun3Q7z9Y8S+dIJ98o/Qa3V97OL/f8kuPDx1lesZzVDauZkzuHo46jfNT1Ed+p/A4v1r5Iuimd6oxqVDEVl5dczqH+QxTaCukY6eCcnHP4xa5f0OBsULZo6dnBvdPu5f4t95NlzqJpuAk1akqsJcQb4ylLKqPGXkOcLo6POz4mSpTbKm9jd+9uMuIzqHPUEYwEuX7C9WjVWianTSbXkjvWzX16ioQ/yV16SUkS79wHxCCtnNCQj1juPJp76phw5Q/hrX9SpuQyJyvTe36Xsqfe+EuUrVY0WqWY5QcPKaUBihYqCeZ7nwNzKiMDXdQWfptZRSl/+n7foFL5+1PRqDLyZExQajqNm/uFXiMUiaLTfIEgOehV6l1lVp5SM52OpA8dGxJACSFGPbH/CRqcDahQUWQt4qOuj7gw70ICsQCuoIuq1Cp29e7i4oKLeb3xdb5X/T26Pd3UDtRyefHlDPuHOeo8isPn4KPOj4jXxzMxeSJHHEfQqrVo0dLp6aQ6rZrFBYvZ2b2TGVkzqEypRPXJ7vW/2P0LUuNSidPEsfLISjJMGfgjfqalT+Ow4zB97j6iRClKLOLY4DGSDElMy5jG/v795MTncH7++XhCHjLiM/jPvf+JUW1kJDTC1IypPDrv0TFu4dOcqxtGesGaS8TvIuZsQdv4HlTdDOYkRjQ2LJb/8zPacezkhOuAW6m15Bn4JJkbpeBmwM2mVi9TxyWSYNR98ecaOq4kqAO13cNo1CrKMpTn2NfuZGr+3zA1GwkpyfPWnFP/7GlG+tCxIWPZQohR/1T9T9w77V4W5C4gQoQL8i8gMyGTYlsxOrWOSamTGPANkGxM5qKCizg8cBi+I2pKAAAoB0lEQVSHz0HbcBtvHXuLbd3bqE6vpsnZxGBgEK1Ky9rmtXx70reJ08Zxfv75PDb/MWZmzaQsuYzshGxqHbWoVCpeb3idw/bD5Fvy6fP0sb9/P1aDlR5PD4vyFqHX6pmaPpUIEaWWVGCIiqQKsi3Z3D/zfpYVL+M7k77DiiMr2G/fT/1APf6QUkLhvLzzyDJnsfrY6rFu4tNbQpZSNiA+lcDrdzDQuBMyK/G37wRbHhZLAk2trXT0O0c/sslhPfEeXfuU4AmUvKUp1yt/AAzxzC9JOTl4alzP6n2df/m5bH+qLj8xyzoaPAGkxBs+95V2tQzQOeg9+YRG97UInsTYkVV4QogTFNmKSDImcaD/AC/Xv0xRYhF7e/dyc/nN1DnrSDYmc++We7lm/DVsaNtARUoFsViMjPgMqtOraR5qxhv2EovE0Kv1LMhZwKG+Q0zPmM7snNk8ffBpKlMr0al1XFxwMS1DLURjUaxGKxuPb+TmCTdz0H6Qo46jXJh/IbkJufyx6Y/o1Xo+PP4hS4uWsqVzC70jvQTiA1SkVHDcdZxNxzexv38/eo2ew/2HcXqcpJvTaRpqos/bR6Y5E5vBhifg4crSK4nXx491U5/WTNf8FtN7PyKcP5H+7a8y1NaFKn8mpYYhSDqfQx1DTM61MSXXduIH9ZbPva/2s6bXcqZz1V9Z+RaNxojEYidMz0WiMfKTzaze18lVUz87GJpZmPy59xXibyUjUEKIk/R4eohEI/xkzk+oTKlEq9ayp3cPNfYaBgOD6DV6Li64mKcveJp7p93L9ROup3momTRTGn3ePgZ8A0RiEXb37qbX00ufv49AOECfp49rx1+L06eMYNQ6ahkJjeANeUk2JmPSmFjTtIaZmTOpH6znF7t/wVP7n0Kn1vFey3tkxmfS5+0jy5zFlIwp5CbkYjPY2Nm9k0xzJnt692DUGHH6nDQNNzE7ezYPzHqAuybfRXV6NSa9iQvHXcjKIytH984Tf4G7Hxb/HK05mdilj2OLOqk7coCmzEt5szGE2aClrsdFz7AffyhCNBrj/aOfrNr7M0e7XTg9gc//rj8Lnt7Y/9kjUW8d6uajY3bcgTAAvmCED+v7Af5i8ATgDYa/yNsKccokgBJCnKQ8uZxzc89lfet6ah217OrZhU6tY3fvbhblLSJeG8/alrX8x57/QIWKLncX46zjaB5qZm/vXs4fdz5hwpj0JsKxMGWJZRxxHuGtprd4r/U9hgJDPLT9IZ6vfZ6ihCJahls47DiMUWscLdiZYkxRVt/pDNQN1JFkSiIYDvIv0/6FBEMCC3IWMCtzFjt7dvJKwyuoVWqqUquIRqMU2YqIU8fR7+mnfaSdq8uupiKlgoU5C8mIz+CuKXdxWdFlY93Mp7esKmX/usIF5BeUkHz1EzhKrqWjs4s5xcm4A2Eae12UZyXw4JojvHWom1mFSaze18GILwjOFgBG/CE2N9hPuPWmhn6a+t202N0A7GwZYG+rk8a+Ea6sPjkY+s3mJvKSTZxXlk68QUskGsMXipBpNfLX0ni3Nv7puzucXna3Oj/naiG+OJnCE0J8Jp1Gx/JJy9l0fBO/XvRrUkwpaDVanqt5jiRDEslxySzMXchgYJBOdyfLK5YTiUZYPG4x4WiYOG0ceo2eWRmz6HB3sHzicpx+J1nmLNa3rec7k76D3WvnpfqXKLAVcOvEW9l6fCsv1L1AojGRGnsNRq2Ru6vv5plDz3BVyVVs697Gi7UvEo1G6fZ0c7j/MFa9lbyEPAqsBVgNVix6C3XOOopsRbxa/yomnYmX6l4i35LP0YGjeENeZmbNJC8h7683wtlMq1dqKn1Cr1WzJMfPqxt30hs2kxCnYWujgzi9lvklKdjdATyBMCP+MBaDhve31eNNMZCWYMAWp+PHa2q4eVY+O5oHWDo5i6e3NFOQbObA8SHOm5DKD16v4f7F49ne7GBSthXLJ3lS4QMvkZV4LpOy/5RrZR/x8/z2NsLRGPYRP7lJJorTPnvqcHFFJuFIFI1aRW6SidwkE+tre7loYsZX2nzi609W4Qkh/qpdPbuYmTmTd1vfJRAOsK51HYnGRELhEKnmVC7MuxBP2IM7pIwoHOw/iDvk5sqiK3m65mlKbCWkmdNYXrEch8+BXqMnQZ/A74/+nqbBJi4suBAAi87Cozse5YrSK3jqwFNkxGWg1+m5qvQqNnds5qriqxgJjbCrZxe+kI+hwBDzc+Zzfdn13PH+HQQiAeZkzeGjzo9ArdxvJDCCP+JnWdEysi3ZDAWHKE4spjqtegxb9MzjCYQ5cnA3Dmy8fMTFDTPy6BnyM60gicocGy12N2/s7yROryEYijDgCXFOaSpbGu1cPCkTTyBMWoKRIW+Q7c0OKjKtTMq14vKFmZxrwx+K0Ofy896RXtITDEzMsvKbLU0cH/Dx229OY0/bIBeUp/PO4W5Meg31vSPcMnscOo0KvVbZT3F3q5MJmRYsRh32kQDbmx1cNjmLmq5hrHE60hOMqFQQDEdHA7SvA+lDx4aMQAkh/qqZmTPpcfdQmVpJg7OBmZkzqbHXMDF5IovyF/HjbT/mtsrbSDQk0uHuoNvTjcPr4MlDT7K4YDFlSWVMSpkEwPbu7WSaM7F77YxPHI8n5OGI/QiF1kLah9spSSwhFAkxJ2sOs7NmsyhvEe0j7dg9dvKseWTHZ+ML+yhJLOHBbQ8Sp4ljyeolxOvjmZc9j1pHLVaDlZ/N/xmrG1ezrmUdI8ERfn3418zMUPbLM2qMDPoGmZczD4Pm81dxCYXZoGXK1Jm8c7iHB5bk4A9HCUejvH24G28gzM6WAVrtHiZmJ9A15CccjTI518aq7W3MLkxmV6uTFrub8yek88b+Lr57bhqbGvoY8oaYnGujc9DL/7ehkZ9fOQmHO8imhj4m59gwajX8+3v15CWZGPEHGfKGmF+SilqlIhyN4Q1GaOh1Yo3Tk2jS8VGjnWgM+l1+IMbB40MEI1Eqc2wc6xvBoNWQl2wa6+YUXwOSAyWE+EIsegsJ+gQqUyoZ8A1wXdl1XFt2LfG6eFYtXsVHXR/hi/jIMmdx0biLmJM9hwJrAXqNno6RDh7Z+QhP7X+KBTkL6Pf2k2hIJF4Xz6zMWSwuWIwr6KJjpINF+YuoG6ijaaiJ3d27uefDe1jTuIZUUyqvNbzGL3f/ksuKL6PH3UOqKZWZ2TMpTSolOz6bC8ZdgCfsweF3sK93H2ub1xKMBim0FmLVWvm462N2dO/gpbqX0Kv1pxw81Tpq6XZ3f0UtfPozaDWUZSQQU8H4DAuHOl38aJoag07D7QuKmB7eQ44xSCwG3UN+/ri/k2VTsvnhG4fZf3yQK6tzSIjTcV5ZCr/aUM+yqhxunVsAQKY1jnsWFfPjNUfoHvJx86xxODxBmu0eBtxBtGo1f9zfRdeQjx+vOcLm+j5e+LiV3a0DBMNR4vQa7CMBzpuQzqWTs9jRMoDZqGVKnjI69syWZgpSzOQlm2h1eAiEI2PcmuJMJwGUEOILidfH4wv76HB3MOgfZHv3dhIMCQwGBtnTt4diWzEWvQWdRkeaKY0McwZZ8Vls69pGviWfnPgcpmdOxxP08HHXx9QM1LDfvp92VzsGjYGLxl2EVW+lwdlANBZFhYq9/XtxB920jbShVWsJRoM8OPtBahw1qFVqPCEP2zq38cCsB7AarBzsO8i/TP8XzDozW7u2kmRIQhPTcMhxCNQQJkwgGuC46zgfHv+QH2794WgScrCzi/Dg4Oe2QUliCemm9L9Hc592tjc52FjXx+93thONxojTa7j33GKGuobZ0TxAvyvArbfcTl5ONg9dPpFX75zDsqoczo9r4MqJVlTAoY4hAIZ9YS6YeGI7/mpDAynxBh67chLnlKbicAcIR2KcU5rKlFwbRr2G5fMKmFmQTM+Ql3dqehj0Bsm0GglHY7xzuIvtTQM8vbmJF3e00+vyo1apcbgDrK/tJRCOEI7GWL2vk0g0xtgnr4gzneRACSG+sJ09O5Uilv6h0XpP83Pmc6D/AFVpVTy5/0mq0qpwBpxMSZuCVqUlHA3zw49+yDdKv0EsFqNtuI27q+9mRc0KbphwA66Ai6cOPgXA3t69jEsYR/1gPTPSZ6DVavnJ7J+woW0Ddq+d6vRqGgcbidPGYdVbyYjPoNvdjcPnoH24nez4bHq9vUxOmczDOx/m8sLLialiNDob0av17OjZgdVgJRxVAqkMUwZvXP4GOo2OUH8/6rg4NJbPr2N0torFYqPV4jfV97OwLI1oIMyb29sJmHRcOyOXHc0DjM+w8Og7R/mva6sAaDzeQ3FOBmq1iqZ+N8Vp8QTDUfTaE39/94ciGHUaguEoTk+Q325t4Y4FhVhNOjbU9lGemYDDHaAqL5HeYR/xRh3ra3vZdszOkkmZbDzay+VTclhzsIvG3hFev2sOapWK5v4RUMGwN8yc4pTRd4nFQK1W/X0b8SsifejYkBEoIcQXNitzFgA2o42pGVPp8/axsmYlXe4u9vftZ3zyeOJ0cSwtWsqB/gPs7dvL2y1vU5VWhUlnYnrmdLQaJfXSqDHy4LYHyU3IZVnxMiw6CyW2Enq8PZyTdQ6JxkSanE1s69pGMBJkwD9A01ATU1KnYNKZ+Lj7Y1LjUul192I1WEnQJ3DAfoAiWxFHnEfIjs/mgP0AQ4EhFuUtYjAwyCWFl5BmSkOj1oxuD/Nu67s4fA6iyda/Gjwd7D9Ih6vjK2/n05FKpWLYG2LAHcCk1/DAHw/zb+vqeGxbC70uHyqVinanh9f3dXBVtbLfYLPdzZqjw7y29zgv7z5OblIcwGjw9HGTY/T+Rp2SCB6MRBn0BnlwaTmD3hCBcJSlk7M40j1MdX4inYNeAuEom+r7uWZaLnOKUshIMPKzKyvJSYrj5tn5PHhpOSa9lkMdQ3z/1UMc6XTxyNtHeerDY9R2DdFsd3O4a4h97VLSQPztJIlcCPE3m501G4veQigSYlfPLgxaA5NSJ/FczXOY9WauGX/N6LU19hqSjcl4Q17ean6L1xpfIxwN8+yhZ3mv7T3STekU2YrIt+YzKXkS7a52jFojkWiEsuQypqVPY1XtKq4ru47ylHJ2du3kd4d/R7w+nvyEfN5oeoPfX/x79vTuwaAycH7++UQiEd4//j53Tr6TWmct0zOmk5uQS+twK06/kwgR7D47r9a/Sp+3j+r0aqrTq8mJzxkdbflzU9Km4Oh0w1n6S/6WRjv72h3saHaSmxjHRRUZNPS6yE6Mwx0IU55pZSQQpuqT6uRFqfFo1CpCkRjTChJ5fW8nN87KH71fcZpSDf5ot4txKSZMei3xBi0TMpUGHp+hBLSr93XSM+xDp1FTmKp8piRdOXdOaSq5SaZP7mc5YaRsZmEyj183hUAoyrvfO4ddLQ7ue+0QVXk2dFoNV1XlUNM5TGl6PIZPAjghviiZwhNCfOme3P8k09Kn4fA7KE8p59X6V8mMz8Sqt7K+dT25CbksLVrK72p+xwX5F2D32Vnftp6H5zxMjiWH/X37eaXuFYaDw0zPnM6U1CkkxyVz1HkUrVqL3WOnLKmMg/0HSTIm0ePpIcGQQCAcwKw14/A70Kq1dIx0MOAbYE72HIYDw8zMmEmYMGqVmi3Ht6BSqah31pMVn0WOJYeK5AreaX2Hxxc+ztrmtczImEFmfCYAa5rWcNG4i/D0hknJOTun+a54aht9wz68oSiVOVYCoShLp2QzPT+RdUd6qM5LZF1ND+eXpxOJxphVmMyQN0Rj3whVeTYOdgzj8oW4amoOHn8IuzvAuJR4eoZ9pMQbUKtU/GzdUe6/qGx0RMoXjNAz7CUl3oDTE2Jf+yAZViOzC5OJoex19+nU3OfZ1TpAq8PD/nYn0agKVDFGfGG8oQhlGRZc3hC3LSj8i/WkTmfSh44NCaCEEF+q5qFmwtEwFr2FBkcDXZ4u1rWu419n/CsVqRVs797Ont491DnreGTOI6xrXcctE29BrVLzu8O/YyQ4wm2Vt7GydiW+kI84XRzdw91oNVoy45WNjc06Mw2DDVwz/ho2Hd/EmqY1ZJgyGJ80nh3dO/j5/J/zz5v/mRJbCe6wG6PaSFVaFRvaNlCWXMbd1XfT4Gyg2FbMkweeJKaKsSB7AeXJ5axpWsPV468mEotw1HGU4cAw+dZ8jBojA/4BypPLicaiqFVnXwbExrpeXtzRTmOvi4pcG48unYQ/EiUnMY47XtxDYZqF2+YX8taBLuzuAMlmAzfOyuf5j1sxGbXMLU5m3eFecpLi8AbC1HS5+MVVlQA8u7WZOL2G2YXJo0HMsDfImgNdHOocpmvIy3ll6dyxoAj7SIBUyxdfQdk/4icajaFRq+hzBRjwBEk06RjxhzlwfJA3D3Zh0iv5V+/cc84ZlxslfejYOPt+AgghvlIF1gJKEktwB9180PEBQ8EhfjDjB7zc+DLHho7xZtOblCeXY9FZeKnuJfwRP7WOWjYd30RqXCqD/kFWH1vNuTnn4gq4yLfkMyd3DrdW3MpN5TfhDXtJNCYyEhzBF/bR7+1n0KesCixOLEan1vGH+j/wkzk/YTAwyGVFl1HrrKV+sJ5/nvbPFCcVs7ljM1q1lubhZialTuK7k79LVXoV/77n30nQJ3Dflvvoc/dRnlLOc0ee49Edj9I81Ex5cjmRaIT1bevHupnHxKIJGTyybBKDvjC3zStkQ30vy1ft4X82NrKnbRBbnJbmfjcv7Gwn2WzgoyYH//NhIwc6B1l7qIsfv3GESCyKxx9m2rgkHrpsIv/1fiMtDjc3z8pn7aFu6ntH+Pm6Opr73Tz6zlFS4/VcPyOPWYXJpCcYASUJ/NM97gLhCJHoZ48DDLgDHOkapqF3hFgMmvo9VGRbmVWYRGm6hbnFKdx9Xglv3j2PwhQzDneQDXV9PPFBI30u39+tXcWZSQIoIcSXSq1So1apKU0qxRf2EYwE6XR3kqBPoDSxlNsrb2dh7kKKbcXMyZnD1PSpxIjhDrmJqWIU2go5J+ccKlMr+dn8n3FZ0WWoULGuZR1Wg5UUUwpmrZmukS4i0QjHBo+xrHgZM7NmUuuo5cKCC0eDqgvyL2Dj8Y08tegppmVMI14fzznZ5+AKuiiyFdHgbCAlLgWdRqlK/aOZPyIUC/HzeT+nebiZFTUruKf6Hn4656c8vvdxLnr9Iob8Q+RYcnit4bUxbumxkW2L4+ppuaw93E2mNY6qXCsHOoY4pzQVq1FHfrKZH108gaM9w8woSOQbU3MoTU8g1WJAq1Gxs3mAnS0OXtvbwdZGO12DHh575yjranqZmpeITq3ixlm59I/4OHB8kH9bexSjTsO0vETUKhX3vXaQpzY3MeIPAbChtpedLY4TnrF9wMO+dicfHXNQkGJmblEKmbY4YsToGfZh0GroHfYz6Anyh53t6DRqHrmikg3fX0Cr3U1ZRgK3v7CP/97YOFp6QYj/S6bwhBBfGX/Yzwu1L+CP+BnwDvDwvIdHzw0HhrEarPxqz6+we+0syF3AkoIlSpFNYyKuoIv3Wt+jIqWCickT+WPTH7m86HJ+X/d7EgwJHLEfwR/xU+eo464pd1GVXkW6Wakt1DrcylHHUSwGC/Oz57PyyEq0ai1mnZlvlH5j9NkanA2kmdKw++yoUI1uDQPgDXl5u+VtLi28lOePPM/qptU4vA5sRhv/fd5/U2gtJF4f//dv1NPEy7uPU5hqxmbS0zvkZ0q+jUFPkJ4hH9MLkvmo0Y5Wq2L1vk7i9Vo2NfRz18JiDncOEY3CsupsilLMPL25iWa7hwsmZjCnKIXX9nZQlWfjue2tTMmxcnzAS0Kcnmum5bCpvh+NRs210/NQqeBwxzCpCXom5ySiUatoc3joHfYxqyiFUCRK+4CHtAQjsSh0DnmZmGUlEo0RicYY8gYxGbS0OTykJRhIsxgZcAd44oNGFldkEm/U8pvNzeQmmege8nH9jLwvlGs1FqQPHRsSQAkhvlK7e3bz+L7HMevM3DfjPkoTS084v6N7BxnmDIKRIFq1lkgsQr+3n2JbMVqVllA0xH/t+y/m58xHp9ahUWuYkjKFh3Y8xJUlV5JoTOSw/TCZ8ZloVBpCkRC1A7VUpVdRmljK7t7dlCeVU5xYTP1APXkJeRzsP8jc7LnYvfbRJPFPNQ81s6FxI1ekXEu3uZnNbz+NPzuJPf5G+r39hMIhIkRYlL+IGZkzRgOys83hziHuffUgV0/L5fZzikaPN/SOUJymrL6LRmOo1Sre2N9JVW4iBalmBtwBWh0epo1LGv1M95CPLJtS4mBjXR8dA17KMhPYcLSPd2u6+dbcAqYXJLHmQCcxVKRZDLx/tBeVSoXLF+KBS8opy7QQCEVp6hshHI0x6A1xrH+E5XML6XH52N3qZGJmAk9+2MQ/nFvIlmMOLAYdvlCYYDjKz66YxIf1/ahVKrYdc3DBxHR+/k4dt80fxwf1/RSmxHPnucUn1a86HUgfOjakjIEQ4itlNVhJNCYyPmk8kWiE2oFayhLL0Kg1dI50Mjtr9ui1mzs2U5pYyvv97zMvex6RaIT32t5jQvIElhYtpdHZyB/q/kBZYhnzcuZRaCtkb+9egpEgaaY0qtKqeLH2RWZkzCDbkk2uJZcudxdZ8Vl80P4BszNnU+OoYUHuAmKxGDWOGuqd9SzMWwgoI1eRWITbq5bjae3GE/LQnBHj7mnf5GqNjlvfuZWIKkIwGuSDtg/Y17uPc3PPJSXu9ByZ+CpNyrby7M3TyE82n3D809IDABuO9nLu+DSurM4ZPZYcbyA5/sQE8E+DJ4BFE/5UoTzeqOXflpYTjkQ52uPiB4snoFar6B7yATHOn5DOOzU9DHmDtDm8HDw+RIvDzcgnK/yevmkqG2r7MGjUfGtuAZ5AiLsWFhFv0JKbZGJ3q5P/ua4Kk0HpCne3OfnWnALW1XSjBuKNGp79qI17zivmgTU1zC9NpSov8UtsRXEmkxEoIcRXLhJV9h1TqVR0jHSQZ8lDpVJxoP8AU1KnjNbtcQVdGDQGut3dvN74OvdNv4+1zWs5J+ccJTm87g80OBvo8/Xx2LzHyLXkUuuo5YP2D5S8qsRi/njsj8RplWKeOo2OQCTAzu6dzMmeg06tG60TNOgfxB1yYzPYsOiVTj8cDbOhbQPnZy7AUbufutQg27q3EQgHGG8bz//W/y9d3q7R91KhosRawtSMqdwy8RZyLDknv/zXXH2vi0g0xsQs61g/ygnWHOjEH4rSPuClxeHmsSsm8eyWZg50DFKcZiE70YhZrxvdiw8Y3R9ve9MAC8vScHqCHGgfJDspjhSznhSLcaxe53NJHzo2JIASQpw2Nh7fyKK8RQBs69rG1PSpvHXsLY40N7JkyvkUJhaQYc4AlJVYbza/SSwWoyypjExzJmtb1hKOhvlWxbfY3LEZh8/BN0q/gTfk5YPjH3BZ0WWj3zXkHyIYVUau/lzdQB27e3cTr1X2/uvz9XGwbguD5ii9I70ECJxwvRYt5+Wdxy8X/BKtWgb1T2cPrz3CrXMK6B324XAHuaQya6wf6UshfejYkABKCHHa8IQ8mHVm3mp+i8uKLuO46zgAFm8yW10bubz0MtY2r+WSwktQq9TEYjFlSjCpDK1aiy/sIxaLYdIplak/rSP159Y2r2Vp0VLaXe1s6thEWVIZ0ViUD9o/4HrdHWRXJHDc084LtS9wd/XdaFVannrmNo4UKQU8B0Mnbzh8ScElWHQWHpj9wFffSKeh+l4XZRmn/8/uAY9Sm+rrRvrQsXH6ZcMJIc5aZp2ST/PpSNEh+yHyEvJIzDBzealybGnR0tEiliqVClfQxWuNSkmBOG3caPAEsKVrCz3uHvb07hk9trRoKQDuoJuqtCqSjEnMyZrDP1X/E778PsLqEHkJeVxcdDE2g43dPbupKdRQnlyORv3Z232sb11PMBr8klvjzBGOjPnv4aOa+t1/8dzXMXgSY0cCKCHEaevTYOezrG1eC0BFSsXoNFwoEuKw/TDDgWF29exi8bjFZMZnMjF5IhvbN57w+T5vH5NTJ4+uCvSFfbgDbrQqLa83vo4n5GF923rsXjuekId3W9/FFXBhUptI0CSgQzd6rzRzGj+Y/oMv+/XPGBXZp0/+kycQHutHEGcJmbAXQpxx3m19dzQxPUGfMJo3pVFrSDOlYTVYmZw6efR6k87EovxFJ9zjvLzzRv+91lHL6sbV+CI+XCEXCfoEavprsBlto9N827u3Y9ab0aLFEXQQJYpBZcCkM1FkK8Ib9rKrd9foij4xNiZ/spGxEF81CaCEEGecJQVLTvjvT/OaBv2Do0nmRu3JK6ZcQRcNzobRWlOhaIhzc87ltzW/5fGFjxOJRvj33f9OmjmN4dAwba42ItEIO3t2okKFJ+RBo9aQHZ+NDh2usItEQyKF1kJSTCkSPP0dufwhEoy6v36hEF8RCaCEEGe8T6f6tndvJ8OcwfSM6Tx76FmC0SAzMmYwPmk8ne5O9Go9NoONJGMSkWiEd1reIdmQzD9M/gce2fGIUvKgaycZ8Rm4Q25KbaXUO+uJ08YRjASxGWygBpvBxp2T7+S52udYWrSUK0uuHNsGOAvtbx9kTlHKaVnYUpwdJIASQnxtfBpI9Xv72dGzA3fQTZ+7j6bkJuqd9VyQfwFvNL3Bebnn8XL9y5h1Znb37qZ5sJk+bx/5CfmEo2ECkQBF1iK2dm0l05SJM+DErDcTJUqKMQVX0MWB/gPcP/1+JiRPGOO3Prs09o1Qmm7h3PFpf/1iIb5CUsZACPG15Q16+c2h33Bs6Bh3VN7Bfx/4b44OHKU0sRSdWoc75CZBn4Ar6KLP3YfVaCXBkMD3qr/H+rb19Lh76HR3Eo1GybZkU5lSySH7Ia4pu0am6/7Omu1uGnpHyEsynVZJ66cD6UPHhgRQQoivPXfQTbw+ng5XByOBEWqdtRzoP8Cj8x5lJDjCK/WvcP2E6wGw6C3YvXYaBxvxR/zUD9STYc4g1ZQKQFlS2UnFN8VXIxiO0un0sPLjNr45ZxzJ8QaSzPqxfqzTjvShY0MCKCGEEF+ZrY12ZhQkYdT9qYZW77CfDOtnb4sSicao73Hx/I5WEow6ZhYk0TXkP2HLFXEi6UPHhuRACSGE+H/25sEuLq3MQqNWEYvFaB/w4vKH2NM6wKGOIfpH/CSbDcQbNejUGlRquKIqmzf2dzG3OBmTXsuhDie/3dpKfrKJVoeX5XPHcd6EDDRq1Vi/nhAnkQBKCCHE/5Otjf1kJBh5+K1aClJN7Gp1MrMgmW/NLcAXjLCxro9zx6exs9XB6v2dLCpLY2eLg/YBD1sa+ul0emgb8HJ8wMPk3EQeu3ISWo2srhOnN5nCE0II8Tc7eHyIn71Ty+RsK68e6KQgycSlk3M40j3MdTNy2dJgxxMIc9zpJcWsZ3FFJm/s7yAr0cQ9i0qxxim1nDyBMGaD/E7/t5A+dGzI/61CCCFOiTsQ5qkPjzEwEmRjQx+BYJjuQS95iSaGfSFe23ucJRWZFCTH48gKYIvT8ereThJMel7d18HC8WlcNTWHEX+YLY12FpSmSvAkzjjyf6wQQogvpGfYh1atJtViYG+7k/puFwvK0tjV4iSmUpFo0jHATubnXYTFqGNHs4NntzZjdwdYNiWH719Yikn/p27HEK9hQWnqGL6REH87CaCEEEJ8IVq1Gp1GxY3PbmdP2xBGDeTY4tgNlKZbyLQa8Yfmcl5ZOo9/0ITFqMUXinLJpEx+fGn5WD++EF8qydITQgjxuf54oBOAVIuBX29uYmfLIACBCGxtdLBkUga3zB6HJxhhbkkK25oGePPueYzPSODVO2fz8OWTxvLxhfhKyAiUEEKIz7VsSjYAg54gerWaytwELq3Mom/YR3lWIsuqs4lGY8wqSj5hiu5BGXUSX2OyCk8IIcTfxB0IY9Cq0UnJgTElfejYkBEoIYQQf5N4WTknzmLya4MQQgghxCmSAEoIIYQQ4hRJACWEEEIIcYokgBJCCCGEOEUSQAkhhBBCnCIJoIQQQgghTpEEUEIIIYQQp0gCKCGEEEKIUyQBlBBCCCHEKZIASgghhBDiFEkAJYQQQghxiiSAEkIIIYQ4RRJACSGEEEKcotNiK+1YLAaAy+Ua4ycRQgghziyf9p2f9qXi7+O0CKBGRkYAyM3NHeMnEUIIIc5MIyMjWK3WsX6Ms4YqdhqErNFolO7ubiwWCyqVaqwfRwghhDhjxGIxRkZGyMrKQq2WzJy/l9MigBJCCCGEOJNIqCqEEEIIcYokgBJCCCGEOEUSQAkhhBBCnCIJoIQQQgghTpEEUEIIIYQQp0gCKCGEEEKIUyQBlBBCCCHEKZIASgghhBDiFEkAJcTXyLnnnsv3vve9k46vWbNmtMr/qlWrUKlUTJgw4aTrXn31VVQqFePGjTvpnM/nIzExkaSkJHw+30nnx40bh0qlQqVSYTKZqKio4Jlnnhk939PTww033MD48eNRq9Wf+ZxCCHGmkABKiLOQ2Wymv7+fHTt2nHB85cqV5OXlfeZnVq9eTUVFBeXl5bzxxhufec1Pf/pTenp6OHz4MMuWLePOO+/klVdeASAQCJCamsoDDzzA5MmTv9wXEkKIvzMJoIQ4C2m1Wm644QZWrlw5eqyzs5PNmzdzww03fOZnVqxYwU033cRNN93EihUrPvMai8VCRkYGxcXFPProo5SUlLBmzRpAGaF64oknuOWWW2TDUyHEGU8CKCHOUt/+9rd55ZVX8Hq9gDK1t3jxYtLT00+6trm5mR07dnDNNddwzTXXsH37dlpaWv7qdxiNRkKh0Jf+7EIIMdYkgBLiLDVlyhSKiop4/fXXicVirFq1iuXLl3/mtStXrmTJkiWjOVCLFy8+YfTq/wqHw6xatYqamhoWLVr0Vb2CEEKMGQmghDiLLV++nOeee44tW7bgdru5+OKLT7omEonw/PPPc9NNN40eu+mmm3j++eeJRCInXPuDH/yA+Ph44uLi+O53v8t9993HHXfc8ZW/hxBC/L1px/oBhBBfnoSEBIaHh086PjQ0REJCwknHb7zxRu6//34eeughbrnlFrTak38krF+/nq6uLq699toTjkciETZs2MCSJUtGj913333ceuutmEwmMjMzR1f+CSHE142MQAnxNVJWVsbevXtPOr5nzx7Gjx9/0vGkpCQuu+wytmzZ8hen71asWMF1113HwYMHT/hz4403npRMnpKSQnFxMVlZWRI8CSG+1mQESoivkbvuuosnn3yS7373u9x+++3ExcXx/vvvs2LFCl588cXP/MyqVav49a9/TXJy8knn7HY7a9eu5a233qKiouKEc9/85je55JJLsNvtpKamfqHnO3jwIAButxu73c7BgwfR6/WUl5ef2osKIcQYkwBKiK+RcePG8dFHH/HAAw9w4YUX4vf7KS0tZdWqVVx99dWf+Zm4uDji4uI+89wLL7yA2Wz+zETwhQsXYrFYePHFF/n+97//hZ6vqqpq9N/37dvHSy+9RH5+Pm1tbV/o80IIcbpQxWKx2Fg/hBBCCCHEmURyoIQQQgghTpEEUEIIIYQQp0gCKCGEEEKIUyQBlBBCCCHEKZIASgghhBDiFEkAJYQQQghxiiSAEkIIIYQ4RRJACSGEEEKcIgmghBBCCCFOkQRQQgghhBCnSAIoIYQQQohTJAGUEEIIIcQp+v8BrDqv9q7t5s8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 600x450 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc.tl.umap(frog_data,\n",
    "           init_pos='paga')\n",
    "sc.pl.umap(frog_data,\n",
    "           title='X. tropicalis - embryo stage - UMAP', color=['stage'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "efe8ea3c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x450 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plt.rcParams['figure.figsize'] = [7.5, 4.5]\n",
    "sc.pl.umap(frog_data,\n",
    "           title='X. tropicalis - TEI - UMAP',\n",
    "           color=['tei'],\n",
    "           color_map='viridis',\n",
    "           vmin='p5',\n",
    "           vmax='p95')\n",
    "#plt.rcParams['figure.figsize'] = [6, 4.5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "db0b99ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda3/envs/scanpy/lib/python3.8/site-packages/scanpy/plotting/_tools/scatterplots.py:325: UserWarning: No data for colormapping provided via 'c'. Parameters 'cmap' will be ignored\n",
      "  cax = ax.scatter(\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x450 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#3d\n",
    "sc.tl.umap(frog_data,\n",
    "           n_components=3)\n",
    "sc.pl.umap(frog_data,\n",
    "           title='X. tropicalis - embryo stage - UMAP', color=['stage'],\n",
    "           projection='3d')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "62ce2b0b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x450 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plt.rcParams['figure.figsize'] = [7.5, 4.5]\n",
    "sc.pl.umap(frog_data,\n",
    "           title='X. tropicalis - TEI - UMAP',\n",
    "           color=['tei'],\n",
    "           color_map='viridis',\n",
    "           vmin='p5',\n",
    "           vmax='p95',\n",
    "           projection='3d')\n",
    "#plt.rcParams['figure.figsize'] = [6, 4.5]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "b1a4c7d7",
   "metadata": {},
   "outputs": [
    {
     "data": {
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kt,At=function(r,n){O.selectAll(\".annotation-arrow-g\").remove();var l=C.x.head,f=C.y.head,h=C.x.tail+r,p=C.y.tail+n,v=C.x.text+r,b=C.y.text+n,_=o.rotationXYMatrix(P,v,b),w=o.apply2DTransform(_),A=o.apply2DTransform2(_),L=+j.attr(\"width\"),D=+j.attr(\"height\"),z=v-.5*L,F=z+L,B=b-.5*D,N=B+D,U=[[z,B,z,N],[z,N,F,N],[F,N,F,B],[F,B,z,B]].map(A);if(!U.reduce((function(t,e){return t^!!o.segmentsIntersect(l,f,l+1e6,f+1e6,e[0],e[1],e[2],e[3])}),!1)){U.forEach((function(t){var e=o.segmentsIntersect(h,p,l,f,t[0],t[1],t[2],t[3]);e&&(h=e.x,p=e.y)}));var V=e.arrowwidth,H=e.arrowcolor,q=e.arrowside,G=O.append(\"g\").style({opacity:u.opacity(H)}).classed(\"annotation-arrow-g\",!0),Z=G.append(\"path\").attr(\"d\",\"M\"+h+\",\"+p+\"L\"+l+\",\"+f).style(\"stroke-width\",V+\"px\").call(u.stroke,u.rgb(H));if(g(Z,q,e),k.annotationPosition&&Z.node().parentNode&&!a){var Y=l,W=f;if(e.standoff){var X=Math.sqrt(Math.pow(l-h,2)+Math.pow(f-p,2));Y+=e.standoff*(h-l)/X,W+=e.standoff*(p-f)/X}var J,K,$=G.append(\"path\").classed(\"annotation-arrow\",!0).classed(\"anndrag\",!0).classed(\"cursor-move\",!0).attr({d:\"M3,3H-3V-3H3ZM0,0L\"+(h-Y)+\",\"+(p-W),transform:s(Y,W)}).style(\"stroke-width\",V+6+\"px\").call(u.stroke,\"rgba(0,0,0,0)\").call(u.fill,\"rgba(0,0,0,0)\");d.init({element:$.node(),gd:t,prepFn:function(){var t=c.getTranslate(R);J=t.x,K=t.y,y&&y.autorange&&M(y._name+\".autorange\",!0),x&&x.autorange&&M(x._name+\".autorange\",!0)},moveFn:function(t,r){var n=w(J,K),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 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e=t._fullLayout;e._infolayer.selectAll(\".annotation\").remove();for(var r=0;r<e.annotations.length;r++)e.annotations[r].visible&&y(t,r);return a.previousPromises(t)},drawOne:y,drawRaw:x}},13011:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(82884),o=r(71828),s=o.strScale,l=o.strRotate,u=o.strTranslate;t.exports=function(t,e,r){var o,c,f,h,p=t.node(),d=a[r.arrowhead||0],v=a[r.startarrowhead||0],g=(r.arrowwidth||1)*(r.arrowsize||1),y=(r.arrowwidth||1)*(r.startarrowsize||1),m=e.indexOf(\"start\")>=0,x=e.indexOf(\"end\")>=0,b=d.backoff*g+r.standoff,_=v.backoff*y+r.startstandoff;if(\"line\"===p.nodeName){o={x:+t.attr(\"x1\"),y:+t.attr(\"y1\")},c={x:+t.attr(\"x2\"),y:+t.attr(\"y2\")};var w=o.x-c.x,T=o.y-c.y;if(h=(f=Math.atan2(T,w))+Math.PI,b&&_&&b+_>Math.sqrt(w*w+T*T))return void D();if(b){if(b*b>w*w+T*T)return void D();var k=b*Math.cos(f),A=b*Math.sin(f);c.x+=k,c.y+=A,t.attr({x2:c.x,y2:c.y})}if(_){if(_*_>w*w+T*T)return void D();var 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n=r(92605),i=r(44317);t.exports={moduleType:\"component\",name:\"annotations\",layoutAttributes:r(50215),supplyLayoutDefaults:r(84046),includeBasePlot:r(76325)(\"annotations\"),calcAutorange:r(3749),draw:n.draw,drawOne:n.drawOne,drawRaw:n.drawRaw,hasClickToShow:i.hasClickToShow,onClick:i.onClick,convertCoords:r(94128)}},26997:function(t,e,r){\"use strict\";var n=r(50215),i=r(30962).overrideAll,a=r(44467).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\")},5485:function(t,e,r){\"use strict\";var n=r(71828),i=r(89298);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()}},20226:function(t,e,r){\"use strict\";var n=r(71828),i=r(89298),a=r(85501),o=r(25625),s=r(26997);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})}},82188:function(t,e,r){\"use strict\";var n=r(92605).drawRaw,i=r(63538),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))}}},2468:function(t,e,r){\"use strict\";var n=r(73972),i=r(71828);t.exports={moduleType:\"component\",name:\"annotations3d\",schema:{subplots:{scene:{annotations:r(26997)}}},layoutAttributes:r(26997),handleDefaults:r(20226),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(5485),draw:r(82188)}},7561:function(t,e,r){\"use 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date data.\"}var g={xcalendar:d(v(\"x\"))},y=i.extendFlat({},g,{ycalendar:d(v(\"y\"))}),m=i.extendFlat({},y,{zcalendar:d(v(\"z\"))}),x=d([\"Sets the calendar system to use for `range` and `tick0`\",\"if this is a date axis. This does not set the calendar for\",\"interpreting data on this axis, that's specified in the trace\",\"or via the global `layout.calendar`\"].join(\" \"));t.exports={moduleType:\"component\",name:\"calendars\",schema:{traces:{scatter:y,bar:y,box:y,heatmap:y,contour:y,histogram:y,histogram2d:y,histogram2dcontour:y,scatter3d:m,surface:m,mesh3d:m,scattergl:y,ohlc:g,candlestick:g},layout:{calendar:d([\"Sets the default calendar system to use for interpreting and\",\"displaying dates throughout the plot.\"].join(\" \"))},subplots:{xaxis:{calendar:x},yaxis:{calendar:x},scene:{xaxis:{calendar:x},yaxis:{calendar:x},zaxis:{calendar:x}},polar:{radialaxis:{calendar:x}}},transforms:{filter:{valuecalendar:d([\"WARNING: All transforms are deprecated and may be removed from the API in next major version.\",\"Sets the calendar system to use for `value`, if it is a date.\"].join(\" \")),targetcalendar:d([\"WARNING: All transforms are deprecated and may be removed from the API in next major version.\",\"Sets the calendar system to use for `target`, if it is an\",\"array of dates. If `target` is a string (eg *x*) we use the\",\"corresponding trace attribute (eg `xcalendar`) if it exists,\",\"even if `targetcalendar` is provided.\"].join(\" \"))}}},layoutAttributes:l,handleDefaults:u,handleTraceDefaults:function(t,e,r,n){for(var i=0;i<r.length;i++)u(t,e,r[i]+\"calendar\",n.calendar)},CANONICAL_SUNDAY:{chinese:\"2000-01-02\",coptic:\"2000-01-03\",discworld:\"2000-01-03\",ethiopian:\"2000-01-05\",hebrew:\"5000-01-01\",islamic:\"1000-01-02\",julian:\"2000-01-03\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-05\",nepali:\"2000-01-05\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-04\",thai:\"2000-01-04\",ummalqura:\"1400-01-06\"},CANONICAL_TICK:{chinese:\"2000-01-01\",coptic:\"2000-01-01\",discworld:\"2000-01-01\",ethiopian:\"2000-01-01\",hebrew:\"5000-01-01\",islamic:\"1000-01-01\",julian:\"2000-01-01\",mayan:\"5000-01-01\",nanakshahi:\"1000-01-01\",nepali:\"2000-01-01\",persian:\"1000-01-01\",jalali:\"1000-01-01\",taiwan:\"1000-01-01\",thai:\"2000-01-01\",ummalqura:\"1400-01-01\"},DFLTRANGE:{chinese:[\"2000-01-01\",\"2001-01-01\"],coptic:[\"1700-01-01\",\"1701-01-01\"],discworld:[\"1800-01-01\",\"1801-01-01\"],ethiopian:[\"2000-01-01\",\"2001-01-01\"],hebrew:[\"5700-01-01\",\"5701-01-01\"],islamic:[\"1400-01-01\",\"1401-01-01\"],julian:[\"2000-01-01\",\"2001-01-01\"],mayan:[\"5200-01-01\",\"5201-01-01\"],nanakshahi:[\"0500-01-01\",\"0501-01-01\"],nepali:[\"2000-01-01\",\"2001-01-01\"],persian:[\"1400-01-01\",\"1401-01-01\"],jalali:[\"1400-01-01\",\"1401-01-01\"],taiwan:[\"0100-01-01\",\"0101-01-01\"],thai:[\"2500-01-01\",\"2501-01-01\"],ummalqura:[\"1400-01-01\",\"1401-01-01\"]},getCal:p,worldCalFmt:function(t,e,r){for(var 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x=U.map(it.c2p).map(Math.round).sort((function(t,e){return t-e}));m.each((function(t,a){var s=[0===a?U[0]:(Z[a]+Z[a-1])/2,a===Z.length-1?U[1]:(Z[a]+Z[a+1])/2].map(it.c2p).map(Math.round);o&&(s[1]=u.constrain(s[1]+(s[1]>s[0])?1:-1,x[0],x[1]));var l=n.select(this).attr(o?\"x\":\"y\",$).attr(o?\"y\":\"x\",n.min(s)).attr(o?\"width\":\"height\",Math.max(W,2)).attr(o?\"height\":\"width\",Math.max(n.max(s)-n.min(s),2));if(e._fillgradient)p.gradient(l,r,e._id,o?\"vertical\":\"horizontalreversed\",e._fillgradient,\"fill\");else{var c=H(t).replace(\"e-\",\"\");l.attr(\"fill\",i(c).toHexString())}}));var b=t.select(\".\"+A.cblines).selectAll(\"path.\"+A.cbline).data(B.color&&B.width?Y:[]);b.enter().append(\"path\").classed(A.cbline,!0),b.exit().remove(),b.each((function(t){var e=$,r=Math.round(it.c2p(t))+B.width/2%1;n.select(this).attr(\"d\",\"M\"+(o?e+\",\"+r:r+\",\"+e)+(o?\"h\":\"v\")+W).call(p.lineGroupStyle,B.width,V(t),B.dash)})),dt.selectAll(\"g.\"+it._id+\"tick,path\").remove();var 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ot,st,lt,ut,ct=d.select(\"g.legend\"),ft=H(r,ct.node()),ht=ft.width+2*S,pt=ft.height+2*S,dt=W[0],vt=(dt.x0+dt.x1)/2,gt=(dt.y0+dt.y1)/2,yt=!(g.traceIs(dt.trace,\"bar-like\")||g.traceIs(dt.trace,\"box-violin\"));\"y\"===P?yt?(st=gt-S,ot=gt+S):(st=Math.min.apply(null,W.map((function(t){return Math.min(t.y0,t.y1)}))),ot=Math.max.apply(null,W.map((function(t){return Math.max(t.y0,t.y1)})))):st=ot=o.mean(W.map((function(t){return(t.y0+t.y1)/2})))-pt/2,\"x\"===P?yt?(lt=vt+S,ut=vt-S):(lt=Math.max.apply(null,W.map((function(t){return Math.max(t.x0,t.x1)}))),ut=Math.min.apply(null,W.map((function(t){return Math.min(t.x0,t.x1)})))):lt=ut=o.mean(W.map((function(t){return(t.x0+t.x1)/2})))-ht/2;var mt,xt,bt=E._offset,_t=L._offset;return ut+=bt-ht,st+=_t-pt,mt=(lt+=bt)+ht<B&&lt>=0?lt:ut+ht<B&&ut>=0?ut:bt+ht<B?bt:lt-vt<vt-ut+ht?B-ht:0,mt+=S,xt=(ot+=_t)+pt<N&&ot>=0?ot:st+pt<N&&st>=0?st:_t+pt<N?_t:ot-gt<gt-st+pt?N-pt:0,xt+=S,ct.attr(\"transform\",s(mt-1,xt-1)),ct}var wt=d.selectAll(\"g.hovertext\").data(t,(function(t){return C(t)}));return wt.enter().append(\"g\").classed(\"hovertext\",!0).each((function(){var t=n.select(this);t.append(\"rect\").call(p.fill,p.addOpacity(f,.8)),t.append(\"text\").classed(\"name\",!0),t.append(\"path\").style(\"stroke-width\",\"1px\"),t.append(\"text\").classed(\"nums\",!0).call(h.font,T,k)})),wt.exit().remove(),wt.each((function(t){var e=n.select(this).attr(\"transform\",\"\"),o=t.color;Array.isArray(o)&&(o=o[t.eventData[0].pointNumber]);var 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n=r(85555),i=r(44467).templatedArray;r(24695),t.exports=i(\"image\",{visible:{valType:\"boolean\",dflt:!0,editType:\"arraydraw\"},source:{valType:\"string\",editType:\"arraydraw\"},layer:{valType:\"enumerated\",values:[\"below\",\"above\"],dflt:\"above\",editType:\"arraydraw\"},sizex:{valType:\"number\",dflt:0,editType:\"arraydraw\"},sizey:{valType:\"number\",dflt:0,editType:\"arraydraw\"},sizing:{valType:\"enumerated\",values:[\"fill\",\"contain\",\"stretch\"],dflt:\"contain\",editType:\"arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"arraydraw\"},x:{valType:\"any\",dflt:0,editType:\"arraydraw\"},y:{valType:\"any\",dflt:0,editType:\"arraydraw\"},xanchor:{valType:\"enumerated\",values:[\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"arraydraw\"},yanchor:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"top\",editType:\"arraydraw\"},xref:{valType:\"enumerated\",values:[\"paper\",n.idRegex.x.toString()],dflt:\"paper\",editType:\"arraydraw\"},yref:{valType:\"enumerated\",values:[\"paper\",n.idRegex.y.toString()],dflt:\"paper\",editType:\"arraydraw\"},editType:\"arraydraw\"})},75378:function(t,e,r){\"use 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r=n.select(this);if(this._imgSrc!==e.source)if(r.attr(\"xmlns\",s.svg),e.source&&\"data:\"===e.source.slice(0,5))r.attr(\"xlink:href\",e.source),this._imgSrc=e.source;else{var i=new Promise(function(t){var n=new Image;function i(){r.remove(),t()}this.img=n,n.setAttribute(\"crossOrigin\",\"anonymous\"),n.onerror=i,n.onload=function(){var e=document.createElement(\"canvas\");e.width=this.width,e.height=this.height,e.getContext(\"2d\",{willReadFrequently:!0}).drawImage(this,0,0);var n=e.toDataURL(\"image/png\");r.attr(\"xlink:href\",n),t()},r.on(\"error\",i),n.src=e.source,this._imgSrc=e.source}.bind(this));t._promises.push(i)}}function y(e){var r,o,s=n.select(this),u=a.getFromId(t,e.xref),c=a.getFromId(t,e.yref),f=\"domain\"===a.getRefType(e.xref),h=\"domain\"===a.getRefType(e.yref),p=l._size;r=void 0!==u?\"string\"==typeof e.xref&&f?u._length*e.sizex:Math.abs(u.l2p(e.sizex)-u.l2p(0)):e.sizex*p.w,o=void 0!==c?\"string\"==typeof 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b=Object.keys(l._plots);for(r=0;r<b.length;r++){e=b[r];var _=l._plots[e];if(_.imagelayer){var w=_.imagelayer.selectAll(\"image\").data(c[e]||[]);w.enter().append(\"image\"),w.exit().remove(),w.each((function(t){g.bind(this)(t),y.bind(this)(t)}))}}}},68804:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"images\",layoutAttributes:r(69819),supplyLayoutDefaults:r(81603),includeBasePlot:r(76325)(\"images\"),draw:r(80750),convertCoords:r(75378)}},33030:function(t,e,r){\"use strict\";var n=r(41940),i=r(22399);t.exports={bgcolor:{valType:\"color\",editType:\"legend\"},bordercolor:{valType:\"color\",dflt:i.defaultLine,editType:\"legend\"},borderwidth:{valType:\"number\",min:0,dflt:0,editType:\"legend\"},font:n({editType:\"legend\"}),grouptitlefont:n({editType:\"legend\"}),orientation:{valType:\"enumerated\",values:[\"v\",\"h\"],dflt:\"v\",editType:\"legend\"},traceorder:{valType:\"flaglist\",flags:[\"reversed\",\"grouped\"],extras:[\"normal\"],editType:\"legend\"},tracegroupgap:{valType:\"number\",min:0,dflt:10,editType:\"legend\"},entrywidth:{valType:\"number\",min:0,editType:\"legend\"},entrywidthmode:{valType:\"enumerated\",values:[\"fraction\",\"pixels\"],dflt:\"pixels\",editType:\"legend\"},itemsizing:{valType:\"enumerated\",values:[\"trace\",\"constant\"],dflt:\"trace\",editType:\"legend\"},itemwidth:{valType:\"number\",min:30,dflt:30,editType:\"legend\"},itemclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggle\",editType:\"legend\"},itemdoubleclick:{valType:\"enumerated\",values:[\"toggle\",\"toggleothers\",!1],dflt:\"toggleothers\",editType:\"legend\"},groupclick:{valType:\"enumerated\",values:[\"toggleitem\",\"togglegroup\"],dflt:\"togglegroup\",editType:\"legend\"},x:{valType:\"number\",min:-2,max:3,editType:\"legend\"},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"left\",editType:\"legend\"},y:{valType:\"number\",min:-2,max:3,editType:\"legend\"},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],editType:\"legend\"},uirevision:{valType:\"any\",editType:\"none\"},valign:{valType:\"enumerated\",values:[\"top\",\"middle\",\"bottom\"],dflt:\"middle\",editType:\"legend\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"legend\"},font:n({editType:\"legend\"}),side:{valType:\"enumerated\",values:[\"top\",\"left\",\"top 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w,T,k,A=i.coerceFont(p,\"font\",e.font),M=\"h\"===p(\"orientation\");if(M?(w=0,n.getComponentMethod(\"rangeslider\",\"isVisible\")(t.xaxis)?(T=1.1,k=\"bottom\"):(T=-.1,k=\"top\")):(w=1.02,T=1,k=\"auto\"),p(\"traceorder\",x),u.isGrouped(e.legend)&&p(\"tracegroupgap\"),p(\"entrywidth\"),p(\"entrywidthmode\"),p(\"itemsizing\"),p(\"itemwidth\"),p(\"itemclick\"),p(\"itemdoubleclick\"),p(\"groupclick\"),p(\"x\",w),p(\"xanchor\"),p(\"y\",T),p(\"yanchor\",k),p(\"valign\"),i.noneOrAll(f,h,[\"x\",\"y\"]),p(\"title.text\")){p(\"title.side\",M?\"left\":\"top\");var S=i.extendFlat({},A,{size:i.bigFont(A.size)});i.coerceFont(p,\"title.font\",S)}}}},43969:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828),a=r(74875),o=r(73972),s=r(11086),l=r(28569),u=r(91424),c=r(7901),f=r(63893),h=r(85167),p=r(14928),d=r(18783),v=d.LINE_SPACING,g=d.FROM_TL,y=d.FROM_BR,m=r(82424),x=r(53630),b=r(10130);function _(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 w(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),!1!==s.triggerHandler(t,\"plotly_legendclick\",l)&&(1===n?e._clickTimeout=setTimeout((function(){t._fullLayout&&h(r,t,n)}),t._context.doubleClickDelay):2===n&&(e._clickTimeout&&clearTimeout(e._clickTimeout),t._legendMouseDownTime=0,!1!==s.triggerHandler(t,\"plotly_legenddoubleclick\",l)&&h(r,t,n)))}function T(t,e,r){var n,a,s=t.data()[0][0],l=s.trace,c=o.traceIs(l,\"pie-like\"),h=!r._inHover&&e._context.edits.legendText&&!c,d=r._maxNameLength;s.groupTitle?(n=s.groupTitle.text,a=s.groupTitle.font):(a=r.font,r.entries?n=s.text:(n=c?s.label:l.name,l._meta&&(n=i.templateString(n,l._meta))));var v=i.ensureSingle(t,\"text\",\"legendtext\");v.attr(\"text-anchor\",\"start\").call(u.font,a).text(h?k(n,d):n);var g=r.itemwidth+2*p.itemGap;f.positionText(v,g,0),h?v.call(f.makeEditable,{gd:e,text:n}).call(M,t,e,r).on(\"edit\",(function(n){this.text(k(n,d)).call(M,t,e,r);var a=s.trace._fullInput||{},u={};if(o.hasTransform(a,\"groupby\")){var c=o.getTransformIndices(a,\"groupby\"),f=c[c.length-1],h=i.keyedContainer(a,\"transforms[\"+f+\"].styles\",\"target\",\"value.name\");h.set(s.trace._group,n),u=h.constructUpdate()}else u.name=n;return o.call(\"_guiRestyle\",e,u,l.index)})):M(v,t,e,r)}function k(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 A(t,e){var r,a=e._context.doubleClickDelay,o=1,s=i.ensureSingle(t,\"rect\",\"legendtoggle\",(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||(s.on(\"mousedown\",(function(){(r=(new Date).getTime())-e._legendMouseDownTime<a?o+=1:(o=1,e._legendMouseDownTime=r)})),s.on(\"mouseup\",(function(){if(!e._dragged&&!e._editing){var r=e._fullLayout.legend;(new Date).getTime()-e._legendMouseDownTime>a&&(o=Math.max(o-1,1)),w(e,r,t,o,n.event)}})))}function M(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();r||(r=e._fullLayout.legend);var s,l,c=r.borderwidth,h=(1===n?r.title.font:i.groupTitle?i.groupTitle.font:r.font).size*v;if(o){var 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r,s,f=t._fullLayout,h=\"legend\"+f._uid,d=e._inHover;if(d?(r=e.layer,h+=\"-hover\"):r=f._infolayer,r){if(t._legendMouseDownTime||(t._legendMouseDownTime=0),d){if(!e.entries)return;s=m(e.entries,e)}else{if(!t.calcdata)return;s=f.showlegend&&m(t.calcdata,e)}var v=f.hiddenlabels||[];if(!(d||f.showlegend&&s.length))return r.selectAll(\".legend\").remove(),f._topdefs.select(\"#\"+h).remove(),a.autoMargin(t,\"legend\");var k=i.ensureSingle(r,\"g\",\"legend\",(function(t){d||t.attr(\"pointer-events\",\"all\")})),L=i.ensureSingleById(f._topdefs,\"clipPath\",h,(function(t){t.append(\"rect\")})),C=i.ensureSingle(k,\"rect\",\"bg\",(function(t){t.attr(\"shape-rendering\",\"crispEdges\")}));C.call(c.stroke,e.bordercolor).call(c.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\");var P=i.ensureSingle(k,\"g\",\"scrollbox\"),O=e.title;if(e._titleWidth=0,e._titleHeight=0,O.text){var 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G=t._context.edits,Z=G.legendText||G.legendPosition;r.each((function(t){var e=n.select(this).select(\".legendtoggle\"),r=t[0].height,a=t[0].trace.legendgroup,o=_(t,i,v);l&&\"\"!==a&&(o=T[a]);var f=Z?v:k||o;s||c||(f+=d/2),u.setRect(e,0,-r/2,f,r)}))}(t,z,R,e)},function(){var s,c,v,m,x=f._size,b=e.borderwidth;if(!d){var _=function(t){var e=t._fullLayout.legend,r=S(e),n=E(e);return a.autoMargin(t,\"legend\",{x:e.x,y:e.y,l:e._width*g[r],r:e._width*y[r],b:e._effHeight*y[n],t:e._effHeight*g[n]})}(t);if(_)return;var T=x.l+x.w*e.x-g[S(e)]*e._width,A=x.t+x.h*(1-e.y)-g[E(e)]*e._effHeight;if(f.margin.autoexpand){var M=T,O=A;T=i.constrain(T,0,f.width-e._width),A=i.constrain(A,0,f.height-e._effHeight),T!==M&&i.log(\"Constrain legend.x to make legend fit inside graph\"),A!==O&&i.log(\"Constrain legend.y to make legend fit inside graph\")}u.setTranslate(k,T,A)}if(D.on(\".drag\",null),k.on(\"wheel\",null),d||e._height<=e._maxHeight||t._context.staticPlot){var I=e._effHeight;d&&(I=e._height),C.attr({width:e._width-b,height:I-b,x:b/2,y:b/2}),u.setTranslate(P,0,0),L.select(\"rect\").attr({width:e._width-2*b,height:I-2*b,x:b,y:b}),u.setClipUrl(P,h,t),u.setRect(D,0,0,0,0),delete e._scrollY}else{var z,R,F,B=Math.max(p.scrollBarMinHeight,e._effHeight*e._effHeight/e._height),N=e._effHeight-B-2*p.scrollBarMargin,j=e._height-e._effHeight,U=N/j,V=Math.min(e._scrollY||0,j);C.attr({width:e._width-2*b+p.scrollBarWidth+p.scrollBarMargin,height:e._effHeight-b,x:b/2,y:b/2}),L.select(\"rect\").attr({width:e._width-2*b+p.scrollBarWidth+p.scrollBarMargin,height:e._effHeight-2*b,x:b,y:b+V}),u.setClipUrl(P,h,t),G(V,B,U),k.on(\"wheel\",(function(){G(V=i.constrain(e._scrollY+n.event.deltaY/N*j,0,j),B,U),0!==V&&V!==j&&n.event.preventDefault()}));var H=n.behavior.drag().on(\"dragstart\",(function(){var t=n.event.sourceEvent;z=\"touchstart\"===t.type?t.changedTouches[0].clientY:t.clientY,F=V})).on(\"drag\",(function(){var 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n=v+t,i=m+r;u.setTranslate(k,n,i),s=l.align(n,0,x.l,x.l+x.w,e.xanchor),c=l.align(i,0,x.t+x.h,x.t,e.yanchor)},doneFn:function(){void 0!==s&&void 0!==c&&o.call(\"_guiRelayout\",t,{\"legend.x\":s,\"legend.y\":c})},clickFn:function(e,n){var i=r.selectAll(\"g.traces\").filter((function(){var t=this.getBoundingClientRect();return n.clientX>=t.left&&n.clientX<=t.right&&n.clientY>=t.top&&n.clientY<=t.bottom}));i.size()>0&&w(t,k,i,e,n)}}))}],t)}}(t,e)}},82424:function(t,e,r){\"use strict\";var n=r(73972),i=r(10130);t.exports=function(t,e){var r,a,o=e._inHover,s=i.isGrouped(e),l=i.isReversed(e),u={},c=[],f=!1,h={},p=0,d=0;function v(t,r){if(\"\"!==t&&i.isGrouped(e))-1===c.indexOf(t)?(c.push(t),f=!0,u[t]=[r]):u[t].push(r);else{var n=\"~~i\"+p;c.push(n),u[n]=[r],p++}}for(r=0;r<t.length;r++){var g=t[r],y=g[0],m=y.trace,x=m.legendgroup;if(o||m.visible&&m.showlegend)if(n.traceIs(m,\"pie-like\"))for(h[x]||(h[x]={}),a=0;a<g.length;a++){var b=g[a].label;h[x][b]||(v(x,{label:b,color:g[a].color,i:g[a].i,trace:m,pts:g[a].pts}),h[x][b]=!0,d=Math.max(d,(b||\"\").length))}else v(x,y),d=Math.max(d,(m.name||\"\").length)}if(!c.length)return[];var _=!f||!s,w=[];for(r=0;r<c.length;r++){var T=u[c[r]];_?w.push(T[0]):w.push(T)}for(_&&(w=[w]),r=0;r<w.length;r++){var k=1/0;for(a=0;a<w[r].length;a++){var A=w[r][a].trace.legendrank;k>A&&(k=A)}w[r][0]._groupMinRank=k,w[r][0]._preGroupSort=r}var M=function(t,e){return t.trace.legendrank-e.trace.legendrank||t._preSort-e._preSort};for(w.forEach((function(t,e){t[0]._preGroupSort=e})),w.sort((function(t,e){return t[0]._groupMinRank-e[0]._groupMinRank||t[0]._preGroupSort-e[0]._preGroupSort})),r=0;r<w.length;r++){w[r].forEach((function(t,e){t._preSort=e})),w[r].sort(M);var S=w[r][0].trace,E=null;for(a=0;a<w[r].length;a++){var L=w[r][a].trace.legendgrouptitle;if(L&&L.text){E=L,o&&(L.font=e._groupTitleFont);break}}if(l&&w[r].reverse(),E){var C=!1;for(a=0;a<w[r].length;a++)if(n.traceIs(w[r][a].trace,\"pie-like\")){C=!0;break}w[r].unshift({i:-1,groupTitle:E,noClick:C,trace:{showlegend:S.showlegend,legendgroup:S.legendgroup,visible:\"toggleitem\"===e.groupclick||S.visible}})}for(a=0;a<w[r].length;a++)w[r][a]=[w[r][a]]}return e._lgroupsLength=w.length,e._maxNameLength=d,w}},85167:function(t,e,r){\"use strict\";var n=r(71828),i=r(73972),a=!0;t.exports=function(t,e,r){var o=e._fullLayout;if(!e._dragged&&!e._editing){var s,l=o.legend.itemclick,u=o.legend.itemdoubleclick,c=o.legend.groupclick;if(1===r&&\"toggle\"===l&&\"toggleothers\"===u&&a&&e.data&&e._context.showTips?(n.notifier(n._(e,\"Double-click on legend to isolate one trace\"),\"long\"),a=!1):a=!1,1===r?s=l:2===r&&(s=u),s){var f=\"togglegroup\"===c,h=o.hiddenlabels?o.hiddenlabels.slice():[],p=t.data()[0][0];if(!p.groupTitle||!p.noClick){var d,v,g,y,m,x=e._fullData,b=p.trace,_=b.legendgroup,w={},T=[],k=[],A=[];if(i.traceIs(b,\"pie-like\")){var M=p.label,S=h.indexOf(M);\"toggle\"===s?-1===S?h.push(M):h.splice(S,1):\"toggleothers\"===s&&(h=[],e.calcdata[0].forEach((function(t){M!==t.label&&h.push(t.label)})),e._fullLayout.hiddenlabels&&e._fullLayout.hiddenlabels.length===h.length&&-1===S&&(h=[])),i.call(\"_guiRelayout\",e,\"hiddenlabels\",h)}else{var E,L=_&&_.length,C=[];if(L)for(d=0;d<x.length;d++)(E=x[d]).visible&&E.legendgroup===_&&C.push(d);if(\"toggle\"===s){var P;switch(b.visible){case!0:P=\"legendonly\";break;case!1:P=!1;break;case\"legendonly\":P=!0}if(L)if(f)for(d=0;d<x.length;d++)!1!==x[d].visible&&x[d].legendgroup===_&&j(x[d],P);else j(b,P);else j(b,P)}else if(\"toggleothers\"===s){var O,I,D,z,R=!0;for(d=0;d<x.length;d++)if(O=x[d]===b,D=!0!==x[d].showlegend,!(O||D||(I=L&&x[d].legendgroup===_)||!0!==x[d].visible||i.traceIs(x[d],\"notLegendIsolatable\"))){R=!1;break}for(d=0;d<x.length;d++)if(!1!==x[d].visible&&!i.traceIs(x[d],\"notLegendIsolatable\"))switch(b.visible){case\"legendonly\":j(x[d],!0);break;case!0:z=!!R||\"legendonly\",O=x[d]===b,D=!0!==x[d].showlegend&&!x[d].legendgroup,I=O||L&&x[d].legendgroup===_,j(x[d],!(!I&&!D)||z)}}for(d=0;d<k.length;d++)if(g=k[d]){var F=g.constructUpdate(),B=Object.keys(F);for(v=0;v<B.length;v++)y=B[v],(w[y]=w[y]||[])[A[d]]=F[y]}for(m=Object.keys(w),d=0;d<m.length;d++)for(y=m[d],v=0;v<T.length;v++)w[y].hasOwnProperty(v)||(w[y][v]=void 0);i.call(\"_guiRestyle\",e,w,T)}}}}function N(t,e,r){var n=T.indexOf(t),i=w[e];return i||(i=w[e]=[]),-1===T.indexOf(t)&&(T.push(t),n=T.length-1),i[n]=r,n}function j(t,e){if(!p.groupTitle||f){var r=t._fullInput;if(i.hasTransform(r,\"groupby\")){var a=k[r.index];if(!a){var 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d(t,e){return(e?\"radial\":\"horizontal\")+(t?\"\":\"reversed\")}function v(t){var e=t[0].trace,r=e.contours,n=c.hasLines(e),i=c.hasMarkers(e),a=e.visible&&e.fill&&\"none\"!==e.fill,o=!1,s=!1;if(r){var l=r.coloring;\"lines\"===l?o=!0:n=\"none\"===l||\"heatmap\"===l||r.showlines,\"constraint\"===r.type?a=\"=\"!==r._operation:\"fill\"!==l&&\"heatmap\"!==l||(s=!0)}return{showMarker:i,showLine:n,showFill:a,showGradientLine:o,showGradientFill:s,anyLine:n||o,anyFill:a||s}}function g(t,e,r){return t&&a.isArrayOrTypedArray(t)?e:t>r?r:t}t.exports=function(t,e,r){var y=e._fullLayout;r||(r=y.legend);var m=\"constant\"===r.itemsizing,x=r.itemwidth,b=(x+2*p.itemGap)/2,_=o(b,0),w=function(t,e,r,n){var i;if(t+1)i=t;else{if(!(e&&e.width>0))return 0;i=e.width}return m?n:Math.min(i,r)};function T(t,a,o){var c=t[0].trace,f=c.marker||{},h=f.line||{},p=o?c.visible&&c.type===o:i.traceIs(c,\"bar\"),d=n.select(a).select(\"g.legendpoints\").selectAll(\"path.legend\"+o).data(p?[t]:[]);d.enter().append(\"path\").classed(\"legend\"+o,!0).attr(\"d\",\"M6,6H-6V-6H6Z\").attr(\"transform\",_),d.exit().remove(),d.each((function(t){var i=n.select(this),a=t[0],o=w(a.mlw,f.line,5,2);i.style(\"stroke-width\",o+\"px\");var p=a.mcc;if(!r._inHover&&\"mc\"in a){var d=u(f),v=d.mid;void 0===v&&(v=(d.max+d.min)/2),p=s.tryColorscale(f,\"\")(v)}var y=p||a.mc||f.color,m=f.pattern,x=m&&s.getPatternAttr(m.shape,0,\"\");if(x){var b=s.getPatternAttr(m.bgcolor,0,null),_=s.getPatternAttr(m.fgcolor,0,null),T=m.fgopacity,k=g(m.size,8,10),A=g(m.solidity,.5,1),M=\"legend-\"+c.uid;i.call(s.pattern,\"legend\",e,M,x,k,A,p,m.fillmode,b,_,T)}else i.call(l.fill,y);o&&l.stroke(i,a.mlc||h.color)}))}function k(t,e,r){var 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hover\")},attr:\"hovermode\",val:\"closest\",icon:o.tooltip_basic,gravity:\"ne\",click:y},c.resetViewSankey={name:\"resetSankeyGroup\",title:function(t){return u(t,\"Reset view\")},icon:o.home,click:function(t){for(var e={\"node.groups\":[],\"node.x\":[],\"node.y\":[]},r=0;r<t._fullData.length;r++){var i=t._fullData[r]._viewInitial;e[\"node.groups\"].push(i.node.groups.slice()),e[\"node.x\"].push(i.node.x.slice()),e[\"node.y\"].push(i.node.y.slice())}n.call(\"restyle\",t,e)}},c.toggleHover={name:\"toggleHover\",title:function(t){return u(t,\"Toggle show closest data on hover\")},attr:\"hovermode\",val:null,toggle:!0,icon:o.tooltip_basic,gravity:\"ne\",click:function(t,e){var r=d(t,e);r.hovermode=g(t),n.call(\"_guiRelayout\",t,r)}},c.resetViews={name:\"resetViews\",title:function(t){return u(t,\"Reset views\")},icon:o.home,click:function(t,e){var r=e.currentTarget;r.setAttribute(\"data-attr\",\"zoom\"),r.setAttribute(\"data-val\",\"reset\"),f(t,e),r.setAttribute(\"data-attr\",\"resetLastSave\"),p(t,e),x(t,\"geo\"),x(t,\"mapbox\")}},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}},93348:function(t,e,r){\"use strict\";var n=r(26023),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}},35750:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(44467),o=r(42068);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\")}},64168:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"modebar\",layoutAttributes:r(42068),supplyLayoutDefaults:r(35750),manage:r(14192)}},14192:function(t,e,r){\"use strict\";var n=r(41675),i=r(34098),a=r(73972),o=r(23469).isUnifiedHover,s=r(37676),l=r(26023),u=r(93348).DRAW_MODES,c=r(71828).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=[],D=[];(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?D=[\"zoom3d\",\"pan3d\",\"orbitRotation\",\"tableRotation\"]:(v||b)&&!M||_?D=[\"zoom2d\",\"pan2d\"]:w||y?D=[\"pan2d\"]:T&&(D=[\"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)&&D.push(\"select2d\",\"lasso2d\");var z=[],R=function(t){-1===z.indexOf(t)&&-1!==O.indexOf(t)&&z.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\"))&&D.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(D),L(P.concat(I)),L(z),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)}},37676:function(t,e,r){\"use strict\";var n=r(39898),i=r(92770),a=r(71828),o=r(24255),s=r(11506).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 \":\"\";a.deleteRelatedStyleRule(i),a.addRelatedStyleRule(i,s+\"#\"+i+\" .modebar-group\",\"background-color: \"+o.bgcolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn .icon path\",\"fill: \"+o.color),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn:hover .icon path\",\"fill: \"+o.activecolor),a.addRelatedStyleRule(i,\"#\"+i+\" .modebar-btn.active .icon path\",\"fill: \"+o.activecolor);var l=!this.hasButtons(e),u=this.hasLogo!==r.displaylogo,c=this.locale!==r.locale;if(this.locale=r.locale,(l||u||c)&&(this.removeAllButtons(),this.updateButtons(e),r.watermark||r.displaylogo)){var f=this.getLogo();r.watermark&&(f.className=f.className+\" watermark\"),\"v\"===n.modebar.orientation?this.element.insertBefore(f,this.element.childNodes[0]):this.element.appendChild(f),this.hasLogo=!0}this.updateActiveButton()},c.updateButtons=function(t){var e=this;this.buttons=t,this.buttonElements=[],this.buttonsNames=[],this.buttons.forEach((function(t){var r=e.createGroup();t.forEach((function(t){var n=t.name;if(!n)throw new Error(\"must provide button 'name' in button config\");if(-1!==e.buttonsNames.indexOf(n))throw new Error(\"button name '\"+n+\"' is taken\");e.buttonsNames.push(n);var i=e.createButton(t);e.buttonElements.push(i),r.appendChild(i)})),e.element.appendChild(r)}))},c.createGroup=function(){var t=document.createElement(\"div\");return t.className=\"modebar-group\",t},c.createButton=function(t){var e=this,r=document.createElement(\"a\");r.setAttribute(\"rel\",\"tooltip\"),r.className=\"modebar-btn\";var i=t.title;void 0===i?i=t.name:\"function\"==typeof i&&(i=i(this.graphInfo)),(i||0===i)&&r.setAttribute(\"data-title\",i),void 0!==t.attr&&r.setAttribute(\"data-attr\",t.attr);var a=t.val;if(void 0!==a&&(\"function\"==typeof a&&(a=a(this.graphInfo)),r.setAttribute(\"data-val\",a)),\"function\"!=typeof t.click)throw new Error(\"must provide button 'click' function in button config\");r.addEventListener(\"click\",(function(r){t.click(e.graphInfo,r),e.updateActiveButton(r.currentTarget)})),r.setAttribute(\"data-toggle\",t.toggle||!1),t.toggle&&n.select(r).classed(\"active\",!0);var s=t.icon;return\"function\"==typeof s?r.appendChild(s()):r.appendChild(this.createIcon(s||o.question)),r.setAttribute(\"data-gravity\",t.gravity||\"n\"),r},c.createIcon=function(t){var e,r=i(t.height)?Number(t.height):t.ascent-t.descent,n=\"http://www.w3.org/2000/svg\";if(t.path){(e=document.createElementNS(n,\"svg\")).setAttribute(\"viewBox\",[0,0,t.width,r].join(\" \")),e.setAttribute(\"class\",\"icon\");var a=document.createElementNS(n,\"path\");a.setAttribute(\"d\",t.path),t.transform?a.setAttribute(\"transform\",t.transform):void 0!==t.ascent&&a.setAttribute(\"transform\",\"matrix(1 0 0 -1 0 \"+t.ascent+\")\"),e.appendChild(a)}return 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 with Plotly.js\")+\" (v\"+s+\")\"),e.className=\"modebar-btn plotlyjsicon modebar-btn--logo\",e.appendChild(this.createIcon(o.newplotlylogo)),t.appendChild(e),t},c.removeAllButtons=function(){for(;this.element.firstChild;)this.element.removeChild(this.element.firstChild);this.hasLogo=!1},c.destroy=function(){a.removeElement(this.container.querySelector(\".modebar\")),a.deleteRelatedStyleRule(this._uid)},t.exports=function(t,e){var r=t._fullLayout,i=new u({graphInfo:t,container:r._modebardiv.node(),buttons:e});return r._privateplot&&n.select(i.element).append(\"span\").classed(\"badge-private float--left\",!0).text(\"PRIVATE\"),i}},37113:function(t,e,r){\"use strict\";var n=r(41940),i=r(22399),a=(0,r(44467).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\"}},89573:function(t){\"use strict\";t.exports={yPad:.02,minButtonWidth:30,rx:3,ry:3,lightAmount:25,darkAmount:10}},28674:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(44467),o=r(85501),s=r(37113),l=r(89573);function u(t,e,r,i){var a=i.calendar;function o(r,i){return n.coerce(t,e,s.buttons,r,i)}if(o(\"visible\")){var l=o(\"step\");\"all\"!==l&&(!a||\"gregorian\"===a||\"month\"!==l&&\"year\"!==l?o(\"stepmode\"):e.stepmode=\"backward\",o(\"count\")),o(\"label\")}}t.exports=function(t,e,r,c,f){var h=t.rangeselector||{},p=a.newContainer(e,\"rangeselector\");function d(t,e){return n.coerce(h,p,s,t,e)}if(d(\"visible\",o(h,p,{name:\"buttons\",handleItemDefaults:u,calendar:f}).length>0)){var v=function(t,e,r){for(var n=r.filter((function(r){return e[r].anchor===t._id})),i=0,a=0;a<n.length;a++){var o=e[n[a]].domain;o&&(i=Math.max(o[1],i))}return[t.domain[0],i+l.yPad]}(e,r,c);d(\"x\",v[0]),d(\"y\",v[1]),n.noneOrAll(t,e,[\"x\",\"y\"]),d(\"xanchor\"),d(\"yanchor\"),n.coerceFont(d,\"font\",r.font);var g=d(\"bgcolor\");d(\"activecolor\",i.contrast(g,l.lightAmount,l.darkAmount)),d(\"bordercolor\"),d(\"borderwidth\")}}},21598:function(t,e,r){\"use strict\";var n=r(39898),i=r(73972),a=r(74875),o=r(7901),s=r(91424),l=r(71828),u=l.strTranslate,c=r(63893),f=r(41675),h=r(18783),p=h.LINE_SPACING,d=h.FROM_TL,v=h.FROM_BR,g=r(89573),y=r(70565);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 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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)}))}},70565:function(t,e,r){\"use strict\";var n=r(81041),i=r(71828).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}},97218:function(t,e,r){\"use strict\";t.exports={moduleType:\"component\",name:\"rangeselector\",schema:{subplots:{xaxis:{rangeselector:r(37113)}}},layoutAttributes:r(37113),handleDefaults:r(28674),draw:r(21598)}},75148:function(t,e,r){\"use 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n=r(39898),i=r(73972),a=r(74875),o=r(71828),s=o.strTranslate,l=r(91424),u=r(7901),c=r(92998),f=r(93612),h=r(41675),p=r(28569),d=r(6964),v=r(73251);function g(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 y(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 m(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+\" 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i=o.ensureSingle(t,\"g\",v.grabberMinClassName),a=o.ensureSingle(t,\"g\",v.grabberMaxClassName),s={x:0,width:v.handleWidth,rx:v.handleRadius,fill:u.background,stroke:u.defaultLine,\"stroke-width\":v.handleStrokeWidth,\"shape-rendering\":\"crispEdges\"},l={y:Math.round(n._height/4),height:Math.round(n._height/2)};o.ensureSingle(i,\"rect\",v.handleMinClassName,(function(t){t.attr(s)})).attr(l),o.ensureSingle(a,\"rect\",v.handleMaxClassName,(function(t){t.attr(s)})).attr(l);var c={width:v.grabAreaWidth,x:0,y:0,fill:v.grabAreaFill,cursor:e._context.staticPlot?void 0:v.grabAreaCursor};o.ensureSingle(i,\"rect\",v.grabAreaMinClassName,(function(t){t.attr(c)})).attr(\"height\",n._height),o.ensureSingle(a,\"rect\",v.grabAreaMaxClassName,(function(t){t.attr(c)})).attr(\"height\",n._height)}t.exports=function(t){for(var e=t._fullLayout,r=e._rangeSliderData,a=0;a<r.length;a++){var l=r[a][v.name];l._clipId=l._id+\"-\"+e._uid}var 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d=n._height-c(n.d2pOppAxis(i._rl[1])),g=n._height-c(n.d2pOppAxis(i._rl[0]));t.select(\"rect.\"+v.maskMinOppAxisClassName).attr(\"x\",h).attr(\"height\",d).attr(\"width\",p-h),t.select(\"rect.\"+v.maskMaxOppAxisClassName).attr(\"x\",h).attr(\"y\",g).attr(\"height\",n._height-g).attr(\"width\",p-h),t.select(\"rect.\"+v.slideBoxClassName).attr(\"y\",d).attr(\"height\",g-d)}var y=.5,m=Math.round(f(h-l))-y,x=Math.round(f(p-l))+y;t.select(\"g.\"+v.grabberMinClassName).attr(\"transform\",s(m,y)),t.select(\"g.\"+v.grabberMaxClassName).attr(\"transform\",s(x,y))}(a,0,r,l,u,f),\"bottom\"===r.side&&c.draw(t,r._id+\"title\",{propContainer:r,propName:r._name+\".title\",placeholder:e._dfltTitle.x,attributes:{x:r._offset+r._length/2,y:E+l._height+l._offsetShift+10+1.5*r.title.font.size,\"text-anchor\":\"middle\"}})})))}},549:function(t,e,r){\"use strict\";var n=r(41675),i=r(63893),a=r(73251),o=r(18783).LINE_SPACING,s=a.name;function l(t){var e=t&&t[s];return 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n=r(71828),i=r(75148),a=r(47850),o=r(549);t.exports={moduleType:\"component\",name:\"rangeslider\",schema:{subplots:{xaxis:{rangeslider:n.extendFlat({},i,{yaxis:a})}}},layoutAttributes:r(75148),handleDefaults:r(26377),calcAutorange:r(88443),draw:r(72413),isVisible:o.isVisible,makeData:o.makeData,autoMarginOpts:o.autoMarginOpts}},47850:function(t){\"use strict\";t.exports={_isSubplotObj:!0,rangemode:{valType:\"enumerated\",values:[\"auto\",\"fixed\",\"match\"],dflt:\"match\",editType:\"calc\"},range:{valType:\"info_array\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},editType:\"calc\"}},8389:function(t,e,r){\"use strict\";var n=r(50215),i=r(82196).line,a=r(79952).P,o=r(1426).extendFlat,s=r(30962).overrideAll,l=r(44467).templatedArray;r(24695),t.exports=s(l(\"selection\",{type:{valType:\"enumerated\",values:[\"rect\",\"path\"]},xref:o({},n.xref,{}),yref:o({},n.yref,{}),x0:{valType:\"any\"},x1:{valType:\"any\"},y0:{valType:\"any\"},y1:{valType:\"any\"},path:{valType:\"string\",editType:\"arraydraw\"},opacity:{valType:\"number\",min:0,max:1,dflt:.7,editType:\"arraydraw\"},line:{color:i.color,width:o({},i.width,{min:1,dflt:1}),dash:o({},a,{dflt:\"dot\"})}}),\"arraydraw\",\"from-root\")},34122:function(t){\"use strict\";t.exports={BENDPX:1.5,MINSELECT:12,SELECTDELAY:100,SELECTID:\"-select\"}},59402:function(t,e,r){\"use strict\";var n=r(71828),i=r(89298),a=r(85501),o=r(8389),s=r(30477);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))}}},32485:function(t,e,r){\"use strict\";var n=r(60165).readPaths,i=r(42359),a=r(51873).clearOutlineControllers,o=r(7901),s=r(91424),l=r(44467).arrayEditor,u=r(30477),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)}}}},53777:function(t,e,r){\"use strict\";var n=r(79952).P,i=r(1426).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\"}}},90849:function(t){\"use strict\";t.exports=function(t,e,r){r(\"newselection.mode\"),r(\"newselection.line.width\")&&(r(\"newselection.line.color\"),r(\"newselection.line.dash\")),r(\"activeselection.fillcolor\"),r(\"activeselection.opacity\")}},35855:function(t,e,r){\"use strict\";var n=r(64505).selectMode,i=r(51873).clearOutline,a=r(60165),o=a.readPaths,s=a.writePaths,l=a.fixDatesForPaths;t.exports=function(t,e){if(t.length){var r=t[0][0];if(r){var a=r.getAttribute(\"d\"),u=e.gd,c=u._fullLayout.newselection,f=e.plotinfo,h=f.xaxis,p=f.yaxis,d=e.isActiveSelection,v=e.dragmode,g=(u.layout||{}).selections||[];if(!n(v)&&void 0!==d){var y=u._fullLayout._activeSelectionIndex;if(y<g.length)switch(u._fullLayout.selections[y].type){case\"rect\":v=\"select\";break;case\"path\":v=\"lasso\"}}var 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():{}}}}},75549:function(t,e,r){\"use strict\";var n=r(71828).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)}}},47322:function(t,e,r){\"use strict\";var n=r(32485),i=r(3937);t.exports={moduleType:\"component\",name:\"selections\",layoutAttributes:r(8389),supplyLayoutDefaults:r(59402),supplyDrawNewSelectionDefaults:r(90849),includeBasePlot:r(76325)(\"selections\"),draw:n.draw,drawOne:n.drawOne,reselect:i.reselect,prepSelect:i.prepSelect,clearOutline:i.clearOutline,clearSelectionsCache:i.clearSelectionsCache,selectOnClick:i.selectOnClick}},3937:function(t,e,r){\"use strict\";var n=r(52142),i=r(38258),a=r(73972),o=r(91424).dashStyle,s=r(7901),l=r(30211),u=r(23469).makeEventData,c=r(64505),f=c.freeMode,h=c.rectMode,p=c.drawMode,d=c.openMode,v=c.selectMode,g=r(30477),y=r(21459),m=r(42359),x=r(51873).clearOutline,b=r(60165),_=b.handleEllipse,w=b.readPaths,T=r(90551),k=r(35855),A=r(32485).activateLastSelection,M=r(71828),S=M.sorterAsc,E=r(61082),L=r(79990),C=r(41675).getFromId,P=r(33306),O=r(61549).redrawReglTraces,I=r(34122),D=I.MINSELECT,z=E.filter,R=E.tester,F=r(75549),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)){Z(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 0!==i.binNumber&&(a=i.binNumber,o=i.pointNumbers);break}return{pointNumber:a,pointNumbers:o,searchInfo:r}}(y,s=X(e,r,n,i));if(_.pointNumbers.length>0?function(t,e){var r,n,i,a=[];for(i=0;i<t.length;i++)(r=t[i]).cd[0].trace.selectedpoints&&r.cd[0].trace.selectedpoints.length>0&&a.push(r);if(1===a.length&&a[0]===e.searchInfo&&(n=e.searchInfo.cd[0].trace).selectedpoints.length===e.pointNumbers.length){for(i=0;i<e.pointNumbers.length;i++)if(n.selectedpoints.indexOf(e.pointNumbers[i])<0)return!1;return!0}return!1}(s,_):function(t){var e,r,n=0;for(r=0;r<t.length;r++)if((e=t[r].cd[0].trace).selectedpoints){if(e.selectedpoints.length>1)return!1;if((n+=e.selectedpoints.length)>1)return!1}return 1===n}(s)&&(h=K(_))){for(o&&o.remove(),g=0;g<s.length;g++)(l=s[g])._module.selectPoints(l,!1);$(e,s),Y(a),x&&ht(e)}else{for(p=t.shiftKey&&(void 0!==h?h:K(_)),u=function(t,e,r){return{pointNumber:t,searchInfo:e,subtract:!!r}}(_.pointNumber,_.searchInfo,p),c=G(a.selectionDefs.concat([u])),g=0;g<s.length;g++)if(f=tt(s[g]._module.selectPoints(s[g],c),s[g]),b.length)for(var w=0;w<f.length;w++)b.push(f[w]);else b=f;if($(e,s,v={points:b}),u&&a&&a.selectionDefs.push(u),o){var T=a.mergedPolygons,k=d(a.dragmode);m(et(T,k),o,a)}x&&ft(e,v)}}}function H(t){return\"pointNumber\"in t&&\"searchInfo\"in t}function q(t){return{xmin:0,xmax:0,ymin:0,ymax:0,pts:[],contains:function(e,r,n,i){var a=t.searchInfo.cd[0].trace._expandedIndex;return i.cd[0].trace._expandedIndex===a&&n===t.pointNumber},isRect:!1,degenerate:!1,subtract:!!t.subtract}}function G(t){if(t.length){for(var e=[],r=H(t[0])?0:t[0][0][0],n=r,i=H(t[0])?0:t[0][0][1],a=i,o=0;o<t.length;o++)if(H(t[o]))e.push(q(t[o]));else{var s=R(t[o]);s.subtract=!!t[o].subtract,e.push(s),r=Math.min(r,s.xmin),n=Math.max(n,s.xmax),i=Math.min(i,s.ymin),a=Math.max(a,s.ymax)}return{xmin:r,xmax:n,ymin:i,ymax:a,pts:[],contains:function(t,r,n,i){for(var a=!1,o=0;o<e.length;o++)e[o].contains(t,r,n,i)&&(a=!e[o].subtract);return a},isRect:!1,degenerate:!1}}}function Z(t,e,r){var n=e._fullLayout,i=r.plotinfo,a=r.dragmode,o=n._lastSelectedSubplot&&n._lastSelectedSubplot===i.id,s=(t.shiftKey||t.altKey)&&!(p(a)&&d(a));o&&s&&i.selection&&i.selection.selectionDefs&&!r.selectionDefs?(r.selectionDefs=i.selection.selectionDefs,r.mergedPolygons=i.selection.mergedPolygons):s&&i.selection||Y(r),o||(x(e),n._lastSelectedSubplot=i.id)}function Y(t,e){var r=t.dragmode,n=t.plotinfo,i=t.gd;(function(t){return t._fullLayout._activeShapeIndex>=0})(i)&&i._fullLayout._deactivateShape(i),function(t){return t._fullLayout._activeSelectionIndex>=0}(i)&&i._fullLayout._deactivateSelection(i);var o=i._fullLayout._zoomlayer,s=p(r),l=v(r);if(s||l){var 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 W(t){return t._id}function X(t,e,r,n){if(!t.calcdata)return[];var i,a,o,s=[],l=e.map(W),u=r.map(W);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=J(a._module,i,e[0],r[0]);c.scene=t._fullLayout._splomScenes[a.uid],s.push(c)}}else if(\"sankey\"===a.type){var f=J(a._module,i,e[0],r[0]);s.push(f)}else{if(-1===l.indexOf(a.xaxis))continue;if(-1===u.indexOf(a.yaxis))continue;s.push(J(a._module,i,C(t,a.xaxis),C(t,a.yaxis)))}else s.push(J(a._module,i,e[0],r[0]));return s}function J(t,e,r,n){return{_module:t,cd:e,xaxis:r,yaxis:n}}function K(t){var e=t.searchInfo.cd[0].trace,r=t.pointNumber,n=t.pointNumbers,i=n.length>0?n[0]:r;return!!e.selectedpoints&&e.selectedpoints.indexOf(i)>-1}function $(t,e,r){var n,i;for(n=0;n<e.length;n++){var o=e[n].cd[0].trace._fullInput,s=t._fullLayout._tracePreGUI[o.uid]||{};void 0===s.selectedpoints&&(s.selectedpoints=o._input.selectedpoints||null)}if(r){var l=r.points||[];for(n=0;n<e.length;n++)(i=e[n].cd[0].trace)._input.selectedpoints=i._fullInput.selectedpoints=[],i._fullInput!==i&&(i.selectedpoints=[]);for(var u=0;u<l.length;u++){var c=l[u],f=c.data,h=c.fullData,p=c.pointIndex,d=c.pointIndices;d?([].push.apply(f.selectedpoints,d),i._fullInput!==i&&[].push.apply(h.selectedpoints,d)):(f.selectedpoints.push(p),i._fullInput!==i&&h.selectedpoints.push(p))}}else for(n=0;n<e.length;n++)delete(i=e[n].cd[0].trace).selectedpoints,delete i._input.selectedpoints,i._fullInput!==i&&delete i._fullInput.selectedpoints;!function(t,e){for(var r=!1,n=0;n<e.length;n++){var i=e[n],o=i.cd;a.traceIs(o[0].trace,\"regl\")&&(r=!0);var s=i._module,l=s.styleOnSelect||s.style;l&&(l(t,o,o[0].node3),o[0].nodeRangePlot3&&l(t,o,o[0].nodeRangePlot3))}r&&(P(t),O(t))}(t,e)}function Q(t,e,r){for(var i=(r?n.difference:n.union)({regions:t},{regions:[e]}).regions.reverse(),a=0;a<i.length;a++){var o=i[a];o.subtract=st(o,i.slice(0,a))}return i}function tt(t,e){if(Array.isArray(t))for(var r=e.cd,n=e.cd[0].trace,i=0;i<t.length;i++)t[i]=u(t[i],n,r);return t}function et(t,e){for(var r=[],n=0;n<t.length;n++){r[n]=[];for(var 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s,l,u,c,f=i.label.textposition,h=i.label.textangle,p=i.label.padding,d=i.type,v=Math.PI/180*a,g=Math.sin(v),y=Math.cos(v),m=i.label.xanchor,b=i.label.yanchor;if(\"line\"===d){\"start\"===f?(s=t,l=e):\"end\"===f?(s=r,l=n):(s=(t+r)/2,l=(e+n)/2),\"auto\"===m&&(m=\"start\"===f?\"auto\"===h?r>t?\"left\":r<t?\"right\":\"center\":r>t?\"right\":r<t?\"left\":\"center\":\"end\"===f?\"auto\"===h?r>t?\"right\":r<t?\"left\":\"center\":r>t?\"left\":r<t?\"right\":\"center\":\"center\");var _={bottom:-1,middle:0,top:1};if(\"auto\"===h){var w=_[b];u=-p*g*w,c=p*y*w}else u=p*{left:1,center:0,right:-1}[m],c=p*_[b];s+=u,l+=c}else u=p+3,-1!==f.indexOf(\"right\")?(s=Math.max(t,r)-u,\"auto\"===m&&(m=\"right\")):-1!==f.indexOf(\"left\")?(s=Math.min(t,r)+u,\"auto\"===m&&(m=\"left\")):(s=(t+r)/2,\"auto\"===m&&(m=\"center\")),l=-1!==f.indexOf(\"top\")?Math.min(e,n):-1!==f.indexOf(\"bottom\")?Math.max(e,n):(e+n)/2,c=p,\"bottom\"===b?l-=c:\"top\"===b&&(l+=c);var T=x[b],k=i.label.font.size,A=o.height;return{textx:s+(A*T-k)*g,texty:l+-(A*T-k)*y,xanchor:m}}(i,l,a,u,r,I,f.bBox(d.node())),z=D.textx,R=D.texty,F=D.xanchor;d.attr({\"text-anchor\":{left:\"start\",center:\"middle\",right:\"end\"}[F],y:R,x:z,transform:\"rotate(\"+I+\",\"+z+\",\"+R+\")\"}).call(v.positionText,z,R)}}function M(t,e,r){return t.replace(g.segmentRE,(function(t){var n=0,i=t.charAt(0),a=g.paramIsX[i],o=g.paramIsY[i],s=g.numParams[i];return i+t.substr(1).replace(g.paramRE,(function(t){return n>=s||(a[n]?t=e(t):o[n]&&(t=r(t)),n++),t}))}))}function S(t){w(t)&&t._fullLayout._activeShapeIndex>=0&&(u(t),delete t._fullLayout._activeShapeIndex,b(t))}t.exports={draw:b,drawOne:T,eraseActiveShape:function(t){if(w(t)){u(t);var e=t._fullLayout._activeShapeIndex,r=(t.layout||{}).shapes||[];if(e<r.length){for(var n=[],a=0;a<r.length;a++)a!==e&&n.push(r[a]);delete t._fullLayout._activeShapeIndex,i.call(\"_guiRelayout\",t,{shapes:n})}}}}},29241:function(t,e,r){\"use strict\";var n=r(41940),i=r(79952).P,a=r(1426).extendFlat;t.exports={newshape:{line:{color:{valType:\"color\",editType:\"none\"},width:{valType:\"number\",min:0,dflt:4,editType:\"none\"},dash:a({},i,{dflt:\"solid\",editType:\"none\"}),editType:\"none\"},fillcolor:{valType:\"color\",dflt:\"rgba(0,0,0,0)\",editType:\"none\"},fillrule:{valType:\"enumerated\",values:[\"evenodd\",\"nonzero\"],dflt:\"evenodd\",editType:\"none\"},opacity:{valType:\"number\",min:0,max:1,dflt:1,editType:\"none\"},layer:{valType:\"enumerated\",values:[\"below\",\"above\"],dflt:\"above\",editType:\"none\"},drawdirection:{valType:\"enumerated\",values:[\"ortho\",\"horizontal\",\"vertical\",\"diagonal\"],dflt:\"diagonal\",editType:\"none\"},label:{text:{valType:\"string\",dflt:\"\",editType:\"none\"},font:n({editType:\"none\"}),textposition:{valType:\"enumerated\",values:[\"top left\",\"top center\",\"top right\",\"middle left\",\"middle center\",\"middle right\",\"bottom left\",\"bottom center\",\"bottom 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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 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n=r(34031);t.exports={moduleType:\"component\",name:\"shapes\",layoutAttributes:r(89827),supplyLayoutDefaults:r(84726),supplyDrawNewShapeDefaults:r(45547),includeBasePlot:r(76325)(\"shapes\"),calcAutorange:r(5627),draw:n.draw,drawOne:n.drawOne}},75067:function(t,e,r){\"use strict\";var n=r(41940),i=r(35025),a=r(1426).extendDeepAll,o=r(30962).overrideAll,s=r(85594),l=r(44467).templatedArray,u=r(98292),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\")},98292: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}},12343: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})}},44504:function(t,e,r){\"use strict\";var n=r(39898),i=r(74875),a=r(7901),o=r(91424),s=r(71828),l=s.strTranslate,u=r(63893),c=r(44467).arrayEditor,f=r(98292),h=r(18783),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 l=r.select(\".\"+f.gripRectClass);n.event.stopPropagation(),n.event.preventDefault(),l.call(a.fill,t.activebgcolor);var u=L(t,n.mouse(i)[0]);function c(){var t=s(),a=L(t,n.mouse(i)[0]);T(e,r,t,a,!1)}function h(){var t=s();t._dragging=!1,l.call(a.fill,t.bgcolor),o.on(\"mouseup\",null),o.on(\"mousemove\",null),o.on(\"touchend\",null),o.on(\"touchmove\",null),e.emit(\"plotly_sliderend\",{slider:t,step:t.steps[t.active]})}T(e,r,t,u,!0),t._dragging=!0,o.on(\"mousemove\",c),o.on(\"touchmove\",c),o.on(\"mouseup\",h),o.on(\"touchend\",h)}}function M(t,e){var r=t.selectAll(\"rect.\"+f.tickRectClass).data(e._visibleSteps),i=e._dims;r.enter().append(\"rect\").classed(f.tickRectClass,!0),r.exit().remove(),r.attr({width:e.tickwidth+\"px\",\"shape-rendering\":\"crispEdges\"}),r.each((function(t,r){var s=r%i.labelStride==0,l=n.select(this);l.attr({height:s?e.ticklen:e.minorticklen}).call(a.fill,e.tickcolor),o.setTranslate(l,E(e,r/(e._stepCount-1))-.5*e.tickwidth,(s?f.tickOffset:f.minorTickOffset)+i.currentValueTotalHeight)}))}function S(t,e,r){for(var n=t.select(\"rect.\"+f.gripRectClass),i=0,a=0;a<e._stepCount;a++)if(e._visibleSteps[a]._index===e.active){i=a;break}var o=E(e,i/(e._stepCount-1));if(!e._invokingCommand){var s=n;r&&e.transition.duration>0&&(s=s.transition().duration(e.transition.duration).ease(e.transition.easing)),s.attr(\"transform\",l(o-.5*f.gripWidth,e._dims.currentValueTotalHeight))}}function E(t,e){var r=t._dims;return r.inputAreaStart+f.stepInset+(r.inputAreaLength-2*f.stepInset)*Math.min(1,Math.max(0,e))}function L(t,e){var r=t._dims;return Math.min(1,Math.max(0,(e-f.stepInset-r.inputAreaStart)/(r.inputAreaLength-2*f.stepInset-2*r.inputAreaStart)))}function C(t,e,r){var n=r._dims,i=s.ensureSingle(t,\"rect\",f.railTouchRectClass,(function(n){n.call(A,e,t,r).style(\"pointer-events\",\"all\")}));i.attr({width:n.inputAreaLength,height:Math.max(n.inputAreaWidth,f.tickOffset+r.ticklen+n.labelHeight)}).call(a.fill,r.bgcolor).attr(\"opacity\",0),o.setTranslate(i,0,n.currentValueTotalHeight)}function P(t,e){var r=e._dims,n=r.inputAreaLength-2*f.railInset,i=s.ensureSingle(t,\"rect\",f.railRectClass);i.attr({width:n,height:f.railWidth,rx:f.railRadius,ry:f.railRadius,\"shape-rendering\":\"crispEdges\"}).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\"),o.setTranslate(i,f.railInset,.5*(r.inputAreaWidth-f.railWidth)+r.currentValueTotalHeight)}t.exports=function(t){var e=t._context.staticPlot,r=t._fullLayout,a=function(t,e){for(var r=t[f.name],n=[],i=0;i<r.length;i++){var a=r[i];a.visible&&(a._gd=e,n.push(a))}return n}(r,t),s=r._infolayer.selectAll(\"g.\"+f.containerClassName).data(a.length>0?[0]:[]);function l(e){e._commandObserver&&(e._commandObserver.remove(),delete e._commandObserver),i.autoMargin(t,g(e))}if(s.enter().append(\"g\").classed(f.containerClassName,!0).style(\"cursor\",e?null:\"ew-resize\"),s.exit().each((function(){n.select(this).selectAll(\"g.\"+f.groupClassName).each(l)})).remove(),0!==a.length){var u=s.selectAll(\"g.\"+f.groupClassName).data(a,y);u.enter().append(\"g\").classed(f.groupClassName,!0),u.exit().each(l).remove();for(var c=0;c<a.length;c++){var h=a[c];m(t,h)}u.each((function(e){var r=n.select(this);!function(t){var e=t._dims;e.labelSteps=[];for(var r=t._stepCount,n=0;n<r;n+=e.labelStride)e.labelSteps.push({fraction:n/(r-1),step:t._visibleSteps[n]})}(e),i.manageCommandObserver(t,e,e._visibleSteps,(function(e){var n=r.data()[0];n.active!==e.index&&(n._dragging||k(t,r,n,e.index,!1,!0))})),function(t,e,r){(r.steps[r.active]||{}).visible||(r.active=r._visibleSteps[0]._index),e.call(x,r).call(P,r).call(w,r).call(M,r).call(C,t,r).call(b,t,r);var n=r._dims;o.setTranslate(e,n.lx+r.pad.l,n.ly+r.pad.t),e.call(S,r,!1),e.call(x,r)}(t,n.select(this),e)}))}}},23243:function(t,e,r){\"use strict\";var n=r(98292);t.exports={moduleType:\"component\",name:n.name,layoutAttributes:r(75067),supplyLayoutDefaults:r(12343),draw:r(44504)}},92998:function(t,e,r){\"use strict\";var n=r(39898),i=r(92770),a=r(74875),o=r(73972),s=r(71828),l=s.strTranslate,u=r(91424),c=r(7901),f=r(63893),h=r(37822),p=r(18783).OPPOSITE_SIDE,d=/ [XY][0-9]* /;t.exports={draw:function(t,e,r){var v,g=r.propContainer,y=r.propName,m=r.placeholder,x=r.traceIndex,b=r.avoid||{},_=r.attributes,w=r.transform,T=r.containerGroup,k=t._fullLayout,A=1,M=!1,S=g.title,E=(S&&S.text?S.text:\"\").trim(),L=S&&S.font?S.font:{},C=L.family,P=L.size,O=L.color;\"title.text\"===y?v=\"titleText\":-1!==y.indexOf(\"axis\")?v=\"axisTitleText\":y.indexOf(!0)&&(v=\"colorbarTitleText\");var I=t._context.edits[v];\"\"===E?A=0:E.replace(d,\" % \")===m.replace(d,\" % 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n=r(41940),i=r(22399),a=r(1426).extendFlat,o=r(30962).overrideAll,s=r(35025),l=r(44467).templatedArray,u=l(\"button\",{visible:{valType:\"boolean\"},method:{valType:\"enumerated\",values:[\"restyle\",\"relayout\",\"animate\",\"update\",\"skip\"],dflt:\"restyle\"},args:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},args2:{valType:\"info_array\",freeLength:!0,items:[{valType:\"any\"},{valType:\"any\"},{valType:\"any\"}]},label:{valType:\"string\",dflt:\"\"},execute:{valType:\"boolean\",dflt:!0}});t.exports=o(l(\"updatemenu\",{_arrayAttrRegexps:[/^updatemenus\\[(0|[1-9][0-9]+)\\]\\.buttons/],visible:{valType:\"boolean\"},type:{valType:\"enumerated\",values:[\"dropdown\",\"buttons\"],dflt:\"dropdown\"},direction:{valType:\"enumerated\",values:[\"left\",\"right\",\"up\",\"down\"],dflt:\"down\"},active:{valType:\"integer\",min:-1,dflt:0},showactive:{valType:\"boolean\",dflt:!0},buttons:u,x:{valType:\"number\",min:-2,max:3,dflt:-.05},xanchor:{valType:\"enumerated\",values:[\"auto\",\"left\",\"center\",\"right\"],dflt:\"right\"},y:{valType:\"number\",min:-2,max:3,dflt:1},yanchor:{valType:\"enumerated\",values:[\"auto\",\"top\",\"middle\",\"bottom\"],dflt:\"top\"},pad:a(s({editType:\"arraydraw\"}),{}),font:n({}),bgcolor:{valType:\"color\"},bordercolor:{valType:\"color\",dflt:i.borderLine},borderwidth:{valType:\"number\",min:0,dflt:1,editType:\"arraydraw\"}}),\"arraydraw\",\"from-root\")},75909:function(t){\"use strict\";t.exports={name:\"updatemenus\",containerClassName:\"updatemenu-container\",headerGroupClassName:\"updatemenu-header-group\",headerClassName:\"updatemenu-header\",headerArrowClassName:\"updatemenu-header-arrow\",dropdownButtonGroupClassName:\"updatemenu-dropdown-button-group\",dropdownButtonClassName:\"updatemenu-dropdown-button\",buttonClassName:\"updatemenu-button\",itemRectClassName:\"updatemenu-item-rect\",itemTextClassName:\"updatemenu-item-text\",menuIndexAttrName:\"updatemenu-active-index\",autoMarginIdRoot:\"updatemenu-\",blankHeaderOpts:{label:\"  \"},minWidth:30,minHeight:30,textPadX:24,arrowPadX:16,rx:2,ry:2,textOffsetX:12,textOffsetY:3,arrowOffsetX:4,gapButtonHeader:5,gapButton:2,activeColor:\"#F4FAFF\",hoverColor:\"#F4FAFF\",arrowSymbol:{left:\"◄\",right:\"►\",up:\"▲\",down:\"▼\"}}},64897:function(t,e,r){\"use strict\";var n=r(71828),i=r(85501),a=r(7163),o=r(75909).name,s=a.buttons;function l(t,e,r){function o(r,i){return 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u=n.select(this);u.call(m,o,s,t).call(M,o,b),u.on(\"click\",(function(){n.event.defaultPrevented||(s.execute&&(s.args2&&o.active===l?(v(t,o,0,e,r,a,-1),i.executeAPICommand(t,s.method,s.args2)):(v(t,o,0,e,r,a,l),i.executeAPICommand(t,s.method,s.args))),t.emit(\"plotly_buttonclicked\",{menu:o,button:s,active:o.active}))})),u.on(\"mouseover\",(function(){u.call(w)})),u.on(\"mouseout\",(function(){u.call(T,o),c.call(_,o)}))})),c.call(_,o),x?(k.w=Math.max(y.openWidth,y.headerWidth),k.h=b.y-k.t):(k.w=b.x-k.l,k.h=Math.max(y.openHeight,y.headerHeight)),k.direction=o.direction,a&&(c.size()?function(t,e,r,n,i,a){var o,s,l,u=i.direction,c=\"up\"===u||\"down\"===u,h=i._dims,p=i.active;if(c)for(s=0,l=0;l<p;l++)s+=h.heights[l]+f.gapButton;else for(o=0,l=0;l<p;l++)o+=h.widths[l]+f.gapButton;n.enable(a,o,s),n.hbar&&n.hbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\"),n.vbar&&n.vbar.attr(\"opacity\",\"0\").transition().attr(\"opacity\",\"1\")}(0,0,0,a,o,k):function(t){var e=!!t.hbar,r=!!t.vbar;e&&t.hbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){e=!1,r||t.disable()})),r&&t.vbar.transition().attr(\"opacity\",\"0\").each(\"end\",(function(){r=!1,e||t.disable()}))}(a))}function m(t,e,r,n){t.call(x,e).call(b,e,r,n)}function x(t,e){s.ensureSingle(t,\"rect\",f.itemRectClassName,(function(t){t.attr({rx:f.rx,ry:f.ry,\"shape-rendering\":\"crispEdges\"})})).call(a.stroke,e.bordercolor).call(a.fill,e.bgcolor).style(\"stroke-width\",e.borderwidth+\"px\")}function b(t,e,r,n){var i=s.ensureSingle(t,\"text\",f.itemTextClassName,(function(t){t.attr({\"text-anchor\":\"start\",\"data-notex\":1})})),a=r.label,u=n._fullLayout._meta;u&&(a=s.templateString(a,u)),i.call(o.font,e.font).text(a).call(l.convertToTspans,n)}function _(t,e){var r=e.active;t.each((function(t,i){var o=n.select(this);i===r&&e.showactive&&o.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.activeColor)}))}function w(t){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,f.hoverColor)}function T(t,e){t.select(\"rect.\"+f.itemRectClassName).call(a.fill,e.bgcolor)}function k(t,e){var r=e._dims={width1:0,height1:0,heights:[],widths:[],totalWidth:0,totalHeight:0,openWidth:0,openHeight:0,lx:0,ly:0},a=o.tester.selectAll(\"g.\"+f.dropdownButtonClassName).data(s.filterVisible(e.buttons));a.enter().append(\"g\").classed(f.dropdownButtonClassName,!0);var u=-1!==[\"up\",\"down\"].indexOf(e.direction);a.each((function(i,a){var s=n.select(this);s.call(m,e,i,t);var h=s.select(\".\"+f.itemTextClassName),p=h.node()&&o.bBox(h.node()).width,d=Math.max(p+f.textPadX,f.minWidth),v=e.font.size*c,g=l.lineCount(h),y=Math.max(v*g,f.minHeight)+f.textOffsetY;y=Math.ceil(y),d=Math.ceil(d),r.widths[a]=d,r.heights[a]=y,r.height1=Math.max(r.height1,y),r.width1=Math.max(r.width1,d),u?(r.totalWidth=Math.max(r.totalWidth,d),r.openWidth=r.totalWidth,r.totalHeight+=y+f.gapButton,r.openHeight+=y+f.gapButton):(r.totalWidth+=d+f.gapButton,r.openWidth+=d+f.gapButton,r.totalHeight=Math.max(r.totalHeight,y),r.openHeight=r.totalHeight)})),u?r.totalHeight-=f.gapButton:r.totalWidth-=f.gapButton,r.headerWidth=r.width1+f.arrowPadX,r.headerHeight=r.height1,\"dropdown\"===e.type&&(u?(r.width1+=f.arrowPadX,r.totalHeight=r.height1):r.totalWidth=r.width1,r.totalWidth+=f.arrowPadX),a.remove();var h=r.totalWidth+e.pad.l+e.pad.r,p=r.totalHeight+e.pad.t+e.pad.b,d=t._fullLayout._size;r.lx=d.l+d.w*e.x,r.ly=d.t+d.h*(1-e.y);var 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s(t,e,r){this.gd=t,this.container=e,this.id=r,this.position=null,this.translateX=null,this.translateY=null,this.hbar=null,this.vbar=null,this.bg=this.container.selectAll(\"rect.scrollbox-bg\").data([0]),this.bg.exit().on(\".drag\",null).on(\"wheel\",null).remove(),this.bg.enter().append(\"rect\").classed(\"scrollbox-bg\",!0).style(\"pointer-events\",\"all\").attr({opacity:0,x:0,y:0,width:0,height:0})}s.barWidth=2,s.barLength=20,s.barRadius=2,s.barPad=1,s.barColor=\"#808BA4\",s.prototype.enable=function(t,e,r){var o=this.gd._fullLayout,l=o.width,u=o.height;this.position=t;var c,f,h,p,d=this.position.l,v=this.position.w,g=this.position.t,y=this.position.h,m=this.position.direction,x=\"down\"===m,b=\"left\"===m,_=\"up\"===m,w=v,T=y;x||b||\"right\"===m||_||(this.position.direction=\"down\",x=!0),x||_?(f=(c=d)+w,x?(h=g,T=(p=Math.min(h+T,u))-h):T=(p=g+T)-(h=Math.max(p-T,0))):(p=(h=g)+T,b?w=(f=d+w)-(c=Math.max(f-w,0)):(c=d,w=(f=Math.min(c+w,l))-c)),this._box={l:c,t:h,w:w,h:T};var k=v>w,A=s.barLength+2*s.barPad,M=s.barWidth+2*s.barPad,S=d,E=g+y;E+M>u&&(E=u-M);var L=this.container.selectAll(\"rect.scrollbar-horizontal\").data(k?[0]:[]);L.exit().on(\".drag\",null).remove(),L.enter().append(\"rect\").classed(\"scrollbar-horizontal\",!0).call(i.fill,s.barColor),k?(this.hbar=L.attr({rx:s.barRadius,ry:s.barRadius,x:S,y:E,width:A,height:M}),this._hbarXMin=S+A/2,this._hbarTranslateMax=w-A):(delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax);var C=y>T,P=s.barWidth+2*s.barPad,O=s.barLength+2*s.barPad,I=d+v,D=g;I+P>l&&(I=l-P);var z=this.container.selectAll(\"rect.scrollbar-vertical\").data(C?[0]:[]);z.exit().on(\".drag\",null).remove(),z.enter().append(\"rect\").classed(\"scrollbar-vertical\",!0).call(i.fill,s.barColor),C?(this.vbar=z.attr({rx:s.barRadius,ry:s.barRadius,x:I,y:D,width:P,height:O}),this._vbarYMin=D+O/2,this._vbarTranslateMax=T-O):(delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax);var R=this.id,F=c-.5,B=C?f+P+.5:f+.5,N=h-.5,j=k?p+M+.5:p+.5,U=o._topdefs.selectAll(\"#\"+R).data(k||C?[0]:[]);if(U.exit().remove(),U.enter().append(\"clipPath\").attr(\"id\",R).append(\"rect\"),k||C?(this._clipRect=U.select(\"rect\").attr({x:Math.floor(F),y:Math.floor(N),width:Math.ceil(B)-Math.floor(F),height:Math.ceil(j)-Math.floor(N)}),this.container.call(a.setClipUrl,R,this.gd),this.bg.attr({x:d,y:g,width:v,height:y})):(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),k||C){var V=n.behavior.drag().on(\"dragstart\",(function(){n.event.sourceEvent.preventDefault()})).on(\"drag\",this._onBoxDrag.bind(this));this.container.on(\"wheel\",null).on(\"wheel\",this._onBoxWheel.bind(this)).on(\".drag\",null).call(V);var H=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(H),C&&this.vbar.on(\".drag\",null).call(H)}this.setTranslate(e,r)},s.prototype.disable=function(){(this.hbar||this.vbar)&&(this.bg.attr({width:0,height:0}),this.container.on(\"wheel\",null).on(\".drag\",null).call(a.setClipUrl,null),delete this._clipRect),this.hbar&&(this.hbar.on(\".drag\",null),this.hbar.remove(),delete this.hbar,delete this._hbarXMin,delete this._hbarTranslateMax),this.vbar&&(this.vbar.on(\".drag\",null),this.vbar.remove(),delete this.vbar,delete this._vbarYMin,delete this._vbarTranslateMax)},s.prototype._onBoxDrag=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t-=n.event.dx),this.vbar&&(e-=n.event.dy),this.setTranslate(t,e)},s.prototype._onBoxWheel=function(){var t=this.translateX,e=this.translateY;this.hbar&&(t+=n.event.deltaY),this.vbar&&(e+=n.event.deltaY),this.setTranslate(t,e)},s.prototype._onBarDrag=function(){var t=this.translateX,e=this.translateY;if(this.hbar){var r=t+this._hbarXMin,i=r+this._hbarTranslateMax;t=(o.constrain(n.event.x,r,i)-r)/(i-r)*(this.position.w-this._box.w)}if(this.vbar){var a=e+this._vbarYMin,s=a+this._vbarTranslateMax;e=(o.constrain(n.event.y,a,s)-a)/(s-a)*(this.position.h-this._box.h)}this.setTranslate(t,e)},s.prototype.setTranslate=function(t,e){var r=this.position.w-this._box.w,n=this.position.h-this._box.h;if(t=o.constrain(t||0,0,r),e=o.constrain(e||0,0,n),this.translateX=t,this.translateY=e,this.container.call(a.setTranslate,this._box.l-this.position.l-t,this._box.t-this.position.t-e),this._clipRect&&this._clipRect.attr({x:Math.floor(this.position.l+t-.5),y:Math.floor(this.position.t+e-.5)}),this.hbar){var i=t/r;this.hbar.call(a.setTranslate,t+i*this._hbarTranslateMax,e)}if(this.vbar){var s=e/n;this.vbar.call(a.setTranslate,t,e+s*this._vbarTranslateMax)}}},18783:function(t){\"use strict\";t.exports={FROM_BL:{left:0,center:.5,right:1,bottom:0,middle:.5,top:1},FROM_TL:{left:0,center:.5,right:1,bottom:1,middle:.5,top:0},FROM_BR:{left:1,center:.5,right:0,bottom:0,middle:.5,top:1},LINE_SPACING:1.3,CAP_SHIFT:.7,MID_SHIFT:.35,OPPOSITE_SIDE:{left:\"right\",right:\"left\",top:\"bottom\",bottom:\"top\"}}},24695:function(t){\"use strict\";t.exports={axisRefDescription:function(t,e,r){return[\"If set to a\",t,\"axis id (e.g. *\"+t+\"* or\",\"*\"+t+\"2*), the `\"+t+\"` position refers to a\",t,\"coordinate. 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M=\"\";n.noTicklabelposition&&\"multicategory\"!==A||(M=a.coerce(t,e,{ticklabelposition:{valType:\"enumerated\",dflt:\"outside\",values:\"period\"===x?[\"outside\",\"inside\"]:\"x\"===b?[\"outside\",\"inside\",\"outside left\",\"inside left\",\"outside right\",\"inside right\"]:[\"outside\",\"inside\",\"outside top\",\"inside top\",\"outside bottom\",\"inside bottom\"]}},\"ticklabelposition\")),n.noTicklabeloverflow||r(\"ticklabeloverflow\",-1!==M.indexOf(\"inside\")?\"hide past domain\":\"category\"===A||\"multicategory\"===A?\"allow\":\"hide past div\"),v(e,y);var S=!e.isValidRange(t.range);S&&n.reverseDflt&&(S=\"reversed\"),!r(\"autorange\",S)||\"linear\"!==A&&\"-\"!==A||r(\"rangemode\"),r(\"range\"),e.cleanRange(),p(t,e,r,n),\"category\"===A||n.noHover||r(\"hoverformat\");var E=r(\"color\"),L=E!==l.color.dflt?E:_.color,C=w.label||y._dfltTitle[b];if(h(t,e,r,A,n),!T)return 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F=n.data[R];\"scattergl\"!==F.type&&\"splom\"!==F.type||(F.visible=!1,a.warn(F.type+\" traces do not work on axes with rangebreaks. 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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=D(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(H(i),2!==t||yt||qt(),gt)o.indexOf(\"select\")>-1&&S(r,i,J,K,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 Dt(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),zt(),t.emit(\"plotly_relayouting\",ht),Mt=!0}function zt(){ht={},\"xy\"!==St&&\"x\"!==St||(R(J,Tt.l/tt,Tt.r/tt,ht,rt.xaxes),Vt(\"x\",ht)),\"xy\"!==St&&\"y\"!==St||(R(K,(et-Tt.b)/et,(et-Tt.t)/et,ht,rt.yaxes),Vt(\"y\",ht))}function Rt(){zt(),H(t),Gt(),q(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=J,Pt.yaxes=K,A(e,r,n,Pt,s)):(Pt.clickFn=It,m(a)&&Ot(),ot||(\"zoom\"===s?(Pt.moveFn=Dt,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(),Zt([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(J,e),Vt(\"x\")),at&&(F(K,r),Vt(\"y\")),Zt([n,i,tt,et]),Ht(),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(J,0,e):\"e\"===it?e=p(J,1,-e):it||(e=0),\"n\"===at?r=p(K,1,r):\"s\"===at?r=p(K,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<J.length;c++)J[c].range=J[c]._r.slice(),E(J[c],1-r/et);o=(e=r*tt/et)/2}if(nt.isSubplotConstrained||!at&&1===it.length){for(c=0;c<K.length;c++)K[c].range=K[c]._r.slice(),E(K[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)),Zt([o,s,f,h]),Ht(),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:K,y:J}[t]:nt[t+\"axes\"],n=nt.isSubplotConstrained?{x:J,y:K}[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]||X[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 Ht(){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(J),i(rt.xaxes),i(nt.xaxes),a(e.overlays,\"xaxis\")),lt&&(i(K),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 qt(){if(!t._transitioningWithDuration){var e=t._context.doubleClick,r=[];it&&(r=r.concat(J)),at&&(r=r.concat(K)),nt.xaxes&&(r=r.concat(nt.xaxes)),nt.yaxes&&(r=r.concat(nt.yaxes));var n,i,a,o={};if(\"reset+autosize\"===e)for(e=\"autosize\",i=0;i<r.length;i++)if((n=r[i])._rangeInitial&&(n.range[0]!==n._rangeInitial[0]||n.range[1]!==n._rangeInitial[1])||!n._rangeInitial&&!n.autorange){e=\"reset\";break}if(\"autosize\"===e)for(i=0;i<r.length;i++)(n=r[i]).fixedrange||(o[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(K)):r=r.concat(J)),i=0;i<r.length;i++)(n=r[i]).fixedrange||(n._rangeInitial?(a=n._rangeInitial,o[n._name+\".range[0]\"]=a[0],o[n._name+\".range[1]\"]=a[1]):o[n._name+\".autorange\"]=!0);t.emit(\"plotly_doubleclick\",null),l.call(\"_guiRelayout\",t,o)}}function Gt(){Zt([0,0,tt,et]),i.syncOrAsync([T.previousPromises,function(){t._fullLayout._replotting=!1,l.call(\"_guiRelayout\",t,ht)}],t)}function Zt(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);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&&X[o._id];if(k?(m=d,b=y||nt.isSubplotConstrained?e[0]:Xt(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:Xt(a,m,{n:\"top\",s:\"bottom\"}[at])):b=Wt(a,m=Yt(a,d,g)),A?(x=g,T=v||nt.isSubplotConstrained?e[1]:Xt(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:Xt(o,x,{e:\"right\",w:\"left\"}[it])):T=Wt(o,x=Yt(o,d,g)),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 Wt(t,e){return e?(t.range=t._r.slice(),E(t,e),Xt(t,e)):0}function Xt(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 n,a=Math.exp(-Math.min(Math.max(r,-20),20)/200),o=jt.draglayer.select(\".nsewdrag\").node().getBoundingClientRect(),s=(e.clientX-o.left)/o.width,l=(o.bottom-e.clientY)/o.height;if(st){for(y||(s=.5),n=0;n<J.length;n++)u(J[n],s,a);Vt(\"x\"),Ft[2]*=a,Ft[0]+=Ft[2]*s*(1/a-1)}if(lt){for(v||(l=.5),n=0;n<K.length;n++)u(K[n],l,a);Vt(\"y\"),Ft[3]*=a,Ft[1]+=Ft[3]*(1-l)*(1/a-1)}Zt(Ft),Ht(),t.emit(\"plotly_relayouting\",ht),Bt=setTimeout((function(){t._fullLayout&&(Ft=[0,0,tt,et],Gt())}),Nt),e.preventDefault()}else i.log(\"Did not find wheel motion attributes: \",e)}function u(t,e,r){if(!t.fixedrange){var n=i.simpleMap(t.range,t.r2l),a=n[0]+(n[1]-n[0])*e;t.range=n.map((function(e){return t.l2r(a+(e-a)*r)}))}}})),bt},makeDragger:I,makeRectDragger:D,makeZoombox:N,makeCorners:j,updateZoombox:U,xyCorners:G,transitionZoombox:V,removeZoombox:H,showDoubleClickNotifier:q,attachWheelEventHandler:Y}},4305:function(t,e,r){\"use strict\";var n=r(39898),i=r(30211),a=r(28569),o=r(6964),s=r(29323).makeDragBox,l=r(85555).DRAGGERSIZE;e.initInteractions=function(t){var r=t._fullLayout;if(t._context.staticPlot)n.select(t).selectAll(\".drag\").remove();else if(r._has(\"cartesian\")||r._has(\"splom\")){Object.keys(r._plots||{}).sort((function(t,e){if((r._plots[t].mainplot&&!0)===(r._plots[e].mainplot&&!0)){var n=t.split(\"y\"),i=e.split(\"y\");return n[0]===i[0]?Number(n[1]||1)-Number(i[1]||1):Number(n[0]||1)-Number(i[0]||1)}return r._plots[t].mainplot?1:-1})).forEach((function(e){var n=r._plots[e],o=n.xaxis,u=n.yaxis;if(!n.mainplot){var 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_=(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}},82961:function(t,e,r){\"use strict\";var n=r(89298),i=r(78614);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)}},4796:function(t,e,r){\"use strict\";var n=r(30962).overrideAll,i=r(92918),a=r(10820),o=r(77922),s=r(85555),l=r(93612),u=r(528),c=r(27659).NG;e.name=\"gl2d\",e.attr=[\"xaxis\",\"yaxis\"],e.idRoot=[\"x\",\"y\"],e.idRegex=s.idRegex,e.attrRegex=s.attrRegex,e.attributes=r(89502),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];if(s._scene2d){var u=c(t,\"gl2d\",o);0===u.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)}},92918:function(t,e,r){\"use strict\";var n,i,a=r(73972),o=r(89298),s=r(30211),l=r(9330).gl_plot2d,u=r(9330).gl_spikes2d,c=r(9330).gl_select_box,f=r(40372),h=r(82961),p=r(75071),d=r(58617),v=r(99082),g=v.enforce,y=v.clean,m=r(71739).doAutoRange,x=r(64505),b=x.drawMode,_=x.selectMode,w=[\"xaxis\",\"yaxis\"],T=r(85555).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}}},58547:function(t,e,r){\"use strict\";var n=r(30962).overrideAll,i=r(528),a=r(33539),o=r(27659).NG,s=r(71828),l=r(77922),u=\"gl3d\",c=\"scene\";e.name=u,e.attr=c,e.idRoot=c,e.idRegex=e.attrRegex=s.counterRegex(\"scene\"),e.attributes=r(59084),e.layoutAttributes=r(65500),e.baseLayoutAttrOverrides=n({hoverlabel:i.hoverlabel},\"plot\",\"nested\"),e.supplyLayoutDefaults=r(24682),e.plot=function(t){for(var e=t._fullLayout,r=t._fullData,n=e._subplots.gl3d,i=0;i<n.length;i++){var s=n[i],l=o(r,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.gl3d||[],a=0;a<i.length;a++){var o=i[a];!e[o]&&n[o]._scene&&(n[o]._scene.destroy(),n._infolayer&&n._infolayer.selectAll(\".annotation-\"+o).remove())}},e.toSVG=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=e._size,i=0;i<r.length;i++){var a=e[r[i]],o=a.domain,s=a._scene,u=s.toImage(\"png\");e._glimages.append(\"svg:image\").attr({xmlns:l.svg,\"xlink:href\":u,x:n.l+n.w*o.x[0],y:n.t+n.h*(1-o.y[1]),width:n.w*(o.x[1]-o.x[0]),height:n.h*(o.y[1]-o.y[0]),preserveAspectRatio:\"none\"}),s.destroy()}},e.cleanId=function(t){if(t.match(/^scene[0-9]*$/)){var e=t.substr(5);return\"1\"===e&&(e=\"\"),c+e}},e.updateFx=function(t){for(var e=t._fullLayout,r=e._subplots.gl3d,n=0;n<r.length;n++)e[r[n]]._scene.updateFx(e.dragmode,e.hovermode)}},59084:function(t){\"use strict\";t.exports={scene:{valType:\"subplotid\",dflt:\"scene\",editType:\"calc+clearAxisTypes\"}}},77894:function(t,e,r){\"use strict\";var n=r(7901),i=r(13838),a=r(1426).extendFlat,o=r(30962).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,rangemode:i.rangemode,range:a({},i.range,{items:[{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}},{valType:\"any\",editType:\"plot\",impliedEdits:{\"^autorange\":!1}}],anim:!1}),tickmode:i.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\")},3277:function(t,e,r){\"use strict\";var n=r(84267).mix,i=r(71828),a=r(44467),o=r(77894),s=r(951),l=r(71453),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,noTickson:!0,noTicklabelmode:!0,noTicklabelstep:!0,noTicklabelposition:!0,noTicklabeloverflow:!0,bgColor:r.bgColor,calendar:r.calendar},r.fullLayout),h(\"gridcolor\",n(f.color,r.bgColor,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\")}}},30422:function(t,e,r){\"use strict\";var n=r(78614),i=r(71828),a=[\"xaxis\",\"yaxis\",\"zaxis\"];function o(){this.bounds=[[-10,-10,-10],[10,10,10]],this.ticks=[[],[],[]],this.tickEnable=[!0,!0,!0],this.tickFont=[\"sans-serif\",\"sans-serif\",\"sans-serif\"],this.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[18,18,18],this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=[\"Open Sans\",\"Open Sans\",\"Open Sans\"],this.labelSize=[20,20,20],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[30,30,30],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[10,10,10],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!0,!0,!0],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._defaultTickPad=this.tickPad.slice(),this._defaultLabelPad=this.labelPad.slice(),this._defaultLineTickLength=this.lineTickLength.slice()}o.prototype.merge=function(t,e){for(var r=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)),\"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)),\"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}},24682:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(73972),o=r(49119),s=r(3277),l=r(65500),u=r(27659).NG,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})}},65500:function(t,e,r){\"use strict\";var n=r(77894),i=r(27670).Y,a=r(1426).extendFlat,o=r(71828).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\"}}}},13133:function(t,e,r){\"use strict\";var n=r(78614),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}},96085: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(89298),i=r(71828),a=[\"xaxis\",\"yaxis\",\"zaxis\"],o=[0,0,0]},63538: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])))}},33539:function(t,e,r){\"use strict\";var n,i,a=r(9330).gl_plot3d,o=a.createCamera,s=a.createScene,l=r(40372),u=r(38520),c=r(73972),f=r(71828),h=f.preserveDrawingBuffer(),p=r(89298),d=r(30211),v=r(78614),g=r(58617),y=r(63538),m=r(30422),x=r(13133),b=r(96085);function _(t,e){var r=document.createElement(\"div\"),n=t.container;this.graphDiv=t.graphDiv;var i=document.createElementNS(\"http://www.w3.org/2000/svg\",\"svg\");i.style.position=\"absolute\",i.style.top=i.style.left=\"0px\",i.style.width=i.style.height=\"100%\",i.style[\"z-index\"]=20,i.style[\"pointer-events\"]=\"none\",r.appendChild(i),this.svgContainer=i,r.id=t.id,r.style.position=\"absolute\",r.style.top=r.style.left=\"0px\",r.style.width=r.style.height=\"100%\",n.appendChild(r),this.fullLayout=e,this.id=t.id||\"scene\",this.fullSceneLayout=e[this.id],this.plotArgs=[[],{},{}],this.axesOptions=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 w=_.prototype;w.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 T=!0;w.tryCreatePlot=function(){var t=this,e=t.prepareOptions(),r=!0;try{t.glplot=s(e)}catch(n){if(t.staticMode||!T||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(\" 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x=m?function(t){var e=I(r,C([t.x,0]));return l(e[0]-f,e[1]-p)}:function(t){return l(g.l2p(t.x)+c,0)},b=m?function(t){return O(r,t.x,-1/0,1/0)}:function(t){return r.pathArc(g.r2p(t.x)+c)},_=j(d);if(r.radialTickLayout!==_&&(i[\"radial-axis\"].selectAll(\".xtick\").remove(),r.radialTickLayout=_),y){g.setScale();var w=0,T=m?(g.tickvals||[]).filter((function(t){return t>=0})).map((function(t){return h.tickText(g,t,!0,!1)})):h.calcTicks(g),k=m?T:h.clipEnds(g,T),A=h.getTickSigns(g)[2];m&&((\"top\"===g.ticks&&\"bottom\"===g.side||\"bottom\"===g.ticks&&\"top\"===g.side)&&(A=-A),\"top\"===g.ticks&&\"top\"===g.side&&(w=-g.ticklen),\"bottom\"===g.ticks&&\"bottom\"===g.side&&(w=g.ticklen)),h.drawTicks(n,g,{vals:T,layer:i[\"radial-axis\"],path:h.makeTickPath(g,0,A),transFn:x,crisp:!1}),h.drawGrid(n,g,{vals:k,layer:i[\"radial-grid\"],path:b,transFn:o.noop,crisp:!1}),h.drawLabels(n,g,{vals:T,layer:i[\"radial-axis\"],transFn:x,labelFns:h.makeLabelFns(g,w)})}var 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e=y(t),r=Math.cos(e),n=Math.sin(e);return\"M\"+[f+c*r,p-c*n]+\"L\"+[f+a*r,p-a*n]},w=h.makeLabelFns(v,0).labelStandoff,T={xFn:function(t){var e=y(t);return Math.cos(e)*w},yFn:function(t){var e=y(t),r=Math.sin(e)>0?.2:1;return-Math.sin(e)*(w+t.fontSize*r)+Math.abs(Math.cos(e))*(t.fontSize*M)},anchorFn:function(t){var e=y(t),r=Math.cos(e);return Math.abs(r)<.1?\"middle\":r>0?\"start\":\"end\"},heightFn:function(t,e,r){var n=y(t);return-.5*(1+Math.sin(n))*r}},k=j(d);r.angularTickLayout!==k&&(i[\"angular-axis\"].selectAll(\".\"+v._id+\"tick\").remove(),r.angularTickLayout=k);var A,S=g?[1/0].concat(v.tickvals||[]).map((function(t){return h.tickText(v,t,!0,!1)})):h.calcTicks(v);if(g&&(S[0].text=\"∞\",S[0].fontSize*=1.75),\"linear\"===e.gridshape?(A=S.map(y),o.angleDelta(A[0],A[1])<0&&(A=A.slice().reverse())):A=null,r.vangles=A,\"category\"===v.type&&(S=S.filter((function(t){return o.isAngleInsideSector(y(t),r.sectorInRad)}))),v.visible){var E=\"inside\"===v.ticks?-1:1,L=(v.linewidth||1)/2;h.drawTicks(n,v,{vals:S,layer:i[\"angular-axis\"],path:\"M\"+E*L+\",0h\"+E*v.ticklen,transFn:b,crisp:!1}),h.drawGrid(n,v,{vals:S,layer:i[\"angular-grid\"],path:_,transFn:o.noop,crisp:!1}),h.drawLabels(n,v,{vals:S,layer:i[\"angular-axis\"],repositionOnUpdate:!0,transFn:x,labelFns:T})}V(i[\"angular-line\"].select(\"path\"),d.showline,{d:r.pathSubplot(),transform:l(f,p)}).attr(\"stroke-width\",d.linewidth).call(u.stroke,d.linecolor)},N.updateFx=function(t,e){this.gd._context.staticPlot||(!this.isSmith&&(this.updateAngularDrag(t),this.updateRadialDrag(t,e,0),this.updateRadialDrag(t,e,1)),this.updateHoverAndMainDrag(t))},N.updateHoverAndMainDrag=function(t){var 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,D=E.findEnclosingVertexAngles,z=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,H,q,G,Z,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 W(t,e){return Math.sqrt(t*t+e*e)}function X(t,e){return W(t-A,e-M)}function J(t,e){return Math.atan2(M-e,t-A)}function K(t,e){return[t*Math.cos(e),t*Math.sin(-e)]}function $(t,e){if(0===t)return s.pathSector(2*z);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(),H=!1;var t=c._fullLayout[s.id];q=i(t.bgcolor).getLuminance(),(G=g.makeZoombox(h,q,T,k,V)).attr(\"fill-rule\",\"evenodd\"),Z=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 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n=r(39898),i=r(84267),a=r(73972),o=r(71828),s=o.strTranslate,l=o._,u=r(7901),c=r(91424),f=r(21994),h=r(1426).extendFlat,p=r(74875),d=r(89298),v=r(28569),g=r(30211),y=r(64505),m=y.freeMode,x=y.rectMode,b=r(92998),_=r(47322).prepSelect,w=r(47322).selectOnClick,T=r(47322).clearOutline,k=r(47322).clearSelectionsCache,A=r(85555);function M(t,e){this.id=t.id,this.graphDiv=t.graphDiv,this.init(e),this.makeFramework(e),this.aTickLayout=null,this.bTickLayout=null,this.cTickLayout=null}t.exports=M;var S=M.prototype;S.init=function(t){this.container=t._ternarylayer,this.defs=t._defs,this.layoutId=t._uid,this.traceHash={},this.layers={}},S.plot=function(t,e){var r=this,n=e[r.id],i=e._size;r._hasClipOnAxisFalse=!1;for(var a=0;a<t.length;a++)if(!1===t[a][0].trace.cliponaxis){r._hasClipOnAxisFalse=!0;break}r.updateLayers(n),r.adjustLayout(n,i),p.generalUpdatePerTraceModule(r.graphDiv,r,t,n),r.layers.plotbg.select(\"path\").call(u.fill,n.bgcolor)},S.makeFramework=function(t){var e=this,r=e.graphDiv,n=t[e.id],i=e.clipId=\"clip\"+e.layoutId+e.id,a=e.clipIdRelative=\"clip-relative\"+e.layoutId+e.id;e.clipDef=o.ensureSingleById(t._clips,\"clipPath\",i,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),e.clipDefRelative=o.ensureSingleById(t._clips,\"clipPath\",a,(function(t){t.append(\"path\").attr(\"d\",\"M0,0Z\")})),e.plotContainer=o.ensureSingle(e.container,\"g\",e.id),e.updateLayers(n),c.setClipUrl(e.layers.backplot,i,r),c.setClipUrl(e.layers.grids,i,r)},S.updateLayers=function(t){var e=this.layers,r=[\"draglayer\",\"plotbg\",\"backplot\",\"grids\"];\"below traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"below traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"below traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\"),r.push(\"frontplot\"),\"above traces\"===t.aaxis.layer&&r.push(\"aaxis\",\"aline\"),\"above traces\"===t.baxis.layer&&r.push(\"baxis\",\"bline\"),\"above traces\"===t.caxis.layer&&r.push(\"caxis\",\"cline\");var i=this.plotContainer.selectAll(\"g.toplevel\").data(r,String),a=[\"agrid\",\"bgrid\",\"cgrid\"];i.enter().append(\"g\").attr(\"class\",(function(t){return\"toplevel \"+t})).each((function(t){var r=n.select(this);e[t]=r,\"frontplot\"===t?r.append(\"g\").classed(\"scatterlayer\",!0):\"backplot\"===t?r.append(\"g\").classed(\"maplayer\",!0):\"plotbg\"===t?r.append(\"path\").attr(\"d\",\"M0,0Z\"):\"aline\"===t||\"bline\"===t||\"cline\"===t?r.append(\"path\"):\"grids\"===t&&a.forEach((function(t){e[t]=r.append(\"g\").classed(\"grid \"+t,!0)}))})),i.order()};var E=Math.sqrt(4/3);S.adjustLayout=function(t,e){var r,n,i,a,o,l,p=this,d=t.domain,v=(d.x[0]+d.x[1])/2,g=(d.y[0]+d.y[1])/2,y=d.x[1]-d.x[0],m=d.y[1]-d.y[0],x=y*e.w,b=m*e.h,_=t.sum,w=t.aaxis.min,T=t.baxis.min,k=t.caxis.min;x>E*b?i=(a=b)*E:a=(i=x)/E,o=y*i/x,l=m*a/b,r=e.l+e.w*v-i/2,n=e.t+e.h*(1-g)-a/2,p.x0=r,p.y0=n,p.w=i,p.h=a,p.sum=_,p.xaxis={type:\"linear\",range:[w+2*k-_,_-w-2*T],domain:[v-o/2,v+o/2],_id:\"x\"},f(p.xaxis,p.graphDiv._fullLayout),p.xaxis.setScale(),p.xaxis.isPtWithinRange=function(t){return t.a>=p.aaxis.range[0]&&t.a<=p.aaxis.range[1]&&t.b>=p.baxis.range[1]&&t.b<=p.baxis.range[0]&&t.c>=p.caxis.range[1]&&t.c<=p.caxis.range[0]},p.yaxis={type:\"linear\",range:[w,_-T-k],domain:[g-l/2,g+l/2],_id:\"y\"},f(p.yaxis,p.graphDiv._fullLayout),p.yaxis.setScale(),p.yaxis.isPtWithinRange=function(){return!0};var A=p.yaxis.domain[0],M=p.aaxis=h({},t.aaxis,{range:[w,_-T-k],side:\"left\",tickangle:(+t.aaxis.tickangle||0)-30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(M,p.graphDiv._fullLayout),M.setScale();var S=p.baxis=h({},t.baxis,{range:[_-w-k,T],side:\"bottom\",domain:p.xaxis.domain,anchor:\"free\",position:0,_id:\"x\",_length:i});f(S,p.graphDiv._fullLayout),S.setScale();var L=p.caxis=h({},t.caxis,{range:[_-w-T,k],side:\"right\",tickangle:(+t.caxis.tickangle||0)+30,domain:[A,A+l*E],anchor:\"free\",position:0,_id:\"y\",_length:i});f(L,p.graphDiv._fullLayout),L.setScale();var C=\"M\"+r+\",\"+(n+a)+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDef.select(\"path\").attr(\"d\",C),p.layers.plotbg.select(\"path\").attr(\"d\",C);var P=\"M0,\"+a+\"h\"+i+\"l-\"+i/2+\",-\"+a+\"Z\";p.clipDefRelative.select(\"path\").attr(\"d\",P);var O=s(r,n);p.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",O),p.clipDefRelative.select(\"path\").attr(\"transform\",null);var I=s(r-S._offset,n+a);p.layers.baxis.attr(\"transform\",I),p.layers.bgrid.attr(\"transform\",I);var D=s(r+i/2,n)+\"rotate(30)\"+s(0,-M._offset);p.layers.aaxis.attr(\"transform\",D),p.layers.agrid.attr(\"transform\",D);var z=s(r+i/2,n)+\"rotate(-30)\"+s(0,-L._offset);p.layers.caxis.attr(\"transform\",z),p.layers.cgrid.attr(\"transform\",z),p.drawAxes(!0),p.layers.aline.select(\"path\").attr(\"d\",M.showline?\"M\"+r+\",\"+(n+a)+\"l\"+i/2+\",-\"+a:\"M0,0\").call(u.stroke,M.linecolor||\"#000\").style(\"stroke-width\",(M.linewidth||0)+\"px\"),p.layers.bline.select(\"path\").attr(\"d\",S.showline?\"M\"+r+\",\"+(n+a)+\"h\"+i:\"M0,0\").call(u.stroke,S.linecolor||\"#000\").style(\"stroke-width\",(S.linewidth||0)+\"px\"),p.layers.cline.select(\"path\").attr(\"d\",L.showline?\"M\"+(r+i/2)+\",\"+n+\"l\"+i/2+\",\"+a:\"M0,0\").call(u.stroke,L.linecolor||\"#000\").style(\"stroke-width\",(L.linewidth||0)+\"px\"),p.graphDiv._context.staticPlot||p.initInteractions(),c.setClipUrl(p.layers.frontplot,p._hasClipOnAxisFalse?null:p.clipId,p.graphDiv)},S.drawAxes=function(t){var e=this,r=e.graphDiv,n=e.id.substr(7)+\"title\",i=e.layers,a=e.aaxis,o=e.baxis,s=e.caxis;if(e.drawAx(a),e.drawAx(o),e.drawAx(s),t){var u=Math.max(a.showticklabels?a.tickfont.size/2:0,(s.showticklabels?.75*s.tickfont.size:0)+(\"outside\"===s.ticks?.87*s.ticklen:0)),c=(o.showticklabels?o.tickfont.size:0)+(\"outside\"===o.ticks?o.ticklen:0)+3;i[\"a-title\"]=b.draw(r,\"a\"+n,{propContainer:a,propName:e.id+\".aaxis.title\",placeholder:l(r,\"Click to enter Component A title\"),attributes:{x:e.x0+e.w/2,y:e.y0-a.title.font.size/3-u,\"text-anchor\":\"middle\"}}),i[\"b-title\"]=b.draw(r,\"b\"+n,{propContainer:o,propName:e.id+\".baxis.title\",placeholder:l(r,\"Click to enter Component B title\"),attributes:{x:e.x0-c,y:e.y0+e.h+.83*o.title.font.size+c,\"text-anchor\":\"middle\"}}),i[\"c-title\"]=b.draw(r,\"c\"+n,{propContainer:s,propName:e.id+\".caxis.title\",placeholder:l(r,\"Click to enter Component C title\"),attributes:{x:e.x0+e.w+c,y:e.y0+e.h+.83*s.title.font.size+c,\"text-anchor\":\"middle\"}})}},S.drawAx=function(t){var e,r=this,n=r.graphDiv,i=t._name,a=i.charAt(0),s=t._id,l=r.layers[i],u=a+\"tickLayout\",c=(e=t).ticks+String(e.ticklen)+String(e.showticklabels);r[u]!==c&&(l.selectAll(\".\"+s+\"tick\").remove(),r[u]=c),t.setScale();var f=d.calcTicks(t),h=d.clipEnds(t,f),p=d.makeTransTickFn(t),v=d.getTickSigns(t)[2],g=o.deg2rad(30),y=v*(t.linewidth||1)/2,m=v*t.ticklen,x=r.w,b=r.h,_=\"b\"===a?\"M0,\"+y+\"l\"+Math.sin(g)*m+\",\"+Math.cos(g)*m:\"M\"+y+\",0l\"+Math.cos(g)*m+\",\"+-Math.sin(g)*m,w={a:\"M0,0l\"+b+\",-\"+x/2,b:\"M0,0l-\"+x/2+\",-\"+b,c:\"M0,0l-\"+b+\",\"+x/2}[a];d.drawTicks(n,t,{vals:\"inside\"===t.ticks?h:f,layer:l,path:_,transFn:p,crisp:!1}),d.drawGrid(n,t,{vals:h,layer:r.layers[a+\"grid\"],path:w,transFn:p,crisp:!1}),d.drawLabels(n,t,{vals:f,layer:l,transFn:p,labelFns:d.makeLabelFns(t,0,30)})};var L=A.MINZOOM/2+.87,C=\"m-0.87,.5h\"+L+\"v3h-\"+(L+5.2)+\"l\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l2.6,1.5l-\"+L/2+\",\"+.87*L+\"Z\",P=\"m0.87,.5h-\"+L+\"v3h\"+(L+5.2)+\"l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-2.6,1.5l\"+L/2+\",\"+.87*L+\"Z\",O=\"m0,1l\"+L/2+\",\"+.87*L+\"l2.6,-1.5l-\"+(L/2+2.6)+\",-\"+(.87*L+4.5)+\"l-\"+(L/2+2.6)+\",\"+(.87*L+4.5)+\"l2.6,1.5l\"+L/2+\",-\"+.87*L+\"Z\",I=!0;function D(t){n.select(t).selectAll(\".zoombox,.js-zoombox-backdrop,.js-zoombox-menu,.zoombox-corners\").remove()}S.clearOutline=function(){k(this.dragOptions),T(this.dragOptions.gd)},S.initInteractions=function(){var t,e,r,n,f,h,p,d,y,b,T,k,M=this,S=M.layers.plotbg.select(\"path\").node(),L=M.graphDiv,z=L._fullLayout._zoomlayer;function R(t){var e={};return e[M.id+\".aaxis.min\"]=t.a,e[M.id+\".baxis.min\"]=t.b,e[M.id+\".caxis.min\"]=t.c,e}function F(t,e){var r=L._fullLayout.clickmode;D(L),2===t&&(L.emit(\"plotly_doubleclick\",null),a.call(\"_guiRelayout\",L,R({a:0,b:0,c:0}))),r.indexOf(\"select\")>-1&&1===t&&w(e,L,[M.xaxis],[M.yaxis],M.id,M.dragOptions),r.indexOf(\"event\")>-1&&g.click(L,e,M.id)}function B(t,e){return 1-e/M.h}function N(t,e){return 1-(t+(M.h-e)/Math.sqrt(3))/M.w}function j(t,e){return(t-(M.h-e)/Math.sqrt(3))/M.w}function U(i,a){var o=r+i*t,s=n+a*e,l=Math.max(0,Math.min(1,B(0,n),B(0,s))),u=Math.max(0,Math.min(1,N(r,n),N(o,s))),c=Math.max(0,Math.min(1,j(r,n),j(o,s))),v=(l/2+c)*M.w,g=(1-l/2-u)*M.w,m=(v+g)/2,x=g-v,_=(1-l)*M.h,w=_-x/E;x<A.MINZOOM?(p=f,T.attr(\"d\",y),k.attr(\"d\",\"M0,0Z\")):(p={a:f.a+l*h,b:f.b+u*h,c:f.c+c*h},T.attr(\"d\",y+\"M\"+v+\",\"+_+\"H\"+g+\"L\"+m+\",\"+w+\"L\"+v+\",\"+_+\"Z\"),k.attr(\"d\",\"M\"+r+\",\"+n+\"m0.5,0.5h5v-2h-5v-5h-2v5h-5v2h5v5h2ZM\"+v+\",\"+_+C+\"M\"+g+\",\"+_+P+\"M\"+m+\",\"+w+O)),b||(T.transition().style(\"fill\",d>.2?\"rgba(0,0,0,0.4)\":\"rgba(255,255,255,0.3)\").duration(200),k.transition().style(\"opacity\",1).duration(200),b=!0),L.emit(\"plotly_relayouting\",R(p))}function V(){D(L),p!==f&&(a.call(\"_guiRelayout\",L,R(p)),I&&L.data&&L._context.showTips&&(o.notifier(l(L,\"Double-click to zoom back out\"),\"long\"),I=!1))}function H(t,e){var r=t/M.xaxis._m,n=e/M.yaxis._m,i=[(p={a:f.a-n,b:f.b+(r+n)/2,c:f.c-(r-n)/2}).a,p.b,p.c].sort(o.sorterAsc),a=i.indexOf(p.a),l=i.indexOf(p.b),u=i.indexOf(p.c);i[0]<0&&(i[1]+i[0]/2<0?(i[2]+=i[0]+i[1],i[0]=i[1]=0):(i[2]+=i[0]/2,i[1]+=i[0]/2,i[0]=0),p={a:i[a],b:i[l],c:i[u]},e=(f.a-p.a)*M.yaxis._m,t=(f.c-p.c-f.b+p.b)*M.xaxis._m);var h=s(M.x0+t,M.y0+e);M.plotContainer.selectAll(\".scatterlayer,.maplayer\").attr(\"transform\",h);var d=s(-t,-e);M.clipDefRelative.select(\"path\").attr(\"transform\",d),M.aaxis.range=[p.a,M.sum-p.b-p.c],M.baxis.range=[M.sum-p.a-p.c,p.b],M.caxis.range=[M.sum-p.a-p.b,p.c],M.drawAxes(!1),M._hasClipOnAxisFalse&&M.plotContainer.select(\".scatterlayer\").selectAll(\".trace\").call(c.hideOutsideRangePoints,M),L.emit(\"plotly_relayouting\",R(p))}function q(){a.call(\"_guiRelayout\",L,R(p))}this.dragOptions={element:S,gd:L,plotinfo:{id:M.id,domain:L._fullLayout[M.id].domain,xaxis:M.xaxis,yaxis:M.yaxis},subplot:M.id,prepFn:function(a,l,c){M.dragOptions.xaxes=[M.xaxis],M.dragOptions.yaxes=[M.yaxis],t=L._fullLayout._invScaleX,e=L._fullLayout._invScaleY;var v=M.dragOptions.dragmode=L._fullLayout.dragmode;m(v)?M.dragOptions.minDrag=1:M.dragOptions.minDrag=void 0,\"zoom\"===v?(M.dragOptions.moveFn=U,M.dragOptions.clickFn=F,M.dragOptions.doneFn=V,function(t,e,a){var l=S.getBoundingClientRect();r=e-l.left,n=a-l.top,L._fullLayout._calcInverseTransform(L);var c=L._fullLayout._invTransform,v=o.apply3DTransform(c)(r,n);r=v[0],n=v[1],f={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=f,h=M.aaxis.range[1]-f.a,d=i(M.graphDiv._fullLayout[M.id].bgcolor).getLuminance(),y=\"M0,\"+M.h+\"L\"+M.w/2+\", 0L\"+M.w+\",\"+M.h+\"Z\",b=!1,T=z.append(\"path\").attr(\"class\",\"zoombox\").attr(\"transform\",s(M.x0,M.y0)).style({fill:d>.2?\"rgba(0,0,0,0)\":\"rgba(255,255,255,0)\",\"stroke-width\":0}).attr(\"d\",y),k=z.append(\"path\").attr(\"class\",\"zoombox-corners\").attr(\"transform\",s(M.x0,M.y0)).style({fill:u.background,stroke:u.defaultLine,\"stroke-width\":1,opacity:0}).attr(\"d\",\"M0,0Z\"),M.clearOutline(L)}(0,l,c)):\"pan\"===v?(M.dragOptions.moveFn=H,M.dragOptions.clickFn=F,M.dragOptions.doneFn=q,f={a:M.aaxis.range[0],b:M.baxis.range[1],c:M.caxis.range[1]},p=f,M.clearOutline(L)):(x(v)||m(v))&&_(a,l,c,M.dragOptions,v)}},S.onmousemove=function(t){g.hover(L,t,M.id),L._fullLayout._lasthover=S,L._fullLayout._hoversubplot=M.id},S.onmouseout=function(t){L._dragging||v.unhover(L,t)},v.init(this.dragOptions)}},73972:function(t,e,r){\"use strict\";var n=r(47769),i=r(64213),a=r(75138),o=r(41965),s=r(24401).addStyleRule,l=r(1426),u=r(9012),c=r(10820),f=l.extendFlat,h=l.extendDeepAll;function p(t){var r=t.name,i=t.categories,a=t.meta;if(e.modules[r])n.log(\"Type \"+r+\" already registered\");else{e.subplotsRegistry[t.basePlotModule.name]||function(t){var r=t.name;if(e.subplotsRegistry[r])n.log(\"Plot type \"+r+\" already registered.\");else for(var i in y(t),e.subplotsRegistry[r]=t,e.componentsRegistry)b(i,t.name)}(t.basePlotModule);for(var o={},l=0;l<i.length;l++)o[i[l]]=!0,e.allCategories[i[l]]=!0;for(var u in e.modules[r]={_module:t,categories:o},a&&Object.keys(a).length&&(e.modules[r].meta=a),e.allTypes.push(r),e.componentsRegistry)m(u,r);t.layoutAttributes&&f(e.traceLayoutAttributes,t.layoutAttributes);var c=t.basePlotModule,h=c.name;if(\"mapbox\"===h){var p=c.constants.styleRules;for(var d in p)s(\".js-plotly-plot .plotly .mapboxgl-\"+d,p[d])}\"geo\"!==h&&\"mapbox\"!==h||void 0!==window.PlotlyGeoAssets||(window.PlotlyGeoAssets={topojson:{}})}}function d(t){if(\"string\"!=typeof t.name)throw new Error(\"Component module *name* must be a string.\");var r=t.name;for(var 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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 h=(e.posAxis||{}).type;\"category\"!==h&&\"multicategory\"!==h||(this.minDiff=1),this.binWidth=this.minDiff,this.bins={}}i.prototype.put=function(t,e){var r=this.getLabel(t,e),n=this.bins[r]||0;return this.bins[r]=n+e,n},i.prototype.get=function(t,e){var r=this.getLabel(t,e);return this.bins[r]||0},i.prototype.getLabel=function(t,e){return(e<0&&this.sepNegVal?\"v\":\"^\")+(this.overlapNoMerge?t:Math.round(t/this.binWidth))}},16688:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(91424),o=r(71828),s=r(73972),l=r(72597).resizeText,u=r(1486),c=u.textfont,f=u.insidetextfont,h=u.outsidetextfont,p=r(69383);function d(t,e,r){a.pointStyle(t.selectAll(\"path\"),e,r),v(t,e,r)}function v(t,e,r){t.selectAll(\"text\").each((function(t){var i=n.select(this),s=o.ensureUniformFontSize(r,g(i,t,e,r));a.font(i,s)}))}function g(t,e,r,n){var 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n=r(7901),i=r(52075).hasColorscale,a=r(1586),o=r(71828).coercePattern;t.exports=function(t,e,r,s,l){var u=r(\"marker.color\",s),c=i(t,\"marker\");c&&a(t,e,l,r,{prefix:\"marker.\",cLetter:\"c\"}),r(\"marker.line.color\",n.defaultLine),i(t,\"marker.line\")&&a(t,e,l,r,{prefix:\"marker.line.\",cLetter:\"c\"}),r(\"marker.line.width\"),r(\"marker.opacity\"),o(r,\"marker.pattern\",u,c),r(\"selected.marker.color\"),r(\"unselected.marker.color\")}},72597:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828);function a(t){return\"_\"+t+\"Text_minsize\"}t.exports={recordMinTextSize:function(t,e,r){if(r.uniformtext.mode){var n=a(t),i=r.uniformtext.minsize,o=e.scale*e.fontSize;e.hide=o<i,r[n]=r[n]||1/0,e.hide||(r[n]=Math.min(r[n],Math.max(o,i)))}},clearMinTextSize:function(t,e){e[a(t)]=void 0},resizeText:function(t,e,r){var a=t._fullLayout,o=a[\"_\"+r+\"Text_minsize\"];if(o){var 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e=f.c2l(t.pos+p,!0),a=f.l2p(e-s)+v,o=f.l2p(e+l)+v,x=h?(a+o)/2:f.l2p(e)+v,b=r.whiskerwidth,_=h?a*b+(1-b)*x:f.l2p(e-d)+v,w=h?o*b+(1-b)*x:f.l2p(e+d)+v,T=f.l2p(e-s*m)+v,k=f.l2p(e+l*m)+v,A=c.c2p(t.q1,!0),M=c.c2p(t.q3,!0),S=i.constrain(c.c2p(t.med,!0),Math.min(A,M)+1,Math.max(A,M)-1),E=void 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h=f.selectAll(\"path\").data((function(t){var e,n,a=t.pts2,o=Math.max((t.max-t.min)/10,t.q3-t.q1),s=1e-9*o,f=.01*o,h=[],p=0;if(r.jitter){if(0===o)for(p=1,h=new Array(a.length),e=0;e<a.length;e++)h[e]=1;else for(e=0;e<a.length;e++){var d=Math.max(0,e-5),v=a[d].v,g=Math.min(a.length-1,e+5),y=a[g].v;\"all\"!==c&&(a[e].v<t.lf?y=Math.min(y,t.lf):v=Math.max(v,t.uf));var m=Math.sqrt(f*(g-d)/(y-v+s))||0;m=i.constrain(Math.abs(m),0,1),h.push(m),p=Math.max(m,p)}n=2*r.jitter/(p||1)}for(e=0;e<a.length;e++){var x=a[e],b=x.v,_=r.jitter?n*h[e]*(i.pseudoRandom()-.5):0,w=t.pos+u+l*(r.pointpos+_);\"h\"===r.orientation?(x.y=w,x.x=b):(x.x=w,x.y=b),\"suspectedoutliers\"===c&&b<t.uo&&b>t.lo&&(x.so=!0)}return a}));h.enter().append(\"path\").classed(\"point\",!0),h.exit().remove(),h.call(a.translatePoints,o,s)}function l(t,e,r,a){var 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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(D),E.exit().remove(),S.append(\"text\").attr(\"class\",\"catlabel\").attr(\"pointer-events\",\"none\");var z=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(z)).style(\"fill\",\"rgb(0, 0, 0)\").attr(\"x\",(function(t){return d(t)?t.width+5:-5})).attr(\"y\",(function(t){return t.height/2})).text((function(t){return t.model.categoryLabel})).each((function(t){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 g(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){s.raiseToTop(this),w(n.select(this));var e=m(t),r=x(t);if(t.parcatsViewModel.graphDiv.emit(\"plotly_hover\",{points:e,event:n.event,constraints:r}),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")){var i,a,l,u=n.mouse(this)[0],f=t.parcatsViewModel.graphDiv,h=t.parcatsViewModel.trace,p=f._fullLayout,d=p._paperdiv.node().getBoundingClientRect(),v=t.parcatsViewModel.graphDiv.getBoundingClientRect();for(l=0;l<t.leftXs.length-1;l++)if(t.leftXs[l]+t.dimWidths[l]-2<=u&&u<=t.leftXs[l+1]+2){var g=t.parcatsViewModel.dimensions[l],y=t.parcatsViewModel.dimensions[l+1];i=(g.x+g.width+y.x)/2,a=(t.topYs[l]+t.topYs[l+1]+t.height)/2;break}var b=t.parcatsViewModel.x+i,_=t.parcatsViewModel.y+a,T=c.mostReadable(t.model.color,[\"black\",\"white\"]),k=t.model.count,A=k/t.parcatsViewModel.model.count,M={countLabel:k,probabilityLabel:A.toFixed(3)},S=[];-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&S.push([\"Count:\",M.countLabel].join(\" \")),-1!==t.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&S.push([\"P:\",M.probabilityLabel].join(\" \"));var E=S.join(\"<br>\"),L=n.mouse(f)[0];o.loneHover({trace:h,x:b-d.left+v.left,y:_-d.top+v.top,text:E,color:t.model.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:10,fontColor:T,idealAlign:L<b?\"right\":\"left\",hovertemplate:(h.line||{}).hovertemplate,hovertemplateLabels:M,eventData:[{data:h._input,fullData:h,count:k,probability:A}]},{container:p._hoverlayer.node(),outerContainer:p._paper.node(),gd:f})}}}function 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=D(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 i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=n.select(t.parentNode).selectAll(\"rect.bandrect\"),l=[];s.each((function(t){A(t).each((function(t){Array.prototype.push.apply(l,m(t))}))}));var u={};u[a.dimensionInd]=a.categoryValue,o.emit(e,{points:l,event:r,constraints:u})}function S(t,e,r){var i=n.select(t).datum(),a=i.categoryViewModel.model,o=i.parcatsViewModel.graphDiv,s=A(i),l=[];s.each((function(t){Array.prototype.push.apply(l,m(t))}));var u={};u[a.dimensionInd]=a.categoryValue,void 0!==i.rawColor&&(u.color=i.rawColor),o.emit(e,{points:l,event:r,constraints:u})}function E(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=n.select(r.parentNode).select(\"rect.catrect\"),u=l.node().getBoundingClientRect(),c=l.datum(),f=c.parcatsViewModel,h=f.model.dimensions[c.model.dimensionInd],p=f.trace,d=u.top+u.height/2;f.dimensions.length>1&&h.displayInd===f.dimensions.length-1?(i=u.left,a=\"left\"):(i=u.left+u.width,a=\"right\");var v=c.model.count,g=c.model.categoryLabel,y=v/c.parcatsViewModel.model.count,m={countLabel:v,categoryLabel:g,probabilityLabel:y.toFixed(3)},x=[];-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&x.push([\"Count:\",m.countLabel].join(\" \")),-1!==c.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&x.push([\"P(\"+m.categoryLabel+\"):\",m.probabilityLabel].join(\" \"));var b=x.join(\"<br>\");return{trace:p,x:o*(i-e.left),y:s*(d-e.top),text:b,color:\"lightgray\",borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontSize:12,fontColor:\"black\",idealAlign:a,hovertemplate:p.hovertemplate,hovertemplateLabels:m,eventData:[{data:p._input,fullData:p,count:v,category:g,probability:y}]}}function L(t){if(!t.parcatsViewModel.dragDimension&&-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")){if(n.mouse(this)[1]<-1)return;var e,r=t.parcatsViewModel.graphDiv,i=r._fullLayout,a=i._paperdiv.node().getBoundingClientRect(),l=t.parcatsViewModel.hoveron,u=this;\"color\"===l?(function(t){var e=n.select(t).datum(),r=A(e);w(r),r.each((function(){s.raiseToTop(this)})),n.select(t.parentNode).selectAll(\"rect.bandrect\").filter((function(t){return t.color===e.color})).each((function(){s.raiseToTop(this),n.select(this).attr(\"stroke\",\"black\").attr(\"stroke-width\",1.5)}))}(u),S(u,\"plotly_hover\",n.event)):(function(t){n.select(t.parentNode).selectAll(\"rect.bandrect\").each((function(t){var e=A(t);w(e),e.each((function(){s.raiseToTop(this)}))})),n.select(t.parentNode).select(\"rect.catrect\").attr(\"stroke\",\"black\").attr(\"stroke-width\",2.5)}(u),M(u,\"plotly_hover\",n.event)),-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"none\")&&(\"category\"===l?e=E(r,a,u):\"color\"===l?e=function(t,e,r){t._fullLayout._calcInverseTransform(t);var i,a,o=t._fullLayout._invScaleX,s=t._fullLayout._invScaleY,l=r.getBoundingClientRect(),u=n.select(r).datum(),f=u.categoryViewModel,h=f.parcatsViewModel,p=h.model.dimensions[f.model.dimensionInd],d=h.trace,v=l.y+l.height/2;h.dimensions.length>1&&p.displayInd===h.dimensions.length-1?(i=l.left,a=\"left\"):(i=l.left+l.width,a=\"right\");var g=f.model.categoryLabel,y=u.parcatsViewModel.model.count,m=0;u.categoryViewModel.bands.forEach((function(t){t.color===u.color&&(m+=t.count)}));var x=f.model.count,b=0;h.pathSelection.each((function(t){t.model.color===u.color&&(b+=t.model.count)}));var _=m/y,w=m/b,T=m/x,k={countLabel:y,categoryLabel:g,probabilityLabel:_.toFixed(3)},A=[];-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"count\")&&A.push([\"Count:\",k.countLabel].join(\" \")),-1!==f.parcatsViewModel.hoverinfoItems.indexOf(\"probability\")&&(A.push(\"P(color ∩ \"+g+\"): \"+k.probabilityLabel),A.push(\"P(\"+g+\" | color): \"+w.toFixed(3)),A.push(\"P(color | \"+g+\"): \"+T.toFixed(3)));var M=A.join(\"<br>\"),S=c.mostReadable(u.color,[\"black\",\"white\"]);return{trace:d,x:o*(i-e.left),y:s*(v-e.top),text:M,color:u.color,borderColor:\"black\",fontFamily:'Monaco, \"Courier New\", monospace',fontColor:S,fontSize:10,idealAlign:a,hovertemplate:d.hovertemplate,hovertemplateLabels:k,eventData:[{data:d._input,fullData:d,category:g,count:y,probability:_,categorycount:x,colorcount:b,bandcolorcount:m}]}}(r,a,u):\"dimension\"===l&&(e=function(t,e,r){var i=[];return n.select(r.parentNode.parentNode).selectAll(\"g.category\").select(\"rect.catrect\").each((function(){i.push(E(t,e,this))})),i}(r,a,u)),e&&o.loneHover(e,{container:i._hoverlayer.node(),outerContainer:i._paper.node(),gd:r}))}}function C(t){var e=t.parcatsViewModel;e.dragDimension||(_(e.pathSelection),T(e.dimensionSelection.selectAll(\"g.category\")),k(e.dimensionSelection.selectAll(\"g.category\").selectAll(\"rect.bandrect\")),o.loneUnhover(e.graphDiv._fullLayout._hoverlayer.node()),e.pathSelection.sort(v),-1!==e.hoverinfoItems.indexOf(\"skip\"))||(\"color\"===t.parcatsViewModel.hoveron?S(this,\"plotly_unhover\",n.event):M(this,\"plotly_unhover\",n.event))}function P(t){\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragDimensionDisplayInd=t.model.displayInd,t.initialDragDimensionDisplayInds=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),t.dragHasMoved=!1,t.dragCategoryDisplayInd=null,n.select(this).selectAll(\"g.category\").select(\"rect.catrect\").each((function(e){var r=n.mouse(this)[0],i=n.mouse(this)[1];-2<=r&&r<=e.width+2&&-2<=i&&i<=e.height+2&&(t.dragCategoryDisplayInd=e.model.displayInd,t.initialDragCategoryDisplayInds=t.model.categories.map((function(t){return t.displayInd})),e.model.dragY=e.y,s.raiseToTop(this.parentNode),n.select(this.parentNode).selectAll(\"rect.bandrect\").each((function(e){e.y<i&&i<=e.y+e.height&&(t.potentialClickBand=this)})))})),t.parcatsViewModel.dragDimension=t,o.loneUnhover(t.parcatsViewModel.graphDiv._fullLayout._hoverlayer.node()))}function O(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&(t.dragHasMoved=!0,null!==t.dragDimensionDisplayInd)){var e=t.dragDimensionDisplayInd,r=e-1,i=e+1,a=t.parcatsViewModel.dimensions[e];if(null!==t.dragCategoryDisplayInd){var o=a.categories[t.dragCategoryDisplayInd];o.model.dragY+=n.event.dy;var s=o.model.dragY,l=o.model.displayInd,u=a.categories,c=u[l-1],f=u[l+1];void 0!==c&&s<c.y+c.height/2&&(o.model.displayInd=c.model.displayInd,c.model.displayInd=l),void 0!==f&&s+o.height>f.y+f.height/2&&(o.model.displayInd=f.model.displayInd,f.model.displayInd=l),t.dragCategoryDisplayInd=o.model.displayInd}if(null===t.dragCategoryDisplayInd||\"freeform\"===t.parcatsViewModel.arrangement){a.model.dragX=n.event.x;var h=t.parcatsViewModel.dimensions[r],p=t.parcatsViewModel.dimensions[i];void 0!==h&&a.model.dragX<h.x+h.width&&(a.model.displayInd=h.model.displayInd,h.model.displayInd=e),void 0!==p&&a.model.dragX+a.width>p.x&&(a.model.displayInd=p.model.displayInd,p.model.displayInd=t.dragDimensionDisplayInd),t.dragDimensionDisplayInd=a.model.displayInd}j(t.parcatsViewModel),N(t.parcatsViewModel),R(t.parcatsViewModel),z(t.parcatsViewModel)}}function I(t){if(\"fixed\"!==t.parcatsViewModel.arrangement&&null!==t.dragDimensionDisplayInd){n.select(this).selectAll(\"text\").attr(\"font-weight\",\"normal\");var e={},r=D(t.parcatsViewModel),i=t.parcatsViewModel.model.dimensions.map((function(t){return t.displayInd})),o=t.initialDragDimensionDisplayInds.some((function(t,e){return t!==i[e]}));o&&i.forEach((function(r,n){var i=t.parcatsViewModel.model.dimensions[n].containerInd;e[\"dimensions[\"+i+\"].displayindex\"]=r}));var s=!1;if(null!==t.dragCategoryDisplayInd){var l=t.model.categories.map((function(t){return t.displayInd}));if(s=t.initialDragCategoryDisplayInds.some((function(t,e){return t!==l[e]}))){var u=t.model.categories.slice().sort((function(t,e){return t.displayInd-e.displayInd})),c=u.map((function(t){return t.categoryValue})),f=u.map((function(t){return t.categoryLabel}));e[\"dimensions[\"+t.model.containerInd+\"].categoryarray\"]=[c],e[\"dimensions[\"+t.model.containerInd+\"].ticktext\"]=[f],e[\"dimensions[\"+t.model.containerInd+\"].categoryorder\"]=\"array\"}}-1===t.parcatsViewModel.hoverinfoItems.indexOf(\"skip\")&&!t.dragHasMoved&&t.potentialClickBand&&(\"color\"===t.parcatsViewModel.hoveron?S(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent):M(t.potentialClickBand,\"plotly_click\",n.event.sourceEvent)),t.model.dragX=null,null!==t.dragCategoryDisplayInd&&(t.parcatsViewModel.dimensions[t.dragDimensionDisplayInd].categories[t.dragCategoryDisplayInd].model.dragY=null,t.dragCategoryDisplayInd=null),t.dragDimensionDisplayInd=null,t.parcatsViewModel.dragDimension=null,t.dragHasMoved=null,t.potentialClickBand=null,j(t.parcatsViewModel),N(t.parcatsViewModel),n.transition().duration(300).ease(\"cubic-in-out\").each((function(){R(t.parcatsViewModel,!0),z(t.parcatsViewModel,!0)})).each(\"end\",(function(){(o||s)&&a.restyle(t.parcatsViewModel.graphDiv,e,[r])}))}}function D(t){for(var e,r=t.graphDiv._fullData,n=0;n<r.length;n++)if(t.key===r[n].uid){e=n;break}return e}function z(t,e){var r;void 0===e&&(e=!1),t.pathSelection.data((function(t){return t.paths}),p),(r=t.pathSelection,e?r.transition():r).attr(\"d\",(function(t){return t.svgD}))}function R(t,e){function r(t){return e?t.transition():t}void 0===e&&(e=!1),t.dimensionSelection.data((function(t){return t.dimensions}),p);var i=t.dimensionSelection.selectAll(\"g.category\").data((function(t){return t.categories}),p);r(t.dimensionSelection).attr(\"transform\",(function(t){return l(t.x,0)})),r(i).attr(\"transform\",(function(t){return l(0,t.y)})),i.select(\".dimlabel\").text((function(t,e){return 0===e?t.parcatsViewModel.model.dimensions[t.model.dimensionInd].dimensionLabel:null})),i.select(\".catlabel\").attr(\"text-anchor\",(function(t){return d(t)?\"start\":\"end\"})).attr(\"x\",(function(t){return d(t)?t.width+5:-5})).each((function(t){var e,r;d(t)?(e=t.width+5,r=\"start\"):(e=-5,r=\"end\"),n.select(this).selectAll(\"tspan\").attr(\"x\",e).attr(\"text-anchor\",r)}));var a=i.selectAll(\"rect.bandrect\").data((function(t){return t.bands}),p),o=a.enter().append(\"rect\").attr(\"class\",\"bandrect\").attr(\"cursor\",\"move\").attr(\"stroke-opacity\",0).attr(\"fill\",(function(t){return t.color})).attr(\"fill-opacity\",0);a.attr(\"fill\",(function(t){return t.color})).attr(\"width\",(function(t){return t.width})).attr(\"height\",(function(t){return t.height})).attr(\"y\",(function(t){return t.y})),k(o),a.each((function(){s.raiseToTop(this)})),a.exit().remove()}function F(t,e,r){var n,i=r[0],a=e.margin||{l:80,r:80,t:100,b:80},o=i.trace,s=o.domain,l=e.width,u=e.height,c=Math.floor(l*(s.x[1]-s.x[0])),f=Math.floor(u*(s.y[1]-s.y[0])),h=s.x[0]*l+a.l,p=e.height-s.y[1]*e.height+a.t,d=o.line.shape;n=\"all\"===o.hoverinfo?[\"count\",\"probability\"]:(o.hoverinfo||\"\").split(\"+\");var v={trace:o,key:o.uid,model:i,x:h,y:p,width:c,height:f,hoveron:o.hoveron,hoverinfoItems:n,arrangement:o.arrangement,bundlecolors:o.bundlecolors,sortpaths:o.sortpaths,labelfont:o.labelfont,categorylabelfont:o.tickfont,pathShape:d,dragDimension:null,margin:a,paths:[],dimensions:[],graphDiv:t,traceSelection:null,pathSelection:null,dimensionSelection:null};return i.dimensions&&(j(v),N(v)),v}function B(t,e,r,n,a){var o,s,l=[],u=[];for(s=0;s<r.length-1;s++)o=i(r[s]+t[s],t[s+1]),l.push(o(a)),u.push(o(1-a));var c=\"M \"+t[0]+\",\"+e[0];for(c+=\"l\"+r[0]+\",0 \",s=1;s<r.length;s++)c+=\"C\"+l[s-1]+\",\"+e[s-1]+\" \"+u[s-1]+\",\"+e[s]+\" \"+t[s]+\",\"+e[s],c+=\"l\"+r[s]+\",0 \";for(c+=\"l0,\"+n+\" \",c+=\"l -\"+r[r.length-1]+\",0 \",s=r.length-2;s>=0;s--)c+=\"C\"+u[s]+\",\"+(e[s+1]+n)+\" \"+l[s]+\",\"+(e[s]+n)+\" \"+(t[s]+r[s])+\",\"+(e[s]+n),c+=\"l-\"+r[s]+\",0 \";return c+\"Z\"}function N(t){var e=t.dimensions,r=t.model,n=e.map((function(t){return t.categories.map((function(t){return t.y}))})),i=t.model.dimensions.map((function(t){return t.categories.map((function(t){return t.displayInd}))})),a=t.model.dimensions.map((function(t){return t.displayInd})),o=t.dimensions.map((function(t){return t.model.dimensionInd})),s=e.map((function(t){return t.x})),l=e.map((function(t){return t.width})),u=[];for(var c in r.paths)r.paths.hasOwnProperty(c)&&u.push(r.paths[c]);function f(t){var e=t.categoryInds.map((function(t,e){return i[e][t]}));return o.map((function(t){return e[t]}))}u.sort((function(e,r){var n=f(e),i=f(r);return\"backward\"===t.sortpaths&&(n.reverse(),i.reverse()),n.push(e.valueInds[0]),i.push(r.valueInds[0]),t.bundlecolors&&(n.unshift(e.rawColor),i.unshift(r.rawColor)),n<i?-1:n>i?1:0}));for(var h=new Array(u.length),p=e[0].model.count,d=e[0].categories.map((function(t){return t.height})).reduce((function(t,e){return t+e})),v=0;v<u.length;v++){var g,y=u[v];g=p>0?d*(y.count/p):0;for(var m,x=new Array(n.length),b=0;b<y.categoryInds.length;b++){var 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n=r(50693),i=r(13838),a=r(41940),o=r(27670).Y,s=r(1426).extendFlat,l=r(44467).templatedArray;t.exports={domain:o({name:\"parcoords\",trace:!0,editType:\"plot\"}),labelangle:{valType:\"angle\",dflt:0,editType:\"plot\"},labelside:{valType:\"enumerated\",values:[\"top\",\"bottom\"],dflt:\"top\",editType:\"plot\"},labelfont:a({editType:\"plot\"}),tickfont:a({editType:\"plot\"}),rangefont:a({editType:\"plot\"}),dimensions:l(\"dimension\",{label:{valType:\"string\",editType:\"plot\"},tickvals:s({},i.tickvals,{editType:\"plot\"}),ticktext:s({},i.ticktext,{editType:\"plot\"}),tickformat:s({},i.tickformat,{editType:\"plot\"}),visible:{valType:\"boolean\",dflt:!0,editType:\"plot\"},range:{valType:\"info_array\",items:[{valType:\"number\",editType:\"plot\"},{valType:\"number\",editType:\"plot\"}],editType:\"plot\"},constraintrange:{valType:\"info_array\",freeLength:!0,dimensions:\"1-2\",items:[{valType:\"any\",editType:\"plot\"},{valType:\"any\",editType:\"plot\"}],editType:\"plot\"},multiselect:{valType:\"boolean\",dflt:!0,editType:\"plot\"},values:{valType:\"data_array\",editType:\"calc\"},editType:\"calc\"}),line:s({editType:\"calc\"},n(\"line\",{colorscaleDflt:\"Viridis\",autoColorDflt:!1,editTypeOverride:\"calc\"})),unselected:{line:{color:{valType:\"color\",dflt:\"#7f7f7f\",editType:\"plot\"},opacity:{valType:\"number\",min:0,max:1,dflt:\"auto\",editType:\"plot\"},editType:\"plot\"},editType:\"plot\"}}},57920:function(t,e,r){\"use 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s(\"line.colorscale\"),a(t,e,o,s,{prefix:\"line.\",cLetter:\"c\"}),l.length;e.line.color=r}return 1/0}(t,e,r,l,c);o(e,l,c),Array.isArray(v)&&v.length||(e.visible=!1),h(e,v,\"values\",g);var y={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\")}},1602:function(t,e,r){\"use strict\";var n=r(71828).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)}},67618:function(t,e,r){\"use strict\";var n=r(71791);n.plot=r(21341),t.exports=n},83398:function(t,e,r){\"use strict\";var n=r(56068),i=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nattribute vec4 p01_04, p05_08, p09_12, p13_16,\\n               p17_20, p21_24, p25_28, p29_32,\\n               p33_36, p37_40, p41_44, p45_48,\\n               p49_52, p53_56, p57_60, colors;\\n\\nuniform mat4 dim0A, dim1A, dim0B, dim1B, dim0C, dim1C, dim0D, dim1D,\\n             loA, hiA, loB, hiB, loC, hiC, loD, hiD;\\n\\nuniform vec2 resolution, viewBoxPos, viewBoxSize;\\nuniform float maskHeight;\\nuniform float drwLayer; // 0: context, 1: focus, 2: pick\\nuniform vec4 contextColor;\\nuniform sampler2D maskTexture, palette;\\n\\nbool isPick    = (drwLayer > 1.5);\\nbool isContext = (drwLayer < 0.5);\\n\\nconst vec4 ZEROS = vec4(0.0, 0.0, 0.0, 0.0);\\nconst vec4 UNITS = vec4(1.0, 1.0, 1.0, 1.0);\\n\\nfloat val(mat4 p, mat4 v) {\\n    return dot(matrixCompMult(p, v) * UNITS, UNITS);\\n}\\n\\nfloat axisY(float ratio, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float y1 = val(A, dim0A) + val(B, dim0B) + val(C, dim0C) + val(D, dim0D);\\n    float y2 = val(A, dim1A) + val(B, dim1B) + val(C, dim1C) + val(D, dim1D);\\n    return y1 * (1.0 - ratio) + y2 * ratio;\\n}\\n\\nint iMod(int a, int b) {\\n    return a - b * (a / b);\\n}\\n\\nbool fOutside(float p, float lo, float hi) {\\n    return (lo < hi) && (lo > p || p > hi);\\n}\\n\\nbool vOutside(vec4 p, vec4 lo, vec4 hi) {\\n    return (\\n        fOutside(p[0], lo[0], hi[0]) ||\\n        fOutside(p[1], lo[1], hi[1]) ||\\n        fOutside(p[2], lo[2], hi[2]) ||\\n        fOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool mOutside(mat4 p, mat4 lo, mat4 hi) {\\n    return (\\n        vOutside(p[0], lo[0], hi[0]) ||\\n        vOutside(p[1], lo[1], hi[1]) ||\\n        vOutside(p[2], lo[2], hi[2]) ||\\n        vOutside(p[3], lo[3], hi[3])\\n    );\\n}\\n\\nbool outsideBoundingBox(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    return mOutside(A, loA, hiA) ||\\n           mOutside(B, loB, hiB) ||\\n           mOutside(C, loC, hiC) ||\\n           mOutside(D, loD, hiD);\\n}\\n\\nbool outsideRasterMask(mat4 A, mat4 B, mat4 C, mat4 D) {\\n    mat4 pnts[4];\\n    pnts[0] = A;\\n    pnts[1] = B;\\n    pnts[2] = C;\\n    pnts[3] = D;\\n\\n    for(int i = 0; i < 4; ++i) {\\n        for(int j = 0; j < 4; ++j) {\\n            for(int k = 0; k < 4; ++k) {\\n                if(0 == iMod(\\n                    int(255.0 * texture2D(maskTexture,\\n                        vec2(\\n                            (float(i * 2 + j / 2) + 0.5) / 8.0,\\n                            (pnts[i][j][k] * (maskHeight - 1.0) + 1.0) / maskHeight\\n                        ))[3]\\n                    ) / int(pow(2.0, float(iMod(j * 4 + k, 8)))),\\n                    2\\n                )) return true;\\n            }\\n        }\\n    }\\n    return false;\\n}\\n\\nvec4 position(bool isContext, float v, mat4 A, mat4 B, mat4 C, mat4 D) {\\n    float x = 0.5 * sign(v) + 0.5;\\n    float y = axisY(x, A, B, C, D);\\n    float z = 1.0 - abs(v);\\n\\n    z += isContext ? 0.0 : 2.0 * float(\\n        outsideBoundingBox(A, B, C, D) ||\\n        outsideRasterMask(A, B, C, D)\\n    );\\n\\n    return vec4(\\n        2.0 * (vec2(x, y) * viewBoxSize + viewBoxPos) / resolution - 1.0,\\n        z,\\n        1.0\\n    );\\n}\\n\\nvoid main() {\\n    mat4 A = mat4(p01_04, p05_08, p09_12, p13_16);\\n    mat4 B = mat4(p17_20, p21_24, p25_28, p29_32);\\n    mat4 C = mat4(p33_36, p37_40, p41_44, p45_48);\\n    mat4 D = mat4(p49_52, p53_56, p57_60, ZEROS);\\n\\n    float v = colors[3];\\n\\n    gl_Position = position(isContext, v, A, B, C, D);\\n\\n    fragColor =\\n        isContext ? vec4(contextColor) :\\n        isPick ? vec4(colors.rgb, 1.0) : texture2D(palette, vec2(abs(v), 0.5));\\n}\\n\"]),a=n([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n    gl_FragColor = fragColor;\\n}\\n\"]),o=r(25706).maxDimensionCount,s=r(71828),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<o?\"p\"+g(t+1)+\"_\"+g(t+4):\"colors\"}function 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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,n,l,g,b,_=e.context,w=e.pick,T=e.regl,k=T._gl,A=k.getParameter(k.ALIASED_LINE_WIDTH_RANGE),M=Math.max(A[0],Math.min(A[1],e.viewModel.plotGlPixelRatio)),S={currentRafs:{},drawCompleted:!0,clearOnly:!1},E=function(t){for(var e={},r=0;r<=o;r+=4)e[y(r)]=t.buffer({usage:\"dynamic\",type:\"float\",data:new Uint8Array(0)});return e}(T),L=T.texture(c),C=[];O(e);var P=T({profile:!1,blend:{enable:_,func:{srcRGB:\"src alpha\",dstRGB:\"one minus src 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O(t){r=t.model,n=t.viewModel,l=n.dimensions.slice(),g=l[0]?l[0].values.length:0;var e=r.lines,i=w?e.color.map((function(t,r){return r/e.color.length})):e.color,a=function(t,e,r){for(var n,i=new Array(t*(o+4)),a=0,s=0;s<t;s++){for(var l=0;l<o;l++)i[a++]=l<e.length?e[l].paddedUnitValues[s]:.5;i[a++]=d(s,2),i[a++]=d(s,1),i[a++]=d(s,0),i[a++]=(n=r[s],Math.max(1e-6,Math.min(.999999,n)))}return i}(g,l,i);!function(t,e,r){for(var n=0;n<=o;n+=4)t[y(n)](v(n/4,e,r))}(E,g,a),_||w||(L=T.texture(s.extendFlat({data:p(r.unitToColor,255)},c)))}return{render:function(t,e,n){var i,a,o,s=t.length,u=1/0,c=-1/0;for(i=0;i<s;i++)t[i].dim0.canvasX<u&&(u=t[i].dim0.canvasX,a=i),t[i].dim1.canvasX>c&&(c=t[i].dim1.canvasX,o=i);0===s&&f(T,0,0,r.canvasWidth,r.canvasHeight);var p=function(t){var e,r,n,i=[[],[]];for(n=0;n<64;n++){var a=!t&&n<l.length?l[n].brush.filter.getBounds():[-1/0,1/0];i[0][n]=a[0],i[1][n]=a[1]}var o=new Array(16384);for(e=0;e<16384;e++)o[e]=255;if(!t)for(e=0;e<l.length;e++){var s=e%8,u=(e-s)/8,c=Math.pow(2,s),f=l[e].brush.filter.get();if(!(f.length<2)){var h=x(f[0])[1];for(r=1;r<f.length;r++){var p=x(f[r]);for(n=h+1;n<p[0];n++)o[8*n+u]&=~c;h=Math.max(h,p[1])}}}var d={shape:[8,2048],format:\"alpha\",type:\"uint8\",mag:\"nearest\",min:\"nearest\",data:o};return b?b(d):b=T.texture(d),{maskTexture:b,maskHeight:2048,loA:i[0].slice(0,16),loB:i[0].slice(16,32),loC:i[0].slice(32,48),loD:i[0].slice(48,64),hiA:i[1].slice(0,16),hiB:i[1].slice(16,32),hiC:i[1].slice(32,48),hiD:i[1].slice(48,64)}}(_);for(i=0;i<s;i++){var d=t[i],v=d.dim0.crossfilterDimensionIndex,y=d.dim1.crossfilterDimensionIndex,k=d.canvasX,A=d.canvasY,M=k+d.panelSizeX,E=d.plotGlPixelRatio;if(e||!C[v]||C[v][0]!==k||C[v][1]!==M){C[v]=[k,M];var L=m(r,a,o,i,v,y,k,A,d.panelSizeX,d.panelSizeY,d.dim0.crossfilterDimensionIndex,_?0:w?2:1,p,E);S.clearOnly=n;var O=e?r.lines.blockLineCount:g;h(T,P,S,O,g,L)}}},readPixel:function(t,e){return T.read({x:t,y:e,width:1,height:1,data:u}),u},readPixels:function(t,e,r,n){var i=new Uint8Array(4*r*n);return T.read({x:t,y:e,width:r,height:n,data:i}),i},destroy:function(){for(var e in t.style[\"pointer-events\"]=\"none\",L.destroy(),b&&b.destroy(),E)E[e].destroy()},update:O}}},94397:function(t){\"use strict\";t.exports=function(t,e,r,n){var i,a;for(n||(n=1/0),i=0;i<e.length;i++)(a=e[i]).visible&&(n=Math.min(n,a[r].length));for(n===1/0&&(n=0),t._length=n,i=0;i<e.length;i++)(a=e[i]).visible&&(a._length=n);return n}},17171:function(t,e,r){\"use strict\";var n=r(39898),i=r(71828),a=i.numberFormat,o=r(36652),s=r(89298),l=i.strRotate,u=i.strTranslate,c=r(63893),f=r(91424),h=r(21081),p=r(28984),d=p.keyFun,v=p.repeat,g=p.unwrap,y=r(1602),m=r(25706),x=r(57920),b=r(83398);function _(t,e,r){return i.aggNums(t,null,e,r)}function w(t,e){return k(_(Math.min,t,e),_(Math.max,t,e))}function T(t){var e=t.range;return e?k(e[0],e[1]):w(t.values,t._length)}function k(t,e){return!isNaN(t)&&isFinite(t)||(t=0),!isNaN(e)&&isFinite(e)||(e=0),t===e&&(0===t?(t-=1,e+=1):(t*=.9,e*=1.1)),[t,e]}function A(t,e,r,i,o){var s,l,u=T(r);return i?n.scale.ordinal().domain(i.map((s=a(r.tickformat),l=o,l?function(t,e){var r=l[e];return null==r?s(t):r}:s))).range(i.map((function(r){var n=(r-u[0])/(u[1]-u[0]);return t-e+n*(2*e-t)}))):n.scale.linear().domain(u).range([t-e,e])}function M(t){if(t.tickvals){var e=T(t);return n.scale.ordinal().domain(t.tickvals).range(t.tickvals.map((function(t){return(t-e[0])/(e[1]-e[0])})))}}function S(t){var e=t.map((function(t){return t[0]})),r=t.map((function(t){var e=o(t[1]);return n.rgb(\"rgb(\"+e[0]+\",\"+e[1]+\",\"+e[2]+\")\")})),i=\"rgb\".split(\"\").map((function(t){return n.scale.linear().clamp(!0).domain(e).range(r.map((i=t,function(t){return t[i]})));var i}));return function(t){return i.map((function(e){return e(t)}))}}function E(t){return t.dimensions.some((function(t){return t.brush.filterSpecified}))}function L(t,e,r){var a=g(e),s=a.trace,l=y.convertTypedArray(a.lineColor),u=s.line,c={color:o(s.unselected.line.color),opacity:s.unselected.line.opacity},f=h.extractOpts(u),p=f.reversescale?h.flipScale(a.cscale):a.cscale,d=s.domain,v=s.dimensions,x=t.width,b=s.labelangle,_=s.labelside,w=s.labelfont,k=s.tickfont,A=s.rangefont,M=i.extendDeepNoArrays({},u,{color:l.map(n.scale.linear().domain(T({values:l,range:[f.min,f.max],_length:s._length}))),blockLineCount:m.blockLineCount,canvasOverdrag:m.overdrag*m.canvasPixelRatio}),E=Math.floor(x*(d.x[1]-d.x[0])),L=Math.floor(t.height*(d.y[1]-d.y[0])),C=t.margin||{l:80,r:80,t:100,b:80},P=E,O=L;return{key:r,colCount:v.filter(y.isVisible).length,dimensions:v,tickDistance:m.tickDistance,unitToColor:S(p),lines:M,deselectedLines:c,labelAngle:b,labelSide:_,labelFont:w,tickFont:k,rangeFont:A,layoutWidth:x,layoutHeight:t.height,domain:d,translateX:d.x[0]*x,translateY:t.height-d.y[1]*t.height,pad:C,canvasWidth:P*m.canvasPixelRatio+2*M.canvasOverdrag,canvasHeight:O*m.canvasPixelRatio,width:P,height:O,canvasPixelRatio:m.canvasPixelRatio}}function 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t.map(n).sort(i.sorterAsc)})).sort((function(t,e){return t[0]-e[0]}));e.filterChanged(p.key,o._index,a)}}))}})),p}function P(t){t.classed(m.cn.axisExtentText,!0).attr(\"text-anchor\",\"middle\").style(\"cursor\",\"default\")}function O(t,e){var r=\"top\"===e?1:-1,n=t*Math.PI/180;return{dir:r,dx:Math.sin(n),dy:Math.cos(n),degrees:t}}function I(t,e,r){for(var n=e.panels||(e.panels=[]),i=t.data(),a=0;a<i.length-1;a++){var o=n[a]||(n[a]={}),s=i[a],l=i[a+1];o.dim0=s,o.dim1=l,o.canvasX=s.canvasX,o.panelSizeX=l.canvasX-s.canvasX,o.panelSizeY=e.model.canvasHeight,o.y=0,o.canvasY=0,o.plotGlPixelRatio=r}}function D(t,e){return s.tickText(t._ax,e,!1).text}function z(t,e){if(t.ordinal)return\"\";var r=t.domainScale.domain(),n=r[e?r.length-1:0];return D(t.model.dimensions[t.visibleIndex],n)}t.exports=function(t,e,r,a){var o=t._context.staticPlot,h=t._fullLayout,p=h._toppaper,_=h._glcontainer,T=t._context.plotGlPixelRatio,A=t._fullLayout.paper_bgcolor;!function(t){for(var e=0;e<t.length;e++)for(var r=0;r<t[e].length;r++)for(var n=t[e][r].trace,i=n.dimensions,a=0;a<i.length;a++){var o=i[a].values,l=i[a]._ax;l&&(l.range?l.range=k(l.range[0],l.range[1]):l.range=w(o,n._length),l.dtick||(l.dtick=.01*(Math.abs(l.range[1]-l.range[0])||1)),l.tickformat=i[a].tickformat,s.calcTicks(l),l.cleanRange())}}(e);var M,S,R=(M=!0,S=!1,{linePickActive:function(t){return arguments.length?M=!!t:M},contextShown:function(t){return arguments.length?S=!!t:S}}),F=e.filter((function(t){return g(t).trace.visible})).map(L.bind(0,r)).map(C.bind(0,R,a));_.each((function(t,e){return i.extendFlat(t,F[e])}));var B=_.selectAll(\".gl-canvas\").each((function(t){t.viewModel=F[0],t.viewModel.plotGlPixelRatio=T,t.viewModel.paperColor=A,t.model=t.viewModel?t.viewModel.model:null})),N=null;B.filter((function(t){return t.pick})).style(\"pointer-events\",o?\"none\":\"auto\").on(\"mousemove\",(function(t){if(R.linePickActive()&&t.lineLayer&&a&&a.hover){var e=n.event,r=this.width,i=this.height,o=n.mouse(this),s=o[0],l=o[1];if(s<0||l<0||s>=r||l>=i)return;var u=t.lineLayer.readPixel(s,i-1-l),c=0!==u[3],f=c?u[2]+256*(u[1]+256*u[0]):null,h={x:s,y:l,clientX:e.clientX,clientY:e.clientY,dataIndex:t.model.key,curveNumber:f};f!==N&&(c?a.hover(h):a.unhover&&a.unhover(h),N=f)}})),B.style(\"opacity\",(function(t){return t.pick?0:1})),p.style(\"background\",\"rgba(255, 255, 255, 0)\");var j=p.selectAll(\".\"+m.cn.parcoords).data(F,d);j.exit().remove(),j.enter().append(\"g\").classed(m.cn.parcoords,!0).style(\"shape-rendering\",\"crispEdges\").style(\"pointer-events\",\"none\"),j.attr(\"transform\",(function(t){return u(t.model.translateX,t.model.translateY)}));var U=j.selectAll(\".\"+m.cn.parcoordsControlView).data(v,d);U.enter().append(\"g\").classed(m.cn.parcoordsControlView,!0),U.attr(\"transform\",(function(t){return u(t.model.pad.l,t.model.pad.t)}));var V=U.selectAll(\".\"+m.cn.yAxis).data((function(t){return 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n=r(9012),i=r(27670).Y,a=r(41940),o=r(22399),s=r(5386).f,l=r(5386).s,u=r(1426).extendFlat,c=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\"},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({},c,{}),insidetextorientation:{valType:\"enumerated\",values:[\"horizontal\",\"radial\",\"tangential\",\"auto\"],dflt:\"auto\",editType:\"plot\"},insidetextfont:u({},c,{}),outsidetextfont:u({},c,{}),automargin:{valType:\"boolean\",dflt:!1,editType:\"plot\"},title:{text:{valType:\"string\",dflt:\"\",editType:\"plot\"},font:u({},c,{}),position:{valType:\"enumerated\",values:[\"top 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n=r(74875);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)}},32354:function(t,e,r){\"use strict\";var n=r(92770),i=r(84267),a=r(7901),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}},37434:function(t,e,r){\"use strict\";var n=r(92770),i=r(71828),a=r(34e3),o=r(27670).c,s=r(90769).handleText;function l(t,e){var r=Array.isArray(t),a=i.isArrayOrTypedArray(e),o=Math.min(r?t.length:1/0,a?e.length:1/0);if(isFinite(o)||(o=0),o&&a){for(var s,l=0;l<o;l++){var u=e[l];if(n(u)&&u>0){s=!0;break}}s||(o=0)}return{hasLabels:r,hasValues:a,len:o}}t.exports={handleLabelsAndValues:l,supplyDefaults:function(t,e,r,n){function u(r,n){return i.coerce(t,e,a,r,n)}var c=l(u(\"labels\"),u(\"values\")),f=c.len;if(e._hasLabels=c.hasLabels,e._hasValues=c.hasValues,!e._hasLabels&&e._hasValues&&(u(\"label0\"),u(\"dlabel\")),f){e._length=f,u(\"marker.line.width\")&&u(\"marker.line.color\"),u(\"marker.colors\"),u(\"scalegroup\");var h,p=u(\"text\"),d=u(\"texttemplate\");if(d||(h=u(\"textinfo\",Array.isArray(p)?\"text+percent\":\"percent\")),u(\"hovertext\"),u(\"hovertemplate\"),d||h&&\"none\"!==h){var v=u(\"textposition\");s(t,e,n,u,v,{moduleHasSelected:!1,moduleHasUnselected:!1,moduleHasConstrain:!1,moduleHasCliponaxis:!1,moduleHasTextangle:!1,moduleHasInsideanchor:!1}),(Array.isArray(v)||\"auto\"===v||\"outside\"===v)&&u(\"automargin\"),(\"inside\"===v||\"auto\"===v||Array.isArray(v))&&u(\"insidetextorientation\")}o(e,n,u);var g=u(\"hole\");if(u(\"title.text\")){var y=u(\"title.position\",g?\"middle center\":\"top center\");g||\"middle center\"!==y||(e.title.position=\"top center\"),i.coerceFont(u,\"title.font\",n.font)}u(\"sort\"),u(\"direction\"),u(\"rotation\"),u(\"pull\")}else e.visible=!1}}},20007:function(t,e,r){\"use strict\";var n=r(23469).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}},53581:function(t,e,r){\"use strict\";var n=r(71828);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(Array.isArray(t))for(var r=0;r<e.length;r++){var n=t[e[r]];if(n||0===n||\"\"===n)return n}},e.castOption=function(t,r){return Array.isArray(t)?e.getFirstFilled(t,r):t||void 0},e.getRotationAngle=function(t){return(\"auto\"===t?0:t)*Math.PI/180}},58810:function(t,e,r){\"use strict\";t.exports={attributes:r(34e3),supplyDefaults:r(37434).supplyDefaults,supplyLayoutDefaults:r(92097),layoutAttributes:r(92774),calc:r(32354).calc,crossTraceCalc:r(32354).crossTraceCalc,plot:r(14575).plot,style:r(68357),styleOne:r(63463),moduleType:\"trace\",name:\"pie\",basePlotModule:r(13584),categories:[\"pie-like\",\"pie\",\"showLegend\"],meta:{}}},92774:function(t){\"use strict\";t.exports={hiddenlabels:{valType:\"data_array\",editType:\"calc\"},piecolorway:{valType:\"colorlist\",editType:\"calc\"},extendpiecolors:{valType:\"boolean\",dflt:!0,editType:\"calc\"}}},92097:function(t,e,r){\"use strict\";var n=r(71828),i=r(92774);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\")}},14575:function(t,e,r){\"use strict\";var n=r(39898),i=r(74875),a=r(30211),o=r(7901),s=r(91424),l=r(71828),u=l.strScale,c=l.strTranslate,f=r(63893),h=r(72597),p=h.recordMinTextSize,d=h.clearMinTextSize,v=r(97313).TEXTPAD,g=r(53581),y=r(20007),m=r(71828).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;return{color:n||o.contrast(e.color),family:i,size:a}}function _(t,e){for(var r,n,i=0;i<t.length;i++)if((n=(r=t[i][0]).trace).title.text){var a=n.title.text;n._meta&&(a=l.templateString(a,n._meta));var o=s.tester.append(\"text\").attr(\"data-notex\",1).text(a).call(s.font,n.title.font).call(f.convertToTspans,e),u=s.bBox(o.node(),!0);r.titleBox={width:u.width,height:u.height},o.remove()}}function w(t,e,r){var n=r.r||e.rpx1,i=e.rInscribed;if(e.startangle===e.stopangle)return{rCenter:1-i,scale:0,rotate:0,textPosAngle:0};var a,o=e.ring,s=1===o&&Math.abs(e.startangle-e.stopangle)===2*Math.PI,l=e.halfangle,u=e.midangle,c=r.trace.insidetextorientation,f=\"horizontal\"===c,h=\"tangential\"===c,p=\"radial\"===c,d=\"auto\"===c,v=[];if(!d){var g,y=function(r,i){if(function(t,e){var r=t.startangle,n=t.stopangle;return r>e&&e>n||r<e&&e<n}(e,r)){var s=Math.abs(r-e.startangle),l=Math.abs(r-e.stopangle),u=s<l?s:l;(a=\"tan\"===i?k(t,n,o,u,0):T(t,n,o,u,Math.PI/2)).textPosAngle=r,v.push(a)}};if(f||h){for(g=4;g>=-4;g-=2)y(Math.PI*g,\"tan\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+1),\"tan\")}if(f||p){for(g=4;g>=-4;g-=2)y(Math.PI*(g+1.5),\"rad\");for(g=4;g>=-4;g-=2)y(Math.PI*(g+.5),\"rad\")}}if(s||d||f){var 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(Array.isArray(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 D(t,e){return[t*Math.sin(e),-t*Math.cos(e)]}function z(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=D(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=D(a,s),r.midangle=s,n=D(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\")}z(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}}(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:D(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,l,u,c,f,h,p,d;function v(t,e){return t.pxmid[1]-e.pxmid[1]}function y(t,e){return e.pxmid[1]-t.pxmid[1]}function m(t,r){r||(r={});var 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g=m(v),y={valueLabel:a(i.valueFormat)(v.value)+i.valueSuffix};u.push({x:g[0],y:g[1],name:y.valueLabel,text:[v.label||\"\",w+v.source.label,T+v.target.label,v.concentrationscale?k+a(\"%0.2f\")(v.flow.labelConcentration):\"\"].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||l.addOpacity(v.color,1),borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:n.event.x<g[0]?\"right\":\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:y,eventData:[v]})}}s.loneHover(u,{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t,anchorIndex:c}).each((function(){i.link.concentrationscale||p(this,.65),d(this)}))}}function m(t){var e,r;t.circular?(e=(t.circularPathData.leftInnerExtent+t.circularPathData.rightInnerExtent)/2,r=t.circularPathData.verticalFullExtent):(e=(t.source.x1+t.target.x0)/2,r=(t.y0+t.y1)/2);var 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l=n.select(e).select(\".\"+u.nodeRect),c=t._fullLayout._paperdiv.node().getBoundingClientRect(),h=l.node().getBoundingClientRect(),v=h.left-2-c.left,g=h.right+2-c.left,y=h.top+h.height/4-c.top,m={valueLabel:a(i.valueFormat)(i.node.value)+i.valueSuffix};i.node.fullData=i.node.trace,t._fullLayout._calcInverseTransform(t);var x=t._fullLayout._invScaleX,b=t._fullLayout._invScaleY,w=s.loneHover({x0:x*v,x1:x*g,y:b*y,name:a(i.valueFormat)(i.node.value)+i.valueSuffix,text:[i.node.label,A+i.node.targetLinks.length,M+i.node.sourceLinks.length].filter(f).join(\"<br>\"),color:_(o,\"bgcolor\")||i.tinyColorHue,borderColor:_(o,\"bordercolor\"),fontFamily:_(o,\"font.family\"),fontSize:_(o,\"font.size\"),fontColor:_(o,\"font.color\"),nameLength:_(o,\"namelength\"),textAlign:_(o,\"align\"),idealAlign:\"left\",hovertemplate:o.hovertemplate,hovertemplateLabels:m,eventData:[i.node]},{container:r._hoverlayer.node(),outerContainer:r._paper.node(),gd:t});p(w,.85),d(w)}}},unhover:function(e,i,a){!1!==t._fullLayout.hovermode&&(n.select(e).call(m,i,a),\"skip\"!==i.node.trace.node.hoverinfo&&(i.node.fullData=i.node.trace,t.emit(\"plotly_unhover\",{event:n.event,points:[i.node]})),s.loneUnhover(r._hoverlayer.node()))},select:function(e,r,i){var a=r.node;a.originalEvent=n.event,t._hoverdata=[a],n.select(e).call(m,r,i),s.click(t,{target:!0})}}})}},3393:function(t,e,r){\"use strict\";var n=r(49887),i=r(81684).k4,a=r(39898),o=r(30838),s=r(86781),l=r(85247),u=r(84267),c=r(7901),f=r(91424),h=r(71828),p=h.strTranslate,d=h.strRotate,v=r(28984),g=v.keyFun,y=v.repeat,m=v.unwrap,x=r(63893),b=r(73972),_=r(18783),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=t.width*(c.x[1]-c.x[0]),g=t.height*(c.y[1]-c.y[0]),y=i._nodes,x=i._links,b=i.circular;(n=b?s.sankeyCircular().circularLinkGap(0):o.sankey()).iterations(l.sankeyIterations).size(f?[v,g]:[g,v]).nodeWidth(d).nodePadding(p).nodeId((function(t){return t.pointNumber})).nodes(y).links(x);var _,w,T,k=n();for(var A in n.nodePadding()<p&&h.warn(\"node.pad was reduced to \",n.nodePadding(),\" to fit within the figure.\"),i._groupLookup){var 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c=0;for(w=0;w<r.targetLinks.length;w++)c+=r.targetLinks[w].value;for(w=0;w<r.targetLinks.length;w++)(e=r.targetLinks[w]).concenrationIn=e.value/c}}(),a.node.x.length&&a.node.y.length){for(_=0;_<Math.min(a.node.x.length,a.node.y.length,k.nodes.length);_++)if(a.node.x[_]&&a.node.y[_]){var L=[a.node.x[_]*v,a.node.y[_]*g];k.nodes[_].x0=L[0]-d/2,k.nodes[_].x1=L[0]+d/2;var C=k.nodes[_].y1-k.nodes[_].y0;k.nodes[_].y0=L[1]-C/2,k.nodes[_].y1=L[1]+C/2}\"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(_=0;_<n.length;_++){var s=t[n[_].index];s.x0>o+d&&(a+=1,e=s.x0),o=s.x0,i[a]||(i[a]=[]),i[a].push(s),r=e-s.x0,s.x0+=r,s.x1+=r}return i}(y=k.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:i,traceId:t.key,pointNumber:e.pointNumber,link:e,tinyColorHue:c.tinyRGB(n),tinyColorAlpha:n.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)+\" 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e.group&&(s=h.randstr()),e.trace=t.trace,e.curveNumber=t.trace.index,{index:e.pointNumber,key:s,partOfGroup:e.partOfGroup||!1,group:e.group,traceId:t.key,trace:t.trace,node:e,nodePad:t.nodePad,nodeLineColor:t.nodeLineColor,nodeLineWidth:t.nodeLineWidth,textFont:t.textFont,size:t.horizontal?t.height:t.width,visibleWidth:Math.ceil(a),visibleHeight:o,zoneX:-n,zoneY:-i,zoneWidth:a+2*n,zoneHeight:o+2*i,labelY:t.horizontal?e.dy/2+1:e.dx/2+1,left:1===e.originalLayer,sizeAcross:t.width,forceLayouts:t.forceLayouts,horizontal:t.horizontal,darkBackground:r.getBrightness()<=128,tinyColorHue: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 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n=r(82196),i=r(9012),a=r(5386).f,o=r(5386).s,s=r(50693),l=r(1426).extendFlat,u=n.marker,c=n.line,f=u.line;t.exports={carpet:{valType:\"string\",editType:\"calc\"},a:{valType:\"data_array\",editType:\"calc\"},b:{valType:\"data_array\",editType:\"calc\"},mode:l({},n.mode,{dflt:\"markers\"}),text:l({},n.text,{}),texttemplate:o({editType:\"plot\"},{keys:[\"a\",\"b\",\"text\"]}),hovertext:l({},n.hovertext,{}),line:{color:c.color,width:c.width,dash:c.dash,backoff:c.backoff,shape:l({},c.shape,{values:[\"linear\",\"spline\"]}),smoothing:c.smoothing,editType:\"calc\"},connectgaps:n.connectgaps,fill:l({},n.fill,{values:[\"none\",\"toself\",\"tonext\"],dflt:\"none\"}),fillcolor:n.fillcolor,marker:l({symbol:u.symbol,opacity:u.opacity,maxdisplayed:u.maxdisplayed,angle:u.angle,angleref:u.angleref,standoff:u.standoff,size:u.size,sizeref:u.sizeref,sizemin:u.sizemin,sizemode:u.sizemode,line:l({width:f.width,editType:\"calc\"},s(\"marker.line\")),gradient:u.gradient,editType:\"calc\"},s(\"marker\")),textfont:n.textfont,textposition:n.textposition,selected:n.selected,unselected:n.unselected,hoverinfo:l({},i.hoverinfo,{flags:[\"a\",\"b\",\"text\",\"name\"]}),hoveron:n.hoveron,hovertemplate:a()}},34618:function(t,e,r){\"use 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r,n,i=e._length,o=e.marker,l={},u=s.isArrayOrTypedArray(o.symbol),f=s.isArrayOrTypedArray(o.angle),d=s.isArrayOrTypedArray(o.color),v=s.isArrayOrTypedArray(o.line.color),g=s.isArrayOrTypedArray(o.opacity),y=s.isArrayOrTypedArray(o.size),m=s.isArrayOrTypedArray(o.line.width);if(u||(n=p.isOpenSymbol(o.symbol)),u||d||v||g||f){l.symbols=new Array(i),l.angles=new Array(i),l.colors=new Array(i),l.borderColors=new Array(i);var x=o.symbol,b=o.angle,_=c(o,o.opacity,i),w=c(o.line,o.opacity,i);if(!Array.isArray(w[0])){var T=w;for(w=Array(i),r=0;r<i;r++)w[r]=T}if(!Array.isArray(_[0])){var k=_;for(_=Array(i),r=0;r<i;r++)_[r]=k}if(!Array.isArray(x)){var A=x;for(x=Array(i),r=0;r<i;r++)x[r]=A}if(!Array.isArray(b)){var M=b;for(b=Array(i),r=0;r<i;r++)b[r]=M}for(l.symbols=x,l.angles=b,l.colors=_,l.borderColors=w,r=0;r<i;r++)u&&(n=p.isOpenSymbol(o.symbol[r])),n&&(w[r]=_[r].slice(),_[r]=_[r].slice(),_[r][3]=0);for(l.opacity=e.opacity,l.markers=new Array(i),r=0;r<i;r++)l.markers[r]=E({mx:l.symbols[r],ma:l.angles[r]},e)}else n?(l.color=a(o.color,\"uint8\"),l.color[3]=0,l.borderColor=a(o.color,\"uint8\")):(l.color=a(o.color,\"uint8\"),l.borderColor=a(o.line.color,\"uint8\")),l.opacity=e.opacity*o.opacity,l.marker=E({mx:o.symbol,ma:o.angle},e);var S,L=h(e,1);if(y||m){var C,P=l.sizes=new Array(i),O=l.borderSizes=new Array(i),I=0;if(y){for(r=0;r<i;r++)P[r]=L(o.size[r]),I+=P[r];C=I/i}else for(S=L(o.size),r=0;r<i;r++)P[r]=S;if(m)for(r=0;r<i;r++)O[r]=o.line.width[r];else for(S=o.line.width,r=0;r<i;r++)O[r]=S;l.sizeAvg=C}else l.size=L(o&&o.size||10),l.borderSizes=L(o.line.width);return l}function b(t,e,r){var n=e.marker,i={};return r?(r.marker&&r.marker.symbol?i=x(0,s.extendFlat({},n,r.marker)):r.marker&&(r.marker.size&&(i.size=r.marker.size),r.marker.color&&(i.colors=r.marker.color),void 0!==r.marker.opacity&&(i.opacity=r.marker.opacity)),i):i}function _(t,e,r){var n={};if(!r)return n;if(r.textfont){var i={opacity:1,text:e.text,texttemplate:e.texttemplate,textposition:e.textposition,textfont:s.extendFlat({},e.textfont)};r.textfont&&s.extendFlat(i.textfont,r.textfont),n=m(t,i)}return n}function w(t,e,r){var n={capSize:2*e.width*r,lineWidth:e.thickness*r,color:e.color};return e.copy_ystyle&&(n=t.error_y),n}var T=d.SYMBOL_SDF_SIZE,k=d.SYMBOL_SIZE,A=d.SYMBOL_STROKE,M={},S=l.symbolFuncs[0](.05*k);function E(t,e){var r,n,a=t.mx;if(\"circle\"===a)return null;var o=l.symbolNumber(a),s=l.symbolFuncs[o%100],u=!!l.symbolNoDot[o%100],c=!!l.symbolNoFill[o%100],f=p.isDotSymbol(a);if(t.ma&&(a+=\"_\"+t.ma),M[a])return M[a];var h=l.getMarkerAngle(t,e);return r=f&&!u?s(1.1*k,h)+S:s(k,h),n=i(r,{w:T,h:T,viewBox:[-k,-k,k,k],stroke:c?A:-A}),M[a]=n,n||null}t.exports={style:function(t,e){var r,n={marker:void 0,markerSel:void 0,markerUnsel:void 0,line:void 0,fill:void 0,errorX:void 0,errorY:void 0,text:void 0,textSel:void 0,textUnsel:void 0},i=t._context.plotGlPixelRatio;if(!0!==e.visible)return n;if(f.hasText(e)&&(n.text=m(t,e),n.textSel=_(t,e,e.selected),n.textUnsel=_(t,e,e.unselected)),f.hasMarkers(e)&&(n.marker=x(0,e),n.markerSel=b(0,e,e.selected),n.markerUnsel=b(0,e,e.unselected),!e.unselected&&s.isArrayOrTypedArray(e.marker.opacity))){var a=e.marker.opacity;for(n.markerUnsel.opacity=new Array(a.length),r=0;r<a.length;r++)n.markerUnsel.opacity[r]=v*a[r]}if(f.hasLines(e)){n.line={overlay:!0,thickness:e.line.width*i,color:e.line.color,opacity:e.opacity};var o=(d.DASHES[e.line.dash]||[1]).slice();for(r=0;r<o.length;++r)o[r]*=e.line.width*i;n.line.dashes=o}return e.error_x&&e.error_x.visible&&(n.errorX=w(e,e.error_x,i)),e.error_y&&e.error_y.visible&&(n.errorY=w(e,e.error_y,i)),e.fill&&\"none\"!==e.fill&&(n.fill={closed:!0,fill:e.fillcolor,thickness:0}),n},markerStyle:x,markerSelection:b,linePositions:function(t,e,r){var n,i,a=r.length,o=a/2;if(f.hasLines(e)&&o)if(\"hv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i+2],r[2*i+1]));n.push(r[a-2],r[a-1])}else if(\"hvh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var s=(r[2*i]+r[2*i+2])/2;n.push(r[2*i],r[2*i+1],s,r[2*i+1],s,r[2*i+3])}n.push(r[a-2],r[a-1])}else if(\"vhv\"===e.line.shape){for(n=[],i=0;i<o-1;i++)if(isNaN(r[2*i])||isNaN(r[2*i+1])||isNaN(r[2*i+2])||isNaN(r[2*i+3]))isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+1]),n.push(NaN,NaN);else{var l=(r[2*i+1]+r[2*i+3])/2;n.push(r[2*i],r[2*i+1],r[2*i],l,r[2*i+2],l)}n.push(r[a-2],r[a-1])}else if(\"vh\"===e.line.shape){for(n=[],i=0;i<o-1;i++)isNaN(r[2*i])||isNaN(r[2*i+1])?n.push(NaN,NaN,NaN,NaN):(n.push(r[2*i],r[2*i+1]),isNaN(r[2*i+2])||isNaN(r[2*i+3])?n.push(NaN,NaN):n.push(r[2*i],r[2*i+3]));n.push(r[a-2],r[a-1])}else n=r;var u=!1;for(i=0;i<n.length;i++)if(isNaN(n[i])){u=!0;break}var c=u||n.length>d.TOO_MANY_POINTS||f.hasMarkers(e)?\"rect\":\"round\";if(u&&e.connectgaps){var h=n[0],p=n[1];for(i=0;i<n.length;i+=2)isNaN(n[i])||isNaN(n[i+1])?(n[i]=h,n[i+1]=p):(h=n[i],p=n[i+1])}return{join:c,positions:n}},errorBarPositions:function(t,e,r,i,a){var s=o.getComponentMethod(\"errorbars\",\"makeComputeError\"),l=u.getFromId(t,e.xaxis,\"x\"),c=u.getFromId(t,e.yaxis,\"y\"),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,c),h},textPosition:function(t,e,r,n){var i,a=e._length,o={};if(f.hasMarkers(e)){var s=r.font,l=r.align,u=r.baseline;for(o.offset=new Array(a),i=0;i<a;i++){var c=n.sizes?n.sizes[i]:n.size,h=Array.isArray(s)?s[i].size:s.size,p=Array.isArray(l)?l.length>1?l[i]:l[0]:l,d=Array.isArray(u)?u.length>1?u[i]:u[0]:u,v=g[p],y=g[d],m=c?c/.8+1:0,x=-y*m-.5*y;o.offset[i]=[v*m/h,x/h]}}return o}}},47148:function(t,e,r){\"use strict\";var n=r(71828),i=r(73972),a=r(68645),o=r(42341),s=r(47581),l=r(34098),u=r(67513),c=r(73927),f=r(49508),h=r(11058),p=r(28908),d=r(82410);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.hasLines(e)&&(g(\"connectgaps\"),h(t,e,r,v,g),g(\"line.shape\")),l.hasMarkers(e)&&(f(t,e,r,v,g,{noAngleRef:!0,noStandOff:!0}),g(\"marker.line.width\",y||m?1:0)),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}},5345:function(t,e,r){\"use strict\";var n=r(71828),i=r(7901),a=r(37822).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=Array.isArray(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)}}},68101:function(t,e,r){\"use strict\";var n=r(8225);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)}},68645:function(t,e,r){\"use strict\";var n=r(78232);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}},20794:function(t,e,r){\"use strict\";var n=r(73972),i=r(71828),a=r(34603);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=Array.isArray(o.text)?o.text[f]:o.text,h.htx=Array.isArray(o.hovertext)?o.hovertext[f]:o.hovertext,h.data=Array.isArray(o.customdata)?o.customdata[f]:o.customdata,h.tp=Array.isArray(o.textposition)?o.textposition[f]:o.textposition;var p=o.textfont;p&&(h.ts=i.isArrayOrTypedArray(p.size)?p.size[f]:p.size,h.tc=Array.isArray(p.color)?p.color[f]:p.color,h.tf=Array.isArray(p.family)?p.family[f]:p.family);var d=o.marker;d&&(h.ms=i.isArrayOrTypedArray(d.size)?d.size[f]:d.size,h.mo=i.isArrayOrTypedArray(d.opacity)?d.opacity[f]:d.opacity,h.mx=i.isArrayOrTypedArray(d.symbol)?d.symbol[f]:d.symbol,h.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 D=x.c2p(y._yStarts[a]),z=x.c2p(y._yEnds[a]);h=T>=Math.min(D,z)&&T<=Math.max(D,z)?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}},68868:function(t,e,r){\"use strict\";var n=r(72156);n.plot=r(26787),t.exports=n},26787:function(t,e,r){\"use strict\";var n=r(11870),i=r(46075),a=r(3593),o=r(42505),s=r(71828),l=r(64505).selectMode,u=r(79749),c=r(34098),f=r(68687),h=r(5345).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 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a.marker&&\"auto\"!==a.marker.angle&&i.extendFlat(P.layout,{\"icon-rotate\":{type:\"identity\",property:\"angle\"},\"icon-rotation-alignment\":\"map\"}),P.layout[\"icon-allow-overlap\"]=a.marker.allowoverlap,i.extendFlat(P.paint,{\"icon-opacity\":a.opacity*a.marker.opacity,\"icon-color\":a.marker.color})),k)){var D=(a.marker||{}).size,z=f(a.textposition,D);i.extendFlat(P.layout,{\"text-size\":a.textfont.size,\"text-anchor\":z.anchor,\"text-offset\":z.offset}),i.extendFlat(P.paint,{\"text-color\":a.textfont.color,\"text-opacity\":a.opacity})}return O}},76645:function(t,e,r){\"use strict\";var n=r(71828),i=r(34098),a=r(49508),o=r(11058),s=r(82410),l=r(28908),u=r(99181);t.exports=function(t,e,r,c){function f(r,i){return n.coerce(t,e,u,r,i)}function h(r,i){return n.coerce2(t,e,u,r,i)}var p=function(t,e,r){var n=r(\"lon\")||[],i=r(\"lat\")||[],a=Math.min(n.length,i.length);return 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i={},a=r[e.subplot]._subplot.mockAxis,o=t.lonlat;return i.lonLabel=n.tickText(a,a.c2l(o[0]),!0).text,i.latLabel=n.tickText(a,a.c2l(o[1]),!0).text,i}},28178:function(t,e,r){\"use strict\";var n=r(30211),i=r(71828),a=r(34603),o=i.fillText,s=r(50606).BADNUM,l=r(77734).traceLayerPrefix;function u(t,e,r){if(!t.hovertemplate){var n=(e.hi||t.hoverinfo).split(\"+\"),i=-1!==n.indexOf(\"all\"),a=-1!==n.indexOf(\"lon\"),s=-1!==n.indexOf(\"lat\"),l=e.lonlat,u=[];return i||a&&s?u.push(\"(\"+c(l[1])+\", \"+c(l[0])+\")\"):a?u.push(r.lon+c(l[0])):s&&u.push(r.lat+c(l[1])),(i||-1!==n.indexOf(\"text\"))&&o(e,t,u),u.join(\"<br>\")}function c(t){return t+\"°\"}}t.exports={hoverPoints:function(t,e,r){var o=t.cd,c=o[0].trace,f=t.xa,h=t.ya,p=t.subplot,d=[],v=l+c.uid+\"-circle\",g=c.cluster&&c.cluster.enabled;if(g){var y=p.map.queryRenderedFeatures(null,{layers:[v]});d=y.map((function(t){return t.id}))}var m=360*(e>=0?Math.floor((e+180)/360):Math.ceil((e-180)/360)),x=e-m;if(n.getClosest(o,(function(t){var 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n=r(50693),i=r(12663).axisHoverFormat,a=r(5386).f,o=r(2418),s=r(9012),l=r(1426).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]),D=C(A[3]),z=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])),H=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 q=j(e,r,i),G=j(e,r,i+1),Z=j(e,r+1,i),Y=j(e+1,r,i);if(I[q]*U<I[G]*U&&D[q]*V<D[Z]*V&&z[q]*H<z[Y]*H||(N=!0),N)break}if(N)break}if(N)break}return N&&(n.warn(\"Encountered arbitrary coordinates! 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O.lightPosition=[D.x,D.y,D.z],O.ambient=e.lighting.ambient,O.diffuse=e.lighting.diffuse,O.specular=e.lighting.specular,O.roughness=e.lighting.roughness,O.fresnel=e.lighting.fresnel,O.opacity=e.opacity,e._pad=O.tubeScale*e.sizeref*2,O}f.handlePick=function(t){var e=this.scene.fullSceneLayout,r=this.scene.dataScale;function n(t,n){var i=e[n],a=r[u[n]];return i.l2c(t)/a}if(t.object===this.mesh){var i=t.data.position,a=t.data.velocity;return t.traceCoordinate=[n(i[0],\"xaxis\"),n(i[1],\"yaxis\"),n(i[2],\"zaxis\"),n(a[0],\"xaxis\"),n(a[1],\"yaxis\"),n(a[2],\"zaxis\"),t.data.intensity*this.data._normMax,t.data.divergence],t.textLabel=this.data.hovertext||this.data.text,!0}},f.update=function(t){this.data=t;var e=d(this.scene,t);this.mesh.update(e)},f.dispose=function(){this.scene.glplot.remove(this.mesh),this.mesh.dispose()},t.exports=function(t,e){var r=t.glplot.gl,n=d(t,e),a=i(r,n),o=new c(t,e.uid);return o.mesh=a,o.data=e,a._trace=o,t.glplot.add(a),o}},22459:function(t,e,r){\"use 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n=r(9012),i=r(5386).f,a=r(5386).s,o=r(50693),s=r(27670).Y,l=r(34e3),u=r(7055),c=r(1426).extendFlat;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\"},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 path\",\"percent 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s,l=b.getPtId(t.parent);T.each((function(t){if(b.getPtId(t)===l)return s=t}));var u,c=s.children;c.forEach((function(t,e){if(b.getPtId(t)===r)return u=e}));var f=c.length,h=a(s.x0,s.x1);e={rpx0:I,rpx1:I,x0:h(u/f),x1:h((u+1)/f)}}return a(n,e)}(t);return function(t){return Z(e(t))}})),t.select(\"g.slicetext\").attr(\"opacity\",0)})).remove():T.exit().remove(),T.order();var X=null;if(_&&R){var J=b.getPtId(R);T.each((function(t){null===X&&b.getPtId(t)===J&&(X=t.x1)}))}var K=T;function $(t){var e=t.parent,r=F[b.getPtId(e)],n={};if(r){var i=e.children,o=i.indexOf(t),s=i.length,l=a(r.x0,r.x1);n.x0=l(o/s),n.x1=l(o/s)}else n.x0=n.x1=0;return n}_&&(K=K.transition().each(\"end\",(function(){var e=n.select(this);b.setSliceCursor(e,t,{hideOnRoot:!0,hideOnLeaves:!0,isTransitioning:!1})}))),K.each((function(i){var u=n.select(this),f=s.ensureSingle(u,\"path\",\"surface\",(function(t){t.style(\"pointer-events\",h?\"none\":\"all\")}));i.rpx0=q(i.y0),i.rpx1=q(i.y1),i.xmid=(i.x0+i.x1)/2,i.pxmid=G(i.rpx1,i.xmid),i.midangle=-(i.xmid-Math.PI/2),i.startangle=-(i.x0-Math.PI/2),i.stopangle=-(i.x1-Math.PI/2),i.halfangle=.5*Math.min(s.angleDelta(i.x0,i.x1)||Math.PI,Math.PI),i.ring=1-i.rpx0/i.rpx1,i.rInscribed=function(t){return 0===t.rpx0&&s.isFullCircle([t.x0,t.x1])?1:Math.max(0,Math.min(1/(1+1/Math.sin(t.halfangle)),t.ring/2))}(i),_?f.transition().attrTween(\"d\",(function(t){var e=function(t){var e,r=F[b.getPtId(t)],n={x0:t.x0,x1:t.x1,rpx0:t.rpx0,rpx1:t.rpx1};if(r)e=r;else if(R)if(t.parent)if(X){var i=(t.x1>X?2*Math.PI:0)+V;e={x0:i,x1:i}}else e={rpx0:I,rpx1:I},s.extendFlat(e,$(t));else e={rpx0:0,rpx1:0};else e={x0:V,x1:V};return a(e,n)}(t);return function(t){return Z(e(t))}})):f.attr(\"d\",Z),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);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=W(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(X){var i=t.x1>X?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:W(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||{})}},29969:function(t,e,r){\"use strict\";var n=r(39898),i=r(7901),a=r(71828),o=r(72597).resizeText;function s(t,e,r){var n=e.data.data,o=!e.children,s=n.i,l=a.castOption(r,s,\"marker.line.color\")||i.defaultLine,u=a.castOption(r,s,\"marker.line.width\")||0;t.style(\"stroke-width\",u).call(i.fill,n.color).call(i.stroke,l).style(\"opacity\",o?r.leaf.opacity:null)}t.exports={style:function(t){var e=t._fullLayout._sunburstlayer.selectAll(\".trace\");o(t,e,\"sunburst\"),e.each((function(t){var e=n.select(this),r=t[0].trace;e.style(\"opacity\",r.opacity),e.selectAll(\"path.surface\").each((function(t){n.select(this).call(s,t,r)}))}))},styleOne:s}},54532:function(t,e,r){\"use strict\";var n=r(7901),i=r(50693),a=r(12663).axisHoverFormat,o=r(5386).f,s=r(9012),l=r(1426).extendFlat,u=r(30962).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 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n=r(78803);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\"})}},43768:function(t,e,r){\"use strict\";var n=r(9330).gl_surface3d,i=r(9330).ndarray,a=r(9330).ndarray_linear_interpolate.d2,o=r(824),s=r(43907),l=r(71828).isArrayOrTypedArray,u=r(81697).parseColorScale,c=r(78614),f=r(21081).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 Array.isArray(o)&&o[i]&&void 0!==o[i][n]?t.textLabel=o[i][n]:t.textLabel=o||\"\",t.data.dataCoordinate=t.dataCoordinate.slice(),this.surface.highlight(t.data),this.scene.glplot.spikes.position=t.dataCoordinate,!0}};var d=[2,3,5,7,11,13,17,19,23,29,31,37,41,43,47,53,59,61,67,71,73,79,83,89,97,101,103,107,109,113,127,131,137,139,149,151,157,163,167,173,179,181,191,193,197,199,211,223,227,229,233,239,241,251,257,263,269,271,277,281,283,293,307,311,313,317,331,337,347,349,353,359,367,373,379,383,389,397,401,409,419,421,431,433,439,443,449,457,461,463,467,479,487,491,499,503,509,521,523,541,547,557,563,569,571,577,587,593,599,601,607,613,617,619,631,641,643,647,653,659,661,673,677,683,691,701,709,719,727,733,739,743,751,757,761,769,773,787,797,809,811,821,823,827,829,839,853,857,859,863,877,881,883,887,907,911,919,929,937,941,947,953,967,971,977,983,991,997,1009,1013,1019,1021,1031,1033,1039,1049,1051,1061,1063,1069,1087,1091,1093,1097,1103,1109,1117,1123,1129,1151,1153,1163,1171,1181,1187,1193,1201,1213,1217,1223,1229,1231,1237,1249,1259,1277,1279,1283,1289,1291,1297,1301,1303,1307,1319,1321,1327,1361,1367,1373,1381,1399,1409,1423,1427,1429,1433,1439,1447,1451,1453,1459,1471,1481,1483,1487,1489,1493,1499,1511,1523,1531,1543,1549,1553,1559,1567,1571,1579,1583,1597,1601,1607,1609,1613,1619,1621,1627,1637,1657,1663,1667,1669,1693,1697,1699,1709,1721,1723,1733,1741,1747,1753,1759,1777,1783,1787,1789,1801,1811,1823,1831,1847,1861,1867,1871,1873,1877,1879,1889,1901,1907,1913,1931,1933,1949,1951,1973,1979,1987,1993,1997,1999,2003,2011,2017,2027,2029,2039,2053,2063,2069,2081,2083,2087,2089,2099,2111,2113,2129,2131,2137,2141,2143,2153,2161,2179,2203,2207,2213,2221,2237,2239,2243,2251,2267,2269,2273,2281,2287,2293,2297,2309,2311,2333,2339,2341,2347,2351,2357,2371,2377,2381,2383,2389,2393,2399,2411,2417,2423,2437,2441,2447,2459,2467,2473,2477,2503,2521,2531,2539,2543,2549,2551,2557,2579,2591,2593,2609,2617,2621,2633,2647,2657,2659,2663,2671,2677,2683,2687,2689,2693,2699,2707,2711,2713,2719,2729,2731,2741,2749,2753,2767,2777,2789,2791,2797,2801,2803,2819,2833,2837,2843,2851,2857,2861,2879,2887,2897,2903,2909,2917,2927,2939,2953,2957,2963,2969,2971,2999];function 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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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n=r(50215),i=r(1426).extendFlat,a=r(30962).overrideAll,o=r(41940),s=r(27670).Y,l=r(12663).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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i=0|t.words[0],a=0|e.words[0],o=i*a,s=67108863&o,l=o/67108864|0;r.words[0]=s;for(var u=1;u<n;u++){for(var c=l>>>26,f=67108863&l,h=Math.min(u,e.length-1),p=Math.max(0,u-t.length+1);p<=h;p++){var d=u-p|0;c+=(o=(i=0|t.words[d])*(a=0|e.words[p])+f)/67108864|0,f=67108863&o}r.words[u]=0|f,l=0|c}return 0!==l?r.words[u]=0|l:r.length--,r.strip()}a.prototype.toString=function(t,e){var r;if(e=0|e||1,16===(t=t||10)||\"hex\"===t){r=\"\";for(var i=0,a=0,o=0;o<this.length;o++){var s=this.words[o],l=(16777215&(s<<i|a)).toString(16);r=0!=(a=s>>>24-i&16777215)||o!==this.length-1?c[6-l.length]+l+r:l+r,(i+=2)>=26&&(i-=26,o--)}for(0!==a&&(r=a.toString(16)+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}if(t===(0|t)&&t>=2&&t<=36){var u=f[t],p=h[t];r=\"\";var d=this.clone();for(d.negative=0;!d.isZero();){var v=d.modn(p).toString(t);r=(d=d.idivn(p)).isZero()?v+r:c[u-v.length]+v+r}for(this.isZero()&&(r=\"0\"+r);r.length%e!=0;)r=\"0\"+r;return 0!==this.negative&&(r=\"-\"+r),r}n(!1,\"Base 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32-Math.clz32(t)}: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,D=0|o[8],z=8191&D,R=D>>>13,F=0|o[9],B=8191&F,N=F>>>13,j=0|s[0],U=8191&j,V=j>>>13,H=0|s[1],q=8191&H,G=H>>>13,Z=0|s[2],Y=8191&Z,W=Z>>>13,X=0|s[3],J=8191&X,K=X>>>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,q)|0)|0)+((8191&(i=(i=i+Math.imul(f,G)|0)+Math.imul(h,q)|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,q)|0,i=(i=i+Math.imul(d,G)|0)+Math.imul(v,q)|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,W)|0)+Math.imul(h,Y)|0))<<13)|0;u=((a=a+Math.imul(h,W)|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,q)|0,i=(i=i+Math.imul(y,G)|0)+Math.imul(m,q)|0,a=a+Math.imul(m,G)|0,n=n+Math.imul(d,Y)|0,i=(i=i+Math.imul(d,W)|0)+Math.imul(v,Y)|0,a=a+Math.imul(v,W)|0;var xt=(u+(n=n+Math.imul(f,J)|0)|0)+((8191&(i=(i=i+Math.imul(f,K)|0)+Math.imul(h,J)|0))<<13)|0;u=((a=a+Math.imul(h,K)|0)+(i>>>13)|0)+(xt>>>26)|0,xt&=67108863,n=Math.imul(T,U),i=(i=Math.imul(T,V))+Math.imul(k,U)|0,a=Math.imul(k,V),n=n+Math.imul(b,q)|0,i=(i=i+Math.imul(b,G)|0)+Math.imul(_,q)|0,a=a+Math.imul(_,G)|0,n=n+Math.imul(y,Y)|0,i=(i=i+Math.imul(y,W)|0)+Math.imul(m,Y)|0,a=a+Math.imul(m,W)|0,n=n+Math.imul(d,J)|0,i=(i=i+Math.imul(d,K)|0)+Math.imul(v,J)|0,a=a+Math.imul(v,K)|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,q)|0,i=(i=i+Math.imul(T,G)|0)+Math.imul(k,q)|0,a=a+Math.imul(k,G)|0,n=n+Math.imul(b,Y)|0,i=(i=i+Math.imul(b,W)|0)+Math.imul(_,Y)|0,a=a+Math.imul(_,W)|0,n=n+Math.imul(y,J)|0,i=(i=i+Math.imul(y,K)|0)+Math.imul(m,J)|0,a=a+Math.imul(m,K)|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,q)|0,i=(i=i+Math.imul(M,G)|0)+Math.imul(S,q)|0,a=a+Math.imul(S,G)|0,n=n+Math.imul(T,Y)|0,i=(i=i+Math.imul(T,W)|0)+Math.imul(k,Y)|0,a=a+Math.imul(k,W)|0,n=n+Math.imul(b,J)|0,i=(i=i+Math.imul(b,K)|0)+Math.imul(_,J)|0,a=a+Math.imul(_,K)|0,n=n+Math.imul(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,q)|0,i=(i=i+Math.imul(L,G)|0)+Math.imul(C,q)|0,a=a+Math.imul(C,G)|0,n=n+Math.imul(M,Y)|0,i=(i=i+Math.imul(M,W)|0)+Math.imul(S,Y)|0,a=a+Math.imul(S,W)|0,n=n+Math.imul(T,J)|0,i=(i=i+Math.imul(T,K)|0)+Math.imul(k,J)|0,a=a+Math.imul(k,K)|0,n=n+Math.imul(b,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(z,U),i=(i=Math.imul(z,V))+Math.imul(R,U)|0,a=Math.imul(R,V),n=n+Math.imul(O,q)|0,i=(i=i+Math.imul(O,G)|0)+Math.imul(I,q)|0,a=a+Math.imul(I,G)|0,n=n+Math.imul(L,Y)|0,i=(i=i+Math.imul(L,W)|0)+Math.imul(C,Y)|0,a=a+Math.imul(C,W)|0,n=n+Math.imul(M,J)|0,i=(i=i+Math.imul(M,K)|0)+Math.imul(S,J)|0,a=a+Math.imul(S,K)|0,n=n+Math.imul(T,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(z,q)|0,i=(i=i+Math.imul(z,G)|0)+Math.imul(R,q)|0,a=a+Math.imul(R,G)|0,n=n+Math.imul(O,Y)|0,i=(i=i+Math.imul(O,W)|0)+Math.imul(I,Y)|0,a=a+Math.imul(I,W)|0,n=n+Math.imul(L,J)|0,i=(i=i+Math.imul(L,K)|0)+Math.imul(C,J)|0,a=a+Math.imul(C,K)|0,n=n+Math.imul(M,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,q),i=(i=Math.imul(B,G))+Math.imul(N,q)|0,a=Math.imul(N,G),n=n+Math.imul(z,Y)|0,i=(i=i+Math.imul(z,W)|0)+Math.imul(R,Y)|0,a=a+Math.imul(R,W)|0,n=n+Math.imul(O,J)|0,i=(i=i+Math.imul(O,K)|0)+Math.imul(I,J)|0,a=a+Math.imul(I,K)|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,W))+Math.imul(N,Y)|0,a=Math.imul(N,W),n=n+Math.imul(z,J)|0,i=(i=i+Math.imul(z,K)|0)+Math.imul(R,J)|0,a=a+Math.imul(R,K)|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,J),i=(i=Math.imul(B,K))+Math.imul(N,J)|0,a=Math.imul(N,K),n=n+Math.imul(z,Q)|0,i=(i=i+Math.imul(z,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(z,rt)|0,i=(i=i+Math.imul(z,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(z,at)|0,i=(i=i+Math.imul(z,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(z,lt)|0,i=(i=i+Math.imul(z,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(z,ft)|0,i=(i=i+Math.imul(z,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(z,dt)|0)|0)+((8191&(i=(i=i+Math.imul(z,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 Dt=(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)+(Dt>>>26)|0,Dt&=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]=Dt,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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l=e;l>0;--l)r.push(a(o[l-1],s[l-1],arguments[l])),n.push(0)}},s.move=function(t){var e=this.lastT(),r=this.dimension;if(!(t<=e||arguments.length!==r+1)){var n=this._state,i=this._velocity,o=n.length-this.dimension,s=this.bounds,l=s[0],u=s[1],c=t-e,f=c>1e-6?1/c:0;this._time.push(t);for(var h=r;h>0;--h){var p=arguments[h];n.push(a(l[h-1],u[h-1],n[o++]+p)),i.push(p*f)}}},s.idle=function(t){var e=this.lastT();if(!(t<e)){var r=this.dimension,n=this._state,i=this._velocity,o=n.length-r,s=this.bounds,l=s[0],u=s[1],c=t-e;this._time.push(t);for(var f=r-1;f>=0;--f)n.push(a(l[f],u[f],n[o]+c*i[o])),i.push(0),o+=1}}},7080:function(t){\"use strict\";function e(t,e,r,n,i,a){this._color=t,this.key=e,this.value=r,this.left=n,this.right=i,this._count=a}function r(t){return new e(t._color,t.key,t.value,t.left,t.right,t._count)}function n(t,r){return new e(t,r.key,r.value,r.left,r.right,r._count)}function i(t){t._count=1+(t.left?t.left._count:0)+(t.right?t.right._count:0)}function 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c=o(t,s.key);l.push(s),u.push(c),s=c<=0?s.left:s.right}l.push(new e(0,t,r,null,null,1));for(var f=l.length-2;f>=0;--f)s=l[f],u[f]<=0?l[f]=new e(s._color,s.key,s.value,l[f+1],s.right,s._count+1):l[f]=new e(s._color,s.key,s.value,s.left,l[f+1],s._count+1);for(f=l.length-1;f>1;--f){var h=l[f-1];if(s=l[f],1===h._color||1===s._color)break;var p=l[f-2];if(p.left===h)if(h.left===s){if(!(d=p.right)||0!==d._color){p._color=0,p.left=h.right,h._color=1,h.right=p,l[f-2]=h,l[f-1]=s,i(p),i(h),f>=3&&((v=l[f-3]).left===p?v.left=h:v.right=h);break}h._color=1,p.right=n(1,d),p._color=0,f-=1}else{if(!(d=p.right)||0!==d._color){h.right=s.left,p._color=0,p.left=s.right,s._color=1,s.left=h,s.right=p,l[f-2]=s,l[f-1]=h,i(p),i(h),i(s),f>=3&&((v=l[f-3]).left===p?v.left=s:v.right=s);break}h._color=1,p.right=n(1,d),p._color=0,f-=1}else 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 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e(s._color,s.key,s.value,s.left,o[l+1],s._count);if((s=o[o.length-1]).left&&s.right){var 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 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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.tickSize=[12,12,12],this.tickAngle=[0,0,0],this.tickAlign=[\"auto\",\"auto\",\"auto\"],this.tickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.tickPad=[10,10,10],this.lastCubeProps={cubeEdges:[0,0,0],axis:[0,0,0]},this.labels=[\"x\",\"y\",\"z\"],this.labelEnable=[!0,!0,!0],this.labelFont=\"sans-serif\",this.labelSize=[20,20,20],this.labelAngle=[0,0,0],this.labelAlign=[\"auto\",\"auto\",\"auto\"],this.labelColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.labelPad=[10,10,10],this.lineEnable=[!0,!0,!0],this.lineMirror=[!1,!1,!1],this.lineWidth=[1,1,1],this.lineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.lineTickEnable=[!0,!0,!0],this.lineTickMirror=[!1,!1,!1],this.lineTickLength=[0,0,0],this.lineTickWidth=[1,1,1],this.lineTickColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.gridEnable=[!0,!0,!0],this.gridWidth=[1,1,1],this.gridColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroEnable=[!0,!0,!0],this.zeroLineColor=[[0,0,0,1],[0,0,0,1],[0,0,0,1]],this.zeroLineWidth=[2,2,2],this.backgroundEnable=[!1,!1,!1],this.backgroundColor=[[.8,.8,.8,.5],[.8,.8,.8,.5],[.8,.8,.8,.5]],this._firstInit=!0,this._text=null,this._lines=null,this._background=a(t)}var f=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),a(\"tickSize\"),a(\"tickAngle\"),a(\"tickPad\"),u(\"tickColor\");var v=l(\"labels\");l(\"labelFont\")&&(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\"),this._text?this._text&&(v||c)&&this._text.update(this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont):this._text=n(this.gl,this.bounds,this.labels,this.labelFont,this.ticks,this.tickFont),this._lines&&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,D=(A+1+(1^O))%3;this.gridEnable[I]&&this._lines.drawGrid(I,D,this.bounds,P,this.gridColor[I],this.gridWidth[I]*this.pixelRatio)}for(O=0;O<2;++O)I=(A+1+O)%3,D=(A+1+(1^O))%3,this.zeroEnable[D]&&Math.min(a[0][D],a[1][D])<=0&&Math.max(a[0][D],a[1][D])>=0&&this._lines.drawZero(I,D,this.bounds,P,this.zeroLineColor[D],this.zeroLineWidth[D]*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 z=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];z[O]*=F[O]*B,R[O]*=F[O]*B}this.lineTickEnable[A]&&this._lines.drawAxisTicks(A,M[A].primalOffset,z,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,H=u(x,M[A].primalOffset);for(O=0;O<3;++O)this.lineTickEnable[A]&&(H[O]+=k*U[O]*Math.max(this.lineTickLength[O],0)/r[5*O]);var q=[0,0,0];if(q[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)H[O]+=k*U[O]*this.tickPad[O]/r[5*O];this._text.drawTicks(A,this.tickSize[A],this.tickAngle[A],H,this.tickColor[A],q,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)H[O]+=k*U[O]*this.labelPad[O]/r[5*O];H[A]+=.5*(a[0][A]+a[1][A]),this._text.drawLabel(A,this.labelSize[A],this.labelAngle[A],H,this.labelColor[A],[0,0,0],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}},1011: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(5827),i=r(2944),a=r(1943).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()}},2864: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,D=d([l[I],l[P],l[O],l[I+(1<<M)+(1<<S)]]);C?E=D:L=D}L>E&&(w|=1<<A)}}}var z=7^w,R=-1;for(x=0;x<8;++x)x!==w&&x!==z&&(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!==z&&(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!==z&&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===z?(U=7^F,j[n.log2(B^U)]=U&B):j[n.log2(F^U)]=U&F;var V=g,H=w;for(A=0;A<3;++A)V[A]=H&1<<A?-1:1;return y};var n=r(2288),i=r(104),a=r(4670),o=r(417),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}},1681: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(5827),i=r(2944),a=r(1943).j,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()}},1943:function(t,e,r){\"use strict\";var n=r(6832),i=r(5158),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.j=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.f=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\"}])}},9557:function(t,e,r){\"use strict\";t.exports=function(t,e,r,i,o,l){var u=n(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,i,o,l),p};var n=r(5827),a=r(2944),o=r(875),s=r(1943).f,l=window||i.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=u[r];l||(l=u[r]={});var c=l[e];c||(c=l[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,textAlign:\"center\",textBaseline:\"middle\",lineSpacing:i,styletags:s}));for(var f=(n||12)/12,h=c.positions,p=c.cells,d=0,v=p.length;d<v;++d)for(var g=p[d],y=2;y>=0;--y){var m=h[g[y]];a.push(f*m[0],-f*m[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)n[d][v].text&&s(n[d][v].x,n[d][v].text,n[d][v].font||i,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()}},8468: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}},2771: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(5795),i=r(4670),a=r(2864),o=r(104),s=r(2142),l=r(6342),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]},5827:function(t,e,r){\"use strict\";var n=r(5306),i=r(7498),a=r(5050),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}},1140:function(t,e,r){\"use strict\";var n=r(2858);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=0;m<r.length;m++){var x=r[m];s=Math.min(x[0],s),l=Math.max(x[0],l),u=Math.min(x[1],u),c=Math.max(x[1],c),f=Math.min(x[2],f),h=Math.max(x[2],h);var b=i[m];if(n.length(b)>o&&(o=n.length(b)),m){var _=2*n.distance(p,x)/(n.length(d)+n.length(b));_?(g=Math.min(g,_),y=!1):y=!0}y||(p=x,d=b),v.push(b)}var w=[s,u,f],T=[l,c,h];e&&(e[0]=w,e[1]=T),0===o&&(o=1);var k=1/o;isFinite(g)||(g=1),a.vectorScale=g;var A=t.coneSize||.5;t.absoluteConeSize&&(A=t.absoluteConeSize*k),a.coneScale=A,m=0;for(var M=0;m<r.length;m++)for(var S=(x=r[m])[0],E=x[1],L=x[2],C=v[m],P=n.length(C)*k,O=0;O<8;O++){a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.positions.push([S,E,L,M++]),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vectors.push(C),a.vertexIntensity.push(P,P,P),a.vertexIntensity.push(P,P,P);var I=a.positions.length;a.cells.push([I-6,I-5,I-4],[I-3,I-2,I-1])}return a};var i=r(7234);t.exports.createMesh=r(5028),t.exports.createConeMesh=function(e,r){return t.exports.createMesh(e,r,{shaders:i,traceType:\"cone\"})}},5028:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(104),l=r(7437),u=r(5050),c=r(9156),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;function d(t,e){var r=n(t,e.meshShader.vertex,e.meshShader.fragment,null,e.meshShader.attributes);return r.attributes.position.location=0,r.attributes.color.location=2,r.attributes.uv.location=3,r.attributes.vector.location=4,r}function v(t,e){var r=n(t,e.pickShader.vertex,e.pickShader.fragment,null,e.pickShader.attributes);return r.attributes.position.location=0,r.attributes.id.location=1,r.attributes.vector.location=4,r}p.isOpaque=function(){return this.opacity>=1},p.isTransparent=function(){return this.opacity<1},p.pickSlots=1,p.setPickBase=function(t){this.pickId=t},p.update=function(t){t=t||{};var e=this.gl;this.dirty=!0,\"lightPosition\"in t&&(this.lightPosition=t.lightPosition),\"opacity\"in t&&(this.opacity=t.opacity),\"ambient\"in t&&(this.ambientLight=t.ambient),\"diffuse\"in t&&(this.diffuseLight=t.diffuse),\"specular\"in t&&(this.specularLight=t.specular),\"roughness\"in t&&(this.roughness=t.roughness),\"fresnel\"in t&&(this.fresnel=t.fresnel),void 0!==t.tubeScale&&(this.tubeScale=t.tubeScale),void 0!==t.vectorScale&&(this.vectorScale=t.vectorScale),void 0!==t.coneScale&&(this.coneScale=t.coneScale),void 0!==t.coneOffset&&(this.coneOffset=t.coneOffset),t.colormap&&(this.texture.shape=[256,256],this.texture.minFilter=e.LINEAR_MIPMAP_LINEAR,this.texture.magFilter=e.LINEAR,this.texture.setPixels(function(t){for(var e=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 n=r.shaders;1===arguments.length&&(t=(e=t).gl);var s=d(t,n),l=v(t,n),c=o(t,u(new Uint8Array([255,255,255,255]),[1,1,4]));c.generateMipmap(),c.minFilter=t.LINEAR_MIPMAP_LINEAR,c.magFilter=t.LINEAR;var f=i(t),p=i(t),g=i(t),y=i(t),m=i(t),x=a(t,[{buffer:f,type:t.FLOAT,size:4},{buffer:m,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:g,type:t.FLOAT,size:4},{buffer:y,type:t.FLOAT,size:2},{buffer:p,type:t.FLOAT,size:4}]),b=new h(t,c,s,l,f,p,m,g,y,x,r.traceType||\"cone\");return b.update(e),b}},7234:function(t,e,r){var n=r(6832),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, 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RESSED_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\"}},6603: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\"}])}},4234:function(t,e,r){\"use strict\";var n=r(8931);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)}}},3530:function(t,e,r){var n=r(8974).sprintf,i=r(6603),a=r(9365),o=r(8008);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]){if(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()}}},6386: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(5070),i=r(9560),a=r(5306),o=r(5158),s=r(5827),l=r(1292);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 D,z;l?(D=m*(r[I]-u),z=m*(r[I+1]-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),z=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],H=s[l?(C+V)*b+(I+U):C*b+I],q=n.le(d,H);if(q<0)F=v[0],B=v[1],N=v[2],j=v[3];else if(q===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=(H-d[q])/(d[q+1]-d[q]),Z=1-G,Y=4*q,W=4*(q+1);F=Z*v[Y]+G*v[W],B=Z*v[Y+1]+G*v[W+1],N=Z*v[Y+2]+G*v[W+2],j=Z*v[Y+3]+G*v[W+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*D+.5*z,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)}},1292:function(t,e,r){\"use strict\";var n=r(6832);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\"])}},248:function(t,e,r){var n=r(6832),i=r(5158),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)}},6086: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(5827),i=r(2944),a=r(8931),o=new Uint8Array(4),s=new Float32Array(o.buffer),l=r(5070),u=r(5050),c=r(248),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]}},2056:function(t,e,r){var n=r(6832),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\"}]}},8116:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(2944),o=r(8931),s=r(115),l=r(104),u=r(7437),c=r(5050),f=r(9156),h=r(7212),p=r(5306),d=r(2056),v=r(4340),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,g.vertex,g.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e.attributes.normal.location=4,e}function S(t){var e=n(t,y.vertex,y.fragment);return e.attributes.position.location=0,e.attributes.color.location=2,e.attributes.uv.location=3,e}function E(t){var e=n(t,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 L(t){var e=n(t,x.vertex,x.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e}function C(t){var e=n(t,b.vertex,b.fragment);return e.attributes.position.location=0,e.attributes.id.location=1,e.attributes.pointSize.location=4,e}function P(t){var e=n(t,_.vertex,_.fragment);return e.attributes.position.location=0,e}k.isOpaque=function(){return!this.hasAlpha},k.isTransparent=function(){return this.hasAlpha},k.pickSlots=1,k.setPickBase=function(t){this.pickId=t},k.highlight=function(t){if(t&&this.contourEnable){for(var e=h(this.cells,this.intensity,t.intensity),r=e.cells,n=e.vertexIds,i=e.vertexWeights,a=r.length,o=p.mallocFloat32(6*a),s=0,l=0;l<a;++l)for(var 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,D=1/0,z=-1/0;if(!C&&!O)if(P)if(t.vertexIntensityBounds)D=+t.vertexIntensityBounds[0],z=+t.vertexIntensityBounds[1];else for(var R=0;R<P.length;++R){var F=P[R];D=Math.min(D,F),z=Math.max(z,F)}else if(I)if(t.cellIntensityBounds)D=+t.cellIntensityBounds[0],z=+t.cellIntensityBounds[1];else for(R=0;R<I.length;++R)F=I[R],D=Math.min(D,F),z=Math.max(z,F);else for(R=0;R<n.length;++R)F=n[R][2],D=Math.min(D,F),z=Math.max(z,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,H=0,q=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]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?m.push(W[0],W[1],W[2],this.opacity):(m.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],x.push(X[0],X[1]),B?b.push(B[Y]):b.push(N),_.push(R),q+=1;break;case 2:for(U=0;U<2;++U){j=n[Y=G[U]];for(var Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t}for(U=0;U<2;++U)j=n[Y=G[U]],p.push(j[0],j[1],j[2]),W=S?S[Y]:E?E[R]:L,this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?d.push(W[0],W[1],W[2],this.opacity):(d.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],v.push(X[0],X[1]),g.push(R);H+=1;break;case 3:for(U=0;U<3;++U)for(j=n[Y=G[U]],Z=0;Z<3;++Z)if(isNaN(j[Z])||!isFinite(j[Z]))continue t;for(U=0;U<3;++U){var Y,W,X,J;j=n[Y=G[2-U]],i.push(j[0],j[1],j[2]),(W=S?S[Y]:E?E[R]:L)?this.opacityscale&&P?a.push(W[0],W[1],W[2],this.opacity*A((P[Y]-D)/(z-D),this.opacityscale)):3===W.length?a.push(W[0],W[1],W[2],this.opacity):(a.push(W[0],W[1],W[2],W[3]*this.opacity),W[3]<1&&(this.hasAlpha=!0)):a.push(.5,.5,.5,1),X=C?C[Y]:P?[(P[Y]-D)/(z-D),0]:O?O[R]:I?[(I[R]-D)/(z-D),0]:[(j[2]-D)/(z-D),0],u.push(X[0],X[1]),J=w?w[Y]:T[R],l.push(J[0],J[1],J[2]),h.push(R)}V+=1}}this.pointCount=q,this.edgeCount=H,this.triangleCount=V,this.pointPositions.update(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){1===arguments.length&&(t=(e=t).gl);var r=t.getExtension(\"OES_standard_derivatives\")||t.getExtension(\"MOZ_OES_standard_derivatives\")||t.getExtension(\"WEBKIT_OES_standard_derivatives\");if(!r)throw new Error(\"derivatives not supported\");var n=M(t),s=S(t),l=E(t),u=L(t),f=C(t),h=P(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),g=i(t),y=i(t),m=i(t),x=a(t,[{buffer:d,type:t.FLOAT,size:3},{buffer:m,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:v,type:t.FLOAT,size:4},{buffer:g,type:t.FLOAT,size:2},{buffer:y,type:t.FLOAT,size:3}]),b=i(t),_=i(t),w=i(t),k=i(t),A=a(t,[{buffer:b,type:t.FLOAT,size:3},{buffer:k,type:t.UNSIGNED_BYTE,size:4,normalized:!0},{buffer:_,type:t.FLOAT,size:4},{buffer:w,type:t.FLOAT,size:2}]),O=i(t),I=i(t),D=i(t),z=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:D,type:t.FLOAT,size:2},{buffer:z,type:t.FLOAT,size:1}]),B=i(t),N=a(t,[{buffer:B,type:t.FLOAT,size:3}]),j=new T(t,p,n,s,l,u,f,h,d,m,v,g,y,x,b,k,_,w,A,O,R,I,D,z,F,B,N);return j.update(e),j}},4554: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(5827),i=r(5158),a=r(2709);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()}},3016: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(5827),i=r(5158),a=r(5070),o=r(2709);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),D=0+6*O,z=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,z&&(S.color=C[0],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z)),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,z&&(S.color=C[2],S.tickScale=o,S.dataAxis=r,S.screenOffset=i,h.drawArrays(h.TRIANGLES,D,z))}}(),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()}},1154: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(5827),i=r(5158),a=r(2709);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()}},2709:function(t,e,r){\"use strict\";var n=r(6832),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\"])}},5613: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(5827),i=r(5158),a=r(6946),o=r(5070),s=r(2709);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\";i=p.fontSize||12;for(var y=1/(u[o+2]-u[o]),m=u[o],x=v.split(\"\\n\"),b=0;b<x.length;b++)for(n=a(g,x[b]).data,r=0;r<n.length;r+=2)s.push(n[r]*i,-n[r+1]*i-b*i*1.2,(d-m)*y);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],{textAlign:\"center\"}).data,i=t.labelSize[o],e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.labelCount[o]=Math.floor(s.length/3)-this.labelOffset[o]}for(this.titleOffset=Math.floor(s.length/3),n=a(t.titleFont,t.title).data,i=t.titleSize,e=0;e<n.length;e+=2)s.push(n[e]*i,-n[e+1]*i,0);this.titleCount=Math.floor(s.length/3)-this.titleOffset,this.vbo.update(s)},v.dispose=function(){this.vbo.dispose(),this.shader.dispose()}},2117: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(2611),i=r(3016),a=r(5613),o=r(1154),s=r(4554);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\"],title:t.title||\"\",titleSize:t.titleSize||18,titleFont:t.titleFont||\"sans-serif\"}),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}}},4296: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(8161),i=r(1152),a=r(6145),o=r(6475),s=r(2565),l=r(5233)},8245:function(t,e,r){var n=r(6832),i=r(5158),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\"}])}},1059:function(t,e,r){\"use strict\";var n=r(4296),i=r(7453),a=r(2771),o=r(6496),s=r(2611),l=r(4234),u=r(8126),c=r(6145),f=r(1120),h=r(5268),p=r(8245),d=r(2321)({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,D={view:null,projection:new Array(16),model:new Array(16),_ortho:!1},z=(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:z,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:D,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,z);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]],H=[V[0].slice(),V[1].slice()];function q(){if(!U()){N();var t=F.camera.tick();D.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||H[0][p]!==d[0][p]||H[1][p]!==d[1][p],H[0][p]=d[0][p],H[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(z[0]=T,z[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(D))}i.end()}}}()),F.axesPixels=a(F.axes,D,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(D)),S.axes=A,x.object&&S.draw(D),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(D),C.isTransparent&&C.isTransparent()&&(M=!0);if(M){for(b.shape=z,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(D),o=0;o<e;++o)(C=E[o]).isOpaque&&C.isOpaque()&&C.draw(D);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(D),o=0;o<e;++o){var C;(C=E[o]).isTransparent&&C.isTransparent()&&C.drawTransparent(D)}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||(q(),requestAnimationFrame(t))}(),F.redraw=function(){F._stopped||(O=!0,q())},F},createCamera:n}},8023:function(t,e,r){var n=r(6832);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\"])},8271:function(t,e,r){\"use strict\";var n=r(5158),i=r(5827),a=r(5306),o=r(8023);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]]}}},6093: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}},8240:function(t){\"use strict\";t.exports=function(t){return t||0===t?t.toString():\"\"}},4123:function(t,e,r){\"use strict\";var n=r(875);t.exports=function(t,e,r){var a=i[e];if(a||(a=i[e]={}),t in a)return a[t];var o={textAlign:\"center\",textBaseline:\"middle\",lineHeight:1,font:e,lineSpacing:1.25,styletags:{breaklines:!0,bolds:!0,italics:!0,subscripts:!0,superscripts:!0},triangles:!0},s=n(t,o);o.triangles=!1;var l,u,c=n(t,o);if(r&&1!==r){for(l=0;l<s.positions.length;++l)for(u=0;u<s.positions[l].length;++u)s.positions[l][u]/=r;for(l=0;l<c.positions.length;++l)for(u=0;u<c.positions[l].length;++u)c.positions[l][u]/=r}var f=[[1/0,1/0],[-1/0,-1/0]],h=c.positions.length;for(l=0;l<h;++l){var p=c.positions[l];for(u=0;u<2;++u)f[0][u]=Math.min(f[0][u],p[u]),f[1][u]=Math.max(f[1][u],p[u])}return a[t]=[s,c,f]};var i={}},9282:function(t,e,r){var n=r(5158),i=r(6832),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)}},2182:function(t,e,r){\"use strict\";var n=r(3596),i=r(5827),a=r(2944),o=r(5306),s=r(104),l=r(9282),u=r(4123),c=r(8240),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 D=p(0,0,0,S(_,O)),z=p(0,0,0,S(w,I));if(Math.abs(D[1])>Math.abs(z[1])){var R=D;D=z,z=R,R=O,O=I,I=R;var F=C;C=P,P=F}D[0]<0&&(O[C]=-1),z[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 o=!0;n(a)&&(a=\"▼\",o=!1);var s=u(a,r,i);return{mesh:s[0],lines:s[1],bounds:s[2],visible:o}}y.draw=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!1,!1)},y.drawTransparent=function(t){C(this.useOrtho?this.orthoShader:this.shader,this.projectShader,this,t,this.pixelRatio,!0,!1)},y.drawPick=function(t){C(this.useOrtho?this.pickOrthoShader:this.pickPerspectiveShader,this.pickProjectShader,this,t,1,!0,!0)},y.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=t.value[2]+(t.value[1]<<8)+(t.value[0]<<16);if(e>=this.pointCount||e<0)return null;var r=this.points[e],n=this._selectResult;n.index=e;for(var i=0;i<3;++i)n.position[i]=n.dataCoordinate[i]=r[i];return n},y.highlight=function(t){if(t){var e=t.index,r=255&e,n=e>>8&255,i=e>>16&255;this.highlightId=[r/255,n/255,i/255,0]}else this.highlightId=[1,1,1,1]},y.update=function(t){if(\"perspective\"in(t=t||{})&&(this.useOrtho=!t.perspective),\"orthographic\"in t&&(this.useOrtho=!!t.orthographic),\"lineWidth\"in t&&(this.lineWidth=t.lineWidth),\"project\"in t)if(Array.isArray(t.project))this.axesProject=t.project;else{var e=!!t.project;this.axesProject=[e,e,e]}if(\"projectScale\"in t)if(Array.isArray(t.projectScale))this.projectScale=t.projectScale.slice();else{var r=+t.projectScale;this.projectScale=[r,r,r]}if(this.projectHasAlpha=!1,\"projectOpacity\"in t){Array.isArray(t.projectOpacity)?this.projectOpacity=t.projectOpacity.slice():(r=+t.projectOpacity,this.projectOpacity=[r,r,r]);for(var n=0;n<3;++n)this.projectOpacity[n]=v(this.projectOpacity[n]),this.projectOpacity[n]<1&&(this.projectHasAlpha=!0)}this.hasAlpha=!1,\"opacity\"in t&&(this.opacity=v(t.opacity),this.opacity<1&&(this.hasAlpha=!0)),this.dirty=!0;var i,a,s=t.position,l=t.font||\"normal\",u=t.alignment||[0,0];if(2===u.length)i=u[0],a=u[1];else for(i=[],a=[],n=0;n<u.length;++n)i[n]=u[n][0],a[n]=u[n][1];var 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tt=J[K[$]];C[2*I]=V*(q*tt[0]-G*tt[1]+W[0]),C[2*I+1]=V*(G*tt[0]+q*tt[1]+W[1]),I+=1}for(X=A.edges,J=A.positions,T=0;T<X.length;++T)for(K=X[T],$=0;$<2;++$){for(Q=0;Q<3;++Q)E[3*D+Q]=w[Q];for(Q=0;Q<4;++Q)L[4*D+Q]=R[Q];O[D]=m,tt=J[K[$]],C[2*D]=V*(q*tt[0]-G*tt[1]+W[0]),C[2*D+1]=V*(G*tt[0]+q*tt[1]+W[1]),D+=1}}}this.bounds=[c,f],this.points=s,this.pointCount=s.length,this.vertexCount=x,this.lineVertexCount=b,this.pointBuffer.update(E),this.colorBuffer.update(L),this.glyphBuffer.update(C),this.idBuffer.update(O),o.free(E),o.free(L),o.free(C),o.free(O)},y.dispose=function(){this.shader.dispose(),this.orthoShader.dispose(),this.pickPerspectiveShader.dispose(),this.pickOrthoShader.dispose(),this.vao.dispose(),this.pointBuffer.dispose(),this.colorBuffer.dispose(),this.glyphBuffer.dispose(),this.idBuffer.dispose()}},1884:function(t,e,r){\"use strict\";var n=r(6832);e.boxVertex=n([\"precision mediump float;\\n#define GLSLIFY 1\\n\\nattribute vec2 vertex;\\n\\nuniform vec2 cornerA, cornerB;\\n\\nvoid 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float segmentCount = 8.0;\\n\\n  float angle = 2.0 * 3.14159 * (index / segmentCount);\\n\\n  vec3 u = getOrthogonalVector(d);\\n  vec3 v = normalize(cross(u, d));\\n\\n  vec3 x = u * cos(angle) * length(d);\\n  vec3 y = v * sin(angle) * length(d);\\n  vec3 v3 = x + y;\\n\\n  normal = normalize(v3);\\n\\n  return v3;\\n}\\n\\nattribute vec4 vector;\\nattribute vec4 color, position;\\nattribute vec2 uv;\\n\\nuniform float vectorScale, tubeScale;\\nuniform mat4 model, view, projection, inverseModel;\\nuniform vec3 eyePosition, lightPosition;\\n\\nvarying vec3 f_normal, f_lightDirection, f_eyeDirection, f_data, f_position;\\nvarying vec4 f_color;\\nvarying vec2 f_uv;\\n\\nvoid main() {\\n  // Scale the vector magnitude to stay constant with\\n  // model & view changes.\\n  vec3 normal;\\n  vec3 XYZ = getTubePosition(mat3(model) * (tubeScale * vector.w * normalize(vector.xyz)), position.w, normal);\\n  vec4 tubePosition = model * vec4(position.xyz, 1.0) + vec4(XYZ, 0.0);\\n\\n  //Lighting geometry parameters\\n  vec4 cameraCoordinate = view * tubePosition;\\n  cameraCoordinate.xyz /= cameraCoordinate.w;\\n  f_lightDirection = lightPosition - cameraCoordinate.xyz;\\n  f_eyeDirection   = eyePosition - cameraCoordinate.xyz;\\n  f_normal = normalize((vec4(normal, 0.0) * inverseModel).xyz);\\n\\n  // vec4 m_position  = model * vec4(tubePosition, 1.0);\\n  vec4 t_position  = view * tubePosition;\\n  gl_Position      = projection * t_position;\\n\\n  f_color          = color;\\n  f_data           = tubePosition.xyz;\\n  f_position       = position.xyz;\\n  f_uv             = uv;\\n}\\n\"]),a=n([\"#extension GL_OES_standard_derivatives : enable\\n\\nprecision highp float;\\n#define GLSLIFY 1\\n\\nfloat beckmannDistribution(float x, float roughness) {\\n  float NdotH = max(x, 0.0001);\\n  float cos2Alpha = NdotH * NdotH;\\n  float tan2Alpha = (cos2Alpha - 1.0) / cos2Alpha;\\n  float roughness2 = roughness * roughness;\\n  float denom = 3.141592653589793 * roughness2 * cos2Alpha 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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\"}]}},7307:function(t,e,r){\"use strict\";var n=r(2858),i=r(4020),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 D=i[b+w+k],z=i[b+w+A],R=i[b+T+k],F=i[b+T+A],B=i[_+w+k],N=i[_+w+A],j=i[_+T+k],U=i[_+T+A],V=n.create(),H=n.create(),q=n.create(),G=n.create();n.lerp(V,D,B,P),n.lerp(H,z,N,P),n.lerp(q,R,j,P),n.lerp(G,F,U,P);var Z=n.create(),Y=n.create();n.lerp(Z,V,q,O),n.lerp(Y,H,G,O);var W=n.create();return n.lerp(W,Z,Y,I),W}(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),D=C;O.push(I);var z=[],R=v(C,I),F=n.length(R);isFinite(F)&&F>S&&(S=F),z.push(F),g.push({points:P,velocities:O,divergences:z});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(D,N)-A>-1e-4*A&&(P.push(N),D=N,O.push(I),R=v(N,I),F=n.length(R),isFinite(F)&&F>S&&(S=F),z.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(9578),c=r(1140).createMesh;t.exports.createTubeMesh=function(t,e){return c(t,e,{shaders:u,traceType:\"streamtube\"})}},9054:function(t,e,r){var n=r(5158),i=r(6832),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}},3754: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:40,offset:0},{buffer:u,size:3,stride:40,offset:16},{buffer:u,size:3,stride:40,offset:28}]),f=i(e),h=a(e,[{buffer:f,size:4,stride:20,offset:0},{buffer:f,size:1,stride:20,offset:16}]),p=i(e),d=a(e,[{buffer:p,size:2,type:e.FLOAT}]),v=o(e,1,256,e.RGBA,e.UNSIGNED_BYTE);v.minFilter=e.LINEAR,v.magFilter=e.LINEAR;var g=new M(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 w in t)y[w]=t[w];return y.colormap=y.colormap||\"jet\",g.update(y),g};var n=r(2288),i=r(5827),a=r(2944),o=r(8931),s=r(5306),l=r(9156),u=r(7498),c=r(7382),f=r(5050),h=r(4162),p=r(104),d=r(7437),v=r(5070),g=r(9144),y=r(9054),m=y.createShader,x=y.createContourShader,b=y.createPickShader,_=y.createPickContourShader,w=[1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1],T=[[0,0],[0,1],[1,0],[1,1],[1,0],[0,1]],k=[[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]];function A(t,e,r,n,i){this.position=t,this.index=e,this.uv=r,this.level=n,this.dataCoordinate=i}function M(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 A([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}!function(){for(var t=0;t<3;++t){var e=k[t],r=(t+2)%3;e[(t+1)%3+0]=1,e[r+3]=1,e[t+6]=1}}();var S=M.prototype;S.genColormap=function(t,e){var r=!1,n=c([l({colormap:t,nshades:256,format:\"rgba\"}).map((function(t,n){var i=e?function(t,e){if(!e)return 1;if(!e.length)return 1;for(var r=0;r<e.length;++r){if(e.length<2)return 1;if(e[r][0]===t)return e[r][1];if(e[r][0]>t&&r>0){var n=(e[r][0]-t)/(e[r][0]-e[r-1][0]);return e[r][1]*(1-n)+n*e[r-1][1]}}return 1}(n/255,e):t[3];return i<1&&(r=!0),[t[0],t[1],t[2],255*i]}))]);return u.divseq(n,255),this.hasAlphaScale=r,n},S.isTransparent=function(){return this.opacity<1||this.hasAlphaScale},S.isOpaque=function(){return!this.isTransparent()},S.pickSlots=1,S.setPickBase=function(t){this.pickId=t};var E=[0,0,0],L={showSurface:!1,showContour:!1,projections:[w.slice(),w.slice(),w.slice()],clipBounds:[[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]],[[0,0,0],[0,0,0]]]};function C(t,e){var r,n,i,a=e.axes&&e.axes.lastCubeProps.axis||E,o=e.showSurface,s=e.showContour;for(r=0;r<3;++r)for(o=o||e.surfaceProject[r],n=0;n<3;++n)s=s||e.contourProject[r][n];for(r=0;r<3;++r){var l=L.projections[r];for(n=0;n<16;++n)l[n]=0;for(n=0;n<4;++n)l[5*n]=1;l[5*r]=0,l[12+r]=e.axesBounds[+(a[r]>0)][r],p(l,t.model,l);var u=L.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 L.showSurface=o,L.showContour=s,L}var P={model:w,view:w,projection:w,inverseModel:w.slice(),lowerBound:[0,0,0],upperBound:[0,0,0],colorMap:0,clipBounds:[[0,0,0],[0,0,0]],height:0,contourTint:0,contourColor:[0,0,0,1],permutation:[1,0,0,0,1,0,0,0,1],zOffset:-1e-4,objectOffset:[0,0,0],kambient:1,kdiffuse:1,kspecular:1,lightPosition:[1e3,1e3,1e3],eyePosition:[0,0,0],roughness:1,fresnel:1,opacity:1,vertexColor:0},O=w.slice(),I=[1,0,0,0,1,0,0,0,1];function D(t,e){t=t||{};var r=this.gl;r.disable(r.CULL_FACE),this._colorMap.bind(0);var n=P;n.model=t.model||w,n.view=t.view||w,n.projection=t.projection||w,n.lowerBound=[this.bounds[0][0],this.bounds[0][1],this.colorBounds[0]||this.bounds[0][2]],n.upperBound=[this.bounds[1][0],this.bounds[1][1],this.colorBounds[1]||this.bounds[1][2]],n.objectOffset=this.objectOffset,n.contourColor=this.contourColor[0],n.inverseModel=d(n.inverseModel,n.model);for(var i=0;i<2;++i)for(var a=n.clipBounds[i],o=0;o<3;++o)a[o]=Math.min(Math.max(this.clipBounds[i][o],-1e8),1e8);n.kambient=this.ambientLight,n.kdiffuse=this.diffuseLight,n.kspecular=this.specularLight,n.roughness=this.roughness,n.fresnel=this.fresnel,n.opacity=this.opacity,n.height=0,n.permutation=I,n.vertexColor=this.vertexColor;var s=O;for(p(s,n.view,n.model),p(s,n.projection,s),d(s,s),i=0;i<3;++i)n.eyePosition[i]=s[12+i]/s[15];var l=s[15];for(i=0;i<3;++i)l+=this.lightPosition[i]*s[4*i+3];for(i=0;i<3;++i){var 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=C(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=k[i],r.lineWidth(this.contourWidth[i]*this.pixelRatio),o=0;o<this.contourLevels[i].length;++o)o===this.highlightLevel[i]?(f.uniforms.contourColor=this.highlightColor[i],f.uniforms.contourTint=this.highlightTint[i]):0!==o&&o-1!==this.highlightLevel[i]||(f.uniforms.contourColor=this.contourColor[i],f.uniforms.contourTint=this.contourTint[i]),this._contourCounts[i][o]&&(f.uniforms.height=this.contourLevels[i][o],h.draw(r.LINES,this._contourCounts[i][o],this._contourOffsets[i][o]));for(i=0;i<3;++i)for(f.uniforms.model=c.projections[i],f.uniforms.clipBounds=c.clipBounds[i],o=0;o<3;++o)if(this.contourProject[i][o]){f.uniforms.permutation=k[o],r.lineWidth(this.contourWidth[o]*this.pixelRatio);for(var 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=k[i],r.lineWidth(this.dynamicWidth[i]*this.pixelRatio),f.uniforms.contourColor=this.dynamicColor[i],f.uniforms.contourTint=this.dynamicTint[i],f.uniforms.height=this.dynamicLevel[i],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]),o=0;o<3;++o)this.contourProject[o][i]&&(f.uniforms.model=c.projections[o],f.uniforms.clipBounds=c.clipBounds[o],h.draw(r.LINES,this._dynamicCounts[i],this._dynamicOffsets[i]));h.unbind()}}S.draw=function(t){return D.call(this,t,!1)},S.drawTransparent=function(t){return D.call(this,t,!0)};var z={model:w,view:w,projection:w,inverseModel:w,clipBounds:[[0,0,0],[0,0,0]],height:0,shape:[0,0],pickId:0,lowerBound:[0,0,0],upperBound:[0,0,0],zOffset:0,objectOffset:[0,0,0],permutation:[1,0,0,0,1,0,0,0,1],lightPosition:[0,0,0],eyePosition:[0,0,0]};function R(t,e){return Array.isArray(t)?[e(t[0]),e(t[1]),e(t[2])]:[e(t),e(t),e(t)]}function F(t){return Array.isArray(t)?3===t.length?[t[0],t[1],t[2],1]:[t[0],t[1],t[2],t[3]]:[0,0,0,1]}function B(t){if(Array.isArray(t)){if(Array.isArray(t))return[F(t[0]),F(t[1]),F(t[2])];var e=F(t);return[e.slice(),e.slice(),e.slice()]}}S.drawPick=function(t){t=t||{};var e=this.gl;e.disable(e.CULL_FACE);var r=z;r.model=t.model||w,r.view=t.view||w,r.projection=t.projection||w,r.shape=this._field[2].shape,r.pickId=this.pickId/255,r.lowerBound=this.bounds[0],r.upperBound=this.bounds[1],r.objectOffset=this.objectOffset,r.permutation=I;for(var n=0;n<2;++n)for(var i=r.clipBounds[n],a=0;a<3;++a)i[a]=Math.min(Math.max(this.clipBounds[n][a],-1e8),1e8);var o=C(r,this);if(o.showSurface){for(this._pickShader.bind(),this._pickShader.uniforms=r,this._vao.bind(),this._vao.draw(e.TRIANGLES,this._vertexCount),n=0;n<3;++n)this.surfaceProject[n]&&(this._pickShader.uniforms.model=o.projections[n],this._pickShader.uniforms.clipBounds=o.clipBounds[n],this._vao.draw(e.TRIANGLES,this._vertexCount));this._vao.unbind()}if(o.showContour){var s=this._contourPickShader;s.bind(),s.uniforms=r;var l=this._contourVAO;for(l.bind(),a=0;a<3;++a)for(e.lineWidth(this.contourWidth[a]*this.pixelRatio),s.uniforms.permutation=k[a],n=0;n<this.contourLevels[a].length;++n)this._contourCounts[a][n]&&(s.uniforms.height=this.contourLevels[a][n],l.draw(e.LINES,this._contourCounts[a][n],this._contourOffsets[a][n]));for(n=0;n<3;++n)for(s.uniforms.model=o.projections[n],s.uniforms.clipBounds=o.clipBounds[n],a=0;a<3;++a)if(this.contourProject[n][a]){s.uniforms.permutation=k[a],e.lineWidth(this.contourWidth[a]*this.pixelRatio);for(var 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()}},S.pick=function(t){if(!t)return null;if(t.id!==this.pickId)return null;var e=this._field[2].shape,r=this._pickResult,n=e[0]*(t.value[0]+(t.value[2]>>4)/16)/255,i=Math.floor(n),a=n-i,o=e[1]*(t.value[1]+(15&t.value[2])/16)/255,s=Math.floor(o),l=o-s;i+=1,s+=1;var 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},S.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))},S.update=function(t){t=t||{},this.objectOffset=t.objectOffset||this.objectOffset,this.dirty=!0,\"contourWidth\"in t&&(this.contourWidth=R(t.contourWidth,Number)),\"showContour\"in t&&(this.showContour=R(t.showContour,Boolean)),\"showSurface\"in t&&(this.showSurface=!!t.showSurface),\"contourTint\"in t&&(this.contourTint=R(t.contourTint,Boolean)),\"contourColor\"in t&&(this.contourColor=B(t.contourColor)),\"contourProject\"in t&&(this.contourProject=R(t.contourProject,(function(t){return R(t,Boolean)}))),\"surfaceProject\"in t&&(this.surfaceProject=t.surfaceProject),\"dynamicColor\"in t&&(this.dynamicColor=B(t.dynamicColor)),\"dynamicTint\"in t&&(this.dynamicTint=R(t.dynamicTint,Number)),\"dynamicWidth\"in t&&(this.dynamicWidth=R(t.dynamicWidth,Number)),\"opacity\"in t&&(this.opacity=t.opacity),\"opacityscale\"in t&&(this.opacityscale=t.opacityscale),\"colorBounds\"in t&&(this.colorBounds=t.colorBounds),\"vertexColor\"in t&&(this.vertexColor=t.vertexColor?1:0),\"colormap\"in t&&this._colorMap.setPixels(this.genColormap(t.colormap,this.opacityscale));var e=t.field||t.coords&&t.coords[2]||null,r=!1;if(e||(e=this._field[2].shape[0]||this._field[2].shape[2]?this._field[2].lo(1,1).hi(this._field[2].shape[0]-2,this._field[2].shape[1]-2):this._field[2].hi(0,0)),\"field\"in t||\"coords\"in t){var i=(e.shape[0]+2)*(e.shape[1]+2);i>this._field[2].data.length&&(s.freeFloat(this._field[2].data),this._field[2].data=s.mallocFloat(n.nextPow2(i))),this._field[2]=f(this._field[2].data,[e.shape[0]+2,e.shape[1]+2]),this.padField(this._field[2],e),this.shape=e.shape.slice();for(var a=this.shape,o=0;o<2;++o)this._field[2].size>this._field[o].data.length&&(s.freeFloat(this._field[o].data),this._field[o].data=s.mallocFloat(this._field[2].size)),this._field[o]=f(this._field[o].data,[a[0]+2,a[1]+2]);if(t.coords){var l=t.coords;if(!Array.isArray(l)||3!==l.length)throw new Error(\"gl-surface: invalid coordinates for x/y\");for(o=0;o<2;++o){var 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),k=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=k*S-A*M,L=M*w-S*_,C=_*A-w*k,P=Math.sqrt(E*E+L*L+C*C);P<1e-8?(P=Math.max(Math.abs(E),Math.abs(L),Math.abs(C)))<1e-8?(C=1,L=E=0,P=1):P=1/P:P=1/Math.sqrt(P),b.set(o,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],D=1/0,z=-1/0,F=(a[0]-1)*(a[1]-1)*6,N=s.mallocFloat(n.nextPow2(10*F)),j=0,U=0;for(o=0;o<a[0]-1;++o)t:for(y=0;y<a[1]-1;++y){for(var V=0;V<2;++V)for(var H=0;H<2;++H)for(var q=0;q<3;++q){var G=this._field[q].get(1+o+V,1+y+H);if(isNaN(G)||!isFinite(G))continue t}for(q=0;q<6;++q){var Z=o+T[q][0],Y=y+T[q][1],W=this._field[0].get(Z+1,Y+1),X=this._field[1].get(Z+1,Y+1);G=this._field[2].get(Z+1,Y+1),E=b.get(Z+1,Y+1,0),L=b.get(Z+1,Y+1,1),C=b.get(Z+1,Y+1,2),t.intensity&&(J=t.intensity.get(Z,Y));var J=t.intensity?t.intensity.get(Z,Y):G+this.objectOffset[2];N[j++]=Z,N[j++]=Y,N[j++]=W,N[j++]=X,N[j++]=G,N[j++]=0,N[j++]=J,N[j++]=E,N[j++]=L,N[j++]=C,O[0]=Math.min(O[0],W+this.objectOffset[0]),O[1]=Math.min(O[1],X+this.objectOffset[1]),O[2]=Math.min(O[2],G+this.objectOffset[2]),D=Math.min(D,J),I[0]=Math.max(I[0],W+this.objectOffset[0]),I[1]=Math.max(I[1],X+this.objectOffset[1]),I[2]=Math.max(I[2],G+this.objectOffset[2]),z=Math.max(z,J),U+=1}}for(t.intensityBounds&&(D=+t.intensityBounds[0],z=+t.intensityBounds[1]),o=6;o<j;o+=10)N[o]=(N[o]-D)/(z-D);this._vertexCount=U,this._coordinateBuffer.update(N.subarray(0,j)),s.freeFloat(N),s.free(b.data),this.bounds=[O,I],this.intensity=t.intensity||this._field[2],this.intensityBounds[0]===D&&this.intensityBounds[1]===z||(r=!0),this.intensityBounds=[D,z]}if(\"levels\"in t){var K=t.levels;for(K=Array.isArray(K[0])?K.slice():[[],[],K],o=0;o<3;++o)K[o]=K[o].slice(),K[o].sort((function(t,e){return t-e}));for(o=0;o<3;++o)for(y=0;y<K[o].length;++y)K[o][y]-=this.objectOffset[o];t:for(o=0;o<3;++o){if(K[o].length!==this.contourLevels[o].length){r=!0;break}for(y=0;y<K[o].length;++y)if(K[o][y]!==this.contourLevels[o][y]){r=!0;break t}}this.contourLevels=K}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(q=0;q<2;++q){var ot=it.positions[at[q]],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(Z=0|Math.min(Math.max(lt+V,0),a[0]),H=0;H<2;++H){var yt=H?ht:1-ht;if(Y=0|Math.min(Math.max(ft+H,0),a[1]),G=dt<2?this._field[vt].get(Z,Y):(this.intensity.get(Z,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(q>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)}},S.dispose=function(){this._shader.dispose(),this._vao.dispose(),this._coordinateBuffer.dispose(),this._colorMap.dispose(),this._contourBuffer.dispose(),this._contourVAO.dispose(),this._contourShader.dispose(),this._contourPickShader.dispose(),this._dynamicBuffer.dispose(),this._dynamicVAO.dispose();for(var t=0;t<3;++t)s.freeFloat(this._field[t].data)},S.highlight=function(t){var e,r;if(!t)return this._dynamicCounts=[0,0,0],this.dyanamicLevel=[NaN,NaN,NaN],void(this.highlightLevel=[-1,-1,-1]);for(e=0;e<3;++e)this.enableHighlight[e]?this.highlightLevel[e]=t.level[e]:this.highlightLevel[e]=-1;for(r=this.snapToData?t.dataCoordinate:t.position,e=0;e<3;++e)r[e]-=this.objectOffset[e];if(this.enableDynamic[0]&&r[0]!==this.dynamicLevel[0]||this.enableDynamic[1]&&r[1]!==this.dynamicLevel[1]||this.enableDynamic[2]&&r[2]!==this.dynamicLevel[2]){for(var n=0,i=this.shape,a=s.mallocFloat(12*i[0]*i[1]),o=0;o<3;++o)if(this.enableDynamic[o]){this.dynamicLevel[o]=r[o];var l=(o+1)%3,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,D=C*f.get(_,M)+P*f.get(_,S)+O*f.get(w,M)+I*f.get(w,S),z=C*p.get(_,M)+P*p.get(_,S)+O*p.get(w,M)+I*p.get(w,S);if(isNaN(D)||isNaN(z)){m&&(n-=1);break}a[2*n+0]=D,a[2*n+1]=z,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)}}},8931:function(t,e,r){\"use strict\";var n=r(5050),i=r(7498),a=r(5306);t.exports=function(t){if(arguments.length<=1)throw new Error(\"gl-texture2d: Missing arguments for texture2d constructor\");if(o||u(t),\"number\"==typeof arguments[1])return y(t,arguments[1],arguments[2],arguments[3]||t.RGBA,arguments[4]||t.UNSIGNED_BYTE);if(Array.isArray(arguments[1]))return y(t,0|arguments[1][0],0|arguments[1][1],arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(\"object\"==typeof arguments[1]){var e=arguments[1],r=c(e)?e:e.raw;if(r)return m(t,r,0|e.width,0|e.height,arguments[2]||t.RGBA,arguments[3]||t.UNSIGNED_BYTE);if(e.shape&&e.data&&e.stride)return x(t,e)}throw new Error(\"gl-texture2d: Invalid arguments for texture2d constructor\")};var o=null,s=null,l=null;function u(t){o=[t.LINEAR,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_NEAREST],s=[t.NEAREST,t.LINEAR,t.NEAREST_MIPMAP_NEAREST,t.NEAREST_MIPMAP_LINEAR,t.LINEAR_MIPMAP_NEAREST,t.LINEAR_MIPMAP_LINEAR],l=[t.REPEAT,t.CLAMP_TO_EDGE,t.MIRRORED_REPEAT]}function c(t){return\"undefined\"!=typeof HTMLCanvasElement&&t instanceof HTMLCanvasElement||\"undefined\"!=typeof HTMLImageElement&&t instanceof HTMLImageElement||\"undefined\"!=typeof HTMLVideoElement&&t instanceof HTMLVideoElement||\"undefined\"!=typeof ImageData&&t instanceof ImageData}var f=function(t,e){i.muls(t,e,255)};function h(t,e,r){var n=t.gl,i=n.getParameter(n.MAX_TEXTURE_SIZE);if(e<0||e>i||r<0||r>i)throw new Error(\"gl-texture2d: Invalid texture size\");return t._shape=[e,r],t.bind(),n.texImage2D(n.TEXTURE_2D,0,t.format,e,r,0,t.format,t.type,null),t._mipLevels=[0],t}function p(t,e,r,n,i,a){this.gl=t,this.handle=e,this.format=i,this.type=a,this._shape=[r,n],this._mipLevels=[0],this._magFilter=t.NEAREST,this._minFilter=t.NEAREST,this._wrapS=t.CLAMP_TO_EDGE,this._wrapT=t.CLAMP_TO_EDGE,this._anisoSamples=1;var o=this,s=[this._wrapS,this._wrapT];Object.defineProperties(s,[{get:function(){return o._wrapS},set:function(t){return o.wrapS=t}},{get:function(){return o._wrapT},set:function(t){return o.wrapT=t}}]),this._wrapVector=s;var l=[this._shape[0],this._shape[1]];Object.defineProperties(l,[{get:function(){return o._shape[0]},set:function(t){return o.width=t}},{get:function(){return o._shape[1]},set:function(t){return o.height=t}}]),this._shapeVector=l}var d=p.prototype;function v(t,e){return 3===t.length?1===e[2]&&e[1]===t[0]*t[2]&&e[0]===t[2]:1===e[0]&&e[1]===t[0]}function g(t){var e=t.createTexture();return t.bindTexture(t.TEXTURE_2D,e),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MIN_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_MAG_FILTER,t.NEAREST),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_S,t.CLAMP_TO_EDGE),t.texParameteri(t.TEXTURE_2D,t.TEXTURE_WRAP_T,t.CLAMP_TO_EDGE),e}function y(t,e,r,n,i){var a=t.getParameter(t.MAX_TEXTURE_SIZE);if(e<0||e>a||r<0||r>a)throw new Error(\"gl-texture2d: Invalid texture shape\");if(i===t.FLOAT&&!t.getExtension(\"OES_texture_float\"))throw new Error(\"gl-texture2d: Floating point textures not supported on this platform\");var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,n,e,r,0,n,i,null),new p(t,o,e,r,n,i)}function m(t,e,r,n,i,a){var o=g(t);return t.texImage2D(t.TEXTURE_2D,0,i,i,a,e),new p(t,o,r,n,i,a)}function x(t,e){var r=e.dtype,o=e.shape.slice(),s=t.getParameter(t.MAX_TEXTURE_SIZE);if(o[0]<0||o[0]>s||o[1]<0||o[1]>s)throw new Error(\"gl-texture2d: Invalid texture size\");var l=v(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 c,h,d=0;if(2===o.length)d=t.LUMINANCE,o=[o[0],o[1],1],e=n(e.data,o,[e.stride[0],e.stride[1],1],e.offset);else{if(3!==o.length)throw new Error(\"gl-texture2d: Invalid shape for texture\");if(1===o[2])d=t.ALPHA;else if(2===o[2])d=t.LUMINANCE_ALPHA;else if(3===o[2])d=t.RGB;else{if(4!==o[2])throw new Error(\"gl-texture2d: Invalid shape for pixel coords\");d=t.RGBA}}u!==t.FLOAT||t.getExtension(\"OES_texture_float\")||(u=t.UNSIGNED_BYTE,l=!1);var y=e.size;if(l)c=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];h=a.malloc(y,r);var x=n(h,o,m,0);\"float32\"!==r&&\"float64\"!==r||u!==t.UNSIGNED_BYTE?i.assign(x,e):f(x,e),c=h.subarray(0,y)}var b=g(t);return t.texImage2D(t.TEXTURE_2D,0,d,o[0],o[1],0,d,u,c),l||a.free(h),new p(t,b,o[0],o[1],d,u)}Object.defineProperties(d,{minFilter:{get:function(){return this._minFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MIN_FILTER,t),this._minFilter=t}},magFilter:{get:function(){return this._magFilter},set:function(t){this.bind();var e=this.gl;if(this.type===e.FLOAT&&o.indexOf(t)>=0&&(e.getExtension(\"OES_texture_float_linear\")||(t=e.NEAREST)),s.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown filter mode \"+t);return e.texParameteri(e.TEXTURE_2D,e.TEXTURE_MAG_FILTER,t),this._magFilter=t}},mipSamples:{get:function(){return this._anisoSamples},set:function(t){var e=this._anisoSamples;if(this._anisoSamples=0|Math.max(t,1),e!==this._anisoSamples){var r=this.gl.getExtension(\"EXT_texture_filter_anisotropic\");r&&this.gl.texParameterf(this.gl.TEXTURE_2D,r.TEXTURE_MAX_ANISOTROPY_EXT,this._anisoSamples)}return this._anisoSamples}},wrapS:{get:function(){return this._wrapS},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_S,t),this._wrapS=t}},wrapT:{get:function(){return this._wrapT},set:function(t){if(this.bind(),l.indexOf(t)<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);return this.gl.texParameteri(this.gl.TEXTURE_2D,this.gl.TEXTURE_WRAP_T,t),this._wrapT=t}},wrap:{get:function(){return this._wrapVector},set:function(t){if(Array.isArray(t)||(t=[t,t]),2!==t.length)throw new Error(\"gl-texture2d: Must specify wrap mode for rows and columns\");for(var e=0;e<2;++e)if(l.indexOf(t[e])<0)throw new Error(\"gl-texture2d: Unknown wrap mode \"+t);this._wrapS=t[0],this._wrapT=t[1];var r=this.gl;return this.bind(),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_S,this._wrapS),r.texParameteri(r.TEXTURE_2D,r.TEXTURE_WRAP_T,this._wrapT),t}},shape:{get:function(){return this._shapeVector},set:function(t){if(Array.isArray(t)){if(2!==t.length)throw new Error(\"gl-texture2d: Invalid texture shape\")}else t=[0|t,0|t];return h(this,0|t[0],0|t[1]),[0|t[0],0|t[1]]}},width:{get:function(){return this._shape[0]},set:function(t){return h(this,t|=0,this._shape[1]),t}},height:{get:function(){return this._shape[1]},set:function(t){return t|=0,h(this,this._shape[0],t),t}}}),d.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},d.dispose=function(){this.gl.deleteTexture(this.handle)},d.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)},d.setPixels=function(t,e,r,o){var s=this.gl;this.bind(),Array.isArray(e)?(o=r,r=0|e[1],e=0|e[0]):(e=e||0,r=r||0),o=o||0;var l=c(t)?t:t.raw;if(l)this._mipLevels.indexOf(o)<0?(s.texImage2D(s.TEXTURE_2D,0,this.format,this.format,this.type,l),this._mipLevels.push(o)):s.texSubImage2D(s.TEXTURE_2D,o,e,r,this.format,this.type,l);else{if(!(t.shape&&t.stride&&t.data))throw new Error(\"gl-texture2d: Unsupported data type\");if(t.shape.length<2||e+t.shape[1]>this._shape[1]>>>o||r+t.shape[0]>this._shape[0]>>>o||e<0||r<0)throw new Error(\"gl-texture2d: Texture dimensions are out of bounds\");!function(t,e,r,o,s,l,u,c){var h=c.dtype,p=c.shape.slice();if(p.length<2||p.length>3)throw new Error(\"gl-texture2d: Invalid ndarray, must be 2d or 3d\");var d=0,g=0,y=v(p,c.stride.slice());if(\"float32\"===h?d=t.FLOAT:\"float64\"===h?(d=t.FLOAT,y=!1,h=\"float32\"):\"uint8\"===h?d=t.UNSIGNED_BYTE:(d=t.UNSIGNED_BYTE,y=!1,h=\"uint8\"),2===p.length)g=t.LUMINANCE,p=[p[0],p[1],1],c=n(c.data,p,[c.stride[0],c.stride[1],1],c.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=c.size,x=u.indexOf(o)<0;if(x&&u.push(o),d===l&&y)0===c.offset&&c.data.length===m?x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,c.data):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,c.data):x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,c.data.subarray(c.offset,c.offset+m)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,c.data.subarray(c.offset,c.offset+m));else{var b;b=l===t.FLOAT?a.mallocFloat32(m):a.mallocUint8(m);var _=n(b,p,[p[2],p[2]*p[0],1]);d===t.FLOAT&&l===t.UNSIGNED_BYTE?f(_,c):i.assign(_,c),x?t.texImage2D(t.TEXTURE_2D,o,s,p[0],p[1],0,s,l,b.subarray(0,m)):t.texSubImage2D(t.TEXTURE_2D,o,e,r,p[0],p[1],s,l,b.subarray(0,m)),l===t.FLOAT?a.freeFloat32(b):a.freeUint8(b)}}(s,e,r,o,this.format,this.type,this._mipLevels,t)}}},3056:function(t){\"use strict\";t.exports=function(t,e,r){e?e.bind():t.bindBuffer(t.ELEMENT_ARRAY_BUFFER,null);var n=0|t.getParameter(t.MAX_VERTEX_ATTRIBS);if(r){if(r.length>n)throw new Error(\"gl-vao: Too many vertex attributes\");for(var i=0;i<r.length;++i){var a=r[i];if(a.buffer){var o=a.buffer,s=a.size||4,l=a.type||t.FLOAT,u=!!a.normalized,c=a.stride||0,f=a.offset||0;o.bind(),t.enableVertexAttribArray(i),t.vertexAttribPointer(i,s,l,u,c,f)}else{if(\"number\"==typeof a)t.vertexAttrib1f(i,a);else if(1===a.length)t.vertexAttrib1f(i,a[0]);else if(2===a.length)t.vertexAttrib2f(i,a[0],a[1]);else if(3===a.length)t.vertexAttrib3f(i,a[0],a[1],a[2]);else{if(4!==a.length)throw new Error(\"gl-vao: Invalid vertex attribute\");t.vertexAttrib4f(i,a[0],a[1],a[2],a[3])}t.disableVertexAttribArray(i)}}for(;i<n;++i)t.disableVertexAttribArray(i)}else for(t.bindBuffer(t.ARRAY_BUFFER,null),i=0;i<n;++i)t.disableVertexAttribArray(i)}},7220:function(t,e,r){\"use strict\";var n=r(3056);function 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strict\";t.exports=function(t,e,r,n,i,a,o,s,l,u){var c=e+a+u;if(f>0){var f=Math.sqrt(c+1);t[0]=.5*(o-l)/f,t[1]=.5*(s-n)/f,t[2]=.5*(r-a)/f,t[3]=.5*f}else{var h=Math.max(e,a,u);f=Math.sqrt(2*h-c+1),e>=h?(t[0]=.5*f,t[1]=.5*(i+r)/f,t[2]=.5*(s+n)/f,t[3]=.5*(o-l)/f):a>=h?(t[0]=.5*(r+i)/f,t[1]=.5*f,t[2]=.5*(l+o)/f,t[3]=.5*(s-n)/f):(t[0]=.5*(n+s)/f,t[1]=.5*(o+l)/f,t[2]=.5*f,t[3]=.5*(r-i)/f)}return t}},7774:function(t,e,r){\"use strict\";t.exports=function(t){var e=(t=t||{}).center||[0,0,0],r=t.rotation||[0,0,0,1],n=t.radius||1;e=[].slice.call(e,0,3),c(r=[].slice.call(r,0,4),r);var i=new f(r,e,Math.log(n));return i.setDistanceLimits(t.zoomMin,t.zoomMax),(\"eye\"in t||\"up\"in t)&&i.lookAt(0,t.eye,t.center,t.up),i};var n=r(8444),i=r(3012),a=r(5950),o=r(7437),s=r(567);function l(t,e,r){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2))}function u(t,e,r,n){return Math.sqrt(Math.pow(t,2)+Math.pow(e,2)+Math.pow(r,2)+Math.pow(n,2))}function c(t,e){var r=e[0],n=e[1],i=e[2],a=e[3],o=u(r,n,i,a);o>1e-6?(t[0]=r/o,t[1]=n/o,t[2]=i/o,t[3]=a/o):(t[0]=t[1]=t[2]=0,t[3]=1)}function f(t,e,r){this.radius=n([r]),this.center=n(e),this.rotation=n(t),this.computedRadius=this.radius.curve(0),this.computedCenter=this.center.curve(0),this.computedRotation=this.rotation.curve(0),this.computedUp=[.1,0,0],this.computedEye=[.1,0,0],this.computedMatrix=[.1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],this.recalcMatrix(0)}var h=f.prototype;h.lastT=function(){return Math.max(this.radius.lastT(),this.center.lastT(),this.rotation.lastT())},h.recalcMatrix=function(t){this.radius.curve(t),this.center.curve(t),this.rotation.curve(t);var e=this.computedRotation;c(e,e);var r=this.computedMatrix;a(r,e);var n=this.computedCenter,i=this.computedEye,o=this.computedUp,s=Math.exp(this.computedRadius[0]);i[0]=n[0]+s*r[2],i[1]=n[1]+s*r[6],i[2]=n[2]+s*r[10],o[0]=r[1],o[1]=r[5],o[2]=r[9];for(var l=0;l<3;++l){for(var 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n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[8],c=e[9],f=e[10],h=e[11];return e!==t&&(t[4]=e[4],t[5]=e[5],t[6]=e[6],t[7]=e[7],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i-u*n,t[1]=o*i-c*n,t[2]=s*i-f*n,t[3]=l*i-h*n,t[8]=a*n+u*i,t[9]=o*n+c*i,t[10]=s*n+f*i,t[11]=l*n+h*i,t}},15692:function(t){t.exports=function(t,e,r){var n=Math.sin(r),i=Math.cos(r),a=e[0],o=e[1],s=e[2],l=e[3],u=e[4],c=e[5],f=e[6],h=e[7];return e!==t&&(t[8]=e[8],t[9]=e[9],t[10]=e[10],t[11]=e[11],t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15]),t[0]=a*i+u*n,t[1]=o*i+c*n,t[2]=s*i+f*n,t[3]=l*i+h*n,t[4]=u*i-a*n,t[5]=c*i-o*n,t[6]=f*i-s*n,t[7]=h*i-l*n,t}},10789:function(t){t.exports=function(t,e,r){var n=r[0],i=r[1],a=r[2];return t[0]=e[0]*n,t[1]=e[1]*n,t[2]=e[2]*n,t[3]=e[3]*n,t[4]=e[4]*i,t[5]=e[5]*i,t[6]=e[6]*i,t[7]=e[7]*i,t[8]=e[8]*a,t[9]=e[9]*a,t[10]=e[10]*a,t[11]=e[11]*a,t[12]=e[12],t[13]=e[13],t[14]=e[14],t[15]=e[15],t}},6726:function(t){t.exports=function(t){return\"mat4(\"+t[0]+\", \"+t[1]+\", \"+t[2]+\", \"+t[3]+\", \"+t[4]+\", \"+t[5]+\", \"+t[6]+\", \"+t[7]+\", \"+t[8]+\", \"+t[9]+\", \"+t[10]+\", \"+t[11]+\", \"+t[12]+\", \"+t[13]+\", \"+t[14]+\", \"+t[15]+\")\"}},31283:function(t){t.exports=function(t,e,r){var n,i,a,o,s,l,u,c,f,h,p,d,v=r[0],g=r[1],y=r[2];return e===t?(t[12]=e[0]*v+e[4]*g+e[8]*y+e[12],t[13]=e[1]*v+e[5]*g+e[9]*y+e[13],t[14]=e[2]*v+e[6]*g+e[10]*y+e[14],t[15]=e[3]*v+e[7]*g+e[11]*y+e[15]):(n=e[0],i=e[1],a=e[2],o=e[3],s=e[4],l=e[5],u=e[6],c=e[7],f=e[8],h=e[9],p=e[10],d=e[11],t[0]=n,t[1]=i,t[2]=a,t[3]=o,t[4]=s,t[5]=l,t[6]=u,t[7]=c,t[8]=f,t[9]=h,t[10]=p,t[11]=d,t[12]=n*v+s*g+f*y+e[12],t[13]=i*v+l*g+h*y+e[13],t[14]=a*v+u*g+p*y+e[14],t[15]=o*v+c*g+d*y+e[15]),t}},88654:function(t){t.exports=function(t,e){if(t===e){var r=e[1],n=e[2],i=e[3],a=e[6],o=e[7],s=e[11];t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=r,t[6]=e[9],t[7]=e[13],t[8]=n,t[9]=a,t[11]=e[14],t[12]=i,t[13]=o,t[14]=s}else t[0]=e[0],t[1]=e[4],t[2]=e[8],t[3]=e[12],t[4]=e[1],t[5]=e[5],t[6]=e[9],t[7]=e[13],t[8]=e[2],t[9]=e[6],t[10]=e[10],t[11]=e[14],t[12]=e[3],t[13]=e[7],t[14]=e[11],t[15]=e[15];return t}},42505:function(t,e,r){\"use strict\";var n=r(72791),i=r(71299),a=r(98580),o=r(12018),s=r(83522),l=r(25075),u=r(68016),c=r(58404),f=r(18863),h=r(10973),p=r(25677),d=r(75686),v=r(53545),g=r(56131),y=r(32879),m=r(30120),x=r(13547).nextPow2,b=new s,_=!1;if(document.body){var w=document.body.appendChild(document.createElement(\"div\"));w.style.font=\"italic small-caps bold condensed 16px/2 cursive\",getComputedStyle(w).fontStretch&&(_=!0),document.body.removeChild(w)}var T=function(t){!function(t){return\"function\"==typeof t&&t._gl&&t.prop&&t.texture&&t.buffer}(t)?this.gl=o(t):(t={regl:t},this.gl=t.regl._gl),this.shader=b.get(this.gl),this.shader?this.regl=this.shader.regl:this.regl=t.regl||a({gl:this.gl}),this.charBuffer=this.regl.buffer({type:\"uint8\",usage:\"stream\"}),this.sizeBuffer=this.regl.buffer({type:\"float\",usage:\"stream\"}),this.shader||(this.shader=this.createShader(),b.set(this.gl,this.shader)),this.batch=[],this.fontSize=[],this.font=[],this.fontAtlas=[],this.draw=this.shader.draw.bind(this),this.render=function(){this.regl._refresh(),this.draw(this.batch)},this.canvas=this.gl.canvas,this.update(h(t)?t:{})};T.prototype.createShader=function(){var t=this.regl,e=t({blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst 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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 / 255.;\\n\\t\\t\\t}\",frag:\"\\n\\t\\t\\tprecision highp float;\\n\\t\\t\\tuniform float fontSize, charStep, opacity;\\n\\t\\t\\tuniform vec2 atlasSize;\\n\\t\\t\\tuniform vec4 viewport;\\n\\t\\t\\tuniform sampler2D atlas;\\n\\t\\t\\tvarying vec4 fontColor;\\n\\t\\t\\tvarying vec2 charCoord, charId;\\n\\t\\t\\tvarying float charWidth;\\n\\n\\t\\t\\tfloat lightness(vec4 color) {\\n\\t\\t\\t\\treturn color.r * 0.299 + color.g * 0.587 + color.b * 0.114;\\n\\t\\t\\t}\\n\\n\\t\\t\\tvoid main () {\\n\\t\\t\\t\\tvec2 uv = gl_FragCoord.xy - charCoord + charStep * .5;\\n\\t\\t\\t\\tfloat halfCharStep = floor(charStep * .5 + .5);\\n\\n\\t\\t\\t\\t// invert y and shift by 1px (FF expecially needs that)\\n\\t\\t\\t\\tuv.y = charStep - uv.y;\\n\\n\\t\\t\\t\\t// ignore points outside of character bounding box\\n\\t\\t\\t\\tfloat halfCharWidth = ceil(charWidth * .5);\\n\\t\\t\\t\\tif (floor(uv.x) > halfCharStep + halfCharWidth ||\\n\\t\\t\\t\\t\\tfloor(uv.x) < halfCharStep - halfCharWidth) return;\\n\\n\\t\\t\\t\\tuv += charId * charStep;\\n\\t\\t\\t\\tuv = uv / atlasSize;\\n\\n\\t\\t\\t\\tvec4 color = fontColor;\\n\\t\\t\\t\\tvec4 mask = texture2D(atlas, uv);\\n\\n\\t\\t\\t\\tfloat maskY = lightness(mask);\\n\\t\\t\\t\\t// float colorY = lightness(color);\\n\\t\\t\\t\\tcolor.a *= maskY;\\n\\t\\t\\t\\tcolor.a *= opacity;\\n\\n\\t\\t\\t\\t// color.a += .1;\\n\\n\\t\\t\\t\\t// antialiasing, see yiq color space y-channel formula\\n\\t\\t\\t\\t// color.rgb += (1. - color.rgb) * (1. - mask.rgb);\\n\\n\\t\\t\\t\\tgl_FragColor = color;\\n\\t\\t\\t}\"});return{regl:t,draw:e,atlas:{}}},T.prototype.update=function(t){var e=this;if(\"string\"==typeof t)t={text:t};else if(!t)return;null!=(t=i(t,{position:\"position positions coord coords coordinates\",font:\"font fontFace fontface typeface cssFont css-font family fontFamily\",fontSize:\"fontSize fontsize size font-size\",text:\"text texts chars characters value values symbols\",align:\"align alignment textAlign textbaseline\",baseline:\"baseline textBaseline textbaseline\",direction:\"dir direction textDirection\",color:\"color colour fill fill-color fillColor textColor textcolor\",kerning:\"kerning kern\",range:\"range dataBox\",viewport:\"vp viewport viewBox viewbox viewPort\",opacity:\"opacity alpha transparency visible visibility opaque\",offset:\"offset positionOffset padding shift indent indentation\"},!0)).opacity&&(Array.isArray(t.opacity)?this.opacity=t.opacity.map((function(t){return parseFloat(t)})):this.opacity=parseFloat(t.opacity)),null!=t.viewport&&(this.viewport=f(t.viewport),this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null==this.viewport&&(this.viewport={x:0,y:0,width:this.gl.drawingBufferWidth,height:this.gl.drawingBufferHeight},this.viewportArray=[this.viewport.x,this.viewport.y,this.viewport.width,this.viewport.height]),null!=t.kerning&&(this.kerning=t.kerning),null!=t.offset&&(\"number\"==typeof t.offset&&(t.offset=[t.offset,0]),this.positionOffset=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 t=n.parse(n.stringify(t));var i=n.stringify({size:T.baseFontSize,family:t.family,stretch:_?t.stretch:void 0,variant:t.variant,weight:t.weight,style:t.style}),s=p(t.size),l=Math.round(s[0]*d(s[1]));if(l!==e.fontSize[r]&&(o=!0,e.fontSize[r]=l),!(e.font[r]&&i==e.font[r].baseString||(a=!0,e.font[r]=T.fonts[i],e.font[r]))){var u=t.family.join(\", \"),c=[t.style];t.style!=t.variant&&c.push(t.variant),t.variant!=t.weight&&c.push(t.weight),_&&t.weight!=t.stretch&&c.push(t.stretch),e.font[r]={baseString:i,family:u,weight:t.weight,stretch:t.stretch,style:t.style,variant:t.variant,width:{},kerning:{},metrics:y(u,{origin:\"top\",fontSize:T.baseFontSize,fontStyle:c.join(\" \")})},T.fonts[i]=e.font[r]}})),(a||o)&&this.font.forEach((function(r,i){var a=n.stringify({size:e.fontSize[i],family:r.family,stretch:_?r.stretch:void 0,variant:r.variant,weight:r.weight,style:r.style});if(e.fontAtlas[i]=e.shader.atlas[a],!e.fontAtlas[i]){var o=r.metrics;e.shader.atlas[a]=e.fontAtlas[i]={fontString:a,step:2*Math.ceil(e.fontSize[i]*o.bottom*.5),em:e.fontSize[i],cols:0,rows:0,height:0,width:0,chars:[],ids:{},texture:e.regl.texture()}}null==t.text&&(t.text=e.text)})),\"string\"==typeof t.text&&t.position&&t.position.length>2){for(var 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Math.atan2(this.y-t.y,this.x-t.x)},angleWith:function(t){return this.angleWithSep(t.x,t.y)},angleWithSep:function(t,e){return Math.atan2(this.x*e-this.y*t,this.x*t+this.y*e)},_matMult:function(t){var e=t[0]*this.x+t[1]*this.y,r=t[2]*this.x+t[3]*this.y;return this.x=e,this.y=r,this},_add:function(t){return this.x+=t.x,this.y+=t.y,this},_sub:function(t){return this.x-=t.x,this.y-=t.y,this},_mult:function(t){return this.x*=t,this.y*=t,this},_div:function(t){return this.x/=t,this.y/=t,this},_multByPoint:function(t){return this.x*=t.x,this.y*=t.y,this},_divByPoint:function(t){return this.x/=t.x,this.y/=t.y,this},_unit:function(){return this._div(this.mag()),this},_perp:function(){var t=this.y;return this.y=this.x,this.x=-t,this},_rotate:function(t){var e=Math.cos(t),r=Math.sin(t),n=e*this.x-r*this.y,i=r*this.x+e*this.y;return this.x=n,this.y=i,this},_rotateAround:function(t,e){var r=Math.cos(t),n=Math.sin(t),i=e.x+r*(this.x-e.x)-n*(this.y-e.y),a=e.y+n*(this.x-e.x)+r*(this.y-e.y);return 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r.width=t.width,r.height=t.height,n.drawImage(t,0,0,t.width,t.height),n.getImageData(-e,-e,t.width+2*e,t.height+2*e)},resolveURL:function(t){return C||(C=self.document.createElement(\"a\")),C.href=t,C.href},hardwareConcurrency:self.navigator.hardwareConcurrency||4,get devicePixelRatio(){return self.devicePixelRatio},get prefersReducedMotion(){return!!self.matchMedia&&(null==P&&(P=self.matchMedia(\"(prefers-reduced-motion: reduce)\")),P.matches)}},B={API_URL:\"https://api.mapbox.com\",get EVENTS_URL(){return this.API_URL?0===this.API_URL.indexOf(\"https://api.mapbox.cn\")?\"https://events.mapbox.cn/events/v2\":0===this.API_URL.indexOf(\"https://api.mapbox.com\")?\"https://events.mapbox.com/events/v2\":null:null},FEEDBACK_URL:\"https://apps.mapbox.com/feedback\",REQUIRE_ACCESS_TOKEN:!0,ACCESS_TOKEN:null,MAX_PARALLEL_IMAGE_REQUESTS:16},N={supported:!1,testSupport:function(t){!j&&I&&(U?V(t):O=t)}},j=!1,U=!1;function V(t){var 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Date.now()>this._skuTokenExpiresAt},q.prototype.transformRequest=function(t,e){return this._transformRequestFn&&this._transformRequestFn(t,e)||{url:t}},q.prototype.normalizeStyleURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/styles/v1\"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeGlyphsURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/fonts/v1\"+r.path,this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSourceURL=function(t,e){if(!G(t))return t;var r=X(t);return r.path=\"/v4/\"+r.authority+\".json\",r.params.push(\"secure\"),this._makeAPIURL(r,this._customAccessToken||e)},q.prototype.normalizeSpriteURL=function(t,e,r,n){var i=X(t);return G(t)?(i.path=\"/styles/v1\"+i.path+\"/sprite\"+e+r,this._makeAPIURL(i,this._customAccessToken||n)):(i.path+=\"\"+e+r,J(i))},q.prototype.normalizeTileURL=function(t,e){if(this._isSkuTokenExpired()&&this._createSkuToken(),t&&!G(t))return t;var r=X(t),n=F.devicePixelRatio>=2||512===e?\"@2x\":\"\",i=N.supported?\".webp\":\"$1\";r.path=r.path.replace(/(\\.(png|jpg)\\d*)(?=$)/,\"\"+n+i),r.path=r.path.replace(/^.+\\/v4\\//,\"/\"),r.path=\"/v4\"+r.path;var a=this._customAccessToken||function(t){for(var e=0,r=t;e<r.length;e+=1){var n=r[e].match(/^access_token=(.*)$/);if(n)return n[1]}return null}(r.params)||B.ACCESS_TOKEN;return B.REQUIRE_ACCESS_TOKEN&&a&&this._skuToken&&r.params.push(\"sku=\"+this._skuToken),this._makeAPIURL(r,a)},q.prototype.canonicalizeTileURL=function(t,e){var r=X(t);if(!r.path.match(/(^\\/v4\\/)/)||!r.path.match(/\\.[\\w]+$/))return t;var n=\"mapbox://tiles/\";n+=r.path.replace(\"/v4/\",\"\");var i=r.params;return e&&(i=i.filter((function(t){return!t.match(/^access_token=/)}))),i.length&&(n+=\"?\"+i.join(\"&\")),n},q.prototype.canonicalizeTileset=function(t,e){for(var r=!!e&&G(e),n=[],i=0,a=t.tiles||[];i<a.length;i+=1){var o=a[i];Y(o)?n.push(this.canonicalizeTileURL(o,r)):n.push(o)}return n},q.prototype._makeAPIURL=function(t,e){var r=\"See https://www.mapbox.com/api-documentation/#access-tokens-and-token-scopes\",n=X(B.API_URL);if(t.protocol=n.protocol,t.authority=n.authority,\"/\"!==n.path&&(t.path=\"\"+n.path+t.path),!B.REQUIRE_ACCESS_TOKEN)return J(t);if(!(e=e||B.ACCESS_TOKEN))throw new Error(\"An API access token is required to use Mapbox GL. \"+r);if(\"s\"===e[0])throw new Error(\"Use a public access token (pk.*) with Mapbox GL, not a secret access token (sk.*). \"+r);return t.params=t.params.filter((function(t){return-1===t.indexOf(\"access_token\")})),t.params.push(\"access_token=\"+e),J(t)};var Z=/^((https?:)?\\/\\/)?([^\\/]+\\.)?mapbox\\.c(n|om)(\\/|\\?|$)/i;function Y(t){return Z.test(t)}var W=/^(\\w+):\\/\\/([^/?]*)(\\/[^?]+)?\\??(.+)?/;function X(t){var e=t.match(W);if(!e)throw new Error(\"Unable to parse URL object\");return{protocol:e[1],authority:e[2],path:e[3]||\"/\",params:e[4]?e[4].split(\"&\"):[]}}function J(t){var e=t.params.length?\"?\"+t.params.join(\"&\"):\"\";return t.protocol+\"://\"+t.authority+t.path+e}var K=\"mapbox.eventData\";function $(t){if(!t)return null;var e,r=t.split(\".\");if(!r||3!==r.length)return null;try{return JSON.parse((e=r[1],decodeURIComponent(self.atob(e).split(\"\").map((function(t){return\"%\"+(\"00\"+t.charCodeAt(0).toString(16)).slice(-2)})).join(\"\"))))}catch(t){return null}}var Q=function(t){this.type=t,this.anonId=null,this.eventData={},this.queue=[],this.pendingRequest=null};Q.prototype.getStorageKey=function(t){var e,r,n=$(B.ACCESS_TOKEN);return e=n&&n.u?(r=n.u,self.btoa(encodeURIComponent(r).replace(/%([0-9A-F]{2})/g,(function(t,e){return String.fromCharCode(Number(\"0x\"+e))})))):B.ACCESS_TOKEN||\"\",t?K+\".\"+t+\":\"+e:K+\":\"+e},Q.prototype.fetchEventData=function(){var t=L(\"localStorage\"),e=this.getStorageKey(),r=this.getStorageKey(\"uuid\");if(t)try{var n=self.localStorage.getItem(e);n&&(this.eventData=JSON.parse(n));var 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r=this.queue.shift(),n=r.id,i=r.timestamp;n&&this.success[n]||(this.anonId||this.fetchEventData(),v(this.anonId)||(this.anonId=d()),this.postEvent(i,{skuToken:this.skuToken},(function(t){t||n&&(e.success[n]=!0)}),t))}},e}(Q),nt=function(t){function e(e){t.call(this,\"appUserTurnstile\"),this._customAccessToken=e}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.postTurnstileEvent=function(t,e){B.EVENTS_URL&&B.ACCESS_TOKEN&&Array.isArray(t)&&t.some((function(t){return G(t)||Y(t)}))&&this.queueRequest(Date.now(),e)},e.prototype.processRequests=function(t){var e=this;if(!this.pendingRequest&&0!==this.queue.length){this.anonId&&this.eventData.lastSuccess&&this.eventData.tokenU||this.fetchEventData();var r=$(B.ACCESS_TOKEN),n=r?r.u:B.ACCESS_TOKEN,i=n!==this.eventData.tokenU;v(this.anonId)||(this.anonId=d(),i=!0);var a=this.queue.shift();if(this.eventData.lastSuccess){var o=new Date(this.eventData.lastSuccess),s=new 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n(t){return(t=Math.round(t))<0?0:t>255?255:t}function i(t){return t<0?0:t>1?1:t}function a(t){return\"%\"===t[t.length-1]?n(parseFloat(t)/100*255):n(parseInt(t))}function o(t){return\"%\"===t[t.length-1]?i(parseFloat(t)/100):i(parseFloat(t))}function s(t,e,r){return r<0?r+=1:r>1&&(r-=1),6*r<1?t+(e-t)*r*6:2*r<1?e:3*r<2?t+(e-t)*(2/3-r)*6:t}try{e.parseCSSColor=function(t){var e,i=t.replace(/ /g,\"\").toLowerCase();if(i in r)return r[i].slice();if(\"#\"===i[0])return 4===i.length?(e=parseInt(i.substr(1),16))>=0&&e<=4095?[(3840&e)>>4|(3840&e)>>8,240&e|(240&e)>>4,15&e|(15&e)<<4,1]:null:7===i.length&&(e=parseInt(i.substr(1),16))>=0&&e<=16777215?[(16711680&e)>>16,(65280&e)>>8,255&e,1]:null;var l=i.indexOf(\"(\"),u=i.indexOf(\")\");if(-1!==l&&u+1===i.length){var c=i.substr(0,l),f=i.substr(l+1,u-(l+1)).split(\",\"),h=1;switch(c){case\"rgba\":if(4!==f.length)return null;h=o(f.pop());case\"rgb\":return 3!==f.length?null:[a(f[0]),a(f[1]),a(f[2]),h];case\"hsla\":if(4!==f.length)return 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oe=function(t,e,r){this.sensitivity=t?e?\"variant\":\"case\":e?\"accent\":\"base\",this.locale=r,this.collator=new Intl.Collator(this.locale?this.locale:[],{sensitivity:this.sensitivity,usage:\"search\"})};oe.prototype.compare=function(t,e){return this.collator.compare(t,e)},oe.prototype.resolvedLocale=function(){return new Intl.Collator(this.locale?this.locale:[]).resolvedOptions().locale};var se=function(t,e,r,n,i){this.text=t,this.image=e,this.scale=r,this.fontStack=n,this.textColor=i},le=function(t){this.sections=t};le.fromString=function(t){return new le([new se(t,null,null,null,null)])},le.prototype.isEmpty=function(){return 0===this.sections.length||!this.sections.some((function(t){return 0!==t.text.length||t.image&&0!==t.image.name.length}))},le.factory=function(t){return t instanceof le?t:le.fromString(t)},le.prototype.toString=function(){return 0===this.sections.length?\"\":this.sections.map((function(t){return t.text})).join(\"\")},le.prototype.serialize=function(){for(var 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de=function(t,e){this.type=t,this.value=e};de.parse=function(t,e){if(2!==t.length)return e.error(\"'literal' expression requires exactly one argument, but found \"+(t.length-1)+\" instead.\");if(!fe(t[1]))return e.error(\"invalid value\");var r=t[1],n=he(r),i=e.expectedType;return\"array\"!==n.kind||0!==n.N||!i||\"array\"!==i.kind||\"number\"==typeof i.N&&0!==i.N||(n=i),new de(n,r)},de.prototype.evaluate=function(){return this.value},de.prototype.eachChild=function(){},de.prototype.outputDefined=function(){return!0},de.prototype.serialize=function(){return\"array\"===this.type.kind||\"object\"===this.type.kind?[\"literal\",this.value]:this.value instanceof ae?[\"rgba\"].concat(this.value.toArray()):this.value instanceof le?this.value.serialize():this.value};var ve=function(t){this.name=\"ExpressionEvaluationError\",this.message=t};ve.prototype.toJSON=function(){return this.message};var ge={string:Ht,number:Vt,boolean:qt,object:Zt},ye=function(t,e){this.type=t,this.args=e};ye.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r,n=1,i=t[0];if(\"array\"===i){var a,o;if(t.length>2){var s=t[1];if(\"string\"!=typeof s||!(s in ge)||\"object\"===s)return e.error('The item type argument of \"array\" must be one of string, number, boolean',1);a=ge[s],n++}else a=Yt;if(t.length>3){if(null!==t[2]&&(\"number\"!=typeof t[2]||t[2]<0||t[2]!==Math.floor(t[2])))return e.error('The length argument to \"array\" must be a positive integer literal',2);o=t[2],n++}r=Kt(a,o)}else r=ge[i];for(var l=[];n<t.length;n++){var u=e.parse(t[n],n,Yt);if(!u)return null;l.push(u)}return new ye(r,l)},ye.prototype.evaluate=function(t){for(var e=0;e<this.args.length;e++){var r=this.args[e].evaluate(t);if(!te(this.type,he(r)))return r;if(e===this.args.length-1)throw new ve(\"Expected value to be of type \"+$t(this.type)+\", but found \"+$t(he(r))+\" instead.\")}return null},ye.prototype.eachChild=function(t){this.args.forEach(t)},ye.prototype.outputDefined=function(){return this.args.every((function(t){return t.outputDefined()}))},ye.prototype.serialize=function(){var t=this.type,e=[t.kind];if(\"array\"===t.kind){var r=t.itemType;if(\"string\"===r.kind||\"number\"===r.kind||\"boolean\"===r.kind){e.push(r.kind);var n=t.N;(\"number\"==typeof n||this.args.length>1)&&e.push(n)}}return e.concat(this.args.map((function(t){return t.serialize()})))};var me=function(t){this.type=Xt,this.sections=t};me.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r=t[1];if(!Array.isArray(r)&&\"object\"==typeof r)return e.error(\"First argument must be an image or text section.\");for(var n=[],i=!1,a=1;a<=t.length-1;++a){var o=t[a];if(i&&\"object\"==typeof o&&!Array.isArray(o)){i=!1;var s=null;if(o[\"font-scale\"]&&!(s=e.parse(o[\"font-scale\"],1,Vt)))return null;var l=null;if(o[\"text-font\"]&&!(l=e.parse(o[\"text-font\"],1,Kt(Ht))))return null;var u=null;if(o[\"text-color\"]&&!(u=e.parse(o[\"text-color\"],1,Gt)))return null;var c=n[n.length-1];c.scale=s,c.font=l,c.textColor=u}else{var f=e.parse(t[a],1,Yt);if(!f)return null;var h=f.type.kind;if(\"string\"!==h&&\"value\"!==h&&\"null\"!==h&&\"resolvedImage\"!==h)return e.error(\"Formatted text type must be 'string', 'value', 'image' or 'null'.\");i=!0,n.push({content:f,scale:null,font:null,textColor:null})}}return new me(n)},me.prototype.evaluate=function(t){return new le(this.sections.map((function(e){var r=e.content.evaluate(t);return he(r)===Jt?new se(\"\",r,null,null,null):new se(pe(r),null,e.scale?e.scale.evaluate(t):null,e.font?e.font.evaluate(t).join(\",\"):null,e.textColor?e.textColor.evaluate(t):null)})))},me.prototype.eachChild=function(t){for(var e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t(n.content),n.scale&&t(n.scale),n.font&&t(n.font),n.textColor&&t(n.textColor)}},me.prototype.outputDefined=function(){return!1},me.prototype.serialize=function(){for(var t=[\"format\"],e=0,r=this.sections;e<r.length;e+=1){var n=r[e];t.push(n.content.serialize());var i={};n.scale&&(i[\"font-scale\"]=n.scale.serialize()),n.font&&(i[\"text-font\"]=n.font.serialize()),n.textColor&&(i[\"text-color\"]=n.textColor.serialize()),t.push(i)}return t};var xe=function(t){this.type=Jt,this.input=t};xe.parse=function(t,e){if(2!==t.length)return e.error(\"Expected two arguments.\");var r=e.parse(t[1],1,Ht);return r?new xe(r):e.error(\"No image name provided.\")},xe.prototype.evaluate=function(t){var e=this.input.evaluate(t),r=ue.fromString(e);return r&&t.availableImages&&(r.available=t.availableImages.indexOf(e)>-1),r},xe.prototype.eachChild=function(t){t(this.input)},xe.prototype.outputDefined=function(){return!1},xe.prototype.serialize=function(){return[\"image\",this.input.serialize()]};var be={\"to-boolean\":qt,\"to-color\":Gt,\"to-number\":Vt,\"to-string\":Ht},_e=function(t,e){this.type=t,this.args=e};_e.parse=function(t,e){if(t.length<2)return e.error(\"Expected at least one argument.\");var r=t[0];if((\"to-boolean\"===r||\"to-string\"===r)&&2!==t.length)return e.error(\"Expected one argument.\");for(var n=be[r],i=[],a=1;a<t.length;a++){var o=e.parse(t[a],a,Yt);if(!o)return null;i.push(o)}return new _e(n,i)},_e.prototype.evaluate=function(t){if(\"boolean\"===this.type.kind)return Boolean(this.args[0].evaluate(t));if(\"color\"===this.type.kind){for(var e,r,n=0,i=this.args;n<i.length;n+=1){if(r=null,(e=i[n].evaluate(t))instanceof ae)return e;if(\"string\"==typeof e){var a=t.parseColor(e);if(a)return a}else if(Array.isArray(e)&&!(r=e.length<3||e.length>4?\"Invalid rbga value \"+JSON.stringify(e)+\": expected an array containing either three or four numeric values.\":ce(e[0],e[1],e[2],e[3])))return new ae(e[0]/255,e[1]/255,e[2]/255,e[3])}throw new ve(r||\"Could not parse 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xr=function(t,e){this.type=e.type,this.bindings=[].concat(t),this.result=e};xr.prototype.evaluate=function(t){return this.result.evaluate(t)},xr.prototype.eachChild=function(t){for(var e=0,r=this.bindings;e<r.length;e+=1)t(r[e][1]);t(this.result)},xr.parse=function(t,e){if(t.length<4)return e.error(\"Expected at least 3 arguments, but found \"+(t.length-1)+\" instead.\");for(var r=[],n=1;n<t.length-1;n+=2){var i=t[n];if(\"string\"!=typeof i)return e.error(\"Expected string, but found \"+typeof i+\" instead.\",n);if(/[^a-zA-Z0-9_]/.test(i))return e.error(\"Variable names must contain only alphanumeric characters or '_'.\",n);var a=e.parse(t[n+1],n+1);if(!a)return null;r.push([i,a])}var o=e.parse(t[t.length-1],t.length-1,e.expectedType,r);return o?new xr(r,o):null},xr.prototype.outputDefined=function(){return this.result.outputDefined()},xr.prototype.serialize=function(){for(var t=[\"let\"],e=0,r=this.bindings;e<r.length;e+=1){var n=r[e],i=n[0],a=n[1];t.push(i,a.serialize())}return 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_r=function(t,e){this.type=qt,this.needle=t,this.haystack=e};_r.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,Yt),n=e.parse(t[2],2,Yt);return r&&n?ee(r.type,[qt,Ht,Vt,Ut,Yt])?new _r(r,n):e.error(\"Expected first argument to be of type boolean, string, number or null, but found \"+$t(r.type)+\" instead\"):null},_r.prototype.evaluate=function(t){var e=this.needle.evaluate(t),r=this.haystack.evaluate(t);if(!r)return!1;if(!re(e,[\"boolean\",\"string\",\"number\",\"null\"]))throw new ve(\"Expected first argument to be of type boolean, string, number or null, but found \"+$t(he(e))+\" instead.\");if(!re(r,[\"string\",\"array\"]))throw new ve(\"Expected second argument to be of type array or string, but found \"+$t(he(r))+\" instead.\");return 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e=e.concat(hn({key:t.key,value:r,valueSpec:t.valueSpec,style:t.style,styleSpec:t.styleSpec,arrayElementValidator:f})),\"array\"===Yr(r)&&0===r.length&&e.push(new Dt(t.key,r,\"array must have at least one stop\")),e},default:function(t){return Bn({key:t.key,value:t.value,valueSpec:i,style:t.style,styleSpec:t.styleSpec})}}});return\"identity\"===a&&s&&c.push(new Dt(t.key,t.value,'missing required property \"property\"')),\"identity\"===a||t.value.stops||c.push(new Dt(t.key,t.value,'missing required property \"stops\"')),\"exponential\"===a&&t.valueSpec.expression&&!Zr(t.valueSpec)&&c.push(new Dt(t.key,t.value,\"exponential functions not supported\")),t.styleSpec.$version>=8&&(l&&!qr(t.valueSpec)?c.push(new Dt(t.key,t.value,\"property functions not supported\")):s&&!Gr(t.valueSpec)&&c.push(new Dt(t.key,t.value,\"zoom functions not supported\"))),\"categorical\"!==a&&!u||void 0!==t.value.property||c.push(new Dt(t.key,t.value,'\"property\" property is required')),c;function f(t){var e=[],a=t.value,s=t.key;if(\"array\"!==Yr(a))return[new Dt(s,a,\"array expected, \"+Yr(a)+\" found\")];if(2!==a.length)return[new Dt(s,a,\"array length 2 expected, length \"+a.length+\" found\")];if(u){if(\"object\"!==Yr(a[0]))return[new Dt(s,a,\"object expected, \"+Yr(a[0])+\" found\")];if(void 0===a[0].zoom)return[new Dt(s,a,\"object stop key must have zoom\")];if(void 0===a[0].value)return[new Dt(s,a,\"object stop key must have value\")];if(n&&n>Ft(a[0].zoom))return[new Dt(s,a[0].zoom,\"stop zoom values must appear in ascending order\")];Ft(a[0].zoom)!==n&&(n=Ft(a[0].zoom),r=void 0,o={}),e=e.concat(fn({key:s+\"[0]\",value:a[0],valueSpec:{zoom:{}},style:t.style,styleSpec:t.styleSpec,objectElementValidators:{zoom:pn,value:h}}))}else e=e.concat(h({key:s+\"[0]\",value:a[0],valueSpec:{},style:t.style,styleSpec:t.styleSpec},a));return nn(Bt(a[1]))?e.concat([new Dt(s+\"[1]\",a[1],\"expressions are not allowed in function stops.\")]):e.concat(Bn({key:s+\"[1]\",value:a[1],valueSpec:i,style:t.style,styleSpec:t.styleSpec}))}function h(t,n){var s=Yr(t.value),l=Ft(t.value),u=null!==t.value?t.value:n;if(e){if(s!==e)return[new Dt(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 Dt(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 qr(i)&&void 0===a&&(c+='\\nIf you intended to use a categorical function, specify `\"type\": \"categorical\"`.'),[new Dt(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 Dt(t.key,u,\"stop domain values must appear in ascending order\")]:(r=l,\"categorical\"===a&&l in o?[new Dt(t.key,u,\"stop domain values must be unique\")]:(o[l]=!0,[])):[new Dt(t.key,u,\"integer expected, found 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mn={type:\"boolean\",default:!1,transition:!1,\"property-type\":\"data-driven\",expression:{interpolated:!1,parameters:[\"zoom\",\"feature\"]}};function xn(t){if(null==t)return{filter:function(){return!0},needGeometry:!1};yn(t)||(t=wn(t));var e=an(t,mn);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:_n(t)}}function bn(t,e){return t<e?-1:t>e?1:0}function _n(t){if(!Array.isArray(t))return!1;if(\"within\"===t[0])return!0;for(var e=1;e<t.length;e++)if(_n(t[e]))return!0;return!1}function wn(t){if(!t)return!0;var e,r=t[0];return t.length<=1?\"any\"!==r:\"==\"===r?Tn(t[1],t[2],\"==\"):\"!=\"===r?Mn(Tn(t[1],t[2],\"==\")):\"<\"===r||\">\"===r||\"<=\"===r||\">=\"===r?Tn(t[1],t[2],r):\"any\"===r?(e=t.slice(1),[\"any\"].concat(e.map(wn))):\"all\"===r?[\"all\"].concat(t.slice(1).map(wn)):\"none\"===r?[\"all\"].concat(t.slice(1).map(wn).map(Mn)):\"in\"===r?kn(t[1],t.slice(2)):\"!in\"===r?Mn(kn(t[1],t.slice(2))):\"has\"===r?An(t[1]):\"!has\"===r?Mn(An(t[1])):\"within\"!==r||t}function Tn(t,e,r){switch(t){case\"$type\":return[\"filter-type-\"+r,e];case\"$id\":return[\"filter-id-\"+r,e];default:return[\"filter-\"+r,t,e]}}function kn(t,e){if(0===e.length)return!1;switch(t){case\"$type\":return[\"filter-type-in\",[\"literal\",e]];case\"$id\":return[\"filter-id-in\",[\"literal\",e]];default:return e.length>200&&!e.some((function(t){return typeof t!=typeof e[0]}))?[\"filter-in-large\",t,[\"literal\",e.sort(bn)]]:[\"filter-in-small\",t,[\"literal\",e]]}}function 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found\"));for(var o=2;o<e.length;o++)n=Yr(e[o]),\"$type\"===Ft(e[1])?a=a.concat(gn({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 Dt(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(En({key:r+\"[\"+s+\"]\",value:e[s],style:t.style,styleSpec:t.styleSpec}));break;case\"has\":case\"!has\":n=Yr(e[1]),2!==e.length?a.push(new Dt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"string\"!==n&&a.push(new Dt(r+\"[1]\",e[1],\"string expected, \"+n+\" found\"));break;case\"within\":n=Yr(e[1]),2!==e.length?a.push(new Dt(r,e,'filter array for \"'+e[0]+'\" operator must have 2 elements')):\"object\"!==n&&a.push(new Dt(r+\"[1]\",e[1],\"object expected, \"+n+\" found\"))}return a}function Ln(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$/);if(\"paint\"===e&&l&&s[l[1]]&&s[l[1]].transition)return Bn({key:r,value:a,valueSpec:i.transition,style:n,styleSpec:i});var u,c=t.valueSpec||s[o];if(!c)return[new Dt(r,a,'unknown property \"'+o+'\"')];if(\"string\"===Yr(a)&&qr(c)&&!c.tokens&&(u=/^{([^}]+)}$/.exec(a)))return[new Dt(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 Dt(r,a,'use of \"text-field\" requires a style \"glyphs\" property')),\"text-font\"===o&&Wr(Bt(a))&&\"identity\"===Ft(a.type)&&f.push(new Dt(r,a,'\"text-font\" does not support identity 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h=i.sources&&i.sources[r.source],p=h&&Ft(h.type);h?\"vector\"===p&&\"raster\"===s?e.push(new Dt(n,r.source,'layer \"'+r.id+'\" requires a raster source')):\"raster\"===p&&\"raster\"!==s?e.push(new Dt(n,r.source,'layer \"'+r.id+'\" requires a vector source')):\"vector\"!==p||r[\"source-layer\"]?\"raster-dem\"===p&&\"hillshade\"!==s?e.push(new Dt(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 Dt(n,r,'layer \"'+r.id+'\" specifies a line-gradient, which requires a GeoJSON source with `lineMetrics` enabled.')):e.push(new Dt(n,r,'layer \"'+r.id+'\" must specify a \"source-layer\"')):e.push(new Dt(n,r.source,'source \"'+r.source+'\" not found'))}else e.push(new Dt(n,r,'missing required property \"source\"'));return e=e.concat(fn({key:n,value:r,valueSpec:a.layer,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(){return[]},type:function(){return Bn({key:n+\".type\",value:r.type,valueSpec:a.layer.type,style:t.style,styleSpec:t.styleSpec,object:r,objectKey:\"type\"})},filter:Sn,layout:function(t){return fn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Pn(Rt({layerType:s},t))}}})},paint:function(t){return fn({layer:r,key:t.key,value:t.value,style:t.style,styleSpec:t.styleSpec,objectElementValidators:{\"*\":function(t){return Cn(Rt({layerType:s},t))}}})}}})),e}function In(t){var e=t.value,r=t.key,n=Yr(e);return\"string\"!==n?[new Dt(r,e,\"string expected, \"+n+\" found\")]:[]}var Dn={promoteId:function(t){var e=t.key,r=t.value;if(\"string\"===Yr(r))return In({key:e,value:r});var n=[];for(var i in r)n.push.apply(n,In({key:e+\".\"+i,value:r[i]}));return n}};function zn(t){var e=t.value,r=t.key,n=t.styleSpec,i=t.style;if(!e.type)return[new Dt(r,e,'\"type\" is required')];var a,o=Ft(e.type);switch(o){case\"vector\":case\"raster\":case\"raster-dem\":return fn({key:r,value:e,valueSpec:n[\"source_\"+o.replace(\"-\",\"_\")],style:t.style,styleSpec:n,objectElementValidators:Dn});case\"geojson\":if(a=fn({key:r,value:e,valueSpec:n.source_geojson,style:i,styleSpec:n,objectElementValidators:Dn}),e.cluster)for(var s in e.clusterProperties){var l=e.clusterProperties[s],u=l[0],c=l[1],f=\"string\"==typeof u?[u,[\"accumulated\"],[\"get\",s]]:u;a.push.apply(a,vn({key:r+\".\"+s+\".map\",value:c,expressionContext:\"cluster-map\"})),a.push.apply(a,vn({key:r+\".\"+s+\".reduce\",value:f,expressionContext:\"cluster-reduce\"}))}return a;case\"video\":return fn({key:r,value:e,valueSpec:n.source_video,style:i,styleSpec:n});case\"image\":return fn({key:r,value:e,valueSpec:n.source_image,style:i,styleSpec:n});case\"canvas\":return[new Dt(r,null,\"Please use runtime APIs to add canvas 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r=r.concat(Bn({key:\"\",value:t,valueSpec:e.$root,styleSpec:e,style:t,objectElementValidators:{glyphs:Nn,\"*\":function(){return[]}}})),t.constants&&(r=r.concat(zt({key:\"constants\",value:t.constants,style:t,styleSpec:e}))),Un(r)}function Un(t){return[].concat(t).sort((function(t,e){return t.line-e.line}))}function Vn(t){return function(){for(var e=[],r=arguments.length;r--;)e[r]=arguments[r];return Un(t.apply(this,e))}}jn.source=Vn(zn),jn.light=Vn(Rn),jn.layer=Vn(On),jn.filter=Vn(Sn),jn.paintProperty=Vn(Cn),jn.layoutProperty=Vn(Pn);var Hn=jn,qn=Hn.light,Gn=Hn.paintProperty,Zn=Hn.layoutProperty;function Yn(t,e){var r=!1;if(e&&e.length)for(var n=0,i=e;n<i.length;n+=1){var a=i[n];t.fire(new Pt(new Error(a.message))),r=!0}return r}var Wn=Xn;function Xn(t,e,r){var n=this.cells=[];if(t instanceof ArrayBuffer){this.arrayBuffer=t;var i=new Int32Array(this.arrayBuffer);t=i[0],e=i[1],r=i[2],this.d=e+2*r;for(var a=0;a<this.d*this.d;a++){var o=i[3+a],s=i[3+a+1];n.push(o===s?null:i.subarray(o,s))}var l=i[3+n.length],u=i[3+n.length+1];this.keys=i.subarray(l,u),this.bboxes=i.subarray(u),this.insert=this._insertReadonly}else{this.d=e+2*r;for(var c=0;c<this.d*this.d;c++)n.push([]);this.keys=[],this.bboxes=[]}this.n=e,this.extent=t,this.padding=r,this.scale=e/t,this.uid=0;var f=r/e*t;this.min=-f,this.max=t+f}Xn.prototype.insert=function(t,e,r,n,i){this._forEachCell(e,r,n,i,this._insertCell,this.uid++),this.keys.push(t),this.bboxes.push(e),this.bboxes.push(r),this.bboxes.push(n),this.bboxes.push(i)},Xn.prototype._insertReadonly=function(){throw\"Cannot insert into a GridIndex created from an ArrayBuffer.\"},Xn.prototype._insertCell=function(t,e,r,n,i,a){this.cells[i].push(a)},Xn.prototype.query=function(t,e,r,n,i){var a=this.min,o=this.max;if(t<=a&&e<=a&&o<=r&&o<=n&&!i)return Array.prototype.slice.call(this.keys);var s=[];return this._forEachCell(t,e,r,n,this._queryCell,s,{},i),s},Xn.prototype._queryCell=function(t,e,r,n,i,a,o,s){var l=this.cells[i];if(null!==l)for(var u=this.keys,c=this.bboxes,f=0;f<l.length;f++){var h=l[f];if(void 0===o[h]){var p=4*h;(s?s(c[p+0],c[p+1],c[p+2],c[p+3]):t<=c[p+2]&&e<=c[p+3]&&r>=c[p+0]&&n>=c[p+1])?(o[h]=!0,a.push(u[h])):o[h]=!1}}},Xn.prototype._forEachCell=function(t,e,r,n,i,a,o,s){for(var l=this._convertToCellCoord(t),u=this._convertToCellCoord(e),c=this._convertToCellCoord(r),f=this._convertToCellCoord(n),h=l;h<=c;h++)for(var p=u;p<=f;p++){var d=this.d*p+h;if((!s||s(this._convertFromCellCoord(h),this._convertFromCellCoord(p),this._convertFromCellCoord(h+1),this._convertFromCellCoord(p+1)))&&i.call(this,t,e,r,n,d,a,o,s))return}},Xn.prototype._convertFromCellCoord=function(t){return(t-this.padding)/this.scale},Xn.prototype._convertToCellCoord=function(t){return Math.max(0,Math.min(this.d-1,Math.floor(t*this.scale)+this.padding))},Xn.prototype.toArrayBuffer=function(){if(this.arrayBuffer)return this.arrayBuffer;for(var t=this.cells,e=3+this.cells.length+1+1,r=0,n=0;n<this.cells.length;n++)r+=this.cells[n].length;var i=new Int32Array(e+r+this.keys.length+this.bboxes.length);i[0]=this.extent,i[1]=this.n,i[2]=this.padding;for(var a=e,o=0;o<t.length;o++){var s=t[o];i[3+o]=a,i.set(s,a),a+=s.length}return i[3+t.length]=a,i.set(this.keys,a),a+=this.keys.length,i[3+t.length+1]=a,i.set(this.bboxes,a),a+=this.bboxes.length,i.buffer};var Jn=self.ImageData,Kn=self.ImageBitmap,$n={};function Qn(t,e,r){void 0===r&&(r={}),Object.defineProperty(e,\"_classRegistryKey\",{value:t,writeable:!1}),$n[t]={klass:e,omit:r.omit||[],shallow:r.shallow||[]}}for(var ti in Qn(\"Object\",Object),Wn.serialize=function(t,e){var r=t.toArrayBuffer();return e&&e.push(r),{buffer:r}},Wn.deserialize=function(t){return new Wn(t.buffer)},Qn(\"Grid\",Wn),Qn(\"Color\",ae),Qn(\"Error\",Error),Qn(\"ResolvedImage\",ue),Qn(\"StylePropertyFunction\",un),Qn(\"StyleExpression\",rn,{omit:[\"_evaluator\"]}),Qn(\"ZoomDependentExpression\",sn),Qn(\"ZoomConstantExpression\",on),Qn(\"CompoundExpression\",ke,{omit:[\"_evaluate\"]}),Fr)Fr[ti]._classRegistryKey||Qn(\"Expression_\"+ti,Fr[ti]);function ei(t){return t&&\"undefined\"!=typeof ArrayBuffer&&(t instanceof ArrayBuffer||t.constructor&&\"ArrayBuffer\"===t.constructor.name)}function ri(t){return Kn&&t instanceof Kn}function ni(t,e){if(null==t||\"boolean\"==typeof t||\"number\"==typeof t||\"string\"==typeof t||t instanceof Boolean||t instanceof Number||t instanceof String||t instanceof Date||t instanceof RegExp)return t;if(ei(t)||ri(t))return e&&e.push(t),t;if(ArrayBuffer.isView(t)){var r=t;return e&&e.push(r.buffer),r}if(t instanceof Jn)return e&&e.push(t.data.buffer),t;if(Array.isArray(t)){for(var n=[],i=0,a=t;i<a.length;i+=1){var o=a[i];n.push(ni(o,e))}return 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t&&t.indexOf(\"NetworkError\")>-1&&(xi=yi),mi&&mi(t)};function wi(){Ti.fire(new Ct(\"pluginStateChange\",{pluginStatus:xi,pluginURL:bi}))}var Ti=new Ot,ki=function(){return xi},Ai=function(){if(xi!==di||!bi)throw new Error(\"rtl-text-plugin cannot be downloaded unless a pluginURL is specified\");xi=vi,wi(),bi&&Tt({url:bi},(function(t){t?_i(t):(xi=gi,wi())}))},Mi={applyArabicShaping:null,processBidirectionalText:null,processStyledBidirectionalText:null,isLoaded:function(){return xi===gi||null!=Mi.applyArabicShaping},isLoading:function(){return xi===vi},setState:function(t){xi=t.pluginStatus,bi=t.pluginURL},isParsed:function(){return null!=Mi.applyArabicShaping&&null!=Mi.processBidirectionalText&&null!=Mi.processStyledBidirectionalText},getPluginURL:function(){return bi}},Si=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 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0===e?t.specification.default:e,t.specification)};Ei.prototype.isDataDriven=function(){return\"source\"===this.expression.kind||\"composite\"===this.expression.kind},Ei.prototype.possiblyEvaluate=function(t,e,r){return this.property.possiblyEvaluate(this,t,e,r)};var Li=function(t){this.property=t,this.value=new Ei(t,void 0)};Li.prototype.transitioned=function(t,e){return new Pi(this.property,this.value,e,f({},t.transition,this.transition),t.now)},Li.prototype.untransitioned=function(){return new Pi(this.property,this.value,null,{},0)};var Ci=function(t){this._properties=t,this._values=Object.create(t.defaultTransitionablePropertyValues)};Ci.prototype.getValue=function(t){return b(this._values[t].value.value)},Ci.prototype.setValue=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Li(this._values[t].property)),this._values[t].value=new Ei(this._values[t].property,null===e?void 0:b(e))},Ci.prototype.getTransition=function(t){return b(this._values[t].transition)},Ci.prototype.setTransition=function(t,e){this._values.hasOwnProperty(t)||(this._values[t]=new Li(this._values[t].property)),this._values[t].transition=b(e)||void 0},Ci.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},Ci.prototype.transitioned=function(t,e){for(var r=new Oi(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},Ci.prototype.untransitioned=function(){for(var t=new Oi(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 Pi=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)};Pi.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 Oi=function(t){this._properties=t,this._values=Object.create(t.defaultTransitioningPropertyValues)};Oi.prototype.possiblyEvaluate=function(t,e,r){for(var n=new zi(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 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Di=function(t,e,r){this.property=t,this.value=e,this.parameters=r};Di.prototype.isConstant=function(){return\"constant\"===this.value.kind},Di.prototype.constantOr=function(t){return\"constant\"===this.value.kind?this.value.value:t},Di.prototype.evaluate=function(t,e,r,n){return this.property.evaluate(this.value,this.parameters,t,e,r,n)};var zi=function(t){this._properties=t,this._values=Object.create(t.defaultPossiblyEvaluatedValues)};zi.prototype.get=function(t){return this._values[t]};var Ri=function(t){this.specification=t};Ri.prototype.possiblyEvaluate=function(t,e){return t.expression.evaluate(e)},Ri.prototype.interpolate=function(t,e,r){var n=$e[this.specification.type];return n?n(t,e,r):t};var Fi=function(t,e){this.specification=t,this.overrides=e};Fi.prototype.possiblyEvaluate=function(t,e,r,n){return\"constant\"===t.expression.kind||\"camera\"===t.expression.kind?new Di(this,{kind:\"constant\",value:t.expression.evaluate(e,null,{},r,n)},e):new Di(this,t.expression,e)},Fi.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 Di(this,{kind:\"constant\",value:void 0},t.parameters);var n=$e[this.specification.type];return n?new Di(this,{kind:\"constant\",value:n(t.value.value,e.value.value,r)},t.parameters):t},Fi.prototype.evaluate=function(t,e,r,n,i,a){return\"constant\"===t.kind?t.value:t.evaluate(e,r,n,i,a)};var Bi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0===t.value)return new Di(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 Di(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 Di(this,{kind:\"constant\",value:s},e)}return new Di(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}(Fi),Ni=function(t){this.specification=t};Ni.prototype.possiblyEvaluate=function(t,e,r,n){if(void 0!==t.value){if(\"constant\"===t.expression.kind){var i=t.expression.evaluate(e,null,{},r,n);return this._calculate(i,i,i,e)}return this._calculate(t.expression.evaluate(new Si(Math.floor(e.zoom-1),e)),t.expression.evaluate(new Si(Math.floor(e.zoom),e)),t.expression.evaluate(new Si(Math.floor(e.zoom+1),e)),e)}},Ni.prototype._calculate=function(t,e,r,n){return n.zoom>n.zoomHistory.lastIntegerZoom?{from:t,to:e}:{from:r,to:e}},Ni.prototype.interpolate=function(t){return t};var ji=function(t){this.specification=t};ji.prototype.possiblyEvaluate=function(t,e,r,n){return!!t.expression.evaluate(e,null,{},r,n)},ji.prototype.interpolate=function(){return!1};var Ui=function(t){for(var e in this.properties=t,this.defaultPropertyValues={},this.defaultTransitionablePropertyValues={},this.defaultTransitioningPropertyValues={},this.defaultPossiblyEvaluatedValues={},this.overridableProperties=[],t){var r=t[e];r.specification.overridable&&this.overridableProperties.push(e);var n=this.defaultPropertyValues[e]=new Ei(r,void 0),i=this.defaultTransitionablePropertyValues[e]=new 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zi(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(Zn,n,t,e,r))return}\"visibility\"!==t?this._unevaluatedLayout.setValue(t,e):this.visibility=e},e.prototype.getPaintProperty=function(t){return y(t,Vi)?this._transitionablePaint.getTransition(t.slice(0,-Vi.length)):this._transitionablePaint.getValue(t)},e.prototype.setPaintProperty=function(t,e,r){if(void 0===r&&(r={}),null!=e){var n=\"layers.\"+this.id+\".paint.\"+t;if(this._validate(Gn,n,t,e,r))return!1}if(y(t,Vi))return this._transitionablePaint.setTransition(t.slice(0,-Vi.length),e||void 0),!1;var i=this._transitionablePaint._values[t],a=\"cross-faded-data-driven\"===i.property.specification[\"property-type\"],o=i.value.isDataDriven(),s=i.value;this._transitionablePaint.setValue(t,e),this._handleSpecialPaintPropertyUpdate(t);var l=this._transitionablePaint._values[t].value;return l.isDataDriven()||o||a||this._handleOverridablePaintPropertyUpdate(t,s,l)},e.prototype._handleSpecialPaintPropertyUpdate=function(t){},e.prototype._handleOverridablePaintPropertyUpdate=function(t,e,r){return!1},e.prototype.isHidden=function(t){return!!(this.minzoom&&t<this.minzoom)||!!(this.maxzoom&&t>=this.maxzoom)||\"none\"===this.visibility},e.prototype.updateTransitions=function(t){this._transitioningPaint=this._transitionablePaint.transitioned(t,this._transitioningPaint)},e.prototype.hasTransition=function(){return this._transitioningPaint.hasTransition()},e.prototype.recalculate=function(t,e){t.getCrossfadeParameters&&(this._crossfadeParameters=t.getCrossfadeParameters()),this._unevaluatedLayout&&(this.layout=this._unevaluatedLayout.possiblyEvaluate(t,void 0,e)),this.paint=this._transitioningPaint.possiblyEvaluate(t,void 0,e)},e.prototype.serialize=function(){var t={id:this.id,type:this.type,source:this.source,\"source-layer\":this.sourceLayer,metadata:this.metadata,minzoom:this.minzoom,maxzoom:this.maxzoom,filter:this.filter,layout:this._unevaluatedLayout&&this._unevaluatedLayout.serialize(),paint:this._transitionablePaint&&this._transitionablePaint.serialize()};return this.visibility&&(t.layout=t.layout||{},t.layout.visibility=this.visibility),x(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 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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}(Zi);Ki.prototype.bytesPerElement=12,Qn(\"StructArrayLayout2i4i12\",Ki);var $i=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a){var o=this.length;return this.resize(o+1),this.emplace(o,t,e,r,n,i,a)},e.prototype.emplace=function(t,e,r,n,i,a,o){var s=4*t,l=8*t;return this.int16[s+0]=e,this.int16[s+1]=r,this.uint8[l+4]=n,this.uint8[l+5]=i,this.uint8[l+6]=a,this.uint8[l+7]=o,t},e}(Zi);$i.prototype.bytesPerElement=8,Qn(\"StructArrayLayout2i4ub8\",$i);var Qi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u){var c=this.length;return this.resize(c+1),this.emplace(c,t,e,r,n,i,a,o,s,l,u)},e.prototype.emplace=function(t,e,r,n,i,a,o,s,l,u,c){var f=9*t,h=18*t;return this.uint16[f+0]=e,this.uint16[f+1]=r,this.uint16[f+2]=n,this.uint16[f+3]=i,this.uint16[f+4]=a,this.uint16[f+5]=o,this.uint16[f+6]=s,this.uint16[f+7]=l,this.uint8[h+16]=u,this.uint8[h+17]=c,t},e}(Zi);Qi.prototype.bytesPerElement=18,Qn(\"StructArrayLayout8ui2ub18\",Qi);var ta=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new 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this.int16[m+0]=e,this.int16[m+1]=r,this.uint16[m+2]=n,this.uint16[m+3]=i,this.uint32[x+2]=a,this.uint32[x+3]=o,this.uint32[x+4]=s,this.uint16[m+10]=l,this.uint16[m+11]=u,this.uint16[m+12]=c,this.float32[x+7]=f,this.float32[x+8]=h,this.uint8[b+36]=p,this.uint8[b+37]=d,this.uint8[b+38]=v,this.uint32[x+10]=g,this.int16[m+22]=y,t},e}(Zi);la.prototype.bytesPerElement=48,Qn(\"StructArrayLayout2i2ui3ul3ui2f3ub1ul1i48\",la);var ua=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.int16=new Int16Array(this.arrayBuffer),this.uint16=new Uint16Array(this.arrayBuffer),this.uint32=new Uint32Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n,i,a,o,s,l,u,c,f,h,p,d,v,g,y,m,x,b,_,w,T,k,A,M,S){var E=this.length;return 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t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e){var r=this.length;return this.resize(r+1),this.emplace(r,t,e)},e.prototype.emplace=function(t,e,r){var n=2*t;return this.float32[n+0]=e,this.float32[n+1]=r,t},e}(Zi);va.prototype.bytesPerElement=8,Qn(\"StructArrayLayout2f8\",va);var ga=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._refreshViews=function(){this.uint8=new Uint8Array(this.arrayBuffer),this.float32=new Float32Array(this.arrayBuffer)},e.prototype.emplaceBack=function(t,e,r,n){var i=this.length;return this.resize(i+1),this.emplace(i,t,e,r,n)},e.prototype.emplace=function(t,e,r,n,i){var a=4*t;return this.float32[a+0]=e,this.float32[a+1]=r,this.float32[a+2]=n,this.float32[a+3]=i,t},e}(Zi);ga.prototype.bytesPerElement=16,Qn(\"StructArrayLayout4f16\",ga);var ya=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var r={anchorPointX:{configurable:!0},anchorPointY:{configurable:!0},x1:{configurable:!0},y1:{configurable:!0},x2:{configurable:!0},y2:{configurable:!0},featureIndex:{configurable:!0},sourceLayerIndex:{configurable:!0},bucketIndex:{configurable:!0},anchorPoint:{configurable:!0}};return r.anchorPointX.get=function(){return this._structArray.int16[this._pos2+0]},r.anchorPointY.get=function(){return this._structArray.int16[this._pos2+1]},r.x1.get=function(){return this._structArray.int16[this._pos2+2]},r.y1.get=function(){return this._structArray.int16[this._pos2+3]},r.x2.get=function(){return this._structArray.int16[this._pos2+4]},r.y2.get=function(){return this._structArray.int16[this._pos2+5]},r.featureIndex.get=function(){return this._structArray.uint32[this._pos4+3]},r.sourceLayerIndex.get=function(){return this._structArray.uint16[this._pos2+8]},r.bucketIndex.get=function(){return this._structArray.uint16[this._pos2+9]},r.anchorPoint.get=function(){return new a(this.anchorPointX,this.anchorPointY)},Object.defineProperties(e.prototype,r),e}(Gi);ya.prototype.size=20;var ma=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new ya(this,t)},e}(na);Qn(\"CollisionBoxArray\",ma);var xa=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var 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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}(Gi);xa.prototype.size=48;var ba=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.get=function(t){return new xa(this,t)},e}(la);Qn(\"PlacedSymbolArray\",ba);var _a=function(t){function e(){t.apply(this,arguments)}t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e;var 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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 this._structArray.uint16[this._pos2+11]},r.verticalTextBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+12]},r.iconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+13]},r.iconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+14]},r.verticalIconBoxStartIndex.get=function(){return this._structArray.uint16[this._pos2+15]},r.verticalIconBoxEndIndex.get=function(){return this._structArray.uint16[this._pos2+16]},r.featureIndex.get=function(){return this._structArray.uint16[this._pos2+17]},r.numHorizontalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+18]},r.numVerticalGlyphVertices.get=function(){return this._structArray.uint16[this._pos2+19]},r.numIconVertices.get=function(){return this._structArray.uint16[this._pos2+20]},r.numVerticalIconVertices.get=function(){return this._structArray.uint16[this._pos2+21]},r.useRuntimeCollisionCircles.get=function(){return 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Si(0),e,{},n,[],i);this.paintVertexArray.resize(t),this._setPaintValue(a,t,o)},Qa.prototype.updatePaintArray=function(t,e,r,n){var i=this.expression.evaluate({zoom:0},r,n);this._setPaintValue(t,e,i)},Qa.prototype._setPaintValue=function(t,e,r){if(\"color\"===this.type)for(var n=Ja(r),i=t;i<e;i++)this.paintVertexArray.emplace(i,n[0],n[1]);else{for(var a=t;a<e;a++)this.paintVertexArray.emplace(a,r);this.maxValue=Math.max(this.maxValue,Math.abs(r))}},Qa.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))},Qa.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()};var 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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))}},to.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))},to.prototype.destroy=function(){this.paintVertexBuffer&&this.paintVertexBuffer.destroy()},to.prototype.setUniform=function(t,e){var r=this.useIntegerZoom?Math.floor(e.zoom):e.zoom,n=u(this.expression.interpolationFactor(r,this.zoom,this.zoom+1),0,1);t.set(n)},to.prototype.getBinding=function(t,e,r){return new Ha(t,e)};var eo=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};eo.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)},eo.prototype.updatePaintArray=function(t,e,r,n,i){this._setPaintValues(t,e,r.patterns&&r.patterns[this.layerId],i)},eo.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 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t.paint._values)if(r(a)){var o=t.paint.get(a);if(o instanceof Di&&qr(o.property.specification)){var s=io(a,t.type),l=o.value,u=o.property.specification.type,c=o.property.useIntegerZoom,f=o.property.specification[\"property-type\"],h=\"cross-faded\"===f||\"cross-faded-data-driven\"===f;if(\"constant\"===l.kind)this.binders[a]=h?new $a(l.value,s):new Ka(l.value,s,u),i.push(\"/u_\"+a);else if(\"source\"===l.kind||h){var p=ao(a,u,\"source\");this.binders[a]=h?new eo(l,u,c,e,p,t.id):new Qa(l,s,u,p),i.push(\"/a_\"+a)}else{var d=ao(a,u,\"composite\");this.binders[a]=new to(l,s,u,c,e,d),i.push(\"/z_\"+a)}}}this.cacheKey=i.sort().join(\"\")};ro.prototype.getMaxValue=function(t){var e=this.binders[t];return e instanceof Qa||e instanceof to?e.maxValue:0},ro.prototype.populatePaintArrays=function(t,e,r,n,i){for(var a in this.binders){var o=this.binders[a];(o instanceof Qa||o instanceof to||o instanceof 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Ka||i instanceof $a||i instanceof to)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},ro.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)}},ro.prototype.updatePaintBuffers=function(t){for(var e in this._buffers=[],this.binders){var r=this.binders[e];if(t&&r instanceof eo){var n=2===t.fromScale?r.zoomInPaintVertexBuffer:r.zoomOutPaintVertexBuffer;n&&this._buffers.push(n)}else(r instanceof Qa||r instanceof to)&&r.paintVertexBuffer&&this._buffers.push(r.paintVertexBuffer)}},ro.prototype.upload=function(t){for(var e in this.binders){var r=this.binders[e];(r instanceof Qa||r instanceof to||r instanceof eo)&&r.upload(t)}this.updatePaintBuffers()},ro.prototype.destroy=function(){for(var t in this.binders){var e=this.binders[t];(e instanceof Qa||e instanceof to||e instanceof eo)&&e.destroy()}};var no=function(t,e,r,n){void 0===n&&(n=function(){return!0}),this.programConfigurations={};for(var i=0,a=e;i<a.length;i+=1){var o=a[i];this.programConfigurations[o.id]=new ro(o,r,n,t)}this.needsUpload=!1,this._featureMap=new Ra,this._bufferOffset=0};function 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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 Gs(t,e,r){if(3===t){var n=new Vs(r,r.readVarint()+r.pos);n.length&&(e[n.name]=n)}}Hs.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 Bs(this._pbf,e,this.extent,this._keys,this._values)};var Zs={VectorTile:function(t,e){this.layers=t.readFields(Gs,{},e)},VectorTileFeature:Bs,VectorTileLayer:Vs},Ys=Zs.VectorTileFeature.types,Ws=Math.pow(2,13);function Xs(t,e,r,n,i,a,o,s){t.emplaceBack(e,r,2*Math.floor(n*Ws)+o,i*Ws*2,a*Ws*2,Math.round(s))}var Js=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 Ki,this.indexArray=new sa,this.programConfigurations=new no(Fs,t.layers,t.zoom),this.segments=new Ea,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};function Ks(t,e){return t.x===e.x&&(t.x<0||t.x>oo)||t.y===e.y&&(t.y<0||t.y>oo)}Js.prototype.populate=function(t,e,r){this.features=[],this.hasPattern=Ps(\"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={type:o.type,id:s,properties:o.properties,geometry:c?uo(o):[]};if(this.layers[0]._featureFilter.filter(new Si(this.zoom),f,r)){var h={id:s,sourceLayerIndex:u,index:l,geometry:c?f.geometry:uo(o),properties:o.properties,type:o.type,patterns:{}};void 0!==o.id&&(h.id=o.id),this.hasPattern?this.features.push(Os(\"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)}}},Js.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)}},Js.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},Js.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},Js.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},Js.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,Fs),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},Js.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},Js.prototype.addFeature=function(t,e,r,n,i){for(var a=0,o=Ls(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>oo}))||O.every((function(t){return t.y<0}))||O.every((function(t){return t.y>oo}))))for(var v=0,g=0;g<d.length;g++){var y=d[g];if(g>=1){var m=d[g-1];if(!Ks(y,m)){f.vertexLength+4>Ea.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),Xs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,0,v),Xs(this.layoutVertexArray,y.x,y.y,x.x,x.y,0,1,v),v+=b,Xs(this.layoutVertexArray,m.x,m.y,x.x,x.y,0,0,v),Xs(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>Ea.MAX_VERTEX_ARRAY_LENGTH&&(f=this.segments.prepareSegment(l,this.layoutVertexArray,this.indexArray)),\"Polygon\"===Ys[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];Xs(this.layoutVertexArray,L.x,L.y,0,0,1,1,0),w.push(L.x),w.push(L.y)}}}for(var C=Ko(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)},Qn(\"FillExtrusionBucket\",Js,{omit:[\"layers\",\"features\"]});var $s={paint:new Ui({\"fill-extrusion-opacity\":new Ri(It[\"paint_fill-extrusion\"][\"fill-extrusion-opacity\"]),\"fill-extrusion-color\":new Fi(It[\"paint_fill-extrusion\"][\"fill-extrusion-color\"]),\"fill-extrusion-translate\":new Ri(It[\"paint_fill-extrusion\"][\"fill-extrusion-translate\"]),\"fill-extrusion-translate-anchor\":new Ri(It[\"paint_fill-extrusion\"][\"fill-extrusion-translate-anchor\"]),\"fill-extrusion-pattern\":new Bi(It[\"paint_fill-extrusion\"][\"fill-extrusion-pattern\"]),\"fill-extrusion-height\":new Fi(It[\"paint_fill-extrusion\"][\"fill-extrusion-height\"]),\"fill-extrusion-base\":new Fi(It[\"paint_fill-extrusion\"][\"fill-extrusion-base\"]),\"fill-extrusion-vertical-gradient\":new Ri(It[\"paint_fill-extrusion\"][\"fill-extrusion-vertical-gradient\"])})},Qs=function(t){function e(e){t.call(this,e,$s)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.createBucket=function(t){return new Js(t)},e.prototype.queryRadius=function(){return Ao(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=Mo(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];zo(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,D=new a((k+s)/L,(A+l)/L);D.z=E/L,y.push(D);var z=new a(C/I,P/I);z.z=O/I,m.push(z)}i.push(y),o.push(m)}return[i,o]}(n,f,c,l);return function(t,e,r){var n=1/0;vo(r,e)&&(n=el(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];ho(r,f)&&(n=Math.min(n,el(r,f)))}return n!==1/0&&n}(p[0],p[1],h)},e}(Hi);function tl(t,e){return t.x*e.x+t.y*e.y}function el(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=tl(s,s),f=tl(s,l),h=tl(l,l),p=tl(u,s),d=tl(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 rl=Yi([{name:\"a_pos_normal\",components:2,type:\"Int16\"},{name:\"a_data\",components:4,type:\"Uint8\"}],4).members,nl=Zs.VectorTileFeature.types,il=Math.cos(Math.PI/180*37.5),al=Math.pow(2,14)/.5,ol=function(t){this.zoom=t.zoom,this.overscaling=t.overscaling,this.layers=t.layers,this.layerIds=this.layers.map((function(t){return t.id})),this.index=t.index,this.hasPattern=!1,this.patternFeatures=[],this.layoutVertexArray=new $i,this.indexArray=new sa,this.programConfigurations=new no(rl,t.layers,t.zoom),this.segments=new Ea,this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id}))};ol.prototype.populate=function(t,e,r){this.hasPattern=Ps(\"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={type:l.type,id:u,properties:l.properties,geometry:h?uo(l):[]};if(this.layers[0]._featureFilter.filter(new Si(this.zoom),p,r)){h||(p.geometry=uo(l));var d=n?n.evaluate(p,{},r):void 0,v={id:u,properties:l.properties,type:l.type,sourceLayerIndex:f,index:c,geometry:p.geometry,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=Os(\"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)}},ol.prototype.update=function(t,e,r){this.stateDependentLayers.length&&this.programConfigurations.updatePaintArrays(t,e,this.stateDependentLayers,r)},ol.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)}},ol.prototype.isEmpty=function(){return 0===this.layoutVertexArray.length},ol.prototype.uploadPending=function(){return!this.uploaded||this.programConfigurations.needsUpload},ol.prototype.upload=function(t){this.uploaded||(this.layoutVertexBuffer=t.createVertexBuffer(this.layoutVertexArray,rl),this.indexBuffer=t.createIndexBuffer(this.indexArray)),this.programConfigurations.upload(t),this.uploaded=!0},ol.prototype.destroy=function(){this.layoutVertexBuffer&&(this.layoutVertexBuffer.destroy(),this.indexBuffer.destroy(),this.programConfigurations.destroy(),this.segments.destroy())},ol.prototype.addFeature=function(t,e,r,n,i){for(var a=this.layers[0].layout,o=a.get(\"line-join\").evaluate(t,{}),s=a.get(\"line-cap\"),l=a.get(\"line-miter-limit\"),u=a.get(\"line-round-limit\"),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)},ol.prototype.addLine=function(t,e,r,n,i,a){if(this.distance=0,this.scaledDistance=0,this.totalDistance=0,e.properties&&e.properties.hasOwnProperty(\"mapbox_clip_start\")&&e.properties.hasOwnProperty(\"mapbox_clip_end\")){this.clipStart=+e.properties.mapbox_clip_start,this.clipEnd=+e.properties.mapbox_clip_end;for(var o=0;o<t.length-1;o++)this.totalDistance+=t[o].dist(t[o+1]);this.updateScaledDistance()}for(var s=\"Polygon\"===nl[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?122880/(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<il&&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),D=1;D<I;D++){var z=D/I;if(.5!==z){var R=z-.5;z+=z*R*(z-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(z)._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}}}}},ol.prototype.addCurrentVertex=function(t,e,r,n,i,a){void 0===a&&(a=!1);var o=e.x+e.y*r,s=e.y-e.x*r,l=-e.x+e.y*n,u=-e.y-e.x*n;this.addHalfVertex(t,o,s,a,!1,r,i),this.addHalfVertex(t,l,u,a,!0,-n,i),this.distance>al/2&&0===this.totalDistance&&(this.distance=0,this.addCurrentVertex(t,e,r,n,i,a))},ol.prototype.addHalfVertex=function(t,e,r,n,i,a,o){var s=t.x,l=t.y,u=.5*this.scaledDistance;this.layoutVertexArray.emplaceBack((s<<1)+(n?1:0),(l<<1)+(i?1:0),Math.round(63*e)+128,Math.round(63*r)+128,1+(0===a?0:a<0?-1:1)|(63&u)<<2,u>>6);var c=o.vertexLength++;this.e1>=0&&this.e2>=0&&(this.indexArray.emplaceBack(this.e1,this.e2,c),o.primitiveLength++),i?this.e2=c:this.e1=c},ol.prototype.updateScaledDistance=function(){this.scaledDistance=this.totalDistance>0?(this.clipStart+(this.clipEnd-this.clipStart)*this.distance/this.totalDistance)*(al-1):this.distance},ol.prototype.updateDistance=function(t,e){this.distance+=t.dist(e),this.updateScaledDistance()},Qn(\"LineBucket\",ol,{omit:[\"layers\",\"patternFeatures\"]});var sl=new Ui({\"line-cap\":new Ri(It.layout_line[\"line-cap\"]),\"line-join\":new Fi(It.layout_line[\"line-join\"]),\"line-miter-limit\":new Ri(It.layout_line[\"line-miter-limit\"]),\"line-round-limit\":new Ri(It.layout_line[\"line-round-limit\"]),\"line-sort-key\":new Fi(It.layout_line[\"line-sort-key\"])}),ll={paint:new Ui({\"line-opacity\":new Fi(It.paint_line[\"line-opacity\"]),\"line-color\":new Fi(It.paint_line[\"line-color\"]),\"line-translate\":new Ri(It.paint_line[\"line-translate\"]),\"line-translate-anchor\":new Ri(It.paint_line[\"line-translate-anchor\"]),\"line-width\":new Fi(It.paint_line[\"line-width\"]),\"line-gap-width\":new Fi(It.paint_line[\"line-gap-width\"]),\"line-offset\":new Fi(It.paint_line[\"line-offset\"]),\"line-blur\":new Fi(It.paint_line[\"line-blur\"]),\"line-dasharray\":new Ni(It.paint_line[\"line-dasharray\"]),\"line-pattern\":new Bi(It.paint_line[\"line-pattern\"]),\"line-gradient\":new ji(It.paint_line[\"line-gradient\"])}),layout:sl},ul=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.possiblyEvaluate=function(e,r){return r=new Si(Math.floor(r.zoom),{now:r.now,fadeDuration:r.fadeDuration,zoomHistory:r.zoomHistory,transition:r.transition}),t.prototype.possiblyEvaluate.call(this,e,r)},e.prototype.evaluate=function(e,r,n,i){return r=f({},r,{zoom:Math.floor(r.zoom)}),t.prototype.evaluate.call(this,e,r,n,i)},e}(Fi),cl=new ul(ll.paint.properties[\"line-width\"].specification);cl.useIntegerZoom=!0;var fl=function(t){function e(e){t.call(this,e,ll)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype._handleSpecialPaintPropertyUpdate=function(t){\"line-gradient\"===t&&this._updateGradient()},e.prototype._updateGradient=function(){var t=this._transitionablePaint._values[\"line-gradient\"].value.expression;this.gradient=Zo(t,\"lineProgress\"),this.gradientTexture=null},e.prototype.recalculate=function(e,r){t.prototype.recalculate.call(this,e,r),this.paint._values[\"line-floorwidth\"]=cl.possiblyEvaluate(this._transitioningPaint._values[\"line-width\"].value,e)},e.prototype.createBucket=function(t){return new ol(t)},e.prototype.queryRadius=function(t){var e=t,r=hl(ko(\"line-width\",this,e),ko(\"line-gap-width\",this,e)),n=ko(\"line-offset\",this,e);return r/2+Math.abs(n)+Ao(this.paint.get(\"line-translate\"))},e.prototype.queryIntersectsFeature=function(t,e,r,n,i,o,s){var l=Mo(t,this.paint.get(\"line-translate\"),this.paint.get(\"line-translate-anchor\"),o.angle,s),u=s/2*hl(this.paint.get(\"line-width\").evaluate(e,r),this.paint.get(\"line-gap-width\").evaluate(e,r)),c=this.paint.get(\"line-offset\").evaluate(e,r);return c&&(n=function(t,e){for(var r=[],n=new a(0,0),i=0;i<t.length;i++){for(var o=t[i],s=[],l=0;l<o.length;l++){var u=o[l-1],c=o[l],f=o[l+1],h=0===l?n:c.sub(u)._unit()._perp(),p=l===o.length-1?n:f.sub(c)._unit()._perp(),d=h._add(p)._unit(),v=d.x*p.x+d.y*p.y;d._mult(1/v),s.push(d._mult(e)._add(c))}r.push(s)}return r}(n,c*s)),function(t,e,r){for(var n=0;n<e.length;n++){var i=e[n];if(t.length>=3)for(var a=0;a<i.length;a++)if(wo(t,i[a]))return!0;if(go(t,i,r))return!0}return!1}(l,n,u)},e.prototype.isTileClipped=function(){return!0},e}(Hi);function hl(t,e){return e>0?e+2*t:t}var 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h=Lu(n.stretch-x,b,c,t.left),p=Cu(n.fixed-T,k,n.stretch,v),d=Lu(i.stretch-_,w,f,t.top),y=Cu(i.fixed-A,M,i.stretch,g),m=Lu(l.stretch-x,b,c,t.left),S=Cu(l.fixed-T,k,l.stretch,v),E=Lu(u.stretch-_,w,f,t.top),L=Cu(u.fixed-A,M,u.stretch,g),C=new a(h,d),P=new a(m,d),O=new a(m,E),I=new a(h,E),D=new a(p/s,y/s),z=new a(S/s,L/s),R=e*Math.PI/180;if(R){var F=Math.sin(R),B=Math.cos(R),N=[B,-F,F,B];C._matMult(N),P._matMult(N),I._matMult(N),O._matMult(N)}var j=n.stretch+n.fixed,U=l.stretch+l.fixed,V=i.stretch+i.fixed,H=u.stretch+u.fixed;return{tl:C,tr:P,bl:I,br:O,tex:{x:o.paddedRect.x+1+j,y:o.paddedRect.y+1+V,w:U-j,h:H-V},writingMode:void 0,glyphOffset:[0,0],sectionIndex:0,pixelOffsetTL:D,pixelOffsetBR:z,minFontScaleX:k/s/c,minFontScaleY:M/s/f,isSDF:r}};if(n&&(o.stretchX||o.stretchY))for(var L=Eu(h,y,v),C=Eu(p,m,g),P=0;P<L.length-1;P++)for(var O=L[P],I=L[P+1],D=0;D<C.length-1;D++){var z=C[D],R=C[D+1];i.push(E(O,z,I,R))}else 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sa,this.programConfigurations=t,this.segments=new Ea,this.dynamicLayoutVertexArray=new ea,this.opacityVertexArray=new ra,this.placedSymbolArray=new ba};Xu.prototype.isEmpty=function(){return 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e=this.layers[0]._unevaluatedLayout._values;this.textSizeData=du(this.zoom,e[\"text-size\"]),this.iconSizeData=du(this.zoom,e[\"icon-size\"]);var r=this.layers[0].layout,n=r.get(\"symbol-sort-key\"),i=r.get(\"symbol-z-order\");this.sortFeaturesByKey=\"viewport-y\"!==i&&void 0!==n.constantOr(1);var a=\"viewport-y\"===i||\"auto\"===i&&!this.sortFeaturesByKey;this.sortFeaturesByY=a&&(r.get(\"text-allow-overlap\")||r.get(\"icon-allow-overlap\")||r.get(\"text-ignore-placement\")||r.get(\"icon-ignore-placement\")),\"point\"===r.get(\"symbol-placement\")&&(this.writingModes=r.get(\"text-writing-mode\").map((function(t){return Jl[t]}))),this.stateDependentLayerIds=this.layers.filter((function(t){return t.isStateDependent()})).map((function(t){return t.id})),this.sourceID=t.sourceID};Ku.prototype.createArrays=function(){this.text=new Xu(new no(pl.members,this.layers,this.zoom,(function(t){return/^text/.test(t)}))),this.icon=new Xu(new no(pl.members,this.layers,this.zoom,(function(t){return/^icon/.test(t)}))),this.glyphOffsetArray=new Ta,this.lineVertexArray=new ka,this.symbolInstances=new wa},Ku.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=xl[t.charAt(a)];o&&(e[o.charCodeAt(0)]=!0)}},Ku.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 le&&!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 Si(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={type:m.type,id:x,properties:m.properties,geometry:w?uo(m):[]};if(n._featureFilter.filter(d,T,r)){w||(T.geometry=uo(m));var k=void 0;if(l){var A=n.getValueAndResolveTokens(\"text-field\",T,r,p),M=le.factory(A);Wu(M)&&(this.hasRTLText=!0),(!this.hasRTLText||\"unavailable\"===ki()||this.hasRTLText&&Mi.isParsed())&&(k=ml(M,n,T))}var S=void 0;if(u){var E=n.getValueAndResolveTokens(\"icon-image\",T,r,p);S=E instanceof ue?E:ue.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:uo(m),properties:m.properties,type:qu[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(Jl.vertical)>=0;for(var I=0,D=k.sections;I<D.length;I+=1){var z=D[I];if(z.image)f[z.image.name]=!0;else{var R=si(k.toString()),F=z.fontStack||P,B=h[F]=h[F]||{};this.calculateGlyphDependencies(z.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}))}},Ku.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))},Ku.prototype.isEmpty=function(){return 0===this.symbolInstances.length&&!this.hasRTLText},Ku.prototype.uploadPending=function(){return!this.uploaded||this.text.programConfigurations.needsUpload||this.icon.programConfigurations.needsUpload},Ku.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},Ku.prototype.destroyDebugData=function(){this.textCollisionBox.destroy(),this.iconCollisionBox.destroy()},Ku.prototype.destroy=function(){this.text.destroy(),this.icon.destroy(),this.hasDebugData()&&this.destroyDebugData()},Ku.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}},Ku.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,a.sortKey),v=this.glyphOffsetArray.length,g=d.vertexLength,y=this.allowVerticalPlacement&&o===Jl.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,D=C[1];Zu(p,s.x,s.y,_.x,D+_.y,A.x,A.y,r,P,M.x,M.y,E,L),Zu(p,s.x,s.y,w.x,D+w.y,A.x+A.w,A.y,r,P,S.x,M.y,E,L),Zu(p,s.x,s.y,T.x,D+T.y,A.x,A.y+A.h,r,P,M.x,S.y,E,L),Zu(p,s.x,s.y,k.x,D+k.y,A.x+A.w,A.y+A.h,r,P,S.x,S.y,E,L),Yu(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)},Ku.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))},Ku.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},Ku.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)}},Ku.prototype.generateCollisionDebugBuffers=function(){this.hasDebugData()&&this.destroyDebugData(),this.textCollisionBox=new Ju(ia,gl.members,pa),this.iconCollisionBox=new Ju(ia,gl.members,pa);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)}},Ku.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},Ku.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))}},Ku.prototype.hasTextData=function(){return this.text.segments.get().length>0},Ku.prototype.hasIconData=function(){return this.icon.segments.get().length>0},Ku.prototype.hasDebugData=function(){return this.textCollisionBox&&this.iconCollisionBox},Ku.prototype.hasTextCollisionBoxData=function(){return this.hasDebugData()&&this.textCollisionBox.segments.get().length>0},Ku.prototype.hasIconCollisionBoxData=function(){return this.hasDebugData()&&this.iconCollisionBox.segments.get().length>0},Ku.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)},Ku.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},Ku.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})},Ku.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)}},Qn(\"SymbolBucket\",Ku,{omit:[\"layers\",\"collisionBoxArray\",\"features\",\"compareText\"]}),Ku.MAX_GLYPHS=65535,Ku.addDynamicAttributes=Yu;var $u=new Ui({\"symbol-placement\":new Ri(It.layout_symbol[\"symbol-placement\"]),\"symbol-spacing\":new Ri(It.layout_symbol[\"symbol-spacing\"]),\"symbol-avoid-edges\":new Ri(It.layout_symbol[\"symbol-avoid-edges\"]),\"symbol-sort-key\":new Fi(It.layout_symbol[\"symbol-sort-key\"]),\"symbol-z-order\":new Ri(It.layout_symbol[\"symbol-z-order\"]),\"icon-allow-overlap\":new Ri(It.layout_symbol[\"icon-allow-overlap\"]),\"icon-ignore-placement\":new Ri(It.layout_symbol[\"icon-ignore-placement\"]),\"icon-optional\":new Ri(It.layout_symbol[\"icon-optional\"]),\"icon-rotation-alignment\":new Ri(It.layout_symbol[\"icon-rotation-alignment\"]),\"icon-size\":new Fi(It.layout_symbol[\"icon-size\"]),\"icon-text-fit\":new Ri(It.layout_symbol[\"icon-text-fit\"]),\"icon-text-fit-padding\":new Ri(It.layout_symbol[\"icon-text-fit-padding\"]),\"icon-image\":new Fi(It.layout_symbol[\"icon-image\"]),\"icon-rotate\":new Fi(It.layout_symbol[\"icon-rotate\"]),\"icon-padding\":new Ri(It.layout_symbol[\"icon-padding\"]),\"icon-keep-upright\":new Ri(It.layout_symbol[\"icon-keep-upright\"]),\"icon-offset\":new Fi(It.layout_symbol[\"icon-offset\"]),\"icon-anchor\":new Fi(It.layout_symbol[\"icon-anchor\"]),\"icon-pitch-alignment\":new Ri(It.layout_symbol[\"icon-pitch-alignment\"]),\"text-pitch-alignment\":new Ri(It.layout_symbol[\"text-pitch-alignment\"]),\"text-rotation-alignment\":new Ri(It.layout_symbol[\"text-rotation-alignment\"]),\"text-field\":new Fi(It.layout_symbol[\"text-field\"]),\"text-font\":new Fi(It.layout_symbol[\"text-font\"]),\"text-size\":new Fi(It.layout_symbol[\"text-size\"]),\"text-max-width\":new Fi(It.layout_symbol[\"text-max-width\"]),\"text-line-height\":new Ri(It.layout_symbol[\"text-line-height\"]),\"text-letter-spacing\":new Fi(It.layout_symbol[\"text-letter-spacing\"]),\"text-justify\":new Fi(It.layout_symbol[\"text-justify\"]),\"text-radial-offset\":new Fi(It.layout_symbol[\"text-radial-offset\"]),\"text-variable-anchor\":new Ri(It.layout_symbol[\"text-variable-anchor\"]),\"text-anchor\":new Fi(It.layout_symbol[\"text-anchor\"]),\"text-max-angle\":new Ri(It.layout_symbol[\"text-max-angle\"]),\"text-writing-mode\":new Ri(It.layout_symbol[\"text-writing-mode\"]),\"text-rotate\":new Fi(It.layout_symbol[\"text-rotate\"]),\"text-padding\":new Ri(It.layout_symbol[\"text-padding\"]),\"text-keep-upright\":new Ri(It.layout_symbol[\"text-keep-upright\"]),\"text-transform\":new Fi(It.layout_symbol[\"text-transform\"]),\"text-offset\":new Fi(It.layout_symbol[\"text-offset\"]),\"text-allow-overlap\":new Ri(It.layout_symbol[\"text-allow-overlap\"]),\"text-ignore-placement\":new Ri(It.layout_symbol[\"text-ignore-placement\"]),\"text-optional\":new Ri(It.layout_symbol[\"text-optional\"])}),Qu={paint:new Ui({\"icon-opacity\":new Fi(It.paint_symbol[\"icon-opacity\"]),\"icon-color\":new Fi(It.paint_symbol[\"icon-color\"]),\"icon-halo-color\":new Fi(It.paint_symbol[\"icon-halo-color\"]),\"icon-halo-width\":new Fi(It.paint_symbol[\"icon-halo-width\"]),\"icon-halo-blur\":new Fi(It.paint_symbol[\"icon-halo-blur\"]),\"icon-translate\":new Ri(It.paint_symbol[\"icon-translate\"]),\"icon-translate-anchor\":new Ri(It.paint_symbol[\"icon-translate-anchor\"]),\"text-opacity\":new Fi(It.paint_symbol[\"text-opacity\"]),\"text-color\":new Fi(It.paint_symbol[\"text-color\"],{runtimeType:Gt,getOverride:function(t){return t.textColor},hasOverride:function(t){return!!t.textColor}}),\"text-halo-color\":new Fi(It.paint_symbol[\"text-halo-color\"]),\"text-halo-width\":new Fi(It.paint_symbol[\"text-halo-width\"]),\"text-halo-blur\":new Fi(It.paint_symbol[\"text-halo-blur\"]),\"text-translate\":new Ri(It.paint_symbol[\"text-translate\"]),\"text-translate-anchor\":new Ri(It.paint_symbol[\"text-translate-anchor\"])}),layout:$u},tc=function(t){this.type=t.property.overrides?t.property.overrides.runtimeType:Ut,this.defaultValue=t};tc.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},tc.prototype.eachChild=function(t){this.defaultValue.isConstant()||t(this.defaultValue.value._styleExpression.expression)},tc.prototype.outputDefined=function(){return!1},tc.prototype.serialize=function(){return null},Qn(\"FormatSectionOverride\",tc,{omit:[\"defaultValue\"]});var ec=function(t){function e(e){t.call(this,e,Qu)}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()||nn(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 Ku(t)},e.prototype.queryRadius=function(){return 0},e.prototype.queryIntersectsFeature=function(){return!1},e.prototype._setPaintOverrides=function(){for(var t=0,r=Qu.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 tc(a),s=new rn(o,a.property.specification);i=\"constant\"===a.value.kind||\"source\"===a.value.kind?new on(\"source\",s):new sn(\"composite\",s,a.value.zoomStops,a.value._interpolationType),this.paint._values[n]=new Di(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=Qu.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 le)a(r.value.value.sections);else if(\"source\"===r.value.kind){var o=function(t){if(!i)if(t instanceof de&&he(t.value)===Xt){var e=t.value;a(e.sections)}else t instanceof me?a(t.sections):t.eachChild(o)},s=r.value;s._styleExpression&&o(s._styleExpression.expression)}return i},e}(Hi),rc={paint:new Ui({\"background-color\":new Ri(It.paint_background[\"background-color\"]),\"background-pattern\":new Ni(It.paint_background[\"background-pattern\"]),\"background-opacity\":new Ri(It.paint_background[\"background-opacity\"])})},nc=function(t){function e(e){t.call(this,e,rc)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Hi),ic={paint:new Ui({\"raster-opacity\":new Ri(It.paint_raster[\"raster-opacity\"]),\"raster-hue-rotate\":new Ri(It.paint_raster[\"raster-hue-rotate\"]),\"raster-brightness-min\":new Ri(It.paint_raster[\"raster-brightness-min\"]),\"raster-brightness-max\":new Ri(It.paint_raster[\"raster-brightness-max\"]),\"raster-saturation\":new Ri(It.paint_raster[\"raster-saturation\"]),\"raster-contrast\":new Ri(It.paint_raster[\"raster-contrast\"]),\"raster-resampling\":new Ri(It.paint_raster[\"raster-resampling\"]),\"raster-fade-duration\":new Ri(It.paint_raster[\"raster-fade-duration\"])})},ac=function(t){function e(e){t.call(this,e,ic)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(Hi);var oc=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}(Hi),sc={circle:Fo,heatmap:Yo,hillshade:Xo,fill:Rs,\"fill-extrusion\":Qs,line:fl,symbol:ec,background:nc,raster:ac};var lc=self.HTMLImageElement,uc=self.HTMLCanvasElement,cc=self.HTMLVideoElement,fc=self.ImageData,hc=self.ImageBitmap,pc=function(t,e,r,n){this.context=t,this.format=r,this.texture=t.gl.createTexture(),this.update(e,n)};pc.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 lc||t instanceof uc||t instanceof cc||t instanceof fc||hc&&t instanceof hc?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 lc||t instanceof uc||t instanceof cc||t instanceof fc||hc&&t instanceof hc?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)},pc.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)},pc.prototype.isSizePowerOfTwo=function(){return this.size[0]===this.size[1]&&Math.log(this.size[0])/Math.LN2%1==0},pc.prototype.destroy=function(){this.context.gl.deleteTexture(this.texture),this.texture=null};var dc=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()})};dc.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))},dc.prototype.remove=function(){delete this._channel,this._callback=function(){}};var vc=function(t,e,r){this.target=t,this.parent=e,this.mapId=r,this.callbacks={},this.tasks={},this.taskQueue=[],this.cancelCallbacks={},g([\"receive\",\"process\"],this),this.invoker=new dc(this.process),this.target.addEventListener(\"message\",this.receive,!1),this.globalScope=A()?t:self};function gc(t,e,r){var n=2*Math.PI*6378137/256/Math.pow(2,r);return[t*n-2*Math.PI*6378137/2,e*n-2*Math.PI*6378137/2]}vc.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=E(this.globalScope)?void 0:[];return this.target.postMessage({id:o,type:t,hasCallback:!!r,targetMapId:n,mustQueue:i,sourceMapId:this.mapId,data:ni(e,s)},s),{cancel:function(){r&&delete a.callbacks[o],a.target.postMessage({id:o,type:\"<cancel>\",targetMapId:n,sourceMapId:a.mapId})}}},vc.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 A()||e.mustQueue?(this.tasks[r]=e,this.taskQueue.push(r),this.invoker.trigger()):this.processTask(r,e)},vc.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)}},vc.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(ii(e.error)):n(null,ii(e.data)))}else{var i=!1,a=E(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?ni(e):null,data:ni(n,a)},a)}:function(t){i=!0},s=null,l=ii(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)}},vc.prototype.remove=function(){this.invoker.remove(),this.target.removeEventListener(\"message\",this.receive,!1)};var yc=function(t,e){t&&(e?this.setSouthWest(t).setNorthEast(e):4===t.length?this.setSouthWest([t[0],t[1]]).setNorthEast([t[2],t[3]]):this.setSouthWest(t[0]).setNorthEast(t[1]))};yc.prototype.setNorthEast=function(t){return this._ne=t instanceof xc?new xc(t.lng,t.lat):xc.convert(t),this},yc.prototype.setSouthWest=function(t){return this._sw=t instanceof xc?new xc(t.lng,t.lat):xc.convert(t),this},yc.prototype.extend=function(t){var e,r,n=this._sw,i=this._ne;if(t instanceof xc)e=t,r=t;else{if(!(t instanceof yc)){if(Array.isArray(t)){if(4===t.length||t.every(Array.isArray)){var a=t;return this.extend(yc.convert(a))}var o=t;return this.extend(xc.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 xc(e.lng,e.lat),this._ne=new xc(r.lng,r.lat)),this},yc.prototype.getCenter=function(){return new xc((this._sw.lng+this._ne.lng)/2,(this._sw.lat+this._ne.lat)/2)},yc.prototype.getSouthWest=function(){return this._sw},yc.prototype.getNorthEast=function(){return this._ne},yc.prototype.getNorthWest=function(){return new xc(this.getWest(),this.getNorth())},yc.prototype.getSouthEast=function(){return new xc(this.getEast(),this.getSouth())},yc.prototype.getWest=function(){return this._sw.lng},yc.prototype.getSouth=function(){return this._sw.lat},yc.prototype.getEast=function(){return this._ne.lng},yc.prototype.getNorth=function(){return this._ne.lat},yc.prototype.toArray=function(){return[this._sw.toArray(),this._ne.toArray()]},yc.prototype.toString=function(){return\"LngLatBounds(\"+this._sw.toString()+\", \"+this._ne.toString()+\")\"},yc.prototype.isEmpty=function(){return!(this._sw&&this._ne)},yc.prototype.contains=function(t){var e=xc.convert(t),r=e.lng,n=e.lat,i=this._sw.lat<=n&&n<=this._ne.lat,a=this._sw.lng<=r&&r<=this._ne.lng;return this._sw.lng>this._ne.lng&&(a=this._sw.lng>=r&&r>=this._ne.lng),i&&a},yc.convert=function(t){return!t||t instanceof yc?t:new yc(t)};var mc=6371008.8,xc=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\")};xc.prototype.wrap=function(){return new xc(c(this.lng,-180,180),this.lat)},xc.prototype.toArray=function(){return[this.lng,this.lat]},xc.prototype.toString=function(){return\"LngLat(\"+this.lng+\", \"+this.lat+\")\"},xc.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 mc*Math.acos(Math.min(i,1))},xc.prototype.toBounds=function(t){void 0===t&&(t=0);var e=360*t/40075017,r=e/Math.cos(Math.PI/180*this.lat);return new yc(new xc(this.lng-r,this.lat-e),new xc(this.lng+r,this.lat+e))},xc.convert=function(t){if(t instanceof xc)return t;if(Array.isArray(t)&&(2===t.length||3===t.length))return new xc(Number(t[0]),Number(t[1]));if(!Array.isArray(t)&&\"object\"==typeof t&&null!==t)return new xc(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 bc=2*Math.PI*mc;function _c(t){return bc*Math.cos(t*Math.PI/180)}function wc(t){return(180+t)/360}function Tc(t){return(180-180/Math.PI*Math.log(Math.tan(Math.PI/4+t*Math.PI/360)))/360}function kc(t,e){return t/_c(e)}function Ac(t){var e=180-360*t;return 360/Math.PI*Math.atan(Math.exp(e*Math.PI/180))-90}var Mc=function(t,e,r){void 0===r&&(r=0),this.x=+t,this.y=+e,this.z=+r};Mc.fromLngLat=function(t,e){void 0===e&&(e=0);var r=xc.convert(t);return new Mc(wc(r.lng),Tc(r.lat),kc(e,r.lat))},Mc.prototype.toLngLat=function(){return new xc(360*this.x-180,Ac(this.y))},Mc.prototype.toAltitude=function(){return t=this.z,e=this.y,t*_c(Ac(e));var t,e},Mc.prototype.meterInMercatorCoordinateUnits=function(){return 1/bc*(t=Ac(this.y),1/Math.cos(t*Math.PI/180));var t};var Sc=function(t,e,r){this.z=t,this.x=e,this.y=r,this.key=Cc(0,t,t,e,r)};Sc.prototype.equals=function(t){return this.z===t.z&&this.x===t.x&&this.y===t.y},Sc.prototype.url=function(t,e){var r,n,i,a,o,s=(r=this.x,n=this.y,i=this.z,a=gc(256*r,256*(n=Math.pow(2,i)-n-1),i),o=gc(256*(r+1),256*(n+1),i),a[0]+\",\"+a[1]+\",\"+o[0]+\",\"+o[1]),l=function(t,e,r){for(var n,i=\"\",a=t;a>0;a--)i+=(e&(n=1<<a-1)?1:0)+(r&n?2:0);return i}(this.z,this.x,this.y);return t[(this.x+this.y)%t.length].replace(\"{prefix}\",(this.x%16).toString(16)+(this.y%16).toString(16)).replace(\"{z}\",String(this.z)).replace(\"{x}\",String(this.x)).replace(\"{y}\",String(\"tms\"===e?Math.pow(2,this.z)-this.y-1:this.y)).replace(\"{quadkey}\",l).replace(\"{bbox-epsg-3857}\",s)},Sc.prototype.getTilePoint=function(t){var e=Math.pow(2,this.z);return new a((t.x*e-this.x)*oo,(t.y*e-this.y)*oo)},Sc.prototype.toString=function(){return this.z+\"/\"+this.x+\"/\"+this.y};var Ec=function(t,e){this.wrap=t,this.canonical=e,this.key=Cc(t,e.z,e.z,e.x,e.y)},Lc=function(t,e,r,n,i){this.overscaledZ=t,this.wrap=e,this.canonical=new Sc(r,+n,+i),this.key=Cc(e,t,r,n,i)};function Cc(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)}Lc.prototype.equals=function(t){return this.overscaledZ===t.overscaledZ&&this.wrap===t.wrap&&this.canonical.equals(t.canonical)},Lc.prototype.scaledTo=function(t){var e=this.canonical.z-t;return t>this.canonical.z?new Lc(t,this.wrap,this.canonical.z,this.canonical.x,this.canonical.y):new Lc(t,this.wrap,t,this.canonical.x>>e,this.canonical.y>>e)},Lc.prototype.calculateScaledKey=function(t,e){var r=this.canonical.z-t;return t>this.canonical.z?Cc(this.wrap*+e,t,this.canonical.z,this.canonical.x,this.canonical.y):Cc(this.wrap*+e,t,t,this.canonical.x>>r,this.canonical.y>>r)},Lc.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},Lc.prototype.children=function(t){if(this.overscaledZ>=t)return[new Lc(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 Lc(e,this.wrap,e,r,n),new Lc(e,this.wrap,e,r+1,n),new Lc(e,this.wrap,e,r,n+1),new Lc(e,this.wrap,e,r+1,n+1)]},Lc.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))},Lc.prototype.wrapped=function(){return new Lc(this.overscaledZ,0,this.canonical.z,this.canonical.x,this.canonical.y)},Lc.prototype.unwrapTo=function(t){return new Lc(this.overscaledZ,t,this.canonical.z,this.canonical.x,this.canonical.y)},Lc.prototype.overscaleFactor=function(){return Math.pow(2,this.overscaledZ-this.canonical.z)},Lc.prototype.toUnwrapped=function(){return new Ec(this.wrap,this.canonical)},Lc.prototype.toString=function(){return this.overscaledZ+\"/\"+this.canonical.x+\"/\"+this.canonical.y},Lc.prototype.getTilePoint=function(t){return this.canonical.getTilePoint(new Mc(t.x-this.wrap,t.y))},Qn(\"CanonicalTileID\",Sc),Qn(\"OverscaledTileID\",Lc,{omit:[\"posMatrix\"]});var Pc=function(t,e,r){if(this.uid=t,e.height!==e.width)throw new RangeError(\"DEM tiles must be square\");if(r&&\"mapbox\"!==r&&\"terrarium\"!==r)return w('\"'+r+'\" is not a valid encoding type. Valid types include \"mapbox\" and \"terrarium\".');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)]};Pc.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])},Pc.prototype.getUnpackVector=function(){return\"terrarium\"===this.encoding?[256,1,1/256,32768]:[6553.6,25.6,.1,1e4]},Pc.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)},Pc.prototype._unpackMapbox=function(t,e,r){return(256*t*256+256*e+r)/10-1e4},Pc.prototype._unpackTerrarium=function(t,e,r){return 256*t+e+r/256-32768},Pc.prototype.getPixels=function(){return new qo({width:this.stride,height:this.stride},new Uint8Array(this.data.buffer))},Pc.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)]},Qn(\"DEMData\",Pc);var Oc=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}};Oc.prototype.encode=function(t){return this._stringToNumber[t]},Oc.prototype.decode=function(t){return this._numberToString[t]};var Ic=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},Dc={geometry:{configurable:!0}};Dc.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},Dc.geometry.set=function(t){this._geometry=t},Ic.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(Ic.prototype,Dc);var zc=function(){this.state={},this.stateChanges={},this.deletedStates={}};zc.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]||{},f(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]},zc.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}},zc.prototype.getState=function(t,e){var r=String(e),n=this.state[t]||{},i=this.stateChanges[t]||{},a=f({},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},zc.prototype.initializeTileState=function(t,e){t.setFeatureState(this.state,e)},zc.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]={}),f(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,h=Object.keys(this.deletedStates[o][u]);c<h.length;c+=1){var p=h[c];delete this.state[o][u][p]}s[u]=this.state[o][u]}r[o]=r[o]||{},f(r[o],s)}if(this.stateChanges={},this.deletedStates={},0!==Object.keys(r).length)for(var d in t)t[d].setFeatureState(r,e)};var Rc=function(t,e){this.tileID=t,this.x=t.canonical.x,this.y=t.canonical.y,this.z=t.canonical.z,this.grid=new Wn(oo,16,0),this.grid3D=new Wn(oo,16,0),this.featureIndexArray=new Ma,this.promoteId=e};function Fc(t,e,r,n,i){return m(t,(function(t,a){var o=e instanceof zi?e.get(a):null;return o&&o.evaluate?o.evaluate(r,n,i):o}))}function Bc(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 Nc(t,e){return e-t}Rc.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]<oo&&c[1]<oo&&c[2]>=0&&c[3]>=0&&s.insert(o,c[0],c[1],c[2],c[3])}},Rc.prototype.loadVTLayers=function(){return this.vtLayers||(this.vtLayers=new Zs.VectorTile(new Tl(this.rawTileData)).layers,this.sourceLayerCoder=new Oc(this.vtLayers?Object.keys(this.vtLayers).sort():[\"_geojsonTileLayer\"])),this.vtLayers},Rc.prototype.query=function(t,e,r,n){var i=this;this.loadVTLayers();for(var o=t.params||{},s=oo/t.tileSize/t.scale,l=xn(o.filter),u=t.queryGeometry,c=t.queryPadding*s,f=Bc(u),h=this.grid.query(f.minX-c,f.minY-c,f.maxX+c,f.maxY+c),p=Bc(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(wo(t,f[c]))return!0;for(var h=0;h<t.length-1;h++)if(To(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(Nc);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=uo(e)),r.queryIntersectsFeature(u,e,n,p,i.z,t.transform,s,t.pixelPosMatrix)}))}},b=0;b<h.length;b++)x(b);return m},Rc.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),p=this.vtLayers[h].feature(n);if(i.filter(new Si(this.tileID.overscaledZ),p))for(var d=this.getId(p,h),v=0;v<f.length;v++){var g=f[v];if(!(a&&a.indexOf(g)<0)){var y=s[g];if(y){var m={};void 0!==d&&u&&(m=u.getState(y.sourceLayer||\"_geojsonTileLayer\",d));var x=l[g];x.paint=Fc(x.paint,y.paint,p,m,o),x.layout=Fc(x.layout,y.layout,p,m,o);var b=!c||c(p,y,m);if(b){var _=new Ic(p,this.z,this.x,this.y,d);_.layer=x;var w=t[g];void 0===w&&(w=t[g]=[]),w.push({featureIndex:n,feature:_,intersectionZ:b})}}}}}},Rc.prototype.lookupSymbolFeatures=function(t,e,r,n,i,a,o,s){var l={};this.loadVTLayers();for(var u=xn(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},Rc.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},Rc.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},Qn(\"FeatureIndex\",Rc,{omit:[\"rawTileData\",\"sourceLayerCoder\"]});var jc=function(t,e){this.tileID=t,this.uid=p(),this.uses=0,this.tileSize=e,this.buckets={},this.expirationTime=null,this.queryPadding=0,this.hasSymbolBuckets=!1,this.hasRTLText=!1,this.dependencies={},this.expiredRequestCount=0,this.state=\"loading\"};jc.prototype.registerFadeDuration=function(t){var e=t+this.timeAdded;e<F.now()||this.fadeEndTime&&e<this.fadeEndTime||(this.fadeEndTime=e)},jc.prototype.wasRequested=function(){return\"errored\"===this.state||\"loaded\"===this.state||\"reloading\"===this.state},jc.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 Ku){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 Ku&&o.hasRTLText){this.hasRTLText=!0,Mi.isLoading()||Mi.isLoaded()||\"deferred\"!==ki()||Ai();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 ma},jc.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\"},jc.prototype.getBucket=function(t){return this.buckets[t.id]},jc.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 pc(t,this.imageAtlas.image,n.RGBA),this.imageAtlas.uploaded=!0),this.glyphAtlasImage&&(this.glyphAtlasTexture=new pc(t,this.glyphAtlasImage,n.ALPHA),this.glyphAtlasImage=null)},jc.prototype.prepare=function(t){this.imageAtlas&&this.imageAtlas.patchUpdatedImages(t,this.imageAtlasTexture)},jc.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):{}},jc.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=xn(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.filter(new Si(this.tileID.overscaledZ),p)){var d=r.getId(p,i),v=new Ic(p,l,u,c,d);v.tile=f,t.push(v)}}}},jc.prototype.hasData=function(){return\"loaded\"===this.state||\"reloading\"===this.state||\"expired\"===this.state},jc.prototype.patternsLoaded=function(){return this.imageAtlas&&!!Object.keys(this.imageAtlas.patternPositions).length},jc.prototype.setExpiryData=function(t){var e=this.expirationTime;if(t.cacheControl){var r=M(t.cacheControl);r[\"max-age\"]&&(this.expirationTime=Date.now()+1e3*r[\"max-age\"])}else t.expires&&(this.expirationTime=new Date(t.expires).getTime());if(this.expirationTime){var n=Date.now(),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}},jc.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)},jc.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)))}}}},jc.prototype.holdingForFade=function(){return void 0!==this.symbolFadeHoldUntil},jc.prototype.symbolFadeFinished=function(){return!this.symbolFadeHoldUntil||this.symbolFadeHoldUntil<F.now()},jc.prototype.clearFadeHold=function(){this.symbolFadeHoldUntil=void 0},jc.prototype.setHoldDuration=function(t){this.symbolFadeHoldUntil=F.now()+t},jc.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},jc.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 Uc=self.performance,Vc=function(t){this._marks={start:[t.url,\"start\"].join(\"#\"),end:[t.url,\"end\"].join(\"#\"),measure:t.url.toString()},Uc.mark(this._marks.start)};Vc.prototype.finish=function(){Uc.mark(this._marks.end);var t=Uc.getEntriesByName(this._marks.measure);return 0===t.length&&(Uc.measure(this._marks.measure,this._marks.start,this._marks.end),t=Uc.getEntriesByName(this._marks.measure),Uc.clearMarks(this._marks.start),Uc.clearMarks(this._marks.end),Uc.clearMeasures(this._marks.measure)),t},t.Actor=vc,t.AlphaImage=Ho,t.CanonicalTileID=Sc,t.CollisionBoxArray=ma,t.Color=ae,t.DEMData=Pc,t.DataConstantProperty=Ri,t.DictionaryCoder=Oc,t.EXTENT=oo,t.ErrorEvent=Pt,t.EvaluationParameters=Si,t.Event=Ct,t.Evented=Ot,t.FeatureIndex=Rc,t.FillBucket=Is,t.FillExtrusionBucket=Js,t.ImageAtlas=Xl,t.ImagePosition=Yl,t.LineBucket=ol,t.LngLat=xc,t.LngLatBounds=yc,t.MercatorCoordinate=Mc,t.ONE_EM=bl,t.OverscaledTileID=Lc,t.Point=a,t.Point$1=a,t.Properties=Ui,t.Protobuf=Tl,t.RGBAImage=qo,t.RequestManager=q,t.RequestPerformance=Vc,t.ResourceType=mt,t.SegmentVector=Ea,t.SourceFeatureState=zc,t.StructArrayLayout1ui2=da,t.StructArrayLayout2f1f2i16=aa,t.StructArrayLayout2i4=Xi,t.StructArrayLayout3ui6=sa,t.StructArrayLayout4i8=Ji,t.SymbolBucket=Ku,t.Texture=pc,t.Tile=jc,t.Transitionable=Ci,t.Uniform1f=Ha,t.Uniform1i=Va,t.Uniform2f=qa,t.Uniform3f=Ga,t.Uniform4f=Za,t.UniformColor=Ya,t.UniformMatrix4f=Xa,t.UnwrappedTileID=Ec,t.ValidationError=Dt,t.WritingMode=Jl,t.ZoomHistory=ai,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=Yu,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=s,t.bindAll=g,t.browser=F,t.cacheEntryPossiblyAdded=function(t){++gt>ct&&(t.getActor().send(\"enforceCacheSizeLimit\",ut),gt=0)},t.clamp=u,t.clearTileCache=function(t){var e=self.caches.delete(lt);t&&e.catch(t).then((function(){return t()}))},t.clipLine=Au,t.clone=function(t){var e=new Lo(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=b,t.clone$2=function(t){var e=new Lo(3);return e[0]=t[0],e[1]=t[1],e[2]=t[2],e},t.collisionCircleLayout=yl,t.config=B,t.create=function(){var t=new Lo(16);return Lo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[4]=0,t[6]=0,t[7]=0,t[8]=0,t[9]=0,t[11]=0,t[12]=0,t[13]=0,t[14]=0),t[0]=1,t[5]=1,t[10]=1,t[15]=1,t},t.create$1=function(){var t=new Lo(9);return Lo!=Float32Array&&(t[1]=0,t[2]=0,t[3]=0,t[5]=0,t[6]=0,t[7]=0),t[0]=1,t[4]=1,t[8]=1,t},t.create$2=function(){var t=new Lo(4);return Lo!=Float32Array&&(t[1]=0,t[2]=0),t[0]=1,t[3]=1,t},t.createCommonjsModule=e,t.createExpression=an,t.createLayout=Yi,t.createStyleLayer=function(t){return\"custom\"===t.type?new oc(t):new sc[t.type](t)},t.cross=function(t,e,r){var n=e[0],i=e[1],a=e[2],o=r[0],s=r[1],l=r[2];return t[0]=i*l-a*s,t[1]=a*o-n*l,t[2]=n*s-i*o,t},t.deepEqual=function t(e,r){if(Array.isArray(e)){if(!Array.isArray(r)||e.length!==r.length)return!1;for(var n=0;n<e.length;n++)if(!t(e[n],r[n]))return!1;return!0}if(\"object\"==typeof e&&null!==e&&null!==r){if(\"object\"!=typeof r)return!1;if(Object.keys(e).length!==Object.keys(r).length)return!1;for(var i in e)if(!t(e[i],r[i]))return!1;return!0}return 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t;if(o<r||a>=n)return null;for(var l=[],u=0;u<t.length;u++){var c=t[u],f=c.geometry,h=c.type,p=0===i?c.minX:c.minY,d=0===i?c.maxX:c.maxY;if(p>=r&&d<n)l.push(c);else if(!(d<r||p>=n)){var v=[];if(\"Point\"===h||\"MultiPoint\"===h)ut(f,v,r,n,i);else if(\"LineString\"===h)ct(f,v,r,n,i,!1,s.lineMetrics);else if(\"MultiLineString\"===h)ht(f,v,r,n,i,!1);else if(\"Polygon\"===h)ht(f,v,r,n,i,!0);else if(\"MultiPolygon\"===h)for(var g=0;g<f.length;g++){var y=[];ht(f[g],y,r,n,i,!0),y.length&&v.push(y)}if(v.length){if(s.lineMetrics&&\"LineString\"===h){for(g=0;g<v.length;g++)l.push(tt(c.id,h,v[g],c.tags));continue}\"LineString\"!==h&&\"MultiLineString\"!==h||(1===v.length?(h=\"LineString\",v=v[0]):h=\"MultiLineString\"),\"Point\"!==h&&\"MultiPoint\"!==h||(h=3===v.length?\"Point\":\"MultiPoint\"),l.push(tt(c.id,h,v,c.tags))}}}return l.length?l:null}function ut(t,e,r,n,i){for(var a=0;a<t.length;a+=3){var o=t[a+i];o>=r&&o<=n&&(e.push(t[a]),e.push(t[a+1]),e.push(t[a+2]))}}function 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xt(t,e,r,n,i,a){return[Math.round(r*(t*n-i)),Math.round(r*(e*n-a))]}function bt(t,e,r,n,i){for(var a=e===i.maxZoom?0:i.tolerance/((1<<e)*i.extent),o={features:[],numPoints:0,numSimplified:0,numFeatures:0,source:null,x:r,y:n,z:e,transformed:!1,minX:2,minY:1,maxX:-1,maxY:0},s=0;s<t.length;s++){o.numFeatures++,_t(o,t[s],a,i);var l=t[s].minX,u=t[s].minY,c=t[s].maxX,f=t[s].maxY;l<o.minX&&(o.minX=l),u<o.minY&&(o.minY=u),c>o.maxX&&(o.maxX=c),f>o.maxY&&(o.maxY=f)}return o}function _t(t,e,r,n){var i=e.geometry,a=e.type,o=[];if(\"Point\"===a||\"MultiPoint\"===a)for(var s=0;s<i.length;s+=3)o.push(i[s]),o.push(i[s+1]),t.numPoints++,t.numSimplified++;else if(\"LineString\"===a)wt(o,i,t,r,!1,!1);else if(\"MultiLineString\"===a||\"Polygon\"===a)for(s=0;s<i.length;s++)wt(o,i[s],t,r,\"Polygon\"===a,0===s);else if(\"MultiPolygon\"===a)for(var l=0;l<i.length;l++){var u=i[l];for(s=0;s<u.length;s++)wt(o,u[s],t,r,!0,0===s)}if(o.length){var c=e.tags||null;if(\"LineString\"===a&&n.lineMetrics){for(var f in c={},e.tags)c[f]=e.tags[f];c.mapbox_clip_start=i.start/i.size,c.mapbox_clip_end=i.end/i.size}var h={geometry:o,type:\"Polygon\"===a||\"MultiPolygon\"===a?3:\"LineString\"===a||\"MultiLineString\"===a?2:1,tags:c};null!==e.id&&(h.id=e.id),t.features.push(h)}}function wt(t,e,r,n,i,a){var o=n*n;if(n>0&&e.size<(i?o:n))r.numPoints+=e.length/3;else{for(var s=[],l=0;l<e.length;l+=3)(0===n||e[l+2]>o)&&(r.numSimplified++,s.push(e[l]),s.push(e[l+1])),r.numPoints++;i&&function(t,e){for(var r=0,n=0,i=t.length,a=i-2;n<i;a=n,n+=2)r+=(t[n]-t[a])*(t[n+1]+t[a+1]);if(r>0===e)for(n=0,i=t.length;n<i/2;n+=2){var o=t[n],s=t[n+1];t[n]=t[i-2-n],t[n+1]=t[i-1-n],t[i-2-n]=o,t[i-1-n]=s}}(s,a),t.push(s)}}function Tt(t,e){var r=(e=this.options=function(t,e){for(var r in e)t[r]=e[r];return t}(Object.create(this.options),e)).debug;if(r&&console.time(\"preprocess data\"),e.maxZoom<0||e.maxZoom>24)throw new Error(\"maxZoom should be in the 0-24 range\");if(e.promoteId&&e.generateId)throw new Error(\"promoteId and generateId cannot be used together.\");var n=function(t,e){var r=[];if(\"FeatureCollection\"===t.type)for(var n=0;n<t.features.length;n++)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(q(t[l],l));this.trees[i+1]=new j(s,J,K,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,J,K,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),W(a),Y(i),W(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?Z(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=i/(a*Math.pow(2,e)),l=0;l<t.length;l++){var u=t[l];if(!(u.zoom<=e)){u.zoom=e;for(var c=this.trees[e+1],f=c.within(u.x,u.y,s),h=u.numPoints||1,p=u.x*h,d=u.y*h,v=o&&h>1?this._map(u,!0):null,g=(l<<5)+(e+1)+this.points.length,y=0,m=f;y<m.length;y+=1){var x=m[y],b=c.points[x];if(!(b.zoom<=e)){b.zoom=e;var _=b.numPoints||1;p+=b.x*_,d+=b.y*_,h+=_,b.parentId=g,o&&(v||(v=this._map(u,!0)),o(v,this._map(b)))}}1===h?r.push(u):(u.parentId=g,r.push(H(p/h,d/h,g,h,v)))}}return r},V.prototype._getOriginId=function(t){return t-this.points.length>>5},V.prototype._getOriginZoom=function(t){return(t-this.points.length)%32},V.prototype._map=function(t,e){if(t.numPoints)return e?X({},t.properties):t.properties;var r=this.points[t.index].properties,n=this.options.map(r);return e&&n===r?X({},n):n},Tt.prototype.options={maxZoom:14,indexMaxZoom:5,indexMaxPoints:1e5,tolerance:3,extent:4096,buffer:64,lineMetrics:!1,promoteId:null,generateId:!1,debug:0},Tt.prototype.splitTile=function(t,e,r,n,i,a,o){for(var s=[t,e,r,n],l=this.options,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 down\"),this.tiles[s]?mt(this.tiles[s],i):null):null};var Mt=function(e){function r(t,r,n,i){e.call(this,t,r,n,At),i&&(this.loadGeoJSON=i)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.loadData=function(t,e){this._pendingCallback&&this._pendingCallback(null,{abandoned:!0}),this._pendingCallback=e,this._pendingLoadDataParams=t,this._state&&\"Idle\"!==this._state?this._state=\"NeedsLoadData\":(this._state=\"Coalescing\",this._loadData())},r.prototype._loadData=function(){var e=this;if(this._pendingCallback&&this._pendingLoadDataParams){var r=this._pendingCallback,n=this._pendingLoadDataParams;delete this._pendingCallback,delete this._pendingLoadDataParams;var i=!!(n&&n.request&&n.request.collectResourceTiming)&&new t.RequestPerformance(n.request);this.loadGeoJSON(n,(function(a,o){if(a||!o)return r(a);if(\"object\"!=typeof o)return r(new Error(\"Input data given to '\"+n.source+\"' is not a valid GeoJSON object.\"));f(o,!0);try{e._geoJSONIndex=n.cluster?new V(function(e){var r=e.superclusterOptions,n=e.clusterProperties;if(!n||!r)return r;for(var i={},a={},o={accumulated:null,zoom:0},s={properties:null},l=Object.keys(n),u=0,c=l;u<c.length;u+=1){var f=c[u],h=n[f],p=h[0],d=h[1],v=t.createExpression(d),g=t.createExpression(\"string\"==typeof p?[p,[\"accumulated\"],[\"get\",f]]:p);i[f]=v.value,a[f]=g.value}return r.map=function(t){s.properties=t;for(var e={},r=0,n=l;r<n.length;r+=1){var a=n[r];e[a]=i[a].evaluate(o,s)}return e},r.reduce=function(t,e){s.properties=e;for(var r=0,n=l;r<n.length;r+=1){var i=n[r];o.accumulated=t[i],t[i]=a[i].evaluate(o,s)}},r}(n)).load(o.features):function(t,e){return new Tt(t,e)}(o,n.geojsonVtOptions)}catch(a){return r(a)}e.loaded={};var s={};if(i){var l=i.finish();l&&(s.resourceTiming={},s.resourceTiming[n.source]=JSON.parse(JSON.stringify(l)))}r(null,s)}))}},r.prototype.coalesce=function(){\"Coalescing\"===this._state?this._state=\"Idle\":\"NeedsLoadData\"===this._state&&(this._state=\"Coalescing\",this._loadData())},r.prototype.reloadTile=function(t,r){var n=this.loaded,i=t.uid;return n&&n[i]?e.prototype.reloadTile.call(this,t,r):this.loadTile(t,r)},r.prototype.loadGeoJSON=function(e,r){if(e.request)t.getJSON(e.request,r);else{if(\"string\"!=typeof e.data)return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON object.\"));try{return r(null,JSON.parse(e.data))}catch(t){return r(new Error(\"Input data given to '\"+e.source+\"' is not a valid GeoJSON 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 registered.\");t.plugin.applyArabicShaping=e.applyArabicShaping,t.plugin.processBidirectionalText=e.processBidirectionalText,t.plugin.processStyledBidirectionalText=e.processStyledBidirectionalText}};return St.prototype.setReferrer=function(t,e){this.referrer=e},St.prototype.setImages=function(t,e,r){for(var n in this.availableImages[t]=e,this.workerSources[t]){var i=this.workerSources[t][n];for(var a in i)i[a].availableImages=e}r()},St.prototype.setLayers=function(t,e,r){this.getLayerIndex(t).replace(e),r()},St.prototype.updateLayers=function(t,e,r){this.getLayerIndex(t).update(e.layers,e.removedIds),r()},St.prototype.loadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).loadTile(e,r)},St.prototype.loadDEMTile=function(t,e,r){this.getDEMWorkerSource(t,e.source).loadTile(e,r)},St.prototype.reloadTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).reloadTile(e,r)},St.prototype.abortTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).abortTile(e,r)},St.prototype.removeTile=function(t,e,r){this.getWorkerSource(t,e.type,e.source).removeTile(e,r)},St.prototype.removeDEMTile=function(t,e){this.getDEMWorkerSource(t,e.source).removeTile(e)},St.prototype.removeSource=function(t,e,r){if(this.workerSources[t]&&this.workerSources[t][e.type]&&this.workerSources[t][e.type][e.source]){var n=this.workerSources[t][e.type][e.source];delete this.workerSources[t][e.type][e.source],void 0!==n.removeSource?n.removeSource(e,r):r()}},St.prototype.loadWorkerSource=function(t,e,r){try{this.self.importScripts(e.url),r()}catch(t){r(t.toString())}},St.prototype.syncRTLPluginState=function(e,r,n){try{t.plugin.setState(r);var i=t.plugin.getPluginURL();if(t.plugin.isLoaded()&&!t.plugin.isParsed()&&null!=i){this.self.importScripts(i);var a=t.plugin.isParsed();n(a?void 0:new Error(\"RTL Text Plugin failed to import scripts from \"+i),a)}}catch(t){n(t.toString())}},St.prototype.getAvailableImages=function(t){var e=this.availableImages[t];return e||(e=[]),e},St.prototype.getLayerIndex=function(t){var e=this.layerIndexes[t];return e||(e=this.layerIndexes[t]=new n),e},St.prototype.getWorkerSource=function(t,e,r){var n=this;if(this.workerSources[t]||(this.workerSources[t]={}),this.workerSources[t][e]||(this.workerSources[t][e]={}),!this.workerSources[t][e][r]){var i={send:function(e,r,i){n.actor.send(e,r,i,t)}};this.workerSources[t][e][r]=new this.workerSourceTypes[e](i,this.getLayerIndex(t),this.getAvailableImages(t))}return this.workerSources[t][e][r]},St.prototype.getDEMWorkerSource=function(t,e){return this.demWorkerSources[t]||(this.demWorkerSources[t]={}),this.demWorkerSources[t][e]||(this.demWorkerSources[t][e]=new c),this.demWorkerSources[t][e]},St.prototype.enforceCacheSizeLimit=function(e,r){t.enforceCacheSizeLimit(r)},\"undefined\"!=typeof WorkerGlobalScope&&void 0!==t.window&&t.window instanceof WorkerGlobalScope&&(t.window.worker=new St(t.window)),St})),n(0,(function(t){var e=t.createCommonjsModule((function(t){function e(t){return!r(t)}function r(t){return\"undefined\"!=typeof window&&\"undefined\"!=typeof document?Array.prototype&&Array.prototype.every&&Array.prototype.filter&&Array.prototype.forEach&&Array.prototype.indexOf&&Array.prototype.lastIndexOf&&Array.prototype.map&&Array.prototype.some&&Array.prototype.reduce&&Array.prototype.reduceRight&&Array.isArray?Function.prototype&&Function.prototype.bind?Object.keys&&Object.create&&Object.getPrototypeOf&&Object.getOwnPropertyNames&&Object.isSealed&&Object.isFrozen&&Object.isExtensible&&Object.getOwnPropertyDescriptor&&Object.defineProperty&&Object.defineProperties&&Object.seal&&Object.freeze&&Object.preventExtensions?\"JSON\"in window&&\"parse\"in JSON&&\"stringify\"in JSON?function(){if(!(\"Worker\"in window&&\"Blob\"in window&&\"URL\"in window))return!1;var t,e,r=new Blob([\"\"],{type:\"text/javascript\"}),n=URL.createObjectURL(r);try{e=new Worker(n),t=!0}catch(e){t=!1}return e&&e.terminate(),URL.revokeObjectURL(n),t}()?\"Uint8ClampedArray\"in window?ArrayBuffer.isView?function(){var t=document.createElement(\"canvas\");t.width=t.height=1;var e=t.getContext(\"2d\");if(!e)return!1;var r=e.getImageData(0,0,1,1);return r&&r.width===t.width}()?(r=t&&t.failIfMajorPerformanceCaveat,void 0===n[r]&&(n[r]=function(t){var r=function(t){var r=document.createElement(\"canvas\"),n=Object.create(e.webGLContextAttributes);return n.failIfMajorPerformanceCaveat=t,r.probablySupportsContext?r.probablySupportsContext(\"webgl\",n)||r.probablySupportsContext(\"experimental-webgl\",n):r.supportsContext?r.supportsContext(\"webgl\",n)||r.supportsContext(\"experimental-webgl\",n):r.getContext(\"webgl\",n)||r.getContext(\"experimental-webgl\",n)}(t);if(!r)return!1;var n=r.createShader(r.VERTEX_SHADER);return!(!n||r.isContextLost())&&(r.shaderSource(n,\"void main() {}\"),r.compileShader(n),!0===r.getShaderParameter(n,r.COMPILE_STATUS))}(r)),n[r]?void 0:\"insufficient WebGL support\"):\"insufficient Canvas/getImageData support\":\"insufficient ArrayBuffer support\":\"insufficient Uint8ClampedArray support\":\"insufficient worker support\":\"insufficient JSON support\":\"insufficient Object support\":\"insufficient Function support\":\"insufficent Array support\":\"not a browser\";var r}t.exports?t.exports=e:window&&(window.mapboxgl=window.mapboxgl||{},window.mapboxgl.supported=e,window.mapboxgl.notSupportedReason=r);var n={};e.webGLContextAttributes={antialias:!1,alpha:!0,stencil:!0,depth:!0}})),r={create:function(e,r,n){var i=t.window.document.createElement(e);return void 0!==r&&(i.className=r),n&&n.appendChild(i),i},createNS:function(e,r){return t.window.document.createElementNS(e,r)}},n=t.window.document.documentElement.style;function i(t){if(!n)return t[0];for(var e=0;e<t.length;e++)if(t[e]in n)return t[e];return t[0]}var a,o=i([\"userSelect\",\"MozUserSelect\",\"WebkitUserSelect\",\"msUserSelect\"]);r.disableDrag=function(){n&&o&&(a=n[o],n[o]=\"none\")},r.enableDrag=function(){n&&o&&(n[o]=a)};var 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,-w.length),i):this._transitionable.setValue(n,i)}},r.prototype.updateTransitions=function(t){this._transitioning=this._transitionable.transitioned(t,this._transitioning)},r.prototype.hasTransition=function(){return this._transitioning.hasTransition()},r.prototype.recalculate=function(t){this.properties=this._transitioning.possiblyEvaluate(t)},r.prototype._validate=function(e,r,n){return(!n||!1!==n.validate)&&t.emitValidationErrors(this,e.call(t.validateStyle,t.extend({value:r,style:{glyphs:!0,sprite:!0},styleSpec:t.styleSpec})))},r}(t.Evented),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.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,extent:t.EXTENT,radius:(n.clusterRadius||50)*o,log:!1,generateId:n.generateId||!1},clusterProperties:n.clusterProperties},n.workerOptions)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){var e=this;this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(r){if(r)e.fire(new t.ErrorEvent(r));else{var n={dataType:\"source\",sourceDataType:\"metadata\"};e._collectResourceTiming&&e._resourceTiming&&e._resourceTiming.length>0&&(n.resourceTiming=e._resourceTiming,e._resourceTiming=[]),e.fire(new t.Event(\"data\",n))}}))},r.prototype.onAdd=function(t){this.map=t,this.load()},r.prototype.setData=function(e){var r=this;return this._data=e,this.fire(new t.Event(\"dataloading\",{dataType:\"source\"})),this._updateWorkerData((function(e){if(e)r.fire(new t.ErrorEvent(e));else{var n={dataType:\"source\",sourceDataType:\"content\"};r._collectResourceTiming&&r._resourceTiming&&r._resourceTiming.length>0&&(n.resourceTiming=r._resourceTiming,r._resourceTiming=[]),r.fire(new t.Event(\"data\",n))}})),this},r.prototype.getClusterExpansionZoom=function(t,e){return this.actor.send(\"geojson.getClusterExpansionZoom\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterChildren=function(t,e){return this.actor.send(\"geojson.getClusterChildren\",{clusterId:t,source:this.id},e),this},r.prototype.getClusterLeaves=function(t,e,r,n){return this.actor.send(\"geojson.getClusterLeaves\",{source:this.id,clusterId:t,limit:e,offset:r},n),this},r.prototype._updateWorkerData=function(e){var r=this;this._loaded=!1;var n=t.extend({},this.workerOptions),i=this._data;\"string\"==typeof i?(n.request=this.map._requestManager.transformRequest(t.browser.resolveURL(i),t.ResourceType.Source),n.request.collectResourceTiming=this._collectResourceTiming):n.data=JSON.stringify(i),this.actor.send(this.type+\".loadData\",n,(function(t,i){r._removed||i&&i.abandoned||(r._loaded=!0,i&&i.resourceTiming&&i.resourceTiming[r.id]&&(r._resourceTiming=i.resourceTiming[r.id].slice(0)),r.actor.send(r.type+\".coalesce\",{source:n.source},null),e(t))}))},r.prototype.loaded=function(){return this._loaded},r.prototype.loadTile=function(e,r){var n=this,i=e.actor?\"reloadTile\":\"loadTile\";e.actor=this.actor;var a={type:this.type,uid:e.uid,tileID:e.tileID,zoom:e.tileID.overscaledZ,maxZoom:this.maxzoom,tileSize:this.tileSize,source:this.id,pixelRatio:t.browser.devicePixelRatio,showCollisionBoxes:this.map.showCollisionBoxes,promoteId:this.promoteId};e.request=this.actor.send(i,a,(function(t,a){return delete e.request,e.unloadVectorData(),e.aborted?r(null):t?r(t):(e.loadVectorData(a,n.map.painter,\"reloadTile\"===i),r(null))}))},r.prototype.abortTile=function(t){t.request&&(t.request.cancel(),delete t.request),t.aborted=!0},r.prototype.unloadTile=function(t){t.unloadVectorData(),this.actor.send(\"removeTile\",{uid:t.uid,type:this.type,source:this.id})},r.prototype.onRemove=function(){this._removed=!0,this.actor.send(\"removeSource\",{type:this.type,source:this.id})},r.prototype.serialize=function(){return t.extend({},this._options,{type:this.type,data:this._data})},r.prototype.hasTransition=function(){return!1},r}(t.Evented),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 D=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),z=function(e){function r(r,n,i,a){e.call(this,r,n,i,a),n.coordinates?Array.isArray(n.coordinates)&&4===n.coordinates.length&&!n.coordinates.some((function(t){return!Array.isArray(t)||2!==t.length||t.some((function(t){return\"number\"!=typeof t}))}))||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"coordinates\" property must be an array of 4 longitude/latitude array pairs'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"coordinates\"'))),n.animate&&\"boolean\"!=typeof n.animate&&this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'optional \"animate\" property must be a boolean value'))),n.canvas?\"string\"==typeof n.canvas||n.canvas instanceof t.window.HTMLCanvasElement||this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'\"canvas\" must be either a string representing the ID of the canvas element from which to read, or an HTMLCanvasElement instance'))):this.fire(new t.ErrorEvent(new t.ValidationError(\"sources.\"+r,null,'missing required property \"canvas\"'))),this.options=n,this.animate=void 0===n.animate||n.animate}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.load=function(){this._loaded=!0,this.canvas||(this.canvas=this.options.canvas instanceof t.window.HTMLCanvasElement?this.options.canvas:t.window.document.getElementById(this.options.canvas)),this.width=this.canvas.width,this.height=this.canvas.height,this._hasInvalidDimensions()?this.fire(new t.ErrorEvent(new Error(\"Canvas dimensions cannot be less than or equal to zero.\"))):(this.play=function(){this._playing=!0,this.map.triggerRepaint()},this.pause=function(){this._playing&&(this.prepare(),this._playing=!1)},this._finishLoading())},r.prototype.getCanvas=function(){return this.canvas},r.prototype.onAdd=function(t){this.map=t,this.load(),this.canvas&&this.animate&&this.play()},r.prototype.onRemove=function(){this.pause()},r.prototype.prepare=function(){var e=!1;if(this.canvas.width!==this.width&&(this.width=this.canvas.width,e=!0),this.canvas.height!==this.height&&(this.height=this.canvas.height,e=!0),!this._hasInvalidDimensions()&&0!==Object.keys(this.tiles).length){var r=this.map.painter.context,n=r.gl;for(var i in this.boundsBuffer||(this.boundsBuffer=r.createVertexBuffer(this._boundsArray,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:D,image:I,canvas:z};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 c=o[u],f=l[u]=l[u]||{},h=e[u]=e[u]||[],p=0,d=c;p<d.length;p+=1){var v=d[p];f[v.featureIndex]||(f[v.featureIndex]=!0,h.push(v))}}return e}(u);for(var d in p)p[d].forEach((function(e){var r=e.feature,n=t.getFeatureState(r.layer[\"source-layer\"],r.id);r.source=r.layer.source,r.layer[\"source-layer\"]&&(r.sourceLayer=r.layer[\"source-layer\"]),r.state=n}));return p}function N(t,e){var r=t.tileID,n=e.tileID;return r.overscaledZ-n.overscaledZ||r.canonical.y-n.canonical.y||r.wrap-n.wrap||r.canonical.x-n.canonical.x}var j=function(t,e){this.max=t,this.onRemove=e,this.reset()};j.prototype.reset=function(){for(var t in this.data)for(var e=0,r=this.data[t];e<r.length;e+=1){var n=r[e];n.timeout&&clearTimeout(n.timeout),this.onRemove(n.value)}return this.data={},this.order=[],this},j.prototype.add=function(t,e,r){var n=this,i=t.wrapped().key;void 0===this.data[i]&&(this.data[i]=[]);var a={value:e,timeout:void 0};if(void 0!==r&&(a.timeout=setTimeout((function(){n.remove(t,a)}),r)),this.data[i].push(a),this.order.push(i),this.order.length>this.max){var o=this._getAndRemoveByKey(this.order[0]);o&&this.onRemove(o)}return this},j.prototype.has=function(t){return t.wrapped().key in this.data},j.prototype.getAndRemove=function(t){return this.has(t)?this._getAndRemoveByKey(t.wrapped().key):null},j.prototype._getAndRemoveByKey=function(t){var e=this.data[t].shift();return e.timeout&&clearTimeout(e.timeout),0===this.data[t].length&&delete this.data[t],this.order.splice(this.order.indexOf(t),1),e.value},j.prototype.getByKey=function(t){var e=this.data[t];return e?e[0].value:null},j.prototype.get=function(t){return this.has(t)?this.data[t.wrapped().key][0].value:null},j.prototype.remove=function(t,e){if(!this.has(t))return this;var r=t.wrapped().key,n=void 0===e?0:this.data[r].indexOf(e),i=this.data[r][n];return this.data[r].splice(n,1),i.timeout&&clearTimeout(i.timeout),0===this.data[r].length&&delete this.data[r],this.onRemove(i.value),this.order.splice(this.order.indexOf(r),1),this},j.prototype.setMaxSize=function(t){for(this.max=t;this.order.length>this.max;){var e=this._getAndRemoveByKey(this.order[0]);e&&this.onRemove(e)}return this},j.prototype.filter=function(t){var e=[];for(var r in this.data)for(var n=0,i=this.data[r];n<i.length;n+=1){var a=i[n];t(a.value)||e.push(a)}for(var o=0,s=e;o<s.length;o+=1){var l=s[o];this.remove(l.value.tileID,l)}};var U=function(t,e,r){this.context=t;var n=t.gl;this.buffer=n.createBuffer(),this.dynamicDraw=Boolean(r),this.context.unbindVAO(),t.bindElementBuffer.set(this.buffer),n.bufferData(n.ELEMENT_ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?n.DYNAMIC_DRAW:n.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};U.prototype.bind=function(){this.context.bindElementBuffer.set(this.buffer)},U.prototype.updateData=function(t){var e=this.context.gl;this.context.unbindVAO(),this.bind(),e.bufferSubData(e.ELEMENT_ARRAY_BUFFER,0,t.arrayBuffer)},U.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var V={Int8:\"BYTE\",Uint8:\"UNSIGNED_BYTE\",Int16:\"SHORT\",Uint16:\"UNSIGNED_SHORT\",Int32:\"INT\",Uint32:\"UNSIGNED_INT\",Float32:\"FLOAT\"},H=function(t,e,r,n){this.length=e.length,this.attributes=r,this.itemSize=e.bytesPerElement,this.dynamicDraw=n,this.context=t;var i=t.gl;this.buffer=i.createBuffer(),t.bindVertexBuffer.set(this.buffer),i.bufferData(i.ARRAY_BUFFER,e.arrayBuffer,this.dynamicDraw?i.DYNAMIC_DRAW:i.STATIC_DRAW),this.dynamicDraw||delete e.arrayBuffer};H.prototype.bind=function(){this.context.bindVertexBuffer.set(this.buffer)},H.prototype.updateData=function(t){var e=this.context.gl;this.bind(),e.bufferSubData(e.ARRAY_BUFFER,0,t.arrayBuffer)},H.prototype.enableAttributes=function(t,e){for(var r=0;r<this.attributes.length;r++){var n=this.attributes[r],i=e.attributes[n.name];void 0!==i&&t.enableVertexAttribArray(i)}},H.prototype.setVertexAttribPointers=function(t,e,r){for(var n=0;n<this.attributes.length;n++){var i=this.attributes[n],a=e.attributes[i.name];void 0!==a&&t.vertexAttribPointer(a,i.components,t[V[i.type]],!1,this.itemSize,i.offset+this.itemSize*(r||0))}},H.prototype.destroy=function(){var t=this.context.gl;this.buffer&&(t.deleteBuffer(this.buffer),delete this.buffer)};var q=function(t){this.gl=t.gl,this.default=this.getDefault(),this.current=this.default,this.dirty=!1};q.prototype.get=function(){return this.current},q.prototype.set=function(t){},q.prototype.getDefault=function(){return this.default},q.prototype.setDefault=function(){this.set(this.default)};var G=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.clearColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),Z=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 1},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearDepth(t),this.current=t,this.dirty=!1)},e}(q),Y=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.clearStencil(t),this.current=t,this.dirty=!1)},e}(q),W=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return[!0,!0,!0,!0]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.colorMask(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),X=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!0},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.depthMask(t),this.current=t,this.dirty=!1)},e}(q),J=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 255},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.stencilMask(t),this.current=t,this.dirty=!1)},e}(q),K=function(t){function e(){t.apply(this,arguments)}return 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t=this.gl;return[t.ONE,t.ZERO]},e.prototype.set=function(t){var e=this.current;(t[0]!==e[0]||t[1]!==e[1]||this.dirty)&&(this.gl.blendFunc(t[0],t[1]),this.current=t,this.dirty=!1)},e}(q),at=function(e){function r(){e.apply(this,arguments)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getDefault=function(){return t.Color.transparent},r.prototype.set=function(t){var e=this.current;(t.r!==e.r||t.g!==e.g||t.b!==e.b||t.a!==e.a||this.dirty)&&(this.gl.blendColor(t.r,t.g,t.b,t.a),this.current=t,this.dirty=!1)},r}(q),ot=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.FUNC_ADD},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.blendEquation(t),this.current=t,this.dirty=!1)},e}(q),st=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;t?e.enable(e.CULL_FACE):e.disable(e.CULL_FACE),this.current=t,this.dirty=!1}},e}(q),lt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.BACK},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.cullFace(t),this.current=t,this.dirty=!1)},e}(q),ut=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return this.gl.CCW},e.prototype.set=function(t){(t!==this.current||this.dirty)&&(this.gl.frontFace(t),this.current=t,this.dirty=!1)},e}(q),ct=function(t){function e(){t.apply(this,arguments)}return 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e=this.current;(t[0]!==e[0]||t[1]!==e[1]||t[2]!==e[2]||t[3]!==e[3]||this.dirty)&&(this.gl.viewport(t[0],t[1],t[2],t[3]),this.current=t,this.dirty=!1)},e}(q),pt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindFramebuffer(e.FRAMEBUFFER,t),this.current=t,this.dirty=!1}},e}(q),dt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindRenderbuffer(e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(q),vt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindTexture(e.TEXTURE_2D,t),this.current=t,this.dirty=!1}},e}(q),gt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.bindBuffer(e.ARRAY_BUFFER,t),this.current=t,this.dirty=!1}},e}(q),yt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){var e=this.gl;e.bindBuffer(e.ELEMENT_ARRAY_BUFFER,t),this.current=t,this.dirty=!1},e}(q),mt=function(t){function e(e){t.call(this,e),this.vao=e.extVertexArrayObject}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e.prototype.set=function(t){this.vao&&(t!==this.current||this.dirty)&&(this.vao.bindVertexArrayOES(t),this.current=t,this.dirty=!1)},e}(q),xt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return 4},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_ALIGNMENT,t),this.current=t,this.dirty=!1}},e}(q),bt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_PREMULTIPLY_ALPHA_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),_t=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return!1},e.prototype.set=function(t){if(t!==this.current||this.dirty){var e=this.gl;e.pixelStorei(e.UNPACK_FLIP_Y_WEBGL,t),this.current=t,this.dirty=!1}},e}(q),wt=function(t){function e(e,r){t.call(this,e),this.context=e,this.parent=r}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.getDefault=function(){return null},e}(q),Tt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.setDirty=function(){this.dirty=!0},e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferTexture2D(e.FRAMEBUFFER,e.COLOR_ATTACHMENT0,e.TEXTURE_2D,t,0),this.current=t,this.dirty=!1}},e}(wt),kt=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.set=function(t){if(t!==this.current||this.dirty){this.context.bindFramebuffer.set(this.parent);var e=this.gl;e.framebufferRenderbuffer(e.FRAMEBUFFER,e.DEPTH_ATTACHMENT,e.RENDERBUFFER,t),this.current=t,this.dirty=!1}},e}(wt),At=function(t,e,r,n){this.context=t,this.width=e,this.height=r;var i=t.gl,a=this.framebuffer=i.createFramebuffer();this.colorAttachment=new Tt(t,a),n&&(this.depthAttachment=new kt(t,a))};At.prototype.destroy=function(){var t=this.context.gl,e=this.colorAttachment.get();if(e&&t.deleteTexture(e),this.depthAttachment){var r=this.depthAttachment.get();r&&t.deleteRenderbuffer(r)}t.deleteFramebuffer(this.framebuffer)};var 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.disabled=new Lt(Lt.Replace=[1,0],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 Z(this),this.clearStencil=new Y(this),this.colorMask=new W(this),this.depthMask=new X(this),this.stencilMask=new J(this),this.stencilFunc=new K(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\")};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 H(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(Dt(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(Dt(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 Dt(t){return\"raster\"===t||\"image\"===t||\"video\"===t}function zt(){return new t.window.Worker(ta.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 zt);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 Ht={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 qt(t,e,r){r.push({command:Ht.addSource,args:[t,e[t]]})}function Gt(t,e,r){e.push({command:Ht.removeSource,args:[t]}),r[t]=!0}function Zt(t,e,r,n){Gt(t,r,n),qt(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 Wt(e,r,n,i,a,o){var s;for(s in r=r||{},e=e||{})e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}));for(s in r)r.hasOwnProperty(s)&&!e.hasOwnProperty(s)&&(t.deepEqual(e[s],r[s])||n.push({command:o,args:[i,s,r[s],a]}))}function Xt(t){return t.id}function Jt(t,e){return t[e.id]=e,t}function Kt(e,r){if(!e)return[{command:Ht.setStyle,args:[r]}];var n=[];try{if(!t.deepEqual(e.version,r.version))return[{command:Ht.setStyle,args:[r]}];t.deepEqual(e.center,r.center)||n.push({command:Ht.setCenter,args:[r.center]}),t.deepEqual(e.zoom,r.zoom)||n.push({command:Ht.setZoom,args:[r.zoom]}),t.deepEqual(e.bearing,r.bearing)||n.push({command:Ht.setBearing,args:[r.bearing]}),t.deepEqual(e.pitch,r.pitch)||n.push({command:Ht.setPitch,args:[r.pitch]}),t.deepEqual(e.sprite,r.sprite)||n.push({command:Ht.setSprite,args:[r.sprite]}),t.deepEqual(e.glyphs,r.glyphs)||n.push({command:Ht.setGlyphs,args:[r.glyphs]}),t.deepEqual(e.transition,r.transition)||n.push({command:Ht.setTransition,args:[r.transition]}),t.deepEqual(e.light,r.light)||n.push({command:Ht.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:Ht.setGeoJSONSourceData,args:[a,r[a].data]}):Zt(a,r,n,i)):qt(a,r,n))}(e.sources,r.sources,a,i);var o=[];e.layers&&e.layers.forEach((function(t){i[t.source]?n.push({command:Ht.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(Xt),h=r.map(Xt),p=e.reduce(Jt,{}),d=r.reduce(Jt,{}),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:Ht.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:Ht.removeLayer,args:[o]}),v.splice(v.lastIndexOf(o,v.length-a),1)):a++,u=v[v.length-i],n.push({command:Ht.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 Wt(s.layout,l.layout,n,o,null,Ht.setLayoutProperty),Wt(s.paint,l.paint,n,o,null,Ht.setPaintProperty),t.deepEqual(s.filter,l.filter)||n.push({command:Ht.setFilter,args:[o,l.filter]}),t.deepEqual(s.minzoom,l.minzoom)&&t.deepEqual(s.maxzoom,l.maxzoom)||n.push({command:Ht.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.\")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.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.\")?Wt(s[c],l[c],n,o,c.slice(6),Ht.setPaintProperty):t.deepEqual(s[c],l[c])||n.push({command:Ht.setLayerProperty,args:[o,c,l[c]]}))}else n.push({command:Ht.removeLayer,args:[o]}),u=v[v.lastIndexOf(o)+1],n.push({command:Ht.addLayer,args:[l,u]})}(o,r.layers,n)}catch(t){console.warn(\"Unable to compute style diff:\",t),n=[{command:Ht.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 D=0,z=v;D<z.length;D+=1){var R=z[D];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 D=C.map((function(t){return re(t,l)}));C=D.some((function(t){return t.signedDistanceFromCamera<=0}))?[]:D.map((function(t){return t.point}))}var z=[];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);z=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=z;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 H=0;H<V;H++){var q=H/Math.max(V-1,1),G=S.lerp(q),Z=G.x+de,Y=G.y+de;d.push(Z,Y,k,0);var W=Z-k,X=Y-k,J=Z+k,K=Y+k;if(T=T&&this.isOffscreen(W,X,J,K),w=w||this.isInsideGrid(W,X,J,K),!e&&this.grid.hitTestCircle(Z,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,D=0,z=0;a.textFeatureIndex?I=a.textFeatureIndex:e.useRuntimeCollisionCircles&&(I=e.featureIndex),a.verticalTextFeatureIndex&&(D=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 H=i.prevPlacement.variableOffsets[e.crossTileID];H&&(i.variableOffsets[e.crossTileID]=H,i.markUsedJustification(o,H.anchor,e,V))}}else{var q=function(t,r){var n=i.collisionIndex.placeCollisionBox(t,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 q(R,t.WritingMode.horizontal)}),(function(){var r=a.verticalTextBox;return o.allowVerticalPlacement&&e.numVerticalGlyphVertices>0&&r?q(r,t.WritingMode.vertical):{box:null,offscreen:null}})),F(L&&L.box&&L.box.length)}}if(T=(p=L)&&p.box&&p.box.length>0,S=p&&p.offscreen,e.useRuntimeCollisionCircles){var G=o.text.placedSymbolArray.get(e.centerJustifiedTextSymbolIndex),Z=t.evaluateSizeForFeature(o.textSizeData,d,G),Y=s.get(\"text-padding\"),W=e.collisionCircleDiameter;P=i.collisionIndex.placeCollisionCircles(m,G,o.lineVertexArray,o.glyphOffsetArray,Z,l,u,c,n,_,v.predicate,W,Y),T=m||P.circles.length>0&&!P.collisionDetected,S=S&&P.offscreen}if(a.iconFeatureIndex&&(z=a.iconFeatureIndex),a.iconBox){var X=function(t){var e=w&&E?ke(t,E.x,E.y,b,_,i.transform.angle):t;return i.collisionIndex.placeCollisionBox(e,x,f,l,v.predicate)};M=C&&C.box&&C.box.length&&a.verticalIconBox?(O=X(a.verticalIconBox)).box.length>0:(O=X(a.iconBox)).box.length>0,S=S&&O.offscreen}var J=g||0===e.numHorizontalGlyphVertices&&0===e.numVerticalGlyphVertices,K=y||0===e.numIconVertices;if(J||K?K?J||(M=M&&T):T=M&&T:M=T=M&&T,T&&p&&p.box&&(C&&C.box&&D?i.collisionIndex.insertCollisionBox(p.box,s.get(\"text-ignore-placement\"),o.bucketInstanceId,D,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,z,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=De(y.text),k=_?ze:T;d(e.text,s,k);var A=w?ze: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=De(y.icon),C=!(h&&a.verticalPlacedIconSymbolIndex&&_);if(a.placedIconSymbolIndex>=0){var P=C?L:ze;d(e.icon,a.numIconVertices,P),e.icon.placedSymbolArray.get(a.placedIconSymbolIndex).hidden=y.icon.isHidden()}if(a.verticalPlacedIconSymbolIndex>=0){var O=C?ze: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 D=new t.Point(0,0);if(I.textBox||I.verticalTextBox){var z=!0;if(u){var R=i.variableOffsets[v];R?(D=Te(R.anchor,R.width,R.height,R.textOffset,R.textBoxScale),c&&D._rotate(f?i.transform.angle:-i.transform.angle)):z=!1}I.textBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||_,D.x,D.y),I.verticalTextBox&&Me(e.textCollisionBox.collisionVertexArray,y.text.placed,!z||w,D.x,D.y)}var F=Boolean(!w&&I.verticalIconBox);I.iconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,F,h?D.x:0,h?D.y:0),I.verticalIconBox&&Me(e.iconCollisionBox.collisionVertexArray,y.icon.placed,!F,h?D.x:0,h?D.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 De(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 ze=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 He=function(e,r){return t.emitValidationErrors(e,r&&r.filter((function(t){return\"source.canvas\"!==t.identifier})))},qe=t.pick(Ht,[\"addLayer\",\"removeLayer\",\"setPaintProperty\",\"setLayoutProperty\",\"setFilter\",\"addSource\",\"removeSource\",\"setLayerZoomRange\",\"setLight\",\"setTransition\",\"setGeoJSONSourceData\"]),Ge=t.pick(Ht,[\"setCenter\",\"setZoom\",\"setBearing\",\"setPitch\"]),Ze=function(){var e={},r=t.styleSpec.$version;for(var n in t.styleSpec.$root){var i=t.styleSpec.$root[n];if(i.required){var a;null!=(a=\"version\"===n?r:\"array\"===i.type?[]:{})&&(e[n]=a)}}return e}(),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(Ze,!1)},r.prototype._load=function(e,r){if(!r||!He(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()}for(var l in this.sourceCaches)this.sourceCaches[l].used=!1;for(var u=0,c=this._order;u<c.length;u+=1){var f=c[u],h=this._layers[f];h.recalculate(e,this._availableImages),!h.isHidden(e.zoom)&&h.source&&(this.sourceCaches[h.source].used=!0)}this.light.recalculate(e),this.z=e.zoom,r&&this.fire(new t.Event(\"data\",{dataType:\"style\"}))}},r.prototype._updateTilesForChangedImages=function(){var t=Object.keys(this._changedImages);if(t.length){for(var e in this.sourceCaches)this.sourceCaches[e].reloadTilesForDependencies([\"icons\",\"patterns\"],t);this._changedImages={}}},r.prototype._updateWorkerLayers=function(t,e){this.dispatcher.broadcast(\"updateLayers\",{layers:this._serializeLayers(t),removedIds:e})},r.prototype._resetUpdates=function(){this._changed=!1,this._updatedLayers={},this._removedLayers={},this._updatedSources={},this._updatedPaintProps={},this._changedImages={}},r.prototype.setState=function(e){var r=this;if(this._checkLoaded(),He(this,t.validateStyle(e)))return!1;(e=t.clone$1(e)).layers=Vt(e.layers);var n=Kt(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 qe)}));if(i.length>0)throw new Error(\"Unimplemented: \"+i.map((function(t){return t.command})).join(\", \")+\".\");return n.forEach((function(t){\"setTransition\"!==t.command&&r[t.command].apply(r,t.args)})),this.stylesheet=e,!0},r.prototype.addImage=function(e,r){if(this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"An image with this name already exists.\")));this.imageManager.addImage(e,r),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.updateImage=function(t,e){this.imageManager.updateImage(t,e)},r.prototype.getImage=function(t){return this.imageManager.getImage(t)},r.prototype.removeImage=function(e){if(!this.getImage(e))return this.fire(new t.ErrorEvent(new Error(\"No image with this name exists.\")));this.imageManager.removeImage(e),this._availableImages=this.imageManager.listImages(),this._changedImages[e]=!0,this._changed=!0,this.fire(new t.Event(\"data\",{dataType:\"style\"}))},r.prototype.listImages=function(){return this._checkLoaded(),this.imageManager.listImages()},r.prototype.addSource=function(e,r,n){var i=this;if(void 0===n&&(n={}),this._checkLoaded(),void 0!==this.sourceCaches[e])throw new Error(\"There is already a source with this ID\");if(!r.type)throw new Error(\"The type property must be defined, but the only the following properties were given: \"+Object.keys(r).join(\", \")+\".\");if(!([\"vector\",\"raster\",\"geojson\",\"video\",\"image\"].indexOf(r.type)>=0&&this._validate(t.validateStyle.source,\"sources.\"+e,r,null,n))){this.map&&this.map._collectResourceTiming&&(r.collectResourceTiming=!0);var a=this.sourceCaches[e]=new 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(He(this,t.validateCustomStyleLayer(e)))return;a=t.createStyleLayer(e)}else{if(\"object\"==typeof e.source&&(this.addSource(i,e.source),e=t.clone$1(e),e=t.extend(e,{source:i})),this._validate(t.validateStyle.layer,\"layers.\"+i,e,{arrayIndex:-1},n))return;a=t.createStyleLayer(e),this._validateLayer(a),a.setEventedParent(this,{layer:{id:i}}),this._serializedLayers[a.id]=a.serialize()}var o=r?this._order.indexOf(r):this._order.length;if(r&&-1===o)this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.')));else{if(this._order.splice(o,0,i),this._layerOrderChanged=!0,this._layers[i]=a,this._removedLayers[i]&&a.source&&\"custom\"!==a.type){var s=this._removedLayers[i];delete this._removedLayers[i],s.type!==a.type?this._updatedSources[a.source]=\"clear\":(this._updatedSources[a.source]=\"reload\",this.sourceCaches[a.source].pause())}this._updateLayer(a),a.onAdd&&a.onAdd(this.map)}}},r.prototype.moveLayer=function(e,r){if(this._checkLoaded(),this._changed=!0,this._layers[e]){if(e!==r){var n=this._order.indexOf(e);this._order.splice(n,1);var i=r?this._order.indexOf(r):this._order.length;r&&-1===i?this.fire(new t.ErrorEvent(new Error('Layer with id \"'+r+'\" does not exist on this map.'))):(this._order.splice(i,0,e),this._layerOrderChanged=!0)}}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be moved.\")))},r.prototype.removeLayer=function(e){this._checkLoaded();var r=this._layers[e];if(r){r.setEventedParent(null);var n=this._order.indexOf(e);this._order.splice(n,1),this._layerOrderChanged=!0,this._changed=!0,this._removedLayers[e]=r,delete this._layers[e],delete this._serializedLayers[e],delete this._updatedLayers[e],delete this._updatedPaintProps[e],r.onRemove&&r.onRemove(this.map)}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be removed.\")))},r.prototype.getLayer=function(t){return this._layers[t]},r.prototype.hasLayer=function(t){return t in this._layers},r.prototype.setLayerZoomRange=function(e,r,n){this._checkLoaded();var i=this.getLayer(e);i?i.minzoom===r&&i.maxzoom===n||(null!=r&&(i.minzoom=r),null!=n&&(i.maxzoom=n),this._updateLayer(i)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot have zoom extent.\")))},r.prototype.setFilter=function(e,r,n){void 0===n&&(n={}),this._checkLoaded();var i=this.getLayer(e);if(i){if(!t.deepEqual(i.filter,r))return null==r?(i.filter=void 0,void this._updateLayer(i)):void(this._validate(t.validateStyle.filter,\"layers.\"+i.id+\".filter\",r,null,n)||(i.filter=t.clone$1(r),this._updateLayer(i)))}else this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be filtered.\")))},r.prototype.getFilter=function(e){return t.clone$1(this.getLayer(e).filter)},r.prototype.setLayoutProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getLayoutProperty(r),n)||(a.setLayoutProperty(r,n,i),this._updateLayer(a)):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getLayoutProperty=function(e,r){var n=this.getLayer(e);if(n)return n.getLayoutProperty(r);this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style.\")))},r.prototype.setPaintProperty=function(e,r,n,i){void 0===i&&(i={}),this._checkLoaded();var a=this.getLayer(e);a?t.deepEqual(a.getPaintProperty(r),n)||(a.setPaintProperty(r,n,i)&&this._updateLayer(a),this._changed=!0,this._updatedPaintProps[e]=!0):this.fire(new t.ErrorEvent(new Error(\"The layer '\"+e+\"' does not exist in the map's style and cannot be styled.\")))},r.prototype.getPaintProperty=function(t,e){return this.getLayer(t).getPaintProperty(e)},r.prototype.setFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=e.sourceLayer,a=this.sourceCaches[n];if(void 0!==a){var o=a.getSource().type;\"geojson\"===o&&i?this.fire(new t.ErrorEvent(new Error(\"GeoJSON sources cannot have a sourceLayer parameter.\"))):\"vector\"!==o||i?(void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),a.setFeatureState(i,e.id,r)):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.removeFeatureState=function(e,r){this._checkLoaded();var n=e.source,i=this.sourceCaches[n];if(void 0!==i){var a=i.getSource().type,o=\"vector\"===a?e.sourceLayer:void 0;\"vector\"!==a||o?r&&\"string\"!=typeof e.id&&\"number\"!=typeof e.id?this.fire(new t.ErrorEvent(new Error(\"A feature id is requred to remove its specific state property.\"))):i.removeFeatureState(o,e.id,r):this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+n+\"' does not exist in the map's style.\")))},r.prototype.getFeatureState=function(e){this._checkLoaded();var r=e.source,n=e.sourceLayer,i=this.sourceCaches[r];if(void 0!==i){if(\"vector\"!==i.getSource().type||n)return void 0===e.id&&this.fire(new t.ErrorEvent(new Error(\"The feature id parameter must be provided.\"))),i.getFeatureState(n,e.id);this.fire(new t.ErrorEvent(new Error(\"The sourceLayer parameter must be provided for vector source types.\")))}else this.fire(new t.ErrorEvent(new Error(\"The source '\"+r+\"' does not exist in the map's style.\")))},r.prototype.getTransition=function(){return t.extend({duration:300,delay:0},this.stylesheet&&this.stylesheet.transition)},r.prototype.serialize=function(){return t.filterObject({version:this.stylesheet.version,name:this.stylesheet.name,metadata:this.stylesheet.metadata,light:this.stylesheet.light,center:this.stylesheet.center,zoom:this.stylesheet.zoom,bearing:this.stylesheet.bearing,pitch:this.stylesheet.pitch,sprite:this.stylesheet.sprite,glyphs:this.stylesheet.glyphs,transition:this.stylesheet.transition,sources:t.mapObject(this.sourceCaches,(function(t){return t.serialize()})),layers:this._serializeLayers(this._order)},(function(t){return void 0!==t}))},r.prototype._updateLayer=function(t){this._updatedLayers[t.id]=!0,t.source&&!this._updatedSources[t.source]&&\"raster\"!==this.sourceCaches[t.source].getSource().type&&(this._updatedSources[t.source]=\"reload\",this.sourceCaches[t.source].pause()),this._changed=!0},r.prototype._flattenAndSortRenderedFeatures=function(t){for(var e=this,r=function(t){return\"fill-extrusion\"===e._layers[t].type},n={},i=[],a=this._order.length-1;a>=0;a--){var o=this._order[a];if(r(o)){n[o]=a;for(var s=0,l=t;s<l.length;s+=1){var 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)&&He(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 We=t.createLayout([{name:\"a_pos\",type:\"Int16\",components:2}]),Xe=_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;}\"),Je=_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);}\"),Ke=_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 float u_maxzoom;uniform vec4 u_unpack;float getElevation(vec2 coord,float bias) {vec4 data=texture2D(u_image,coord)*255.0;data.a=-1.0;return dot(data,u_unpack)/4.0;}void main() {vec2 epsilon=1.0/u_dimension;float a=getElevation(v_pos+vec2(-epsilon.x,-epsilon.y),0.0);float b=getElevation(v_pos+vec2(0,-epsilon.y),0.0);float c=getElevation(v_pos+vec2(epsilon.x,-epsilon.y),0.0);float d=getElevation(v_pos+vec2(-epsilon.x,0),0.0);float e=getElevation(v_pos,0.0);float f=getElevation(v_pos+vec2(epsilon.x,0),0.0);float g=getElevation(v_pos+vec2(-epsilon.x,epsilon.y),0.0);float h=getElevation(v_pos+vec2(0,epsilon.y),0.0);float i=getElevation(v_pos+vec2(epsilon.x,epsilon.y),0.0);float exaggeration=u_zoom < 2.0 ? 0.4 : u_zoom < 4.5 ? 0.35 : 0.3;vec2 deriv=vec2((c+f+f+i)-(a+d+d+g),(g+h+h+i)-(a+b+b+c))/ pow(2.0,(u_zoom-u_maxzoom)*exaggeration+19.2562-u_zoom);gl_FragColor=clamp(vec4(deriv.x/2.0+0.5,deriv.y/2.0+0.5,1.0,1.0),0.0,1.0);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"uniform mat4 u_matrix;uniform vec2 u_dimension;attribute vec2 a_pos;attribute vec2 a_texture_pos;varying vec2 v_pos;void main() {gl_Position=u_matrix*vec4(a_pos,0,1);highp vec2 epsilon=1.0/u_dimension;float scale=(u_dimension.x-2.0)/u_dimension.x;v_pos=(a_texture_pos/8192.0)*scale+epsilon;}\"),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 float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\nfloat dist=length(v_normal)*v_width2.s;float blur2=(blur+1.0/u_device_pixel_ratio)*v_gamma_scale;float alpha=clamp(min(dist-(v_width2.t-blur2),v_width2.s-dist)/blur2,0.0,1.0);vec4 color=texture2D(u_image,vec2(v_lineprogress,0.5));gl_FragColor=color*(alpha*opacity);\\n#ifdef OVERDRAW_INSPECTOR\\ngl_FragColor=vec4(1.0);\\n#endif\\n}\",\"\\n#define MAX_LINE_DISTANCE 32767.0\\n#define scale 0.015873016\\nattribute vec2 a_pos_normal;attribute vec4 a_data;uniform mat4 u_matrix;uniform mediump float u_ratio;uniform lowp float u_device_pixel_ratio;uniform vec2 u_units_to_pixels;varying vec2 v_normal;varying vec2 v_width2;varying float v_gamma_scale;varying highp float v_lineprogress;\\n#pragma mapbox: define lowp float blur\\n#pragma mapbox: define lowp float opacity\\n#pragma mapbox: define mediump float gapwidth\\n#pragma mapbox: define lowp float offset\\n#pragma mapbox: define mediump float width\\nvoid main() {\\n#pragma mapbox: initialize lowp float blur\\n#pragma mapbox: initialize lowp float opacity\\n#pragma mapbox: initialize mediump float gapwidth\\n#pragma mapbox: initialize lowp float offset\\n#pragma mapbox: initialize mediump float width\\nfloat ANTIALIASING=1.0/u_device_pixel_ratio/2.0;vec2 a_extrude=a_data.xy-128.0;float a_direction=mod(a_data.z,4.0)-1.0;v_lineprogress=(floor(a_data.z/4.0)+a_data.w*64.0)*2.0/MAX_LINE_DISTANCE;vec2 pos=floor(a_pos_normal*0.5);mediump vec2 normal=a_pos_normal-2.0*pos;normal.y=normal.y*2.0-1.0;v_normal=normal;gapwidth=gapwidth/2.0;float halfwidth=width/2.0;offset=-1.0*offset;float inset=gapwidth+(gapwidth > 0.0 ? ANTIALIASING : 0.0);float outset=gapwidth+halfwidth*(gapwidth > 0.0 ? 2.0 : 1.0)+(halfwidth==0.0 ? 0.0 : ANTIALIASING);mediump vec2 dist=outset*a_extrude*scale;mediump float u=0.5*a_direction;mediump float t=1.0-abs(u);mediump vec2 offset2=offset*a_extrude*scale*normal.y*mat2(t,-u,u,t);vec4 projected_extrude=u_matrix*vec4(dist/u_ratio,0.0,0.0);gl_Position=u_matrix*vec4(pos+offset2/u_ratio,0.0,1.0)+projected_extrude;float extrude_length_without_perspective=length(dist);float extrude_length_with_perspective=length(projected_extrude.xy/gl_Position.w*u_units_to_pixels);v_gamma_scale=extrude_length_without_perspective/extrude_length_with_perspective;v_width2=vec2(outset,inset);}\"),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={};return{fragmentSource:t=t.replace(r,(function(t,e,r,i,a){return n[a]=!0,\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"\\n#ifdef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"})),vertexSource:e=e.replace(r,(function(t,e,r,i,a){var o=\"float\"===i?\"vec2\":\"vec4\",s=a.match(/color/)?\"color\":o;return n[a]?\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\nvarying \"+r+\" \"+i+\" \"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"define\"===e?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\nuniform lowp float u_\"+a+\"_t;\\nattribute \"+r+\" \"+o+\" a_\"+a+\";\\n#else\\nuniform \"+r+\" \"+i+\" u_\"+a+\";\\n#endif\\n\":\"vec4\"===s?\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = a_\"+a+\";\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\":\"\\n#ifndef HAS_UNIFORM_u_\"+a+\"\\n    \"+r+\" \"+i+\" \"+a+\" = unpack_mix_\"+s+\"(a_\"+a+\", u_\"+a+\"_t);\\n#else\\n    \"+r+\" \"+i+\" \"+a+\" = u_\"+a+\";\\n#endif\\n\"}))}}var wr=Object.freeze({__proto__:null,prelude:Xe,background:Je,backgroundPattern:Ke,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};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 kr=function(t,e,r,n,i){var a=t.gl;this.program=a.createProgram();var o=r?r.defines():[];i&&o.push(\"#define OVERDRAW_INSPECTOR;\");var s=o.concat(Xe.fragmentSource,e.fragmentSource).join(\"\\n\"),l=o.concat(Xe.vertexSource,e.vertexSource).join(\"\\n\"),u=a.createShader(a.FRAGMENT_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(u,s),a.compileShader(u),a.attachShader(this.program,u);var c=a.createShader(a.VERTEX_SHADER);if(a.isContextLost())this.failedToCreate=!0;else{a.shaderSource(c,l),a.compileShader(c),a.attachShader(this.program,c);for(var f=r?r.layoutAttributes:[],h=0;h<f.length;h++)a.bindAttribLocation(this.program,h,f[h].name);a.linkProgram(this.program),a.deleteShader(c),a.deleteShader(u),this.numAttributes=a.getProgramParameter(this.program,a.ACTIVE_ATTRIBUTES),this.attributes={};for(var p={},d=0;d<this.numAttributes;d++){var v=a.getActiveAttrib(this.program,d);v&&(this.attributes[v.name]=a.getAttribLocation(this.program,v.name))}for(var g=a.getProgramParameter(this.program,a.ACTIVE_UNIFORMS),y=0;y<g;y++){var m=a.getActiveUniform(this.program,y);m&&(p[m.name]=a.getUniformLocation(this.program,m.name))}this.fixedUniforms=n(t,p),this.binderUniforms=r?r.getUniforms(t,p):[]}}};function Ar(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]}}kr.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 Mr=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}},Sr=function(e,r,n,i,a,o,s){return t.extend(Mr(e,r,n,i),Ar(o,r,s),{u_height_factor:-Math.pow(2,a.overscaledZ)/s.tileSize/8})},Er=function(t){return{u_matrix:t}},Lr=function(e,r,n,i){return t.extend(Er(e),Ar(n,r,i))},Cr=function(t,e){return{u_matrix:t,u_world:e}},Pr=function(e,r,n,i,a){return t.extend(Lr(e,r,n,i),{u_world:a})},Or=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}},Ir=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]}},zr=function(t,e,r){return void 0===r&&(r=1),{u_matrix:t,u_color:e,u_overlay:0,u_overlay_scale:r}},Rr=function(t){return{u_matrix:t}},Fr=function(t,e,r,n){return{u_matrix:t,u_extrude_scale:ge(e,1,r),u_intensity:n}};var Br=function(e,r,n){var i=e.transform;return{u_matrix:Hr(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]]}},Nr=function(e,r,n){return t.extend(Br(e,r,n),{u_image:0})},jr=function(e,r,n,i){var a=e.transform,o=Vr(r,a);return{u_matrix:Hr(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]]}},Ur=function(e,r,n,i,a){var o=e.transform,s=e.lineAtlas,l=Vr(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(Br(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 Vr(t,e){return 1/ge(t,1,e.tileZoom)}function Hr(t,e,r){return t.translatePosMatrix(e.tileID.posMatrix,e,r.paint.get(\"line-translate\"),r.paint.get(\"line-translate-anchor\"))}var qr=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:Gr(i.paint.get(\"raster-hue-rotate\"))};var a,o};function Gr(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 Zr,Yr=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}},Wr=function(e,r,n,i,a,o,s,l,u,c,f){var h=a.transform;return t.extend(Yr(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})},Xr=function(e,r,n,i,a,o,s,l,u,c){return t.extend(Wr(e,r,n,i,a,o,s,l,!0,u,!0),{u_texsize_icon:c,u_texture_icon:1})},Jr=function(t,e,r){return{u_matrix:t,u_opacity:e,u_color:r}},Kr=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})},$r={fillExtrusion:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fillExtrusionPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_lightpos:new t.Uniform3f(e,r.u_lightpos),u_lightintensity:new t.Uniform1f(e,r.u_lightintensity),u_lightcolor:new t.Uniform3f(e,r.u_lightcolor),u_vertical_gradient:new t.Uniform1f(e,r.u_vertical_gradient),u_height_factor:new t.Uniform1f(e,r.u_height_factor),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade),u_opacity:new t.Uniform1f(e,r.u_opacity)}},fill:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},fillPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},fillOutline:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world)}},fillOutlinePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_texsize:new t.Uniform2f(e,r.u_texsize),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},circle:function(e,r){return{u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_scale_with_map:new t.Uniform1i(e,r.u_scale_with_map),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},collisionBox:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pixels_to_tile_units:new t.Uniform1f(e,r.u_pixels_to_tile_units),u_extrude_scale:new t.Uniform2f(e,r.u_extrude_scale),u_overscale_factor:new t.Uniform1f(e,r.u_overscale_factor)}},collisionCircle:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_inv_matrix:new t.UniformMatrix4f(e,r.u_inv_matrix),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_viewport_size:new t.Uniform2f(e,r.u_viewport_size)}},debug:function(e,r){return{u_color:new t.UniformColor(e,r.u_color),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_overlay:new t.Uniform1i(e,r.u_overlay),u_overlay_scale:new t.Uniform1f(e,r.u_overlay_scale)}},clippingMask:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmap:function(e,r){return{u_extrude_scale:new t.Uniform1f(e,r.u_extrude_scale),u_intensity:new t.Uniform1f(e,r.u_intensity),u_matrix:new t.UniformMatrix4f(e,r.u_matrix)}},heatmapTexture:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_world:new t.Uniform2f(e,r.u_world),u_image:new t.Uniform1i(e,r.u_image),u_color_ramp:new t.Uniform1i(e,r.u_color_ramp),u_opacity:new t.Uniform1f(e,r.u_opacity)}},hillshade:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_latrange:new t.Uniform2f(e,r.u_latrange),u_light:new t.Uniform2f(e,r.u_light),u_shadow:new t.UniformColor(e,r.u_shadow),u_highlight:new t.UniformColor(e,r.u_highlight),u_accent:new t.UniformColor(e,r.u_accent)}},hillshadePrepare:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_image:new t.Uniform1i(e,r.u_image),u_dimension:new t.Uniform2f(e,r.u_dimension),u_zoom:new t.Uniform1f(e,r.u_zoom),u_maxzoom:new t.Uniform1f(e,r.u_maxzoom),u_unpack:new t.Uniform4f(e,r.u_unpack)}},line:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels)}},lineGradient:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_image:new t.Uniform1i(e,r.u_image)}},linePattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_texsize:new t.Uniform2f(e,r.u_texsize),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_image:new t.Uniform1i(e,r.u_image),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_scale:new t.Uniform3f(e,r.u_scale),u_fade:new t.Uniform1f(e,r.u_fade)}},lineSDF:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_ratio:new t.Uniform1f(e,r.u_ratio),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_units_to_pixels:new t.Uniform2f(e,r.u_units_to_pixels),u_patternscale_a:new t.Uniform2f(e,r.u_patternscale_a),u_patternscale_b:new t.Uniform2f(e,r.u_patternscale_b),u_sdfgamma:new t.Uniform1f(e,r.u_sdfgamma),u_image:new t.Uniform1i(e,r.u_image),u_tex_y_a:new t.Uniform1f(e,r.u_tex_y_a),u_tex_y_b:new t.Uniform1f(e,r.u_tex_y_b),u_mix:new t.Uniform1f(e,r.u_mix)}},raster:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_tl_parent:new t.Uniform2f(e,r.u_tl_parent),u_scale_parent:new t.Uniform1f(e,r.u_scale_parent),u_buffer_scale:new t.Uniform1f(e,r.u_buffer_scale),u_fade_t:new t.Uniform1f(e,r.u_fade_t),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image0:new t.Uniform1i(e,r.u_image0),u_image1:new t.Uniform1i(e,r.u_image1),u_brightness_low:new t.Uniform1f(e,r.u_brightness_low),u_brightness_high:new t.Uniform1f(e,r.u_brightness_high),u_saturation_factor:new t.Uniform1f(e,r.u_saturation_factor),u_contrast_factor:new t.Uniform1f(e,r.u_contrast_factor),u_spin_weights:new t.Uniform3f(e,r.u_spin_weights)}},symbolIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture)}},symbolSDF:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texture:new t.Uniform1i(e,r.u_texture),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},symbolTextAndIcon:function(e,r){return{u_is_size_zoom_constant:new t.Uniform1i(e,r.u_is_size_zoom_constant),u_is_size_feature_constant:new t.Uniform1i(e,r.u_is_size_feature_constant),u_size_t:new t.Uniform1f(e,r.u_size_t),u_size:new t.Uniform1f(e,r.u_size),u_camera_to_center_distance:new t.Uniform1f(e,r.u_camera_to_center_distance),u_pitch:new t.Uniform1f(e,r.u_pitch),u_rotate_symbol:new t.Uniform1i(e,r.u_rotate_symbol),u_aspect_ratio:new t.Uniform1f(e,r.u_aspect_ratio),u_fade_change:new t.Uniform1f(e,r.u_fade_change),u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_label_plane_matrix:new t.UniformMatrix4f(e,r.u_label_plane_matrix),u_coord_matrix:new t.UniformMatrix4f(e,r.u_coord_matrix),u_is_text:new t.Uniform1i(e,r.u_is_text),u_pitch_with_map:new t.Uniform1i(e,r.u_pitch_with_map),u_texsize:new t.Uniform2f(e,r.u_texsize),u_texsize_icon:new t.Uniform2f(e,r.u_texsize_icon),u_texture:new t.Uniform1i(e,r.u_texture),u_texture_icon:new t.Uniform1i(e,r.u_texture_icon),u_gamma_scale:new t.Uniform1f(e,r.u_gamma_scale),u_device_pixel_ratio:new t.Uniform1f(e,r.u_device_pixel_ratio),u_is_halo:new t.Uniform1i(e,r.u_is_halo)}},background:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_color:new t.UniformColor(e,r.u_color)}},backgroundPattern:function(e,r){return{u_matrix:new t.UniformMatrix4f(e,r.u_matrix),u_opacity:new t.Uniform1f(e,r.u_opacity),u_image:new t.Uniform1i(e,r.u_image),u_pattern_tl_a:new t.Uniform2f(e,r.u_pattern_tl_a),u_pattern_br_a:new t.Uniform2f(e,r.u_pattern_br_a),u_pattern_tl_b:new t.Uniform2f(e,r.u_pattern_tl_b),u_pattern_br_b:new t.Uniform2f(e,r.u_pattern_br_b),u_texsize:new t.Uniform2f(e,r.u_texsize),u_mix:new t.Uniform1f(e,r.u_mix),u_pattern_size_a:new t.Uniform2f(e,r.u_pattern_size_a),u_pattern_size_b:new t.Uniform2f(e,r.u_pattern_size_b),u_scale_a:new t.Uniform1f(e,r.u_scale_a),u_scale_b:new t.Uniform1f(e,r.u_scale_b),u_pixel_coord_upper:new t.Uniform2f(e,r.u_pixel_coord_upper),u_pixel_coord_lower:new t.Uniform2f(e,r.u_pixel_coord_lower),u_tile_units_to_pixels:new t.Uniform1f(e,r.u_tile_units_to_pixels)}}};function Qr(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,Ir(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],D=E.circleArray[C+3];k.emplace(A++,P,O,I,D,0),k.emplace(A++,P,O,I,D,1),k.emplace(A++,P,O,I,D,2),k.emplace(A++,P,O,I,D,3)}(!Zr||Zr.length<2*h)&&(Zr=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 z=l.createIndexBuffer(Zr,!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,z,t.SegmentVector.simpleSegment(0,2*N.circleOffset,N.circleArray.length,N.circleArray.length/2),null,e.transform.zoom,null,null,null)}R.destroy(),z.destroy()}}var tn=t.identity(new Float32Array(16));function en(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 rn(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=en(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 D=0;D<O.numGlyphs;D++)t.addDynamicAttributes(d,I.shiftedAnchor,I.angle);else he(O.numGlyphs,d)}}e.icon.dynamicLayoutVertexBuffer.updateData(d)}e.text.dynamicLayoutVertexBuffer.updateData(p)}function nn(t,e,r){return r.iconsInText&&e?\"symbolTextAndIcon\":t?\"symbolSDF\":\"symbolIcon\"}function an(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),_=e.depthModeForSublayer(0,Mt.ReadOnly),w=n.layout.get(\"text-variable-anchor\"),T=[],k=0,A=i;k<A.length;k+=1){var M=A[k],S=r.getTile(M),E=S.getBucket(n);if(E){var L=a?E.text:E.icon;if(L&&L.segments.get().length){var C=L.programConfigurations.get(n.id),P=a||E.sdfIcons,O=a?E.textSizeData:E.iconSizeData,I=y||0!==v.pitch,D=e.useProgram(nn(P,a,E),C),z=t.evaluateSizeForZoom(O,v.zoom),R=void 0,F=[0,0],B=void 0,N=void 0,j=null,U=void 0;if(a){if(B=S.glyphAtlasTexture,N=d.LINEAR,R=S.glyphAtlasTexture.size,E.iconsInText){F=S.imageAtlasTexture.size,j=S.imageAtlasTexture;var V=\"composite\"===O.kind||\"camera\"===O.kind;U=I||e.options.rotating||e.options.zooming||V?d.LINEAR:d.NEAREST}}else{var H=1!==n.layout.get(\"icon-size\").constantOr(0)||E.iconsNeedLinear;B=S.imageAtlasTexture,N=P||e.options.rotating||e.options.zooming||H||I?d.LINEAR:d.NEAREST,R=S.imageAtlasTexture.size}var q=ge(S,1,e.transform.zoom),G=te(M.posMatrix,y,g,e.transform,q),Z=ee(M.posMatrix,y,g,e.transform,q),Y=w&&E.hasTextData(),W=\"none\"!==n.layout.get(\"icon-text-fit\")&&Y&&E.hasIconData();m&&ae(E,M.posMatrix,e,a,G,Z,y,c);var X=e.translatePosMatrix(M.posMatrix,S,o,s),J=m||a&&w||W?tn:G,K=e.translatePosMatrix(Z,S,o,s,!0),$=P&&0!==n.paint.get(a?\"text-halo-width\":\"icon-halo-width\").constantOr(1),Q={program:D,buffers:L,uniformValues:P?E.iconsInText?Xr(O.kind,z,x,y,e,X,J,K,R,F):Wr(O.kind,z,x,y,e,X,J,K,a,R,!0):Yr(O.kind,z,x,y,e,X,J,K,a,R),atlasTexture:B,atlasTextureIcon:j,atlasInterpolation:N,atlasInterpolationIcon:U,isSDF:P,hasHalo:$};if(b)for(var tt=0,et=L.segments.get();tt<et.length;tt+=1){var rt=et[tt];T.push({segments:new t.SegmentVector([rt]),sortKey:rt.sortKey,state:Q})}else T.push({segments:L.segments,sortKey:0,state:Q})}}}b&&T.sort((function(t,e){return t.sortKey-e.sortKey}));for(var nt=0,it=T;nt<it.length;nt+=1){var at=it[nt],ot=at.state;if(p.activeTexture.set(d.TEXTURE0),ot.atlasTexture.bind(ot.atlasInterpolation,d.CLAMP_TO_EDGE),ot.atlasTextureIcon&&(p.activeTexture.set(d.TEXTURE1),ot.atlasTextureIcon&&ot.atlasTextureIcon.bind(ot.atlasInterpolationIcon,d.CLAMP_TO_EDGE)),ot.isSDF){var st=ot.uniformValues;ot.hasHalo&&(st.u_is_halo=1,on(ot.buffers,at.segments,n,e,ot.program,_,f,h,st)),st.u_is_halo=0}on(ot.buffers,at.segments,n,e,ot.program,_,f,h,ot.uniformValues)}}function on(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 sn(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?Pr(S,t,v,x,E):Cr(S,E)}else c=b.indexBuffer,f=b.segments,u=d?Lr(S,t,v,x):Er(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 ln(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?Sr(k,t,A,h,v,f,g):Mr(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 un(e,r,n,i,a,o){var s=e.context,l=s.gl,u=r.fbo;if(u){var c=e.useProgram(\"hillshade\");s.activeTexture.set(l.TEXTURE0),l.bindTexture(l.TEXTURE_2D,u.colorAttachment.get());var f=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}}(e,r,n);c.draw(s,l.TRIANGLES,i,a,o,Ct.disabled,f,n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments)}}function cn(e,r,n,i,a,o,s){var l=e.context,u=l.gl,c=r.dem;if(c&&c.data){var f=c.dim,h=c.stride,p=c.getPixels();if(l.activeTexture.set(u.TEXTURE1),l.pixelStoreUnpackPremultiplyAlpha.set(!1),r.demTexture=r.demTexture||e.getTileTexture(h),r.demTexture){var d=r.demTexture;d.update(p,{premultiply:!1}),d.bind(u.NEAREST,u.CLAMP_TO_EDGE)}else r.demTexture=new t.Texture(l,p,u.RGBA,{premultiply:!1}),r.demTexture.bind(u.NEAREST,u.CLAMP_TO_EDGE);l.activeTexture.set(u.TEXTURE0);var v=r.fbo;if(!v){var g=new t.Texture(l,{width:f,height:f,data:null},u.RGBA);g.bind(u.LINEAR,u.CLAMP_TO_EDGE),(v=r.fbo=l.createFramebuffer(f,f,!0)).colorAttachment.set(g.texture)}l.bindFramebuffer.set(v.framebuffer),l.viewport.set([0,0,f,f]),e.useProgram(\"hillshadePrepare\").draw(l,u.TRIANGLES,a,o,s,Ct.disabled,function(e,r,n){var i=r.stride,a=t.create();return t.ortho(a,0,t.EXTENT,-t.EXTENT,0,0,1),t.translate(a,a,[0,-t.EXTENT,0]),{u_matrix:a,u_image:1,u_dimension:[i,i],u_zoom:e.overscaledZ,u_maxzoom:n,u_unpack:r.getUnpackVector()}}(r.tileID,c,i),n.id,e.rasterBoundsBuffer,e.quadTriangleIndexBuffer,e.rasterBoundsSegments),r.needsHillshadePrepare=!1}}function fn(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 hn=new t.Color(1,0,0,1),pn=new t.Color(0,1,0,1),dn=new t.Color(0,0,1,1),vn=new t.Color(1,0,1,1),gn=new t.Color(0,1,1,1);function yn(t){var e=t.transform.padding;mn(t,t.transform.height-(e.top||0),3,hn),mn(t,e.bottom||0,3,pn),xn(t,e.left||0,3,dn),xn(t,t.transform.width-(e.right||0),3,vn);var r=t.transform.centerPoint;!function(t,e,r,n){var i=20,a=2;bn(t,e-a/2,r-i/2,a,i,n),bn(t,e-i/2,r-a/2,i,a,n)}(t,r.x,t.transform.height-r.y,gn)}function mn(t,e,r,n){bn(t,0,e+r/2,t.transform.width,r,n)}function xn(t,e,r,n){bn(t,e-r/2,0,r,t.transform.height,n)}function bn(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 _n(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,zr(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,zr(o,t.Color.transparent,g),f,e.debugBuffer,e.quadTriangleIndexBuffer,e.debugSegments)}var wn={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);rn(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)&&an(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)&&an(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&&(Qr(e,r,n,i,n.paint.get(\"text-translate\"),n.paint.get(\"text-translate-anchor\"),!0),Qr(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:Or(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,Fr(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,function(e,r,n,i){var a=t.create();t.ortho(a,0,e.width,e.height,0,0,1);var o=e.context.gl;return{u_matrix:a,u_world:[o.drawingBufferWidth,o.drawingBufferHeight],u_image:n,u_color_ramp:i,u_opacity:r.paint.get(\"heatmap-opacity\")}}(e,r,0,1),r.id,e.viewportBuffer,e.quadTriangleIndexBuffer,e.viewportSegments,r.paint,e.transform.zoom)}}(e,n))},line:function(e,r,n,i){if(\"translucent\"===e.renderPass){var a=n.paint.get(\"line-opacity\"),o=n.paint.get(\"line-width\");if(0!==a.constantOr(1)&&0!==o.constantOr(1)){var s=e.depthModeForSublayer(0,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;if(h){v.activeTexture.set(g.TEXTURE0);var m=n.gradientTexture;if(!n.gradient)return;m||(m=n.gradientTexture=new t.Texture(v,n.gradient,g.RGBA)),m.bind(g.LINEAR,g.CLAMP_TO_EDGE)}for(var x=0,b=i;x<b.length;x+=1){var _=b[x],w=r.getTile(_);if(!f||w.patternsLoaded()){var T=w.getBucket(n);if(T){var k=T.programConfigurations.get(n.id),A=e.context.program.get(),M=e.useProgram(d,k),S=y||M.program!==A,E=c.constantOr(null);if(E&&w.imageAtlas){var L=w.imageAtlas,C=L.patternPositions[E.to.toString()],P=L.patternPositions[E.from.toString()];C&&P&&k.setConstantPatternPositions(C,P)}var O=f?jr(e,w,n,p):u?Ur(e,w,n,u,p):h?Nr(e,w,n):Br(e,w,n);f?(v.activeTexture.set(g.TEXTURE0),w.imageAtlasTexture.bind(g.LINEAR,g.CLAMP_TO_EDGE),k.updatePaintBuffers(p)):u&&(S||e.lineAtlas.dirty)&&(v.activeTexture.set(g.TEXTURE0),e.lineAtlas.bind(v)),M.draw(v,g.TRIANGLES,s,e.stencilModeForClipping(_),l,Ct.disabled,O,n.id,T.layoutVertexBuffer,T.indexBuffer,T.segments,n.paint,e.transform.zoom,k),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);sn(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);sn(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))ln(t,e,r,n,a,Et.disabled,Lt.disabled),ln(t,e,r,n,a,t.stencilModeFor3D(),t.colorModeForRenderPass());else{var o=t.colorModeForRenderPass();ln(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=e.getSource().maxzoom,o=t.depthModeForSublayer(0,Mt.ReadOnly),s=t.colorModeForRenderPass(),l=\"translucent\"===t.renderPass?t.stencilConfigForOverlap(n):[{},n],u=l[0],c=0,f=l[1];c<f.length;c+=1){var h=f[c],p=e.getTile(h);p.needsHillshadePrepare&&\"offscreen\"===t.renderPass?cn(t,p,r,a,o,Et.disabled,s):\"translucent\"===t.renderPass&&un(t,p,r,o,u[h.overscaledZ],s)}i.viewport.set([0,0,t.width,t.height])}},raster:function(t,e,r,n){if(\"translucent\"===t.renderPass&&0!==r.paint.get(\"raster-opacity\")&&n.length)for(var i=t.context,a=i.gl,o=e.getSource(),s=t.useProgram(\"raster\"),l=t.colorModeForRenderPass(),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),_=fn(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=qr(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?Kr(b,i,t,u,{tileID:x,tileSize:l},g):Jr(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++)_n(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)}}},Tn=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={}};Tn.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()}},Tn.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,We.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,We.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,We.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)},Tn.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,Rr(n),\"$clipping\",this.viewportBuffer,this.quadTriangleIndexBuffer,this.viewportSegments)},Tn.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,Rr(s.posMatrix),\"$clipping\",this.tileExtentBuffer,this.quadTriangleIndexBuffer,this.tileExtentSegments)}}},Tn.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)},Tn.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)},Tn.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]},Tn.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},Tn.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])},Tn.prototype.opaquePassEnabledForLayer=function(){return this.currentLayer<this.opaquePassCutoff},Tn.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&&wn.debug(this,l,l.getVisibleCoordinates())),this.options.showPadding&&yn(this),this.context.setDefault()},Tn.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),wn[r.type](t,e,r,n,this.style.placement.variableOffsets),this.gpuTimingEnd())},Tn.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)}},Tn.prototype.gpuTimingEnd=function(){if(this.options.gpuTiming){var t=this.context.extTimerQuery;t.endQueryEXT(t.TIME_ELAPSED_EXT)}},Tn.prototype.collectGpuTimers=function(){var t=this.gpuTimers;return this.gpuTimers={},t},Tn.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},Tn.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},Tn.prototype.saveTileTexture=function(t){var e=this._tileTextures[t.size[0]];e?e.push(t):this._tileTextures[t.size[0]]=[t]},Tn.prototype.getTileTexture=function(t){var e=this._tileTextures[t];return e&&e.length>0?e.pop():null},Tn.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},Tn.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 kr(this.context,wr[t],e,$r[t],this._showOverdrawInspector)),this.cache[r]},Tn.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()},Tn.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)},Tn.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)}},Tn.prototype.destroy=function(){this.emptyTexture.destroy(),this.debugOverlayTexture&&this.debugOverlayTexture.destroy()};var kn=function(t,e){this.points=t,this.planes=e};kn.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 kn(a,o)};var An=function(e,r){this.min=e,this.max=r,this.center=t.scale$2([],t.add([],this.min,this.max),.5)};An.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 An(n,i)},An.prototype.distanceX=function(t){return Math.max(Math.min(this.max[0],t[0]),this.min[0])-t[0]},An.prototype.distanceY=function(t){return Math.max(Math.min(this.max[1],t[1]),this.min[1])-t[1]},An.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 Mn=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};Mn.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},Mn.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)},Mn.prototype.equals=function(t){return this.top===t.top&&this.bottom===t.bottom&&this.left===t.left&&this.right===t.right},Mn.prototype.clone=function(){return new Mn(this.top,this.bottom,this.left,this.right)},Mn.prototype.toJSON=function(){return{top:this.top,bottom:this.bottom,left:this.left,right:this.right}};var Sn=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 Mn,this._posMatrixCache={},this._alignedPosMatrixCache={}},En={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}};Sn.prototype.clone=function(){var t=new Sn(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},En.minZoom.get=function(){return this._minZoom},En.minZoom.set=function(t){this._minZoom!==t&&(this._minZoom=t,this.zoom=Math.max(this.zoom,t))},En.maxZoom.get=function(){return this._maxZoom},En.maxZoom.set=function(t){this._maxZoom!==t&&(this._maxZoom=t,this.zoom=Math.min(this.zoom,t))},En.minPitch.get=function(){return this._minPitch},En.minPitch.set=function(t){this._minPitch!==t&&(this._minPitch=t,this.pitch=Math.max(this.pitch,t))},En.maxPitch.get=function(){return this._maxPitch},En.maxPitch.set=function(t){this._maxPitch!==t&&(this._maxPitch=t,this.pitch=Math.min(this.pitch,t))},En.renderWorldCopies.get=function(){return this._renderWorldCopies},En.renderWorldCopies.set=function(t){void 0===t?t=!0:null===t&&(t=!1),this._renderWorldCopies=t},En.worldSize.get=function(){return this.tileSize*this.scale},En.centerOffset.get=function(){return this.centerPoint._sub(this.size._div(2))},En.size.get=function(){return new t.Point(this.width,this.height)},En.bearing.get=function(){return-this.angle/Math.PI*180},En.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))},En.pitch.get=function(){return this._pitch/Math.PI*180},En.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())},En.fov.get=function(){return this._fov/Math.PI*180},En.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())},En.zoom.get=function(){return this._zoom},En.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())},En.center.get=function(){return this._center},En.center.set=function(t){t.lat===this._center.lat&&t.lng===this._center.lng||(this._unmodified=!1,this._center=t,this._constrain(),this._calcMatrices())},En.padding.get=function(){return this._edgeInsets.toJSON()},En.padding.set=function(t){this._edgeInsets.equals(t)||(this._unmodified=!1,this._edgeInsets.interpolate(this._edgeInsets,t,1),this._calcMatrices())},En.centerPoint.get=function(){return this._edgeInsets.getCenter(this.width,this.height)},Sn.prototype.isPaddingEqual=function(t){return this._edgeInsets.equals(t)},Sn.prototype.interpolatePadding=function(t,e,r){this._unmodified=!1,this._edgeInsets.interpolate(t,e,r),this._constrain(),this._calcMatrices()},Sn.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)},Sn.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},Sn.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=kn.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 An([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}))},Sn.prototype.resize=function(t,e){this.width=t,this.height=e,this.pixelsToGLUnits=[2/t,-2/e],this._constrain(),this._calcMatrices()},En.unmodified.get=function(){return this._unmodified},Sn.prototype.zoomScale=function(t){return Math.pow(2,t)},Sn.prototype.scaleZoom=function(t){return Math.log(t)/Math.LN2},Sn.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)},Sn.prototype.unproject=function(e){return new t.MercatorCoordinate(e.x/this.worldSize,e.y/this.worldSize).toLngLat()},En.point.get=function(){return this.project(this.center)},Sn.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())},Sn.prototype.locationPoint=function(t){return this.coordinatePoint(this.locationCoordinate(t))},Sn.prototype.pointLocation=function(t){return this.coordinateLocation(this.pointCoordinate(t))},Sn.prototype.locationCoordinate=function(e){return t.MercatorCoordinate.fromLngLat(e)},Sn.prototype.coordinateLocation=function(t){return t.toLngLat()},Sn.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)},Sn.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])},Sn.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)))},Sn.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},Sn.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])},Sn.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]},Sn.prototype.customLayerMatrix=function(){return this.mercatorMatrix.slice()},Sn.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}},Sn.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={}}},Sn.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},Sn.prototype.getCameraPoint=function(){var e=this._pitch,r=Math.tan(e)*(this.cameraToCenterDistance||1);return this.centerPoint.add(new t.Point(0,r))},Sn.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(Sn.prototype,En);var Ln=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})};Ln.prototype.addTo=function(e){return this._map=e,t.window.addEventListener(\"hashchange\",this._onHashChange,!1),this._map.on(\"moveend\",this._updateHash),this},Ln.prototype.remove=function(){return t.window.removeEventListener(\"hashchange\",this._onHashChange,!1),this._map.off(\"moveend\",this._updateHash),clearTimeout(this._updateHash()),delete this._map,this},Ln.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},Ln.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(\"/\")},Ln.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},Ln.prototype._updateHashUnthrottled=function(){var e=this.getHashString();try{t.window.history.replaceState(t.window.history.state,\"\",e)}catch(t){}};var Cn={linearity:.3,easing:t.bezier(0,0,.3,1)},Pn=t.extend({deceleration:2500,maxSpeed:1400},Cn),On=t.extend({deceleration:20,maxSpeed:1400},Cn),In=t.extend({deceleration:1e3,maxSpeed:360},Cn),Dn=t.extend({deceleration:1e3,maxSpeed:90},Cn),zn=function(t){this._map=t,this.clear()};function Rn(t,e){(!t.duration||t.duration<e.duration)&&(t.duration=e.duration,t.easing=e.easing)}function Fn(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)}}zn.prototype.clear=function(){this._inertiaBuffer=[]},zn.prototype.record=function(e){this._drainInertiaBuffer(),this._inertiaBuffer.push({time:t.browser.now(),settings:e})},zn.prototype._drainInertiaBuffer=function(){for(var e=this._inertiaBuffer,r=t.browser.now();e.length>0&&r-e[0].time>160;)e.shift()},zn.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=Fn(r.pan.mag(),o,t.extend({},Pn,e||{}));s.offset=r.pan.mult(l.amount/r.pan.mag()),s.center=this._map.transform.center,Rn(s,l)}if(r.zoom){var u=Fn(r.zoom,o,On);s.zoom=this._map.transform.zoom+u.amount,Rn(s,u)}if(r.bearing){var c=Fn(r.bearing,o,In);s.bearing=this._map.transform.bearing+t.clamp(c.amount,-179,179),Rn(s,c)}if(r.pitch){var f=Fn(r.pitch,o,Dn);s.pitch=this._map.transform.pitch+f.amount,Rn(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 Bn=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),Nn=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),jn=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),Un=function(t,e){this._map=t,this._clickTolerance=e.clickTolerance};Un.prototype.reset=function(){delete this._mousedownPos},Un.prototype.wheel=function(t){return this._firePreventable(new jn(t.type,this._map,t))},Un.prototype.mousedown=function(t,e){return this._mousedownPos=e,this._firePreventable(new Bn(t.type,this._map,t))},Un.prototype.mouseup=function(t){this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.click=function(t,e){this._mousedownPos&&this._mousedownPos.dist(e)>=this._clickTolerance||this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.dblclick=function(t){return this._firePreventable(new Bn(t.type,this._map,t))},Un.prototype.mouseover=function(t){this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.mouseout=function(t){this._map.fire(new Bn(t.type,this._map,t))},Un.prototype.touchstart=function(t){return this._firePreventable(new Nn(t.type,this._map,t))},Un.prototype.touchmove=function(t){this._map.fire(new Nn(t.type,this._map,t))},Un.prototype.touchend=function(t){this._map.fire(new Nn(t.type,this._map,t))},Un.prototype.touchcancel=function(t){this._map.fire(new Nn(t.type,this._map,t))},Un.prototype._firePreventable=function(t){if(this._map.fire(t),t.defaultPrevented)return{}},Un.prototype.isEnabled=function(){return!0},Un.prototype.isActive=function(){return!1},Un.prototype.enable=function(){},Un.prototype.disable=function(){};var Vn=function(t){this._map=t};Vn.prototype.reset=function(){this._delayContextMenu=!1,delete this._contextMenuEvent},Vn.prototype.mousemove=function(t){this._map.fire(new Bn(t.type,this._map,t))},Vn.prototype.mousedown=function(){this._delayContextMenu=!0},Vn.prototype.mouseup=function(){this._delayContextMenu=!1,this._contextMenuEvent&&(this._map.fire(new Bn(\"contextmenu\",this._map,this._contextMenuEvent)),delete this._contextMenuEvent)},Vn.prototype.contextmenu=function(t){this._delayContextMenu?this._contextMenuEvent=t:this._map.fire(new Bn(t.type,this._map,t)),this._map.listens(\"contextmenu\")&&t.preventDefault()},Vn.prototype.isEnabled=function(){return!0},Vn.prototype.isActive=function(){return!1},Vn.prototype.enable=function(){},Vn.prototype.disable=function(){};var Hn=function(t,e){this._map=t,this._el=t.getCanvasContainer(),this._container=t.getContainer(),this._clickTolerance=e.clickTolerance||1};function qn(t,e){for(var r={},n=0;n<t.length;n++)r[t[n].identifier]=e[n];return r}Hn.prototype.isEnabled=function(){return!!this._enabled},Hn.prototype.isActive=function(){return!!this._active},Hn.prototype.enable=function(){this.isEnabled()||(this._enabled=!0)},Hn.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},Hn.prototype.mousedown=function(t,e){this.isEnabled()&&t.shiftKey&&0===t.button&&(r.disableDrag(),this._startPos=this._lastPos=e,this._active=!0)},Hn.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\"}}},Hn.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)}},Hn.prototype.keydown=function(t){this._active&&27===t.keyCode&&(this.reset(),this._fireEvent(\"boxzoomcancel\",t))},Hn.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},Hn.prototype._fireEvent=function(e,r){return this._map.fire(new t.Event(e,{originalEvent:r}))};var Gn=function(t){this.reset(),this.numTouches=t.numTouches};Gn.prototype.reset=function(){delete this.centroid,delete this.startTime,delete this.touches,this.aborted=!1},Gn.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=qn(n,r)))},Gn.prototype.touchmove=function(t,e,r){if(!this.aborted&&this.centroid){var n=qn(r,e);for(var i in this.touches){var a=this.touches[i],o=n[i];(!o||o.dist(a)>30)&&(this.aborted=!0)}}},Gn.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 Zn=function(t){this.singleTap=new Gn(t),this.numTaps=t.numTaps,this.reset()};Zn.prototype.reset=function(){this.lastTime=1/0,delete this.lastTap,this.count=0,this.singleTap.reset()},Zn.prototype.touchstart=function(t,e,r){this.singleTap.touchstart(t,e,r)},Zn.prototype.touchmove=function(t,e,r){this.singleTap.touchmove(t,e,r)},Zn.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 Yn=function(){this._zoomIn=new Zn({numTouches:1,numTaps:2}),this._zoomOut=new Zn({numTouches:2,numTaps:1}),this.reset()};Yn.prototype.reset=function(){this._active=!1,this._zoomIn.reset(),this._zoomOut.reset()},Yn.prototype.touchstart=function(t,e,r){this._zoomIn.touchstart(t,e,r),this._zoomOut.touchstart(t,e,r)},Yn.prototype.touchmove=function(t,e,r){this._zoomIn.touchmove(t,e,r),this._zoomOut.touchmove(t,e,r)},Yn.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},Yn.prototype.touchcancel=function(){this.reset()},Yn.prototype.enable=function(){this._enabled=!0},Yn.prototype.disable=function(){this._enabled=!1,this.reset()},Yn.prototype.isEnabled=function(){return this._enabled},Yn.prototype.isActive=function(){return this._active};var Wn=function(t){this.reset(),this._clickTolerance=t.clickTolerance||1};Wn.prototype.reset=function(){this._active=!1,this._moved=!1,delete this._lastPoint,delete this._eventButton},Wn.prototype._correctButton=function(t,e){return!1},Wn.prototype._move=function(t,e){return{}},Wn.prototype.mousedown=function(t,e){if(!this._lastPoint){var n=r.mouseButton(t);this._correctButton(t,n)&&(this._lastPoint=e,this._eventButton=n)}},Wn.prototype.mousemoveWindow=function(t,e){var r=this._lastPoint;if(r&&(t.preventDefault(),this._moved||!(e.dist(r)<this._clickTolerance)))return this._moved=!0,this._lastPoint=e,this._move(r,e)},Wn.prototype.mouseupWindow=function(t){r.mouseButton(t)===this._eventButton&&(this._moved&&r.suppressClick(),this.reset())},Wn.prototype.enable=function(){this._enabled=!0},Wn.prototype.disable=function(){this._enabled=!1,this.reset()},Wn.prototype.isEnabled=function(){return this._enabled},Wn.prototype.isActive=function(){return this._active};var Xn=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.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}(Wn),Jn=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}(Wn),Kn=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}(Wn),$n=function(t){this._minTouches=1,this._clickTolerance=t.clickTolerance||1,this.reset()};$n.prototype.reset=function(){this._active=!1,this._touches={},this._sum=new t.Point(0,0)},$n.prototype.touchstart=function(t,e,r){return this._calculateTransform(t,e,r)},$n.prototype.touchmove=function(t,e,r){if(this._active)return t.preventDefault(),this._calculateTransform(t,e,r)},$n.prototype.touchend=function(t,e,r){this._calculateTransform(t,e,r),this._active&&r.length<this._minTouches&&this.reset()},$n.prototype.touchcancel=function(){this.reset()},$n.prototype._calculateTransform=function(e,r,n){n.length>0&&(this._active=!0);var i=qn(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}}},$n.prototype.enable=function(){this._enabled=!0},$n.prototype.disable=function(){this._enabled=!1,this.reset()},$n.prototype.isEnabled=function(){return this._enabled},$n.prototype.isActive=function(){return this._active};var Qn=function(){this.reset()};function ti(t,e,r){for(var n=0;n<t.length;n++)if(t[n].identifier===r)return e[n]}Qn.prototype.reset=function(){this._active=!1,delete this._firstTwoTouches},Qn.prototype._start=function(t){},Qn.prototype._move=function(t,e,r){return{}},Qn.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]]))},Qn.prototype.touchmove=function(t,e,r){if(this._firstTwoTouches){t.preventDefault();var n=this._firstTwoTouches,i=n[0],a=n[1],o=ti(r,e,i),s=ti(r,e,a);if(o&&s){var l=this._aroundCenter?null:o.add(s).div(2);return this._move([o,s],l,t)}}},Qn.prototype.touchend=function(t,e,n){if(this._firstTwoTouches){var i=this._firstTwoTouches,a=i[0],o=i[1],s=ti(n,e,a),l=ti(n,e,o);s&&l||(this._active&&r.suppressClick(),this.reset())}},Qn.prototype.touchcancel=function(){this.reset()},Qn.prototype.enable=function(t){this._enabled=!0,this._aroundCenter=!!t&&\"center\"===t.around},Qn.prototype.disable=function(){this._enabled=!1,this.reset()},Qn.prototype.isEnabled=function(){return this._enabled},Qn.prototype.isActive=function(){return this._active};function ei(t,e){return Math.log(t/e)/Math.LN2}var ri=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),delete this._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(ei(this._distance,this._startDistance))<.1))return this._active=!0,{zoomDelta:ei(this._distance,r),pinchAround:e}},e}(Qn);function ni(t,e){return 180*t.angleWith(e)/Math.PI}var ii=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e.prototype.reset=function(){t.prototype.reset.call(this),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:ni(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=ni(t,this._startVector);return Math.abs(r)<e},e}(Qn);function ai(t){return Math.abs(t.y)>Math.abs(t.x)}var oi=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,ai(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 ai(t)&&ai(e)&&a}},e}(Qn),si={panStep:100,bearingStep:15,pitchStep:10},li=function(){var t=si;this._panStep=t.panStep,this._bearingStep=t.bearingStep,this._pitchStep=t.pitchStep};function ui(t){return t*(2-t)}li.prototype.reset=function(){this._active=!1},li.prototype.keydown=function(t){var e=this;if(!(t.altKey||t.ctrlKey||t.metaKey)){var r=0,n=0,i=0,a=0,o=0;switch(t.keyCode){case 61:case 107:case 171:case 187:r=1;break;case 189:case 109:case 173:r=-1;break;case 37:t.shiftKey?n=-1:(t.preventDefault(),a=-1);break;case 39:t.shiftKey?n=1:(t.preventDefault(),a=1);break;case 38:t.shiftKey?i=1:(t.preventDefault(),o=-1);break;case 40:t.shiftKey?i=-1:(t.preventDefault(),o=1);break;default:return}return{cameraAnimation:function(s){var l=s.getZoom();s.easeTo({duration:300,easeId:\"keyboardHandler\",easing:ui,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})}}}},li.prototype.enable=function(){this._enabled=!0},li.prototype.disable=function(){this._enabled=!1,this.reset()},li.prototype.isEnabled=function(){return this._enabled},li.prototype.isActive=function(){return this._active};var ci=4.000244140625,fi=function(e,r){this._map=e,this._el=e.getCanvasContainer(),this._handler=r,this._delta=0,this._defaultZoomRate=.01,this._wheelZoomRate=.0022222222222222222,t.bindAll([\"_onWheel\",\"_onTimeout\",\"_onScrollFrame\",\"_onScrollFinished\"],this)};fi.prototype.setZoomRate=function(t){this._defaultZoomRate=t},fi.prototype.setWheelZoomRate=function(t){this._wheelZoomRate=t},fi.prototype.isEnabled=function(){return!!this._enabled},fi.prototype.isActive=function(){return!!this._active||void 0!==this._finishTimeout},fi.prototype.isZooming=function(){return!!this._zooming},fi.prototype.enable=function(t){this.isEnabled()||(this._enabled=!0,this._aroundCenter=t&&\"center\"===t.around)},fi.prototype.disable=function(){this.isEnabled()&&(this._enabled=!1)},fi.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%ci==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()}},fi.prototype._onTimeout=function(t){this._type=\"wheel\",this._delta-=this._lastValue,this._active||this._start(t)},fi.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())}},fi.prototype.renderFrame=function(){return this._onScrollFrame()},fi.prototype._onScrollFrame=function(){var e=this;if(this._frameId&&(this._frameId=null,this.isActive())){var r=this._map.transform;if(0!==this._delta){var n=\"wheel\"===this._type&&Math.abs(this._delta)>ci?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}}},fi.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},fi.prototype.reset=function(){this._active=!1};var hi=function(t,e){this._clickZoom=t,this._tapZoom=e};hi.prototype.enable=function(){this._clickZoom.enable(),this._tapZoom.enable()},hi.prototype.disable=function(){this._clickZoom.disable(),this._tapZoom.disable()},hi.prototype.isEnabled=function(){return this._clickZoom.isEnabled()&&this._tapZoom.isEnabled()},hi.prototype.isActive=function(){return this._clickZoom.isActive()||this._tapZoom.isActive()};var pi=function(){this.reset()};pi.prototype.reset=function(){this._active=!1},pi.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})}}},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};var di=function(){this._tap=new Zn({numTouches:1,numTaps:1}),this.reset()};di.prototype.reset=function(){this._active=!1,delete this._swipePoint,delete this._swipeTouch,delete this._tapTime,this._tap.reset()},di.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))},di.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)},di.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)},di.prototype.touchcancel=function(){this.reset()},di.prototype.enable=function(){this._enabled=!0},di.prototype.disable=function(){this._enabled=!1,this.reset()},di.prototype.isEnabled=function(){return this._enabled},di.prototype.isActive=function(){return this._active};var vi=function(t,e,r){this._el=t,this._mousePan=e,this._touchPan=r};vi.prototype.enable=function(t){this._inertiaOptions=t||{},this._mousePan.enable(),this._touchPan.enable(),this._el.classList.add(\"mapboxgl-touch-drag-pan\")},vi.prototype.disable=function(){this._mousePan.disable(),this._touchPan.disable(),this._el.classList.remove(\"mapboxgl-touch-drag-pan\")},vi.prototype.isEnabled=function(){return this._mousePan.isEnabled()&&this._touchPan.isEnabled()},vi.prototype.isActive=function(){return this._mousePan.isActive()||this._touchPan.isActive()};var gi=function(t,e,r){this._pitchWithRotate=t.pitchWithRotate,this._mouseRotate=e,this._mousePitch=r};gi.prototype.enable=function(){this._mouseRotate.enable(),this._pitchWithRotate&&this._mousePitch.enable()},gi.prototype.disable=function(){this._mouseRotate.disable(),this._mousePitch.disable()},gi.prototype.isEnabled=function(){return this._mouseRotate.isEnabled()&&(!this._pitchWithRotate||this._mousePitch.isEnabled())},gi.prototype.isActive=function(){return this._mouseRotate.isActive()||this._mousePitch.isActive()};var yi=function(t,e,r,n){this._el=t,this._touchZoom=e,this._touchRotate=r,this._tapDragZoom=n,this._rotationDisabled=!1,this._enabled=!0};yi.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\")},yi.prototype.disable=function(){this._touchZoom.disable(),this._touchRotate.disable(),this._tapDragZoom.disable(),this._el.classList.remove(\"mapboxgl-touch-zoom-rotate\")},yi.prototype.isEnabled=function(){return this._touchZoom.isEnabled()&&(this._rotationDisabled||this._touchRotate.isEnabled())&&this._tapDragZoom.isEnabled()},yi.prototype.isActive=function(){return this._touchZoom.isActive()||this._touchRotate.isActive()||this._tapDragZoom.isActive()},yi.prototype.disableRotation=function(){this._rotationDisabled=!0,this._touchRotate.disable()},yi.prototype.enableRotation=function(){this._rotationDisabled=!1,this._touchZoom.isEnabled()&&this._touchRotate.enable()};var mi=function(t){return t.zoom||t.drag||t.pitch||t.rotate},xi=function(t){function e(){t.apply(this,arguments)}return t&&(e.__proto__=t),e.prototype=Object.create(t&&t.prototype),e.prototype.constructor=e,e}(t.Event);function bi(t){return t.panDelta&&t.panDelta.mag()||t.zoomDelta||t.bearingDelta||t.pitchDelta}var _i=function(e,n){this._map=e,this._el=this._map.getCanvasContainer(),this._handlers=[],this._handlersById={},this._changes=[],this._inertia=new zn(e),this._bearingSnap=n.bearingSnap,this._previousActiveHandlers={},this._eventsInProgress={},this._addDefaultHandlers(n),t.bindAll([\"handleEvent\",\"handleWindowEvent\"],this);var i=this._el;this._listeners=[[i,\"touchstart\",{passive:!1}],[i,\"touchmove\",{passive:!1}],[i,\"touchend\",void 0],[i,\"touchcancel\",void 0],[i,\"mousedown\",void 0],[i,\"mousemove\",void 0],[i,\"mouseup\",void 0],[t.window.document,\"mousemove\",{capture:!0}],[t.window.document,\"mouseup\",void 0],[i,\"mouseover\",void 0],[i,\"mouseout\",void 0],[i,\"dblclick\",void 0],[i,\"click\",void 0],[i,\"keydown\",{capture:!1}],[i,\"keyup\",void 0],[i,\"wheel\",{passive:!1}],[i,\"contextmenu\",void 0],[t.window,\"blur\",void 0]];for(var a=0,o=this._listeners;a<o.length;a+=1){var s=o[a],l=s[0],u=s[1],c=s[2];r.addEventListener(l,u,l===t.window.document?this.handleWindowEvent:this.handleEvent,c)}};_i.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)}},_i.prototype._addDefaultHandlers=function(t){var e=this._map,r=e.getCanvasContainer();this._add(\"mapEvent\",new Un(e,t));var n=e.boxZoom=new Hn(e,t);this._add(\"boxZoom\",n);var i=new Yn,a=new pi;e.doubleClickZoom=new hi(a,i),this._add(\"tapZoom\",i),this._add(\"clickZoom\",a);var o=new di;this._add(\"tapDragZoom\",o);var s=e.touchPitch=new oi;this._add(\"touchPitch\",s);var l=new Jn(t),u=new Kn(t);e.dragRotate=new gi(t,l,u),this._add(\"mouseRotate\",l,[\"mousePitch\"]),this._add(\"mousePitch\",u,[\"mouseRotate\"]);var c=new Xn(t),f=new $n(t);e.dragPan=new vi(r,c,f),this._add(\"mousePan\",c),this._add(\"touchPan\",f,[\"touchZoom\",\"touchRotate\"]);var h=new ii,p=new ri;e.touchZoomRotate=new yi(r,p,h,o),this._add(\"touchRotate\",h,[\"touchPan\",\"touchZoom\"]),this._add(\"touchZoom\",p,[\"touchPan\",\"touchRotate\"]);var d=e.scrollZoom=new fi(e,this);this._add(\"scrollZoom\",d,[\"mousePan\"]);var v=e.keyboard=new li;this._add(\"keyboard\",v),this._add(\"blockableMapEvent\",new Vn(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])}},_i.prototype._add=function(t,e,r){this._handlers.push({handlerName:t,handler:e,allowed:r}),this._handlersById[t]=e},_i.prototype.stop=function(){if(!this._updatingCamera){for(var t=0,e=this._handlers;t<e.length;t+=1)e[t].handler.reset();this._inertia.clear(),this._fireEvents({},{}),this._changes=[]}},_i.prototype.isActive=function(){for(var t=0,e=this._handlers;t<e.length;t+=1)if(e[t].handler.isActive())return!0;return!1},_i.prototype.isZooming=function(){return!!this._eventsInProgress.zoom||this._map.scrollZoom.isZooming()},_i.prototype.isRotating=function(){return!!this._eventsInProgress.rotate},_i.prototype.isMoving=function(){return Boolean(mi(this._eventsInProgress))||this.isZooming()},_i.prototype._blockedByActive=function(t,e,r){for(var n in t)if(n!==r&&(!e||e.indexOf(n)<0))return!0;return!1},_i.prototype.handleWindowEvent=function(t){this.handleEvent(t,t.type+\"Window\")},_i.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},_i.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||bi(i))&&(this._changes.push([i,a,g]),this._triggerRenderFrame()),(Object.keys(o).length||bi(i))&&this._map._stop(!0),this._updatingCamera=!1;var m=i.cameraAnimation;m&&(this._inertia.clear(),this._fireEvents({},{}),this._changes=[],m(this._map))}else this.stop()},_i.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)}},_i.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=[]},_i.prototype._updateMapTransform=function(t,e,r){var n=this._map,i=n.transform;if(!bi(t))return this._fireEvents(e,r);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)},_i.prototype._fireEvents=function(e,r){var n=this,i=mi(this._eventsInProgress),a=mi(e),o={};for(var s in e){var l=e[s].originalEvent;this._eventsInProgress[s]||(o[s+\"start\"]=l),this._eventsInProgress[s]=e[s]}for(var u in!i&&a&&this._fireEvent(\"movestart\",a.originalEvent),o)this._fireEvent(u,o[u]);for(var c in e.rotate&&(this._bearingChanged=!0),a&&this._fireEvent(\"move\",a.originalEvent),e){var f=e[c].originalEvent;this._fireEvent(c,f)}var h,p={};for(var d in this._eventsInProgress){var v=this._eventsInProgress[d],g=v.handlerName,y=v.originalEvent;this._handlersById[g].isActive()||(delete this._eventsInProgress[d],h=r[g]||y,p[d+\"end\"]=h)}for(var m in p)this._fireEvent(m,p[m]);var x=mi(this._eventsInProgress);if((i||a)&&!x){this._updatingCamera=!0;var b=this._inertia._onMoveEnd(this._map.dragPan._inertiaOptions),_=function(t){return 0!==t&&-n._bearingSnap<t&&t<n._bearingSnap};b?(_(b.bearing||this._map.getBearing())&&(b.bearing=0),this._map.easeTo(b,{originalEvent:h})):(this._map.fire(new t.Event(\"moveend\",{originalEvent:h})),_(this._map.getBearing())&&this._map.resetNorth()),this._bearingChanged=!1,this._updatingCamera=!1}},_i.prototype._fireEvent=function(e,r){this._map.fire(new t.Event(e,r?{originalEvent:r}:{}))},_i.prototype._triggerRenderFrame=function(){var t=this;void 0===this._frameId&&(this._frameId=this._map._requestRenderFrame((function(e){delete t._frameId,t.handleEvent(new xi(\"renderFrame\",{timeStamp:e})),t._applyChanges()})))};var wi=function(e){function r(r,n){e.call(this),this._moving=!1,this._zooming=!1,this.transform=r,this._bearingSnap=n.bearingSnap,t.bindAll([\"_renderFrameCallback\"],this)}return e&&(r.__proto__=e),r.prototype=Object.create(e&&e.prototype),r.prototype.constructor=r,r.prototype.getCenter=function(){return new t.LngLat(this.transform.center.lng,this.transform.center.lat)},r.prototype.setCenter=function(t,e){return this.jumpTo({center:t},e)},r.prototype.panBy=function(e,r,n){return e=t.Point.convert(e).mult(-1),this.panTo(this.transform.center,t.extend({offset:e},r),n)},r.prototype.panTo=function(e,r,n){return this.easeTo(t.extend({center:e},r),n)},r.prototype.getZoom=function(){return this.transform.zoom},r.prototype.setZoom=function(t,e){return this.jumpTo({zoom:t},e),this},r.prototype.zoomTo=function(e,r,n){return this.easeTo(t.extend({zoom:e},r),n)},r.prototype.zoomIn=function(t,e){return this.zoomTo(this.getZoom()+1,t,e),this},r.prototype.zoomOut=function(t,e){return this.zoomTo(this.getZoom()-1,t,e),this},r.prototype.getBearing=function(){return this.transform.bearing},r.prototype.setBearing=function(t,e){return this.jumpTo({bearing:t},e),this},r.prototype.getPadding=function(){return this.transform.padding},r.prototype.setPadding=function(t,e){return this.jumpTo({padding:t},e),this},r.prototype.rotateTo=function(e,r,n){return this.easeTo(t.extend({bearing:e},r),n)},r.prototype.resetNorth=function(e,r){return this.rotateTo(0,t.extend({duration:1e3},e),r),this},r.prototype.resetNorthPitch=function(e,r){return this.easeTo(t.extend({bearing:0,pitch:0,duration:1e3},e),r),this},r.prototype.snapToNorth=function(t,e){return Math.abs(this.getBearing())<this._bearingSnap?this.resetNorth(t,e):this},r.prototype.getPitch=function(){return this.transform.pitch},r.prototype.setPitch=function(t,e){return this.jumpTo({pitch:t},e),this},r.prototype.cameraForBounds=function(e,r){return e=t.LngLatBounds.convert(e),this._cameraForBoxAndBearing(e.getNorthWest(),e.getSouthEast(),0,r)},r.prototype._cameraForBoxAndBearing=function(e,r,n,i){var a={top:0,bottom:0,right:0,left:0};if(\"number\"==typeof(i=t.extend({padding:a,offset:[0,0],maxZoom:this.transform.maxZoom},i)).padding){var o=i.padding;i.padding={top:o,bottom:o,right:o,left:o}}i.padding=t.extend(a,i.padding);var s=this.transform,l=s.padding,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=t.Point.convert(i.offset),b=(i.padding.left-i.padding.right)/2,_=(i.padding.top-i.padding.bottom)/2,w=new t.Point(x.x+b,x.y+_).mult(s.scale/s.zoomScale(m));return{center:s.unproject(u.add(c).div(2).sub(w)),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),clearTimeout(this._easeEndTimeoutID),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},D=(E(1)-P)/_;if(Math.abs(k)<1e-6||!isFinite(D)){if(Math.abs(w-T)<1e-6)return this.easeTo(e,r);var z=T<w?-1:1;D=Math.abs(Math.log(T/w))/_,I=function(){return 0},O=function(t){return Math.exp(z*_*t)}}if(\"duration\"in e)e.duration=+e.duration;else{var R=\"screenSpeed\"in e?+e.screenSpeed/_:+e.speed;e.duration=1e3*D/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*D,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()}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),Ti=function(e){void 0===e&&(e={}),this.options=e,t.bindAll([\"_updateEditLink\",\"_updateData\",\"_updateCompact\"],this)};Ti.prototype.getDefaultPosition=function(){return\"bottom-right\"},Ti.prototype.onAdd=function(t){var e=this.options&&this.options.compact;return this._map=t,this._container=r.create(\"div\",\"mapboxgl-ctrl mapboxgl-ctrl-attrib\"),this._innerContainer=r.create(\"div\",\"mapboxgl-ctrl-attrib-inner\",this._container),e&&this._container.classList.add(\"mapboxgl-compact\"),this._updateAttributions(),this._updateEditLink(),this._map.on(\"styledata\",this._updateData),this._map.on(\"sourcedata\",this._updateData),this._map.on(\"moveend\",this._updateEditLink),void 0===e&&(this._map.on(\"resize\",this._updateCompact),this._updateCompact()),this._container},Ti.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},Ti.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\"}},Ti.prototype._updateData=function(t){!t||\"metadata\"!==t.sourceDataType&&\"style\"!==t.dataType||(this._updateAttributions(),this._updateEditLink())},Ti.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)}},Ti.prototype._updateCompact=function(){this._map.getCanvasContainer().offsetWidth<=640?this._container.classList.add(\"mapboxgl-compact\"):this._container.classList.remove(\"mapboxgl-compact\")};var ki=function(){t.bindAll([\"_updateLogo\"],this),t.bindAll([\"_updateCompact\"],this)};ki.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},ki.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"sourcedata\",this._updateLogo),this._map.off(\"resize\",this._updateCompact)},ki.prototype.getDefaultPosition=function(){return\"bottom-left\"},ki.prototype._updateLogo=function(t){t&&\"metadata\"!==t.sourceDataType||(this._container.style.display=this._logoRequired()?\"block\":\"none\")},ki.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}},ki.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 Ai=function(){this._queue=[],this._id=0,this._cleared=!1,this._currentlyRunning=!1};Ai.prototype.add=function(t){var e=++this._id;return this._queue.push({callback:t,id:e,cancelled:!1}),e},Ai.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)}},Ai.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},Ai.prototype.clear=function(){this._currentlyRunning&&(this._cleared=!0),this._queue=[]};var Mi={\"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\"},Si=t.window.HTMLImageElement,Ei=t.window.HTMLElement,Li=t.window.ImageBitmap,Ci=60,Pi={center:[0,0],zoom:0,bearing:0,pitch:0,minZoom:-2,maxZoom:22,minPitch:0,maxPitch:Ci,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},Oi=function(n){function i(e){var r=this;if(null!=(e=t.extend({},Pi,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>Ci)throw new Error(\"maxPitch must be less than or equal to 60\");var i=new Sn(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 Ai,this._controls=[],this._mapId=t.uniqueId(),this._locale=t.extend({},Mi,e.locale),this._requestManager=new t.RequestManager(e.transformRequest,e.accessToken),\"string\"==typeof e.container){if(this._container=t.window.document.getElementById(e.container),!this._container)throw new Error(\"Container '\"+e.container+\"' not found.\")}else{if(!(e.container instanceof Ei))throw new Error(\"Invalid type: 'container' must be a String or HTMLElement.\");this._container=e.container}if(e.maxBounds&&this.setMaxBounds(e.maxBounds),t.bindAll([\"_onWindowOnline\",\"_onWindowResize\",\"_contextLost\",\"_contextRestored\"],this),this._setupContainer(),this._setupPainter(),void 0===this.painter)throw new Error(\"Failed to initialize WebGL.\");this.on(\"move\",(function(){return r._update(!1)})),this.on(\"moveend\",(function(){return r._update(!1)})),this.on(\"zoom\",(function(){return r._update(!0)})),void 0!==t.window&&(t.window.addEventListener(\"online\",this._onWindowOnline,!1),t.window.addEventListener(\"resize\",this._onWindowResize,!1)),this.handlers=new _i(this,e);var a=\"string\"==typeof e.hash&&e.hash||void 0;this._hash=e.hash&&new Ln(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 Ti({customAttribution:e.customAttribution})),this.addControl(new ki,e.logoPosition),this.on(\"style.load\",(function(){r.transform.unmodified&&r.jumpTo(r.style.stylesheet)})),this.on(\"data\",(function(e){r._update(\"style\"===e.dataType),r.fire(new t.Event(e.dataType+\"data\",e))})),this.on(\"dataloading\",(function(e){r.fire(new t.Event(e.dataType+\"dataloading\",e))}))}n&&(i.__proto__=n),i.prototype=Object.create(n&&n.prototype),i.prototype.constructor=i;var a={showTileBoundaries:{configurable:!0},showPadding:{configurable:!0},showCollisionBoxes:{configurable:!0},showOverdrawInspector:{configurable:!0},repaint:{configurable:!0},vertices:{configurable:!0},version:{configurable:!0}};return i.prototype._getMapId=function(){return this._mapId},i.prototype.addControl=function(e,r){if(void 0===r&&e.getDefaultPosition&&(r=e.getDefaultPosition()),void 0===r&&(r=\"top-right\"),!e||!e.onAdd)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.addControl(). Argument must be a control with onAdd and onRemove methods.\")));var n=e.onAdd(this);this._controls.push(e);var i=this._controlPositions[r];return-1!==r.indexOf(\"bottom\")?i.insertBefore(n,i.firstChild):i.appendChild(n),this},i.prototype.removeControl=function(e){if(!e||!e.onRemove)return this.fire(new t.ErrorEvent(new Error(\"Invalid argument to map.removeControl(). Argument must be a control with onAdd and onRemove methods.\")));var r=this._controls.indexOf(e);return r>-1&&this._controls.splice(r,1),e.onRemove(this),this},i.prototype.resize=function(e){var r=this._containerDimensions(),n=r[0],i=r[1];this._resizeCanvas(n,i),this.transform.resize(n,i),this.painter.resize(n,i);var a=!this._moving;return a&&(this.stop(),this.fire(new t.Event(\"movestart\",e)).fire(new t.Event(\"move\",e))),this.fire(new t.Event(\"resize\",e)),a&&this.fire(new t.Event(\"moveend\",e)),this},i.prototype.getBounds=function(){return this.transform.getBounds()},i.prototype.getMaxBounds=function(){return this.transform.getMaxBounds()},i.prototype.setMaxBounds=function(e){return this.transform.setMaxBounds(t.LngLatBounds.convert(e)),this._update()},i.prototype.setMinZoom=function(t){if((t=null==t?-2:t)>=-2&&t<=this.transform.maxZoom)return this.transform.minZoom=t,this._update(),this.getZoom()<t&&this.setZoom(t),this;throw new Error(\"minZoom must be between -2 and the current maxZoom, inclusive\")},i.prototype.getMinZoom=function(){return this.transform.minZoom},i.prototype.setMaxZoom=function(t){if((t=null==t?22:t)>=this.transform.minZoom)return this.transform.maxZoom=t,this._update(),this.getZoom()>t&&this.setZoom(t),this;throw new Error(\"maxZoom must be greater than the current minZoom\")},i.prototype.getMaxZoom=function(){return this.transform.maxZoom},i.prototype.setMinPitch=function(t){if((t=null==t?0:t)<0)throw new Error(\"minPitch must be greater than or equal to 0\");if(t>=0&&t<=this.transform.maxPitch)return this.transform.minPitch=t,this._update(),this.getPitch()<t&&this.setPitch(t),this;throw new Error(\"minPitch must be between 0 and the current maxPitch, inclusive\")},i.prototype.getMinPitch=function(){return this.transform.minPitch},i.prototype.setMaxPitch=function(t){if((t=null==t?Ci:t)>Ci)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 Bn(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 Bn(t,i,n.originalEvent)))},mouseout:function(e){o&&(o=!1,r.call(i,new Bn(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 Si||Li&&r instanceof Li){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 Si||Li&&r instanceof Li?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 Si||Li&&r instanceof Li);n.data.replace(s,l),this.style.updateImage(e,n)},i.prototype.hasImage=function(e){return e?!!this.style.getImage(e):(this.fire(new t.ErrorEvent(new Error(\"Missing required image id\"))),!1)},i.prototype.removeImage=function(t){this.style.removeImage(t)},i.prototype.loadImage=function(e,r){t.getImage(this._requestManager.transformRequest(e,t.ResourceType.Image),r)},i.prototype.listImages=function(){return this.style.listImages()},i.prototype.addLayer=function(t,e){return this._lazyInitEmptyStyle(),this.style.addLayer(t,e),this._update(!0)},i.prototype.moveLayer=function(t,e){return this.style.moveLayer(t,e),this._update(!0)},i.prototype.removeLayer=function(t){return this.style.removeLayer(t),this._update(!0)},i.prototype.getLayer=function(t){return this.style.getLayer(t)},i.prototype.setLayerZoomRange=function(t,e,r){return this.style.setLayerZoomRange(t,e,r),this._update(!0)},i.prototype.setFilter=function(t,e,r){return void 0===r&&(r={}),this.style.setFilter(t,e,r),this._update(!0)},i.prototype.getFilter=function(t){return this.style.getFilter(t)},i.prototype.setPaintProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setPaintProperty(t,e,r,n),this._update(!0)},i.prototype.getPaintProperty=function(t,e){return this.style.getPaintProperty(t,e)},i.prototype.setLayoutProperty=function(t,e,r,n){return void 0===n&&(n={}),this.style.setLayoutProperty(t,e,r,n),this._update(!0)},i.prototype.getLayoutProperty=function(t,e){return this.style.getLayoutProperty(t,e)},i.prototype.setLight=function(t,e){return void 0===e&&(e={}),this._lazyInitEmptyStyle(),this.style.setLight(t,e),this._update(!0)},i.prototype.getLight=function(){return this.style.getLight()},i.prototype.setFeatureState=function(t,e){return this.style.setFeatureState(t,e),this._update()},i.prototype.removeFeatureState=function(t,e){return this.style.removeFeatureState(t,e),this._update()},i.prototype.getFeatureState=function(t){return this.style.getFeatureState(t)},i.prototype.getContainer=function(){return this._container},i.prototype.getCanvasContainer=function(){return this._canvasContainer},i.prototype.getCanvas=function(){return this._canvas},i.prototype._containerDimensions=function(){var t=0,e=0;return this._container&&(t=this._container.clientWidth||400,e=this._container.clientHeight||300),[t,e]},i.prototype._detectMissingCSS=function(){\"rgb(250, 128, 114)\"!==t.window.getComputedStyle(this._missingCSSCanary).getPropertyValue(\"background-color\")&&t.warnOnce(\"This page appears to be missing CSS declarations for Mapbox GL JS, which may cause the map to display incorrectly. Please ensure your page includes mapbox-gl.css, as described in https://www.mapbox.com/mapbox-gl-js/api/.\")},i.prototype._setupContainer=function(){var t=this._container;t.classList.add(\"mapboxgl-map\"),(this._missingCSSCanary=r.create(\"div\",\"mapboxgl-canary\",t)).style.visibility=\"hidden\",this._detectMissingCSS();var e=this._canvasContainer=r.create(\"div\",\"mapboxgl-canvas-container\",t);this._interactive&&e.classList.add(\"mapboxgl-interactive\"),this._canvas=r.create(\"canvas\",\"mapboxgl-canvas\",e),this._canvas.addEventListener(\"webglcontextlost\",this._contextLost,!1),this._canvas.addEventListener(\"webglcontextrestored\",this._contextRestored,!1),this._canvas.setAttribute(\"tabindex\",\"0\"),this._canvas.setAttribute(\"aria-label\",\"Map\");var n=this._containerDimensions();this._resizeCanvas(n[0],n[1]);var i=this._controlContainer=r.create(\"div\",\"mapboxgl-control-container\",t),a=this._controlPositions={};[\"top-left\",\"top-right\",\"bottom-left\",\"bottom-right\"].forEach((function(t){a[t]=r.create(\"div\",\"mapboxgl-ctrl-\"+t,i)}))},i.prototype._resizeCanvas=function(e,r){var n=t.browser.devicePixelRatio||1;this._canvas.width=n*e,this._canvas.height=n*r,this._canvas.style.width=e+\"px\",this._canvas.style.height=r+\"px\"},i.prototype._setupPainter=function(){var r=t.extend({},e.webGLContextAttributes,{failIfMajorPerformanceCaveat:this._failIfMajorPerformanceCaveat,preserveDrawingBuffer:this._preserveDrawingBuffer,antialias:this._antialias||!1}),n=this._canvas.getContext(\"webgl\",r)||this._canvas.getContext(\"experimental-webgl\",r);n?(this.painter=new Tn(n,this.transform),t.webpSupported.testSupport(n)):this.fire(new t.ErrorEvent(new Error(\"Failed to initialize WebGL\")))},i.prototype._contextLost=function(e){e.preventDefault(),this._frame&&(this._frame.cancel(),this._frame=null),this.fire(new t.Event(\"webglcontextlost\",{originalEvent:e}))},i.prototype._contextRestored=function(e){this._setupPainter(),this.resize(),this._update(),this.fire(new t.Event(\"webglcontextrestored\",{originalEvent:e}))},i.prototype.loaded=function(){return!this._styleDirty&&!this._sourcesDirty&&!!this.style&&this.style.loaded()},i.prototype._update=function(t){return this.style?(this._styleDirty=this._styleDirty||t,this._sourcesDirty=!0,this.triggerRepaint(),this):this},i.prototype._requestRenderFrame=function(t){return this._update(),this._renderTaskQueue.add(t)},i.prototype._cancelRenderFrame=function(t){this._renderTaskQueue.remove(t)},i.prototype._render=function(e){var r,n=this,i=0,a=this.painter.context.extTimerQuery;if(this.listens(\"gpu-timing-frame\")&&(r=a.createQueryEXT(),a.beginQueryEXT(a.TIME_ELAPSED_EXT,r),i=t.browser.now()),this.painter.context.setDirty(),this.painter.setBaseState(),this._renderTaskQueue.run(e),!this._removed){var o=!1;if(this.style&&this._styleDirty){this._styleDirty=!1;var s=this.transform.zoom,l=t.browser.now();this.style.zoomHistory.update(s,l);var 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)}return this._sourcesDirty||this._styleDirty||this._placementDirty||this._repaint?this.triggerRepaint():!this.isMoving()&&this.loaded()&&(this._fullyLoaded||(this._fullyLoaded=!0),this.fire(new t.Event(\"idle\"))),this}},i.prototype.remove=function(){this._hash&&this._hash.remove();for(var e=0,r=this._controls;e<r.length;e+=1)r[e].onRemove(this);this._controls=[],this._frame&&(this._frame.cancel(),this._frame=null),this._renderTaskQueue.clear(),this.painter.destroy(),this.handlers.destroy(),delete this.handlers,this.setStyle(null),void 0!==t.window&&(t.window.removeEventListener(\"resize\",this._onWindowResize,!1),t.window.removeEventListener(\"online\",this._onWindowOnline,!1));var n=this.painter.context.gl.getExtension(\"WEBGL_lose_context\");n&&n.loseContext(),Ii(this._canvasContainer),Ii(this._controlContainer),Ii(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}(wi);function Ii(t){t.parentNode&&t.parentNode.removeChild(t)}var Di={showCompass:!0,showZoom:!0,visualizePitch:!1},zi=function(e){var n=this;this.options=t.extend({},Di,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))};zi.prototype._updateZoomButtons=function(){var t=this._map.getZoom();this._zoomInButton.disabled=t===this._map.getMaxZoom(),this._zoomOutButton.disabled=t===this._map.getMinZoom()},zi.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},zi.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 Ri(this._map,this._compass,this.options.visualizePitch)),this._container},zi.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},zi.prototype._createButton=function(t,e){var n=r.create(\"button\",t,this._container);return n.type=\"button\",n.addEventListener(\"click\",e),n},zi.prototype._setButtonTitle=function(t,e){var r=this._map._getUIString(\"NavigationControl.\"+e);t.title=r,t.setAttribute(\"aria-label\",r)};var Ri=function(e,n,i){void 0===i&&(i=!1),this._clickTolerance=10,this.element=n,this.mouseRotate=new Jn({clickTolerance:e.dragRotate._mouseRotate._clickTolerance}),this.map=e,i&&(this.mousePitch=new Kn({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 Fi(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}Ri.prototype.down=function(t,e){this.mouseRotate.mousedown(t,e),this.mousePitch&&this.mousePitch.mousedown(t,e),r.disableDrag()},Ri.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)}},Ri.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()},Ri.prototype.offTemp=function(){r.enableDrag(),r.removeEventListener(t.window,\"mousemove\",this.mousemove),r.removeEventListener(t.window,\"mouseup\",this.mouseup)},Ri.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)},Ri.prototype.mousemove=function(t){this.move(t,r.mousePos(this.element,t))},Ri.prototype.mouseup=function(t){this.mouseRotate.mouseupWindow(t),this.mousePitch&&this.mousePitch.mouseupWindow(t),this.offTemp()},Ri.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))},Ri.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))},Ri.prototype.touchend=function(t){0===t.targetTouches.length&&this._startPos&&this._lastPos&&this._startPos.dist(this._lastPos)<this._clickTolerance&&this.element.click(),this.reset()},Ri.prototype.reset=function(){this.mouseRotate.reset(),this.mousePitch&&this.mousePitch.reset(),delete this._startPos,delete this._lastPos,this.offTemp()};var Bi={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 Ni(t,e,r){var n=t.classList;for(var i in Bi)n.remove(\"mapboxgl-\"+r+\"-anchor-\"+i);n.add(\"mapboxgl-\"+r+\"-anchor-\"+e)}var ji,Ui=function(e){function n(n,i){var a=this;if(e.call(this),(n instanceof t.window.HTMLElement||i)&&(n=t.extend({element:n},i)),t.bindAll([\"_update\",\"_onMove\",\"_onUp\",\"_addDragHandler\",\"_onMapClick\",\"_onKeyPress\"],this),this._anchor=n&&n.anchor||\"center\",this._color=n&&n.color||\"#3FB1CE\",this._draggable=n&&n.draggable||!1,this._state=\"inactive\",this._rotation=n&&n.rotation||0,this._rotationAlignment=n&&n.rotationAlignment||\"auto\",this._pitchAlignment=n&&n.pitchAlignment&&\"auto\"!==n.pitchAlignment?n.pitchAlignment:this._rotationAlignment,n&&n.element)this._element=n.element,this._offset=t.Point.convert(n&&n.offset||[0,0]);else{this._defaultMarker=!0,this._element=r.create(\"div\"),this._element.setAttribute(\"aria-label\",\"Map marker\");var o=r.createNS(\"http://www.w3.org/2000/svg\",\"svg\");o.setAttributeNS(null,\"display\",\"block\"),o.setAttributeNS(null,\"height\",\"41px\"),o.setAttributeNS(null,\"width\",\"27px\"),o.setAttributeNS(null,\"viewBox\",\"0 0 27 41\");var s=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");s.setAttributeNS(null,\"stroke\",\"none\"),s.setAttributeNS(null,\"stroke-width\",\"1\"),s.setAttributeNS(null,\"fill\",\"none\"),s.setAttributeNS(null,\"fill-rule\",\"evenodd\");var l=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");l.setAttributeNS(null,\"fill-rule\",\"nonzero\");var u=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");u.setAttributeNS(null,\"transform\",\"translate(3.0, 29.0)\"),u.setAttributeNS(null,\"fill\",\"#000000\");for(var c=0,f=[{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"10.5\",ry:\"5.25002273\"},{rx:\"9.5\",ry:\"4.77275007\"},{rx:\"8.5\",ry:\"4.29549936\"},{rx:\"7.5\",ry:\"3.81822308\"},{rx:\"6.5\",ry:\"3.34094679\"},{rx:\"5.5\",ry:\"2.86367051\"},{rx:\"4.5\",ry:\"2.38636864\"}];c<f.length;c+=1){var h=f[c],p=r.createNS(\"http://www.w3.org/2000/svg\",\"ellipse\");p.setAttributeNS(null,\"opacity\",\"0.04\"),p.setAttributeNS(null,\"cx\",\"10.5\"),p.setAttributeNS(null,\"cy\",\"5.80029008\"),p.setAttributeNS(null,\"rx\",h.rx),p.setAttributeNS(null,\"ry\",h.ry),u.appendChild(p)}var d=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");d.setAttributeNS(null,\"fill\",this._color);var v=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");v.setAttributeNS(null,\"d\",\"M27,13.5 C27,19.074644 20.250001,27.000002 14.75,34.500002 C14.016665,35.500004 12.983335,35.500004 12.25,34.500002 C6.7499993,27.000002 0,19.222562 0,13.5 C0,6.0441559 6.0441559,0 13.5,0 C20.955844,0 27,6.0441559 27,13.5 Z\"),d.appendChild(v);var g=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");g.setAttributeNS(null,\"opacity\",\"0.25\"),g.setAttributeNS(null,\"fill\",\"#000000\");var y=r.createNS(\"http://www.w3.org/2000/svg\",\"path\");y.setAttributeNS(null,\"d\",\"M13.5,0 C6.0441559,0 0,6.0441559 0,13.5 C0,19.222562 6.7499993,27 12.25,34.5 C13,35.522727 14.016664,35.500004 14.75,34.5 C20.250001,27 27,19.074644 27,13.5 C27,6.0441559 20.955844,0 13.5,0 Z M13.5,1 C20.415404,1 26,6.584596 26,13.5 C26,15.898657 24.495584,19.181431 22.220703,22.738281 C19.945823,26.295132 16.705119,30.142167 13.943359,33.908203 C13.743445,34.180814 13.612715,34.322738 13.5,34.441406 C13.387285,34.322738 13.256555,34.180814 13.056641,33.908203 C10.284481,30.127985 7.4148684,26.314159 5.015625,22.773438 C2.6163816,19.232715 1,15.953538 1,13.5 C1,6.584596 6.584596,1 13.5,1 Z\"),g.appendChild(y);var m=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");m.setAttributeNS(null,\"transform\",\"translate(6.0, 7.0)\"),m.setAttributeNS(null,\"fill\",\"#FFFFFF\");var x=r.createNS(\"http://www.w3.org/2000/svg\",\"g\");x.setAttributeNS(null,\"transform\",\"translate(8.0, 8.0)\");var b=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");b.setAttributeNS(null,\"fill\",\"#000000\"),b.setAttributeNS(null,\"opacity\",\"0.25\"),b.setAttributeNS(null,\"cx\",\"5.5\"),b.setAttributeNS(null,\"cy\",\"5.5\"),b.setAttributeNS(null,\"r\",\"5.4999962\");var _=r.createNS(\"http://www.w3.org/2000/svg\",\"circle\");_.setAttributeNS(null,\"fill\",\"#FFFFFF\"),_.setAttributeNS(null,\"cx\",\"5.5\"),_.setAttributeNS(null,\"cy\",\"5.5\"),_.setAttributeNS(null,\"r\",\"5.4999962\"),x.appendChild(b),x.appendChild(_),l.appendChild(u),l.appendChild(d),l.appendChild(g),l.appendChild(m),l.appendChild(x),o.appendChild(l),this._element.appendChild(o),this._offset=t.Point.convert(n&&n.offset||[0,-14])}this._element.classList.add(\"mapboxgl-marker\"),this._element.addEventListener(\"dragstart\",(function(t){t.preventDefault()})),this._element.addEventListener(\"mousedown\",(function(t){t.preventDefault()})),this._element.addEventListener(\"focus\",(function(){var t=a._map.getContainer();t.scrollTop=0,t.scrollLeft=0})),Ni(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=Fi(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,Bi[this._anchor]+\" translate(\"+this._pos.x+\"px, \"+this._pos.y+\"px) \"+n+\" \"+e)}},n.prototype.getOffset=function(){return this._offset},n.prototype.setOffset=function(e){return this._offset=t.Point.convert(e),this._update(),this},n.prototype._onMove=function(e){this._pos=e.point.sub(this._positionDelta),this._lngLat=this._map.unproject(this._pos),this.setLngLat(this._lngLat),this._element.style.pointerEvents=\"none\",\"pending\"===this._state&&(this._state=\"active\",this.fire(new t.Event(\"dragstart\"))),this.fire(new t.Event(\"drag\"))},n.prototype._onUp=function(){this._element.style.pointerEvents=\"auto\",this._positionDelta=null,this._map.off(\"mousemove\",this._onMove),this._map.off(\"touchmove\",this._onMove),\"active\"===this._state&&this.fire(new t.Event(\"dragend\")),this._state=\"inactive\"},n.prototype._addDragHandler=function(t){this._element.contains(t.originalEvent.target)&&(t.preventDefault(),this._positionDelta=t.point.sub(this._pos).add(this._offset),this._state=\"pending\",this._map.on(\"mousemove\",this._onMove),this._map.on(\"touchmove\",this._onMove),this._map.once(\"mouseup\",this._onUp),this._map.once(\"touchend\",this._onUp))},n.prototype.setDraggable=function(t){return this._draggable=!!t,this._map&&(t?(this._map.on(\"mousedown\",this._addDragHandler),this._map.on(\"touchstart\",this._addDragHandler)):(this._map.off(\"mousedown\",this._addDragHandler),this._map.off(\"touchstart\",this._addDragHandler))),this},n.prototype.isDraggable=function(){return this._draggable},n.prototype.setRotation=function(t){return this._rotation=t||0,this._update(),this},n.prototype.getRotation=function(){return this._rotation},n.prototype.setRotationAlignment=function(t){return this._rotationAlignment=t||\"auto\",this._update(),this},n.prototype.getRotationAlignment=function(){return this._rotationAlignment},n.prototype.setPitchAlignment=function(t){return this._pitchAlignment=t&&\"auto\"!==t?t:this._rotationAlignment,this._update(),this},n.prototype.getPitchAlignment=function(){return this._pitchAlignment},n}(t.Evented),Vi={positionOptions:{enableHighAccuracy:!1,maximumAge:0,timeout:6e3},fitBoundsOptions:{maxZoom:15},trackUserLocation:!1,showAccuracyCircle:!0,showUserLocation:!0};var Hi=0,qi=!1,Gi=function(e){function n(r){e.call(this),this.options=t.extend({},Vi,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!==ji?n(ji):void 0!==t.window.navigator.permissions?t.window.navigator.permissions.query({name:\"geolocation\"}).then((function(t){ji=\"denied\"!==t.state,n(ji)})):(ji=!!t.window.navigator.geolocation,n(ji)),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,Hi=0,qi=!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&&qi)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 Ui(this._dotElement),this._circleElement=r.create(\"div\",\"mapboxgl-user-location-accuracy-circle\"),this._accuracyCircleMarker=new Ui({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\":Hi--,qi=!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\"),++Hi>1?(e={maximumAge:6e5,timeout:0},qi=!0):(e=this.options.positionOptions,qi=!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),Zi={maxWidth:100,unit:\"metric\"},Yi=function(e){this.options=t.extend({},Zi,e),t.bindAll([\"_onMove\",\"setUnit\"],this)};function Wi(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?Xi(e,n,l/5280,t._getUIString(\"ScaleControl.Miles\")):Xi(e,n,l,t._getUIString(\"ScaleControl.Feet\"))}else r&&\"nautical\"===r.unit?Xi(e,n,s/1852,t._getUIString(\"ScaleControl.NauticalMiles\")):s>=1e3?Xi(e,n,s/1e3,t._getUIString(\"ScaleControl.Kilometers\")):Xi(e,n,s,t._getUIString(\"ScaleControl.Meters\"))}function Xi(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}Yi.prototype.getDefaultPosition=function(){return\"bottom-left\"},Yi.prototype._onMove=function(){Wi(this._map,this._container,this.options)},Yi.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},Yi.prototype.onRemove=function(){r.remove(this._container),this._map.off(\"move\",this._onMove),this._map=void 0},Yi.prototype.setUnit=function(t){this.options.unit=t,Wi(this._map,this._container,this.options)};var Ji=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\")};Ji.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},Ji.prototype.onRemove=function(){r.remove(this._controlContainer),this._map=null,t.window.document.removeEventListener(this._fullscreenchange,this._changeIcon)},Ji.prototype._checkFullscreenSupport=function(){return!!(t.window.document.fullscreenEnabled||t.window.document.mozFullScreenEnabled||t.window.document.msFullscreenEnabled||t.window.document.webkitFullscreenEnabled)},Ji.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)},Ji.prototype._updateTitle=function(){var t=this._getTitle();this._fullscreenButton.setAttribute(\"aria-label\",t),this._fullscreenButton.title=t},Ji.prototype._getTitle=function(){return this._map._getUIString(this._isFullscreen()?\"FullscreenControl.Exit\":\"FullscreenControl.Enter\")},Ji.prototype._isFullscreen=function(){return this._fullscreen},Ji.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())},Ji.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 Ki={closeButton:!0,closeOnClick:!0,className:\"\",maxWidth:\"240px\"},$i=function(e){function n(r){e.call(this),this.options=t.extend(Object.create(Ki),r),t.bindAll([\"_update\",\"_onClose\",\"remove\",\"_onMouseMove\",\"_onMouseUp\",\"_onDrag\"],this)}return e&&(n.__proto__=e),n.prototype=Object.create(e&&e.prototype),n.prototype.constructor=n,n.prototype.addTo=function(e){return this._map&&this.remove(),this._map=e,this.options.closeOnClick&&this._map.on(\"click\",this._onClose),this.options.closeOnMove&&this._map.on(\"move\",this._onClose),this._map.on(\"remove\",this.remove),this._update(),this._trackPointer?(this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"mouseup\",this._onMouseUp),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")):this._map.on(\"move\",this._update),this.fire(new t.Event(\"open\")),this},n.prototype.isOpen=function(){return!!this._map},n.prototype.remove=function(){return this._content&&r.remove(this._content),this._container&&(r.remove(this._container),delete this._container),this._map&&(this._map.off(\"move\",this._update),this._map.off(\"move\",this._onClose),this._map.off(\"click\",this._onClose),this._map.off(\"remove\",this.remove),this._map.off(\"mousemove\",this._onMouseMove),this._map.off(\"mouseup\",this._onMouseUp),this._map.off(\"drag\",this._onDrag),delete this._map),this.fire(new t.Event(\"close\")),this},n.prototype.getLngLat=function(){return this._lngLat},n.prototype.setLngLat=function(e){return this._lngLat=t.LngLat.convert(e),this._pos=null,this._trackPointer=!1,this._update(),this._map&&(this._map.on(\"move\",this._update),this._map.off(\"mousemove\",this._onMouseMove),this._container&&this._container.classList.remove(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.remove(\"mapboxgl-track-pointer\")),this},n.prototype.trackPointer=function(){return this._trackPointer=!0,this._pos=null,this._update(),this._map&&(this._map.off(\"move\",this._update),this._map.on(\"mousemove\",this._onMouseMove),this._map.on(\"drag\",this._onDrag),this._container&&this._container.classList.add(\"mapboxgl-popup-track-pointer\"),this._map._canvasContainer.classList.add(\"mapboxgl-track-pointer\")),this},n.prototype.getElement=function(){return this._container},n.prototype.setText=function(e){return this.setDOMContent(t.window.document.createTextNode(e))},n.prototype.setHTML=function(e){var r,n=t.window.document.createDocumentFragment(),i=t.window.document.createElement(\"body\");for(i.innerHTML=e;r=i.firstChild;)n.appendChild(r);return this.setDOMContent(n)},n.prototype.getMaxWidth=function(){return this._container&&this._container.style.maxWidth},n.prototype.setMaxWidth=function(t){return this.options.maxWidth=t,this._update(),this},n.prototype.setDOMContent=function(t){return this._createContent(),this._content.appendChild(t),this._update(),this},n.prototype.addClassName=function(t){this._container&&this._container.classList.add(t)},n.prototype.removeClassName=function(t){this._container&&this._container.classList.remove(t)},n.prototype.toggleClassName=function(t){if(this._container)return this._container.classList.toggle(t)},n.prototype._createContent=function(){this._content&&r.remove(this._content),this._content=r.create(\"div\",\"mapboxgl-popup-content\",this._container),this.options.closeButton&&(this._closeButton=r.create(\"button\",\"mapboxgl-popup-close-button\",this._content),this._closeButton.type=\"button\",this._closeButton.setAttribute(\"aria-label\",\"Close popup\"),this._closeButton.innerHTML=\"&#215;\",this._closeButton.addEventListener(\"click\",this._onClose))},n.prototype._onMouseUp=function(t){this._update(t.point)},n.prototype._onMouseMove=function(t){this._update(t.point)},n.prototype._onDrag=function(t){this._update(t.point)},n.prototype._update=function(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=Fi(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=Qi(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,Bi[a]+\" translate(\"+c.x+\"px,\"+c.y+\"px)\"),Ni(this._container,a,\"popup\")}},n.prototype._onClose=function(){this.remove()},n}(t.Evented);function Qi(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 Qi(new t.Point(0,0))}var ta={version:t.version,supported:e,setRTLTextPlugin:t.setRTLTextPlugin,getRTLTextPluginStatus:t.getRTLTextPluginStatus,Map:Oi,NavigationControl:zi,GeolocateControl:Gi,AttributionControl:Ti,ScaleControl:Yi,FullscreenControl:Ji,Popup:$i,Marker:Ui,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. 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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},87263:function(t,e,r){var n=r(26859);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 i=n.node({isStart:!1,pt:e.end,seg:e,primary:r,other:t,status:null});t.other=i,o(i,t.pt)}(r,t,e),r}function l(t,e){var n=i(e,t.seg.end,t.seg);return function(t,e){r&&r.segmentChop(t.seg,e),t.other.remove(),t.seg.end=e,t.other.pt=e,o(t.other,t.pt)}(t,e),s(n,t.primary)}function u(i,o){var s=n.create();function u(t){return s.findTransition((function(r){var n,i,a,o,s,l;return n=t,i=r.ev,a=n.seg.start,o=n.seg.end,s=i.seg.start,l=i.seg.end,(e.pointsCollinear(a,s,l)?e.pointsCollinear(o,s,l)||e.pointAboveOrOnLine(o,s,l)?1:-1:e.pointAboveOrOnLine(a,s,l)?1:-1)>0}))}function c(t,n){var i=t.seg,a=n.seg,o=i.start,s=i.end,u=a.start,c=a.end;r&&r.checkIntersection(i,a);var f=e.linesIntersect(o,s,u,c);if(!1===f){if(!e.pointsCollinear(o,s,u))return!1;if(e.pointsSame(o,c)||e.pointsSame(s,u))return!1;var h=e.pointsSame(o,u),p=e.pointsSame(s,c);if(h&&p)return n;var d=!h&&e.pointBetween(o,u,c),v=!p&&e.pointBetween(s,u,c);if(h)return v?l(n,s):l(t,c),n;d&&(p||(v?l(n,s):l(t,c)),l(n,o))}else 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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}},55968: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},14847:function(t,e,r){\"use 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t&&(t=x[t]),null!=t&&t&&t.count&&t.color&&t.opacity&&t.positions&&t.positions.length>1&&(t.scaleRatio=[t.scale[0]*t.viewport.width,t.scale[1]*t.viewport.height],r(t),t.after&&t.after(t))}function T(t){if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var e=0,r=0;if(b.groups=x=t.map((function(t,u){var c=x[u];return t?(\"function\"==typeof t?t={after:t}:\"number\"==typeof t[0]&&(t={positions:t}),t=o(t,{color:\"color colors fill\",capSize:\"capSize cap capsize cap-size\",lineWidth:\"lineWidth line-width width line thickness\",opacity:\"opacity alpha\",range:\"range dataBox\",viewport:\"viewport viewBox\",errors:\"errors error\",positions:\"positions position data points\"}),c||(x[u]=c={id:u,scale:null,translate:null,scaleFract:null,translateFract:null,draw:!0},t=s({},m,t)),a(c,t,[{lineWidth:function(t){return.5*+t},capSize:function(t){return.5*+t},opacity:parseFloat,errors:function(t){return t=l(t),r+=t.length,t},positions:function(t,r){return t=l(t,\"float64\"),r.count=Math.floor(t.length/2),r.bounds=n(t,2),r.offset=e,e+=r.count,t}},{color:function(t,e){var r=e.count;if(t||(t=\"transparent\"),!Array.isArray(t)||\"number\"==typeof t[0]){var n=t;t=Array(r);for(var a=0;a<r;a++)t[a]=n}if(t.length<r)throw Error(\"Not enough colors\");for(var o=new Uint8Array(4*r),s=0;s<r;s++){var l=i(t[s],\"uint8\");o.set(l,4*s)}return o},range:function(t,e,r){var n=e.bounds;return t||(t=n),e.scale=[1/(t[2]-t[0]),1/(t[3]-t[1])],e.translate=[-t[0],-t[1]],e.scaleFract=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]]},46075:function(t,e,r){\"use strict\";var n=r(25075),i=r(21527),a=r(56131),o=r(56068),s=r(71299),l=r(30120),u=r(11474),c=r(54),f=r(57060),h=f.float32,p=f.fract32,d=r(83522),v=r(18863),g=r(6851);function y(t,e){if(!(this instanceof y))return new y(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=y.shaders.has(t)?y.shaders.get(t):y.shaders.set(t,y.createShaders(t)).get(t),this.update(e)}t.exports=y,y.dashMult=2,y.maxPatternLength=256,y.precisionThreshold=3e6,y.maxPoints=1e4,y.maxLines=2048,y.shaders=new d,y.createShaders=function(t){var e,r=t.buffer({usage:\"static\",type:\"float\",data:[0,1,0,0,1,1,1,0]}),n={primitive:\"triangle strip\",instances:t.prop(\"count\"),count:4,offset:0,uniforms:{miterMode:function(t,e){return\"round\"===e.join?2:1},miterLimit:t.prop(\"miterLimit\"),scale:t.prop(\"scale\"),scaleFract:t.prop(\"scaleFract\"),translateFract:t.prop(\"translateFract\"),translate:t.prop(\"translate\"),thickness:t.prop(\"thickness\"),dashTexture:t.prop(\"dashTexture\"),opacity:t.prop(\"opacity\"),pixelRatio:t.context(\"pixelRatio\"),id:t.prop(\"id\"),dashLength:t.prop(\"dashLength\"),viewport:function(t,e){return[e.viewport.x,e.viewport.y,t.viewportWidth,t.viewportHeight]},depth:t.prop(\"depth\")},blend:{enable:!0,color:[0,0,0,0],equation:{rgb:\"add\",alpha:\"add\"},func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},depth:{enable:function(t,e){return!e.overlay}},stencil:{enable:!1},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\")},i=t(a({vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, aCoordFract, bCoordFract;\\nattribute vec4 color;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, scaleFract, translate, translateFract;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvec2 project(vec2 position, vec2 positionFract, vec2 scale, vec2 scaleFract, vec2 translate, vec2 translateFract) {\\n\\t// the order is important\\n\\treturn position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n}\\n\\nvoid main() {\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineOffset = lineTop * 2. - 1.;\\n\\n\\tvec2 diff = (bCoord + bCoordFract - aCoord - aCoordFract);\\n\\ttangent = normalize(diff * scale * viewport.zw);\\n\\tvec2 normal = vec2(-tangent.y, tangent.x);\\n\\n\\tvec2 position = project(aCoord, aCoordFract, scale, scaleFract, translate, translateFract) * lineStart\\n\\t\\t+ project(bCoord, bCoordFract, scale, scaleFract, translate, translateFract) * lineEnd\\n\\n\\t\\t+ thickness * normal * .5 * lineOffset / viewport.zw;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\n\\nvoid main() {\\n\\tfloat alpha = 1.;\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * dash;\\n}\\n\"]),attributes:{lineEnd:{buffer:r,divisor:0,stride:8,offset:0},lineTop:{buffer:r,divisor:0,stride:8,offset:4},aCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:8,divisor:1},bCoord:{buffer:t.prop(\"positionBuffer\"),stride:8,offset:16,divisor:1},aCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:8,divisor:1},bCoordFract:{buffer:t.prop(\"positionFractBuffer\"),stride:8,offset:16,divisor:1},color:{buffer:t.prop(\"colorBuffer\"),stride:4,offset:0,divisor:1}}},n));try{e=t(a({cull:{enable:!0,face:\"back\"},vert:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nattribute vec2 aCoord, bCoord, nextCoord, prevCoord;\\nattribute vec4 aColor, bColor;\\nattribute float lineEnd, lineTop;\\n\\nuniform vec2 scale, translate;\\nuniform float thickness, pixelRatio, id, depth;\\nuniform vec4 viewport;\\nuniform float miterLimit, miterMode;\\n\\nvarying vec4 fragColor;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 tangent;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nconst float REVERSE_THRESHOLD = -.875;\\nconst float MIN_DIFF = 1e-6;\\n\\n// TODO: possible optimizations: avoid overcalculating all for vertices and calc just one instead\\n// TODO: precalculate dot products, normalize things beforehead etc.\\n// TODO: refactor to rectangular algorithm\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nbool isNaN( float val ){\\n  return ( val < 0.0 || 0.0 < val || val == 0.0 ) ? false : true;\\n}\\n\\nvoid main() {\\n\\tvec2 aCoord = aCoord, bCoord = bCoord, prevCoord = prevCoord, nextCoord = nextCoord;\\n\\n  vec2 adjustedScale;\\n  adjustedScale.x = (abs(scale.x) < MIN_DIFF) ? MIN_DIFF : scale.x;\\n  adjustedScale.y = (abs(scale.y) < MIN_DIFF) ? MIN_DIFF : scale.y;\\n\\n  vec2 scaleRatio = adjustedScale * viewport.zw;\\n\\tvec2 normalWidth = thickness / scaleRatio;\\n\\n\\tfloat lineStart = 1. - lineEnd;\\n\\tfloat lineBot = 1. - lineTop;\\n\\n\\tfragColor = (lineStart * aColor + lineEnd * bColor) / 255.;\\n\\n\\tif (isNaN(aCoord.x) || isNaN(aCoord.y) || isNaN(bCoord.x) || isNaN(bCoord.y)) return;\\n\\n\\tif (aCoord == prevCoord) prevCoord = aCoord + normalize(bCoord - aCoord);\\n\\tif (bCoord == nextCoord) nextCoord = bCoord - normalize(bCoord - aCoord);\\n\\n\\tvec2 prevDiff = aCoord - prevCoord;\\n\\tvec2 currDiff = bCoord - aCoord;\\n\\tvec2 nextDiff = nextCoord - bCoord;\\n\\n\\tvec2 prevTangent = normalize(prevDiff * scaleRatio);\\n\\tvec2 currTangent = normalize(currDiff * scaleRatio);\\n\\tvec2 nextTangent = normalize(nextDiff * scaleRatio);\\n\\n\\tvec2 prevNormal = vec2(-prevTangent.y, prevTangent.x);\\n\\tvec2 currNormal = vec2(-currTangent.y, currTangent.x);\\n\\tvec2 nextNormal = vec2(-nextTangent.y, nextTangent.x);\\n\\n\\tvec2 startJoinDirection = normalize(prevTangent - currTangent);\\n\\tvec2 endJoinDirection = normalize(currTangent - nextTangent);\\n\\n\\t// collapsed/unidirectional segment cases\\n\\t// FIXME: there should be more elegant solution\\n\\tvec2 prevTanDiff = abs(prevTangent - currTangent);\\n\\tvec2 nextTanDiff = abs(nextTangent - currTangent);\\n\\tif (max(prevTanDiff.x, prevTanDiff.y) < MIN_DIFF) {\\n\\t\\tstartJoinDirection = currNormal;\\n\\t}\\n\\tif (max(nextTanDiff.x, nextTanDiff.y) < MIN_DIFF) {\\n\\t\\tendJoinDirection = currNormal;\\n\\t}\\n\\tif (aCoord == bCoord) {\\n\\t\\tendJoinDirection = startJoinDirection;\\n\\t\\tcurrNormal = prevNormal;\\n\\t\\tcurrTangent = prevTangent;\\n\\t}\\n\\n\\ttangent = currTangent;\\n\\n\\t//calculate join shifts relative to normals\\n\\tfloat startJoinShift = dot(currNormal, startJoinDirection);\\n\\tfloat endJoinShift = dot(currNormal, endJoinDirection);\\n\\n\\tfloat startMiterRatio = abs(1. / startJoinShift);\\n\\tfloat endMiterRatio = abs(1. / endJoinShift);\\n\\n\\tvec2 startJoin = startJoinDirection * startMiterRatio;\\n\\tvec2 endJoin = endJoinDirection * endMiterRatio;\\n\\n\\tvec2 startTopJoin, startBotJoin, endTopJoin, endBotJoin;\\n\\tstartTopJoin = sign(startJoinShift) * startJoin * .5;\\n\\tstartBotJoin = -startTopJoin;\\n\\n\\tendTopJoin = sign(endJoinShift) * endJoin * .5;\\n\\tendBotJoin = -endTopJoin;\\n\\n\\tvec2 aTopCoord = aCoord + normalWidth * startTopJoin;\\n\\tvec2 bTopCoord = bCoord + normalWidth * endTopJoin;\\n\\tvec2 aBotCoord = aCoord + normalWidth * startBotJoin;\\n\\tvec2 bBotCoord = bCoord + normalWidth * endBotJoin;\\n\\n\\t//miter anti-clipping\\n\\tfloat baClipping = distToLine(bCoord, aCoord, aBotCoord) / dot(normalize(normalWidth * endBotJoin), normalize(normalWidth.yx * vec2(-startBotJoin.y, startBotJoin.x)));\\n\\tfloat abClipping = distToLine(aCoord, bCoord, bTopCoord) / dot(normalize(normalWidth * startBotJoin), normalize(normalWidth.yx * vec2(-endBotJoin.y, endBotJoin.x)));\\n\\n\\t//prevent close to reverse direction switch\\n\\tbool prevReverse = dot(currTangent, prevTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, prevNormal)) * min(length(prevDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\tbool nextReverse = dot(currTangent, nextTangent) <= REVERSE_THRESHOLD && abs(dot(currTangent, nextNormal)) * min(length(nextDiff), length(currDiff)) <  length(normalWidth * currNormal);\\n\\n\\tif (prevReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * startJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / startMiterRatio, 1.);\\n\\t\\taBotCoord = aCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\taTopCoord = aCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!nextReverse && baClipping > 0. && baClipping < length(normalWidth * endBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\tbTopCoord -= normalWidth * endTopJoin;\\n\\t\\tbTopCoord += normalize(endTopJoin * normalWidth) * baClipping;\\n\\t}\\n\\n\\tif (nextReverse) {\\n\\t\\t//make join rectangular\\n\\t\\tvec2 miterShift = normalWidth * endJoinDirection * miterLimit * .5;\\n\\t\\tfloat normalAdjust = 1. - min(miterLimit / endMiterRatio, 1.);\\n\\t\\tbBotCoord = bCoord + miterShift - normalAdjust * normalWidth * currNormal * .5;\\n\\t\\tbTopCoord = bCoord + miterShift + normalAdjust * normalWidth * currNormal * .5;\\n\\t}\\n\\telse if (!prevReverse && abClipping > 0. && abClipping < length(normalWidth * startBotJoin)) {\\n\\t\\t//handle miter clipping\\n\\t\\taBotCoord -= normalWidth * startBotJoin;\\n\\t\\taBotCoord += normalize(startBotJoin * normalWidth) * abClipping;\\n\\t}\\n\\n\\tvec2 aTopPosition = (aTopCoord) * adjustedScale + translate;\\n\\tvec2 aBotPosition = (aBotCoord) * adjustedScale + translate;\\n\\n\\tvec2 bTopPosition = (bTopCoord) * adjustedScale + translate;\\n\\tvec2 bBotPosition = (bBotCoord) * adjustedScale + translate;\\n\\n\\t//position is normalized 0..1 coord on the screen\\n\\tvec2 position = (aTopPosition * lineTop + aBotPosition * lineBot) * lineStart + (bTopPosition * lineTop + bBotPosition * lineBot) * lineEnd;\\n\\n\\tstartCoord = aCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\tendCoord = bCoord * scaleRatio + translate * viewport.zw + viewport.xy;\\n\\n\\tgl_Position = vec4(position  * 2.0 - 1.0, depth, 1);\\n\\n\\tenableStartMiter = step(dot(currTangent, prevTangent), .5);\\n\\tenableEndMiter = step(dot(currTangent, nextTangent), .5);\\n\\n\\t//bevel miter cutoffs\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * miterLimit * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n\\n\\t//round miter cutoffs\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tvec2 startMiterWidth = vec2(startJoinDirection) * thickness * abs(dot(startJoinDirection, currNormal)) * .5;\\n\\t\\t\\tstartCutoff = vec4(aCoord, aCoord);\\n\\t\\t\\tstartCutoff.zw += vec2(-startJoinDirection.y, startJoinDirection.x) / scaleRatio;\\n\\t\\t\\tstartCutoff = startCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tstartCutoff += viewport.xyxy;\\n\\t\\t\\tstartCutoff += startMiterWidth.xyxy;\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tvec2 endMiterWidth = vec2(endJoinDirection) * thickness * abs(dot(endJoinDirection, currNormal)) * .5;\\n\\t\\t\\tendCutoff = vec4(bCoord, bCoord);\\n\\t\\t\\tendCutoff.zw += vec2(-endJoinDirection.y, endJoinDirection.x)  / scaleRatio;\\n\\t\\t\\tendCutoff = endCutoff * scaleRatio.xyxy + translate.xyxy * viewport.zwzw;\\n\\t\\t\\tendCutoff += viewport.xyxy;\\n\\t\\t\\tendCutoff += endMiterWidth.xyxy;\\n\\t\\t}\\n\\t}\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float dashLength, pixelRatio, thickness, opacity, id, miterMode;\\nuniform sampler2D dashTexture;\\n\\nvarying vec4 fragColor;\\nvarying vec2 tangent;\\nvarying vec4 startCutoff, endCutoff;\\nvarying vec2 startCoord, endCoord;\\nvarying float enableStartMiter, enableEndMiter;\\n\\nfloat distToLine(vec2 p, vec2 a, vec2 b) {\\n\\tvec2 diff = b - a;\\n\\tvec2 perp = normalize(vec2(-diff.y, diff.x));\\n\\treturn dot(p - a, perp);\\n}\\n\\nvoid main() {\\n\\tfloat alpha = 1., distToStart, distToEnd;\\n\\tfloat cutoff = thickness * .5;\\n\\n\\t//bevel miter\\n\\tif (miterMode == 1.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToStart + 1., 0.), 1.);\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < -1.) {\\n\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\treturn;\\n\\t\\t\\t}\\n\\t\\t\\talpha *= min(max(distToEnd + 1., 0.), 1.);\\n\\t\\t}\\n\\t}\\n\\n\\t// round miter\\n\\telse if (miterMode == 2.) {\\n\\t\\tif (enableStartMiter == 1.) {\\n\\t\\t\\tdistToStart = distToLine(gl_FragCoord.xy, startCutoff.xy, startCutoff.zw);\\n\\t\\t\\tif (distToStart < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - startCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\n\\t\\tif (enableEndMiter == 1.) {\\n\\t\\t\\tdistToEnd = distToLine(gl_FragCoord.xy, endCutoff.xy, endCutoff.zw);\\n\\t\\t\\tif (distToEnd < 0.) {\\n\\t\\t\\t\\tfloat radius = length(gl_FragCoord.xy - endCoord);\\n\\n\\t\\t\\t\\tif(radius > cutoff + .5) {\\n\\t\\t\\t\\t\\tdiscard;\\n\\t\\t\\t\\t\\treturn;\\n\\t\\t\\t\\t}\\n\\n\\t\\t\\t\\talpha -= smoothstep(cutoff - .5, cutoff + .5, radius);\\n\\t\\t\\t}\\n\\t\\t}\\n\\t}\\n\\n\\tfloat t = fract(dot(tangent, gl_FragCoord.xy) / dashLength) * .5 + .25;\\n\\tfloat dash = texture2D(dashTexture, vec2(t, .5)).r;\\n\\n\\tgl_FragColor = fragColor;\\n\\tgl_FragColor.a *= alpha * opacity * 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main() {\\n\\tfloat depth = (MAX_LINES - 4. - id) / (MAX_LINES);\\n\\n\\tvec2 position = position * scale + translate\\n       + positionFract * scale + translateFract\\n       + position * scaleFract\\n       + positionFract * scaleFract;\\n\\n\\tgl_Position = vec4(position * 2.0 - 1.0, depth, 1);\\n\\n\\tfragColor = color / 255.;\\n\\tfragColor.a *= opacity;\\n}\\n\"]),frag:o([\"precision highp float;\\n#define GLSLIFY 1\\n\\nvarying vec4 fragColor;\\n\\nvoid main() {\\n\\tgl_FragColor = 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t=this,e=[],r=arguments.length;r--;)e[r]=arguments[r];return(e.length?e:this.passes).forEach((function(e,r){var n;if(e&&Array.isArray(e))return(n=t).draw.apply(n,e);\"number\"==typeof e&&(e=t.passes[e]),e&&e.count>1&&e.opacity&&(t.regl._refresh(),e.fill&&e.triangles&&e.triangles.length>2&&t.shaders.fill(e),e.thickness&&(e.scale[0]*e.viewport.width>y.precisionThreshold||e.scale[1]*e.viewport.height>y.precisionThreshold||\"rect\"===e.join||!e.join&&(e.thickness<=2||e.count>=y.maxPoints)?t.shaders.rect(e):t.shaders.miter(e)))})),this},y.prototype.update=function(t){var e=this;if(t){null!=t.length?\"number\"==typeof t[0]&&(t=[{positions:t}]):Array.isArray(t)||(t=[t]);var r=this.regl,o=this.gl;if(t.forEach((function(t,f){var d=e.passes[f];if(void 0!==t)if(null!==t){if(\"number\"==typeof t[0]&&(t={positions:t}),t=s(t,{positions:\"positions points data coords\",thickness:\"thickness lineWidth lineWidths line-width linewidth width stroke-width strokewidth strokeWidth\",join:\"lineJoin linejoin 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Uint8Array})},t=a({},y.defaults,t)),null!=t.thickness&&(d.thickness=parseFloat(t.thickness)),null!=t.opacity&&(d.opacity=parseFloat(t.opacity)),null!=t.miterLimit&&(d.miterLimit=parseFloat(t.miterLimit)),null!=t.overlay&&(d.overlay=!!t.overlay,f<y.maxLines&&(d.depth=2*(y.maxLines-1-f%y.maxLines)/y.maxLines-1)),null!=t.join&&(d.join=t.join),null!=t.hole&&(d.hole=t.hole),null!=t.fill&&(d.fill=t.fill?n(t.fill,\"uint8\"):null),null!=t.viewport&&(d.viewport=v(t.viewport)),d.viewport||(d.viewport=v([o.drawingBufferWidth,o.drawingBufferHeight])),null!=t.close&&(d.close=t.close),null===t.positions&&(t.positions=[]),t.positions){var m,x;if(t.positions.x&&t.positions.y){var b=t.positions.x,_=t.positions.y;x=d.count=Math.max(b.length,_.length),m=new Float64Array(2*x);for(var w=0;w<x;w++)m[2*w]=b[w],m[2*w+1]=_[w]}else m=l(t.positions,\"float64\"),x=d.count=Math.floor(m.length/2);var T=d.bounds=i(m,2);if(d.fill){for(var k=[],A={},M=0,S=0,E=0,L=d.count;S<L;S++){var C=m[2*S],P=m[2*S+1];isNaN(C)||isNaN(P)||null==C||null==P?(C=m[2*M],P=m[2*M+1],A[S]=M):M=S,k[E++]=C,k[E++]=P}if(t.splitNull){d.count-1 in A||(A[d.count]=d.count-1);var O=Object.keys(A).map(Number).sort((function(t,e){return t-e})),I=[],D=0,z=null!=d.hole?d.hole[0]:null;if(null!=z){var R=g(O,(function(t){return t>=z}));(O=O.slice(0,R)).push(z)}for(var F=function(t){var e=k.slice(2*D,2*O[t]).concat(z?k.slice(2*z):[]),r=(d.hole||[]).map((function(e){return e-z+(O[t]-D)})),n=u(e,r);n=n.map((function(e){return e+D+(e+D<O[t]?0:z-O[t])})),I.push.apply(I,n),D=O[t]+1},B=0;B<O.length;B++)F(B);for(var N=0,j=I.length;N<j;N++)null!=A[I[N]]&&(I[N]=A[I[N]]);d.triangles=I}else{for(var U=u(k,d.hole||[]),V=0,H=U.length;V<H;V++)null!=A[U[V]]&&(U[V]=A[U[V]]);d.triangles=U}}var q=new Float64Array(m);c(q,2,T);var G=new Float64Array(2*x+6);d.close?m[0]===m[2*x-2]&&m[1]===m[2*x-1]?(G[0]=q[2*x-4],G[1]=q[2*x-3]):(G[0]=q[2*x-2],G[1]=q[2*x-1]):(G[0]=q[0],G[1]=q[1]),G.set(q,2),d.close?m[0]===m[2*x-2]&&m[1]===m[2*x-1]?(G[2*x+2]=q[2],G[2*x+3]=q[3],d.count-=1):(G[2*x+2]=q[0],G[2*x+3]=q[1],G[2*x+4]=q[2],G[2*x+5]=q[3]):(G[2*x+2]=q[2*x-2],G[2*x+3]=q[2*x-1],G[2*x+4]=q[2*x-2],G[2*x+5]=q[2*x-1]);var Z=h(G);d.positionBuffer(Z);var Y=p(G,Z);d.positionFractBuffer(Y)}if(t.range?d.range=t.range:d.range||(d.range=d.bounds),(t.range||t.positions)&&d.count){var W=d.bounds,X=W[2]-W[0],J=W[3]-W[1],K=d.range[2]-d.range[0],$=d.range[3]-d.range[1];d.scale=[X/K,J/$],d.translate=[-d.range[0]/K+W[0]/K||0,-d.range[1]/$+W[1]/$||0],d.scaleFract=p(d.scale),d.translateFract=p(d.translate)}if(t.dashes){var Q,tt=0;if(!t.dashes||t.dashes.length<2)tt=1,Q=new Uint8Array([255,255,255,255,255,255,255,255]);else{tt=0;for(var et=0;et<t.dashes.length;++et)tt+=t.dashes[et];Q=new Uint8Array(tt*y.dashMult);for(var rt=0,nt=255,it=0;it<2;it++)for(var at=0;at<t.dashes.length;++at){for(var ot=0,st=t.dashes[at]*y.dashMult*.5;ot<st;++ot)Q[rt++]=nt;nt^=255}}d.dashLength=tt,d.dashTexture({channels:1,data:Q,width:Q.length,height:1,mag:\"linear\",min:\"linear\"},0,0)}if(t.color){var lt=d.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);d.colorBuffer({usage:\"dynamic\",type:\"uint8\",data:ct})}}else e.passes[f]=null})),t.length<this.passes.length){for(var f=t.length;f<this.passes.length;f++){var d=this.passes[f];d&&(d.colorBuffer.destroy(),d.positionBuffer.destroy(),d.dashTexture.destroy())}this.passes.length=t.length}for(var m=[],x=0;x<this.passes.length;x++)null!==this.passes[x]&&m.push(this.passes[x]);return this.passes=m,this}},y.prototype.destroy=function(){return this.passes.forEach((function(t){t.colorBuffer.destroy(),t.positionBuffer.destroy(),t.dashTexture.destroy()})),this.passes.length=0,this}},11870:function(t,e,r){\"use strict\";function n(t,e){return function(t){if(Array.isArray(t))return t}(t)||function(t,e){var r=null==t?null:\"undefined\"!=typeof Symbol&&t[Symbol.iterator]||t[\"@@iterator\"];if(null!=r){var n,i,a=[],o=!0,s=!1;try{for(r=r.call(t);!(o=(n=r.next()).done)&&(a.push(n.value),!e||a.length!==e);o=!0);}catch(t){s=!0,i=t}finally{try{o||null==r.return||r.return()}finally{if(s)throw i}}return a}}(t,e)||i(t,e)||function(){throw new TypeError(\"Invalid attempt to destructure non-iterable instance.\\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.\")}()}function i(t,e){if(t){if(\"string\"==typeof t)return a(t,e);var r=Object.prototype.toString.call(t).slice(8,-1);return\"Object\"===r&&t.constructor&&(r=t.constructor.name),\"Map\"===r||\"Set\"===r?Array.from(t):\"Arguments\"===r||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(r)?a(t,e):void 0}}function a(t,e){(null==e||e>t.length)&&(e=t.length);for(var r=0,n=new Array(e);r<e;r++)n[r]=t[r];return n}var o=r(25075),s=r(21527),l=r(6475),u=r(88294),c=r(56131),f=r(56068),h=r(71299),p=r(93447),d=r(30120),v=r(62683),g=r(57060),y=r(18863),m=x;function x(t,e){var r=this;if(!(this instanceof x))return new x(t,e);\"function\"==typeof t?(e||(e={}),e.regl=t):(e=t,t=null),e&&e.length&&(e.positions=e);var n,i=(t=e.regl)._gl,a=[];this.tooManyColors=v,n=t.texture({data:new 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 e.yAttr?{constant:[0,0]}:{buffer:e.positionFractBuffer,stride:8,offset:4}},size:function(t,e){return e.size.length?{buffer:e.sizeBuffer,stride:2,offset:0}:{constant:[Math.round(255*e.size/r.maxSize)]}},borderSize:function(t,e){return e.borderSize.length?{buffer:e.sizeBuffer,stride:2,offset:1}:{constant:[Math.round(255*e.borderSize/r.maxSize)]}},colorId:function(t,e){return e.color.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:0}:{constant:r.tooManyColors?a.slice(4*e.color,4*e.color+4):[e.color]}},borderColorId:function(t,e){return e.borderColor.length?{buffer:e.colorBuffer,stride:r.tooManyColors?8:4,offset:r.tooManyColors?4:2}:{constant:r.tooManyColors?a.slice(4*e.borderColor,4*e.borderColor+4):[e.borderColor]}},isActive:function(t,e){return!0===e.activation?{constant:[1]}:e.activation?e.activation:{constant:[0]}}},blend:{enable:!0,color:[0,0,0,1],func:{srcRGB:\"src alpha\",dstRGB:\"one minus src alpha\",srcAlpha:\"one minus dst alpha\",dstAlpha:\"one\"}},scissor:{enable:!0,box:t.prop(\"viewport\")},viewport:t.prop(\"viewport\"),stencil:{enable:!1},depth:{enable:!1},elements:t.prop(\"elements\"),count:t.prop(\"count\"),offset:t.prop(\"offset\"),primitive:\"points\"},s=c({},o);s.frag=f([\"precision highp float;\\n#define GLSLIFY 1\\n\\nuniform float opacity;\\nuniform sampler2D markerTexture;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat smoothStep(float x, float y) {\\n  return 1.0 / (1.0 + exp(50.0*(x - y)));\\n}\\n\\nvoid main() {\\n  float dist = texture2D(markerTexture, gl_PointCoord).r, delta = fragWidth;\\n\\n  // max-distance alpha\\n  if (dist < 0.003) discard;\\n\\n  // null-border case\\n  if (fragBorderColorLevel == fragColorLevel || fragBorderColor.a == 0.) {\\n    float colorAmt = smoothstep(.5 - delta, .5 + delta, dist);\\n    gl_FragColor = vec4(fragColor.rgb, colorAmt * fragColor.a * opacity);\\n  }\\n  else {\\n    float borderColorAmt = smoothstep(fragBorderColorLevel - delta, fragBorderColorLevel + delta, dist);\\n    float colorAmt = smoothstep(fragColorLevel - delta, fragColorLevel + delta, dist);\\n\\n    vec4 color = fragBorderColor;\\n    color.a *= borderColorAmt;\\n    color = mix(color, fragColor, colorAmt);\\n    color.a *= opacity;\\n\\n    gl_FragColor = color;\\n  }\\n\\n}\\n\"]),s.vert=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\\nuniform bool constPointSize;\\nuniform float pixelRatio;\\nuniform vec2 scale, scaleFract, translate, translateFract, paletteSize;\\nuniform sampler2D paletteTexture;\\n\\nconst float maxSize = 100.;\\nconst float borderLevel = .5;\\n\\nvarying vec4 fragColor, fragBorderColor;\\nvarying float fragPointSize, fragBorderRadius, fragWidth, fragBorderColorLevel, fragColorLevel;\\n\\nfloat pointSizeScale = (constPointSize) ? 2. : pixelRatio;\\n\\nbool isDirect = (paletteSize.x < 1.);\\n\\nvec4 getColor(vec4 id) {\\n  return isDirect ? id / 255. : texture2D(paletteTexture,\\n    vec2(\\n      (id.x + .5) / paletteSize.x,\\n      (id.y + .5) / paletteSize.y\\n    )\\n  );\\n}\\n\\nvoid main() {\\n  // ignore inactive points\\n  if (isActive == 0.) return;\\n\\n  vec2 position = vec2(x, y);\\n  vec2 positionFract = vec2(xFract, yFract);\\n\\n  vec4 color = getColor(colorId);\\n  vec4 borderColor = getColor(borderColorId);\\n\\n  float size = size * maxSize / 255.;\\n  float borderSize = borderSize * maxSize / 255.;\\n\\n  gl_PointSize = 2. * size * pointSizeScale;\\n  fragPointSize = size * pixelRatio;\\n\\n  vec2 pos = (position + translate) * scale\\n      + (positionFract + translateFract) * scale\\n      + (position + translate) * scaleFract\\n      + (positionFract + translateFract) * scaleFract;\\n\\n  gl_Position = vec4(pos * 2. - 1., 0., 1.);\\n\\n  fragColor = color;\\n  fragBorderColor = borderColor;\\n  fragWidth = 1. / gl_PointSize;\\n\\n  fragBorderColorLevel = clamp(borderLevel - borderLevel * borderSize / size, 0., 1.);\\n  fragColorLevel = clamp(borderLevel + (1. - borderLevel) * borderSize / size, 0., 1.);\\n}\"]),this.drawMarker=t(s);var l=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\\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 D=0;D<C;D++){var z=P[D];E[8*D]=v[4*z],E[8*D+1]=v[4*z+1],E[8*D+2]=v[4*z+2],E[8*D+3]=v[4*z+3];var R=O[D];E[8*D+4]=v[4*R],E[8*D+5]=v[4*R+1],E[8*D+6]=v[4*R+2],E[8*D+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(56131);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}},60487:function(t,e,r){\"use strict\";var n=r(11870),i=r(71299),a=r(21527),o=r(5877),s=r(57471),l=r(18863),u=r(30120);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 dimensions samples x\",snap:\"snap cluster\",size:\"sizes size radius\",color:\"colors color fill fill-color fillColor\",opacity:\"opacity alpha transparency 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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}},98580:function(t){t.exports=function(){function t(t,e){this.id=Z++,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=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},37715:function(t,e,r){var n=r(63489),i=r(56131);function a(t){this.local=this.regionalOptions[t||\"\"]||this.regionalOptions[\"\"]}a.prototype=new 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n=r(56131);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.newDate(t,e,r);return n.add(4-(n.dayOfWeek()||7),\"d\"),Math.floor((n.dayOfYear()-1)/7)+1},daysInMonth:function(t,e){var r=this._validate(t,e,this.minDay,u.local.invalidMonth||u.regionalOptions[\"\"].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 n=this._validate(t,e,r,u.local.invalidDate||u.regionalOptions[\"\"].invalidDate);t=n.year(),e=n.month(),r=n.day(),t<0&&t++,e<3&&(e+=12,t--);var i=Math.floor(t/100),a=2-i+Math.floor(i/4);return Math.floor(365.25*(t+4716))+Math.floor(30.6001*(e+1))+r+a-1524.5},fromJD:function(t){var e=Math.floor(t+.5),r=Math.floor((e-1867216.25)/36524.25),n=1524+(r=e+1+r-Math.floor(r/4)),i=Math.floor((n-122.1)/365.25),a=Math.floor(365.25*i),o=Math.floor((n-a)/30.6001),s=n-a-Math.floor(30.6001*o),l=o-(o>13.5?13:1),u=i-(l>2.5?4716:4715);return u<=0&&u--,this.newDate(u,l,s)},toJSDate:function(t,e,r){var 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},94338:function(t,e,r){var n=r(56131),i=r(63489);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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n=1;_+n<t.length&&t.charAt(_+n)===e;)n++;return _+=n-1,Math.floor(n/(r||1))>1}),p=function(t,e,r,n){var i=\"\"+e;if(h(t,n))for(;i.length<r;)i=\"0\"+i;return i},d=this,v=function(t){return\"function\"==typeof u?u.call(d,t,h(\"m\")):m(p(\"m\",t.month(),2))},g=function(t,e){return e?\"function\"==typeof f?f.call(d,t):f[t.month()-d.minMonth]:\"function\"==typeof c?c.call(d,t):c[t.month()-d.minMonth]},y=this.local.digits,m=function(t){return r.localNumbers&&y?y(t):t},x=\"\",b=!1,_=0;_<t.length;_++)if(b)\"'\"!==t.charAt(_)||h(\"'\")?x+=t.charAt(_):b=!1;else 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e)r.o(e,n)&&!r.o(t,n)&&Object.defineProperty(t,n,{enumerable:!0,get:e[n]})},r.g=function(){if(\"object\"==typeof globalThis)return globalThis;try{return this||new Function(\"return this\")()}catch(t){if(\"object\"==typeof window)return window}}(),r.o=function(t,e){return Object.prototype.hasOwnProperty.call(t,e)},r.r=function(t){\"undefined\"!=typeof Symbol&&Symbol.toStringTag&&Object.defineProperty(t,Symbol.toStringTag,{value:\"Module\"}),Object.defineProperty(t,\"__esModule\",{value:!0})},r(27909)}()}));\n",
       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly\n",
    "import kaleido\n",
    "import plotly.express as px\n",
    "plotly.offline.init_notebook_mode(connected=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "29c13a38",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AnnData object with n_obs × n_vars = 123622 × 25544\n",
       "    obs: 'orig.ident', 'nCount_RNA', 'nFeature_RNA', 'sample', 'stage', 'group', 'cell_state', 'cell_type', 'tei', 'n_genes'\n",
       "    var: 'features', 'genes', 'Phylostrata', 'n_cells', 'mean', 'std'\n",
       "    uns: 'log1p', 'pca', 'stage_colors', 'neighbors', 'paga', 'stage_sizes', 'umap'\n",
       "    obsm: 'X_pca', 'X_umap'\n",
       "    varm: 'PCs'\n",
       "    layers: 'counts'\n",
       "    obsp: 'distances', 'connectivities'"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "frog_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "503613a3",
   "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>UMAP1</th>\n",
       "      <th>UMAP2</th>\n",
       "      <th>UMAP3</th>\n",
       "      <th>cell_type</th>\n",
       "      <th>cell_state</th>\n",
       "      <th>tei</th>\n",
       "      <th>stage</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cell_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>S8_cell_1</th>\n",
       "      <td>7.549527</td>\n",
       "      <td>5.556860</td>\n",
       "      <td>1.716700</td>\n",
       "      <td>blastula</td>\n",
       "      <td>S8:blastula</td>\n",
       "      <td>6.149558</td>\n",
       "      <td>S8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S8_cell_2</th>\n",
       "      <td>7.573267</td>\n",
       "      <td>5.509485</td>\n",
       "      <td>1.777167</td>\n",
       "      <td>blastula</td>\n",
       "      <td>S8:blastula</td>\n",
       "      <td>6.158777</td>\n",
       "      <td>S8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S8_cell_3</th>\n",
       "      <td>7.555912</td>\n",
       "      <td>5.482943</td>\n",
       "      <td>1.783759</td>\n",
       "      <td>blastula</td>\n",
       "      <td>S8:blastula</td>\n",
       "      <td>6.179419</td>\n",
       "      <td>S8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S8_cell_4</th>\n",
       "      <td>7.496013</td>\n",
       "      <td>5.490688</td>\n",
       "      <td>1.724299</td>\n",
       "      <td>blastula</td>\n",
       "      <td>S8:blastula</td>\n",
       "      <td>6.107512</td>\n",
       "      <td>S8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>S8_cell_5</th>\n",
       "      <td>7.656127</td>\n",
       "      <td>5.530446</td>\n",
       "      <td>1.815560</td>\n",
       "      <td>blastula</td>\n",
       "      <td>S8:blastula</td>\n",
       "      <td>6.119982</td>\n",
       "      <td>S8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              UMAP1     UMAP2     UMAP3 cell_type   cell_state       tei stage\n",
       "cell_id                                                                       \n",
       "S8_cell_1  7.549527  5.556860  1.716700  blastula  S8:blastula  6.149558    S8\n",
       "S8_cell_2  7.573267  5.509485  1.777167  blastula  S8:blastula  6.158777    S8\n",
       "S8_cell_3  7.555912  5.482943  1.783759  blastula  S8:blastula  6.179419    S8\n",
       "S8_cell_4  7.496013  5.490688  1.724299  blastula  S8:blastula  6.107512    S8\n",
       "S8_cell_5  7.656127  5.530446  1.815560  blastula  S8:blastula  6.119982    S8"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame( {'UMAP1':frog_data.obsm['X_umap'][:,0], \n",
    "                    'UMAP2':frog_data.obsm['X_umap'][:,1],\n",
    "                    'UMAP3':frog_data.obsm['X_umap'][:,2],\n",
    "                    'cell_type':frog_data.obs['cell_type'].values.astype(str),\n",
    "                    'cell_state':frog_data.obs['cell_state'].values.astype(str),\n",
    "                    'tei':frog_data.obs['tei'].values,\n",
    "                    'stage':frog_data.obs['stage'].values,\n",
    "                    'cell_id':frog_data.obs.index.to_list()  } ) \n",
    "df.set_index('cell_id', inplace = True)\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "586db25a",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = px.scatter_3d(data_frame = df,\n",
    "                    x='UMAP1', \n",
    "                    y='UMAP2', \n",
    "                    z='UMAP3',\n",
    "                    color='stage')\n",
    "fig.update_traces(marker_size = 2)\n",
    "fig.write_html('frog_scatter_3d_stage.html')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "32c866dc",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = px.scatter_3d(data_frame = df,\n",
    "                    x='UMAP1', \n",
    "                    y='UMAP2', \n",
    "                    z='UMAP3',\n",
    "                    color='tei',\n",
    "                    range_color=(5,5.5))\n",
    "fig.update_traces(marker_size = 2)\n",
    "fig.write_html('frog_scatter_3d_tei.html')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "83a26f1c",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = px.scatter_3d(data_frame = df,\n",
    "                    x='UMAP1', \n",
    "                    y='UMAP2', \n",
    "                    z='UMAP3',\n",
    "                    color='cell_type')\n",
    "fig.update_traces(marker_size = 2)\n",
    "fig.write_html('frog_scatter_3d_cell_type.html')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "63192762",
   "metadata": {},
   "outputs": [],
   "source": [
    "fig = px.scatter_3d(data_frame = df,\n",
    "                    x='UMAP1', \n",
    "                    y='UMAP2', \n",
    "                    z='UMAP3',\n",
    "                    color='cell_state')\n",
    "fig.update_traces(marker_size = 2)\n",
    "fig.write_html('frog_scatter_3d_cell_state.html')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b3eccbce",
   "metadata": {},
   "source": [
    "Please have a look at the documentation for other [case studies](https://oggmap.readthedocs.io/en/latest/tutorials/index.html#case-studies)."
   ]
  }
 ],
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  "kernelspec": {
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